International Journal of Management and Decision Making (28 papers in press)

Regular Issues

• A quantitative risk assessment framework for reverse logistics of plastic packaging wastes via a multi-stage intuitionistic fuzzy information: A case study of plastic recycling industry in Thailand  
  by Detcharat Sumrit, Jirawat Keeratibhubordee 
  Abstract: This study proposes a failure mode effect analysis (FMEA) framework to assess the RL risks of plastic packaging wastes by using a multi-stage intuitionistic fuzzy. Firstly, the 11 failure modes of RL are identified through extensive literature review and validated by industrial experts. Next, the subjective and objective weighting of FMEA risk criteria are computed using Decision-Making Trial and Evaluation Laboratory (DEMATEL) and entropy approaches, respectively. Subsequently, the subjective and objective weightings are used to obtain the combination weighing of FM risk criteria. Next, the 11 failure modes are ranked using combinative distance-based assessment (CODAS). Lastly, the sensitivity analysis is performed to validate the reliability and robustness of the proposed framework. The plastic packaging recycling industry in Thailand is used as a case study. The findings of this study provide useful insights for academics and practitioners to make risk assessment decisions in the reverse logistics system.
  Keywords: plastic packaging wastes; failure mode effect analysis; FMEA; DEMATEL; entropy; combinative distance-based assessment; CODAS.
  DOI: 10.1504/IJMDM.2024.10056314
   
  
• Facilitating Organizational Decision-Making Process through LEGO® SERIOUS PLAY® method
  by Vahid Javidroozi, Chris Maguire, Gerald Feldman, Nassir Ibrahim 
  Abstract: Previous research has offered several processes/frameworks for facilitating/improving the organisational decision-making process (ODMP). However, limited research has practically identified a method to facilitate all decision makers participation, realise their views/ideas, improve their communications, and maximise the chance of making the organisations most effective and implementable decisions. LEGO® SERIOUS PLAY® (LSP) as a creative methodology has been utilised in organisations to facilitate discussions/meetings/workshops. However, no studies have been conducted on applying LSP to improve ODMP. This study explains the use of LSP to facilitate and enhance this process by developing a conceptual framework and offers a novel ODMP. It adopts action research, including interviews, a case study and a focus group and facilitates a workshop to observe and validate the effectiveness of the proposed process. The research findings suggest that the proposed approach fosters a more visual, creative, interactive and collaborative experience, increasing all-around participation during the ODMP.
  Keywords: Lego Serious Play; organisational decision-making process; ODMP; decision making; decision process; engagement; stakeholders; gamification; action research; workshop participants.
  DOI: 10.1504/IJMDM.2025.10058577
   
  
• Managerial Leadership and Work-life Balance to curtail Turnover Intentions: Does Employee Happiness Play any Mediating Role
  by Rajwinder Kaur, Gagandeep Kaur, Rasna Pathak 
  Abstract: This study inspects the effect of managerial leadership, work-life balance (WLB) and employee happiness on the turnover intentions of academicians in private universities. It further investigates the mediating role of employee happiness on the stated relationships. Data for the analysis is gathered from 400 academicians working in private universities in Punjab through a self-administered survey. Utilizing the Smart PLS 3.3.9 package, the data is statistically analysed. The analysis discovered that managerial leadership and WLB have a negative impact on the turnover intentions of academicians. Moreover, the study exposed that managerial leadership and WLB have a positive impact on employee happiness. Similarly, employee happiness partially mediates the outlined relationships. Besides that, employee happiness has an adverse impact on turnover intentions. Consequently, this study suggests implementing several effective managerial leadership and WLB practices in private universities since it may not only improve happiness among academicians but also reduce turnover intentions.
  Keywords: Education Industry; Leadership; Intentions to Leave; Mediating Effect; Workplace Happiness; Work-family Conflicts.
  
