International Journal of Management and Decision Making (36 papers in press)

Regular Issues

• A decision-support framework for evaluating supplier performance in trial production stage of new car model development: A hybrid multi-criteria decision making approach.  
  by Detcharat Sumrit, Kamphon Pingsusean 
  Abstract: This study proposes a decision support framework using a hybrid multi-criteria decision making (MCDM) approach for evaluating supplier performance in trial production stage of new car model development. First, 18 evaluation criteria are identified through rigorous literature review and confirmed by two groups of industrial experts. Second, consistent fuzzy preference relations (CFPRs) and fuzzy-based criteria importance through inter-criteria correlation (fuzzy CRITIC) are integrated to determine the subjective weights and objective weights of evaluation criteria. Next, a fuzzy-based Vlse Kriterijumska Optimizacija I Kompromisno Resenje (fuzzy VIKOR) approach is employed to rank the performance of suppliers. Thereafter, the sensitivity analysis is conducted to verify the stability and robustness of the proposed decision making framework. Finally, the comparative study with other MCDM approaches. One of the largest Japanese car manufacturing in Thailand is used as a case study to demonstrate the applicability of the proposed framework.
  Keywords: multi-criteria decision making; MCDM; CRITIC; consistent fuzzy preference relation; CFPR; VIKOR; supplier performance.
  DOI: 10.1504/IJMDM.2023.10050404
   
  
• A hierarchical structure model for blockchain technology adoption  
  by Jiayan Zheng, You Ouyang, Lixu Li, Fei Ye 
  Abstract: Although blockchain technology (BT), with the characteristics of decentralisation, autonomy, and anonymity, shows significant promise in increasing operational efficiency and transparency, the diffusion of BT remains slow. To fill this dilemma, we investigate the hierarchical structure among various determinants of BT adoption based on the technology-organisation-environment (TOE) model and the diffusion of innovation theory (DOI). We employ an integrated approach, sequentially including the decision-making trial and evaluation laboratory (DEMATEL) technique, the maximum mean de-entropy (MMDE) technique, and the interpretive structural modelling (ISM) approach. The empirical results from 17 BT practitioners and scholars reveal that complexity, compatibility, competitive pressure, and government support are four basic factors to constitute a hierarchical structure. In contrast, the relative advantage is the only factor in the second layer, following by organisational readiness and top management support in the first layer. We contribute to BT adoption literature by presenting a new hierarchical structure of different determinants.
  Keywords: blockchain; technology-organisation-environment model; diffusion of innovation theory; interpretive structural modelling; ISM.
  DOI: 10.1504/IJMDM.2024.10051017
   
  
• Digital Business Case: Scientific Contributions for a digital framework from Benefits Realization Management  
  by José Santos, Leandro Ferreira Pereira 
  Abstract: Nowadays, the pandemic situation turned several businesses in a constant uncertainty with additional concerns to professionals who aim to initiative or evaluate a project endeavour in context of digital transformation. Thus, the constant market change needed a scientific approach to overcome such uncertainty. The new digital business case was raised with the intuit of providing a business case framework towards the new requirements and needs from professionals by adopting the concept of scientific management and incorporating several new mathematical and statistical methods. This tool was the natural evolution of the business case tool (BC Tool). In order to validate the effectiveness of this new tool it was used the previous business case elaborated with the business case tool and applied the new scientific developments. The results have proven that the digital business case provides a more reliable, and comprehensive benefit and cost estimation analysis in the business case project evaluation.
  Keywords: business case; digital transformation; project evaluation; scientific management.
  DOI: 10.1504/IJMDM.2024.10051307
   
  
• A Double-Sampling Approach for Multivariate Control Charting Using Multiple Measurement Strategy and Simulation  
  by Saeid Sharafi, Parnaz Khanbeygi, Mohammad Reza Maleki, Ali Salmasnia 
  Abstract: To reduce the quality loss cost imposed on the manufacturer, it is essential to develop multivariate control charting methods to be more sensitive to process disturbances than conventional ones. Another important aspect in developing multivariate charts is taking the extra variability caused by measurement instruments into account. Since employing a double sampling (DS) strategy leads to enhancing the detectability of statistical process monitoring techniques, this paper develops two DS-based multivariate control charting methods in the presence of gauge measurement error. To accomplish that, an additive covariate model is used to evaluate how gauge inaccuracy affects the run length properties of the developed charts. Moreover, the negative impact of measurement error is reduced by extending the developed chart statistics through employing multiple measurement strategy. The results of simulation studies confirm that the measurement errors affect the sensitivity of both charts while taking several inspections per item significantly reduces the error’s effect.
  Keywords: additive covariate model; multivariate control chart; multiple measurements strategy; double sampling; run length.
  DOI: 10.1504/IJMDM.2024.10051652
   
