Algorithms silently structure our lives. Algorithms can determine whether someone is hired, promoted, offered a loan, or provided housing as well as determine which political ads and news articles consumers see. Yet, the responsibility for algorithms in these important decisions is not clear. This article identifies whether developers have a responsibility for their algorithms later in use, what those firms are responsible for, and the normative grounding for that responsibility. I conceptualize algorithms as value-laden, rather than neutral, in that algorithms (...) create moral consequences, reinforce or undercut ethical principles, and enable or diminish stakeholder rights and dignity. In addition, algorithms are an important actor in ethical decisions and influence the delegation of roles and responsibilities within these decisions. As such, firms should be responsible not only for the value-laden-ness of an algorithm but also for designing who-does-what within the algorithmic decision. As such, firms developing algorithms are accountable for designing how large a role individual will be permitted to take in the subsequent algorithmic decision. Counter to current arguments, I find that if an algorithm is designed to preclude individuals from taking responsibility within a decision, then the designer of the algorithm should be held accountable for the ethical implications of the algorithm in use. (shrink)

In this article, we will outline the principles of stakeholder capitalism and describe how this view rejects problematic assumptions in the current narratives of capitalism. Traditional narratives of capitalism rely upon the assumptions of competition, limited resources, and a winner-take-all mentality as fundamental to business and economic activity. These approaches leave little room for ethical analysis, have a simplistic view of human beings, and focus on value-capture rather than value-creation. We argue these assumptions about capitalism are inadequate and leave four (...) problems in their wake. We wish to reframe the narrative of capitalism around the reinforcing concepts of stakeholders coupled with value creation and trade. If we think about how a society can sustain a system of voluntary value creation and trade, then capitalism can once more become a useful concept. (shrink)

Firms use algorithms to make important business decisions. To date, the algorithmic accountability literature has elided a fundamentally empirical question important to business ethics and management: Under what circumstances, if any, are algorithmic decision-making systems considered legitimate? The present study begins to answer this question. Using factorial vignette survey methodology, we explore the impact of decision importance, governance, outcomes, and data inputs on perceptions of the legitimacy of algorithmic decisions made by firms. We find that many of the procedural governance (...) mechanisms in practice today, such as notices and impact statements, do not lead to algorithmic decisions being perceived as more legitimate in general, and, consistent with legitimacy theory, that algorithmic decisions with good outcomes are perceived as more legitimate than bad outcomes. Yet, robust governance, such as offering an appeal process, can create a legitimacy dividend for decisions with bad outcomes. However, when arbitrary or morally dubious factors are used to make decisions, most legitimacy dividends are erased. In other words, companies cannot overcome the legitimacy penalty of using arbitrary or morally dubious factors, such as race or the day of the week, with a good outcome or an appeal process for individuals. These findings add new perspectives to both the literature on legitimacy and policy discussions on algorithmic decision-making in firms. (shrink)

While the ethics of technology is analyzed across disciplines from science and technology studies, engineering, computer science, critical management studies, and law, less attention is paid to the role that firms and managers play in the design, development, and dissemination of technology across communities and within their firm. Although firms play an important role in the development of technology, and make associated value judgments around its use, it remains open how we should understand the contours of what firms owe society (...) as the rate of technological development accelerates. We focus here on digital technologies: devices that rely on rapidly accelerating digital sensing, storage, and transmission capabilities to intervene in human processes. This symposium focuses on how firms should engage ethical choices in developing and deploying these technologies. In this introduction, we, first, identify themes the symposium articles share and discuss how the set of articles illuminate diverse facets of the intersection of technology and business ethics. Second, we use these themes to explore what business ethics offers to the study of technology and, third, what technology studies offers to the field of business ethics. Each field brings expertise that, together, improves our understanding of the ethical implications of technology. Finally we introduce each of the five papers, suggest future research directions, and interpret their implications for business ethics. (shrink)

