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Position Papers of the 18th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 36

Key Factors Affecting Knowledge Sharing in Developed and Developing Countries: a specific focus on Saudi Arabia

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DOI: http://dx.doi.org/10.15439/2023F5821

Citation: Position Papers of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 36, pages 9–16 ()

Full text

Abstract. Knowledge is considered as the most valuable asset in the moderan digital economy and its dissemination is recognized as the backbone of successful enonomies. The dissemination of knowledge is widely recognised as a fundamental practise in any successful organistion including higher education institutes. This practise enables institutions to generate and maintain knowledge. Organisations that foster a culture of knowledge sharing are able to gain a competitive advantage and drive innovation. These organisations contribute to the enhancement of the economy. The Kingdom of Saudi Arabia has implemented strategies to incorporate knowledge-sharing initiatives within its organisations. The primary objective of this paper is to identify the key factors that impact knowledge sharing in both developed and developing nations, with a particular focus on Saudi Arabia and to present our future work of how to deploy Cloud Computing for knowledge sharing in Saudi's HEIs.

References

  1. N. Bontis, “Assessing knowledge assets: a review of the models used to measure intellectual capital,” International journal of management reviews, vol. 3, no. 1, pp. 41–60, 2001. https://doi.org/10.1111/1468-2370.00053
  2. A. Ismail Al‐Alawi, N. Yousif Al‐Marzooqi, and Y. Fraidoon Mohammed, “Organizational culture and knowledge sharing: critical success factors,” Journal of knowledge management, vol. 11, no. 2, pp. 22–42, 2007. https://doi.org/10.1108/13673270710738898
  3. H. Hussinki, A. Kianto, M. Vanhala, and P. Ritala, “Assessing the universality of knowledge management practices,” Journal of Knowledge Management, vol. 21, no. 6, pp. 1596–1621, 2017. https://doi.org/10.1108/JKM-09-2016-0394
  4. M. Mohsin and J. Syed, “Knowledge management in developing economies: A critical review,” The Palgrave Handbook of Knowledge Management, pp. 601–620, 2018.
  5. A. Y. Noaman and F. Fouad, “Knowledge sharing in universal societies of some develop nations,” Int J Acad Res, vol. 6, no. 3, pp. 205–212, 2014.
  6. H. Zhuge, “A knowledge flow model for peer-to-peer team knowledge sharing and management,” Expert Syst Appl, vol. 23, no. 1, pp. 23–30, 2002. https://doi.org/10.1016/S0957-4174(02)00024-6
  7. Z. Gaál, L. Szabó, N. Obermayer-Kovács, and A. Csepregi, “Exploring the role of social media in knowledge sharing,” Electronic Journal of Knowledge Management, vol. 13, no. 3, pp. pp185-197, 2015.
  8. M.-Y. Cheng, J. S.-Y. Ho, and P. M. Lau, “Knowledge sharing in academic institutions: A study of Multimedia University Malaysia.,” Electronic Journal of knowledge management, vol. 7, no. 3, 2009.
  9. M. J. Iqbal, A. Rasli, L. H. Heng, M. B. B. Ali, I. Hassan, and A. Jolaee, “Academic staff knowledge sharing intentions and university innovation capability,” African Journal of Business Management, vol. 5, no. 27, p. 11051, 2011. https://doi.org/10.5897/AJBM11.576
  10. K. K. Jain, M. S. Sandhu, and G. K. Sidhu, “Knowledge sharing among academic staff: A case study of business schools in Klang Valley, Malaysia.” UCSI Centre for Research Excellence, 2007.
  11. G. Jifa, “Data, information, knowledge, wisdom and meta-synthesis of wisdom-comment on wisdom global and wisdom cities,” Procedia Comput Sci, vol. 17, pp. 713–719,2013. https://doi.org/10.1016/j.procs.2013.05.092
  12. C. Zins, “Conceptual approaches for defining data, information, and knowledge,” Journal of the American society for information science and technology, vol. 58, no. 4, pp. 479–493, 2007. https://doi.org/10.1002/asi.20508
  13. “Def.” http://vlibrary.info/InfoLexicon.html (accessed Mar. 04, 2023).
