Business Research: Exploring Open Data's Impact on Innovation Report

This report investigates the influence of open data on business operations and innovation. It begins with an introduction highlighting the challenges businesses face in the current market and the role of open data in fostering innovation and competitive advantage. The report's objectives include analyzing the meaning and concept of open data and business innovation, exploring the challenges of open data practices, and recommending strategies for improvement. The scope encompasses understanding the role of open data in business innovation. A literature review summarizes the importance of innovation for business growth and how organizations use open data to develop innovative goods and services. The research questions address the meaning of open data and business innovation, the challenges, and improvement strategies. The methodology includes both qualitative and quantitative research approaches, detailing the research process, sampling, data collection, and analysis methods. The report also acknowledges research limitations, such as resource constraints and time limitations. A time plan is provided, and the conclusion summarizes the importance of open data for innovation, competitive benefits, and fulfilling market gaps. The report is comprehensive, including tables, charts, and appendices.

Running Head: BUSINESS RESEARCH
BUSINESS RESEARCH

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Table of Contents
Introduction................................................................................................................................2
Project objective.....................................................................................................................2
Project scope...........................................................................................................................2
Summary of literature review.....................................................................................................3
Research questions and hypothesis........................................................................................4
Research Design and Methodology........................................................................................5
Qualitative research................................................................................................................5
Quantitative research..............................................................................................................6
Research Time plan....................................................................................................................9
Conclusion..................................................................................................................................9
References................................................................................................................................11
Appendix..................................................................................................................................14
Appendixes...............................................................................................................................15

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Introduction
In the current business scenario, companies struggle many issues to generate competitive
benefit with respect to enhance the growth of business in future. Organizations are facing
higher competition in local as well as international market caused by the digitalization and
globalization. In rapidly changing industries, organizations are dependent on the innovative
approach to create and keep their competitive benefits (Gretzel, et al., 2015). In the current
business period, the organization uses innovative techniques for managing higher competitive
benefits. Open data could consider as the government information and machine-readable data
which could be available for everyone as it would be imperative for managing the consumers
at international level. In the business period, organizations and individuals depend on the
open data because it offers a new technique for innovation in the business (Ojo, et al., 2015).
This report concentrates on the open data and evaluations and how it will be executed in the
companies. This report discusses how business could be innovative by applying the open
data. Moreover, different recommendations would be presented in the report for businesses to
execute the open data for promoting business innovation.
Project objective
The main aim of this research is to address the impact of open data on the business operation.
The following objectives will be used by the researcher to attain the specified aim of
research:
 To analyze the meaning and concept of open data and business innovation
 To explore the challenges of open data practices in the business innovation
 To recommend strategies for improving the open data practices in the business
innovation

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Project scope
The major scope of this research is to gain the understanding about the role of open data in
the business innovation. This project supports to examine different kinds of literature in with
respect to make innovation in the business by using the open data. It enables the organization
to gain their understanding of business innovation that assist them in addressing the market
gaps and developing new goods and services to create competitive benefits. The researcher
also gain their best understanding about business innovation and open data caused of using
many academic journals for completing their research.
Summary of literature review
The innovation could play an imperative role in the business growth. The innovation role is
growing among companies for getting the higher competitive benefit. Moreover,
organizations use strategic policies for enchasing the innovation level in the organization and
gain efficiency as it would support the organization to get the competitive benefit. In
addition, it is also analyzed that different organizations use open data with respect to develop
innovative goods and services, which could support to fill the gap and creates income and
obtain economic, social, and environmental advantages (Jung and Park 2015). It can also be
summarized that open data could be information that could freely accessible by the public
without any restricts of copyrights and patents. It is also evaluated that open data is growing
that enhance in intellectual property rights. It is also analyzed that the application of open
data is enchased caused by enhancement of internet and online based services. The launch of
different open data government initiatives considers Data. gov, Data. gov. in the open data as
it would be supportive to increase the popularity of open data (Davies and Perini, 2016). For
illustration Barack Obama on oath as the president of us on January 2009 and he used
memorandum transparency and open government that concentrates on approving the
government data transparency. In addition, it is also analyzed that these initiatives supported

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open data for the use of public and organization as it would supported to promote the
business innovation. Open data could assist in creating the $3.2 trillion to $5.4 trillion in the
value of economic (Lee, et al., 2015). Many organizations use open data culture by opening
their information for the general public as it would support to make transparent relationship
among consumers and organization. Consequently, the organization would be capable to
obtain higher competitive benefits. For illustration, BBC launched a programme in 2014
called BBC things that offer the opportunity to everyone for accessing the information of
organization (Hossain, 2015). As a result, company obtain higher competitive befits. This
software encouraged developers to execute the BBC software by applying the semantic and
linked data that facilitates consumer to develop combine of application with different open
data sources. It is also evaluated the BBC programme was successful in offering possible of
the open data technique. It is also found that approximately 84% of US people use mobile
software that dependent on the open data that endorse for business innovation. The
advancement of technique could support the organization collecting, share, and manage the
open data. It aids organization to fuelling the business innovation as it would support to
overcome issues of business in least time and cost (Zuiderwijk, et al., 2015). In addition, it is
also analysed that there are many organizations that have already used open government data
with respect to enhance business innovation and change in needs and demands of consumers.
It is also illustrated that Starbucks has collaborated with Esri that is geospatial knowledge
firm with respect to create the business intelligence structure called Atlas. It is also evaluated
that the structure is based on government data and the organization use it to create highly
cultured consumers promoting policies (Susha, et al., 2015). Starbucks imply demographic
information that is gathered from the smartphones number with respect to identify which
mobile software discount could more impactful. Thus, it is also illustrated that organisation
could imply the technique that could be more effective for Frappuccino promotions.

