Mobile BI and Managerial Decision Making
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AI Summary
This assignment delves into the impact of Mobile Business Intelligence (BI) on managerial decision-making processes within business organizations. It investigates how mobile BI technologies facilitate access to real-time data, enabling managers to make informed and timely decisions. The assignment analyzes the key factors influencing the adoption and effectiveness of mobile BI, including organizational culture, technological infrastructure, and user training. Furthermore, it explores the benefits and challenges associated with using mobile BI for decision-making, such as improved agility, enhanced collaboration, and potential privacy concerns.
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Analysing the Role of Mobile BI on
Managerial Decision Making – A Case
Study of Retail Organisations in
Australia
Managerial Decision Making – A Case
Study of Retail Organisations in
Australia
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Table of Contents
Abstract.................................................................................................................................................2
Introduction and Background................................................................................................................4
Statement of the purpose.................................................................................................................5
Scope of the report............................................................................................................................6
Section 1 – Research Question..............................................................................................................6
Section 2 – Conceptual Framework.......................................................................................................8
Hypothesis.......................................................................................................................................12
Section 3 - Literature Review..............................................................................................................13
Section 4 – Methods............................................................................................................................15
Section 5 - Significance.......................................................................................................................17
Section 6 – Limitations and Delimitations...........................................................................................18
Section 7 – Ethical Issues....................................................................................................................19
References...........................................................................................................................................21
Appendix 1: Reflection Report............................................................................................................24
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Abstract.................................................................................................................................................2
Introduction and Background................................................................................................................4
Statement of the purpose.................................................................................................................5
Scope of the report............................................................................................................................6
Section 1 – Research Question..............................................................................................................6
Section 2 – Conceptual Framework.......................................................................................................8
Hypothesis.......................................................................................................................................12
Section 3 - Literature Review..............................................................................................................13
Section 4 – Methods............................................................................................................................15
Section 5 - Significance.......................................................................................................................17
Section 6 – Limitations and Delimitations...........................................................................................18
Section 7 – Ethical Issues....................................................................................................................19
References...........................................................................................................................................21
Appendix 1: Reflection Report............................................................................................................24
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Abstract
The present study aims at examining the impact of Mobile BI on managerial decision making
in retail organisation in Australia. The research questions designed are:
General Research Questions
What is the impact of Mobile BI on managerial decision making in the retail sector in
Australia?
Specific research Questions
What are the factors that influence Mobile BI usages in the managerial decision
making process?
What is the impact of Mobile BI on the behavior of the managers while making
business decisions?
What is the impact of managerial decisions taken with the help of Mobile BI on the
performance of the organisation?
Thus, the researcher in order to achieve the objectives of the study has clearly divided the
entire report in different sections where each section focuses upon a particular aspect of the
research studies. The different aspects include the introduction where the researcher has
provided research background, purpose of the report and the scope of the report. In the
following section, research questions have been formulated drawing inferences from the
research purpose and it is followed by the conceptual framework that provides a clear picture
of the ways in which different constructs of the present study are related to each other. The
next section is the literature review that provides the base of the study and it has been
designed in a manner that provides a logical structure to the research questions and
conceptual framework. Then comes the research methodology, the most important section of
the study. In this section the researcher has clearly mentioned the detailed methodology that
would be beneficial in conducting the study in an efficient manner. The research has adopted
quantitative research approach and survey method that would be conducted with the help of
the questionnaire targeted towards 200 managers from 40 retail organisations in Australia.
The collected data would be analysed with the help of SPSS software and statistical tools and
techniques like correlation, regression and ANOVA. The report provides a clear description
2 | P a g e
The present study aims at examining the impact of Mobile BI on managerial decision making
in retail organisation in Australia. The research questions designed are:
General Research Questions
What is the impact of Mobile BI on managerial decision making in the retail sector in
Australia?
Specific research Questions
What are the factors that influence Mobile BI usages in the managerial decision
making process?
What is the impact of Mobile BI on the behavior of the managers while making
business decisions?
What is the impact of managerial decisions taken with the help of Mobile BI on the
performance of the organisation?
Thus, the researcher in order to achieve the objectives of the study has clearly divided the
entire report in different sections where each section focuses upon a particular aspect of the
research studies. The different aspects include the introduction where the researcher has
provided research background, purpose of the report and the scope of the report. In the
following section, research questions have been formulated drawing inferences from the
research purpose and it is followed by the conceptual framework that provides a clear picture
of the ways in which different constructs of the present study are related to each other. The
next section is the literature review that provides the base of the study and it has been
designed in a manner that provides a logical structure to the research questions and
conceptual framework. Then comes the research methodology, the most important section of
the study. In this section the researcher has clearly mentioned the detailed methodology that
would be beneficial in conducting the study in an efficient manner. The research has adopted
quantitative research approach and survey method that would be conducted with the help of
the questionnaire targeted towards 200 managers from 40 retail organisations in Australia.
The collected data would be analysed with the help of SPSS software and statistical tools and
techniques like correlation, regression and ANOVA. The report provides a clear description
2 | P a g e
and detailed information in context to the research limitations and the ways in which the
researcher would strive towards maintaining the ethics of the research.
Introduction and Background
As study conducted by the Chaudhuri, Dayal, & Narasayya, (2011), said that in present year,
information has become most significant assets for the business to treasure. Each year several
organizations spend huge money to maintain the enterprise system that manage process and
deliver information to management in decision making process. The fundament benefits of
using enterprises software and system at workplace is to manage information and to permit
organization to supervise, organize and operate organization function on the basis of accuracy
as well as complete business knowledge.
According to the Elbashir, Collier, & Davern, (2008), Business intelligence is rigorous
procedures of sharing data into organization’s function and then into actionable acquaintance.
The collected information from several sources in the organization is transformed and
converted into data and then knowledge through analysis and processing. The outcome
knowledge offers the foundation for organization in strategic decision making procedures.
Green, Rutherford, & Turner, (2009), said that increase in the availability and accessibility
and enhanced performance of portable devices such as mobile and smart phones system
facilities flexibility of on information collection and evaluation, consequently extending BI to
Smartphone devices. As studies conducted by the Solomon Negash, (2008), said that mobile
BI is the system that helps the management to accelerate, assist and ease of decision making
process through the data delivered by the system.
As per the data published by the statista, (2017), it is seen that total number of the mobile
phone users in worldwide is increased from 2013 to 2017. In the year of 2013 4.01 billions
users are using mobile devices whereas in the year of 2017 the numbers of the mobile phone
users are reaching to 5.07 billion; that signifies that growth of the adoption of mobile devices
is increasing fast manner.
Illustrated figure 1.1; shows that significant of the mobile devices in context to the
organization size. Figure 1.1; further corroborate the developing trend between the larger
organization and smaller organizations with respect to significant of mobile business
intelligence as opposed to midsize business.
3 | P a g e
researcher would strive towards maintaining the ethics of the research.
Introduction and Background
As study conducted by the Chaudhuri, Dayal, & Narasayya, (2011), said that in present year,
information has become most significant assets for the business to treasure. Each year several
organizations spend huge money to maintain the enterprise system that manage process and
deliver information to management in decision making process. The fundament benefits of
using enterprises software and system at workplace is to manage information and to permit
organization to supervise, organize and operate organization function on the basis of accuracy
as well as complete business knowledge.
According to the Elbashir, Collier, & Davern, (2008), Business intelligence is rigorous
procedures of sharing data into organization’s function and then into actionable acquaintance.
The collected information from several sources in the organization is transformed and
converted into data and then knowledge through analysis and processing. The outcome
knowledge offers the foundation for organization in strategic decision making procedures.