  
• Relational dynamics and decision making for the organization of the Olympic Games in France
  by Frederic Lassalle 
  Abstract: The contribution of this research resides in the proposal of a comprehension tool allowing to represent the relational dynamics and the decision making within the framework of a bid for an international sports event. To control the selection and organisation phases, the International Olympic Committee maintains close relations with the candidate cities. It is legitimate to question the power profiles of the candidates and the decision made. The methodology is qualitative through expert interviews and data collection from the press on the specific case of French bids for the organisation of summer and Winter Olympic Games since 1968. The results obtained within the framework of French bids make it possible to verify that relational dynamics and power profiles have an impact on the selection of the candidate city. Relational dynamics are present in the literature on sport management, they very rarely appear under the aspect of relational dynamics.
  Keywords: corporate strategy; relational dynamics; sport organisation; International Olympic Committee; IOC; Olympic Games; France.
  DOI: 10.1504/IJMDM.2025.10059008
   
  
• Green bond issuance and value creation for stockholders. Evidence from Italy
  by Maria Rita Filocamo, Rubina Michela Galeotti, Raffaele Mattera, Roberto Maglio 
  Abstract: This paper investigates the value creation for the stockholders through the analysis of the stock Italian market reaction when green bonds are issued in the market. Announcement data for issued green bonds have been hand-collected and the empirical analysis has been conducted with the aim of evaluating the difference in stock returns between green bond issuers and not issuers. Stocks have first been filtered for the market returns by capital asset pricing model (CAPM). Then, a nearest neighbours’ approach has been used for matching purposes. Results show that the issuance of green bonds did not affect significantly the remuneration required by stockholders. Our research is directed to academics, practitioners and companies.
  Keywords: corporate value creation; green bond; capital asset pricing model; CAPM; matching; sustainability; Italy.
  DOI: 10.1504/IJMDM.2025.10059148
   
  
• Collaboration Technology Usage for Decision in Utilizing E-Wallet in the New Normal Society: Evidence from Greater Jakarta, Indonesia
  by Sylvia Samuel, John Tampil Purba M. M 
  Abstract: The analysis suggests a research conceptual model for determining the digital technology approach in the application of e-wallet financial technology by customers, particularly after COVID-19 in Indonesia. E-wallets, as one of the digital technologies in Fintech, collaborate with many industries, including online transportation and e-commerce marketplace utilised by a few companies in Indonesia to fulfil customers’ needs throughout some government restrictions during a pandemic. This study’s participants were millennials who use commonplace digital wallet applications in the urban area of Greater Jakarta. The findings show that all variables significantly impacted people’s decisions to purchase digital wallet technology in the pre-new normal of the COVID-19 pandemic. The power of e-wallet digital applications linked to the internet, big data, smartphones, and secure and comfortable technology power has encouraged urban society to employ them. Finally, the digital wallet industry and other information urban ecosystems offer various business options for the post-era of COVID-19.
  Keywords: credibility; decision; digital wallet; ease of use; subjective norms; usefulness; Indonesia.
  DOI: 10.1504/IJMDM.2025.10060135
   
  
• Self-assessment of governance bodies and organisational impact in the non-profit sector: the case of a French advocacy organisation
  by Guillaume Plaisance 
  Abstract: This article examines the link between self-assessment of governance bodies and the organisational impact of a non-profit organisation in the advocacy sector. It is particularly interested in the case of the Jeunes Agriculteurs, a French organisation that relies on its members to function, as a grassroots volunteer organisation. This research relies on the disciplinary vision of governance. The results confirm the relevance of this view within the governance bodies for understanding organisational impact. The article calls for contextual and contingent reflection, particularly in the application of good governance practices. In addition, this article expands the literature on governance in grassroots volunteer organisations, which has neglected the role of members. The article also proposes to retain the concept of impact to better understand the mission of advocacy NPOs. Finally, this article calls for caution with regard to standards and “best practices” in NPOs, which are not always appropriate.
  Keywords: governance; impact; agency theory; stakeholder theory; nonprofit organization; contingency.
  DOI: 10.1504/IJMDM.2025.10060710
   
  
• The Reinvention of the Self in the Center as an Approach that Makes Construction Projects Fail
  by Edona Llukaçaj, Erion Periku 
  Abstract: Researchers’ efforts to analyse the causes of failure and/or diversion in the construction industry are extensive. Nevertheless, the number of construction projects that present deficiencies minimally in one of their complementary elements remains high. This article aims to shed light on why numerous construction projects fail to meet their functional parameters, emphasising that an overlooked cause is the inconsiderate approach of those in charge towards the surroundings. Relying on postcolonial theory concepts, it will also study the impact of the Othering attitude of construction projects’ executives in terms of satisfying the needs and interests of its beneficiaries. Via the analysis of nine construction projects built at different time periods, in various parts of the world, the authors aim to bring to attention how these agents’ approach is detrimental and costly for the construction industry and how a less self-centred and more appreciative line benefits all the involved parties and wider.
  Keywords: Othering; construction projects; project failure; marginalisation; functional deficiency.
  DOI: 10.1504/IJMDM.2025.10060769
   
