19,320 research outputs found

    Exploiting Qualitative Information for Decision Support in Scenario Analysis

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    The development of scenario analysis (SA) to assist decision makers and stakeholders has been growing over the last few years through mainly exploiting qualitative information provided by experts. In this study, we present SA based on the use of qualitative data for strategy planning. We discuss the potential of SA as a decision-support tool, and provide a structured approach for the interpretation of SA data, and an empirical validation of expert evaluations that can help to measure the consistency of the analysis. An application to a specific case study is provided, with reference to the European organic farming business

    A Credit Rating Model in a Fuzzy Inference System Environment

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    One of the most important functions of an export credit agency (ECA) is to act as an intermediary between national governments and exporters. These organizations provide financing to reduce the political and commercial risks in international trade. The agents assess the buyers based on financial and non-financial indicators to determine whether it is advisable to grant them credit. Because many of these indicators are qualitative and inherently linguistically ambiguous, the agents must make decisions in uncertain environments. Therefore, to make the most accurate decision possible, they often utilize fuzzy inference systems. The purpose of this research was to design a credit rating model in an uncertain environment using the fuzzy inference system (FIS). In this research, we used suitable variables of agency ratings from previous studies and then screened them via the Delphi method. Finally, we created a credit rating model using these variables and FIS including related IF-THEN rules which can be applied in a practical setting

    Research Agenda on Multiple-Criteria Decision-Making: New Academic Debates in Business and Management

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    [EN] Systemic disruptions are becoming more continuous, intense, and persistent. Their effects have a severe impact on the economy in volatile, uncertain, complex, and ambiguous (VUCA) environments that are increasingly transversal to productive sectors and activities. Researchers have intensified their academic production of multiple-criteria decision-making (MCDM) in recent years. This article analyzes the research agenda through a systematic review of scientific articles in the Web of Science Core Collection according to the Journal Citation Report (JCR), both in the Social Sciences Citation Index (SSCI) and in the Science Citation Index Expanded (SCIE). According to the selected search criteria, 909 articles on MCDM published between 1979 and 2022 in Web of Science journals in the business and management categories were located. A bibliometric analysis of the main thematic clusters, the international collaboration networks, and the bibliographic coupling of articles was carried out. In addition, the analysis period is divided into two subperiods (1979¿2008 and 2009¿2022), establishing 2008 as the threshold, the year of the Global Financial Crisis (GFC), to assess the evolution of the research agenda at the beginning of systemic disruptions. The bibliometric analysis allows the identification of the motor, basic, specialized, and emerging themes of each subperiod. The results show the similarities and differences between the academic debate before and after the GFC. The evidence found allows academics to be guided in their high-impact research in business and management using MCDM methodologies to address contemporary challenges. An important contribution of this study is to detect gaps in the literature, highlighting unclosed gaps and emerging trends in the field of study for journal editors.Castello-Sirvent, F.; Meneses-Eraso, C. (2022). Research Agenda on Multiple-Criteria Decision-Making: New Academic Debates in Business and Management. Axioms. 11(10):1-37. https://doi.org/10.3390/axioms11100515137111

    Tone from the Top in Risk Management: A Complementarity Perspective on How Control Systems Influence Risk Awareness

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    Prompted by the weaknesses of standardized risk management approaches in the aftermath of the 2008 financial crisis, scholars, regulators, and practitioners alike emphasize the importance of creating a risk-aware culture in organizations. Recent insights highlight the special role of tone from the top as crucial driver of risk awareness. In this study, we take a systems-perspective on control system design to investigate the role of tone from the top in creating risk awareness. In particular, we argue that both interactive and diagnostic use of budgets and performance measures interact with tone from the top in managing risk awareness. Our results show that interactive control strengthens the effect of tone from the top on risk awareness, while tone from the top and diagnostic control are, on average, not interrelated with regard to creating risk awareness. To shed light on the boundary conditions of the proposed interdependencies, we further investigate whether the predicted interdependencies are sensitive to the level of perceived environmental uncertainty. We find that the effect of tone from the top and interactive control becomes significantly stronger in a situation of high perceived environmental uncertainty. Most interestingly, tone from the top and diagnostic control are complements with regard to risk awareness in settings of low perceived environmental uncertainty and substitutes at high levels of perceived environmental uncertainty.Series: Department of Strategy and Innovation Working Paper Serie

    Semantic discovery and reuse of business process patterns

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    Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

    A Case Study Approach for Managing Risks & Challenges When Expanding to Emerging Markets

