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Big data in organizations Research 2022

   

Added on  2022-10-09

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Running head: MANAGEMENT
Big data in organizations
Name of the student:
Name of the university:
Author note:
Big data in organizations Research 2022_1

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MANAGEMENT
Table of contents
Introduction................................................................................................................................2
Topic selection.......................................................................................................................2
Justification for the development of research questions........................................................2
Methodology..............................................................................................................................3
Quantitative-qualitative debate..............................................................................................3
Hypothesis..............................................................................................................................3
Additional secondary data......................................................................................................3
Proposed primary data sample size........................................................................................4
Primary data sampling approach............................................................................................4
Questionnaire design factors..................................................................................................4
Summary of the findings............................................................................................................6
Expectations.........................................................................................................................10
Conclusion................................................................................................................................11
References................................................................................................................................13
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Introduction
Topic selection
In the current business scenario, big data is an effective option for achieving radical
transformation of the operations. As a matter of specification, the topic has been selected for
assessing the role of information technology on the efficient execution of the operations.
Technological intervention is accounted as a primary source for achieving economic growth
(Fan, Lau and Zhao 2015). Businesses have adopted continuous improvement strategies for
thinking innovative solutions to improve the standards and quality of the processes. Digital
platforms have assisted the businesses to enhance the efficiency with the activities of
accumulating, processing and utilization of bulk data.
Big data has assisted the companies and organizations to digitalize the operations.
This approach is effective in terms of competing with the contemporary brands in the
achievement of customer satisfaction through the provision of quality products and services.
Systematic approach in this context is beneficial in terms of attaining higher competitive
advantage over the contemporaries (Loebbecke and Picot 2015). One of the other reasons for
selection of the topic of Big Data is to speculate the parameter of governance through the
means of incorporating the relevant regulatory mechanisms.
Justification for the development of research questions
Research questions help the researcher to excavate different parameters related to the
subject matter. In the current context, the researcher has considered the parameters of
application benefits, disadvantage and future implications for shaping the effective of Big
Data in the workplace conditions and issues. These parameters work up collaboratively to
enhance the organizational effectiveness. The researcher has developed the research
questions bearing in mind these parameters and their importance in the improving the
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organizational attractiveness (Shannon-Baker 2016). Moreover, it can also be said that these
questions are assistance for the researcher to develop crucial linkages between the variables.
Methodology
Quantitative-qualitative debate
For conducting this research, both quantitative and qualitative means of data
collection would be used. In case of quantitative data collection methods, survey would be
conducted on 50 employees, who are working full time in reputed companies and
organizations. On the other hand, in the qualitative method, 3 managers would be interviewed
on the steps taken for implementing Big Data in the workplace. Apart from this, Edmonds
and Kennedy (2016) is of the view that relevant themes would be developed for analysing the
impact of Big Data application on the productivity of the companies and organizations.
Hypothesis
H0- Big Data does not have any impact on the enhancement of the organizational
attractiveness
H1- Big Data creates heavy impact on the enhancement of the organizational attractiveness
Conceptual framework is one of the agents used by the researcher for adding an
interrogative parameter to the subject matter. This relation is assistance in terms of
excavating the positive and the negative aspects related to the implementation of Big Data
Analytics in the organizations.
Additional secondary data
In addition to the surveys and interviews, thematic analysis would be conducted for
mapping the impact of the Big Data on the business processes. In this context, mention can be
made of the consideration of charts, tables, graphs and statistical data for gaining an insight
into the extent to which Big data has influenced the operations of the organization
(Archibald, 2016). This tools would be assistance for the researcher to attain justification for
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