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)

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.

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.

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)

This essay explores human collective intelligence as the creative force shaping our lives. By collective I mean that intelligence lies in its interaction, in relationship. Intelligence is beyond the individual or the collective. I focus on one of its two levels: the intelligence of need, which centres on fulfilling humanity’s needs and interests and is crucial to economic processes. Business are central to the current way of living, hence, from its good working depends human wellbeing (...) With the rapid growth of human populations and nature’s limited resources, we must cultivate a frugal intelligence of need that moves away from viewing economic growth as synonymous with prosperity. As Socrates said: “The secret of happiness, you see, is not found in seeking more, but in developing the capacity to enjoy less.” My goal is to show that the effective operation of the intelligence of need for everyone’s benefit requires it to work in harmony with a foundational yet often overlooked intelligence, which I call the intelligence of freedom, or liberating intelligence. The reforms of the intelligence of need, in particular of the economy, usually proposed are insufficient to ensure wellbeing for all. We need the awakening of the liberating intelligence, the intelligence of freedom, beauty and love, on which I will insist along this essay. (shrink)

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)

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)

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)

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 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)

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)

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)

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)

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)

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)

This book concentrates on some leading questions in business ethics research in the last two decades and tries to find explanations concerning cultural issues. It focuses on the alignment or congruence between business ethics and cultural contexts with a special emphasis on Eastern European countries. The core of this book is doing business in Central and Eastern Europe (CEE) in order to throw light on the cultural issues related to business ethics. Its primary purpose is a (...) finer view of the impact of national, organizational and professional cultures in business ethics. The general questions encountered in this book are related to the nexus between culture and ethics in (CEE), national, organizational and professional cultures' link to (CEE) countries' ethics. The aim of this book is a deeper understanding of the cultural differences in Central and Eastern Europe. This might help organizations provide better opportunities for doing business across a wide cultural spectrum. With the increase of global mobility, cultural and ethical issues become more and more important. Multi-national corporations might garner a competitive advantage when they understand the importance of local culture and ethics. International business professionals may benefit from a deeper understanding of cultural values that affect the perceptions of individuals during negotiation and decision-making across cultures. Multinational companies that do not take into consideration or minimize the importance of cultural and ethical issues expose themselves to a higher risk of failure. The expectation of the authors of this book is that the conclusions would help alert international business scholars and practitioners of the need to thoroughly understand the cultural issues influencing ethics. (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)

A concise but informative overview of AI ethics and policy. -/- Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring homeowners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, and voters in liberal democracies? Authored by experts in (...) fields ranging from computer science and law to philosophy and cognitive science, this book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues such as transparency, bias, liability, privacy, and regulation. -/- Both business and government have integrated algorithmic decision support systems into their daily operations, and the book explores the implications for our lives as citizens. For example, do we take it on faith that a machine knows best in approving a patient's health insurance claim or a defendant's request for bail? What is the potential for manipulation by targeted political ads? How can the processes behind these technically sophisticated tools ever be transparent? The book discusses such issues as statistical definitions of fairness, legal and moral responsibility, the role of humans in machine learning decision systems, “nudging” algorithms and anonymized data, the effect of automation on the workplace, and AI as both regulatory tool and target. (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)

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)

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)

As the COVID-19 outbreak remains an ongoing issue, there are concerns about its disruption, the level of its disruption, how long this pandemic is going to last, and how innovative technological solutions like Artificial Intelligence (AI) and expert systems can assist to deal with this pandemic. AI has the potential to provide extremely accurate insights for an organization to make better decisions based on collected data. Despite the numerous advantages that may be achieved by AI, the use of AI (...) can be perceived differently by society, where moral and ethical issues may be raised, especially in regards to accessing and exploiting public data gathered from social media platforms. To better comprehend the concerns and ethical challenges, utilitarianism and deontology were used as business ethics frameworks to explore the aforementioned challenges of AI in society. The framework assists in determining whether the AI’s deployment is ethically acceptable or not. The paper lays forth policy recommendations for public and private organizations to embrace AI-based decision-making processes to avoid data privacy violations and maintain public trust. (shrink)

