Template-Type: ReDIF-Article 1.0
Author-Name: Frédéric Lassalle
Author-X-Name-First: Frédéric
Author-X-Name-Last: Lassalle
Title: Relational dynamics and decision making for the organisation of the Olympic Games in France
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.
Journal: Int. J. of Management and Decision Making
Pages: 1-18
Issue: 1
Volume: 24
Year: 2025
Keywords: corporate strategy; relational dynamics; sport organisation; International Olympic Committee; IOC; Olympic Games; France.
File-URL: http://www.inderscience.com/link.php?id=142930
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:1:p:1-18

Template-Type: ReDIF-Article 1.0
Author-Name: Maria Rita Filocamo
Author-X-Name-First: Maria Rita
Author-X-Name-Last: Filocamo
Author-Name: Rubina Michela Galeotti
Author-X-Name-First: Rubina Michela
Author-X-Name-Last: Galeotti
Author-Name: Raffaele Mattera
Author-X-Name-First: Raffaele
Author-X-Name-Last: Mattera
Author-Name: Roberto Maglio
Author-X-Name-First: Roberto
Author-X-Name-Last: Maglio
Title: Green bond issuance and value creation for stockholders: evidence from Italy
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.
Journal: Int. J. of Management and Decision Making
Pages: 19-34
Issue: 1
Volume: 24
Year: 2025
Keywords: corporate value creation; green bond; capital asset pricing model; CAPM; matching; sustainability; Italy.
File-URL: http://www.inderscience.com/link.php?id=142931
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:1:p:19-34

Template-Type: ReDIF-Article 1.0
Author-Name: Sylvia Samuel
Author-X-Name-First: Sylvia
Author-X-Name-Last: Samuel
Author-Name: John Tampil Purba
Author-X-Name-First: John Tampil
Author-X-Name-Last: Purba
Title: Collaboration technology usage for decision in utilising e-wallet in the new normal society: evidence from Greater Jakarta, Indonesia
Abstract:
The analysis suggests a research conceptual model for determining the digital technology approach in the application of e-wallet financial technology by customers, particularly after COVID-19 in Indonesia. E-wallets, a critical digital technology within Fintech, collaborate with various industries, such as online transportation and e-commerce marketplaces to help companies in Indonesia meet customer needs despite government restrictions during the pandemic. This study's participants were millennials who use commonplace digital wallet applications in the urban area of Greater Jakarta. The findings show that all variables significantly impacted people's decisions to purchase digital wallet technology in the pre-new normal of the COVID-19 pandemic. The power of e-wallet digital applications linked to the internet, big data, smartphones, and secure and comfortable technology power has encouraged urban society to employ them. Finally, the digital wallet industry and other information urban ecosystems offer various business options for the post-era of COVID-19.
Journal: Int. J. of Management and Decision Making
Pages: 35-55
Issue: 1
Volume: 24
Year: 2025
Keywords: credibility; decision; digital wallet; ease of use; subjective norms; usefulness; Indonesia.
File-URL: http://www.inderscience.com/link.php?id=142940
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:1:p:35-55

Template-Type: ReDIF-Article 1.0
Author-Name: Guillaume Plaisance
Author-X-Name-First: Guillaume
Author-X-Name-Last: Plaisance
Title: Self-assessment of governance bodies and organisational impact in the non-profit sector: the case of a French advocacy organisation
Abstract:
This article examines the link between self-assessment of governance bodies and the organisational impact of a non-profit organisation in the advocacy sector. It is particularly interested in the case of the Jeunes Agriculteurs, a French organisation that relies on its members to function, as a grassroots volunteer organisation. This research relies on the disciplinary vision of governance. The results confirm the relevance of this view within the governance bodies for understanding organisational impact. The article calls for contextual and contingent reflection, particularly in the application of good governance practices. In addition, this article expands the literature on governance in grassroots volunteer organisations, which has neglected the role of members. The article also proposes to retain the concept of impact to better understand the mission of advocacy NPOs. Finally, this article calls for caution with regard to standards and 'best practices' in NPOs, which are not always appropriate.
Journal: Int. J. of Management and Decision Making
Pages: 74-106
Issue: 1
Volume: 24
Year: 2025
Keywords: governance; impact; agency theory; stakeholder theory; non-profit organisation; NPO; contingency.
File-URL: http://www.inderscience.com/link.php?id=142950
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:1:p:74-106

Template-Type: ReDIF-Article 1.0
Author-Name: Edona Llukaçaj
Author-X-Name-First: Edona
Author-X-Name-Last: Llukaçaj
Author-Name: Erion Periku
Author-X-Name-First: Erion
Author-X-Name-Last: Periku
Title: The reinvention of the self in the centre as an approach that makes construction projects fail
Abstract:
Researchers' efforts to analyse the causes of failure and/or diversion in the construction industry are extensive. Nevertheless, the number of construction projects that present deficiencies minimally in one of their complementary elements remains high. This article aims to shed light on why numerous construction projects fail to meet their functional parameters, emphasising that an overlooked cause is the inconsiderate approach of those in charge towards the surroundings. Relying on postcolonial theory concepts, it will also study the impact of the Othering attitude of construction projects' executives in terms of satisfying the needs and interests of its beneficiaries. Via the analysis of nine construction projects built at different time periods, in various parts of the world, the authors aim to bring to attention how these agents' approach is detrimental and costly for the construction industry and how a less self-centred and more appreciative line benefits all the involved parties and wider.
Journal: Int. J. of Management and Decision Making
Pages: 56-73
Issue: 1
Volume: 24
Year: 2025
Keywords: Othering; construction projects; project failure; marginalisation; functional deficiency.
File-URL: http://www.inderscience.com/link.php?id=142952
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:1:p:56-73

