• Title/Summary/Keyword: distribution business model

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Franchising for Global Distribution: A Systematic Review

  • Nurul Ashykin ABD AZIZ;Mohamad Rohieszan RAMDAN;Khairunnisa ABDUL AZIZ;Hasif Rafidee HASBOLLAH;Noreen Noor ABD AZIZ;Nik Syuhailah NIK HUSSIN;Md Zaki MUHAMAD HASAN
    • Journal of Distribution Science
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    • v.21 no.10
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    • pp.39-49
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    • 2023
  • Purpose: The purpose of this study is to explore areas that have been studied extensively in previous studies related to franchising as a platform for global distribution. Furthermore, franchising is a strategic distribution method that gives entrepreneurs the opportunity to replicate an established business model. In addition, franchisees benefit from the use of established branding and receive support from the franchisor. Research design, data, and methodology: This study used the Preferred Reporting Items Systematics Review and Meta-Analyses (PRISMA) method to analyse data from 2003 to 2023 in the Web of Science and Scopus databases. Results: A total of 79 articles were identified and analysed to see trends and related themes such as product distribution, business distribution, business strategy, emerging market, and franchising relationship. Also, publication trends by year related to franchises are also presented. Conclusions: Overall, the research trend related to franchising as a global distribution is well seen, and every year, many researchers begin to explore the topic of franchising as a method of distribution that can be explored from various aspects either quantitatively or qualitatively. Lastly, limitations and recommendations are made to provide guidance for future studies related to the topic broadly and deeply in enriching the findings.

A Study on the Development of Phased Big Data Distribution Model Based on Big Data Distribution Ecology (빅데이터 유통 생태계에 기반한 단계별 빅데이터 유통 모델 개발에 관한 연구)

  • Kim, Shinkon;Lee, Sukjun;Kim, Jeonggon
    • Journal of Digital Convergence
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    • v.14 no.5
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    • pp.95-106
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    • 2016
  • The major thrust of this research focuses on the development of phased big data distribution model based on the big data ecosystem. This model consists of 3 phases. In phase 1, data intermediaries are participated in this model and transaction functions are provided. This system consists of general control systems, registrations, and transaction management systems. In phase 2, trading support systems with data storage, analysis, supply, and customer relation management functions are designed. In phase 3, transaction support systems and linked big data distribution portal systems are developed. Recently, emerging new data distribution models and systems are evolving and substituting for past data management system using new technology and the processes in data science. The proposed model may be referred as criteria for industrial standard establishment for big data distribution and transaction models in the future.

Product Presentation Strategies for Cable Television Home Shopping Channels

  • Kim Dong Hun
    • Journal of Distribution Research
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    • v.1 no.1
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    • pp.223-237
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    • 1996
  • The emergence of the cable television era has spawned the introduction of many new television programming formats such as all-news channels, movie channels, channels catering to cultural events, channels for women, and many others. One of the new programming formats that is expected to have interesting implications for marketing is the home shopping channel. As we have observed in other countries, this new form of distribution may potentially have a major impact on the traditional retail industry. This paper presents a model of home shopping channel viewing behavior. This model is then used to formulate optimal product presentation strategies that may aid managers in the design of home shopping programs. Specifically, by formulating a profit-maximization problem based on tile model, we derive the optimal length of product presentations and explore its properperties through simulating various situations. The discussion of these properties provide insights about making strategic decisions regarding product presentations.

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Development of Patients Environmental Sustainability Performance in Healthcare Sector: A Conceptual Framework and Further Research Directions

  • KIM, Eunsung
    • Journal of Distribution Science
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    • v.17 no.7
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    • pp.99-109
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    • 2019
  • Purpose - The purpose of this development the business model of the healthcare sector in order to promote patents satisfaction towards medical sector services improvement for the medical business model innovation to possess a competitive advantage in the medical and pharmaceutical industry. Research design, data, and methodology - Safety standard protocol from existing multidisciplinary literature is a process of theorization, which uses grounded theory methodology rather than a description of the data and the targeted phenomenon by using Jabareen (2009). The first task is to map the spectrum of food safety literature regarding the phenomenon in safety management. This process includes developing the implementation factors and other sources such as existing business models and practices into the protocol design. Results - The study suggests the conceptual framework to improve the safety management for patients' environmental sustainability performance. Conclusion - The business model may support the beneficial aspect to healthcare government's policymakers, hospital employees, and medical specialist who can apply the practical perspective of its value regarding an educational protocol. Originality/value - This study contributes to and extends our understanding of environmental sustainability performance, identifying the rationale for safety standards performance in the healthcare industry with suggested hybrid safety standards market consumer interconnector.

A New Product Risk Model for the Electric Vehicle Industry in South Korea

  • CHU, Wujin;HONG, Yong-pyo;PARK, Wonkoo;IM, Meeja;SONG, Mee Ryoung
    • 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.

