Objective: The main objective of the study is to analyse the impact of the economic crisis caused by the COVID-19 pandemic on the forecasting of corporate bankruptcy in Poland. The analysis verifies the accuracy of models used to make forecasts and examines the determinants of corporate bankruptcy before and after the pandemic. Research Design & Methods: The study used financial data from 121,000 companies for the 2015–2022 period. Five variable selection methods, eight classification methods and 1,000 different random learning and testing samples were used to perform the study. Findings: The results indicate different determinants of corporate bankruptcy before and after the outbreak of the COVID-19 pandemic. Models constructed and tested before the pandemic had lower classification accuracy than models constructed and tested after the outbreak. Implications / Recommendations: The results confirm the need to reconstruct and test models for forecasting corporate bankruptcy during periods of dynamic changes in capital markets, such as those triggered by the COVID-19 pandemic. Contribution: The considerations presented in the article deepen knowledge of the impact of the economic crisis on the forecasting of corporate bankruptcy in Poland. To date, no research has been conducted with such a wide range of research methodology used in the context of the crisis caused by the COVID-19 pandemic.
Objective: The aim of the study conducted in the article is to examine whether the split payment mechanism (SPM) affects the financial liquidity of enterprises in section F – construction. It was also determined whether adjustments to liquidity ratios should be made for enterprises whose predominant activity is subject to mandatory SPM. Research Design & Methods: The research was based on a literature review concerning VAT taxation and SPM. An analysis of industry reports was conducted to assess the impact of this mechanism on the financial liquidity of enterprises. Financial analysis tools were utilised to verify whether the implementation of split payment affects the ability of enterprises in section F – construction to settle their liabilities. The study focused on construction sector enterprises subject to mandatory SPM. Calculations were based on financial statements from 2018 and 2022, allowing a comparison of the financial liquidity situation in the construction sector both before and after the introduction of mandatory SPM. Financial ratios calculated for 2022 were also compared before and after adjustments for restricted funds in bank accounts. Hypotheses were verified using descriptive statistics and inferential statistics tools. Due to deviations from linearity and normal distribution, tools insensitive to these behaviours were used primarily, such as the median to describe the average level, Spearman’s rank correlation coefficient to describe dependencies, and the sign tests and Wilcoxon tests to examine the differences in ratio values before and after adjustment. Parametric tools for description and inference were used only as a complement to non-parametric tools. Findings: The research results show lower values of financial liquidity ratios after adjustment for funds accumulated in the VAT account. The current ratio index values are not significantly different. This means that the introduction of SPM did not significantly affect the ability of enterprises from the construction sector to settle their liabilities on an ongoing and timely basis. Moreover, the ability to allocate funds accumulated in a separate bank account to cover public law liabilities results in a reduction in the number of days needed to repay liabilities. Implications / Recommendations: It is recommended to adjust classical financial ratios by the value of funds accumulated in the VAT account. Making this type of exclusions contributes to a more precise calculation of individual financial liquidity ratios. This leads to more precise results and an appropriate assessment of the financial situation of the audited company. Contribution: The research results in a new approach to the construction of financial ratios used to evaluate the company. It also shows the implications of the introduction of SPM on the functioning of enterprises in the construction sector.
Objective: To determine the value of the intellectual capital of joint-stock companies from the gaming sector listed on the Warsaw Stock Exchange Main Market in the years 2022–2023. Research Design & Methods: The intellectual capital of companies in the gaming sector was calculated using three methods: the difference between market value and book value, economic value added and profit from knowledge capital. Annual financial reports for 2022 and 2023 were used for this purpose. The data were subjected to statistical analysis using methods such as the mean, median, and skewness, Pearson’s linear correlation coefficient, and the Shapiro-Wilk normality test. Findings: The intellectual capital of companies in the gaming sector is highly differential. Three companies have the highest level of intellectual capital, and the value of intellectual capital in other companies in the gaming sector differs significantly from the intellectual capital in these three companies. Such intellectual capital measures as the difference between market value and book value, economic value added and profit from knowledge capital are positively correlated, making them reliable and consistent tools for measuring intellectual capital in the gaming sector. Implications / Recommendations: The study’s findings can benefit both the managers of gaming companies and stock investors, providing insights into the value and trends of intellectual capital in joint-stock companies within this sector during 2022–2023. The author recommends evaluating intellectual capital using multiple methods and comparing results before managers or investors make decisions. Contribution: This study is innovative due to the lack of recent research on the intellectual capital of joint-stock companies in the gaming sector.
