Template-Type: ReDIF-Article 1.0 Author-Name: Neema Gupta Author-X-Name-First: Neema Author-X-Name-Last: Gupta Author-Name: Bhaskara Srinivas Author-X-Name-First: Bhaskara Author-X-Name-Last: Srinivas Author-Name: Sanjay Taneja Author-X-Name-First: Sanjay Author-X-Name-Last: Taneja Author-Name: Pawan Kumar Author-X-Name-First: Pawan Author-X-Name-Last: Kumar Title: Mapping talent management excellence: a bibliometric exploration of influential authors, institutions, and clusters Abstract: Research studies on talent management have shown momentum progress in the last two decades and need analysis for identifying the major research works conducted and the changes during these years. The study aimed to assess documents published on talent management (TM) by using the bibliometric tool. The study assessed 638 documents published over two decades (2001 to 2021), extracted from the Scopus database. The findings tell that talent management persists in a broad area of study, although the study comes especially from European and North American nations. The little presentation from developing nations (Portugal, Pakistan and Saudi Arabia) shows that more study is required based on TM. The study determined three research clusters: concept development in the research area of talent management, the role of TM in SHRM, global talent challenges and management. Finally, the future research scopes suggested in this review study will provide a direction to future researchers. Journal: Int. J. of Services, Economics and Management Pages: 34-56 Issue: 1 Volume: 17 Year: 2026 Keywords: talent management; SHRM; global talent challenges; bibliometric tool; review and conceptual framework. File-URL: http://www.inderscience.com/link.php?id=151934 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injsem:v:17:y:2026:i:1:p:34-56 Template-Type: ReDIF-Article 1.0 Author-Name: Antje Lüersmann Author-X-Name-First: Antje Author-X-Name-Last: Lüersmann Title: Artificial intelligence in business information systems - main trends, benefits and risks Abstract: Business information systems, an integral part of extracting insights from operational processes, are facing challenges that are intensified by the flood of data resulting from increased digitisation. These challenges accentuate the importance of data consolidation, timeliness and accuracy across diverse business enterprises. Emerging development trends, notably the integration of artificial intelligence, have come to the fore, promising significant automation advantages and enhancing the decision-support capacities of these systems. Based on a literature review, this study examines the role of artificial intelligence in business information systems. The main findings underline that while artificial intelligence offers remarkable automation and digitisation potential, especially in aspects like computational intelligence and human-computer interaction, its application remains largely theoretical. Furthermore, the fusion of artificial intelligence with technologies such as blockchain is in nascent stages, suggesting ample areas for future research and practical implementation. This paper outlines both the benefits and the attendant risks. Journal: Int. J. of Services, Economics and Management Pages: 1-33 Issue: 1 Volume: 17 Year: 2026 Keywords: artificial intelligence; AI; business information systems; BIS; management information system; MIS; trends; benefits; risks. File-URL: http://www.inderscience.com/link.php?id=151935 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injsem:v:17:y:2026:i:1:p:1-33 Template-Type: ReDIF-Article 1.0 Author-Name: S.S.M. Sadrul Huda Author-X-Name-First: S.S.M. Sadrul Author-X-Name-Last: Huda Author-Name: Sunny Saha Author-X-Name-First: Sunny Author-X-Name-Last: Saha Author-Name: M.D. Humayun Kabir Author-X-Name-First: M.D. Humayun Author-X-Name-Last: Kabir Author-Name: Hamida Mosharraf Moniea Author-X-Name-First: Hamida Mosharraf Author-X-Name-Last: Moniea Title: Neighbourhood tourism: a study on Bangladesh tourism industry Abstract: The purpose of the paper is to see the impact of neighbourhood tourism on quality of life of the local visitor with a view to propose it as an alternative to traditional long-distance tourism in Dhaka Bangladesh. Convenience sampling method was used to collect data. Data was collected from the university going students. AMOS was used for data analysis. The research found that neighbourhood tourism has a positive impact on mental well-being, social well-being, economic well-being, and environmental well-being. This study