Forthcoming and Online First Articles

International Journal of Management and Decision Making

International Journal of Management and Decision Making (IJMDM)

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International Journal of Management and Decision Making (33 papers in press)

Regular Issues

  • Strategy Formation as Narrative-Driven Performative Praxis   Order a copy of this article
    by Pavel Prokushenkov 
    Abstract: This paper seeks to research the performative dimension of strategising at the individual level in the context of strategy-as-practice. The study focuses on narrative-driven praxis being formed by practitioners involved in strategic discursive practices. The interconnections within strategy discourse lead to interdiscursivity that influences strategic decision-making. Revealing interdiscursivity is crucial as it is the key to understanding the praxis of strategy formation. This is action research that involved 16 practitioners from 13 countries around the world. Critical discourse analysis is applied to data collected through purposive sampling during online coaching sessions. The author acted as an executive coach. The theoretical and practical implications of this paper are presented as a non-normative model that describes strategy formation as narrative-driven performative praxis. The constructed model can be used as a theoretical basis for individual coaching sessions on strategy formation.
    Keywords: action research; coaching; critical discourse analysis; CDA; narratives; decision-making; performativity; strategy formation.
    DOI: 10.1504/IJMDM.2023.10048440
  • Examining work from home practices during the COVID-19 pandemic in Singapore: Predictors of motivation and productivity   Order a copy of this article
    by Kavitha Kumara Parumal, Amy Wong 
    Abstract: The importance of employee productivity is further heightened during the COVID-19 pandemic period, as organisations started implementing a default work from home policy in view of several governments’ mandatory and guidelines for safe distancing to prevent the spread of the coronavirus. To attain business success, it is crucial for employees to stay motivated in their job as they work remotely. This study examines employee perceptions of job autonomy, training opportunities, transformational leadership, job flexibility, and their effects on intrinsic motivation and employee productivity during the COVID-19 pandemic. Data was collected from 134 working adults via an online survey. The findings show that the best predictor of both intrinsic motivation and employee productivity is job autonomy. The findings provide valuable insights for the effective management of human capital during the pandemic and post-pandemic recovery periods.
    Keywords: job autonomy; training opportunities; transformational leadership; job flexibility; intrinsic motivation; job productivity; work from home; COVID-19 pandemic; Singapore.
    DOI: 10.1504/IJMDM.2023.10049484
  • A comprehensive strategic approach for supplier management: selection, homogeneous clustering, and negotiation   Order a copy of this article
    by Ayeley Philippe TCHANGANI 
    Abstract: There is a popular saying that you should not put all your eggs in one basket. We believe that to some extent this adage can be applied to a manufacturer of goods vis- à -vis its suppliers in the sense that it is necessary to diversify the sources of origin of its raw materials or semi-finished products. To select its potential suppliers, the company sets its objectives first and then determines the criteria that must be used to evaluate any potential supplier. In this paper, we assume that the objectives (generally economic, social and environmental objectives), evaluation criteria and a list of suppliers are established by the company, and our goal acting as an analyst is to propose an evaluation framework for building a portfolio of supplier companies and/or clustering them into homogeneous categories for their appropriate treatment. To do this, we propose to apply a multi-criteria analysis method called bipolar analysis.
    Keywords: suppliers selection; suppliers homogeneous clustering; bipolar analysis; BOCR analysis; synergistic aggregation.
    DOI: 10.1504/IJMDM.2023.10049522
  • Designing the expert system for industrial energy management in Tanzania   Order a copy of this article
    by Adam Mwangaila, Ismail W. R. Taifa, Victoria Mahabi 
    Abstract: This study designed an expert system (ES) to assist energy management (EM) in manufacturing industries. The EM system optimises energy to maximise profits. One of the best approaches to managing energy is letting every individual in the industry be responsible. Lack of knowledge by most workers challenges this, and it is expensive to train every staff who operates in silo form. This study thus designed an ES that assists managers in manufacturing industries in performing EM. The system’s target is to overcome the existing knowledge barriers and lack of expertise in EM in industries. The designed system is web-based software and acts as an expert in EM using knowledgebase and artificial intelligence as an inference engine to mimic human behaviour of reasoning and decision making. The ES would thus ensure the availability of EM expertise in industries and the process of managing energy to be performed by qualified industrial workers.
