Kuruzovich, J., Paczkowski, W., Golden, T., Goodarzi, S., and Venkatesh, V. “Telecommuting and Job Outcomes: A Moderated Mediation Model of System Use, Software Quality, and Social Exchange,” Information & Management, (58:3), 2021, 103431.
Bala, H., Venkatesh, V., Ganster, D.C. and Rai, A. “How Does an Enterprise System Implementation Change Interpersonal Relationships in Organizations,” Industrial Management & Data Systems, (121:8), 2021, 1824-1847.
Although research has suggested that enterprise system (ES) implementations have major impacts on employee job characteristics and outcomes, there has been limited research that has examined the impacts of ES implementations on interpersonal relationships over time. Building on and extending recent studies that have examined changes in employee job characteristics and outcomes during an ES implementation, this research examined the nature, extent, determinants, and outcomes of changes in an important interpersonal relationship construct—coworker exchange (CWX)—following an ES implementation. CWX is considered a critical aspect of employees’ job and an important determinant of their success in the workplace. Drawing on social exchange theory, we theorize that employees will perceive a change in CWX following an ES implementation.
A longitudinal field study over a period of 6 months among 249 employees was conducted. Latent growth modeling was used to analyze the data.
We found that employees’ work process characteristics, namely perceived process complexity, perceived process rigidity, and perceived process radicalness, significantly explained change, i.e., decline in our case, in CWX during the shakedown phase of an ES implementation. The decreasing trajectory of change in CWX led to declining job performance and job satisfaction.
The role of CWX and its importance in the context of ES implementations is a key novel element of this work.
Venkatesh, V., Aloysius, J.A., Hoehle, H., and Nikkhah, H. “Being at the Cutting Edge of Online Shopping: Role of Recommendations and Discounts on Privacy Perceptions,” Computers in Human Behavior (121), 2021, 106785.
(2) discounts that increase the value of products. Building on privacy calculus, we theorize about how and why key, representative combinations of recommendations and discounts influence the effects of inhibitors and enablers on online purchase intention. Our research design incorporated recommendations coming from different sources for the recommendation (retailer and other customers’ preferences) product relatedness (related products with historic purchases correlated to the focal product and unrelated products with no historic purchase correlation to the focal product) and two types of discounts (regular and bundle). Participants completed a browsing task in a controlled online shopping environment and completed a survey (n = 496). We found mixed results of moderating effects of recommendations and product relatedness on the effect of inhibitors and enablers on purchase intention. Although recommendations did not enhance the effects of inhibitors, they did enhance the effects of enablers on online purchase intention. We also found that product relatedness did not enhance the effect of privacy enablers on online purchase intentions. The results also showed that discounts enhance the effects of enablers, and that discounts can counteract the moderating effect of recommendations on the relationship between inhibitors and purchase intention under certain circumstances. We discuss theoretical and practical implications.
Venkatesh, V. “Adoption and Use of AI Tools: A Research Agenda Grounded in UTAUT,” Annals of Operations Research, 2021.
Chan, F. K. Y., Thong, J. Y. L., Brown, S. A., and Venkatesh, V. “Service Design and Citizen Satisfaction with E-Government Services: A Multidimensional Perspective,” Public Administration Review, (81:5), 2021, 874-894.