Fostering employee engagement and knowledge sharing through artificial intelligence
DOI:
https://doi.org/10.56294/sctconf2024897Keywords:
Artificial Intelligence, Employee Engagement, Knowledge Sharing, TechnologyAbstract
Artificial Intelligence is the field that growing at a rapid pace which involves the development of intelligent machines that perform tasks with the aid of human intelligence. The implementation of Artificial Intelligence has led to significant advancements in various business fields. It has the potential to transform the businesses and improve the process in many ways. Knowledge is the vital asset of any person, while its shared, it becomes an asset for many. Sharing of knowledge involves the exchange of information and expertise among the individuals in an organization. Knowledge sharing can help organizations to identify and the address problems effectively and swiftly. Engaging employee in an organization becomes a vital aspect for organizational productivity and organizational success as well. Once when an employee becomes emotionally attached to their organization, they feel responsible about their work and will work with involvement. Artificial Intelligence has the potential to promote employee engagement and knowledge sharing. Through personalized learning and development opportunities, it fosters employee engagement, whereas through real-time communication and collaboration technologies it facilitates knowledge sharing within the organization. This review article aims at discovering how Artificial Intelligence facilitates sharing of knowledge and engaging employees in the organization by undertaking a secondary method of data collection. This review article's primary goal is to add to the body of knowledge already available on the subject. The study found that adoption of Artificial Intelligence creates work environments that maximize knowledge sharing and enhances employee engagement
References
1. Albrecht SL, Bakker AB, Gruman JA, Macey WH, Saks AM. Employee engagement, human resource management practices and competitive advantage: An integrated approach. Journal of organizational effectiveness: People and performance. 2015 Mar 9; 2(1): 7-35.
2. Amabile TM, Conti R, Coon H, Lazenby J, Herron M. Assessing the work environment for creativity. Academy of management journal. 1996 Oct 1; 39(5): 1154-1184.
3. Amayah A. Determinants of knowledge sharing in a public-sector organization. Journal of Knowledge Management. 2013; 17(3): 454–471.
4. Anderson LM, Bateman TS. Individual environmental initiative: Championing natural environmental issues in US business organizations. Academy of Management journal. 2000 Aug 1; 43(4): 548-570.
5. Bakhshi A, Kumar K, Rani E. Organizational justice perceptions as predictor of job satisfaction and organization commitment. International journal of Business and Management. 2009 Sep; 4(9): 145-54.
6. Bakker S, Laaouar N. An exploratory case study on the opportunities of how Artificial Intelligence can contribute to reduce the communication gap and streamline the distribution of resources. 2022.
7. Bali RK, Wickramasinghe N, Lehaney B. Knowledge management primer. Routledge; 2009 Sep 10.
8. Bharadwaj A, El Sawy OA, Pavlou PA, Venkatraman NV. Digital business strategy: toward a next generation of insights. MIS quarterly. 2013 Jun 1: 471-482.
9. Bock GW, Zmud RW, Kim YG, Lee JN. Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological forces, and organizational climate. MIS quarterly. 2005 Mar 29(1): 87-111. https://doi.org/10.2307/25148669
10. Brynjolfsson E, McAfee A. The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company; 2014 Jan 20.
11. Campion A, Gasco-Hernandez M, Jankin Mikhaylov S, Esteve M. Overcoming the challenges of collaboratively adopting artificial intelligence in the public sector. Social Science Computer Review. 2022 Apr; 40(2): 462-477.
12. Chen X, Xie H, Zou D, Hwang GJ. Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence. 2020 Jan 1; 1: 100002. https://doi.org/10.1016/j.caeai.2020.100002
13. Chen L, Luo F, Zhu X, Huang X, Liu Y. Inclusive leadership promotes challenge-oriented organizational citizenship behavior through the mediation of work engagement and moderation of organizational innovative atmosphere. Frontiers in Psychology, 2020; 11: 560594.
