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The study is designed to investigate whether women’s entrepreneurial success is affected by their emotional intelligence. It also investigates the mediating role of innovativeness in influencing the relationship of their emotional intelligence with entrepreneurial success.

Using a cross-sectional design, this study used a structured questionnaire to gather data from 274 women entrepreneurs spanning across various industries in north India. The data collected was analysed using the partial least squares structured equation modelling (PLS-SEM) technique.

The findings demonstrate a notable and positive association between emotional intelligence and the entrepreneurial success of women. Additionally, innovativeness was found to partially mediate the relationship between emotional intelligence and entrepreneurial success. Entrepreneurial experience moderates the relationship between emotional intelligence and entrepreneurial success. Furthermore, age was not observed to moderate the connection between emotional intelligence and entrepreneurial success.

This study provides valuable insights for female entrepreneurs seeking to achieve success by harnessing their emotional intelligence and fostering innovativeness in their entrepreneurial pursuits. The study mainly provides evidence on the conclusive role of emotional intelligence among women entrepreneurs in their success in the relatively underresearched context of India, thereby consolidating knowledge on gendered entrepreneurship.

The purpose of this paper is to understand the extent to which green involvement (GI) can affect employee perception of corporate social responsibility (CSR), with the intervening role of green training (GT).

The sample for the study was collected from employees working in tourist hotels. Exploratory factor analysis and confirmatory factor analysis was conducted to assess the fit of the hypothesized model, and hierarchical regression analysis to test the hypothesis.

The results showed that GI of employees has a positive and significant relationship with their perception of CSR. The study further revealed that when there is an increase in GT, the relationship between GI and perception of CSR gets more positive.

It adds value to the ongoing research in the field of environment, training and CSR. The findings will be helpful for policy makers and researchers in the field of stakeholder management.

Purpose: Green consumerism is on the rise in the 21st century, impelling businesses to prioritise environmental awareness and expand eco-products to keep up with the growing demand. This research examines how social media (SM) and moral obligations (MO) affect consumer views and their propensity to make eco-friendly choices.

Methodology: Data were gathered from 508 participants using an adaptive questionnaire. The proposed model was tested using ‘structural equation modelling’.

Findings: The results show that electronic word-of-mouth (EWOM) and the intent to acquire green goods favourably impact consumer behaviour. MO positively influences attitudes and intentions to make green purchases (GPI), with attitudes acting as a mediator between MO and GPI.

Implications: This research is of utmost importance for marketers wanting to enhance their SM communication strategies to influence consumers’ opinions of green products and raise the possibility that they would make environmentally conscious purchases.

The students should be able to understand the potential and competitive advantage of community-based business model. The students should be able to familiarise themselves with the concept of entrepreneurship through acquisitions. The students should be able to decide when a firm should use acquisition as a key driver coupled with fewer efforts on organic growth or vice-versa. The student should be able to evaluate the success or failure acquisition as a growth strategy. The student should be able to evaluate the key metrics and other variables in the acquisition of target companies. The students should be able to wear the shoes of the protagonist and resolve the dilemma.

The teaching case looks at the dilemma of Sairee Chahal. Chahal is the founder of SHEROES, an online community for women. SHEROES started as an online career ecosystem for women. As time progressed Chahal witnessed conversations beyond career and moved towards women-centric themes. Chahal decided to pivot it into an online community for women. Her growth strategy for SHEROES has primarily been driven by serial acquisitions coupled with dispersed efforts on organic growth. In the meanwhile, Chahal had harboured an ambition to bring 100 million users to SHEROES by the year 2024. In a period spanning from 2016–2020, SHEROES acquired six niche women-centric companies. SHEROES grew to be a community of 1 million users to 20+million women users by 2020. On the other hand, the industry leader, Mogul used a diametrical approach to grow the platform into 30+million users by 2020. It had primarily used organic growth strategies such as content development, designing courses, referrals and many more. However, Chahal found herself in a dilemma when a reporter posed a question to Chahal. Chahal’s growth strategy depended on acquisitions, coupled with less effort in organic growth. Conversely, Mogul grew primarily via organic growth strategies. The reporter’s question forced her to question and revisit her growth strategies. She wondered if a target of 100 million users could be achieved with the acquisition as a major driver and less effort invested in organic growth or whether it might be better to make organic growth the key growth strategy while pushing acquisitions to the back seat. The uniqueness of the case lies in the female protagonist who is trying to build a larger-than-life community primarily via acquisitions with little effort on organic growth. Such a phenomenon has rarely been explored in teaching cases. The case is based on secondary data and the information is available in the public domain.

The case is designed for post-graduate students in the entrepreneurship curriculum. Within entrepreneurship, it is well-suited for use in specialised courses on “growth of an entrepreneurial venture” or “entrepreneurial strategies”. An instructor may take it up in the middle of the module as students would have familiarised themselves with various growth strategies. An instructor may use the case for a very niche course such as entrepreneurship through acquisition. An instructor may take it up as an introductory case in such a course. It can also be used in the executive programme aimed at “women entrepreneurship”, “community-based model” and “serial acquisitions” to teach how women or founders create and grow entrepreneurial ventures with acquisitions or communities as their focal tenet. The case has been tested in the authors’ post-graduate student’s entrepreneurship course. An instructor can use it when the instructor wants to discuss the various growth strategies available to an entrepreneurial firm.

Teaching Notes are available for educators only.

CSS 3: Entrepreneurship.