Template-Type: ReDIF-Article 1.0
Author-Name: Mohammed A. Mahyoub
Author-X-Name-First: Mohammed A.
Author-X-Name-Last: Mahyoub
Title: Integrating multi-criteria decision making and simulation modelling to improve health referral processing
Abstract:
This research introduces an integrated framework that combines the fuzzy analytic hierarchy process (FAHP) and discrete-event simulation (DES) for process improvement in the healthcare sector. By considering multiple criteria and uncertainties, the framework provides a systematic approach to selecting and evaluating optimal process improvement policies. A case study focusing on enhancing a health referral processing unit (HRPU) validates the effectiveness of the framework. Simulation experiments reveal significant reductions in average delay time (ADT) and average time in the system (ATIS) for specific alternatives. The FAHP-DES method ranks improvement policies based on multiple criteria, leading to the identification of the best alternative. This integrated approach offers a comprehensive methodology for healthcare process improvement, emphasising the importance of systematic decision-making to achieve substantial improvements.
Journal: Int. J. of Management and Decision Making
Pages: 107-131
Issue: 2
Volume: 24
Year: 2025
Keywords: simulation modelling; fuzzy analytic hierarchy process; fuzzy AHP; multi-criteria decision making; healthcare process improvement; discrete-event simulation; DES; uncertainty; health referral processing; care management; health referral processing unit; HRPU.
File-URL: http://www.inderscience.com/link.php?id=144704
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:2:p:107-131

Template-Type: ReDIF-Article 1.0
Author-Name: Alamir Costa Louro
Author-X-Name-First: Alamir Costa
Author-X-Name-Last: Louro
Author-Name: Marcelo Moll Brandão
Author-X-Name-First: Marcelo Moll
Author-X-Name-Last: Brandão
Author-Name: Jurij Jaklic
Author-X-Name-First: Jurij
Author-X-Name-Last: Jaklic
Author-Name: Arthur França Sarcinelli
Author-X-Name-First: Arthur França
Author-X-Name-Last: Sarcinelli
Title: How can the fit between adaptive analytics and organic culture impact organisational performance?
Abstract:
In marketing and information system disciplines, there is considerable interest in understanding the relationship between analytics and organisational performance. To comprehend this relationship, it is first necessary to uncover the role of culture and adaptive marketing. It is also necessary to test a model with intervenient mediation mechanism to narrow the marketing capabilities gap. The study employed a cross-sectional survey design with stratified random sampling to collect data from diverse organisations. Data analysis was conducted using PLS-SEM for hypothesis testing, OLS regression within the SPSS PROCESS macro to investigate mediation effects, and R for post hoc tests. The model has shown an indirect-only effect of adaptive analytics and organisational culture fit using static marketing capabilities and absorptive capacity as mediators. The results suggest precaution for managers because this fit construct also needs pre-existing static marketing capabilities and absorptive capacity to impact performance. It also provides managers with a useful tool to assess their organisations regarding analytics and culture.
Journal: Int. J. of Management and Decision Making
Pages: 132-151
Issue: 2
Volume: 24
Year: 2025
Keywords: adaptive analytics; organisational culture; marketing capabilities; PLS-SEM.
File-URL: http://www.inderscience.com/link.php?id=144709
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:2:p:132-151

Template-Type: ReDIF-Article 1.0
Author-Name: Lucie Waleczek Zotyková
Author-X-Name-First: Lucie Waleczek
Author-X-Name-Last: Zotyková
Title: A decision support model for online marketing investment decisions
Abstract:
This study provides a decision support model for starting e-commerce projects. The proposed model uses individual tips from online marketing activities for investment decisions in online marketing using profit simulation and modelling. An e-shop was established and operational in 2022. The coronavirus pandemic (COVID-19) had a wide-ranging effect on e-commerce, technology, business, travel, and the economy. Regression analysis was used to investigate the viability of e-commerce projects considering seasonal trends. The proposed decision support, along with its assessment model and fine-tuning procedures, is described in this study.
Journal: Int. J. of Management and Decision Making
Pages: 152-168
Issue: 2
Volume: 24
Year: 2025
Keywords: COVID-19 pandemic; decision support; e-commerce; changes in shopping behaviour; online marketing; regression modelling; search engines; simulation; small and medium companies; social networks.
File-URL: http://www.inderscience.com/link.php?id=144710
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:2:p:152-168

