How can history of science matter to scientists?

History of science has developed into a methodologically diverse discipline, adding greatly to our understanding of the interplay between science, society, and culture. Along the way, one original impetus for the then newly emerging discipline--what George Sarton called the perspective "from the point of view of the scientist"--dropped out of fashion. This essay shows, by means of several examples, that reclaiming this interaction between science and history of science yields interesting perspectives and new insights for both science and history of science. The authors consequently suggest that historians of science also adopt this perspective as part of their methodological repertoire.     

How can we know a self-driving car is safe?

Self-driving cars promise solutions to some of the hazards of human driving but there are important questions about the safety of these new technologies. This paper takes a qualitative social science approach to the question ‘how safe is safe enough?’ Drawing on 50 interviews with people developing and researching self-driving cars, I describe two dominant narratives of safety. The first, safety-in-numbers, sees safety as a self-evident property of the technology and offers metrics in an attempt to reassure the public. The second approach, safety-by-design, starts with the challenge of safety assurance and sees the technology as intrinsically problematic. The first approach is concerned only with performance—what a self-driving system does. The second is also concerned with why systems do what they do and how they should be tested. Using insights from workshops with members of the public, I introduce a further concern that will define trustworthy self-driving cars: the intended and perceived purposes of a system. Engineers’ safety assurances will have their credibility tested in public. ‘How safe is safe enough?’ prompts further questions: ‘safe enough for what?’ and ‘safe enough for whom?’

     

How can Blockchain technology support patent management? A systematic literature review

Patent management tasks involve many stakeholders from diverse disciplines and hierarchies as well as from inside and outside the organization. By drawing on the transaction cost and stakeholder theories, Blockchain technology offers new opportunities to rethink the way in which stakeholders are organized and collaborate. Although Blockchain technology receives considerable attention from both the public and academia, the question of how Blockchain technology leverages patent management in particular has so far been neglected, although it holds great promise. Consequently, this is what we choose to be our basic research question. In response to it, we conduct a systematic literature review, following a procedure in three steps. Out of an initial sample of 714 articles, we select 52 as being particularly relevant, and classify them in accordance with the dimensions of the 7D Patent Management Maturity Model. Three main foci regarding the use of Blockchain technology emerge – i.e. for the generation, the enforcement, and the exploitation of patents. This study contributes to scholarship and management by showing that Blockchain technology mitigates environmental and behavioral uncertainty, while stimulating new governance forms and business models by reorganizing or discarding stakeholders.     

How knowledge management processes can create and capture value for firms?

Knowledge has become the main competitive tool for firms. Just as knowledge is considered as the most important strategic resource, knowledge management (KM) is considered to be critical to a firm’s success. Several attempts have been undertaken to identify and define the different KM processes. From the literature review, four key dimensions stand out as affecting KM processes: knowledge creation, knowledge transfer, knowledge storage/retrieval, and knowledge application. The aim of this paper is to contribute to the KM and value literature by determining the importance of the different processes of KM for increasing value creation and value capture in firms. The context for the research hypotheses is the Spanish banking industry in 2010. The results support a positive relationship between KM and value creation, and between value creation and value capture.     

Information management can’t be all fun and games,can it? How gamified experiences foster information exchange in multi-actor service ecosystems

This paper investigates whether gamified experiences in a multi-actor service ecosystem can be used to encourage customers’ information exchange behavior. Furthermore, it examines the impact of customers’ knowledge sharing attitude on the relationship between experiential value and customers’ information exchange behavior. Structural equation modeling was used to assess these dynamic relationships and provide a scalable measurement instrument that can be applied to gamified experiences ranging from simple customer-interface interactions, all the way up to multi-actor service ecosystems. Our findings support the notion that managers can use gamification to foster information exchange and thereby value co-creation between customers and employees directly, without necessarily having to change customers attitudes first. The findings also suggest that gamification can be applied successfully in cases of large groups of people with widely varying characteristics, backgrounds, and motivations. Additionally, our research indicates that experiential value is a suitable candidate for a consistent measurement instrument for gamification. This study is the first to apply a holistic experiential value approach to a gamified experience that simultaneously accounts for customers’ interactions with a multisensory physical environment, their personal interactions with employees, and their interactions with other customers.     