One of the major objectives of India's National Auto Policy (NAP) (2018) is to help the country emerge as a hub for automotive production and research and development (R&D). In order to fulfill this long-term objective, two policies had been proposed by NAP (2018). First, possibility of exploring regional trade agreements (RTAs) with leading countries, having attractive markets for Indian players, was considered. Second, the policy aimed to evaluate the potential implications of joining the United Nations Economic Commission for Europe (UNECE) WP.29 1958 agreement within the next 5 years for tackling the potential major technical barriers to trade (TBT), as India's current accession in UNECE WP.29 1998 agreement may not be sufficient for ensuring mutual recognition of standards in many of the partner countries. India is presently engaged in RTA negotiations with several developed and developing countries, with potentially beneficial repercussions for automobile exports. However, the question of accession to UNECE WP.29 1958 agreement has not received similar attention of late, which may restrain the anticipated sectoral export growth, particularly through RTA-led market access outcomes. Given this background, the current analysis considers India's potential sectoral trade growth with eight partner countries, in the case of RTA-led tariff reforms, through a WITS-SMART simulation exercise. The obtained simulation results indicate that India needs to focus on the technical standard harmonization question for reaping the full benefits arising from tariff reforms in several upcoming RTAs, for boosting auto-exports in the post-RTA period.

This article undertakes a literature review on showrooming, offering an exhaustive overview of research publications and future research objectives that will contribute to extending the understanding of the phenomenon.

The showrooming literature has been collected from journals indexed by SCOPUS and ranked by ABDC. This was later analysed with the SPAR-4-SLR framework and the TCCM methodology (theories, contexts, characteristics, and methodologies) proposed by Paul et al. (2021) and Paul and Rosado-Serrano (2019).

The insights of this review include bibliometrics of showrooming research and the number of explored showrooming theories, methodologies, and contexts from which the phenomenon has been studied. It also highlights the various aspects that might be considered while building an optimal approach.

Articles published in SCOPUS-indexed and ABDC-ranked journals between 2012 and August 2022 were considered. Some articles published in conference proceedings and journals, not fulfilling the aforementioned criteria, might have been missed.

SPAR-4-SLR and TCCM methodologies would aid the researchers in further exploration of this phenomenon and suggest options for enhancing customer experience (CX) eventually leading to customer retention. Retail channel managers will find this knowledge handy in “encouraging loyal showrooming” and ensuring business sustainability.

This study uses the novel SPAR-4-SLR framework to structure the review, while TCCM methodology sheds light on the showrooming from the perspective of various theories, contexts, characteristics, and methodologies. The scope for further research identified through the above-mentioned framework and methodology would be of high value to the researchers and practitioners alike.

Despite the availability of new buyers and the possibility to receive higher prices, still large numbers of smallholder farmers do not participate in the modern supply chains. This study aims to understand the factors that affect smallholder farmers' participation in a newly emerging modern supply chain context.

Data were collected from 6 focus groups of farmers (67 farmers in total) and 14 interviews with market actors and key informants such as government officials and donor organisations.

Influential factors of farmers' participation in the modern chain include buyer attributes and transaction conditions. High prices and prompt payment are the key motivators, with the main inhibitors being personal relationships with buyers and strict market requirements related to quality and quantity supplied.

In order to encourage smallholder farmer participation in modern chains, an expansion of the marketing of high-quality vegetables by implementing quality control mechanisms and the encouragement to adopt safe marketing practices is needed. These results are particularly relevant for practitioners and policymakers.

Most research to date concentrates on farmers' socioeconomic characteristics and are based in countries with advanced modern chains, and rarely focus on farmer participation in countries where modern chains are relatively new. This study addresses this gap by analysing farmer preferences to engage in the context of a country experiencing the emergence of trade through modern vegetable supply chain system.

This study aims to examine the current state of academic research pertaining to the role played by artificial intelligence (AI) in the achievement of a critical sustainable development goal (SDG) – poverty alleviation and describe the field’s development by identifying themes, trends, roadblocks and promising areas for the future.

The authors analysed a corpus of 253 studies collected from the Scopus database to examine the current state of the academic literature using bibliometric methods.

This paper identifies and analyses key trends in the evolution of this domain. Further, the paper distils the extant literature to unpack the intermediary mechanisms through which AI and related technologies help tackle the critical global issue of poverty.

The corpus of literature used for the analysis is limited to English language studies from the Scopus database. The paper contributes to the extant research on AI for social good, and more broadly to the research on the value of emerging technologies such as AI.

Policymakers and government agencies will get an understanding of how technological interventions such as AI can help achieve critical SDGs such as poverty alleviation (SDG-1).

The primary focus of this paper is on the role of AI-related technological interventions to achieve a significant social objective – poverty alleviation.

To the best of the authors’ knowledge, this is the first study to conduct a comprehensive bibliometric analysis of a critical research domain such as AI and poverty alleviation.

This study aims to provide a systematic review of the existing literature on the applications of deep learning (DL) in hospitality, tourism and travel as well as an agenda for future research.

Covering a five-year time span (2017–2021), this study systematically reviews journal articles archived in four academic databases: Emerald Insight, Springer, Wiley Online Library and ScienceDirect. All 159 articles reviewed were characterised using six attributes: publisher, year of publication, country studied, type of value created, application area and future suggestions (and/or limitations).

Five application areas and six challenge areas are identified, which characterise the application of DL in hospitality, tourism and travel. In addition, it is observed that DL is mainly used to develop novel models that are creating business value by forecasting (or projecting) some parameter(s) and promoting better offerings to tourists.

Although a few prior papers have provided a literature review of artificial intelligence in tourism and hospitality, none have drilled-down to the specific area of DL applications within the context of hospitality, tourism and travel.

To the best of the authors’ knowledge, this paper represents the first theoretical review of academic research on DL applications in hospitality, tourism and travel. An integrated framework is proposed to expose future research trajectories wherein scholars can contribute significant value. The exploration of the DL literature has significant implications for industry and practice, given that this, as far as the authors know, is the first systematic review of existing literature in this research area.