• The Journal of Information Technology
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• v.7 no.3
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• pp.47-61
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• 2004

The emergence of the Internet as a tool for the business-to-consumer aspect of e-commerce has far reaching ramifications. Most importantly, it has created opportunities for businesses to reach out to consumers in a very direct was and create electronic markets. This study treats e-commerce as a technology adoption process and evaluates the suitability of popular adoption models. This research supports the use of the technology acceptance model to predict online shopping activity, both the intention to shop online and actual purchases. Also this research finds that the task-technology fit model is a valuable addition to the technology acceptance model for online shopping tasks.

• Informatization Policy
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• v.24 no.1
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• pp.79-99
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• 2017

Despite the early success story, the pan-industry diffusion of big data has been slow mostly due to lack of confidence of the value creation and privacy-related concerns. The problem leads us to the need to a stakeholder analysis on the adoption process of big data. The present study combines technology acceptance model, task-technology fit theory, and privacy calculus theory to integrate the positive and negative factors on the big data adoption. The empirical analysis was performed based on the survey from the current and potential big data users. Results revealed perceived usefulness, task-technology fit, and privacy concern are significant antecedents to the intention to use big data. Furthermore, there are significant differences in the perceptions of each constructs among groups divided by the types of big data use, with several exceptions. And the control effect was found in the magnitude of the relation between independent variables and dependent variable. The theoretical and politic implications of the analysis are discussed as to the promotion of big data industry.

• Journal of Information Science Theory and Practice
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• v.9 no.1
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• pp.54-67
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• 2021

This paper presents the ISRI (Information Systems Research Indicators) Web tool, publicly and freely available at isri.sciencesphere.org. Targeting Information Systems (IS) researchers, it compiles and organizes IS adoption and use theories/models, constructs, and indicators (measuring variables) available in the scientific literature. Aiming to support the IS theory development process, the purpose of ISRI is to gather and systematize information on research indicators to help researchers and practitioners' work. The tool currently covers eleven theories/models: DeLone and McLean's IS Success Model (D&M ISS); Diffusion of Innovations Theory (DOI); Motivational Model (MM); Social Cognitive Theory (SCT); Task-Technology Fit (TTF); Technology Acceptance Model (TAM); Technology-Organization-Environment Framework (TOE); Theory of Planned Behavior (TPB); Decomposed Theory of Planned Behavior (DTPB); Theory of Reasoned Action (TRA); and Unified Theory of Acceptance and Use of Technology (UTAUT). It also includes currently over 400 constructs, nearly 2,500 indicators, and about 60 application contexts related to the models. For the creation of the tool's database, nearly 580 references were used.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.58-61
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• 2002

In this paper, we present a new generalized k-Tree-based (CU/PE) allocation model to perform dynamic resource (CU/PE) allocation/deallocation decision for the reconfigurable MSIMD/MIMD multi-dimensional (k-D) mesh-connected architectures. Those reconfigurable multi-SIMD/MIMD systems allow dynamic modes of executing tasks, which are SIMD and MIMD. The MIMD task requires only the free sub-system; however the SIMD task needs not only the free sub-system but also the corresponding free CU. In our new k-Tree-based (CU/PE) allocation model, we introduce two best-fit heuristics for the CU allocation decision: 1) the CU depth first search (CU-DFS) in O(kN$_{f}$ ) time and 2) the CU adjacent search (CU-AS) in O(k2$^{k}$ ) time. By the simulation study, the system performance of these two CU allocation strategies was also investigated. Our simulation results showed that the CU-AS and CU-DFS strategies performed the same system performance when applied for the reconfigurable MSIMD/MIMD 2-D and 3-D mesh-connected architectures.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.376-390
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• 2013

The purpose of this study are as follows : First, This study conceptually and artificially defines concepts of OCB, absorptive capacity, IT group-efficacy, and TTF. Second, this study confirms the relationship among the KMS performance, the result of using KMS, and the result drawn from OCB, absorptive capacity, group-efficacy, and TTF by the preceding researches, suggesting the research model and verifying through empirical study. Lastly, this study suggests the practical and strategic advices to the groups wanting to get on the edge through KMS. The results of data analysis showed that TTF was found to have a positive influence on KMS performance. IT group-efficacy and absorptive capacity were also found to have a positive effect on TTF. And IT group-efficacy was found to have a positive influence on OCB. The findings are discussed and further research topics are suggested as well.

