Template-Type: ReDIF-Article 1.0 Author-Name: Madjid Tavana Author-X-Name-First: Madjid Author-X-Name-Last: Tavana Author-Name: Abbas Bonyani Author-X-Name-First: Abbas Author-X-Name-Last: Bonyani Author-Name: Tooraj Karimi Author-X-Name-First: Tooraj Author-X-Name-Last: Karimi Title: A full ranking method in data envelopment analysis with multi-criteria decision analysis Abstract: This study presents a new hybrid Multi-Criteria Decision Analysis (MCDA) model for the full ranking of Decision-Making Units (DMUs) with multiple inputs and outputs. The Best-Worst Method (BWM) is used to rank the units, and the Charnes-Cooper-Rhodes (CCR) Data Envelopment Analysis (DEA) model is utilised to construct the pairwise comparison vector. The unit with the lowest efficiency is identified and compared with other units using DEA for each pair of units. Similarly, the unit with the highest efficiency is identified next and compared with the different units. A linear programming problem is formulated and solved to find the optimal weight of the units and rank them. The pairwise comparisons in the proposed BWM-DEA method are highly consistent because of the objective evaluation process. The proposed method has several advantages, including fewer and more consistent comparisons, leading to more reliable results than similar ranking methods in DEA. Journal: Int. J. of Applied Management Science Pages: 1-26 Issue: 1 Volume: 17 Year: 2025 Keywords: DEA; data envelopment analysis; MCDA; multi-criteria decision analysis; BWM; best worst method; analytics hierarchy process; pairwise comparison; ranking. File-URL: http://www.inderscience.com/link.php?id=143653 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:1:p:1-26 Template-Type: ReDIF-Article 1.0 Author-Name: Quang Hung Do Author-X-Name-First: Quang Hung Author-X-Name-Last: Do Title: The analysis of critical success factor ranking for artificial intelligence adoption in banking sector using fuzzy analytic hierarchy process Abstract: Artificial intelligence applications in the banking industry have attracted a lot of interest. The paper examined the critical success factors influencing artificial intelligence adoption which have been identified from the literature survey and through experts' opinions have finally been confirmed in context of this study on banking organisations. Further, fuzzy Analytic Hierarchy Process (AHP) has been used to evaluate the identified 15 critical factors and to find their priorities in banking organisations. Moreover, a conceptual framework based on Technology Organisation Environment Human (TOEH) theory was utilised in the context of the Vietnamese bank sector. The results of the study indicate that banking users' trust, regulatory environment and security and privacy are the most significant critical success factors for adopting artificial intelligence in banking. This paper contributes to the understanding of artificial intelligence, its features and highlights the importance of new technology and solutions in the banking sector. Journal: Int. J. of Applied Management Science Pages: 94-121 Issue: 1 Volume: 17 Year: 2025 Keywords: banking sector; artificial intelligence adoption; critical success factors; fuzzy analytic hierarchy process; Vietnam. File-URL: http://www.inderscience.com/link.php?id=143654 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:1:p:94-121 Template-Type: ReDIF-Article 1.0 Author-Name: Sreekumar Author-X-Name-First: Author-X-Name-Last: Sreekumar Author-Name: Smruti Rekha Behera Author-X-Name-First: Smruti Rekha Author-X-Name-Last: Behera Title: Selection of project manager in a large-scale enterprise: an analytical hierarchy process approach Abstract: The success of large-scale businesses depends on choosing a qualified project manager. The paper identifies the important aspects and criteria that influence this process and provides a systematic framework for selection of suitable project manager. The Analytical Hierarchy Process (AHP), a multi-criteria decision-making process, was used as the research technique. Project managers working on ongoing projects across the country provided the data for this study. A total of 36 responses, complete in all forms is used for the study. The literature review shows that a project manager shall have three essential skills viz. technical skills, organisational skills and behavioural skills. The analysis shows that out of these skills, the technical skill is most important for success of a project manager followed by organisational skill and behavioural skill. The weights of skill set are combined with the competency of each project manager applicant to select the best suited project manager. Journal: Int. J. of Applied Management