摘要 :
The authors find themselves in the midst of a global social transformation that is shaping the common perception of reality. The development of technology-enabled collaborative networks, virtual collaboration, structured collabora...
展开
The authors find themselves in the midst of a global social transformation that is shaping the common perception of reality. The development of technology-enabled collaborative networks, virtual collaboration, structured collaboration processes, and digital team collaboration affects every part of society. Research on collaboration and collaboration systems has achieved sufficient maturity and scope that an overall conceptual definition of collaboration is now needed and possible. This article proposes a conceptual approach and terminology as a step towards bridging isolated communities of collaborating researchers in various fields. The authors offer a fundamental philosophical description of what collaboration is (and is not) based on relevant epistemological, metaphysical, and axiological insights derived from a synthesis of existing collaboration research, and the authors outline the most obvious needs for further research toward formalizing a more fully-realized philosophy of collaboration.
收起
摘要 :
Purpose - Collaboration is an important way for scientific research. It attracts a large number of researchers, and forms a series of measurement evaluation indicators. The purpose of this study further enriches the evaluation sys...
展开
Purpose - Collaboration is an important way for scientific research. It attracts a large number of researchers, and forms a series of measurement evaluation indicators. The purpose of this study further enriches the evaluation system of collaboration and provides new indicators to measure collaboration ability at author level in order to identify the most appropriate potential partners. Design/methodology/approach - The papers published during the period 2006-2015 and collected from Web of Science Core Collection in library and information science (LIS) are regarded as data source. And it defines and measures the collaborative rate, collaborative breadth and collaborative depth at author level. Findings - The authors' research shows that collaboration is an important way in the scientific research activities in LIS. Unfortunately, most author's collaborative breadth and the collaborative depth are lower than mean. Therefore, the author's scope and stability of collaboration is further strengthened in future. Authors can identify the most appropriate potential partners according to author's research purpose and the region of the collaborative breadth - the collaborative depth. Originality/value - It further enriches the evaluation system of collaboration and provides new indicators to evaluate collaboration ability at author level. Authors can identify the most appropriate potential partners according to author's collaboration ability.
收起
摘要 :
In this paper, an attempt has been made to investigate the pattern of authorship, type of collaborated research and the degree of collaboration in the field of Social Sciences. The data was collected from social science citation i...
展开
In this paper, an attempt has been made to investigate the pattern of authorship, type of collaborated research and the degree of collaboration in the field of Social Sciences. The data was collected from social science citation index of ISI Thomson Reuters, for the period of twelve years i.e. 2000-2011. Author publications have been divided into three block periods 2000-2003, 2004-2007, and 2008-2011. The Collaborative Index (CI) and Degree of Collaboration (DC) and Collaboration Coefficient (CC) have been calculated. These are increasing from one block to another indicating a progressive trend in collaborative research.
收起
摘要 :
Collaboration Engineering (CE) is an approach for the design and deployment of repeatable collaborative work practices that can be executed by domain experts without the ongoing support of external collaboration professionals. Sin...
展开
Collaboration Engineering (CE) is an approach for the design and deployment of repeatable collaborative work practices that can be executed by domain experts without the ongoing support of external collaboration professionals. Since 2001, CE has been an active and productive topic of research that has attracted scientists from different backgrounds and disciplines. CE research started with studies on ways to transfer professional collaboration expertise to novices using a pattern language called thinkLets. Subsequent research focused on the development of theories to explain key phenomena, the development of a structured design methodology, training methods, technology support, design theories, and various field and experimental studies focusing on specific aspects of the CE approach. This paper details the contributions from CE research and practice based on a literature assessment of 331 publications. It extracts the key insights from the body of CE research thus far, identifies significant areas of inquiry that have not yet been explored, and looks ahead at the CE research opportunities that are emerging as our society, organizations, technologies, and the nature of collaboration evolve.
收起
摘要 :
The quality of collaboration directly affects the quality of an organization's outcomes and performance. Trends like globalization and increased product and service complexity have pushed organizations to become more and more reli...
展开
The quality of collaboration directly affects the quality of an organization's outcomes and performance. Trends like globalization and increased product and service complexity have pushed organizations to become more and more reliant on collaboration in distributed, cross-disciplinary, cross-cultural, virtual teams. The present research is based on an applied science/engineering (AS/E) research paradigm to address an important class of unsolved problems-measuring the quality of collaboration within and across organizational boundaries. This paper presents a collaboration maturity model (Col-MM) to assess an organization's team collaboration maturity as a first step toward a generalizable solution to that class of problems. The Col-MM is intended to be sufficiently generic to be applied to different organizational and team settings and usable by practitioners for conducting self-assessments. The Col-MM was developed during a series of focus group meetings with professionals (business unit managers). The model was then piloted and subsequently applied in a field study in an automotive company. This paper reports on the development and field application of the Col-MM. It contributes to the collaboration science literature, theory, and practice through a detailed AS/E study that develops a maturity model and a system for administering it that provides proof of value and effective use in the field.