  14. R. Garud, “On the distinction between know-how, know-why, and know-what,” Advances in Strategic Management, vol. 14, pp. 81–101, Jan. 1997.
  15. C. M. Jacobson, “Knowledge sharing between individuals,” in Encyclopedia of Knowledge Management, Second Edition, IGI Global, 2011, pp. 924–934.
  16. M. Asrar-ul-Haq and S. Anwar, “A systematic review of knowledge management and knowledge sharing: Trends, issues, and challenges,” Cogent Business & Management, vol. 3, no. 1, p. 1127744, 2016.  https://doi.org/10.1080/23311975.2015.1127744
  17. R. K. Yeo and J. Gold, “Knowledge sharing attitude and behaviour in Saudi Arabian organisations: why trust matters,” International Journal of Human Resources Development and Management, vol. 14, no. 1–3, pp. 97–118, 2014.
  18. M. Ipe, “Knowledge sharing in organizations: A conceptual framework,” Human resource development review, vol. 2, no. 4, pp. 337–359, 2003. https://doi.org/10.1177/1534484303257985
  19. C. Nielsen and K. Cappelen, “Exploring the mechanisms of knowledge transfer in University‐Industry collaborations: A study of companies, students and researchers,” Higher Education Quarterly, vol. 68, no. 4, pp. 375–393, 2014. https://doi.org/10.1111/hequ.12035
  20. M. Alavi and D. E. Leidner, “Knowledge management and knowledge management systems: Conceptual foundations and research issues,” MIS quarterly, pp. 107–136, 2001. https://doi.org/10.2307/3250961
  21. A. Fengjie, Q. Fei, and C. Xin, “Knowledge sharing and web-based knowledge-sharing platform,” in IEEE International Conference on E-commerce Technology for Dynamic E-business, IEEE, 2004, pp. 278–281. https://doi.org/10.1109/CEC-EAST.2004.43
  22. J. Kuada, “Collaboration between developed and developing country‐based firms: Danish‐Ghanaian experience,” Journal of Business & Industrial Marketing, vol. 17, no. 6, pp. 538–557, 2002. https://doi.org/10.1108/08858620210442866
  23. M. I. Manda and J. Backhouse, “An analysis of the barriers to e-government integration, interoperability and information sharing in developing countries: A systematic review of literature,” in Proceedings of the African Conference in Information Systems and Technology, Accra, Ghana, 2016, pp. 5–6.
  24. H. Alotaibi, R. Crowder, and G. Wills, “Investigating factors for E-knowledge sharing amongst academic staff,” 2014.
  25. V. Cavaliere and S. Lombardi, “Exploring different cultural configurations: how do they affect subsidiaries’ knowledge sharing behaviors?,” Journal of Knowledge Management, vol. 19, no. 2, pp. 141–163, 2015. https://doi.org/10.1108/JKM-04-2014-0167
  26. R. Farooq, “A conceptual model of knowledge sharing,” International Journal of Innovation Science, 2018. https://doi.org/10.1108/IJIS-09-2017-0087
  27. B. Van Den Hooff, A. P. Schouten, and S. Simonovski, “What one feels and what one knows: the influence of emotions on attitudes and intentions towards knowledge sharing,” Journal of knowledge management, vol. 16, no. 1, pp. 148–158, 2012. https://doi.org/10.1108/13673271211198990
  28. G. Tangaraja, R. Mohd Rasdi, M. Ismail, and B. Abu Samah, “Fostering knowledge sharing behaviour among public sector managers: a proposed model for the Malaysian public service,” Journal of knowledge management, vol. 19, no. 1, pp. 121–140, 2015. https://doi.org/10.1108/JKM-11-2014-0449
  29. H. J. Mitchell, “Technology and knowledge management: Is technology just an enabler or does it also add value?,” in Knowledge management: Current issues and challenges, IGI Global, 2003, pp. 66–78.
