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Source: Journal Citation ReportsTM from ClarivateTM 2022

Entrepreneurship and Sustainability Issues Open access
Journal Impact FactorTM (2022) 1.7
Journal Citation IndicatorTM (2022) 0.42
Received: 2021-07-15  |  Accepted: 2021-09-16  |  Published: 2021-12-30

Title

An empirical investigation of adoption Big Data in higher education sustainability


Abstract

The present research aimed at developing a model on measuring education sustainability, incorporating the literature knowledge management sharing (KMS), innovation as well as adoption of big data (BD) within educational environment. This research hypothesizes that knowledge management sharing influences innovation adoption of BD besides sustainability for learning, while innovation influences adoption of BD besides sustainability in education. It is also hypothesized that BD adoption could be positively connected with education sustainability. The current study adopted a quantitative data gathering approach besides analysis approaches by surveying a total of 811 university undergraduates who were selected by stratified random selection. Learners’ feedback was organized along with the four study constructs thus investigated to clarify their education sustainability. Accordingly, the data was analyzed quantitatively by means of Structure Equation Modelling (SEM). Findings demonstrated that knowledge management sharing positively influenced innovation, adoption of big data as sustainability for education. Results also indicate that innovation were negatively significant determinants of adoption of BD but was positively related to sustainability for education. Last, adoption of BD was positively associated to education sustainability. The BD adoption, innovation and knowledge management sharing successfully explained 79.2 % of education sustainability. Implications along with findings of this research were then provided.


Keywords

adoption of big data, knowledge management sharing, sustainability for education, Structure Equation Modelling (SEM)


JEL classifications

O32 , O33


URI

http://jssidoi.org/jesi/article/903


DOI


Pages

108-122


This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Al-Rahmi, Waleed Mugahed
Universiti Teknologi Malaysia, Johor Bahru, Malaysia https://www.utm.my
Articles by this author in: CrossRef |  Google Scholar

Alkhalaf, Salem
Qassim University, Buraydah, Saudi Arabia https://qu.edu.sa
Articles by this author in: CrossRef |  Google Scholar

Journal title

Entrepreneurship and Sustainability Issues

Volume

9


Number

2


Issue date

December 2021


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 2140  |  PDF downloads: 892

References


Agrawal, K.P. (2015). Investigating the Determinants of Big Data analytics (BDA) Adoption in Asian Emerging Economies, Patna: Chandragupt Institute of Management. https://doi.org/10.5465/ambpp.2015.11290abstract

Search via ReFindit


Al-Rahmi, A. M., Al-Rahmi, W. M., Alturki, U., Aldraiweesh, A., Almutairy, S., & Al-Adwan, A. S. (2021a). Exploring the Factors Affecting Mobile Learning for Sustainability in Higher Education. Sustainability, 13(14), 7893. https://doi.org/10.3390/su13147893

Search via ReFindit


Al-Rahmi, A. M., Shamsuddin, A., Alturki, U., Aldraiweesh, A., Yusof, F. M., Al-Rahmi, W. M., & Aljeraiwi, A. A. (2021b). The Influence of Information System Success and Technology Acceptance Model on Social Media Factors in Education. Sustainability, 13(14), 7770. https://doi.org/10.3390/su13147770

Search via ReFindit


Al-Rahmi, W. M., Alzahrani, A. I., Yahaya, N., Alalwan, N., & Kamin, Y. B. (2020). Digital communication: Information and communication technology (ICT) usage for education sustainability. Sustainability, 12(12), 5052. https://doi.org/10.3390/su12125052

Search via ReFindit


Al-Rahmi, W. M., Yahaya, N., Aldraiweesh, A. A., Alturki, U., Alamri, M. M., Saud, M. S. B., ... & Alhamed, O. A. (2019). Big data adoption and knowledge management sharing: An empirical investigation on their adoption and sustainability as a purpose of education. IEEE Access, 7, 47245-47258. https://doi.org/10.1109/access.2019.2906668

Search via ReFindit


Alalwan, N., Al-Rahmi, W. M., Alfarraj, O., Alzahrani, A., Yahaya, N., & Al-Rahmi, A. M. (2019). Integrated Three Theories to Develop a Model of Factors Affecting Students’ Academic Performance in Higher Education. IEEE Access, 7, 98725-98742. https://doi.org/10.1109/access.2019.2928142

