Risk management has become a vital topic both in academia and practice during the past several decades. Most business intelligence tools have been used to enhance risk management, and the risk management tools have benefited from business intelligence approaches. This introductory article provides a review of the state-of-the-art research in business intelligence in risk management, and of the work that has been actepted for publication in this issue.

Ambient Intelligence, often also referred to as Pervasive Computing, Ubiquitous Computing or Context-Aware Computing, is supposed to have a lot of advantages for future business information processing. However, as in many cases, technological developments do not only provide opportunities, improve work conditions and make life more comfort for customers, but they also give rise to new problems. Aim of this paper is to discuss the pros and cons of Ambient Intelligence for future business intelligence on (...) the basis of two scenarios. The first scenario deals with next generation manufacturing, the so-called smart factory. The second scenario is about different concepts of actuarial fairness based on Ambient Intelligence technology in the insurance industry, mainly different pay-as-you-drive-solutions. The infringement upon privacy is identified as main problem in both scenarios. Besides an in-depth discussion on this which opens up a much broader view on Ambient Intelligence in future business intelligence, different technical solutions are to be roughly outlined that could help to avoid some crucial problems. (shrink)

One of the hottest topics in business today is competitive intelligence, the effort by a company to obtain enough information about its competitors to give it a strategic edge over them in the marketplace. During the past decade, a number of books have been written in this country advising business managers on how to mine various sources of public information for this purpose: trade shows, public speeches by company executives, articles in obscure journals, and government agencies like (...) the Food and Drug Administration. Some large companies have even hired former FBI and CIA personnel to help them develop more effective in-house intelligence-gathering capabilities. (shrink)

In recent years, we have experienced some revival of society''s concerns with the ethics of business practices as a result of several scandals. However, severe competitive pressures seem to continue to force executives to resort to marginally ethical ways that would provide knowledge about competitors'' operations. Therefore, an empirical study was conducted during Spring and Summer of 1991 about information gathering methods by businesses regarding operations of competitors. Respondents were employed in a variety of different industries. A convenience sample (...) was administered in two adjoining states, with one group residing in an urban city and the other in smaller predominantly rural communities.Analysis of perceptions held by these two groups supports the hypothesis that rural residents tend to be more conservative and less approving of questionable methods of information gathering. Similarly, within each group and in the sample as a whole, differences in condoning or disapproving information gathering methods were discovered on the basis of demographic characteristics of respondents. (shrink)

A review of the strategic management, policy, information management, and the marketing literature reveals that many large and medium sized companies now collect and use business intelligence. The number of firms engaging in these activities is increasing rapidly.While the whys and hows of this practice have been discussed in the academic and professional literature, the ethics of intelligence gathering have not been adequately discussed in a public forum. This paper is intended to generate discussion by advancing criteria (...) which could be used as the basis for judging actions of those involved in business intelligence and for creating reasonable policies in this sensitive area of practice. (shrink)

One of the main assumptions of mathematical tools in science is represented by the idea of measurability and additivity of reality. For discovering the physical universe additive measures such as mass, force, energy, temperature, etc. are used. Economics and conventional business intelligence try to continue this empiricist tradition and in statistical and econometric tools they appeal only to the measurable aspects of reality. However, a lot of important variables of economic systems cannot be observable and additive in principle. (...) These variables can be called symbolic values or symbolic meanings and studied within symbolic interactionism, the theory developed since George Herbert Mead and Herbert Blumer. In statistical and econometric tools of business intelligence we accept only phenomena with causal connections measured by additive measures. In the paper we show that in the social world we deal with symbolic interactions which can be studied by non-additive labels. For accepting the variety of such phenomena we should avoid additivity of basic labels and construct a new probabilistic method in business intelligence based on non-Archimedean probabilities. (shrink)

We have proposed to use some features of swarm behaviours in modelling business processes. Due to these features we deal with a propagation of business processes in all accessible directions. This propagation is involved into our formalization instead of communicating sequential processes. As a result, we have constructed a business process diagram language based on the swarm behavior and an extension of that language in the form of reflexive management language.

