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When decision makers encounter new assurance services that can be customized for individual clients, they must include them in their pre-existing categorization of assurance, a cognitive task known as postclassification. This paper draws upon three literatures (classification research in accounting, theory of assurance, and cognitive psychology) in order to suggest how this task might be modeled and studied empirically, using the example of SysTrust™. The role of a necessary condition for successful postclassification called the category use effect (Ross, 2000), in which decision makers are reminded of pre-existing categories when they learn to use new categories, is explained.

This paper studies the impact of ownership structure on performance in European banking both prior and during the recent crisis. We use a panel of European banks during the period 1996–2011 and utilize random effects estimations in order to identify differences in bank performance (profitability, loan quality, and cost efficiency) due to differences in ownership structure. Both stakeholder and shareholder banks have distinct advantages, shareholder banks showing better profitability before the crisis but stakeholder banks having higher loan quality before and during the crisis. Differences in profitability and loan quality between stakeholder and shareholder banks before the crisis are especially pronounced in countries that experienced a banking crisis after 2007. There is strong a heterogeneity in performance between different stakeholder ownership groups. With the exception of private savings banks, profitability and loan quality of stakeholder banks has improved relative to that of general shareholder banks during the crisis years. The paper contributes to the previous literature by comparing pre-crisis and crisis performance and includes more refined ownership classifications. The results indicate that the survival of the stakeholder model is due to its competitive advantages. Our findings provide support for those arguing that the diversity of organizational structures is worth preserving. Ownership pluralism should become a policy objective in the banking industry.

The growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility – if only the model outputs are interpretable enough to earn the trust of consumers and buy-in from companies. To build a foundation for understanding the importance of model interpretation in image analytics, the first section of this article reviews the existing work along three dimensions: the data type (image data vs. video data), model structure (feature-level vs. pixel-level), and primary application (to increase company profits vs. to maximize consumer utility). The second section discusses how the “black box” of pixel-level models leads to legal and ethical problems, but interpretability can be improved with eXplainable Artificial Intelligence (XAI) methods. We classify and review XAI methods based on transparency, the scope of interpretability (global vs. local), and model specificity (model-specific vs. model-agnostic); in marketing research, transparent, local, and model-agnostic methods are most common. The third section proposes three promising future research directions related to model interpretability: the economic value of augmented reality in 3D product tracking and visualization, field experiments to compare human judgments with the outputs of machine vision systems, and XAI methods to test strategies for mitigating algorithmic bias.

Strategy Question: How do I better understand the make-up of my overall market?

Summary: Assuming that the market has been properly sized, it is important to also spend similar effort to define segments and size these appropriately. This tool basically mirrors the approach of the Bottom-up Market Sizing Tool. At this stage, emphasis turns to breaking the overall market into actionable segments. Two to three iterations again are common to improve accuracy. The tool output casts the segments as a rectangular graphic, made up of one column for each segment. Segment width is representative of its size relative to the other segments. The width of all segment columns, added together, ties back and equals the overall size of the markets. The result provides guidelines for determining strategic market segments and niches, and how to best position the firm within those segments.

This paper questions the issue of the dynamics of corporate governance in Japan using a conceptual framework adapted from North’s theory of institutional change. National systems of corporate governance can indeed be considered a particular case of institutions. We thus suggest transposing North’s propositions about institutional change to national systems of corporate governance. As an illustration for our propositions, we choose to use a case study: the so-called Sogo crisis. The Sogo group is a Japanese chain of department stores, which has encountered financial problems in the late 1990s. The handling of those difficulties by the firm’s main stakeholders highlights both the recent changes in the Japanese system of corporate governance and the resistance opposed to them.

Perpetrators of technology-facilitated gender-based violence are taking advantage of increasingly automated and sophisticated privacy-invasive tools to carry out their abuse. Whether this be monitoring movements through stalkerware, using drones to nonconsensually film or harass, or manipulating and distributing intimate images online such as deepfakes and creepshots, invasions of privacy have become a significant form of gender-based violence. Accordingly, our normative and legal concepts of privacy must evolve to counter the harms arising from this misuse of new technology. Canada's Supreme Court recently addressed technology-facilitated violations of privacy in the context of voyeurism in R v Jarvis (2019) . The discussion of privacy in this decision appears to be a good first step toward a more equitable conceptualization of privacy protection. Building on existing privacy theories, this chapter examines what the reasoning in Jarvis might mean for “reasonable expectations of privacy” in other areas of law, and how this concept might be interpreted in response to gender-based technology-facilitated violence. The authors argue the courts in Canada and elsewhere must take the analysis in Jarvis further to fully realize a notion of privacy that protects the autonomy, dignity, and liberty of all.

The purpose of this study is to assess (a) the relationship between internal and external IS integration and their respective impacts on internal and external cost management strategies, (b) the relationship between internal and external cost management strategies, and (c) the effects of internal and external cost management strategies on profitability, controlling for firm size. Furthermore, this study investigates whether internal and external IS integrations produce direct significant effects on firm profitability or whether these relationships are established through cost management strategies.

The study uses survey data from a cross-section of 241 U.S. manufacturing firms. Data were analyzed using structural equation modeling.

The results indicate that neither internal IS integration nor external IS integration has a direct significant impact on firm profitability. Rather, internal cost management strategy fully mediates the relationship between internal IS integration and profitability; similarly, the relationship between external IS integration and profitability is fully mediated through external cost management strategy. The results provide evidence that firms seeking profitability solely by investing in IS integration may not necessarily realize enhanced profitability; the firms must focus their attention on intervening processes, such as business strategy, in order to determine the profitability derived from IS integration.

As far as it can be ascertained, this study is the first to explore the impact of internal and external IS integration on firm profitability within the context of internal and external cost management strategies.