Recent scholarship in philosophy, law, and information systems suggests that respecting privacy entails understanding the implicit privacy norms about what, why, and to whom information is shared within specific relationships. These social contracts are important to understand if firms are to adequately manage the privacy expectations of stakeholders. This paper explores a social contract approach to developing, acknowledging, and protecting privacy norms within specific contexts. While privacy as a social contract—a mutually beneficial agreement within a community about sharing and using (...) information—has been introduced theoretically and empirically, the full impact on firms of an alternative framework to respecting the privacy expectations of stakeholders has not been examined. The goal of this paper is to examine how privacy norms develop through social contract’s narrative, to redescribe privacy violations given the social contract approach, and to critically examine the role of business as a contractor in developing privacy norms. A social contract narrative dealing specifically with issues of privacy is an important next step in exploring a social contract approach to privacy. Here, the narrative is used to explain to analyze the dynamic process of privacy norm generation within particular communities. Based on this narrative, individuals within a given community discriminately share information with a particular set of obligations in mind as to who has access to the information and how it will be used. Rather than giving away privacy, individuals discriminately share information within a particular community and with norms governing the use of their information. Similar to contractual business ethics’ impact on global commerce in explaining how and why norms vary across global contexts, the social contract approach to privacy explains how and why norms vary across communities of actors. Focusing on agreements around privacy expectations shifts the responsibility of firms from adequate notification to the responsibility of firms as contractors to maintain a mutually beneficial and sustainable solution. (shrink)

Public trust in business, defined as the degree to which the public—meaning society at large—trusts business in general, is largely understudied. This article suggests four domains of existing trust research from which scholars of public trust in business can draw. The authors then propose four main hypotheses, which aim to predict the determinants of public trust, and test these hypotheses using a factorial vignette methodology. These results will provide scholars with more direction as this article is, to the authors’ knowledge, (...) one of the first empirical studies of public trust. Furthermore, the study will enable those companies interested in increasing public trust to understand better respective determinants of public trust. (shrink)

Declining levels of stakeholder trust in business are of concern to business executives and scholars for legitimacy- and performance-related effects. Research in the area of stakeholder trust in business is nascent; therefore, the trust formation process has been rarely examined at the stakeholder level. Furthermore, the role of personal values as one significant influence in trust formation has been under-researched. In this paper, we develop a contingency model for stakeholder trust formation based on the effects of stakeholder-specific vulnerability and personal (...) values of the trustor. Using a factorial vignette methodology, we find that Schwartz’s value set interacts with stakeholder roles so that trustworthiness signals of competence and character play differing roles during trust formation. These results inform stakeholder trust research, organizational trust research, and research in personal values. The research also informs managers tasked with rebuilding stakeholder trust in business. (shrink)

The purpose of this paper is to draw out and make explicit the assumptions made in the treatment of technology within business ethics. Drawing on the work of Freeman (1994, 2000) on the assumed separation between business and ethics, we propose a similar separation exists in the current analysis of technology and ethics. After first identifying and describing the separation thesis assumed in the analysis of technology, we will explore how this assumption manifests itself in the current literature. A different (...) stream of analysis, that of science and technology studies (STS), provides a starting point in understanding the interconnectedness of technology and society. As we will demonstrate, business ethicists are uniquely positioned to analyze the relationship between business, technology, and society. The implications of a more complex and rich definition of lsquotechnologyrsquo ripple through the analysis of business ethics. Finally, we propose a pragmatic approach to understanding technology and explore the implications of such an approach to technology. This new approach captures the broader understanding of technology advocated by those in STS and allows business ethicists to analyze a broader array of dilemmas and decisions. (shrink)

ABSTRACT:The oft-cited privacy paradox is the perceived disconnect between individuals’ stated privacy expectations, as captured in surveys, and consumer market behavior in going online: individuals purport to value privacy yet still disclose information to firms. The goal of this paper is to empirically examine the conceptualization of privacy postdisclosure assumed in the privacy paradox. Contrary to the privacy paradox, the results here suggest consumers retain strong privacy expectations even after disclosing information. Privacy violations are valued akin to security violations in (...) creating distrust in firms and in consumer willingness to engage with firms. This paper broadens the scope of corporate responsibility to suggest firms have a positive obligation to identify reasonable expectations of privacy of consumers. In addition, research perpetuating the privacy paradox, through the mistaken framing of disclosure as proof of anti-privacy behavior, gives license to firms to act contrary to the interests of consumers. (shrink)

A mainstay of stakeholder management is the belief that firms create value when they invest more time, money, and attention to stakeholders than is necessary for the immediate transaction. This tendency to repeat interactions with the same set of stakeholders fosters what we call stakeholder friction. Stakeholder friction is a term for the collection of social, legal, and economic forces leading firms to prioritize and reinvest in current stakeholders. For many stakeholder scholars, such friction is close to universally beneficial, but (...) the associated costs—to both the firm and legitimate stakeholders—have been underspecified. Failure to account for the effects of stakeholder friction can cause managers to under-allocate attention and value to some legitimate stakeholders and to over-allocate attention and value to current stakeholders. We examine the concept of stakeholder friction and elaborate on three exemplar sources of friction prominent in the stakeholder literature. This is followed by an analysis of investments in stakeholder relationships and a consideration of the implications of stakeholder friction on the ability of firms to prioritize stakeholders. The tendency to reinvest in current stakeholders has, in addition to the oft-discussed benefits, a predictable downside. (shrink)

