International Journal of Applied Management Science (16 papers in press)

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  Social network of confident attitudes with Response Time Testing ( Free Full-text Access )

  by Guillaume P. Fernandez, Bart F. Norré, Dorota Reykowska, Kirti Dutta, Mai Nguyen, Joaquin Fernandez, Rafal Ohme 
  Abstract: Data constitutes the foundation of scientific research. The selected methodology of data collection defines its quality and research quality. In quantitative surveys and Social Network Analysis (SNA), data quality discussions strongly focus on declarative bias. Data quality would significantly improve if strong attitudes could be distinguished from the low ones since the former are more likely to be reliable and reflect individuals social perceptions. The current paper measures attitudes with Response Time Testing (RTT). This methodology allows the identification of highly confident data by assessing the calibrated speed of a response. Simultaneously, RTT delivers in parallel classical declaration-based answers because, to the respondent, they are just like any other questionnaire. The difference between both approaches (classical and RTT) is analysed in two networks of similarity of attitudes towards COVID-19. The results show significant differences when only responses that show a high attitude accessibility are kept. Quadratic Assignment Procedure (QAP) and T-tests show that highly confident responses provide a significantly less cohesive network than when all the declaration-based answers are considered for analysis.
  Keywords: Response Time Testing; Social Network; Declarative bias; Attitude; Confidence; Data quality.
  DOI: 10.1504/IJAMS.2024.10068404
   
  
• Investigating Brand Experience and Corporate Social Responsibility: Unravelling Green Brand Insights for Sustainable Consumer Behaviourial Outcomes  
  by John Little Junus, Amy Wong Ooi Mei 
  Abstract: Applying the relationship theory, this study seeks to investigate the role of green brand experience, comprising dimensions such as sensory, affective, behavioural, intellectual, and green brand corporate social responsibility in impacting consumer behavioural outcomes such as word of mouth and purchase intention. Using a purposive sampling approach, data was collected via an online survey over a one-month period. The data was analysed via SmartPLS version 4.0. The findings show the significant positive effects of affective and intellectual brand experience on word of mouth. In addition, sensory and affective brand experience impacted purchase intention, while green brand corporate social responsibility influenced both word of mouth and purchase intention. The findings offer green brand managers valuable insights into the efficient allocation of resources and the effective formulation of sustainable marketing strategies aimed at increasing brand equity and customer loyalty.
  Keywords: Brand experience; green corporate social responsibility; green brands; sustainable marketing.
  DOI: 10.1504/IJAMS.2025.10065719
   
  
• Strategy Selection for the Indian LPG Distribution Industry using Hybrid-MCDM Techniques  
  by Rajesh R, Jeyapaul. R 
  Abstract: The market size and demand for Liquefied Petroleum Gas (LPG) in India for domestic, commercial, and industrial applications are huge. As of 2023, there were approximately 31.8 crore domestic consumers. The primary focus of LPG distributors is to deliver the cylinders to the customer locations. Last-mile delivery is the most expensive and inefficient part of the Supply Chain. It is critical to manage the distribution of huge demand and needs special attention to perform the distribution effectively. Strategies are developed to improve the organisation’s service quality, considering the customer requirements and effective utilisation of resources. Strategies are developed by analysing various factors using SWOT (Strengths, Weaknesses, Opportunities and Threats) combined with Porter’s Five Forces analysis and TOWS analysis. Hybrid-Multi Criteria Decision-Making methods are used to prioritise the strategies. The analysis concludes that market expansion and customer satisfaction-based strategies are the topmost priority and are proposed to improve service quality.
  Keywords: Last-Mile delivery; MCDM; Porter’s Five Force Analysis; Strategic Planning; SWOT Analysis; TOWS Analysis.
  DOI: 10.1504/IJAMS.2025.10065930
   
  
• Integrating the Impact of Consultative Leadership and Agile Leadership Dimensions in Meeting Holonic Manufacturing System Requirements  
  by Jamal Hamakareem, Sarhang Sarhang, Farooq 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; Dimensions of agile leadership; flexibility; Holonic Manufacturing System; Large industrial projects; Kurdistan Region of Iraq.
  DOI: 10.1504/IJAMS.2025.10066549
   