  
• Applying SWARA Approach and Refined Kano Model to Classify and Rank Customer Requirements, Case study: Automotive industry in Portugal  
  by Ahmad Hariri, Pedro Domingues, Paulo Sampaio 
  Abstract: Companies aim to increase the quality of products and competitiveness to gain and retain customers. This study proposes a new approach for identifying and prioritising customer requirements (CRs) to improve black uniformity as a luminance characteristic on the surface of a display by evaluating the CRs. The refined Kano and stepwise weight assessment ratio analysis (SWARA) was applied to rank the 112 CRs identified into main categories: 1) technical; 2) quality; 3) delivery; 4) sustainability; 5) cost to develop the product. To validate the approach an example is performed on automotive display’ CRs. The findings showed that mechanical and delivery CRs are critical. Today, climate change is a significant challenge and a severe customer concern. Although sustainability’s CRs not classed as essential items in the production process, suppliers must be diligent in providing them. The results help to improve the automotive industry and other production systems.
  Keywords: customer requirements; refined Kano model; stepwise weight assessment ratio analysis; SWARA; automotive industry; Portugal.
  DOI: 10.1504/IJMDM.2024.10052044
   
  
• Bibliometric Analysis of Corporate Social Performance, Assessment and Evolution  
  by Nidhi SIngh, Surender Kumar 
  Abstract: This paper reviews existing studies on corporate social performance (CSP). We have an extensive review of the literature to understand the major research themes and current trends in this field. Studies published in top category journals are explored to reveal the research activities on CSP. For this purpose, more than 500 top category relevant research papers from the SCOPUS database are used. In addition to current publication trends paper also divulges influential journals, articles, authors, and the current state of collaboration involving corporate social performance. CSP literature review is conducted to understand the research focus on measurement, disclosure, rating biases, sustainability, and value creation in a global context. The study contributes to understanding the current trends, collaborations, citations, impact analysis of articles and authors. The study successfully captured niche and emerging research themes for future research directions. The present study provides a detailed explanation of literature involving CSP and identifies impediments in the current research that reveals potential research avenues for future studies on CSP.
  Keywords: corporate social performance; CSP; bibliometric analysis; Scopus; emerging research themes; future research directions.
  DOI: 10.1504/IJMDM.2024.10052046
   
  
• Qualitative approach to determine competitiveness factors in craft breweries: Evidence from Mexico  
  by Karina Guadalupe Cortina-Calderon, Jesús Gerardo Delgado-Rivas, Rafael Ravina-Ripoll, Esthela Galvan-Vela 
  Abstract: The craft brewing industry in Mexico is part of a sector that has grown exponentially in recent years, derived of its potential for economic development. However, the literature has neglected how companies in this industry compete in this market. This study aims to identify factors that determine the competitiveness of the craft beer industry in Mexico. Qualitative research was carried out for this purpose using the grounded theory method. Ten owners of craft beer companies were interviewed using coding techniques and the constant comparison method to find families and codes among the data. Among the results, a series of factors related to competitiveness in the sector were: quality, innovation, branding, strategic alliances between brewers, value-added sales and growing consumption trends. This study contributes to generating knowledge about competitiveness in the sector and joins the scarce literature on the subject.
  Keywords: competitiveness; craft breweries; beer; qualitative approach; grounded theory; Mexico.
  DOI: 10.1504/IJMDM.2024.10052295
   
