• Journal of Information Technology Applications and Management
• /
• v.30 no.5
• /
• pp.41-57
• /
• 2023

This paper aims to analyse the factors influencing the implementation of smart factories and their performance after implementation, using the grounded theory analysis method based on interview data. The research subjects were 21 companies that were selected by the Smart Manufacturing Innovation Promotion Group under the SME Technology Information Promotion Agency in 2020-2021 as the best case smart factory implementation companies, and introduced the intermediate stage 1 or above. A total of 87 concepts were generated as a result of the analysis. We were able to classify them into 16 detailed categories, and finally derived six broad categories. These six categories are "motivation for adoption", "adoption context", "adoption level", "technology adoption", "usage effect" and "management effect". As a result of the overall structure analysis, it was found that the adoption level of smart factory is determined by the adoption motivation, the IT technology experience affects the adoption level, the adoption level determines the usage and usage satisfaction, internal and external training affects the usage and usage satisfaction, and the performance or results obtained by the usage and usage are reduced defect rate, improved delivery rate and improved productivity. This study was able to derive detailed variables of environmental factors and technical characteristics that affect the adoption of smart factories, and explore the effects on the usage effects and management effects according to the level of adoption. Through this study, it is possible to suggest the direction of adoption according to the characteristics of SMEs that want to adopt smart factories.

• Journal of Korea Trade
• /
• v.27 no.5
• /
• pp.63-90
• /
• 2023

Purpose - This study aims to identify the relationship between logistics companies' Logistics 4.0 technology adoption with logistics innovation capability and logistics performance, and analyze the mediating effect of logistics innovation capability and the mediated moderation effect of firm size through logistics innovation capability. Design/methodology - Research models and hypotheses were established based on prior research related to Industry 4.0, Logistics 4.0, logistics technology, logistics performance, and firm size. The survey was conducted on the employees of logistics companies, and exploratory factor analysis, reliability analysis, confirmatory factor analysis, discriminant validity analysis, structural equation model analysis, mediation effect, moderation effect, and the mediated moderation effect analysis were performed. Findings - The adoption of Logistics 4.0 technology was found to significantly affect logistics innovation capability and logistics performance. Logistics innovation capability was found to significantly affect logistics performance. Moreover, logistics innovation capability was found to have a significant mediation effect on the relationship between Logistics 4.0 technology adoption and logistics performance. The moderation effect based on firm size was found to have a partial effect on logistics innovation capability and logistics performance, but the mediated moderation effect was not significant. Originality/value - This study is meaningful in that it empirically analyzed the relationship of Logistics 4.0 technology adoption with logistics innovation capability and logistics performance, the mediating effect of logistics innovation capability, the moderation effect of firm size, and the mediated moderation effect of firm size, which were not addressed in previous studies.

• Journal of Korea Trade
• /
• v.27 no.3
• /
• pp.87-102
• /
• 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 Digital Convergence
• /
• v.19 no.9
• /
• pp.157-168
• /
• 2021

As a recent global economic trend, the subscription economy is rapidly expanding along with the growth of non-face-to-face online shopping. This study tried to verify the factors influencing online subscription for disposable consumer goods through behavioral reasoning theory. 344 questionnaire responses were collected through a survey in Korea and empirical analysis was performed. As a result of the analysis, value of openness was found to have a positive effect on attitude, reason for adoption and reason against adoption. Reason for adoption showed a positive effect on attitude and adoption intention. Reason against adoption showed a negative effect on attitude but it has no impact on adoption intention. Attitude showed a positive effect on adoption intention. Finally price consciousness and quality barrier was found to the most important factors of reason for adoption and reason against adoption respectively. The results of this study can contribute to subscription companies establishing their marketing strategies. Future research can be conducted with various subscription products and additional variables.