  
• Integrating Multi-Criteria Decision Making and Simulation Modeling to Improve Health Referral Processing
  by Mohammed Mahyoub  
  Abstract: This research introduces an integrated framework that combines the fuzzy analytic hierarchy process (FAHP) and discrete-event simulation (DES) for process improvement in the healthcare sector. By considering multiple criteria and uncertainties, the framework provides a systematic approach to selecting and evaluating optimal process improvement policies. A case study focusing on enhancing a health referral processing unit (HRPU) validates the effectiveness of the framework. Simulation experiments reveal significant reductions in average delay time (ADT) and average time in the system (ATIS) for specific alternatives. The FAHP-DES method ranks improvement policies based on multiple criteria, leading to the identification of the best alternative. This integrated approach offers a comprehensive methodology for healthcare process improvement, emphasising the importance of systematic decision-making to achieve substantial improvements.
  Keywords: simulation modelling; fuzzy analytic hierarchy process; fuzzy AHP; multi-criteria decision making; healthcare process improvement; discrete-event simulation; DES; uncertainty.
  DOI: 10.1504/IJMDM.2025.10061087
   
  
• How can the fit between adaptive analytics and organic culture impact organisational performance?  
  by Alamir Costa Louro, Marcelo Moll Brandão, Jurij Jaklic, Arthur Franca Sarcinelli 
  Abstract: In marketing and information system disciplines, there is considerable interest in understanding the relationship between analytics and organisational performance. To fully apprehend this relationship it is first necessary to uncover the role of culture and adaptive marketing. It is also necessary to test a model with intervenient mediation mechanism to narrow the marketing capabilities gap. The study employed a cross-sectional survey design with stratified random sampling to collect data from diverse organisations. Data analysis was conducted using PLS-SEM for hypothesis testing, OLS regression within the SPSS PROCESS macro to investigate mediation effects, and R for post hoc tests. The model has shown an indirect-only effect of adaptive analytics and organisational culture fit using static marketing capabilities and absorptive capacity as mediators. The results suggest precaution for managers because this fit construct also needs pre-existing static marketing capabilities and absorptive capacity to impact performance. It also provides managers with a useful tool to assess their organisations regarding analytics and culture.
  Keywords: adaptive analytics; organisational culture; marketing capabilities; PLS-SEM.
  DOI: 10.1504/IJMDM.2025.10062904
   
  
• Managing marketing in the context of international online purchasing  
  by Todd Drennan, Cecilia Lindh 
  Abstract: As e-commerce continues to expand cross-borders, marketing endeavours must adapt to the diverse consumer preferences. This study postulates that online purchasing, studied from a marketing point of view, and taking the fact that the internet makes the online market accessible cross-borders, would yield interesting managerial implications. To investigate this, we analyse an international dataset comprising 932 consumers from 65 countries, through the lens of established marketing concepts. The result shows that buying takes place on the internet and in a potentially very international setting. This study of marketing constructs (established and newer) in a cross-border online context shows significant behavioural characteristics relevant to decisions taken by firms on online internationalisation activities.
  Keywords: internet; e-commerce management; purchase intention; online purchasing.
  DOI: 10.1504/IJMDM.2024.10063257
   
  
• A decision support model for online marketing investment decisions  
  by Lucie Waleczek Zotyková  
  Abstract: This study provides a decision support model for starting e-Commerce projects. The proposed model uses individual tips from online marketing activities for investment decisions in online marketing using profit simulation and modelling. An e-shop was established and operational in 2022. The coronavirus pandemic (COVID-19) had a wide-ranging effect on e-Commerce, technology, business, travel, and the economy. Regression analysis was used to investigate the viability of e-Commerce projects considering seasonal trends. The proposed decision support, along with its assessment model and fine-tuning procedures, is described in this study.
  Keywords: COVID-19 pandemic; decision support; e-Commerce; changes in shopping behaviour; online marketing; regression modelling; search engines; simulation; small and medium companies; social networks.
  DOI: 10.1504/IJMDM.2025.10063466
   
