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The purpose of this paper is to investigate the integrated role of psychological, economic and environmental determinants of entrepreneurial intention among tribal community.

This study applied the utility maximisation approach to model the determinants of entrepreneurial intention (EI) among tribal youth. Using a non-linear qualitative response model, the study examined the effects of psychological, economic and environmental determinants tribal youth entrepreneurship intention. A total of 363 tribal youths were sampled across the eastern central region of India.

The result from the use of a logit model revealed strong evidence in favour of economic and contextual factors in comparison to psychological factors as determinants of EI among tribal youth. Further, the external environmental factors along with socio-economic background of tribal community were found to be dominant in influencing their decision to be an entrepreneur.

This study provides empirical evidence for the integrated and relative role of psychological, economic and environmental factors in shaping the entrepreneurial career decision of tribal community. Hence, one of the key contributions of this research was the development of an eclectic theory of tribal entrepreneurship.

This study discovering the determinants of entrepreneurial decision of tribal community using some recent advances in non-psychological approaches to study entrepreneurship. The domain of tribal/indigenous entrepreneurship is still in a nascent stage and in this context, it enriches the literature by closing few glaring gaps.

The purpose of this paper is to examine the effect of gamification on students’ e-learning adoption. In addition, this paper examines the effect of two mediations, that is, flow and engagement between gamification and e-learning adoption by using sequential mediation analysis.

The authors used the online survey method to collect the 570 responses through convenience sampling procedure. Sequential mediation analysis technique was used to test the mediation hypothesis.

The findings of this paper revealed that gamification elements are an important feature of flow, engagement in e-learning adoption process. Also, the paper found that engagement in the learning process is a key element for students to adopt e-learning.

This paper makes its contribution to the literature related to gamification and e-learning adoption. The paper signifies the importance of gamification as an educational application in e-learning environment and its contribution in designing an interactive learning environment.

Empirically, to the best of the authors’ knowledge, it is the first paper to examine the sequential mediation model of gamification in the education sector in a developing nation like India. Furthermore, this paper also extends engagement and flow theory related to e-learning process by showing how students’ engagement and flow impact the e-learning adoption in the gamified environment.

This research attempts to examine bank dividend policy in Indonesia by applying the life cycle theory of dividends.

This research used secondary data gotten from two sources: banks’ annual financial statements from 2005 to 2019 and the number of observation samples was 510 from 42 banks. Random Effects Logit Model (RELM) is used to detect the influence of independent variables on Propensity to Pay Dividends (PPD) and Random Effects Tobit Model (RETM) is used to test the influence of independent variables on Dividend Payout Ratio (DPR).

The RELM results show that Retained Earnings to Total Equity (RE/TE), Retained Earnings to Total Asset (RE/TA) and bank age have a positive impact on the propensity to pay dividends (PPD) while bank growth (GRW) has a negative impact. The RETM results reveal that RE/TE, ROA and bank size have a positive impact on the dividend payout ratio (DPR) while GRW has a negative impact. This analysis also discovers that the capital adequacy ratio (CAR) and Non-performing Loans (NPL) is one important factor considered by banks in Indonesia in determining their dividend policy.

This study contributes to enriching literature in finance, especially in the life cycle theory of dividends. Also, it can be a guide to consider by investors before deciding to put their shares in banks in Indonesia.

Research on bank-specific life cycle theory is very difficult to find, especially in the Indonesian context, so this research can enrich the body of knowledge on dividend decisions.

The present study was designed to explore the major challenges being faced by the Indian nurses' pre-post pandemic period affecting their well-being (WB) and identify factors that motivated them to perform their service wholeheartedly during the pandemic. The study also tries to bridge the gap in the study area by providing various ways that can help maintain the WB of health care professionals.

A descriptive exploratory qualitative design involving semi-structured interviews was conducted during December–January 2021 with 30 nurses from hospitals in Punjab Qualitative and thematic data analysis technique were adopted. In addition, a literature review was also conducted to study the various factors that affect the WB of health care professionals.

