• Title/Summary/Keyword: Uncertainty Management Theory

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Determinants of Opportunism between Franchisor and Franchisee: Focusing on the Moderating Effect of Startup Experience

  • LEE, Jibaek;LEE, Hee Tae;BAE, Jungho
    • The Korean Journal of Franchise Management
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    • v.12 no.1
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    • pp.35-44
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    • 2021
  • Purpose: This study examines the opportunism moderating effect by the startup experience in the relationship between franchisor and franchisees. In the case of a franchise system that has a continuous relational exchange transaction, relationship management is a very important activity because the relationship management between franchisor and franchisees improves the quality of the relationship. Nevertheless, there is insufficient of research on opportunism, which is a negative factor in managing the relationship between franchisor and franchisees in continuous relationship. Research design, data and methodology: This study, we explore the cause of opportunism based on transaction cost theory through prior research and establish a research model based by goal incongruity, uncertainty, information asymmetry, transaction specific assets, the relevance to determinant of opportunism and the startup experienced which is a moderating variable. To verify several hypotheses, the data were collected from 300 out of 1,760 domestic franchisees and analyzed using multiple regression analysis with SPSS program. Results: The findings are as follows. Goal incongruity did not affect opportunism. Opportunism increased as uncertainty increased, and as information asymmetry increased, opportunism increased. An opportunism decreased as transaction specific assets increased. Moreover, the findings show that startup experience only plays a moderating role in the relationship between information asymmetry and opportunism. Therefore, 4 out of 8 hypotheses were supported. Conclusions: The findings show that uncertainty, information asymmetry, and transaction specific assets are the determinants of opportunism. In addition, the results of the analysis of the moderating role of startup experience show that the less entrepreneurial experience, the greater the influence of information asymmetry on opportunism. Our findings mean that maintaining a successful relationship between franchisors and franchisees is possible when franchisors provide knowledge sharing, goal sharing, environmental sharing, and management information sharing to franchisees. In addition, the findings of this study shows that the contract content and management should be changed according to the entrepreneurial experience. In other words, the franchisors must share and integrate the accumulated franchisees' and franchisors' experience with the franchisees to create a synergy that can lead to successful bilateral relationship maintenance, which in turn reduces opportunism.

Variability Analysis in QFD: Prioritizing Engineering Characteristics (품질기능전개에서의 변동성 분석: 설계특성의 우선순위 결정)

  • Min, Dae-Gi;Kim, Gwang-Jae
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2004.05a
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    • pp.479-482
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    • 2004
  • This paper proposes a new framework for variability analysis in QFD. The proposed framework considers the uncertainty of the information contained in the house of quality chart and analyzes the variability resulting in the outcome. A new framework provides a dominance index and a difference index for each pairwise ECs. The indices are helpful to evaluate priorities of each pairwise EC.

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A Study on the Effect of Supplier's Strategy on New Product Development Performance (신제품 공동 개발 시 공급자의 전략이 신제품 개발성과에 미치는 영향에 대한 연구)

  • Hwang, Sunil;Suh, Eung-Kyo
    • Journal of Distribution Science
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    • v.15 no.9
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    • pp.95-107
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    • 2017
  • Purpose - In the joint development of new products, buyers and suppliers exchange information to solve various problems. Uncertainty and ambiguity are typical examples. Uncertainty refers to the lack of information to solve the problem, and equivocality refers to the case where the information is interpreted in multiple processes in the process of providing the information. These uncertainty and equivocality cause new products to be delayed in their development and adversely affect quality. However, unfortunately, there is a lack of researches on how the uncertainty and equivocality of such concepts control the results of new product joint development. But, smooth communication and effective exchange of information is not emphasized only in the general organization. The importance of the new product joint development projects to achieve the two organizations' common goals becomes even greater. The purposes of this study are to analyse the effect of supplier's strategy on the NPD performance and moderating effect of uncertainty and equivocality. Research design, data, and methodology - In order to make a contribution to the lack of academic researches in Korea, this study collects data through questionnaires based on organizational information processing theory and previous studies, and conducts empirical analysis. Results - As a result, the product modularization strategy and the strategic supply chain relationship positively influenced the new product development performance - return on investment and ease of manufacturing. And the interaction effect of uncertainty and equivocality with supplier's strategy - product modularity strategy and strategic supply chain management relationship - reduces or negates the influence of product modularization strategy on new product development performance. Conclusions - This implies that it is important to control uncertainty and equivocality in order for the supplier strategy to have a positive effect on new product development performance. It also emphasizes the necessity of sharing information appropriately for companies that do not want to share the information as possible due to their fear of loss of competitive advantage in the joint development of new products. Because this kind of negative policy might let uncertainty and equivocality be happen in new product joint development process.

