(IJCRSEE) International Journal of Cognitive Research in Science, Engineering and Education
Vol. 5, No.1, 2017.

ANALYSING A LARGE AMOUNT OF DATA AS A DECISION SUPPORT SYSTEMS TOOL IN NIGERIA ORGANISATION

Original research
Received: April, 16. 2017.
Revised: June, 02.2017.
Accepted: June, 05.2017
doi:10.5937/IJCRSEE1701121F
UDK
004.65(669)

Abstract. Big Data, as a Decision Support Tools in numerous firms, has offered the capacity to assemble, store, access and investigate massive measures of information (data) so that better choice of decisions can be made with respect to clients, providers, employees, logistics, and framework. Contrasts in the utilization of Information Technology (IT) have been found in various countries, thus it is important to lead a far reaching investigation of the encouraging and repressing components (factors) in the adoption and diffusion of BDDSA in Nigeria. The point of this review was accordingly to fill the hole by exploring factors influencing the effective selection of BDDSA in Nigeria MIS (Management Information System) user organizations.
Keywords: Adoption, Big Data, BDDSA, Management Information System, ORACLE.

1. INTRODUCTION

Big data has become a buzzword of business sand its drawbacks and promise are acquiring, developing attention from the media and industry worldwide. The vast amount of data gathered, transferred and stored by new techniques is reshaping priorities for several businesses and the growth of new tools of analytics is aligning with core shifts in the way that firms perform to change the landscape of business. The efficient usage of big data has the importance to transform economies, delivering a new productivity growth wave and surplus of the customer. Using big data will become an essential basis of rivalry for organizations and will make new rivalries that are capable of attracting staffs that have core competencies in a world of big data.
Thus, management information systems deal with greater standards of accuracy, compliance and rigor with big data tools of analytics to address unknown data that could influence the strategy of the business and its execution. This study discusses the components that are affecting the successful adoption of big data decision support application, in information management system user organizations.
The organizational factors with regards to the size of the organization and top management assistance had an essential influence on the adoption of BDDSA. This research justifies factors as the key aspect of BDDSA adoption (Pearson and Wegener 2013, pp. 4) have described that to use big data an organization needs three types of table stakes. The first is the data itself with an enormous amount of information in a format permitting for easy analysis and access. The second is advanced tools of the analytic namely open source, proprietary platforms, and devices are available broad these days, and people are using them in their work. The third is the expertise because advanced analytics need staff with state of the art skills from data science of global privacy laws along with an understanding of business and similar value sources. Similarly, it has been mentioned in the paper (Raichel, T. P., Kokila, S. and Sowmya, 2014, pp. 140) that organizations are entering into the big data world must need to balance the needs of business related to big data, with the related costs of entering into and remaining employed in big data processing, capture, analysis, and storage. Any organization which carries out a big data initiative will need to either hire new people or retrain existing people for their effort to be successful. (Morabito, V., 2015, pp. 65-80) has impacted another resource by big data as the capital that is the business venture financing. Big data and social media have enhanced the merging of financial and sales through crowdfunding. According to (Ziora, L., and Chluski, 2015, pp 9-18), a key success factor for organizations is the feasibility of similar data at the right time. Businesses required knowing what decisions must be made, how these decisions will influence on operational performance, financial outcomes and when to take action. The request for this kind of insight enhances the development of big data to improve them to make smarter, better; data drove real-time decisions that will modify the way they manage their operations and compete in the marketplace.
According to (Bourgeois, 2014, pp. 39) information system is the study of complementary software and hardware networks that organizations and people use to gather, process, create, filter and distribute data. (Laudon and Laudon, 2006, pp.173-181) have described that information systems comprise of data about essential places, people and things within the firm or in surroundings enclosing it. By information, data have been shaped into a form that is useful and meaningful to human beings. Data are fact raw streams indicating incidents existing in firms or physical surroundings before they have been arranged and organized into a form which people can use and understand.
Information systems have been most useful to managers by offering assistance for their norms in disseminating information, providing liaisons between levels of the organization and allocating resources. However, some rules of managers cannot be assisted by computer systems and are less successful in helping unstructured decisions. (Singh, 2000, pp. 140) refers IT as the science, engineering and technology disciplines and the techniques of management used in processing and handling their computers, application and their communication with machines and men and related social, cultural and economic matters.