Template-Type: ReDIF-Article 1.0
Author-Name: Robert A. Allen
Author-X-Name-First: Robert A.
Author-X-Name-Last: Allen
Author-Name: Gareth R.T. White
Author-X-Name-First: Gareth R.T.
Author-X-Name-Last: White
Title: The attribution of expertise: modelling relational and organisational factors
Abstract:
The term 'expert' is frequently encountered both in the management literature and in the common parlance of business. However, the relational dimension of 'expertise' has received little academic attention and lacks clear theoretical underpinning. This study addresses this gap through an exploration of how sources of expertise are identified and utilised in a UK Government Department. A series of semi-structured interviews were used to explore the activities and experiences of 19 staff. The study identifies the complex interactions among institutional, personal and task-related factors. From this, it develops a comprehensive model of the attribution of expertise. This model could be used by organisations to develop appropriate strategies for the management of expert resources and decision making. This study addresses the paucity of empirical research that examines the relational dimensions of the attribution of expertise.
Journal: Int. J. of Management and Decision Making
Pages: 191-207
Issue: 2
Volume: 24
Year: 2025
Keywords: expert; expertise; attribution; decision-making; management; public sector; government; relational.
File-URL: http://www.inderscience.com/link.php?id=144713
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:2:p:191-207

Template-Type: ReDIF-Article 1.0
Author-Name: Godwin Francis
Author-X-Name-First: Godwin
Author-X-Name-Last: Francis
Author-Name: Maria Papadaki
Author-X-Name-First: Maria
Author-X-Name-Last: Papadaki
Author-Name: Hamid Saeed
Author-X-Name-First: Hamid
Author-X-Name-Last: Saeed
Title: The mediating effect of organisational resilience and internal preparedness on the relationship between external vulnerabilities and performance
Abstract:
The performance of an organisation is contingent on external and internal business environments. A resilient business process strengthens the stability of the organisation. The underlying study focused on the effect of organisational resilience on business performance under the influence of external vulnerabilities. A survey was conducted and data were collected from 144 organisations in the UAE. Structural equation modelling was used to test the hypotheses. The findings showed that organisational performance was positively and significantly related to external and internal factors with resilient characteristics and capacities. The relationships between resilient characteristics, resilient capacities, and firm performance were also positive and significant. The mediation results showed an indirect relationship between resilient characteristics and firm performance, and resilient capacities fully mediated this association. The research has contributed to resilience theories, and has also provided a framework to managers and decision makers to achieve greater resilience for better business performance.
Journal: Int. J. of Management and Decision Making
Pages: 169-190
Issue: 2
Volume: 24
Year: 2025
Keywords: organisational resilience; business performance; organisational factors; UAE organisations; resilience characteristics; structural equation modelling; mediation analysis.
File-URL: http://www.inderscience.com/link.php?id=144715
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:2:p:169-190

Template-Type: ReDIF-Article 1.0
Author-Name: Hoang-Phu Nguyen
Author-X-Name-First: Hoang-Phu
Author-X-Name-Last: Nguyen
Author-Name: Thi-Ha Thai
Author-X-Name-First: Thi-Ha
Author-X-Name-Last: Thai
Author-Name: Chia-Nan Wang
Author-X-Name-First: Chia-Nan
Author-X-Name-Last: Wang
Title: Using Malmquist and epsilon-based data envelopment analysis to assess the performance efficiency of pharmaceutical manufacturers
Abstract:
The pharmaceutical industry in Vietnam has seen significant growth, but many components require significant capacity investment. Consumers now prefer pharmacies that comply with good pharmaceutical practice standards over unlicensed outlets, leading to increased competition for market share. This study aims to develop a comprehensive framework for assessing the efficiency of pharmaceutical manufacturers, focusing on performance evaluation of companies. A hybrid approach using DEA Malmquist and EBM methods was applied to 12 pharmaceutical companies in Vietnam from 2017 to 2020. The study focuses on the technical and technological components of pharmaceutical enterprises, offering customised insights and actionable knowledge. The study introduces an innovative evaluation approach, including proportional adjustments of inputs/outputs and accounting for slacks, providing a comprehensive evaluation of efficiency and inefficiency within decision-making units (DMUs). This comprehensive method offers insights for benchmarking, strategic planning, and decision-making, contributing to the industry's sustainability journey and influencing the development of pharmacological systems.
Journal: Int. J. of Management and Decision Making
Pages: 209-235
Issue: 3
Volume: 24
Year: 2025
Keywords: performance efficiency; pharmaceutical company; data envelopment analysis; DEA; Malmquist; epsilon-based measure; EBM.
File-URL: http://www.inderscience.com/link.php?id=145898
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Template-Type: ReDIF-Article 1.0
Author-Name: Telma Ferreira dos Santos
Author-X-Name-First: Telma Ferreira dos
Author-X-Name-Last: Santos
Author-Name: Angelo Pereira
Author-X-Name-First: Angelo
Author-X-Name-Last: Pereira
Author-Name: Ricardo Correia
Author-X-Name-First: Ricardo
Author-X-Name-Last: Correia
Author-Name: João Geraldes
Author-X-Name-First: João
Author-X-Name-Last: Geraldes
Author-Name: Rui Gonçalves
Author-X-Name-First: Rui
Author-X-Name-Last: Gonçalves
Author-Name: Renato Lopes da Costa
Author-X-Name-First: Renato Lopes da
Author-X-Name-Last: Costa
Title: The impact of RBV on value creation in the pharmaceutical industry
Abstract:
The theory of the resource-based view addresses all the complexity of adopting strategic methods in competitive environments, such as the pharmaceutical industry, in which there is a constant struggle to acquire competitive advantage and for companies to differentiate themselves from others. Having said this, it is important to understand the impact that the resource-based view can have on the pharmaceutical industry, and how it can generate competitive advantage for different companies. The methodology for data collection was the realisation of semi-structured interviews based on questions that emerged throughout the literature review, where the MAXQDA software was used for analysis and coding of the corpus of each interview. It was concluded that this type of strategy has several positive impacts at the internal and external levels of the pharmaceutical industry, ranging from the creation of more competitive environments through the success of innovation, the allocation of resources in the best way to meet the needs of the company and the market, and clearly a greater internal knowledge of the weaknesses of each company, investing in continuous improvement.
Journal: Int. J. of Management and Decision Making
Pages: 257-287
Issue: 3
Volume: 24
Year: 2025
Keywords: strategy; pharmaceutical industry; competitive advantage; market gaps.
File-URL: http://www.inderscience.com/link.php?id=145902
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:3:p:257-287

