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In this chapter, we examine whether corporate environmental reporting (CER) by listed companies in Kenya improves stock liquidity. The investigation is motivated by the growing interest by corporations, investors, and regulators toward embracing ecological protection with a view to creating sustainable societies for the future.

Using a panel dataset comprising of 244 firm-year observations from 50 listed firms in Kenya over a five-year period (2011 to 2015), we perform fixed-effects regressions to discern whether CER is associated with stock liquidity. To examine this, we utilize bid-ask (as well as quoted) spreads measured over month −9 to month +3 relative to a firm’s year end.

Despite the seemingly low levels of CER across firms in the sample (average: 32.6%), the results depict that CER is positively associated with stock liquidity. The results are robust even when we consider changes in bid-ask spreads and CER together with the other variables. The same results emerge when we study the association between bid-ask spreads and each CER item at a time over the period 2011–2015.

The results imply that listed companies in Kenya that engage in higher CER seem to be more attractive to investors. The higher CER seems to improve the information environment, hence reducing information asymmetry and therefore attracting investors. The results provide some evidence of positive economic consequences of engaging in additional disclosure over and above the traditional corporate financial reporting.

The study adds onto the dearth of literature on the economic consequences of embracing additional disclosure frameworks in developing countries where the adoption of alternative reporting frameworks is at infancy.

Prior research shows that companies that achieve high performance excel at certain financial objectives. This chapter addresses the question: Do companies that excel at these financial performance objectives also excel in integrated reporting and sustainability reporting?

We compare a sample of high performance companies (HPC) with a sample of companies that purport to support integrated reporting, and a sample that purport to support sustainability reporting. Our hypotheses are that HPC will equal or exceed the integrated reporting and sustainability reporting practices shown by International Integrated Reporting Committee (IIRC) and Global Reporting Initiative (GRI) companies and US companies will be less at these practices than non-US companies.

Our findings indicate that IIRC companies and GRI companies generally do not meet the high financial performance measures of the HPC. Based on an integrated reporting and sustainability reporting matrix, we show that HPC exhibit equal performance on the practices of sustainability and integrated reporting compared to GRI companies, but both HPC and GRI are lower on these practices than IIRC companies. Also, US companies disclose less information in sustainability reports and integrated reports as compared to non-US companies. Overall, all three groups fall short of full compliance with standards of integrated reporting and sustainability reporting.

This chapter provides evidence as to the financial performance and the current state of integrated reporting and sustainability reporting among HPC, GRI, and IIRC companies. This chapter highlights the global need for a generally accepted set of standards for sustainability and integrated reporting practices.

Machine learning (ML) has recently gained momentum as a method for measurement in strategy research. Yet, little guidance exists regarding how to appropriately apply the method for this purpose in our discipline. We address this by offering a guide to the application of ML in strategy research, with a particular emphasis on data handling practices that should improve our ability to accurately measure our constructs of interest using ML techniques. We offer a brief overview of ML methodologies that can be used for measurement before describing key challenges that exist when applying those methods for this purpose in strategy research (i.e., sample sizes, data noise, and construct complexity). We then outline a theory-driven approach to help scholars overcome these challenges and improve data handling and the subsequent application of ML techniques in strategy research. We demonstrate the efficacy of our approach by applying it to create a linguistic measure of CEOs' motivational needs in a sample of S&P 500 firms. We conclude by describing steps scholars can take after creating ML-based measures to continue to improve the application of ML in strategy research.

This chapter intends to contribute to the debate on the determinants of corporate social responsibility (CSR) and their impact on performance measurement and communication systems. It aims at analyzing the relationship between the reasons why firms adopt CSR and the importance given to voluntary CSR disclosure.

Two main categories of CSR determinants have been identified: the external ones, coming from the environment outside the firm, and the internal determinants, which are linked to some specific characteristics of the enterprise and to the objectives it pursues.

The analyzed sample consists of 120 large Italian manufacturing and nonmanufacturing enterprises. The research hypotheses concerning the relationship between external and internal determinants of CSR and CSR disclosure were verified using an independent sample t-test, evaluating the equal variances of clusters using the Levene’s test.

Main results point out that in companies giving importance to CSR disclosure, the internal drivers are more relevant than the external ones in determining the attitude toward CSR. Among the internal determinants, drivers related to company and management values and ethics are quite relevant.