  
• The attribution of expertise: modelling relational and organisational factors  
  by Robert A. Allen, Gareth R.T. White 
  Abstract: The term ‘expert’ is frequently encountered both in the management literature and in the common parlance of business. However, the relational dimension of ‘expertise’has received little academic attention and lacks clear theoretical underpinning. This study addresses this gap through an exploration of how sources of expertise are identified and utilised in a UK Government Department. A series of semi-structured interviews were used to explore the activities and experiences of 19 staff. The study identifies the complex interactions among institutional, personal and task-related factors. From this, it develops a comprehensive model of the attribution of expertise. This model could be used by organisations to develop appropriate strategies for the management of expert resources and decision making. This study addresses the paucity of empirical research that examines the relational dimensions of the attribution of expertise.
  Keywords: expert; expertise; attribution; decision-making; management; public sector; government; relational.
  DOI: 10.1504/IJMDM.2025.10063540
   
  
• The mediating effect of organisational resilience and internal preparedness on the relationship between external vulnerabilities and performance  
  by Godwin Francis, Maria Papadaki, Hamid Saeed 
  Abstract: The performance of an organisation is contingent on external and internal business environments. A resilient business process strengthens the stability of the organisation. The underlying study focused on the effect of organisational resilience on business performance under the influence of external vulnerabilities. A survey was conducted, and data were collected from 144 organisations in the UAE. Structural equation modelling was used to test the hypotheses. The findings showed that organisational performance was positively and significantly related to external and internal factors with resilient characteristics and capacities. The relationships between resilient characteristics, resilient capacities, and firm performance were also positive and significant. The mediation results showed an indirect relationship between resilient characteristics and firm performance, and resilient capacities fully mediated this association. The research has contributed to resilience theories, and has also provided a framework to managers and decision makers to achieve greater resilience for better business performance.
  Keywords: organisational resilience; business performance; organisational factors; UAE organisations; resilience characteristics; structural equation modelling; mediation analysis.
  DOI: 10.1504/IJMDM.2025.10063696
   
  
• Using Malmquist and epsilon-based data envelopment analysis to assess the performance efficiency of pharmaceutical manufacturers  
  by Hoang-Phu Nguyen, Thi-Ha Thai, Chia-Nan Wang 
  Abstract: The pharmaceutical industry in Vietnam has seen significant growth, but many components require significant capacity investment. Consumers now prefer pharmacies that comply with good pharmaceutical practice standards over unlicensed outlets, leading to increased competition for market share. This study aims to develop a comprehensive framework for assessing the efficiency of pharmaceutical manufacturers, focusing on performance evaluation of companies. A hybrid approach using DEA Malmquist and EBM methods was applied to 12 pharmaceutical companies in Vietnam from 2017 to 2020. The study focuses on the technical and technological components of pharmaceutical enterprises, offering customised insights and actionable knowledge. The study introduces an innovative evaluation approach, including proportional adjustments of inputs/outputs and accounting for slacks, providing a comprehensive evaluation of efficiency and inefficiency within decision making units (DMUs). This comprehensive method offers insights for benchmarking, strategic planning, and decision-making, contributing to the industry’s sustainability journey and influencing the development of pharmacological systems.
  Keywords: performance efficiency; pharmaceutical company; data envelopment analysis; DEA; Malmquist; epsilon-based measure; EBM.
  DOI: 10.1504/IJMDM.2025.10063992
   
  
• The impact of RBV on value creation in the pharmaceutical industry  
  by Telma Ferreira Dos Santos, Angelo Pereira, Ricardo Correia, João Geraldes, Rui Gonçalves, Renato Lopes Da Costa 
  Abstract: The theory of the resource-based view addresses all the complexity of adopting strategic methods in competitive environments, such as the pharmaceutical industry, in which there is a constant struggle to acquire competitive advantage and for companies to differentiate themselves from others. Having said this, it is important to understand the impact that the resource-based view can have on the pharmaceutical industry, and how it can generate competitive advantage for different companies. The methodology for data collection was the realisation of semi-structured interviews based on questions that emerged throughout the literature review, where the MAXQDA software was used for analysis and coding of the corpus of each interview. It was concluded that this type of strategy has several positive impacts at the internal and external levels of the pharmaceutical industry, ranging from the creation of more competitive environments through the success of innovation, the allocation of resources in the best way to meet the needs of the company and the market, and clearly a greater internal knowledge of the weaknesses of each company, investing in continuous improvement.
  Keywords: strategy; pharmaceutical industry; competitive advantage; market gaps.
  DOI: 10.1504/IJMDM.2025.10064404
   
