Template-Type: ReDIF-Article 1.0
Author-Name: Saeid Sharafi
Author-X-Name-First: Saeid
Author-X-Name-Last: Sharafi
Author-Name: Parnaz Khanbeygi
Author-X-Name-First: Parnaz
Author-X-Name-Last: Khanbeygi
Author-Name: Mohammad Reza Maleki
Author-X-Name-First: Mohammad Reza
Author-X-Name-Last: Maleki
Author-Name: Ali Salmasnia
Author-X-Name-First: Ali
Author-X-Name-Last: Salmasnia
Title: A double-sampling approach for multivariate control charting using multiple measurement strategy and simulation
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.
Journal: Int. J. of Management and Decision Making
Pages: 137-153
Issue: 2
Volume: 23
Year: 2024
Keywords: additive covariate model; multivariate control chart; multiple measurements strategy; double sampling; run length.
File-URL: http://www.inderscience.com/link.php?id=137004
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:2:p:137-153

Template-Type: ReDIF-Article 1.0
Author-Name: Nidhi Singh
Author-X-Name-First: Nidhi
Author-X-Name-Last: Singh
Author-Name: Surender Kumar
Author-X-Name-First: Surender
Author-X-Name-Last: Kumar
Title: Bibliometric analysis of corporate social performance, assessment and evolution
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, it 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.
Journal: Int. J. of Management and Decision Making
Pages: 154-187
Issue: 2
Volume: 23
Year: 2024
Keywords: corporate social performance; CSP; bibliometric analysis; Scopus; emerging research themes; future research directions.
File-URL: http://www.inderscience.com/link.php?id=137012
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:2:p:154-187

Template-Type: ReDIF-Article 1.0
Author-Name: Karina Guadalupe Cortina-Calderón
Author-X-Name-First: Karina Guadalupe
Author-X-Name-Last: Cortina-Calderón
Author-Name: Jesús Gerardo Delgado-Rivas
Author-X-Name-First: Jesús Gerardo
Author-X-Name-Last: Delgado-Rivas
Author-Name: Rafael Ravina-Ripoll
Author-X-Name-First: Rafael
Author-X-Name-Last: Ravina-Ripoll
Author-Name: Esthela Galván-Vela
Author-X-Name-First: Esthela
Author-X-Name-Last: Galván-Vela
Title: Qualitative approach to determine competitiveness factors in craft breweries: evidence from Mexico
Abstract:
The craft beer industry is part of a sector that has experienced gradual growth in Mexico in recent years, thanks to the refinement of grape cultivation techniques and wine production. 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, which involves identifying response patterns based on the frequency of mentions of an idea received during the interviews, in order to identify 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.
Journal: Int. J. of Management and Decision Making
Pages: 188-209
Issue: 2
Volume: 23
Year: 2024
Keywords: competitiveness; craft breweries; beer; qualitative approach; grounded theory; Mexico.
File-URL: http://www.inderscience.com/link.php?id=137013
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:2:p:188-209

Template-Type: ReDIF-Article 1.0
Author-Name: John Lyle
Author-X-Name-First: John
Author-X-Name-Last: Lyle
Title: Appointed on responsibility, sacked on accountability: understanding involuntary termination in football management. What can we learn from coaching studies?
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.
Journal: Int. J. of Management and Decision Making
Pages: 210-227
Issue: 2
Volume: 23
Year: 2024
Keywords: professional soccer; organisational decision making; sport coaching; expertise; football manager; goal threat; compensation culture; involuntary termination.
File-URL: http://www.inderscience.com/link.php?id=137014
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:2:p:210-227

Template-Type: ReDIF-Article 1.0
Author-Name: Woldson Leonne
Author-X-Name-First: Woldson
Author-X-Name-Last: Leonne
Author-Name: Marcos Seruffo
Author-X-Name-First: Marcos
Author-X-Name-Last: Seruffo
Author-Name: Antonio Silveira
Author-X-Name-First: Antonio
Author-X-Name-Last: Silveira
Title: Proposal of a multi-criteria decision-making model for the implementation of a supervisory system for Industry 4.0
Abstract:
The fourth industrial revolution represents greater interconnection of systems and process automation. Acquiring, transforming, storing and visualising the variables of an industrial plant to act assertively has become increasingly necessary. Therefore, this article seeks to answer how the best resources for developing a supervisory system can be defined. To this end, a survey of the entire choice of technologies was carried out, identifying a better set of technologies and applying a multi-criteria decision method to choose these technologies. The results of the application showed promise using a Python programming language, Django framework, non-relational database and programmable logic controller with MQTT (queue telemetry transport). Therefore, multi-criteria decision techniques can be applied to make better choices in the development of a supervisory system, ensuring scalability and assertiveness.
Journal: Int. J. of Management and Decision Making
Pages: 228-251
Issue: 2
Volume: 23
Year: 2024
Keywords: digital transformation; analytic hierarchy process; AHP; SCADA; supervisory system; multi-criteria decision making.
File-URL: http://www.inderscience.com/link.php?id=137015
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:2:p:228-251

