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In the last decades, many of the most talented and promising young graduates in the developed economies have joined the financial industry. Simultaneously, ill-designed incentives’ schemes have favored the development of a culture in which excessive greed, free-riders’ behavior, unreasonable appetite for risk, and short-term decision making have endangered the economy and, potentially, have laid the foundations for financial, economic, social, and environmental crises.

In this chapter, we review current challenges in the financial industry from the lens of human and social capital. We examine some of the factors that allowed unethical behavior and a short-term financial focus in the financial sector, examining how compensation and an extremely competitive culture became key elements that favored greedy and manipulative behavior and ultimately generated socially harmful human and social capital in the financial sector. Finally, we discuss the emergence of a number of game-changers (namely, Brexit, FinTech, the growing relevance of ethical standards, and the increasing participation of women and millennials in the industry) that might represent potential promotors of change and help restructure and reshape the financial industry.

Recent research has examined the effect of the Financial Services Modernization Act of 1999, more commonly known as the Gramm–Leach–Bliley Act (GLB), on the market value of U.S. commercial banks, life insurers, property-liability insurers, thrifts, finance companies, and securities firms. This study fills a gap in our understanding of the Act by measuring the price and trading volume effects of the GLB on U.S.-listed foreign banks. A primary contribution of this study is to examine the role, if any, of two corporate governance perspectives, the stakeholder (code law), and shareholder (common law) models, in a cross-sectional analysis of foreign bank market reaction to the GLB.

Using a generalized least squares (GLS) portfolio approach, Corrado's rank statistic, and confirmed by the traditional market model approach, we find significant negative share price reactions to certain legislative announcements surrounding the passage of the GLB. Trading volume reactions corroborate the significant share price responses. In general, our results indicate that investors in foreign banks reacted negatively to key legislative action. In a cross-sectional analysis, younger, higher-risk foreign banks with less concentrated ownership and more subordinated debt from countries with higher quality accounting standards appear to have more positive (or less negative) share price reactions.

This chapter reports the findings of a large-scale study investigating the issues that arise when firms introduce a new Internet channel. Our analysis offers three key contributions. First, we provide a framework to guide firms in anticipating and understanding the unique challenges of introducing an Internet channel. Second, we present a menu of alternatives to address these challenges. Finally, we pose a series of questions which identify which solutions are most appropriate given the particular market and firm context.

This article argues that the transformation of the economies of Central and Eastern Europe (CEE) has to be understood in the context of the dynamics and development of the global economy. The analysis draws on the notion of combined and uneven development in which there has recently been renewed interest. Too often this notion has been a slogan that lacks substance, but the article elaborates how change is a dynamic process of interaction between economic change and political and social forces. The neoliberal analysis, as well as some Marxist accounts, are criticised for being deterministic, linear and prescriptive. This account emphasises the institutional dimension and role of the state as being critical to understanding the varied outcomes between and within economies in CEE in terms of the way that it has mediated the reinsertion of these countries into the global economy. The story focuses on agency, a neglected aspect of analysis, in emphasising the ideological and discursive aspects of transformation, which attempt to justify and reinforce economic and material changes and to close down debate about alternatives. Crucially, the form and content of development, in its widest sense, cannot be known or predicted because the process of transformation has been contested by different factions of the ruling class and by workers. Despite the marginalisation of organised labour in mainstream and many radical accounts, it is argued that trade unions and workers have been central to the process and outcomes of transformation.

The process approach to multi-level organizational behavior is based on the assumption that multi-level organizational behavior is processual in nature. This article defines group and organizational processes and their representation as process frameworks. Both functional and inclusional classes of levels exist, each of which has at least five categories of levels. All ten categories are special cases of process frameworks. This article provides examples of each category level, which it uses to illustrate new models of organizational work, extended models of interdependence, a new typology of theories based on their levels of processes, and a new tool for survey research called knobby analyses. After explaining the basic idea of knobby analysis, the article briefly describes the processual theory of the organizational hologram, the use of linear programming, and causal-chain analysis to provide multi-level explanations of employee opinion data. These ideas are embodied in conducting a strategic organizational diagnosis, which is the first stage of organizational design. Organizational design encompasses multiple stages, each of which itself involves multiple, multi-level phenomena and analyses. The basic point is that the processual nature of multi-level organizational phenomena gives more hope for improvements in theory building and their application if one uses the process approach rather than a variable approach.

Database marketers often select households for individual marketing contacts using information on past purchase behavior. One of the most common methods, known as RFM variables approach, ranks households according to three criteria: the recency of the latest purchase event, the long-run frequency of purchases, and the cumulative dollar expenditure. We argue that RFM variables approach is an indirect measure of the latent purchase propensity of the customer. In addition, the use of RFM information in targeting households creates major statistical problems (selection bias and RFM endogeneity) that complicate the calibration of forecasting models. Using a latent trait approach to capture a household's propensity to purchase a product, we construct a methodology that not only measures directly the latent propensity value of the customer, but also avoids the statistical limitations of the RFM variables approach. The result is a general household response forecasting and scoring approach that can be used on any database of customer transactions. We apply our methodology to a database from a charitable organization and show that the forecasting accuracy of the new methodology improves upon the traditional RFM variables approach.