Abstract -- Background, context, overview, and guiding philosophy -- Emotional intelligence meets virtue ethics : implications for educators -- Emotional intelligence as a component of business ethics pedagogy -- Nourishing life, the daoist concept of virtue -- Cultivation of virtue (dé) 1 according to the neiye -- Cultivation of virtuous leaders according to the huainanzi -- Is there a place for contemplation and inner work in business ethics education? -- Incorporating the inner work of ei and (...) contemplation in ethics education -- Glossary -- About the author. (shrink)

Business simulation games (BSGs) have been widely used in entrepreneurship education with positive effects. However, there are still some deficiencies in the BSGs, such as limited guidance, low uncertainty and limited simulation environment, which make it impossible to exert the maximum effect. Artificial intelligence (AI) can solve the above shortcomings. The combination of AI and BSGs is the possible development direction of BSGs. But how to effectively combine BSGs with AI is still an open question. Using a quasi-experimental (...) design, this study uses fuzzy-set qualitative comparative analysis to analyze how participants’ entrepreneurial attitude changes in BSGs. The results show that BSGs can effectively improve entrepreneurial attitude, and there are four types of promotion configurations. These four configurations consist of five antecedent conditions. According to the above conclusions, AI can improve entrepreneurial attitude in BSGs in various ways, such as simulating competitors, providing targeted feedback for failures, and improving game experience. The contribution of this paper is to highlight the possibility of combining AI with BSGs, and to provide suggestions on how AI can intervene in BSGs. (shrink)

The object of the study is artificial intelligence technology in Chinese show business. The subject of the study is the following technologies of Chinese show business, at the basis of which we can find an artificial intelligence: virtual idols, digital avatars, virtual influencers. The following aspects of these technologies are considered in detail: making a profit, strengthening national identity. Special attention is focused on the fact that the development of artificial intelligence technology is part of (...) the state policy of the People's Republic of China, which is reflected in the country's regulatory legal acts. The theoretical basis of the study is the work of the following authors: A.M. Gridnev, G. A. Ioakimidi, M. D. Pysin, K. F. Lee, H. Khan and others. The following methods are used in the article: analysis of special literature, publications of mass media, normative legal acts, synthesis, deduction. The study showed that virtual idols and influencers such as "Xiangwan Big Devil", digital copies of celebrities (B. Sa, S. Zhu, B. Gao, Ya. Long) and presenter Xiao Xi bring additional profits and attract an audience, as well as strengthen the national image and unity of China. The scientific novelty of this study lies in the detailed systematization of information and cultural analysis of the phenomenon of "virtual influencer", which is gaining popularity in the modern digital world. The results of the study provide valuable data for the development and implementation of artificial intelligence strategies in China, especially in such areas as industry, defense, social sphere and show business. These findings contribute to the formation of standards and ethical principles for artificial intelligence, which is critically important for the successful digital transformation of the country. The study highlights China's strategic goals of using AI as a driver of modernization of the national economy by 2030. The document identifies key stages of development and goals, including the development of standards and the widespread introduction of AI in various sectors. China views AI as an important tool to strengthen its position on the world stage, striving to become a leader in high technology, which will undoubtedly have a significant impact on the global economy and the development of technological innovations. (shrink)

This research looks at how mindfulness can contribute to business ethics education in MBA programmes. Mediation analysis was used to measure the influence of mindfulness on the participants’ performance in business ethics related courses and to quantify the influence of emotional intelligence which is a mediating variable. The effectiveness of mindfulness was evaluated using a Randomised Controlled Trial on participants of Executive MBA programmes. Half the participants were assigned to the intervention group and the other half placed (...) on the waiting list for the next programme and used as the control group. Statistical analysis revealed that the increase in performance in business ethics related courses through mindfulness as also direct increase through emotional intelligence were significant. 40% of the enhancement of performance came through emotional intelligence while the remaining 60% came directly from mindfulness. (shrink)

