Big Data Analytics in Gaza's Higher Education: Identifying and Addressing Key Implementation Barriers
Keywords:
big data, big data analytics, barriers of adaption big data analytics, Gaza strip.
Abstract
This research provides an in-depth investigation into the adoption of Big Data Analytics (BDA) technology in higher education institutions (HEIs) in the Gaza Strip, along with a detailed analysis of the barriers to its implementation. Using a quantitative research methodology, data was collected from 305 participants. Principal Component Analysis (PCA) was employed to identify key barriers to BDA, including challenges related to infrastructure, security, resources, knowledge, and data characteristics. The study found that financial constraints, access pricing and conditions, significant investment costs, lack of BDA expertise, operational expenses, experience sharing, and resource development are the main barriers to BDA adoption. Additionally, the study shows that 65.3% of HEIs are using BDA technology, with a BDA readiness score of 66.68%. Regression analysis indicates that barriers related to security, finances, data characteristics, skills, and infrastructure negatively impact BDA practice and readiness. Based on these findings, proactive measures are recommended to address these barriers in the Gaza Strip. These measures include developing government initiatives, upgrading IT infrastructure, enhancing BDA skills, and promoting BDA technology awareness. The research advocates for further exploration of the specific challenges and opportunities faced by local universities and a deeper investigation into the potential benefits of BDA adoption. Overcoming these obstacles and fostering BDA integration could enhance data analysis capabilities, contributing to the growth and competitive strength of the Gaza Strip.
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References
Abdulkadri, A., Evans, A., & Ash, T. (2016). An assessment of big data for official statistics in the Caribbean: challenges and opportunities.
Acharjya, D. P., & Kauser, A. P. (2016). A survey on big data analytics: challenges, open research issues and tools. International Journal of Advanced Computer Science and Applications, 7(2). doi: 10.14569/IJACSA.2016.070267
Adams, A. (2018). Critical Success Factors for SMEs in Big Data Analytics (masters). Seattle Pacific University.
Agrawal, K. (2015). Investigating the determinants of Big Data Analytics (BDA) adoption in Asian emerging economies. doi: 10.5465/AMBPP.2015.11290abstract
Alharthi, A., Krotov, V., & Bowman, M. (2017). Addressing barriers to big data. Business Horizons, 60(3), 285-292. doi: 10.1016/j.bushor.2017.01.002
Aseeri, M., & Kang, K. (2023). Organisational culture and big data socio-technical systems on strategic decision making: Case of Saudi Arabian higher education. Education and Information Technologies, 1-26
Balachandran, B. M., & Prasad, S. (2017). Challenges and benefits of deploying big data analytics in the cloud for business intelligence. Procedia Computer Science, 112, 1112-1122. doi: 10.1016/j.procs.2017.08.138
Barakat, M. (2016). Challenges facing statistical agencies under the big data revolution: Case Study, Palestine. Paper presented at the The Fifth International Scientific Conference of the Arab Statistical Union, Cairo.
Bedeley, R. (2014). Big Data opportunities and challenges: the case of banking industry.
Bhadani, A. K., & Jothimani, D. (2016). Big data: challenges, opportunities, and realities. Effective big data management and opportunities for implementation, 1-24.
Bienkowski, M., Feng, M., & Means, B. (2012). Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics: An Issue Brief. Office of Educational Technology, US Department of Education.
Brohi, S. N., Bamiah, M. A., & Brohi, M. N. (2016). Identifying and analyzing the transient and permanent barriers for big data. Journal of Engineering Science and Technology, 11(12), 1793-1807.
Gómez, L. F., & Heeks, R. (2016). Measuring The Barriers To Big Data For Development: Design-Reality Gap Analysis In Colombia's Public Sector. Development Informatics Working Paper(62). doi: 10.13140/RG.2.2.31047.04007
Jeble, S., Kumari, S., & Patil, Y. (2018). Role of big data in decision making. Operations and Supply Chain Management: An International Journal, 11(1), 36-44. doi: 10.31387/oscm0300198
Kalim, U. (2021). The growing role of big data in education and its implications for educational leadership. International Journal of Research and Innovation in Social Science, 5(1), 257-262.