  
• Appointed on responsibility, sacked on accountability: Understanding involuntary termination in football management. What can we learn from coaching studies?  
  by John Lyle 
  Abstract: This conceptual review paper explores the decision practices that lead to the pervasive practice of short-term tenure and involuntary termination of managers’ employment in professional soccer. The underlying assumptions are unsustainable; managers are hired on responsibility for performance and fired on accountability for results. Having critically appraised relevant literature to interpret and restate the problem, concepts associated with sport coaching provide a clearer and novel articulation of the decision factors in soccer organisations. An appreciation of expertise, goal management, role clutter, impression management and celebrity offers relevant insights. At an individual level, managers’ attributions in relation to positive and negative outcomes may sow the seeds for subsequent dismissal. Managers would benefit from raising awareness of the distinction between responsibility and accountability, showing greater humility in claiming role impact, and demonstrating expertise in aspects of management for which they are directly responsible.
  Keywords: professional soccer; organisational decision making; sport coaching; expertise; football manager; goal threat; compensation culture; involuntary termination.
  DOI: 10.1504/IJMDM.2024.10052453
   
  
• Proposal of a multi-criteria decision-making model for the implementation of a supervisory system for industry 4.0  
  by Woldson Leonne Pereira Gomes, Marcos C. Da R. Seruffo, Antonio Silveira 
  Abstract: The fourth industrial represents greater interconnection of systems and process automation. The history of industrial plant variables to act assertively has become increasingly necessary. In this way, this article seeks to answer how one can define the best resources for the elaboration of a supervisory. For this, a survey of the entire choice of technologies was carried out, identification of a better set of technologies and application of a multi-criteria decision method for a choice of these technologies. The results of the communication application are a protocol of promises for the development of a Python language, non-relational data programming framework, non-relational programming database with programmable logic controller with MQTT (queue telemetry transport). Therefore, decision techniques can be applied supervisory for the best choices in development, the greatest chance of a quick decision of scalability and underage.
  Keywords: digital transformation; analytic. hierarchy process; AHP; SCADA; supervisory system; multi-criteria decision making.
  DOI: 10.1504/IJMDM.2024.10052614
   
  
• High-performance work systems and HR efficiency: The mediating role of HRIS potentialities  
  by Javad Shahreki 
  Abstract: Small and medium-sized enterprises (SMEs) in the service and manufacturing sector confront unique challenges in their strategic HRM skills. In this respect, a growing concern for both scholars and practitioners is the deployment of strategic IT capabilities that enable the corporation's high-performance work system (HPWS) capabilities which influence the efficiency of its HR function. The focus of this study is to explore the strategic alignment of HR and IT from the perspective of capability-based mediation. Structural equation modelling was conducted to analyse the data obtained by surveying 211 service and manufacturing sector SMEs. The results reveal that the HR efficiency was influenced by the HRIS potentialities of SMEs through their strategy implementation with their enterprise HPWS potentialities. The findings indicate that it is more likely for the service and manufacturing sector SMEs that simultaneously develop their HRIS and HPWS capabilities to gain a competitive advantage through HR function improvement.
  Keywords: HR efficiency; HRIS potentialities; HPWS potentialities.
  DOI: 10.1504/IJMDM.2024.10052704
   
  
• Modelling telemedicine adoption intention during COVID-19 pandemic: An extended unified theory of acceptance and use of technology (UTAUT)  
  by JING K.A.I. TENG, Ali Vafaei-Zadeh, Syafrizal Syafrizal, Karpal Singh Dara Singh, Razib Chandra Chanda 
  Abstract: Anchored on the unified theory of acceptance and use of technology (UTAUT), the study investigated factors that influence people’s intention to adopt telemedicine services. Data was gathered from 328 respondents based on a purposive sampling technique. Data that was analysed through the means of structural equation modelling revealed that performance expectancy, perceived credibility, financial cost, and perceived risk significantly affect the individuals’ intention to adopt telemedicine. However, effort expectancy, facilitating conditions, and social influence had no significant effect on the intention to adopt telemedicine. The insights may be useful to healthcare providers in developing various initiatives to attract and retain customers. The findings may also assist policy makers in introducing various measures to foster the growth and development of telemedicine services amongst healthcare providers. The study presented a comprehensive perspective on individuals’ behavioural intention in adopting telemedicine healthcare services in Malaysia by using the extended UTAUT model.
  Keywords: telemedicine adoption; performance expectancy; perceived credibility; perceived risk; financial cost; UTAUT.
  DOI: 10.1504/IJMDM.2024.10052882
   
