Jaeki Song

Investigating the role of attitude in technology acceptance from an attitude strength perspective

Since Davis et al. originally formulated the Technology Acceptance Model (TAM), research on information technology (IT) acceptance has yielded many extended and competing models. Empirical investigation of these models, however, has not consistently supported the mediating role of attitude in predicting user IT adoption, leading some researchers to claim a minimal role of attitude. In this study, we call for attention to the role of attitude in explaining technology acceptance behavior. In developing the research model, we draw on both the concept of attitude strength and previous technology acceptance studies. Empirical examination of our research hypotheses indicates that attitude toward system use fully mediates the effects of salient beliefs on behavioral intention when the attitude is strong, whereas it partially mediates the effects when the attitude is weak. Our findings provide additional insights in predicting technology acceptance behavior.

Social influence process in the acceptance of a virtual community service

This study investigates the effect of subjective norms, tendency to social comparison, and social identity on behavioral intention to use an Avatar service. Use of a virtual community service can be regarded as social behavior or a behavior affected by social factors. This study relies on the link between subjective norms and behavioral intention in the theory of reasoned action, social identity theory, and social comparison literature. The proposed model was tested using survey data with the results lending support for the proposed model. The implications from this study are expected to contribute to the literature by shedding light on the social influence process in two ways. First, this study unveils how social factors including subjective norms, social identity, and tendency to social comparison affect behavioral intention to use a specific service from virtual communities. Second, this study will aid managers and academics to further understand the social nature of customer behavior with regard to using virtual community services and thus provide insight for the development of technology driven e-commerce.

An Empirical Comparison of Four Text Mining Methods

The amount of textual data that is available for researchers and businesses to analyze is increasing at a dramatic rate. This reality has led IS researchers to investigate various text mining techniques. This essay examines four text mining methods that are frequently used in order to identify their characteristics and limitations. The four methods that we examine are (1) latent semantic analysis, (2) probabilistic latent semantic analysis, (3) latent Dirichlet allocation, and (4) correlated topic model. We review these four methods and compare them with topic detection and spam filtering to reveal their peculiarity. Our paper sheds light on the theory that underlies text mining methods and provides guidance for researchers who seek to apply these methods.

Application discoverability and user satisfaction in mobile application stores: An environmental psychology perspective

In order to appeal to consumers, mobile application stores face the challenge of finding ways to achieve the seemingly conflicting goals of providing a large quantity of applications and simultaneously making the specific applications that users desire easy to discover. Drawing on environmental psychology, this paper reports a study investigating how quantity-related facilitators and environment-related facilitators are related to application discoverability, which in turn impacts user satisfaction with the application store. We find that quantity-related facilitators (perceived quantity-sufficiency, perceived quantity-overload, and information specificity of search) and environment-related facilitators (application store coherence and user-generated reviews) all influence application discoverability, which affects user satisfaction. These facilitators play a role in managing the conflicting goals in mobile application stores.

The effects of incorporating compensatory choice strategies in Web-based consumer decision support systems

Given the importance to web retailers of creating satisfying experiences for website consumers, surprisingly little research has been done concerning the effects of Web-based consumer DSS. In this study, we draw on theories of decision making and user satisfaction to develop three realistic Web-based DSS that support different decision strategies, and conducted an experiment to compare them. As we hypothesized, results indicate that the two DSS supporting compensatory strategies (weighted additive or equally weighted), compared to DSS supporting non-compensatory strategies (elimination-by-aspects), were perceived to be more accurate, less effortful, more effective, more satisfactory, and had superior consistency with stated preferences.

How Consumer Perceptions of Network Size and Social Interactions Influence the Intention to adopt Peer-to-Peer Technologies

People join peer-to-peer networks for economic and social reasons. From an economic perspective, people join peer-to-peer (P2P) networks based on the size of the networks. However, from a sociological perspective, when people adopt technologies, they create an alternative social network motivated by extrinsic and intrinsic rewards. In this study, we develop a conceptual framework for measuring the impact of economic and social factors drawn from theories of network externalities and social exchange. The preliminary data analyses show that perceived size of network influences perceived network externalities, and in turn, network externalities have an impact on intention to adopt P2P technologies. In addition, we found that social benefit is also an important antecedent of adopting P2P technologies. Our preliminary results provide insights on how people reconcile economic and social considerations when choosing to adopt a P2P technology.

Exploring the effect of strategic positioning on firm performance in the e-business context

This study investigates what strategic positions exist in the e-business context and how strategic positioning affects firm performance. The current study draws on the concept of fit between environmental factors and organizational factors. We collected survey data from both pure online and click-and-mortar companies and tested the model using 133 firm reports. Cluster analysis was performed to analyze survey data and to find groups of companies that pursue similar strategic positioning. The findings of the current study lend support to the hypothesis of distinctive grouping based on environmental factors and resources. The findings also support the hypothesis that strategic positioning influences firm performance. The major implication of this study is that innovative differentiation strategies together with technological resources strongly affect firm performance in the e-business context, a context where there is considerable turbulence in technological development.

Toward an integrated framework for innovation in service: A resource-based view and dynamic capabilities approach

Organizations today desire strategies that place them on the frontiers of service innovation. In this research, we provide a novel research framework that incorporates resources and capabilities and how they affect elements of service innovation. This research draws on the resource-based view of the firm to define firm’s internal resources and outside (i.e., relational) capabilities. Because firms compete in a dynamically changing market, we introduce dynamic service capabilities as three distinct processes that allow resources and relational capabilities to affect components of service innovation. Three propositions are introduced in addition to specific examples of promising future empirical work using service-oriented firms. This study aims to contribute to service innovation through a theoretical foundation in which we posit how firms develop their service innovation through a dynamic service capabilities framework. Contributions to theory and practice are discussed in addition to limitations to the study.

An integrated model exploring sellers' strategies in eBay auctions

Abstract This paper presents the results of a field study conducted to elucidate critical factors that determine sellers’ net revenue in Internet auctions. Using two datasets of Internet auctions, one dataset for auctions of a DVD (N=378) and one for auctions of an MP3 player (N=412), we conduct multiple regression analysis to determine the impact of 10 seller-controlled variables on sellers’ net revenue. We find at least partial support for all of our 13 hypotheses.

Internet market strategies: antecedents and implications

The Web is a new market channel that has become a serious alternative to traditional channels. At present, there is little strategy analysis available to guide a companys decision about its involvement in the internet market. In this paper, we differentiate between the internet and traditional market channels and define two fundamental strategies for operating on the internet as: pure and mixed. Based on models of competition in microeconomic theory and resource-based perspectives, we develop a conceptual model for channel selection. We discuss the results and their implications for companies operating on the internet.