1.1. Justification for the research

This study examines the factors influencing the adoption of BDDSA and it creates models that are useful in analysing these variables. The adoption model reveals the relationship between the passage of BDDSA and conceptual framework factors. The BDDSA adoption model is helpful in representative factors influencing BDDSA and in differentiating Nigerian firms as early and non-early adopters of BDDSA. This study proposed technological innovation, environment and organizational factors that were critical for adoption stages. The regulatory factors with regards to the size of the organization and top management assistance had an essential influence on the passage of BDDSA. This research justifies factors as the key aspect of BDDSA adoption.
This research is constrained to Oracle companies, and it is conducted in Nigeria only. The questionnaire study system was utilized in this study by applying the aftereffects of a preparatory study using meetings to gather information from the ORACLE Nigerian clients, and writing in the admiration of advancement adoption. The objective of the study is to build up a theoretical model for the Constructive selection of BDDSA. The extent of the survey is to examine the variables influencing the effective adoption of BDDSA in Nigerian MIS user organizations, and all organizational sectors other than oracle companies forms the scope of the study.

2. MATERIALS AND METHODS

The study deals with the identification of the variables influencing the successful adoption of the BDDSA (big data and decision support applications) in Nigerian MIS (information management system) user organizations by the theory of innovation and to add to a conceptual model for the effective adoption of BDDSA. The study first conducted a preliminary survey to make the questionnaire more active and to check whether it is matching the criteria of the review. The initial investigation is carried out using interviews with the ORACLE of Nigeria and from the literature review information gathered on the innovation theories. The collected data through the interview are analyzed using the text evaluation method, and after the complete analysis, the researcher decided on the questionnaire for the final primary data collection.
The sample size for the study is the management information systems (MIS) customers of ORACLE companies in Nigeria, and sample size for the study are 400 MIS clients of ORACLE firms of Nigeria. The sample selection is based on the users of the MIS and BDDSA applications. The respondents are chosen based on these criteria since they answer the question with basic knowledge about the study, and it will be efficient, and the project will be a productive one.
The questionnaire contains three parts where the first part comprises of the background information of the respondents. The second part is the “factors affecting the adoption of BDDSA” that contains the questions that were related to the factors that influence the firms from the adoption of the BDDSA applications. The section consists of nine questions, which is of Likert scale types. The author had chosen seven Likert scale type. The next and the final part is the information system knowledge element that has three questions.
The scoring method is used to motivate the reliable scoring of the methods. A 7-point scale for the overall impact of the study does the scoring. The pilot survey is conducted with the managers of the ORACLE firms of Nigeria to know the exact and effectiveness of the questionnaires. The population size of the pilot study is the ten directors of the companies. Interviews were conducted with the directors, and the discussion was useful for the researcher to tune the questionnaire for the final data collection.
For a review design in light of a basic random sample, the sample size required can be computed by the accompanying formula:

n = t2 * p (1-p)/ m2

n = required sample size
t = confidence level at 95% (standard value)
p = estimated prevalence
m = margin of error of 5% (standard value of 0.05)

The proper sample measure for a populace based study is resolved mainly by three elements:

1. The assessed commonness of the variable of Interest
2. The sought level of certainty and
3. The acceptable margin of error (Alagbe, E. E., Susu, A. A. and Dosunmu, 2016, pp. 21).