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Research questions and hypothesis
 What is the meaning and concept of business innovation and open data?
 What are the challenges of open data in the business innovation?
 What are the strategies to improve the open data practices in the business innovation?
Research Design and Methodology
The research design provides appropriate instruction to complete their research. The research
methodology could involve many techniques that support to obtain feasible information about
current research concern.
Qualitative research
Chart 1: Qualitative research process
(Sources: Taylor, et al., 2015).
The qualitative research involves many stages in the research like discovering research
concern, make planning, evaluate criteria for recruitment, discussion rules, and regulation,
and make a final report by using focus strategy. These steps could support to effectively
operate research process and obtain a feasible outcome. Initially, researchers discover the
idea of research matter and make an appropriate plan (Taylor, et al., 2015). After the
completion of the first step, a researcher could evaluate the criteria for recruitment and

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selection of workforces. Subsequently, the researcher has made discussion guide and
homework about the design of research aim and objectives. In last, a researcher could
determine their focus group for making a final report (Mackey and Gass, 2015).
Approaches to reliability and Validity
The inductive approach is more appropriate as compared to deductive approach because it
facilitates the researcher to collect theoretical understanding towards the current research
matter. The inductive approach will also facilitate the research scholar to get a reliable and
valid result in the context of current research matter (Lewis, 2015).
Sampling and Sample Size
Sampling is a technique that enables the researcher to select appropriate sample size for
performing their research (Vaioleti, 2016). In addition, the researcher has practiced non-
probability sampling method that facilitates the researcher to select candidates on the basis of
age, gender, sex, education, race, and experience. The investigator has selected 5 IT manager
of different organization for collecting their opinion and views towards the business
innovation through open data.
Data Collection Method
For this study, the researcher has used primary data collection method. It will be effective to
collect the feasible information with respect to current research matter. The primary
information could be fathered by interview and survey through questionnaire method (Smith,
2015). Through this method, reliable and a valid data will be obtained by the research
scholar.
Variables Specifications
In the research study, two kinds of valuables are considered like independent and dependent
variables. For this research issue, the researcher has identified two variables like business

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innovation and open data where the independent variables open data while dependent
variable ids business innovation (Alvesson and Sköldberg, 2017).
Quantitative research
Chart 2: Quantitative research process
(Sources: Alvesson and Sköldberg, 2017)
Primarily, the researcher would try to identify the problem and purpose of the research for
operating the business process. Afterward, the researcher would make hypothesis and
research question in the context of research matter. The researcher has developed a
conceptual framework by considering various non-numerical sources like a book, journals,
magazines, and online & offline sources (Dudovskiy, 2016). Later, research design and
sampling method will be selected by the researcher to operate the research process.
Moreover, ethical norms could also be imperative to conduct appropriate behavior in research
as it would facilitate to collect appropriate research outcome. Besides this, data collection,
data analysis, discussion, and budgeting could be imperative for operating the business and
obtain the reliable result (Alvesson and Sköldberg, 2017).

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Research Instrument
The researcher has used the secondary data collection method to gain the theoretical
knowledge towards the current research matter. There are different sources that could be
entailed by the researcher like academic journal, annual report, government publication,
online websites, and magazines. This technique would be imperative for the researcher to get
quality research outcome (McCusker and Gunaydin, 2015).
Quantitative Data Analysis Process
Chart 3: Quantitative data analysis process
(Sources: Dumay and Cai, 2015).
Initially, the researcher would prepare data for operating the research activity and attain their
aim. Afterward, the researcher has capable to clean the information as per requirement. In
this, Ms-excel software will be practiced by the researcher by considering graphs, table, and
charts. In last, this method enables the researcher to interoperate collected information and
recommend for improving the whole research (Dumay and Cai, 2015).
Sampling and Sample Size
The probability sampling method could be imperative for selecting candidates on a random
basis. It would support to eliminate the biased result from the research (Lushey and Munro,
2015). For operating the research process, the researcher has selected 60 employees of IT

