Use Of Big Data In A Business Organization: Research Proposal

Research Objectives

Write a Research Proposal on Use of Big Data in a Business Organization.

This research proposal aims at examining application of big data in business organizations around global community. For the extended time, Big Data in every business operations has remained to be the term that encompasses applications of various techniques to capture, process, analyze, as well as visualize potentially massive sets of data in the reasonable timeframe that is not accessible (Sizov, 2016). Techniques of big data have been vital in the complementing business intelligence devices that are essential in unlocking value from enterprise information. Whereas business aim at performing structural analysis and provision of a rearview mirror into performance of business, big data analytics offers the forward-looking view that enables business organizations to anticipate and execute on different opportunities of future operations. Big data has brought about revolution together with dictated paradigm shift in operational strategies of different business organizations globally (Sherman, 2014). Despite its significance, little survey exists on implications of utilization of analytics of immense data for different purposes of business intelligence. This research proposal aims at filling this gap in knowledge through examination of role along with implication of Big Data analytics on operations of different business organizations. It is evident that explosion of Big Data in the system that deals with information seem to shift how business organizations use their business knowledge. Subsequently, consolidating organized with unstructured information to be prepared and offer the best procedure of choosing prescient and prescriptive explanatory perspective (Korhonen, 2014). Business association has tendency to sort out more mind boggling information calculation and additionally strategy from information warehousing, mining of information, representation, forecast, and soon what people think will be the impact caused by big data in the business organization.

In most cases, techniques of big data applicable in operations of different business organizations are not just about the size, but it also comprises of data variety as well as data velocity. All these factors make big data to remain as a leading concept in global business society. It is necessary during the study to illustrate how big data associates with operations of a business organization and how they portray operations of different corporations. The outcomes of this research work might be of essential value as it can help in the provision of vital steps on how to use big data by the different management of organizations to become competitive in global business society (Borst, 2017).  The purpose of this work is to undertake the complete research proposal in the field of information technology and examine application of big data in organization so that they can increase their operations with advancement in technology in current society. The research proposal is centered on how usage of large data affects every kind of business organizations. Besides, the organization of this work is as follows; the introduction section, problem statement, research objectives, followed by justification of the proposed proposal, and the expected results that are essential in the survey (Zook et al., 2017). The other section that is vital in this study is research methodology that will help in outlining how the objectives of the study can be attained effectively.

Research Questions

The overall target of this project is mostly to examine application of large data in organization. The study aim at exploring some influences that use of big data have on operations of business organizations and the resultant impact on the overall performance of the organization.

More particularly, this investigation targets at answering the following survey questions;

Primary question

1. How does the use of big data affect the operations of business organization?

Secondary questions

1. What are some of the most potential applications and opportunities of analytic of big data in creating systematic supply marketplace intelligence within business organizations?
2. How can use of big data be categorized and what are the data sources in the context of business organization?
3. How has the use of big data reshaped the domains of business organizations?

These vital research questions will ultimately assist in answering the primary objective of the project. They will be essential in revealing the underlying rationale for different business organizations to either allow or disallow the use of big data in their daily operations (Vayena et al., 2018). Therefore, answers from these research inquiries will become e essential in the provision of the appropriate options or schemes that any business organization can follow in turn to survive by application of massive data in the current corporate community affected by advancement in information technology.

The research follows the results of different scholars on use of I data in operations of business organization. It is evident that, despite several surveyors, it is still somewhat desperate to make direct connection amid usage of massive data in organizations along with its effects on productivity (Colombo & Ferrari, 2015). Therefore, this survey wants to fill gap that exist through the examination if utilization of big information in business organizations affects their operations. This survey is conducted in various society that basically conduct different businesses with the aim of helping in improving the investigation of different reasons as to why organizations are utilizing big data during their services as well as more vitaly how it affects their actions.

