Journal articles: 'Collaborative knowledge'

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Yousef, Mohammed, and Cesar Alberto Collazos. "Collaborative strategies supporting knowledge management in organizations." Revista Colombiana de Computación 21, no. 2 (December 1, 2020): 6–12. http://dx.doi.org/10.29375/25392115.4026.

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Significant work has addressed the role of knowledge and its impacts on business organizations. The construction of effective environments implies time and cost pressure, allowing staff to seek immediate solutions from knowledge management (KM). Some studies have shown that collaborative knowledge generation through storage, access, dissemination, and application could help organizations collaborate with partner firms to share supply chain knowledge and improve their work. However, it is not clear how to structure activities that convey real collaboration. In that way, this paper proposes a mechanism using collaborative strategies supporting effective transfer knowledge in different kinds of organizations.

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Krkovic, Katarina, Sascha Wüstenberg, and Samuel Greiff. "Assessing Collaborative Behavior in Students." European Journal of Psychological Assessment 32, no. 1 (January 2016): 52–60. http://dx.doi.org/10.1027/1015-5759/a000329.

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Abstract. Skilful collaborative problem-solving is becoming increasingly important in various life areas. However, researchers are still seeking ways to assess and foster this skill in individuals. In this study, we developed a computer-assisted assessment for collaborative behavior (COLBAS) following the experiment-based assessment of behavior approach (objective personality tests; Cattell, 1958 ). The instrument captures participants’ collaborative behavior in problem-solving tasks using the MicroDYN approach while participants work collaboratively with a computer-agent. COLBAS can thereby assess problem-solving and collaborative behavior expressed through communication acts. To investigate its validity, we administered COLBAS to 483 German seventh graders along with MicroDYN as a measure of individual problem-solving skills and questions regarding the motivation to collaborate. A latent confirmatory factor analysis suggested a five-dimensional construct with two problem-solving dimensions (knowledge acquisition and knowledge application) and three collaboration dimensions (questioning, asserting, and requesting). The results showed that extending MicroDYN to include collaborative aspects did not considerably change the measurement of problem-solving. Finally, students who were more motivated to collaborate interacted more with the computer-agent but also obtained worse problem-solving results.

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Thagard, Paul. "Collaborative Knowledge." Nous 31, no. 2 (June 1997): 242–61. http://dx.doi.org/10.1111/0029-4624.00044.

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Staykova, Gergana, and Jason Underwood. "Assessing collaborative performance on construction projects through knowledge exchange." Engineering, Construction and Architectural Management 24, no. 6 (November 20, 2017): 968–87. http://dx.doi.org/10.1108/ecam-08-2016-0179.

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Purpose How knowledge exchange (KE) can be used for the continuous assessment and improvement of collaborative performance of project-based organisations in construction is explored. Collaboration on construction projects must be facilitated by people alongside practice of continuous performance assessment and improvement. Currently available assessment tools fail to explicitly define appropriate behaviours and actions due to a poor understanding of what it means for people to collaborate. In contrast, it is established that KE is the focus of collaborative efforts on construction projects; therefore, as most knowledge resides with people, it represents their role in collaboration. The paper aims to discuss these issues. Design/methodology/approach Through a phenomenological/interpretivist and qualitative methodology, how KE can be used for the continuous assessment and improvement of collaborative performance in project-based organisations in construction is explored. A single case study of a UK rail strategic alliance was adopted and six semi-structured interviews were conducted and analysed through a thematic analysis. Findings An assessment tool is proposed based on a set of 20 characteristics of KE, divided into seven categories and linked to indicators of collaboration. The tool can be applied to highly collaborative projects where BIM and Lean are implemented, and project participants are collocated. By measuring their performance against the set criteria, project teams can assess which of their behaviours and actions are inappropriate, and focus their efforts on correcting them. Originality/value Defining the abstract indicators traditionally used to assess collaboration in terms of characteristics pertinent to day-to-day communication amongst participants on collaborative projects to facilitate the continuous assessment and improvement of collaborative performance.

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Chen, Haohui, and Ian D. Bishop. "Collaborative Environmental Knowledge Management." International Journal of E-Planning Research 2, no. 1 (January 2013): 58–81. http://dx.doi.org/10.4018/ijepr.2013010104.

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This article describes the integration of a smartphone, a world viewer and a geodatabase into a collaborative virtual environment (CVE) as a knowledge management platform for use in land management. A spatial interoperability mechanism was designed for integration of these various technologies distributed in different system layers and written in different programming languages. As users may vary in their education backgrounds and understanding of advanced information technologies, the proposed platform employs existing popular spatial technologies to facilitate usage. The platform includes an iPhone™ application, a web portal based on Google Earth™ viewer and a data server, all of which may be deployed in different and distant places, allowing remote collaboration. To evaluate the usability of the platform, a case study was implemented involving a scientist, a farmer and an agricultural consultant working collaboratively, but remotely, within the system to support their farming practices, decision-making and agricultural research. Users found that the efficiency of agricultural knowledge transfer was increased, and the centralized knowledge database would also be helpful for tracking farming history and supporting agricultural research. This represents a new paradigm in agricultural knowledge management, where relationships between the three key parties are bidirectional, in contrast to the traditional knowledge transfer pattern. This paradigm can be readily extended to other environmental management contexts.