  
• Decision-making using novel ranking of intuitionistic fuzzy numbers based on vectorial distance and spread  
  by N. Muhammad Farhan Hakim Nik Badrul Alam, Ku Muhammad Naim Ku Khalif, Nor Izzati Jaini 
  Abstract: The intuitionistic fuzzy numbers (IFN) are powerful in handling the uncertainties in the decision-making world. In this research, a novel ranking function of the IFN based on the vectorial distances and spread of the membership and non-membership functions is proposed. The vectorial distance measures the separation of the IFN from the origin while the spread represents the horizontal slit of the IFN. As a validation, some empirical examples are used to illustrate the strength of the proposed ranking method. Some situations where the IFN having different heights and spreads for the membership and non-membership functions are considered to test the robustness of the ranking approach. Further, a decision-making model based on the proposed ranking method is developed, namely the intuitionistic weighted aggregated sum product assessment (IF-WASPAS). The preference of lecturers either to conduct online, hybrid or physical class was adopted to visualise the applicability of the proposed ranking function.
  Keywords: decision-making; intuitionistic fuzzy numbers; IFN; ranking function; spread; vectorial distance.
  DOI: 10.1504/IJMDM.2025.10064815
   
  
• A multi-objective decision-making system to increase supplier driven innovation using Python
  by Ahmed El Maalmi, Kaoutar Jenoui, Laila El Abbadi 
  Abstract: The fourth industrial revolution is contributing in an impressive way to companies' improving performances. Purchasing is the main function involved in the dynamic transformation because of its key role in the company's business process and sustainability. For this purpose, it must be the focus of the management to master its processes and their performance, especially supplier selection based on both qualitative and quantitative criteria. The paper proposes the standard implementation of a decision-making system for multi-criteria suppliers' selection. The system's solution is based on linear programming optimisation to enhance innovation between companies and suppliers. It explains the implementation method for a model based on total cost, delivery times, and a supplier's innovation criteria. A case study demonstrates this model's interest in improving purchasing function.
  Keywords: decision support systems; multiple objective programming; innovation; suppliers' selection; supply chain management; python programming; cost optimisation; delivery optimisation.
  DOI: 10.1504/IJMDM.2024.10059255
   
  
• Optimising performance by fusion of business intelligence and marketing mix in decision making process  
  by Ankur Saini, Anupama Rajesh 
  Abstract: The article proposes a business intelligence (BI) process model integrated with the marketing core elements to enhance decision making and optimise the firm's performance. In this study, authors have explored the literature on BI from the marketing mix perspective. The article argues that businesses should spend time and utilise their valuable resources in BI application implementation and usage. According to the authors' examination of the literature, very limited research is available on how the dimensions of the marketing and BI process can be linked with one another. This research is expected to be beneficial because it focuses on the interplay between the two different fields of BI and marketing intelligence. It will encourage and stimulate significant research potential in the subject areas.
  Keywords: business intelligence; marketing mix; data analytics; decision making process; marketing.
  DOI: 10.1504/IJMDM.2024.10053521
   
  
• Optimised hybrid CNN-LSTM model for stock price prediction  
  by Deepti Patnaik, N.V. Jagannadha Rao, Brajabandhu Padhiari, Srikanta Patnaik 
  Abstract: This article emphasises the precise forecasting of stock prices using a hybrid deep learning model that is a convolutional neural network - long short-term memory network and the parameters are optimised by enhanced grey wolf optimiser (GWO). With the availability of huge data in the present scenario, deep learning models outperform better than all other models. Again, to avoid the slow convergence rate and stagnation of local optima, an enhanced GWO algorithm is used. Stock prices of more than 12 years of various challenging stock exchanges such as: Standard & Poor 500, NIFTY 50, Nikkei 225, Dow Jones are used here for analysis purposes. Performance parameters used are root mean square error, mean absolute percentage error and mean absolute error. The proposed hybrid model is also compared with state-of-art models and it is found that this proposed model performs better than the existing models.
  Keywords: forecasting; convolutional neural network; CNN; long short-term memory; LSTM; hybrid model; evolutionary computation; enhanced grey wolf optimisation; GWO; root mean square error; RMSE; mean absolute percentage error; MAPE; mean absolute error; MAE.
  DOI: 10.1504/IJMDM.2024.10053713
   
