International Journal of Management Practice (17 papers in press)

Regular Issues

• Interpersonal transgressions and well-being in the gig economy: the buffering role of recovery among delivery workers  
  by A.K. Subramani, N. Akbar Jan, Sode Raghavendra, Ashok Kumar Goute 
  Abstract: This research aimed to study the moderating effect of recovery (RY) experiences on the relationship between interpersonal transgressions (IT) and well-being (WE) of delivery riders in the gig economy. The primary data of the research was made of 474 delivery riders across India by adopting cross-sectional research design using SmartPLS-SEM software. The outer model confirmed the reliability and validity and the inner model revealed a significant and negative relationship between IT and WE. RY experiences had a positive direct impact on WE and mediated the relationship between transgressions and WE in a complex way. Specifically, RY practices reduced the negative effect of transgressions under some conditions, and increased the influence of transgressions under high levels of RY. These findings add to the stress-RY and gig economy literature by highlighting the dual role of RY in the determination of worker outcomes.
  Keywords: transgression; well-being; recovery; gig economy; delivery workers.
  DOI: 10.1504/IJMP.2026.10075504
   
  
• Harnessing AI-driven CRM to mitigate the impact of generational transitions on customer relationships and knowledge transfer in family SMEs.  
  by Chifae El Hail, Mustapha El Koraichi  
  Abstract: This study explores the strategic role of artificial intelligence (AI) in preserving customer relationships and organisational knowledge during generational transitions in family-owned SMEs. It examines how AI-driven CRM tools such as predictive CRM, chatbots, and sentiment analysis help mitigate succession challenges while maintaining the unique relational and cultural continuity of family businesses. Using an integrative framework combining the resource-based view, technology acceptance model, and knowledge management theory, the research analyses resource optimisation, technology adoption, and tacit knowledge transfer. An in-depth case study reveals that predictive CRM enhances decision-making, chatbots improve efficiency, and sentiment analysis strengthens customer engagement. However, it highlights AIs limitations in preserving informal practices and cultural values central to family businesses. The study emphasises the need for a balanced approach integrating technological innovation with family heritage and recommends training, technical support, and fostering acceptance among stakeholders. The findings may inform practices in family-run businesses operating in emerging contexts.
  Keywords: AI-CRM; succession; family business; tacit knowledge; technological innovation; sentiment analysis; predictive CRM.
  DOI: 10.1504/IJMP.2027.10075768
   
  
• Emotional labour and organisational commitment among nurses: the mediating role of perceived organisational support in the Indian context  
  by N. Akbar Jan, A.K. Subramani, Anjali Rai, Ashok Kumar Goute 
  Abstract: The researchers examined the correlations between emotional labour (EL), perceived organisational support (POS), and organisational commitment (OC) among Indian registered nurses. It also focuses on the mediating role of POS in the association between EL and OC. A cross-sectional quantitative survey design was used. Data were collected from 364 registered nurses working in public and private healthcare institutions in India. The structural equation model demonstrated that EL had a significant amount of predictability over POS (β = 0.891) and OC (β = 0.228). POS was also a good predictor of OC β= 0.713). As established by the mediation analysis, POS mediated part of the connection between EL and OC (indirect effect = 0.636). These findings directly align with SDG 8 (decent work and economic growth) by highlighting how POS strengthens OC and well-being, thereby promoting healthy, supportive, and sustainable working conditions for nurses.
  Keywords: decent work; wellbeing; perceived organisational support; POS; emotional labour; organisational commitment; nurses; India.
  DOI: 10.1504/IJMP.2026.10075992
   