Science Pages: 72-93 Issue: 1 Volume: 17 Year: 2025 Keywords: project manager selection; AHP; analytical hierarchy process; multi-criteria decision making; criteria prioritisation; technical skill; organisational skill; behavioural skill. File-URL: http://www.inderscience.com/link.php?id=143658 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:1:p:72-93 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Mahdi Keshvari Author-X-Name-First: Mohammad Mahdi Author-X-Name-Last: Keshvari Author-Name: Mohsen Shafiei Nikabadi Author-X-Name-First: Mohsen Shafiei Author-X-Name-Last: Nikabadi Title: A comparative study on vision, mission statement and goals of world-class automotive companies with text mining approach Abstract: This study explores the differences between the mission statements of Iranian and global automotive companies. This study identifies the gaps between the two by analysing the mission statements of fourteen international automakers and two Iranian automakers using Text Mining and <em>K</em>-means techniques. The analysis reveals that global companies are clustered into two groups based on the concepts of 'Custom' and 'Live'. In comparison, Iranian companies are clustered into two groups using the concepts of 'Benefit' and 'Abil'. The findings suggest that both foreign and Iranian companies tend to use vague concepts, but Iranian companies focus more on beneficence and company empowerment while prioritising the national market. Conversely, international companies prioritise enhancing customer satisfaction. This study highlights significant differences in the words used in Iranian and global automakers' vision and mission statements, emphasising the importance of understanding cultural nuances when creating these statements. Journal: Int. J. of Applied Management Science Pages: 52-71 Issue: 1 Volume: 17 Year: 2025 Keywords: data mining; text mining; clustering; automotive industry; K-means; world class. File-URL: http://www.inderscience.com/link.php?id=143666 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:1:p:52-71 Template-Type: ReDIF-Article 1.0 Author-Name: Manisha Pant Author-X-Name-First: Manisha Author-X-Name-Last: Pant Author-Name: Seema Sharma Author-X-Name-First: Seema Author-X-Name-Last: Sharma Author-Name: Anand Chauhan Author-X-Name-First: Anand Author-X-Name-Last: Chauhan Author-Name: Anubhav Pratap Singh Author-X-Name-First: Anubhav Pratap Author-X-Name-Last: Singh Title: Modelling and optimisation of sustainable production model with screening and carbon awareness for manufacturing industry Abstract: The awareness of environmental issues has resulted in remanufacturing and repurposing rules in the industrial sector. An ecological concern is carbon emission and the implementation of an appropriate carbon policy on manufacturing might assist to reduce emissions. Another significant factor is screening for industry is to improve the quality of the product, this work achieves various targets of sustainable development goals (SDG9 and SDG11). Over a finite time horizon, the manufacturing-remanufacturing framework with carbon emission costs and screening costs for a single product, like electronic gadgets is consider and some defective units produced during the manufacturing and continually moving into the remanufacturing. Also, this study provides the sustainable production model with screening cost and a carbon policy to decrease carbon emissions and resulting an optimal total profit of the system. To ensure the model's stability, an illustration and sensitivity analysis for significant factors of the model have been presented. Journal: Int. J. of Applied Management Science Pages: 27-51 Issue: 1 Volume: 17 Year: 2025 Keywords: optimisation; reverse logistics; sustainable production; defective items; carbon emission; screening. File-URL: http://www.inderscience.com/link.php?id=143671 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:1:p:27-51 Template-Type: ReDIF-Article 1.0 Author-Name: John Little Junus Author-X-Name-First: John Little Author-X-Name-Last: Junus Author-Name: Amy Wong Author-X-Name-First: Amy Author-X-Name-Last: Wong Title: Investigating brand experience and corporate social responsibility: unravelling green brand insights for sustainable consumer behavioural outcomes Abstract: 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. Journal: Int. J. of Applied Management Science Pages: 123-139 Issue: 2 Volume: 17 Year: 2025 Keywords: brand experience; green corporate social responsibility; green brands; sustainable marketing. File-URL: http://www.inderscience.com/link.php?id=147273 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:2:p:123-139 Template-Type: ReDIF-Article 1.0 Author-Name: R. Rajesh