Template-Type: ReDIF-Article 1.0
Author-Name: Javad Shahreki
Author-X-Name-First: Javad
Author-X-Name-Last: Shahreki
Title: High-performance work systems and HR efficiency: the mediating role of HRIS potentialities
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 can 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 services 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.
Journal: Int. J. of Management and Decision Making
Pages: 290-310
Issue: 3
Volume: 23
Year: 2024
Keywords: HR efficiency; HRIS potentialities; HPWS potentialities; human resource information systems.
File-URL: http://www.inderscience.com/link.php?id=138313
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:3:p:290-310

Template-Type: ReDIF-Article 1.0
Author-Name: Detcharat Sumrit
Author-X-Name-First: Detcharat
Author-X-Name-Last: Sumrit
Author-Name: Jirawat Keeratibhubordee
Author-X-Name-First: Jirawat
Author-X-Name-Last: Keeratibhubordee
Title: A quantitative risk assessment framework for reverse logistics of plastic packaging wastes via a multi-stage intuitionistic fuzzy information: a case study of plastic recycling industry in Thailand
Abstract:
This study proposes a failure mode effect analysis (FMEA) framework to assess the RL risks of plastic packaging wastes by using a multi-stage intuitionistic fuzzy. Firstly, the 11 failure modes of RL are identified through extensive literature review and validated by industrial experts. Next, the subjective and objective weighting of FMEA risk criteria are computed using decision-making trial and evaluation laboratory (DEMATEL) and entropy approaches, respectively. Subsequently, the subjective and objective weightings are used to obtain the combination weighing of FM risk criteria. Next, the 11 failure modes are ranked using combinative distance-based assessment (CODAS). Lastly, the sensitivity analysis is performed to validate the reliability and robustness of the proposed framework. The plastic packaging recycling industry in Thailand is used as a case study. The findings of this study provide useful insights for academics and practitioners to make risk assessment decisions in the reverse logistics system.
Journal: Int. J. of Management and Decision Making
Pages: 665-700
Issue: 6
Volume: 23
Year: 2024
Keywords: plastic packaging wastes; failure mode effect analysis; FMEA; DEMATEL; entropy; combinative distance-based assessment; CODAS.
File-URL: http://www.inderscience.com/link.php?id=141897
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:6:p:665-700

Template-Type: ReDIF-Article 1.0
Author-Name: Jing Kai Teng
Author-X-Name-First: Jing Kai
Author-X-Name-Last: Teng
Author-Name: Ali Vafaei-Zadeh
Author-X-Name-First: Ali
Author-X-Name-Last: Vafaei-Zadeh
Author-Name: Syafrizal Syafrizal
Author-X-Name-First: Syafrizal
Author-X-Name-Last: Syafrizal
Author-Name: Karpal Singh Dara Singh
Author-X-Name-First: Karpal Singh Dara
Author-X-Name-Last: Singh
Author-Name: Razib Chandra Chanda
Author-X-Name-First: Razib Chandra
Author-X-Name-Last: Chanda
Title: Modelling telemedicine adoption intention during COVID-19 pandemic: an extended unified theory of acceptance and use of technology
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.
Journal: Int. J. of Management and Decision Making
Pages: 337-358
Issue: 3
Volume: 23
Year: 2024
Keywords: telemedicine adoption; performance expectancy; perceived credibility; perceived risk; financial cost; UTAUT.
File-URL: http://www.inderscience.com/link.php?id=138316
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:3:p:337-358

Template-Type: ReDIF-Article 1.0
Author-Name: Bárbara Zandomenico Perito
Author-X-Name-First: Bárbara Zandomenico
Author-X-Name-Last: Perito
Author-Name: Rosalia Aldraci Barbosa Lavarda
Author-X-Name-First: Rosalia Aldraci Barbosa
Author-X-Name-Last: Lavarda
Author-Name: Christiane Bellucci
Author-X-Name-First: Christiane
Author-X-Name-Last: Bellucci
Title: Sociomateriality and open strategising in an organisational structural change context
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.
Journal: Int. J. of Management and Decision Making
Pages: 265-289
Issue: 3
Volume: 23
Year: 2024
Keywords: sociomateriality; open strategising; strategy as social practice; organisational change; organisational context; case study.
File-URL: http://www.inderscience.com/link.php?id=138318
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:3:p:265-289