This research investigates the efficacy of business ethics intervention, tests a theoretical model that the love of money is directly or indirectly related to propensity to engage in unethical behavior (PUB), and treats college major (business vs. psychology) and gender (male vs. female) as moderators in multi-group analyses. Results suggested that business students who received business ethics intervention significantly changed their conceptions of unethical behavior and reduced their propensity to engage in theft; while psychology students without (...) intervention had no such changes. Therefore, ethics training had some impacts on business students' learning and education (intelligence). For our theoretical model, results of the whole sample (N = 298) revealed that Machiavellianism (measured at Time 1) was a mediator of the relationship between the love of money (measured at Time 1) and unethical behavior (measured at Time 2) (the Love of Money → Machiavellianism → Unethical Behavior). Further, this mediating effect existed for business students (n = 198) but not for psychology students (n = 100), for male students (n = 165) but not for female students (n = 133), and for male business students (n = 128) but not for female business students (n = 70). Moreover, when examined alone, the direct effect (the Love of Money → Unethical Behavior) existed for business students but not for psychology students. We concluded that a short business ethics intervention may have no impact on the issue of virtue (wisdom). (shrink)

Artificial Neural Networks have reached “grandmaster” and even “super-human” performance across a variety of games, from those involving perfect information, such as Go, to those involving imperfect information, such as “Starcraft”. Such technological developments from artificial intelligence (AI) labs have ushered concomitant applications across the world of business, where an “AI” brand-tag is quickly becoming ubiquitous. A corollary of such widespread commercial deployment is that when AI gets things wrong—an autonomous vehicle crashes, a chatbot exhibits “racist” behavior, automated (...) credit-scoring processes “discriminate” on gender, etc.—there are often significant financial, legal, and brand consequences, and the incident becomes major news. As Judea Pearl sees it, the underlying reason for such mistakes is that “... all the impressive achievements of deep learning amount to just curve fitting.” The key, as Pearl suggests, is to replace “reasoning by association” with “causal reasoning” —the ability to infer causes from observed phenomena. It is a point that was echoed by Gary Marcus and Ernest Davis in a recent piece for theNew York Times: “we need to stop building computer systems that merely get better and better at detecting statistical patterns in data sets—often using an approach known as ‘Deep Learning’—and start building computer systems that from the moment of their assembly innately grasp three basic concepts: time, space, and causality.” In this paper, foregrounding what in 1949 Gilbert Ryle termed “a category mistake”, I will offer an alternative explanation for AI errors; it is not so much that AI machinery cannot “grasp” causality, but that AI machinery (qua computation) cannot understand anything at all. (shrink)

Monetary intelligence theory asserts that individuals apply their money attitude to frame critical concerns in the context and strategically select certain options to achieve financial goals and ultimate happiness. This study explores the dark side of monetary Intelligence and behavioral economics—dishonesty. Dishonesty, a risky prospect, involves cost–benefit analysis of self-interest. We frame good or bad barrels in the environmental context as a proxy of high or low probability of getting caught for dishonesty, respectively. We theorize: The magnitude and (...) intensity of the relationship between love of money and dishonest prospect may reveal how individuals frame dishonesty in the context of two levels of subjective norm—perceived corporate ethical values at the micro-level and Corruption Perceptions Index at the macro-level, collected from multiple sources. Based on 6382 managers in 31 geopolitical entities across six continents, our cross-level three-way interaction effect illustrates: As expected, managers in good barrels, mixed barrels, and bad barrels display low, medium, and high magnitude of dishonesty, respectively. With high CEV, the intensity is the same across cultures. With low CEV, the intensity of dishonesty is the highest in high CPI entities —the Enron Effect, but the lowest in low CPI entities. CPI has a strong impact on the magnitude of dishonesty, whereas CEV has a strong impact on the intensity of dishonesty. We demonstrate dishonesty in light of monetary values and two frames of social norm, revealing critical implications to the field of behavioral economics and business ethics. (shrink)

The world’s current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive environmental outcomes. Transitioning to a circular economy (CE) model of development has been proposed as a sustainable alternative. Artificial intelligence (AI) is a crucial enabler for CE. It can aid in designing robust and sustainable products, facilitate new circular business models, and support the broader infrastructures needed to scale circularity. However, to date, considerations of the ethical (...) implications of using AI to achieve a transition to CE have been limited. This article addresses this gap. It outlines how AI is and can be used to transition towards CE, analyzes the ethical risks associated with using AI for this purpose, and supports some recommendations to policymakers and industry on how to minimise these risks. (shrink)