There are various themes and subthemes that were identified by the health care professionals, such as (1) psychological WB, (2) social WB and (3) workplace WB and (4) key motivators. This research work has identified various managerial implications that can play a huge rolein strengthening the healthcare sector of the entire world economy, paving the way toward the better WB of healthcare professionals (HCPs).

Firstly, it is probably the only study that is performed on nursing staff to evaluate their personal experiences during crucial times. It has successfully compared the factors affecting WB pre- and post-pandemic, leading to the emergence of many new factors that have originated due to the pandemic and are the cause of the poor WB of HCPs (Figures 2, 4). Secondly, it is the only study that targeted only those nurses who have provided their services in both scenarios. Finally, the study has been a pioneer in identifying the importance of maintaining the WB of HCPs at hospitals.

Blockchain-based traceability technology (BTT) is an emerging digital technology that claims to have the potential to fulfil the demand for traceability to safeguard fruit safety. Drawing on the technological, organisational and environmental (TOE) framework, this study aims to investigate the perceived facilitators and barriers that influence the behavioural intentions of multiple stakeholders in the Vietnamese fruit supply chain (i.e., farmers, trading enterprises and consumers) to adopt BTT.

This study utilised a qualitative approach of semi-structured in-depth interviews with 60 stakeholders in the Vietnamese fruit supply chain to achieve the research objectives. NVivo 12 was employed to analyse the collected data using content and thematic analysis.

The findings identify several perceived facilitators that motivate BTT adoption. These include trust, transparency, business performance, the formation of alliances, consumer awareness of food safety and ethical agricultural practices, fruit branding and the pivotal role of farmers' cooperatives. Meanwhile, the perceived barriers to BTT adoption include a lack of digital literacy amongst the stakeholders, poor organisational culture, the high cost of traceability-enabled products and data privacy and security governance.

This study suggests that technology awareness and perceived facilitators and barriers should be incorporated into the design and deployment of blockchain-based traceability technology in the agri-food supply chain in developing countries.

To the best of the authors' knowledge, this study is the first qualitative paper that attempts to fill the research gap of understanding the perceived facilitators and barriers that influence the intentions of multiple stakeholders in the fruit supply chain to adopt BTT in the context of a developing economy.

Research in the business-to-business (B2B) and user entrepreneurship literature agrees that “user-driven” perspectives allow entrepreneurs to develop innovative products superior to conventional products. Other researchers argue that such “user-driven” products have limited success and limited impact in certain markets (e.g. niche and industrial markets). This study aims to understand the extent to which user input or co-creation becomes critical in determining product performance.

The key informant approach is used for data collection. Data were collected using a survey instrument via an online panel. Existing scales are used to measure all the focal constructs. Partial least square-based structural equation modeling was used to check for the psychometric properties of the scales and test the hypotheses.

The results indicate that user entrepreneurship is significantly related to firm collaboration efforts and customer collaboration efforts in the B2B market. Both firm collaboration efforts and customer collaboration efforts are significantly related to product performance and mediate the relationship between user entrepreneurship and product performance. Also, findings show that there is an “n” relationship between firm collaboration efforts and product performance.

This study supports the concerns raised by researchers about the dark side of value co-creation and highlights that value co-creation can impede product performance when user entrepreneurs lay too much emphasis on the collaboration processes.

Data science industry is a multidisciplinary field that deals with a large amount of data and derives useful information for taking routine and strategic business decisions. The purpose of this article is to examine the relationship between pricing models, engagement models, and firm performance (FP). This study also aims at uncovering the most effective pricing model and engagement model for improving FP.

Indian data scientists were the respondents of the study. A total of 213 responses were carefully chosen. The data were analyzed using structural equations on Statistical Package for Social Sciences-Analysis of Moment Structures (SPSS-AMOS) version 25 software.

The findings of the study suggested the positive and significant impact of pricing models and engagement models on FP. Value-based pricing strategies have the maximum impact on FP. On the other hand, managed services have a higher influence on FP.

By developing a multi-faceted framework, this study is a novel contribution to the field of business strategy, especially for the data science industry.

Natural disasters cause serious operational risks and disruptions, which further impact the food supply in and around the disaster-impacted area. Resilient functions in the supply chain are required to absorb the impact of resultant disruptions in perishable food supply chains (FSC). The present study identifies specific resilient functions to overcome the problems created by natural disasters in the FSC context.