3. RESULTS

From the Pearson correlation test for the hypothesis 1, it can be observed that the value of the Pearson correlation coefficient is 29.067, and its corresponding p-value is 0.000<0.05 ensuring that Perceived benefits of using BDDSA affect the successful adoption of Oracle BDDSA by MIS customers of Nigeria. For the hypothesis 2, it is observed that the value of the Pearson correlation coefficient is 31.523 and its corresponding p-value is 0.000<0.05 inferring that Complexity of using BDDSA affects the successful adoption of Oracle BDDSA by MIS customers of Nigeria. For the hypothesis 3, it is observed that the value of the Pearson correlation coefficient is 31.489, and its corresponding p-value is 0.000<0.05 inferring that, Compatibility of using BDDSA affects the successful adoption of Oracle BDDSA by MIS customers of Nigeria. For the hypothesis 4, it can be observed that the value of the Pearson correlation coefficient is 30.420, and its corresponding p-value is 0.000<0.05 ensuring that Top management support in using BDDSA affects the successful adoption of Oracle BDDSA by MIS customers of Nigeria. For the hypothesis 5, it can be observed that the value of the Pearson correlation coefficient is 29.627 and its corresponding p-value is 0.000<0.05 ensuring that the Employment Size of using BDDSA affects the successful adoption of Oracle BDDSA by MIS customers of Nigeria. For the hypothesis 6, it can be observed that the value of the Pearson correlation coefficient is 31.394 and its corresponding p-value is 0.000<0.05 ensuring that Internal need of using BDDSA in the organization affects the successful adoption of Oracle BDDSA by MIS customers of Nigeria.
For the hypothesis 7, it can be observed that the value of the Pearson correlation coefficient is 33.386 and its corresponding p-value is 0.000<0.05 inferring that Selection of vendors who use BDDSA affects the successful adoption of Oracle BDDSA by MIS customers of Nigeria. For the hypothesis 8, it can be observed that the value of the Pearson correlation coefficient is 31.317, and its corresponding p-value is 0.000<0.05 inferring that the business Size (resources) of using BDDSA affects the successful adoption of Oracle BDDSA by MIS customers of Nigeria.

Table 1. One-sample Test

3.1. Perceived Benefits of using BDDSA

Null Hypothesis: Perceived benefits of using BDDSA don not affect the successful adoption of Oracle BDDSA by MIS customers of Nigeria.
Alternative Hypothesis: Perceived benefits of using BDDSA affect the successful adoption of Oracle BDDSA by MIS clients in Nigeria. In other to test the hypothesis, a one-sample t-test was applied by using SPSS.
From Table 1 above, we can observe that the t-value for the perceived benefits of using BDDSA was 29.067, and its corresponding p-value is 0.000<0.05 at a cut-off level of 4. Hence we can reject the null hypothesis and accept the alternate hypothesis.
According to (Jewell, D., Barros, R. D., Diederichs, S., Duijvestijn, L. M., Hammersley, M., Hazra, A., ... and Portilla, I, 2014, pp. 5), BDDSA offers the organizational capability to reshape itself into a contextual enterprise of an organization which adapts to the changing needs of individual customers by using data from a vast number of sources dynamically. The first question asked of the respondents was about if the BDDSA will empower their organization to lessen cost in the operations. From the analysis of the answers obtained it can be observed that a maximum of about 62.8 percent of the respondents agreed that BDDSA would empower their organization to lessen the cost incurred. There were merely a few respondents who disagreed with it.
Next, the respondents were asked if the BDDSA gives competitive data and enhances decision support operations. From the analysis of the answers obtained it can be observed that a maximum of about 58.5 percent of the respondents agreed that BDDSA gives competitive data and enhances decision-support operations, and only about 23 percent of the respondents disagreed with it.
The respondents were then questioned about if their organization accepts that BDDSA will achieve assignments and improve business methods. And it can be observed that about 63 percent of the respondents agreed, and only around 14 per cent of respondents disagreed that, their organization accepts BDDSA will achieve assignments and improve business methods. The next question asked the respondents was about if the BDDSA can screen issues and give solutions in real time. It can be observed from the obtained answers that, about 56.8 percent of the respondents agreed that BDDSA could test problems and provide solutions at real-time and on the other hand nearly 23 percent of the respondents disagreed with the question asked.