With an emphasis on psychoanalytic theory, Business, Ethics and Society: Key Concepts, Current Debates and Contemporary Innovations provides a clear, concise introduction to the field of business ethics, while addressing contemporary issues and debates around the impacts of artificial intelligence, social media, the gig economy and populist politics on business and society. The book features mini-case studies from a variety of contexts and companies, including Gillette, Nike, Dove, British Airways and Microsoft, as well as thought-provoking questions (...) throughout. Also included are: - Learning objectives - Chapter summaries - Recommended reading Business, Ethics and Society: Key Concepts, Current Debates and Contemporary Innovations serves as an ideal introductory text for students of undergraduate business ethics-related courses. Lecturers can access a range of online resources for use in their teaching, including an instructor's manual, PowerPoint slides and SAGE Business Cases. (shrink)

The Intelligent Nation proposes a systemic and radical transformation of the organisation, management, ownership and performance of the services of the state by capitalising on the potential offered by contemporary information capability and fulfilling the rights and obligations both to and of citizens. In this book, John Beckford shows how, by adopting the principles of an intelligent organisation, the state can thrive and meet the needs of its citizens. He proposes a complete rethink of the state as the enabler or (...) provider of public services. In particular, he points to the failure of the public sector to significantly emulate the massive gains in productivity and customer focus experienced in both manufacturing and services (e.g. finance, retailing, insurance). Governance and all public services must be redesigned to align to the contemporary needs of the citizen and exploit the power of information to enable a transformation of their effectiveness, redefine efficiency, and support human-based services in crucial areas. Each chapter provides the key learning points, a discussion of the problem in theory and practice, integrated case studies, and discussion points. Written in an accessible style, the book provides thought-provoking supplemental reading for masters and undergraduate students reading organization theory, organization development, political science, public administration, healthcare, information systems, and business and management science. (shrink)

The lifeblood of every developed nation is entrepreneurs, people who set out to build their own destiny and achieve fame and fortune. Yet 30% of all new businesses in Australia fail before their first year is finished; in the US 44% of enterprises have closed their doors by the 3rd year. Why do some entrepreneurs succeed while others struggle to realise their dream? Phillip Di Bella began Di Bella Coffee in 2002 with $5000 in his pocket. Within 4 years the (...) company had made BRW's Top 100 Fastest Growing list, with Phillip named among the top 100 young rich. Phillip has turned his knowledge of coffee into a multi-million dollar business, yet his ambitions and dreams were no different than the thousands who dream of an empire and embark on their own journey every year to achieve success. This book is about the formula that drove his success; the same formula that drives the success of every great entrepreneur. The formula is simply called entrepreneurial intelligence. It is required reading for any entrepreneur who wants to survive the cut, and prosper. (shrink)

This study evaluated how call center agents manage their emotions when interacting with customers with different emotional states. The coping mechanisms employees develop through experience can impact their communication and satisfaction with customer service. A study was conducted using a descriptive-correlational design in three Business Process Outsourcing companies in Cebu City, Philippines. The study aimed to determine employees' agreement and effectiveness in self-awareness, self-management, social awareness, and relationship management. An online sample size calculator was used to gather data, and (...) 150 respondents were chosen out of 243 call center agents. The data was analyzed using simple frequency, percentage, weighted mean, and ANOVA type III. The study indicates that age is crucial in the respondents' self-management (F ratio= 3,146, p= .412). This suggests that BPO employees become better at managing themselves as they get older. Additionally, the study respondents' monthly income significantly impacts their social awareness level (F ratio= 5,144, p= .040). This means that those with higher incomes tend to have greater social awareness than those with lower incomes. The BPO industry should prioritize candidates with high emotional intelligence during hiring. They can better adapt to the fast-paced work environment. Graveyard shift workers should receive higher wages and benefits. Employees should attend workshops on management, leadership, and emotional intelligence. Annual team-building events should also be considered for a positive work environment. (shrink)

