Exploring the Time Dimension in the Technology Acceptance Model with Latent Growth Curve Modeling

This paper investigates the dynamics of users’ beliefs and intention to adopt a new technology during the course of its training. It also identifies the relationships among the dynamic elements over a time continuum. As a research method, we introduce latent growth curve modeling to better analyze the dynamics over a longitudinal time horizon. We provide an outline of the method for a research in progress. In addition, we demonstrate the application of latent growth curve modeling to a secondary data set obtained from Venkatesh et al. (2006). The results indicate that those with a higher level of initial behavioral intention to use are likely to have a higher level of initial use of a technology. In addition, those who have a steeper rate of increase in behavioral intention during the implementation are likely to have a steeper increase in their use of the technology

An Equity Perspective on Knowledge Sharing Behaviors in Organizations

Organizations promote knowledge sharing behaviors among their members to derive value from the knowledge embedded within individuals and in other organizational resources. Individuals’ knowledge sharing behavior, however, is a complex phenomenon, influenced by several factors, which has been examined in the prior research using several theoretical perspectives. In spite of the vast body of research, the phenomenon is not fully understood, given that many interacting, external and intrinsic factors can influence individuals’ motivation and ability to participate in knowledge sharing. Among the possible factors, an important set of factors can be equity or fairness perceptions, which can play a role in individuals’ motivation for knowledge sharing. Perceptions of equity have been found to be a good predictor of organizational citizenship behaviors and, organizational citizenship behaviors are known to positively influence knowledge sharing behaviors. However, in the extant literature, the role of equity perceptions in influencing knowledge sharing behaviors has not been examined. In this study, we examine the role of perceptions of equity on knowledge sharing behavior and develop a model for understanding knowledge sharing behaviors from the equity theory perspective

Examining Leader-Member Exchange as a Moderator of the Relationship between Emotional Intelligence and Creativity of Software Developers

This paper investigates how leader-member exchange (LMX) and emotional intelligence (EI) are associated with employees??? creativity in high-tech firms. We develop a model that considers LMX and EI as predictors of creativity with LMX as a boundary condition for the relationship between EI and creativity. Results reveal that LMX is a strong predictor of creativity. However, EI does not directly affect creativity. More interestingly, the interaction between EI and LMX negatively influences creativity such that EI is detrimental for creativity only when LMX is high. Thus, the role of LMX for employees??? creativity may be paradoxical. Further, the positive role of EI reported in current literature may be overly simplistic, and its role may be contingent on the quality of LMX and the other context.ope

When Can AI Reduce Individuals’ Anchoring Bias and Enhance Decision Accuracy? Evidence from Multiple Longitudinal Experiments

This study aimed to identify and explain the mechanism underlying decision-making behaviors adaptive to AI advice. We develop a new theoretical framework by drawing on the anchoring effect and the literature on experiential learning. We focus on two factors: (1) the difference between individuals’ initial estimates and AI advice and (2) the existence of a second anchor (i.e., previous-year credit scores). We conducted two longitudinal experiments in the corporate credit rating context, where correct answers exist stochastically. We found that individuals exhibit some paradoxical behaviors. With greater differences and no second anchor, individuals are more likely to make adjustment efforts, but their initial estimates remain strong anchors. Yet, in multiple-anchor contexts individuals tend to diminish dependence on their initial estimates. We also found that the accuracy of individuals was dependent on their debiasing efforts

How can executives/entrepreneurs in small to medium sized software enterprises leverage partnerships with large firms?

The business partnerships between small to medium sized software enterprises (SMSEs) and large IT vendors are prevalent today. In this paper, we empirically identified the factors that improve SMSEs' partnership performance and motivate them to retain their partnership based on interviews with and a survey of C level executives of SMSEs. We found that SMSEs' partnership performance and intention to retain the partnership are influenced by normative, technological, and managerial factors. Based on these results, we provided a set of managerial guidelines that can be useful for executives and entrepreneurs in SMSEs