Green, Rutherford, & Turner, (2009), said that increase in the availability and accessibility
and enhanced performance of portable devices such as mobile and smart phones system
facilities flexibility of on information collection and evaluation, consequently extending BI to
Smartphone devices. As studies conducted by the Solomon Negash, (2008), said that mobile
BI is the system that helps the management to accelerate, assist and ease of decision making
process through the data delivered by the system.
As per the data published by the statista, (2017), it is seen that total number of the mobile
phone users in worldwide is increased from 2013 to 2017. In the year of 2013 4.01 billions
users are using mobile devices whereas in the year of 2017 the numbers of the mobile phone
users are reaching to 5.07 billion; that signifies that growth of the adoption of mobile devices
is increasing fast manner.
Illustrated figure 1.1; shows that significant of the mobile devices in context to the
organization size. Figure 1.1; further corroborate the developing trend between the larger
organization and smaller organizations with respect to significant of mobile business
intelligence as opposed to midsize business.
3 | P a g e
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Figure 1Importance of Mobile business intelligence by organization size
Source [www.microstrategy.com]
From the above figure it is noted that smaller organization tend to more agile as well as more
readily integrate with the new information technologies into their organization operations
whereas the larger organizations tends to have more assets available to address emerging and
new technologies.
Statement of the purpose
The present study has been envisioned to investigative the impact of the Mobile Business
intelligence for organization managerial decision making process. Drawing on the rich
literature of managerial decision making procedures, Business intelligence and mobile
computing and application on organization performance, this study future bring forward
discussions on impact of mobile technology to managerial decision making process. In this
section follow, scope of the research of this study is to be discussed.
4 | P a g e
Source [www.microstrategy.com]
From the above figure it is noted that smaller organization tend to more agile as well as more
readily integrate with the new information technologies into their organization operations
whereas the larger organizations tends to have more assets available to address emerging and
new technologies.
Statement of the purpose
The present study has been envisioned to investigative the impact of the Mobile Business
intelligence for organization managerial decision making process. Drawing on the rich
literature of managerial decision making procedures, Business intelligence and mobile
computing and application on organization performance, this study future bring forward
discussions on impact of mobile technology to managerial decision making process. In this
section follow, scope of the research of this study is to be discussed.
4 | P a g e
Scope of the report
The present study is targeted only organization workers occupying managerial position in
retail sectors in Australia. The respondents of the study were comprised only of experience
consumers and users of BI on their portable devices such as tablets and mobile phones. The
present study mainly empathized on the managerial usage behavior of mobile business
intelligence. Managers of the organization were asked to analyze and evaluate their current
utilizes of mobile business intelligence together with a prediction of upcoming utilizes of
mobile business intelligence i.e. BI related with their employment task.
The encouragement behind delineating scope in such manner (i.e. by only asking questions
within the managers who utilizes the mobile business intelligence and not all the other
managers of the organization) is that, this stringent inclusion criterion improved the
correctness and emphasized of the study. This would help the possibility to generalize the
result back to the managerial population not only the Australia but also the entire nations.
Section 1 – Research Question
The studies conducted by Antoniou et al., (2012) has revealed that it is not longer viable to
make business decisions on the basis of intuition in the modern interconnected information
economy that was a general trend in the earlier days. However, advancements in technology
have led to the development of information era where the business organisations are
facilitated with wide range of tools to support the decision makers. So, this has proved to be
beneficial in meeting the unprecedented demand for consolidating data from various sources
for efficiently analysing and understanding the business information and predicting the
change.
Azvine et al., (2009) advocated the need for Business Intelligence (BI) solutions that are
capable of providing agility, capability to asses and reinventing and adjusting the
organisational changes. So, in this context, it has been proposed by Ben-Zvi, (2012) that
Mobile Business Intelligence in the recent times has emerged as a form of technology that is
capable of delivering the demanded solutions to the business organisations mainly because of
its real time characteristics. Thus, it can be said that the advent of the mobile devices that
include the smart phones and tablets together with the advent of better and enhanced
telecommunication systems and easy availability of the cheaper connectivity rates has
5 | P a g e
The present study is targeted only organization workers occupying managerial position in
retail sectors in Australia. The respondents of the study were comprised only of experience
consumers and users of BI on their portable devices such as tablets and mobile phones. The
present study mainly empathized on the managerial usage behavior of mobile business
intelligence. Managers of the organization were asked to analyze and evaluate their current
utilizes of mobile business intelligence together with a prediction of upcoming utilizes of
mobile business intelligence i.e. BI related with their employment task.
The encouragement behind delineating scope in such manner (i.e. by only asking questions
within the managers who utilizes the mobile business intelligence and not all the other
managers of the organization) is that, this stringent inclusion criterion improved the
correctness and emphasized of the study. This would help the possibility to generalize the
result back to the managerial population not only the Australia but also the entire nations.
Section 1 – Research Question
The studies conducted by Antoniou et al., (2012) has revealed that it is not longer viable to
make business decisions on the basis of intuition in the modern interconnected information
economy that was a general trend in the earlier days. However, advancements in technology
have led to the development of information era where the business organisations are
facilitated with wide range of tools to support the decision makers. So, this has proved to be
beneficial in meeting the unprecedented demand for consolidating data from various sources
for efficiently analysing and understanding the business information and predicting the
change.
Azvine et al., (2009) advocated the need for Business Intelligence (BI) solutions that are
capable of providing agility, capability to asses and reinventing and adjusting the
organisational changes. So, in this context, it has been proposed by Ben-Zvi, (2012) that
Mobile Business Intelligence in the recent times has emerged as a form of technology that is
capable of delivering the demanded solutions to the business organisations mainly because of
its real time characteristics. Thus, it can be said that the advent of the mobile devices that
include the smart phones and tablets together with the advent of better and enhanced
telecommunication systems and easy availability of the cheaper connectivity rates has
5 | P a g e
facilitated the modern day employees with the opportunity to be more mobile while they are
away from their office desks.
It has also been advocated by Brodzinski et al., (2013) that the Mobile BI has proved to be
beneficial in easily accessing the corporate information through the managers’ mobile
devices. So, this relative flexibility has facilitated the business managers with the option and
opportunity to perform their tasks efficiently while they are away from their office desk
travelling or attending some important meetings or visiting different companies or visiting a
client site. So, it can be said that the need on the part of the mobile workers to receive up to
date BI information in real time so that they can make instantaneous decisions is of critical
importance. In addition, contributing to the benefits Mobile BI, Hedgebeth, (2010) has opined
that easy accessibility to the real time information has allowed the managers in performing
their tasks easily and make the most of their decision making. Moreover, it has also enhanced
the daily managerial tasks that include the supervising and coordinating functions together
with the operational processes within the organisation.
Thus, drawing inference from the above discussions, it becomes evident that the Mobile BI
mainly because of its ability to facilitate the managers with real time information has
emerged as an important enabler of performance and value within the organisations. The
opportunity on the part of the managers to have a real time access to the desired information
has added value to the decision making process by making the reducing the time involved in
decision making together with efficiency of decisions since they are based upon real time
facts and information rather than upon intuitions (Green et al., 2009).
As has been opined by Davenport, (2012) that the managers within the organisations are
responsible for executing critical decisions under complicated and unpredictable conditions
on a regular basis. He also put forward the fact that in this process of decision making, the
managers at times do not possess the conventional skills of decision making and problem
solving that are crucial in making efficient decisions. So, this creates a demand for a decision
support system that can provide tem support in their decision making endeavour. Thus,
Mobile BI can be considered to be an important decision support system for supporting the
decision making process of the managers.
However, analysis of the available literature revealed the fact that there exist little empirical
evidence that demonstrate the usefulness and importance of Mobile BI in the decision making
process of the managers. So, this encouraged the researcher to undertake the study on
6 | P a g e
away from their office desks.