  
• Sociomateriality and Open Strategising in an Organisational Structural Change Context  
  by Bárbara Zandomenico Perito, Rosalia Aldraci Barbosa Lavarda, Christiane Bellucci 
  Abstract: Through the lenses of strategising and sociomaterial perspective, the goal of the study is to understand how people and tools are combined to favour (or not) open strategising, in a context of organisational structural change. Based on a qualitative case study we evidence the importance of the organisational structural change context in the connection between sociomateriality and open strategising. We reveal, through the sociomateriality lens, that human and non-human actors enable open strategising to be performed in such context as well as favour the practitioners to be promoters of openness and influencers of the open strategy level during an organisational change context. Our findings unveil the implications of sociomateriality for practitioners in the organisational change context considering the open strategising and expand our understanding about the mechanisms of the dynamics of open strategy.
  Keywords: sociomateriality; open strategising; strategy as social practice; organisational change; organisational context; case study.
  DOI: 10.1504/IJMDM.2024.10053018
   
  
• Measuring Islamic Banking Efficiency using Data Envelopment and Regression Analysis  
  by Foued Saadaoui, Monjia Khalfi, Rim Ben Elouefi 
  Abstract: Banking efficiency is a key indicator for managers and decision makers to ensure economic stability and development. This article proposes a data-mining framework aimed at predicting Islamic banking efficiency (IBE) from a balanced sample of banks operating in developed and emerging economies before and during the subprime mortgage crisis. The variable assessing efficiency in this study is mainly measured using data envelopment analysis (DEA), while regression is performed to estimate the importance of the determinants of each type of efficiency. Experiments show that Islamic banks in developed countries are more efficient than their counterparts in emerging countries in both crisis and non-crisis periods. As Islamic banks operate under decreasing returns to scale, it is also proven that their main source of efficiency is efficiency of scale. On the other hand, for banks operating within increasing returns to scale, the source of efficiency is rather pure efficiency. The results therefore show that the most efficient banks in both regions are the best capitalised and the largest in terms of size. Accordingly, capitalisation and size can be considered as the main determinants of Islamic banking efficiency. In both regions, these findings may have several implications for risk management and corporate social responsibility.
  Keywords: data envelopment analysis; DEA; regression analysis; Islamic banks efficiency; subprime crisis.
  DOI: 10.1504/IJMDM.2024.10053194
   
  
• An integrated decision-making framework for omnichannel retailing logistics capability assessment and improvement.  
  by Ranjit Roy Ghatak  
  Abstract: Shifting to an omni-channel (OC) retailing business model necessitates retailers to integrate their logistics systems across channels. Integrating their logistics systems poses challenges for OC retailers due to these systems’ highly complex and dynamic structure. To address the challenges associated with these complex logistical networks, retailers must improve their OC logistics capabilities. Few studies have offered a holistic approach for evaluating these complex OC logistical capabilities, successfully considering the dynamics at play, or proposed a road map for improvement. This research aims to overcome this fundamental problem by employing a novel hybrid multi-criteria decision-making (MCDM) approach to explore the interrelationships among the OC logistics capability dimensions and elements to assess these capabilities and provide an effective improvement plan. The fuzzy decision-making trial and evaluation laboratory (DEMATEL) is used to build the NRM (network relationship map) for demonstrating the influencing network of OC logistics capabilities, dimensions and criteria. Then, a DEMATEL-based analytical network process (ANP) approach was used to assess the priorities of the OC logistics capabilities. Applying the framework to a real-world case study of an OC retailer to analyse logistical capabilities and suggest a roadmap for improvement proves its effectiveness.
  Keywords: omni-channel; retailing; logistics capability; evaluation; fuzzy; multi-criteria decision making; MCDM; DEMATEL; network relationship map; NRM.
  DOI: 10.1504/IJMDM.2024.10057188
   
  
• A multi-objective decision-making system to increase supplier-driven innovation using Python
  by Ahmed E.L. MAALMI, Kaoutar JENOUI, Laila E.L. 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
   
  
• Optimized Hybrid CNN-LSTM Model for Stock Price Prediction  
  by Deepti Patnaik, N. V. Jagannadha Rao, Brajabandhu Padhiari, Srikanta Patnaik 
  Abstract: This article emphasises on precise forecasting of stock prices using a hybrid deep learning model that is 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 is used here for analysis purpose. 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.
  DOI: 10.1504/IJMDM.2024.10053713
   