Template-Type: ReDIF-Article 1.0
Author-Name: Foued Saâdaoui
Author-X-Name-First: Foued
Author-X-Name-Last: Saâdaoui
Author-Name: Monjia Khalfi
Author-X-Name-First: Monjia
Author-X-Name-Last: Khalfi
Author-Name: Rim Ben Elouefi
Author-X-Name-First: Rim Ben
Author-X-Name-Last: Elouefi
Title: Measuring Islamic banking efficiency using data envelopment and regression analysis
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.
Journal: Int. J. of Management and Decision Making
Pages: 311-336
Issue: 3
Volume: 23
Year: 2024
Keywords: data envelopment analysis; DEA; regression analysis; Islamic banks efficiency; subprime crisis.
File-URL: http://www.inderscience.com/link.php?id=138320
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:3:p:311-336

Template-Type: ReDIF-Article 1.0
Author-Name: Ranjit Roy Ghatak
Author-X-Name-First: Ranjit Roy
Author-X-Name-Last: Ghatak
Title: An integrated decision-making framework for omni-channel retailing logistics capability assessment and improvement
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 and 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.
Journal: Int. J. of Management and Decision Making
Pages: 359-394
Issue: 3
Volume: 23
Year: 2024
Keywords: omni-channel; retailing; logistics capability; evaluation; fuzzy; multi-criteria decision making; MCDM; DEMATEL; network relationship map; NRM; DEMATEL-based ANP; DANP.
File-URL: http://www.inderscience.com/link.php?id=138323
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:3:p:359-394

Template-Type: ReDIF-Article 1.0
Author-Name: Vahid Javidroozi
Author-X-Name-First: Vahid
Author-X-Name-Last: Javidroozi
Author-Name: Chris Maguire
Author-X-Name-First: Chris
Author-X-Name-Last: Maguire
Author-Name: Gerald Feldman
Author-X-Name-First: Gerald
Author-X-Name-Last: Feldman
Author-Name: Nassir Ibrahim
Author-X-Name-First: Nassir
Author-X-Name-Last: Ibrahim
Title: Facilitating organisational decision-making process through LEGO® SERIOUS PLAY® method
Abstract:
Previous research has offered several processes/frameworks for facilitating/improving the organisational decision-making process (ODMP). However, limited research has practically identified a method to facilitate all decision makers' participation, realise their views/ideas, improve their communications, and maximise the chance of making the organisation's most effective and implementable decisions. LEGO® SERIOUS PLAY® (LSP) as a creative methodology has been utilised in organisations to facilitate discussions/meetings/workshops. However, no studies have been conducted on applying LSP to improve ODMP. This study explains the use of LSP to facilitate and enhance this process by developing a conceptual framework and offers a novel ODMP. It adopts action research, including interviews, a case study and a focus group and facilitates a workshop to observe and validate the effectiveness of the proposed process. The research findings suggest that the proposed approach fosters a more visual, creative, interactive and collaborative experience, increasing all-around participation during the ODMP.
Journal: Int. J. of Management and Decision Making
Pages: 774-800
Issue: 6
Volume: 23
Year: 2024
Keywords: Lego Serious Play; organisational decision-making process; ODMP; decision making; decision process; engagement; stakeholders; gamification; action research; workshop participants.
File-URL: http://www.inderscience.com/link.php?id=141912
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:6:p:774-800

Template-Type: ReDIF-Article 1.0
Author-Name: Rajwinder Kaur
Author-X-Name-First: Rajwinder
Author-X-Name-Last: Kaur
Author-Name: Gagandeep Kaur
Author-X-Name-First: Gagandeep
Author-X-Name-Last: Kaur
Author-Name: Rasna Pathak
Author-X-Name-First: Rasna
Author-X-Name-Last: Pathak
Title: Managerial leadership and work-life balance to curtail turnover intentions: does employee happiness play any mediating role?
Abstract:
This study inspects the effect of managerial leadership, work-life balance (WLB) and employee happiness on the turnover intentions of academics in private universities. It further investigates the mediating role of employee happiness on the stated relationships. Data for the analysis is gathered from 400 academics working in private universities in Punjab through a self-administered survey. Utilising the Smart PLS 3.3.9 package, the data is statistically analysed. The analysis discovered that managerial leadership and WLB have a negative impact on the turnover intentions of academics. Moreover, the study exposed that managerial leadership and WLB have a positive impact on employee happiness. Similarly, employee happiness partially mediates the outlined relationships. Besides that, employee happiness has a adverse impact on turnover intentions. Consequently, this study suggests implementing several effective managerial leadership and WLB practices in private universities since it may not only improve happiness among academics but also reduce turnover intentions.
Journal: Int. J. of Management and Decision Making
Pages: 751-773
Issue: 6
Volume: 23
Year: 2024
Keywords: education industry; leadership; intentions to leave; mediating effect; workplace happiness; work-family conflicts.
File-URL: http://www.inderscience.com/link.php?id=141913
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:6:p:751-773

