• Journal of Digital Convergence
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• v.19 no.1
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• pp.107-115
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• 2021

This study empirically analyzed the effect of SME representative competency on account receivable management and management performance using questionnaire data. The research model was confirmed through EFA, reliability analysis, CFA, and model fit, and the hypothesis was verified with a SEM. As a result, representative's manager competency had a positive(+) effect on account receivable management, and entrepreneurial competency had a negative(-) effect on credit control management. Account receivable management had a positive(+) effect on management performance. In the mediating test, credit sales management had a positive(+) effect but credit control management had a negative(-) effect on the effect between entrepreneurial competence and business performance. The result suggests that representative competency is an important factor and it is necessary to cultivate management competencies such as finance, utilization of management resources, and account receivables knowledge to improve management performance, and to manage account receivable based on insurance and customer credit for stable account receivable management. In the future, research on the impact of external factor such as consulting and government support and the account receivable management is required.

• Journal of Service Research and Studies
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• v.13 no.3
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• pp.82-104
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• 2023

This study analyzes the effect of users' experiences using AI chatbot services on relationship quality and behavioral intention. For the study, a survey was conducted on users who experienced AI chatbot services, and the research hypothesis was verified by analyzing the final 299 copies of valid data. As a result of the analysis, it was confirmed that satisfaction and trust, which are the relationship quality dimensions of AI chatbot service, were formed in users through the cognitive experience, emotional experience, and relational experience. In addition, it was confirmed that satisfaction and trust have a positive effect on the intention to continue using and recommending AI chatbot services, which correspond to the level of consumers' behavioral intentions, respectively. In addition, in terms of relationship quality, it was significant in all paths of the road of behavior, but in satisfaction, the path coefficient of the road of continuous use of AI chatbot and recommended road was significantly higher than the path coefficient in trust. This study provided a theoretical foundation that the relationship with relationship quality that affects behavioral intention also affects AI chatbot services in the online environment, and it is significant in that it suggests that relationship quality is an important mediating factor in establishing long-term relationships with consumers.

• Journal of Service Research and Studies
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• v.12 no.4
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• pp.106-124
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• 2022

This study examined whether the social support (emotional support, information support) provided by customers through chatbot service affects the satisfaction of chatbot service felt by customers and whether the satisfaction of chatbot service affects loyalty and intention to continue using chatbot service. In order to confirm the moderating effect of social presence of chatbot service, a total of 300 effective data were obtained by conducting an online survey divided into a group that recognizes social presence highly and a group that recognizes low. As a result of the analysis, the path from emotional support to satisfaction of chatbot service was supported in the group that recognized social presence highly, and the path from emotional support to satisfaction of chatbot service was not supported in the group that recognized social presence low, and the difference was confirmed in the hypothesis path coefficient. This is interpreted as the social presence affecting human emotional response.This study can provide implications for the function of social presence of chatbot service in that it applied information support and emotional support, which are two factors of social support, to chatbot service, and demonstrated the relationship between satisfaction, loyalty, and continuous use according to the degree of social presence of chatbot users.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.111-127
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• 2023

This study is a study on user perception of ChatGPT use. The goal of this study is to analyze the relationship between user policy expectations and user innovativeness on ChatGPT technology acceptance and intention to use using variables of TRA (Theory of Reasoned Action). The impact of policy expectations and user innovativeness on the intention to use by mediating usefulness and hedonic motivation, and the impact of subjective norms on the usefulness and intention to use were analyzed by dividing them into the MZ generation and the non-MZ generation. It was verified whether there was a moderating effect on the effect of age differences on usefulness by interacting with policy expectations. An online survey was conducted on 300 ChatGPT users using PLS (Partial Least Square) structural equations and SPSS Package, and statistical analysis was performed using PLS and SPSS. According to the analysis results, it was confirmed that the higher the initial user's innovativeness, the higher the intention to use ChatGPT. In addition, the moderating effect analysis comparing the differences between the MZ generation and the non-MZ generation showed that policy expectations had a negative effect on the usefulness of ChatGPT use.

• Management & Information Systems Review
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• v.38 no.2
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• pp.139-163
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• 2019

The purpose of this study is to identify the influence of the high performance and the work system recognized by the organizational members participating in the NCS enterprise utilization consulting on the organizational effectiveness and the influence of the organizational performance. In order to achieve the purpose of this study, the research hypotheses were verified by applying multiple regression analysis and co-integration regression analysis on the 145 usable results from using the statistical program of SPSS 24.0. The results of this study are as follows. First, hypothesis 1, the analysis of positive(+) influence on organizational effectiveness on the characteristics of the system (selection system, evaluation and compensation, education and training opportunity, member participation system, job stability) was adopted due to its' positive(+) and significant relationship. Second, hypothesis 2, an analysis that the organizational effectiveness would have a positive impact on organizational performance was adopted due to its' proven work. However, its' effectiveness will need verification. Third, regression analysis was conducted to confirm the role of the hypothesis 3, personnel management effectiveness, between the high performance and the work system (selection system, evaluation/compensation, education/training opportunity, member participation system, job stability). As a result, Hypothesis 3 showed that the selection system (H3-1), evaluation and compensation(H3-2), education and career opportunities(H3-3), member participation system(H3-4), job stability(H3-4) showed that organizational effectiveness has a moderating role in HR effectiveness. The main implication of this study is that the positive and working system recognized by the organizational members has positive affects on organizational effectiveness and organizational performance. In order to enhance the substantiality management system through improvement of organizational performance, a regular implementation plan on a high-performance working system along with education & training system to improve organizational effectiveness is required so that the members of the organization could form a consensus. Second, as a result of confirming the moderating effects of HR management effectiveness, the moderating role of HR management system and organization effectiveness was verified positive. Therefore, this study shows that the part that verifies both organizational effectiveness and organizational performance through high-performance working system and the part that confirmed the role of control between high-performance work system and organizational effectiveness are the biggest difference from the previous research.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.137-150
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• 2015