As business ethics is grappling with criticisms of its relevance for ethical practice, it may find perspective and direction in various conceptions of ethos. While ‘ethics’ is rooted in ‘ethos’, a term with a long and rich history of interdisciplinary research, conceptions of ethos are so far scarcely discussed in business ethics. The purpose of this conceptual article is to explore the potential of a pivot towards business ethics as an ethos-driven practice, drawing on John Dewey’s work. (...) First, it introduces four conceptions of ethos from interdisciplinary research and explores their varied resonance in business ethics. Second, it offers a unified conception of ethos that builds on John Dewey’s approach to economics, moral life and ethics, particularly on his understanding of habits and forms of valuation. It is then argued that understanding ethos in terms of ‘valued modes of embedded, embodied and associational conduct’ encourages business ethics to engage in the intelligent, practical and meaningful reconstruction of evolving business practices. The article concludes that an ‘ ethotical turn’ for business ethics would not only invigorate practical, corporeal and environmental perspectives but also open the field to interdisciplinary insights and ideas. (shrink)

L'intelligence économique constitue une nouvelle culture et une nouvelle pratique pour les acteurs économiques. Elle repose sur des actions de veille, de sécurité économique et d'influence. Elle répond à des modifications profondes de l'environnement global des entreprises. L'intelligence économique se structure aujourd'hui en une véritable profession et travaille activement à se doter d'un cadre déontologique.Business intelligence is a new culture and a new practice for economic actors. It is based on shares of watchkeeping, safety and economic (...) influence. It responds to profound changes in the global business environment. The intelligence structure is now a real profession and is actively working to develop an ethical framework. (shrink)

In recent years there has been a substantial amount of research on emotional intelligence (EI) across a wide range of disciplines. Also, this term has been receiving increasing attention in the popular business press. This article extends previous research by seeking to determine whether there is a relationship between emotional intelligence and ethical judgment among practicing managers with respect to questions of ethical nature that can arise in their professional activity. It analyzes the results of a survey (...) of 324 managers enrolled in executive MBA programs from five universities in the southeastern and northeastern United States. This study is based on a model presented by Forsyth showing two dimensions that play an important role in ethical evaluation and behavior. Respondents were classified into one of four groups according to their idealism and relativism levels—situationists, subjectivists, absolutists, and exceptionists. The four ideological group’s scores were compared. The results indicate significant differences between the situationists and absolutists on the one hand, and subjectivists and exceptionists on the other. The former’s emotional intelligence scores were significantly higher thus demonstrating a strong relationship between emotional intelligence and ethical ideology. The results raise important implications for practitioners and educators. (shrink)

Monetary Intelligence theory asserts that individuals apply their money attitude to frame critical concerns in the context and strategically select certain options to achieve financial goals and ultimate happiness. This study explores the bright side of Monetary Intelligence and behavioral economics, frames money attitude in the context of pay and life satisfaction, and controls money at the macro-level and micro-level. We theorize: Managers with low love of money motive but high stewardship behavior will have high subjective well-being: pay (...) satisfaction and quality of life. Data collected from 6586 managers in 32 cultures across six continents support our theory. Interestingly, GDP per capita is related to life satisfaction, but not to pay satisfaction. Individual income is related to both life and pay satisfaction. Neither GDP nor income is related to Happiness. Our theoretical model across three GDP groups offers new discoveries: In high GDP entities, “high income” not only reduces aspirations—“Rich, Motivator, and Power,” but also promotes stewardship behavior—“Budget, Give/Donate, and Contribute” and appreciation of “Achievement.” After controlling income, we demonstrate the bright side of Monetary Intelligence: Low love of money motive but high stewardship behavior define Monetary Intelligence. “Good apples enjoy good quality of life in good barrels.” This notion adds another explanation to managers’ low magnitude of dishonesty in entities with high Corruption Perceptions Index. In low GDP entities, high income is related to poor Budgeting skills and escalated Happiness. These managers experience equal satisfaction with pay and life. We add a new vocabulary to the conversation of monetary intelligence, income, GDP, happiness, subjective well-being, good and bad apples and barrels, corruption, and behavioral ethics. (shrink)

