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This paper aims to explore the relationship between board characteristics and firm performance for Indian companies.

Corporate governance structures of 391 Indian companies out of CNX 500 companies listed on National Stock Exchange have been studied for their impact on performance of companies. Panel data regression methodology has been used on data for five financial years from 2010 to 2014 for the selected companies. Performance measures considered are market-based measure (Tobin’s Q) and accounting-based measure (return on asset [ROA]).

The empirical findings indicate that the market-based measure (Tobin’s Q) is more impacted by corporate governance than the accounting-based measure (ROA). There is a significant positive association between board size and firm performance. Board independence is found significantly related to firm performance. Number of board meetings is found to be sending positive signal to the market creating firm value. Separation of chief executive officer and chairman of the board is found to be value-creating, and overburdened directors affect firm performance adversely.

Limitations of the study are in terms of methodology and possible omission of some variables. It is understood that the qualitative dynamics happening inside board meetings impact corporate performance. The strategic decision-making process adopted by the boards to fight competition or to increase market share is not easily available in public domain. The decision-making processes and monitoring for implementation of those decisions could impact corporate governance performance relationship. These parameters and their impact on corporate performance are not covered under the scope of the present study.

The paper adds to the emerging body of literature on corporate governance performance relationship in the Indian context by using a reasonably wider and newer data set.

The purpose of this paper is to explore the relationship of board characteristics and firm performance for Indian companies.

Corporate governance structures of 391 Indian companies out of CNX 500 companies listed on National Stock Exchange have been studied for their impact on performance of companies. Structural equation modeling methodology has been employed on data for five financial years from 2010 to 2014 for selected companies. Market-based measure (Tobin’s Q) and accounting-based measure (return on asset) have been employed for measuring firm performance.

Empirical findings indicate that there is significant positive association between board size and firm performance. Board independence is found significantly related to firm performance. Number of board meetings is found to be sending positive signal to the market creating firm value. Separation of CEO and chairman of the board is found to be value creating and overburdened directors affect firm performance adversely. Findings also suggest that the governance-performance relationship is also dependent upon the type of performance measures used in the study.

Limitations of this study are in terms of data methodology and possible omission of some variables. It is understood that the qualitative dynamics happening inside board meetings impact corporate performance. The strategic decisions-making process adopted by the boards to fight competition or to increase market share is not available in public domain easily. The decision-making processes and monitoring for implementation of these decisions could impact corporate governance-performance relationship. These parameters and their impact on corporate performance are not covered under the scope of the present study. However, the same could have thrown more light on governance-performance relationship.

The paper adds to the emerging body of literature on corporate governance-performance relationship in the Indian context using a reasonably wider and newer data set.

This paper aims to explore the relationship of promoter ownership and board structure with firm performance for Indian companies.

Corporate governance structures of 391 Indian companies out of CRISIL NSE Index (CNX) 500 companies listed on national stock exchange (NSE) have been studied for their impact on performance of companies. Panel data regression methodology has been used on data for five financial years from 2010 to 2014 for the selected companies. Performance measures considered are market-based measure (Tobin’s Q) and accounting-based measure (return on assets [ROA]).

The empirical findings indicate that market-based measure (Tobin’s Q) is more impacted by corporate governance than accounting-based measure. There is significant positive association between promoter ownership and firm performance. It is also indicated that the relationship between promoter ownership and firm performance is different at different levels of promoter ownership. Board size is found to be positively related to ROA; however, board independence is not found to be related to any of the performance measures.

Limitations of the study are in terms of data methodology and possible omission of some variables. It is felt that endogeneity and reverse causality might be better addressed using simultaneous equation methodology.

The paper adds to the emerging body of literature on corporate governance performance relationship in Indian context using a reasonably wider and newer data set.

Substantial pressure from civil society and investors has forced governments around the world to take climate neutrality initiatives. Several countries have pledged their nationally determined contributions towards net-zero. However, there exist various obstacles to achieving the same and the agriculture sector is one of them. Thus, this study identifies and models the critical barriers to achieving climate neutrality in the agriculture food supply chain (AFSC).

Sixteen barriers are identified through a literature survey and are validated by the questionnaire survey. Furthermore, the interactions amongst the barriers are estimated through the application of the “weighted influence non-linear gauge system (WINGS)” method which considers the both intensity of influence and the strength of the barrier. To mitigate these barriers, a framework based on green, resilient and inclusive development (GRID) is proposed.

The obtained results reveal that lack of collaboration amongst AFSC stakeholders, lack of information and education awareness, and lack of technical expertise obtained a higher rank (amongst the top five) in three indicators of the WINGS method and thus are the most significant barriers.

