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Fashion brands are one of the strongest means of expressing consumers identity. This study explores and empirically validates the concepts of brand love and hate for masstige fashion brands from the purview of emerging markets. This study deciphers three components of masstige fashion brand promise through the lens of hedonic identity, uniqueness and expected social gains for the affluent middle-class consumers. The model is complemented by the impact of environmental and society’s well-being.

Empirical evidence was obtained through an online survey in India. Total of 222 complete responses were used to test hypotheses by fitting a model with the partial least squares algorithm.

Fashion brand love is triggered by consumers’ hedonic identity and expected social gains. Brand hate is fuelled by environmental and societal well-being concerns, expected social gains and uniqueness. Theoretical contribution is threefold: First, the relevance of social and environmental consequences reflecting consumers’ accepted responsibility for their masstige consumption is introduced. Second, the study deciphers the emotions related to masstige brand love and brand hate for emerging market’s affluent middle-class. Third, empirical results contribute to the ongoing discussion on whether brand hate and love are two distinct concepts or collapse to be two extremes of one and the same continuum.

Middle-class consumers in India are strict in their avoidance and rejection of the lower classes’ preferred fashion brands. Targeting must consider the social classes hierarchy. Marketing-mix design, particularly prices and distribution networks, need to enable a distinction between the social classes.

Masstige fashion brand love and hate turn out to be two distinct constructs that co-exist rather than being two extremes of one and the same dimension.

Indian middle-class consumers satisfy their need of environmental and social caretaking by avoidance and brand hate but continue to choose masstige brands to demonstrate social status and are not modernizing their traditional accumulative materialism.

Employing the “Job demands-resources (JD-R)” framework, this study examines the impact of co-occurring social supports (supervisor, coworker, and family support) on the telework environment and employee engagement.

The study uses a multimethod approach. Data from 294 employees belonging to Indian technology organizations were collected and analyzed using the partial least squares (PLS)-based structure equation modeling software SmartPLS4. Following this, necessary condition analysis (NCA) was carried out using the NCA package for R.

Telework environment was found to mediate the relationship between social support and work engagement. Supervisor support and instrumental family support were identified as predictors as well as necessary conditions for telework environment. Coworker support was identified both as a predictor and necessary condition for telework environment. Although emotional family support was found to be a predictor of telework environment, it was not identified as a necessary condition.

The findings indicate that coworker support and family instrumental support are as important for telework success as supervisor support. Moreover, our findings suggest that varying levels of telework environments (low, moderate, and high) may necessitate distinct social support configurations. Consequently, organizations should match their social support configuration to match their overall teleworking strategy.

A basic premise of the JD-R framework is that resources exist in caravans (bundles). However, previous research (in telework) has concentrated on only one or two kinds of social support, that too in varying situational contexts, limiting generalizability of the findings. This has also produced inconsistent conclusions concerning the role of support providers such as coworkers and family. Recent developments in JD-R also suggest that the role of resources may vary in terms of their importance (necessity) for work engagement. By augmenting standard regression-based techniques with NCA, the authors explore these issues to provide a more thorough understanding of the influence of social supports on work engagement in telework situations.

Despite the extensive benefits of human resource (HR) analytics, the intention to adopt such technology is still a matter of concern in the engineering and construction sectors. This study aims to examine the slow adoption of HR analytics among HR professionals in the engineering and construction sector.

A cross-sectional online survey including 376 HR executives working in Indian-based engineering and construction firms was conducted. Hierarchal regression, structural equation modeling and artificial neural networks (ANN) were applied to evaluate the relative importance of HR analytics predictors.

The results reveal that hedonic motivation (HM), data availability (DA) and performance expectancy (PE) influence the behavioral intention (BI) to use HR analytics, whereas effort expectancy (EE), quantitative self-efficacy (QSE), habit (HA) and social influence (SI) act as barriers to its adoption. Moreover, PE was the most influential predictor of BI.

Based on the findings of this study, engineering and construction industry managers can formulate strategies for the implementation and promotion of HR analytics to enhance organizational performance.

This study draws attention to evidence-based decision-making, emphasizing barriers to the adoption of HR analytics. This study also emphasizes the concept of DA and QSE to enhance adoption among HR professionals, specifically in the engineering and construction industry.

Responding to the radical changes in work practices and extensive virtual forms of interaction brought by COVID-19, this study aims to investigate the role played by authentic leadership and horizontal collectivism in helping the Indian startups sail through the pandemic.

