ANVESHAK-International Journal of Management

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

The Role of Habit-Technology Fit on Employees’ Acceptance of Knowledge Management in Bangladesh


Affiliations
1 Wuhan University of Technology, China
2 Department of Marketing, Jagannath University, Dhaka, Bangladesh
3 School of Management, Wuhan University of Technology, China
     

   Subscribe/Renew Journal


Achievement of KMS practice in a country can be determined by employee's acceptance of Knowledge Management Systems (KMS) though exiting literature on the field of a knowledge management system has concentrated on various practices and implementation issues of the system in an organization. There is still a lack of a comprehensive review for the critical factors that influences on KMS adoption by the employee. This paper tries to identify the factors that lead to the acceptance of knowledge management systems by extended UTAUT model. The proposed research model is tested based on the data collected from 250 respondents through partial least square (PLS) method. The research findings showed that performance expectancy and effort expectancy have significant influence on behaviour intention except social influence. The empirical study also revealed that behavioural intention's key determined employees' use of KMS but facilitating condition does not determine employees' use of KMS. Moreover, the results confirm the importance of habit-technology fit on usage's behaviour of KMS. The findings of this study will enrich the KMS adoption literature and will also help Bangladeshi organization policy maker to take proper initiative to put emphasis on this specific area to motivate the Bangladeshi employee to adopt more KMS. As a result, employees can use KMS frequently.

Keywords

UTAUT Model, Habit-Technology Fit, Behavioural Intention, Usages Behaviour, KMS.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Abdullah, M., Khanam, L. and Appasamy, S. (2016), “The Influence of Website Quality on m-banking Services Adoption in Bangladesh: Applying the UTAUT2 Model using PLS”.

  • Abiagam, B. and Usoro, A. (2012), “Knowledge Management Adoption and Culture in the Hospitality Industry of Nigeria”, Computing & Information Systems, Vol. 16.

  • Ahlemann, F. (2010), “Structural Equation Modeling in Information Systems Research using Partial Least Squares”, Journal of Information Technology Theory and Application, Vol. 11, pp. 5–40.

  • Ajzen, I. (1985), “From Intentions to Actions: A Theory of Planned Behavior”, Springer.

  • Ajzen, I. and Fishbein, M. (1980), Understanding Attitudes and Predicting Social Behaviour.

  • Akhavan, P., Jafari, M. and Fathian, M. (2006), “Critical Success Factors of Knowledge Management Systems: A Multi-case Analysis”, European Business Review, Vol. 18, pp. 97–113.

  • AL-Gahtani, S.S., Hubona, G.S. and Wang, J. (2007), “Information Technology (IT) in Saudi Arabia: Culture and the Acceptance and Use of IT”, Information & Management, Vol. 44, pp. 681–691.

  • AL Mursalin, M.J. (2012), “Information System Adoption and Usage: Validating UTAUT Model for Bangladeshi SMEs”, International Journal of Management, IT and Engineering, Vol. 2, No. 1.

  • Alavi, M. and Leider, D. (1999), “Knowledge Management Systems: Emerging Views and Practices from the Field”, Systems Sciences, (1999) HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference, IEEE, p. 8.

  • Alavi, M. and Leidner, D.E. (2001), “Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues”, MIS Quarterly, pp. 107–136.

  • Alawadhi, S. and Morris, A. (2008), “The Use of the UTAUT Model in the Adoption of E-government Services in Kuwait”, Hawaii International Conference on System Sciences, Proceedings of the 41st Annual, IEEE, pp. 219–219.

  • Alazzam, M.B., Basari, A., Sibghatullah, A.S., Doheir, M., Enaizan, O. and Mamra, A. (2015), “EHRS Acceptance in Jordan Hospitals by Utaut2 Model: Preliminary Result”, Journal of Theoretical and Applied Information Technology, Vol. 78.

  • Barki, H., Titah, R. and Boffo, C. (2007), “Information System Use-related Activity: An Expanded Behavioral Conceptualization of Individual-level Information System Use”, Information Systems Research, Vol. 18, pp. 173–192.

