Search results

The purpose of this paper is to introduce the work of Mark Coeckelbergh into the field of management.

This is a conceptual paper with interviews.

The author suggests that Coeckelberghs’ considerations of an anthropology of vulnerability have the potential to provide a rich and insightful exploration of the machine-human interface, which is not afforded by many of the current approaches taken in this field. Their development of an anthropology of vulnerability suggests an approach to the machine-human interface that re-frames the machine-human interface in terms of human vulnerability, rather than machine’s performance, and sustains that the machine-human interface can be understood in terms of the transfer of human vulnerability.

This paper reveals some of the possibilities inherent in Coeckelbergh’s theories by providing an analysis of a specific event, the recent introduction of robo-advisors in portfolio management, from a Coeckelberghian perspective and by exploring some of the implications of this type of approach for the machine-human interface.

As far as the author knows, there is no previous paper on this topic.

This paper aims to show how the production of meaning is a matter of people interacting with technologies, throughout their appropriation and in co-performances. The researchers rely on the case of household-based voice assistants that endorse speaking as a primary mode of interaction with technologies. By analyzing the ethical significance of voice assistants as co-producers of moral meaning intervening in the material and socio-cultural space of the home, the paper invites their informed and critical use as a form of (re-)empowerment while acknowledging their productive role in human values.

This paper presents an empirically informed philosophical analysis. Using the conceptual frameworks of technological appropriation and human–technological performances, while drawing on the interviews with voice assistants’ users and literature studies, this paper unravels the meaning-making processes in relation to these technologies in the household use. It additionally draws on a Wittgensteinian perspective to attend to the productive role of language and link to wider cultural meanings.

By combining two approaches, appropriation and technoperformances, and analyzing the themes of privacy, power and knowledge, the paper shows how voice assistants help to shape a specific moral subject: embodied in space and made as it performatively responds to the device and makes sense of it together with others.

The researchers show how through making sense of technologies in appropriation and performatively responding to them, people can change and intervene in the power structures that technologies suggest.

The purpose of this paper is to reach a deeper understanding of the Lean principle of respect for people (RFP to facilitate Lean implementation in Western organizations outside Toyota.

This study uses an interpretative, hermeneutic approach to understand the RFP concept through a literature study of existing research about Lean implementation, and an inquiry into the underlying meaning of the RFP principle, by studying sources from Toyota and discussions about the RFP principle in Japan.

RFP is seen as a central principle in Lean implementations, but the failure of RFP is believed to cause Lean implementations to fail. The literature about Lean discusses the RFP principle both as a general positive atmosphere and as focused on developing the work capacity of employees. By studying the sources from Toyota, it could be understood that RFP is based on ought-respect. The authors also find that RFP is related to takumi, a perfected form of craftsmanship. The authors translate the concept to English by tying it to the recent literature about craft to develop RFP as RFC – respect for craftsmanship.

As this is a conceptual paper, it is difficult to translate the findings into a tool for companies and organizations to use. However, that is the point of the paper: that the most important ideas are not translatable into tools.

It is necessary in Lean implementations to connect people’s work to craftsmanship. Through a discussion of craftsmanship before Lean implementations, it might be possible to nurture an understanding of the underlying values of Lean.

The authors have not found any papers that propose takumi as the base of the RFP principle, nor as a foundational concept at Toyota. It is necessary to understand the concept of takumi, as perfection in craft, to understand the RFP principle.

The goal of this paper is to study the factors that determine individuals' beliefs about robots in Latin America. The authors highlight the role of interpersonal trust in shaping these beliefs.

The authors use data from 2018 Latinobarómetro survey in 18 Latin American countries. The analysis includes an empirical strategy that reduces overt bias and weighs hidden bias.

Robots are not generally supported or positively perceived in Latin America. However, people are less negative about robots when they (1) trust others, (2) are male, (3) are single, (4) are more educated, (5) support democracy and (6) favor free imports. Interpersonal trust is the most consistent covariate. The results provide support to the idea that trusting robots can be the result of trusting humans working in the technological sector (Coeckelbergh, 2012).

This study faces some limitations. The first one relates to the standard caveats associated with the use of survey data – interviewees may not express their true beliefs. Another limitation is that this study examines data for only one year (the 2018 Latinobarómetro survey). Finally, although propensity score matching allow to control for endogeneity due to observable characteristics and the authors perform a sensitivity test regarding hidden characteristics, the nature of the data does not allow to guarantee that there is a causal effect from interpersonal trust to beliefs about robots.

The authors find that the positive relationship between trust and beliefs about robots is particularly strong in the area of health. Medical companies could consider these findings when designing and promoting robots.

Negative views about robots may delay the adoption of new technology in the region. To facilitate the adoption of new technologies, stakeholders should pay attention to the prevalent levels of interpersonal trust in society. This is especially important in developing countries.

To the authors’ knowledge this is the first study that empirically links beliefs about robots and interpersonal trust.

The purpose of this paper is to pinpoint and analyse ethical issues raised by the dual role of artificial intelligence (AI) in relation to climate change, that is, AI as a contributor to climate change and AI as a contributor to fighting climate change.