收起
摘要 :
This article reviews the current literature related to the elements that make collaboration within large systems successful. The Greater Bay Area Mental Health and Education Workforce Collaborative is highlighted as a California b...
展开
This article reviews the current literature related to the elements that make collaboration within large systems successful. The Greater Bay Area Mental Health and Education Workforce Collaborative is highlighted as a California best practices model for regional partnership development and implementation. Also included is a second case example that takes similar collaborative elements and uses them in one of the Greater Bay Area Collaborative member counties.
收起
摘要 :
Multiorganizational, multistakeholder (MO-MS) collaborations that may span organizational and national boundaries, present design challenges beyond those of smaller-scale collaborations. This study opens an exploratory research st...
展开
Multiorganizational, multistakeholder (MO-MS) collaborations that may span organizational and national boundaries, present design challenges beyond those of smaller-scale collaborations. This study opens an exploratory research stream to discover and document design concerns for MO-MS collaboration systems beyond those of the single-task collaborations that have been the primary focus of collaboration engineering research. We chose the healthcare industry as the first target for this research because it has attributes common to many MO-MS domains, and because it faces significant challenges on a global scale, like the recent COVID-19 pandemic, for which MO-MS collaboration could offer solutions, as, for example, evidenced by the rapid collaborative development and distribution of COVID-19 vaccines. To this end, we reviewed 6,609 articles to find 100 articles that offered insights about the design of MO-MS collaboration systems, then conducted 50 semi-structured interviews in two countries with expert practitioners in the field. From those sources, we derived an eleven-category set of design concerns for MO-MS collaboration systems and argue their generalizability to other MO-MS domains. We offer exemplar probe questions that designers can use to increase the breadth and depth of requirements gathering for MO-MS collaboration systems.
收起
摘要 :
The focus of the study is on the determinants of R&D collaboration and their effects on its breadth and depth. Using a sample from an original survey of 193 Finnish firms, we examine the effects of R&D intensity, incoming spillovers, size, specific motives and selected appropriability mechanisms on R&D collaboration with various actors. The findings indicate that R&D intensity and incoming spillovers have a positive impact on the breadth of collaboration, and that firm size is relevant. Size is also quite decisive in terms of depth in that it relates to the existence of collaboration with five out of six different partner types. Finally, the determinants differ slightly depending on the external organizations with which the firm collaborates. The study complements previous research on the determinants of R&D collaboration in focusing on a variety of factors and examining them in terms of both breadth and depth....
展开
The focus of the study is on the determinants of R&D collaboration and their effects on its breadth and depth. Using a sample from an original survey of 193 Finnish firms, we examine the effects of R&D intensity, incoming spillovers, size, specific motives and selected appropriability mechanisms on R&D collaboration with various actors. The findings indicate that R&D intensity and incoming spillovers have a positive impact on the breadth of collaboration, and that firm size is relevant. Size is also quite decisive in terms of depth in that it relates to the existence of collaboration with five out of six different partner types. Finally, the determinants differ slightly depending on the external organizations with which the firm collaborates. The study complements previous research on the determinants of R&D collaboration in focusing on a variety of factors and examining them in terms of both breadth and depth.
收起
摘要 :
The ability of organisations to support collaborative working environments is of increasing importance as they move towards more distributed ways of working. Despite the attention collaboration has received from a number of dispar...
展开
The ability of organisations to support collaborative working environments is of increasing importance as they move towards more distributed ways of working. Despite the attention collaboration has received from a number of disparate fields, there is a lack of a unified understanding of the component factors of collaboration. As part of our work on a European Integrated Project, CoSpaces, collaboration and collaborative working and the factors which define it were examined through the literature and new empirical work with a number of partner user companies in the aerospace, automotive and construction sectors. This was to support development of a descriptive human factors model of collaboration - the CoSpaces Collaborative Working Model (CCWM). We identified seven main categories of factors involved in collaboration: Context, Support, Tasks, Interaction Processes, Teams, Individuals, and Overarching Factors, and summarised these in a framework which forms a basis for the model. We discuss supporting evidence for the factors which emerged from our fieldwork with user partners, and use of the model in activities such as collaboration readiness profiling.
收起
摘要 :
The scant literature on individual scientists collaboration dynamics is used to develop a provisional mode! of research collaboration effectiveness. It incorporates external, collaborator, and team management factors, forming the ...
展开
The scant literature on individual scientists collaboration dynamics is used to develop a provisional mode! of research collaboration effectiveness. It incorporates external, collaborator, and team management factors, forming the basis for our theoretically informed qualitative analysis. We use this provisional model to guide semi-structured interview themes, deriving data from 60 US academic researchers, selected from a range of scientific and engineering disciplines as well as one social sciences discipline (economics). We present our findings in the form of respondent quotations related to the provisional model. We then conduct a further content analysis on the organizing constructs of respondent-assessed good and bad collaboration responses. The results of this second thematic coding of the interview data form the basis for the refinement of our model to include additional indicators, and to discuss some preliminary expectations about the associative relationships among the external, collaborator, and team management factors that contribute to scientist collaboration.
收起
原文获取