Risk assessment of unfavorable interorganizational relationships in CSR projects considering the logistic aspects

• Autorzy: Krechowicz Maria , Kiliańska Katarzyna , Sobolewski Artur

Identyfikatory

DOI

10.29119/1641-3466.2022.162.22

• Języki publikacji: EN

Abstrakty

EN

Purpose: The aim of this paper is to present a new model for risk assessment of unfavorable interorganizational relationships, among other things, in ventures classified as corporate social responsibility (CSR) projects. Design/methodology/approach: Scenario analysis, brainstorm sessions, literature study and own observations of interorganizational projects were used to develop a list of unwanted events and factors determining their occurrence. In the proposed risk assessment model, fault tree analysis and fuzzy logic were applied for qualitative and quantitative risk analysis. Thanks to applying the elements of fuzzy sets theory, it was possible to decrease the uncertainty and lack of precision in obtaining crisp values of the basic events’ probability. Findings: In this work 13 basic events and 41 risk factors determining occurrence of unfavorable interorganizational relationships in ventures were identified and described. The proposed model enabled to carry out qualitative and quantitative risk assessment of unfavorable interorganizational relationships projects. Its practical application was shown in an example of interorganizational CSR project concerning the organization of a mass event, considering its logistics aspects. Research limitations/implications: It is necessary to involve experts in risk assessment. This could be overcome by applying machine learning in future research. Practical implications: The application of the proposed model allows to effectively identify the critical risks, which should be of particular attention during the risk treatment stage. It aims to give a helping hand to all managers and practitioners who want to deliver attainable and successful interorganizational projects, supporting meeting the expectation of the engaged stakeholders. Social implications: Socially responsible activities contribute to solving and counteracting social problems. Originality/value: A novel risk assessment model of unfavorable interorganizational relationships in which 13 basic events and 41 risk determinants were considered. The model was presented at ventures classified as Corporate Social Responsibility projects.

Słowa kluczowe

EN

risk assessment; interorganizational relationships; Corporate Social Responsibility; fuzzy logic; logistics for the organization of a mass event

PL

ocena ryzyka; relacje międzyorganizacyjne; Społeczna odpowiedzialność biznesu; logika rozmyta; logistyka organizacji imprezy masowej

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2022
• Tom: z. 162
• Strony: 391--416
• Opis fizyczny: Bibliogr. 89 poz.

Twórcy

autor

Krechowicz Maria

• Kielce University of Technology, Faculty of Management and Computer Modelling

• https://orcid.org/0000-0002-4213-3149

autor

Kiliańska Katarzyna

• Kielce University of Technology, Faculty of Management and Computer Modelling

• https://orcid.org/0000-0002-9170-266X

autor

Sobolewski Artur

• Fundacja Edukacji i Dialogu Społecznego PRO CIVIS

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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).