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Following from the cutting-edge work of Stephen Wolfram in A New Kind of Science (2002), in this chapter we propose “a new kind of OB” (organizational behavior) based on the varient approach to theory building and testing. In particular, we offer four simple, yet comprehensive theories to account for individual behavior, interpersonal relationships, group dynamics, and collectivized processes in organizations. In each case, two constructs, their association, and the levels of analysis of their operation are proposed. While the four theories proposed here are simple notions, they can explain a variety of complex phenomena and behavior in organizations.

The concept of market orientation has attracted attention from both academics and managers and it has been widely used in the marketing discipline to explain marketing phenomena in business and consumer markets (Deshpande, Farley, & Webster, 1993; Jaworski & Kohli, 1993; Kohli & Jaworski, 1990; Steinman, Deshpande, & Farley, 2000). The most common output or effect attributed by the literature to the market orientation concept has been the firm's achievement of good or superior financial performance by delivering superior value to customers (Deshpande et al., 1993; Hunt & Lambe, 2000; Kohli & Jaworski, 1990; Narver & Slater, 1990). The market orientation concept has also generated a stream of research in both domestic and international markets (Breman & Dalgic, 2001; Cadogan & Diamantopoulos, 1995; Cadogan, Diamantopoulos, & de Mortanges, 1999; Dalgic, 1994; Siguaw, Simpson, & Baker, 1998).

To thrive, any individual, organization, or society needs to separate true from false expertise. This chapter provides a selective review of research examining self and social judgments of human capital – that is, expertise, knowledge, and skill. In particular, it focuses on the problem of the “flawed evaluator”: most people judging expertise often have flawed expertise themselves, and thus their assessments of self and others are imperfect in profound and systematic ways.

The review focuses mostly on empirical work specifically building on the “Dunning–Kruger effect” in self-perceptions of expertise (Kruger & Dunning, 1999). This selective review, thus, focuses on patterns of error in such judgments.

Because judges of expertise have flawed expertise themselves, they fail to recognize incompetence in themselves. Because of their flaws, most people also fail to recognize genius in other people and superior ideas.

The review suggests that organizations have trouble recognizing those exhibiting the highest levels of expertise in their midst. People in organizations also fail to identify the best advice and correct flawed ideas. Organizations may also rely on the “wisdom of crowds” strategy in situations in which that strategy actually misleads because too few people identify the best idea available.

Factor investment is booming in global asset management, especially environmental, social, and governance (ESG), dividend yield, and volatility factors. In this chapter, we use data from the US securities market from 2003 to 2019 to predict dividends and volatility factors through machine learning and historical data–based methods. After that, we utilize particle swarm optimization to construct the Markowitz portfolio with limits on the number of assets and weight restrictions. The empirical results show that that the prediction ability using XGBoost is superior to the historical factor investment method. Moreover, the investment performance of our portfolio with ESG, high-yield, and low-volatility factors outperforms baseline methods, especially the S&P 500 ETF.

I review the burgeoning literature on applications of Markov regime switching models in empirical finance. In particular, distinct attention is devoted to the ability of Markov Switching models to fit the data, filter unknown regimes and states on the basis of the data, to allow a powerful tool to test hypotheses formulated in light of financial theories, and to their forecasting performance with reference to both point and density predictions. The review covers papers concerning a multiplicity of sub-fields in financial economics, ranging from empirical analyses of stock returns, the term structure of default-free interest rates, the dynamics of exchange rates, as well as the joint process of stock and bond returns.

