International Journal of Applied Management Science (28 papers in press)

Regular Issues

• Value Systems in some Recent Marketing and Organisational Literature  
  by Ivan Sciascia 
  Abstract: The purpose of this paper is to collect the measurement methods of the value system construct and the connection models between the value system and variables considered antecedent or consequent in the areas of organisational and purchasing behaviour. The results of the theoretical and empirical research analysed have allowed the description of theoretical hypotheses that propose the multidimensional character of the value system. The cognitive dimension is hypothesised to be salient in the measurement methods and in the connection models it is also possible to hypothesise the involvement of the affective and motivational dimensions in the internal and external actions of organisations. The paper collects the most important theories on the measurement of values and analyses some relevant research studies that have applied measurement techniques. The measures of values and connections can be analysed according to a descriptive model which involves the affective, cognitive, motivational and communicative dimensions.
  Keywords: Operational definitions; Measuring models; Connection models; Organizational values; Classification.
  DOI: 10.1504/IJAMS.2025.10068236
   
  
• The Impact of Implementing Artificial Intelligence System for Anti-Money Laundering: a Lebanese Bank Case Study  
  by Faleh Alshameri, Jocelyne Eid 
  Abstract: International terrorist attacks have become a perceived threat to all countries across the globe and resulted from a complex set of factors Money laundering and Terrorist financing have been described by many as lifeblood of crime and is a major threat to economic and social well-being of societies Fraud cases increasing dramatically with the expansion of modern technology and global communication, resulting in substantial losses to businesses As a result of the conflict between the different financial institutions sectors and ML, the banks have developed technologically intelligent weapons The purpose of this paper is to show the implementation impact of monitoring system that incorporates AI to detect suspicious transactions in Lebanese bank The results show that the implementation of AI monitoring lead to massive cost savings The AI system enhanced the accuracy of the analysis over large amount of data The results show that the false positive detected matches were reduced by 30%.
  Keywords: Artificial intelligence; Money Laundering; Terrorist Financing; Monitoring System,Know Your Customer.
  DOI: 10.1504/IJAMS.2025.10068260
   
  
• A Performance Boosting Transition in Predictive Modelling for Customer Acquisition  
  by Rajathi C, Rukmani Panjanathan 
  Abstract: Improving business performance requires accurate prediction and decision-making, which are informed by historical data insights such as user attention, action, and profit from the products. These insights are generated using statistical techniques that forecast business needs and analyse data to make informed business decisions. Using historical data, a predictive model is built using a statistical approach, commonly employing methods such as regression, time series and cluster analysis. Machine Learning (ML) algorithms enhance this process by automating tasks and uncovering insights. Traditional analysis methods struggle with the complex pattern and dynamic nature of the data, leading to difficulties in interpreting relationships. To address this issue, The Performance Boost Predictive Model (PB-PM) is proposed, which comprises two levels, level 1 employs Linear Regression (LR) and level 2 employs Ridge regression, Lasso regression, Random Forest (RF) regression and Extreme Gradient Boost (XGBoost) regression. The performance of the PB-PM model is evaluated using Mean Absolute Error (MAE) and R2-squared score (R2). The analysis result indicates XGBoost regression algorithm yields the highest R2 and lowest MAE for the proposed PB-PM, respectively 0.23 and 0.990.
  Keywords: Business Intelligence; Cost prediction; Lasso regression; Linear Regression; Machine Learning; Random Forest; Ridge regression; XGBoost.
  DOI: 10.1504/IJAMS.2025.10068464
   
