Employees’ Behavioral Intention to Adopt E-HRM System- An Approach to Extend Technology Acceptance Model

Nishath Anjum; Md. Afsarul Islam

Purpose- This study aims to investigate the Information Technology (IT) sector employees’ behavioral intention towards the adoption of Electronic Human Resource Management (E-HRM) with the help of the Technology Acceptance Model (TAM) in the context of Bangladesh.
Design/methodology/approach- The data for this study was collected through a structured questionnaire from 130 employees of IT sector in Bangladesh. The research model was developed based on the TAM theory with three external variables (organizational resources competency, organizational innovativeness and employee technical competency). The TAM theory extended by showing a direct relationship between organizational innovativeness and behavioral intention to adopt E-HRM. The data is analyzed by using SPSS 25. Multiple regression analysis was employed to examine the predictors and their relationships with behavioral intention to adopt E-HRM.
Findings- The results of the study showed that the respondents have a positive intention towards adopting E-HRM system. All three external variables have different effects on perceived usefulness and perceived ease of use. Most of the relationships are quite significant. Moreover, a strong direct relationship was found between organizational innovativeness and behavioral intention regarding E-HRM adoption.
Research limitations- The dearth of empirical studies and to better understand the factors that influence the intention of employees towards E-HRM adoption in organizations is the main limitation of the study. Thus it is suggested to use more representative variables with a greater sample size in further studies. The study also had a geographical limitation.
Practical implications- The research findings can provide an insight to all those business organizations who are planning to adopt E-HRM system and the human resource managers can use the results as an opportunity to develop HRM functions through E-HRM adoption.
Originality/value- This research contributes to the body of knowledge as it measures the employee intention towards E-HRM adoption by analyzing the influence of several factors thus enabling similar organizations to produce more vigorous proposals for E-HRM adoption.