3.2. The complexity of using BDDSA

Null Hypothesis: Complexity of using BDDSA does not affect the successful adoption of Oracle BDDSA by MIS customers of Nigeria.
Alternative Hypothesis: Complexity of using BDDSA affects the successful adoption of Oracle BDDSA by MIS clients of Nigeria. In other to test the hypothesis, a one-sample t-test was applied by using SPSS.
From Table 1, we can observe that the t-value for the complexity of using BDDSA was 31.523, and its corresponding p-value is 0.000<0.05 for a cut-off level of 4. Hence we can reject the null hypothesis and accept the alternate hypothesis.
The respondents were then asked about if the procedure of creating BDDSA is confused. From the analysis of obtaining answers, it can be observed that about 64.5 percent of the respondents agreed that the method of creating (making) BDDSA is confused. And around 16 percent of the respondents disagreed that the process of establishing (making) BDDSA is confused. The next question asked the respondents was if the operation of BDDSA is extremely entangled to actualize and use inside their firm. From the answers obtained from the respondents, it can be observed that a maximum of about 58.8 percent of the interviewees agreed that the operation of BDDSA is extensive to be entangled to actualize and use inside your organization. And on the other hand, only around 22 percent of the respondents disagreed with it.
Next, the respondents were asked about if it’s hard to learn BDDSA. On analysing the obtained answers, it can be observed that about 59.5 percent of the interviewees agreed that BDDSA ‘s hard to learn and that only around 15 percent of respondents disagreed with the question.
The next question asked the respondents was if incorporating BDDSA into current work practices will be troublesome. And it can be observed that a maximum of about 58.8 percent of the interviewees agreed that incorporating BDDSA into current work practices will be troublesome while others around 23 per cent of respondents disagreed with it. Next, the respondents were asked about; if there exist significant safety measures inside the firm to execution and utilization of BDDSA. From the obtained answers, it can be observed that about 64.3 percent of the respondents agreed that significant safety exists inside the firm to execution and utilization of BDDSA. And respondents only around 15 per cent disagreed with it. Even though there exist, such complexities, as stated by (Taplin, 2013, pp. 148), the abilities which the BDDSA beings are modifying the way which organizations perform.

3.3. Compatibility of using BDDSA

Null Hypothesis: Compatibility of using BDDSA does not affect the successful adoption of Oracle BDDSA by MIS customers of Nigeria.
Alternative Hypothesis: Compatibility of using BDDSA affects the successful adoption of Oracle BDDSA by MIS clients of Nigeria. In other to test the hypothesis, a one-sample t-test was applied by using SPSS.
From the table 1, we can observe that the t value for compatibility of using BDDSA was 31.489, and its corresponding p-value is 0.000<0.05 at a cut-off level of 4. Hence we can reject the null hypothesis and accept the alternate hypothesis.
The respondents were then asked about the compatibility of using BDDSA, and they were first questioned about if utilizing the BDDSA fits well with how the organization functions. It can be observed that a maximum of about 59.5 percent of the respondents agreed that Utilizing BDDSA fits well with how the body works. It can also be noted that only around 21 percent of respondents disagreed. Next, the respondents were asked about if utilizing the BDDSA is predictable for a good organizational quality and convictions. From the answers obtained as responses, it can be observed that about 59.8 percent of the respondents agreed that utilizing BDDSA is predictable their proper organization’s quality and convictions. On the other hand, about 24 percent of the interviewees disagreed with the question asked. It is also claimed by (Decker, H., Lhotská, L., Link, S., Spies, M. and Wagner, R. R, 2014, pp. 180-181) that, successful handling of big data and utilizing them for business analytics and decision making involve the development of overall efficiency, the development of accuracy. And the speed of decision making, the capability to forecast, a greater understanding of customers and citizen’s requirements and identification of business opportunities.
The respondents were then asked about if the BDDSA is perfect with the firm’s infrastructure. On analyzing the answers obtained from the respondents, it can be observed that a maximum about 58 percent of the respondents agreed and about 24 percent of the respondents disagreed that, BDDSA is perfect with the firm’s IT infrastructure. Next, the respondents were questioned, if the progressions presented by the BDDSA are complete with existing operating practices. The analysis infers that about 63.5 percent of the respondents agreed, and only about 16 percent of the respondents disagreed that, the progressions presented by BDDSA are perfect with existing operating practices. Next, the respondents were questioned about if the organization in the middle of BDDSA and information assets in the original computer is vital. It can be observed from the obtained answers that about 64.3 per cent of the respondents agreed that the organization in the middle of BDDSA and information assets in the original computer is vital. And only around 15 percent of respondents disagreed with it.