  
• When despotic leaders prompt cooperation: the strategic use of communion striving amid job insecurity  
  by Muhammad Qasim, Yuxin Liu, Azhar Hussain 
  Abstract: Despite extensive evidence on the detrimental effects of despotic leadership, less is known about when and why employees might respond with constructive, relationally motivated behaviours. Integrating Conservation of resources (COR) theory with emerging views on affiliative coping, we theorise that despotic leadership may paradoxically elicit prosocial behaviour by triggering communion striving, a relational goal orientation aimed at restoring belonging and interpersonal safety. Importantly, we argue that this indirect pathway is contingent upon job insecurity, which heightens the perceived threat of resource loss and intensifies affiliative motivation. Across a three-wave field study of 495 employees in China. We found support for a moderated mediation model: despotic leadership indirectly increases prosocial behaviour via communion striving, with this effect amplified under high job insecurity. These findings challenge the unidimensional view of toxic leadership as purely destructive and illuminate the strategic, context-sensitive ways employees cope under threat. Implications for leadership theory, motivation science, and workplace well-being are discussed.
  Keywords: despotic leadership; prosocial behaviour; communion striving; job insecurity; conservation of resources theory.
  DOI: 10.1504/IJMP.2026.10076189
   
  
• Critical factors influencing academic stress on B-school students: a structural equation modelling approach  
  by Kanagaluru Sai Kumar, Kota Sreenivasa Murthy 
  Abstract: The purpose of this study is to examine the critical factors that influence stress among students pursuing post-graduate management courses. A convenient sampling technique has been used and data were collected from students studying in different management institutes located in and around Chennai. A conceptual model was developed based on the previous literature and expert opinions. The PLS-SEM technique was applied for model validation and data analysis. The study investigates the significant positive relationships between students future anxiety, the complexity of management education (CME), course related challenges, assessment and evaluation techniques (AET), personal problems, and poor academic conditions (PAC) with academic stress. The results reveal that future anxiety has a strong influence on the academic stress of the students followed by course-related challenges (CRC) and assessment and evaluation techniques. The study also revealed that poor academic conditions have the least impact on academic stress followed by personal problems of the students and the complexity of management education. Academic stress has been shown to be a critical issue for students. Hence, there is a need to formulate effective strategies to mitigate its effects.
  Keywords: academic stress; assessment and evaluation techniques; AET; course related challenges; future anxiety; management program.
  DOI: 10.1504/IJMP.2026.10076306
   
  
• Moderated mediation analysis: green supply chain management practices and environmental performance  
  by Mohitul Ameen Ahmed Mustafi, Ya-Juan Dong, Md Rubel Ahmed 
  Abstract: This study examines green supply chain management practices (GSCMPs) as an independent construct, green knowledge sharing (GKS), supply chain leadership skills (SCLS), and environmental performance (EP) in Bangladesh’s manufacturing sector. It evaluates the strength of these associations, tests GKS as a mediator linking GSCMPs to improved EP, and examines whether SCLS moderates the GKS-EP relationship within GSCMP contexts. Using a structured survey with 26 validated items, data were collected from 556 respondents across 56 manufacturing firms in selected Asian economies, including Bangladesh. Structural equation modelling (SEM) tested direct, mediating, and moderating links. Results show significant positive relationships among GSCMPs, GKS, and EP. GKS partially mediates the GSCMPs-EP relationship, amplifying environmental benefits. The GKS-EP link is stronger when supported by sustained green practices and leadership skills. The study offers a moderated mediation model and practical guidance for regulators and industry leaders.
  Keywords: green supply chain management practices; GSCMPs; green knowledge sharing; GKS; supply chain leadership skills; SCLS; environmental performance; EP; manufacturing firm; Bangladesh.
  DOI: 10.1504/IJMP.2026.10077336
   
  
• Investigating the effects of total rewards, needs satisfaction, and attitude towards money on employee retention: a structural equation modelling inquiry  
  by Sanober Khan, Richa Agarwal, Pritesh Shukla, Uttara Jangbahadur 
  Abstract: This research uses need satisfaction to explore the link between total rewards (TRs) and employee retention (ER). Also, it addresses how attitude towards money moderates the link between needs satisfaction and ER. A representative sample of Indian organisations was used to analyse the links between the constructs using structural equation modelling (SEM). The results showed that needs satisfaction significantly mediates the relationship between TRs and ER, while attitude towards money do not significantly moderate the relationship between needs satisfaction and ER. Hence, these results present a novel strategy for organisations to convert employees desire to leave into a want to remain by utilising TRs and needs satisfaction for autonomy, competence, and relatedness. A potential avenue for future research involves examining the impact of individual components of TRs on psychological needs satisfaction to gain useful insights into their individual contributions.
  Keywords: total rewards; needs satisfaction; employee retention; attitude towards money; Indian organisations; structural equation modelling; SEM.
  DOI: 10.1504/IJMP.2026.10077521
   