  
• Does Sustainable Supply Chain Management Practice Drive Manufacturing Success in an Emerging Economy  
  by Ephrem Negash Shebeshe, Dhiraj Sharma 
  Abstract: Sustainability is now a strategic priority for all companies. Business functions face local, regional, and global environmental pressure to include sustainability in every decision. This includes tackling economic, social, and environmental issues to boost competitiveness. We examine how sustainable supply chain management (SSCM) affects competitive advantage (CA) and organisational performance (OP). Data from 221 Ethiopian manufacturing industries is collected and analysed. This quantitative study uses descriptive and causal methodologies. Direct surveys are given to 221 production managers and supervisors. In addition, SmartPLS 4.0 used Structural Equation Modelling to analyse data. The statistical research shows that SSCM boosts competitive advantage and organisational performance. Furthermore, statistics show that competitive advantage and organisational performance are linked. SSCM and OP are indirectly affected by competitive advantage. Results indicate SSCM implementation can boost competitiveness and OP. The study informs managers and researchers on SSCM practices and organisational success in commercial and industrial settings.
  Keywords: Sustainable Supply Chain Management; Supply Chain Management; Competitive Advantage; Organisational Performance; Manufacturing.
  DOI: 10.1504/IJAMS.2026.10068570
   
  
• An Inventory Model For The Deteriorating Item For Trapezoidal Type Demand: a Shortage Resemblance Approach  
  by Jitendra Kaushik 
  Abstract: A time and Price-dependent trapezoidal type demand function is considered in this paper. A continuous rate of demand function is considered for trapezoidal-type demand. The existing study proposed a mathematical model to find the inventorys optimal replenishment points and optimal cycle length. Furthermore, a comparison between shortage and without shortage revealed a tremendous shortage effect over profit per unit of inventory. The numerical examples, 3-D Graphs, Hessian Matrix and Mathematical Theorem proved the existence of the study. The current study assists retailers in improving their per-unit profits through the proposed model and managing unexpected risk scenarios using the sensitivity analysis approach. It provides a decision analysis framework for inventory managers based on the suggested managerial insights.
  Keywords: Inventory Model; Trapezoidal Demand; Deterioration; Shortage.
  DOI: 10.1504/IJAMS.2026.10068796
   
  
• Dynamic Capabilities and Strategic Innovation: Imperatives in an ever-changing Environment  
  by Dinko Herman Boikanyo  
  Abstract: In the fast-paced and uncertain landscape of contemporary business environments, organizations face the imperative to adapt and innovate strategically. This paper presents the Dynamic Capabilities and Strategic Innovation Integration (DCSI) Framework, a comprehensive guide aimed at synergising dynamic capabilities and purposeful strategic innovation. Rooted in foundational theories such as Teece's dynamic capabilities framework and Christensen's disruptive innovation theory, the framework delineates key concepts, including the proactive nature of dynamic capabilities and the deliberate pursuit of strategic innovation. Through cross-functional collaboration and dynamic feedback loops, the DCSI Framework offers a structured approach for organisations to embed dynamic capabilities into the fabric of strategic innovation processes. The role of adaptive leadership, cultural transformation, and precise measurement metrics are emphasized, providing practical insights for managers. Addressing implementation challenges, the framework advocates for continuous learning and improvement. The paper concludes by highlighting future research directions and the broader implications of the DCSI Framework, positioning it as a transformative guide for organizations navigating the evolving landscape with resilience and strategic foresight.
  Keywords: Dynamic capabilities; Strategic innovation; innovation; changing environment; dynamic capabilities; strategic innovation framework.
  DOI: 10.1504/IJAMS.2025.10069157
   
  
• Structural Equation Modelling of the European Excellence Model 2020: an Analytical Study in North Oil Company - Iraq  
  by Hatem Ali Abdullah, Shaymaa Dizdar 
  Abstract: The study started with a fundamental goal of using structural equation modelling to explore the relationships between the criteria of the European Foundation for Quality Management (EFQM) Excellence Model. A descriptive analytical approach was employed for this purpose. The study was conducted at North Oil Company in Iraq, with a total population of 7,405, from which a non-random sample of 332 individuals was drawn. Data collection was done through a survey. The data was analysed using the structural equation modelling and statistical programs (SMART PLS4). The results showed that the orientation criterion in the European Excellence Model affects the results criterion positively by approximately 48%, whereas when execution is consistent with the direction, the results increase increasingly, as the indirect effect reached 40%. The study is important in developing countries in demonstrating the importance of the European excellence model, specifically in production companies.
  Keywords: EFQM 2020; direction; execution; results; structural equation modeling; North Oil Company.
  DOI: 10.1504/IJAMS.2026.10069252
   