Employee monitoring has raised concerns from all areas of society – business organizations, employee interest groups, privacy advocates, civil libertarians, lawyers, professional ethicists, and every combination possible. Each advocate has its own rationale for or against employee monitoring whether it be economic, legal, or ethical. However, no matter what the form of reasoning, seven key arguments emerge from the pool of analysis. These arguments have been used equally from all sides of the debate. The purpose of this paper is to (...) examine the seven key arguments that have been made with respect to employee monitoring. None of these arguments is conclusive and each calls for managerial and moral consideration. We conclude that a more comprehensive inquiry with ethical concern at the center is necessary to make further progress on understanding the complexity of employee monitoring. The final section of this paper sketches out how such an inquiry would proceed. (shrink)

A growing body of theory has focused on privacy as being contextually defined, where individuals have highly particularized judgments about the appropriateness of what, why, how, and to whom information flows within a specific context. Such a social contract understanding of privacy could produce more practical guidance for organizations and managers who have employees, users, and future customers all with possibly different conceptions of privacy across contexts. However, this theoretical suggestion, while intuitively appealing, has not been empirically examined. This study (...) validates a social contract approach to privacy by examining whether and how privacy norms vary across communities and contractors. The findings from this theoretical examination support the use of contractual business ethics to understand privacy in research and in practice. As predicted, insiders to a community had significantly different understandings of privacy norms as compared to outsiders. In addition, all respondents held different privacy norms across hypothetical contexts, thereby suggesting privacy norms are contextually understood within a particular community of individuals. The findings support two conclusions. First, individuals hold different privacy norms without necessarily having diminished expectations of privacy. Individuals differed on the factors they considered important in calculating privacy expectations, yet all groups had robust privacy expectations across contexts. Second, outsiders have difficulty in understanding the privacy norms of a particular community. For managers and scholars, this renders privacy expectations more difficult to identify at a distance or in deductive research. The findings speak directly to the needs of organizations to manage a diverse set of privacy issues across stakeholder groups. (shrink)

This paper investigates how the introduction of AI to decision making increases moral distance and recommends the ethics of care to augment the ethical examination of AI decision making. With AI decision making, face-to-face interactions are minimized, and decisions are part of a more opaque process that humans do not always understand. Within decision-making research, the concept of moral distance is used to explain why individuals behave unethically towards those who are not seen. Moral distance abstracts those who are impacted (...) by the decision and leads to less ethical decisions. The goal of this paper is to identify and analyze the moral distance created by AI through both proximity distance (in space, time, and culture) and bureaucratic distance (derived from hierarchy, complex processes, and principlism). We then propose the ethics of care as a moral framework to analyze the moral implications of AI. The ethics of care brings to the forefront circumstances and context, interdependence, and vulnerability in analyzing algorithmic decision making. (shrink)

Within Science and Technology Studies, much work has been accomplished to identify the moral importance of technology in order to clarify the influence of scientists, technologists, and managers. However, similar studies within business ethics have not kept pace with the nuanced and contextualized study of technology within Science and Technology Studies. In this article, I analyze current arguments within business ethics as limiting both the moral importance of technology and the influence of managers. As I argue, such assumptions serve to (...) narrow the scope of business ethics in the examination of technology. To reinforce the practical implications of these assumptions and to further illustrated the current arguments, I leverage the recent dialog around U.S. Internet technologies in China. The goal of this article is to broaden that which is morally salient and relevant to business managers and business ethicists in the analysis of technology by highlighting key lessons from seminal STS scholars. This article should be viewed as part of a nascent yet burgeoning dialog between business ethics and Science and Technology Studies - a dialog that benefits both fields of study. (shrink)

Privacy issues surrounding the use of social media sites have been apparent over the past ten years. Use of such sites, particularly Facebook, has been increasing and recently business organizations have begun using Facebook as a means of connecting with potential customers or clients. This paper presents an empirical study of perceived privacy violations to examine factors that influence the expectations of privacy on Facebook. Results of the study suggest that the more important Facebook is to users, the more likely (...) they are to perceive privacy violations and the more likely those violations are to be considered serious. Furthermore, how information is used is more important than the way this information is accessed. (shrink)

