• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.261-276
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• 2020

This study seeks to find an effective support plan through the success factors recognized in the early stages of startup and those recognized after success by grasping the success factors of successful small business entrepreneurs at each stage from the pre-start stage to the growth stage. To this end, a qualitative study through interviews was conducted with successful convenience store franchisees to derive success factors from the start-up preparation stage to the early stage and growth stage. The success factors of starting a small business were studied in consideration of the characteristics of franchise convenience store startups using the ERI model and the ERIS model applied in the study on the performance of startups. The success factors were studied using the multisite service firm life cycle of Sasser et al.(1978) reflecting the results. As a result of the study, the key factors of successful franchisees were the selection of the location of the first store, the selection of strategic additional stores, and the successful renewal of the contract. Depending on the characteristics of the founder, the enterprising franchisees took an active attitude in selecting strategic locations for additional stores and defending the commercial district, while the relatively conservative franchisees showed an active attitude toward store operation and renewal from a management perspective. In particular, the entrepreneur's mind is important in the preparation stage, and the importance of the entrepreneur's management strategy was discovered in the entire business cycle. Based on the results of this study, this study specifically sought out a start-up plan to effectively apply it to the future growth stage.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.2
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• pp.157-171
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• 2014

A organization of social enterprises is to achieve various goals such as private interests, the public nature, and social policy. For fulfilling these goals, we have to understand the various success factors. These success factors were shared among peoples. This study explored a position of structure of social network formed by success factors of Social Enterprises with importance. A position within social network defined a number of link connected other nodes. A position is closely associated with to individual's behaviors, opinions and thinking. We used social network analysis with two mode method for explaining feathers of structure of social network formed by success factors shared among peoples. We choose degree centrality for determining a position within social network. Centrality is a key measure in social network analysis. Results is that shared success factors are operation capital(15.15%) totally, and by Buying experience of products of Social Enterprises, Business Compliance(14.39%) and planning(12.88%), and by usage time of smart devices, Business Support(17.05%) and planning(16.10%). and the dominant success factor was not explored.

• Journal of Distribution Science
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• v.18 no.9
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• pp.31-43
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• 2020

Purpose: This study examined a comprehensive model for assessing the success probability of electric vehicle (EV) commercialization in the Korean market. The study identified three risks associated with successful commercialization which were technology, social, policy, environmental, and consumer risk. Research design, methodology: The assessment of the riskiness was represented by a Bayes belief network, where the probability of success at each stage is conditioned on the outcome of the preceding stage. Probability of success in each stage is either dependent on input (i.e., investment) or external factors (i.e., air quality). Initial input stages were defined as the levels of investment in product R&D, battery technology, production facilities and battery charging facilities. Results: Reasonable levels of investment were obtained by expert opinion from industry experts. Also, a survey was carried out with 78 experts consisting of automaker engineers, managers working at EV parts manufacturers, and automobile industry researchers in government think tanks to obtain the conditional probability distributions. Conclusion: The output of the model was the likelihood of success - expressed as the probability of market acceptance - that depended on the various input values. A model is a useful tool for understanding the EV industry as a whole and explaining the likely ramifications of different investment levels.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.927-937
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• 2020

Global warming awareness through energy conservation is growing due to the regulatory policies issued by governments and voluntary organization that established carbon emission limits. Transportation is one of the major contributors to carbon emissions. Bike will be simultaneously saving money, getting fit and helping to reduce global warming. Web design has been identified as a key factor for the acceptance and success of the websites and electronic commerce. The purpose of this research is to investigate the effective implementation of the proposed Analytic Hierarchy Process (AHP) technique on a bike case study whose company (Bike Company) is involved in web design for a critical component in the demonstration. Survey research used a variety of data collection methods, with the most common being questionnaires and interviews of some exporters. The research results reveal that the top five key success factors are Good reputation, Transaction security, Ease of use, Promotion, and Diversified choices, which provide the guidelines and directions for decision-makers to design effective websites in the current competitive business scenario. The major findings of this study are suggesting that Internet marketing channels are securing the company's relevance, together with paving the way for methods to increase web traffic.

• Journal of Intelligence and Information Systems
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• v.14 no.3
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• pp.87-108
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• 2008

Recently, commerce paradigm is developing to e-commerce, mobile commerce, and ubiquitous commerce(u-commerce). While many companies consider to adopt u-commerce, they have a task to solve this problem. The typical consideration is to derive the critical success factors for u-commerce. By the literature survey, this paper suggests the critical success factors for e-commerce business and off-line business to transform to u-commerce environment. We find significant variables to contribute the management performance by analyzing the cause and effect relationship.

