Abstract
One of the important research topics and areas that is attracting significant interest and attention globally is ‘big data’. While big data contribute towards the quality of decision-making, it also assists in the development of and extending the knowledge in this area by harnessing available technology. This research presents and discusses the literature related to the quality of big data and its impact on the quality of decision-making. A descriptive methodology approach was also adopted by reviewing the literature of published and unpublished scientific research along with a survey in the form of a questionnaire involving participants from Abu Dhabi Police Agencies to collect their views and opinions in this area. The results from the literature review and survey led to proposing a theoretical, conceptual model according to the quantitative and numerical methodology. The findings of this research have revealed that the quality of big data predicts the quality of decision-making and that the quality of big data in Abu Dhabi Governmental Organisations (ADGO) plays a significant role in the quality of decision-making.
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References
Abdulrab, M., Zumrah, A.-R., Almaamari, Q., Al-tahitah, A. N., Isaac, O., & Ameen, A. (2018). The role of psychological empowerment as a mediating variable between perceived organizational support and organizational citizenship behaviour in Malaysian higher education institutions. International Journal of Management and Human Science (IJMHS), 2(3), 1–14.
Al-Ali, W., Ameen, A., Isaac, O., Khalifa, G. S. A., & Hamoud, A. (2011). The mediating effect of job happiness on the relationship between job satisfaction and employee performance and turnover intentions: A case study on the oil and gas industry in the United Arab Emirates. Journal of Business and Retail Management Research (JBRMR), 13(4), 1–15.
Al-Obthani, F., & Ameen, A. (2018). Towards customized smart government quality model. International Journal of Software Engineering & Applications, 9(2), 41–50. https://doi.org/10.5121/ijsea.2018.9204.
Al-Shamsi, R., Ameen, A., Isaac, O., Al-Shibami, A. H., & Sayed Khalifa, G. (2018). The impact of innovation and smart government on happiness: Proposing conceptual framework. International Journal of Management and Human Science (IJMHS), 2(2), 10–26.
Alkhateri, A. S., Abuelhassan, A. E., Khalifa, G. S. A., Nusari, M., & Ameen, A. (2018). The Impact of perceived supervisor support on employees turnover intention: The mediating role of job satisfaction and affective organizational commitment. International Business Management, 12(7), 477–492. https://doi.org/10.3923/ibm.2018.477.492.
Ameen, A., & Ahmad, K. (2011). The Role of Finance Information Systems in anti financial corruptions: A theoretical review. In 11 International Conference on Research and Innovation in Information Systems (ICRIIS’11 (pp. 267–272). IEEE. http://doi.org/10.1109/ICRIIS.2011.6125725.
Ameen, A., & Ahmad, K. (2012). Towards harnessing financial information systems in reducing corruption: A review of strategies. Australian Journal of Basic and Applied Sciences, 6(8), 500–509.
Ameen, A., & Ahmad, K. (2013). A conceptual framework of financial information systems to reduce corruption. Journal of Theoretical and Applied Information Technology, 54(1), 59–72.
Ameen, A., & Ahmad, K. (2013b). Proposing strategy for utilizing financial information systems in reducing corruption. In 3rd International Conference on Research and Innovation in Information Systems—2013 (ICRIIS’13) (Vol. 2013, pp. 75–80).
Ameen, A., & Ahmad, K. (2013c). Proposing strategy for utilizing financial information systems in reducing corruption. In 3rd International Conference on Research and Innovation in Information Systems—2013 (ICRIIS’13) (Vol. 2013, pp. 75–80).
Ameen, A., Almari, H., & Isaac, O. (2018). Determining Underlying Factors that Influence Online Social Network Usage among Public Sector Employees in the UAE. In B. A. Saeed F., Gazem N., & Mohammed F. (Eds.), 3rd International Conference on Reliable Information and Communication Technology 2018 (IRICT 2018), Bangi-Putrajaya, Malaysia (3rd ed., Vol. 843, pp. 945–954). Cham: Springer. http://doi.org/doi.org/10.1007/978-3-319-99007-1_87.
Ameen, A., Almari, H., & Isaac, O. (2019). Determining Underlying factors that influence online social network usage among public sector employees in the UAE. In F. M. Faisal Saeed & N. Gazem (Eds.), Recent trends in data science and soft computing. IRICT 2018. Advances in intelligent systems and computing (Recent Tre, Vol. 843, pp. 945–954). Springer Nature Switzerland AG: Springer. http://doi.org/10.1007/978-3-319-99007-1
Ameen, A., Almulla, A., Maram, A., Al-Shibami, A. H., & Ghosh, A. (2018). The impact of knowledge sharing on managing organizational change within Abu Dhabi national oil organizations. International Journal of Management and Human Science (IJMHS), 2(3), 27–36.