The algorithmic accountability literature to date has primarily focused on procedural tools to govern automated decision-making systems. That prescriptive literature elides a fundamentally empirical question: whether and under what circumstances, if any, is the use of algorithmic systems to make public policy decisions perceived as legitimate? The present study begins to answer this question. Using factorial vignette survey methodology, we explore the relative importance of the type of decision, the procedural governance, the input data used, and outcome errors on perceptions (...) of the legitimacy of algorithmic public policy decisions as compared to similar human decisions. Among other findings, we find that the type of decision—low importance versus high importance—impacts the perceived legitimacy of automated decisions. We find that human governance of algorithmic systems increases perceptions of the legitimacy of algorithmic decision-making systems, even when those decisions are likely to result in significant errors. Notably, we also find the penalty to perceived legitimacy is greater when human decision-makers make mistakes than when algorithmic systems make the same errors. The positive impact on perceived legitimacy from governance—such as human-in-the-loop—is greatest for highly pivotal decisions such as parole, policing, and healthcare. After discussing the study’s limitations, we outline avenues for future research. (shrink)

Organizations have a vested interest in customers, employees, and users to disclose information within existing expectations of privacy. This empirical examination uses theoretical sampling and experimental design to identify the factors individuals consider when disclosing information within privacy expectations. The findings from a factorial vignette survey are theoretically generalizable and show that an individual’s relationship to the recipient (familiarity) and the degree to which the information is protected from being easily transferred to others (friction) positively influence the odds that disclosure (...) is judged to be withinprivacy expectations. The results have implications for data gathering and management of customer, user, and employee information, and suggest a two pronged strategy for organizations targeting the disclosure of information by individuals inside and outside the organization: (1) taking into consideration the familiarity of the recipient and (2) increasing the information friction of the environment. (shrink)

While decision making scholarship in management has specifically addressed the objectivist assumptions within the rational choice model, a similar move within business ethics has only begun to occur. Business ethics scholarship remains primarily based on rational choice assumptions. In this article, we examine the managerial decision making literature in order to illustrate equivocality within the rational choice model. We identify four key assumptions in the decision making literature and illustrate how these assumptions affect decision making theory, research, and practice within (...) the purview of business ethics. Given the breadth of disciplines and approaches within management decision making scholarship, a content analysis of management decision making scholarship produces a greater range of assumptions with finer granularity than similar scholarship within business ethics. By identifying the core assumptions within decision making scholarship, we start a conversation about why, how, and to what effect we make assumptions about decision making in business ethics theory, research, and practice. Examining the range of possible assumptions underlying current scholarship will hopefully clarify the conversation and provide a platform for future business ethics research. (shrink)

Within a given conversation or information exchange, do privacy expectations change based on the technology used? Firms regularly require users, customers, and employees to shift existing relationships onto new information technology, yet little is known as about how technology impacts established privacy expectations and norms. Coworkers are asked to use new information technology, users of gmail are asked to use GoogleBuzz, patients and doctors are asked to record health records online, etc. Understanding how privacy expectations change, if at all, and (...) the mechanisms by which such a variance is produced will help organizations make such transitions. This paper examines whether and how privacy expectations change based on the technological platform of an information exchange. The results suggest that privacy expectations are significantly distinct when the information exchange is located on a novel technology as compared to a more established technology. Furthermore, this difference is best explained when modeled by a shift in privacy expectations rather than fully technology-specific privacy norms. These results suggest that privacy expectations online are connected to privacy offline with a different base privacy expectation. Surprisingly, out of the five locations tested, respondents consistently assign information on email the greatest privacy protection. In addition, while undergraduate students differ from non-undergraduates when assessing a social networking site, no difference is found when judging an exchange on email. In sum, the findings suggest that novel technology may introduce temporary conceptual muddles rather than permanent privacy vacuums. The results reported here challenge conventional views about how privacy expectations differ online versus offline. Traditionally, management scholarship examines privacy online or with a specific new technology platform in isolation and without reference to the same information exchange offline. However, in the present study, individuals appear to have a shift in their privacy expectations but retain similar factors and their relative importance—the privacy equation by which they form judgments—across technologies. These findings suggest that privacy scholarship should make use of existing privacy norms within contexts when analyzing and studying privacy in a new technological platform. (shrink)