Big Data Adoption and Knowledge Management Sharing for Organizational Intelligence
Keywords:
distributed cloud, cloud services, digital repository, digital transformationAbstract
This paper proposes a theoretical model that links organizational intelligence with big data adoption factors and knowledge management sharing factors in an organizational environment and applies the Technology-Organization-Environment Framework: TOE. The model consists of three dimensions which are (1) the technological dimension: relative advantage, complexity, and compatibility, (2) the organizational dimension: top management support, organizational data environment, and organizational readiness, and (3) the environmental dimension: government regulation and policy and external pressure. Besides, the knowledge management sharing factor emphasizes age diversity, cultural diversity, and organizational sharing culture. This study focuses on the relationship between big data adoption factors and knowledge management sharing factors influencing organizational intelligence. This theoretical model is appropriate for conducting survey research to analyze data and plan strategies at the organizational level for organizational intelligence.
References
Al_barazanchi, I., Jaaz, Z. A., Abbas, H. H., & Abdulshaheed, H. R. (2020). Practical application of iot and its implications on the existing software. International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2020-October, 10–14. https://doi.org/10.23919/EECSI50503.2020.9251302
Almotiry, O. N., Sha, M., Rahamathulla, M. P., & Dawood Omer, O. S. (2021). Hybrid cloud architecture for higher education system. Computer Systems Science and Engineering, 36(1). https://doi.org/10.32604/csse.2021.014267
AlNuaimi, B. K., Kumar Singh, S., Ren, S., Budhwar, P., & Vorobyev, D. (2022). Mastering digital transformation: The nexus between leadership, agility, and digital strategy. Journal of Business Research, 145, 636–648. https://doi.org/10.1016/j.jbusres.2022.03.038
Amin, R., Kumar, N., Biswas, G. P., Iqbal, R., & Chang, V. (2018). A light weight authentication protocol for IoT-enabled devices in distributed Cloud Computing environment. Future Generation Computer Systems, 78, 1005–1019. https://doi.org/10.1016/j.future.2016.12.028
Amit Garg, & Rakesh Rathi. (2019). A Survey on Cloud Computing Risks and Remedies. www.ijcaonline.org
Bernisca, R. R., Rie, A., Tamayo, F., Andrew, P., & Roa, V. (2020). Development of an Online Digital Repository of e-Books and e-Journals for PSU-Urdaneta College of Computing. Technology, and Computing Sciences (JETCS), 32(2), 32–34. www.psurj.org/jetcs
Chen, C. L., Lin, Y. C., Chen, W. H., Chao, C. F., & Pandia, H. (2021). Role of government to enhance digital transformation in small service business. Sustainability (Switzerland), 13(3), 1–26. https://doi.org/10.3390/su13031028
Cheng, J. S., Huang, E., & Lin, C. L. (2012). An e-book hub service based on a cloud platform. International Review of Research in Open and Distance Learning, 13(5), 39–55. https://doi.org/10.19173/irrodl.v13i5.1251
Digitized Thailand. (2015). Botnam. [Introduction]. Retrieved January 2022, from http://www.digitizedthailand.org.
