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This study aims to investigate the impact of a salesperson’s psychological capital (PsyCap) on sales performance through the interplay of work engagement and performance feedback. This study examines the role of thought self-leadership (TSL) as an antecedent of a salesperson’s PsyCap.

Grounded in the social cognitive theory and job demands–resources theory, a hypothesized model is proposed. To test the hypothesized model, data on sales professionals were collected from B2B sales organizations, and a structural equation model was used to test the hypotheses.

The results demonstrate that TSL drives PsyCap in salespeople. The results also suggest an interesting relationship between salesperson’s PsyCap and their sales performance through work engagement as a mediator for PsyCap and sales performance. The moderating effect of performance feedback on work engagement was not significant and thus counterintuitive.

The results suggest that organizations should invest in training to develop the TSL of their salesforce, which will lead to enhanced performance through personal resources such as PsyCap. Further, the findings have implications for sales organization designs and structure.

This study augments the extant information on the linkage between a salesperson’s PsyCap and sales performance by suggesting mediation mechanisms and proposing an integrated framework with work engagement. Further, the authors establish TSL as an important cognitive mechanism to strengthen PsyCap in salespeople.

The main impetus of the current paper is to identify and prioritize the work–family balance (WFB) satisfaction attributes specifically for working sole mothers' by deploying the Kano technique and weighted average method.

A multi-stage methodology has been used in the present analysis. Initially, the Kano method has been utilized to categorize the WFB satisfaction attributes using a three-dimensional WFB satisfaction scale. Afterward, the satisfaction coefficient technique was employed on Kano outcomes to get the WFB satisfaction and dissatisfaction index. Subsequently, the weighted average method was employed to prioritize the WFB satisfaction attributes.

Findings uncovered the significance of a non-linear association between WFB attributes and employed sole mothers' WFB satisfaction. The findings revealed that one-dimensional and must-be-based WFB satisfaction attributes are responsible for sole mothers' WFB satisfaction and employing organizations must not overlook them. Additionally, the results of weighted average method-based prioritization can help organizations to focus on particular WFB satisfaction criteria according to their priority level.

The findings are useful for WFB policy-makers and managers to formulate a suitable WFB strategy specifically for single mothers.

Results provide a path for employers to minimize the work–family role conflict and societal dissatisfaction that helps sole mothers to attain the desired WFB.

This study first employed a novel approach that incorporates the Kano application with the weighted average method in order to prioritize the WFB satisfaction attributes for lone mothers.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0074

The present paper aims to propose a framework on weather index insurance (WII) service design by using quality function deployment (QFD).

This study utilizes QFD technique to propose a customer oriented framework on WII service design. In initial phase, customer and design requirements were gathered to derive the relationship between customers' and managers' voice for construct the house of quality (HOQ). Later on, prioritized customer and design requirements as QFD outcome were utilized to develop the action plan matrix in order to suggest the future action plans.

This study proposed a customer centric framework on WII service design to address the customer requirements. Findings show that adequate claim payments, hassle free prompt claim payment and transparency in losses computation are prioritized customer requirements with highest importance rating, whereas, accurate claim estimation, claim management system and advancement of technology are prioritized service design necessities with highest importance rating.

The proposed WII service design can enhance the quality of WII service by attain the higher standards of WII service in order to completely satisfy the customers.

The proposed WII service design can provide a solution to the problems faced by WII industry by improve the customer's service experience and satisfaction.

Based on best of author's knowledge, this paper first proposed a framework on WII service design by integrating customer and design requirements by using QFD.

This study intends to recognize and prioritize the work-family balance (WFB) enablers for working sole mothers by employing total interpretive structural modelling (TISM) and “Matrice-d’impacts-croisés-multiplication-appliqués-à-un-classment” method (MICMAC).

This paper utilizes the integrated approach in two stages. In initial stage, strategic literature review and expert mining technique have been conducted to recognize and validate WFB enablers. In subsequent stage, TISM has been applied to observe the contextual relationships among WFB enablers in the direction to construct a TISM-based structural model. Furthermore, MICMAC technique has been employed to categorize the WFB enablers based on their driver and dependence power.

