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Despite a growing interest in investigating green skepticism, there has been a paucity of effort in synthesizing green skepticism research. This study aims to synthesize extant green skepticism research. This study is useful in providing a comprehensive synthesis of research on green skepticism and identifying key gaps in the existing literature, thereby paving the way for future research directions. This research demonstrates a comprehensive understanding of the dominant theories, contexts (i.e. countries), characteristics (i.e. key variables and their associations) and methods (i.e. research design) employed in green skepticism research.

A hybrid review method that combined an Systematic Literature Review (SLR) with lexicometric analysis was employed to present a comprehensive synthesis of the green skepticism literature.

The findings showed that many theories have been applied to green skepticism research with the theory of planned behavior and attribution theory being prominently used. The review also proposes a conceptual framework that illustrates the relationships between antecedents and consequences reported in the green skepticism literature. Lexicometric analysis identified six major themes in green skepticism research, including trust in green products, product-related attributes, environmental attributes, social responsibility, organic consumption and promotional campaigns.

This review included only papers authored in English. Consequently, studies conducted in other languages were not taken into account. Future research could broaden the understanding of green skepticism by incorporating studies conducted in different languages.

This study provides practical implications for retailers, marketers and policymakers to combat green skepticism and encourage the purchase of green items. This study suggests integrating endorsements from authorized third-party organizations or celebrities into green marketing campaigns to reduce skepticism. Further, aligning corporate social responsibility efforts with genuine social welfare goals can build consumer trust. Finally, securing third-party endorsements for ecological claims will emphasize product credibility and drive green purchase intention.

To the authors’ knowledge, this study represents the first attempt to review the extant literature in green skepticism by integrating a systematic review approach, lexicometric analysis and the Theory-Context-Characteristics-Methodology framework. Through this approach, (1) SLR provides a detailed synthesis of green skepticism research to date, (2) Lexicometric analysis aids in the identification of key themes investigated in green skepticism research to date, and (3) the TCCM framework assists in identifying crucial avenues for future research endeavors in the realm of green skepticism.

This paper aims to investigate the effect of spiritual intelligence on the quality of work life (QWL) of college teachers. Besides this, the mediating impact of psychological capital on improving their QWL and moderating effect of gender has also been examined in the study.

Variance-based structural equation modelling is used for testing the proposed structural model with a sample of 451 college teachers.

The findings of the study reveal that QWL is positively influenced by spiritual intelligence. Moreover, QWL can be augmented with the presence of psychological capital. Nevertheless, there exist no gender differences with respect to the relationships of the study.

The study holds implications for the teachers and educational institutions as they can prepare themselves to cope up with the stressful events and experience a good QWL.

A teacher’s role is said to be instrumental in bringing about a holistic development in pupil’s personality by instilling right value system in him/her. Nevertheless, such role of the teachers can only be justified if the teachers are equipped with higher levels of spiritual intelligence and are psychologically more active and satisfied with their work life.

To the best of the authors’ knowledge, this study is the first of its kind that makes an incremental contribution to the QWL literature by exploring a partial mediating role of psychological capital on the relationship between spiritual intelligence and QWL.

Based on the job demands–resources (JD-R) model, this study aims to answer a key research question, i.e. can the job characteristics (i.e. job demands and resources) affect intention to retire early? Additionally, a mediating effect of emotional exhaustion and organizational commitment on the relationships of job demands and job resources, respectively, with early retirement intentions has been explored in the study.

The data has been collected from survey of 450 employees from the banking sector in the state of Punjab (India). A structured questionnaire adapted from past literature has been used as survey instrument for the study. Partial least squares structural equation modelling has been applied in the study using latest version of SmartPLS (version 3.2.8) software.

Both job resources and job demands have a direct significant impact on early retirement intentions. Moreover, a significant partial mediation effect of emotional exhaustion and affective organizational commitment has also been found out on the relationship of job demands and job resources with early retirement intentions, respectively.

The study makes incremental contribution by highlighting the role of both deterrent and motivational factors that either instigate or discourage early retirement intentions among employees. It offers valuable insights for the organizations to use efforts for curtailing the excessive job demands that lead to emotional exhaustion and further result in early retirement intentions. Besides this, adequate job resources should be provided to the employees that lead to the development of affective organizational commitment, which further helps in sustaining the workforce until their actual retirement age.

The purpose of this study is to examine relationship between numerous factors (fashion orientation, conspicuous consumption and environmental consciousness) that influence fast fashion (FF) purchase intention and their impact on FF purchase behavior and exploring the moderating effect of sustainable clothing consumption attitude.