Khan, S. (2022). Barriers of big data analytics for smart cities development: a context of emerging economies. International Journal of Management Science and Engineering Management, 17(2), 123-131. doi: 10.1080/17509653.2021.1997662
Li, J., Tao, F., Cheng, Y., & Zhao, L. (2015). Big data in product lifecycle management. The International Journal of Advanced Manufacturing Technology, 81(1), 667-684. doi: 10.1007/s00170-015-7151-x
Lutfi, A., Alrawad, M., Alsyouf, A., Almaiah, M. A., Al-Khasawneh, A., Al-Khasawneh, A. L., . . . Ibrahim, N. (2023). Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling. Journal of Retailing and Consumer Services, 70, 103129. doi: 10.1016/j.jretconser.2022.103129
Lutfi, A., Alsyouf, A., Almaiah, M. A., Alrawad, M., Abdo, A. A. K., Al-Khasawneh, A. L., . . . Saad, M. (2022). Factors Influencing the Adoption of Big Data Analytics in the Digital Transformation Era: Case Study of Jordanian SMEs. Sustainability, 14(3), 1802.
Malaka, I., & Brown, I. (2015). Challenges to the organisational adoption of big data analytics: A case study in the South African telecommunications industry. Paper presented at the Proceedings of the 2015 annual research conference on South African institute of computer scientists and information technologists.
MOHE. (2022). The annual statistical book for Palestinian higher education institutions for the academic year 2021 2022, Ramallah, Palestine.
Moktadir, M. A., Ali, S. M., Paul, S. K., & Shukla, N. (2019). Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh. Computers & Industrial Engineering, 128, 1063-1075.
Nazarenko, M. A., & Khronusova, T. V. (2017). Big data in modern higher education. Benefits and criticism. Paper presented at the 2017 International Conference" Quality Management, Transport and Information Security, Information Technologies"(IT&QM&IS).
Park, J.-H., & Kim, Y. B. (2021). Factors activating big data adoption by Korean firms. Journal of Computer Information Systems, 61(3), 285-293.
PCBS. (2021). Palestinian Central Bureau of Statistics Retrieved 17/12/2022, 2022
Rubinfeld, D. L., & Gal, M. S. (2017). Access barriers to big data. Ariz. L. Rev., 59, 339.
Sam, K. M., & Chatwin, C. R. (2018). Understanding adoption of Big data analytics in China: From organizational users perspective. Paper presented at the 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).
Schade, S. (2015). BIG DATA BREAKING BARRIERS--FIRST STEPS ON A LONG TRAIL. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of business research, 70, 263-286.
statista. (2022). Electronic waste worldwide Retrieved 03/05/2020, 2022, from https://www.statista.com/statistics/1067081/generation-electronic-waste-globally-forecast/
Surbakti, F. P. S., Wang, W., Indulska, M., & Sadiq, S. (2020). Factors influencing effective use of big data: A research framework. Information & Management, 57(1), 103146.
Ularu, E. G., Puican, F. C., Apostu, A., & Velicanu, M. (2012). Perspectives on big data and big data analytics. Database Systems Journal, 3(4), 3-14.
Wahab, S. N., Hamzah, M. I., Sayuti, N. M., Lee, W. C., & Tan, S. Y. (2021). Big data analytics adoption: an empirical study in the Malaysian warehousing sector. International Journal of Logistics Systems and Management, 40(1), 121-144.
Walker, R. S., & Brown, I. (2019). Big data analytics adoption: A case study in a large South African telecommunications organisation. South African Journal of Information Management, 21(1), 1-10.
Weibl, J., & Hess, T. (2018). Success or failure of big data: Insights of managerial challenges from a technology assimilation perspective. Proceedings of the Multikonferenz Wirtschaftsinformatik (MKWI), 12-59.