14. Davenport TH, Westerman G. Why so many high-profile digital transformations fail. Harvard Business Review. 2018 Mar 9; 9(4): 15. https://hbr.org/2018/03/why-so-many-high-profile-digital-transformations-fail.
15. Davenport TH, Harris JG, Jones GL, Lemon KN, Norton D, McCallister MB. The dark side of customer analytics. Harvard business review. 2007; 85(5): 37.
16. Dutta D, Mishra SK, Tyagi D. Augmented employee voice and employee engagement using artificial intelligence-enabled chatbots: a field study. The International Journal of Human Resource Management. 2023 Jul 4; 34(12): 2451-2480.
17. Eisenbeiss SA, Van Knippenberg D, Boerner S. Transformational leadership and team innovation: integrating team climate principles. Journal of applied psychology. 2008 Nov; 93(6): 1438–1446.
18. Floridi L. Faultless responsibility: On the nature and allocation of moral responsibility for distributed moral actions. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2016 Dec 28; 374(2083): 20160112. https://doi.org/10.1098/rsta.2016.0360
19. Gao J, Huang X, Zhang L. Comparative analysis between international research hotspots and national-level policy keywords on artificial intelligence in China from 2009 to 2018. Sustainability, 2019; 11(23): 6574.
20. Hackman JR, Oldham GR. Motivation through the design of work: Test of a theory. Organizational behavior and human performance. 1976 Aug 1; 16(2): 250-279.
21. Hakanen JJ, Schaufeli WB, Ahola K. The Job Demands-Resources model: A three-year cross-lagged study of burnout, depression, commitment, and work engagement. Work & stress. 2008 Jul 1; 22(3): 224-241.
22. Harter JK, Schmidt FL, Hayes TL. Business-unit-level relationship between employee satisfaction, employee engagement, and business outcomes: a meta-analysis. Journal of applied psychology. 2002 Apr; 87(2): 268-279.
23. He H, Li Y, Harris L, Liu S. Social Media and Employee Voice: The Current Landscape and Future Research Agenda. Human Resource Management Review. 2019; 29(1): 9-24.
24. Henderson JC, Venkatraman H. Strategic alignment: Leveraging information technology for transforming organizations. IBM systems journal. 1999; 38(2.3): 472-484.
25. Ipe M. Knowledge sharing in organizations: A conceptual framework. Human resource development review. 2003 Dec; 2(4): 337-359.
26. Jeon J, Lee S, Choe H. Beyond ChatGPT: A conceptual framework and systematic review of speech-recognition chatbots for language learning. Computers & Education. 2023: 104898.
27. Kahn WA. Psychological conditions of personal engagement and disengagement at work. Academy of management journal. 1990 Dec 1; 33(4): 692-724.
28. Kangasniemi M, Kankanhalli M. Digital transformation: A review and research agenda. Journal of Information Technology. 2019; 34(4): 539-551.
29. Kaur A, Bansal D. Predictive Analysis for Employee Engagement using Machine Learning and Artificial Intelligence. 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, India, 2020.
30. Li H, Zhang H, Qi X, Yang R, Huang G. Improved techniques for training adaptive deep networks. In Proceedings of the IEEE/CVF international conference on computer vision. 2019: 1891-1900.
31. Macey WH, Schneider B. The meaning of employee engagement. Industrial and organizational Psychology. 2008 Mar; 1(1): 3-30.
32. Manning CD, Raghavan P, Schütze H. Introduction to information retrieval. Cambridge university press; 2008 Jul 7.
33. Miron-Spektor E, Ingram A, Keller J, Smith WK, Lewis MW. Micro foundations of organizational paradox: The problem is how we think about the problem. Academy of management journal. 2018 Feb; 61(1): 26-45.
34. Nonaka I, Takeuchi H. The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press. 1995.
35. Ortiz‐de‐Mandojana N, Bansal P. The long‐term benefits of organizational resilience through sustainable business practices. Strategic management journal. 2016 Aug; 37(8): 1615-1631.
