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Consumers subscribe to different mindsets or implicit theories of personality malleability, namely, fixed and growth mindsets. This study aims to investigate how and why consumers’ mindsets can influence their word-of-mouth (WOM) intentions toward a brand and the consequent implications for a brand’s personality.

Three mall-intercept studies and one online study demonstrate the influence of consumers’ fixed and growth mindsets on their WOM intentions. The first two mall-intercept studies identify motivations underlying consumers’ WOM intentions as a function of their mindset orientations. The third mall-intercept study examines the implications of such mindset-oriented WOM intentions for a brand’s personality dimension and the underlying psychological mechanism. The fourth study tests the link between WOM intent and behavior.

Results show that fixed (growth) mindset individuals exhibit greater WOM intentions than growth (fixed) mindset individuals for motives of “impression management” (“learning and information acquisition”). Findings further demonstrate that brands that exhibit dual personality dimensions simultaneously, one salient and the other non-salient at any instant, garner equivalent WOM intentions from both fixed and growth mindset individuals, contingent on the fit between the salient brand personality dimension and the dominant consumer mindset. Finally, using a real brand, it can be seen that WOM intentions actually translate into behavior.

The study measures offline WOM intent but not offline WOM behavior.

This study sheds new light on branding strategy by demonstrating how and why dual-brand personalities may attract consumers with both kinds of implicit self-theory orientations. Relatedly, it also demonstrates a technique of framing ad-appeals that support the dual-brand personality effect.

To the best of the authors’ knowledge, this is the first study to propose and demonstrate the use of simultaneous dual-brand personalities as an optimal branding strategy.

Supplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green supply chain management (GSCM), it is somewhat surprising that very little research attention has been imparted to the development of a strategic sourcing model for GSCM. This research aims to develop a strategic sourcing framework in which supplier organizations are prioritized and ranked based on their GSCM performance. Accordingly, the benchmark organization is identified and its strategy is explored for GSCM performance improvement.

The research develops an innovative GSCM performance evaluation framework using six parameters, namely, investment in corporate social responsibility, investment in research and development, utilization of renewable energy, total energy consumption, total carbon-di-oxide emissions and total waste generation. An integrated multicriteria decision-making (MCDM) approach is proposed in which the entropy method calculates criteria weights. The Complex Proportional Assessment (COPRAS) and the Grey relational analysis (GRA) methods are used to rank supplier organizations based on their performance scores. A real-world case of green supplier selection (GSS) is considered in which five leading India-based automobile manufacturing organizations (Supplier 1, Supplier 2, Supplier 3, Supplier 4 and Supplier 5) are selected. Surveys with industry experts at the strategic, tactical, and operational levels are carried out to collect relevant data.

The results reveal that total carbon dioxide emission is the most influential parameter, as it gains the highest weight. On the contrary, investment in research and development, and total waste generation have no significant impact on GSCM performance. Results show that Supplier 5 secures the top rank. Hence, it is the benchmark organization.

The proposed methodology offers an easy and comprehensive approach to sourcing decisions in the field of GSCM. The entropy weight-based COPRAS and GRA methods offer an error-free channel of decision-making and can be proficiently used to outrank various industrial sectors based on their GSCM performances. This research is specific to the automobile manufacturing supply chain. Therefore, research outcomes may vary across supply chains with distinct characteristics.

The basic propositions of this research are based on a real-world case. Hence, the research findings are practically feasible. The less significant parameters identified in this study would enable managers to impart more attention to vulnerable areas for improvement. This research may help policymakers identify the influential parameters for effective GSCM implementation. As this research considers all aspects of sustainability, the strategies of the benchmark supplier have a direct impact on organizations' overall sustainability. The study would enable practitioners to make various strategies for GSCM performance improvement and to develop a cleaner production system.

The originality of this research lies in the consideration of both economic, social, environmental and operational aspects of sustainability for assessing the GSCM performance of supplier organizations. Quantitative criteria are considered so that vagueness can be removed from the decision. The use of an integrated grey-based approach for developing a strategic sourcing model is another unique feature of this study.