Template-Type: ReDIF-Article 1.0
Author-Name: N. Muhammad Farhan Hakim Nik Badrul Alam
Author-X-Name-First: N. Muhammad Farhan Hakim Nik Badrul
Author-X-Name-Last: Alam
Author-Name: Ku Muhammad Naim Ku Khalif
Author-X-Name-First: Ku Muhammad Naim Ku
Author-X-Name-Last: Khalif
Author-Name: Nor Izzati Jaini
Author-X-Name-First: Nor Izzati
Author-X-Name-Last: Jaini
Title: Decision-making using novel ranking of intuitionistic fuzzy numbers based on vectorial distance and spread
Abstract:
The intuitionistic fuzzy numbers (IFN) are powerful in handling the uncertainties in the decision-making world. In this research, a novel ranking function of the IFN based on the vectorial distances and spread of the membership and non-membership functions is proposed. The vectorial distance measures the separation of the IFN from the origin while the spread represents the horizontal slit of the IFN. As a validation, some empirical examples are used to illustrate the strength of the proposed ranking method. Some situations where the IFN having different heights and spreads for the membership and non-membership functions are considered to test the robustness of the ranking approach. Further, a decision-making model based on the proposed ranking method is developed, namely the intuitionistic weighted aggregated sum product assessment (IF-WASPAS). The preference of lecturers either to conduct online, hybrid or physical class was adopted to visualise the applicability of the proposed ranking function.
Journal: Int. J. of Management and Decision Making
Pages: 236-256
Issue: 3
Volume: 24
Year: 2025
Keywords: decision-making; intuitionistic fuzzy numbers; IFN; ranking function; spread; vectorial distance.
File-URL: http://www.inderscience.com/link.php?id=145915
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:3:p:236-256

Template-Type: ReDIF-Article 1.0
Author-Name: Nicole A. Yeung
Author-X-Name-First: Nicole A.
Author-X-Name-Last: Yeung
Author-Name: Marta Sinclair
Author-X-Name-First: Marta
Author-X-Name-Last: Sinclair
Title: How expat-preneurs make decisions - the role of intuition
Abstract:
Expatriate entrepreneurs (expat-preneurs) are a group of unique people who voluntarily move countries and benefit from entrepreneurial activities. Despite the growing volume of literature dedicated to conceptualising expat-preneurs, little attention has been dedicated to understanding their decision-making patterns. The purpose of this paper is to establish a preliminary view of how expat-preneurs make decisions with a particular emphasis on intuitive decision-making. The exploratory case study used an inductive approach by analysing qualitative interview data from expat-preneurs working in Hong Kong. The findings demonstrated that expat-preneurs frequently use intuition, sometimes in combination with analytical decision-making and revealed more fine-grained insights into how both styles interact. Specifically, data identified that expat-preneurial decision-making processes are predicated on contextual factors such as time dichotomy, decision-making maturity, decision magnitude, intuitive sensing and external stimulus. This study is the first attempt to explore expat-preneurial decision-making processes at the intersection of entrepreneurship, international entrepreneurship and intuition decision-making literature. Based on the findings, the occurrence of 'slow' and 'fast' intuition was identified and their relationships with expert and creative intuition were examined. As a result, it is proposed that entrepreneurial intuition is regarded as a form of professional context rather than a type of intuition.
Journal: Int. J. of Management and Decision Making
Pages: 288-314
Issue: 3
Volume: 24
Year: 2025
Keywords: intuition; decision-making; expat-preneurs; types of intuition; international entrepreneurship.
File-URL: http://www.inderscience.com/link.php?id=145930
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:3:p:288-314