Artificial intelligence receives attention in media as well as in academe and business. In media coverage and reporting, AI is predominantly described in contrasted terms, either as the ultimate solution to all human problems or the ultimate threat to all human existence. In academe, the focus of computer scientists is on developing systems that function, whereas philosophy scholars theorize about the implications of this functionality for human life. In the interface between technology and philosophy there is, however, one (...) imperative aspect of AI yet to be articulated: how do intelligent systems make inferences? We use the overarching concept “Artificial Intelligent Behaviour” which would include both cognition/processing and judgment/behaviour. We argue that due to the complexity and opacity of artificial inference, one needs to initiate systematic empirical studies of artificial intelligent behavior similar to what has previously been done to study human cognition, judgment and decision making. This will provide valid knowledge, outside of what current computer science methods can offer, about the judgments and decisions made by intelligent systems. Moreover, outside academe—in the public as well as the private sector—expertise in epistemology, critical thinking and reasoning are crucial to ensure human oversight of the artificial intelligent judgments and decisions that are made, because only competent human insight into AI-inference processes will ensure accountability. Such insights require systematic studies of AI-behaviour founded on the natural sciences and philosophy, as well as the employment of methodologies from the cognitive and behavioral sciences. (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)

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)

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)

I find this postulate of Mr. Blanshard's puzzling, and I wish to exhibit some perplexing features of it, and therefore of the business of the philosopher as he understands it.

This is the fifth book by Professor Alan E Singer on business ethics and strategy. This book emphasizes aspects that are thought to be most likely to rise to prominence in the years to come. These include ecological-understandings at the conceptual level and the participation at the practical level in a distributed system of global governance system that strives to uphold all of the human goods, including the positive and negative freedoms, but in a reasonably balanced way. In a (...) section on justice and politics, several issues related to social and environmental justice are duly viewed from both a theoretical perspective and from a corporate (strategic) perspective. A further section focuses upon the governance and ethical implications of what James Martin (founder of the 21st Century School at the University of Oxford) has called the technologies of sorcery: synthetic biology, nanotechnology, robotics and artificial general intelligence. The final section of the book applies a stable organizing framework to the teaching of ethics in business and politics. This book will be of interest to students and practitioners across a wide spectrum of academic subjects and professions. (shrink)

Artificial intelligence is not only disrupting industries and businesses, particularly the ones have fallen behind the adoption, but also significantly impacting public life as well. This calls for government authorities pay attention to public opinions and sentiments towards AI. Nonetheless, there is limited knowledge on what the drivers behind the public perception of AI are. Bridging this gap is the rationale of this paper. As the methodological approach, the study conducts an online public perception survey with the residents of (...) Sydney, Melbourne, and Brisbane, and explores the collected survey data through statistical analysis. The analysis reveals that: the public is concerned of AI invading their privacy, but not much concerned of AI becoming more intelligent than humans; the public trusts AI in their lifestyle, but the trust is lower for companies and government deploying AI; the public appreciates the benefits of AI in urban services and disaster management; depending on the local context, public perceptions vary; and the drivers behind the public perception include gender, age, AI knowledge, and AI experience. The findings inform authorities in developing policies to minimise public concerns and maximise AI awareness. (shrink)

AI and people do not compete on a level-playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being. (...) This work should be read by anyone interested in the rapidly evolving relationship between AI and the law. (shrink)

The knowledge that organizations possess, produce, and acquire adds to their strategic competency and intelligence. Organizations develop intelligence from practice and learning by doing. There is a definite relationship that exists between organizational learning and productivity that contributes to the development of organizational intelligence. Organizational intelligence is of difference kinds, but almost all of them develop from organizational actions and learning that includes but are not restricted to gaining market information, consumer interactions, business communications, creating (...) new products and services, managing actions, solving emerging problems, etc. Intelligence is the ability to comprehend things or immediate situations and act rationally and according to what the situation demands. In this paper, we examine on what respect organizational intelligence positively relates to organizational competency, and how intelligence help develop strategic competency which adds to their advantage and makes them more robust. We find using a theoretical model that the development of organizational intelligence confers competitive strength to an organization, and contributes to the overall development of higher productivity and organizational competence. (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)