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This study aims to examine how an organization’s innovation capability could influence research and development (R&D) performance. It also investigates if industry–academic knowledge transfer has a moderating relationship between organizational innovation capability and exploration and exploitative innovation in improving the R&D performance of the organizations.

Based on the literature and dynamic capability view, a conceptual model was developed and then validated using the partial least squares-structural equation modeling technique considering 387 responses from academicians and industry personnel.

The study found that industry–academic knowledge transfer has a significant moderating impact toward improving innovation capability, organizations’ R&D performance and exploration innovation. However, it has an insignificant moderating impact on improving innovation capability and exploitative innovation.

Organizational innovation capability is characterized by both exploratory and exploitative innovation. Both types of innovation support the R&D performance of an organization. Also, organizations that closely work with academic institutions could gain significant R&D knowledge from academic expertise. This study provides food for thought for the academic community as well as industry policymakers.

There are significant opportunities for academic institutions to gain practical knowledge from industry which can help them to accelerate their R&D activities. However, transferring knowledge between industry and academia has challenges related to intellectual property, patents and so on. Not much research has been conducted in this area. Thus, the proposed research model is unique and adds to the existing literature.

The purpose of this study is to assess the impact of consumption values on customer satisfaction and intention to consume millet-based foods. This study examines both tangible and intangible values of the millet-based food to the customer.

Based on consumption value theory (CVT), the present study evaluates the impact of consumption value factors such as emotional, epistemic, health, price, prestige and taste/quality values on satisfaction and intention to use millet-based foods and develops a unique research model. Later, leveraging a dataset comprising more than 410 responses from Pune city in India, a rigorous empirical examination of the proposed model was conducted employing SmartPLS 4.0 software.

The study's finding unveils both the significant and insignificant impacts of various consumption values, both from the tangible and intangible consumption value perspectives on satisfaction and intention to consume millet-based foods. The study also provides a validated food consumption model which can be used for other similar food consumption behaviour of the customers.

This study provides insights as to how different consumption values impact the satisfaction of the customers for the millet-based food. This study illuminates additional aspects of the tangible and intangible factors impacting the satisfaction level of customers to consume millet-based products. Also, this is a cross-sectional study, and the respondents are only based in Pune, India. Thus, the study results cannot be generalised.

This study employs CVT to explore the unexplored impact of consumption values on satisfaction and intention to use millet-based foods, which is unexplored in the past literature. Moreover, this study develops a theoretical model with high explanatory power, and the research model adds value to the existing body of literature from areas such as food preference, consumer behaviour and value consumption insights.

The purpose of this study is to provide a holistic view of how the different dimensions of absorptive capacity (AC) impact reverse knowledge transfer (RKT). Although the importance of AC has been realized in knowledge and RKT literature, scholars have hardly explored the differentiated importance of each component of AC. When knowledge leads to competitive advantage, understanding the differentiated contribution will help enhance the impact of AC on RKT. This becomes even more important for emerging economy multinationals (EMNCs), which struggle in the global market and suffer from various liabilities. Therefore, this study focuses on the multidimensional impact of AC on RKT from Indian multinational subsidiaries based in developed nations to their parent firm.

This study is a quantitative study. The authors tested the research model using a structural equation modeling design based on survey data collected from subsidiaries (in developed economies) of Indian multinationals.

The results show that acquisition, assimilation and transformation components of AC have positive impact on RKT. However, the authors found that the exploitation dimension has no impact on RKT.

To the best of the authors’ knowledge, the research design is original and this is the first study on the impact of all components of AC on RKT. AC is one of the most widely researched variables in knowledge literature, including different versions of Zahra and George’s concept of AC. However, its impact has not been explored much in RKT literature. This study addresses this gap and extends the literature on AC and RKT. The advantages of this study can be seen at the team and organization level.

The study aims to assess how e-agri supply chain coordination (SCC), supply chain integration (SCI) and competitive capabilities (COC) impact both market performance (MO) and operational performance (OP). It particularly emphasizes the critical role of information flow for the benefit of farmers, intermediaries and end-consumers, shedding light on the broader implications of these factors within the agricultural supply chain.