Template-Type: ReDIF-Article 1.0
Author-Name: Haniruzila Hanifah
Author-X-Name-First: Haniruzila
Author-X-Name-Last: Hanifah
Author-Name: Hasliza Abdul Halim
Author-X-Name-First: Hasliza Abdul
Author-X-Name-Last: Halim
Author-Name: Ali Vafaei-Zadeh
Author-X-Name-First: Ali
Author-X-Name-Last: Vafaei-Zadeh
Author-Name:  Syafrizal
Author-X-Name-First: 
Author-X-Name-Last: Syafrizal
Title: Empowering innovation in Malaysian manufacturing SMEs: the influence of organisational resources and knowledge sharing with HRM practices as a moderator
Abstract:
This study examines how structural capital, human capital, internal and external relational capital, and entrepreneurial orientation influence knowledge sharing, which impacts innovation performance in Malaysian manufacturing SMEs. It also investigates the role of human resource management practices in moderating this relationship. Analysing data from 133 manufacturing SMEs in Malaysia via partial least squares, the research reveals that structural, internal, and external relational capital, and entrepreneurial orientation, are positively linked to knowledge sharing. Surprisingly, human capital and international relational capital do not mediate between knowledge sharing and innovation performance. However, knowledge sharing positively correlates with innovation performance and is further enhanced by human resource management practices. These findings indicate the significance of intellectual capital and knowledge sharing in driving innovation, highlighting the crucial role of effective human resource management practices in this process. This study offers valuable insights for practitioners, policymakers, and scholars, informing strategic organisational decisions and future research.
Journal: Int. J. of Management and Decision Making
Pages: 336-370
Issue: 4
Volume: 24
Year: 2025
Keywords: intellectual capital; entrepreneurial orientation; knowledge sharing; innovation performance; HRM practices; manufacturing SMEs.
File-URL: http://www.inderscience.com/link.php?id=147189
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:4:p:336-370

Template-Type: ReDIF-Article 1.0
Author-Name: Anıl Utku
Author-X-Name-First: Anıl
Author-X-Name-Last: Utku
Author-Name: Sema Kayapinar Kaya
Author-X-Name-First: Sema Kayapinar
Author-X-Name-Last: Kaya
Author-Name: Umit Can
Author-X-Name-First: Umit
Author-X-Name-Last: Can
Title: Deep learning-based hybrid traffic flow prediction model for freight transport
Abstract:
Urban freight transportation is crucial to sustaining domestic and international trade and fulfilling the regular requirements of community companies and customers. Therefore, this study developed an efficient convolutional neural network (CNN) and long short-term memory (LSTM) based hybrid deep learning model for predicting traffic flow in freight transportation. The number of freight trucks that would travel along 663 Street in Anderlecht, Belgium, and their average speed was predicted. The created model was compared with support vector machine (SVM), linear regression (LR), multilayer perceptron (MLP), random forest (RF), LSTM, and CNN using the success measures. The critical finding of this study is that combining the feature extraction ability of the 1D CNN model with the learning ability of the LSTM model from multivariate traffic data increases the traffic density prediction success compared to other traditional methods. Based on the results of the experiments, the CNN-LSTM model outperformed all the other models employed in this study. With this model, freight density can be successfully predicted, assisting in planning freight transport activities.
Journal: Int. J. of Management and Decision Making
Pages: 371-393
Issue: 4
Volume: 24
Year: 2025
Keywords: deep learning; freight transportation; machine learning; traffic flow; traffic prediction.
File-URL: http://www.inderscience.com/link.php?id=147193
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:4:p:371-393

Template-Type: ReDIF-Article 1.0
Author-Name: Murat Ulgu
Author-X-Name-First: Murat
Author-X-Name-Last: Ulgu
Author-Name: Yesim Deniz Ozkan-Ozen
Author-X-Name-First: Yesim Deniz
Author-X-Name-Last: Ozkan-Ozen
Title: Assessment of performance indicators for sustainable agri-retail sector
Abstract:
The value of the agriculture sector is becoming even more pronounced due to increase in consumption. Therefore, ensuring sustainability in the agriculture sector is critical for the future of humanity. With the increasing power of retailers in the supply chain, they have gained importance in sustainability efforts in the sector. To achieve social, environmental, and economic sustainability in the agriculture sector, retailers need to enhance their own sustainability practices. Therefore, the agri-retail sector becomes one of a crucial area. In this study, social, environmental, and economic sustainability criteria were examined in the agri-retail sector through a sample study. The importance of the criteria was determined using the fuzzy criteria importance through intercriteria correlation (CRITIC) method, and total interpretive structural modelling (TISM) method is used for determining interrelations between the criteria. Based on the results, the prominent sustainability criteria for the agri-retail sector were identified and evaluated.
Journal: Int. J. of Management and Decision Making
Pages: 394-421
Issue: 4
Volume: 24
Year: 2025
Keywords: agricultural retail; sustainability; performance assessment; supply chain management; total interpretive structural modelling; TISM.
File-URL: http://www.inderscience.com/link.php?id=147208
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:4:p:394-421