Objective: The article aims to identify the characteristics that consumers attribute to food products labelled with eco-labels or social labels. Research Design & Methods: A critical literature analysis and a survey using a proprietary research tool were conducted. Data from 801 respondents was collected using PAPI, CAWI, and CATI techniques. Pearson’s χ2 test and the data mining technique of association analysis were used to analyse the data. Findings: Consumers’ perceptions of food products with eco-labels or social labels, differentiated by gender, age, education, and occupational status, were determined. Determinants of trust in products with eco-labels or social labels, and consumers’ willingness to pay a higher price for such products were indicated. Implications / Recommendations: The research findings have practical value and may enable businesses to more effectively influence consumer purchasing behaviours by designing marketing communications that appeal to the characteristics of food products with eco-labels or social labels. Companies may implement the recommendations outlined in the article to contribute to increasing sales volume and profitability. Contribution: Research findings contribute to the current debate on the perception of food products labelled with eco-labels or social labels. They indicate the determinants of consumer trust in products with eco-labels or social labels and tendencies to pay a higher price for them. They also serve as guidelines for employees of businesses responsible for creating marketing communications regarding products with environmental or social designations.
Objective: The aim of the article is to propose an alternative approach to constructing a design of experiments that allows for identifying settings of factor levels so that the response variables achieve desired values. The presented method will be used to determine the parameters of the wood pellet production process, which is characterised by two response variables. Research Design & Methods: This paper presents a proposal for the construction of an experimental design that allows for the inclusion of two outcome variables characterising the production process under study. The method employs an appropriate synthetic variable and considers the desired ranges of variation of the outcome variables. Furthermore, permutation tests were utilised in the analysis of the experimental results. Findings: A method of constructing an experimental plan was proposed, which allowed unambiguous recommendations to be made for the wood pellet production process under study. The settings of the individual factors for which the quality of the pellets produced and the efficiency of the production line take on values within the specified range were indicated. Implications / Recommendations: The presented method of constructing the experimental plan, based on the analysis of an appropriately constructed synthetic variable, allowed the wood pellet production process to be designed accordingly. Contribution: An alternative method of constructing an experimental design has been proposed that allows for the analysis of the influence of factors on the two outcome variables that characterise the production process under study.
Objective: The aim of this article is to compare the diffusion processes of innovations in wind energy among selected European countries. Research Design & Methods: The study used the Bass model, with parameters estimated separately for each country, and then, based on the obtained parameter estimates, a taxonomic analysis of the compared countries was carried out. This enabled the identification of regularities between the obtained indicators of innovation, imitation and market potential. Ward’s method, using Euclidean distance, was applied in the cluster analysis, and the contribution of variables to differentiating the resulting groups of countries was assessed using ANOVA. Findings: The results of the taxonomic analysis enabled the isolation of the diffusion profiles of innovations in wind energy technologies. In particular, it has been proven that innovators are large countries with strong economies, high levels of GDP and a high share of spending on research and development. The imitators of such technologies are primarily countries in Central, Eastern and Southern Europe, where the level of expenditure on research and development is lower than in Western Europe. Implications / Recommendations: The results presented in the article may support the development of an energy system with a high share of renewable energy sources. Moreover, they can be helpful in assessing the effectiveness of the actions of individual countries’ governments in decarbonising their economies. Contribution: The research results presented in this article fill the research gap in the field of comparative analysis of innovation diffusion profiles in wind energy in European countries.
Objective: The purpose of the study was to evaluate the validity and reliability of the proposed research questionnaire for recognising consumer beliefs towards sustainable luxury. Research Design & Methods: The study employed the diagnostic survey method with the help of computer-assisted web interview, statistical analysis, synthesis, and logical inference. Findings: The evaluation of the validity and reliability of the authors’ survey questionnaire showed that it was an appropriate tool for studying the two indicators adopted, namely: the luxury product perception index and the luxury product buyers’ perception index. A detailed evaluation of the questionnaire did not indicate the need for modification, which means that it can be proposed in this version for further in-depth research. Implications / Recommendations: From a practical perspective, the proposed tool can be used by producers to identify the opinions of different age groups so that a better marketing strategy can be planned. Contribution: Our study can be considered an original contribution to science when it comes to tools for surveying consumer opinion on luxury products in the context of sustainability requirements.