Our social relations are changing, we are now not just talking to each other, but we are now also talking to artificial intelligence (AI) assistants. We claim AI assistants present a new form of digital connectivity risk and a key aspect of this risk phenomenon is related to user risk awareness (or lack of) regarding AI assistant functionality. AI assistants present a significant societal risk phenomenon amplified by the global scale of the products and the increasing use in healthcare, (...) education, business, and service industry. However, there appears to be little research concerning the need to not only understand the changing risks of AI assistant technologies but also how to frame and communicate the risks to users. How can users assess the risks without fully understanding the complexity of the technology? This is a challenging and unwelcome scenario. AI assistant technologies consist of a complex ecosystem and demand explicit and precise communication in terms of communicating and contextualising the new digital risk phenomenon. The paper then argues for the need to examine how to best to explain and support both domestic and commercial user risk awareness regarding AI assistants. To this end, we propose the method of creating a risk narrative which is focused on temporal points of changing societal connectivity and contextualised in terms of risk. We claim the connectivity risk narrative provides an effective medium in capturing, communicating, and contextualising the risks of AI assistants in a medium that can support explainability as a risk mitigation mechanism. (shrink)

The potential societal impacts of automation using intelligent control and communications technologies have emerged as topics in a number of recent writings and public policy initiatives. Many of these expressions have referenced the writings and research efforts of Herbert Simon (1961), Norbert Wiener (1948), and contemporaries from their early technological and social vantage points concerning the future of technology and society. Constructed entities labeled as “thinking machines” (such as IBM’s Watson as well as intelligent chatbot and robotic systems) have also (...) played significant roles in this discourse. This paper provides an historical sequencing then analyzes a selection of writings produced since the 1940s concerning the economic and social issues involving artificial intelligence (AI) research and applications. The paper explores how overstatements and hyperbolic themes and concepts, often stemming from AI’s early periods, are being employed in characterizations of current AI approaches in apparently opportunistic attempts to provide rhetorical support for various large-scale business and societal initiatives. It also addresses the relative neglect of the consideration of many of AI’s sociotechnical failures and discontinued approaches in recent examinations of automation and social welfare issues. The paper discusses the moral logic of AI researchers and developers providing reasonable and measured narratives in public discourse rather than hyperbole, efforts that can empower decision makers to make sounder judgments concerning the technology’s current and future applications as well as allocate the rewards of the technology more equitably. (shrink)

Several technological developments, such as self-service technologies and artificial intelligence, are disrupting the retailing industry by changing consumption and purchase habits and the overall retail experience. Although AI represents extraordinary opportunities for businesses, companies must avoid the dangers and risks associated with the adoption of such systems. Integrating perspectives from emerging research on AI, morality of machines, and norm activation, we examine how individuals morally behave toward AI agents and self-service machines. Across three studies, we demonstrate that consumers’ moral (...) concerns and behaviors differ when interacting with technologies versus humans. We show that moral intention is less likely to emerge for AI checkout and self-checkout machines compared with human checkout. In addition, moral intention decreases as people consider the machine less humanlike. We further document that the decline in morality is caused by less guilt displayed toward new technologies. The non-human nature of the interaction evokes a decreased feeling of guilt and ultimately reduces moral behavior. These findings offer insights into how technological developments influence consumer behaviors and provide guidance for businesses and retailers in understanding moral intentions related to the different types of interactions in a shopping environment. (shrink)

Tennis players have more physical training content, and the training items are complex. For athletes, training programs that adapt to their individual characteristics should be formulated according to their physical characteristics. The current development of big data has brought about changes in thinking, management, and business models. The combination of complex systems and big data can also make breakthroughs in the sports field. Based on this, this article proposes a tennis player training schedule intelligent formulation system based on complex (...) system big data. First of all, this article adopts the literature data method, comparative analysis method, experimental analysis method, etc., in-depth study of the concepts of big data, complex system, and the physical structure characteristics of tennis sports. This paper designs an intelligent system for making tennis players’ training schedule, which collects, transforms, and integrates tennis training data through the characteristics of big data. Then, the dynamic time regulation of tennis is performed through a complex system, and finally, the experimental system is analyzed. This article mainly analyzes the comparison of physical indicators between the experimental group and the control group before and after the experiment, the evaluation indicators of sports events, the strength training effects of tennis events, and the analysis of shoulder joint tests. There is no significant difference between the experimental group and the control group in the items before the experiment, P > 0.05, which suggests that the physical fitness of the two groups of athletes is similar; in the posttest data, the experimental group and the control group have significant differences, P < 0.05, indicating an effect from the experiment. In particular, in fan running, forward and backward strokes, and the serve, the scores of the experimental group were higher than those of the control group, indicating that the use of the formulated training system demonstrated significant results. (shrink)