  
• Integration of Emotional Intelligence with Machine Intelligence to Enhance Internal Service Performance in the Service Industry  
  by Emily Maria K. Jose, Bijay Kushwaha, Bhagwati Prasad Chaudhary, Vibhuti Singh 
  Abstract: This research delves into examining the implications of artificial intelligence on emotional intelligence and internal service performance within the service industry of India. The focus of the study centres on the effects of service sector competencies and artificial intelligence on human emotions. Further elucidation is provided on how organisations can leverage these attributes to enhance service delivery. Data collection was carried out among service sector staff through purposive sampling methodology, utilising a standardized questionnaire with 265 participants. Findings reveal a significant impact of emotional intelligence on internal service performance, while artificial intelligence offers real-time user experiences and feedback. Moreover, emotional intelligence-equipped machines exhibit potential for diverse applications like education, healthcare, and customer service. Through the utilisation of these dimensions of artificial intelligence, the service sector stands to fortify customer relations, elevate satisfaction levels, and bolster operational efficiency.
  Keywords: Artificial Intelligence; Decision Making; Emotions; Human Intelligence; Machine Learning; Performance.
  DOI: 10.1504/IJAMS.2026.10069475
   
  
• Leveraging Deep Learning for Strategic Decision-Making in Sustainable Agriculture: Enhancing Plant Disease Detection for Optimised Supply Chain Management and Ecosystem Health  
  by Chandrakant Mallick, Anita Patra, Shreela Dash, Pradipta Mishra, Bijay Kumar Paikaray 
  Abstract: Agriculture, an essential component of our society, suffers the continuous threat of plant diseases that can potentially destroy crops and threaten the country's food security. Traditional methods of disease detection that rely on human visual inspection are often unreliable, particularly when it comes to recognizing early signs of diseases. This research proposes an innovative method that integrates image processing and deep learning techniques to transform the field of crop plant disease detection in agriculture. Our process utilises computer vision and convolutional neural network (CNN) to detect various crop plant diseases, including viral outbreaks and fungal infections, in different plant species and environmental situations. Our solution combines advanced technologies, and an exhaustive evaluation procedure to provide farmers with accurate and fast information. This enables them to reduce crop losses and improve agricultural sustainability.
  Keywords: Plant Disease Detection; Image Processing; Deep Learning; Convolutional Neural Networks; Computer Vision; Agricultural Crops.
  DOI: 10.1504/IJAMS.2026.10069528
   
  
• Customers' Technology Acceptance towards Ride-Hailing Service: Bibliometric Analysis and Thematic Analysis  
  by Le Truc Nguyen, Thu Ha Nguyen, Thuy Hoang, Chi Phan 
  Abstract: The purpose of this study is to identify major perspectives of technology acceptance towards ride-hailing services. A multi-perspective approach was used, including bibliometric analysis and thematic analysis. In addition to bibliometric analysis of prestigious papers in related context, thematic analysis is conducted to synthesise knowledge of basis literature and create main research themes. Research results state systematic literature and emphasise seven themes within research setting: Technology adoption, Ease, Risk, Trust, Benefit, Mobility and Gender. Importantly, mobility is considered as a trendy research path in the future. This study's novelty stems from its innovative use of bibliometric and thematic analysis, which enriches the existing literature on technological acceptance by exploring big data from Scopus and Web of Science databases. Furthermore, thematic mapping facilitates the identification of significant factors that influence customer acceptance of technology in ride-hailing services. As a result, the value of such research has both scholarly and executive implications.
  Keywords: Customer’s technology acceptance; ride-hailing service; bibliometric analysis; thematic analysis  .
  DOI: 10.1504/IJAMS.2025.10069529
   