  
• An integrated perspective on brand orientation and market orientation: the role of marketing communications in building brand equity in FMCG firms  
  by A. K. Subramani, M. Vijayalakshmi , J. Hasine  
  Abstract: The integration of marketing communication in the fast-moving consumer goods (FMCG) sector helps balance brand and market orientation to significantly improve brand equity through higher integrated marketing communication (IMC). This study examined market and brand orientations, IMC, and brand equity in the FMCG sector. A survey of marketing professionals working in the lower to middle-level positions of 40 FMCG companies in Chennai was conducted. Of the 600 questionnaires distributed, 418 valid responses were received. The conceptual model was analysed using AMOS through structural equation modelling (SEM). The findings establish that both market and brand orientations positively impact IMC which in turn drastically improves brand equity. Moreover, IMC as a powerful mediating process is also functioning where the dual-orientation approach (market and brand) influences brand equity. When practitioners concentrate on both the market and brand scenarios, the importance of integrated marketing drives evident advantages to brand value.
  Keywords: market orientation; brand orientation; integrated marketing communications; IMCs; brand equity; fast-moving consumer goods; FMCG.
  DOI: 10.1504/IJMP.2027.10077586
   
  
• Understanding antecedents of tourist visit behaviour to address over-tourism and promote sustainable tourism in Bali  
  by Keni Keni, Nicholas Wilson, Joyce Angelique Turangan 
  Abstract: This study examines the impact of attitudes toward over-tourism, attitudes toward Bali Island, subjective norms, and perceived behavioural control on travellers’ trust and their subsequent intention to visit Bali. Moreover, by integrating the theory of planned behaviour (TPB) with the stimulus-organism-response (S-O-R) framework, the research conceptualises trust as a mediating variable between these factors and behavioural intention. A quantitative method was employed, utilising structured online questionnaires administered to Indonesian respondents who had visited Bali at least once in the past year and were knowledgeable about over-tourism, generating 204 usable responses. The data were analysed using SmartPLS 4. The results demonstrate that attitudes toward over-tourism, attitudes toward Bali, subjective norms, and perceived behavioural control significantly affect trust, which subsequently exerts a substantial effect on visit intention. Trust also fully mediates the relationship between these antecedents and intention. Notably, attitudes toward over-tourism are a more powerful predictor of trust and intention.
  Keywords: attitude toward over-tourism and toward the destination; subjective norms; perceived behavioural control; trust; visit intention.
  DOI: 10.1504/IJMP.2026.10077829
   
  
• Consumer culture orientation and advertisement effectiveness: a serial mediation analysis of visual arts elements, emotional response, and attitude towards the advertisement  
  by P. Vijayalakshmi, B.N. Suresh Kumar 
  Abstract: The purpose of this paper is to explore the role of consumer culture orientation (CCO) in a series of mediation of visual arts elements (VAE), emotional response (ER), and attitude towards the advertisement (ATA) in advertisement effectiveness (AE). The research design used was a quantitative, cross-sectional research design and 354 adult consumers were surveyed (i.e., aged 18 years and above) through a structured questionnaire. The measurement and structural models were evaluated by the use of the Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings revealed that CCO has substantial direct effect on AE and has substantial indirect effect on AE via all the three mediating variables viz. VAE (β = 0.119), ER (β = 0.076) and ATA (β = 0.144) on AE. The study article contributes to the research literature in advertising by integrating cultural orientation, visual design and emotional mechanism in a one-dimensional model and offers suitable implications to marketers on how to design culturally appealing yet emotionally connecting advertisements.
  Keywords: consumer culture orientation; CCO; visual arts elements; VAE; emotional response; attitude towards the advertisement; ATA; advertisement effectiveness; PLS-SEM.
  DOI: 10.1504/IJMP.2027.10078012
   