Template-Type: ReDIF-Article 1.0
Author-Name: Detcharat Sumrit
Author-X-Name-First: Detcharat
Author-X-Name-Last: Sumrit
Author-Name: Kamphon Pingsusaen
Author-X-Name-First: Kamphon
Author-X-Name-Last: Pingsusaen
Title: A decision-support framework for evaluating supplier performance in the trial production stage of new car model development: a hybrid multi-criteria decision-making approach
Abstract:
This study proposes a decision support framework using a hybrid multi-criteria decision making (MCDM) approach for evaluating supplier performance in the 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.
Journal: Int. J. of Management and Decision Making
Pages: 1-32
Issue: 1
Volume: 23
Year: 2024
Keywords: multi-criteria decision making; MCDM; CRITIC; consistent fuzzy preference relation; CFPR; VIKOR; supplier performance.
File-URL: http://www.inderscience.com/link.php?id=135282
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:1:p:1-32

Template-Type: ReDIF-Article 1.0
Author-Name: André de Jesus Araújo Ramos
Author-X-Name-First: André de Jesus Araújo
Author-X-Name-Last: Ramos
Author-Name: Marcos César da Rocha Seruffo
Author-X-Name-First: Marcos César da Rocha
Author-X-Name-Last: Seruffo
Author-Name: Roberto Célio Limão de Oliveira
Author-X-Name-First: Roberto Célio Limão de
Author-X-Name-Last: Oliveira
Title: TOPSIS method applied to the choice of the ideal object detection algorithm for an educational mobile application
Abstract:
This paper performs a literature review of the main methods of detection and classification of objects in real time, extracting the main characteristics that may influence their performance in smartphones. The main objective is, through the TOPSIS method, to choose the most suitable algorithm to later apply it in the task of detecting geometric shapes in streaming, from devices itself, efficiently, considering the limitations of such apparatus. This investigation contributes to making the best decision and, in subsequent works, it is intended to experimentally attest to the efficiency of such a choice in this objective. The adopted multi-criteria method indicated the YOLOv3 algorithm as the most suitable for this purpose and placed the faster-RCNN as the least ideal solution. This work brings a useful contribution to academia, as it presents a well-founded suggestion on how to popularise the use of this intelligence to object detection and classification in portable devices.
Journal: Int. J. of Management and Decision Making
Pages: 252-264
Issue: 2
Volume: 23
Year: 2024
Keywords: multi-criteria; object detection algorithm; smartphone; TOPSIS; education.
File-URL: http://www.inderscience.com/link.php?id=137075
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:2:p:252-264

Template-Type: ReDIF-Article 1.0
Author-Name: Todd Drennan
Author-X-Name-First: Todd
Author-X-Name-Last: Drennan
Author-Name: Cecilia Lindh
Author-X-Name-First: Cecilia
Author-X-Name-Last: Lindh
Title: Managing marketing in the context of international online purchasing
Abstract:
As e-commerce continues to expand cross-borders, marketing endeavours must adapt to the diverse consumer preferences. This study postulates that online purchasing, studied from a marketing point of view, and taking the fact that the internet makes the online market accessible cross-borders, would yield interesting managerial implications. To investigate this, we analyse an international dataset comprising 932 consumers from 65 countries, through the lens of established marketing concepts. The result shows that buying takes place on the internet and in a potentially very international setting. This study of marketing constructs (established and newer) in a cross-border online context shows significant behavioural characteristics relevant to decisions taken by firms on online internationalisation activities.
Journal: Int. J. of Management and Decision Making
Pages: 727-750
Issue: 6
Volume: 23
Year: 2024
Keywords: internet; e-commerce management; purchase intention; online purchasing.
File-URL: http://www.inderscience.com/link.php?id=141944
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:6:p:727-750

Template-Type: ReDIF-Article 1.0
Author-Name: Ahmed El Maalmi
Author-X-Name-First: Ahmed El
Author-X-Name-Last: Maalmi
Author-Name: Kaoutar Jenoui
Author-X-Name-First: Kaoutar
Author-X-Name-Last: Jenoui
Author-Name: Laila El Abbadi
Author-X-Name-First: Laila El
Author-X-Name-Last: Abbadi
Title: A multi-objective decision-making system to increase supplier driven innovation using Python
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.
Journal: Int. J. of Management and Decision Making
Pages: 395-414
Issue: 4
Volume: 23
Year: 2024
Keywords: decision support systems; multiple objective programming; innovation; suppliers' selection; supply chain management; python programming; cost optimisation; delivery optimisation.
File-URL: http://www.inderscience.com/link.php?id=139385
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:4:p:395-414

Template-Type: ReDIF-Article 1.0
Author-Name: Jiayan Zheng
Author-X-Name-First: Jiayan
Author-X-Name-Last: Zheng
Author-Name: You Ouyang
Author-X-Name-First: You
Author-X-Name-Last: Ouyang
Author-Name: Lixu Li
Author-X-Name-First: Lixu
Author-X-Name-Last: Li
Author-Name: Fei Ye
Author-X-Name-First: Fei
Author-X-Name-Last: Ye
Title: A hierarchical structure model for blockchain technology adoption
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 address 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, followed 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.
Journal: Int. J. of Management and Decision Making
Pages: 33-57
Issue: 1
Volume: 23
Year: 2024
Keywords: blockchain; technology-organisation-environment model; diffusion of innovation theory; interpretive structural modelling; ISM.
File-URL: http://www.inderscience.com/link.php?id=135290
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:1:p:33-57

