Directions for professional social matching systems

Abstract

review articles SUPPORTING HUMAN COLLABORATION has been a central driver of the development of information and communication technology. A relatively recent approach to this end is social matching, referring to computational ways of identifying and facilitating new social connections between people. 36 Social matching is most often connected with partnering for leisurely and romantic relationships-in fact, the most well-known social matching systems revolve around dating scenarios (for example, Tinder a) or triggering opportunistic interactions with strangers (for example, Happn b).

Building University-Industry Co-Innovation Networks in Transnational Innovation Ecosystems: Towards a Transdisciplinary Approach of Integrating Social Sciences and Artificial Intelligence

“…Professional social matching (PSM) matches individuals or groups for professional collaboration and co-creation of value. It covers a range of "organizational activities, including recruitment, headhunting, community building, and team formation within or across organizations as well as individually driven activities like mentoring, seeking advisory relationships, and general networking" [34].…”

“…Olsson, Huhtamäki, and Kärkkäinen [34] compared conventional PSM based on human decisions and the computational approach of PSM. It has been suggested by knowledge management studies that the most fruitful collaboration and the capacity for high innovation may result from complementary viewpoints amongst a diverse groups of actors [110].…”

“…The computational approach of PSM, however, can help identify optimal collaborators with supplementary capacities and bring them together for co-creation networks. However, the existing approaches are often too simplistic [34].…”

“…Olsson, Huhtamäki, and Kärkkäinen [34] also proposed that a more advanced PSM system to be developed in the future should focus on the following dimensions when matching collaborators:…”

“…Second, when matching collaborators, human decisions are often subject to the "homophily principle"-a tendency in which people form ties with similar others [33]. Selecting a "friend of a friend" helps strengthen existing social clusters [33], but does not help to reach those unknown communities and individuals [34], who could potentially contribute to innovation [35]. Third, although one may notice the limitation of professional social matching based on human decisions, it is difficult to find suitable tools and data to resolve the problem [34].…”