The prime objective of this paper is to design a green supply chain management (GSCM) framework to evaluate the performance of environmental-conscious suppliers using multi-criteria decision-making (MCDM) approach.

The literature survey reveals critical factors for implementing GSCM, adopted methodologies and the result obtained by several researchers. Data have been collected by conducting surveys and interviews with strategic-level personnel of five esteemed organizations in automobile manufacturing sectors. A GSCM framework is developed in which a mathematical tool entropy–the technique for order of preference by similarity to ideal solution (TOPSIS) has been used to analyze the six parameters of automobile manufacturing unit. Initially, entropy is used to find the weights of each of the parameters that influence the decision matrix of the TOPSIS method. Secondly, the proposed GSCM framework ranks the supplier. Finally, sensitivity analysis of the model satisfies the GSCM framework and benchmarked the supplier.

The result shows that “Total CO₂ emission” has an influential role for GSCM sustainability, and hence, firms should put more effort to reduce emissions to improve overall performance. Again, the parameters like investment in R&D and total waste generation may be ignored in the selection process. The result reveals the benchmarked supplier and its strategies for effective sourcing, which would have an indirect effect on organizations' overall sustainability.

This research entirely focuses on sustainability within supply chain considering economic, social and environmental paradigms. The mathematical modeling of the proposed work considers many influential parameters and provides an easy and comprehensive decision-making technique.

The methods may be adopted by the industries for sustainable supply chain management. This study benchmarks the supplier organizations and explores the adopted policies by benchmarked organizations. Other organizations should follow the policies followed by benchmarked organization for enhancing environmental, social and economic performance. Organizations striving for sustainable development can adopt this framework for evaluation of supplier performance and benchmark with better accuracy.

The design of the GSCM framework explores both the qualitative and quantitative data based on environmental, social and economic parameters simultaneously in the evaluation of environmentally conscious suppliers. The research also investigates the constraints of the system to implement the GSCM in automobile manufacturing unit. Additionally, the sensitivity analysis justifies the benchmarked supplier and the adopted strategies to be followed by other manufacturing unit.

The case tells the story of a first generation entrepreneur, Dhirendra Singh, and his struggle for 15 years to establish a mango pulp based beverage marketing company without any external support and funding. The case highlights the travails that Dhirendra goes through in marketing an undifferentiated product, a mango drink. He survives, largely due to his grit and some lucky breaks, until an external funding agency notices him 15 years after he started his journey.

With growth and stability (in 2017, it was the fourth largest packaged beverage in India) come new issues for the enterprise to grapple with. The case leaves the reader to reflect upon these challenges that the company encounters. Can the company overcome these hurdles and thrive? How, is the question that remains unanswered.

Lack of understanding around mental illness and stigma are an overwhelming barrier in help-seeking behaviour for mental health concerns. The purpose of this paper is to examine mental health literacy and social attitudes as instrumental factors in building capacity of the demand-side to support and access mental health care at the community level in India.

Knowledge, Attitude and Practice surveys were administered to 521 persons from the general population, distributed equally in the age range of 15-60 years. The study included 52 respondents per district from ten districts across five states in India, namely Andhra Pradesh, Assam, Delhi, Gujarat and Uttar Pradesh. The responses were collected and analysed thematically, keeping in mind the relevance of these findings as contributors to knowledge of mental health and to the construct of stigma.

Pervasive socio-cultural factors, especially stigma inhibit access to basic mental health information and care, despite knowledge that mental illness is treatable. Degrading treatment, loss of personal liberty and social exclusion, i.e. compromised human rights at the community level are widespread. Self-reported attitudes when encountering a person with mental illness show that respondents act out of fear and are guided by misinformation and myths. Extant knowledge on mental health is attributed predominantly to informal networks, as a potential resource to be strengthened.

Realising mental health care, including help-seeking behaviour calls for greater knowledge-sharing, sensitisation and community engagement.

This paper fulfils an identified need to study current levels of mental health literacy and underlying perceptions that contribute to the persistent treatment gap.