  
• The Impact of Workplace Incivility on Turnover Intentions of Corporate Employees: Buffering Effects of Emotional Intelligence  
  by Madhu Verma, Priyanka Yadav 
  Abstract: This study explored the relationship between workplace incivility and emotional intelligence with turnover intentions. It aimed to investigate how emotional intelligence moderates the impact of workplace incivility on turnover intentions among employees of manufacturing companies. Employing a quantitative research design, 350 questionnaires were distributed among manufacturing companies staff at NCR. Statistical analyses, including reliability tests, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM), were conducted. Workplace incivility was identified as positively influencing turnover intentions among corporate staff at NCR and emotional intelligence negatively impacted the Turnover intentions of the employees. The study found that emotional intelligence functioned as a moderator in the relationship between workplace incivility and turnover intentions. The studys findings are limited by restricting generalisability beyond the NCR corporate context and the study is cross-sectional. There have not been studies conducted in the manufacturing corporate sector, while which is the most crucial organisation where workplace incivility occurs. This research provides insights into the interplay of workplace incivility, emotional intelligence and turnover intentions, offering a unique perspective on the moderating role of emotional intelligence, encouraging further exploration and discourse within the organisational behaviour field.
  Keywords: Workplace incivility; emotional intelligence; turnover intentions; corporate staff; quantitative research.
  DOI: 10.1504/IJAMS.2026.10069841
   
  
• Business of Traditions: the Craft Economy of Wicker Willow in the Himalayan Plains  
  by Mudasir Rashid, F.A. Shaheen, Abid Sultan, M.M. Kachroo 
  Abstract: The wicker willow craft industry in the Himalayan Plains of India amalgamates cultural legacy, artisanal expertise, and commerce. This study analyzed its production, distribution, and commercialization, highlighting its socio-economic significance in supporting livelihoods and conserving traditions. The analysis of the supply chain from raw material cultivation to final products, substantiates its economic viability. Essential financial parameters comprise a Payback Period of 3.89 years, a Net Present Value of ?14,555, an Internal Rate of Return of 8.62%, and a Benefit-Cost Ratio of 1.65. Profitability metrics, including a Net Profit Margin of 61.28%, Gross Profit Margin of 64.17%, and Operating Margin of 62.72%, underscore financial robustness. A three-tier inclusive plan is proposed to modernize the sector while maintaining traditions, expanding market access, streamlining supply chains, and assisting craftsmen for sustainable growth.
  Keywords: Craft Industry; Artisanal Expertise; Cultural Legacy; Financial Robustness; Supply Chain; Operating Margin.
  DOI: 10.1504/IJAMS.2026.10069842
   
  
• Exploring the Impact of Organisational Work Factors on Turnover Intention Due to Job Stress: a Mixed-Methods Study in Vietnamese Public Hospitals  
  by Manh Hoang Nguyen, Xuan-Nhi Nguyen, Ngoc-Huyen Vo 
  Abstract: In Vietnam, a noticeable trend has emerged where healthcare personnel are resigning or transitioning from public to private hospitals, underscoring the need to proactively manage and alleviate job stress and turnover. Therefore, this study aimed to construct a comprehensive framework that explores the organisational work factors influencing turnover intentions through job stress in the underexplored research context of the Vietnamese public healthcare sector. Using a sequential exploratory mixed-methods approach, the research began with ten in-depth interviews and a focus group discussion to identify critical organisational work factors potentially affecting job stress and turnover. This informed the development of a structural model, which was then validated through a survey of 308 medical staff across various hospitals. The findings suggest that work-family conflict, workload, and working conditions are significant predictors of turnover intentions linked to job stress.
  Keywords: working conditions; working relationships; work-family conflict; workload; career development; relative income; job stress; turnover intention; healthcare; Vietnam.
  DOI: 10.1504/IJAMS.2026.10070262
   
  
• Acceptance of Climate Smart Agricultural Practices: Discernment through Theory of Planned Behaviour  
  by Sheeja Krishnakumar 
  Abstract: This study examined the acceptance of climate-smart agricultural practices through the Theory of Planned Behaviour in providing insights into the factors influencing farmers' intentions and behaviours related to sustainable and climate-resilient farming. Data was collected from three Karnataka districts with a total sample size 492. The statistical tools include multiple linear regression, mediation, and discriminant analysis. There is a significant influence of attitude, awareness, perceived behavioural control, resource limitation, and subjective norms on behavioural intention to accept CSA practices. The mediating role of awareness and resource limitation reveals a partial mediation. The discriminant analysis reveals that the predictor variable, resource limitation, discriminates the group into two: perceived behaviour to accept and not to accept CSA practices. Developing strategies that make CSA practices visibly successful within the community creates intense social pressure on farmers to accept them. Also, encouraging farmers to share resources to accept CSA practices in the Indian context.
  Keywords: climate smart agricultural practices; theory of planned behaviour; acceptance; farmers; awareness.
  DOI: 10.1504/IJAMS.2026.10070350
   