Search via ReFindit


Alamri, M. M., Almaiah, M. A., & Al-Rahmi, W. M. (2020). The role of compatibility and task-technology fit (TTF): On social networking applications (SNAs) usage as sustainability in higher education. IEEE Access, 8, 161668-161681. https://doi.org/10.1109/access.2020.3021944

Search via ReFindit


Avramides, K., Hunter, J., Oliver, M., & Luckin, R. (2015). A method for teacher inquiry in cross curricular projects: Lessons from a case study. British Journal of Educational Technology, 46(2), 249–264. https://doi.org/10.1111/bjet.12233

Search via ReFindit


Bagozzi, R.P., Yi, Y., & Nassen, K.D. (1988). Representation of measurement error in marketing variables: Review of approaches and extension to three-facet designs. Journal of Econometrics, 89(1–2), 393–421. 00068-2 https://doi.org/10.1016/s0304-4076(98)

Search via ReFindit


Bihl, T. J., Young II, W. A., & Weckman, G. R. (2016). Defining, understanding, and addressing big data. International Journal of Business Analytics (IJBAN), 3(2), 1-32. https://doi.org/10.4018/978-1-5225-7501-6.ch004

Search via ReFindit


Burmeister, M., Schmidt-Jacob, S., and Eilk, I. (2013). German chemistry teachers’ understanding of sustainability and education for sustainable development an interview case study. Chem. Educ. Res. Pract. 14, 169–176. https://doi.org/10.1039/c2rp20137b

Search via ReFindit


Butson, R.J., & Daniel, B.K. (2017).The Rise of Big Data and Analytics in Higher Education. In The Analytics Process (pp. 127–140). Auerbach Publications, 2017. https://doi.org/10.1201/9781315161501-5

Search via ReFindit


Chen, Y., Chen, H., Gorkhali, A., Lu, Y., Ma, Y., & Li,L. (2016). Big data analytics and big data science: a survey. Journal of Management Analytics, 3(1), 1–42. https://doi.org/10.1080/23270012.2016.1141332

Search via ReFindit


Cockrell, R.C., & Stone, D.N. (2010). Industry culture influences pseudo-knowledge sharing: a multiple mediation analysis. Journal of Knowledge Management, 14 (6), 841–857. https://doi.org/10.1108/13673271011084899

Search via ReFindit


Cope, B., & Kalantzis, M. (2016). Big data comes to school: Implications for learning, assessment, and research. Aera Open, 2(2), 2332858416641907. https://doi.org/10.1177/2332858416641907

Search via ReFindit


Daniel, B. (2015). Big Data and analytics in higher education: Opportunities and challenges. British journal of educational technology, 46(5), 904–920. https://doi.org/10.1111/bjet.12230

Search via ReFindit


Davis, F.D. (1993). User Acceptance of information technology: system characteristics, user perceptions and behavioural impacts. International Journal of Man-Machine Studies, 38, 475– 487. https://doi.org/10.1006/imms.1993.1022

Search via ReFindit


Doukanari E., Ktoridou D., & Epaminonda E. (2020). Multidisciplinary and Multicultural Knowledge Transfer and Sharing in Higher Education Teamworking. In IEEE Xplore proceedings of EDUCON 2020 – IEEE Global Engineering Education Conference "Engineering Education Through Student Engagement", Porto, Portugal, April 27-30, 2020. pp. 1836-1843. https://doi.org/10.1109/educon45650.2020.9125401

Search via ReFindit


Drigas, A. S., & Leliopoulos, P. (2014). The use of big data in education. International Journal of Computer Science Issues (IJCSI), 11(5), 58. https://www.ijcsi.org/papers/IJCSI-11-5-1-58-63.pdf

Search via ReFindit


Erickson, S., & Rothberg, H. (2015). Big data and knowledge management: establishing a conceptual foundation. Leading Issues in Knowledge Management, 2, 204. https://books.google.com/books?id=SCdsCwAAQBAJ

Search via ReFindit


Fornell, C., & Larcker, D.F. (1998). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 39–50. https://journals.sagepub.com/doi/10.1177/002224378101800104

Search via ReFindit


Gadotti, M. (2010). Reorienting education practices towards sustainability. Journal of Education for Sustainable Development, 4(2). 203- 211. https://journals.sagepub.com/doi/abs/10.1177/097340821000400207?journalCode=jsda

