Anisha Estherita, S. and Vasantha, S. (2024) Fostering employee engagement and knowledge sharing through artificial intelligence. Salud, Ciencia y Tecnología - Serie de Conferencias, 3. p. 897. ISSN 2953-4860
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Abstract
Fostering employee engagement and knowledge sharing through artificial intelligence S. Anisha Estherita https://orcid.org/0000-0001-7765-959X S. Vasantha https://orcid.org/0000-0003-2087-1340
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
01 01 2024 897 https://creativecommons.org/licenses/by/4.0 10.56294/sctconf2024897 https://conferencias.ageditor.ar/index.php/sctconf/article/view/873 https://conferencias.ageditor.ar/index.php/sctconf/article/download/873/131 https://conferencias.ageditor.ar/index.php/sctconf/article/download/873/131 https://conferencias.ageditor.ar/index.php/sctconf/article/download/873/132 10.1108/JOEPP-08-2014-0042 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 10.5465/256995 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 10.1108/JKM-11-2012-0369 Amayah A. Determinants of knowledge sharing in a public-sector organization. Journal of Knowledge Management. 2013; 17(3): 454–471 10.5465/1556355 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 10.5539/ijbm.v4n9p145 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 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 10.4324/9780203894712 Bali RK, Wickramasinghe N, Lehaney B. Knowledge management primer. Routledge; 2009 Sep 10 10.25300/MISQ/2013/37:2.3 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 10.2307/25148669 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 10.1080/08963568.2015.1044355 Brynjolfsson E, McAfee A. The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company; 2014 Jan 20 10.1177/0894439320979953 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 10.1016/j.caeai.2020.100002 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 10.3389/fpsyg.2020.560594 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 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 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 10.1080/09585192.2022.2085525 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 10.1037/a0012716 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 10.2139/ssrn.3835211 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 10.1098/rsta.2016.0360 374(2083): 20160112. https://doi.org/10.1098/rsta.2016.0360 10.3390/su11236574 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 10.1016/0030-5073(76)90016-7 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 10.1080/02678370802379432 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 10.1037//0021-9010.87.2.268 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 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 10.1147/SJ.1999.5387096 Henderson JC, Venkatraman H. Strategic alignment: Leveraging information technology for transforming organizations. IBM systems journal. 1999; 38(2.3): 472-484 10.1177/1534484303257985 Ipe M. Knowledge sharing in organizations: A conceptual framework. Human resource development review. 2003 Dec; 2(4): 337-359 10.1016/j.compedu.2023.104898 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 10.5465/256287 Kahn WA. Psychological conditions of personal engagement and disengagement at work. Academy of management journal. 1990 Dec 1; 33(4): 692-724 Kangasniemi M, Kankanhalli M. Digital transformation: A review and research agenda. Journal of Information Technology. 2019; 34(4): 539-551 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 10.1109/ICCV.2019.00198 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 10.1111/j.1754-9434.2007.0002.x Macey WH, Schneider B. The meaning of employee engagement. Industrial and organizational Psychology. 2008 Mar; 1(1): 3-30 10.1017/CBO9780511809071 Manning CD, Raghavan P, Schütze H. Introduction to information retrieval. Cambridge university press; 2008 Jul 7 10.5465/amj.2016.0594 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 10.1093/oso/9780195092691.001.0001 Nonaka I, Takeuchi H. The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press. 1995 10.1002/smj.2410 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 Quinn RE. Diagnosing and changing organizational culture: Based on the competing values framework. Jossey-Bass. 2011 10.1007/978-1-4899-7637-6_1 Ricci F, Rokach L, Shapira B. Recommender systems: introduction and challenges. Recommender systems handbook. 2015: 1-34 10.1023/A:1015630930326 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 10.1371/journal.pone.0232658 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 Smith HA, McKeen JD. Instilling a knowledge-sharing culture. Queen’s Centre for Knowledge-Based Enterprises. 2003 Mar; 20(1): 1-7 10.1108/IJOA-12-2020-2558 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 10.1109/TPC.2011.2121630 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 10.1080/09585192.2013.798921 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 10.5465/amr.1978.4305791 Tushman ML, Nadler DA. Information processing as an integrating concept in organizational design. Academy of management review. 1978 Jul 1; 3(3): 613-624 10.4324/9781003112150-13 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 10.2307/25148667 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 Willcocks LP, Lacity M, Craig A. The IT function and robotic process automation. 2015 10.1016/j.jvb.2008.11.003 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 Zapanta T. The impact of AI on Business. Micro Sourcing. 2023. https://www.microsourcing.com/learn/blog/the-impact-of-ai-on-business/ 10.1109/CVPRW56347.2022.00309 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 10.1145/3285029 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 10.4236/jss.2017.53006 Zheng T. A literature review on knowledge sharing. Open Journal of Social Sciences. 2017 Mar 13; 5(3): 51-58 10.51983/ijiss-2023.13.2.3786 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 10.58346/JISIS.2024.I1.003 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 10.58346/JOWUA.2023.I2.007 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
Item Type: | Article |
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Subjects: | Management Studies > Financial Management |
Divisions: | Management Studies |
Depositing User: | Mr IR Admin |
Date Deposited: | 06 Oct 2024 07:09 |
Last Modified: | 06 Oct 2024 07:09 |
URI: | https://ir.vistas.ac.in/id/eprint/8882 |