Supplier Evaluation in Green Supply Chain: An Adaptive Weight D-S Theory Model Based on Fuzzy-Rough-Sets-AHP Method

  • Li, Lianhui;Xu, Guanying;Wang, Hongguang
    • Journal of Information Processing Systems
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    • v.15 no.3
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    • pp.655-669
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    • 2019
  • Supplier evaluation is of great significance in green supply chain management. Influenced by factors such as economic globalization, sustainable development, a holistic index framework is difficult to establish in green supply chain. Furthermore, the initial index values of candidate suppliers are often characterized by uncertainty and incompleteness and the index weight is variable. To solve these problems, an index framework is established after comprehensive consideration of the major factors. Then an adaptive weight D-S theory model is put forward, and a fuzzy-rough-sets-AHP method is proposed to solve the adaptive weight in the index framework. The case study and the comparison with TOPSIS show that the adaptive weight D-S theory model in this paper is feasible and effective.

Soft Computing as a Methodology to Risk Engineering

  • Miyamoto Sadaaki
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2006.05a
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    • pp.3-6
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    • 2006
  • Methods for risk engineering is a bundle of engineering tools including fundamental concepts and approaches of soft computing with application to real issues of risk management. In this talk fundamental concepts and soft computing approaches of risk engineering will be introduced. As the term of risk implies both advantageous and hazardous uncertainty in its origins, a fundamental theory to describe uncertainties is introduced that includes traditional probability and statistical models, fuzzy systems, as well as less popular modal logic. In particular, modal logic capabilities to express various kinds of uncertainties are emphasized and relations with rough sets and evidence theory are described. Another topic is data mining related to problems in risk management. Some risk mining techniques including fuzzy clustering are introduced and a recently developed algorithm is overviewed. A numerical example is shown.

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The Effect of Functional Congruence on the Information Search Cost Reduction, Positive Emotions, Negative Emotions, and Loyalty in Restaurant (외식기업의 기능적 일치성이 정보탐색비용의 절감과 긍정적 감정, 부정적 감정 그리고 충성도에 미치는 영향)

  • HAN, Youngwee;CHOI, Sanghyuk;SON, Jung Young
    • The Korean Journal of Franchise Management
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    • v.13 no.3
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    • pp.45-55
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    • 2022
  • Purpose: Consumers' experience of functional attributes is remembered, and the experience lowers the cost of consumers' input from their point of view and reduces uncertainty. It also plays an important role in consumers' positive emotions and responses. Accordingly, if information search costs are reduced in terms of the costs perceived by consumers about restaurants, a strategy differentiated from other companies can be established. Therefore, this study investigated the effect of functional congruence of restaurant stores on information search cost reduction, positive/negative emotions, and loyalty. Research Design, Data, and Methodology: This study investigated functional congruence, information search cost reduction, and positive/negative emotions. The structural relationship between loyalty was analyzed. To verify this, a research hypothesis was established based on previous studies and a research model was constructed. The questionnaire items were modified and used according to the current study, based on previous studies. The data were collected using the questionnaire method from 187 people who had dining out experience. Frequency analysis was performed to confirm demographic characteristics. Reliability, convergent validity, and discriminant validity of the collected data were verified. The research model was analyzed with a structural equation modeling (SmartPLS 4). Results: The findings show that functional congruence had significant positive effects on information search cost reduction and positive emotion, but no significant effect on negative emotion. Information search cost reduction had significant positive effects on positive emotion/negative emotion but did not significantly affect loyalty. Lastly, both positive and negative emotions had significant positive effects on loyalty. Conclusion: Based on transaction cost theory, this study found how functional congruence and information search cost reduction influence consumers' emotions. The functional attributes of restaurants were perceived by customers as information, thus uncertainty was decreased. Finally, appropriate management strategies and implications of functional congruence and information search cost in the restaurant were suggested.