• Asia pacific journal of information systems
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• v.25 no.3
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• pp.445-472
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• 2015

Although knowledge transfer between two different parties occurs in IS development projects, the majority of prior studies focused on knowledge transfer from IT consultants to clients. Considering two parts of knowledge transfer in IS development projects, we must consider both 'where knowledge is transferred from' and 'where it is transferred to'. Therefore, in this study, we attempt to describe two different routes of knowledge transfer, such as knowledge transfer from an IT consultant to a client and knowledge transfer from a client to an IT consultant. In this regard, we have examined the effect of two different routes of knowledge transfer on system implementation success in IS development project. Specifically, we adopted the knowledge stock-flow theory to examine the causal relationship between IT consulting firms and clients in terms of knowledge transfer and eventual system implementation success. Survey data collected from 213 pairs of individuals (both clients and IT consultants) were used to test the model using three different analytic approaches such as PLS (partial least squares) and two types of mediated regression techniques. We found that knowledge transfers partially mediated both the relationships between IT consultants' IT skills (project members' business knowledge) and system implementation success. Furthermore, the effects of each knowledge transfer were distinguished by depending on the types of system, such as ERP or groupware. Our attempts have significant implications for both research and practice given the importance of effective knowledge transfer to IT consulting.

• Journal of Distribution Science
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• v.15 no.1
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• pp.57-70
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• 2017

Purpose - This study examined the effects of CRM success factors on business performance and customer performance, and the effects on job performance and customer performance through internal member satisfaction by considering of technology, organizational environment and customer relationship factors in CRM success factors from banking sectors. Research design, data, and methodology - An online questionnaire was conducted to 251 employees in banking sectors. The data were analyzed by SPSS 22.0 and Amos 21.0. CRM success factors, internal member satisfaction, job performance, and customer performance were analyzed by descriptive statistics and Pearson's correlation analysis. The bootstrapping in structural equations was conducted to verify the mediating effect of internal member satisfaction. Results - Internal members' satisfaction had a positive effect on job and customer performance. It mediated the relationship between organizational environment, customer relationship factors and job performance. It also mediated the relationship between organizational environment and customer performance. Conclusions - If internal members' relationship with customers is improved by the members' satisfaction, customer retention, customer satisfaction, and work performance will be achieved. The stability and usability in CRM system support jobs effectively, but the internal members did not feel their job satisfaction. Thus, they did not show a positive effect on job and customer performance.

• Asia pacific journal of information systems
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• v.11 no.1
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• pp.25-43
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• 2001

The evolution of EDI has opened the flexible and efficient way for business to conduct a greater portion of the routine buyer-seller business activities online. This study focuses on the role of factors that change the innovation characteristics for implementation success of EDI. Three factors promotional efforts, proactive implementation strategy, and provision of technical expertise are proposed to affect EDI implementation success, as these factors directly influence three general and most important attributes of innovation relative advantage, compatibility, and complexity respectively. Hypotheses indicate that promotional efforts, proactive implementation strategy, and provision of technical expertise directly affect EDI implementation success that is represented by three variables volume, depth, and diversity. A structural equation modeling approach(LISREL) is used to analyze data from EDI adopters. The results show that proactive implementation strategy and provision of technical expertise positively affect implementation success of EDI. Given the significant impact of the wide spread use of the EDI system, this study offers quite useful insights on the factors facilitating innovation characteristics under which EDI can be successfully diffused in organizations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.4090-4102
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• 2018

After emerging online communications, text mining and sentiment analysis has been frequently applied into analyzing electronic word-of-mouth. This study aims to develop a domain-specific lexicon of sentiment analysis to predict box office success in Korea film market and validate the feasibility of the lexicon. Natural language processing, a machine learning algorithm, and a lexicon-based sentiment classification method are employed. To create a movie domain sentiment lexicon, 233,631 reviews of 147 movies with popularity ratings is collected by a XML crawling package in R program. We accomplished 81.69% accuracy in sentiment classification by the Korean sentiment dictionary including 706 negative words and 617 positive words. The result showed a stronger positive relationship with box office success and consumers' sentiment as well as a significant positive effect in the linear regression for the predicting model. In addition, it reveals emotion in the user-generated content can be a more accurate clue to predict business success.

• Venture DIGEST
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• s.110
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• pp.48-49
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• 2007