This paper consists of three main parts. The first part provides a short background on AI and climate change respectively, followed by a presentation of empirical findings on the contribution of AI to climate change. The second part presents proposals by various AI researchers and commentators on how AI companies may contribute to fighting climate change by reducing greenhouse gas emissions from training and use of AI and by providing AI assistance to various mitigation and adaptation measures. The final part investigates ethical issues raised by some of the options presented in the second part.

AI applications may lead to substantial emissions but may also play an important role in mitigation and adaptation. Given this dual role of AI, ethical considerations by AI companies and governments are of vital importance.

This paper pinpoints practical ethical issues that AI companies and governments should take into account.

Given the potential impact of AI on society, it is vital that AI companies and governments take seriously the ethical issues raised by the dual role of AI in relation to climate change.

AI has been the subject of substantial ethical investigation, and even more so has climate change. However, the relationship between AI and climate change has received only limited attention from an ethical perspective. This paper provides such considerations.

This paper aims to fill this gap (infra, originality) by providing a conceptual framework for discussing “technologies of the self and other,” by showing that, in most cases, self-tracking also involves other-tracking.

In so doing, we draw upon Foucault’s “technologies of the self” and present-day literature on self-tracking technologies. We elaborate on two cases and practical domains to illustrate and discuss this mutual process: first, the quantified workplace; and second, quantification by wearables in a non-clinical and self-initiated context.

The main conclusion is that these shapings are never (morally) neutral and have ethical implications, such as regarding “quantified otherness,” a notion we propose to point at the risk that the other could become an object of examination and competition.

Although there is ample literature on the quantified self, considerably less attention is given to how the relation with the other is being shaped by self-tracking technologies that allow data sharing (e.g. wearables or apps such as Strava or RunKeeper).

This study aims to propose a novel concept of choreography as a way of understanding co-creation of value and thus develops the spatial analytical dimensions of co-creation theorising.

This conceptual paper contemplates the meanings and possibilities of leveraging the theoretical underpinnings of value co-creation, from the viewpoint of value-in-experience.

The concept of choreography opens up a way to read knowledge as movement. It enables a way to elaborate on both the phenomenological and non-representational aspects of co-creation processes. Conceptualising co-creation through such a lens, where knowing is seen as an on-going, spatio-temporal and affective process formed in movement, posits opportunities to further understand the value co-creation practices of experiences. Choreography gives access to the kinaesthetic and affective nature of knowing gained in and through different spatio-temporal contexts and can, in turn, be mobilised in others.

Only a few studies have conceptualised co-creation in relation to a spatio-temporal phenomenon. Notably, this study connects co-creation with mobilities and thus constructs a novel view of knowledge and value creation.

Research into the interpretability and explainability of data analytics and artificial intelligence (AI) systems is on the rise. However, most recent studies either solely promote the benefits of explainability or criticize it due to its counterproductive effects. This study addresses this polarized space and aims to identify opposing effects of the explainability of AI and the tensions between them and propose how to manage this tension to optimize AI system performance and trustworthiness.

The author systematically reviews the literature and synthesizes it using a contingency theory lens to develop a framework for managing the opposing effects of AI explainability.

The author finds five opposing effects of explainability: comprehensibility, conduct, confidentiality, completeness and confidence in AI (5Cs). The author also proposes six perspectives on managing the tensions between the 5Cs: pragmatism in explanation, contextualization of the explanation, cohabitation of human agency and AI agency, metrics and standardization, regulatory and ethical principles, and other emerging solutions (i.e. AI enveloping, blockchain and AI fuzzy systems).

As in other systematic literature review studies, the results are limited by the content of the selected papers.

The findings show how AI owners and developers can manage tensions between profitability, prediction accuracy and system performance via visibility, accountability and maintaining the “social goodness” of AI. The results guide practitioners in developing metrics and standards for AI explainability, with the context of AI operation as the focus.

This study addresses polarized beliefs amongst scholars and practitioners about the benefits of AI explainability versus its counterproductive effects. It poses that there is no single best way to maximize AI explainability. Instead, the co-existence of enabling and constraining effects must be managed.

The relationship between robots and spirituality in the workplace is an interesting and evolving area of research that could provide important insights into the role of technology in promoting human well-being and personal growth. Robots are becoming increasingly common in the workplace and their functions in the business world are increasing. The use of robots in the workplace can affect people's spiritual values. Spiritual values such as being successful in their work, providing a sense of purpose and satisfaction, and feeling valued and important are important. The use of robots in the workplace may cause some people to take over many of the tasks that their jobs once did. In this case, employees may feel that their work no longer makes sense and may experience a loss of motivation. The fact that robots don't need the skills and experience of humans can make people feel inadequate in their jobs. However, the use of robots in the workplace can also support people's spiritual values. When robots work with humans, they have responsibilities such as interacting with them, showing empathy, respecting coworkers, and treating humans appropriately. This is important for people's mental and emotional health in the workplace. This approach will help people in the workplace work successfully and happily with robots. The use of robots in the workplace raises moral and ethical questions. In this section, research on the production of artificial intelligence-equipped robots and other intelligent technological machines and their use in organizations is evaluated within the framework of spirituality.