The quality function deployment (QFD) method is utilized for identifying these relations. Further, fuzzy term sets and the analytical hierarchy process (AHP) are used to prioritize the identified problems. The results obtained are employed to construct a QFD matrix with the solutions, followed by the technique for order of preference by similarity to the ideal solution (TOPSIS) on the house of quality (HOQ) matrix between the identified problems and functions.

The results from the study reflect that the shortage of employees in affected areas is the major problem caused by a natural disaster, followed by the food movement problem. The results from the analysis matrix conclude that information sharing should be kept at the highest priority by policymakers to build and increase resilient functions and sustainable crisis management in a perishable FSC network.

The study suggests practical implications for managing a FSC crisis during a natural disaster. The unique contribution of this research lies in finding the correlation and importance ranking among different resilience functions, which is crucial for managing a FSC crisis during a natural disaster.

The global organic market is expanding, and India is in an advantageous position with the highest number of organic producers worldwide. Although many articles have been published on the value chain of organic products from India, no significant studies were found related to the value chain analysis of organic pineapple. This study aims to know the various aspects of the organic pineapple value chain, i.e. network structure, value addition at various stages of chain actors, value chain upgradation and governance structure.

The study is explorative in nature, and primary data from various actors involved in the chain is collected and analyzed. Primary data through a structured schedule and interviews are collected from farmers and traders. A multistage sampling plan has been adopted. A sample of 75 farmers was randomly selected from the study area. For traders, snowball sampling is used due to the nonavailability of the sampling frame. A total of 10 commission agents, 10 wholesalers and 20 retailers were thus selected for the study. For objectives 1 and 4, descriptive statistics are used. For objective 2, a modified formula described by (Murthy et al., 2007) is used to calculate farmer’s net price and marketing margin. For objective 3, Garrett’s ranking technique is used to identify various constraints in upgrading the organic pineapple value chain in Assam.

This study shows that the value chain of organic pineapple is in the initial stage and proper value addition is required to have a complete regulated value chain. Six marketing channel is identified, and products are sold through farmer producer company only in case of export and trade with distant buyers. The marketing efficiency for channels II and III is 1.69 and 0.99, respectively. The degree of value addition for channel II in the hands of the commission agent, wholesaler and retailer is 11.65%, 4.56% and 12.60%, respectively. In the various constraints in upgrading the value chain, farmers rank “policy support” as a major constraint. In the governance structure, trade with distant traders and exports is done formally and through written contracts.

The study performs value chain analysis of organic pineapple in Cachar district of Assam, India for the year January 2022–January 2023. Future studies are encouraged related to various aspects of the supply chain and value chain of organic pineapple from various northeastern states of India and other states.

The study will help policymakers and key actors to know the existing chain and frame a well-coordinated and regulated value chain.

This study is one of the first study to explore the value chain of organic pineapple of Cachar district of Assam, India. Implementation of these findings can help various actors to strengthen the existing value chain.

The existing literature reflects that the connection between enablers of Industry 4.0 (I4.0), Supply Chain (SC) sustainability and reliability is understudied. To cover this gap, the purpose of this study is to identify and benchmark the enablers of I4.0 for SC sustainability to build a Reliable Supply Chain (RSC).

This study benchmarks the I4.0 enablers for SC sustainability for building a RSC and analyses them with a multi-method approach. The identified potential enablers are validated empirically. A multi-method approach of Analytical Hierarchy Process (AHP), Decision Making Trial and Evaluation Laboratory (DEMATEL) and Preference Ranking for Organization Method for Enrichment Evaluation (PROMETHEE-II) was used to investigate the influence of the identified benchmarking enablers and develop an interrelationship diagram among the identified enablers.

This study benchmarks the potential enablers of I4.0 to achieve high ecological-economic-social gains in SCs considering the Indian scenario. Digitalization of the supply chain, decentralization, smart factory technologies and data security and handling are the most prominent enablers of I4.0 for SC sustainability to build a RSC.

The findings from the study may benefit managers, practitioners, specialists, researchers and policymakers interested in I4.0 sustainability applications.