Agag, G., & El-Masry, A. A. (2016). Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust. Computers in human behavior, 60, 97-111.
Aggarwal, N., & Kapoor, M. (2012). Human resource information systems (HRIS)-Its role and importance in business competitiveness. Gian Jyoti E-Journal, 1(2), 1-13.
Al-Dmour, R. H., & Shannak, R. O. (2012). Determinants of the implementation level of electronic human resources management (E-HRM) in Jordanian shareholding companies. European Scientific Journal, 8(17), 204-235.
Armstrong, B., Fogarty, G. J., Dingsdag, D., & Dimbleby, J. (2005). Validation of a computer user satisfaction questionnaire to measure IS success in small business. Journal of Research and Practice in Information Technology, 37(1), 27-42.
Bal, Y., Bozkurt, S., & Ertemsir, E. (2012). The importance of using human resources information systems (HRIS) and a research on determining the success of HRIS.
Bamel, N., Bamel, U. K., Sahay, V., & Thite, M. (2014). Usage, benefits and barriers of human resource information system in universities. VINE: The journal of information and knowledge management systems.
Bondarouk, T., Parry, E., & Furtmueller, E. (2017). Electronic HRM: four decades of research on adoption and consequences. The International Journal of Human Resource Management, 28(1), 98-131.
Cakmak, A. F., Benk, S., & Budak, T. (2011). The acceptance of tax office automation system (VEDOP) by employees: factorial validation of Turkish adapted Technology Acceptance Model (TAM). International Journal of Economics and Finance, 3(6), 107-116.
Cardy, R. L., & Miller, J. S. (2005). E-HR and performance management: A consideration of positive potential and the dark side. The brave new world of eHR: Human resources management in the digital age, 138-165.
Carlson, J., & O'Cass, A. (2010). Exploring the relationships between e?service quality, satisfaction, attitudes and behaviours in content?driven e?service web sites. Journal of services marketing.
Chen, Y. Y., Huang, H. L., Hsu, Y. C., Tseng, H. C., & Lee, Y. C. (2010). Confirmation of expectations and satisfaction with the Internet shopping: The Role of Internet self-efficacy. Computer and Information Science, 3(3), 14
Chung, N., Han, H., & Joun, Y. (2015). Tourists’ intention to visit a destination: The role of augmented reality (AR) application for a heritage site. Computers in Human Behavior, 50, 588-599.
Crestone, C. (2005). The Cedar Crestone 2005 workforce technologies and service delivery approaches survey. 8th Annual Edition, 8(8).
DA, G. N. (2019). Relationship of Innovation Characteristics on Adoption of Consumer E-Banking in the Context of Top Three Private Commercial Banks in Sri Lanka. ICBI 2019, Kelaniya, 17 October, viewed 21 September 2019.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Dhamija, P. (2012). E-recruitment: a roadmap towards e-human resource management. Researchers World, 3(3), 33.
Dosajh, B., & Sujlana, P. (2012). New e-HRM Model Based on Technology Acceptance Model. Gian Jyoti E-Journal, 1(2), 1-10.
Erdogmus, N., & Esen, M. (2011). An investigation of the effects of technology readiness on technology acceptance in e-HRM. Procedia-Social and Behavioral Sciences, 24, 487-495.
Esen, M., & Ozbag, G. K. (2014). An investigation of the effects of organizational readiness on technology acceptance in e-HRM applications. International Journal of Human Resource Studies, 4(1), 232.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Foster, D., & Cornford, T. (1992). Evaluation of health information systems: Issues, models and case studies, social implications of computers in developing countries.
Fu, J. R., Farn, C. K., & Chao, W. P. (2006). Acceptance of electronic tax filing: A study of taxpayer intentions. Information & Management, 43(1), 109-126.
Gallego, M. D., Luna, P., & Bueno, S. (2008). User acceptance model of open source software. Computers in Human behavior, 24(5), 2199-2216.
Ghorbani, H., & Madani, F. A. (2011). An Empirical Investigation of the Determinants of User Acceptance of Electronic Exchanges (Case Study: Buying and Selling Section of Active Companies of Iran's Textile Industry). International Journal of Marketing Studies, 3(2), 73.
Gloet, M., & Berrell, M. (2003). The dual paradigm nature of knowledge management: implications for achieving quality outcomes in human resource management. Journal of knowledge management.
Guechtouli, M. (2010). E-HRM’s Impact on an Environmental Scanning Process: How Can Technology Support the Selection of Information?. International Journal of Technology and Human Interaction (IJTHI), 6(3), 53-66.
Hahn, S. S., Yoon, J. H., & Kim, J. M. (2014). Extending the technology acceptance model to examine the intention to use tourism applications on smartphone. Korean Academy Society of Hospitality Administration, 23(3), 19-40.
Heikkila, J. P., Brewster, C., & Mattila, J. (2014). Micro-political conflicts and institutional issues during e-HRM implementation in MNCs: A vendor’s view. In Human Resource Management and Technological Challenges (pp. 1-21). Springer, Cham.
Hendrickson, A. R. (2003). Human resource information systems: Backbone technology of contemporary human resources. Journal of Labor Research, 24(3), 381-394.