Data was gathered through standardized questionnaires from 300 leaders and 300 employees from Indian startups during the second phase of lockdown. Statistical analysis using AMOS 23.0 checks for the direct effect of authentic leadership on work engagement and the moderating effect of horizontal collectivism on the relationship between the two. This study also compares the results between self-ascribed and perceived authentic leadership.

Statistical analysis using AMOS 23.0 was done to check for the direct effect of authentic leadership on work engagement and the moderating effect of horizontal collectivism on the relationship between authentic leadership and work engagement. This study also compared the results between self-ascribed and perceived authentic leadership.

To the best of the authors’ knowledge, this is the first study that explores the role of authentic leadership in unlocking work engagement among employees serving in Indian startups during the pandemic. The lesson learned from this is when employees perceived their leaders to be authentic, the work culture to be nonhierarchical and felt collective responsibility toward work, it unlocked their high potential and made them soulfully engaged in their work.

This study aims to provide a causal framework for teacher burnout (BO) and work engagement (WE) by examining the factors that contribute to it and evaluating how progressive education (PE) affects teachers' performance in Higher education institutions (HEIs).

This study uses a multi-stage sampling technique with the help of computer random generation data from a selected list of teachers. The survey has two sections; the first consisted of a questionnaire of PE, BO, WE and organizational outcomes and the second contained four items to measure the demographic variables. The researcher contacted 745 teachers and asked them to fill up the questionnaire but the authors received only 498 useable responses.

The results of the study confirmed that moderating role PE reduces the BO of the teachers of HEIs and increases WE. The job demand-resource (JD-R) model was also validated in the Indian context and the model was found suitable for the Indian sample.

The study has been conducted to manage BO and teachers' engagement in HEIs and the result suggests that the Management of HEIs should value PE characteristics as a crucial component of the educational process. PE encourages academic engagement among professors and students in HEIs.

The study tests the moderating role of PE with the JD-R and the JD-R model in the higher education system in India, which is rarely tested. The study's integrated approach to BO and WE, which provide insight into both viewpoints and aids in employees' poor health.

The purpose of this paper is twofold: first is to map and analyse prominent contributions, current dynamics, patterns, gaps and research prospects in the field of workplace incivility (WI); second is to provide a coherent theoretical research framework for future research.

This study adopts a two-step analysis approach by combining bibliometric analysis and systematic literature review to explore the research topic of WI, besides, using multiple methodologies including bibliometric, network and content analyses.

This study found that L. M. Cortina and M. S. Hershcovis are the top two most influential authors among all authors in the sample publications. Journal of Occupational Health Psychology is one of the top-ranking journal that often publishes this topic of articles. USA and The Bowling Green State University are the most influential country and institutions, respectively. Besides, burnout and retention are also common keywords were identified based on keywords co-occurrence map, showing that WI has a major impact on burnout and employee retention. Based on the above analysis, this paper constructed a theoretical research framework of WI.

This paper only draw data from one database—Scopus—which cannot provide broad coverage of the research topic. WI research trends and trajectories may be assessed to enable academics and practitioners better understand the current and future trends and research directions. Future studies in this field might use the findings as a starting point to highlight the nature of the topic.

This study is the first to use an systematic literature review (SLR) to evaluate the association between WI and other organizational behaviour. The study contributions are fourfold, extending the work and overcoming the methodologies of prior research that only focussed on characteristics of incivility in nursing. In addition, this paper presents an in-depth analysis of this topic and provides a comprehensive theoretical research framework for future study.

The primary purpose of this study is to examine the factors leading to shopping cart abandonment and construct a model depicting interrelationship among them using interpretive structural modeling (ISM) and Matriced Impact Croises Multiplication Appliquee an un Classement (MICMAC).

Initially, 20 factors leading to shopping cart abandonment were extracted through a systematic literature review and expert opinions. Fifteen factors were finalized using the importance index and CIMTC method, for which consistency has been checked in SPSS software through a statistical reliability test. Finally, ISM and MICMAC approach is used to develop a model depicting the contextual relationship among finalized factors of shopping cart abandonment.