This study uses quantitative analysis approach, wherein data have been collected from 571 college students by using non-probability snowball sampling. Partial least square structural equation modeling (PLS-SEM) has been applied to analyze the relationships among variables.

Determinants fashion orientation and conspicuous consumption have substantial impact on the desire to buy FF, which has strong association with FF purchasing behavior. Environmental awareness, contrarily, has detrimental impact on FF purchasing intentions. Furthermore, sustainable clothing consumption attitude significantly moderates FF intention–behavior relationship.

Findings may be viewed as a driving course in textile and garment sector for entrepreneurs as they represent customers’ intents and behavior in connection to the adoption of FF. Strategists can understand the product’s lifecycle; marketers can define innovative ways of marketing, advertising and promotion; start-ups can look for opportunities in sustainable fashion industry by innovating, manufacturing and dealing in eco-friendly sustainable products; and policymakers can make suitable policies to create awareness regarding sustainable fashion.

To the best of the authors’ knowledge, there is no study that comprehensively deals with defining, structuring and validating factors affecting purchase intention and behavior in case of fashion industry, accompanied by the role of sustainable consumption attitude as a moderator between FF intention and behavior, in a single model.

This study aims to test the serial mediation effect of attitude toward socially responsible investing (SRI) and social investing efficacy (SIE) on the relationship of knowledge about SRI with the intention to invest in SRI along with moderating effect of religiosity.

The study uses a quantitative analysis approach, wherein the data has been collected from 569 north Indian retail investors. Partial least square (PLS)-structural equation modeling has been applied in this study using the latest version of SmartPLS (v. 3.2.8) software to examine the complex model of serial and moderated mediation.

Attitude toward SRI and SIE significantly and serially mediate the relationship between knowledge about SRI and intention to invest in SRI. Also, the interaction effect of religiosity with knowledge about SRI is significant only for SIE and not for attitude toward SRI.

The study is cross-sectional in nature conducted only on the north Indian investors. Besides knowledge, there can be many other personal or social aspects that might affect SRI intention that have not been taken into the study.

The results suggested that the companies, financial advisors and governmental bodies can improvise upon social and environmental performance reporting so that investment in SRI can be promulgated.

The paper concludes that religious-minded people are more open to the idea of investing in SRI. India, being is a religious-minded country, the results of this study suggest that there is good potential for the development of SRI in India.

Empirical evidence regarding the relationship of SRI intention with its determinants is limited in Asian countries. Prior literature mainly provides evidence from developed countries where social and governance systems are comparatively stronger. The study provides evidence for the bright future of SRI in India, where investor’s beliefs are dominated by their religious values.

The present study attempts to analyze if personal values, namely collectivism, materialism and environment attitude, have an impact on attitude to invest in socially responsible investments (SRIs). Second, it examines the impact of attitude on SRI intention which may further be moderated by religiosity beliefs. Third, the moderated relation is further tested separately for two groups of gender.

The study uses cross-sectional data collected from 534 north Indian retail investors. PLS–SEM has been applied in this study using the latest version of SmartPLS (v. 3.2.9) software to examine the complex model of moderation analysis.

The results of PLS–SEM suggested that collectivism, materialism and environment attitude significantly influenced attitude which further led to SRI intention. The moderating role of religiosity was found to be significant on the attitude–intention relationship. Further, a significantly higher moderation of religiosity was found in females as compared to males.

Besides collectivism, materialism and environmental attitude, there could be other facets of an investor's personality that were not considered in the study. The present research was conducted in India, and Hofstede (1980) calls Indian culture to be collectivistic in nature, where the influence of pro-social and environmental concern on SRI intention is bound to be high; thus, findings need to be tested further at the global level.

Companies and financial institutions can enlarge their investor base for socially responsible products by propagating tailor-made financial products that can keep the personal values of investors intact in addition to providing satisfactory financial returns. Female investors can be encouraged to invest in SRI by promulgating the aspects of morality and ethics in their marketing and promotion strategies; eventually, this will lead to an upsurge in the proportion of female investors in financial markets.

The present study contributes to the growing body of research in the area of sustainable investments. This research has contributed to building and testing a moderation analysis of attitude–intention relationship with respect to SRI by adding investor's religiosity beliefs and his/her gender as moderating variables to better comprehend the relationships under study.

Over the last few decades, there has been a substantial increase in environmentally conscious consumers' willingness to switch their preferences from mainstream products to green products. Hence, it becomes essential for academicians and marketers to understand the notion, attributes and a comprehensive profile of green consumers. Since consumer attitude towards green products is not widely studied in developing countries, the present study aims at exploring the profile of green consumers in India (Punjab State) based on the same in the Indian context.

