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Defined as local manufacturing systems, industrial districts have been recognized as particularly important for the location of firms’ manufacturing activities intertwined with innovation processes. The debate on the internationalization of production has stressed the low value related to manufacturing within value chain activities (smile framework), emphasizing the need to focus on high value-added activities (R&D or marketing). Following multinational enterprises’ internationalization strategies, also district firms have progressively offshored their production phases in the past years. However, recent studies focused on backshoring have revamped the attention on the domestic control of production for firms’ competitiveness. This chapter explores district firms’ location choices for manufacturing activities between local and global. Based on an empirical analysis of about 260 Italian district firms specialized in mechanics, furniture, and fashion and supported by a case study investigation, our results show that despite district internationalization processes, a non-negligible amount of firms still carry out – in-house or through outsourcing – production activities at district level. Larger firms couple district production and long-term upstream outsourced internationalization activities. The district system confirms its role of pooling specialized competences and product know-how, being decisive for firms’ innovation and responsiveness to national and international markets. Backshoring, instead, is a very limited phenomenon and linked to upgrading strategies.

How do stock prices evolve over time? The standard assumption of geometric Brownian motion, questionable as it has been right along, is even more doubtful in light of the recent stock market crash and the subsequent prices of U.S. index options. With the development of rich and deep markets in these options, it is now possible to use options prices to make inferences about the risk-neutral stochastic process governing the underlying index. We compare the ability of models including Black–Scholes, naïve volatility smile predictions of traders, constant elasticity of variance, displaced diffusion, jump diffusion, stochastic volatility, and implied binomial trees to explain otherwise identical observed option prices that differ by strike prices, times-to-expiration, or times. The latter amounts to examining predictions of future implied volatilities.

Certain naïve predictive models used by traders seem to perform best, although some academic models are not far behind. We find that the better-performing models all incorporate the negative correlation between index level and volatility. Further improvements to the models seem to require predicting the future at-the-money implied volatility. However, an “efficient markets result” makes these forecasts difficult, and improvements to the option-pricing models might then be limited.

The implied volatility surface is the collection of volatilities implied by option contracts for different strike prices and time-to-maturity. We study factor models to capture the dynamics of this three-dimensional implied volatility surface. Three model types are considered to examine desirable features for representing the surface and its dynamics: a general dynamic factor model, restricted factor models designed to capture the key features of the surface along the moneyness and maturity dimensions, and in-between spline-based methods. Key findings are that: (i) the restricted and spline-based models are both rejected against the general dynamic factor model, (ii) the factors driving the surface are highly persistent, and (iii) for the restricted models option Δ is preferred over the more often used strike relative to spot price as measure for moneyness.

This paper offers a cross-cultural examination of emotion management in two service organizations: a Japanese specialty shop and a chain of grocery stores in the US. Building on an overview of service culture in the US and its domestication in Japan, we provide an analysis of the two organizational case studies, focusing on their common initiation of a “behavior campaign,” its normative character, perceptions, and repercussions. The paper concludes by focusing on the comparative aspect of the analysis, locating the organizational management of emotions in the context of national culture, and focusing on the organizational use of broader emotional blueprints of socialization related to collectivism and individualism, such as “shame” (in Japanese culture) and “guilt” (in North American culture).

In this study, we proposed and tested a motivational framework of emotional labor. This model incorporates positive and negative affect, motivation to express positive emotions, emotion regulation strategies (emotion suppression, reappraisal, and naturally felt emotions), and job satisfaction. Based on a sample of 147 employees, results generally supported our hypotheses and indicated that employees’ motivation to express positive emotions leads to the expression of the naturally felt emotions and the use of reappraisal. In contrast, motivated employees used less emotion suppression in their work. Hence, employees’ motivation seems to facilitate the adoption of a more authentic stance toward customers. Moreover, employees’ affectivity impacted emotional labor strategies. Finally, replicating past findings, job satisfaction was associated with a more authentic demeanor. This chapter contributes to emotional labor theory by extending our comprehension of emotional labor antecedents, which have been relatively under-investigated by emotion researchers. Moreover, this study demonstrated that self-determination theory is a relevant framework to better understand the emotional labor process. Overall, this motivational approach to the study of emotional labor can lead to more extensive research on emotional labor antecedents.

Intraday volatility characteristics throughout the trading week are examined at the emerging Borsa Istanbul (BIST) stock exchange. Using five-minute (and 15-minute) intervals, accentuated intraday volatility patterns at the microstructure level are examined during the stock market open and close in the morning and in the afternoon sessions. Volatility is highest when markets open in the morning. The second highest is during the afternoon open. The third highest is before the market closes for the day. Volatility before the market close has increased in recent years. These characteristics are seen every trading day. There are also differences: Monday returns are lowest, Friday returns are highest, and Monday morning volatility is highest of the entire trading week. Day-of-the-week and intraday accentuated volatility smile anomalies are jointly investigated using the longest intraday sample period in the emerging country stock exchange literature. Investment companies and professionals can utilize the results for risk management and hedging by avoiding highly volatile opening and closing periods. Arbitrageurs, speculators, and risk takers should trade during these highly volatile periods. Heightened volatility is increased difficulty in price discovery, thus inefficiency. Market participants, exchanges, and public prefer efficient markets. The research presents evidence of trading days, and periods during the trading day, when the exchange becomes more efficient. This is the first research that explores day-of-the-week effect from intraday volatility perspective in an emerging market, and provides useful recommendations in designing risk management strategies at market microstructure level.

In this chapter, we define the “inflation forward rates” based on arbitrage arguments and develop a dynamic model for the term structure of inflation forward rates. This new model can serve as a framework for specific no-arbitrage models, including the popular practitioners’ market model and all models based on “foreign currency analogy.” With our rebuilt market model, we can price inflation caplets, floorlets, and swaptions with the Black formula for displaced-diffusion processes, and thus can quote these derivatives using “implied Black's volatilities.” The rebuilt market model also serves as a proper platform for developing models to manage volatility smile risks.

Through this chapter, we hope to correct two major flaws in existing models or with the current practices. First, a consumer price index has no volatility, so models based on the diffusion of the index are essentially wrong. Second, the differentiation of models based on zero-coupon inflation-indexed swaps and models based on year-on-year inflation-indexed swaps is unnecessary, and the use of “convexity adjustment,” a common practice to bridge models that are based on the two kinds of swaps, is redundant.

The point that I wish to make is that we must be constantly aware of Shakespeare's “whining school-boy”, employ our pedagogy in the framework of its power, and be very humble while preaching our ideas, hoping to find the right way to bring a smile to the faces of our children. It is in this context that I wish to suggest a theatrical framework for teacher training, that is to say – theatrical representations of teaching as performance.