In this study, we develop a new theoretical framework of Coping Intelligence which examines relationships between coping strategies and organizational commitment among boundary spanning employees. We collected data from 452 boundary spanning salespeople using multiple sources. Results demonstrate that a formative model of Coping Intelligence is superior to a reflective model and that problem-focused coping contributes to CI which, in turn, is related to affective and normative commitment. Further, our more parsimonious formative model illustrates that positive problem-focused coping (...) and negative emotion-focused coping contribute to both affective and normative commitment. After controlling for gender and salespeople’s commission in separate analyses, results remain significant. We provide additional insights: Females are likely to use emotion-focused coping than males, but gender is not related to organizational commitment. Salespeople’s commission is positively related to both affective and normative commitment but unrelated to coping strategies. We shed new lights on boundary spanning employees’ Coping Intelligence and organizational commitment and offer theoretical, empirical, and practical implications to coping strategies and business ethics. (shrink)

Research on the antecedents of consumers’ ethical beliefs has mainly examined cognitive variables and has neglected the relationships among affective variables and consumer ethics. However, research in moral psychology indicates that moral emotions have a significant role in ethical decision-making. Thus, the ability to experience, perceive and regulate emotions should influence consumers’ ethical decision-making. These abilities, which are components of emotional intelligence, are examined as antecedents to consumers’ ethical beliefs in this study. Five hundred Australian consumers participated in this (...) study by completing an online questionnaire that included measures of emotional intelligence, consumers’ ethical beliefs and personal moral philosophies. Results demonstrate that the ability to appraise and express emotions in oneself is directly negatively related to beliefs regarding actively benefiting from illegal actions as a consumer, passively benefiting at the expense of the seller and actively benefiting from questionable but legal actions as a consumer. The ability to appraise and express emotions in oneself is directly positively related to beliefs regarding ‘doing-good’ actions. The ability to appraise and recognise emotions in others is also directly positively related to beliefs regarding ‘doing-good’ actions as well as pro-environmental buying actions. The effects of the different components of emotional intelligence on consumers’ ethical beliefs are mediated by personal moral philosophies. This study demonstrates the relationship between emotional intelligence and consumer ethics and highlights the interplay of affect and cognition in consumers’ ethical decision-making. (shrink)

Research suggests that attitudes guide individuals’ thinking and actions. In this study, we explore the monetary intelligence construct and investigate the relationships between a formative model of money attitudes involving affective, behavioral, and cognitive components and several sets of outcome variables—unethical intentions, intrinsic and extrinsic job satisfaction, and coping strategies. Based on 515 managers in the Republic of Macedonia, we test our model for the whole sample and also cross sector and gender. Managers’ negative stewardship behavior and positive cognitive (...) meaning of money define MI which, in turn, is related to unethical intentions. Positive cognition in the public sector and poor stewardship behavior in the private sector contribute to unethical intentions, respectively. Good stewards have higher intrinsic and lower extrinsic job satisfaction, those in the private sector, in particular. Affective motive and stewardship behavior are related to their stronger “approach” coping strategies and weaker “avoidance” coping strategies. Affective motive and stewardship behavior contribute to coping responses for managers in the public and private sectors, respectively. Further, the relationship between stewardship behavior and coping mechanisms exists for females, but not for males. We demonstrate that MI, a type of social intelligence, allows individuals to monitor their own emotions, behaviors, and cognitions and guides their thinking and actions. (shrink)