It has also been advocated by Brodzinski et al., (2013) that the Mobile BI has proved to be
beneficial in easily accessing the corporate information through the managers’ mobile
devices. So, this relative flexibility has facilitated the business managers with the option and
opportunity to perform their tasks efficiently while they are away from their office desk
travelling or attending some important meetings or visiting different companies or visiting a
client site. So, it can be said that the need on the part of the mobile workers to receive up to
date BI information in real time so that they can make instantaneous decisions is of critical
importance. In addition, contributing to the benefits Mobile BI, Hedgebeth, (2010) has opined
that easy accessibility to the real time information has allowed the managers in performing
their tasks easily and make the most of their decision making. Moreover, it has also enhanced
the daily managerial tasks that include the supervising and coordinating functions together
with the operational processes within the organisation.
Thus, drawing inference from the above discussions, it becomes evident that the Mobile BI
mainly because of its ability to facilitate the managers with real time information has
emerged as an important enabler of performance and value within the organisations. The
opportunity on the part of the managers to have a real time access to the desired information
has added value to the decision making process by making the reducing the time involved in
decision making together with efficiency of decisions since they are based upon real time
facts and information rather than upon intuitions (Green et al., 2009).
As has been opined by Davenport, (2012) that the managers within the organisations are
responsible for executing critical decisions under complicated and unpredictable conditions
on a regular basis. He also put forward the fact that in this process of decision making, the
managers at times do not possess the conventional skills of decision making and problem
solving that are crucial in making efficient decisions. So, this creates a demand for a decision
support system that can provide tem support in their decision making endeavour. Thus,
Mobile BI can be considered to be an important decision support system for supporting the
decision making process of the managers.
However, analysis of the available literature revealed the fact that there exist little empirical
evidence that demonstrate the usefulness and importance of Mobile BI in the decision making
process of the managers. So, this encouraged the researcher to undertake the study on
6 | P a g e
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analysing the impact of Mobile BI on managerial decision making in organisations operating
in the retail sector in Australia. The researcher in the present study has emphasised upon
selecting the retail sector since in the retail business environment is considered as an
ultracompetitive retailing world of today that makes it important for the business managers to
gain an enhanced understanding of their customers and win them that in itself is a quite
complicated task (Elbashir et al., 2008). Moreover, the business environment is also
characterised with unpredictable changes in the tastes, preferences and trends in the buying
behavior of the consumers that makes it necessary and important on the part of the managers
to be quick and prompt in their decision making process with the help of the data that pours
in from multiple systems, channels and regions around the clock. So, accessibility to real time
information for managers is of great importance for the managers in the retail sector thereby
encouraging the researcher to study the sector in his present study.
Te above aspects in context to the undertaken study has led the researcher to the following
general and specific research questions to be investigated further with the progress of the
study.
General Research Questions
What is the impact of Mobile BI on managerial decision making in the retail sector in
Australia?
Specific research Questions
What are the factors that influence Mobile BI usages in the managerial decision
making process?
What is the impact of Mobile BI on the behavior of the managers while making
business decisions?
What is the impact of managerial decisions taken with the help of Mobile BI on the
performance of the organisation?
Section 2 – Conceptual Framework
Exiting literature in context to the user behaviour has led to the development of a base that
proved to be beneficial for the researcher in establishing various factors that leads and
encourage the users towards accepting various technologies. Thus, on the basis of the
available literature, it has been observed that there are six important constructs that proved to
7 | P a g e
in the retail sector in Australia. The researcher in the present study has emphasised upon
selecting the retail sector since in the retail business environment is considered as an
ultracompetitive retailing world of today that makes it important for the business managers to
gain an enhanced understanding of their customers and win them that in itself is a quite
complicated task (Elbashir et al., 2008). Moreover, the business environment is also
characterised with unpredictable changes in the tastes, preferences and trends in the buying
behavior of the consumers that makes it necessary and important on the part of the managers
to be quick and prompt in their decision making process with the help of the data that pours
in from multiple systems, channels and regions around the clock. So, accessibility to real time
information for managers is of great importance for the managers in the retail sector thereby
encouraging the researcher to study the sector in his present study.
Te above aspects in context to the undertaken study has led the researcher to the following
general and specific research questions to be investigated further with the progress of the
study.
General Research Questions
What is the impact of Mobile BI on managerial decision making in the retail sector in
Australia?
Specific research Questions
What are the factors that influence Mobile BI usages in the managerial decision
making process?
What is the impact of Mobile BI on the behavior of the managers while making
business decisions?
What is the impact of managerial decisions taken with the help of Mobile BI on the
performance of the organisation?
Section 2 – Conceptual Framework
Exiting literature in context to the user behaviour has led to the development of a base that
proved to be beneficial for the researcher in establishing various factors that leads and
encourage the users towards accepting various technologies. Thus, on the basis of the
available literature, it has been observed that there are six important constructs that proved to
7 | P a g e
be beneficial in developing the conceptual model of the present study. The important
constructs include the perceived ease of use, the perceived value, the attitude towards use of
Mobile BI, quality of information, corporate strategy and behavioural intention to use Mobile
BI.
As per the study conducted by (Chaudhuri et al., 2011), perceived ease of use can be defined
as the extent to which a technology is perceived as easy to use by the individuals. Thus, in
context to the use of Mobile BI for managerial decision making, the technology might be
perceived as difficult to learn, use and understand by the managers. So, it becomes important
that the managers should be facilitated with all the desired information deemed important for
taking decisions through Mobile BI should be presented in a manner that makes the
technology easy to use and understand by the managers. This would prove to be influential in
changing the attitude of the managers towards use of Mobile BI and change their perception
towards Mobile BI by making them understand the value of using Mobile BI in
accomplishing their tasks.
The studies conducted by Yeoh, & Koronios, (2010) has revealed that the users may not
possess a reason for getting convinced for adopting Mobile BI until and unless, the
technology is capable of generating new alternatives in situations where the mobility is of
utmost importance. Thus, perceived usefulness can be replaced with the perceived value of
Mobile BI. Value of Mobile BI can be established by providing clear description in context to
the goals and objectives of adopting Mobile BI and these goals and objectives can be directly
related to the existing problem that the manager is facing.
It has been opined by Yeoh, & Koronios, (2010) that managerial decision making process is
dependent mainly upon the individual decision maker, the environment and the organisation
in which the manager operates together with integrity and the quality of information at the
manager’s disposal. The major issue that is faced by the manager in not about the doing the
things in the right manner, rather the problem faced is accessibility of right information to
gain an understanding of the right things to do and how to do. The studies conducted by
Brodzinski et al., (2013) have put forward the fact that the delayed, inadequate and
incomplete information is looked upon as a serious quality problem. So, in this context it can
be said that the mobility aspect of Mobile BI tends to add a real time advantage to the system
thereby facilitating the managers with easy accessibility of information anytime and
8 | P a g e
constructs include the perceived ease of use, the perceived value, the attitude towards use of
Mobile BI, quality of information, corporate strategy and behavioural intention to use Mobile
BI.
As per the study conducted by (Chaudhuri et al., 2011), perceived ease of use can be defined
as the extent to which a technology is perceived as easy to use by the individuals. Thus, in
context to the use of Mobile BI for managerial decision making, the technology might be
perceived as difficult to learn, use and understand by the managers. So, it becomes important
that the managers should be facilitated with all the desired information deemed important for
taking decisions through Mobile BI should be presented in a manner that makes the
technology easy to use and understand by the managers. This would prove to be influential in
changing the attitude of the managers towards use of Mobile BI and change their perception
towards Mobile BI by making them understand the value of using Mobile BI in
accomplishing their tasks.
The studies conducted by Yeoh, & Koronios, (2010) has revealed that the users may not
possess a reason for getting convinced for adopting Mobile BI until and unless, the
technology is capable of generating new alternatives in situations where the mobility is of
utmost importance. Thus, perceived usefulness can be replaced with the perceived value of
Mobile BI. Value of Mobile BI can be established by providing clear description in context to
the goals and objectives of adopting Mobile BI and these goals and objectives can be directly
related to the existing problem that the manager is facing.