Objective: The purpose of the article is to analyse the knowledge, opinions, and attitudes of young consumers regarding electromobility. Research Design & Methods: The analysis is based on a computer assisted web interviewing survey conducted among young consumers attending the Krakow University of Economics. The results were analysed using frequency distribution analysis and a chi-squared independence test. We used Cramér’s V to determine the degrees of association among the variables. Findings: The study shows that the surveyed group of respondents exhibits a moderate level of knowledge about electromobility and the environmental impact of electric vehicles. According to the respondents, the most substantial barrier to electromobility is the availability of charging stations and the cost of purchasing electric vehicles. Implications / Recommendations: The present study addresses part of a research gap found in the literature concerning young consumers’ knowledge and opinions about electromobility. Contribution: The research contributed to new insights about the knowledge, attitudes and opinions of young consumers about electromobility.
Objective: The aim of this article is to investigate monetary policy effects on the house prices for the panel of 12 Central and Eastern European (CEE-12) countries, 12 small European countries (EU-12) and 5 largest European countries plus the UK (EU-6). Research Design & Methods: A five-variable Panel Vector Autoregressive (PVAR) model is estimated for quarterly data from 2010Q1 to 2023Q2. Findings: An increase in the short-term interest rate has a depressing effect on the house prices in the European countries, along with higher inflation and exchange rate depreciation (to less extent). An increase of output over the business cycle brings about a temporary decrease in house prices in both CEE-12 and the EU-12 countries. As intuitively expected, a housing boom is expansionary and inflationary in all European countries, though with a different time profile. There is strong evidence of the interest rate response to house prices in the CEE-12 countries and the EU-12 countries (at longer horizons). Implications / Recommendations: This paper supports the proposals for using monetary tightening in response to the boom in the housing market. It is especially the case for the CEE countries where a two-way causality between the short-term interest rates and house prices seems to be particularly strong. Contribution: This paper contributes to studies of stabilisation properties of monetary policies in the European countries, in the presence of real and nominal effects of housing markets.
Objective: So far, the research focusing on the assessment of the impact of economic crises on value relevance in banks mainly concerned the global financial crisis, while other crises such as the pandemic were not comprehensively analysed in this regard. The aim of the article was to analyse the impact of COVID-19 pandemic, considered an economic crisis, on the value relevance of banks. The value relevance of earnings, book values, and cash flows was taken into consideration in the research. Research Design & Methods: Value relevance models with share price as an endogenous variable and accounting variables as exogenous ones were estimated. The impact of the COVID-19 pandemic was captured by using variables’ interactions. Panel data models with fixed effects were employed. The sample consisted of Polish listed banks. The analysis period was 2017–2024, semi-annual data were used. Findings: Generally, positive value relevance was found for earnings and deposits, but not for other book values (equity and loans). The impact of COVID-19 pandemic on the value relevance of book values was significantly negative, while it was not significant for earnings. Such results were partially consistent with the hypotheses developed. Value relevance of operating cash flows was not considered due to the multicollinearity issue. Implications / Recommendations: The paper provides insight into the drivers of banks’ market values and their changes during economic crises from the investor’s perspective. Such knowledge could be valuable from the perspective of both investors and bank management. Contribution: The impact of COVID-19 pandemic on the value relevance of earnings and book values in banks has not been analysed yet. Moreover, the semi-annual data was used, while previous research on value relevance in banks was mostly based on annual or quarterly data.
Objective: This article aims to calculate a centrality index for Mazowieckie voivodeship using an empirical application of Christaller’s central place theory. Research Design & Methods: We calculate the value of a centrality index for 89 cities in Mazowieckie voivodeship using data for 32 central activities (independent variables). The proposed centrality index (synthetic indicator based on a non-model method) can be used to identify cities that are important for regional development. The population-adjusted centrality index shows which cities overperform, or underperform, compared to their size; the scores are useful for the identification of the hidden centres of urban activity. Findings: The analysis identifies three types of cities that are of interest in light of the central place theory: 16 central places (centrality index ≥ 3), 27 hidden places (population-adjusted centrality index ≥ 2), and three hidden central places (classified as both central places and hidden places). The regional supremacy of Warsaw is visible in its perfect centrality index score; other central places include Radom and Płock. On the other hand, hidden places are exemplified by Lipsko, Przysucha, and Podkowa Leśna. Wołomin, Grodzisk Mazowiecki, and Wyszków are classified as the three hidden central places of the Mazowieckie voivodeship. Implications / Recommendations: Hidden central places can be crucial for the future growth of the region. The dominant role of Warsaw is not going to be challenged, but, with sufficient support, the hidden central places could disperse geographically some of the essential functions in a more sustainable, inclusive, and accessible way. Contribution: The research contributes to the understanding of the regional development of Mazovia and the practical applications of the central place theory. The devised method can be used in the analysis of different regions.
