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The main purpose of this chapter is to understand climate change disclosures to achieve sustainable development goals (SDGs) by discussing in the context of developed and emerging countries’ company cases. Therefore, companies have been selected from the Forbes Global (2000–2021) list by looking at their climate change disclosures in their official websites and their corporate reports. Climate change disclosures have been discussed based on impression management perspective. The results of the study are that some of the tactics used in the reports are at a level that can affect the stakeholders of the enterprises. Therefore, it has been observed that climate change and the steps taken in the issue of climate change are at the top of the priority lists of companies in these four countries. This study is valuable to understand how country perspective changes in climate change disclosures to enhance SDGs by implementing impression management tactics.

Retail clinics in health care have been characterized as a “low-cost disruptive innovation” (Christensen, Anthony, & Roth, 2004). This article examines the retail clinic innovation, how it has grown and evolved over time, and the human resource implications of this phenomenon. The article provides a comprehensive literature review of both academic research and practitioner perspectives. Data regarding how retail clinics have impacted consumer access to health services, cost of health services, clinical outcomes, and customer satisfaction are examined. Even though retail clinics use lower cost staffing patterns than do traditional providers, data indicate positive outcomes and high levels of customer satisfaction with retail clinics. The evolution of retail clinics through multiple models and staffing patterns are discussed. The article concludes with implications for theory, health administration practice, public policy, and future research.

The purpose of this paper is to introduce a new forecasting approach that involves a multicriteria scoring model, which is enhanced with regression analysis and optimization. We compare regression analysis versus our Enhanced Multicriteria Scoring Model by comparing the Error Sum of the Squares in case studies involving top selling automobiles and top Fortune 500 companies. In both the automobile and Fortune 500 case studies, our Enhanced Multicriteria Scoring was more accurate than regression analysis. In practice, our Enhanced Multicriteria Scoring Model should be compared with regression analysis, and the better of the two techniques should be used to forecast. In short, our Enhanced Multicriteria Scoring model is a “breakthrough” modeling technique that will help companies and organizations improve their forecasting.

There is a growing interest in the use of HR-based Industry 4.0 technologies for equality, diversity, and inclusion (EDI) issues yet the emerging trends of Industry 4.0 in EDI implementations and interventions are not fully covered. This chapter investigates the emerging themes regarding EDI and Industry 4.0 interaction through Google-based big data that show the actual interest in Industry 4.0 and EDI. Drawing on a web analytics method that tracks the real click behaviours of web users through querying combined sets of keywords, the study explores the trends and interactions between Industry 4.0 technologies and EDI-related HR practices. Our search engine results page (SERP) analyses find a high volume of queries and a significant interest between EDI elements and artificial intelligence (AI) only. In contrast to the suggestions of the extant literature, no significant user interest in other Industry 4.0 applications for EDI implementations was observed. The authors suggest that other Industry 4.0 technologies such as machine learning (ML) and natural language processing (NLP) for EDI implementations are in their early stages.

International evidence of corporate demand for ‘aesthetic labour’ has stimulated a growing and important literature on the strategic, commercial, legal, gendered and ethical aspects of this labour process (see Spiess & Waring, 2005; Warhurst & Nickson, 2009; Warhurst et al., 2000; Waring, 2011; Witz et al., 2003). There is some evidence to suggest that the growth in ‘Diversity and Inclusion’ strategies and practices by larger firms provides a level of recognition of the need to avoid discriminatory practices based on the physical characteristics of employees whether these be overt, structural or as a result of unconscious bias. It is argued that the emergence of ‘Diversity and Inclusion’ strategies are not just in response to regulatory demands or an enlightened ‘character over characteristics’ approach to hiring, but stems from a desire to meet contemporary Corporate Social Responsibility (CSR) expectations. In turn this corporate motivation is frequently driven by commercial concerns such as the need to attract and retain capital and talent.

In this chapter, the intersection of aesthetic labour, appearance-based discrimination, corporate Diversity and Inclusion strategies and CSR is explored. Through the examination of Fortune 500 ‘Diversity and Inclusion’ strategies and approaches to CSR, the intent behind the resourcing of ‘Diversity and Inclusion’ and its relationship to CSR is critically assessed. This critical assessment discloses both genuine efforts to reject unethical forms of ‘lookism’ or ‘appearance-based discrimination’ but also several contradictions. These include contradictions between the rhetoric of diversity and CSR and the continuation of aesthetic labour strategies for commercial advantage. Further, the research finds that the physical representation of ‘Diversity and Inclusion’ efforts are sometimes themselves exploited for commercial gain.