Data are collected online from farmers, intermediaries engaged in buying/supplying agri-products and consumers using a semi-structured questionnaire of 25 items adapted from the extant literature measuring SCC, SCI, COC, OP and MP. The survey instrument is validated for its reliability, convergent and discriminant validity tests. Purposive and convenient sampling is used for data collection. Finally, 280 responses were analyzed using SEM to conclude the study.

Findings underscore information flow’s significance in the e-agri supply chain, addressing various stakeholders’ needs. Technical excellence, featuring robust transaction capabilities and cost-effective maintenance is pivotal. Enhanced supply chain coordination fosters integration and efficient information sharing, enhancing agricultural market performance and sectoral efficiency.

The study explores technology adoption, understands information flow and coordination impact, enhances efficiencies, empowers farmers and promotes transparency, sustainability and consumer benefits.

The study promotes efficient information flow, digital adoption, collaborative planning, tech investment and enhanced responsiveness for agricultural sector managers.

The study bridges the rural-urban divide, empowering farmers, providing fair pricing, sustainable practices, transparency, informed consumers, responsible consumption and income distribution.

The novelty of this study lies in its comprehensive information flow study, new theoretical model and e-agri-specific sub-constructs that define coordination and integration, aiding efficiency and competitiveness.

This study aims to analyze the mediating role of attitude in understanding the impact of online service convenience on user engagement and intention to continuously use e-resources. Five components of online service convenience have been adopted for the present study: These are access convenience, search convenience, evaluation convenience, transaction convenience and possession/ post-possession convenience.

A total of 500 PhD scholars and faculty members from two different states of India were approached to provide their responses through a structured questionnaire, which resulted in 224 complete responses. These responses were analyzed using structural equation modeling. The statistical analysis has been performed with the help of Smart-PLS 3.

The study findings have proven the proposed conceptual model by showing a significant relationship between all the variables. Furthermore, it has been identified that the attitude of the users also positively impacts intention to continuously use e-resources.

This study contributes to the literature on e-resources by providing implications for students, faculties, managers and society.

Food supply chains (FSCs) are fast becoming more and more complex. Sustainability is a necessary strategy in FSCs to meet the environmental, economic and societal requirements. Industry 4.0 (I4.0) applications for a circular economy (CE) will play a significant role in sustainable food supply chains (SFSCs). I4.0 applications can be used in for traceability, tracking, inspection and quality monitoring, environmental monitoring, precision agriculture, farm input optimization, process automation, etc. to improve circularity and sustainability of FSCs. However, the factors integrating I4.0 and CE adoption in SFSC are not yet very well understood. Furthermore, despite such high potential I4.0 adoption is also met with several barriers. The present study identifies and analyzes twelve barriers for the adoption of I4.0 in SFSC from an CE context.

A cause-effect analysis and prominence ranking of the barriers are done using Rough-DEMATEL technique. DEMATEL is a widely used technique that is applied for a structured analysis of a complex problems. The rough variant of DEMATEL helps include the uncertainty and vagueness of decision maker related to the I4.0 technologies.

“Technological immaturity,” “High investment,” “Lack of awareness and customer acceptance” and “technological limitations and lack of eco-innovation” are identified as the most prominent barriers for adoption of I4.0 in SFSC.

Successful mitigation of these barriers will improve the sustainability of FSCs through accelerated adoption of I4.0 solutions. The findings of the study will help managers, practitioners and planners to understand and successfully mitigate these barriers.

This study presents a systematic review of “employee happiness” research from 1991–2023. In this way, this study aims to critically appraise the existing literature, and synthesize themes, thereby, paving a clearer understanding of the construct, along with providing the future research agenda.

By adopting a systematic approach, this study followed scientific procedures and rationales for systematic literature reviews for article selection. A total of 57 articles were finally chosen after a careful examination from 110 selected journals.