Donaldson, D. R. (2020). Certification information on trustworthy digital repository websites: A content analysis. PLoS ONE, 15(12 December). https://doi.org/10.1371/journal.pone.0242525
Feroz, A. K., Zo, H., & Chiravuri, A. (2021). Digital transformation and environmental sustainability: A review and research agenda. Sustainability (Switzerland), 13(3), 1–20. https://doi.org/10.3390/su13031530
Fitzgerald, S. (Sue C.), Guzdial, M., Lewandowski, G., Wolfman, S., Cortina, T. J., & Association for Computing Machinery. Special Interest Group on Computer Science Education. (2009). SIGCSE ’09 : proceedings of the 40th ACM Technical Symposium on Computer Science Education : Chattanooga, Tennessee, USA, March 4-7
Fox, C. W., Duffy, M. A., Fairbairn, D. J., & Meyer, J. A. (2019). Gender diversity of editorial boards and gender differences in the peer review process at six journals of ecology and evolution. Ecology and Evolution, 9(24), 13636–13649. https://doi.org/10.1002/ece3.5794
Frank, R. D. (2022). Risk in trustworthy digital repository audit and certification. Archival Science, 22(1), 43–73. https://doi.org/10.1007/s10502-021-09366-z
García-Peñalvo, F. J. (2021). Avoiding the dark side of digital transformation in teaching. an institutional reference framework for eLearning in higher education. Sustainability (Switzerland), 13(4), 1–17. https://doi.org/10.3390/su13042023
Ghorbel, A., Ghorbel, M., & Jmaiel, M. (2021). Accountable privacy preserving attribute-based access control for cloud services enforced using blockchain. International Journal of Information Security. https://doi.org/10.1007/s10207-021-00565-4
Hai, T. N., Van, Q. N., & Tuyet, M. N. T. (2021). Digital transformation: Opportunities and challenges for leaders in the emerging countries in response to covid-19 pandemic. In Emerging Science Journal (Vol. 5, Issue Special Issue, pp. 21–36). Ital Publication. https://doi.org/10.28991/esj-2021-SPER-03
Hanelt, A., Bohnsack, R., Marz, D., & Antunes Marante, C. (2021). A Systematic Review of the Literature on Digital Transformation: Insights and Implications for Strategy and Organizational Change. Journal of Management Studies, 58(5), 1159–1197. https://doi.org/10.1111/joms.12639
Holmström, J. (2021). From AI to digital transformation: The AI readiness framework. Business Horizons. https://doi.org/10.1016/j.bushor.2021.03.006
Jensen, L., & Lundström, L. (2021). NAVIGATING YOUR WAY THROUGH THE CLOUDS A qualitative study on the transition to cloud services within Swedish municipalities Acknowledgement.
Kraus, S., Schiavone, F., Pluzhnikova, A., & Invernizzi, A. C. (2021). Digital transformation in healthcare: Analyzing the current state-of-research. Journal of Business Research, 123, 557–567. https://doi.org/10.1016/j.jbusres.2020.10.030
Kutay, S. (2014). Advancing Digital Repository Services for Faculty Primary Research Assets: An Exploratory Study. Journal of Academic Librarianship, 40(6), 642–649. https://doi.org/10.1016/j.acalib.2014.08.006
Li, F., Lu, H., Hou, M., Cui, K., & Darbandi, M. (2021). Customer satisfaction with bank services: The role of cloud services, security, e-learning and service quality. Technology in Society, 64. https://doi.org/10.1016/j.techsoc.2020.101487
Llopis-Albert, C., Rubio, F., & Valero, F. (2021). Impact of digital transformation on the automotive industry. Technological Forecasting and Social Change, 162. https://doi.org/10.1016/j.techfore.2020.120343
Marimuthu, M., Akilandeswari, J., & Chelliah, P. R. (2022). Identification of trustworthy cloud services: solution approaches and research directions to build an automated cloud broker. Computing, 104(1), 43–72. https://doi.org/10.1007/s00607-021-01015-8
Nadkarni, S., & Prügl, R. (2021). Digital transformation: a review, synthesis and opportunities for future research. Management Review Quarterly, 71(2), 233–341. https://doi.org/10.1007/s11301-020-00185-7
Narantuya, J., Zang, H., & Lim, H. (2018). Service-aware cloud-to-cloud migration of multiple virtual machines. IEEE Access, 6, 76663–76672. https://doi.org/10.1109/ACCESS.2018.2882651