Williams, P. (2017). Assessing collaborative learning: big data, analytics and university futures. Assessment & Evaluation in Higher Education, 42(6), 978-989.
Yousef, Y. A. (2023). Investigating the Role of Critical Success Factors in Achieving the Success of Agile Projects in the Gaza Strip. CIT. Journal of Computing and Information Technology, 30(2), 117-137.
Yousef, Y. A., & Meshmesh, A. M. (2020). Management Critical Success Factors for Implementation of the E-HRM System in Gaza Strip's High Education Sectors.
Youssef, M. A. E.-A., Eid, R., & Agag, G. (2022). Cross-national differences in big data analytics adoption in the retail industry. Journal of Retailing and Consumer Services, 64, 102827.
Acharjya, D. P., & Kauser, A. P. (2016). A survey on big data analytics: challenges, open research issues and tools. International Journal of Advanced Computer Science and Applications, 7(2). doi: 10.14569/IJACSA.2016.070267
Adams, A. (2018). Critical Success Factors for SMEs in Big Data Analytics (masters). Seattle Pacific University.
Agrawal, K. (2015). Investigating the determinants of Big Data Analytics (BDA) adoption in Asian emerging economies. doi: 10.5465/AMBPP.2015.11290abstract
Alharthi, A., Krotov, V., & Bowman, M. (2017). Addressing barriers to big data. Business Horizons, 60(3), 285-292. doi: 10.1016/j.bushor.2017.01.002
Aseeri, M., & Kang, K. (2023). Organisational culture and big data socio-technical systems on strategic decision making: Case of Saudi Arabian higher education. Education and Information Technologies, 1-26
Balachandran, B. M., & Prasad, S. (2017). Challenges and benefits of deploying big data analytics in the cloud for business intelligence. Procedia Computer Science, 112, 1112-1122. doi: 10.1016/j.procs.2017.08.138
Barakat, M. (2016). Challenges facing statistical agencies under the big data revolution: Case Study, Palestine. Paper presented at the The Fifth International Scientific Conference of the Arab Statistical Union, Cairo.
Bedeley, R. (2014). Big Data opportunities and challenges: the case of banking industry.
Bhadani, A. K., & Jothimani, D. (2016). Big data: challenges, opportunities, and realities. Effective big data management and opportunities for implementation, 1-24.
Bienkowski, M., Feng, M., & Means, B. (2012). Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics: An Issue Brief. Office of Educational Technology, US Department of Education.
Brohi, S. N., Bamiah, M. A., & Brohi, M. N. (2016). Identifying and analyzing the transient and permanent barriers for big data. Journal of Engineering Science and Technology, 11(12), 1793-1807.
Gómez, L. F., & Heeks, R. (2016). Measuring The Barriers To Big Data For Development: Design-Reality Gap Analysis In Colombia's Public Sector. Development Informatics Working Paper(62). doi: 10.13140/RG.2.2.31047.04007
Jeble, S., Kumari, S., & Patil, Y. (2018). Role of big data in decision making. Operations and Supply Chain Management: An International Journal, 11(1), 36-44. doi: 10.31387/oscm0300198
Kalim, U. (2021). The growing role of big data in education and its implications for educational leadership. International Journal of Research and Innovation in Social Science, 5(1), 257-262.
Khan, S. (2022). Barriers of big data analytics for smart cities development: a context of emerging economies. International Journal of Management Science and Engineering Management, 17(2), 123-131. doi: 10.1080/17509653.2021.1997662
Li, J., Tao, F., Cheng, Y., & Zhao, L. (2015). Big data in product lifecycle management. The International Journal of Advanced Manufacturing Technology, 81(1), 667-684. doi: 10.1007/s00170-015-7151-x
Lutfi, A., Alrawad, M., Alsyouf, A., Almaiah, M. A., Al-Khasawneh, A., Al-Khasawneh, A. L., . . . Ibrahim, N. (2023). Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling. Journal of Retailing and Consumer Services, 70, 103129. doi: 10.1016/j.jretconser.2022.103129
Lutfi, A., Alsyouf, A., Almaiah, M. A., Alrawad, M., Abdo, A. A. K., Al-Khasawneh, A. L., . . . Saad, M. (2022). Factors Influencing the Adoption of Big Data Analytics in the Digital Transformation Era: Case Study of Jordanian SMEs. Sustainability, 14(3), 1802.