An Investigation of the Learning Styles of South Korean Business Students

  • Naik, Bijayananda;Girish, V.G.
    • Asia-Pacific Journal of Business
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    • v.3 no.1
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    • pp.1-9
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    • 2012
  • The Index of Learning Styles (ILS) instrument based on the Felder-Silverman Learning Style Model was used to determine distribution of learning styles of 125 South Korean business students enrolled in a South Korean institution of higher education. Results show that greater proportion of South Korean business students surveyed in this study prefer sensing over intuitive, visual over verbal, reflective over active, and global over sequential learning styles. The majority of business students have a balanced learning style in all four dimensions of the Felder-Silverman model. Among the students that do not have a balanced learning style, students with sensing, visual, reflective, and global learning styles dominate. Gender difference in learning style preference was not statistically significant for any of the four dimensions.

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A Study on the Direction of Domestic Sharing Economy through Comparative Analysis of Domestic and Overseas Business Cases (국내 및 해외 비즈니스 사례 비교 분석을 통한 국내 공유경제 비즈니스 발전 방향 연구)

  • Won, Jong Byeok;Baek, Dong Hyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.4
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    • pp.106-115
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    • 2019
  • A sharing economy has emerged through today's trust-building mechanisms, and a sharing economy is called a future economic model through a positive future market prospect. In this context, while the overseas sharing economic business is becoming a global trend, the domestic sharing economic business is busy following the global trend. The purpose of this study is to investigate the development direction of sharing economic business in Korea. First, the sharing economic cases of 50 oversea and domestic businesses were analyzed by time series analysis. Next, a cross-country analysis to analyze the business distribution and KCERN's sharing economic model through sharing economic cube model was conducted. Finally, profit model analysis through business case study and the relationship between the derived factors were investigated. As a result of the analysis, this study found comparative trends between overseas and domestic including differences in cultural and institutional environments and profit models. This study suggested directions for domestic sharing economy business.

Analysis of Distribution Structure and Its Improvement Plan for e-Learning Business (이러닝산업 유통구조 분석 및 개선방안 연구)

  • Han, Tae In
    • Journal of Digital Convergence
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    • v.11 no.5
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    • pp.83-94
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    • 2013
  • The e-Learning is one of best ways to generate the substitution effect for classroom learning, and robust and rational distribution structure for e-Learning industry is the key issue for successful educational performance of e-Learning, however the recent e-Learning market has a distribution status quite different from rational structure. This paper focuses on issues of e-Learning distribution status and alternatives for policy making. In order to make this study successful, we discuss about concepts and scopes of e-Learning distribution and various types of distribution structure by business models. We conducted an interview survey for business individual experts for distribution modelling. Based on the result of the survey, this paper describes issues of distribution structure and suggests alternatives for policy making in the Korea e-Learning market.

Ljung-Box Test in Unit Root AR-ARCH Model

  • Kim, Eunhee;Ha, Jeongcheol;Jeon, Youngsook;Lee, Sangyeol
    • Communications for Statistical Applications and Methods
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    • v.11 no.2
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    • pp.323-327
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    • 2004
  • In this paper, we investigate the limiting distribution of the Ljung-Box test statistic in the unit root AR models with ARCH errors. We show that the limiting distribution is approximately chi-square distribution with the degrees of freedom only depending on the number of autocorrelation lags appearing in the test. Some simulation results are provided for illustration.

Analyzing the Determinants of Online Seafood Purchasing Using Heckman's Ordered Probit Sample-Selection Model (Heckman 순서형 프로빗 모형을 이용한 소비자의 온라인 수산물 구매 결정요인 분석)

  • Heon-Dong Lee
    • The Journal of Fisheries Business Administration
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    • v.55 no.1
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    • pp.37-53
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    • 2024
  • In the post-COVID-19, the food industry is rapidly reshaping its market structure toward online distribution. Rapid delivery system driven by large distribution platforms has ushered in an era of online distribution of fresh seafood that was previously limited. This study surveyed 1,000 consumers nationwide to determine their online seafood purchasing behaviors. The research methodology used factor analysis of consumer lifestyle and Heckman's ordered probit sample-selection model. The main results of the analysis are as follows. First, quality, freshness, selling price, product reviews from other buyers, and convenience are particularly important considerations when consumers purchase seafood from online shopping. Second, online retailers and the government must prepare measures to expand seafood consumption by considering household characteristics and consumer lifestyles. Third, it was analyzed that consumers trust the quality and safety of seafood distributed online platforms. It is not possible to provide purchase incentives to consumers who consider value consumption important, so improvement measures are needed. The results of this study are expected to provide implications on consumer preferences to online platforms, seafood companies, and producers, and can be used to establish future marketing strategies.