Nookhong, J., & Nilsook, P. (2017). System Architecture for Green University Resource Planning on Cloud Computing. In International Journal of the Computer, the Internet and Management (Vol. 25, Issue 2). https://www.researchgate.net/publication/320957966
Pal, D., Khethavath, P., Thomas, J. P., & Mangla, U. (2022). KeyPIn – mitigating the free rider problem in the distributed cloud based on Key, Participation, and Incentive. Journal of Cloud Computing, 11(1), 8. https://doi.org/10.1186/s13677-022-00280-y
Priya, A. S. B., & Bhuvaneswaran, R. S. (2020). Cloud service recommendation system based on clustering trust measures in multi-cloud environment. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-020-02368-2
Qiu, C., Yao, H., Jiang, C., Guo, S., & Xu, F. (2022). Cloud Computing Assisted Blockchain-Enabled Internet of Things. IEEE Transactions on Cloud Computing, 10(1), 247–257. https://doi.org/10.1109/TCC.2019.2930259
Ramamoorthy, S., Ravikumar, G., Saravana Balaji, B., Balakrishnan, S., & Venkatachalam, K. (2021). MCAMO: multi constraint aware multi-objective resource scheduling optimization technique for cloud infrastructure services. Journal of Ambient Intelligence and Humanized Computing, 12(6), 5909–5916. https://doi.org/10.1007/s12652-020-02138-0
Rijswijk, K., Klerkx, L., Bacco, M., Bartolini, F., Bulten, E., Debruyne, L., Dessein, J., Scotti, I., & Brunori, G. (2021). Digital transformation of agriculture and rural areas: A socio-cyber-physical system framework to support responsibilisation. Journal of Rural Studies, 85, 79–90. https://doi.org/10.1016/j.jrurstud.2021.05.003
Rismanto, R., Dien, H. E., Darmawan, S. W., Studi, P., Informatika, T., Informasi, J. T., & Malang, P. N. (2021). Rekomendasi e-Book pada Digital Repository Rumah Sakit Umum Universitas Kristen Indonesia dengan menggunakan Metode VIKOR. Seminar Informatika Aplikatif Polinema, 95-99.
Serafin-Prusator, E., & Tarkowski, M. (2021). Incomplete Architectural Projects-a Digital Repository Based on the OMEKA System.
Sheng, H., & Qi, X. (2022). Application of new digital signal processing technology based on distributed cloud computing in electronic information engineering. Future Generation Computer Systems, 128, 443–450. https://doi.org/10.1016/j.future.2021.10.032
Starzynska, B., & Klembalska, A. (2021). A digital repository of science assets as a tool for knowledge transfer to manufacturing enterprises. Management and Production Engineering Review, 12(2), 115–123. https://doi.org/10.24425/mper.2021.137684
Suleman, H. (2019). Reflections on Design Principles for a Digital Repository in a Low Resource Environment. http://dl.cs.uct.ac.za/
Unesco. (2008). Strategy Framework for promoting ICT literacy in the Asia-Pacific region. Bangkok: Unesco Bangkok.
Vaska, S., Massaro, M., Bagarotto, E. M., & Dal Mas, F. (2021). The Digital Transformation of Business Model Innovation: A Structured Literature Review. In Frontiers in Psychology (Vol. 11). Frontiers Media S.A. https://doi.org/10.3389/fpsyg.2020.539363
Venkateswaran, N., Shekhar, A., Changder, S., & Debnath, N. C. (2019). Using machine learning for intelligent shard sizing on the cloud. 7(1), 109–124. http://pen.ius.edu.ba
Wang, H., Shen, H., Li, Z., & Tian, S. (2021). GeoCol: A geo-distributed cloud storage system with low cost and latency using reinforcement learning. Proceedings - International Conference on Distributed Computing Systems, 2021-July, 149–159. https://doi.org/10.1109/ICDCS51616.2021.00023
Yan, S., He, L., Seo, J., & Lin, M. (2021). Concurrent Healthcare Data Processing and Storage Framework Using Deep-Learning in Distributed Cloud Computing Environment. IEEE Transactions on Industrial Informatics, 17(4), 2794–2801. https://doi.org/10.1109/TII.2020.3006616
Ye, Q., & Sun, Z. (2021). Lightweight RFID Authentication Protocol for Cloud Services using PUF Encryption. 5629–5634. https://doi.org/10.1109/ccdc52312.2021.9602061
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 International Journal of Educational Communications and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.