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CABALLÉ, SANTI, THANASIS DARADOUMIS, FATOS XHAFA, and JORDI CONESA. "ENHANCING KNOWLEDGE MANAGEMENT IN ONLINE COLLABORATIVE LEARNING." International Journal of Software Engineering and Knowledge Engineering 20, no. 04 (June 2010): 485–97. http://dx.doi.org/10.1142/s0218194010004839.

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This paper aims to explore two crucial aspects of collaborative work and learning: on the one hand, the importance of enabling collaborative learning applications to capture and structure the information generated by group activity and, on the other hand, to extract the relevant knowledge in order to provide learners and tutors with efficient awareness, feedback and support with regards to group performance and collaboration. To this end, in this paper we first propose a conceptual model for data analysis and management that identifies and classifies the many kinds of indicators that describe collaboration and learning into high-level aspects of collaboration. Then, we provide a computational platform that, at a first step, collects and classifies both the event information generated asynchronously from the users' actions and the labeled dialogues from the synchronous collaboration according to these indicators. This information is then analyzed in next steps to eventually extract and present to participants the relevant knowledge about the collaboration. The ultimate aim of this platform is to efficiently embed information and knowledge into collaborative learning applications. We eventually suggest a generalization of our approach to be used in diverse collaborative learning situations and domains.

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Lanzola, G. "Collaborative Knowledge Processing." Yearbook of Medical Informatics 06, no. 01 (August 1997): 525–28. http://dx.doi.org/10.1055/s-0038-1637874.

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LIOU, Y. "Collaborative knowledge acquisition." Expert Systems with Applications 5, no. 1-2 (1992): 1–13. http://dx.doi.org/10.1016/0957-4174(92)90089-b.

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W. Nix, Nancy, and Zach G. Zacharia. "The impact of collaborative engagement on knowledge and performance gains in episodic collaborations." International Journal of Logistics Management 25, no. 2 (August 5, 2014): 245–69. http://dx.doi.org/10.1108/ijlm-05-2013-0060.

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Purpose – Supply chains are embedded in a larger network of enterprises where firms exchange offerings, often compete for the same customers, and constantly innovate to improve their performance. In these dynamic environments, firms are increasingly dependent on the knowledge and expertise in external organizations to innovate, problem-solve, and improve performance. Firms are increasingly collaborating to exchange and pool skills and knowledge and deploy resources and capabilities not found in their own firm. This research using both structured interviews and survey data seeks to determine what are the direct benefits and the ancillary benefits of collaboration. The paper aims to discuss these issues. Design/methodology/approach – A mixed methodology approach was utilized, using qualitative structured interviews leading to developing a research model and then an empirical survey of 473 participants who are involved in their respective organization's collaboration projects. The data were analyzed using structural equation modeling to examine relationships between collaborative engagement, knowledge gained, operational outcomes and relational outcomes. Findings – The results of the study indicate that collaborative engagement has a direct effect on knowledge gained, operational outcomes and relational outcomes in collaboration. The ancillary benefit of collaboration is the learning that takes place leads to improved operational outcomes and relational outcomes. Research limitations/implications – In this research study all the constructs are only examined from a single perspective. This can be a limitation as it would be of greater value to collect data from all the members involved in the collaboration. Originality/value – Collaboration has been well studied in many fields but this research suggests an important ancillary benefit that needs to be considered when deciding to collaborate is the knowledge and learning that happens during a collaboration.

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Chanal, Valérie. "Building knowledge for innovation management." VINE 42, no. 3/4 (August 10, 2012): 396–415. http://dx.doi.org/10.1108/03055721211267512.

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PurposeThe aim of this research is to evaluate the conditions of production of methodological knowledge on innovation management. It seeks to present the experience of an applied research team working with practitioners of R&D by means of an inter‐disciplinary research team in social sciences. The theoretical framework aims to present two approaches for knowledge production: collaboration with practitioners and interdisciplinary research in social science.Design/methodology/approachThe methodology is a case study focused on the various forms of collaborative research. While the literature mainly considers only one form of collaborative research, the author distinguishes between mono‐disciplinary and inter‐disciplinary collaborative research on one hand, and between mono‐partner and multi‐partner collaborative research on the other, leading to four typical research situations. The paper examines empirically the rigor‐relevance debate as seen as the researchers and the practitioners.FindingsThe findings bring to light different criteria that influence the production of knowledge, within the rigor‐relevance dilemma, according to the collaborative research situations and the epistemological posture of researchers from various disciplines.Practical implicationsThe practical implications concern the conditions under which a research program in social sciences can reach both rigor and relevance and produce methodological knowledge. It provides a guide for effective collaboration between social science academics and managers.Social implicationsThis research enlightens the conditions of collaboration between the academic world and the industrial world, which is key to foster innovation, particularly in social sciences.Originality/valueThe value of the paper is to illustrate that collaborative research requires a “boundary organization” to create new knowledge, which is a type of task force capable of mediation between academia, industrials and consultants.

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Mu, Wenxin, Frederick Benaben, Nicolas Boissel-Dallier, and Herve Pingaud. "Collaborative Knowledge Framework for Mediation Information System Engineering." Scientific Programming 2017 (October 23, 2017): 1–18. http://dx.doi.org/10.1155/2017/9026387.