It has been opined by Yeoh, & Koronios, (2010) that managerial decision making process is
dependent mainly upon the individual decision maker, the environment and the organisation
in which the manager operates together with integrity and the quality of information at the
manager’s disposal. The major issue that is faced by the manager in not about the doing the
things in the right manner, rather the problem faced is accessibility of right information to
gain an understanding of the right things to do and how to do. The studies conducted by
Brodzinski et al., (2013) have put forward the fact that the delayed, inadequate and
incomplete information is looked upon as a serious quality problem. So, in this context it can
be said that the mobility aspect of Mobile BI tends to add a real time advantage to the system
thereby facilitating the managers with easy accessibility of information anytime and
8 | P a g e
anywhere. So, quality of information plays a major role in significantly influencing the
construct to the usage behaviour.
As per the studies conducted by Lahrmann et al., (2011), it can be said that attitude towards
innovation is considered as a dominant construct in taking decisions in context to adopting
new innovation. So, attitude towards an information technology can be formulated as an
evaluation criterion for the managers in context to developing an interest towards efficiently
suing a particular technology. So, attitude towards a particular technology can be considered
to be an important aspect in influencing the behavior of the managers towards using Mobile
BI.
Sahay & Ranjan, (2008) opined that managers have the responsibility towards making
decisions in order to drive the organisational strategic direction and implementing an
organisation based control and coordination in the business operations. As per the studies
conducted by Vercellis, (2011), the behavior of the users is influenced by the behavioural
intention to use and so it can be said that the behavioural intention to use is important in
predicting the usage behavior.
Sabherwal & Becerra-Fernandez, (2011) has opined that organisational decision making
proves to be beneficial in developing the fundamental plans and policies that are important
for successfully accomplishing the organisational goals and objectives. He also proposed that
managers tend to play a major role in organisational decision making. The goals, strategies
and objectives of the organisation are significantly influenced by the ways in which the
managers strive towards making an effective use of the traditional information technologies
that include Business Intelligence. Moreover, the decision makers within the organisation are
aimed making decisions that are efficiently aligned with organisational objectives and goals
(Bensberg, 2008). So, in context to the present study, managerial decision making can be
considered to be crucial since it tends to influence the goals and objectives of the organisation
which in turn has an impact on the performance and transformation of the organisation as a
whole.
Thus, the conceptual model of the research study can be depicted with the help of the
following figure:
9 | P a g e
construct to the usage behaviour.
As per the studies conducted by Lahrmann et al., (2011), it can be said that attitude towards
innovation is considered as a dominant construct in taking decisions in context to adopting
new innovation. So, attitude towards an information technology can be formulated as an
evaluation criterion for the managers in context to developing an interest towards efficiently
suing a particular technology. So, attitude towards a particular technology can be considered
to be an important aspect in influencing the behavior of the managers towards using Mobile
BI.
Sahay & Ranjan, (2008) opined that managers have the responsibility towards making
decisions in order to drive the organisational strategic direction and implementing an
organisation based control and coordination in the business operations. As per the studies
conducted by Vercellis, (2011), the behavior of the users is influenced by the behavioural
intention to use and so it can be said that the behavioural intention to use is important in
predicting the usage behavior.
Sabherwal & Becerra-Fernandez, (2011) has opined that organisational decision making
proves to be beneficial in developing the fundamental plans and policies that are important
for successfully accomplishing the organisational goals and objectives. He also proposed that
managers tend to play a major role in organisational decision making. The goals, strategies
and objectives of the organisation are significantly influenced by the ways in which the
managers strive towards making an effective use of the traditional information technologies
that include Business Intelligence. Moreover, the decision makers within the organisation are
aimed making decisions that are efficiently aligned with organisational objectives and goals
(Bensberg, 2008). So, in context to the present study, managerial decision making can be
considered to be crucial since it tends to influence the goals and objectives of the organisation
which in turn has an impact on the performance and transformation of the organisation as a
whole.
Thus, the conceptual model of the research study can be depicted with the help of the
following figure:
9 | P a g e
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10 | P a g e
Hypothesis
Perceived ease of use tends to positively influence use of Mobile BI for managerial
decision making
Perceived value tends to positively influence use of Mobile BI for managerial
decision making
11 | P a g e
Mobile BI
Perceived value
of Mobile BI
Perceived ease
of use of
Mobile BI
Enhanced
Managerial
decision
making
Enhanced
organisatio
nal
performanc
e
Perceived ease of use tends to positively influence use of Mobile BI for managerial
decision making
Perceived value tends to positively influence use of Mobile BI for managerial
decision making
11 | P a g e
Mobile BI
Perceived value
of Mobile BI
Perceived ease
of use of
Mobile BI
Enhanced
Managerial
decision
making
Enhanced
organisatio
nal
performanc
e
Section 3 - Literature Review
As said by the Cella, Golfarelli & Rizzi (2004), Business intelligence is one of the most
effective research topic in information system, therefore example several definition of BI is
available. The term of the business intelligence was first introduced by the Dressner in the
year of 1989 as a unified manner for explaining a set of techniques, methods and constructs
utilized to enhance organization discussion making process. Chen, Chiang, & Storey, (2012),
reckons that BI is an analysis and integration of the information to offers the relevant data to
the right person in the business. Chaudhuri, Dayal & Narasayya, (2011),.considered that
Business intelligence as a construct that is build up a range of analytical solutions and
systems for consolidating, collecting, offering and analyzing the data in such manner that
allows the organization to enhance organization decision making.
As study conducted by the Yeoh, & Koronios, (2010), explain that business intelligence is the
managerial tools and techniques that aids organizations refine and manage information with
the purpose of making better decision making.
Emphasizing this study’s objective and purpose is to analyze and evaluate the impact of the
mobile business intelligence on the respondents group i.e. managers, for objective of this
study Chaudhuri, Dayal, & Narasayya, (2011),definition of BI was reckoned to as the most
better explanation.
In technology environment, Business intelligence is an invaluable resource because it aids
decreases information technology infrastrure expenses by obtaining rid of excess information
extraction process as well as duplication of the data stored in independent information pools
with the business. As studies conducted by the Brodzinski et al., (2013) said that business
intelligence allows management decision maker to enhance organization decision on the basis
of processing, analyzing, consistent acquisitions, analysis and use of the data.
According to the Yeoh, & Koronios, (2010),then BI and aptitude of the data analysis are
combine into the business process, this helps to decision being more measurable, consistent,
it is easy to monitor then as well as more importantly they are truthful and accurate. As study
conducted by the Cella, Golfarelli & Rizzi (2004), In order to transfer tactical procedures to
strategic procedures, BI is a set of the key organization procedures and it involves
12 | P a g e
As said by the Cella, Golfarelli & Rizzi (2004), Business intelligence is one of the most
effective research topic in information system, therefore example several definition of BI is
available. The term of the business intelligence was first introduced by the Dressner in the
year of 1989 as a unified manner for explaining a set of techniques, methods and constructs
utilized to enhance organization discussion making process. Chen, Chiang, & Storey, (2012),
reckons that BI is an analysis and integration of the information to offers the relevant data to
the right person in the business. Chaudhuri, Dayal & Narasayya, (2011),.considered that
Business intelligence as a construct that is build up a range of analytical solutions and
systems for consolidating, collecting, offering and analyzing the data in such manner that
allows the organization to enhance organization decision making.
As study conducted by the Yeoh, & Koronios, (2010), explain that business intelligence is the
managerial tools and techniques that aids organizations refine and manage information with
the purpose of making better decision making.