Search via ReFindit


Gartner, A. (2016). Gartner Survey Shows More Than 75 Percent of Companies Are Investing or Planning to Invest in Big Data in the Next Two Years [Online] Available at: http://www.gartner.com/newsroom/id/3130817

Search via ReFindit


Girard, J.P., & Girard, J.L. (2015). Defining knowledge management: Toward an applied compendium, Online Journal of Applied Knowledge Management. 3(1), 1-20. https://www.iiakm.org/ojakm/articles/2015/volume3_1/OJAKM_Volume3_1pp1-20.pdf

Search via ReFindit


Hair, J.F., Sarstedt, M., Ringle, C.M., & Mena, J.A. (2012).An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433. https://link.springer.com/article/10.1007/s11747-011-0261-6

Search via ReFindit


Hoffmann, T., & Siege, H. (2018). What is Education for Sustainable Development (ESD). Human Development, 1(8), 1-6. https://esd-expert.net/files/ESD-Expert/pdf/Was_wir_tun/Lehr-%20und%20Lernmaterialien/What_is_Education_for_Sustainable_Development.pdf

Search via ReFindit


Huda, M., Haron, Z., Ripin, M. N., Hehsan, A., & Yaacob, A. B. C. (2017). Exploring innovative learning environment (ILE): big data era. International Journal of Applied Engineering Research, 12(17), 6678-6685. https://www.ripublication.com/ijaer17/ijaerv12n17_53.pdf

Search via ReFindit


Hwang, Y. (2019). Adoption of Big Data in Higher Education for Better Institutional Effectiveness. American Journal of Creative Education, 2(1), 31-44. https://doi.org/10.20448/815.21.31.44

Search via ReFindit


Ishikawa, A., & Nakagawa, J. (2013). An Introduction to Knowledge Information Strategy. From Business Intelligence to Knowledge Sciences; World Scientific: London, UK, ISBN 978–981–4324–42–7, 2013. https://doi.org/10.1142/7924

Search via ReFindit


Karahanna, E., Evaristo, J., & Srite, M. (2002). Methodological Issues in MIS Cross-Cultural Research. Journal of Global Information Management, 10(1), 48–55. https://doi.org/10.4018/978-1-59140-144-5.ch011

Search via ReFindit


Kayser, V., Nehrke, B., & Zubovic, D. (2018). Data Science as an Innovation Challenge: From Big Data to Value Proposition. Technology Innovation Management Review, 8(3). https://doi.org/10.22215/timreview/1143

Search via ReFindit


Kwon, T.H., Kwak, J.H., & Kim, K. (2015). A study on the establishment of policies for the activation of a big data industry and prioritization of policies: Lessons from Korea. Technological Forecasting and Social Change, 96, 144–152. https://doi.org/10.1016/j.techfore.2015.03.017

Search via ReFindit


Lam, A., and Lambermont-Ford, J.P. (2010). Knowledge sharing in organizational contexts: A motivation-based perspective. Journal of Knowledge Management, 14(1), 51–56. https://doi.org/10.1108/13673271011015561

Search via ReFindit


Martins, A.A., Mata, T.M., & Costa, C.A. (2006). Education for sustainability: challenges and trends. Clean Technologies and Environmental Policy, 8(1), 31–37. https://doi.org/10.1007/s10098-005-0026-3

Search via ReFindit


Mauro, A.D., Greco, M., & Grimaldi, M. (2016). A formal definition of Big Data based on its essential features. Library Review, 65(3), 122–135. https://doi.org/10.1108/lr-06-2015-0061

Search via ReFindit


Miller, R. K. (2011, May). How do you recognize and cultivate potential innovator?. Paper presented at Olin College. https://www.olin.edu/sites/default/files/how_do_you_recognize_and_cultivate_potential_innovators_-_may_2011.pdf

Search via ReFindit


Moore, G.C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192

Search via ReFindit


Mor, Y., Ferguson, R., & Wasson, B. (2015). Learning design, teacher inquiry into student learning and learning analytics: A call for action. British Journal of Educational Technology, 46(2), 221–229. https://doi.org/10.1111/bjet.12273

Search via ReFindit


Nam, D., Kang, D., & Kim S. (2015). Process of big data analysis adoption: Defining big data as a new IS innovation and examining factors affecting the process. Hawaii, Hawaii International Conference on Systems Sciences, 2015. https://doi.org/10.1109/hicss.2015.569