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With the worldwide interenterprise collaboration and interoperability background, automatic collaborative business process deduction is crucial and imperative researching subject. A methodology of deducing collaborative process is designed by collecting collaborative knowledge. Due to the complexity of deduction methodology, a collaborative knowledge framework is defined to organize abstract and concrete collaborative information. The collaborative knowledge framework contains three dimensions: elements, levels, and life cycle. To better define the framework, the relations in each dimension are explained in detail. They are (i) relations among elements, which organize the gathering orders and methods of different collaborative elements, (ii) relations among life cycle, which present modeling processes and agility management, and (iii) relations among levels, which define relationships among different levels of collaborative processes: strategy, operation, and support. This paper aims to explain the collaborative knowledge framework and the relations inside.

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Sari, Burak, Hermann Loeh, and Bernhard R. Katzy. "Emerging Collaboration Routines in Knowledge-Intensive Work Processes." International Journal of e-Collaboration 6, no. 1 (January 2010): 33–52. http://dx.doi.org/10.4018/jec.2010091103.

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This article aims to identify how knowledge workers develop their own collaboration strategies and techniques for getting their work done in complex, dynamic knowledge intensive work environments. Three case studies have been conducted to explore the nature of routines in different collaborative working settings as they provide sufficient detail to better understand the actual state and problems regarding collaborative work processes among knowledge workers. Evidences from these cases show that coordination and control of projects, tasks, information, and little support by collaboration tools in all work patterns seem to be the biggest issues and there is a need for better understanding of collaboration culture as well as harmonious and integrated redesign of collaboration routines with new collaborative working environment technologies. The analysis of the cases also shows that there are considerable differences in ways of how actors communicate and coordinate their work which leads varying degrees of quality in knowledge intensive work. The results can be used to achieve a smoother collaborative working phase through innovative technical developments.

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VICENTE-OLIVA, SILVIA, ÁNGEL MARTÍNEZ-SÁNCHEZ, and LUIS BERGES-MURO. "ENHANCING THE OUTCOMES IN R&D COLLABORATIVE PROJECTS: AN EMPIRICAL ANALYSIS OF THE MIDDLE EBRO VALLEY IN SPAIN." International Journal of Innovation Management 20, no. 07 (August 5, 2016): 1650061. http://dx.doi.org/10.1142/s1363919616500614.

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The collaboration for developing research and development (R&D) projects highlights the importance to access new external knowledge. Drawing from a mixed-methods approach in a sample of projects carried out by Spanish firms, our key findings show that every project’s dimension of absorptive capacity is related to collaborative performance in different ways. Organisations with capability difficulties to transform external knowledge enhanced their R&D projects’ outcomes by collaborating more intensively. However, it is the ability to exploit that external knowledge into innovation which could be the key to obtain outcomes and support to R&D programs. The regional particularities have showed new ways to collaborate due to the innovation culture in the Middle Ebro Valley.

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Baker, Michael J. "Collaboration in collaborative learning." Coordination, Collaboration and Cooperation 16, no. 3 (December 30, 2015): 451–73. http://dx.doi.org/10.1075/is.16.3.05bak.

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This paper presents a theorisation of collaborative activity that was developed in the research field known as “collaborative learning”, in order to understand the processes of co-elaboration of meaning and knowledge. Collaboration, as distinguished from cooperation, coordination and collective activity, is defined as a continued and conjoined effort towards elaborating a “joint problem space” of shared representations of the problem to be solved. An approach to analysing the processes of co-construction of a joint problem space is outlined, in terms of inter-discursive operations, together with approaches to defining different forms of cooperative activity. In conclusion, the specificity of this approach to defining collaboration is discussed in relation to other fields of research.

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Heerwagen, Judith H., Kevin Kampschroer, Kevin M. Powell, and Vivian Loftness. "Collaborative knowledge work environments." Building Research & Information 32, no. 6 (November 2004): 510–28. http://dx.doi.org/10.1080/09613210412331313025.

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Chen, W., and B. Wasson. "Coordinating Collaborative Knowledge Building." International Journal of Computers and Applications 25, no. 1 (January 2003): 1–10. http://dx.doi.org/10.1080/1206212x.2003.11441678.

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Li, Yulong, Monideepa Tarafdar, and S. Subba Rao. "Collaborative knowledge management practices." International Journal of Operations & Production Management 32, no. 4 (March 16, 2012): 398–422. http://dx.doi.org/10.1108/01443571211223077.

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Borjigen, Chaolemen. "Mass collaborative knowledge management." Program 49, no. 3 (July 6, 2015): 325–42. http://dx.doi.org/10.1108/prog-02-2015-0023.

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Purpose – The purpose of this paper is to reveal the underlying principles of knowledge processing in a new era of mass collaboration and provide an integrated guideline for organizational knowledge management (KM) based on identifying the gaps between the existing KM theories and emerging knowledge initiatives such as Web 2.0, Pro-Am, Crowdsourcing, as well as Open Innovation. Design/methodology/approach – This research mainly employs three types of research methodologies: Literature study was conducted to connect this study with conventional theories in KM and propose the main principles of Mass Collaborative Knowledge Management (MCKM). Object-oriented modeling was used for designing its interaction model. The case study method was employed to discuss the two typical practices carried out by Goldcorp Inc. as well as the Defence Advanced Research Projects Agency. Findings – This paper proposes the novel KM paradigm called MCKM and also provides its main principles and the interaction model. First, it identifies the gaps between emerging practices and existing KM theories. Second, it embraces the long tails into the scope of organizational KM and extends the scope of prevailing KM studies. Third, it falls back on Pro-Ams to save the costs of and to reduce the risk to organizational KM as well. Fourth, it highlights the advantages of opening organizational internal knowledge and transforms the core beliefs in conventional KM. Finally, it classifies organizational knowledge into two types, domain knowledge and non-domain knowledge, and provides some managing policies, respectively. Practical implications – Introducing MCKM into organizational KM will not only enhance the organizational knowledge creation and sharing, but also help an organization build its open knowledge ecosystem. Originality/value – This is a paper to introduce a new direction of KM studies, which guides an organization to build an open knowledge ecosystem by implementing mass collaborations and taking advantages of the complementary advantages of men and machines in knowledge processing.