Emphasizing this study’s objective and purpose is to analyze and evaluate the impact of the
mobile business intelligence on the respondents group i.e. managers, for objective of this
study Chaudhuri, Dayal, & Narasayya, (2011),definition of BI was reckoned to as the most
better explanation.
In technology environment, Business intelligence is an invaluable resource because it aids
decreases information technology infrastrure expenses by obtaining rid of excess information
extraction process as well as duplication of the data stored in independent information pools
with the business. As studies conducted by the Brodzinski et al., (2013) said that business
intelligence allows management decision maker to enhance organization decision on the basis
of processing, analyzing, consistent acquisitions, analysis and use of the data.
According to the Yeoh, & Koronios, (2010),then BI and aptitude of the data analysis are
combine into the business process, this helps to decision being more measurable, consistent,
it is easy to monitor then as well as more importantly they are truthful and accurate. As study
conducted by the Cella, Golfarelli & Rizzi (2004), In order to transfer tactical procedures to
strategic procedures, BI is a set of the key organization procedures and it involves
12 | P a g e
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information infrastrure procedures, Business and decision procedures and analytics
procedures.
BI technologies offers the ability to analyze and evaluate organization information to
facilitates and enhance management decision making all the way through a wide range of the
organization process Brodzinski et al., (2013), On the other hand, mobility technology offers
several advantage to the organization such as, flexibility (service can be easily accessed while
needed) and pervasiveness (accessing of services anytime, anywhere). Moreover, mobile
devices offer the benefit to immediate connectively as well as personalization. Moreover,
going the Yeoh, & Koronios, (2010), BI definition, which says that business intelligence is
the procedures of turning information into data and then into understanding (knowledge).
This signifies that idea of the mobile business intelligence which comes into reality, when the
concept of traditional as well as mobility BI are fused with each other become so an vital
enabling technology of the organization’s managers. Moreover, within the organization
distinguish managers have different requirements when it come into the decision making
procedures.
According to the Brodzinski et al., (2013), mobile business intelligence has the potential
benefits to support management effectively beyond the boundaries of the office with help of
supporting curial real time data for decision making procedures.
Mobile business intelligence can be considered in several instances as organization workers
who required relevant, accurate, real time business information, complete information to
build an effective decision. These workers are mainly organization executives or business
managers.
Green, Rutherford, & Turner, (2009) said that categories that management decision making
procedures in business into two kinds of decision; strategic and operational decisions.
Solomon Negash, (2008),said that strategic decision making process is more considered with
the establishing organization overall policies and direction whereas operational decision
making is more concerned about the daily executing of the organization. Both are viral for the
development and survival of the business. mobile BI enhanced the knowledge sharing to
support business cohesion and collaboration, improved workforce productivity and efficiency
by deceasing time to accessing information and time to decision making process. Mobile
business intelligence has an ability to act swiftly to emerging crises and mitigate risks that
13 | P a g e
procedures.
BI technologies offers the ability to analyze and evaluate organization information to
facilitates and enhance management decision making all the way through a wide range of the
organization process Brodzinski et al., (2013), On the other hand, mobility technology offers
several advantage to the organization such as, flexibility (service can be easily accessed while
needed) and pervasiveness (accessing of services anytime, anywhere). Moreover, mobile
devices offer the benefit to immediate connectively as well as personalization. Moreover,
going the Yeoh, & Koronios, (2010), BI definition, which says that business intelligence is
the procedures of turning information into data and then into understanding (knowledge).
This signifies that idea of the mobile business intelligence which comes into reality, when the
concept of traditional as well as mobility BI are fused with each other become so an vital
enabling technology of the organization’s managers. Moreover, within the organization
distinguish managers have different requirements when it come into the decision making
procedures.
According to the Brodzinski et al., (2013), mobile business intelligence has the potential
benefits to support management effectively beyond the boundaries of the office with help of
supporting curial real time data for decision making procedures.
Mobile business intelligence can be considered in several instances as organization workers
who required relevant, accurate, real time business information, complete information to
build an effective decision. These workers are mainly organization executives or business
managers.
Green, Rutherford, & Turner, (2009) said that categories that management decision making
procedures in business into two kinds of decision; strategic and operational decisions.
Solomon Negash, (2008),said that strategic decision making process is more considered with
the establishing organization overall policies and direction whereas operational decision
making is more concerned about the daily executing of the organization. Both are viral for the
development and survival of the business. mobile BI enhanced the knowledge sharing to
support business cohesion and collaboration, improved workforce productivity and efficiency
by deceasing time to accessing information and time to decision making process. Mobile
business intelligence has an ability to act swiftly to emerging crises and mitigate risks that
13 | P a g e
helps the organization to increase brand name and customers satisfaction through accurate
discussion and timely.
Technology acceptance models for mobile services suggests that perceived values deals with
how customers perceive a mobile devices or services to be consistent and degree of control
customers have over their personal data when utilizing servicers (Green, Rutherford, &
Turner, 2009) In addition to this, from a mobile point of views, amongst the significant
factors that impact acceptance is the perceived.
Therefore from the observation and findings it is observed that in technology society
implementation of the mobile business intelligence not only helps the manager to build better
decision making process but also helps to achieve higher profits.
Section 4 – Methods
The researcher in the present study would focus upon examining the impact of Mobile BI on
managerial decision making in organisations. So, in this context, the researcher would strive
towards constructing some theoretical knowledge on the basis of the available literature.
Thus, the researcher would aim at deriving answers to the research questions in order to
successfully achieve the research objectives. Thus, the researcher would require an approach
that would be appropriate for explaining the complexity that is associated with what the study
is aims to understand (Bernard, 2011). The researcher through the present study would not
only aim at investigating an emerging discipline i.e. Mobile BI, but would also make an
attempt of measuring the influence of Mobile BI on managerial decision making within the
organisations operating in the retail sector in Australia. Thus, as per the nature and purpose of
the study, quantitative approach would be suitable.
Moreover, in context to quantitative approach, the researcher would adopt the survey method.
The survey would involve the managers of the retail industry in Australia. The survey method
would be beneficial in making use of particular segment of a population group and
generalising the outcomes back to the population (Hair and Money, 2011).
The survey would be conducted with the help of questionnaire to collect the responses of the
managers. However, it would not be possible on the part of the researcher to collect the
responses of all the managers of the retail sector due to time and financial constraints. Thus
sampling would prove to be beneficial in conducting the survey on the selected sample
14 | P a g e
discussion and timely.
Technology acceptance models for mobile services suggests that perceived values deals with
how customers perceive a mobile devices or services to be consistent and degree of control
customers have over their personal data when utilizing servicers (Green, Rutherford, &
Turner, 2009) In addition to this, from a mobile point of views, amongst the significant
factors that impact acceptance is the perceived.
Therefore from the observation and findings it is observed that in technology society
implementation of the mobile business intelligence not only helps the manager to build better
decision making process but also helps to achieve higher profits.
Section 4 – Methods
The researcher in the present study would focus upon examining the impact of Mobile BI on
managerial decision making in organisations. So, in this context, the researcher would strive
towards constructing some theoretical knowledge on the basis of the available literature.
Thus, the researcher would aim at deriving answers to the research questions in order to
successfully achieve the research objectives. Thus, the researcher would require an approach
that would be appropriate for explaining the complexity that is associated with what the study
is aims to understand (Bernard, 2011). The researcher through the present study would not
only aim at investigating an emerging discipline i.e. Mobile BI, but would also make an
attempt of measuring the influence of Mobile BI on managerial decision making within the
organisations operating in the retail sector in Australia. Thus, as per the nature and purpose of
the study, quantitative approach would be suitable.
Moreover, in context to quantitative approach, the researcher would adopt the survey method.
The survey would involve the managers of the retail industry in Australia. The survey method
would be beneficial in making use of particular segment of a population group and
generalising the outcomes back to the population (Hair and Money, 2011).
