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Case Study of Retail Organisations in Australia

   

Added on  2020-03-16

24 Pages7724 Words36 Views
Professional DevelopmentData Science and Big DataStatistics and ProbabilityMobile Development
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Analysing the Role of Mobile BI on Managerial Decision Making – A Case Study of Retail Organisations in Australia
Case Study of Retail Organisations in Australia_1

Table of ContentsAbstract.................................................................................................................................................2Introduction and Background................................................................................................................4Statement of the purpose.................................................................................................................5Scope of the report............................................................................................................................6Section 1 – Research Question..............................................................................................................6Section 2 – Conceptual Framework.......................................................................................................8Hypothesis.......................................................................................................................................12Section 3 - Literature Review..............................................................................................................13Section 4 – Methods............................................................................................................................15Section 5 - Significance.......................................................................................................................17Section 6 – Limitations and Delimitations...........................................................................................18Section 7 – Ethical Issues....................................................................................................................19References...........................................................................................................................................21Appendix 1: Reflection Report............................................................................................................241 | Page
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AbstractThe present study aims at examining the impact of Mobile BI on managerial decision makingin retail organisation in Australia. The research questions designed are:General Research QuestionsWhat is the impact of Mobile BI on managerial decision making in the retail sector inAustralia?Specific research QuestionsWhat are the factors that influence Mobile BI usages in the managerial decisionmaking process?What is the impact of Mobile BI on the behavior of the managers while makingbusiness decisions?What is the impact of managerial decisions taken with the help of Mobile BI on theperformance of the organisation?Thus, the researcher in order to achieve the objectives of the study has clearly divided theentire report in different sections where each section focuses upon a particular aspect of theresearch studies. The different aspects include the introduction where the researcher hasprovided research background, purpose of the report and the scope of the report. In thefollowing section, research questions have been formulated drawing inferences from theresearch purpose and it is followed by the conceptual framework that provides a clear pictureof the ways in which different constructs of the present study are related to each other. Thenext section is the literature review that provides the base of the study and it has beendesigned in a manner that provides a logical structure to the research questions andconceptual framework. Then comes the research methodology, the most important section ofthe study. In this section the researcher has clearly mentioned the detailed methodology thatwould be beneficial in conducting the study in an efficient manner. The research has adoptedquantitative research approach and survey method that would be conducted with the help ofthe 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 andtechniques like correlation, regression and ANOVA. The report provides a clear description2 | Page
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and detailed information in context to the research limitations and the ways in which theresearcher would strive towards maintaining the ethics of the research. Introduction and Background As study conducted by theChaudhuri, Dayal, & Narasayya, (2011), said that in present year,information has become most significant assets for the business to treasure. Each year severalorganizations spend huge money to maintain the enterprise system that manage process anddeliver information to management in decision making process. The fundament benefits ofusing enterprises software and system at workplace is to manage information and to permitorganization to supervise, organize and operate organization function on the basis of accuracyas well as complete business knowledge. According to theElbashir, Collier, & Davern, (2008), Business intelligence is rigorousprocedures of sharing data into organization’s function and then into actionable acquaintance.The collected information from several sources in the organization is transformed andconverted into data and then knowledge through analysis and processing. The outcomeknowledge offers the foundation for organization in strategic decision making procedures. Green, Rutherford, & Turner, (2009), said that increase in the availability and accessibilityand enhanced performance of portable devices such as mobile and smart phones systemfacilities flexibility of on information collection and evaluation, consequently extending BI toSmartphone devices. As studies conducted by theSolomon Negash, (2008), said that mobileBI is the system that helps the management to accelerate, assist and ease of decision makingprocess through the data delivered by the system. As per the data published by the statista, (2017), it is seen that total number of the mobilephone users in worldwide is increased from 2013 to 2017. In the year of 2013 4.01 billionsusers are using mobile devices whereas in the year of 2017 the numbers of the mobile phoneusers are reaching to 5.07 billion; that signifies that growth of the adoption of mobile devicesis increasing fast manner. Illustrated figure 1.1; shows that significant of the mobile devices in context to theorganization size. Figure 1.1; further corroborate the developing trend between the largerorganization and smaller organizations with respect to significant of mobile businessintelligence as opposed to midsize business. 3 | Page
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Figure 1Importance of Mobile business intelligence by organization sizeSource [www.microstrategy.com] From the above figure it is noted that smaller organization tend to more agile as well as morereadily integrate with the new information technologies into their organization operationswhereas the larger organizations tends to have more assets available to address emerging andnew technologies. Statement of the purpose The present study has been envisioned to investigative the impact of the Mobile Businessintelligence for organization managerial decision making process. Drawing on the richliterature of managerial decision making procedures, Business intelligence and mobilecomputing and application on organization performance, this study future bring forwarddiscussions on impact of mobile technology to managerial decision making process. In thissection follow, scope of the research of this study is to be discussed. 4 | Page
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Scope of the report The present study is targeted only organization workers occupying managerial position inretail sectors in Australia. The respondents of the study were comprised only of experienceconsumers and users of BI on their portable devices such as tablets and mobile phones. Thepresent study mainly empathized on the managerial usage behavior of mobile businessintelligence. Managers of the organization were asked to analyze and evaluate their currentutilizes of mobile business intelligence together with a prediction of upcoming utilizes ofmobile business intelligence i.e. BI related with their employment task. The encouragement behind delineating scope in such manner (i.e. by only asking questionswithin the managers who utilizes the mobile business intelligence and not all the othermanagers of the organization) is that, this stringent inclusion criterion improved thecorrectness and emphasized of the study. This would help the possibility to generalize theresult back to the managerial population not only the Australia but also the entire nations. Section 1 – Research QuestionThe studies conducted by Antoniou et al., (2012) has revealed that it is not longer viable tomake business decisions on the basis of intuition in the modern interconnected informationeconomy that was a general trend in the earlier days. However, advancements in technologyhave led to the development of information era where the business organisations arefacilitated with wide range of tools to support the decision makers. So, this has proved to bebeneficial in meeting the unprecedented demand for consolidating data from various sourcesfor efficiently analysing and understanding the business information and predicting thechange. Azvine et al., (2009) advocated the need for Business Intelligence (BI) solutions that arecapable of providing agility, capability to asses and reinventing and adjusting theorganisational changes. So, in this context, it has been proposed by Ben-Zvi, (2012) thatMobile Business Intelligence in the recent times has emerged as a form of technology that iscapable of delivering the demanded solutions to the business organisations mainly because ofits real time characteristics. Thus, it can be said that the advent of the mobile devices thatinclude the smart phones and tablets together with the advent of better and enhancedtelecommunication systems and easy availability of the cheaper connectivity rates has5 | Page
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