This paper is the first attempt in modelling the climate neutrality barriers for the Indian AFSC. Additionally, the mitigating strategies are prepared using the GRID framework.

This study aims to identify, analyze and rank the critical success factors (CSFs) of Lean Six Sigma (LSS) implementation in Indian manufacturing sector based micro, small and medium enterprises (MSMEs). This study provides critical insight for managers and researchers aspiring for successful implementation of LSS in Indian manufacturing MSMEs.

The CSFs were extracted from literature followed by a questionnaire-based survey from 120 industry professionals with extensive knowledge and experience about LSS working in Indian manufacturing MSMEs. Further, the CSFs were grouped based on their fundamental relevance and ranked using best worst method (BWM) approach using inputs from LSS experts.

This study provides insights on success factors that have helped Indian manufacturing MSMEs to implement LSS. The findings signify that “Strategy based CSFs” were ranked as the top most important factors, followed by two other category factors namely “Bottom-Line CSFs” and “Supplier based and other category-based CSFs”.

The proposed research is specifically relevant to the context of MSMEs in the Indian manufacturing sector. In the future, the same approach can be extended to a global context, encompassing service sector-based MSMEs in healthcare and finance.

This study provides valuable inputs for managers, decision-makers, industrial practitioners and researchers about Indian manufacturing MSMEs. The identified CSFs and their prioritization offer a roadmap for successful adoption of LSS. Managers can allocate resources, and make strategic decisions based on the prioritized CSFs. Decision-makers can align their initiatives with the identified CSFs. Industrial practitioners gain insights to enhance their LSS initiatives, and researchers can focus their efforts on areas critical to LSS implementation in Indian MSMEs. Furthermore, the structured approach employed in this study can be adopted by various MSME sectors globally, thereby broadening the comprehension of LSS implementation.

This study contributes to the existing body of knowledge by addressing the gaps in literature on CSFs related to LSS adoption within Indian manufacturing MSMEs. While LSS has been widely studied, there is limited focus on its adoption in the context of Indian MSMEs. The combination of extensive literature review, questionnaire-based survey and the application of the BWM approach for prioritizing CSFs adds originality to the research.

In a volatile agricultural postharvest market, producers require more personalized information about market dynamics for informed decisions on the marketed surplus. However, this adaptive strategy fails to benefit them if the selection of a computational price predictive model to disseminate information on the market outlook is not efficient, and the associated risk of perishability, and storage cost factor are not assumed against the seemingly favourable market behaviour. Consequently, the decision of whether to store or sell at the time of crop harvest is a perennial dilemma to solve. With the intent of addressing this challenge for agricultural producers, the study is focused on designing an agricultural decision support system (ADSS) to suggest a favourable marketing strategy to crop producers.

The present study is guided by an eclectic theoretical perspective from supply chain literature that included agency theory, transaction cost theory, organizational information processing theory and opportunity cost theory in revenue risk management. The paper models a structured iterative algorithmic framework that leverages the forecasting capacity of different time series and machine learning models, considering the effect of influencing factors on agricultural price movement for better forecasting predictability against market variability or dynamics. It also attempts to formulate an integrated risk management framework for effective sales planning decisions that factors in the associated costs of storage, rental and physical loss until the surplus is held for expected returns.

Empirical demonstration of the model was simulated on the dynamic markets of tomatoes, onions and potatoes in a north Indian region. The study results endorse that farmer-centric post-harvest information intelligence assists crop producers in the strategic sales planning of their produce, and also vigorously promotes that the effectiveness of decision making is contingent upon the selection of the best predictive model for every future market event.

As a policy implication, the proposed ADSS addresses the pressing need for a robust marketing support system for the socio-economic welfare of farming communities grappling with distress sales, and low remunerative returns.

Based on the extant literature studied, there is no such study that pays personalized attention to agricultural producers, enabling them to make a profitable sales decision against the volatile post-harvest market scenario. The present research is an attempt to fill that gap with the scope of addressing crop producer's ubiquitous dilemma of whether to sell or store at the time of harvesting. Besides, an eclectic and iterative style of predictive modelling has also a limited implication in the agricultural supply chain based on the literature; however, it is found to be a more efficient practice to function in a dynamic market outlook.

Advertising clutter has fueled the rise of nontraditional advertising methods. The current study, conducted in India, adopted the consumer socialization framework to assess product placement attitudes and behaviors.

A questionnaire-based survey was conducted to gauge consumers' responses to product placements. Structural equation modeling (SEM) was applied to analyze the relationship between different variables.