This paper has identified novel 13 key enablers of WFB among working sole mothers and constructed a unique TISM-based hierarchical model. Moreover, WFB enablers have been categorized into four clusters using MICMAC analysis. In the developed TISM model, working sole mother-related WFB personal enablers are primarily at the upper level, family-related WFB enablers are in the center and work-related WFB enablers are in the lowest level.

The developed framework on WFB enablers among working sole mothers can provide a resolution to difficulties faced by sole mothers in managing WFB by providing a pathway to enhance their performance by improving the organizational effectiveness through improving WFB policies.

Based on the best of authors' awareness, this study first incorporates the TISM-MICMAC technique to recognize and prioritize the WFB enablers for working sole mothers.

This study intends to identify, prioritize and rank the enablers for organizational work–family balance (WFB) planning specifically for working sole mothers by employing the fuzzy Delphi and analytical hierarchy process (AHP) method.

This paper utilizes the integrated methodology in two steps. Initially, a broad literature review and the fuzzy Delphi method have been utilized to recognize and validate the key WFB enablers. Afterward, the AHP approach has been applied to prioritize and detect the relative importance and rank of identified WFB enablers.

This paper has identified 9 WFB sub-enablers for working sole mothers under work, family and personal enablers. The work enablers obtain the first rank based on the highest importance weight followed by personal and family enablers. The findings indicate the top five sub-enablers: organizational work–family culture, work from arrangements, emotional intelligence, flexible work schedule and family support.

The findings offer prioritized areas of concern to the human resource managers and administrators to manage these WFB enablers as per their priority in the direction to formulate the organizational WFB policy-planning specifically for sole mothers.

The prioritized WFB enablers amongst working sole mothers may help sole mothers to manage their social, family and work-related roles in a more effective manner.

Based on the best of the authors' considerations, this study firstly incorporates the fuzzy Delphi-AHP method to prioritize and rank the WFB enablers to organizational WFB planning for sole mothers.

Reverse mentoring though widely discussed and adopted in practice, scholarly research on the same is scarce. This paper thus attempts to provide an overview of the extant literature and highlights the developments taking place in the practical arena so as to reveal the research-practice gap and identify new avenues with respect to the expanding role of reverse mentoring.

This paper is based on the review of important developments in research and practice related to reverse mentoring.

Despite the multi-faceted benefits of reverse mentoring observed by practitioners, the academic literature is not only scarce but also confined to its vignettes and anecdotes. This review highlights how reverse mentoring has much more to offer than being just a tech-savvy tool.

This review calls for abandoning the single-faceted outlook (of a tech-savvy tool) towards reverse mentoring by exploring the concept from a broader lens.

The insights covered in the review highlight the expanding scope of reverse mentoring and present future pathways both for researchers and practitioners. It inspires the readers to re-visit the concept and explore how it can deliver valuable outcomes especially with regards to the multi-generational workforce.

The purpose of the present paper is to review studies on weather index-insurance as a tool to manage the climate change impact risk on farmers and to explore the study gaps in the currently existing literature by using a systematic literature review.

This study analyzed and reviewed the 374 articles on weather index insurance (WII) based on a systematic literature search on Web of Science and Scopus databases by using the systematic literature review method.

WII studies shifted their focus on growing and emerging areas of climate change impact risk. The finding shows that the impact of climate change risk significantly influenced the viability of WII in terms of pricing and design of WII. Therefore, the cost of WII premium increases due to the uncertainty of climate change impact that enhances the probability of losses related to insured weather risks. However, WII has emerged as a risk management tool of climate insurance for vulnerable agrarian communities. The efficacy of WII has been significantly influenced by repetitive environmental disasters and climate change phenomena.

This study will be valuable for scholars to recognize the missing and emerging themes in WII.

This study will help the policy planners to understand the influence of climate change impact on WII viability.

This study is the original work of the author. An attempt has been made in the present study to systematically examine the viability of WII for insuring the climate change risk.

