Journal articles on the topic 'Collaborative structure'
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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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Bietti, Lucas M., and Michael J. Baker. "Collaborating to remember collaborative design: An exploratory study." Memory Studies 11, no. 2 (December 20, 2016): 225–44. http://dx.doi.org/10.1177/1750698016683438.
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We examine the ways in which members of a small group coordinate their memories, bodies and language in a functional and goal-oriented manner when they are co-designing their dream house and then collaborative remembering that previous interactive encounter. Our analyses show the following: (1) participants structured collaborative design and collaborative remembering sessions in different ways (e.g. linear and sequential vs iterative and hierarchically structured, respectively); (2) higher degrees of knowledge building were temporally synchronized with higher degrees of interactivity during both tasks; (3) collaborative remembering did not only follow the spatial structure of successive elements of the dream-house design session, but it was also proceeded by associations between semantic elements of the discourse; and (4) participants collaboratively remember better what initially generated most joint activity during collaborative design. This research thus contributes to understanding of collaborative remembering processes with respect to a knowledge-rich collaborative task.
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ISHAQ, WAQAR, ELIYA BUYUKKAYA, MUSHTAQ ALI, and ZAKIR KHAN. "VCC-BPS: Vertical Collaborative Clustering using Bit Plane Slicing." PLOS ONE 16, no. 1 (January 11, 2021): e0244691. http://dx.doi.org/10.1371/journal.pone.0244691.
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The vertical collaborative clustering aims to unravel the hidden structure of data (similarity) among different sites, which will help data owners to make a smart decision without sharing actual data. For example, various hospitals located in different regions want to investigate the structure of common disease among people of different populations to identify latent causes without sharing actual data with other hospitals. Similarly, a chain of regional educational institutions wants to evaluate their students’ performance belonging to different regions based on common latent constructs. The available methods used for finding hidden structures are complicated and biased to perform collaboration in measuring similarity among multiple sites. This study proposes vertical collaborative clustering using a bit plane slicing approach (VCC-BPS), which is simple and unique with improved accuracy, manages collaboration among various data sites. The VCC-BPS transforms data from input space to code space, capturing maximum similarity locally and collaboratively at a particular bit plane. The findings of this study highlight the significance of those particular bits which fit the model in correctly classifying class labels locally and collaboratively. Thenceforth, the data owner appraises local and collaborative results to reach a better decision. The VCC-BPS is validated by Geyser, Skin and Iris datasets and its results are compared with the composite dataset. It is found that the VCC-BPS outperforms existing solutions with improved accuracy in term of purity and Davies-Boulding index to manage collaboration among different data sites. It also performs data compression by representing a large number of observations with a small number of data symbols.
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GHASSANY, MOHAMAD, NISTOR GROZAVU, and YOUNES BENNANI. "COLLABORATIVE CLUSTERING USING PROTOTYPE-BASED TECHNIQUES." International Journal of Computational Intelligence and Applications 11, no. 03 (September 2012): 1250017. http://dx.doi.org/10.1142/s1469026812500174.
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The aim of collaborative clustering is to reveal the common structure of data distributed on different sites. In this paper, we present a formalism of topological collaborative clustering using prototype-based clustering techniques; in particular we formulate our approach using Kohonen's Self-Organizing Maps. Maps representing different sites could collaborate without recourse to the original data, preserving their privacy. We present two different approaches of collaborative clustering: horizontal and vertical. The strength of collaboration (confidence exchange) between each pair of datasets is determined by a parameter, we call coefficient of collaboration, to be estimated iteratively during the collaboration phase using a gradient-based optimization, for both the approaches. The proposed approaches have been validated on several datasets and experimental results have shown very promising performance.
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Chen,, Li, Tingjin Wang, and, and Zhijie Song. "A Web-based Product Structure Manager to Support Collaborative Assembly Modeling1." Journal of Computing and Information Science in Engineering 4, no. 1 (March 1, 2004): 67–78. http://dx.doi.org/10.1115/1.1666894.
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Collaborative CAD systems enabling collaboration in computer-aided design processes among distributed designers are gaining more and more attention. Yet, such systems, especially in support of collaborative assembly modeling, are hardly achievable. In an effort to bridge this gap, we are dedicated to developing a collaborative CAD system with aim at 3D assembly modeling. As part of this effort, this paper addresses one function module of the system, a Web-based Product Structure Manager, which enables the Collaborative Product Structure Management (CPSM) in collaborative assembly modeling. In particular, CPSM facilitates product data sharing among distributed designers and supports collaboration in product structure creation and modification. A bench clamp assembly is used as an example to illustrate the Product Structure Manager for supporting collaborative assembly modeling.
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Allen, Lai Yu-Hung. "Organizational Collaborative Capacities in Disaster Management: Evidence from the Taiwan Red Cross Organization." Asian Journal of Social Science 39, no. 4 (2011): 446–68. http://dx.doi.org/10.1163/156853111x597279.