The results revealed that young Indian adults are positive about product placements as they believe that incorporating brands into the content adds realism. The authors found that socialization agents significantly impact viewers' attitudes toward product placements which in turn influence their purchase intentions. The authors also found that product acceptability impacts consumers' purchase intentions.

This paper provides important insights into consumers' perceptions of product placements. Based on the findings, marketers can formulate effective product placement strategies.

Most of the studies existing in this area have been conducted in the developed markets except a few which have been conducted in the emerging markets. Hence, the present study is an attempt to fill this research gap. This study is among the first to establish a relationship between product acceptability and consumers' purchase intentions.

The purpose of this paper is to identify the challenges surrounding the implementation of digital technology (DT) agri-food supply chain (AFSC) and explore how these challenges relate to the various sustainability dimensions. Additionally, it aims to assess how these challenges are interconnected in relation to achieving sustainable development goals (SDGs).

The study employs a mixed-method approach utilizing the EFA-ISM-Fuzzy DEMATEL technique. To support and validate the findings, exploratory factor analysis (EFA) categorized 12 critical challenges in sustainable dimensions from 141 participants' responses. Furthermore, interpretive structural modeling (ISM) and decision-making trial and evaluation (DEMATEL) methods were used to obtain the interrelationship and hierarchical structure of the challenges.

The study identified 12 critical challenges while adopting DT in AFSC. These challenges were categorized into four sustainable dimensions: technological, economic, environmental and social. These challenges hinder the achievement of SDGs as well. Lack of regulatory and policy framework with security and privacy issues were the key challenges faced while adopting DT. These observations emphasize the necessity for government and policymakers to prioritize tackling the identified challenges to successfully endorse and execute DT initiatives in AFSC while also fulfilling the SDGs.

The implication underscores the need for collaboration among various stakeholders, such as governments, policymakers, businesses and researchers. By collectively addressing these challenges, DT can be leveraged optimally, fostering sustainable practices and making progress toward achieving the SDGs within the AFSC.

The study uses a combination technique of EFA and ISM-DEMATEL to identify the challenges faced in Indian AFSC while adopting DT and categorizes the interrelation between the challenges along with fulfilling the SDGs.

Online customer communities have become a strategic tool for business-to-business (B2B) firms to drive collaboration among customers around the company’s products and services. This paper aims to argue that the three social capital dimensions, that is, structural, relational and cognitive, themselves driven by brand community trust, can affect brand loyalty for the organization.

The authors use a survey to collect data and structural equation modeling to test the conceptual framework by collecting data from 214 participants across three online B2B communities operated by three technology firms in India.

Brand community trust is found to have a strong association with social network ties, identification and norm of reciprocity and shared vision. These three have concomitant effects on the quality of customer-to-customer (C2C) interactions. Such communication generates functional, emotional and social benefits, which, in turn, curate brand loyalty.

The authors’ findings guide community managers in leveraging such conversations in shaping customer loyalty for the corporate brand.

This work provides an integrated framework to explain the important role of C2C interactions in B2B online brand communities.

The study examined a wide range of proactive supply chain practices to demonstrate a cross-linkage among them and to understand their effects on both practitioners of previous decision-making models, frameworks, strategies and policies. Here, six supply chain practices are empirically evaluated based on 28 constructs to investigate a comprehensive model and confirm the connections for achieving performance and competence. The study presents a conceptual model and examines the influence of many crucial factors, i.e. supply chain collaboration, knowledge, information sharing, green human resources (GHR) management and lean-green (LG) practices on supply chain performance.

Structural equation modeling (SEM) examines the conceptual model and allied relationship. A sample of 175 respondents' data was collected to test the hypothesized relations. A resource based view (RBV) was adopted, and the questionnaires-based survey was conducted on the Indian supply chain professionals to explore the effect of LG and green human resource management (GHRM) practices on supply chain performance.

The study presented five constructs for supply chain capabilities (SCCA), five constructs for supply chain collaboration and integration (SCIN), four constructs for supply chain knowledge and information sharing (SCKI), five constructs for GHR, five constructs for LG practices (LGPR) and four constructs for lean-green SCM (LG-SCM) firm performance to be utilized for validation by the specific industry, company size and operational boundaries for attaining sustainability. The outcome emphasizes that SCCA positively influence GHRM, LG practices and LG supply chain firm performance. However, LG practices do not influence LG-SCM firm performance, particularly in India.

The study exploited multiple practices in a conceptual model to provide a widespread understanding of decision-making to assist in developing a holistic approach based on different practices for attaining organizational sustainability. The study stimulates the cross-pollination of ideas between many supply chain practices to better understand SCCA, SCIN, SCKI, GHRM and LG-SCM under a single roof for retaining organization performance.