This chapter introduces the reader to the meaning of competitive advantage and posits that a firm's strategy is defined as the managers’ theory about how to gain and sustain competitive advantage. The author demonstrates how a firm creates its competitive advantage by creating more economic value than its rivals, and explains that profitability depends upon value, price, and costs. The relationship among these factors is explored in the context of high-technology consumer goods-laptop computers and cars. Next, the chapter explains the SWOT [s(trengths) w(eaknesses) o(pportunities) t(hreats)] analysis. Examining the interplay of firm resources, capabilities, and competencies, the chapter emphasizes that both must be present to possess core competencies essential to gaining and sustaining competitive advantage through strategy. Next, the chapter describes the value chain by which a firm transforms inputs into outputs, adding value at each stage through the primary activities of research, development, production, marketing and sales, and customer service, which in turn rely upon essential support activities that add value indirectly. After describing the PEST [p(olitical) e(conomic) s(ocial) t(echnological)] Model for assessing a firm's general external environment, the chapter explains Porter's Five Forces Model. The chapter then describes the strategic group model and illustrates that model by reference to the pharmaceutical industry. The author notes that opportunities and threats to a company differ based upon the strategic group to which that firm belongs within an industry. Finally, the chapter explores the importance of strategy in technology intensive industries and emphasizes that sustained competitive advantage can be accomplished only through continued innovation.

This chapter introduces the reader to the meaning of competitive advantage and posits that a firm’s strategy is defined as the managers’ theory about how to gain and sustain competitive advantage. The author demonstrates how a firm creates its competitive advantage by creating more economic value than its rivals, and explains that profitability depends upon value, price, and costs. The relationship among these factors is explored in the context of high-technology consumer goods – laptop computers and cars. Next, the chapter explains the SWOT [s(trengths) w(eaknesses) o(pportunities) t(hreats)] analysis. Examining the interplay of firm resources, capabilities, and competencies, the chapter emphasizes that both must be present to possess core competencies essential to gaining and sustaining competitive advantage through strategy. Next, the chapter describes the value chain by which a firm transforms inputs into outputs, adding value at each stage through the primary activities of research, development, production, marketing and sales, and customer service, which in turn rely upon essential support activities that add value indirectly. After describing the PEST [p(olitical) e(conomic) s(ocial) t(echnological)] Model for assessing a firm’s general external environment, the chapter explains Porter’s Five Forces Model. The chapter then describes the strategic group model and illustrates that model by reference to the pharmaceutical industry. The author notes that opportunities and threats to a company differ based upon the strategic group to which that firm belongs within an industry. Finally, the chapter explores the importance of strategy in technology-intensive industries and emphasizes that sustained competitive advantage can be accomplished only through continued innovation.

In this study, we examine the relationship between political connections of private firms and the initial public offering process. Using registration statement information, we create a unique database of politically connected IPO firms. We find that political connections are substitutes to high-quality underwriters and big four auditors. Politically connected firms manage earnings more highly upward than non-connected firms prior to the public offering. Politically connected firms also exhibit less underpricing than non-connected firms. Finally, politically connected IPO firms have superior post-IPO returns relative to non-connected IPO firms.

Intentions of managers of pharmaceutical multinational enterprises (MNEs) to adopt business strategies, which will aid global health and wellbeing, are in some ways linked with their understanding of the returns that their company will receive from these investments. However, the MNE’s managers are unaware of business strategies that will allow them to link their business activities with the corporate objectives of contributing to Sustainable Development Goals (SDGs). Pharmaceutical companies are moving toward monopolistic practices by acquiring local companies for manufacturing purposes or by engaging local companies in contract manufacturing and directing the focus of these companies away from innovation and toward profit making. At the same time, pharmaceutical MNEs are promoting global health and wellbeing as their SDGs. This study uses knowledge from existing sources and expert insights to explain the returns that MNEs can get from their investments related to global health and wellbeing. One of the important recommendations from the ethical point of view is engaging local firms in the innovation process; from the marketing perspective, this study recommends the use of a corporate brand and not a product brand for offering generic medicines. The operations perspective explains how MNEs can incorporate the social agenda into their mainstream business strategies. Limitations of the study are discussed, and avenues for future research are explained.

In complex environments, the use of technology to enhance the capability of people is commonplace. In rapidly changing and often unpredictable environments, it is not enough that these human-automated “teams” perform well when events go as expected. Instead, the human operators and automated aids must be flexible, capable of responding to rare or unanticipated events. The purpose of this chapter is to discuss the Framework of Automation Use (Dzindolet, Beck, Pierce, & Dawe, 2001) as it relates to adaptive automation. Specifically, our objectives are to: (1) examine a number of factors that determine how people can effectively integrate their activities with their machine partners in fluid environments and (2) consider the implications of these findings for future research.