  
• 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 Tanzanias 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; Tanzanian manufacturing industries; Tanzania.
  DOI: 10.1504/IJMDM.2024.10053867
   
  
• 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
   
  
• USING MCDA-C TO MODELING RISKS IN THE COUNTY MANAGEMENT: A BRAZILIAN CASE  
  by Leonardo Ensslin, Sandra Ensslin, ADEMAR DUTRA, Hemerson José Garcia, Andre 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
   
  
• The role of supply chain management's key dimensions on supply chain performance and competitive advantage in Indian SMEs  
  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 organization to effectively manage its supply chain, whereas supply chain performance shows supply chain management's overall efficiency and effectiveness. This paper conceptualizes 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 validate the relationship among supply chain management practice, supply chain performance measurement, and competitive advantage using second-order structural equation modeling. 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; Supply chain management practice; Supply chain performance; Supply chain integration; Customer-supplier relationship.
  DOI: 10.1504/IJMDM.2024.10054561
   
  
• A novel hybrid mayfly algorithm for decentralized 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
   
  
• TOPSIS method applied to the choice of the ideal object detection algorithm for an educational mobile application  
  by André De Jesus Araújo Ramos, Marcos C. Da R. Seruffo, Roberto Célio Limão De Oliveira 
  Abstract: This paper performs a literature review of the main methods of detection and classification of objects in real time, extracting the main characteristics that may influence their performance in smartphones. The main objective is, through the TOPSIS method, to choose the most suitable algorithm to later apply it in the task of detecting geometric shapes in streaming, from devices itself, efficiently, considering the limitations of such apparatus. This investigation contributes to making the best decision and, in subsequent works, it is intended to experimentally attest to the efficiency of such a choice in this objective. The adopted multi-criteria method indicated the YOLOv3 algorithm as the most suitable for this purpose and placed the faster-RCNN as the least ideal solution. This work brings a useful contribution to academia, as it presents a well-founded suggestion on how to popularise the use of this intelligence to object detection and classification in portable devices.
  Keywords: multi-criteria; object detection algorithm; smartphone; TOPSIS; education.
  DOI: 10.1504/IJMDM.2024.10056243
   
  
• 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
   
  
• Board activity and firm performance: evidence from Malaysia  
  by Y.E.E. 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 to 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
   
  
• EXPLORING TWITTER 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 Twitter 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; Twitter; communication; happiness management.
  DOI: 10.1504/IJMDM.2024.10056818
   
  
• 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 loans data on perceived riskiness of banks, providing information to manage them. We used the quantitative methodology based on the 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 impact of NPLs ratio on risk perceived, in particular on beta factor. The positioning of non-performing loans data is directed to influence CAPM beta. In the European banks of the analysis, a higher value of NPL ratio bring to a higher perception of risk by the market and this is central for the future management of NPLs.
  Keywords: bankung industy; bank; non-performing loans; NPL; beta.
  DOI: 10.1504/IJMDM.2024.10058026
   
  
• 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
   
  
• Fostering the value of diversity in organisations during the pandemic period  
  by Terry L. Howard, Evan A. Peterson, Gregory W. Ulferts 
  Abstract: Diversity brings significant value to today's business organisations. One of the primary objectives for many business organisations, therefore, is to focus more closely on the issues involved with these changing organisational concerns. Workplace diversity, alongside generating value through resonance with a multicultural global marketplace and associations to innovation, is expected to grow further in status over the next ten years considering multiple demographic factors. Yet, the developments surrounding the COVID-19 pandemic continue to hinder the pursuit of these positive goals. The direct and indirect effects of the COVID-19 pandemic stand to affect workforce diversity and inclusion efforts in significant ways. Research findings have highlight significant levels of health, economic, and racial inequalities among individuals affected by COVID-19 as a potential consequence of poverty, access to care, and roles as essential workers. The present research study will provide an exploration of how the global pandemic has impacted diversity in the work environment within the past 18 months in light of decades of workplace diversity gains achieved. This vital area of discussion is set into a historical timeframe that will necessarily address how the recent global issues influence the direction of diversity efforts.
  Keywords: diversity value; diversity; human resources; COVID-19 pandemic.
  DOI: 10.1504/IJMDM.2024.10050917
   