Objective: The aim of the article is to present the AI solutions used by accounting departments and the challenges they bring to the accounting field. Research Design & Methods: The article was developed based on the literature, reports of companies which are currently implementing AI solutions in their accounting departments, and author’s own research findings. The empirical part of the article includes the results of qualitative research. In the research process, the method of a diagnostic survey using the questionnaire technique was used. The study was conducted from February to March 2024, and involved 108 participants. The selection of respondents was deliberate and included a group of companies from the Małopolskie province. Findings: The conducted research confirms that AI solutions have not been widely used in finance and accounting departments yet. However, respondents recognise the benefits and potential that the introduction of AI solutions and tools brings in terms of improving processes and tasks carried out in various enterprises. The obtained responses confirm that respondents are open to the introduction of new technologies and intend to use them in their organisations in the future. They do, however, express certain concerns about software errors or potential changes in employment levels. Implications / Recommendations: AI solutions will be increasingly used in accounting. The challenge for future accounting departments will be to create a harmonious environment in which artificial intelligence will collaborate with human intelligence. The profession of an accountant will not disappear as a result of the introduction of improvements and the transfer of routine tasks to machines. Modern accounting systems will still require human supervision. However, the role of the accountant will change, as they will become operators of intelligent accounting applications in the future. Contribution: The article addresses the current yet relatively scientifically understudied area of the practical use of AI solutions in the accounting departments of enterprises. The article partially fills the research gap and is one of the first studies presenting the results of research on the use of artificial intelligence solutions in the financial and accounting departments of the Małopolskie province. The research was exploratory and related to a limited group of enterprises. However, the presented research results may serve as a starting point for conducting more comprehensive studies on the discussed issue.
Objective: As the increased number of studies on governance mechanisms is accompanied by a similarly increased lack of terminological consistency, the paper aims to propose a systematisation of the governance mechanisms in B2B relationships based on a systematic literature review. Research Design & Methods: The paper is based on a systematic literature review of 53 papers from Scopus and Google Scholar databases. Findings: Based on the detailed governance mechanisms identified in the literature, the own classification of governance mechanisms applied in B2B relationships is proposed. Concurrently with the process of analysing the detailed mechanisms in B2B relationships, the factors influencing the mix of relational, contractual and virtual governance mechanisms were investigated. Implications / Recommendations: The paper contributes to the theoretical development by providing systematisation of governance mechanisms. The proposed implications are also important for managerial practice as they systematically present the mix of available detailed mechanisms to be applied in B2B relationships depending on the company’s goal and situation. Contribution: The paper contributes to the theoretical development by providing the systematisation of governance mechanisms in B2B relationships. We have divided broad types of governance mechanisms into detailed types and in some cases additional subtypes. Thus, relational governance mechanisms include mutual trust, social norms and values and day-to-day contact between B2B actors. Contractual governance mechanisms cover written contracts, formal control of activities, formalisation of activities and resource investments in B2B relationships. Finally, virtual governance mechanisms include electronic integration, IT policies and procedures and handling social relationships and norms through IT.