  
• Relationship between eWOM Usefulness, eWOM Adoption, and Buying Intention on Social Networking Sites  
  by Phuong Viet Le-Hoang  
  Abstract: The purpose of this research is to explore, measure, and analyze the relationship between information quality, perceived credibility, information needs, subjective norms, electronic word of mouth (eWOM) usefulness, eWOM adoption, and purchase intention via social networking sites. The method is a Cronbach alpha reliability test, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM). To conduct the research, the author distributed 512 surveyed questionnaires, and the author collected 503 valid respondents. The results showed that eWOM plays a mediating role when customers purchase products and services via social networking sites. Based on that, the research recommends the necessary solutions to improve the buying intention and encourage customers to do eWOM.
  Keywords: Information quality; perceived credibility; information needs; subjective norms; eWOM usefulness; eWOM adoption; purchase intention.
  DOI: 10.1504/IJAMS.2026.10070541
   
  
• Balancing Professional and Personal Life: Challenges and Strategies Among Female Physicians in the Middle East  
  by Safinaz Abourokbah, Abdulrahman S. Basahal 
  Abstract: The purpose of this study was to understand the work-life challenges that Saudi female physician experience, and which strategies they apply to deal with them. The paper applied a qualitative approach with phenomenological research design. A combination of purposive, convenience, and snowball sampling were used to recruit 16 Saudi female physicians who are married and have at least one child. Participants were interviewed by means of a semi-structured interview protocol, and interview transcripts were analyzed using an interpretative phenomenology analysis (IPA) technique. Utilizing IPA, the study unveiled seven distinct themes, each delving deeply into the challenges confronted by Saudi female doctors concerning specific aspects of their lives and how each of these are navigated. The identified life demands or themes encompassed (a) work, (b) childcare, (c) family time, (d) household, (e) marriage, (f) social life, and (g) self-care. The results may help organizations and society at whole to develop measures that can better assist Saudi female physicians with developing a healthy work-life balance.
  Keywords: Female Physicians; Management; Middle East; Saudi; Work-Life Balance; Working Mothers.
  DOI: 10.1504/IJAMS.2026.10070542
   
  
• Assessing Brand Personality and Leadership's Role in Effective Brand Extensions  
  by Noopur Bhargava, Renu Pareek 
  Abstract: A brand consists of both practical and emotional characteristics. Consequently, this investigation proposes to explore how brand personality (BP) and Consumer-Perceived Brand Leadership Impact Brand Extension towards FMCG products in Jaipur city. Data from 342 adult consumers of Fast-Moving Consumer Goods (FMCG) products of Maggi in Jaipur City were analyzed using factor analysis, and SEM. When analysing predictive research frameworks and models at the beginning of theoretical development in this work. To confirm that the necessary good fit levels were satisfied, the models were examined using suitable tests. The AVE was regarded as greater than 0.5 when testing convergent validity, suggesting adequate convergent validity. In conclusion, qualitative research techniques like detailed interviews or group discussions can enhance quantitative methods by offering a more reflective understanding of consumers' thoughts, reasons, and choices regarding brand expansions. The purpose of this study is to investigate how consumer perceptions of brand leadership and BP affect brand extension for FMCG items in Jaipur.
  Keywords: Brand personality; Brand extension; Consumer-perceived brand leadership; FMCG product; Customers/Consumers.
  DOI: 10.1504/IJAMS.2026.10071219
   
