Se-Joon Hong

Understanding continued information technology usage behavior: a comparison of three models in the context of mobile internet

There are provided a dust generation preventing structure of a wafer storage case and a process for preventing dust generation thereof, wherein dust generation is effectively prevented by blocking or suppressing free movement of particles constantly generated from a surface of a wafer storage case of a synthetic resin with a coating layer of a surfactant, and a wafer storing method using the wafer storage case. The wafer storage case of synthetic resin is used for housing wafers, and a surface of the wafer storage case is coated with a coating layer of a coating agent to prevent dust generation from the surface.

Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services

We have come to a stage when information technology (IT) innovations have permeated every walk of life. Many new technologies can be used for many different purposes and in different contexts other than the workplace. The current study attempts to understand individual adoption of IT innovations that are used beyond work settings. We define a new class of IT innovations called multipurpose information appliances, which are personal, universally accessible, and multipurpose. The ubiquitous nature of these appliances has led to a constant permeability between the separate contexts of social life. An adoption model that reflects the unique characteristics and usage contexts of multipurpose information appliances was developed. The model consists of five sets of adoption factors and was tested using data collected on mobile data services adoption. Our findings show that the determinants of multipurpose information appliance adoption decisions are not only different from those in the workplace, but are also dependent on the nature of the target technology and its usage context. Theoretical and practical implications of the findings are discussed.

Understanding the behavior of mobile data services consumers

Due to rapid advances in the Internet and wireless technologies, a ubiquitous computing world is becoming a reality in the form of mobile computing. At the center of this phenomenon is mobile data services which arise from the convergence of advanced mobile communication technologies with data services. Despite the rapid growth in mobile data services, research into consumers’ usage behavior is scarce. This study attempts to identify and empirically assess the factors that drive consumers’ acceptance of mobile data services. A research model based on the decomposed theory of planned behavior and incorporating factors that represent personal needs and motivations in using mobile data services is presented. The model is tested via an online survey of 811 consumers of four categories of mobile data services (i.e., communications, information content, entertainment, and commercial transactions) associated with different usage contexts. We found that attitude, social influence, media influence, perceived mobility, and perceived monetary value influence consumers’ intention to continue usage of mobile data services. In addition, perceived ease of use, perceived usefulness, and perceived enjoyment influence attitude toward continued usage of mobile data services. Finally, separate analysis of the different categories of mobile data services highlights the influence of individual usage context on consumers’ behavior.

Consumer Acceptance of Personal Information and Communication Technology Services

In todays information and communication technology (ICT)-enabled service economy, there is great interest in digital service management. While the extant technology acceptance research has mainly studied user acceptance of various ICTs, there is a dearth of research on consumer acceptance of personal ICT services. In this paper, we extend the unified theory of acceptance and use of technology to the context of ICT services by examining the moderating role of ICT service type. We tested the proposed model in a large-scale survey of 4777 consumers, including both potential and current consumers of mobile data services (MDS), of two different types of MDS: communication and infotainment services. The results strongly supported the model with service type moderating key relationships. The findings have theoretical and practical implications for digital service management in particular and service science in general.

Measurement development for cultural characteristics of mobile Internet users at the individual level

Culture plays an important role in how an information technology is developed and used. However, few studies attempt to identify the cultural traits most relevant to the specific technology being examined. The main purpose of this study is to develop measures for cultural characteristics of individual users with a specific information technology, the mobile Internet. We propose measures for four cultural characteristics important in the context of the mobile Internet, which are expected to be widely used in the future. The proposed measures were verified empirically through online surveys conducted in seven countries. The results indicate that the measures have high validity and reliability, as well as comparability among the seven countries. The paper ends with a discussion of the studys limitations and implications.

How old are you really? Cognitive age in technology acceptance

With increasing trends toward global aging and accompanying tendencies of (older) individuals to feel younger than they actually are, an important research question to ask is whether factors influencing IT acceptance are the same across individuals who perceive themselves to be as old as they actually are (i.e., cognitive age=chronological age) and those that perceive themselves to be younger than they actually are (i.e., cognitive age

A market-driven approach to teaching software components engineering

The emergence of software component standards and tools for creating software components is leading to an increasing number of software component developers. Traditional software engineering education, however, emphasizes methods for developing large software packages. It is not clear whether such methods are appropriate for developing components. New techniques may be needed to teach the skills necessary for component development. We identify two skills software developers need to successfully develop components, which are not emphasized in traditional software engineering education: (a) uncovering multiple-customer domain semantics; and (b) making explicit multiple-customer framework semantics. Both skills are multiple constraint satisfaction problems. We further argue that training students to produce and market components in a simulated software components marketplace – rather than the more conventional “classroom teaching” + “component homework assignments/projects” – is an effective way of teaching such skills. We then describe an environment we created called SofTrade that simulates a components market and allows students to acquire the necessary skills. We provide a detailed case study of how a student component-producer team used market feedback to determine domain and framework semantics. We end by discussing the importance of market-driven approaches for teaching software components engineering and how such approaches fit into existing software engineering curricula.

Software reuse and competition: Consumer preferences in a software component market

Research on software reuse has traditionally focused on reuse among employees within the same organization. In contrast, our research investigates consumer preferences in a software component market with multiple producers and consumers of software components. We propose that empirically studying competition in software component markets is crucial to discovering success factors for improving software reuse. To facilitate such research, we have developed an experimental market laboratory called SofTrade; we report here the results of two empirical studies made possible by this environment. Our results support some existing reuse maxims, such as the concept that consumers prefer to reuse components that are general and flexible. Other established reuse beliefs are not supported by our results, such as the expectation that consumers will prefer objects with unique, complex features. Overall, the research reported here strongly supports the claim that the practice of exploring software reuse activity within real or artificial software component markets produces unique insights into how we can improve software reuse.