• Journal of Information Technology Applications and Management
• /
• v.17 no.3
• /
• pp.71-82
• /
• 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 Marketing Journal
• /
• v.19 no.2
• /
• pp.1-24
• /
• 2017

This article empirically examines the relationship between values, consumer innovativeness, online opinion leadership, and new product adoption behavior utilizing wearable technology as the overall unit of analysis. The authors analyze data collected from SNS users who possess one or more wearable devices using a structural equation modeling approach to examine the direct effects. Moreover, a bootstrapping approach is adopted to explore the indirect effects between the constructs. The results indicate that consumers who value stimulation and hedonism are more inclined to possess stronger consumer innovativeness. Consumer innovativeness also positively influences online opinion leadership, ultimately leading to the faster adoption of new products. The mediating effect of consumer innovativeness between the value stimulation and online opinion leadership is also confirmed. In addition, although consumer innovativeness has no direct effect on new product adoption behavior, it does have an indirect, mediating effect through online opinion leadership.

• Journal of Service Research and Studies
• /
• v.13 no.1
• /
• pp.1-26
• /
• 2023

We analyze the effects and related factors of Smart Factory adoption. 110 and 325 samples were collected by median-size-industry matching method, respectively, of adopting and non-adopting companies. We use financial statement data (ROA, etc.) from the year before adoption to the fourth year after adoption. Abnormal operating performance and annual abnormal changes are obtained according to event study method, and analyzed by Wilcoxon signed-rank test and t-test. ROA and sales growth rate demonstrate short-term effects after adoption, but not long-term effects. As a result of regression analysis to examine if the three factors of labor intensity, R&D intensity, and prior financial performance have moderating effect, the moderating effect of R&D intensity and prior financial performance is confirmed. In addition, we perform regression analysis to confirm performance effects of early and late adoptions and whether prior financial performance and organization size have moderating effect. It is confirmed that the later the time of adoption, the greater the effect of adoption in the long term and the moderating effect of prior financial performance and organization size is confirmed.

• The Journal of Information Systems
• /
• v.30 no.1
• /
• pp.179-204
• /
• 2021

Purpose The purpose of this study is to suggest a research model that shows how Youtube influencers affect consumers' Youtube information adoption and purchase intention. Generally, a communicator's character has a significant effect on the persuasiveness of the message. This study segments influencer characteristics into five dimensions and explores the effect of five characteristics on perceived usefulness of information, perceived enjoyment, information adoption, and purchase intention. Design/methodology/approach This study suggests a structural equation model that explains the casual relationship between the five dimensions of Youtuber characteristics and perceived usefulness of information, perceived enjoyment, information adoption, and purchase intention. Findings There are little research on what and how the characteristics of a Youtube influencer can affect consumers' information adoption and purchase intention of the product. This study is significant in that it provides a research model that examines the effect of Youtuber characteristics on consumers' information adoption and purchase intention. This research discovered that the dimensions of trustworthiness and attractiveness of influencer affect information adoption and purchase intention through the mediate variables.

• Journal of Fashion Business
• /
• v.13 no.3
• /
• pp.49-61
• /
• 2009

The purpose of this study is to analyze how the perceived benefits and obstacles of fashion companies, which utilizes the internet as a marketing or commercial transaction tool, have effect on the continuous internet adoption intention, and to analyze the differences between the companies that have introduced the internet commercial transaction and those that have not. A survey was conducted from January $15^{th}$ to February $20^{th}$ in 2009, among the employees of fashion companies carrying out internet business. A total of 314 respondents used in the data analysis, the statistical analysis methods were frequency analysis, factor analysis, reliability analysis, t-test and multiple regression analysis. The results show that the elevation of the business results, improvement in customer relationship and raise in market reactivity of the perceived benefits has effect on the continuous internet adoption intention of fashion companies. There are differences in the elevation of the business results, improvement in consumer relationship, miscellaneous expenses and the continuous internet adoption intention between companies that introduced a internet commercial transaction system and those that have not.

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