3.4. Top Management Support by using BDDSA

Null Hypothesis: Top management support in using BDDSA does not affect the successful adoption of Oracle BDDSA by MIS customers of Nigeria.
Alternative Hypothesis: Top management support in using BDDSA affects the successful adoption of Oracle BDDSA by MIS clients of Nigeria. In other to test the hypothesis, a one-sample t-test was applied by using SPSS.
From the table 1, we can observe that the t value for top management support of using BDDSA was 30.420, and its corresponding p-value is 0.000<0.05 at a cut-off level of 4. Hence we can reject the null hypothesis and accept the alternate hypothesis.
The respondents were then asked about the top management support for using BDDSA and they were first questioned if their top management underpins the appropriation of BDDSA. One of the variables positively affecting usage of BDDSA is the top management support. From the obtained answers it can be observed that about 57.8 percent of the respondents agreed and about 23 percent of the respondents disagreed that, the top management underpins the appropriation of BDDSA. Next, the respondents were asked by the senior officials has offered related assets for the advancement of BDDSA. And it can be observed that about 58.5 percent of the interviewees agreed that senior management had provided related resources for the progression of BDDSA. And on the other hand, it can be observed that nearly 24 percent of the respondents disagreed with it.
The next question asked the respondents was if the top management is mindful of the profits of BDDSA and it can be observed that about 58.5 percent of the respondents agreed, and only about 22 percent of the respondents disagreed with it. Next, they were asked if the top management gives the collaboration to finish for BDDSA projects. And from the obtained answers it can be observed that about 63.5 percent of the respondents agreed, and only around 16 percent of the respondents disagreed that the top management gives the collaboration to finish for BDDSA projects. The next question was, it’s the senior management perceives and comprehends information of BDDSA to sway clients effectively to utilize BDDSA. And it can be observed that about 61 percent of the respondents agreed, and only around 23 percent of respondents disagreed with it.