This study is subject to the limitations that generally apply to cross-sectional survey-based research.

Our research findings show that legitimacy theory represents the most relevant theory in explaining CSR disclosure practices of Italian large firms, as well as the operational implementation of stakeholder theory, such as stakeholder management. On the contrary, institutional theory only partially explains CSR disclosure, with respect to the pressures coming from financial markets.

The chapter investigates the relationship between environmental management practices (EMPs) and financial performance (FP).

The study is based on a sample of 187 SMEs and uses data on six EMPs (energy, water, waste, material, emissions, and biodiversity) collected through a self-administered questionnaire from owner-managers of SMEs. Ordinary least squares regression is employed to model the hypothesized paths.

The results suggest a positive and significant relationship between EMPs (energy, water, and material) and FP. There is also a significant positive relationship between an aggregate EMP measure and FP. However, other EMPs (waste, emissions, and biodiversity) are not significantly associated with FP. Overall, these results provide empirical support to the mostly normative suggestion that the conflicting results on the environmental management and financial performance relationship are partly due to the EMP measure used.

The study is based on cross-sectional data, and therefore, it is impossible to determine any changes over time. Longitudinal studies could help confirm the relationship between EMP and FP over a longer period. From a policy perspective, this results mean that the Ghanaian EPA must monitor more closely for violations of laws and regulations relating to waste, emissions, and biodiversity since SMEs do not have incentives to manage these impacts without commensurate return.

The study contributes by documenting evidence of the relationship between multiple measures of EMP and FP. This unlike most existing studies has enabled us to report evidence of how each EMP measure affects FP differently and where win–win opportunities are for SMEs. Thus, the win–win opportunities are associated with some EMP measures but not all.

This paper proposes an anthropology‐based theoretical model describing the impact of top management culture clash on the commitment of the acquired team to the new organization and on its cooperation with the acquiring team. It suggests that three factors are influential, namely the degree of cultural differences, the nature of the contact between the teams, and the intended level of integration between the companies. The paper generates numerous propositions for predicting the impact of the culture clash. It also offers suggestions for further theoretical and empirical study, and presents some of the model's practical implications.

Agency theoretic models have been used in the past to justify the use of stock options as an effective incentive alignment mechanism to create a common fate between principals and agents. In this paper, we use behavioral theory to reach the opposite conclusion – namely, that the design characteristics of the typical stock option plan foster perverse incentives for loss‐averse agents, leading to decisions with detrimental consequences for principals. We also consider alternative stock option designs and other equity‐based executive compensation plans and argue that they may suffer from the same problems as traditional stock option plans – namely, that loss‐averse executives will try to protect the endowed value of that equity through self‐serving decisions that do not enhance shareholder wealth.

Approaching anti-essentialism from the perspective of multiculturalism this article reexamines the value of tolerance in dealing with inter-cultural conflicts and in facilitation of multicultural discourses. It asserts that tolerance can be a potentially useful practice in specific local contexts, but it is not an ideal in itself. The article questions the role of public administration in building tolerance for cultural diversity and argues that providing visible forms of public recognition of cultural practices could be one possible role for government agencies.

The research aims to empirically investigate the determinants of the breadth of the corporate social disclosure (CSD).

The study adopts a multi-perspective approach, referring to different theoretical frameworks on CSD, such as the legitimacy theory, the stakeholder theory, the agency model, the asymmetric information theory, and the institutional perspective.

The empirical research is based on the sustainability reports of 80 companies in which investments were made by European socially responsible funds (SRFs) listed on the Morningstar platform during the years 2009–2008.

The theoretical hypotheses are tested by a univariate and multivariate analysis.

The breadth of the CSD depends on multiple factors, both external and internal, such as the country of origin, the industry reputation, the firm size, the frequency of the SRFs participation, the corporate social performance.

Limits inherent in this type of research are the comparability of the CSR reports and the systematization of the categories of content to be analyzed.

The chapter identifies several factors that lead to a greater completeness of the CSD, exploiting the capacity of the social reporting to trigger benefits for the firms such as a stronger social legitimacy and the reduction of asymmetric information.

The research supports the investigation of the levers of CSD to meet the demand for a broader accountability.

The reference to firms in which SRFs participated allows to focus on companies ascertained as socially responsible in accordance with a “certification function” of these funds. Findings support an approach which is not one-sided, thus enabling to look at the determinants of the CSD through different theoretical perspectives.