Template-Type: ReDIF-Article 1.0
Author-Name: Ankur Saini
Author-X-Name-First: Ankur
Author-X-Name-Last: Saini
Author-Name: Anupama Rajesh
Author-X-Name-First: Anupama
Author-X-Name-Last: Rajesh
Title: Optimising performance by fusion of business intelligence and marketing mix in decision making process
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.
Journal: Int. J. of Management and Decision Making
Pages: 415-437
Issue: 4
Volume: 23
Year: 2024
Keywords: business intelligence; marketing mix; data analytics; decision making process; marketing.
File-URL: http://www.inderscience.com/link.php?id=139386
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:4:p:415-437

Template-Type: ReDIF-Article 1.0
Author-Name: Deepti Patnaik
Author-X-Name-First: Deepti
Author-X-Name-Last: Patnaik
Author-Name: N.V. Jagannadha Rao
Author-X-Name-First: N.V. Jagannadha
Author-X-Name-Last: Rao
Author-Name: Brajabandhu Padhiari
Author-X-Name-First: Brajabandhu
Author-X-Name-Last: Padhiari
Author-Name: Srikanta Patnaik
Author-X-Name-First: Srikanta
Author-X-Name-Last: Patnaik
Title: Optimised hybrid CNN-LSTM model for stock price prediction
Abstract:
This article emphasises the precise forecasting of stock prices using a hybrid deep learning model that is a convolutional neural network - long short-term memory network and the parameters are optimised by enhanced grey wolf optimiser (GWO). With the availability of huge data in the present scenario, deep learning models outperform better than all other models. Again, to avoid the slow convergence rate and stagnation of local optima, an enhanced GWO algorithm is used. Stock prices of more than 12 years of various challenging stock exchanges such as: Standard & Poor 500, NIFTY 50, Nikkei 225, Dow Jones are used here for analysis purposes. Performance parameters used are root mean square error, mean absolute percentage error and mean absolute error. The proposed hybrid model is also compared with state-of-art models and it is found that this proposed model performs better than the existing models.
Journal: Int. J. of Management and Decision Making
Pages: 438-460
Issue: 4
Volume: 23
Year: 2024
Keywords: forecasting; convolutional neural network; CNN; long short-term memory; LSTM; hybrid model; evolutionary computation; enhanced grey wolf optimisation; GWO; root mean square error; RMSE; mean absolute percentage error; MAPE; mean absolute error; MAE.
File-URL: http://www.inderscience.com/link.php?id=139387
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:4:p:438-460

Template-Type: ReDIF-Article 1.0
Author-Name: Deusdedith Pastory Maganga
Author-X-Name-First: Deusdedith Pastory
Author-X-Name-Last: Maganga
Author-Name: Ismail W.R. Taifa
Author-X-Name-First: Ismail W.R.
Author-X-Name-Last: Taifa
Title: Determining the maturity level for the selected manufacturing industries through Industry 4.0 perspectives
Abstract:
Industry 4.0 (I4.0) is an emerging revolution encompassing various novel technologies with the potential for business and organisation excellence. This study thus determined the I4.0 maturity level of the manufacturing industries in Tanzania. Quantitative and qualitative methods were employed: such methods included observation, questionnaires, interviews, and document review to garner respondents' viewpoints to establish the maturity level. This study considered the purposive or expert judgement approach as a sampling approach. The collected data from 15 Tanzanian manufacturing factories were critically analysed using Minitab version 20.3 and MAXQADA 2020 software. The study revealed that Tanzania's I4.0 adoption level is medium - a level of 3.0 out of 5.0. Most Tanzanian manufacturing industries also employ Quality 3.0 to manage the quality of their operations and products, comprising total quality management, ISO standards, and quality management systems.
Journal: Int. J. of Management and Decision Making
Pages: 480-504
Issue: 4
Volume: 23
Year: 2024
Keywords: Industry 3.0; Quality 4.0; Industry 4.0; maturity models; maturity level; maturity dimensions; fourth industrial revolution; quality management system; QMS; Tanzanian manufacturing industries; Tanzania.
File-URL: http://www.inderscience.com/link.php?id=139388
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:4:p:480-504