Author-X-Name-First: R. Author-X-Name-Last: Rajesh Author-Name: R. Jeyapaul Author-X-Name-First: R. Author-X-Name-Last: Jeyapaul Title: Strategy selection for the Indian LPG distribution industry using hybrid-MCDM techniques Abstract: The market size and demand for Liquefied Petroleum Gas (LPG) in India for domestic, commercial and industrial applications are huge. Nearly 31.8 domestic consumers as of the year 2023. The main task 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 the various factors using SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis 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. Journal: Int. J. of Applied Management Science Pages: 184-214 Issue: 2 Volume: 17 Year: 2025 Keywords: last-mile delivery; MCDM; Porter's Five Force analysis; strategic planning; SWOT analysis; TOWS analysis. File-URL: http://www.inderscience.com/link.php?id=147278 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:2:p:184-214 Template-Type: ReDIF-Article 1.0 Author-Name: Sumaira Jan Author-X-Name-First: Sumaira Author-X-Name-Last: Jan Author-Name: Swati Sisodia Author-X-Name-First: Swati Author-X-Name-Last: Sisodia Title: Retained but affected: the psychological toll of layoffs on survivors and the mediating roles of gender and social support 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. Journal: Int. J. of Applied Management Science Pages: 140-162 Issue: 2 Volume: 17 Year: 2025 Keywords: layoffs; survivors; psychological wellbeing; IT sector; gender; social support; mediation. File-URL: http://www.inderscience.com/link.php?id=147294 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:2:p:140-162 Template-Type: ReDIF-Article 1.0 Author-Name: Baaba Essaabah Essel Author-X-Name-First: Baaba Essaabah Author-X-Name-Last: Essel Author-Name: Peace Kumah Author-X-Name-First: Peace Author-X-Name-Last: Kumah Title: The impact of job rotation on nurses' professional development in public and private healthcare Abstract: This study explores the impact of job rotation on nurses' professional development in public and private healthcare settings, focusing on skills and knowledge, career growth, organisational outcomes and personal development. Data was collected from 240 nurses in 12 health centres in Ghana. Exploratory factor analysis and multiple regression were employed to analyse the relationships between job rotation factors and employee professional development. The study revealed a positive association between skills and knowledge, career growth and organisational outcomes with employee professional development. Personal development showed a positive but insignificant effect. Skills and knowledge emerged as the most influential predictors of employee development. The findings suggest that well-managed job rotation practices can yield positive outcomes for employee professional development. Healthcare facilities are encouraged to adopt job rotation strategies to enhance the careers of newly recruited health employees. Journal: Int. J. of Applied Management Science Pages: 215-235 Issue: 2 Volume: 17 Year: 2025 Keywords: job rotation; career development; skills and knowledge; personal development; employee professional development. File-URL: http://www.inderscience.com/link.php?id=147303 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:2:p:215-235 Template-Type: ReDIF-Article 1.0 Author-Name: Aya Idrissi Author-X-Name-First: Aya Author-X-Name-Last: Idrissi Author-Name: Rajaa Benabbou Author-X-Name-First: Rajaa Author-X-Name-Last: Benabbou Author-Name: Jamal Benhra Author-X-Name-First: Jamal Author-X-Name-Last: Benhra Author-Name: Mounia El Haji Author-X-Name-First: Mounia El Author-X-Name-Last: Haji Title: Solid waste generation forecasts using long short-term memory approach 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. Journal: Int. J. of Applied Management Science Pages: 163-183 Issue: 2 Volume: 17 Year: 2025 Keywords: solid waste generation; artificial intelligence; LSTM; long short-term memory; neural network; back propagation. File-URL: http://www.inderscience.com/link.php?id=147307 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:2:p:163-183 Template-Type: ReDIF-Article 1.0 Author-Name: Jamal Ahmed Hama Kareem Author-X-Name-First: Jamal Ahmed Hama Author-X-Name-Last: Kareem Author-Name: Sarhang Muhammad Rahim Author-X-Name-First: Sarhang Muhammad Author-X-Name-Last: Rahim Author-Name: Farooq Hussain Muhammad Author-X-Name-First: Farooq Hussain Author-X-Name-Last: Muhammad Title: Integrating the impact of consultative leadership and agile leadership dimensions in meeting Holonic manufacturing system requirements 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. Journal: Int. J. of Applied Management Science Pages: 