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A proposed typology of moral exemplars in business highlights instances selected to illustrate standards for inclusion. The typology distinguishes among champions, heroes, and saints as different kinds of business exemplars. The typology reflects variations in both specific decision conditions and moral value emphases of business actors. The typology also differentiates moral exemplars from moral neutrals (i.e., amoral actors) and moral sinners (i.e., moral value scofflaws). The objective is to advance understanding of moral character and moral courage in business settings.

The methodology combines original conceptual argument and brief case summaries taken from available literature. The chapter is not a systematic survey of literature but cites key works. Construction of the typology involved iteration between conceptual development and case interpretation.

The chapter separates business cases into private business and public business, and applies Adam Smith’s distinction between citizenship and good citizenship. An additional distinction is made between extreme conditions and normal conditions. Moral heroism in business is restricted to life-and-death or strongly analogous situations in extreme conditions such as hazardous whistleblowing. Moral sainthood in business involves extreme maximization of a single value going far beyond simple compliance with legal requirements and typical ethical norms – Smith’s definition of citizenship. Moral championing in business concerns some degree of lesser self-sacrifice in defense of important values reflecting Smith’s definition of good citizenship.

The chapter is a selection of literature undertaken in iteration with the conceptual development effort. The original research aspect of the chapter is thus quite limited. The author is not positioned to judge the accuracy of published information, for or against a particular instance. The classifications thus depend on whether the instance would, if the generally reported facts are basically accurate, serve as a reasonable illustration of standards for inclusion. Criticisms have been made concerning some of the instances discussed here.

The emphasis is on providing standards for defining moral exemplars for business to suggest how much can be accomplished in business through moral influence.

The conceptual contribution is original, although drawing on the philosophical literature debate about saints and heroes. The chapter treats exemplar as the overarching construct, separated into three kinds: heroes, saints, and champions. Sinner is implicit in the notion of saint. The chapter adds moral champions and moral neutrals to isolate moral heroism. The cases exist in the literature, but have been combined together here for the first time.

The lived experience of HIV+ Black MSM (men who have sex with men) in the South exposes persistent racialized inequality. With the highest rates of HIV diagnosis in the country, Black MSM are made to feel unequal within the US LGBTQ community, thereby perpetuating long-standing inequalities between the groups. We argue that Whites' and Blacks' differing conceptions of racial equality serve to limit the extent to which comprehensive LGBTQ equality is possible as whiteness frames the LGBTQ experience in the United States. Examining how the country's racist story of nonaccess, representation, and exclusion has stymied coalition building to eliminate inequalities, findings reveal the structural impediments toward racial parity. Utilizing the case study of HIV+ Black MSM in the South, we examine the persistence of inequality amid the thrice interwoven intramarginalization of feeling excluded from sociopolitical spaces, having limited political representation, and engaging with racist body politics.

The research examines the simultaneous processes of value co-creation and value co-destruction in the implementation of a mobile banking application in rural Colombia. Rural communities experience digital and financial deficits and often become the object of technology-based initiatives. In the town, vulnerable female heads of household received a government subsidy through a mobile app, becoming an experimental group for this government–private bank collaboration. In an effort to create the first cashless society in Colombia, the bank engaged the entire town and local government to create a service ecosystem, constituted by operant resources.

This study uses a qualitative, ethnographic approach to investigate the experiences of stakeholders in engaging with a mobile banking app. The empirical data is drawn from 34 interviews, representing different layers of this service ecosystem. The study identified and analysed actor engagement behaviours that occurred in the micro-, meso-, macro- and meta-layers of this ecosystem that shaped the perception and usage of mobile payments and digital money for rural consumers.

The study found that simultaneous manifestations of the co-creation and co-destruction of value present in different layers ultimately diminished the value proposition for this digital money system. We shed light on how actor engagement transitions across different layers of the ecosystem and that negative interactions in the meta-layer of the ecosystem can affect perceptions of value in the micro-layer.

This study has contributed to the service literature by integrating epistemological cultural theory into value co-creation and co-destruction construct. In doing so, we provide a broader context for understanding how actor engagement can negatively impact on the value creation process and offer a meaningful contribution to the development of midrange theory of the value creation process.

