• Journal of Fashion Business
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• v.4 no.2
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• pp.113-126
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• 2000

The purpose of the study was to investigate the level of latest fashion adoption of men's wear manufacturers and differences in the level of fashion adoption according to characteristics of brands and merchandise. Thus, this study was to be an exploratory study to examine the trends in fashion adoption of men's wear manufacturers. The questionnaire consisted of questions on 7 elements of fashion adoption and characteristics of men's wear manufacturers and their merchandise. The subjects were to evaluate their level of fashion adoption and rated on 5 point Likert-type scales of 7 elements. For the survey, the subjects were 100 employees (62 merchandisers, and 24 designers, etc.) who are employed by men’s wear manufacturers which have national brands, designer brands, license brands, import brands or private brands. The SAS PC+ package was used to calculate factor analysis, mean, t-test, ANOVA, Duncan's test, and Tukey's test. The results from the study were as follows: 1) The elements of fashion adoption of men's wear manufacturers were divided into 4 factors (clolr/fabric, silhouette/fashion image, detail/item coordination, accessories) which explained 83.61% of the whole of factors. 2) The highest score of mean of fashion adoption factors was fabric/color, but the lowest was accessory factor. 3) There were significant positive correlations between fashion adoption factors except between fabric/color and accessories. 4) There were significant differences in the level of fashion adoption according to types of brands and ages of target consumers. 5) There were significant differences in the level of fashion adoption according to the categories of apparel (suits vs. casual clothing) and types of suits and casual wear.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.255-264
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• 2020

The fourth industrial revolution has attracted much academic attention in these past few years. However, research on systematic and extensive factors affecting adoption of Industry 4.0 by SMEs in developing countries, especially in Vietnam, has been unavailable. This study aims to explore the impact of factors that influence the actual adoption of Industry 4.0 by SMEs in Ho Chi Minh City. Mixed-method research was utilized in this study including in-depth interviews of 12 participants and quantitative research of 396 respondents who are representative of SMEs by both online and via paper surveys. The SPSS and SmartPLS 3 software were employed to help analyze the collected data. The results indicate that perceived development of the human resource, perceived on-time, perceived saving cost, perceived improve product quality, perceived saving time, perceived ease-of-use, business resources, and conditions of the business environment, perceived usefulness, perceived enhanced customer relationship, and adoption intention, all have a positive significant effect on actual adoption of Industry 4.0. The results seem to suggest that managerial efforts aimed at increasing the factors' perceptions of adoption of Industry 4.0 and personal relevance of the technology will contribute to implementation success, where success is defined as effectual usage of the Industry 4.0.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.205-215
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• 2012

Due to a rapid change of business environment, many firms are eager to find the competitiveness by information technology adoption and diffusion. In this exploratory study, we examined the applicability of a previously proposed model to evaluate IT competitiveness based on the innovativeness and verified it's propriety with empirical data. As suggested by previous studies, the proposed model considers a variety of corporate and market characteristics concerned with IT adoption, and it consists of several internal and external impacting factors, which have influence on technology diffusion and its performance. For the empirical analysis, the survey data of domestic ERP adoption cases were adopted from 128 small and medium-sized enterprises(: SMEs) in IT and electrical engineering industry, and analyzed by partial least squares(: PLS) - a popular structural modeling and multivariate projection technique to latent variables. The results indicated positive supports for the research model of external and internal IT adoption factors' influences on innovativeness' performances. However, there are a couple of limitations not to show the reliability of selected measurement items and the generality of model proposed in this exploratory study.

• Journal of Information Technology Applications and Management
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• v.17 no.3
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• pp.71-82
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• 2010

This study is to present effective ways of IT adoption as a new growth engine for vitalizing service industry. The paper identifies key success factors of IT adoption and analyzes empirically its' impact on user satisfaction. Additional analysis of control effect by company sizes is conducted. For data sampling, among 1590 companies in IT systems, equipment, and software, 1570 companies participated and total 2,000 questionnaires were collected. In order to analyze main effect analysis and control effect, Structural Equation Modeling method was applied. The result show that there are significant effect between key success factors and user satisfaction. Based on the result, the paper suggests effective way of IT adoption according to company sizes.

• Asia pacific journal of information systems
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• v.14 no.3
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• pp.145-167
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• 2004

Given the increasing of adoption of the SCM(Supply Chain Management), especially in small and medium-sized enterprises, this study aims at identifying the key influencing factors of small and medium-sized enterprises' SCM adoption. Based on prior research on innovation diffusion theory, TPB(Theory of Planned Behavior), and IT/EDI adoption in various organizations, a model of SCM adoption has been developed and empirically tested hypotheses based on the model. The model was tested using LISREL analysis on the sample collected from 127 small and medium-sized enterprises' top management. The results show that perceived behavioral control is found to have a significant positive effect on adoption intention, and attitude and subjective norm are also important determinants of SCM adoption intention in small and medium-sized enterprises. Implications of these findings are discussed for researchers and practitioners.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.18-37
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• 2016