    Keywords: expert system; energy management; machine learning model; artificial intelligence; knowledgebase development; industrial energy management; inference engine development; Tanzania.
    DOI: 10.1504/IJMDM.2023.10049731
  • Optimization of Green Reverse Supply Chain Network: A Case Study in the Dairy Industry   Order a copy of this article
    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 supply chain network. Utilising strategies such as vehicles 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 drink 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
  • Management applications and methodology developments of DEA - An overview of literature reviews   Order a copy of this article
    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
  • A decision-support framework for evaluating supplier performance in trial production stage of new car model development: A hybrid multi-criteria decision making approach.   Order a copy of this article
    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
  • Rational Strategic Decision-making during Crises: A Process Approach   Order a copy of this article
    by Marco I. Bonelli, Jiahao Liu 
    Abstract: As currently exemplified by the COVID-19 situation, there is a need to conduct strategic decision-making research through a process approach for crisis where threats, uncertainties, instabilities, pressures and virous negative environmental factors 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 in 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
  • Fostering the Value of Diversity in Organizations During the Pandemic Period   Order a copy of this article
    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
  • A hierarchical structure model for blockchain technology adoption   Order a copy of this article
    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   Order a copy of this article
    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
  • Analysis of barriers to electric vehicles adoption: an integrated Pareto cum FUCOM approach   Order a copy of this article
    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 out with an alternative to 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 extensive literature review, 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
  • A Double-Sampling Approach for Multivariate Control Charting Using Multiple Measurement Strategy and Simulation   Order a copy of this article
    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   Order a copy of this article
    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   Order a copy of this article
    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   Order a copy of this article
    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?   Order a copy of this article
    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   Order a copy of this article
    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   Order a copy of this article
    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)   Order a copy of this article
    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   Order a copy of this article
    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   Order a copy of this article
    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
  • A Dashboard Design of Key Performance Indicator for Monitoring and Improving Employee Performance in the Maintenance Service Industry   Order a copy of this article
    by Mochammad Rizal Wibisono, Muhammad Asrol 
    Abstract: The maintenance service industry sector relies on the role of human resources in operational activities and provides a high-quality service for consumers. To ensuring the industry aligns with the goals it needs to develop a superior, more productive and innovative human resources. This research aims to design a measurement system and dashboard to control employee performance with adopting maintenance process indicators. The analytical hierarchy process (AHP) combined with balanced scorecard framework was applied in determining main indicators and employee performance. This research also proposed a dashboard in displaying the performance result which was designed with waterfall approach. The result show that the current performance measurement was low in average that potentially treating in achieving company’s goal. This research provides a dashboard with supported by sufficient database to display the performance. The result shows that using the proposed dashboard potentially to increase in the average performance of employees up to 15.27%.
    Keywords: analytical hierarchy process; AHP; balanced scorecard; dashboard; decision; key performance indicator; maintenance process; maintenance services industry.
    DOI: 10.1504/IJMDM.2023.10053195
  • 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.

