This paper provides a systematic literature review, analysis and discussion of methods that are proposed to practise ethics in research and innovation. Ethical considerations concerning the impacts of R&I are increasingly important, due to the quickening pace of technological innovation and the ubiquitous use of the outcomes of R&I processes in society. For this reason, several methods for practising ethics have been developed in different fields of R&I. The paper first of all presents a systematic search of academic sources that (...) present and discuss such methods. Secondly, it provides a categorisation of these methods according to three main kinds: ex ante methods, dealing with emerging technologies, intra methods, dealing with technology design, and ex post methods, dealing with ethical analysis of existing technologies. Thirdly, it discusses the methods by considering problems in the way they deal with the uncertainty of technological change, ethical technology design, the identification, analysis and resolving of ethical impacts of technologies and stakeholder participation. The results and discussion of our literature review are valuable for gaining an overview of the state of the art and serve as an outline of a future research agenda of methods for practising ethics in R&I. (shrink)

Prior studies in business ethics highlight the role of philanthropy in shaping stakeholders’ perceptions of a firm’s underlying moral tendencies and values. Scholars argue that philanthropy-based character inferences influence whether and how stakeholders engage with firms. We extend this line of reasoning to examine the impact of philanthropy on firms’ contracting costs in the capital market. We posit that philanthropy-based character inferences reduce investors’ agency concerns, thereby reducing firms’ cost of capital. We also posit that the strength of the philanthropy–cost (...) of capital relationship is contingent on uncertainty regarding a firm’s character, visibility of a firm, and prevailing philanthropic norms. We test and find support for our arguments in a longitudinal study of philanthropy and the cost of capital. Our findings have implications for business ethics research on corporate philanthropy and corporate social performance and for organizational research on social judgment. (shrink)

This study examines the influence of mood on corporate philanthropic giving. Drawing on group emotions theory and affect-infused decision theory, we advance the argument that firms allocate greater resources to philanthropy when headquarters-based employees are in a more positive affective state. We also describe three boundary conditions in this relationship—executives’ embeddedness in the firm, executives’ latitude to engage in philanthropic giving, and the firm’s track record of corporate social irresponsibility. We test our arguments using a longitudinal dataset of philanthropic giving (...) by U.S. firms. Our study contributes to the literature by shedding light on the role of affect in shaping the decision to allocate resources to corporate philanthropy. (shrink)

Prior studies suggest that firms headquartered in areas with strong religious social norms have higher ethical standards. In this study, we examine whether the ethical standards associated with local religious norms influence the M&A announcement returns. We document that the M&A announcement returns of acquirer firms increase with the strength of religious social norms in the area surrounding firms’ headquarters. We also document that the relationship is attenuated when acquirer firms have strong corporate social responsibility credentials, is amplified when public (...) trust that firms act in the best interest of stakeholders suffers a negative shock and when the M&A deal has greater economic significance for the acquirer, and manifests predominantly in the lower tail of the distribution of M&A returns. Our findings are consistent with investor assessments of firms’ ethical standards driving the relationship between local religious social norms and M&A announcement returns. We find no evidence for the competing explanation—that investor assessments of firms’ risk preferences drive the documented relationship. (shrink)

Within the Computer Science community, many ethical issues have emerged as significant and critical concerns. Computer ethics is an academic field in its own right and there are unique ethical issues associated with information technology. It encompasses a range of issues and concerns including privacy and agency around personal information, Artificial Intelligence and pervasive technology, the Internet of Things and surveillance applications. As computing technology impacts society at an ever growing pace, there are growing calls for more computer ethics content (...) to be included in Computer Science curricula. In this paper we present the results of a survey that polled faculty from Computer Science and related disciplines about teaching practices for computer ethics at their institutions. The survey was completed by respondents from 61 universities across 23 European countries. Participants were surveyed on whether or not computer ethics is taught to Computer Science students at each institution, the reasons why computer ethics is or is not taught, how computer ethics is taught, the background of staff who teach computer ethics and the scope of computer ethics curricula. This paper presents and discusses the results of the survey. (shrink)

Purpose Computing ethics represents a long established, yet rapidly evolving, discipline that grows in complexity and scope on a near-daily basis. Therefore, to help understand some of that scope it is essential to incorporate a range of perspectives, from a range of stakeholders, on current and emerging ethical challenges associated with computer technology. This study aims to achieve this by using, a three-pronged, stakeholder analysis of Computer Science academics, ICT industry professionals, and citizen groups was undertaken to explore what they (...) consider to be crucial computing ethics concerns. The overlap between these stakeholder groups are explored, as well as whether their concerns are reflected in the existing literature. Design/methodology/approach Data collection was performed using focus groups, and the data was analysed using a thematic analysis. The data was also analysed to determine if there were overlaps between the literature and the stakeholders’ concerns and attitudes towards computing ethics. Findings The results of the focus group analysis show a mixture of overlapping concerns between the different groups, as well as some concerns that are unique to each of the specific groups. All groups stressed the importance of data as a key topic in computing ethics. This includes concerns around the accuracy, completeness and representativeness of data sets used to develop computing applications. Academics were concerned with the best ways to teach computing ethics to university students. Industry professionals believed that a lack of diversity in software teams resulted in important questions not being asked during design and development. Citizens discussed at length the negative and unexpected impacts of social media applications. These are all topics that have gained broad coverage in the literature. Social implications In recent years, the impact of ICT on society and the environment at large has grown tremendously. From this fast-paced growth, a myriad of ethical concerns have arisen. The analysis aims to shed light on what a diverse group of stakeholders consider the most important social impacts of technology and whether these concerns are reflected in the literature on computing ethics. The outcomes of this analysis will form the basis for new teaching content that will be developed in future to help illuminate and address these concerns. Originality/value The multi-stakeholder analysis provides individual and differing perspectives on the issues related to the rapidly evolving discipline of computing ethics. (shrink)

Linked data have the capability to open up and share materials, held in libraries, archives and museums, in ways that are restricted by many existing metadata standards. Specifically, LD interlinking can be used to enrich data and to improve data discoverability on the Web through interlinking related resources across datasets and institutions. However, there is currently a notable lack of interlinking across leading LD projects in LAMs, impacting upon the discoverability of their materials. This research describes the Novel Authoritative Interlinking (...) for Semantic Web Cataloguing in Libraries interlinking framework. Unlike existing interlinking frameworks, NAISC-L was designed specifically with the requirements of the LAM domain in mind. The framework was evaluated by Information Professionals, including librarians, archivists and metadata cataloguers, via three user-experiments including a think-aloud test, an online interlink creation test and a field test in a music archive. Across all experiments, participants achieved a high level of interlink accuracy, and usability measures indicated that IPs found NAISC-L to be useful and user-friendly. Overall, NAISC-L was shown to be an effective framework for engaging IPs in the process of LD interlinking, and for facilitating the creation of richer and more authoritative interlinks between LAM resources. NAISC-L supports the linking of related resource across datasets and institutions, thereby enabling richer and more varied search queries, and can thus be used to improve the discoverability of materials held in LAMs. (shrink)