Objective: Using the Lubelskie voivodeship as an example, this paper seeks to identify and analyse consumers’ (users of municipal parks) expectations regarding the functions of municipal parks in the context of work-life balance. We determined expectations regarding the parks’ functions based on the reasons for visiting them. Research Design & Methods: The primary data collection method was a survey method, which used a questionnaire technique. Non-random sampling was used. Respondents were recruited online using a snowball technique. The survey was conducted remotely using Google Forms. The gathered primary data were subjected to quantitative analysis, that is, the mean score test, Mann-Whitney U test and exploratory factor analysis. Findings: We confirmed that the offer of municipal parks improves the likelihood of achieving a work-life balance, mainly due to recreation and leisure and health-promoting functions. The pilot survey revealed that interviewed consumers who used municipal parks in the Lubelskie voivodeship had varying expectations regarding the parks’ roles. The foremost expectations involved parks’ leisure function, which is the ability to relax in a natural environment, experience tranquillity and seek shelter from the sun, admire the beauty and sounds of nature, and engage in leisure activities, including meeting family and friends. Furthermore, the Mann-Whitney U test showed that the variable frequency of visits to city parks was not a statistically significant differentiating variable for most respondents’ expectations regarding their function. Nevertheless, through factor analysis, segments were identified for each category of respondents analysed that differed in their expectations regarding the urban park offer. Implications / Recommendations: The study’s findings can be utilised by city authorities to develop local municipal park management policies. Knowing what residents look for from municipal parks allows them to update their municipal park management strategies to align them with the demands of the public and to boost their appeal to city inhabitants. It can be applied to the management of existing parks and the development of new park spaces in cities. Contribution: The review of the literature and the analyses enrich the literature focusing on work-life balance, specifically examining the impact of municipal parks on worker well-being and the significance of measures and innovations related to developing green areas as part of city policy. The presented findings can be a starting point for further research on this topic.
Objective: The paper discusses the topic of non-profit organisations (NPO) with a particular emphasis on the relationship between Green (Sustainable) Project Management (GPM) and the forms of employment. NPOs strive to meet both social and business requirements, which makes them a unique type of organisation. The specific nature of their functioning, the scope of application of various types of project management concepts, methods and techniques, and especially the application of sustainable approach is still unclear. The aim of the paper is to determine the relationship between the way work is performed in a non-profit organisation and the frequency of using green project management practices (People, Planet, and Prosperity). Research Design & Methods: To verify the hypotheses, quantitative research was carried out and the CAWI technique was used. Respondents were people representing non-profit organisations in Poland with project experience. Findings: As a result of the research, it was found that the form of employment has little relationship with the frequency of application of green project management solutions. Statistically significant differences appear mainly in the People area (in particular in the areas of Work practices and decent work, and Training and Education). Implications / Recommendations: The configuration of employment structures in NPOs is a complex process requiring flexibility and strong relationship-building from managers. It results from formal and informal actions and operates under specific funding conditions. The research shows that employment form has little link to the frequency of GPM use. However, implementing GPM in NPOs demands more effort than in companies, as most funds are allocated to statutory goals, limiting incentives. Therefore, sustainable management culture and continuous stakeholder communication are essential. Contribution: The topic of the article should be considered important and current because in the literature on the subject, despite research in the area of green (sustainable) project management, the issue of NPOs has not been discussed very often so far. This study is the first to explore the relationship between forms of employment provision and the use of GPM practices.
Objective: The article attempts to answer whether we may call the accessibility coordinator a manager and what role they play in a cultural institution. Do coordinators indeed only undertake coordinating actions, as suggested by the position’s name, or do they manage the accessibility implementation process in public cultural institutions? Research Design & Methods: To collect data, we used narrative collages. We obtained fifty-seven narrative collages, which described, using creative metaphors, the managerial roles adopted by the accessibility coordinator in a cultural institution. Findings: The authors of the collages mostly emphasised the importance of interpersonal roles (connector, leader) and informational roles (observer, propagator). Implications / Recommendations: The research indicates that the accessibility coordinator serves as a manager in the organisation and is a change leader who creates conditions that enable the preparation and implementation of accessibility in a cultural institution. Contribution: Research shows that the theory of managerial roles is still valid and can also be applied to new professions, such as accessibility coordinators in cultural institutions.
Objective: Crowdfunding is a rapidly growing part of economy, with USD 8,003,935,277 being collected through the Kickstarter.com platform alone as of 11 May 2024. Crowdfunding platforms play an essential role in the contemporary crowdfunding process by bringing together two parties: project creators and project supporters, to fund projects. Relying on praxeological theory, this paper research objective is to explore a novel stakeholder type termed “insumer” (investing consumer), which comprises project supporters of crowdfunding. Research Design & Methods: Through a literature review, survey, archival search, and principles of taxonomy categorisation, the distinct nature of insumers as stakeholders is delineated. Findings: The analysis indicates that insumers constitute a distinct stakeholder type, characterised by their dual role as both investors and consumers. They engage in crowdfunding with expectations anchored in both material and non-material value exchanges, while also confronting inherent risks. Implications / Recommendations: Differentiating insumer as distinct stakeholder type should influence business model creation in crowdfunding, to comprise value flows and risk. Contribution: Recognising the significance of insumers as stakeholders in crowdfunding ventures, this study underscores their contribution to achieving success in crowdfunding campaign.