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organization and operate their research process for collecting opinion towards the research
questionnaire.
Reliability and Validity of Data
In the research study, the reliability of data demonstrates the trustworthiness of study.
Moreover, validity is used to examine the feasibility of study as it would be evaluated by
considering quantitative data (Marczyk, et al., 2017).
Research limitation
There are certain elements that would negatively impact on the quality of research outcomes
like lack of resources, targeted time, and targeted cost. It can also be stated that lack of
resources could mandate the investigator to complete their research in an available resource
that could influence the quality of research outcome (Khaki, 2016). In addition, the primary
data collection method could take the time that could also negatively impact on the research.
In last, the secondary data collection method could be costly that would decline the
possibility of getting quality research outcome (Azhdarzadeh, et al., 2015).
Research Time plan
The research time frame will also be used by the researcher to determine the appropriate time
for each research activity completion as it would be discussed by following Gantt chat:

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Conclusion
With respect to the above discussion, it can be summarized that open data is practiced by the
organization to create innovation in the business. It could also be imperative to fulfill the gaps
in the consumer market and make innovative policies as it would be imperative for getting
the higher competitive benefit. The open data movement is led by the initiative of the
government to make open government and enhance availability for the general public. It can
also be summarized that open data could also be a negative impact on the enhancement of
cyber risk, data culture promotion, and national risk.

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References
Gretzel, U., Sigala, M., Xiang, Z. and Koo, C., 2015. Smart tourism: foundations and
developments. Electronic Markets, 25(3), pp.179-188.
Jung, K. and Park, H.W., 2015. A semantic (triz) network analysis of South Korea's “open
public data” policy. Government Information Quarterly, 32(3), pp.353-358.
Davies, T. and Perini, F., 2016. Researching the emerging impacts of open data: revisiting the
ODDC conceptual framework. The Journal of Community Informatics, 12(2).
Lee, M., Almirall, E. and Wareham, J., 2015. Open data and civic apps: first-generation
failures, second-generation improvements. Communications of the ACM, 59(1), pp.82-89.
Hossain, M., 2015. A review of literature on open innovation in small and medium-sized
enterprises. Journal of Global Entrepreneurship Research, 5(1), p.6.
Zuiderwijk, A., Janssen, M., and Dwivedi, Y.K., 2015. Acceptance and use predictors of
open data technologies: Drawing upon the unified theory of acceptance and use of
technology. Government Information Quarterly, 32(4), pp.429-440.
Susha, I., Grönlund, Å. and Janssen, M., 2015. Organizational measures to stimulate user
engagement with open data. Transforming Government: People, Process, and Policy, 9(2),
pp.181-206.
Taylor, S.J., Bogdan, R. and DeVault, M., 2015. Introduction to qualitative research
methods: A guidebook and resource. John Wiley & Sons.
Mackey, A. and Gass, S.M., 2015. Second language research: Methodology and design.
Routledge.
Lewis, S., 2015. Qualitative inquiry and research design: Choosing among five
approaches. Health promotion practice, 16(4), pp.473-475.
Vaioleti, T.M., 2016. Talanoa research methodology: A developing position on Pacific
research. Waikato Journal of Education, 12(1).

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Smith, J.A. ed., 2015. Qualitative psychology: A practical guide to research methods. Sage.
Alvesson, M. and Sköldberg, K., 2017. Reflexive methodology: New vistas for qualitative
research. Sage.
Alvesson, M. and Sköldberg, K., 2017. Reflexive methodology: New vistas for qualitative
research. Sage.
McCusker, K. and Gunaydin, S., 2015. Research using qualitative, quantitative or mixed
methods and choice based on the research. Perfusion, 30(7), pp.537-542.
Dumay, J. and Cai, L., 2015. Using content analysis as a research methodology for
investigating intellectual capital disclosure: a critique. Journal of Intellectual Capital, 16(1),
pp.121-155.
Lushey, C.J., and Munro, E.R., 2015. Participatory peer research methodology: An effective
method for obtaining young people’s perspectives on transitions from care to
adulthood?. Qualitative Social Work, 14(4), pp.522-537.
Marczyk, G., DeMatteo, D., and Festinger, D., 2017. Essentials of research design and
methodology. John Wiley.
Azhdarzadeh, M., Saei, A.A., Sharifi, S., Hajipour, M.J., Alkilany, A.M., Sharifzadeh, M.,
Ramazani, F., Laurent, S., Mashaghi, A. and Mahmoud, M., 2015. Nanotoxicology: advances
and pitfalls in research methodology. Nanomedicine, 10(18), pp.2931-2952.
Khaki, G.R., 2016. Research methodology with an approach to the dissertation. published by
Enakas, Tehran, Ss288-299.

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Ojo, A., Curry, E. and Zeleti, F.A., 2015, January. A tale of open data innovations in five
smart cities. In System Sciences (HICSS), 2015 48th Hawaii International Conference on (pp.
2326-2335). IEEE.
Dudovskiy, J., 2016. Research methodology. Retrieved February, 5, p.2017.

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Appendix
Research time frame
Research Activities Estimated time for research deeds completion
1 2 3 4 5 6 7 8 9
1
0
1
1
1
2
1
3
1
4
15
research issue development
research objective/aim/hypothesis
design
data collection method selection
Questionnaire Design
sample size and sampling method
design
data analysis method selection
Final draft
Report submission