311-332 Issue: 3 Volume: 17 Year: 2025 Keywords: consultative leadership; agile leadership; Holon manufacturing system; industrial project; Iraq. File-URL: http://www.inderscience.com/link.php?id=148085 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:3:p:311-332 Template-Type: ReDIF-Article 1.0 Author-Name: Prasant Kumar Rout Author-X-Name-First: Prasant Kumar Author-X-Name-Last: Rout Author-Name: Mamata Nayak Author-X-Name-First: Mamata Author-X-Name-Last: Nayak Author-Name: Gobinda Chandra Panda Author-X-Name-First: Gobinda Chandra Author-X-Name-Last: Panda Author-Name: Biswa Ranjan Mohanty Author-X-Name-First: Biswa Ranjan Author-X-Name-Last: Mohanty Author-Name: Shib Sankar Sana Author-X-Name-First: Shib Sankar Author-X-Name-Last: Sana Title: The effect of social media marketing on Bhubaneswar's hotel industries performance: an empirical study using PLS-SEM approach 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. Journal: Int. J. of Applied Management Science Pages: 294-310 Issue: 3 Volume: 17 Year: 2025 Keywords: marketing capability; social media marketing; pricing capability; branding capability; selling capability; business performance; hotel industry. File-URL: http://www.inderscience.com/link.php?id=148093 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:3:p:294-310 Template-Type: ReDIF-Article 1.0 Author-Name: N.V. Suresh Author-X-Name-First: N.V. Author-X-Name-Last: Suresh Author-Name: V. Suganya Author-X-Name-First: V. Author-X-Name-Last: Suganya Author-Name: M. Kalaivani Author-X-Name-First: M. Author-X-Name-Last: Kalaivani Author-Name: Balaji Kanagasabai Author-X-Name-First: Balaji Author-X-Name-Last: Kanagasabai Title: The impact of heuristics on financial risk tolerance of individual investors 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. Journal: Int. J. of Applied Management Science Pages: 252-267 Issue: 3 Volume: 17 Year: 2025 Keywords: risk tolerance; heuristics; individual investors. File-URL: http://www.inderscience.com/link.php?id=148095 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:3:p:252-267 Template-Type: ReDIF-Article 1.0 Author-Name: Malka Tal-Shmotkin Author-X-Name-First: Malka Author-X-Name-Last: Tal-Shmotkin Title: An innovative tool for team development: the use of musical activity 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. Journal: Int. J. of Applied Management Science Pages: 237-251 Issue: 3 Volume: 17 Year: 2025 Keywords: team development; musical activity; music ensembles; team work; team effectiveness; team satisfaction. File-URL: http://www.inderscience.com/link.php?id=148096 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:3:p:237-251 Template-Type: ReDIF-Article 1.0 Author-Name: Nguyen Van Hoang Author-X-Name-First: Nguyen Van Author-X-Name-Last: Hoang Author-Name: Hoang Xuan Binh Author-X-Name-First: Hoang Xuan Author-X-Name-Last: Binh Author-Name: Phung Duy Quang Author-X-Name-First: Phung Duy Author-X-Name-Last: Quang Title: The influence of corporate culture on employee loyalty: a case study of a bank in Vietnam 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. Journal: Int. J. of Applied Management Science Pages: 268-293 Issue: 3 Volume: 17 Year: 2025 Keywords: corporate culture; loyalty; EFA; exploratory factor analysis; correlation analysis; regression analysis; data science. File-URL: http://www.inderscience.com/link.php?id=148097 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:3:p:268-293 Template-Type: ReDIF-Article 1.0 Author-Name: Ivan Sciascia Author-X-Name-First: Ivan Author-X-Name-Last: Sciascia Title: Value systems in some recent marketing and organisational literature 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. Journal: Int. J. of Applied Management Science Pages: 419-435 Issue: 4 Volume: 17 Year: 2025 Keywords: operational definitions; measuring models; connection models; organisational values; classification. File-URL: http://www.inderscience.com/link.php?id=149475 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:4:p:419-435 Template-Type: ReDIF-Article 1.0 Author-Name: Faleh Alshameri Author-X-Name-First: Faleh Author-X-Name-Last: Alshameri Author-Name: Jocelyne B. Eid Author-X-Name-First: Jocelyne B. Author-X-Name-Last: Eid Title: The impact of implementing artificial intelligence system for anti-money laundering: a Lebanese Bank case study 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 (ML) and Financial Terrorism (FT) 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 led 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%. Journal: Int. J. of Applied Management Science Pages: 354-370 Issue: 4 Volume: 17 Year: 2025 Keywords: artificial intelligence; money laundering; financial terrorism; monitoring