3.5. Employment Size of using BDDSA

Null Hypothesis: The number of resources employed in using BDDSA does not affect the successful adoption of Oracle BDDSA by MIS customers of Nigeria.
Alternative Hypothesis: The amount of resources used in using BDDSA affects the successful adoption of Oracle BDDSA by MIS clients of Nigeria. In other to test the hypothesis, a one-sample t-test was applied by using SPSS.
From Table 1, we can observe that the t value for business size (resources) was 29.627, and its corresponding p-value is 0.000<0.05 at a cut-off level of 4. Hence we can reject the null hypothesis and accept the alternate hypothesis.
Next, the respondents were asked about if the measure of the organization has a real effect on BDDSA adoption. It can be observed that about 60.5 percent of the respondents agreed, and only about 21 per cent of them disagreed with it. The next question was if their firm has the technological assets to receive BDDSA. And it can be observed that about 57.3 percent of the respondents agreed and about 23 percent disagreed that the enterprise has the technical assets to acquire BDDSA. The next question was if their business gives financial assets to receive or adopt BDDSA. And it can be observed that about 64.5 percent of the respondents agreed only about 15 percent disagreed with it. The next question was if, other organizational assets like training, IS support, IT Administration aides to develop more elevated amounts of BDDSA adoption. And it can be observed that about 57.7 percent of the respondents agreed, and only about 22 percent disagreed with it.
Next, the respondents were asked if, there are no troubles in discovering all essential to actualize BDDSA. And it can be observed that about 58.5 percent of the respondents agreed, and only around 24 percent disagreed with it. Next, the respondents were asked about, if the key clients of BDDSA are acquainted with, have a vision, and comprehend what BDDSA can accomplish for the organization and if they need a far-reaching preparing to create skills and comprehension and use BDDSA. For these questions, it can be observed that about 58.3 per cent and 66.5 per cent of the respondents agreed respectively. When asked if they are educated in exploiting BDDSA capacities, about 58.8 percent of the interviewees agreed to it. Next, the respondents were asked if there are scarcely any real knowledge boundaries in utilizing BDDSA and about 57.5 percent of the respondents agreed to it. Next, they were asked if there is a satisfactory level of understanding and specialized modernity on the BDDSA clients and it can be observed that about 57.0 percent of the respondents agreed to it.

3.6. Internal Need by using BDDSA

Null Hypothesis: Internal need of the organization does not affect the successful adoption of Oracle BDDSA by MIS customers of Nigeria.
Alternative Hypothesis: Internal need of the organization affects the successful adoption of Oracle BDDSA by MIS clients of Nigeria. In other to test the hypothesis, a one-sample t-test was applied by using SPSS.
From Table 1, we can observe that the t value for internal needs of using BDDSA was 31.394, and its corresponding p-value is 0.000<0.05 at a cut-off level of 4. Hence we can reject the null hypothesis and accept the alternate hypothesis.
Next, the respondents were asked if the BDDSA is expected to enhance an appropriate reacting time and to give correct data. From the obtained answers, it can be observed that about 66.3 percent and about 59.3 percent of the respondents respectively agreed to these questions. When asked about if the BDDSA can help in raising competitive changes, it can be observed that about 73.5 percent of the respondents agreed to it. Next, the respondents were asked if the needs manage quality is essential for BDDSA and if there are needs to have expense lessening are obliged to utilize BDDSA. The answers obtained infer that about 51.5 percent and about 59 percent of the respondents respectively agreed to these questions.

3.7. Selection of Vendors of using BDDSA

Null Hypothesis: Selection of vendors who use BDDSA does not affect the successful adoption of Oracle BDDSA by MIS customers of Nigeria.
Alternative Hypothesis: Selection of vendors who use BDDSA affects the successful adoption of Oracle BDDSA by MIS clients of Nigeria. In other to test the hypothesis, a one-sample t-test was applied by using SPSS.
From Table 1, we can observe that the t value for selection of vendors of using BDDSA was 33.386, and its corresponding p-value is 0.000<0.05 at a cut-off level of 4. Hence we can reject the null hypothesis and accept the alternate hypothesis.
The respondents were then questioned about, if the level of rivalry in modern industrial spots weights on the firm to embrace this IT and if it is vital to utilize BDDSA in the industrial environment. From the answers obtained, it can be observed that about 61.5 percent and about 60.3 percent of the respondents respectively agreed to this. Next, they were asked if the firm needs to use BDDSA to keep up its intensity in the business market and for this question, it can be observed that about 63.5% of the respondents agreed. Next, they were asked if it is an essential need to utilize BDDSA and if it is a comprehensiveness of innovation. From the obtained answers, it can be observed that about 68.3 percent and about 56.5 percent of the respondents respectively agreed also to these questions.