  
• Retained but Affected: The Psychological Toll of Layoffs on Survivors and the Mediating Roles of Gender and Social Support  
  by Sumaira Jan, Swati Sisodia 
  Abstract: In today's highly competitive and dynamic business environment, organisations often face the biggest challenge of downsizing to stay agile and adapt to changing environmental conditions. In this regard, layoff is one such strategy commonly followed by them. However, when an organisation lays off its employees, it not only sends a bad message but also affects the psychological wellbeing of its survivors. In this regard, the present study tried to decipher the impact which an organisational layoff has on its survivors' psychological wellbeing. The results of this study based on 435 responses from Delhi/NCR based IT sector employees showed that when an organisation lays off its people, the psychological wellbeing of its survivors is deeply impacted. Although with social support from their family, friends and colleagues they do combat such issues successfully but the gender seems to play no role in this endeavour. The findings of this study contribute to the existing body of knowledge on the impact of layoffs on survivors' psychological well-being and provide practical implications for IT companies. We believe that understanding the mediating role of gender and social support will assist organisations in implementing targeted interventions and support systems to enhance the psychological well-being of survivors.
  Keywords: Layoffs; survivors; psychological wellbeing; IT sector; Gender; Social Support; Mediation.
  DOI: 10.1504/IJAMS.2025.10066561
   
  
• The Impact of Job Rotation on Nurses' Professional Development in Public and Private Healthcare  
  by Baaba Essabah Essel, Peace Kumah 
  Abstract: The study investigated the impact of skills and knowledge, career growth, organisational outcomes, and personal development on nurses' professional development. Data was collected from 240 nurses across twelve health centers in Ghana. Exploratory factor analysis was used to examine the factor structure of the dataset. Multiple regression explored the relationship between skills and knowledge, career growth, organisational outcomes, personal development, and employee professional development. The results indicated a positive and significant association between the constructs, with skills and knowledge, organisational results, and career development showing a positive influence. Personal development had a positive but insignificant effect on employee development. Of all predictors of job rotation, skills and knowledge had the most significant impact on employee development. These suggest that a well-managed job rotation will provide positive outcomes for employee development. The study recommends that health facilities adopt job rotation practices to develop the careers of newly recruited health employees.
  Keywords: Job Rotation; Employee Development; Career Development; Skills and Knowledge; Personal Development; Professional Development.
  DOI: 10.1504/IJAMS.2025.10066774
   
  
• Solid Waste Generation Forecasts Using Long Short-Term Memory Approach  
  by Aya Idrissi, Rajaa Benabbou, Jamal Benhra, Mounia El Haji 
  Abstract: In recent years, artificial intelligence (AI) has become increasingly prominent across various domains with the objective of emulating human intelligence, and no industry has escaped its powerful advancement, including the waste management sector. This study proposes a time-series forecasting method based on a long short-term memory (LSTM) network to accurately predict the amount of waste daily collected. The LSTM model was trained using data points that align with the same phase of the seasonal cycle as the forecasted point, this approach preserves the chronological order of the data while focusing on points corresponding to the same phase of the seasonal cycle. To better illustrate the LSTM neural network's accuracy and robustness, a back-propagation artificial neural network (BP-ANN) based on the Levenberg-Marquardt training method was also used. The results demonstrated that the proposed LSTM outperformed in terms of accuracy and precision, proving its excellence in capturing the complex patterns.
  Keywords: Solid waste generation; Artificial Intelligence; Long Short-Term Memory LSTM; Neural Network; Back Propagation.
  DOI: 10.1504/IJAMS.2025.10066913
   
  
• 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 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; Socialmedia marketing; Pricing capability; Branding capability; Selling capability; Business performance; Hotel industry.
  DOI: 10.1504/IJAMS.2025.10067778
   
  
• The Impact of Heuristics on Financial Risk Tolerance of Individual Investors  
  by N.V. Suresh, Suganya Venuraj, Kalaivani M, Balaji Kanagasabai 
  Abstract: The main aim of this research study is to find the impact of heuristics (anchoring, availability, representativeness, gamblers 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, gamblers 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; and individual investors.
  DOI: 10.1504/IJAMS.2025.10068137
   
  
• 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
   
  
• 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 behavior in organizations. 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 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
   
  
• The Influence of Corporate Culture on Employee Loyalty: a Case Study of a Bank in Vietnam  
  by Hoang Nguyen Van, Hoang Xuan Binh, Quang Phung 
  Abstract: The article 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 4 aspects of corporate culture that affect employee loyalty at Bank for Agriculture and Rural Development of Vietnam. Hanoi branch, including: (i) Internal communication, (ii) Training and development, (iii) Rewards and recognition, (iv) Teamwork. By using descriptive statistical analysis methods, reliability analysis Cronbach's alpha, exploratory factor analysis (EFA: Exploratory Factor Analysis), correlation analysis and regression analysis to give the results. The analysis results are based on survey data at the ABC-Vietnam Bank, the results show that 3 out of 4 of these aspects have a positive influence on employee engagement with the ABC-Vietnam Bank.
  Keywords: Corporate culture; loyalty; exploratory factor analysis (EFA); correlation analysis; regression analysis; Data Science.
  DOI: 10.1504/IJAMS.2025.10068567
   
  
• 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