Template-Type: ReDIF-Article 1.0
Author-Name: José Santos
Author-X-Name-First: José
Author-X-Name-Last: Santos
Author-Name: Leandro Pereira
Author-X-Name-First: Leandro
Author-X-Name-Last: Pereira
Title: Digital business case: scientific contributions for a digital framework from benefits realisation management
Abstract:
Nowadays, the pandemic situation has put several businesses in constant uncertainty, with additional concerns for professionals who aim to initiate or evaluate a project endeavour in the 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 to elaborate on the previous business case with the business case tool and apply 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.
Journal: Int. J. of Management and Decision Making
Pages: 77-103
Issue: 1
Volume: 23
Year: 2024
Keywords: business case; digital transformation; project evaluation; scientific management.
File-URL: http://www.inderscience.com/link.php?id=135293
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:1:p:77-103

Template-Type: ReDIF-Article 1.0
Author-Name: Ahmad Hariri
Author-X-Name-First: Ahmad
Author-X-Name-Last: Hariri
Author-Name: José Pedro Teixeira Domingues
Author-X-Name-First: José Pedro Teixeira
Author-X-Name-Last: Domingues
Author-Name: Paulo Sampaio
Author-X-Name-First: Paulo
Author-X-Name-Last: Sampaio
Title: Applying SWARA approach and refined Kano model to classify and rank customer requirements, case study: automotive industry in Portugal
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 of CRs is 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.
Journal: Int. J. of Management and Decision Making
Pages: 104-135
Issue: 1
Volume: 23
Year: 2024
Keywords: customer requirements; refined Kano model; stepwise weight assessment ratio analysis; SWARA; automotive industry; Portugal.
File-URL: http://www.inderscience.com/link.php?id=135294
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:1:p:104-135

Template-Type: ReDIF-Article 1.0
Author-Name: Leonardo Ensslin
Author-X-Name-First: Leonardo
Author-X-Name-Last: Ensslin
Author-Name: Sandra Rolim Ensslin
Author-X-Name-First: Sandra Rolim
Author-X-Name-Last: Ensslin
Author-Name: Ademar Dutra
Author-X-Name-First: Ademar
Author-X-Name-Last: Dutra
Author-Name: Hemerson José Garcia
Author-X-Name-First: Hemerson José
Author-X-Name-Last: Garcia
Author-Name: André Andrade Longaray
Author-X-Name-First: André Andrade
Author-X-Name-Last: Longaray
Title: Using MCDA-C to model risks in the county management: a Brazilian case
Abstract:
This study's purpose is to create a model that assists with risk management in county management units under the responsibility of a Brazilian State's Audit Office. This exploratory case study utilises a mixture of qualitative and quantitative methods. Unstructured interviews provided the primary data. The intervention instrument was the multi-criteria decision aiding constructivist (MCDA-C) methodology. The constructivist process of building the model had a pedagogical function; it created an environment for debate, expanding knowledge. It standardised the understanding of the risk factors and their scales in order to measure degrees of risk severity. Auditors can use this model as an instrument to monitor the risk levels of factors considered crucial. The model acts proactively by providing the monitored units with knowledge of the aspects that the TCE/SC auditors consider essential for risk management and provides a process for generating actions for improvement.
Journal: Int. J. of Management and Decision Making
Pages: 461-479
Issue: 4
Volume: 23
Year: 2024
Keywords: performance evaluation; risk management; multi-criteria; constructivist; decision-making.
File-URL: http://www.inderscience.com/link.php?id=139390
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:4:p:461-479

Template-Type: ReDIF-Article 1.0
Author-Name: Angie Lee
Author-X-Name-First: Angie
Author-X-Name-Last: Lee
Author-Name: Amy Wong
Author-X-Name-First: Amy
Author-X-Name-Last: Wong
Title: Examining the contextual and individual factors that influence employees' work engagement and taking charge behaviours
Abstract:
Increasingly, engaged employees who demonstrate proactive behaviours such as taking charge are highly valued in today's workplace. Due to the discretionary and non-compelling nature of taking charge behaviours, organisations must understand the motivational factors that drive these desired behaviours at the workplace. Drawing on self-reported data from 161 respondents, this study examines the contextual and individual factors that influence work engagement and taking charge behaviours among employees. The findings show that work engagement is associated with grit, growth mindset, and organisational learning culture while taking charge is associated with curiosity and grit. This study contributes to the current literature by clarifying the motivational factors behind being engaged at work and taking charge behaviours. Managers can leverage the key findings to drive positive changes at the workplace, which can further boost organisational work productivity and performance.
Journal: Int. J. of Management and Decision Making
Pages: 701-726
Issue: 6
Volume: 23
Year: 2024
Keywords: taking charge; work engagement; organisational learning culture; grit; curiosity; growth mindset.
File-URL: http://www.inderscience.com/link.php?id=141955
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:6:p:701-726