The ISM model depicts a technical glitch (SC8), cash on delivery not available (SC4), bad checkout interface (SC9), just browsing (SC11), and lack of physical examination (SC12) are drivers or independent factors. Additionally, four quadrants have been formulated in MICMAC analysis based on their dependency and driving power. This facilitates technical managers of e-commerce companies to focus more on factors leading to shopping cart abandonment according to their dependency and driving power.

Taking an expert’s opinion as a base may affect the results of the study due to biases based on subjectivity.

This study’s outcomes would accommodate practitioners, researchers, and multinational or national companies to indulge in e-commerce to anticipate factors restricting the general public from online shopping.

For the successful running of an e-commerce business and to retain the confidence of e-shoppers, every e-commerce company must make a strategy for controlling factors leading to shopping cart abandonment at the initial stage. So, this paper attempts to highlight the main factors leading to shopping cart abandonment and interrelate them using ISM and MICMAC approaches. It provides a clear path to technical heads, researchers, and consultants for handling these shopping cart abandonment factors.

Utilising componential theory of creativity the study aims to examines the roles of green transformational leadership, organizational culture and green mindfulness as antecedents of green creativity.

A three-wave data collection method was used to collect data from the 304 hotel employees belonging to hotels located in the tourist’s location of India. The study used PROCESS macro to test the hypothesized model.

The results found a significant serial mediating effect of green organizational culture and green mindfulness for strengthening the association between green transformational leadership and green creativity.

The study establishes that a transformational leadership can bring about a much-needed green turnaround and thus makes significant practical contribution. As customers are becoming environmentally conscious, the industry can translate the green practices and motivate their subordinates by exhibiting the environmentally conscious behaviour and exhibit the same in their actions at work.

The current research work expands the body of literature on green transformational leadership and green creativity nexus in tourism and hospitality industry by exploring the boundary condition that increases the strength of this relationship.

This study aims to focus on understanding the work–family conflict of Indian women engineers through the lens of identity conflict.

Semi-structured interviews conducted with 20 Indian women engineers working in India and abroad of varying ages and work experience helped in understanding the types, sources and coping decisions about work–family conflicts experienced by them. Thematic analysis was conducted to analyse the qualitative data.

The findings reveal that as women engineers negotiate their “engineering” and “woman” identities, work–family conflict manifests as a battle of time and responsibilities, psychological strain and behaviour-based conflict. Furthermore, self-expectations and negative social sanctions play an important role in augmenting the experiences of these conflicts. The results also reveal how women re-strategize their career decisions to conciliate their conflicting identities.

This study furthers the literature on resolving work–family conflict by taking an identity perspective. Recommendations in literature such as work flexibility and part-time work, place the onus on women to increase their capacities to perform different roles better. Examining work–family conflict from an identity perspective allows us to look at the psychological processes underlying the challenges women face in balancing work and home in a male-dominated profession. These give insights into the need to go beyond accommodations in the workplace to redefine gender roles and relations for equal participation of women in the modern workforce.

Entrepreneurship represents a complex decision-making process capable of influencing the conditions of a socio-economic system. For this reason, stimulating entrepreneurship is a topic that has always fascinated scholars and attracted the attention of public policy makers. This study, from the perspective of the theory of planned behaviour (TPB), aims to contribute to the analysis of entrepreneurial intention (EI) in university students. Factors such as entrepreneurship education (EE), mediation of personal attitude (PA), perceived behavioural control (PBC), EI, regulatory support (RS) and opportunity recognition (OR) for university students.

Research data was collected using a questionnaire, and a cross-sectional sample was selected from senior business and engineering students who are most likely to participate in entrepreneurial activities. The survey was conducted in the Delhi NCR region. 240 students were interviewed. Partial least square structural equation modelling using SmartPLS-4 was used to test the explanatory and predictive power of the proposed model.

The results of this study offer interesting contributions to the academic debate. First, EE has a significant impact on PA, PBC and entrepreneurial intentionality. Second, PBC, recognition of opportunities and EI have a significant impact on entrepreneurial education. Finally, PA and PBC significantly mediate the “entrepreneurial education – entrepreneurial intention” relationship.

Interesting elements of originality are offered by this study. First, entrepreneurship is studied as a decision-making process influenced by intentions and not behaviours. Second, the authors limited the efforts to unraveling the effect of the five variables on the formation of EI. Finally, the large size of the sample allows the authors to obtain significant results, directing future studies to other territorial contexts. Additionally, incorporating some control variables, such as gender and family background, would explore the relationship between the model variables more meaningfully.