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Business, management and business ethics literature pay little attention to the topic of AI robots. The broad spectrum of potential ethical issues pertains to using driverless cars, AI robots in care homes, and in the military, such as Lethal Autonomous Weapon Systems. However, there is a scarcity of in-depth theoretical, methodological or empirical studies that address these ethical issues, for instance, the impact of morality and where accountability resides in AI robots' use. To address this dearth, this study offers a conceptual framework that interpretively develops the ethical implications of AI robot applications, drawing on descriptive and normative ethical theory. The new framework elaborates on how the locus of morality (human to AI agency) and moral intensity combine within context-specific AI robot applications, and how this might influence accountability thinking. Our theorization indicates that in situations of escalating AI agency and situational moral intensity, accountability is widely dispersed between actors and institutions. 'Accountability clusters' are outlined to illustrate interrelationships between the locus of morality, moral intensity and accountability and how these invoke different categorical responses: (i) illegal, (ii) immoral, (iii) permissible and (iv) supererogatory pertaining to using AI robots. These enable discussion of the ethical implications of using AI robots, and associated accountability challenges for a constellation of actors – from designer, individual/organizational users to the normative and regulative approaches of industrial/governmental bodies and inter-governmental regimes.

Purpose
Managing attractiveness is a constant challenge to mobilize relationship-specific investments, especially in a business environment increasingly enhanced by social media (SM) activities. There is limited knowledge on how SM activities contribute to supplier attractiveness, so decisions about strategizing with SM and consequent resource allocations become highly uncertain. The purpose of this paper is to examine how suppliers' SM activities influence supplier attractiveness.


Design/methodology/approach
Altogether, 57 senior managers were interviewed: 32 semi-structured in-depth interviews were conducted with senior managers in strategic decision-making roles regarding SM on the supplier side, along with 20 senior managers responsible for purchasing or looking after supplier development; one-to-one interviews were complemented by a focus group with 5 senior managers on the buyer side.


Findings
The study reveals an inverse U-shaped relationship between the intensity of the supplier's SM activity and its attractiveness and offers a set of propositions about the influence of SM on supplier attractiveness, with special regard to the perceived risks of increased transparency and becoming "too social" on SM.


Practical implications
The study highlights SM management results for supplier attractiveness and their impact areas on business growth and supply chain development.


Originality/value
This paper provides in-depth insights into the role of SM in managing supplier attractiveness. Various effects of SM activities are identified that aim to contribute to the body of literature on supplier attractiveness as well as SM management in buyer–supplier relationships.

PurposeThis paper aims to conceptualize corporate reference management as a strategic signaling activity in business networks. While research has extensively outlined how firms develop and maintain social capital through business-to-business (B2B) relationships, less is known about how they signal their participation in business networks to develop this social capital. Therefore, this paper conceptualizes B2B references, in particular corporate online references (COR), as a tool through which firms "borrow" attractiveness from their business network. Through the lens of structural social capital theory, COR is shown to capture advantages related to interconnectedness between firms.Design/methodology/approachThe paper reports on a two-step qualitative and quantitative research design. First, the authors undertook a qualitative study that reports on the COR practices of senior business managers. A quantitative study then uses social network analysis (SNA) to audit a digital business network comprising 1,098 firms in a metropolitan area of the UK, referencing to each other through their corporate websites using COR.FindingsThe analyses find that COR practices contribute to building structural social capital in networks through strategic signaling. Firms do so by managing B2B references to craft strategic signals, using five steps: requesting, granting, curating, coding and decoding references. While the existing literature on business marketing portrays reference management as a routine and operational management practice, this investigation conceptualizes reference management, in particular COR, as a strategic activity.Originality/valueTo the best of the authors' knowledge, this is the first study to use SNA to represent B2B references in the form of COR as a network, which overlaps with (but is not entirely identical to) the business network. Further, the study re-conceptualizes reference management as a strategic signaling activity that leverages the firm's participation in business networks to build structural social capital by borrowing attractiveness of prestigious business partners that leverages existing structural social capital. Finally, the paper coins and conceptualizes COR as an exemplar of referencing management and offers propositions for further research.