  • Bilbao-Osorio, B., Dutta, S. and Lanvin, B. (2014), “The Global Information Technology Report 2014”, In: Bilbao-Osorio, B. (ed.). Bruno Lanvin, INSEAD: Soumitra Dutta, Cornell University.

  • Cheung, C. and Limayem, M. (2005), “The Role of Habit in Information Systems Continuance: Examining the Evolving Relationship Between Intention and Usage”, ICIS 2005 Proceedings, Vol. 39.

  • Chin, W.W. (1998), “The Partial Least Squares Approach to Structural Equation Modeling”, Modern Methods for Business Research, Vol. 295, pp. 295–336.

  • Davenport, T.H., De Long, D.W. and Beers, M.C. (1998), “Successful Knowledge Management Projects”, Sloan Management Review, Vol. 39, pp. 43–57.

  • Davis, F.D. (1989), “Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology”, MIS Quarterly, Vol. 13, pp. 319–340.

  • Dictionaries, O. (2010), Oxford Dictionaries, Oxford University Press, http://oxforddictionaries. com/definition/english/VAR. Accessed Oct, 15, 2012.

  • El-Gayar, O.F. and Moran, M. (2006), “College Students’ Acceptance of Tablet PCs: An Application of the UTAUT Model”, Dakota State University, 820.

  • El-Khatib, R. and Barki, H. (2012), “The Relationship between Habit and Intention in Post-Adoptive is Acceptance”.

  • Hair, Jr, J.F., Sarstedt, M., Hopkins, L. and Kuppelwieser, V.G. (2014), “Partial Least Squares Structural Equation Modeling (PLS-SEM) An Emerging Tool in Business Research”, European Business Review, Vol. 26, pp. 106–121.

  • Gallupe, B. (2001), “Knowledge Management Systems: Surveying the Landscape”, International Journal of Management Reviews, Vol. 3, pp. 61–77.

  • Goodhue, D.L. and Thompson, R.L. (1995), “Task-technology Fit and Individual Performance”, MIS Quarterly, pp. 213–236.

  • Gupta, B., Dasgupta, S. and Gupta, A. (2008), “Adoption of ICT in a Government Organization in a Developing Country: An Empirical Study”, The Journal of Strategic Information Systems, Vol. 17, pp. 140–154.

  • Henseler, J., Ringle, C.M. and Sinkovics, R.R. (2009), “The Use of Partial Least Squares Path Modeling in International Marketing”, Advances in International Marketing (AIM), Vol. 20, pp. 277–320.

  • Hoque, M.R., Ali, M.A. and Mahfuz, M.A. (2015), “An Empirical Investigation on the Adoption of E-Commerce in Bangladesh”, Asia Pacific Journal of Information Systems, Vol. 25, pp. 1–24.

  • Im, I., Hong, S. and Kang, M.S. (2011), “An International Comparison of Technology Adoption: Testing the UTAUT Model”, Information & Management, Vol. 48, pp. 1–8.

  • Imran, A. (2009), “Knowledge and Attitude, the Two Major Barriers to ICT Adoption in LDC are the Opposite Side of a Coin; An Empirical Evidence from Bangladesh”, System Sciences, HICSS '09, 42nd Hawaii International Conference on, IEEE, pp. 1–10.

  • Islam, M.M. and Alam, M.A. (2012), “Managers’ Awareness of Prospective Impact of Knowledge Management in the Workplace: A Case Study”, ASA University Review, Vol. 6, pp. 261–271.

  • Jiang, F. and Kim, K.A. (2015), “Corporate Governance in China: A Modern Perspective”, Journal of Corporate Finance, Vol. 32, pp. 190–216.

  • Kale, D. and Little, S. (2005), “Knowledge Generation in Developing Countries: A Theoretical Framework for Exploring Dynamic Learning in High Technology Firms”, Electronic Journal of Knowledge Management, Vol. 3, pp. 87–96.

  • Keong, M.L., Ramayah, T., Kurnia, S. and Chiun, L.M. (2012), “Explaining Intention to Use an Enterprise Resource Planning (ERP) System: An Extension of the UTAUT Model”, Business Strategy Series, Vol. 13, pp. 173–180.