3.8. Business Size (resources) of using BDDSA

Null Hypothesis: Size of the business does not affect the successful adoption of Oracle BDDSA by MIS customers of Nigeria.
Alternative Hypothesis: Size of the firm affects the successful adoption of Oracle BDDSA by MIS clients of Nigeria. İn order to test the hypothesis, a one-sample t-test was applied by using SPSS.
From Table 1, we can observe that the t value for business size (resources) of using BDDSA was 31.317, and its corresponding p-value is 0.000<0.05 at a cut-off level of 4. Hence we can reject the null hypothesis and accept the alternate hypothesis.
Next, the respondents were asked if the seller’s reputation is critical in selecting BDDSA accomplice and it can be observed that about 64 percent of the respondents agreed yes it is. The next question was if the relationship with clients; compelling experience and capacity to plan, arrange and complete projects are vital, and it can be observed that about 57 per cent; 68.5 per cent and about 60.3 percent of the respondents respectively agreed that they are essential. Next, the respondents were asked if the innovative competency of advisers or consultants is critical or not and it can be observed that about 64 percent of the respondents agreed that it is indispensable.

4. DISCUSSION

The firms are observed to provide with measures and resources like technological assets, financial assets, training, IS support, IT administration etc. to adopt Big Data Application.
The Big Data Application also enhances a timely reacting time and gives the correct data on managing the quality. And the level of rivalry in modern industrial spots weights on the firm to embrace this IT and makes vital to utilize Big Data Application, in order to keep up its intensity in the business market.
Thus, it can be concluded that, the perceived benefits, Complexity, Compatibility, Top management support, number of resources employed, Absorptive capacity of the clients, Internal need of the organization, Selection of vendors who use Big Data Application, the Size of the business, of the knowledge towards using various levels of Big Data Application and Enhancement of the knowledge on understanding Big Data Application, pave way for the successful Selections of Big Data Application with specific reference to organization DSS user organizations.
This study additionally centered around three particular points and the accompanying four questions were formulated as an aide for the Exploration outline to accomplish its point.
1. First, how do the organizational characteristics vary in the degree of Selections and implementation of Big Data Application by organization companies?
2. Next, what are the advancement factors that can impact DSS clients to adopt business intelligence technologies? In the event that there is a distinction, what sort of variables could be proposed distinctively between early Selections and non-early Selections?
3. Then, which factors are the most vital in the advancing/hindering of Big Data Application?
4. Finally, does this proposed model adequately describe previously successful Selections of Big Data Application?
What’s more, would it be able to be utilized to anticipate the future selection of Big Data Application as Big Data Application is a moderately recent technological innovation in building up the research model for the Selections of Big Data Application from a DSS viewpoint and incorporated those variables influencing the utilization of IT in organizations. This hypothetical philosophy was gotten from the organizational innovation and BI.

5. CONCLUSION

The study also infers that the top management of the organization is mindful of the profits of BDDSA and that they highly support it, by offering related assets for its advancement and by underpinning its appropriation. The top management is also observed perceive and comprehend information of BDDSA to sway clients effectively to utilize BDDSA and also gives the collaboration to finish for BDDSA projects. It can thus be concluded that, only with the support of top management, the complete support of BDDSA can be obtained. The firms are also observed to provide with measures and resources like technological assets, financial assets, training, IS support, IT Administration, etc. to adopt BDDSA.
Given the developmental significance of the utilization of the insight business procedures as a decision support tool in organizations, it is shocking that the factors that impact the adoption of BDDSA have not been entirely explored. Under these circumstances, the general point of this study was to investigate and examine variables influencing the adoption of BDDSA from MIS viewpoint utilizing these advanced technology and decision support tools.

ACKNOWLEDGEMENTS

This study was supported by Oracle University, NIIT in Nigeria. I appreciate their relentless cooperation throughout the period of this research, and for helping us to collect sample data useful for the analysis and conclusion of this research.

Conflict of interests
Author declare no conflict of interest.

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Corresponding Author
Dr. Samson O. Fadiya, Management Information Systems, Girne American University, Turkey
E-mail: greaterachiever@yahoo.com

This work is licensed under a Creative Commons Attribution - NonCommercial - NoDerivs 4.0 The article is published with Open Access at www.ijcrsee.com