J
Ja-Shen Chen
Researcher at Yuan Ze University
Publications - 74
Citations - 3369
Ja-Shen Chen is an academic researcher from Yuan Ze University. The author has contributed to research in topics: Service innovation & Customer advocacy. The author has an hindex of 28, co-authored 69 publications receiving 2824 citations.
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Service Delivery Innovation Antecedents and Impact on Firm Performance
TL;DR: In this paper, the authors identify innovation orientation, external partner collaboration, and information technology capability as the antecedents of service delivery innovation and analyze the impact of such innovation on firm performance.
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Effects of Green Innovation on Environmental and Corporate Performance: A Stakeholder Perspective
TL;DR: In this paper, the authors examined the influence of a number of factors on green innovation and the consequences in terms of performance and found that pressure from competitors and the government, along with employee conduct, all had significant and positive effects on the green innovation practices.
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Co-production and its effects on service innovation
TL;DR: In this paper, the influence of business-to-business (i.e., upstream) co-production on service innovation in the information technology (IT) industry is explored, based on a survey of sales managers, the seller side of the co-producers.
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Performance effects of IT capability, service process innovation, and the mediating role of customer service
Ja-Shen Chen,Hung-Tai Tsou +1 more
TL;DR: In this article, the authors investigated how information technology (IT) capability and service process innovation can create performance gains for firms through customer service, and they concluded that customer service is a significant mediator through which IT capability and process innovation influence the performance of a firm, and that IT capability is also a critical factor that facilitates process innovation.
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Web-based information service adoption: A comparison of the motivational model and the uses and gratifications theory
TL;DR: This study compares two user acceptance theories: the motivational model (MM), and the uses and gratifications (U&G) theory, and uses partial least squares (PLS) analysis to test each in an empirical setting.