  • 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.

  • Optimising Performance by Fusion of Business Intelligence and Marketing Mix in Decision-Making Process   Order a copy of this article
    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   Order a copy of this article
    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   Order a copy of this article
    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
  • Modelling the causal relationships of the readiness factors for industrial internet of things adoption using DEMATEL-based rough set theory   Order a copy of this article
    by Detcharat Sumrit 
    Abstract: Adopting an emerging technology such as IIoT is a complex process with high risks and failure rate. Therefore, a profound understanding of readiness factors and interrelationships prior to adoption is essential for manufactures. This paper proposes a model framework of the causal relationships of the readiness factors for IIoT adoption using decision-making trial and evaluation laboratory (DEMATEL)-based rough set theory (RST). DEMATEL is to identify the interrelationships among readiness factors, while RST is to capture the ambiguity and subjective information in the decision-making process. The proposed framework is illustrated by taking a case of Thai agro-food processing industry. The finding suggests that the Thai agro-food processing industry needs to focus on three main readiness factors being 'top management support and commitment', 'digital business model' and 'strategic technology roadmap for digitalisation', respectively. This study also provides a deep insight to adopt IIoT for better understanding of the essential readiness factors.
    Keywords: DEMATEL; rough set theory; RST; industrial internet of things; IIoT; multi-criteria decision-making; MCDM.
    DOI: 10.1504/IJMDM.2023.10046258
  • Managing damaged asset: a case study optimisation between refurbishing and divestiture using capital budgeting in a logistics business in Indonesia   Order a copy of this article
    by Effnu Subiyanto, Fitri Ismiyanti, Annisa Farahmei Effnandya 
    Abstract: This study aims to help practitioners and industries measure their asset optimisation in more detail and consider taking the step of refurbishing or divestiture as an option in operational management. The developed methodology is based on capital budgeting and combines it with several financial ratio considerations. This study found that capital budgeting and several financial ratios are proven tools that help industries make the best decisions between options. Based on econometric calculations, the divestiture option is more advisable than the refurbish scheme. First, this study is scientifically met with the aim of asset optimisation in the logistics sector, but it can be adapted for other types of businesses with adequate adjustments. These findings are practically applicable to help industries make faster decisions. This study contributes to the development of knowledge on global logistics businesses.
    Keywords: divestiture; corporate strategy; operation management; logistics; refurbish; capital budgeting; financial ratio; Indonesia.
    DOI: 10.1504/IJMDM.2023.10047147
  • How content factors for the hybrid strategy affect the strategic performance of international oil companies   Order a copy of this article
    by Alhamzah Alnoor, Khaw Khai Wah 
    Abstract: Empirical evidence has shown that the hybrid strategy outperforms Porter's strategies by achieving superior performance. Therefore, differentiation strategy and cost leadership contribute to achieving great competitive and strategic performance. To this end, this study aims to test and achieve the impact of the competitive strategy on the strategic performance of international oil companies. A total of 483 questionnaires were distributed to several managers in the 11 oil companies in Iraq. Using structural equation modelling, it was concluded that the combination of differentiation strategy and cost leadership strategy increases the achievement of strategic advantages at the level of cost, quality, delivery time, flexibility, and innovation.
    Keywords: hybrid strategy; strategic performance; oil industry; cost leadership; differentiation strategy.
    DOI: 10.1504/IJMDM.2023.10048135
  • Employee stress management and well-being while working from home during the pandemic: the role of involvement HRM practices, self-efficacy and hope   Order a copy of this article
    by Athar Hameed, Muddasar Ghani Khwaja 
    Abstract: Researchers have highlighted that as work from home (WFH) mechanisms have progressed during pandemic COVID-19, there is a likelihood that occupational stress levels may arise considerably. Mental health of the employees may deteriorate due to work related stress. Hence, it remains eminent to explore during pandemic, how involvement human resource management practices would affect stress levels of the employees. Perceived work-based self-efficacy, employee stress management and hope were estimated as mediating constructs among involvement HRM practices and mental well-being of employees. In this regard, it was endeavoured to collect primary data through structured questionnaire from the sales staff of telecommunication sector of Pakistan using non-probability convenience sampling. Data estimation was conducted using covariance-based structural equation modelling (CB-SEM) on AMOS 25.0. The results affirmed theoretically established associations.
    Keywords: COVID-19; mental well-being; MWB; hope; occupational stress; employee; involvement human resource management; self-efficacy.
    DOI: 10.1504/IJMDM.2023.10048441
  • Managing foreign language classroom anxiety among French undergraduate students: pedagogical implications and perspectives   Order a copy of this article
    by Arber Shtembari, Marigel Garcia Lozano, Peter Forte 
    Abstract: This study focuses on the effects of explicit teaching on the language anxiety of students in the School of Modern Languages at the University of Poitiers during an English 'oral expression' course. It presents the results of action research hypothesising a link between applied pedagogical methods and the reduction of this type of anxiety. Based on the work of Horwitz et al. (1986) around clarifying language learning anxiety reviewed by Zhao (2007), the research was carried out with first-year students, using mixed methods (a questionnaire, classroom observations, semi-structured interviews). This enabled us to measure the levels of language anxiety the students experienced in class at two different points (n = 20 for T1; n = 23 for T2). The questionnaire asks students about four factors (F1 apprehension of communication in English; F2 test anxiety; F3 fear of negative evaluation; F4 + F5 English classroom anxiety).
    Keywords: foreign language classroom anxiety scale; action research; pedagogy; higher education.
    DOI: 10.1504/IJMDM.2023.10048439