The survey would be conducted with the help of questionnaire to collect the responses of the
managers. However, it would not be possible on the part of the researcher to collect the
responses of all the managers of the retail sector due to time and financial constraints. Thus
sampling would prove to be beneficial in conducting the survey on the selected sample
14 | P a g e
representing the entire population. The sample section methods include probabilistic and non-
probabilistic sampling. Thus, in the present study, the researcher would adopt probabilistic
sampling technique since it would prove to be beneficial in facilitating the managers with
equal opportunity to participate in the survey (VanderStoep and Johnson, 2009). Thus, in
order to conduct the survey, the researcher would strive towards targeting 200 managers from
40 retail organisations in Australia i.e. approximately 5 managers from each company.
Moreover, the researcher would impose some inclusion criteria for the sample that would
include the fact that only those individuals who are in a managerial position in their
respective department or business units within their organisation would be eligible to
participate in the survey and the participants need to possess some knowledge of Business
Intelligence and they should have been using mobile devices like smart phones and tablets to
consume BI for making business decisions.
The survey design would be used in the present quantitative study and targeted sample for the
study would be 200 managers. The targeted sample size has been decided for two reasons. It
would be beneficial in ensuring high response rate and it would also prove to be beneficial in
maximising the quality of data for deriving substantial information (Harrison and Reilly,
2011). So, this would be beneficial in explaining and addressing the primary research
questions.
After collecting the data, the researcher in order to guarantee readability and completeness
would verify individual questionnaire. This would also be beneficial in ensuring the accuracy
and consistency together with preventing potential errors.
The collected data would then be captured in Statistical Package for Social Sciences (SPSS)
software. Descriptive statistics would be used for testing each individual question and other
statistical tools and techniques would also be used for analysing the collected data (Cooper
and Schindler, 2010).
Correlation coefficient would be used for determining the degree to which two or more
variables are related to each other thereby providing a direction of the considered relationship
(Crowther and Lancaster, 2012).
Multiple regression would be used for specifying whether there exist any significant
relationship between independent variables and dependent variables considered for the study
15 | P a g e
probabilistic sampling. Thus, in the present study, the researcher would adopt probabilistic
sampling technique since it would prove to be beneficial in facilitating the managers with
equal opportunity to participate in the survey (VanderStoep and Johnson, 2009). Thus, in
order to conduct the survey, the researcher would strive towards targeting 200 managers from
40 retail organisations in Australia i.e. approximately 5 managers from each company.
Moreover, the researcher would impose some inclusion criteria for the sample that would
include the fact that only those individuals who are in a managerial position in their
respective department or business units within their organisation would be eligible to
participate in the survey and the participants need to possess some knowledge of Business
Intelligence and they should have been using mobile devices like smart phones and tablets to
consume BI for making business decisions.
The survey design would be used in the present quantitative study and targeted sample for the
study would be 200 managers. The targeted sample size has been decided for two reasons. It
would be beneficial in ensuring high response rate and it would also prove to be beneficial in
maximising the quality of data for deriving substantial information (Harrison and Reilly,
2011). So, this would be beneficial in explaining and addressing the primary research
questions.
After collecting the data, the researcher in order to guarantee readability and completeness
would verify individual questionnaire. This would also be beneficial in ensuring the accuracy
and consistency together with preventing potential errors.
The collected data would then be captured in Statistical Package for Social Sciences (SPSS)
software. Descriptive statistics would be used for testing each individual question and other
statistical tools and techniques would also be used for analysing the collected data (Cooper
and Schindler, 2010).
Correlation coefficient would be used for determining the degree to which two or more
variables are related to each other thereby providing a direction of the considered relationship
(Crowther and Lancaster, 2012).
Multiple regression would be used for specifying whether there exist any significant
relationship between independent variables and dependent variables considered for the study
15 | P a g e
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together with analysing the strength of impact of the independent variables on the dependent
variables (Saunders et al., 2009).
The entire research process can be summarised in the following table:
Research process Approaches considered for the present study
Research design Survey research design
Research method Quantitative research approach
Methods of Data Collection Questionnaire survey method
Data analysis SPSS software and statistical tools and
techniques like descriptive statistics,.
Correlation, multiple regression and ANOVA
Section 5 - Significance
The present research study is entailed the impact of the mobile business intelligence on
organizational managerial decision making procedures. The main motive behind conducting
this research study is that to find out the effectiveness of the technologies (mobiles system) in
business decision making procedures and how it helps the organization to sustain in
competitive market. Moreover, in retail sectors customers purchasing behavior is
dramatically changes, therefore conducting this study would helps the researcher to find out
how mobile BI lets the customers perception real time data to mangers and provide
information to change in trends and information immediately.
The main impact of this study is to help the manager of the organization to analyze the causes
of the resistance or acceptance towards mobile business intelligence. Moreover, the present
study helps the managers of the organization to attract new users with help of the
identification of their needs and wants using mobile BI technology. As the study emphasized
on the benefits of the mobile BI in management decision making process, so it would helps
the management to increased collaboration and assess the organization resources from
anywhere, anytime that aids them to accomplish organization set of objective in successful
manner. Use of the mobile BI technology allows the organizations to stand out among the
competitors and helps them to inverse profits with better customer’s satisfaction.
16 | P a g e
variables (Saunders et al., 2009).
The entire research process can be summarised in the following table:
Research process Approaches considered for the present study
Research design Survey research design
Research method Quantitative research approach
Methods of Data Collection Questionnaire survey method
Data analysis SPSS software and statistical tools and
techniques like descriptive statistics,.
Correlation, multiple regression and ANOVA
Section 5 - Significance
The present research study is entailed the impact of the mobile business intelligence on
organizational managerial decision making procedures. The main motive behind conducting
this research study is that to find out the effectiveness of the technologies (mobiles system) in
business decision making procedures and how it helps the organization to sustain in
competitive market. Moreover, in retail sectors customers purchasing behavior is
dramatically changes, therefore conducting this study would helps the researcher to find out
how mobile BI lets the customers perception real time data to mangers and provide
information to change in trends and information immediately.
The main impact of this study is to help the manager of the organization to analyze the causes
of the resistance or acceptance towards mobile business intelligence. Moreover, the present
study helps the managers of the organization to attract new users with help of the
identification of their needs and wants using mobile BI technology. As the study emphasized
on the benefits of the mobile BI in management decision making process, so it would helps
the management to increased collaboration and assess the organization resources from
anywhere, anytime that aids them to accomplish organization set of objective in successful
manner. Use of the mobile BI technology allows the organizations to stand out among the
competitors and helps them to inverse profits with better customer’s satisfaction.
16 | P a g e
The present study mainly emphasized upon the effectiveness of the integrated of the mobile
system and business intelligence in organization; thus the outcome of this study would
contribute the other researcher to conduct their study in successful manner. The present study
also focused on the Technology acceptance models for mobile services so that in future it
helps the other researcher to find out the main factor that motivate users to accept the
technology at workplace. A finding of the present study not only aids the researcher to
conduct their studies in better manner but also helps the industry and government. Successful
executing of this study finds out the relationship between the organizational managerial
decision making procedures and mobile technologies, which is effectively associated with the
company performance.
Section 6 – Limitations and Delimitations
As per the studies conducted by Saunders et al., (2009), it can be said that every research is
bound to be characterised with some limitations and that is normal. However, the most
important thing is to strive towards minimising the range of scope of limitations throughout
the process of the research and also provide effective acknowledgment of the limitations in an
honest manner. Thus, taking into consideration the present study that has been undertaken by
the researcher to analyse the role and important of Mobile BI in managerial decision making
within organisations - a case study of retail sector in Australia. So, in this context, it can be
said that the first and foremost limitation that can be focused upon is the fact that the
researcher in the present study has limited the scope the study to retail organisations in
Australia. Thus, the findings of the study cannot be implemented or generalised in other
sectors in Australia. On the other hand, it is also the fact that fact that researcher has been
found limiting his study to the geographical boundary i.e. within Australia. So, it can be said
the results of the study cannot be generalised for firms and organisations operating in other
nations. In this context, it can be said that taking into consideration the nature and purpose of
the study, it would not be possible on the part of the researcher to conduct the study covering
the different nations and different business sectors. Moreover, the study being cross sectional
in nature is characterised with time constraint so it would be feasible to cover one sector
within a specific region.