Template-Type: ReDIF-Article 1.0
Author-Name: Malik Haddad
Author-X-Name-First: Malik
Author-X-Name-Last: Haddad
Author-Name: David A. Sanders
Author-X-Name-First: David A.
Author-X-Name-Last: Sanders
Title: A hybrid approach to evaluate employee performance using MCDA and artificial neural networks
Abstract:
A new hybrid approach for employee performance evaluation based on multiple criteria decision analysis (MCDA) and artificial neural network (ANN) is presented. This is the first time this type of ANNs has been used for this application. A deep ANN is created. A MCDA method used randomly generated sets for training and testing the ANN. The network provided 93.63% training accuracy and 91.91% testing accuracy when tested against the training and testing sets respectively. The new approach could be transformed into a generic employee evaluation tool suitable to accommodate any number of employees and evaluation criteria using transfer-learning. A real-life employee evaluation problem is used as an example. Six employees and six evaluation criteria are considered. The new approach successfully identified the employee most eligible for promotion and ranked the other employees according to their performance.
Journal: Int. J. of Management and Decision Making
Pages: 58-76
Issue: 1
Volume: 23
Year: 2024
Keywords: artificial neural networks; employee evaluation; employee performance; MCDA; transfer-learning.
File-URL: http://www.inderscience.com/link.php?id=135301
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:1:p:58-76

Template-Type: ReDIF-Article 1.0
Author-Name: Araceli Galiano-Coronil
Author-X-Name-First: Araceli
Author-X-Name-Last: Galiano-Coronil
Author-Name: Rafael Ravina-Ripoll
Author-X-Name-First: Rafael
Author-X-Name-Last: Ravina-Ripoll
Author-Name: Rafael Cano-Tenorio
Author-X-Name-First: Rafael
Author-X-Name-Last: Cano-Tenorio
Author-Name: Luis Bayardo Tobar-Pesantez
Author-X-Name-First: Luis Bayardo
Author-X-Name-Last: Tobar-Pesantez
Title: Exploring X as a social marketing and happiness management instrument for biodiversity
Abstract:
This paper means to explore the X profile @fbiodiversidad to compare the number of messages published by this user with the public reaction according to the themes, social marketing and emotional connotation and to check whether there are themes that better distinguish behavioural messages from others. We have used a methodology that combines data mining and content analysis techniques. We have recovered 3,158 tweets before and after the entry into force of Law 7/2021, of May 20, on climate change and energy transition. The results show that most published messages have an informative purpose and refer to projects. However, the most popular publications are related to wildlife, with a conversational meaning and a positive emotional connotation. In addition, a relationship has been found between the themes and social marketing in the messages, standing out the behavioural messages about projects and well-being.
Journal: Int. J. of Management and Decision Making
Pages: 505-528
Issue: 4
Volume: 23
Year: 2024
Keywords: biodiversity; social marketing; X; communication; happiness management.
File-URL: http://www.inderscience.com/link.php?id=139417
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:4:p:505-528

Template-Type: ReDIF-Article 1.0
Author-Name: Saeed Askary
Author-X-Name-First: Saeed
Author-X-Name-Last: Askary
Author-Name: Davood Askarany
Author-X-Name-First: Davood
Author-X-Name-Last: Askarany
Author-Name: Yusuf Joseph Ugras
Author-X-Name-First: Yusuf Joseph
Author-X-Name-Last: Ugras
Title: Accounting analytics data types and structures: an educational perspective
Abstract:
Technological changes have affected the accounting profession significantly, so the next generation of accountants in the future digital economy must develop strong analytical skills. Despite this need, no research has connected data type and structure to accounting values. This paper discusses data types and structures for big data projects in accounting analytics and what teaching techniques are suitable for accounting students. The paper further demonstrates the relationship between data type in the data lifecycle and warehouse and explains data quality issues. We provide a detailed view of the relationship between data type and structure and suggest that flipped learning can efficiently teach data structure to accounting students. We further discuss how analytical techniques can be applied more effectively by using the flipped learning method.
Journal: Int. J. of Management and Decision Making
Pages: 562-585
Issue: 5
Volume: 23
Year: 2024
Keywords: accounting analytics; accounting data type; data lifecycle; data structure; data warehouse; accounting education.
File-URL: http://www.inderscience.com/link.php?id=140724
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:5:p:562-585

Template-Type: ReDIF-Article 1.0
Author-Name: Rohit Kumar
Author-X-Name-First: Rohit
Author-X-Name-Last: Kumar
Author-Name: Manish Gupta
Author-X-Name-First: Manish
Author-X-Name-Last: Gupta
Title: The role of supply chain management's key dimensions on supply chain performance and competitive advantage
Abstract:
The concept of supply chain management has been applied to improve supply chain performance, and as a result, acquire a competitive advantage in a variety of industries throughout the last few decades. Supply chain management practice is the set of activities initiated in an organisation to effectively manage its supply chain, whereas supply chain performance shows supply chain management's overall efficiency and effectiveness. This paper conceptualises five constructs of supply chain management practice (strategic supplier partnership, business model information sharing, level of information sharing, quality of information sharing and customer relationship), and secondly validates the relationship among supply chain management practice, supply chain performance measurement, and competitive advantage using second-order structural equation modelling. Data for the study were collected from 143 small and medium-sized enterprises. Results indicate that the higher level of supply chain management practice leads to a higher supply chain performance level and ultimately gains a competitive advantage.
Journal: Int. J. of Management and Decision Making
Pages: 529-561
Issue: 5
Volume: 23
Year: 2024
Keywords: supply chain management; SCM; supply chain management practice; SCMP; supply chain performance; SCP; supply chain integration; SCI; customer-supplier relationship.
File-URL: http://www.inderscience.com/link.php?id=140726
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:5:p:529-561