system; know your customer. File-URL: http://www.inderscience.com/link.php?id=149476 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:4:p:354-370 Template-Type: ReDIF-Article 1.0 Author-Name: C. Rajathi Author-X-Name-First: C. Author-X-Name-Last: Rajathi Author-Name: P. Rukmani Author-X-Name-First: P. Author-X-Name-Last: Rukmani Title: A performance boosting transition in predictive modelling for customer acquisition 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 <em>R</em>-squared score (<em>R</em>²). The analysis result indicates XGBoost regression algorithm yields the highest <em>R</em>² and lowest MAE for the proposed PB-PM, respectively 0.23 and 0.990. Journal: Int. J. of Applied Management Science Pages: 400-418 Issue: 4 Volume: 17 Year: 2025 Keywords: business intelligence; cost prediction; lasso regression; linear regression; machine learning; random forest; ridge regression; XGBoost. File-URL: http://www.inderscience.com/link.php?id=149477 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:4:p:400-418 Template-Type: ReDIF-Article 1.0 Author-Name: Dinko Herman Boikanyo Author-X-Name-First: Dinko Herman Author-X-Name-Last: Boikanyo Title: Dynamic capabilities and strategic innovation: imperatives in an ever-changing environment Abstract: In the fast-paced and uncertain landscape of contemporary business environments, organisations 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 emphasised, 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 organisations navigating the evolving landscape with resilience and strategic foresight. Journal: Int. J. of Applied Management Science Pages: 333-353 Issue: 4 Volume: 17 Year: 2025 Keywords: dynamic capabilities; strategic innovation; innovation; changing environment; strategic innovation framework. File-URL: http://www.inderscience.com/link.php?id=149480 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:4:p:333-353 Template-Type: ReDIF-Article 1.0 Author-Name: Le Truc Nguyen Author-X-Name-First: Le Truc Author-X-Name-Last: Nguyen Author-Name: Ha Thu Nguyen Author-X-Name-First: Ha Thu Author-X-Name-Last: Nguyen Author-Name: Thuy Dam Luong Hoang Author-X-Name-First: Thuy Dam Luong Author-X-Name-Last: Hoang Author-Name: Anh Chi Phan Author-X-Name-First: Anh Chi Author-X-Name-Last: Phan Title: Customers' technology acceptance towards ride-hailing service: bibliometric analysis and thematic analysis 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. Journal: Int. J. of Applied Management Science Pages: 371-399 Issue: 4 Volume: 17 Year: 2025 Keywords: customer; technology acceptance; ride hailing service; bibliometric analysis; thematic analysis. File-URL: http://www.inderscience.com/link.php?id=149482 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:17:y:2025:i:4:p:371-399 Template-Type: ReDIF-Article 1.0 Author-Name: Huang Changxiang Author-X-Name-First: Huang Author-X-Name-Last: Changxiang Author-Name: Sunita Lylia Binti Hamdan Author-X-Name-First: Sunita Lylia Binti Author-X-Name-Last: Hamdan Author-Name: Nor Azliana Binti Aridi Author-X-Name-First: Nor Azliana Binti Author-X-Name-Last: Aridi Title: An empirical study on supplier concentration and working capital: the moderating effect of internal control Abstract: Working capital is an essential resource for the continuity of corporate operations, and its management is crucial for maintaining a firm's everyday activities. Senior management must prioritise the appropriate management of working capital to ensure the company's long-term stability and sustainable development. This study analyses a data set of 7451 firm-year observations from A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2012 to 2019 to evaluate the impact of supplier concentration and internal control on the efficacy of corporate working capital management. The empirical data indicate that increased supplier concentration is associated with a diminished cash conversion cycle, hence improving the efficiency of working capital utilisation. This suggests that fostering robust, cooperative relationships with a select group of essential suppliers might improve cash flow management and accelerate capital turnover. The study additionally reveals that the internal control system positively moderates this association. Implementing strong internal control systems can enhance the beneficial impact of supplier concentration on the effectiveness of working capital management. Journal: Int. J. of Applied Management Science Pages: 1-20 Issue: 5 Volume: 17 Year: 2025 Keywords: suppliers; internal control; working capital. File-URL: http://www.inderscience.com/link.php?id=150546 File-Format: text/html File-Restriction: Open Access Handle: RePEc:ids:injams:v:17:y:2025:i:5:p:1-20