Jungjoo Jahng

Effects of interaction richness on consumer attitudes and behavioral intentions in e-commerce: some experimental results

A variety of information and communication media have been employed to support the interaction of consumers with products and sales representatives in electronic-commerce (EC). But, the question of what impact those media have on consumers in EC has not been sufficiently addressed in the literature. The objective of this study is to investigate the effect of the richness of consumers’ interaction with products and with sales representatives on changes in their attitude towards and their intention to use business-to-consumer (B2C) EC. Controlled lab experiments were conducted using two types of products and multiple levels of interaction richness. The results show that interaction richness has positive impact on consumers’ attitude towards B2C EC. Additionally, the study finds that the impact is stronger in the case of purchasing a high-complexity product than a low-complexity product, and that consumers’ attitude change is positively related with their intention to use B2C EC. Differential effects on two facets of attitude, ease of use in accomplishing the tasks and usefulness were observed leading to interesting implications and future research directions.

An empirical investigation into the utilization-based information technology success model: integrating task-performance and social influence perspective

This paper develops the utilization-based information technology (IT) success model by integrating key variables from IT acceptance and IT success literatures, and empirically validates it. The model shows relations among IT utilization, performance expectancy, social influence, and user satisfaction. A field study was undertaken to evaluate and test the relationships via structural equation modeling using LISREL. The path from performance expectancy and user satisfaction to IT utilization was positive and significant. While the path from implicit social influence to IT utilization was found to be significant, explicit social influence had no significant influence on users’ IT utilization. Implications and future research directions are drawn.

Factors affecting the performance of voluntary participants in the knowledge sharing virtual community

Virtual community has gained much attention from academia and practice due to its great outcomes and potentials. One of the major issues is how the virtual communities make such enormous outcomes with little control and rewards, as Wikipedia or Linux have shown. This study assumes that the voluntary participants performance has a direct impact on the productivity of the virtual community, and tries to find factors affecting the participants performance in the virtual community. We employ the performance model of expectancy theory as a theoretical base, and this study identifies three factors, including expertise, goal congruence, and the posting effort triggered by the sense of virtual community. This study conducts an email survey from members of NHN, a major knowledge service community in Korea. The results provide support for most of our hypothesised relationships, except goal congruence.

Governance strategies for open collaboration: Focusing on resource allocation in open source software development organizations

Abstract With rapid advancements in information and communication technology, open collaboration has become easier, thereby allowing people to participate through internet platform. Open source software is one of the representative examples of open collaboration. In this research, we examine the antecedents of innovation performance for open source software development organizations on Github ( www.github.com ), which is a leading web service for the open collaborations of developers. From the perspective of resource allocation, this study investigates effective governance strategies to allocate developers to multiple projects within an organization. Overall, we find that the organization with high performance have a small number of developers to participate in most projects and most developers to participate in a small number of projects.