Template-Type: ReDIF-Article 1.0 Author-Name: Nikhat Afshan Author-X-Name-First: Nikhat Author-X-Name-Last: Afshan Author-Name: Vikram Chandramouli Rayadurgam Author-X-Name-First: Vikram Chandramouli Author-X-Name-Last: Rayadurgam Author-Name: Angappa Gunasekaran Author-X-Name-First: Angappa Author-X-Name-Last: Gunasekaran Author-Name: Girish H. Subramanian Author-X-Name-First: Girish H. Author-X-Name-Last: Subramanian Title: Exploring the data analytical capabilities of generative AI tools ChatGPT and Google Bard (Gemini): a comparative analysis of GenAI tools with excel and python Abstract: ChatGPT and Google Bard (now renamed as Google Gemini), the latest iterations of real-time generative artificial intelligence (GenAI), are being extensively used across discipline including education. There has been growing interest amongst academics to integrate GenAI into teaching to create personalised learning experience for students. Though the recent versions of GenAI have been designed to tackle complex natural language and data analytical problems, concerns have been raised regarding the reliability of the outputs generated by these GenAI tools. This paper tries to explore the data analytical capabilities of ChatGPT 4.0 and Bard and understand its suitability to teach data analytics courses. The study conducts and compares three statistical analyses viz. regression analysis, classification analysis and linear programming problem using GenAI tools (ChatGPT 4 and Google Bard) and traditional software (Python and Excel). The study discusses the nuances of using these tools effectively by students, educators, and practitioners. Journal: Int. J. of Management and Decision Making Pages: 1-20 Issue: 1 Volume: 25 Year: 2026 Keywords: ChatGPT data analytics; generative AI; Google Bard; forecasting prediction; transportation problem; systematic literature review. File-URL: http://www.inderscience.com/link.php?id=150375 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:25:y:2026:i:1:p:1-20 Template-Type: ReDIF-Article 1.0 Author-Name: Fateh Saci Author-X-Name-First: Fateh Author-X-Name-Last: Saci Title: Does the research done by the institutional investors stimulate or inhibit the management's opportunistic behaviours? Abstract: Based on the data from China A-share listed companies from 2014 to 2019, this paper examines the impact of the change of institutional investor research activities (frequency, research quality, research behaviour) on management opportunistic behaviour. Based on two types of agency costs as indicators: owner and management agency costs (AC1) and the controlling shareholder acts (AC2), the results show that institutional investor research activities have a significant stimulating effect on management opportunistic behaviour, while investors on-site visits have a more significant stimulating effect on management opportunistic behaviour, both of which have improved the first and second type of agency costs. The depth of the investigation stimulates the opportunistic behaviour of management by influencing the second type of agency costs. This paper has certain reference significance for the improvement of investor behaviour, corporate governance structure and protection of investors' interests. Journal: Int. J. of Management and Decision Making Pages: 55-81 Issue: 1 Volume: 25 Year: 2026 Keywords: management opportunistic behaviour; institutional investor research; agency cost; on-site visits; Shenzhen listed companies. File-URL: http://www.inderscience.com/link.php?id=150386 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:25:y:2026:i:1:p:55-81 Template-Type: ReDIF-Article 1.0 Author-Name: Mir Ramisha Bari Author-X-Name-First: Mir Ramisha Author-X-Name-Last: Bari Author-Name: A.I.M Johurul Islam Author-X-Name-First: A.I.M Johurul Author-X-Name-Last: Islam Author-Name: Rifath Mahmud Uday Author-X-Name-First: Rifath Mahmud Author-X-Name-Last: Uday Author-Name: Sheak Salman Author-X-Name-First: Sheak Author-X-Name-Last: Salman Title: From tradition to technology: understanding the key barriers of Agriculture 4.0 adoption in Bangladesh Abstract: The agricultural sector is crucial for the economic growth of developing countries like Bangladesh, where many rely on farming. Agriculture significantly contributes to global food security but faces challenges such as economic instability and environmental degradation. Agriculture 4.0 integrates digital technologies like the internet of things, big data analytics, artificial intelligence, and robotics, promising enhanced productivity, sustainability, and efficiency. This study explores Agriculture 4.0's potential in Bangladesh, identifies key adoption barriers, and analyses their interrelations using the single-valued neutrosophic decision-making trial and evaluation laboratory (SVN-DEMATEL) method with neutrosophic logic. It pinpoints 15 major challenges, emphasising inaccessibility to technology, high costs, and lack