Cloud computing is an upcoming technology and emerging concept in the field of information technologies. Companies have begun to invest in cloud computing with the expectation that it will improve their business performances, operations, and processes. However, many companies are not so much aware of the cloud computing, so they can hesitate to adopt this new technology. The aims of the study are analyzing factors affecting the adoption of cloud computing and applying structural equation modeling technique to analyze the important dimensions of the adoption. Concordantly, previous studies are examined and expert interviews are arranged. Based on both our literature review and expert interviews, a model is proposed to measure the adoption of cloud computing. It is obvious that there are scarce researches about cloud computing adoption in the literature. Thus, the originality of the paper lies on that it proposes a research model for cloud computing adoption and it investigates various dimensions of cloud computing adoption in detail.

• Journal of Information Technology Applications and Management
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• v.10 no.1
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• pp.47-59
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• 2003

This study analyses the level of resistance which workers have against the adoption of ERP systems and the factors affecting the resistance to the adoption of the new systems. The major results of the study include 1) about 40% of workers showed resistance to the adoption of ERP systems, and 2) all six factors (technical characteristics of ERP system, functional characteristics of ERP system, implementation approach, task changes caused by the adoption of ERP system, attitude toward change, and altitude toward organization) were proved to affect the resistance to the adoption of the ERP systems. In practice, adoption of ERP system brings significant changes to workers. In order for an organization to succeed, it is necessary to reduce the resistance of workers. Since this study is performed based on a case study, the results of the study may not be generalized. However, the results of the study may provide guidance which organizations can refer in the course of effective personnel management.

• The Journal of Information Systems
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• v.18 no.4
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• pp.131-153
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• 2009

Due to the deterioration of the business environment, many companies become more interested in IT adoption to strengthen their internal competence. The recent expansion of the ERP adoption in the small and medium-sized enterprises (SMEs) can be interpreted as an example for this. However there are still a number of questions over the outsourcing effectiveness and its performance of IT adoption by characteristics of SMEs. This study aims to investigate the relationship between the software process quality and the product quality, and additionally the moderating effect of IT adoption factors, from the case of SMEs' ERP adoption by the outsourcing. For this purpose, the empirical analysis through the structural equation model has been carried out, based on the software quality model defined in ISO/IEC 15504 and ISO/IEC 9126. The result of analysis shows that the acquisition process quality can affect the product quality characteristics, currently applied in the national software quality certification, and this supports the practical usefulness of the ISO standard of software engineering. But another result shows that there is little moderating effect by IT adoption factors, in contrast to the expectation, and this can be explained due to the inappropriate measurement and the data constraint such as short duration-time of IT adoption. These can be used as an informative reference for continuing studies of the quality model application and the effect of IT adoption factors in SMEs.

• Journal of Korea Trade
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• v.27 no.3
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• pp.87-102
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• 2023

Purpose - Although the importance and necessity of "sustainable supply chain management (SCM)" is emphasized, it is often not realized due to conflicting results, the long time required, and large-scale changes brought about by sustainability. This study used the innovation resistance model to confirm the influence of sustainable SCM innovation resistance factors and dynamic capabilities on adoption intentions. This approach made it possible to understand the factors that hinder adoption of sustainability practices and to identify the relationships among influencing factors. It should also help to establish effective policies or strategies. Design/methodology - Through a literature review, the characteristics of sustainable SCM were classified into relative advantage, compatibility, perceived risk, and complexity. The effects of these innovation characteristics on innovation resistance in sustainable SCM and the effects of innovation resistance on adoption intentions were confirmed. In addition, the effects of SCM capabilities on innovation resistance and adoption intentions were analyzed, and the mediating effect of innovation resistance was analyzed. Findings - Compatibility, perceived risk, and flexibility had significant effects on innovation resistance. In turn, innovation resistance had a significant effect on adoption intention, and flexibility had a significant effect on intention to adopt. A partial mediating effect of resistance to innovation was confirmed. Originality/value - Although many previous studies have acknowledged trade-offs with sustainability, most sustainable SCM studies dealt with the correlations among positive drivers of adoption, practices, and performance. This study confirmed the process of accepting sustainable SCM innovation in a single model and is expected to serve as a cornerstone for future sustainable SCM adoption studies. In addition, our findings should help establish effective policies or strategies to activate SSCM adoption by identifying the factors that hinder the adoption of sustainable SCM.

• Journal of Information Technology Services
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• v.9 no.4
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• pp.151-167
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• 2010

Recently, SaaS(Software as a Service) as a new type of information systems has become popular. Many information systems practitioners and academics, consequently, pay their attention to SaaS. However, there are very few empirical studies on SaaS success factors because of its short adoption history. This study, therefore, tries to identify a variety of success factors of its adoption and examines how these factors affect organizational performance using an exploratory approach. For this purpose, this study collects data from 132 Korean companies and analyzes the relationship between success factors and organizational performance. Our results are likely to help provide useful guidelines for the successful SaaS adoption.