The effects of IT-related attributional style in voluntary technology training

ABSTRACT

IT training is firmly established as a key condition that influences successful technology adoption, yet little is known about factors that can affect voluntary training participation. We evaluate the predictive value of IT-related attributional style in relation to the intention to participate in voluntary training in the context of a mandatory enterprise resource planning system rollout. We find that individual IT-related attributional style is highly predictive of the intention to participate.

KEYWORDS:

• attributional style
• technology adoption
• training
• ERP

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Stanislav Mamonov

Stanislav Mamonov is an Assistant Professor in the Information Management & Business Analytics Department at the Feliciano Business School, Montclair State University. He received a Ph.D. in Information Systems from the Zicklin School of Business, Baruch College, City University of New York (CUNY). His research focuses on the strategic value of information assets, applied predictive analytics and information privacy related topics. His research has been published in Communications of the Association of Information Systems, Journal of Information Privacy and Security, International Journal of Electronic Commerce, Computers in Human Behavior, and International Journal of Information Management among other journals.

Marios Koufaris

Marios Koufaris is a Professor in the Paul H Cook Department of Information Systems and Statistics at the Zicklin School of Business of Baruch College, CUNY. He received a PhD in Information Systems from the Stern School of Business, New York University. His research focuses mainly on the determinants of user beliefs, attitudes, and behavior in different contexts. His work has been published in multiple journals, including Information Systems Research, MIS Quarterly, European Journal of Information Systems, Journal of Management Information Systems, International Journal of Electronic Commerce, and Information & Management.