  30. S. Song, “An internet knowledge sharing system,” Journal of Computer Information Systems, vol. 42, no. 3, pp. 25–30, 2002. https://doi.org/10.1080/08874417.2002.11647499
  31. I. Qureshi, C. Sutter, and B. Bhatt, “The transformative power of knowledge sharing in settings of poverty and social inequality,” Organization Studies, vol. 39, no. 11, pp. 1575–1599, 2018. https://doi.org/10.1177/0170840617727777
  32. J. S. Holste and D. Fields, “Trust and tacit knowledge sharing and use,” Journal of knowledge management, 2010. https://doi.org/10.1108/13673271011015615
  33. K. Niu, “Organizational trust and knowledge obtaining in industrial clusters,” Journal of Knowledge Management, vol. 14, no. 1, pp. 141–155, 2010. https://doi.org/10.1108/13673271011015624
  34. R. M. Al‐Adaileh and M. S. Al‐Atawi, “Organizational culture impact on knowledge exchange: Saudi Telecom context,” Journal of knowledge Management, vol. 15, no. 2, pp. 212–230, 2011. https://doi.org/10.1108/13673271111119664
  35. D. Nakano, J. Muniz Jr, and E. Dias Batista Jr, “Engaging environments: tacit knowledge sharing on the shop floor,” Journal of Knowledge Management, vol. 17, no. 2, pp. 290–306, 2013. https://doi.org/10.1108/13673271311315222
  36. K. Blomkvist, “Knowledge management in MNCs: the importance of subsidiary transfer performance,” Journal of Knowledge Management, vol. 16, no. 6, pp.904–918,2012. https://doi.org/10.1108/13673271211276182
  37. D. McNichols, “Optimal knowledge transfer methods: a Generation X perspective,” Journal of knowledge management, 2010. https://doi.org/10.1108/13673271011015543
  38. W. Lam, “Barriers to e‐government integration,” Journal of Enterprise Information Management, 2005. https://doi.org/10.1108/17410390510623981
  39. S. Panahi, J. Watson, and H. Partridge, “Towards tacit knowledge sharing over social web tools,” Journal of knowledge management, 2013. https://doi.org/10.1108/JKM-11-2012-0364
  40. M. Ranjbarfard, M. Aghdasi, P. López-Sáez, and J. E. N. López, “The barriers of knowledge generation, storage, distribution and application that impede learning in gas and petroleum companies,” Journal of Knowledge Management, 2014. https://doi.org/10.1108/JKM-08-2013-0324
  41. D. Rathi, L. M. Given, and E. Forcier, “Interorganisational partnerships and knowledge sharing: the perspective of non-profit organisations (NPOs),” Journal of Knowledge Management, vol. 18, no. 5, pp. 867–885, 2014. https://doi.org/10.1108/JKM-06-2014-0256
  42. T.-M. Yang and Y.-J. Wu, “Exploring the determinants of cross-boundary information sharing in the public sector: An e-Government case study in Taiwan,” J Inf Sci, vol. 40, no. 5, pp. 649–668, 2014. https://doi.org/10.1177/0165551514538742
  43. R. Zhao and B. Chen, “Study on enterprise knowledge sharing in ESN perspective: a Chinese case study,” Journal of Knowledge Management, vol. 17, no. 3, pp. 416–434, 2013. https://doi.org/10.1108/JKM-12-2012-0375
  44. V. Gururajan and D. Fink, “Attitudes towards knowledge transfer in an environment to perform,” Journal of knowledge Management, vol. 14, no. 6, pp. 828–840,2010. https://doi.org/10.1108/13673271011084880
  45. S. M. Mutula and J. Mostert, “Challenges and opportunities of e‐government in South Africa,” The electronic library, 2010. https://doi.org/10.1108/02640471011023360
  46. A. M. A. Qureshi and N. Evans, “Deterrents to knowledge-sharing in the pharmaceutical industry: a case study,” Journal of Knowledge Management, 2015. https://doi.org/10.1108/JKM-09-2014-0391