Objective: The aim of the article is to identify socio-economic factors influencing the diffusion of mobile technologies in Poland. Research Design & Methods: The phenomenon of diffusion of mobile innovations was modelled using Gompertz functions, which were estimated separately for each voivodeship. The impact of socio-economic factors on the rate of innovation diffusion was modelled using multi-equation models. The Gauss-Newton algorithm was used to estimate the Gompertz function, and multi-equation models were estimated using three stage least square (3SLS). Findings: The research results included in this study indicate that the highest levels of market saturation occur in voivodeships with large populations. The phase of increasing innovation diffusion usually lasts longer in more urbanised voivodeships. The level of education of society and its digitalisation are potentially important determinants of the dynamics of diffusion of mobile technology innovations. More educated populations generally had inflection points pushed back in time and therefore the waiting time for the peak of the wave of mobile technology diffusion was generally longer there. Implications / Recommendations: Knowledge of the phase cycle of the innovation diffusion pattern can help in planning the introduction of technologically advanced products to the market in a coordinated way, so that the peak of the market penetration process occurs at the desired moment from the point of view of the company’s strategy. The research approach presented here may be useful for company managers in planning strategies for introducing new products and services. Contribution: The article presents for the first time the diffusion of mobile technologies in Poland from a spatial perspective (by voivodeships). The identification of socio-economic factors of the diffusion of mobile technologies made using multi-equation models should be considered an original approach in research on the spread of innovations.
Objective: The objective of the article is to determine how artificial intelligence (AI) influences and can influence changes in the value-creation model in the economy. Research Design & Methods: The article is theoretical and conceptual, based on a literature review and the author’s knowledge and reflections. Findings: The author formulates and verifies the hypothesis that AI gradually, consistently, and significantly increases enterprises’ potential for value creation. Implications / Recommendations: Replacing people with robots will increase work efficiency, accelerate economic growth, and improve people’s quality of life. However, there is also the flip side. AI may cause mass unemployment and the polarisation of income within and between countries. AI-based cyberattacks may paralyse societies. Although the reality of AI becoming a general-purpose technology is quite distant, it is necessary not only to monitor and support its development but also to take actions to limit its potential adverse effects. Contribution: The article comprehensively presents the implementation processes of various AI devices at individual stages of the value creation chain, i.e., supply, production, distribution and communication with customers, highlighting their positive effects as well as the threats. On this basis, it recommends actions to mitigate the potential adverse effects of AI implementation. It presents the significant cognitive value of the phenomenon, which will radically change not only the paradigm of value creation but also the functioning of societies as a whole.
Objective: The objective of the article is to provide a systematic literature review of Multi-criteria Decision-making (MCDM) techniques in supply chain and logistics management. It aims to fill a research gap by offering an objective overview of the latest advancements in decision-making techniques and their impact on supply chain performance. Research Design & Methods: The paper employs a systematic literature review to examine the application MCDM techniques in supply chain management. The review follows a five-step process: 1) formulation of research questions, 2) identification of relevant studies through the Scopus database, focusing on English-language journal articles published between 2006 and 2023, 3) selection and evaluation of studies using structured keyword searches and content screening, resulting in a final sample of 348 peer-reviewed articles, 4) analysis and synthesis of the selected literature in relation to the research questions, and 5) reporting the findings to identify research gaps and suggest future research directions. Findings: The review reveals the diverse applications of MCDM tools and models in addressing complex supply chain challenges, including demand forecasting, inventory management, distribution optimisation, and risk assessment. Furthermore, the study underscores the substantial value added by these techniques, as they lead to improved decision-making processes, enhanced operational efficiency, cost reduction, and overall performance optimisation of supply chains. The findings also provide valuable recommendations for future research, promoting knowledge accumulation and creation in the field of MCDM techniques for supply chain management. Implications / Recommendations: The study’s findings have important implications for supply chain management, demonstrating how MCDM methodologies may improve decision-making, efficiency, and performance. The recommendations emphasise the continuous application and research of these strategies in diverse supply chain contexts. Future research is recommended to better understand and broaden the use of MCDM approaches in supply chain settings. Contribution: This article is unique in that it provides a full examination of MCDM strategies related to supply chain and logistics management. It synthesises a wide variety of previous research to offer a comprehensive overview of the present status and promise of MCDM approaches for improving supply chain operations and results.