  • Khanam, L., Uddin, M.A. and Mahfuz, M.A. (2015), “Students’ Behavioral Intention and Acceptance of E-Recruitment System: A Bangladesh Perspective”.

  • Khechine, H., Lakhal, S., Pascot, D. and Bytha, A. (2014), “UTAUT Model for Blended Learning: The Role of Gender and Age in the Intention to Use Webinars”, Interdisciplinary Journal of E-Learning and Learning Objects, Vol. 10, pp. 33–52.

  • Koenig, M.E.D. (2012), “What is KM? Knowledge Management Explained”, [Online]. Available: http://www.kmworld.com/Articles/Editorial/What-Is-.../What-is-KM-Knowledge-Management-Explained-82405.aspx[Accessed].

  • Kristof-brown, A.L. and Billsberry, J. (2012), Organizational Fit: Key Issues and New Directions, John Wiley & Sons.

  • Lee Endres, M., Endres, S.P., Chowdhury, S.K. and Alam, I. (2007), “Tacit Knowledge Sharing, Self-efficacy Theory and Application to the Open Source Community”, Journal of Knowledge Management, Vol. 11, pp. 92–103.

  • Limayem, M., Hirt, S.G. and Cheung, C.M. (2007), “How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance”, Mis Quarterly, pp. 705–737.

  • Lin, W.S. (2012), “Perceived Fit and Satisfaction on Web Learning Performance: IS Continuance Intention and Task-technology Fit Perspectives”, International Journal of Human-Computer Studies, Vol. 70, pp. 498–507.

  • Me, A. (2012), “Towards a UTAUT-based Model for the Study of E-Government Citizen Acceptance in Saudi Arabia”.

  • Nasri, W. (2011), “Factors Influencing the Adoption of Internet Banking in Tunisia”, International Journal of Business and Management, Vol. 6, p. 143.

  • Nassuora, A.B. (2011), “Knowledge Sharing in Institutions of Higher Learning”, International Journal of Economics and Management Sciences, Vol. 1, pp. 29–36.

  • Nonaka, I., Byosiere, P., Borucki, C.C. and Konno, N. (1994), “Organizational Knowledge Creation Theory: A First Comprehensive Test”, International Business Review, Vol. 3, pp. 337–351.

  • Oye, N., Iahad, N. and Nor, Z.A.R. (2012), “The Impact of UTAUT Model and ICT Theoretical Framework on University Academic Staff: Focus on Adamawa State University, Nigeria”, International Journal of Computers & Technology, Vol. 2.

  • Peng, D.X. and Lai, F. (2012), “Using Partial Least Squares in Operations Management Research: A Practical Guideline and Summary of Past Research”, Journal of Operations Management, Vol. 30, pp. 467–480.

  • Prasanna, R. and Huggins, T.J. (2016), “Factors Affecting the Acceptance of Information Systems Supporting Emergency Operations Centres”, Computers in Human Behavior, Vol. 57, pp. 168–181.

  • Rowley, J. (2000), “Is Higher Education Ready for Knowledge Management?”, International Journal of Educational Management, Vol. 14, pp. 325–333.

  • Sanchez-Acenjo Carrillo, L. (2014), “Habits and Technology Fit: A Study of Technology Acceptance”.

  • Sargent, K., Hyland, P. and Sawang, S. (2012), “Factors Influencing the Adoption of Information Technology in a Construction Business”, Construction Economics and Building, Vol. 12, p. 86.

  • Schwab, K. and Salamartín, X. (2015), World Economic Forum’s Global Competitiveness Report, 2014–2015. Retrived from.

  • Sekaran, U. (2006), “Research Methods for Business: A Skill Building Approach”, John Wiley & Sons.

  • Sharifian, R., Askarian, F., Nematolahi, M. and Farhadi, P. (2014), “Factors Influencing Nurses' Acceptance of Hospital Information Systems in Iran: Application of the Unified Theory of Acceptance and Use of Technology”, Health Information Management Journal, Vol. 43, p. 23.