The Uncertainty as the Healing Function in the Poetry of Robert Frost (프로스트 시에 나타나는 치유적 기능으로서의 불확실성)

  • Kim, Kyoung-Soon
    • Journal of Digital Convergence
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    • v.17 no.12
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    • pp.337-344
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    • 2019
  • The purpose of this study is to explore the uncertainty as the healing function in the poetry of Robert Frost. One of the therapeutic functions in poetry therapy is to make us look into life from a new perspective, which appears in the uncertainty of his poetry. His uncertainty is based on his peculiar poetic theory and philosophy of dualism. This paper reviews these things and deals with aspects of the uncertainty in detail through his poems. The result of this study shows that Frost conveys elements of ambiguity, illogical development and unpredictability in our society and fear, loneliness and anxiety in our daily life, and also offers realistic depictions of complex life as a therapeutic medium for overcoming these problems. So it seems that his poetry provides us with a recovery of psychic health and a possibility of healing and personal growth. Furthermore we need a practical in-depth study on the healing function of English poetry.

Acceleration sensor, and embedded system using location-aware

  • He, Wei;Nayel, Mohamed
    • Journal of Convergence Society for SMB
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    • v.3 no.1
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    • pp.23-30
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    • 2013
  • In this paper, fuzzy entropy and similarity measure to measure the uncertainty and similarity of data as real value were introduced. Design of fuzzy entropy and similarity measure were illustrated and proved. Obtained measures were applied to the calculating process and discussed. Extension of data quantification results such as decision making and fuzzy game theory were also discussed.

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Water Quality Management Strategies Evaluation of Juam Lake by A Fuzzy Decision-Making Method (퍼지 의사결정법에 의한 주암호 수질관리 전략 평가)

  • Lee, Yong Woon;Hwang, Yun Ae;Lee, Sung Woo;Lee, Byong Hi;Choi, Jung Wook
    • Journal of Korean Society of Environmental Engineers
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    • v.22 no.4
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    • pp.699-712
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    • 2000
  • Juam lake is a major water resource for the industrial and agricultural activities as well as the resident life of Kwangju and Chonnam regions. However, the water quality of the lake is getting worse due to a large quantity of pollutant inflowing to the lake. Thus, the strategy for achieving the water quality goal of the lake should be developed as soon as possible. When there are various alternatives that can be used as the strategy, several criteria based on the achievement degree of water quality goal, the applicability of technique and social environment, and the reasonableness of the cost required are made to evaluate and rank the alternatives. However, it is difficult to make a decision when there are multiple criteria and conflicting objectives and specifically the estimated values of criteria contain elements of uncertainty. The uncertainty stems from the lack of available information, the randomness of future situation, and the incomplete knowledge of expert. As the degree of uncertainty is higher, the decision becomes more difficult. In this study, a fuzzy decision-making method is presented to assist decision makers in evaluating various alternatives under uncertainty. The method allows decision makers to characterize the associated uncertainty by applying fuzzy theory and incorporate the uncertainty directly into the decision making process for selecting the "best" alternative so decisions can be made that are more appropriate and realistic than those made without taking uncertainty in account.

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