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In this study, I investigate analysts’ ability to process public information for investors by examining price reactions to a sample of analysts’ recommendation revisions issued shortly after quarterly earnings announcements. I find that these recommendation revisions are used by investors to reassess the valuation implications of announced earnings. Confirmatory (contradictory) recommendation revisions that have the same (opposite) sign as prior earnings surprises can cause investors to revise their beliefs about the valuation implications of announced earnings upward (downward) and thus cause price reactions that are positively (negatively) associated with prior earnings surprises. In addition, I find that as the information complexity of earnings announcements gets higher, these recommendation revisions play a more important role in helping investors understand the valuation implications of announced earnings. Finally, I find that analysts’ ability to interpret the valuation implications of announced earnings for investors has remained at a similar level since the adoption of Regulation Fair Disclosure. Overall, this study provides additional evidence on how analysts help improve corporate information environment.

This chapter reviews traditional intelligence work, primarily how intelligence was perceived and conducted in the industrial economy. The review includes economic sectors with dedicated intelligence functions such as military, law enforcement, and national security. The review also includes secondary intelligence work in all other economic sectors. Looking across all these examples, the authors present a traditional life cycle model of intelligence work and highlight this traditional view of intelligence’s tactical and reactive approach. The chapter details the historical evolution and common intelligence elements in military, business, law enforcement, judicial forensics, national security, market, financial, medical, digital, and computer forensics.

Scholars working in the strategy area have long held that one of the primary ways in which organizations adapt to external changes is through strategic choice. Inasmuch as a new CEO can result in a new strategic direction for the firm, the CEO turnover event itself is an important way by which organizations can signal an alteration in the direction of the firm. In this chapter, we explore how and why CEO turnover has become one of the most powerful indicators of adaptation the firm can make and propose a research agenda to guide future work on CEO turnover.

This chapter examines China’s corporate governance and accounting environment that shapes the adoption of internationally acceptable principles and standards. Specifically, it examines international influences, including supranational organizations; foreign investors and international accounting firms; domestic institutional influences, including the political system, economic system, legal system, and cultural system; and accounting infrastructure. China’s convergence is driven by desired efficiency of the corporate sector and legitimacy of participating in the global market. Influenced heavily by international forces in the context of globalization, corporate governance and accounting practices are increasingly becoming in line with internationally acceptable standards and codes. While convergence assists China in obtaining legitimacy, improving efficiency is likely to be adversely affected given that corporate governance and accounting in China operate in an environment that differs considerably from those of Anglo-American countries. An examination of the corporate governance and accounting environment in China suggests heavy government involvement within underdeveloped institutions. While the Chinese government has made impressive progress in developing the corporate governance and accounting environment for the market economy, China’s unique institutional setting is likely to affect how the imported concepts are interpreted and implemented.

Purpose – Institutional investors need to move beyond first- and second-generation interpretations of Corporate Social Responsibility (CSR) and Socially Responsible Investment (SRI) (based on negative filters), and also beyond third and fourth generations (based on positive and integrated filters), which are more sophisticated but still limited, and toward a fifth generation of SRI and CSR. A fifth-generation model systematically incorporates critical intangibles, such as human capital analysis, into the Environmental, Social, and Governance (ESG) investment process.

Methodology – This chapter incorporates a literature review and draws on a range of qualitative research and case studies on the current and potential role of regulators to regulate nontraditional measures of value.

Findings – The power of institutional investors is currently based on incomplete information from listed companies on how they create value, yet it rests on superior knowledge and insight into the workings of the companies in which they invest, and is only as strong as the quality of the information it uses to make investment decisions on behalf of clients.

Research implications – More research on the role of human capital analysis, and its regulatory consequences, is required.

Practical implications – Regulators need to act within the context of these fifth-generation models in order to create the environment for more transparent investment recommendations.

Originality of chapter – This chapter contributes a qualitative and conceptual perspective to the debate on the role of regulation beyond the global financial crisis.

There is a close relationship between labour markets and technology. Technological development enhances labour productivity and creates new jobs in some industries requiring to be different skills while it destroys jobs in ones requiring to be low-skilled. Today, it is experiencing a deep digital transformation. It may be evaluated for Industry 4.0 to cause technological unemployment due to changes in the structure of employment and to bring about new structural problems in labour market. In addition, it is expected for technological progress such as automation and robotic in the production process to negatively influence employment of low-skilled workers. Industry 4.0 has generated a new production model, in which robotic technologies are effectively used in the production process. So-called new technology-based production process has started to change production, working relationship and daily life. Discussions about the effects of the developments in technology on the labour market and unemployment are separated two groups. While there exist optimist views indicating that such development in technology will result in more productivity, pessimists believe that the use of robots, artificial intelligence, smart systems and algorithms in business life will eventually bring problems such as mass unemployment, mass poverty and social disruption. In this study, the authors aim to analyse the potential effects of Industry 4.0 on labour market in Turkey and European countries. From the findings of the study, the authors concluded that Turkey have a higher risk at automation than European countries.

Our volume is comprised of six sections: (1) the crisis; (2) its similarities to, and differences from being a “normal accident;” (3) sociological and historical explanations for the meltdown; (4) analyses of comparable speculative bubbles and business cycles; (5) international parallels and consequences; (6) analysis of how we might approach the future development of society and economy; and also a section of postscripts for looking ahead to future policy and prevention. Each contribution addresses its main topic, and concludes with practical policy recommendations for a better future.