• 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.

• Journal of Family Relations
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• v.23 no.3
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• pp.3-29
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• 2018

Objectives: The purpose of this study was to investigate the acceptance of family diversity among college students and related variables. Method: Data were collected by a structured questionnaire with 280 students who attended in three universities located in J province. SPSS Statistics Program version 24.0 was used to analyze the collected data. To answer the research questions, descriptive statistics, t-test, F-test, Pearson's correlation analyses, and regression analyses were performed. Results: The major results of the survey were summarized as below. First, the acceptance of family diversity among college students was slightly higher than the middle level(M=12.11). Most students accepted nuclear family as a typical family. More than half of the students accepted single parent families, adaptive families, step families, unmarried mother families, childless couples, homosexual families, elderly women living alone, and families composed of siblings as a family. Second, there was a significant difference by religiosity. Students without religion were higher than their counterparts with religion in a level of family diversity acceptance. Among the individual factors, third, a level of traditional family value had a significant negative effect on a level of family diversity acceptance. And perspective taking had a positive effect on a level of family diversity acceptance. Fourth, among the family factors, parent-child open communication did not affect a level of family diversity acceptance. However, parents' gender egalitarian beliefs had a significant positive effect on a level of family diversity acceptance. Lastly, regarding the relative effects of the personal and family factors, the traditional family value had the largest effect on a level of family diversity acceptance among college students. Conclusions: Base on these results, the implications and limitations of the study were discussed.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1361-1369
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• 2021

Recent technological advancements have had a substantial impact on consumer buying behavior. This research aims to determine the factors affecting consumer behavior related to the adoption of self-service technologies (SSTs). The intended findings of this study are expected to contribute to understanding consumer behavior towards the adoption of SSTs taking into account the logic of two main theories in this regard: the Technology Acceptance Model (TAM) and the assumptions of the Behavioral Perspective Model (BPM). This research follows a triangulation approach. Consequently, a number of semi structured interviews were conducted with experts and executive directors from selected SSTs providers in Jordan. In addition, the convenience sampling technique was employed focusing on current (or) previous users of SSTs in the public and private sectors in Jordan using a self-administrative questionnaire (66% response rate). The results confirmed the influence (direct and indirect) of previous experience and personal initiatives and characteristics on consumer intention to use SSTs. In addition, the results indicated the important role of the mediator variables namely: perceived ease of use (EOU), perceived risk (PR), and perceived usefulness (PU) on consumer attitude towards SSTs which in turn will positively affect consumer intention to use SSTs.

• The Journal of Information Systems
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• v.13 no.2
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• pp.173-193
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• 2004

B2C EC has two kinds of perspectives such as technology-oriented and trust-oriented perspectives. As lots of fraud damages on the B2C EC have been reported every day, the trust-oriented perspective receives lots of attention. In this study, an integrative typology for developing and validating trust measures for B2C EC proposed by McKnight et al.(2002a) and McKnight and Chevany(2002b) has been used for trust-oriented perspective, and the TAM(technology acceptance model) model proposed by Fred Davis in 1985 has been used for technology-oriented perspective. An research model had been developed by using the 4 factors of an integrative typology and 5 factors of the TAM model such as perceived usefulness, perceived ease of use, trust beliefs, intention, and actual transaction. All 13 hypotheses had been proposed from this research model and tested by field study. 12 hypotheses, including the 4 f actors of an integrative typology as antecedents on trust beliefs, were significant, whereas the hypothesis 5 on the relationship between structural assurance and perceived ease of use was insignificant. Structures on B2C EC like guarantees, regulations, promises, legal recourse, or other procedures seemed to be difficult to B2C EC customers. Therefore, these structures should be developed more easier to B2C EC customers.

• The Journal of Information Systems
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• v.15 no.4
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• pp.125-147
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• 2006

Internet shopping mall has dual nature of information technology features defined by the web-based application system and marketing features explained by the shopping marketplaces. The purpose of this study aims at analyzing the consumer's attempt to purchase and re-purchase intention to the internet shopping mall to combine the IT perspective and the marketing perspective. This paper develop the integrated research model with the acceptance behaviors of customers through consumer's purchase decision process(pre-purchase stage and post-purchase stage). The results from an empirical survey as follows: First, the integrated model is valid in predicting the acceptance of the internet shopping malls by using structured equation modeling. Second, there are the differences between pre-purchase stage and post-purchase stage by each conceptual constructs. Finally, the results of MSEM(Multi-group Structured Equation Modeling) indicate the perceived ease of use and perceived trust to the attitude to the internet shopping mall is more effectively predicted at the pre-purchase stage. Vice versa, the perceived usefulness to the intention to the purchase intention of internet shopping mall is more effectively predicted at the post-purchase stage. This study provides an integrative approach to develop the effective and successful internet shopping mall strategy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1105-1117
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• 2017