The use of big data to support operations of business organization has become the debatable issue. Some surveys claim that the application of big data in business organization leads to better performance in services as it affects intermediate variables such as techniques used for production. Other studies argue that application of big data in business organization causes several distractions in their operations and loss of productivity among stakeholders such as employees. Satalof (2016) found that application of big data in business organization offers them operational support by the use of advanced technology that boosts their production, organizational commitment, innovative traits, and performance of operations. Whereas, the survey conducted by Hopkins & Schadler (2015) on utilization of immense data in business organizations showed that its result into a decrease in activities as most workers would depend on big data analytic rather than aiming at attaining objectives of the organization without any external help of the use of technology applications. It is clear that most business organizations suffer disproportionately during such times that they do not use big data because of their limited financial resources, their relative technological shortcomings, capabilities of human and managers and their greater dependence of fewer clients as well as suppliers that readily decreases their inabilities to overcome advancement in technology. Despite several researchers, it is still somewhat desperate to make direct connection amid usage of massive data in organizations along with its effects on productivity (Colombo & Ferrari, 2015). Therefore, this survey attempts to fill the existing gap through the examination of whether the usage of big data in business organizations affects their operations. This survey is conducted in different business community to help in investigating the reasons why organizations are using big data during their services and more significantly how it affects their actions.

Scope of Project

Different significant organizations use big data and its analytics to form strategic as well as operational decisions. The focus on application of big data in business organizations and their impacts on the operations of different stakeholders are vital for various reasons (Lester et al., 2018). In the present era of the internet communication, big data become to play an essential function in the process of management of different business organizations. Besides, it is beneficial for various business organizations to understand the relationship elicited by this survey. Adequate recognition of the association existing between application of big data in the business organization and its effects on output and management can help in disclosing the underlying rationale for organizations to either allow or disallow usage of large data in workplace. Function of massive data has allowed many business organizat5ions to come under scrutiny (Greco & Aiss, 2015). The fact that use of big data has impacted the world’s economy including the management of different business organizations remains to be a severe case to consider. Most business organizations are always focusing on various approaches to enhance the performance of employees and productivity of business. If the use of bi data during management of operations turns out to be one of these means, then business organizations will thus be capable to add application of massive data in the workplace to help in increasing rate of productivity. Furthermore, this study contributes to big data, working performance, along with literature of employee productivity (Vogel, Zhou, & Hu, 2015). This research proposal will also aid in broadening the understanding as well as skills of the effects either beneficial or adverse impact of significant data usage on the productivity of the business organizations.

In order to adequately analyze the principal objective of this research proposal, below mentioned research methodologies would be undertaken in details to help in coming up with the best conclusion on how the use of big data affects operations of different business organizations.  These methods of conducting research will include review of existing literature, data series and surveys or well-structured questionnaires, along with observation of essential indicators of big data. Collection of data will include approaches such as observations, administering of well-structured questionnaires to respondents, and interviewing of different targeted people during the survey (Kitchin, 2015). The analysis of data will consist of two distinct methods that will include qualitative as well as quantitative research methods.

Literature Review

The method of collecting data for analysis will consist of in-depth study along with the analysis of literature that is relevant to the topic. It will also include of studying and analyzing available data from a range of sources that can be gotten from different places such as Google Scholars, journals, books, articles written by various authors, and Science Direct by the help of internet (Tractenbery et al., 2015). A thematic analysis of all these documents used for data collection for the study will be undertaken to help in the examination of the extent to which the repercussions have or have failed to affect operations of business organizations. The use of existing review of literature will serve as secondary data in the process of gathering necessary data for this study (Sarma, Panwar & Sugandh, 2018). Therefore, all the data collected will be studied and analyzed in details. Some of the sources of such data will include CQU library search through websites, peer-reviewed article, and published journal articles by different scholars.

Several data collected from the set of data as well as reviews will be used for scrutiny to offer the idea concerning the use of big data during operations of business organizations. The data series will help in providing about effects that use of big data have on business organizations right from the decomposition of creation and loss of job, balance-sheet, together with income statement items, business as well as conditions of economy and shifts in financial practices and the effects of change on the credit marketplaces (Klein, 2017).