Template-Type: ReDIF-Article 1.0
Author-Name: Fatemeh Khorasanchi
Author-X-Name-First: Fatemeh
Author-X-Name-Last: Khorasanchi
Author-Name: Ali Reza Hashemi Nekoo
Author-X-Name-First: Ali Reza Hashemi
Author-X-Name-Last: Nekoo
Title: Customer knowledge management, organisational ambidexterity, and firm performance: an organisational driving triangle perspective
Abstract:
This paper examines the impact of customer knowledge management (CKM) on ambidexterity and firm performance. For this purpose, the authors propose a theoretical framework that examines how ambidexterity mediates the relationship between customer knowledge management and firm performance. The scope of this study encompasses 96 creative Iranian startups. This study is cross-sectional, and the data was collected within a month. To test hypotheses, we used partial least squares-structural equation modelling with Smart PLS-SEM v.3.2.8. The findings show that ambidexterity has a notable mediating function in the association between customer knowledge management and firm performance. The study conducted is one of the first to use mediation analysis to determine how organisational performance is affected by ambidexterity as a mediator. The findings show the important role of ambidexterity in the impact of customer knowledge management on business performance. It makes a significant contribution to the theoretical perspective of managing customer knowledge. The authors suggest practical decision-making recommendations for decision-makers adopting customer knowledge management.
Journal: Int. J. of Management and Decision Making
Pages: 315-335
Issue: 4
Volume: 24
Year: 2025
Keywords: customer knowledge management; CKM; firm performance; ambidexterity; partial least square; startup.
File-URL: http://www.inderscience.com/link.php?id=147214
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:4:p:315-335

Template-Type: ReDIF-Article 1.0
Author-Name: Mugaahed Abdu Kaid Saleh
Author-X-Name-First: Mugaahed Abdu Kaid
Author-X-Name-Last: Saleh
Author-Name: Fozi Ali Belhaj
Author-X-Name-First: Fozi Ali
Author-X-Name-Last: Belhaj
Author-Name: Harold Andrew Patrick
Author-X-Name-First: Harold Andrew
Author-X-Name-Last: Patrick
Author-Name: Abdullah Yahia Al Gharsi
Author-X-Name-First: Abdullah Yahia Al
Author-X-Name-Last: Gharsi
Title: Unleashing potential for SMEs in resource-constrained economies through decision making practice: the mediating role of organisational learning and IT adoption
Abstract:
Managers and owners of small and medium enterprises (SMEs) invest in their competencies, organisational learning and utilising information technology to promote their businesses. Covering this aspect in the context of lower income countries is lacking in the literature. Moreover, research is scant regarding the role of organisational learning and utilising information technology in facilitating the effect of decision making practices (DMPs) on SMEs performance. The current study fills this gap by exploring the aspect of manufacturing SMEs in Yemen as a lower income economy. By relying on cross-sectional design and primary data collected conveniently from 400 SMEs managers/owners in Yemen, the findings confirm a significant and positive direct effect of adopting DMPs on SMEs performance, and this effect is significantly mediated by utilising information technology and not by organisational learning. The results also show a direct effect of entrepreneurial competencies on SMEs performance. The implications and future directions of this study's findings are discussed.
Journal: Int. J. of Management and Decision Making
Pages: 423-451
Issue: 5
Volume: 24
Year: 2025
Keywords: decision making; small and medium enterprises; SMEs; organisational learning; IT adoption; performance; decision making practices; DMPs.
File-URL: http://www.inderscience.com/link.php?id=148341
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:5:p:423-451

Template-Type: ReDIF-Article 1.0
Author-Name: Hedayat Ebrahimi
Author-X-Name-First: Hedayat
Author-X-Name-Last: Ebrahimi
Author-Name: Zahra Hassani
Author-X-Name-First: Zahra
Author-X-Name-Last: Hassani
Author-Name: Sajjad Jalali
Author-X-Name-First: Sajjad
Author-X-Name-Last: Jalali
Author-Name: Vahid Hajipour
Author-X-Name-First: Vahid
Author-X-Name-Last: Hajipour
Title: Reducing Muda with Industry 4.0: a case study on ERP system enhancement
Abstract:
This paper is to explore the integration of Industry 4.0 (I4.0) technologies into a customised enterprise resource planning (ERP) system, with a specific focus on reducing Muda in the manufacturing environment. As a fresh perspective, assessing the catalyst role of ERP is not limited to a certain module of the ERP but contains the main streams of functionality in the core business processes of the given context. The methodology involves conducting interviews with experts plus using ranking and inferencing approaches. This leads to pre-selecting, prioritising, and measuring the effectiveness of I4.0 enablers in reducing Muda besides justifying the implication of ERP's applicability in the given context. Results demonstrate the contribution of enablers in reducing Muda while signalling the most substantial ones. Leveraging the core business processes of the ERP across the interaction between I4.0 enablers and Muda, the adaptability of the ERP to embrace the enablers is also conveyed.
Journal: Int. J. of Management and Decision Making
Pages: 469-492
Issue: 5
Volume: 24
Year: 2025
Keywords: Industry 4.0; lean practices; enterprise resource planning; ERP; waste management; best-worst method; BWM; integration.
File-URL: http://www.inderscience.com/link.php?id=148343
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:5:p:469-492