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Hmelo-Silver, Cindy E., and Howard S. Barrows. "Facilitating Collaborative Knowledge Building." Cognition and Instruction 26, no. 1 (January 18, 2008): 48–94. http://dx.doi.org/10.1080/07370000701798495.

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Hmelo-Silver, Cindy E. "Analyzing collaborative knowledge construction." Computers & Education 41, no. 4 (December 2003): 397–420. http://dx.doi.org/10.1016/j.compedu.2003.07.001.

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Masud, Mehedi. "Knowledge Update in Collaborative Knowledge Sharing Systems." International Journal of Knowledge Society Research 6, no. 3 (July 2015): 19–31. http://dx.doi.org/10.4018/ijksr.2015070102.

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In a collaborative knowledge sharing system each source is associated with knowledge base system that participates in knowledge sharing with other sources. Acquaintances of sources build a collaborative knowledge sharing system or network in which each source is acquainted with other sources. The network of sources can be either acyclic or cyclic, meaning that they can contain acquaintance chains that are acyclic or cyclic. Updating knowledge in the sources involved in an acyclic logical network of sources is done by propagating an update from the originating source until the update reaches the leaves of the network. However, cyclic cases may create complexities due to conflicts that may arise between different versions of propagated updates. The author examines update propagation in both cyclic and acyclic networks. Moreover, the authors considers cases where a source is temporarily unavailable or offline. Here the author's propagation mechanism keeps track of every source even if the source is not available for a certain period of time until that source becomes available. Once a source comes back online the system must propagate the update destined to the returning sources to keep its knowledge consistent with other sources. The author has implemented this mechanism and evaluated it on a small collaborative knowledge sharing system.

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Guo, Weiwei. "Collaborative knowledge management for corporate ecological responsibility." Data Technologies and Applications 53, no. 3 (July 1, 2019): 304–17. http://dx.doi.org/10.1108/dta-01-2019-0003.

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Purpose Knowledge has become the basis of enhancing the core competitiveness of enterprises in this era of knowledge-driven economies. Collaborative knowledge management not only realizes the real-time exchange and communication of knowledge among different enterprises, but also facilitates the collaboration and integration of knowledge. Collaborative knowledge management has been successfully applied to different fields. To address the poor ecological responsibility of enterprises, the purpose of this paper is to introduce the concept of collaborative knowledge management in this research to determine if the evolution of the decision-making process in collaborative knowledge management is involved in corporate ecological responsibility (CER). Design/methodology/approach This research established an evolutionary game model of collaborative knowledge management for CER. The behavioral, evolutionary law and stable behavioral, evolutionary strategy of the participants was identified according to the replicator dynamics equation. Simulation analysis was conducted using MATLAB software. Findings Research results demonstrated that, first, the strategic selection of firms is influenced by cost and interest coefficients. Second, the strategy, selection of enterprises, is related to the common benefits of enterprise cooperation. Third, during the systematic evolution and stabilization of strategies, enterprises adopt the same knowledge strategies. Originality/value On the basis of the research findings, policy suggestions were proposed to encourage enterprises to implement collaborative knowledge management strategies in ecological responsibility.

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Jiang, Cui Qing, Peng Fei Ge, and Song Wang Liu. "An Integration Framework of Product Design Knowledge Oriented to Collaborative Design." Advanced Materials Research 403-408 (November 2011): 3067–70. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3067.

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During the process of mechanical product design, it is difficult for designer to obtain the required knowledge accurately. Through analyzing knowledge requirements of collaborative design, as well as the close relationship of knowledge with knowledge, business and people, we presents a new knowledge integration patterns and mechanism oriented to product collaboration design. Then according to the characteristics of knowledge integration system for collaborative design, a knowledge integration system framework oriented to product collaboration design is presented. Finally we develop a prototype system of knowledge integration supporting product collaboration design.

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Bhang, Sungee, and Dongsik Kim. "Effects of Collaborative Argumentation Scaffolds on Building Collaborative Knowledge and Learner's Domain Knowledge in Computer-Supported Collaborative Learning." Journal of Educational Technology 26, no. 2 (June 30, 2010): 267–306. http://dx.doi.org/10.17232/kset.26.2.267.

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Duffy, Jan. "Collaborative computing, groupware and knowledge." Information Management & Computer Security 4, no. 2 (May 1996): 39–41. http://dx.doi.org/10.1108/09685229610121026.

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Jakubik, Maria. "Experiencing collaborative knowledge creation processes." Learning Organization 15, no. 1 (January 11, 2008): 5–25. http://dx.doi.org/10.1108/09696470810842475.

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ElMaraghy, Waguih. "Knowledge Management in collaborative engineering." International Journal of Collaborative Engineering 1, no. 1/2 (2009): 114. http://dx.doi.org/10.1504/ijce.2009.027442.