• International Commerce and Information Review
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• v.12 no.2
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• pp.29-57
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• 2010

Global e-Trade system which electronically processes all trade transactions of trading companies is an essential platform where export and import firms enhance international competitiveness. This study is to develop research models suitable for e-Trade and empirically analyze them in order to examine and verify factors affecting e-Trade system of trading companies on the basis of previously-verified studies on global e-Trade such as TAM, TOE, and Task-Technology Fit Model(TTF). Among many factors, this paper comprehensively analyzes an acceptance factor, which is one of the factors affecting the implementation and performance of e-Trade, from the technological, organizational, and environmental context. The finding from this paper will be applied to e-Trade projects carried out by the government in the future by analyzing the correlation between acceptance and performance.

• Asia pacific journal of information systems
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• v.9 no.2
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• pp.99-115
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• 1999

Electronic Data Interchange (EDI) is an important part of interorganizational electronic commerce due to the strategic impact derived from its use. In order to ensure successful implementation of EDI, EDI controls must first be developed. Because they are implemented in an environmental context, the characteristics of organizational environments have a significant impact on EDI controls. The control strategy for the EDI system - formal, informal, and automated controls - should fit certain organizational environments. A research model has been developed to depict the moderating effects of six environmental variables including industry, organizational, and task characteristics on the relationships between controls and implementation. It is shown empirically that the relationships between EDI controls and implementation are indeed affected by these factors. The results can help management design formal, informal, and automated controls in view of their own environmental contexts.

• 한국IT서비스학회:학술대회논문집
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• 2006.11a
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• pp.483-490
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• 2006

본 연구에서는 조직 구성원의 협업을 위하여 도입되는 그룹지원시스템(group support system; GSS)를 대상으로 GSS의 사용에 미치는 영향과 GSS의 사용으로 인한 개인의 성과의 관계에 대한 연구를 실시하였다. 본 연구를 위해 개인의 기술수용 요인에 대한 연구에서 보편적으로 널리 사용되어 온 기술수용모델(technology acceptance model; TAM)과 사용자의 과업과의 연관성을 고려한 과학기술적합(task-technology fit; TTF) 개념, 그리고 적응구조화이론(adaptive structuration theory; AST)을 통합하여 그룹 구성원들이 GSS의 도입의도에 맞게 사용하는 것이 개인과 조직의 성과를 향상시키는지 검증하였다. 연구결과, 높은 TTF는 사용자들이 GSS에 대하여 지각하는 유용성과 용이성에 영향을 미친다는 것을 검증하였다. 또한, TTF가 사용자들의 적절한 사용을 이끌고 있음을 검증하여 TTF 중심의 연구와 AST의 적절한 사용(faithfulness on appropriation; FOA)을 중심으로 하는 두 연구에 대한 통합 모델을 제시하였다.

• Korean Management Science Review
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• v.32 no.4
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• pp.135-153
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• 2015

In this paper, we intend to understand distinguishable SNS technology contributions for B2C commerce. In order to theorize this, we draw upon Technology-to-Performance chain (TPC) theory to develop the model that could explain how the technology value of the SNS could be realizable. For the purpose of capturing SNS technology effect to B2C channel effectiveness, on the basis of TPC theory, personal productivity is selected as a performance variable instead of satisfaction from SNS usage. Accordingly, as the antecedents of personal productivity, two variables of locatability and timeliness are extracted to reflect Task-technology-fit (TTF) dimension of performance precursors. For the utilization dimension of TPC framework, convenience and recreation tendency of the personal traits in shopping are included as the precursors of SNS utilization in the sense of reflecting utilitarian and hedonic value of SNS adoption. Empirical validation is conducted with reference to promotion and sales event on Facebook, which is chosen as the typical SNS based B2C commerce scenario. The data analysis result provide useful insights to further investigate the firm's SNS usage potentials for business applications.

• The Journal of Information Systems
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• v.21 no.2
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• pp.45-71
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• 2012

The purpose of the study is to propose the plans promoting IS acceptances under the circumstances where the IS usage is semi-mandatory. Since the IS usage is critical to secure the organization's competitiveness, many researchers have endeavored to investigate the factors in promoting IS acceptance. While TAM(Technology Acceptance Model) has been generally applied under the voluntary circumstance, under the mandatory circumstance did many researchers come to realized the limit of applying the TAM on IS acceptance. This resulted in various research trials to identify the IS acceptance under the mandatory circumstance. However, no research to promoting IS acceptance under the recommend circumstance where the corresponding users are recommend to the IS rather than alternative systems exits. The study applied the concept of switching costs to the research model, identified users' acceptance variations, and finally proposed the promotion plans for IS acceptance. The findings illustrate that IS dependence levels tend to be increased when both user satisfactions from a psychological perspective and monetary benefits from an economic perspective make the switching costs higher. The study stresses that organizations should provide information systems which reduce users' time, costs, and endeavors in performing their tasks, rather than require to use them by compulsion.