This study investigated the influence of Entrepreneurship, Start-up Competency on Entrepreneurial Satisfaction and the moderating effect of Flow experience. The goal of this investigation is to empirically prove that despite the benefits of educational and financial support, mentoring and consulting which selected applicants received as a part of supporting business for start-up companies provided by national and local government and public organizations, there is a gap between individual entrepreneurs' satisfaction after actual foundation of the company. For the purpose of this investigation, data was collected through a survey with 320 entrepreneurs who were beneficiaries of government's supporting business for start-up companies and have founded their companies less than 5 years ago. For entrepreneurship variables, three factors of innovativeness, proactiveness and risk-taking were reviewed, and also reviewed the three variables network capability, market orientation and marketing capacity as Start-up competency. The collected data was used to perform a multiple regression analysis, and the moderating effect of flow experience was analysed using moderated regression analysis. The result of analysis shows that innovativeness, proactiveness and risk-taking of entrepreneurship positively affected the entrepreneurial satisfaction, and network capability, market orientation and marketing capability also positively affected the entrepreneurial satisfaction. As a result of analysing the moderating effect of flow experience, it appeared that there is a positive moderating effect between entrepreneurship, start-up competency, and the entrepreneurial satisfaction. This result concludes that evaluation items of entrepreneurship and start-up competency as applicant selecting criteria in supporting business for start-up companies, are valid. It is also concluded that start-up supports such as education, funds and consulting are also important, but it is necessary to make changes such as construction of start-up ecosystem and reinforcement of networking support, so that entrepreneurs can have the flow experience themselves in the process after founding a company.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.57-75
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• 2019

In this paper, we conducted a study focusing on the innovation direction of the documentary model on the Internet of Things industry, which is the most actively industrialized among the core technologies of the 4th Industrial Revolution. Policy, economic, social, and technical issues were derived using PEST analysis for global trend analysis. It also presented future prospects for the Internet of Things industry of ICT-related global research institutes such as Gartner and International Data Corporation. Global research institutes predicted that competition in network technologies will be an issue for industrial Internet (IIoST) and IoT (Internet of Things) based on infrastructure and platforms. As a result of the PEST analysis, developed countries are pushing policies to respond to the fourth industrial revolution through cooperation of private (business/ research institutes) led by the government. It was also in the process of expanding related R&D budgets and establishing related policies in South Korea. On the economic side, the growth tax of the related industries (based on the aggregate value of the market) and the performance of the entity were reviewed. The growth of industries related to the fourth industrial revolution in advanced countries overseas was found to be faster than other industries, while in Korea, the growth of the "technical hardware and equipment" and "communication service" sectors was relatively low among industries related to the fourth industrial revolution. On the social side, it is expected to cause enormous ripple effects across society, largely due to changes in technology and industrial structure, changes in employment structure, changes in job volume, etc. On the technical side, changes were taking place in each industry, representing the health and medical sectors and manufacturing sectors, which were rapidly changing as they merged with the technology of the Fourth Industrial Revolution. In this paper, various management methodologies for innovation of existing business model were reviewed to cope with rapidly changing industrial environment due to the fourth industrial revolution. In addition, four criteria were established to select a management model to cope with the new business environment: 'Applicability', 'Agility', 'Diversity' and 'Connectivity'. The expert survey results in an AHP analysis showing that Business Model Canvas is best suited for business model innovation methodology. The results showed very high importance, 42.5 percent in terms of "Applicability", 48.1 percent in terms of "Agility", 47.6 percent in terms of "diversity" and 42.9 percent in terms of "connectivity." Thus, it was selected as a model that could be diversely applied according to the industrial ecology and paradigm shift. Business Model Canvas is a relatively recent management strategy that identifies the value of a business model through a nine-block approach as a methodology for business model innovation. It identifies the value of a business model through nine block approaches and covers the four key areas of business: customer, order, infrastructure, and business feasibility analysis. In the paper, the expansion and application direction of the nine blocks were presented from the perspective of the IoT company (ICT). In conclusion, the discussion of which Business Model Canvas models will be applied in the ICT convergence industry is described. Based on the nine blocks, if appropriate applications are carried out to suit the characteristics of the target company, various applications are possible, such as integration and removal of five blocks, seven blocks and so on, and segmentation of blocks that fit the characteristics. Future research needs to develop customized business innovation methodologies for Internet of Things companies, or those that are performing Internet-based services. In addition, in this study, the Business Model Canvas model was derived from expert opinion as a useful tool for innovation. For the expansion and demonstration of the research, a study on the usability of presenting detailed implementation strategies, such as various model application cases and application models for actual companies, is needed.