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    Globalization created new opportunities and many companies decide to expand to take advantage of these opportunities to improve their competitiveness. The present study, using a case study methodology, examines the expansion of three large companies (IKEA, Coca Cola and Kellogg's) in emerging markets. Through a critical literature review and review of corporate reports, the study analyzes companies’ adopted strategies and practices, influential factors and risks when expanding abroad, providing the rationale behind their strategic choices. The study findings, applying theory into practice, indicate the factors and practices that are important to be considered by companies operating in a foreign environment in order to address business risks, and concludes that in order to be successful they have to incorporate into their strategy effective risk management policies to mitigate risks and turn challenges into opportunities. The study bridges risk management and strategy development

    An overview of fuzzy multi-criteria decisionmaking methods in hospitality and tourism industries: bibliometrics, methodologies, applications and future directions

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    Stakeholders in hospitality and tourism industries are involved in many decision-making scenarios. Multi-criteria decision-making (MCDM) methods have been widely used in hospitality and tourism industries. Although some articles summarised the applications of MCDM models in hospitality and tourism industries, they ignored the fuzziness of individual cognition in an uncertain environment. In addition, these surveys lacked a comprehensive overview from the perspective of bibliometrics analysis and content analysis regarding the whole hospitality and tourism industries. To analyse the applications of fuzzy MCDM methods in hospitality and tourism industries and further explore future research directions, this article reviews 85 selected papers published from 1997 to 2022 regarding fuzzy MCDM models applied in hospitality and tourism industries. Through analysing the results of bibliometric analysis, methodologies and applications, we found that analytic hierarchy process (AHP) and TOPSIS methods are the most widely used MCDM methods, and tourism evaluation, hotel evaluation and selection, tourism destination evaluation and selection are the most attractive research issues in hospitality and tourism industries. Finally, future research directions are proposed from three aspects. This article provides insights for researchers and practitioners who have interest in fuzzy MCDM models in hospitality and tourism industries

    Diagnosing economic security of an industrial enterprise

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    In the article it is shown, that the basic methodological approaches to the analysis of the probability of bankruptcy industry, have different imperfections. The necessity of appraisal of the crisis on the basis of weak signals and early prediction of potential crisis, leaded to the creation of the model diagnosis of the industrial enterprises' crisis, which is based on an analysis of all components of economic security, and allows us to estimate the depth of the crisis the company. Assessment of the level of economic security is done from the perspective of the several components that characterize the presence of the crisis at the enterprise and the use of certain elements of the economic potential of the enterprise. To estimate the signal intensity of the loss of economic security, it is proposed to use the theory of fuzzy sets. The mechanism of calculating the integral indicator of the economic security level, which reflects the efficiency of the economic potential of the company was given. Also, it should be noted, that the method of analysis of economic security may be subject to adjustment in the context of the analyzed enterprise specifics and characteristics of the industry. The paper addresses important scientific and practical tasks for the formation of the methodological approach for the level of economic security diagnosing. The main practical recommendations for the use of given research is to use the algorithm of choice strategy of crisis management now, depending on the depth of the crisis and identifying elements of economic security for its respective recess.Запропоновано модель діагностики кризи промислового підприємства, яка базується на аналізі всіх складових економічної безпеки та дозволяє оцінити глибину кризи підприємства. Для оцінки інтенсивності сигналів про втрату економічної безпеки пропонується використовувати теорію нечітких множин. Запропоновано алгоритм формування антикризової стратегії підприємства залежно від виду кризи.Предложена модель диагностики кризиса промышленного предприятия, основанная на анализе всех составляющих экономической безопасности, которая позволяет оценить глубину кризиса предприятия. Для оценки интенсивности сигналов о потере экономической безопасности предлагается использовать теорию нечетких множеств. Предложен алгоритм формирования антикризисной стратегии предприятия в зависимости от вида кризиса

    DIAGNOSING ECONOMIC SECURITY OF AN INDUSTRIAL ENTERPRISE

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    In the article it is shown, that the basic methodological approaches to the analysis of the probability of bankruptcy industry, have different imperfections. The necessity of appraisal of the crisis on the basis of weak signals and early prediction of potential crisis, leaded to the creation of the model diagnosis of the industrial enterprises' crisis, which is based on an analysis of all components of economic security, and allows us to estimate the depth of the crisis the company. Assessment of the level of economic security is done from the perspective of the several components that characterize the presence of the crisis at the enterprise and the use of certain elements of the economic potential of the enterprise. To estimate the signal intensity of the loss of economic security, it is proposed to use the theory of fuzzy sets. The mechanism of calculating the integral indicator of the economic security level, which reflects the efficiency of the economic potential of the company was given. Also, it should be noted, that the method of analysis of economic security may be subject to adjustment in the context of the analyzed enterprise specifics and characteristics of the industry. The paper addresses important scientific and practical tasks for the formation of the methodological approach for the level of economic security diagnosing. The main practical recommendations for the use of given research is to use the algorithm of choice strategy of crisis management now, depending on the depth of the crisis and identifying elements of economic security for its respective recess
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