Owee Kowang Tan, Owee Kowang
Faculty of Management, Universiti Teknologi Malaysia

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Socioemotional Wealth and Firms’ Control: Evidence from Malaysian Chinese Owned Companies Goh, Chin Fei; Rasli, Amran; Tan, Owee Kowang; Choi, Sang Long
Gadjah Mada International Journal of Business Vol 17, No 3 (2015): September-December
Publisher : Master of Management, Faculty of Economics and Business, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.299 KB)

Abstract

This paper explores how the preservation of socioemotional wealth can be manifested in the control and corporate governance of Malaysian Chinese firms. Using panel data from the Industrial Products index of the Bursa Malaysia (the Malaysian stock exchange) during 2003-2006, we show that the ingrained ‘life-raft values’ among overseas Chinese entrepreneurs can be associated with the preservation of their socioemotional wealth, and thus they prioritize control over their firms. Additionally, we confirm the monitoring role of non-dominant large shareholders in reducing the families’ influence in managing and enhancing their firms’ performance. Specifically, control contestability exercised by the non-dominant large shareholders mediates the relationship between a family’s involvement in management and their firm’s performance.
Exploring Service Quality and Consumer Acceptance of Autonomous Convenience Stores Goh, Chin Fei; Hii, Puong Koh; Mah, Ri Wei; Tan, Owee Kowang; Li, Wushuang
Journal of Information Systems Engineering and Business Intelligence Vol. 11 No. 3 (2025): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.11.3.488-499

Abstract

Background: Automation is revolutionizing retail operations, leading consumers to increasingly interact with advanced retail technologies. While there have been studies on the influence of service quality on consumer acceptance, research examining the service quality of hybrid services and consumer acceptance in automated retail is limited.  Objective: This study aims to examine consumer acceptance of automated retail stores.   Methods: This study tested a proposed model by surveying 101 consumers and using a questionnaire for hypothesis testing. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to explore the effect of e-service quality dimensions on technology acceptance (perceived ease of use, perceived usefulness, and behavior intention) in the context of unmanned automated retail stores.   Results: The findings reveal that information quality positively affects perceived ease of use, while system quality positively affects perceived usefulness.  Conclusion: This study generates new insights by incorporating e-service quality dimensions from the E-Service Quality model into the Technology Acceptance Model. Additionally, the results highlight the growing importance of seamless digital experiences and reliable systems in shaping user perceptions and behavioral intentions. These findings offer practical implications for retailers aiming to enhance customer satisfaction and adoption of unmanned retail technologies through improved service design and digital infrastructure. Future research can further explore other influencing factors such as trust, perceived risk, and user demographics to better understand the evolving dynamics of consumer-technology interaction in automated retail environments.    Keywords: artificial intelligence; autonomous convenience store; consumer acceptance; e-service quality; technology acceptance model