  
• Generational Changes in Management Boards and Boards of Directors of Family Companies  
  by Marek Pawlak 
  Abstract: A study was carried out into the composition of management boards and supervisory boards of family joint-stock companies registered in Poland between 2005 and 2020. The results indicate the existence of distinct generations of children, parents, and grandparents. Over time, individual groups become older, and their numbers fluctuate. On the basis of the obtained results, it can be concluded that there is a phenomenon of transfer of experience, as supervisory boards become an environment where younger family members are prepared to take up responsibilities in management boards. The study employed a graphical method to identify modal values, a cluster analysis, as well as statistical methods. The results obtained with different methods proved very similar.
  Keywords: family companies; generations; composition of management and supervisory boards; cluster analysis; multimodal distributions.
  DOI: 10.1504/IJAMS.2026.10071288
   
  
• Translating Inclusive Leadership into Employee Involvement in Creative Works: the Mediating Role of Person-Job Fit  
  by Lütfi Sürücü, Mustafa Bekmezci, Wasim Ul Rehman, Mumtaz Anwar 
  Abstract: Todays working environment is heterogeneous. This means that people of different races, different religions, different ethnic origins, different genders and different levels of education work together. This diversity is also critical for creativity and innovation. This diversity also has positive effects, including such as the selection of talent, improving products and services, making good decisions and building reputation. But diversity does not mean inclusion. Inclusive leadership is necessary to harness the potential benefits of diversity. Keeping this in mind, the purpose of this study is to examine the mediating role of person-job fit on the effect of inclusive leadership on employee involvement in creative work. The sample of the study consists of employees of state banks operating in Istanbul. To mitigate common method bias, researchers employed various methods. The findings of the analysis show that inclusive leadership has a significant and positive effect on employee involvement in creative work and person-job fit. In addition, the effect of person-job fit on employee involvement in creative work is also significant and positive. Confirming the mediating effect of person-job fit on employee involvement in creative works, the study also establishes its role in the effect of inclusive leadership.
  Keywords: Inclusive leadership; Employee involvement; Creative works; Person-job fit.
  DOI: 10.1504/IJAMS.2026.10071484
   
  
• Determinants of Engagement with Health Insurance Mobile Apps to Enhance the Quality Of Life  
  by Wajdy Omran, Salsal Sadek Kanaan 
  Abstract: Health insurance apps have revolutionised access to essential services, offering users personalized and convenient solutions that enhance their quality of life (QOL). However, despite their growing adoption, the drivers of user engagement with insurance apps, particularly in the Syrian context, remain underexplored. Addressing this gap, this study conceptualised and empirically examined the factors influencing user engagement with the "IMPA CARE" health insurance app and its subsequent impact on individual QOL. We define app engagement as the degree to which users interact with and derive value from app features, shaped by five key factors: convenience, personalisation, control, relational benefits, and novelty. A structured survey of 286 "IMPA CARE" users was conducted, and the data were analysed using structural equation modelling-partial least squares PLS.SEM. The findings revealed that these factors significantly enhance app engagement, which mediates their relationship with QOL. This study contributes to health insurance app literature and guides developers and marketers in competitive markets to design by providing user-centric apps.
  Keywords: App engagement; Health insurance; IMPA CARE; Convenience; Relational benefits; Quality of life.
  DOI: 10.1504/IJAMS.2027.10072249
   
  
• Mapping the Landscape of Artificial Intelligence in Insurance Industry: a Review and Bibliometric Analysis  
  by Shweta Jaiswal, Tejbahadur Kannaujiya 
  Abstract: This study aims to provide new insights into the development of AI research in the insurance industry through bibliometric and network analysis using the Dimension and Scopus databases This analysis is based on 248 papers published between 2010 to 2024. The bibliometric analysis defines the research topic by highlighting the top contributors in the field countries, prominent authors, and influential publications The publication rate has been substantial since 2015, demonstrating the rapidly increasing interest in artificial intelligence technologies such as machine learning, natural language processing, and predictive analytics The findings reveal that there is significant increase in publications, indicating growing interest and investment in AI technologies within insurance and also section employs bibliometric analysis to present the most frequently cited papers, leading contributing authors, journals, and institutions, serving as a framework for the intellectual structure of this research field .
  Keywords: Bibliometric analysis; Insurance; Artificial Intelligence; Risk management; Innovation.
  DOI: 10.1504/IJAMS.2026.10072438
   