  • Shibl, R., Lawley, M. and Debuse, J. (2013), “Factors Influencing Decision Support System Acceptance”, Decision Support Systems, Vol. 54, pp. 953–961.

  • Siddike, M., Kalam, A. and Munshi, M.N. (2012), “Perceptions of Information Professionals about Knowledge Management in the Information Institutions of Bangladesh: An Exploratory Study”.

  • Sillah, A. and Chang, W.W. (2014), “Knowledge Management Adoption and the Role of HRM: Evidence from The Gambia Public Organizations”, International Conference on Economics, Education and Humanities (ICEEH'14), Bali (Indonesia).

  • Venkatesh, V. and Bala, H. (2008), “Technology Acceptance Model 3 and a Research Agenda on Interventions”, Decision Sciences, Vol. 39, pp. 273–315.

  • Venkatesh, V. and Davis, F.D. (2000), “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies”, Management Science, Vol. 46, pp. 186–204.

  • Venkatesh, V., Morris, D., Michael G. and D.A.F.D., Gordon B. (2003), “User Acceptance of Information Technology: Toward a Unified View”, MIS Quarterly, Vol. 27, pp. 425–478.

  • Venkatesh, V., Thong, J.Y. and Xu, X. (2012), “Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology”, MIS Quarterly, Vol. 36, pp. 157–178.

  • Wong, K.K.K. (2013), “Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques using SmartPLS”, Marketing Bulletin, Vol. 24, pp. 1–32.

  • Xu, J. and Quaddus, M. (2005), “Adoption and Diffusion of Knowledge Management Systems: An Australian Survey”, Journal of Management Development, Vol. 24, pp. 335–361.

  • Xu, J. and Quaddus, M. (2013), “Exploring the Role of Size in Use Behaviour of Knowledge Management System: An Australian Study”, The International Technology Management Review, Vol. 3, pp. 60–70.

  • Yoo, S.J. and Huang, W.H.D. (2014), “Employees’ Acceptance of Knowledge Management Systems and its Impact on Creating Learning Organizations”, Knowledge Management & E-Learning: An International Journal (KM & EL), Vol. 5, pp. 434–454.

  • Zhou, T., Lu, Y. and Wang, B. (2010), “Integrating TTF and UTAUT to Explain Mobile Banking User Adoption”, Computers in Human Behavior, Vol. 26, pp. 760–767.


Abstract Views: 545

PDF Views: 0




  • The Role of Habit-Technology Fit on Employees’ Acceptance of Knowledge Management in Bangladesh

Abstract Views: 545  |  PDF Views: 0

Authors

Liza Khanam
Wuhan University of Technology, China
Mohammad Abdullah Mahfuz
Department of Marketing, Jagannath University, Dhaka, Bangladesh
Qin Yuanjian
School of Management, Wuhan University of Technology, China

Abstract


Achievement of KMS practice in a country can be determined by employee's acceptance of Knowledge Management Systems (KMS) though exiting literature on the field of a knowledge management system has concentrated on various practices and implementation issues of the system in an organization. There is still a lack of a comprehensive review for the critical factors that influences on KMS adoption by the employee. This paper tries to identify the factors that lead to the acceptance of knowledge management systems by extended UTAUT model. The proposed research model is tested based on the data collected from 250 respondents through partial least square (PLS) method. The research findings showed that performance expectancy and effort expectancy have significant influence on behaviour intention except social influence. The empirical study also revealed that behavioural intention's key determined employees' use of KMS but facilitating condition does not determine employees' use of KMS. Moreover, the results confirm the importance of habit-technology fit on usage's behaviour of KMS. The findings of this study will enrich the KMS adoption literature and will also help Bangladeshi organization policy maker to take proper initiative to put emphasis on this specific area to motivate the Bangladeshi employee to adopt more KMS. As a result, employees can use KMS frequently.

Keywords


UTAUT Model, Habit-Technology Fit, Behavioural Intention, Usages Behaviour, KMS.

References





DOI: https://doi.org/10.15410/aijm%2F2017%2Fv6i2%2F149986