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Spinellis, Diomidis, and Panagiotis Louridas. "The collaborative organization of knowledge." Communications of the ACM 51, no. 8 (August 2008): 68–73. http://dx.doi.org/10.1145/1378704.1378720.

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Wallace, D. L. "Collaborative Planning and Transforming Knowledge." Journal of Business Communication 31, no. 1 (January 1, 1994): 41–60. http://dx.doi.org/10.1177/002194369403100103.

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Thuraisingham, Bhavani, Amar Gupta, Elisa Bertino, and Elena Ferrari. "Collaborative commerce and knowledge management." Knowledge and Process Management 9, no. 1 (January 2002): 43–53. http://dx.doi.org/10.1002/kpm.132.

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Jeong, Heisawn, and Michelene T. H. Chi. "Knowledge convergence and collaborative learning." Instructional Science 35, no. 4 (November 22, 2006): 287–315. http://dx.doi.org/10.1007/s11251-006-9008-z.

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Forestier, G., P. Gançarski, and C. Wemmert. "Collaborative clustering with background knowledge." Data & Knowledge Engineering 69, no. 2 (February 2010): 211–28. http://dx.doi.org/10.1016/j.datak.2009.10.004.

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Zittoun, Tania, Aleksandar Baucal, Flora Cornish, and Alex Gillespie. "Collaborative Research, Knowledge and Emergence." Integrative Psychological and Behavioral Science 41, no. 2 (September 5, 2007): 208–17. http://dx.doi.org/10.1007/s12124-007-9021-z.

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Colen, Kerryn, and Roslyn Petelin. "Challenges in collaborative writing in the contemporary corporation." Corporate Communications: An International Journal 9, no. 2 (June 1, 2004): 136–45. http://dx.doi.org/10.1108/13563280410534339.

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Collaborative writing is pervasive in the contemporary corporate workplace. North American research reports that nine out of ten business professionals produce some of their documents as part of a team. As workplace writers seek to meet the business goals of their employers, and further their own careers, they require sophisticated skills in joining with other writers to collaboratively produce documents. Taking advantage of the benefits, and meeting the challenges of this demand, requires corporate and academic communities to collaborate: to address gaps in the knowledge about collaborative writing and to train and develop competent collaborative writers.

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Whitehead, Kimberly, Zach Zacharia, and Edmund Prater. "Investigating the role of knowledge transfer in supply chain collaboration." International Journal of Logistics Management 30, no. 1 (February 11, 2019): 284–302. http://dx.doi.org/10.1108/ijlm-07-2017-0184.

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PurposeDespite the large literature base associated with dyadic collaboration, its knowledge-based antecedents are still not well understood. The purpose of this paper is to better understand those antecedents and to explore why the supply chain (SC) literature has found mixed results regarding knowledge transfer and absorptive capacity in dyadic collaboration research.Design/methodology/approachThe critical incident technique (CIT) was utilized, using qualitative semi-structured interviews to refine a proposed research model. In total, 43 executives were interviewed each providing a description of both a successful and an unsuccessful SC dyadic collaboration. The interviews were analyzed to better understand the knowledge-based antecedents of buyer–supplier collaboration.FindingsThis study suggests that dyadic collaboration and subsequent outcomes are improved by successful knowledge transfer. Additionally, knowledge transfer requires both distributive and absorptive capacities in each participant. The research also uncovered new evidence to support the need for a collaborative orientation to support successful knowledge transfer.Research limitations/implicationsThe interviews conducted using the CIT provided a wealth of information and executive experiences in SC collaboration. However, the interviews only provide a single perspective of collaborative engagements. Multiple perspectives of each collaboration would add value to this research.Originality/valueSC collaboration and knowledge transfer have been well studied across disciplines. This research introduces new knowledge-related variables that can contribute to successful collaboration: distributive capability and SC collaborative orientation.

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Hurmelinna‐Laukkanen, Pia. "Enabling collaborative innovation – knowledge protection for knowledge sharing." European Journal of Innovation Management 14, no. 3 (August 2, 2011): 303–21. http://dx.doi.org/10.1108/14601061111148816.

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Mehlenbacher, Brad, Ashley Rose Kelly, Christopher Kampe, and Meagan Kittle Autry. "Instructional Design for Online Learning Environments and the Problem of Collaboration in the Cloud." Journal of Technical Writing and Communication 48, no. 2 (November 16, 2016): 199–221. http://dx.doi.org/10.1177/0047281616679112.

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To investigate how college students understand and use cloud technology for collaborative writing, the authors studied two asynchronous online courses, on science communication and on technical communication. Students worked on a group assignment (3–4 per group) using Google Docs and individually reflected on their experience writing collaboratively. This article explores leadership and how it interacts with team knowledge making and the collaborative writing process. Guidelines are outlined for instructors interested in adopting collaborative, cloud-based assignments, and the tension between providing clear instructional guidance for student teams and allowing teams to embrace the ambiguity and messiness of virtual collaboration are discussed.

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Han, Chun Hua, Ying Zhu, Wei Cheng, and Yuan Xu. "Human-Machine Collaborative Knowledge Modeling in Railway Location Intelligent Environment." Applied Mechanics and Materials 409-410 (September 2013): 1502–8. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.1502.

