GROUP 2018 Special Issue Guest Editorial: Another 25 Years of GROUP

For over 25 years, the ACM International Conference on Supporting GroupWork (GROUP) has been and will continue to be the premier venue for research on Computer-Supported Cooperative Work,Human–Computer Interaction, Computer-Supported Collaborative Learning, and Socio-Technical Studies. The three papers in this special issue demonstrate GROUP’s continued commitment to diverse research approaches, emerging technologies, and collaborative work. We hope you enjoy these papers and, like us, look forward to another 25 years of GROUP.https://deepblue.lib.umich.edu/bitstream/2027.42/146739/1/Robert et al. 2018.pdfDescription of Robert et al. 2018.pdf : Articl

Emerging Changes in Attitudes to Inter-Institutional Collaboration: The Case of Organizations Providing Social Services in Communities

The need to change the government’s role and focus more on stakeholders’ collaboration when striving to get over economic, social and environmental challenges is highlighted in strategic documents of the most of the EU countries. Also, scholars argue that collaboration between institutions and sectors is a significant when seeking for sustainability of a country. It is evident that improvement of interinstitutional collaboration practice requires a permanent deep look into a situation despite dozens research which have already determined the key factors of collaboration effectiveness. Thus, in our paper, we aim to identify the most important drivers for strengthening interinstitutional collaboration in organizations providing social services. With this aim in mind, we have examined the social service employees’ attitudes to interinstitutional collaboration as a means to ensure quality of services and, then, we have identified the key factors that allow forming strong long-term collaboration relationships between institutions providing social services. Our research shows that interinstitutional collaboration gives an opportunity to provide better quality social services, thus contributing to the improvement of social service standards in the state. On the other hand, we have observed that practitioners tend to put lesser emphasis on the importance of leadership while not mentioning joint values and collaboration process control mechanisms at all. Finally, it should be noted that in the case of our research, no interinstitutional collaboration constraints described in literature were emphasized. It seems that successful cases of interinstitutional collaboration have one feature in common – the problems are avoided, and misunderstandings are solved before their escalation

Temporal Success Analyses in Music Collaboration Networks: Brazilian and Global Scenarios

Collaboration is a part of the music industry and has increased over recent decades; but little do we know about its effects on success and evolution. Our goal is to analyze how success has evolved over collaboration networks and compare its global scenario to a local, thriving one: the Brazilian music industry. Specifically, we build collaboration networks from data collected from Spotify's Global and Brazilian daily charts, analyze them and identify collaboration profiles in such networks. Analyses over their topological characteristics reveal collaboration patterns mapped into four different profiles: Standard, Niche, Ephemeral and Absent, where the two first have a higher level of success. Furthermore, we do deeper by evaluating the temporal evolution of such profiles through case studies: pop and k-pop globally, and pop and forró in Brazil. Overall, our findings emphasize the importance of collaboration profiles in assessing success, and show differences between the global and Brazilian scenarios

Temporal Success Analyses in Music Collaboration Networks: Brazilian and Global Scenarios

Collaboration is a part of the music industry and has increased over recent decades; but little do we know about its effects on success and evolution. Our goal is to analyze how success has evolved over collaboration networks and compare its global scenario to a local, thriving one: the Brazilian music industry. Specifically, we build collaboration networks from data collected from Spotify's Global and Brazilian daily charts, analyze them and identify collaboration profiles in such networks. Analyses over their topological characteristics reveal collaboration patterns mapped into four different profiles: Standard, Niche, Ephemeral and Absent, where the two first have a higher level of success. Furthermore, we do deeper by evaluating the temporal evolution of such profiles through case studies: pop and k-pop globally, and pop and forró in Brazil. Overall, our findings emphasize the importance of collaboration profiles in assessing success, and show differences between the global and Brazilian scenarios

DESIGN AND EXPLORATION OF NEW MODELS FOR SECURITY AND PRIVACY-SENSITIVE COLLABORATION SYSTEMS

Collaboration has been an area of interest in many domains including education, research, healthcare supply chain, Internet of things, and music etc. It enhances problem solving through expertise sharing, ideas sharing, learning and resource sharing, and improved decision making. To address the limitations in the existing literature, this dissertation presents a design science artifact and a conceptual model for collaborative environment. The first artifact is a blockchain based collaborative information exchange system that utilizes blockchain technology and semi-automated ontology mappings to enable secure and interoperable health information exchange among different health care institutions. The conceptual model proposed in this dissertation explores the factors that influences professionals continued use of video- conferencing applications. The conceptual model investigates the role the perceived risks and benefits play in influencing professionals’ attitude towards VC apps and consequently its active and automatic use

Collaboration Success Factors in an Online Music Community

Online communities have been able to develop large, open-source software (OSS) projects like Linux and Firefox throughout the successful collaborations carried out by their members over the Internet. However, online communities also involve creative arts domains such as animation, video games, and music. Despite their growing popularity, the factors that lead to successful collaborations in these communities are not entirely understood. In this paper, we present a study on creative collaboration in a music community where authors write songs together by 'overdubbing,' that is, by mixing a new track with an existing audio recording. We analyzed the relationship between song- and author-related measures and the likelihood of a song being overdubbed. We found that recent songs, as well as songs with many reactions, are more likely to be overdubbed; authors with a high status in the community and a recognizable identity write songs that the community tends to build upon