Knowledge marketing: How can strategic customers be utilised for knowledge marketing in knowledge-intensive SMEs?

This study aims to analyse the use of various forms of “knowledge utilisation” to integrate strategic customer knowledge in order to be one step ahead of the market and competitors. For this purpose, premises, processes, and factors are highlighted, which are essential to incorporate the knowledge of strategic customers into the knowledge base of knowledge-intensive small- to medium-sized enterprises (SME) and therefore contribute to the commercialisation of knowledge-intensive products as well as services. Here a knowledge marketing strategy may support the commercial exploitation of these products and services. Since research and literature in the field of knowledge marketing (especially in knowledge-intensive SMEs) is still scarce, the authors regard a qualitative research approach as appropriate. In the analysed cases, three necessary processes have been identified: (1) Developing knowledge networks, (2) solving customer problems, and (3) possessing the absorptive capacity to understand and integrate customer knowledge.     

Who can I ask? How psychological safety affects knowledge sourcing among new product development team members

Knowledge source selection is a complex phenomenon that is often addressed from an organizational viewpoint; however, we know little about knowledge-seeking practices at the individual level. We examined knowledge sourcing in new product development (NPD) teams at the micro-level through the lens of psychological safety (PS). We investigated 1345 individuals at 85 software development teams in Pakistan to demonstrate how different levels of PS affected knowledge sourcing from three groups: within the team; within the organization; and outside the organization. Our results showed that individuals with high PS levels were more inclined to consult fellow team members and individuals with low PS levels were more likely to choose external sources. We also examined how the diversity of a team's composition affected the relationship between psychological safety and knowledge source selection. We explored the implications of these findings for managerial practice.     

How open is innovation?

This paper is motivated by a desire to clarify the definition of ‘openness’ as currently used in the literature on open innovation, and to re-conceptualize the idea for future research on the topic. We combine bibliographic analysis of all papers on the topic published in Thomson's ISI Web of Knowledge (ISI) with a systematic content analysis of the field to develop a deeper understanding of earlier work. Our review indicates two inbound processes: sourcing and acquiring, and two outbound processes, revealing and selling. We analyze the advantages and disadvantages of these different forms of openness. The paper concludes with implications for theory and practice, charting several promising areas for future research.     

How can artificial intelligence enhance car manufacturing? A Delphi study-based identification and assessment of general use cases

The latest boom of artificial intelligence (AI) has left the information management community in strong need of structure-providing, high-level overview works. Such works are supposed to allow both researchers and practitioners to keep track of that steep development across the technology's numerous possible application domains. So it is among other things that AI is said to incorporate enormous potential for reducing the operational costs of car manufacturers all over the globe. Nevertheless, many of them are still struggling with adopting it at large scale just because of a lack of knowledge on if and where to apply it. This study is therefore designed to find out which general use cases exist for AI within the context of car manufacturing and which ones might be the most promising ones to pursue at this early stage. We conducted a Delphi study with 39 experts in 25 different globally scattered organizations over one and a half years. As a result, we were able to identify 20 different high-level use cases for AI along the entire car manufacturing process. Our panelists have completely ranked and assessed those 20 use cases within two different dimensions, i.e., their estimated business value and their realizability. Besides being the first study to provide such an overview at one glance and to give such quantitative insights on that steeply emerging topic, four use cases from that list have never been discussed in connection with car manufacturing within the scientific literature until now and can therefore be considered as completely new in that regard.     