  
• Green marketing mix: a systematic review of extant literature  
  by Fatema Al Maqbali, Sabhaa Ali Salim Al-Serihi , Zainab Ali Mohammed Al-Balushi, Rakesh Belwal 
  Abstract: The increasing focus on sustainability, demonstrated by the widespread use of green marketing, raises important questions for scholars regarding the historical development, methodologies, concepts, and limitations. The review provides valuable insights into current understandings of green marketing and sustainability. It aims to identify existing knowledge and areas requiring further investigation, aiding researchers in prioritising and exploring these gaps. The paper traces the concepts, definitions, and discussions on progress in green marketing using publications in ProQuest and Sage journals from 2011 to 2020. It comprises five parts, begins with an introduction, proceeds to the methodology section, and then moves on to data analysis before delving into the discussion. Finally, it concludes by outlining future research directions. The study found a surge in green marketing publications, peaking in 2016. However, a universal definition of green marketing remains elusive. Limited research on ‘green price’ and ‘green place’ indicates a need for further study.
  Keywords: green marketing mix; sustainability; green product; green price; green place; green promotion.
  DOI: 10.1504/IJMP.2026.10078335
   
  
• Digital green leadership and organisational sustainability: the mediating role of employee green behaviour and the moderating influence of digital platforms in the IT industry  
  by G. Suresh , A. Gajendran  
  Abstract: This research analyses the effect of digital green leadership (DGL) on organisational sustainability (OS) within the IT industry with a mediating variable of employee green behaviour (EGB) and a moderating variable of digital platforms (DP). The quantitative design was adopted to gather data on 236 IT professionals and analyse the data by utilising the Partial Least Squares Structural Equation Modelling (PLS-SEM). The results show that DGL has a substantial positive effect on OS both directly and indirectly via EGB, which implies that leadership programs increase employee-initiated green activities that lead to sustainable performance. Furthermore, DP is a major moderator of the DGL-OS relationship, which specifies that the use of digital technologies enhances the role of leadership in terms of its sustainability outcomes. This research supports to the literature body in that it connects the concepts of digital leadership and sustainability behaviour via a technology-mediated pathway.
  Keywords: digital green leadership; DGL; organisational sustainability; OS; digital platforms; DP; employee green behaviour; EGB; information technology; IT.
  DOI: 10.1504/IJMP.2027.10078482
   
  
• Decoding user intent: funnel-based analysis of organic search snippets in financial services  
  by Mohit Agrawal, Nusrat Khan, Fehmina Khalique 
  Abstract: This study examines how consumer intent is expressed through online search behaviour, reflecting a structured decision-making process across product categories and journey stages. It analyses 342 search queries and 14,000 search fragments from Google’s programmable search engine (PSE) to uncover location-based linguistic patterns tied to awareness, consideration, and purchase intent. Using the term frequency-inverse document frequency (TF-IDF) method, key terms and linguistic variations were identified across stages, offering deeper insights into user intent beyond automated analytics. Chi-square tests confirmed significant differences in language across categories and stages, highlighting structured intent rather than random variation. The findings show that linguistic cues effectively indicate users’ positions in the decision journey, providing marketers and analysts with a scalable approach to interpret customer intent from public search data. Future research could employ advanced natural language processing (NLP) models or examine real-time search dynamics for richer insights.
  Keywords: consumer intent modelling; organic search snippets; marketing funnel stages; semantic text analysis; customer journey stages.
  DOI: 10.1504/IJMP.2027.10078701
   
  
• Toward an information processing model of ambidexterity and new product development: the curvilinear effect of team conflict  
  by Ying-Kai Liao, Thi-Yen Do, Minh-Quan Vu, Shannon Chin-Yu Chou 
  Abstract: New product development (NPD) has been applied in various industries in the competitive environment, and it is also an important stage for long-term operation of companies to enhance NPD performance and product development efficiency. The objective of this study is to find the interrelationships among latent variables of NPD, and to investigate the curvilinear effect of team conflict. Two hundred and seventy-seven survey data were collected from NPD leaders or members, and these data were performed and employed by SPSS and partial least squares structural equation modelling (PLS-SEM). This study found that team reflexivity on team unlearning, team information processing, and ambidexterity has significant influence, and team unlearning has marginal significant effect on team information processing. Moreover, ambidexterity has a significant effect on both team information processing and NPD performance respectively, and team information processing also has positive effects on NPD performance. Finally, there is a significant curvilinear moderating effect of team conflict on NPD performance. Since previous studies did not develop a comprehensive model to integrate relevant research construct, the results of this study have provided a significant contribution for both academics and managers to investigate the ways to promote NPD performance.
  Keywords: team reflexivity; team unlearning; team information processing; ambidexterity; team conflict.
  DOI: 10.1504/IJMP.2026.10075686
   