  
• Using MCDA-C to model risks in the county management: a Brazilian case  
  by Leonardo Ensslin, Sandra Rolim Ensslin, Ademar Dutra, Hemerson José Garcia, André Andrade Longaray 
  Abstract: This study's purpose is to create a model that assists with risk management in county management units under the responsibility of a Brazilian State's Audit Office. This exploratory case study utilises a mixture of qualitative and quantitative methods. Unstructured interviews provided the primary data. The intervention instrument was the multi-criteria decision aiding constructivist (MCDA-C) methodology. The constructivist process of building the model had a pedagogical function; it created an environment for debate, expanding knowledge. It standardised the understanding of the risk factors and their scales in order to measure degrees of risk severity. Auditors can use this model as an instrument to monitor the risk levels of factors considered crucial. The model acts proactively by providing the monitored units with knowledge of the aspects that the TCE/SC auditors consider essential for risk management and provides a process for generating actions for improvement.
  Keywords: performance evaluation; risk management; multi-criteria; constructivist; decision-making.
  DOI: 10.1504/IJMDM.2024.10054421
   
  
• Determining the maturity level for the selected manufacturing industries through Industry 4.0 perspectives  
  by Deusdedith Pastory Maganga, Ismail W.R. Taifa 
  Abstract: Industry 4.0 (I4.0) is an emerging revolution encompassing various novel technologies with the potential for business and organisation excellence. This study thus determined the I4.0 maturity level of the manufacturing industries in Tanzania. Quantitative and qualitative methods were employed: such methods included observation, questionnaires, interviews, and document review to garner respondents' viewpoints to establish the maturity level. This study considered the purposive or expert judgement approach as a sampling approach. The collected data from 15 Tanzanian manufacturing factories were critically analysed using Minitab version 20.3 and MAXQADA 2020 software. The study revealed that Tanzania's I4.0 adoption level is medium - a level of 3.0 out of 5.0. Most Tanzanian manufacturing industries also employ Quality 3.0 to manage the quality of their operations and products, comprising total quality management, ISO standards, and quality management systems.
  Keywords: Industry 3.0; Quality 4.0; Industry 4.0; maturity models; maturity level; maturity dimensions; fourth industrial revolution; quality management system; QMS; Tanzanian manufacturing industries; Tanzania.
  DOI: 10.1504/IJMDM.2024.10053867
   
  
• Exploring X as a social marketing and happiness management instrument for biodiversity  
  by Araceli Galiano-Coronil, Rafael Ravina-Ripoll, Rafael Cano-Tenorio, Luis Bayardo Tobar-Pesantez 
  Abstract: This paper means to explore the X profile @fbiodiversidad to compare the number of messages published by this user with the public reaction according to the themes, social marketing and emotional connotation and to check whether there are themes that better distinguish behavioural messages from others. We have used a methodology that combines data mining and content analysis techniques. We have recovered 3,158 tweets before and after the entry into force of Law 7/2021, of May 20, on climate change and energy transition. The results show that most published messages have an informative purpose and refer to projects. However, the most popular publications are related to wildlife, with a conversational meaning and a positive emotional connotation. In addition, a relationship has been found between the themes and social marketing in the messages, standing out the behavioural messages about projects and well-being.
  Keywords: biodiversity; social marketing; X; communication; happiness management.
  DOI: 10.1504/IJMDM.2024.10056818
   
  
• The role of supply chain management's key dimensions on supply chain performance and competitive advantage  
  by Rohit Kumar, Manish Gupta 
  Abstract: The concept of supply chain management has been applied to improve supply chain performance, and as a result, acquire a competitive advantage in a variety of industries throughout the last few decades. Supply chain management practice is the set of activities initiated in an organisation to effectively manage its supply chain, whereas supply chain performance shows supply chain management's overall efficiency and effectiveness. This paper conceptualises five constructs of supply chain management practice (strategic supplier partnership, business model information sharing, level of information sharing, quality of information sharing and customer relationship), and secondly validates the relationship among supply chain management practice, supply chain performance measurement, and competitive advantage using second-order structural equation modelling. Data for the study were collected from 143 small and medium-sized enterprises. Results indicate that the higher level of supply chain management practice leads to a higher supply chain performance level and ultimately gains a competitive advantage.
  Keywords: supply chain management; SCM; supply chain management practice; SCMP; supply chain performance; SCP; supply chain integration; SCI; customer-supplier relationship.
  DOI: 10.1504/IJMDM.2024.10054561
   