The use of well-structured questionnaires will be essential for collection of data from the targeted population in the society that uses big data in their business operations. Well-structured questionnaires will be prepared and handed out to different management and employees in various business organizations to engage how they react to usage of large data. The questionnaire will help to gauge how respondents view to be the key impacts that they felt that use of large data have on business organizations (Jones et al., 2018). It will also assist in understanding different strategies that they always undertake to ensure that application of big data increases productivity of business organizations. For instance, respondents can be asked to determine to level application of massive data has effectively doubled richness in their business organizations. Besides, different items can be applied to measure effects of usage of big data in organizations concerning financial along with non-financial results using Likert Scale that is a five-pointer. These can include cases where 1 equal to “strong positive impact” to 5 that equals to “strong negative impact.” For example in finance-related impacts can comprise of factors such as late payment by clients, bad debts incurred, level of cash at the operation of different business organizations, periods or terms from various suppliers, along with the availability of business organizations overdraft or loans (Shiri, 2014). Conversely, impacts relating to non-finance can include costs of transport, charges of supplies, shifting value of the relevant currency, prices of energy, level of employees’ motivation, together with the capacity of recruiting new staff that understands the use of big data to support operations of business organizations.

Justification

The idea of examining essential data from the international bureau that deals with financial research and information technology that focuses on the study as well as communication of usage of large data remain necessary to attain required data. The purpose of such method will help in establishing the already defined essential indicators that assist in measuring the use of big data well in advance so that business organizations can develop defensive strategies (Vogel, Zhou, & Hu, 2015). The method aid in counter the impacts of the use of big data before it finally adversely affect their operations.

The analysis of gathered data will comprise of two different ways that include qualitative along with quantitative. For instance, qualitative research analysis approach will make appropriate use of various online forums along with surveys with separate IT advisory on the use of big data in business organizations (Giacumo & Breman, 2016). Besides, quantitative research analysis approach will make appropriate use of various figures, excel sheets, pie charts or diagrams, mathematical, together with models of statistics that are available online and through scholarly articles.

The technique that will be applicable in analyzing qualitative will be the descriptive statistic that involves the process of obtaining median, men, standard deviation, and different distributions of the fundamental variable to assist in showing how different business organizations values cluster around the mean of collected data. It will also comprise of testing of the hypothesis that will consider the likelihood of Type One error as well as Type Two error that relates o whether the gathered data supports accepting or rejecting the interpretation of the research under consideration (Hopkins & Schalder, 2015).  Besides, the use of regression analysis will be of great importance during the study as it will be applicable for checking different concepts such as to say for instance “To what level do usage of large data affect operations of business organizations?”

For analysis of qualitative gather data, the concept from reviewed literature work will be applicable as the source of assistance towards the establishment of different findings. The connection amongst utilization of large data along with operations of business organizations will be examined based on different answers obtained from online surveys as well as online forums. Therefore, this research proposal will consider the mixture of all above research methodologies (qualitative together with quantitative) to arrive at the accurate solution for the problem as identified in the research statement of issues above (Klein, 2017).

The principal limitation of this survey remains to be the fact that it only concentrates on the use of big data in business organizations while there consist of several factors that come with information technology that affects operations of most corporations. It is tough to have an evident effect of utilization of massive data on activities of organizations as the sampled respondents will be obtained only from identified organizations leaving a big gap on outcomes as the most organization that uses big data are affected in different ways by the use of big data (Sherman, 2014). The purpose of journals from different website platforms can lead to misleading data as some authors do not always conduct adequate research before they publish their work on various sites but they only publish their articles for financial gains. The use of two different methodologies in analyzing gathered data can be expensive as it requires the involvement of more workforces in order to attain appropriate outcomes.

The tale below illustrates the time schedule for the entire project to reach it completion

Conclusion

Form the in-depth understanding of the existing literature as well as the responses obtained through surveys (well-structured questionnaires), it is clear that in order to arrive at the relevant research findings, the collected data will be well arranged first, groups together based on several categories and factors that relate to effects that bi data usage have on operations of business organizations. Some of the groupings of these obtained data will be in accordance to sample characteristics, strategies adopted, profile data, multivariate analysis of different factors that impact the performance of business organizations. Therefore, after the grouping of such data, they will then undergo a process of compelling investigation and presentation will follow

References

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