The study used the survey method, and a sample of 400 respondents was selected from the Punjab State of India. Initially, principal component analysis was employed to reduce the dimensions. Following this, cluster analysis was applied to segment consumer market in distinctive segments. Results of cluster analysis were validated with discriminant analysis and finally, differences amongst the segments of green and non-green consumers were examined to build on the profile of green consumers.

The study segmented the consumer market based on consumer attitude towards green products. Results of the study revealed four distinct segments. “Dynamic Green”, the largest cluster, presents truly green consumers who exhibit a positive attitude towards green products. Finally, the study highlighted the attitudinal profile of green and non-green consumers and differences amongst the segments were explained.

Similar study should be conducted in other developing/developed countries. Furthermore, cross-cultural studies can be undertaken to contrast consumer attitude towards green products. The study may also be extended to probe the connection between consumers' attitude and actual behaviour towards green products.

The study examined the role of consumer attitude towards green products in identifying the distinct segment of green consumers and determining different configurations of consumer characteristics to build on the profile of green consumers.

The purpose of this paper is to critically examine the existing literature on sustainable investments and propose an integrated conceptual framework for measuring socially responsible investment intention of investors.

Based on the theory of planned behaviour, the study discusses an integrated conceptual framework by thoroughly analysing the empirical studies of last 18 years, from 2001 to 2018. Some of the important measures of these studies have been reviewed, such as country of study, research methodology applied, sample size and respondents selected, model/theory applied, variables selected and significant findings of the study.

The study posits that collectivism, knowledge about sustainable investment, pro-environmental attitude and perceived risk will have a positive impact on attitude (ATT) towards SRI. Moreover, attitude (ATT) and subjective norms (SN) will be positively related to intention (INT) along with the mediating effect of social investing efficacy (SIE) and moderating effects of religiosity beliefs.

Besides implications for financial managers, various government bodies, prospective investors and other stakeholders, the study will provide impetus to companies for designing more sustainable funds that can promulgate the values and beliefs of investors.

The study incrementally contributes to the literature by way of suggesting a conceptual framework that can be empirically tested by future researchers.

Advancement in technology has increased the use of social media among Internet users. People are on social media all day and brands cannot miss this opportunity to turn these users into potential customers. The purpose of this research paper is to identify the prominent social media platforms in Indian beauty and wellness industry and to establish dimensions of social media activities.

This is a qualitative study in which in-depth interviews were conducted with owners and managers of beauty and wellness centres, who use social media for promotion of their business.

This study establishes 5M's of social media activities (Motives, Media, Management, Merits and Metrics) that play a major role in social media promotion. It also identifies that Facebook and Instagram are prominent social media platforms for this industry, followed by Snapchat, YouTube and LinkedIn.

Being a qualitative study, it is exploratory in nature and confined to beauty and wellness centres only, thus, findings cannot be generalised. Research implication is that social media still preserves its popularity over traditional media for marketing purposes.

The results of the study are useful for business owners, promoters and marketers, who are struggling to effectively use this low-cost marketing tool.

The result of the study are useful in providing awareness and the importance of social media in promoting benefits to the society.

Social media is extensively used for promotion of beauty services but there are very few theoretical studies on the same. This paper provides rich understanding about how to use social media effectively using 5M's.

In online social network analysis, the problem of identification and ranking of influential nodes based on their prominence has attracted immense attention from researchers and practitioners. Identification and ranking of influential nodes is a challenging problem using Twitter, as data contains heterogeneous features such as tweets, likes, mentions and retweets. The purpose of this paper is to perform correlation between various features, evaluation metrics, approaches and results to validate selection of features as well as results. In addition, the paper uses well-known techniques to find topical authority and sentiments of influential nodes that help smart city governance and to make importance decisions while understanding the various perceptions of relevant influential nodes.

The tweets fetched using Twitter API are stored in Neo4j to generate graph-based relationships between various features of Twitter data such as followers, mentions and retweets. In this paper, consensus approach based on Twitter data using heterogeneous features has been proposed based on various features such as like, mentions and retweets to generate individual list of top-k influential nodes based on each features.

The heterogeneous features are meant for integrating to accomplish identification and ranking tasks with low computational complexity, i.e. O(n), which is suitable for large-scale online social network with better accuracy than baselines.

Identified influential nodes can act as source in making public decisions and their opinion give insights to urban governance bodies such as municipal corporation as well as similar organization responsible for smart urban governance and smart city development.