Template-Type: ReDIF-Article 1.0
Author-Name: Ifrah Malik
Author-X-Name-First: Ifrah
Author-X-Name-Last: Malik
Author-Name: Noman Sohail
Author-X-Name-First: Noman
Author-X-Name-Last: Sohail
Author-Name: Bin Hu
Author-X-Name-First: Bin
Author-X-Name-Last: Hu
Author-Name: Fuqing Li
Author-X-Name-First: Fuqing
Author-X-Name-Last: Li
Title: To investigate the influence of strategic factors on e-business adoption in small and medium enterprises: a multivariate analysis
Abstract:
This study explores the impact of strategic factors on e-business adoption by Chinese SMEs, focusing on innovation orientation, competitive pressure, and corporate strategy alignment. Using Rogers' diffusion of innovation theory and the technology organisation evolution model, the research employs a multivariate approach to predict adoption patterns. Results show a strong link between technical organisation evolution traits and e-business adoption. Organisations with explicit and advanced technological capabilities better absorb new technologies and transfer knowledge effectively. The study also emphasises that e-business adoption enhances company performance. It highlights policy implications to boost e-business adoption in China, benefiting SMEs, policymakers, and academics. As online shopping grows, its positive impact on people's lives expands. The findings provide insights to foster e-business integration, enhance SME competitiveness, and promote socio-economic development through digital transformation in China.
Journal: Int. J. of Management and Decision Making
Pages: 493-512
Issue: 5
Volume: 24
Year: 2025
Keywords: e-business; small and medium enterprises; developing countries; technology adoption; diffusion of innovation; DOI; technology organisation evolution.
File-URL: http://www.inderscience.com/link.php?id=148348
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:5:p:493-512

Template-Type: ReDIF-Article 1.0
Author-Name: Parvaneh Assari
Author-X-Name-First: Parvaneh
Author-X-Name-Last: Assari
Title: Factors affecting customer relationship digital transformation strategies in airline industry: a grounded theory approach 
Abstract:
The purpose of this study is to examine the factors which influence digital transformation (DT) strategies in customer relationship management (CRM) focusing on airlines in UAE using three key airlines as statistical population. Applying grounded theory (GT), the first phase took a qualitative approach using a methodological framework adapted from Corbin and Strauss (1990). This involved 13 CRM experts with deep understanding of digitisation processes within the airline sector who were subjected to intensive interviews during this stage. The participants were chosen using the snowball sampling approach, with theoretical saturation based on all important topics and ideas being investigated during the interview process. The qualitative analysis showed that successful CRM digital transformations have two essential phenomena: strategic digital transformation alignment with CRM objectives, technological adaptation and innovation. Besides, some causal and intervening conditions, strategies and outcomes have also been found outlining how these elements interact.
Journal: Int. J. of Management and Decision Making
Pages: 513-533
Issue: 5
Volume: 24
Year: 2025
Keywords: customer relationship; digital transformation; DT; airline industry; grounded theory.
File-URL: http://www.inderscience.com/link.php?id=148352
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:5:p:513-533

Template-Type: ReDIF-Article 1.0
Author-Name: Steven F. Siconolfi
Author-X-Name-First: Steven F.
Author-X-Name-Last: Siconolfi
Title: An analytics-based integrated decision tool for evaluating faculty workloads
Abstract:
This paper examines the integration of traditional teaching course loads (three courses in the fall plus three courses in the spring or four courses in the fall plus four courses in the spring) expressed as direct teaching hours, with percent effort distribution (teaching, scholarship, and service). Sixteen analyses showed 70% teaching, 20% scholarship, and 10% service with a 3 + 3 teaching load yielded a 40-hour academic workweek, 90% teaching, 0% scholarship, and 10% service with a 4 + 4 teaching load yielded a 41-hour academic workweek. Adding administrative load as a percent, not equal to a course release, produced a six-day academic workweek. The addition of experiential learning only provided a marginal increase in workload. We recommend tenure track faculty teach and produce adequate scholarship and service with a 3 + 3 teaching load, and non-tenure track faculty teach and produce adequate service with a 4 + 4 teaching load. Departments should consider adjusting promotion and tenure guidelines to reflect the amount of available time.
Journal: Int. J. of Management and Decision Making
Pages: 452-468
Issue: 5
Volume: 24
Year: 2025
Keywords: workloads; teaching load; percent effort; academic workweek.
File-URL: http://www.inderscience.com/link.php?id=148353
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:5:p:452-468

Template-Type: ReDIF-Article 1.0
Author-Name: Mohammad Salehi
Author-X-Name-First: Mohammad
Author-X-Name-Last: Salehi
Author-Name: Raouf Khayami
Author-X-Name-First: Raouf
Author-X-Name-Last: Khayami
Author-Name: Mirpouya Mirmozaffari
Author-X-Name-First: Mirpouya
Author-X-Name-Last: Mirmozaffari
Title: An integrated fuzzy Delphi-DEMATEL and analytic network process for sustainable operations and evaluations in process mining
Abstract:
This study examines the evolving role of process mining in monitoring real-world processes through advanced discovery algorithms like alpha, PSO miner, and genetic miner. Traditionally, these algorithms have been evaluated using precision, consistency, simplicity, and generalisation. However, the IEEE task force on process mining called for new dimensions and refined priorities. Using the fuzzy Delphi method, the study evaluated 12 dimensions and 20 criteria, narrowing them to 6 dimensions and 10 key criteria. The decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (DANP) method was applied to prioritise and weigh these factors. Key additions include the new dimensions of explainability and robustness. The study identifies consistency, cyclomatic complexity, and density as major performance influencers, with simplicity receiving the highest weight (0.175) and consistency the lowest (0.153). These findings aim to enhance process discovery algorithms by addressing both traditional and newly identified dimensions.
Journal: Int. J. of Management and Decision Making
Pages: 583-613
Issue: 6
Volume: 24
Year: 2025
Keywords: sustainable discovery algorithm; process mining; multi-criteria decision-making; MCDM; DEMATEL-based analytic network process; DANP; fuzzy Delphi; discovery algorithm's performance dimensions.
File-URL: http://www.inderscience.com/link.php?id=149569
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:6:p:583-613