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Human and computer need interchange knowledge when they tackle a common task collaboratively. But knowledge they use should represented in different forms, so they can work efficiently. Based on Ontology and (Object-Oriented) O-O technology, a knowledge modeling method for human-machine collaboration was proposed to build GIS-based Intelligent Environment for Railway Location (GIERL). Human-machine collaborative knowledge is comprised of Knowledge for Professional and for Computer, both of which are modeled as ontologies and connected to each other by Concept-Relation Dictionary. Knowledge for Computer are represented by O-O, rules of which described by hierarchical model and bi-formal model, and Problem Solving Knowledge as Control Knowledge of Inference Engine. The conceptual model of Knowledge for Professional are represented as simplified Semantic Web, and realized as knowledge forest with Meta-Knowledge by O-O and Microsoft Flow-Document technology when represents it. The proposed method has been successfully used to establish GIERL.

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Reinke, Amanda. "NGO-Research Collaborations and Conflicts." Commoning Ethnography 2, no. 1 (December 19, 2019): 98. http://dx.doi.org/10.26686/ce.v2i1.5359.

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Ethnographers collaborating with NGOs and non-profits while simultaneously researching their organizational structure, practices, and beliefs about service, advocacy, and activism face myriad challenges. However, collaboration – as it exists in a dialectical relationship between stakeholders working towards common goals – may also generate ethnographic insights that add to anthropological knowledge of NGOs. According to Lassiter (2005a, 2005b), researchers undertaking collaborative ethnography have four commitments: (1) ethical responsibilities to stakeholders; (2) honesty/transparency about research; (3) accessible writing; and (4) collaborative reading, writing, and interpretation. Collaborations may be interrupted at various points, but especially where bureaucratic structures and operations intervene. For example, agreements and documentation (e.g., memoranda of understanding, or MOUs) often challenge the interests and affect of collaborative work. In this article I draw on five years of collaborative NGOgraphy, Lassiter’s conceptualization of collaborative ethnography, and respond to Hymes’ (1972) call for a personal ethnography, in order to discuss the challenges and opportunities of NGO-researcher collaboration.

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Hoppe, Silke, Laura Vermeulen, Annelieke Driessen, Els Roding, Marije de Groot, and Kristine Krause. "Learning in Collaborative Moments." Anthropology in Action 26, no. 3 (December 1, 2019): 10–22. http://dx.doi.org/10.3167/aia.2019.260302.

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In this article, we describe experiences with dialogue evenings within a research collaboration on long-term care and dementia in the Netherlands. What started as a conventional process of ‘reporting back’ to interlocutors transformed over the course of two years into learning and knowing together. We argue that learning took place in three different articulations. First, participants learnt to expand their notion of knowledge. Second, they learnt to relate differently to each other and, therewith, to dementia. And third, participants learnt how to generate knowledge with each other. We further argue that these processes did not happen continuously, but in moments. We suggest that a framework of collaborative moments can be helpful for research projects that are not set up collaboratively from the start. Furthermore, we point to the work required to facilitate these moments.

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McCay, Elizabeth, Kristin Cleverley, Audrey Danaher, and Naomi Mudachi. "Collaborative partnerships: bridging the knowledge practice gap in client-centred care in mental health." Journal of Mental Health Training, Education and Practice 10, no. 1 (March 9, 2015): 51–60. http://dx.doi.org/10.1108/jmhtep-07-2014-0018.

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Purpose – The purpose of this paper is to describe a partnership, the Ryerson-Centre for Addiction and Mental Health Collaborative for Client-Centred and Family Sensitive Care Collaborative, between an urban university and tertiary care mental health facility to build capacity in using research evidence to support client-centred care. A cornerstone of the partnership was a study exploring the connection between effective interprofessional collaboration and the capacity to provide exemplary client-centred care in mental health. Design/methodology/approach – The Collaborative brings together organizations with shared values and a commitment to client-centred interprofessional care. It is a strategic approach in amplifying opportunities for the uptake of research evidence and knowledge transfer. One of the principal deliverables for the Collaborative was a multi-phased study exploring the relationship between team collaboration and client-centred care. Findings – Research findings identified a significant association between the level of team effectiveness and collaboration and the staffs’ perceived capacity to deliver client-centred care. Client and family member perspectives highlighted the importance of interprofessional team functioning and collaboration. The work of the Collaborative helped narrow the knowledge practice gap through: a research practicum to mentor graduate students; knowledge exchange and dissemination; and working with advanced practice staff to support change within the organization. Originality/value – Inter-organizational relationships, such as the Collaborative, support initiatives that accelerate the use of clinically relevant research and bridge the knowledge practice gap. A university/tertiary care teaching facility partnership represents a promising model for advancing and disseminating evidenced-based knowledge.

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Abdullah, Rusli, Shamsul Sahibudin, Rose Alinda Alias, and Mohd Hasan Selamat. "Collaborative Knowledge Management Systems for Learning Organisations." Journal of Information & Knowledge Management 04, no. 04 (December 2005): 237–45. http://dx.doi.org/10.1142/s0219649205001237.

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A knowledge management system (KMS) is a concept that can be used for creating knowledge repositories, improving knowledge access and sharing as well as communicating through collaboration, enhancing the knowledge environment and managing knowledge as an asset for an institution or organisation. In this paper, we propose a collaborative KMS framework for learning organisations (LOs) and discuss components in the framework that will help organisations to increase productivity and quality as well as to gain return on investment from a KMS. These components are KMS functionality, architecture, taxonomy, psychological, sociocultural and audit.

