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This study aims to empirically examine the relationship between corporate social responsibility disclosure (CSRD) and financial performance (FP) in Indian firms.

Data for CSRD is collected by conducting content analysis of CSRD in annual reports of the sampled firms. A multidimensional measure of CSRD is constructed based on the stakeholder theory, consisting of six stakeholder groups – employees, customers, investors, community, environment and others. The aggregate CSRD measure is created by combining disclosure of the six CSR dimensions. Multiple regression analysis is used to examine the CSRD–FP linkage, controlling for the confounding effects of size, risk, age, industry, ownership and period.

The results of this study indicate that the aggregate CSRD measures, both for quality and quantity, have a positive association with the accounting measures of firms’ FP. However, the market measure of FP is observed to have a statistically insignificant association with aggregate quality and quantity of CSRD of Indian firms.

The results reveal that adopting transparent and extensive CSRD is relevant for the profitability of firms, and that government interventions are required to promote CSR programs, with a specific focus on the CSR dimensions that provide no apparent financial gains.

This study recommends the adoption and reporting of CSR practices by Indian firms for their stakeholders.

This study contributes to the scarce literature on the CSRD–FP linkage in the context of emerging economies by using a more inclusive data set, creating a reliable measure of CSRD applicable to a large universe of firms and including relevant control variables that affect the CSRD–FP relationship.

To explore building blocks of corporate value creation that can be effectively assembled by practicing managers to deconstruct corporate value creation into distinctive models (customer value creation and shareholder value creation) and stages (resource assembly and capability leverage) in the Indian Information Technology enabled Service (ITeS) industry for exploring efficiency differentials between large Indian ITeS companies.

Data envelopment analysis (DEA) technique has been used to uncover efficiency differentials in large Indian ITeS companies that represent 90% of all the ITeS companies listed in the Indian stock market and 13.9% of all companies listed in the Indian stock market, across industries.

This paper documents a nuanced understanding of interrelationships among activities that influence corporate value creation and comprehensively highlight those dominant activities that contribute to corporate value creation in an ITeS industry setting. The study demonstrates as to how companies can become more efficient in such crucial value creating components that result in superior corporate value. The explicating methodology proposed in this study can be handy for managers and can be extrapolated to other industry and national settings as well.

Deconstructing corporate value creation into granular models, customer value creation and shareholder value creation and further into two stages, being assembling resources to create capabilities and leveraging such capabilities to deliver value, this study provides hands-on value for managers in ITeS companies to create value.

Fusing the value creation and appropriation (VCA) framework, the resource-based view (RBV) and its extensions, this paper builds a robust theoretical model specification that is empirically tested.

The purpose of this paper is to analyse the relationship between debt policy and performance among family firms (FF), providing evidence on whether FF differ from non-family firms (NFF). It also focusses on the possibility of asymmetrical debt policy impact on performance between periods of stability and economic adversity.

The paper employs panel data regression, considering a sample of Portuguese listed firms for the period between 1999 and 2014.

Overall, the author find evidence that debt contributes negatively to firms’ performance, which is consistent with the pecking order prediction, and that the relationship between debt and performance do not differ significantly between FF and NFF. After addressing the endogeneity issue, the author conclude that firms’ performance is negatively influenced by both short- and long-term debt. Considering the total debt, the negative relationship between the two variables differs from family and non-family companies. The results show that age and size influences positively, and the independence of the board directors influences negatively the firms’ performance. The empirical findings suggest that under economic adversity, the firms’ performance is negatively affected. Finally, the author conclude that return on assets appear to fit better than return on equity or MB when you want to relate debt and firm performance.

A limitation of this study is the small size of the Euronext Lisbon that results in a small sample.

This paper offers some insights on the relationship between debt policy and firm performance from a country with weak protection of minority shareholders, concentrated ownership and a significant family control. It also gives the opportunity to analyse whether firm performance differs according to market conditions.