Template-Type: ReDIF-Article 1.0
Author-Name: Sumona Bhattacharya
Author-X-Name-First: Sumona
Author-X-Name-Last: Bhattacharya
Author-Name: Disha Sharma
Author-X-Name-First: Disha
Author-X-Name-Last: Sharma
Author-Name: Alka Pandey
Author-X-Name-First: Alka
Author-X-Name-Last: Pandey
Title: Leveraging data analytics in management accounting for enhanced decision making in the sharing economy
Abstract:
Data analytics plays a crucial role in management accounting within the sharing economy by enabling better decision making through insights from vast data sources. By employing advanced analytics techniques, organisations can optimise resource allocation, improve operational efficiency, and enhance strategic planning. Key benefits include an improved understanding of consumer behaviour, more accurate demand forecasting, and the implementation of dynamic pricing strategies. Data analytics helps reduce risks like fraud, and disruptions and enhances financial performance. The integration of analytics fosters real-time financial insights (25% effectiveness) and optimised cost management (18%), promoting agile, data-driven strategies for growth and competitive advantage. Python software is key in implementing these advancements, leading to more personalised customer experiences and flexible pricing models.
Journal: Int. J. of Management and Decision Making
Pages: 535-556
Issue: 6
Volume: 24
Year: 2025
Keywords: data analytics; decision making; sharing economy; key performance indicators; data visualisation.
File-URL: http://www.inderscience.com/link.php?id=149579
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:6:p:535-556

Template-Type: ReDIF-Article 1.0
Author-Name: Sradhanjali Samal
Author-X-Name-First: Sradhanjali
Author-X-Name-Last: Samal
Author-Name: Saurabh Gupta
Author-X-Name-First: Saurabh
Author-X-Name-Last: Gupta
Title: Regulatory focus theory and psychological decision making: a systematic literature review and future outlook
Abstract:
Psychological theories have been extensively applied in consumer psychological literature to understand the elements that influence user intentions and decision-making processes. Regulatory focus theory (RFT) explores the ways in which decision-making is shaped by an emphasis on promotion and prevention. This study aims to perform a systematic literature review (SLR) of the existing literature to consolidate the current understanding of RFT. Therefore, this investigation aims to provide an in-depth analysis of the foundations of RFT and its connections with other relevant concepts in the realm of psychological theories. Furthermore, it provides an in-depth review of the most recent findings, significant topics, practical implications, and possible future directions in the realm of RFT literature. The findings highlight the important influence of the promotion focus and prevention focus framework in forecasting psychological decision-making processes. The analysis provides valuable insights for scholars and practitioners seeking to expand their comprehension of RFT. It addresses RFT's advantages and disadvantages, focuses on how it is used in different situations, and emphasises the need for methodological improvements in decision making research.
Journal: Int. J. of Management and Decision Making
Pages: 557-582
Issue: 6
Volume: 24
Year: 2025
Keywords: regulatory focus theory; RFT; promotion focus; prevention focus; decision making; systematic literature review; SLR.
File-URL: http://www.inderscience.com/link.php?id=149592
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Template-Type: ReDIF-Article 1.0
Author-Name: Nhat Quyen Phan
Author-X-Name-First: Nhat Quyen
Author-X-Name-Last: Phan
Author-Name: Thi Diem Chau Le
Author-X-Name-First: Thi Diem Chau
Author-X-Name-Last: Le
Title: Integrated mathematical model to optimise workstations in garment assembly line balancing
Abstract:
The study presents an integrated approach that combines ant colony optimisation (AntCO) and dynamic Min-Max normalisation (DMMN), namely the DMMN-AntCO, to address the assembly line balancing problem (ALBP) in the textile industry. The primary objective is to develop a practical approach for decision-making support by minimising workstation processing time deviation from takt time (TT) and reducing operational and setup costs. AntCO generates solutions iteratively using pheromone trails, while DMMN dynamically updates objective function values, allowing unbiased solution comparisons. Experimental outcomes show that the DMMN-AntCO significantly improves workload balance through the smooth index, decreasing from 8.72 to 6.01, and lowers production costs by over 360 USD compared to traditional methods. This study has provided a robust algorithm to optimise production line balancing, reduce costs, and enhance resource utilisation. The results confirm the effectiveness of the DMMN-AntCO method, thereby strengthening the fast response and competitive advantage of companies in the textile industry.
Journal: Int. J. of Management and Decision Making
Pages: 614-632
Issue: 6
Volume: 24
Year: 2025
Keywords: ant colony optimisation; dynamic Min-Max normalisation; DMMN; multi-objective optimisation; assembly line balancing; task allocation; meta-heuristic algorithm; textile industry; workload balance.
File-URL: http://www.inderscience.com/link.php?id=149602
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Handle: RePEc:ids:ijmdma:v:24:y:2025:i:6:p:614-632