Ho, C. H. (2010). Continuance intention of e-learning platform: Toward an integrated model. International Journal of Electronic Business Management, 8(3), 206.
Hong, S. J., & Tam, K. Y. (2006). Understanding the adoption of multipurpose information appliances: The case of mobile data services. Information systems research, 17(2), 162-179.
Hong, S., Kim, J., & Lee, H. (2008). Antecedents of use-continuance in information systems: Toward an inegrative view. Journal of Computer Information Systems, 48(3), 61-73.
Hooi, L. W. (2006). Implementing e-HRM: The readiness of small and medium sized manufacturing companies in Malaysia. Asia Pacific Business Review, 12(4), 465-485.
Hosain, S. (2015). Adoption of Proper HRM Practices: A Technique for Retaining Employees and Increasing Firm Performance? Scholar Journal of Business and Social Science, 1(1), 1-14.
Hosain, S., & Rahman, M. D. (2016). Green human resource management: A theoretical overview. IOSR Journal of Business and Management (IOSR-JBM) Volume, 18.
Hurley, R. F., & Hult, G. T. M. (1998). Innovation, market orientation, and organizational learning: an integration and empirical examination. Journal of marketing, 62(3), 42-54.
Hustad, E., & Munkvold, B. E. (2005). IT-supported competence management: A case study at Ericsson. Information Systems Management, 22(2), 78-88.
Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. (1997). Personal computing acceptance factors in small firms: a structural equation model. MIS quarterly, 279-305.
Islam, M. (2016). Evaluating the practices of electronic human resources management (E-HRM) as a key tool of technology driven human resources management function in organizations-a comparative study in public sector and private sector enterprises of Bangladesh. IOSR Journal of Business and Management (IOSR-JBM), 18(11).
Jahan, S. S. (2014). Human resources information system (HRIS): a theoretical perspective. Journal of Human Resource and Sustainability Studies, 2014.
Jaradat, N. (2013). Electronic human resource management: issues and challenges in jordanian universities. Interdisciplinary Journal of Contemporary Research in Business, 4(12), 685-710.
Johnson, R. D., Lukaszewski, K. M., & Stone, D. L. (2016). The evolution of the field of human resource information systems: Co-evolution of technology and HR processes. Communications of the Association for Information Systems, 38(1), 28.
Kim, D. J., Hebeler, J., Yoon, V., & Davis, F. (2018). Exploring determinants of semantic web technology adoption from IT professionals' perspective: Industry competition, organization innovativeness, and data management capability. Computers in Human Behavior, 86, 18-33.
Lee, Y., Lee, J., & Lee, Z. (2006). Social influence on technology acceptance behavior: self-identity theory perspective. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 37(2-3), 60-75.
Lee, J. (2020). Environmental Factors of Acceptance Organization Affecting Intention to Accept Bim. International Journal of Management, 11(4).
Lee, K. C., Kang, I., & Kim, J. S. (2007). Exploring the user interface of negotiation support systems from the user acceptance perspective. Computers in human behavior, 23(1), 220-239.
Lee, M. C. (2010). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model. Computers & Education, 54(2), 506-516.
Lengnick-Hall, M. L., & Moritz, S. (2003). The impact of e-HR on the human resource management function. Journal of labor research, 24(3), 365-379.
Lin, J., Luo, Z., & Luo, X. (2020). Understanding the roles of institutional pressures and organizational innovativeness in contextualized transformation toward e-business: Evidence from agricultural firms. International Journal of Information Management, 51, 102025.
Lin, L. H. (2011). Electronic human resource management and organizational innovation: the roles of information technology and virtual organizational structure. The International Journal of Human Resource Management, 22(02), 235-257.
Lopez, D. A., & Manson, D. P. (1997). A study of individual computer self-efficacy and perceived usefulness of the empowered desktop information system.
Martin, G., Alexander, H., Reddington, M., & Pate, J. M. (2006). Using technology to transform the future of HR: an illustrated model of e-HR. In 2006 Academy of Management Annual Meeting.
Masum, A. K. M., Kabir, M. J., & Chowdhury, M. M. (2015). Determinants that influencing the adoption of E-HRM: An empirical study on Bangladesh. Asian Social Science, 11(21), 117.
Mathieson, K., Peacock, E., & Chin, W. W. (2001). Extending the technology acceptance model: the influence of perceived user resources. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 32(3), 86-112.
Mukherjee, A. (2007). HR transformation: can technology help?: IT talk. HR Highway, 1(4), 19-21.
Mun, Y. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006). Understanding information technology acceptance by individual professionals: Toward an integrative view. Information & Management, 43(3), 350-363.