How can clusters sustain performance? The role of network strength, network openness, and environmental uncertainty

This paper draws on social network theory to develop a model of regional cluster performance. We suggest that high performing regional clusters are underpinned by (1) network strength and (2) network openness, but that the effects of these on the performance of a cluster as a whole are moderated by environmental uncertainty. Specifically, the positive effects of network openness on cluster performance tend to increase as environmental uncertainty increases, while the positive effects of network strength on cluster performance tend to decrease as environmental uncertainty increases. Our findings have theoretical and practical implications for social network research in general, and cluster research in particular.     

How can contributors to open-source communities be trusted? On the assumption,inference, and substitution of trust

Open-source communities that focus on content rely squarely on the contributions of invisible strangers in cyberspace. How do such communities handle the problem of trusting that strangers have good intentions and adequate competence? This question is explored in relation to communities in which such trust is a vital issue: peer production of software (FreeBSD and Mozilla in particular) and encyclopaedia entries (Wikipedia in particular). In the context of open-source software, it is argued that trust was inferred from an underlying ‘hacker ethic’, which already existed. The Wikipedian project, by contrast, had to create an appropriate ethic along the way. In the interim, the assumption simply had to be that potential contributors were trustworthy; they were granted ‘substantial trust’. Subsequently, projects from both communities introduced rules and regulations which partly substituted for the need to perceive contributors as trustworthy. They faced a design choice in the continuum between a high-discretion design (granting a large amount of trust to contributors) and a low-discretion design (leaving only a small amount of trust to contributors). It is found that open-source designs for software and encyclopaedias are likely to converge in the future towards a mid-level of discretion. In such a design the anonymous user is no longer invested with unquestioning trust.     

How can wikipedia be used to support the process of automatically building multilingual domain modules? a case study.

The goal of the research here presented is to identify which aspects of Wikipedia can be exploited to support the process of automatically building Multilingual Domain Modules from textbooks. First, we have defined a representation formalism for Multilingual Domain Modules that is essential for Technology Supported Learning Systems which aim to serve a globalized society. To our knowledge, no attempt has been made at achieving domain models that consider multiple languages. Our approach combines Multilingual Educational Ontologies with Learning Objects in different languages. Wikipedia is a valuable resource to accomplish this purpose. In this scenario, we have developed LiDom Builder, a framework that uses Wikipedia as an additional knowledge base for the automatic generation of Multilingual Domain Modules from textbooks. The framework includes domain-independent term extraction methods to identify which topics of Wikipedia are related to the domain to be learnt and, also, extracts their equivalents in other languages. In order to complete the Educational Ontology, we have defined a method to extract pedagogical relationships from Wikipedia and other general-purpose knowledge bases. From this task, we highlight the extraction of relationship that will allow the sequencing of the topics in Technology Supported Learning Systems. In addition, LiDom Builder takes advantage of the structured contents of Wikipedia to identify text fragments that can be used for educational purposes, classifies them and generates their corresponding Learning Objects. The interlanguage links between topics of Wikipedia are used to create Learning Objects in other languages.     

Minding the communications gap: How can universities signal the availability and value of their scientific knowledge to commercial organizations?

We posit that a communications gap exists between universities and commercial organizations, attributed to their idiosyncratic goals, interests, and incentives. To bridge this gap, universities need to recognize and leverage observable differences in the strength of signals and the width of channels used to disseminate their scientific knowledge externally. We explore these ideas by analyzing knowledge dissemination and academic engagement activities in 133 UK universities in the period 2011–2019. Our analysis shows that universities with a lower scientific impact have a higher intensity of collaborative research, contract research, and consultancy activities if they communicate that impact through more prominent scientific outlets. In turn, universities with a higher scientific impact have a lower intensity of interaction with commercial organizations if they communicate their scientific impact through less prominent scientific outlets. We further reveal that universities with a higher economic impact show a higher intensity of collaborative research. At the same time, we find no evidence that the social impact generated by universities is linked to the intensity of university-industry interaction, no matter the channels through which that impact is communicated. Using these findings, we draw implications for practice and policy.