  
• Empowering leadership and employee innovative behaviour  
  by Roopal Shrivastava, Dastan Nasim 
  Abstract: In today's competitive landscape, employees must embody traits like creativity, innovation, and a willingness to share knowledge to propel their firms toward success amid fierce business rivalry. A research endeavour was undertaken to delve into the impact of empowering leadership, work engagement, and knowledge sharing on employee innovation within organisations. Additionally, it sought to uncover how empowering leadership and work engagement influence employees' propensity to share knowledge. This study collected data from 151 participants employed at two prominent companies in the Iraqi Kurdistan Region, namely Asia Cell and Qaiwan Companies. The gathered information underwent thorough analysis utilising SPSS software, employing regression and correlation tests to derive meaningful insights. The study's outcomes highlighted the positive correlation between empowering leadership and knowledge sharing, both of which significantly bolstered employees' innovative behaviour within organisations. Surprisingly, work engagement did not exhibit a substantial impact on innovative behaviour. Conversely, the research revealed that employees' level of work engagement notably affected their inclination to share knowledge. However, contrary to initial expectations, empowering leadership did not exhibit a tangible effect on employees' knowledge-sharing behaviour within organisations and firms.
  Keywords: empowering leadership; innovative behaviour; knowledge sharing; work engagement.
  DOI: 10.1504/IJMP.2026.10076264
   
  
• Validation of three-path mediation modelling of service quality and behavioural intention relationship in retail banking  
  by Manish Kumar Yadav, Vandana Pareek, Alok Kumar Rai 
  Abstract: Customers have been engaging and represent one of the complex components of business. To comprehend and decode customers is a demanding yet significant task. Modern marketing has been hugely emphasising retaining customers (Reichheld and Sasser, 1990) for which positive behavioural intention formation is a must (Ahmad et al., 2020). Several authors and researchers have established the link between the variables of service quality (SQ), customer perceived value (CPV), customer satisfaction (CS), and behavioural intention (BI) with different permutations and combinations in banking and other service sectors, however, a study considering all the above four variables simultaneously is not established. Yadav et al. (2014) explored the relationships among the above-mentioned four variables but did not provide empirical evidence. The present paper attempts to validate the relationship among the above-laid constructs in the context of retail banking.
  Keywords: service quality; SQ; customer perceived value; CPV; customer satisfaction; CS; behavioural intention; BI; three-path mediation model.
  DOI: 10.1504/IJMP.2026.10076467
   
  
• Optimising employee performance prediction using machine learning with genetic algorithm-based feature selection  
  by Tawfeeq M. Alsobaey, Faisal Q. Alkhateeb 
  Abstract: Performance prediction is now a fundamental aspect of business operations for any organisation. This has a direct impact on growth and success in the competitive global market. In this regard, this paper sets out to improve the accuracy of employee performance prediction by integrating genetic algorithms for feature selection with a powerful set of machine-learning models. The following five classifiers were applied: gradient boosting, XGBoost, random forest, K-nearest neighbours (KNN) and support vector machine (SVM). The study revealed that the random forest model exhibited the highest precision, with a set of features optimised through genetic algorithms achieving 98.1%. This was followed by XGBoost with 97.14%. The following factors were identified as being significant in terms of employee satisfaction: employee environment satisfaction, employee last salary hike percentage, training times last year, employee work-life balance, and years since last promotion. These features were crucial in assessing the overall predictive power of the various models. This study introduces a new approach to predicting employee performance, showcasing the effectiveness of combining genetic algorithms with machine learning classifiers in feature selection. The optimised models provide organisations with practical insight, enabling them to devise targeted interventions and more effective performance management systems.
  Keywords: employee performance; machine learning; evolutionary algorithms; genetic algorithm; feature selection.
  DOI: 10.1504/IJMP.2026.10076132