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Wang, Xiaoguang, Tao Lv, and Donald Hamerly. "How do altmetric sources evaluate scientific collaboration? An empirical investigation for Chinese collaboration publications." Library Hi Tech 38, no. 3 (November 27, 2019): 563–76. http://dx.doi.org/10.1108/lht-05-2019-0101.

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Purpose The purpose of this paper is to provide insights on the improvement of academic impact and social attention of Chinese collaboration articles from the perspective of altmetrics. Design/methodology/approach The authors retrieved articles which are from the Chinese Academy of Sciences (CAS) and indexed by Nature Index as sampled articles. With the methods of distribution analysis, comparative analysis and correlation analysis, authors compare the coverage differences of altmetric sources for CAS Chinese articles and CAS international articles, and analyze the correlation between the collaborative information and the altmetric indicators. Findings Results show that the coverage of altmetric sources for CAS international articles is greater than that for CAS Chinese articles. Mendeley and Twitter cover a higher percentage of collaborative articles than other sources studied. Collaborative information, such as number of collaborating countries, number of collaborating institutions, and number of collaborating authors, show moderate or low correlation with altmetric indicator counts. Mendeley readership has a moderate correlation with altmetric indicators like tweets, news outlets and blog posts. Practical implications International scientific collaboration at different levels improves attention, academic impact and social impact of articles. International collaboration and altmetrics indicators supplement each other. The results of this study can help us better understand the relationship between altmetrics indicators of articles and collaborative information of articles. It is of great significance to evaluate the influence of Chinese articles, as well as help to improve the academic impact and social attention of Chinese collaboration articles. Originality/value To the best of authors’ knowledge, few studies focus on the use of altmetrics to assess publications produced through Chinese academic collaboration. This study is one of a few attempts that include the number of collaborating countries, number of collaborating institutions, and number of collaborating authors of scientific collaboration into the discussion of altmetric indicators and figured out the relationship among them.

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Le Dinh, Thang, and Thanh Thoa Pham Thi. "Collaborative Business Service Modelling in Knowledge-Intensive Enterprises." International Journal of Innovation in the Digital Economy 7, no. 4 (October 2016): 1–22. http://dx.doi.org/10.4018/ijide.2016100101.

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Nowadays, knowledge-intensive enterprises, which offer knowledge-based products and services to the market, play a vital role in the knowledge-based economy. In the global networked age, collaborative business services have raised as one of the most important knowledge-intensive services that help enterprises to gain the competitive advantage. These services greatly depend on the ability to use network architectures to collaborate efficiently with business partners. This paper introduces the KB-CBSM (Knowledge-Based Collaborative Business Service Modelling) approach, which aims at providing a conceptual foundation for modelling effectively and improving incrementally collaborative business services in knowledge-intensives enterprises. The paper begins by presenting the necessity and principles of the KB-CBSM approach. Next, it presents the conceptual foundation that consists of three levels: Service value creation network, Service system and Service levels. The paper continues with a discussion and review of the relevant literature and ends with the conclusion and suggestions for further research.

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Brown, Phil, Nancy Bocken, and Ruud Balkenende. "Why Do Companies Pursue Collaborative Circular Oriented Innovation?" Sustainability 11, no. 3 (January 25, 2019): 635. http://dx.doi.org/10.3390/su11030635.

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We investigate why companies collaborate within the circular oriented innovation process. The purpose is to understand what motives trigger collaborative circular oriented innovation, as well as conditions, drivers and barriers. First, we define circular oriented innovation building on sustainable oriented innovation literature. Subsequently, we investigate 11 leading circular economy companies operating within the Netherlands, who developed collaborative circular oriented innovation activities. ‘Hard’ and ‘soft’ dimensions for innovation are identified and applied to delineate the drivers and barriers for collaborative circular oriented innovation. Our findings indicate that collaborations are conducted by entrepreneurially-minded actors through sharing a vision, enthusiasm, and crucially, a credible proposition for a circular economy. Furthermore, collaboration is sought early, to co-develop the problem and solution space and integrate disparate knowledge from across the value network, to mitigate increased complexity. Motives to collaborate vary between personal and organisational, and intrinsic and extrinsic levels. Collaborations start based on a relational basis between ‘CE front-runners’ to advance knowledge through experimentation. ‘Soft’ challenges to advance collaborations towards the competitive remain around culture, and the mindset to share rewards and risks. Without suitable solutions to these challenges, collaborative circular oriented innovation could remain underdeveloped within the transition towards the systemic level.

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CHEN, YUH-JEN. "A MEDICAL KNOWLEDGE SERVICE SYSTEM FOR CROSS-ORGANIZATIONAL HEALTHCARE COLLABORATION." International Journal of Cooperative Information Systems 18, no. 01 (March 2009): 195–224. http://dx.doi.org/10.1142/s0218843009001963.

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Collaboration among healthcare organizations depends on coordination, communication and control among healthcare organizations and effective sharing of medical information and knowledge. Medical services are knowledge-intensive activities. All information, knowledge, techniques and experience should be integrated, managed and shared using the Internet and information technology. Overall medical service quality and efficiency would be improved markedly if medical professionals and staff at different healthcare organizations could use and share medical knowledge resources. Therefore, a collaborative medical knowledge service would promote medical service quality. This study presents a novel medical knowledge service system for cross-organizational healthcare collaboration such that all medical professionals and staff at different healthcare organizations could capture, store, manage, integrate and share medical knowledge. This system should improve medical service quality and efficiency, and promote competition in the healthcare industry. Thus, this study (i) proposes a collaborative medical knowledge service model, (ii) designs a collaborative medical knowledge service system framework, (iii) develops this proposed system, and (iv) evaluates the developed system based on user satisfaction.