The world in which companies operate today is volatile, uncertain, complex, and ambiguous, thus subjecting contemporary forms to an array of risks that challenge their viability in an increasingly competitive landscape. Organizations that cling to their traditional ways of operating impede their ability to survive while those able to embrace evolving changes and lever their strategic response capabilities (SRCs) will thrive against the odds. The possession of such capabilities has become a prominent explanation for effective adaptation to the impending changes but is rarely analyzed and tested empirically. Strategic adaptation typically assumes innovation as an important component, but we know little about how the innovative processes interact with the firm’s SRCs. Hence, this study investigates these implied relationships to discern their effects on organizational performance and risk outcomes. It explores the effects of SRCs and the role of innovation as intertwined adaptive mechanisms supporting strategic renewal that can attain superior performance and risk effects. The relationships are analyzed based on a large sample of US manufacturing firms over the decade 2010–2019. The study reveals that firms possessing effective SRCs have the ability to exploit opportunities and deflect risky situations to gain favorable performance and risk outcomes. While innovation indeed plays a role, the precise nature and dynamic effect thereof remain inconclusive.

The purpose of this study is to utilize the concept of resource based approach to ascertain the resources and the interactions that exist among these resources leading to differential performance in the Indian pharmaceutical industry. Based on review of the literature, the study also highlights differences among companies operating in economically developed economies and in an emerging economy in the pharmaceutical industry, in terms of resources that matter.

Panel data ranging from 2005‐2010 comprising of the listed companies from the Indian pharmaceutical industry is analyzed using random effects regression technique.

The analysis reveals company age and the interaction of R&D expenditure with MD experience are significantly related to performance. Further, the analysis reveals a negative relationship of R&D expenditure with performance in two out of the four models and marketing expenditure is found to have no significant impact on performance.

The paper helps managers understand the resources they should build upon to improve performance.

The paper adds to existing literature on the resource based research in India, where the application of the concept is less prevalent.

Social ventures are unique and important for society; yet, we know very little about their business models. The purpose of this paper is to: re-conceptualize extant business model frameworks so that they can analyze social ventures; identify the key characteristics of social ventures; and identify the typology of effective social venture business model configurations.

The paper uses resource dependence theory to make sense of extant business models and borrows from public administration literature to identify key characteristics and different configurations of social venture business models.

The paper re-conceptualizes business model frameworks as inter-organizational arrangements to cope with external resource dependence; this paper also identifies four key characteristics of social ventures, and develops a social venture business model typology based on these unique key characteristics and extant business model dimensions.

The typology may guide further social venture research, e.g. research on social venture business model creation, on social venture business model innovation, and on social change. Limitations and boundary conditions are discussed in the paper.

The research may further help social entrepreneurs to develop effective business models that meet the social and financial objectives.

The paper offers a novel reconceptualization of traditional business model frameworks, a unique set of key characteristics of social ventures, and a theoretical typology of effective social venture business model configurations.

The competitive rivalry, rapid change and high business volatility necessitate inter-organizational collaboration, including the supply chain (SC). This paper develops an interpretive model of the effect of the chief executive officers’ (CEO's) transformational leadership (TL) style on SC collaboration and, consequently, on the firm's performance.

Total interpretive structural modeling (TISM) is adopted to develop a hierarchical model to delineate the association between the elements of TL, SC collaboration and firm performance. Furthermore, the model has been validated statistically.

The TISM analysis results suggest that the TL style elements require maximum attention and are strategic. These elements drive factors of SC collaboration leading to improved firm performance. Therefore, CEO leadership is critical for SC collaboration to effectively affect firm performance.

The TISM framework in this paper preferred the majority approach over the fuzzy one, which requires a much larger data set. However, the bias of the majority approach can be eliminated by having multiple consultations with participants. Further, the development and validation of the paper was limited to manufacturing small and medium enterprises (SMEs) in India. The model can also be tested in large organizations to garner additional insights.

This study uniquely integrates TL and SC collaboration elements to explain firm performance. The TISM framework explains not only the “what” and “how” but also the “why” of theory building. This study also adds methodological value by combining triangulation with the interpretive tool.