has three implications for policymakers and managers. First, the government may utilise the study findings to re-create urban areas to provide recreational benefits to the community. Second, following the study's outcomes, businesses will be inspired to build new packages. Thirdly, NGOs and other stakeholders may get feedback for their advocacy campaign to mobilise social capital to promote neighbourhood tourism in the community. No other study analysed the impact of neighbourhood tourism on quality of life with these four tools, i.e., mental well-being, social well-being, economic well-being, and environmental well-being. Moreover, no previous research has gathered the younger generation's perception of neighbourhood tourism in the context of Bangladesh. Hence, the proposed study has tried to fill that discussed gap. Journal: Int. J. of Services, Economics and Management Pages: 68-80 Issue: 1 Volume: 17 Year: 2026 Keywords: COVID-19; tourism industry; neighbourhood tourism; Bangladesh; mental well-being; social well-being; economic well-being; environmental well-being. File-URL: http://www.inderscience.com/link.php?id=151936 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injsem:v:17:y:2026:i:1:p:68-80 Template-Type: ReDIF-Article 1.0 Author-Name: Muhammad Shakil Ahmad Author-X-Name-First: Muhammad Shakil Author-X-Name-Last: Ahmad Author-Name: Malik Aizaz Ahmad Author-X-Name-First: Malik Aizaz Author-X-Name-Last: Ahmad Author-Name: Islam Elgammal Author-X-Name-First: Islam Author-X-Name-Last: Elgammal Title: Emotional support and satisfaction with university campus life: mediation of self-efficacy and problem-solving Abstract: Drawing on social support theory, we examined the primary types of emotional support among university students and their impact on their satisfaction with campus life. We examined the mediating roles of self-efficacy and problem-solving capacity between two types of emotional support and satisfaction with campus life. This study implemented a cross-sectional survey design. Using a convenience sampling technique, data was collected from 582 university students. Structural equation modelling (SEM) using Smart PLS was used for data analysis. The study results show that students' satisfaction with campus life is impacted by both parents and teachers' emotional support in direct and indirect ways. The indirect impact of emotional support on satisfaction is via the mediating effect of self-esteem and problem-solving. Self-efficacy does not mediate the relationship between a teacher's emotional support and student satisfaction with campus life. Additionally, the study tested the causality relationship amid self-efficacy and problem-solving capacity as mediators. The existence of a mediation effect on self-esteem and problem-solving has provided insights which add new knowledge to the extant literature in higher education institutions (HEIs) on enhancing emotional support among students. Journal: Int. J. of Services, Economics and Management Pages: 81-101 Issue: 1 Volume: 17 Year: 2026 Keywords: emotional support; satisfaction; self-efficacy; problem-solving; students; campus life satisfaction. File-URL: http://www.inderscience.com/link.php?id=151937 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injsem:v:17:y:2026:i:1:p:81-101 Template-Type: ReDIF-Article 1.0 Author-Name: Christian Fauska Author-X-Name-First: Christian Author-X-Name-Last: Fauska Author-Name: Jaroslava Kniežová Author-X-Name-First: Jaroslava Author-X-Name-Last: Kniežová Title: Systematic review: Industry 4.0 technologies in shopfloor management - an overview Abstract: Industry 4.0 has been changing shopfloor management through technologies for digital surveillance and automated production. Available academic research highlights different technologies and applications, but so far, no comprehensive review outlining development requirements has been published. The study fills this research gap by systematising Industry 4.0 shopfloor technologies and their opportunities and challenges in a four-sector matrix. The study calls for further research on the machine-to-machine interface in cross-departmental applications. Journal: Int. J. of Services, Economics and Management Pages: 57-67 Issue: 1 Volume: 17 Year: 2026 Keywords: Industry 4.0; shop floor management; preventive maintenance; lean production; smart factory. File-URL: http://www.inderscience.com/link.php?id=151938 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injsem:v:17:y:2026:i:1:p:57-67 Template-Type: ReDIF-Article 1.0 Author-Name: Vitaliy