Studies on entrepreneurship in public agencies suggest that managing for innovation may increase organizational performance. These studies, however, do not take into consideration the processes of opportunity identification. Therefore, the purpose of this paper is to, first, situate the concept of opportunity identification within the broader research on public sector entrepreneurship, and second, to explore the relationship between managerial empowerment practices and employee alertness to new opportunities.

This paper uses aggregated data from the Federal Employee Viewpoint Survey – an annual survey of the US Federal employees – to examine the relationship between managerial empowerment practices and employee alertness. The analysis employs a fixed-effects regression to model each panel of the US Federal agencies, from 2011 to 2017.

The results indicate that managerial empowerment practices have a clear correlation to employee alertness and are substantively different from empowerment practice’s relationship to “innovation” – an outcome of entrepreneurship. These findings suggest that scholarship should include opportunity identification as a moderating variable in future studies on public sector entrepreneurship.

The empirical analysis should be viewed as a novel approach to alertness in order to demonstrate the need to include opportunity identification processes in studies on managing for public sector entrepreneurship. Consequently, the results are not generalizable to all public agencies.

This paper highlights processes of entrepreneurial opportunity identification concerning management practices in the public sector, which scholarship has traditionally ignored.

The Standing Committee of the House of Commons on Trade, presided over by LORD E. FITZMAURICE, met again on July 16th and proceeded with the Sale of Adulterated Butter Bill.

Civil society is increasingly digitized and virtual in many parts of the globalized world of today. The networked society and the invisible “second economy” (Arthur, 2011) which powers the developed and developing countries generate debates about the degree to which the benefits outweigh the potential hazards. Artificial intelligence (AI) powered by its machine learning underpin much of the digital networked systems, and “free” services such as search engines, paid for by the “tailored advertising” we get when we view webpages. Most now recognize that the helpful “suggestions” on the web are simply adverts personally targeted at individuals who have searched for information on a topic or visited a webpage with sponsored material and cookies.

There have been cases of major political misuse of data such as the voter manipulation by the Cambridge Analytica company. We are not just referring to the hacking and “fake news” used by some governments to influence the affairs of another country. Some organizations have used AI to cynically target consumers’ weaknesses, for example, in financial management (Larsson, 2018).

Perhaps more significantly the network technology is often promoted as having potential for improving civil society through “failsafe” or default forms of regulation using the embedded Apps in domestic equipment and algorithms in much the same manner it is suggested that automatic self-driving vehicles help to improve road safety by cautious driving and sticking to speed limits and so on (Cockburn, Jahdi, & Wilson, 2015, pp. 6–7). However, algorithms and the associated machine technology have also been described as a “black box” technology where even those people running the algorithms cannot always fully understand or explain how decisions are reached in diverse systems used to evaluate many things from medical care to credit rating and finance (Danaher et al., 2017). There are issues of the budding “surveillance society” emerging from the proliferating “intelligent” apps enabling corporate “spying” on our everyday lives as some hackers have done by tapping into baby monitoring systems in homes. In addition to hacking there are large power asymmetries involved as between commercial data users and the lay public who are often the data suppliers as their personal data are harvested each time the web is used.

Therefore, it is hardly surprising that, according to the Pew Research Center report by Aaron Smith, released in November 2018, over half of Americans surveyed found it unacceptable to use algorithms to make decisions with real-world consequences for humans. In the age of connectedness and the emergent internet of things many people are not yet ready to cede more control of their currently offline lives to current online technology. This chapter reviews arguments for and against algorithmic governance.

Machine learning systems may be efficient to a high degree without being unbiased in impact across different segments of society. AI may also be fully effective in its operation without even being fully understood because the decision-making is so arcane. Importantly, though, even for those systems that have some human mediation or supervision, societal regulation is aimed at ensuring ends and means are aligned with human social, political and economic justice and thus socially effective as well as being technically efficient. Consequently, these systems have to require socio-emotional as well as cognitive safeguards. Although levels of implicit trust may vary demographically as between say millennials and baby boomers, high levels of trust, accountability and a culture of moral integrity must still form the bedrock for societal benefits.