  47. M. Ajmal, P. Helo, and T. Kekäle, “Critical factors for knowledge management in project business,” Journal of knowledge management, vol. 14, no. 1, pp. 156–168,2010. https://doi.org/10.1108/13673271011015633
  48. A. Titi Amayah, “Determinants of knowledge sharing in a public sector organization,” Journal of knowledge management, vol. 17, no. 3, pp. 454–471, 2013. https://doi.org/10.1108/JKM-11-2012-0369
  49. J. P. Meyer and L. Herscovitch, “Commitment in the workplace: Toward a general model,” Human resource management review, vol. 11, no. 3, pp. 299–326, 2001. https://doi.org/10.1016/S1053-4822(00)00053-X
  50. A. Newman and A. Z. Sheikh, “Organizational commitment in Chinese small-and medium-sized enterprises: the role of extrinsic, intrinsic and social rewards,” The International Journal of Human Resource Management, vol. 23, no. 2, pp. 349–367, 2012. https://doi.org/10.1080/09585192.2011.561229
  51. S. SamGnanakkan, “Mediating role of organizational commitment on HR practices and turnover intention among ICT professionals,” Journal of management research, vol. 10, no. 1, pp. 39–61, 2010.
  52. M.-Y. Cheng, J. S.-Y. Ho, and P. M. Lau, “Knowledge sharing in academic institutions: A study of Multimedia University Malaysia.,” Electronic Journal of knowledge management, vol. 7, no. 3, 2009.
  53. M.-C. Huang, Y.-P. Chiu, and T.-C. Lu, “Knowledge governance mechanisms and repatriate’s knowledge sharing: the mediating roles of motivation and opportunity,” Journal of knowledge management, vol. 17, no. 5, pp. 677–694, 2013. https://doi.org/10.1108/JKM-01-2013-0048
  54. nsf.gov, “NSF - National Science Foundation,” 2023. https://www.nsf.gov/ (accessed Mar. 06, 2023).
  55. M. & C. M. Kampmann, “Knowledge Sharing Alliance: Facilitating Dialogue for Universal Development,” 2014, Accessed: Mar. 07, 2023. [Online]. Available: www.oecd.org/ knowledge-sharing-alliance
  56. “Forbes,” 2023, Accessed: Mar. 08, 2023. [Online]. Available: https://www.forbes.com/places/saudi-arabia/?sh=a6fedf84e5c1
  57. N. Al Mudawi, “ACCE-GOV: a new theoretical framework for cloud computing adoption for e-government system in developing countries (Saudi Arabia perspective),” University of Sussex, 2021.
  58. S. T. H. Dulayami and L. Robinson, “The individual and the collective: Factors affecting knowledge sharing in Saudi Arabian companies,” Journal of Documentation, vol. 71, no. 1, pp. 198–209, 2015. https://doi.org/10.1108/JD-09-2014-0121
  59. “Vision 2030,” 2023, Accessed: Mar. 08, 2023. [Online]. Available: https://www.vision2030.gov.sa/
  60. F. Ghabban, A. Selamat, and R. Ibrahim, “New model for encouraging academic staff in Saudi universities to use IT for knowledge sharing to improve scholarly publication performance,” Technol Soc, vol. 55, pp. 92–99,2018. https://doi.org/10.1016/j.techsoc.2018.07.001
  61. “Tabadul,” 2023, Accessed: Mar. 07, 2023. [Online]. Available: https://www.elm.sa/en/about/Pages/Tabadul.aspx
  62. S. Q. A.-K. Al-Maliki, “Information and communication technology (ICT) investment in the Kingdom of Saudi Arabia: Assessing strengths and weaknesses,” Journal of Organizational Knowledge Management, vol. 2013, p. 1, 2013. https://doi.org/10.5171/2013.450838
  63. F. Yassin, J. Salim, and N. Sahari, “The influence of organizational factors on knowledge sharing using ICT among teachers,” Procedia technology, vol. 11, pp.272–280,2013. https://doi.org/10.1016/j.protcy.2013.12.191
  64. M. Al-Khalifa, S. Khatoon, A. Mahmood, and I. Fatima, “Factors influencing patients’ attitudes to exchange electronic health information in Saudi Arabia: an exploratory study,” International Journal of Advanced Computer Science and Applications, vol. 7, no. 8, 2016.