Shliakhetko Author-X-Name-First: Vitaliy Author-X-Name-Last: Shliakhetko Author-Name: Andriy Shtangret Author-X-Name-First: Andriy Author-X-Name-Last: Shtangret Author-Name: Bohdan Diak Author-X-Name-First: Bohdan Author-X-Name-Last: Diak Author-Name: Vitaliy Flyak Author-X-Name-First: Vitaliy Author-X-Name-Last: Flyak Author-Name: Iryna Bezpalko Author-X-Name-First: Iryna Author-X-Name-Last: Bezpalko Title: Financial security in the use of digital technologies for open socio-economic systems under the threat of war: methodological aspects of process modelling Abstract: In Ukraine, since the beginning of 2022, the threat of military action has had a dominant influence on business, including in matters of digital transformation of enterprises. Under such circumstances, the digital transformation of Ukrainian enterprises requires priority consideration of security aspects, which is implemented through functional modelling. The main goal of the article is a modern methodological approach to modelling the process of ensuring the digital transformation of an enterprise in the context of the threat of military action. The object of the study is Ukrainian enterprises operating under martial law in the country. The scientific task is to present an effective model for ensuring the digital transformation of Ukrainian enterprises in the face of the negative influence of threats. For this purpose, the research methodology involves the use of structured analysis and design technique (SADT), which is a tool that allows you to analyse systems and visualise their structure. As a result of the study, a modern and effective SADT model for ensuring the digital transformation of an enterprise in the context of the threat of military action is presented. Models have been developed that allow planning and carry out digital transformation, based on possible further changes in the priority of the influence of threats and can be applied in the conditions of any enterprise, regardless of the scale of its activities and the main type of economic activity. Journal: Int. J. of Services, Economics and Management Pages: 102-120 Issue: 1 Volume: 17 Year: 2026 Keywords: security; digital enterprise transformation; banks; threat of military action; digital and financial technologies; social media; structured analysis and design technique; SADT. File-URL: http://www.inderscience.com/link.php?id=151942 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injsem:v:17:y:2026:i:1:p:102-120 Template-Type: ReDIF-Article 1.0 Author-Name: Veran Stančetić Author-X-Name-First: Veran Author-X-Name-Last: Stančetić Title: The main obstacles and chances to the introduction of innovative approaches and tools in the public administration of the Western Balkans countries Abstract: The purpose of this article is to answer the question of whether and to what extent public administrations in Western Balkans is innovative, and what are the main obstacles and opportunities in the way of their innovations. The article explains the terms innovation and innovative approaches in public administration and how they can be measured. The key hypothesis is that in Western Balkans countries, public administrations are weakly innovative and their organisational structure is obsolete. This is proven based on a small number of innovative approaches. The basic methods on which the work is based are literature review, document content analysis, observation, and case studies. Also, the article provides an in-depth analysis of the causes of the recognised problem. The results show that a significant factor in this situation is the dominant (ruling) parties on the political scene since they are not particularly interested in changes and true public administration reform. Another important factor of the stated situation is the absence of a knowledge society, i.e., the lack of networking of various social actors, the partiality of knowledge that societies have, and weak social capital. In the conclusion, guidelines are given to overcome the identified problems. Journal: Int. J. of Services, Economics and Management Pages: 165-180 Issue: 2 Volume: 17 Year: 2026 Keywords: public administration; public sector; IT; Serbia; Western Balkans. File-URL: http://www.inderscience.com/link.php?id=152441 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injsem:v:17:y:2026:i:2:p:165-180 Template-Type: ReDIF-Article 1.0 Author-Name: Khalidiya Mostafa Atta Author-X-Name-First: Khalidiya Mostafa Author-X-Name-Last: Atta Author-Name: Marwan Sabah Hasan Author-X-Name-First: Marwan Sabah Author-X-Name-Last: Hasan Author-Name: Zaid Yaseen Saud Author-X-Name-First: Zaid Yaseen Author-X-Name-Last: Saud Title: The role of cultural diversity and its impact on strategic performance through job embeddedness: an empirical study in Iraqi premium-class hotels Abstract: The study aims to fill the theoretical and practical gap of the mediating effect of job embeddedness on cultural diversity and the improvement of strategic performance through the development of a conceptual framework for Hofstede's model of cultural diversity dimensions (individualism/collectivism, indulgence/restraint, distance uncertainty avoidance, masculinity/femininity, and long/short-term orientation) along with strategic performance and job embeddedness as a mediating variable. The developed model has been tested through statistical tools Amos.v.23 and SPSS (v.25) to analyse data from 93 employees in several premium-class Iraqi hotels (Al-Mansour, Al-Rasheed and Babel). The results showed the mediating effect of job embeddedness in strengthening the relationship between cultural diversity and strategic performance. The developed model site (Hofstede model) aligns with job embeddedness in the hotel sector. Journal: Int. J. of Services, Economics and Management Pages: 121-146 Issue: 2 Volume: 17 Year: 2026 Keywords: balanced scorecard; Hofstede model; job embeddedness; strategic performance. File-URL: http://www.inderscience.com/link.php?id=152442 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injsem:v:17:y:2026:i:2:p:121-146 Template-Type: ReDIF-Article 1.0 Author-Name: Rohan Kunwar Author-X-Name-First: Rohan Author-X-Name-Last: Kunwar Author-Name: Krish Vora Author-X-Name-First: Krish Author-X-Name-Last: Vora Author-Name: Debi Prasad Bal Author-X-Name-First: Debi Prasad Author-X-Name-Last: Bal Title: Mixed strategy game theory and the Indian cotton industry Abstract: Two cotton mills in Coimbatore, Tamil Nadu, India, are analysed in this paper to determine their optimal strategy using mixed-strategy dynamic game theory. We used monthly data (2019-2022) on cotton prices. Our research demonstrates a cyclical character to the disparity in cotton prices indicated by two traders in 2019. In 2020 and 2021, however, the cyclical character is not seen because of extreme price volatility caused by the COVID-19 outbreak and consequent lockdowns; cycles are restored in 2022. The cyclical nature of the price difference plot is explained by applying mixed-strategy dynamic game theory to show the two traders modify prices. In 2019, (N<SUB align="right"><SMALL>X</SMALL></SUB>, N<SUB align="right"><SMALL>Y</SMALL></SUB>) equals (0.68, 0.77), the Nash equilibrium. So, in a mixed Nash Equilibrium, both merchants will benefit from selling cotton. Journal: Int. J. of Services, Economics and Management Pages: 204-220 Issue: 2 Volume: 17 Year: 2026 Keywords: cotton mills; mixed strategy; Nash equilibrium; and payoffs; India. File-URL: http://www.inderscience.com/link.php?id=152443 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injsem:v:17:y:2026:i:2:p:204-220 Template-Type: ReDIF-Article 1.0 Author-Name: Anindya Nag Author-X-Name-First: Anindya Author-X-Name-Last: Nag Author-Name: Md. Mehedi Hassan Author-X-Name-First: Md. Mehedi Author-X-Name-Last: Hassan Author-Name: Ayontika Das Author-X-Name-First: Ayontika Author-X-Name-Last: Das Author-Name: Anurag Sinha Author-X-Name-First: Anurag Author-X-Name-Last: Sinha Author-Name: Moupriya Das Author-X-Name-First: Moupriya Author-X-Name-Last: Das Author-Name: G. Madhukar Rao Author-X-Name-First: G. Madhukar Author-X-Name-Last: Rao Author-Name: Md. Shahin Ali Author-X-Name-First: Md. Shahin Author-X-Name-Last: Ali Author-Name: Chetna Kaushal Author-X-Name-First: Chetna Author-X-Name-Last: Kaushal Author-Name: Biresh Kumar Author-X-Name-First: Biresh Author-X-Name-Last: Kumar Author-Name: Neetu Singh Author-X-Name-First: Neetu Author-X-Name-Last: Singh Title: A comprehensive review of automated sarcasm detection techniques on Twitter Abstract: Automated sarcasm recognition is a valuable tool for analysing user sentiment on social media platforms like Twitter and Facebook. Sarcasm, a form of criticism, involves expressing thoughts contrary to the intended meaning, often as a means of insult or humour. Failing to recognise sarcasm can limit social and professional interactions. Our approach for sarcasm recognition utilises user embedding fitting, requiring only the user's previous text posts without complex feature engineering or simultaneous data harvesting. In comparison to a state-of-the-art strategy