36. Quinn RE. Diagnosing and changing organizational culture: Based on the competing values framework. Jossey-Bass. 2011.
37. Ricci F, Rokach L, Shapira B. Recommender systems: introduction and challenges. Recommender systems handbook. 2015: 1-34.
38. Schaufeli WB, Salanova M, González-Romá V, Bakker AB. The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness studies. 2002 Mar; 3: 71-92.
39. Shi G, Ma Z, Feng J, Zhu F, Bai X, Gui B. The impact of knowledge transfer performance on the artificial intelligence industry innovation network: An empirical study of Chinese firms. PloS one. 2020; 15(5): e0232658.
40. Smith HA, McKeen JD. Instilling a knowledge-sharing culture. Queen’s Centre for Knowledge-Based Enterprises. 2003 Mar; 20(1): 1-7.
41. Sundaresan S, Zhang Z. AI-enabled knowledge sharing and learning: redesigning roles and processes. International journal of organizational analysis. 2022 Jun 17; 30(4): 983-999.
42. Sutanto J, Kankanhalli A, Tan BC. Deriving IT-mediated task coordination portfolios for global virtual teams. IEEE Transactions on Professional Communication. 2011 May 23; 54(2): 133-151.
43. Truss C, Shantz A, Soane E, Alfes K, Delbridge R. Employee engagement, organisational performance and individual well-being: exploring the evidence, developing the theory. The international journal of human resource management. 2013; 24(14): 2657-2669.
44. Tushman ML, Nadler DA. Information processing as an integrating concept in organizational design. Academy of management review. 1978 Jul 1; 3(3): 613-624.
45. Wang X, Zhang X, Cheng Y, Tian F, Chen K, de Pablos PO. Artificial intelligence-enabled knowledge management. The Routledge Companion to Knowledge Management. 2022 May 22: 153-168.
46. Wasko MM, Faraj S. Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly. 2005 Mar; 29(1): 35-57.
47. Willcocks LP, Lacity M, Craig A. The IT function and robotic process automation. 2015.
48. Xanthopoulou D, Bakker AB, Demerouti E, Schaufeli WB. Reciprocal relationships between job resources, personal resources, and work engagement. Journal of Vocational behavior. 2009 Jun 1; 74(3): 235-244.
49. Zapanta T. The impact of AI on Business. Micro Sourcing. 2023. https://www.microsourcing.com/learn/blog/the-impact-of-ai-on-business/
50. Zhang H, Wu C, Zhang Z, Zhu Y, Lin H, Zhang Z, Smola A. Resnest: Split-attention networks. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2022: 2736-2746.
51. Zhang S, Yao L, Sun A, Tay Y. Deep learning based recommender system: A survey and new perspectives. ACM computing surveys (CSUR). 2019; 52(1): 1-38.
52. Zheng T. A literature review on knowledge sharing. Open Journal of Social Sciences. 2017 Mar 13; 5(3): 51-58.
53. Prasad Babu P, Vasumathi A. Role of Artificial Intelligence in Project Efficiency Mediating with Perceived Organizational Support in the Indian IT Sector. Indian Journal of Information Sources and Services (IJISS). 2023; 13(2): 39–45.
54. Jyothi V, Tammineni S, Thiyagu TM, Sowndharya R, Arvinth N. A Data Management System for Smart Cities Leveraging Artificial Intelligence Modeling Techniques to Enhance Privacy and Security. Journal of Internet Services and Information Security (JISIS). 2024; 14(1): 37-51.
55. Solikin I, Darmawan D. Impact of Artificial Intelligence in Improving the Effectiveness of Accounting Information Systems. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JOWUA). 2023; 14(2): 82-93.
Published
Issue
Section
License
Copyright (c) 2024 S. Anisha Estherita, S. Vasantha (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.