Malaka, I., & Brown, I. (2015). Challenges to the organisational adoption of big data analytics: A case study in the South African telecommunications industry. Paper presented at the Proceedings of the 2015 annual research conference on South African institute of computer scientists and information technologists.
MOHE. (2022). The annual statistical book for Palestinian higher education institutions for the academic year 2021 2022, Ramallah, Palestine.
Moktadir, M. A., Ali, S. M., Paul, S. K., & Shukla, N. (2019). Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh. Computers & Industrial Engineering, 128, 1063-1075.
Nazarenko, M. A., & Khronusova, T. V. (2017). Big data in modern higher education. Benefits and criticism. Paper presented at the 2017 International Conference" Quality Management, Transport and Information Security, Information Technologies"(IT&QM&IS).
Park, J.-H., & Kim, Y. B. (2021). Factors activating big data adoption by Korean firms. Journal of Computer Information Systems, 61(3), 285-293.
PCBS. (2021). Palestinian Central Bureau of Statistics Retrieved 17/12/2022, 2022
Rubinfeld, D. L., & Gal, M. S. (2017). Access barriers to big data. Ariz. L. Rev., 59, 339.
Sam, K. M., & Chatwin, C. R. (2018). Understanding adoption of Big data analytics in China: From organizational users perspective. Paper presented at the 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).
Schade, S. (2015). BIG DATA BREAKING BARRIERS--FIRST STEPS ON A LONG TRAIL. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of business research, 70, 263-286.
statista. (2022). Electronic waste worldwide Retrieved 03/05/2020, 2022, from https://www.statista.com/statistics/1067081/generation-electronic-waste-globally-forecast/
Surbakti, F. P. S., Wang, W., Indulska, M., & Sadiq, S. (2020). Factors influencing effective use of big data: A research framework. Information & Management, 57(1), 103146.
Ularu, E. G., Puican, F. C., Apostu, A., & Velicanu, M. (2012). Perspectives on big data and big data analytics. Database Systems Journal, 3(4), 3-14.
Wahab, S. N., Hamzah, M. I., Sayuti, N. M., Lee, W. C., & Tan, S. Y. (2021). Big data analytics adoption: an empirical study in the Malaysian warehousing sector. International Journal of Logistics Systems and Management, 40(1), 121-144.
Walker, R. S., & Brown, I. (2019). Big data analytics adoption: A case study in a large South African telecommunications organisation. South African Journal of Information Management, 21(1), 1-10.
Weibl, J., & Hess, T. (2018). Success or failure of big data: Insights of managerial challenges from a technology assimilation perspective. Proceedings of the Multikonferenz Wirtschaftsinformatik (MKWI), 12-59.
Williams, P. (2017). Assessing collaborative learning: big data, analytics and university futures. Assessment & Evaluation in Higher Education, 42(6), 978-989.
Yousef, Y. A. (2023). Investigating the Role of Critical Success Factors in Achieving the Success of Agile Projects in the Gaza Strip. CIT. Journal of Computing and Information Technology, 30(2), 117-137.
Yousef, Y. A., & Meshmesh, A. M. (2020). Management Critical Success Factors for Implementation of the E-HRM System in Gaza Strip's High Education Sectors.
Youssef, M. A. E.-A., Eid, R., & Agag, G. (2022). Cross-national differences in big data analytics adoption in the retail industry. Journal of Retailing and Consumer Services, 64, 102827.
Published
2024-10-11
How to Cite
Yousef, Y. (2024). Big Data Analytics in Gaza’s Higher Education: Identifying and Addressing Key Implementation Barriers. Jurnal Sistem Informasi, 20(2), 32-51. https://doi.org/10.21609/jsi.v20i2.1418
Section
Articles
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