  
• Rational strategic decision-making during crises: a process approach  
  by Marco I. Bonelli, Jiahao Liu 
  Abstract: As exemplified by the COVID-19 situation, there is a need to conduct strategic decision-making research through a process approach for crises where threats, uncertainties, instabilities, pressures, and various negative environmental factors are present or coming. The purpose of this research is to examine the presence of rational strategic decision-making processes and relevant factors involved in a crisis context from empirical managerial practice. This research is based on seven multi-case study interviews of both top and middle level managers from multiple industries. Empirical evidence indicates the predominance of a rational strategic decision-making process with intuitive elements incorporated within a situation of crisis. A rational strategic decision-making process with intuitive elements embedded in is derived and structured from the data collected. This paper further presents many influential factors in the processes that are either already known (e.g., information, uncertainty, heterogeneity, dynamism) or newly discovered/named (e.g., regulatory requirement, sustainability and heteroturbulence).
  Keywords: crisis; strategic decision-making; SDM; strategic decision-making process; SDMP; rational strategic decision-making process.
  DOI: 10.1504/IJMDM.2023.10050574
   
  
• Optimisation of green reverse supply chain network: a case study in the dairy industry  
  by Zeinab Zarrat Dakhely Parast, Soroush Avakh Darestani, Hassan Haleh 
  Abstract: In addition to reducing chain costs, it is possible to meet the chain greening goals by considering both forward and reverse flows in designing a supply chain network. Utilising strategies such as vehicle routing accompanied by simultaneous pickup and delivery, hub location, and inventory management will also help reduce costs and make the chain greener. The importance of developing the green reverse supply chain networks and applying these strategies has increased by emerging the perishable product chain. In this regard, the present paper aims to develop a green reverse supply chain network for the distribution of dairy products including yogurt drinks with the possibility of simultaneous pickup and delivery under uncertainty. In the current model, the minimisation of total chain costs and lost demand is simultaneously considered and a fuzzy solution method is provided to solve the bi-objective model.
  Keywords: green reverse network; location-inventory-routing problem; mathematical programming model; fuzzy solution approach; dairy industry.
  DOI: 10.1504/IJMDM.2023.10050304
   
  
• Analysis of barriers to electric vehicles adoption: an integrated Pareto cum FUCOM approach  
  by Shantanu Saraswat, Ahmad Abdullah, Faisal Talib 
  Abstract: In today's world of exhausting non-renewable fossil fuels and ever-growing pollution on a global scale, there is an urgent need to focus on overcoming the climate changes caused by pollution. The auto industry being a major contributor to air pollution, came up with an alternative, electric vehicles. The objective of this paper is to identify, categorise and prioritise the barriers to the adoption of electric vehicles on a mass scale and to propose an implication model for industries. This study identifies 53 barriers through an extensive literature review and expert opinions and classifies them into four main categories. The significance of various subcategory barriers is evaluated using Pareto analysis. The ranking is done according to weights, which are determined by a novel full consistency method (FUCOM) approach. The result of this study reveals that out of 53 barriers, the vital few came out to be 24 barriers. Further among the four main category barriers, the economic barrier (EB) and knowledge management barrier (KMB) are found to be the most and the least influential main category barriers, respectively. The findings of this study will be beneficial to industrial managers and top-level management of the electric vehicles (EVs) auto industry.
  Keywords: electric vehicles; EVs; Pareto analysis; barriers; full consistency method; FUCOM.
  DOI: 10.1504/IJMDM.2023.10051362
   
  
• Management applications and methodology developments in DEA - an overview of literature reviews  
  by Gyöngyi Vörösmarty, Imre Dobos 
  Abstract: Data envelopment analysis (DEA) is a methodology that is widely used in business to measure efficiency and performance. The purpose of this literature review is to provide an overview of its areas of use and the most important methodological enhancements. The extensive literature on DEA will be reviewed with the help of previously published literature reviews. The main applications of DEA are identified as healthcare, banking and insurance, higher education and the human sphere, transportation and supply chain management, sustainability, and energy policy. The reviews mainly address service applications for benchmarking efficiency - manufacturing was not addressed. The DEA-related methodological developments were ranking, managing data status, weight and input/output selection, and network and dynamic extensions. The management literature makes much use of the DEA method for decision support and performance measurement.
  Keywords: data envelopment analysis; DEA; literature review; management application.
  DOI: 10.1504/IJMDM.2023.10050363