The purpose of this study is to explore and prioritize the barriers that affect weather index-insurance (WII) adoption among customers by utilizing interpretive structural modelling (ISM) and fuzzy-MICMAC.

This paper utilized the combined approach in two phases. In first phase comprehensive literature study and expert mining method have been performed to identify and validate WII adoption barriers. In second phase, ISM has been utilized to examine the direct relationships among WII adoption barriers in order to develop a structural model. Further, fuzzy-MICMAC method has been utilized to analyse indirect relationships among barriers to explore dependence and driver power.

This study has identified 15 key barriers of WII adoption among customers and developed a structural model based on binary direct relationship using ISM. Later, the outcomes of ISM model have been utilized for analysing the dependence and driver power of each WII adoption barriers in cluster form using fuzzy-MICMAC. The customer awareness related WII adoption barrier are mainly at the top level, WII demand related barriers are in the centre and WII supply related barriers at the bottom level in ISM model.

The findings offered important insights for WII insurers to understand mutual relationships amongst WII adoption barriers and assists in developing strategy to eliminate dominant key barriers in order to enhance their customer base.

Based on best of author's knowledge this paper firstly integrates the ISM fuzzy-MICMAC method into identification and prioritization of barriers that affects WII adoption among customers.

Agriculture insurance is the panacea for the farming community. Many policy interventions were implemented for stimulating agriculture insurance access to farmers in India. However, access to agriculture insurance constantly remained one of the major challenges to Indian policy planners. The goal of the present paper is to explore current policy interventions in the area of agriculture insurance in India.

The present paper reviews and analyzes the evidence literature through a content analysis method on development and performance analysis perspective of existing agriculture insurance schemes in India.

Agriculture insurance is a significant risk management policy, but this is not easily reachable to the majority of farmers in India. The government of India introduces a novel agriculture scheme every decade, but every crop insurance scheme was inconsistent and ineffective owing to operational defects. Agriculture insurance in India is still developing in terms of coverage, scope, and exposure, but farmers' dissatisfaction about agriculture insurance turned out to be a negative word of mouth. Insurance illiteracy and farmers' preference for agriculture relief payments are the main reasons for limited access to agriculture insurance. The current crop insurance schemes are improperly operated because of implementation issues at the state level.

This paper will be useful for researchers and academicians to analyze the past and present status of crop insurance in India.

The paper is the unique work of the authors as it has attempted to present India's journey with agriculture insurance. An effort is made in the present study to provide a comprehensive and holistic developmental and performance analysis perspective of agriculture insurance in India.

The use of electric vehicles has received popularity as alternative fuel vehicles to reduce greenhouse gas emissions and energy cost, which are expected to perform a crucial role in the near future of emerging mobility markets. The purpose of this empirical study is to analyse the role of electric vehicle knowledge in predicting consumer adoption intention directly and indirectly in the backdrop of an emerging market.

The study approached an extended version of “Technology acceptance model” (TAM) based on the integrated framework of “knowledge-beliefs-intention”. The model was tested via direct and indirect path analyses with the data collected from Indian respondents using an online survey.

The results indicate the robustness of the present research model, which shows that consumer adoption is significantly driven by electric vehicle knowledge, perceived usefulness, perceived ease of use and perceived risk. Electric vehicle knowledge has emerged as the most powerful cognitive measure, which directly affects the adoption intention along with the measures of “TAM”. Additionally, this also poses a higher indirect effect on adoption intention in the integrated model.

The study has focused on potential young and educated consumers, which may not be warranted to generalise the research findings, while youth or millennials are more receptive to adopt innovative and clean technology products like electric vehicle. Based on the findings, implications are offered for encouraging electric vehicles in the backdrop of emerging automobile markets.

Concerning this cognitive phenomenon of knowledge, scant literature has been explored the role of subjective knowledge in consumer adoption for electric vehicles, particularly in the emerging markets like India. Thus, the present study analyses how consumers' knowledge about electric vehicle affects their decision to adopt this in the near future of Indian zero-emission mobility market.