of management support as main obstacles. The result suggests 'Intrinsic drive of farmers, ' 'Insufficient management support, ' and 'Inaccessibility to modern technology' as the most significant barriers, with values 0.542447, 0.354056, and 0.351115. The findings call for strategic policymaking and collaboration to promote smart, sustainable agriculture and food security. Journal: Int. J. of Management and Decision Making Pages: 21-54 Issue: 1 Volume: 25 Year: 2026 Keywords: Agriculture 4.0; barriers; multi-criteria decision making; MCDM; Delphi method; Bangladesh. File-URL: http://www.inderscience.com/link.php?id=150387 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:25:y:2026:i:1:p:21-54 Template-Type: ReDIF-Article 1.0 Author-Name: Babak Soltani Largani Author-X-Name-First: Babak Soltani Author-X-Name-Last: Largani Author-Name: Mohammad Mahdi Nasiri Author-X-Name-First: Mohammad Mahdi Author-X-Name-Last: Nasiri Author-Name: Fariborz Jolai Author-X-Name-First: Fariborz Author-X-Name-Last: Jolai Title: Forecasting the completion time of construction projects using the moving average method Abstract: The importance of implementing projects 'on time and budget' has increased due to the increasing number of projects in organisations. Various models have been introduced, such as earned value management (EVM), earned schedule management (ESM), earned duration management (EDM), and earned resource management (ERM), to monitor project performance throughout the project execution phase. These models offer various metrics to evaluate project performance regarding cost, time, and resource productivity. However, using different data science methods to estimate project duration has been an interesting topic. This study presents a new model using project data obtained during the project execution phase and regression models to ensure a more accurate estimate of activities and overall project duration. The mean absolute percentage error (MAPE) metric, commonly employed in most proposed models, was used to check the accuracy. Four projects were selected according to the information required in the proposed model. The results indicated that the mean prediction error for the selected project was 6.61%, which is lower than other proposed methods. The results also showed that the proposed model provided suitable predictions for both activities and project duration. Journal: Int. J. of Management and Decision Making Pages: 82-100 Issue: 1 Volume: 25 Year: 2026 Keywords: project management; estimate project duration; construction project; moving average method; earned duration management; EDM. File-URL: http://www.inderscience.com/link.php?id=150395 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:25:y:2026:i:1:p:82-100 Template-Type: ReDIF-Article 1.0 Author-Name: Thi-Ly Nguyen Author-X-Name-First: Thi-Ly Author-X-Name-Last: Nguyen Author-Name: Chia-Nan Wang Author-X-Name-First: Chia-Nan Author-X-Name-Last: Wang Author-Name: Nhat-Luong Nhieu Author-X-Name-First: Nhat-Luong Author-X-Name-Last: Nhieu Title: A bounded rationality integrated decision-making approach for supplier selection in lean practice: a case study of Vietnam's garment industry Abstract: Lean manufacturing focuses on eliminating waste across production. In supplier selection, applying lean principles helps identify partners that minimise waste in the supply chain. This study proposes an integrated multi-criteria decision-making (MCDM) approach for supplier selection in Vietnam's garment industry. It combines stepwise weight assessment ratio analysis (SWARA) with a regret theory-based evaluation based on distance from average solution (EDAS) under spherical fuzzy conditions. The SF SWARA method determines evaluation criteria weights, while the regret-based SF EDAS ranks suppliers by proximity to the ideal solution. Findings show the hybrid approach enhances accuracy and reliability in lean supplier selection, supporting cost reduction and quality improvement. The study also offers a roadmap for practitioners and policymakers to optimise supplier evaluation, strengthen supply chain performance, and advance sustainable lean practices. Overall, it enriches decision-making methodologies within lean supply chain management and extends relevance to other industries facing similar challenges. Journal: Int. J. of Management and Decision Making Pages: 184-213 Issue: 2 Volume: 25 Year: 2026 Keywords: spherical fuzzy; stepwise weight assessment ratio analysis; SWARA; regret theory; EDAS; lean manufacturing; garment industry; Vietnam. File-URL: http://www.inderscience.com/link.php?id=152083 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:25:y:2026:i:2:p:184-213 Template-Type: ReDIF-Article 1.0 Author-Name: Runumi Das Author-X-Name-First: Runumi Author-X-Name-Last: Das Title: Analysing the impact of perceived quality on consumer purchase behaviour and decision-making from the perspective of a marketing mix Abstract: The marketing strategy mix consists of advertising tools businesses use to influence customer responses and shape service characteristics. This study investigates how marketing mix elements affect consumer purchasing decisions in retail and e-commerce. A stratified sampling method was used to select 616 respondents, divided into customers and non-customers. Data was collected through a self-administered questionnaire, focusing on hedonic factors like entertainment, mental imagery, and aesthetics, which influence consumer satisfaction, defined as the extent to which products or services meet customer expectations. Using SPSS and a 5% significance level, results showed a strong link between marketing mix and consumer behaviour, with an unstandardised coefficient of 14.576. The study also revealed that convenience, simplicity, and lower prices are primary drivers for online shopping. These findings highlight how businesses can enhance consumer satisfaction by refining marketing strategies and maintaining consistent product quality, especially in a competitive online environment. Journal: Int. J. of Management and Decision Making Pages: 129-158 Issue: 2 Volume: 25 Year: 2026 Keywords: consumer purchase behaviour; self-administered questionnaire; one-stage stratified sampling technique; decision-making; marketing mix; purchase decision. File-URL: http://www.inderscience.com/link.php?id=152084 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:25:y:2026:i:2:p:129-158 Template-Type: ReDIF-Article 1.0 Author-Name: Paola Andrea Ortiz-Rendón Author-X-Name-First: Paola Andrea Author-X-Name-Last: Ortiz-Rendón Author-Name: Jose Luis Munuera-Alemán Author-X-Name-First: Jose Luis Author-X-Name-Last: Munuera-Alemán Author-Name: Luz Alexandra Montoya Restrepo Author-X-Name-First: Luz Alexandra Montoya Author-X-Name-Last: Restrepo Title: Role of capability and professional marketing control in business results Abstract: Managers today increasingly demand proof that marketing decisions influence business results. This study explores the link between capability and professional marketing control, examining their effects on both non-financial and financial outcomes. We conducted a cross-sectional survey of 301 marketing managers and analysed the data using partial least squares structural equation modelling (PLS-SEM) via SmartPLS 4. The results reveal the mediating role of professional control in explaining how capability control influences financial outcomes. Moreover, the findings offer evidence of the positive effect of capability control on non-financial results. This work advances the understanding of marketing control across industries and its impact on business performance, with a specific emphasis on professional and capability control. Journal: Int. J. of Management and Decision Making Pages: 159-183 Issue: 2 Volume: 25 Year: 2026 Keywords: marketing capability control; marketing professional control; non-financial results; financial results. File-URL: http://www.inderscience.com/link.php?id=152085 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:25:y:2026:i:2:p:159-183 Template-Type: ReDIF-Article 1.0 Author-Name: Alessandro Francesco Sinatra Author-X-Name-First: Alessandro Francesco Author-X-Name-Last: Sinatra Author-Name: Mara Soncin Author-X-Name-First: Mara Author-X-Name-Last: Soncin Author-Name: Michela Arnaboldi Author-X-Name-First: Michela Author-X-Name-Last: Arnaboldi Title: Exploring agile working beyond the COVID-19 emergency: an empirical analysis on Italian public organisations Abstract: Agile working (AW) in the public sector accelerated significantly as an effect of the COVID-19 pandemic. This study explores the implementation and evolution of AW, utilising qualitative analyses to provide a comprehensive overview. The research design includes interviews with general directors and AW coordinators, the analysis of organisational documents, and data from an ad hoc survey monitoring the level of AW adoption in Italy during and after the COVID-19 emergency. The results highlight heterogeneity in the adoption of AW in the public sector, especially in the transition from emergency to non-emergency conditions. Insights into technological and regulatory changes and human resource management practices reveal growing commitment to work flexibility and increased digitalisation in public organisations. This study adds to our understanding of AW in public organisations during and after the pandemic, demonstrating that an organisational approach to AW can have implications on change management and organisational innovation. Journal: Int. J. of Management and Decision Making Pages: 101-128 Issue: 2 Volume: 25 Year: 2026 Keywords: agile working; remote working; teleworking; flexible working; COVID-19; public organisations; organisational choice. File-URL: http://www.inderscience.com/link.php?id=152086 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:25:y:2026:i:2:p:101-128