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What Predicts Commercial Bank Leaders’ Intention to Use Mobile Commerce?: The Roles of Leadership Behaviors, Resistance to Change, and Technology Acceptance Model

What Predicts Commercial Bank Leaders’ Intention to Use Mobile Commerce?: The Roles of Leadership Behaviors, Resistance to Change, and Technology Acceptance Model

Maddy Halbach, Tao Gong
Copyright: © 2011 |Volume: 9 |Issue: 3 |Pages: 19
ISSN: 1539-2937|EISSN: 1539-2929|EISBN13: 9781613509975|DOI: 10.4018/jeco.2011070101
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MLA

Halbach, Maddy, and Tao Gong. "What Predicts Commercial Bank Leaders’ Intention to Use Mobile Commerce?: The Roles of Leadership Behaviors, Resistance to Change, and Technology Acceptance Model." JECO vol.9, no.3 2011: pp.1-19. http://doi.org/10.4018/jeco.2011070101

APA

Halbach, M. & Gong, T. (2011). What Predicts Commercial Bank Leaders’ Intention to Use Mobile Commerce?: The Roles of Leadership Behaviors, Resistance to Change, and Technology Acceptance Model. Journal of Electronic Commerce in Organizations (JECO), 9(3), 1-19. http://doi.org/10.4018/jeco.2011070101

Chicago

Halbach, Maddy, and Tao Gong. "What Predicts Commercial Bank Leaders’ Intention to Use Mobile Commerce?: The Roles of Leadership Behaviors, Resistance to Change, and Technology Acceptance Model," Journal of Electronic Commerce in Organizations (JECO) 9, no.3: 1-19. http://doi.org/10.4018/jeco.2011070101

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Abstract

The purpose of this study was to investigate the roles leadership behaviors have on technology acceptance models, focusing on bank leaders’ intention to use mobile-commerce. The study included responses from 101 senior-level managers working at FDIC-insured commercial banks in the United States. Three instruments including Kouzes and Posner’s (1987) leadership practice inventory (LPI), Wu and Wang’s (2005) mobile commerce technology acceptance model (MC-TAM), and Oreg’s (2003) resistance to change model (RTC) were employed. A correlation analysis revealed that two transformational leadership behaviors—model the way and enabling others to act—positively relate to behavioral intent to use mobile commerce. A regression analysis found that perceived compatibility, perceived usefulness, and perceived ease of use are positively related to the behavioral intent to use m-Commerce. However, the authors found that the RTC and LPI model cannot predict the willingness to use m-Commerce.

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