Search via ReFindit


Ngai, E.W., Gunasekaran, A., Wamba, S.F., Akter, S., & Dubey, R. (2017). Big data analytics in electronic markets. Electron. Mark. 27, 243–245. https://doi.org/10.1007/s12525-017-0261-6

Search via ReFindit


Nguyen, T., & Petersen, T.E. (2017). Technology adoption in Norway: organizational assimilation of big data. (Master's thesis). https://openaccess.nhh.no/nhh-xmlui/handle/11250/2455449

Search via ReFindit


Olszak, C. & Mach-Król, M. (2018). A Conceptual Framework for Assessing an Organization‟s Readiness to Adopt Big Data. Sustainability, 10(10), 3734. https://doi.org/10.3390/su10103734

Search via ReFindit


Oye, N.D., Salleh, M., & Iaha, N.A. Knowledge sharing in workplace: Motivators and demotivators. International Journal of Managing Information Technology, 3(4), 71–84, 2011. https://doi.org/10.5121/ijmit.2011.3406

Search via ReFindit


Puklavec, B., Oliveira, T., & Popovič, A. (2014). Unpacking business intelligence systems adoption determinants: An exploratory study of small and medium enterprises. Economic and Business Review, 16(2), 185–23. https://doi.org/10.15458/2335-4216.1278

Search via ReFindit


Rajpathak, T., and Narsingpurkar, A. (2013). Knowledge from big data analytics in product development. TCS white paper. https://www.semanticscholar.org/paper/Managing-Knowledge-from-Big-Data-Analytics-in-Rajpathak/fc95a536777c5bc54cef8399fb93a10803fb94e2

Search via ReFindit


Sáenz, J., Aramburu, N., & Rivera, O. (2009). Knowledge sharing and innovation performance: A comparison between high-tech and low-tech companies. Journal of Intellectual Capital, 10(1), 22–36. https://doi.org/10.1108/14691930910922879

Search via ReFindit


Salleh, K., & Janczewski, L. (2016). Technological, organizational and environmental security and privacy issues of big data: A literature review. Procedia Computer Science, 100, 19–28. https://doi.org/10.1016/j.procs.2016.09.119

Search via ReFindit


Sayaf, A. M., Alamri, M. M., Alqahtani, M. A., & Al-Rahmi, W. M. (2021). Information and Communications Technology Used in Higher Education: An Empirical Study on Digital Learning as Sustainability. Sustainability, 13(13), 7074. https://doi.org/10.3390/su13137074

Search via ReFindit


Sigman, B. P., Garr, W., Pongsajapan, R., Selvanadin, M., Bolling, K., & Marsh, G. (2014). Teaching big data: Experiences, lessons learned, and future directions. Decision Line, 45(1), 10-15. http://statlit.org/pdf/2014-Sigman-Teaching-Big-Data-DSI.pdf

Search via ReFindit


Sun, S., Cegielski, C.G., Jia, L., & Hall, D.J. (2016). Understanding the Factors Affecting the Organizational Adoption of Big Data. Journal of Computer Information Systems, 1–11. https://doi.org/10.1080/08874417.2016.1222891

Search via ReFindit


Ullah, N., Alnumay, W. S., Al-Rahmi, W. M., Alzahrani, A. I., & Al-Samarraie, H. (2020). Modeling cost saving and innovativeness for blockchain technology adoption by energy management. Energies, 13(18), 4783. https://doi.org/10.3390/en13184783

Search via ReFindit


Ullah, N., Mugahed Al-Rahmi, W., Alzahrani, A. I., Alfarraj, O., & Alblehai, F. M. (2021). Blockchain Technology Adoption in Smart Learning Environments. Sustainability, 13(4), 1801. https://doi.org/10.3390/su13041801

Search via ReFindit


Venkatesh, V., & Bala, H. (2008).Technology Acceptance Model 3 and a research agenda on interventions .Journal of Decision Sciences, 39, 2, pp. 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x

Search via ReFindit


Wassan, J. T. (2015). Discovering big data modelling for educational world. Procedia-Social and Behavioral Sciences, 176, 642-649. https://doi.org/10.1016/j.sbspro.2015.01.522

Search via ReFindit


Zeihan, P. (2014).The Accidental Superpower: The Next Generation of American Preeminence and the Coming Global Disorder, Twelve Hachette Book Group, New York, NY. https://www.amazon.com/Accidental-Superpower-Generation-American-Preeminence/dp/1455583685

Search via ReFindit