Template-Type: ReDIF-Article 1.0
Author-Name: Mohammad Rostami
Author-X-Name-First: Mohammad
Author-X-Name-Last: Rostami
Author-Name: Ali Yousefzadeh
Author-X-Name-First: Ali
Author-X-Name-Last: Yousefzadeh
Title: A novel hybrid mayfly algorithm for decentralised multi-mode-multi-project scheduling problems with resource transfer and periodic service: a case study
Abstract:
One of the most neglected issues in the decentralised project scheduling problems is considering multi-mode resources which is consistent with the real problems. This paper addresses multi-mode resource-constrained decentralised multi-project scheduling problem with considering periodic services where the activities can be done by the one of the possible modes. The purpose of this problem is to minimise the total cost. First, a mixed integer linear programming model is presented. Then, with its help, a real case study is solved in which the information of two projects implemented in Iran has been used. Also, a new hybrid mayfly algorithm (MA) is developed to solve large-size instances. To evaluate the performance of this method, three other well-known methods are adapted, and the results are presented. The computational results show that HMA has an acceptable performance, especially in terms of the quality of the solutions compared to other well-known methods.
Journal: Int. J. of Management and Decision Making
Pages: 586-623
Issue: 5
Volume: 23
Year: 2024
Keywords: mayfly algorithm; heuristics; multi-mode resource constrained; decentralised projects scheduling; case study.
File-URL: http://www.inderscience.com/link.php?id=140730
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:5:p:586-623

Template-Type: ReDIF-Article 1.0
Author-Name: Yee Peng Chow
Author-X-Name-First: Yee Peng
Author-X-Name-Last: Chow
Title: Board activity and firm performance: evidence from Malaysia
Abstract:
This paper examines the relationship between the frequency of board meetings as a measure of board activity and firm performance based on a sample of the top 100 Malaysian listed firms over the period 2013-2017. This study also performs sub-sample analyses to determine whether this relationship is conditional on certain internal factors such as firm size, founder status of the CEOs and chairs and board size. The results demonstrate that more frequent board meetings exert a negative effect on firm performance. Furthermore, the sub-sample analyses reveal that the adverse impact of board meetings on firm performance is particularly significant for both large and small firms, firms led by non-founder CEOs and/or chairs and firms with large and small board sizes. Interestingly, this study also finds that the performance of firms led by founder CEOs tends to improve with more frequent board meetings.
Journal: Int. J. of Management and Decision Making
Pages: 624-646
Issue: 5
Volume: 23
Year: 2024
Keywords: board activity; board meetings; board size; firm performance; firm size; founder; Malaysia.
File-URL: http://www.inderscience.com/link.php?id=140737
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Template-Type: ReDIF-Article 1.0
Author-Name: Loris Di Nallo
Author-X-Name-First: Loris Di
Author-X-Name-Last: Nallo
Author-Name: Maria Lucetta Russotto
Author-X-Name-First: Maria Lucetta
Author-X-Name-Last: Russotto
Author-Name: Pasquale Zaccarella
Author-X-Name-First: Pasquale
Author-X-Name-Last: Zaccarella
Author-Name: Pavlo Brin
Author-X-Name-First: Pavlo
Author-X-Name-Last: Brin
Title: The impact of non-performing loans on systematic risk of banks: evidence from the European market
Abstract:
This paper investigates the impact of non-performing loan data on the perceived riskiness of banks, providing information to manage them. We used the quantitative methodology based on statistical analysis to represent the role of non-performing loans. We built our sample starting from European listed banks. We developed a regression analysis establishing the relationship between non-performing data and risk. Our results show achievements in the impact of the non-performing loans (NPLs) ratio on perceived risk, particularly on the beta factor. The positioning of non-performing loan data is directed to influence capital asset pricing model (CAPM) beta. In the European banks of the analysis, a higher value of NPL ratio brings to a higher perception of risk by the market, and this is central for the future management of NPLs.
Journal: Int. J. of Management and Decision Making
Pages: 647-664
Issue: 5
Volume: 23
Year: 2024
Keywords: banking industry; banks; non-performing loans; NPLs; beta.
File-URL: http://www.inderscience.com/link.php?id=140753
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Handle: RePEc:ids:ijmdma:v:23:y:2024:i:5:p:647-664