relying on an extensive attribute collection, our model demonstrates superior performance. We evaluated various classifiers, including ARABERT, SVM, LSTMs, CNN, and Pattern-based methods, on Twitter sarcasm detection. CNN achieved the highest accuracy at 95%, followed by LSTMs at 91.60%. Journal: Int. J. of Services, Economics and Management Pages: 181-203 Issue: 2 Volume: 17 Year: 2026 Keywords: social media; sarcasm detection; Twitter; automatic sarcasm detection; Twitter data collection. File-URL: http://www.inderscience.com/link.php?id=152444 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injsem:v:17:y:2026:i:2:p:181-203 Template-Type: ReDIF-Article 1.0 Author-Name: Shirin Nilian Author-X-Name-First: Shirin Author-X-Name-Last: Nilian Author-Name: Seyed Mehdi Mirmehdi Author-X-Name-First: Seyed Mehdi Author-X-Name-Last: Mirmehdi Author-Name: Mostafa Omidnezhad Author-X-Name-First: Mostafa Author-X-Name-Last: Omidnezhad Title: Investigating the effect of perception of corporate social responsibility on customer-company identification and resistance to negative information in banking sector Abstract: The concept of social responsibility has been a vital element in the communication between brands and stakeholders in the last decade. Large and reputable global organisations consider corporate social responsibility as part of their corporate strategy. The purpose of this study is to examine the effect of corporate social responsibility perception on customer-company identification and resistance to negative information. For this purpose, a survey is conducted based on the questionnaire method to collect data from a sample of 200 people who are customers of Bank Saderat branches in Hamadan. The present research is applied in terms of purpose and descriptive research in terms of data collection. A questionnaire was used to measure the research variables, which included three parts: perception of social responsibility, resistance to negative information, and customer-company identification. The reliability of the questionnaire was confirmed using Cronbach's alpha method and its validity was confirmed using convergent validity. Structural equation modelling is performed through Smart PLS software to analyse the data. According to research findings, at the 95% confidence level, perception of social responsibility has a positive and significant effect on resistance to negative information as well as customer-company identification. Journal: Int. J. of Services, Economics and Management Pages: 147-164 Issue: 2 Volume: 17 Year: 2026 Keywords: consumer-company identification; corporate social responsibility; resilience to negative information; perception. File-URL: http://www.inderscience.com/link.php?id=152445 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injsem:v:17:y:2026:i:2:p:147-164 Template-Type: ReDIF-Article 1.0 Author-Name: Zarina Adilkhanova Author-X-Name-First: Zarina Author-X-Name-Last: Adilkhanova Author-Name: Aibek Sagynayev Author-X-Name-First: Aibek Author-X-Name-Last: Sagynayev Author-Name: Azat Aituar Author-X-Name-First: Azat Author-X-Name-Last: Aituar Title: Sectoral total factor productivity and its determinants: firm-level evidence from Kazakhstan Abstract: This paper analyses total factor productivity (TFP) and domestic competition among firms in Kazakhstan. We show that TFP in many industries falls significantly from 2009 to 2017. At the same time, 3 to 10 of the largest firms occupy a significant market share in most industries, demonstrating the elements of oligopolistic competition. We estimate the impact of various financial indicators and variables, such as subsidies, R&&D, and transportation costs on firm-level TFP. The results show that increased investments, profits, wages, subsidies and the presence of employees under 30 years of age or with higher education have a significant positive effect on TFP. In addition, the uneven distribution of subsidies among firms also contributes to the development of a monopoly in the market. Statistics show that five companies in the market receive up to 80% of subsidies in manufacturing and agriculture, which aggravates the market power of these firms. Journal: Int. J. of Services, Economics and Management Pages: 221-242 Issue: 2 Volume: 17 Year: 2026 Keywords: total factor productivity; TFP; sectoral analysis; Herfindahl-Hirschman Index; HHI; concentration ratio; Kazakhstan. File-URL: http://www.inderscience.com/link.php?id=152455 File-Format: text/html File-Restriction: Open Access Handle: RePEc:ids:injsem:v:17:y:2026:i:2:p:221-242