Ameen, A., & Kamsuriah, A. (2017). Information Systems Strategies to Reduce Financial Corruption. In S. M. & Benlamri R. (Ed.), Springer proceedings in business and economics (Vol. 1, pp. 731–740). Cham, Switzerland: Springer. http://doi.org/10.1007/978–3-319-43434-6_65
Arefin, M. S., Hoque, M. R., & Bao, Y. (2015). The impact of business intelligence on organization’s effectiveness: An empirical study. Journal of Systems and Information Technology, 17(3), 263–285. https://doi.org/10.1108/JSIT-09-2014-0067.
Cao, G., Duan, Y., & Li, G. (2015). Linking business analytics to decision making effectiveness: A path model analysis. IEEE Transactions on Engineering Management, 62(3), 384–395. https://doi.org/10.1109/TEM.2015.2441875.
Chan, Y. H. (2005). Structural Equation Modeling, 46(12), 675–680.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–358). New Jersey: Lawrence Erlbaum Associates, Mahwah, NJ: Lawrence Erlbaum.
Fahad, A.-O., & Ameen, A. (2017). Toward proposing SMART-government maturity model: Best practices, international standards, and six-sigma approach. In 1st International Conference on Management and Human Science (ICMHS 2017) (p. 2017). Kuala Lumpur, Malaysia.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(1), 1–79.
Haddad, A., Ameen, A., & Mukred, M. (2018). The impact of intention of use on the success of big data adoption via organization readiness factor. International Journal of Management and Human Science (IJMHS), 2(1), 43–51.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. New Jersey.
Isaac, O., Abdullah, Z., Ramayah, T., & Mutahar, A. M. (2017). Internet usage, user satisfaction, task-technology fit, and performance impact among public sector employees in Yemen. International Journal of Information and Learning Technology, 34(3), 210–241. https://doi.org/10.1108/IJILT-11-2016-0051.
Isaac, O., Abdullah, Z., Ramayah, T., & Mutahar, A. M. (2017). Internet usage and net benefit among employees within government institutions in Yemen: An extension of Delone and Mclean information systems success model (DMISM) with task-technology fit. International Journal of Soft Computing, 12(3), 178–198. https://doi.org/10.3923/ijscomp.2017.178.198.
Isaac, O., Abdullah, Z., Ramayah, T., & Mutahar, A. M. (2017). Internet usage within government institutions in Yemen: An extended technology acceptance model (TAM) with internet self-efficacy and performance impact. Science International, 29(4), 737–747.
Isaac, O., Abdullah, Z., Ramayah, T., & Mutahar, A. M. (2018). Factors determining user satisfaction of internet usage among public sector employees in Yemen. International Journal of Technological Learning, Innovation and Development, 10(1), 37–68. https://doi.org/10.1504/IJTLID.2018.10012960.
Isaac, O., Abdullah, Z., Ramayah, T., Mutahar, A. M., & Alrajawy, I. (2018). Integrating user satisfaction and performance impact with technology acceptance model (TAM) to examine the internet usage within organizations in Yemen. Asian Journal of Information Technology, 17(1), 60–78. https://doi.org/10.3923/ajit.2018.60.78.
Kannana, V. R., & Tan, K. C. (2005). Just in time, total quality management, and supply chain management: understanding their linkages and impact on business performance. Omega: The International Journal of Management Science, 33(2), 153–162.
Kline, R. B. (2008). Principles and practice of structural equation modeling. New York, NY, US: The Guilford Press.
Koltay, T. (2016). Data governance, data literacy and the management of data quality. IFLA Journal, 42(4), 303–312. https://doi.org/10.1177/0340035216672238.
Mohamed, N., Kaur, J., & Gian, A. P. (2012). Information management & computer security emerald article : A conceptual framework for information technology governance effectiveness in private organizations.
Mohsen, A.-A., Ameen, A., & Al-Gamrh, B. (2017). The impact of achievement and enablers excellence and innovation in organization: A proposed model. In 1st International Conference on Management and Human Science (ICMHS2017) (p. 19). Kuala Lumpur, Malaysia.
Mugnaini, R., & Fujino, A. (2017). Bibliometria e cientometria no Brasil: infraestrutura para avaliação da pesquisa científica na era do Big Data. http://doi.org/10.11606/9788572051705
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Bonningstedt: SmartPLS.
Toivonen, M. (2015). Big data quality challenges in the context of business analytics department of computer science.
Yazeed, A., Ali, A., & Al- Shibami, H. (2018). Conceptual framework for investigating the intermediate role of information systems between big data factor and decision-making factor. International Journal of Management and Human Science (IJMHS), 2(2), 39–45.
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Alkatheeri, Y., Ameen, A., Isaac, O., Nusari, M., Duraisamy, B., Khalifa, G.S.A. (2020). The Effect of Big Data on the Quality of Decision-Making in Abu Dhabi Government Organisations. In: Sharma, N., Chakrabarti, A., Balas, V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1016. Springer, Singapore. https://doi.org/10.1007/978-981-13-9364-8_18
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