Oswal, M. N., & Narayanappa, G. L. (2015). Evolution of HRM to E-HRM to achieve organizational effectiveness and sustainability. International Journal of Business Administration and Management Research, 1(2), 22-26.
Parry, E. (2011). An examination of e-HRM as a means to increase the value of the HR function. The International Journal of Human Resource Management, 22(05), 1146-1162.
Parry, E., & Wilson, H. (2009). Factors influencing the adoption of online recruitment. Personnel Review.
Reddick, C. G. (2009). Human resources information systems in Texas City governments: Scope and perception of its effectiveness. Public Personnel Management, 38(4), 19-34.
Reddick, C. G. (2009). The adoption of centralized customer service systems: A survey of local governments. Government Information Quarterly, 26(1), 219-226.
Rodríguez, J. M., & Ventura, J. (2003). Human resource management systems and organizational performance: an analysis of the Spanish manufacturing industry. The International Journal of Human Resource Management, 14(7), 1206-1226.
Ruel, H. J., Bondarouk, T. V., & Van der Velde, M. (2007). The contribution of e?HRM to HRM effectiveness. Employee relations.
Ruël, H., Bondarouk, T., & Looise, J. K. (2004). E-HRM: Innovation or irritation. An explorative empirical study in five large companies on web-based HRM. Management revue, 364-380.
Samaduzzaman, M., & Zaman, F. (2012). E-HRM in Bangladesh. IOSR Journal of Business and Management, 4(6), 32-36.
Samaduzzaman, M., Zaman, F., & Quazi, Z. (2015). Literature review on corporate governance structure and performance in non-financial firms in Bangladesh. Asian Journal of Finance & Accounting, 7(1), 96.
Sandberg, K. W., & Wahlberg, O. (2006). Towards a model of the acceptance of information and communication technology in rural small businesses. Department of Information Technology and Media, Mid Sweden University, SE-851, 70.
Sanjeev, R., & Makkar, D. (2014). Determining employees’ perception through effective hris: An empiricAl stuDy. Journal of Strategic Human Resource Management, 3(3).
Schaupp, L. C., Carter, L., & McBride, M. E. (2010). E-file adoption: A study of US taxpayers’ intentions. Computers in Human Behavior, 26(4), 636-644.
Simón, C., & Esteves, J. (2016). The limits of institutional isomorphism in the design of e-recruitment websites: a comparative analysis of the USA and Spain. The International Journal of Human Resource Management, 27(1), 23-44.
Stone, D. L., & Gueutal, H. (2005). The brave new world of e-HR: Human resources management in the digital age. San Francisco: Jossy Boss.
Strohmeier, S. (2007). Research in e-HRM: Review and implications. Human resource management review, 17(1), 19-37.
Strohmeier, S., & Kabst, R. (2009). Organizational adoption of e-HRM in Europe: An empirical exploration of major adoption factors. Journal of Managerial Psychology, 24(6), 482-501.
Thiruselvi, S., Yusliza, M. Y., Ramayah, T., & Nur Zahitah, O. (2013). Continuance intention usage towards e-HRM. Proceedings Book of ICEFMO, Handbook on the Economic, Finance and Management Outlooks, 674-687.
Thite, M. O. H. A. N., Kavanagh, M. J., & Johnson, R. D. (2012). Evolution of human resource management and human resource information systems. INTRODUCTION TO HUMAN RESOURCE MANAGEMENT, 2-34.
Tung, F. C., & Chang, S. C. (2008). A new hybrid model for exploring the adoption of online nursing courses. Nurse Education Today, 28(3), 293-300.
Tung, F. C., & Chang, S. C. (2008). Nursing students’ behavioral intention to use online courses: A questionnaire survey. International journal of nursing studies, 45(9), 1299-1309.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Voermans, M., & Van Veldhoven, M. J. P. M. (2007). Attitude towards E?HRM: an empirical study at Philips. Personnel review.
Walczuch, R., Lemmink, J., & Streukens, S. (2007). The effect of service employees’ technology readiness on technology acceptance. Information & Management, 44(2), 206-215.
Weekes, S. (2006). The six thorns in e-HR's side. Personnel Today. In focus. Reed Business Information UK. Sutton-UK. Retrieved from
http://search.proquest.com/docview/229912209/12E8638CF9B22257208.
Wiblen, S. L., Grant, D., & Dery, K. (2010). Transitioning to a new HRIS: The reshaping of human resources and information technology talent.
Winarto, W. (2018). Electronic Human Resources Management (E-HRM) adoption studies: past and future research. DeReMa (Development Research of Management): Jurnal Manajemen, 13(1), 100-120.
Yusoff, Y. M., Ramayah, T., & Ibrahim, H. (2010). E-HRM: A proposed model based on technology acceptance model. African Journal of Business Management, 4(14), 3039-3045.

In-Text Citation: (Anjum & Islam, 2020)
To Cite this Article: Anjum, N., & Islam, M. A. (2020). Employees’ Behavioral Intention to Adopt E-HRM System- An Approach to Extend Technology Acceptance Model. International Journal of Academic Research in Accounting Finance and Management Sciences, 10(3), 544–561.

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Employees’ Behavioral Intention to Adopt E-HRM System- An Approach to Extend Technology Acceptance Model

Nishath Anjum, Md. Afsarul Islam

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