  
• Does Adhocracy Culture Enhance employee Engagement and Facilitate OCB? A Mediation Analysis  
  by Kamaleswar Boro, Fariza Saidin, Pulak Kumar Deka, Bijit Debbarma 
  Abstract: The study highlights the mediating role of adhocracy culture in the nexus between employee engagement and organisational citizenship behaviour. Past studies on organisational culture have not emphasised specifically, on the influence of adhocracy culture across organisations and its impact on facilitating employee engagement and organisational citizenship behaviour. Data was collected from 219 employees of private firms across Guwahati, Assam. Partial Least Square based structured equation modelling was performed with the data to examine the relationship between the variables. As per the findings, adhocracy culture facilitates employee engagement and organisational citizenship behaviour but has an inverse relationship with employee engagement. Adhocracy culture was also found to be significant in mediating the relationship between organizational citizenship behaviour and employee engagement. As direct influence of OCB and EE was confirmed through path analysis, the strength of mediation of adhocracy culture was found to be small. Additionally, moderating effect of years of experience and gender was found to be insignificant. The study findings provide practical implication on firms and management, in terms of implementing adhocracy culture across their organisational culture.
  Keywords: Organisational Citizenship Behaviour; Employee Engagement; Adhocracy culture.
  DOI: 10.1504/IJAMS.2026.10072566
   
  
• Exploring Firm Performance and Stock Return Nexus Across Large-Cap, Mid-Cap and Small Cap Stocks: Application of Machine Learning Approach  
  by Muhammadriyaj Faniband, Pravin Jadhav, Santosh Sutar 
  Abstract: We investigate the effects of net sales, net profit and earnings per share (EPS) on large-cap, mid-cap and small-cap stock returns using quarterly data from June 2010 to March 2022. We apply machine learning approaches, namely, the Classification and Regression Trees and the Random Forest algorithms for the analysis. Our analysis reveals interesting results. First, EPS is the primary factor that explains returns for large cap stocks, followed by net sales and net profit. Second, similar patterns are observed for mid cap stocks, where EPS significantly impacts returns, followed by net sales and net profit. Third, only EPS and net sales exhibit explanatory impact for small cap stocks. Our results hold substantial utility for investors and portfolio managers which offer insights into market trends and aiding in portfolio risk management.
  Keywords: Firm Performance; Stock Returns; Machine Learning; ML; Large Cap; Mid Cap; Small Cap; India.
  DOI: 10.1504/IJAMS.2027.10072743
   
  
• An innovative tool for team development: the use of musical activity  
  by Malka Tal-Shmotkin 
  Abstract: This study explored a new method for creating an effective working team using a music-based task. The main hypothesis was that engagement in music making would relate to team effectiveness and team satisfaction. Undergraduate students participated in an experiment where they were given introductory explanations regarding musical terms. Their task included a performance of a short rhythm and a spontaneous composition of a melody for this rhythm. Each performing team was watched by observers. Supporting the study hypothesis, the ratings of the musical experience among performers were associated with self-perceived team effectiveness and team satisfaction. These associations, along with actual evaluations of team effectiveness and team satisfaction, were lower among observers than performers. The findings indicated the potential contribution of musical activity to team behaviour in organisations. They also suggested the need of team members to be actively involved in the musical task rather than stay in an observing role.
  Keywords: team development; musical activity; music ensembles; team work; team effectiveness; team satisfaction.
  DOI: 10.1504/IJAMS.2025.10068240
   
  
• The impact of heuristics on financial risk tolerance of individual investors  
  by N.V. Suresh, V. Suganya, M. Kalaivani, Balaji Kanagasabai 
  Abstract: The main aim of this research study is to find the impact of heuristics (anchoring, availability, representativeness, gambler's fallacy and overconfidence) on the financial risk tolerance of investors. Heuristics are termed as 'rules of thumb' or 'mental shortcuts' that help in making inferences and assumptions from the available data to make decisions. Heuristics are the strategies that could be applied to problem-solving and are very often used to reduce the complexity of problems. The data collection is done among 602 individual investors in Chennai city using multi-stage sampling method. The regression analysis done using SPSS revealed that except anchoring all the other variables (availability, representativeness, gambler's fallacy and overconfidence) have a significant and positive impact on the financial risk tolerance. This study is the first of its kind to explore the relationship between heuristics and financial risk tolerance.
  Keywords: risk tolerance; heuristics; individual investors.
  DOI: 10.1504/IJAMS.2025.10068137
   
