Antecedents of Review and Recommendation Systems Acceptance

Online recommendation systems, which are becoming increasingly prevalent on the Web, help reduce information overload, support quality purchasing decisions, and increase consumer confidence in the products they buy. Researchers of recommendation systems have focused more on how to provide a better recommendation system in terms of algorithm and mechanism. However, research which has empirically documented the link between customers\u27 motivations and intentions to use recommendation systems is scant. Therefore, the aim of this study attempts to explore how consumers assess the quality of two types of recommendation systems, collaborative filtering and content-based by using a modified Unified Theory of Acceptance and Use of Technology (UTAUT) model. Specifically, the under-investigated concept of trust in technological artifacts is adapted to the UTAUT model. In addition, this study considers hedonic and utilitarian product characteristics, attempting to present a comprehensive range of recommendation systems. A total of 51 participants completed an online 2 (recommendation systems) x 2 (products) survey. The quantitative analysis of the questionnaires was conducted through multiple regression and path analysis in order to determine relationships across various dimensions. Results of this study showed that types of recommendation systems and products did have different effects on behavioral intention to use recommendation systems. To conclude, this study may be of importance in explaining factors contributing to use recommendation systems, as well as in providing designers of recommendation systems with a better understanding of how to provide a more effective recommendation system. In addition, this study considers hedonic and utilitarian product characteristics, attempting to present a comprehensive range of recommendation systems. A total of 51 participants completed an online 2 (recommendation systems) x 2 (products) survey. The quantitative analysis of the questionnaires was conducted through multiple regression and path analysis in order to determine relationships across various dimensions. Results of this study showed that types of recommendation systems and products did have different effects on behavioral intention to use recommendation systems. To conclude, this study may be of importance in explaining factors contributing to use recommendation systems, as well as in providing designers of recommendation systems with a better understanding of how to provide a more effective recommendation system

IT investment and Firm Performance: The Role of Board Gender Diversity

While the U.S. government requires diversity in providing equal opportunities, it is still doubtful how such governance-related corporate enforcement affects firm performance. This study investigates how gender diversity, the proportion of female board members in a firm, moderates the impact of IT investment on firm performance. We found a positive moderating effect of gender diversity on the effect of IT investment on firm performance. We believe that this study contributes to existing IS and corporate governance studies. In addition, it provides managerial and practical implications by providing empirical evidence of the effect of board diversity and IT investment and how their interaction leads to positive firm performance

IT investment and Firm Performance: The Role of Board Gender Diversity

While the U.S. government requires diversity in providing equal opportunities, it is still doubtful how such governance-related corporate enforcement affects firm performance. This study investigates how gender diversity, the proportion of female board members in a firm, moderates the impact of IT investment on firm performance. We found a positive moderating effect of gender diversity on the effect of IT investment on firm performance. We believe that this study contributes to existing IS and corporate governance studies. In addition, it provides managerial and practical implications by providing empirical evidence of the effect of board diversity and IT investment and how their interaction leads to positive firm performance

IT Governance and Organizational Agility: A Study based on Platform Organizing Logic Perspectives

Managing IS changes is critical for IT governance decisions. Thus, firms should be concerned IT agility in order to respond to uncertain changes in a dynamic environment. In this case study, we analyze the course of IT governance decisions to understand how the case company uses IT to enable organizational agility. Further, we adopt platform organizing logic perspectives to identify factors associated with this issue. These factors are classified as collaboration requirements and cohesion forces. We also identify four key principles used by the case company for making their IT governance decisions to sustain their IT agility: balance between collaboration requirements and cohesion forces, autonomy of IS integration and scalability, simplification of business processes by digitized process capital, and entrepreneurial alertness for absorbing new IT capabilities. These findings illustrate how to apply platform organizing logic to IT governance decisions and also respond to the call for research in reframing the role of IT in shaping organizational agility through digital options

Use of Electronic Word of Mouth as Quality Metrics: A Comparison of Airline Reviews on Twitter and Skytrax

User-generated content (UGC) at online platforms serves as a critical data source in the service industry as it can be accessed in real-time and reflect customers’ changing focus on service aspects. Drawing upon the importance-performance analysis framework, we propose a methodology to derive service quality metrics by utilizing the heterogeneous sources of UGC with customized text mining techniques and examining the effectiveness of these quality metrics. UGC data related to major U.S. airlines were collected from non-social media (Skytrax) and social media platforms (Twitter) from 2014 to June 2019. The results suggest that the topic distributions and the UGC-derived weighted service quality (WSQ, which represents the weighted sentiment based on service aspects) significantly vary between the non-social media and social media platforms. In addition, the WSQ scores derived from two platforms are significant indicators of the objective service quality measurement (i.e., airline quality rating) with stronger predictive power from the social media derived WSQ score