• 벤처창업연구
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• 제15권5호
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• pp.261-276
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• 2020

본 연구는 성공 소상공인 창업자의 창업 이전 단계부터 성장단계까지 단계별 성공요인을 파악하여 창업 초기 인지한 성공요인과 성공 후 인지한 성공요인을 통해 효과적인 지원 방안을 모색하고자 한다. 이를 위해 성공한 편의점 가맹점주를 대상으로 창업 준비단계부터 초기, 성장단계에 따라 성공요인을 도출하기 위해 전기적 인터뷰를 통한 질적연구를 진행하였다. 소상공인 창업의 성공요인은 창업기업 성과(performance)에 대한 연구에서 적용하는 ERI모델과 ERIS모델을 활용하여 프랜차이즈 편의점 창업의 특성을 고려하여 연구했으며, 성장단계에 따른 성공요인을 도출하기 위해 프랜차이즈 성장단계를 반영한 Sasser et al.(1978)의 다점포 외식기업 수명주기(The multisite service firm life cycle)를 활용하여 성공요인을 연구하였다. 연구 결과, 성공한 가맹점의 핵심 요인은 첫 점포 입지선정, 전략적 추가 점포 입지선정, 성공적인 재계약으로 나타났다. 창업자의 특성에 따라서는 진취적 성향의 가맹점주는 전략적 추가 점포 입지선정, 상권방어 등에 적극적인 자세를 취하였고, 상대적으로 보수적인 가맹점주는 관리적 측면에서 점포운영, 재계약 등에 적극적인 자세로 경영하는 모습을 보여주었다. 특히 창업 준비단계에서는 창업가 마인드가 중요하며, 창업 전주기에서는 창업자의 경영전략의 중요성이 발견되었다. 본 연구는 이러한 연구 결과를 바탕으로 향후 성장단계에 효과적으로 적용하기 위한 창업 방안을 구체적으로 모색하였다.

• 디지털산업정보학회논문지
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• 제10권2호
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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.

• 유통과학연구
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• 제18권9호
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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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• 제7권11호
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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.

• 지능정보연구
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• 제14권3호
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• pp.87-108
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• 2008

최근 상거래의 패러다임은 e-커머스, m-커머스, u-커머스의 단계로 발전되고 있으며 많은 기업들이 u-커머스의 도입을 고려하고 있다. 그러나 u-커머스가 정착되기 위해서는 아직 여러 가지 해결 과제가 남아있다. 그 가운데 주요 성공요인을 도출하는 것은 u-커머스 연구에 있어서 중요성이 높은 연구의 하나이다. 특히, 기업운영의 목표인 경영성과와의 관계를 통해 u-커머스가 성공하기 위해서 필요한 요인을 분석해 본다. 본 연구에서는 문헌적 고찰 등을 통하여 u-커머스 구현을 위해 요구되는 주요 성공요인을 정리하고 성공요인을 평가하기 위한 항목을 확정한다. 그리고 다중 회귀분석을 이용하여 u-커머스 성공요인과 경영성과와의 인과관계를 분석한 후 최종적으로 유의한 중요변수가 무엇인지를 도출한다.

• Asia pacific journal of information systems
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• 제25권3호
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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.

• 유통과학연구
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• 제15권1호
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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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• 제11권1호
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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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• 제12권8호
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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.

• 벤처다이제스트
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• 통권110호
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• pp.48-49
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• 2007