  
• The influence of corporate culture on employee loyalty: a case study of a bank in Vietnam  
  by Nguyen Van Hoang, Hoang Xuan Binh, Phung Duy Quang 
  Abstract: The paper is based on research on corporate culture at ABC-Vietnam Bank and theoretical foundations on employee loyalty. Using the theoretical model of Ricardo and Jolly (1997) and previous research models, the authors propose to study four aspects of corporate culture that affect employee loyalty at Bank for Agriculture and Rural Development of Vietnam, Hanoi branch. These aspects include: (i) internal communication, (ii) training and development, (iii) rewards and recognition and (iv) teamwork. Descriptive statistical analysis methods, reliability analysis Cronbach's alpha, exploratory factor analysis (EFA), correlation analysis and regression analysis were used to produce the results. The results show that three out of four of these aspects have a positive influence on employee engagement at the ABC-Vietnam Bank.
  Keywords: corporate culture; loyalty; EFA; exploratory factor analysis; correlation analysis; regression analysis; data science.
  DOI: 10.1504/IJAMS.2025.10068567
   
  
• The effect of social media marketing on Bhubaneswar's hotel industries performance: an empirical study using PLS-SEM approach  
  by Prasant Kumar Rout, Mamata Nayak, Gobinda Chandra Panda, Biswa Ranjan Mohanty, Shib Sankar Sana 
  Abstract: Social media platforms have become essential across various sectors, including the hotel industry, by enabling quick information access and engagement with customers. This study examines the significance of social media marketing in enhancing hotel business performance, specifically analysing the relationship between different marketing capabilities and social media marketing capabilities. Utilising a five-capability framework, the study explores how hotels can benefit from social media capabilities in pricing, product development, communication, branding, and selling. Conducted in Bhubaneswar, India, the research surveyed 145 hotels using a 36-question questionnaire. Data analysis was carried out using Smart PLS 3.0 for structural equation modelling, assessed factor loadings and path coefficients. Findings reveal that social media capabilities in pricing, communication, and selling significantly enhance social media marketing performance. This study recommends that hotel business owners focus on developing social media marketing capabilities, as they play a critical role in advancing various marketing skills and directly impact hotel business performance and growth.
  Keywords: marketing capability; social media marketing; pricing capability; branding capability; selling capability; business performance; hotel industry.
  DOI: 10.1504/IJAMS.2025.10067778
   
  
• Integrating the impact of consultative leadership and agile leadership dimensions in meeting Holonic manufacturing system requirements  
  by Jamal Ahmed Hama Kareem, Sarhang Muhammad Rahim, Farooq Hussain Muhammad 
  Abstract: This research aims to obtain a better understanding of the role that consultative leadership and the dimensions of agile leadership can play in establishing the requirements of the Holonic manufacturing system in the industrial sector, specifically in large factories in the Kurdistan Region of Iraq. To achieve this goal, a quantitative method was chosen, and data were collected using a structured questionnaire that had already been tested. The results revealed that consultative leadership and the dimensions of agile leadership, particularly flexibility, play a vital and decisive role in enhancing the establishment of the Holonic manufacturing system requirements in the factories studied. This response aims to achieve the efficient and effective use of available resources, which is crucial for producing high-quality products in a competitive contemporary market environment. Based on these results, the research recommended careful attention to the concepts of consultative leadership and the dimensions of agile leadership, prioritising them to develop and improve the ability to adapt and change in the face of successive challenges that any industrial system may face in an era characterised by intense competition.
  Keywords: consultative leadership; agile leadership; Holon manufacturing system; industrial project; Iraq.
  DOI: 10.1504/IJAMS.2025.10066549