  
• Accounting analytics data types and structures: an educational perspective  
  by Saeed Askary, Davood Askarany, Yusuf Joseph Ugras 
  Abstract: Technological changes have affected the accounting profession significantly, so the next generation of accountants in the future digital economy must develop strong analytical skills. Despite this need, no research has connected data type and structure to accounting values. This paper discusses data types and structures for big data projects in accounting analytics and what teaching techniques are suitable for accounting students. The paper further demonstrates the relationship between data type in the data lifecycle and warehouse and explains data quality issues. We provide a detailed view of the relationship between data type and structure and suggest that flipped learning can efficiently teach data structure to accounting students. We further discuss how analytical techniques can be applied more effectively by using the flipped learning method.
  Keywords: accounting analytics; accounting data type; data lifecycle; data structure; data warehouse; accounting education.
  DOI: 10.1504/IJMDM.2024.10054232
   
  
• A novel hybrid mayfly algorithm for decentralised multi-mode-multi-project scheduling problems with resource transfer and periodic service: a case study  
  by Mohammad Rostami, Ali Yousefzadeh 
  Abstract: One of the most neglected issues in the decentralised project scheduling problems is considering multi-mode resources which is consistent with the real problems. This paper addresses multi-mode resource-constrained decentralised multi-project scheduling problem with considering periodic services where the activities can be done by the one of the possible modes. The purpose of this problem is to minimise the total cost. First, a mixed integer linear programming model is presented. Then, with its help, a real case study is solved in which the information of two projects implemented in Iran has been used. Also, a new hybrid mayfly algorithm (MA) is developed to solve large-size instances. To evaluate the performance of this method, three other well-known methods are adapted, and the results are presented. The computational results show that HMA has an acceptable performance, especially in terms of the quality of the solutions compared to other well-known methods.
  Keywords: mayfly algorithm; heuristics; multi-mode resource constrained; decentralised projects scheduling; case study.
  DOI: 10.1504/IJMDM.2024.10054844
   
  
• Board activity and firm performance: evidence from Malaysia  
  by Yee Peng Chow 
  Abstract: This paper examines the relationship between the frequency of board meetings as a measure of board activity and firm performance based on a sample of the top 100 Malaysian listed firms over the period 2013-2017. This study also performs sub-sample analyses to determine whether this relationship is conditional on certain internal factors such as firm size, founder status of the CEOs and chairs and board size. The results demonstrate that more frequent board meetings exert a negative effect on firm performance. Furthermore, the sub-sample analyses reveal that the adverse impact of board meetings on firm performance is particularly significant for both large and small firms, firms led by non-founder CEOs and/or chairs and firms with large and small board sizes. Interestingly, this study also finds that the performance of firms led by founder CEOs tends to improve with more frequent board meetings.
  Keywords: board activity; board meetings; board size; firm performance; firm size; founder; Malaysia.
  DOI: 10.1504/IJMDM.2024.10056338
   
  
• The impact of non-performing loans on systematic risk of banks: evidence from the European market  
  by Loris Di Nallo, Maria Lucetta Russotto, Pasquale Zaccarella, Pavlo Brin 
  Abstract: This paper investigates the impact of non-performing loan data on the perceived riskiness of banks, providing information to manage them. We used the quantitative methodology based on statistical analysis to represent the role of non-performing loans. We built our sample starting from European listed banks. We developed a regression analysis establishing the relationship between non-performing data and risk. Our results show achievements in the impact of the non-performing loans (NPLs) ratio on perceived risk, particularly on the beta factor. The positioning of non-performing loan data is directed to influence capital asset pricing model (CAPM) beta. In the European banks of the analysis, a higher value of NPL ratio brings to a higher perception of risk by the market, and this is central for the future management of NPLs.
  Keywords: banking industry; banks; non-performing loans; NPLs; beta.
  DOI: 10.1504/IJMDM.2024.10058026