Financial technology, also known as FinTech, is one of the fast growing global businesses in since its inception in 2008. Fintech is a new economic industry, comprised of companies that adopted the latest technologies to provide more efficient financial services than the traditional financial services. Fintech companies are generally small to medium sized startups trying to disintermediate existing financial systems. FinTech companies can be differentiated in several areas, based on its business solutions and target customers. In Korea, the Peer-to-Peer (P2P) lending companies are the most prominent in the FinTech sector. P2P lending is a method of borrowing or lending money to individuals through online services without the use of an official financial institution as an intermediary. The P2P lending companies operate their services entirely online or mobile environment. Consequently, mobile P2P lending application users are dramatically increasing. Thus, it is worth evaluating the acceptance of the mobile apps of the P2P lending companies from a user's perspective. This paper discusses user acceptance of the mobile P2P lending apps, guided by the Technology Acceptance Model. We conclude that the users' acceptance of mobile P2P lending apps are significantly influenced by perceived ease of use, perceived usefulness, and user satisfaction. These in turn influenced their attitude towards using mobile P2P lending apps and intention to use.

• Journal of Information Technology Applications and Management
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• v.27 no.3
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• pp.1-18
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• 2020

Recently, following the development of FinTech technology that combines finance and information and communication technology, the need and social demands for a block chain technology-based trading system have increased significantly. In this study, a research model was developed and hypothesized through literature research on the concept of block chain technology, the technology acceptance model, and the unified theory of acceptance and use of technology. The research theories were tested by collecting data through surveys and analyzing the collected data. This study conducted empirical research to identify the factors influencing the user acceptance intention and utilization behavior of the block chain technology in introducing the block chain technology. First, factors affecting the acceptance intention of the blockchain user were performance expectation, effort expectation, social impact, and blockchain transparency variables. Second, the facilitation conditions and stakeholder confidence variables were analyzed as factors that did not affect the acceptability of the blockchain users. Third, variables such as blockchain transparency, stakeholder trust and intention of acceptance are factors that affect the usage behavior of the blockchain. Fourth, it was confirmed that the acceptance intention had a very high explanatory power on usage behavior of Blockchain technology.

• Journal of Korean Society of Rural Planning
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• v.26 no.3
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• pp.115-126
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• 2020

This study designed an extended technology acceptance model incorporating and combining TPB, TAM, UTAUT, and IDT, which are known to be useful in explaining technology acceptance intention, to analyze antecedents affecting smart farm acceptance intention from the perspective of policy handlers. In the model of this study, nine independent variables were set, including subjective norm, perceived behavioral control, attitude, perceived usefulness, performance expectation, effort expectation, social impact, promotion condition, and fitness. The effect of these variables on farm acceptance intention was analyzed. The study found that four factors, including perceived behavioral control, perceived usefulness, social impact, and fitness, had positive effects on the acceptance intention of smart farms. Of these, perceived usefulness had the highest impact. In conclusion, all the TPB, TAM, UTAUT, and IDT applied to the research hypothesis to explain the smart farm acceptance intention included on or more variables with significant effects. In other words, these theories were evaluated as useful to explain the acceptance intention of smart farms.

• The Research Journal of the Costume Culture
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• v.25 no.1
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• pp.48-63
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• 2017

When digital media and images are combined, their significant sociocultural impacts can be exercised. Therefore, this study analyzes digital images shown in such trends of digital media compared to the digital fashion from an aesthetic perspective. Research and empirical studies are focused upon to analyze the aesthetic characteristics of digital fashion. Digital Fashion comprehensively refers to fashion design using computers and software, and is considered as "Fashion Design utilizing Digital Technologies" including computer software and hardware perspectives, so that it may be renamed "Digital Fashion." The esthetic characteristics shown in the Digital Fashion defined above are analyzed according to how media philosophers conceptualize the digital image. First, from the perspective of creation, Digital Fashion Images are technical images produced by computers. Uncanny characteristics expressed through virtual images look more realistic than the actual ones used in experimental works of fashion designers. Such virtuality dynamically expresses various colors and fabric patterns through lights using digital technologies that do not yet exist in cloth form, rather in a non-material form of dynamic virtual imagery. Digital fashion images on monitors express digital fashion designs by shaping virtual images through 3D printing. Second, Digital Fashion Images from the perspective of acceptance are created through deconstruction, while fashion has only been previous viewed visually, Digital Fashion delivers immersions of visual touches as if directly experienced for accepters. Digital Fashion will continuously develop and become more influential as it converges with digital media.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.399-422
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• 2013

The aim of this study is to find the model that best explains members' continued use intention in virtual communities by comparing technical and social perspectives applied in IS context. With the eight major variables identified from prior studies, four alternative models were formulated:1) A base model from Information Systems (IS) continuance perspective, 2) IS continuance model with technology-acceptance perspective, 3) IS continuance model with social-capital perspective, and 4) IS continuance model with socio-technical combined perspective. The adequacies of these four models with different perspective highlighted were tested using survey data collected from virtual community users in Korea. The findings indicated that the IS continuance model and social-capital perspective is the most efficient model that best explains the members' continued use intention in virtual communities.