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This chapter presents both main arguments of dividend policy theories and their empirical evidence. According to Miller and Modigliani (1961), dividend decisions are not relevant to firm value in a perfect capital market. Nevertheless, there are several market frictions in the real world (e.g., information asymmetry, agency problems, transaction costs, firm maturity, catering incentives and taxes). Therefore, academics use them to develop theories which help them explain corporate dividend decisions. Particularly, signaling theory considers dividend payments as a signal about firms' future prospects since outside investors face information disadvantage. “Bird-in-hand” theory argues that investors prefer dividends to capital gains since the former have lower risk than the latter. Agency theory is developed from the conflict of interest between corporate managers and shareholders. Corporate managers have high incentives to restrict dividend payments. Furthermore, transaction cost theory and pecking order theory posit that firms prefer internal to external funds. This drives firms to hold more cash and pay less dividends. Life cycle theory explains dividend policy by firm maturity. Mature firms have fewer investment opportunities, and thus, they tend to pay more dividends. Catering theory states that dividend decisions are based on investors' demand. Firms pay more dividends since investors prefer dividends and assign higher value to dividend payers. Tax clientele theory argues that firms that have corporate dividend policy rely on the comparative income tax rates for dividends and capital gains. Under the tax discriminations against dividends, firms tend to restrict their dividends in order to increase their stock prices.

This chapter presents and analyses the application of the novel version of the Intertwining Model in two tourist destinations which are strongly and successfully related to Christmas events and products in Brazil and in Finland. This analysis serves as an attempt to monitor the process of tourism development taking into account the policies implemented through time and the inter-relations between them, from the destinations' vocation for Christmas tourism. This analysis identifies stages in the evolution of public policies and their relationship to the networks of different actors, at the phases of development. This chapter confirms that as the model indicates, stakeholders have multiple roles.

Artificial intelligence (AI) is revolutionizing businesses and daily life, with AI-powered technologies like personal assistants and medical diagnostic systems transforming how we interact and make decisions. However, the ethical implications of these technologies cannot be ignored. AI systems can produce biased results and decisions if not designed to be fair and unbiased. Corporate digital responsibility (CDR) provides a valuable framework for addressing these ethical dilemmas. Service organizations need to navigate CDR issues across the data and technology life-cycle stages (e.g., their creation, operation, refinement, and retention) and across its digital service ecosystem (including its external business partners). Despite the risks associated with poor CDR practices, companies may adopt them to benefit from data monetization, enhanced customer experience, and productivity improvement. To mitigate these risks and build a strong CDR culture, organizations need to establish ethical norms, prioritize customer privacy, and ensure equitable power dynamics with business partners. The emergence of generative AI poses enhanced CDR challenges, such as AI complexity, monitoring, accountability, and workforce changes. Going forward, CDR is a crucial framework for firms to address the needs of their multiple stakeholders and to ensure sustainable business practices in the increasingly digital service world.

Adapting to external and internal transformations is a difficult task that managers and scholars must face while attempting to keep their organisations alive and well-established. This chapter explores the various decision-making tools that can assist practitioners and scholars to improve their understanding of the external scenario to determine the contemporary appropriateness of these approaches for analysing the environment and their implications for various types of organisations. The chapter investigates the barriers and drivers of these methods and proposes existing alternative paradigms created by academics and practitioners to analyse and comprehend the context. It demonstrates how these decision-making tools can be implemented by providing examples and case studies.

This chapter revisits the Hausman (1978) test for panel data. It emphasizes that it is a general specification test and that rejection of the null signals misspecification and is not an endorsement of the fixed effects estimator as is done in practice. Non-rejection of the null provides support for the random effects estimator which is efficient under the null. The chapter offers practical tips on what to do in case the null is rejected including checking for endogeneity of the regressors, misspecified dynamics, and applying a nonparametric Hausman test, see Amini, Delgado, Henderson, and Parmeter (2012, chapter 16). Alternatively, for the fixed effects die hard, the chapter suggests testing the fixed effects restrictions before adopting this estimator. The chapter also recommends a pretest estimator that is based on an additional Hausman test based on the difference between the Hausman and Taylor estimator and the fixed effects estimator.

Introduction: Sustainable marketing practices foster a company and its stakeholders’ environmental, social, and economic well-being while promoting products and services. An integrated approach to sustainability recognises these three interdependent pillars, seeking to unite together. Investing in renewable energy has triple-bottom-line benefits – reducing greenhouse gas emissions, creating jobs, and promoting economic growth. Sustainable marketing practices can be a win-win for companies and the environment.

Need of the Study: Studying and understanding the sustainable development goals (SDGs) are crucial for India and worldwide. Sustainable marketing is becoming increasingly important for companies as they seek to meet the growing demand for sustainable products and services. Sustainable marketing practices can help businesses reduce environmental impact, promoting eco-friendly products and services.

Purpose of the Study: The study focused on achieving the SDGs requires addressing all three pillars of sustainability together. The study explored the different sustainable marketing practices that companies adopt worldwide, how they contribute to environmental, social and economic stability, the benefits of such practices, and the challenges companies face in implementing them.

Methodology: The study is based on secondary data – 10 companies, out of which 5 brands are among the top 10 brands (Souromi, 2023) and 5 are within the top 20 international sustainable brands (Fashinza, 2020) belonging to the textile industry worldwide, were chosen and their sustainable marketing practices were identified and analysed.

Findings: The study highlights standard sustainable marketing practices adopted by different companies worldwide in the textile industry, exploring the contribution of sustainable marketing practices in achieving SDGs.