The current study identified three major themes after evaluating the selected literature on Employee happiness: (1) work, family and personal blend, (2) organizational support, and (3) Ebullience sentiment. Amidst an ambiguous usage of several related constructs in employee happiness research, the review provided a clear definition of “employee happiness” along with proposing crucial research directions.

There is a lack of systematic reviews on employee happiness in the existing literature. Thus, by far, this effort is one of the earliest endeavors that researchers undertook toward understanding employee happiness.

This research aims to study the effects of mindfulness and self-compassion in addressing COVID-19 phobia issues. To date, not a single study has examined the influence of these constructs on COVID-19 phobia amongst frontline employees (FLEs) in the services sector. In this context, the present study examined the association between FLE’s trait mindfulness and COVID-19 phobia and the mediating effect of self-compassion on this relationship.

Data were collected using 335 FLEs working in the Indian services sector, and the analysis was undertaken using the PROCESS macro of Hayes (2018).

FLE's trait mindfulness was found to influence COVID-19 phobia negatively, and the mediation role of self-compassion was also noted. Findings for the COVID-19 phobia composite and its four facets are discussed.

Corporate leaders could encourage mindfulness and self-compassion training helping in buffering the negative issues associated with COVID-19 phobia among FLEs.

It is one of the few studies conducted in the South-Asian context that highlights how mindfulness can help enhance self-compassion among frontline service sector employees while guiding them to overcome COVID-19 phobia. This could be the first study to examine the mediating effects of self-compassion in the relationships between mindfulness and COVID-19 phobia.

The study identifies barriers all stakeholders face in the returns management process. The pressing issue of online product returns significantly erodes the net profit margins, demanding urgent action. Existing returns management systems are often complex, time-consuming and costly, failing to address this issue effectively. In this regard, persuasive technologies like gamification can effectively influence behaviour and enhance motivation towards reducing return by striking a balance between psychological and behavioural factors. Therefore, the study proposes a framework that combines the theory of planned behaviour and Octalysis to identify intentions to reduce product return rates in the e-commerce business.

A qualitative exploratory research design using a multiple case study-based approach with in-depth interviews conducted with 96 varied stakeholders was used to provide insights into the behavioural aspects for reducing return rates in e-commerce.

The results reveal three facets of effective returns management in e-commerce. Customers and delivery partners prioritize return processes, policies and rewards, emphasizing efficiency. Meanwhile, mid- and strategic-level employees are optimistic about return process enhancements. Interdepartmental integration and cross-functional communication are found to be vital, suggesting the need for a gamified framework in returns management.

This research enriches the returns management literature on gamification solutions and responds to the need for theoretical anchoring by applying the theory of planned behaviour at the organizational level to improve efficiency and customer centricity in the return process.

The present study intends to discover and analyze the determinants of users' intention to use (ITU) drone-based online food delivery (OFD) services. The study mainly focuses on the drone-based food delivery system in India and its implications.

This study has used the purposive sampling method. With the support of the technology acceptance model (TAM) and the theory of planned behavior (TPB), a theoretical model was developed conceptually. Later, the model was validated using the partial least square-structure equation modeling (PLS-SEM) technique with consideration of 324 responses mainly from university students in Delhi- National Capital Region (NCR).

The findings reveal that all the determinants are positively and significantly related to ITU, except for perceived behavioral control that does not influence the consumer’s ITU drone-based OFD services. The study also shows that how food delivery system through drone can revolutionize the entire food delivery system in India.

The present study has developed a unique model that can be used by practitioners, future researchers in this field and policymakers in government departments. The present study is limited to Delhi-NCR in India, and thus, there is an issue of generalizability in the present study.

This study has examined the future of food delivery system through drone-based system. Thus, the leaders in the food industry will be better positioned to understand consumers' intentions to use OFD services using drones and be able to make more informed decisions about investment in drone technology in their respective organizations.

The present study has combined both the technology adoption model and the TPB and developed a theoretical model. The study enriches the literature on drone-based OFD services. Since users' acceptance of OFD services using drones is an under-researched area, the present study will make a meaningful contribution to bring the body of literature in this domain.