Moreover, it has also been observed that the researcher in the present study has targeted a
sample size of 200 managers. However, it should be taken into consideration that the fact that
managers tend to remain busy in their schedule and thus availability of the managers would
17 | P a g e
system and business intelligence in organization; thus the outcome of this study would
contribute the other researcher to conduct their study in successful manner. The present study
also focused on the Technology acceptance models for mobile services so that in future it
helps the other researcher to find out the main factor that motivate users to accept the
technology at workplace. A finding of the present study not only aids the researcher to
conduct their studies in better manner but also helps the industry and government. Successful
executing of this study finds out the relationship between the organizational managerial
decision making procedures and mobile technologies, which is effectively associated with the
company performance.
Section 6 – Limitations and Delimitations
As per the studies conducted by Saunders et al., (2009), it can be said that every research is
bound to be characterised with some limitations and that is normal. However, the most
important thing is to strive towards minimising the range of scope of limitations throughout
the process of the research and also provide effective acknowledgment of the limitations in an
honest manner. Thus, taking into consideration the present study that has been undertaken by
the researcher to analyse the role and important of Mobile BI in managerial decision making
within organisations - a case study of retail sector in Australia. So, in this context, it can be
said that the first and foremost limitation that can be focused upon is the fact that the
researcher in the present study has limited the scope the study to retail organisations in
Australia. Thus, the findings of the study cannot be implemented or generalised in other
sectors in Australia. On the other hand, it is also the fact that fact that researcher has been
found limiting his study to the geographical boundary i.e. within Australia. So, it can be said
the results of the study cannot be generalised for firms and organisations operating in other
nations. In this context, it can be said that taking into consideration the nature and purpose of
the study, it would not be possible on the part of the researcher to conduct the study covering
the different nations and different business sectors. Moreover, the study being cross sectional
in nature is characterised with time constraint so it would be feasible to cover one sector
within a specific region.
Moreover, it has also been observed that the researcher in the present study has targeted a
sample size of 200 managers. However, it should be taken into consideration that the fact that
managers tend to remain busy in their schedule and thus availability of the managers would
17 | P a g e
be a major concern for the researcher to conduct the survey. Distance and travelling in order
to conduct the survey would be a major limitation that would make the process expensive and
time consuming thereby putting financial and time constraint in front of the researcher.
However, the researcher in order to overcome the limitation time and financial aspect would
strive towards conducting sending and receiving the questionnaire via email. Moreover, the
researcher would also strive towards approaching the organisations where he has some
personal connections or accessibility to easily conduct the process of survey via email.
In addition to the above aspects, it can also be said that mobile technology is becoming
smarter day by day and everyday some or the other features are being introduced that prove
to be beneficial for the beneficial in decision making within the organisation some way or the
other. Thus, it can be said that by time the research would complete the study highlighting the
ways in which Mobile BI assists the managers in making business decisions, some new
features would be introduced capable of making the managerial decision making easy and
efficient that would be left uncovered by the present study. So, in order to overcome the
present limitation, the researcher would emphasise upon taking into considering the
developments that have been introduced in the smart phones and tablets by the end of the
year 2015.
Section 7 – Ethical Issues
Research ethics as per the studies conducted by (Cameron, 2009) has emerged as a
cornerstone in order to conduct effective and meaningful research. The researcher in order to
conduct the study in an efficient manner is bound to abide by the research ethics.
In context to research ethics, it becomes the responsibility of the researcher to protect the
participants involved. Thus, in this context, it is important that the researcher protects the
right and dignity of the participants and maintains a level of trust. So, the researcher in the
present study would strive towards communicating the purpose of the research to the
managers and the participation of the managers in the questionnaire survey would be left
upon their willingness to participate and it would also be communicated clearly that the
participants possess the right to quit the survey at any point of time (Lodico and Spaulding,
2010). It would not be mandatory for the participants to answer all the questions mentioned in
the questionnaire and their response would depend upon their willingness to answer.
18 | P a g e
to conduct the survey would be a major limitation that would make the process expensive and
time consuming thereby putting financial and time constraint in front of the researcher.
However, the researcher in order to overcome the limitation time and financial aspect would
strive towards conducting sending and receiving the questionnaire via email. Moreover, the
researcher would also strive towards approaching the organisations where he has some
personal connections or accessibility to easily conduct the process of survey via email.
In addition to the above aspects, it can also be said that mobile technology is becoming
smarter day by day and everyday some or the other features are being introduced that prove
to be beneficial for the beneficial in decision making within the organisation some way or the
other. Thus, it can be said that by time the research would complete the study highlighting the
ways in which Mobile BI assists the managers in making business decisions, some new
features would be introduced capable of making the managerial decision making easy and
efficient that would be left uncovered by the present study. So, in order to overcome the
present limitation, the researcher would emphasise upon taking into considering the
developments that have been introduced in the smart phones and tablets by the end of the
year 2015.
Section 7 – Ethical Issues
Research ethics as per the studies conducted by (Cameron, 2009) has emerged as a
cornerstone in order to conduct effective and meaningful research. The researcher in order to
conduct the study in an efficient manner is bound to abide by the research ethics.
In context to research ethics, it becomes the responsibility of the researcher to protect the
participants involved. Thus, in this context, it is important that the researcher protects the
right and dignity of the participants and maintains a level of trust. So, the researcher in the
present study would strive towards communicating the purpose of the research to the
managers and the participation of the managers in the questionnaire survey would be left
upon their willingness to participate and it would also be communicated clearly that the
participants possess the right to quit the survey at any point of time (Lodico and Spaulding,
2010). It would not be mandatory for the participants to answer all the questions mentioned in
the questionnaire and their response would depend upon their willingness to answer.
18 | P a g e
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The researcher in order to conduct the study in an ethical manner would strive towards
communicating the exact purpose and nature of the study to the participants on a prior basis.
This would prove to be beneficial in providing a clear idea of the research to the participants
and they can answer the questions in an efficient manner.
The researcher in the present study would also emphasise upon maintaining the anonymity of
the participants and thus would request the managers i.e. the participants not to mention their
names anywhere in the questionnaire. Moreover, in this process, utmost care would be taken
by the researcher to maintain the confidentiality of the collected data and thus it would be
stored in a password protected system with limited accessibility.
On the other hand, while interpreting the facts from the collected data i.e. the response of the
managers, the researcher would take utmost care to refrain from adopting and practising
manipulation of the collected data in any form (Bryman, 2006). Thus, it would be presented
in a manner that is in perfect alignment with actual response of the managers. Thus the
researcher would be involved in simply analysing the data and interpreting the facts and
findings.
The researcher in order to maintain the research ethics would also emphasise upon using the
data collected only for academic purpose and would not use the collected data for any
commercial purpose. The collected data would also not be provided to any other party
without the consent of the managers (Lancaster, 2012).
Moreover, the researcher in order to ensure the research ethics would efficiently acknowledge
the work of others by efficiently in text referencing and end text referencing.
19 | P a g e
communicating the exact purpose and nature of the study to the participants on a prior basis.
This would prove to be beneficial in providing a clear idea of the research to the participants
and they can answer the questions in an efficient manner.