  65. D. Chandran and A. M. Alammari, “Influence of culture on knowledge sharing attitude among academic staff in eLearning virtual communities in saudi Arabia,” Information Systems Frontiers, vol. 23, pp. 1563–1572, 2021. https://doi.org/10.1007/s10796-020-10048-x
  66. R. Fullwood and J. Rowley, “An investigation of factors affecting knowledge sharing amongst UK academics,” Journal of Knowledge Management, 2017. https://doi.org/10.1108/JKM-07-2016-0274
  67. F. M. Alsaadi, “Knowledge Sharing Among Academics in Higher Education Institutions in Saudi Arabia,” 2018.
  68. A. N. Tashkandi and I. M. Al-Jabri, “Cloud computing adoption by higher education institutions in Saudi Arabia: an exploratory study,” Cluster Comput, vol. 18, pp. 1527–1537, 2015. https://doi.org/10.1007/s10586-015-0490-4
  69. A. Ali, “Cloud computing adoption at higher educational institutions in the KSA for Sustainable Development,” International Journal of Advanced Computer Science and Applications, vol. 11, no. 3, 2020.
  70. Quentin L. Burrell, “, Isle of Man International Business School, Isle of Man. Definition 7 on p. 481 of Zins, C. (2007). Conceptual Approaches for Defining Data, Information, and Knowledge. JASIST, 58, 479-49,” p. 7, 2023.
  71. Raya Fidel, “, University of Washington, Seattle, WA. Definition 17 on page 483 of Zins, C. (2007). Conceptual Approaches for Defining Data, Information, and Knowledge. JASIST, 58, 479-493.,” 2023.
  72. William Hersh, “, Oregon Health Science University, Portland, OR. Definition 24 on page 484 of Zins, C. (2007). Conceptual Approaches for Defining Data, Information, and Knowledge. JASIST, 58, 479-493,” 2023.
  73. Charles Oppenheim, “, Loughborough University, Leicestershire, UK. Definition 32 on page 485 of Zins, C. (2007). Conceptual Approaches for Defining Data, Information, and Knowledge. JASIST, 58, 479-493.,” 2023.
  74. Richard Smiraglia, “, Long Island University, Brookville, NY. Definition 38 on page 486 of Zins, C. (2007). Conceptual Approaches for Defining Data, Information, and Knowledge. JASIST, 58, 479-493,” 2023.
  75. Anna da Soledade Vieira, “, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. Definition 42 on page 486 of Zins, C. (2007). Conceptual Approaches for Defining Data, Information, and Knowledge. JASIST, 58, 479-493.,” 2023.
  76. Donald Hawkins, “, Information Today, Medford, NJ. Definition 21 on p. 483 of Zins, C. (2007). Conceptual Approaches for Defining Data, Information, and Knowledge. JASIST, 58, 479-493.,” 2023.
  77. Donald Kraft, “, Louisiana State University, Baton Rouge, LA. Definition 25 on p. 484 of Zins, C. (2007). Conceptual Approaches for Defining Data, Information, and Knowledge. JASIST, 58, 479-493.,” 2023.
  78. Aldo de Albuquerque Barreto, “, Brazilian Institute for Information in Science and Technology, Brazil. Definition 3 on p. 480 of Zins, C. (2007). Conceptual Approaches for Defining Data, Information, and Knowledge. JASIST, 58, 479-493.,” 2023.