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Thomson, Alan J., and Al Mitchell. "Collaborative knowledge management for long-term research sites." Forestry Chronicle 75, no. 3 (June 1, 1999): 491–96. http://dx.doi.org/10.5558/tfc75491-3.

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Collaboration is a feature of all stages in the development and implementation of long-term research sites, and has traditionally occurred through the medium of face-to-face meetings. However, the recent development of Groupware software products permits collaboration and knowledge management over the Internet. A range of World Wide Web-based systems currently in operational use at the Pacific Forestry Centre are reviewed in terms of their capacity for knowledge management and their ability to facilitate collaboration. The manner in which the systems integrate World Wide Web and database technologies is described. We present a description of a prototype knowledge management system to facilitate dynamic, web-based collaborative construction of concept graphs and relationships. These will help researchers reach consensus on concepts and assumptions, make differences explicit to facilitate experimental resolution, and elicit knowledge from researchers external to the project. Key words: World Wide Web, java applets, perl, database

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Reade, Ian, and Wendy Rodgers. "A Collaboration Model for Knowledge Transfer from Sport Science to High Performance Canadian Interuniversity Coaches." Journal of Coaching Education 2, no. 1 (October 2009): 99–122. http://dx.doi.org/10.1123/jce.2.1.99.

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This study examined the extent to which improved collaboration between sport scientists and coaches of high performance athletes might improve knowledge transfer in sport. The research includes a review of the extant literature on collaboration to develop a model of successful collaborative practice. The model is then empirically tested to determine whether such a model can improve our knowledge of the mechanisms for effective knowledge transfer in sport. To accomplish our purpose, we interviewed 38 high performance coaches employed in a variety of university settings and from a variety of sports to determine the factors that inhibit and facilitate, knowledge transfer. The model was used to guide the data analysis. The results showed that 14 of the coaches interviewed were involved in collaborative relationships with sport scientists and the factors in the model did help to explain why some coaches collaborate while other coaches may not. Factors such as different types of motivation, the personal characteristics of the coach and the structural characteristics within which the coach operates seemed to influence the extent of the collaboration between the sport scientist and the coach and ultimately the effective transfer of sport science knowledge. Sport organizations can apply these findings to improve the effectiveness of knowledge transfer to coaches of high performance athletes.

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An, Xiaomi, Hepu Deng, Lemen Chao, and Wenlin Bai. "Knowledge management in supporting collaborative innovation community capacity building." Journal of Knowledge Management 18, no. 3 (May 6, 2014): 574–90. http://dx.doi.org/10.1108/jkm-10-2013-0413.

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Purpose – This paper aims to investigate the role of knowledge management in collaborative innovation and identifies the knowledge management approaches for supporting collaborative innovation community capacity building (CICCB) in organizations. The importance of collaborative innovation in developing organizational competitiveness is increasingly being recognized in both theory and practice worldwide. Collaborative innovation, however, is still under-explored from the trans-disciplinary perspective of knowledge management and community capacity building. Design/methodology/approach – A comprehensive review of the related literature in collaborative innovation and knowledge management is conducted. Three demands for CICCB, including trust building for enhancing the effectiveness, sustainability building for improving the efficiency and extensibility building for developing the competitiveness in organizations, are identified, which paves the way for the development of a holistic approach to effective CICCB. Findings – Three roles of knowledge management in supporting CICCB are identified, including the reformation of knowledge management for convergence in collaboration, the remediation of knowledge activities for synergy in communication and the reconfiguration of knowledge artifacts for the integration of knowledge management activities in connectivity. A holistic approach is proposed for effective CICCB in organizations, including the multi-dimensional convergence for trust building in collaboration, the multi-directional synergy for sustainability building in communication and the multi-layer integration for extensibility building in connectivity. Research limitations/implications – Insights about how organizations can better support CICCB through effective knowledge management for improving their competitiveness are provided based on the identification of the demand for CICCB and the role of knowledge management in collaborative innovation. The development of a holistic approach to effective CICCB can help organizations better utilize their limited resources for developing their competitiveness in today’s dynamic environment. Originality/value – This paper is the first step of a comprehensive study on the role of knowledge management in supporting CICCB in organizations in today’s dynamic environment. It provides a solid foundation for the investigation of the models, approaches and mechanisms for effective CICCB through knowledge management in organizations.

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Julpisit, Attipa, and Vatcharaporn Esichaikul. "A collaborative system to improve knowledge sharing in scientific research projects." Information Development 35, no. 4 (May 20, 2018): 624–38. http://dx.doi.org/10.1177/0266666918779240.

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As knowledge sharing is important for every sector, it should be encouraged among team members. Particularly, scientific research projects usually involve knowledge-intensive teams that require members to share various knowledge forms while working together. Although several collaborative systems exist on different platforms, the system features required to improve knowledge sharing between researchers are insufficient. A collaborative system, the Research Collaboration System, designed and developed based on identified collaborative activities and the SECI model, is evaluated by two scientific research projects. Preliminary results show that this system could serve all major research activities of scientific research projects and enhance knowledge sharing.

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Journal articles on the topic 'Collaborative knowledge'

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