The researcher in the present study would also emphasise upon maintaining the anonymity of
the participants and thus would request the managers i.e. the participants not to mention their
names anywhere in the questionnaire. Moreover, in this process, utmost care would be taken
by the researcher to maintain the confidentiality of the collected data and thus it would be
stored in a password protected system with limited accessibility.
On the other hand, while interpreting the facts from the collected data i.e. the response of the
managers, the researcher would take utmost care to refrain from adopting and practising
manipulation of the collected data in any form (Bryman, 2006). Thus, it would be presented
in a manner that is in perfect alignment with actual response of the managers. Thus the
researcher would be involved in simply analysing the data and interpreting the facts and
findings.
The researcher in order to maintain the research ethics would also emphasise upon using the
data collected only for academic purpose and would not use the collected data for any
commercial purpose. The collected data would also not be provided to any other party
without the consent of the managers (Lancaster, 2012).
Moreover, the researcher in order to ensure the research ethics would efficiently acknowledge
the work of others by efficiently in text referencing and end text referencing.
19 | P a g e
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Bensberg, F. (2008). Mobile Business Intelligence. Erfolgsfaktoren des Mobile Marketing,
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Ben-Zvi, T. (2012). Measuring the perceived e_ectiveness of decision support systems and
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their impact on performance. Decision Support Systems, 54 (1),248-256.
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Approaches. 5th ed. Plymouth: Alta Mira Press.
Brodzinski, J. D., Crable, E., Ariyachandra, T., & Frolick, M. (2013). Mobile business
intelligence. International Journal of Business Intelligence Research,4 (2).
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intelligence. International Journal of Business Intelligence Research (IJBIR), 4(2), 54-66.
Bryman, A. (2006). “Integrating quantitative and qualitative research: how is it done?”
Qualitative Research, 6(1), pp. 97-113.
Cameron, R. (2009). 'A sequential mixed model research design: design, analytical and
display issues', International Journal of Multiple Research Approaches, 3(2), 140-152
Cella, I., Golfarelli M., & Rizzi S. (2004). Beyond data warehousing: What’s next in business
intelligence? doi:10.1.1.62.9350
Chaudhuri, S., Dayal, U. & Narasayya, V. (2011). An Overview of Business Intelligence
Technology. Communications Of The ACM, 54(8), 88-98.
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technology. Communications of the ACM,54(8), 88-98.
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technology. Communications of the ACM,54(8), 88-98.
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big data to big impact. MIS quarterly, 36(4).
Cooper, D. and Schindler, P. S. (2010) Business Research Methods, 11th ed. London:
McGra-Hill.
Crowther, D. and Lancaster, G. (2012). Research Methods, 2nd ed. London: Routledge.
Davenport, T. H. (2012). Business intelligence and organizational decisions. Organizational
Applications of Business Intelligence Management: Emerging Trends: Emerging Trends, 1.
Elbashir, M.Z., Collier, P.A. & Davern, M.J. (2008). Measuring the effects of business
intelligence systems: the relationship between business process and organizational
performance. International Journal of Accounting Information Systems, 9(3), 135-153.
Green, J., Rutherford, S. & Turner, T. (2009). Best practice in using business intelligence to
determine research strategy. Perspectives: Policy and Practice in Higher Education, 13(2), 48-
55.
Hair, J. F. and Money, A. H. (2011). Essentials of Business Research Methods, 2nd ed. New
York: M. E. Sharpe. Inc.
Harrison, R. L. and Reilly, T. M. (2011). "Mixed methods designs in marketing research",
Qualitative Market Research: an International Journal, 14(1), pp. 7 – 26.
Hedgebeth, D. (2010). Data-driven decision making for the enterprise: an overview of
business intelligence applications. Vine, 37(4), 414-420.
Lahrmann, G., Marx, F., Winter, R., & Wortmann, F. (2011). Business Intelligence Maturity:
Development and Evaluation of a Theoretical Model. 2011 44th Hawaii International
Conference on System Sciences, 1-10.
Lancaster, G. (2012). Research Methods in Management, 4th ed. Oxford: Elsevier.
Lodico, M. G. and Spaulding, D. T. (2010). Methods in Educational Research: From Theory
to Practice, Page 24, 2nd ed. San Francisco: Jossey-Bass.
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implications of combining qualitative and quantitative methods”, Journal of Mixed Methods
Research, 1(1), pp. 48-76.
Sabherwal, R., & Becerra-Fernandez, I. (2011). Business intelligence: Practices,
technologies, and management. John Wiley & Sons.
Sahay, B. S., & Ranjan, J. (2008). Real time business intelligence in supply chain
analytics. Information Management & Computer Security, 16(1), 28-48.
Saunders, M. N., Lewis, P. and Thornhill, A. (2009) Research methods for business students,
Page 52, 5th ed. Harlow: Prentice Hall
Solomon Negash, P. G. (2008). Handbook on Decision Support Systems Springer Berlin
Heidelberg
VanderStoep, S. W. and Johnson, D. D. (2009). Research Methods for Everyday Life:
Blending Qualitative and Approaches. 4th ed. San Francisco: Jossey-Bass.
Vercellis, C. (2011). Business intelligence: data mining and optimization for decision
making. John Wiley & Sons.
Yeoh, W., & Koronios, A. (2010). Critical success factors for business intelligence systems.
Journal of computer information systems, 50(3), 23-32.
22 | P a g e
Appendix 1: Reflection Report
The entire assignment was a learning experience on my part where I gained wide range of
knowledge theoretically and practically. Moreover, the entire assignment was beneficial on
my part to enhance my skills thereby making significant contribution towards my personal
development.
While conducting the study, i was involved in the process of deciding upon the topic that
need be researched for. So, the process involved extensive research to analyse the available
literature and then formulate a research topic to be investigated. Moreover, during the course
of the assignment, I had to communicate efficiently with my mentors and classmates to
discuss about the research topic and the process to be adopted. So, this proved to be
beneficial on my part in enhancing my communication skills and interpersonal skills and
relationship building skills.
On the other hand, the assignment was based upon analysing the role of Mobile BI on
managerial decision making within the business organisation. So, it proved to be beneficial in
enhancing my knowledge in context to Mobile BI technology and decision making in
business organisation together with the ways in which proposal is written and research is
conducted, research ethics and data analysis and data collection and research methodology
thereby contributing a lot to my existing knowledge.
Moreover, I would like to emphasise upon the fact that the assignment enhanced my learning
in context to conducting a research and preparing a proposal for the research that would
prove to be beneficial in my professional career where I might be assigned the responsibility
of conducting a research. So, the study has proved to be beneficial in my academic, personal
and professional development.
23 | P a g e
The entire assignment was a learning experience on my part where I gained wide range of
knowledge theoretically and practically. Moreover, the entire assignment was beneficial on
my part to enhance my skills thereby making significant contribution towards my personal
development.
While conducting the study, i was involved in the process of deciding upon the topic that
need be researched for. So, the process involved extensive research to analyse the available
literature and then formulate a research topic to be investigated. Moreover, during the course
of the assignment, I had to communicate efficiently with my mentors and classmates to
discuss about the research topic and the process to be adopted. So, this proved to be
beneficial on my part in enhancing my communication skills and interpersonal skills and
relationship building skills.
On the other hand, the assignment was based upon analysing the role of Mobile BI on
managerial decision making within the business organisation. So, it proved to be beneficial in
enhancing my knowledge in context to Mobile BI technology and decision making in
business organisation together with the ways in which proposal is written and research is
conducted, research ethics and data analysis and data collection and research methodology
thereby contributing a lot to my existing knowledge.
Moreover, I would like to emphasise upon the fact that the assignment enhanced my learning
in context to conducting a research and preparing a proposal for the research that would
prove to be beneficial in my professional career where I might be assigned the responsibility
of conducting a research. So, the study has proved to be beneficial in my academic, personal
and professional development.
23 | P a g e
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