Vincent S. Lai

Technology acceptance model for internet banking: an invariance analysis

The technology acceptance model (TAM) has been applied in different contexts to investigate a wide range of information technologies (IT), and a cumulative tradition has already been developed in this stream of research. Most TAM studies have been empirical investigations, using the survey approach with great success. TAM is a mature model and has been validated in different contexts. However, it still needs to be empirically investigated for its invariance across different respondent subgroups in order to make sure that different sample profiles would not have a negative effect on the findings. Unfortunately, this has not happened in most TAM research. Here, we applied different levels of invariance analysis on the TAM construct in the context of Internet banking acceptance. We concluded that the TAM construct was invariant for our sample across different gender, age, and IT competence subgroups. These findings suggested that male and female, old and young, IT expert and novice, conceptualized the TAM construct in very similar ways. These findings allowed us to understand TAMs validity in technology acceptance research.

Literature derived reference models for the adoption of online shopping

The aim of the authors of this paper was to identify areas that would aid in developing a better understanding of the dynamics of a customers decision to shop online. To accomplish this, a review of the empirical studies on the antecedents of online shopping was performed. From an extensive literature search, a total of 45 relevant articles were identified. The factors that have been investigated in these studies were classified according to their similarity and patterns of their findings were identified and analyzed.

Group decision making in a multiple criteria environment: A case using the AHP in software selection

Abstract This paper reports the results of a case study where the analytic hierarchy process (AHP) technique was employed to support the selection of a multi-media authorizing system (MAS) in a group decision environment. Three MAS products were identified and ultimately ranked using the AHP. Six software engineers, who are technically competent and experienced, participated in our study. These engineers were trained to use the AHP and asked to apply this technique to select the most appropriate MAS product for adoption. A post-study survey and interview were conducted with all the engineers to collect further feedback on the use of the AHP, as compared to their frequently used Delphi technique, in supporting group decisions. The experiment results and survey findings indicated that the AHP is preferable to Delphi as the AHP helps group members center a discussion around objectives, rather than alternatives. We also found the AHP to be more conducive to consensus building in group decision settings.

Prediction of internet and World Wide Web usage at work: a test of an extended triandis model

Abstract The Internet/World Wide Web (WWW) has significantly impacted every facet of operations in organizations. As information systems, including Decision Support Systems, are rapidly moving to the Internet platform to facilitate remote access and group cooperation, it is crucial to understand the adoption process of the Internet. This paper studies various factors affecting Internet/WWW usage in working environments. Previous studies on Internet or WWW usage have adopted the Technology Acceptance Model (TAM) as their research framework. As such, important factors, such as facilitating conditions and social factors, which we consider important in explaining the use of the Internet/WWW, were left out. Therefore, a more comprehensive theoretical model is constructed for this study by modifying the Triandis social psychological model based on the results of previous studies. Factor analysis and multiple regression were used to analyze data collected from 241 questionnaires. The results support our modified model. Facilitating conditions and social factors are confirmed as the two most important factors affecting Internet/WWW usage. Other significant factors include perceived near-term consequences and perceived complexity. All new paths that we have added to the original Triandis model are found to be significant. The proposed model should provide a valuable alternative theoretical basis for technology adoption studies in the future.

An Empirical Investigation of the Determinants of User Acceptance of Internet Banking

The growth in the use of the Internet as a distribution channel of products and services offered by various businesses has been phenomenal. One such application is Internet banking services. As more and more financial institutions are finding ways to utilize Internet technologies to launch Internet banking services, an important issue is to understand what factors will impact the decisions of customers in adopting the service. Based on Daviss technology acceptance model with 4 additional variables that are theoretically justified as having influence on perceived usefulness and perceived ease of use, a research model for the investigated technology acceptance was developed and empirically examined, using responses from more than 160 intended users of the technology. Results of the data analysis generally support the model as well as 7 of 8 of the proposed hypotheses. In particular, personalization, alliance services, task familiarity, and accessibility were found to have significant influence on perceived usefulness and perceived ease of use, which, in turn, were found to be important factors in fostering a positive attitude toward accepting the services. Several implications for both research and practice have emerged and are discussed.

Software selection: a case study of the application of the analytical hierarchical process to the selection of a multimedia authoring system

This paper discusses the multimedia processing environment, the applicability of analytic hierarchy process (AHP) in problem solving, and how AHP can be applied to the selection of multimedia authorizing systems (MAS) in a group decision environment. A MAS selection model is proposed to facilitate the groups decision making in the selection of MAS. Six software engineers, who are technically competent and experienced, participated in our study. They were trained to use AHP and then applied this technique to evaluate three MAS products for adoption decision. The results indicated that AHP offers chances for every participant to fully understand, discuss, and objectively evaluate all MAS products before identifying and selecting the most efficient MAS.

A bibliography of neural network business applications research: 1994–1998

Abstract The purpose of this paper is to present a comprehensive bibliography of neural network application research in business during the period of 1994–1998. Our extensive literature searches have identified a total of 302 research articles. A classification of these articles by year reveals that a large amount of research has been published in the last five years. Production/operations, finance, marketing/distribution, and information systems were found as the most popular application areas. Information on neural network development language/tool, learning paradigm, computing operating environment, journals and authors are included. An in-depth comparison with the previous survey findings and potential future research trend in the neural network business research are discussed. Scope and purpose Due to the breakthrough of the neural network technology, there has been an increasing amount of neural network application research in the last decade. As a result, a considerable amount of published research has appeared, with a significant portion focusing on actual neural network development for business applications. But a comprehensive bibliography of these research published in the last five years is not documented.

An assessment of the influence of organizational characteristics on information technology adoption decision: a discriminative approach

The increasing importance of emerging information technologies has prompted many researchers to examine the nature of innovation adoption within organizations. However, the nature of organizational influences in the innovation adoption process is still not well understood. This study surveyed Business Week 1000 companies to determine whether organizational strategies, structure, or context facilitate the adoption decision of integrated services digital networks (ISDN). The results suggest that companies most receptive to ISDN are larger, less open, have more slack resources, more technology expansion actions, and fewer technology restriction actions.

Exploring the research in information technology implementation

Abstract Information Technology (IT) plays a critical role in the survival and growth of business organizations. Increasing investment in IT and the strategic role played by information systems make IT implementation an important research issue within the MIS discipline. Even though much research has been done to understand IT implementation, there is a lack of effort to integrate the findings and to evaluate the status of research in this area. The objective of this study is to explore the intellectual development and evolution of IT implementation research through a meta-analysis of published MIS research. The findings are based on an analysis of 71 articles on IT implementation published during 1976–1995 in top MIS research journals. The results indicate that IT implementation research is sensitive to the evolving role of IT in organizations. There is a shift in emphasis from studying individual IT to organizational and inter-organizational IT. A preference for theory building research away from exploratory research in recent times indicates a level of maturity in IT implementation research.

Willingness to share information in a supply chain: A partnership-data-process perspective

To achieve an efficient and effective supply chain, information needs to be shared. Most current information-sharing studies address the benefits gained from shared data, but neglect the effect of willingness to share, in which the benefits of sharing data may be discounted. This study looks into the factors that affect the extent of the willingness of companies to share information from a partnership-data-process perspective. To distinguish the mode of sharing, we differentiate information sharing into template based and proactive. Our results suggest that when partnerships become closer, the willingness to share template-based information increases and consequently the willingness to proactively share additional information.