This open access book explains how leading business organizations attempt to achieve the responsible and ethical use of artificial intelligence (AI) and other advanced information technologies. These technologies can produce tremendous insights and benefits. But they can also invade privacy, perpetuate bias, and otherwise injure people and society. To use these technologies successfully, organizations need to implement them responsibly and ethically. The question is: how to do this? Data ethics management, and this book, provide some answers. -/- The (...) authors interviewed and surveyed data ethics managers at leading companies. They asked why these experts see data ethics as important and how they seek to achieve it. This book conveys the results of that research on a concise, accessible way. -/- Much of the existing writing on data and AI ethics focuses either on macro-level ethical principles, or on micro-level product design and tooling. The interviews showed that companies need a third component: data ethics management. This third element consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level ethical principles and to guide and hold accountable their developers. Data ethics management is the connective tissue makes ethical principles real. It is the focus of this book. -/- This book should be of use to organizations that wish to improve their own data ethics management efforts, legislators and policymakers who hope to build on existing management practices, scholars who study beyond compliance business behavior, and members of the public who want to understand better the threats that AI poses and how to reduce them. (shrink)

The recent availability of affordable Artificial Intelligence (AI) for auditing has enabled small audit firms to experiment with this disruptive innovation. This paper goes beyond the literature’s traditional focus on the Big Four accounting firms, to present two studies that explored ethical professional judgments in the use of AI in this new organizational context, crucial for the global economy. Study 1 was a qualitative investigation of a small audit firm near Washington DC, one of the earliest adopters of MindBridge (...) Ai Auditor, the world’s first off-the-self, affordable AI-powered auditing platform. Drawing from Study 1 insights, we developed a two-part scenario that was used for a survey in Study 2, a quantitative investigation involving sixty-eight accounting professionals and 176 students. The findings from both studies have relevant theoretical and practical implications for how AI may impact professionalism / commercialism tensions in small audit firms. (shrink)

In Study 1, we test a theoretical model involving temptation, monetary intelligence (MI), a mediator, and unethical intentions and investigate the direct and indirect paths simultaneously based on multiple-wave panel data collected in open classrooms from 492 American and 256 Chinese students. For the whole sample, temptation is related to low unethical intentions indirectly. Multi-group analyses reveal that temptation predicts unethical intentions both indirectly and directly for male American students only; but not for female American students. For Chinese students, (...) both paths are non-significant. Love of money contributes significantly to MI for all students. In Study 2, using money as a temptation and giving them opportunities to cheat on a matrix task, most Chinese students (78.4 %) do not cheat in open classrooms; supporting survey and structural equation modeling (SEM) results in Study 1. However, students in private cubicles cheat significantly more (53.4 %) than those in open classrooms (21.6 %). Finally, students’ love of money attitude predicts cheating. Factor rich predicts the cheating amount, whereas factor motivator predicts the cheating percentage. Our results shed new light on the impact of temptation and love of money as dispositional traits, money as a temptation, and environmental context (public vs. private) on unethical intentions and cheating behaviors. (shrink)

Artificial intelligence is shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics in (...) marketing. To reconcile some of these tensions and account for the AI-for-social-good perspective, the authors make suggestions of how AI in marketing can be leveraged to promote societal and environmental well-being. (shrink)

Deception is pervasive in negotiations and organizations, and emotions are critical to using, detecting, and responding to deception. In this article, we introduce a theoretical model to explore the interplay between emotional intelligence (the ability to perceive and express, understand, regulate, and use emotions) and deception in negotiations. In our model, we propose that emotional intelligence influences the decision to use deception, the effectiveness of deception, the ability to detect deception, and the consequences of deception (specifically, trust repair (...) and retaliation). We consider the emotional intelligence of both deceivers and targets, and we consider characteristics of negotiators, their interaction, and the negotiation context that moderate these relationships. Our model offers a theoretical foundation for research on emotions, emotional intelligence, and deception and identifies a potential disadvantage of negotiating with an emotionally intelligent counterpart. Though prior work has focused on the advantages of being and interacting with people high in emotional intelligence, we assert that those most likely to deceive us may also be those highest in emotional intelligence. (shrink)

This study investigates factors impacting perceptions of ethical conduct of peers of 293 students in four US universities. Self-reported ethical behavior and recognition of emotions in others (a dimension of emotional intelligence) impacted perception of ethical behavior of peers. None of the other dimensions of emotional intelligence were significant. Age, Race, Sex, GPA, or type of major (business versus nonbusiness) did not impact perception of ethical behavior of peers. Implications of the results of the study for (...) class='Hi'>business schools and industry professionals are discussed. (shrink)