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Abstract In the post disaster situation, relief organizations are expected to learn and adjust their capacity to collaborate with other major players such as nonprofit organizations, government agencies, and local workers. In other words, effective responses to disasters require capacity for collaboration on the part of emergency response agencies; however in disaster affected area, not every relief organization is equally capable of doing so. The capacity for organizations to collaborate with others in and after a disaster does not occur spontaneously or in a vacuum. Since organizational collaborative capacity is essential in disaster relief, it is imperative to present empirical evidence regarding organizational collaborative capacity. The purpose of this paper is to develop a working theory of what characteristics an emergency response organization needs in order to develop collaborative capacity. We analyze collaborative capacities by examining two events: the 2004 Asian Tsunami and the 2008 Wenchuan Earthquake. This piece argues that collaborative capacity, defined by purpose, structure communication and resources, is a requisite for collaboration in a post disaster situation. The implications for practitioners and scholars in post disaster society are discussed.
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Hafer, Joseph A. "Understanding the Emergence and Persistence of Mandated Collaboration: A Policy Feedback Perspective of the United States’s Model to Address Homelessness." American Review of Public Administration 48, no. 7 (September 12, 2017): 777–88. http://dx.doi.org/10.1177/0275074017729877.
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Collaboration is commonplace in contemporary public administration. In many instances, policy mandates collaboration between previously unconnected organizations for those organizations to obtain essential funding for public services, thus creating new administrative structures grounded in collaboration. There exists substantial research that focuses on the collaborative process and potential outcomes of these structures, yet their emergence and development is less understood. The Housing and Urban Development (HUD) continuum of care (CoC) model is one such collaborative structure that has been the dominant administrative service delivery system used to address homelessness in the United States since the early 1990s. A historical analysis reveals that policy feedback effects help explain the emergence and persistence of the CoC model from before its origin to its eventual codification in the Homeless Emergency Assistance and Rapid Transition to Housing (HEARTH) Act of 2009. A policy feedback perspective of the CoC model demonstrates how the interplay of policy, politics, and administration led to a mandate to collaborate to address a large-scale social problem.
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Kay, Robert, and Laurel Dyson. "Learning to Collaborate and Collaborating to Learn: An Experiential Approach to Teaching Collaborative Systems." Journal of Theoretical and Applied Electronic Commerce Research 1, no. 2 (August 1, 2006): 36–44. http://dx.doi.org/10.3390/jtaer1020011.
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This paper describes the use of experiential learning theory in the development of an undergraduate subject in collaborative systems. The purpose of the subject was to introduce students to the design, development and use of collaborative systems in organizational environments. Early in the subject’s development it was decided that in order for students to gain a deeper understanding of the issues involved in the development of collaborative systems, they should collaborate using an e-learning system so that they could experience these problems first hand. The paper provides an overview of the subject structure, the views of students with regard to the learning approach and some of the outcomes that were observed. The findings revealed that the experiential approach was successful in providing students with a good understanding of the issues associated with the design and use of collaborative systems. However, while many achieved deeper learning outcomes than would normally be provided by a traditional didactic approach, there were students who failed to achieve the desired learning levels. The findings not only provide support for Perry’s model of intellectual development and the value of setting unstructured problems, but also demonstrate the need for structure in early experiential events to which students are exposed.
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Su, Ying Ying, and Feng Rong Zhang. "Implementation of Collaborative Process Planning System." Advanced Materials Research 1006-1007 (August 2014): 373–76. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.373.
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To ensure competitiveness in today’s market, process planning should be collaboratively performed in manufacturing enterprises. Since process planning is a huge and complex job, several designers should process planning together. Designers consult with one another regarding the results through continuous communication and collaboration. In this research, key technologies are studied according to requirements analysis on collaborative process planning system. The flow is described based on the characters of collaborative process planning. The structure of this system is built and the system is implemented to save the cost and improve the reliability of process planning.
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Hayat, Tsahi, and Kelly Lyons. "A typology of collaborative research networks." Online Information Review 41, no. 2 (April 10, 2017): 155–70. http://dx.doi.org/10.1108/oir-11-2015-0368.
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Purpose Many studies have investigated how the structure of the collaborative networks of researchers influences the nature of their work, and its outcome. Co-authorship networks (CANs) have been widely looked at as proxies that can help bring understanding to the structure of research collaborative ties. The purpose of this paper is to provide a framework for describing what influences the formation of different research collaboration patterns. Design/methodology/approach The authors use social network analysis (SNA) to analyze the co-authorship ego networks of the ten most central authors in 24 years of papers (703 papers and 1,118 authors) published in the Proceedings of CASCON, a computer science conference. In order to understand what lead to the formation of the different CANs the authors examined, the authors conducted semi-structured interviews with these authors. Findings Based on this examination, the authors propose a typology that differentiates three styles of co-authorship: matchmaking, brokerage, and teamwork. The authors also provide quantitative SNA-based measures that can help place researchers’ CAN into one of these proposed categories. Given that many different network measures can describe the collaborative network structure of researchers, the authors believe it is important to identify specific network structures that would be meaningful when studying research collaboration. The proposed typology can offer guidance in choosing the appropriate measures for studying research collaboration. Originality/value The results presented in this paper highlight the value of combining SNA analysis with interviews when studying CAN. Moreover, the results show how co-authorship styles can be used to understand the mechanisms leading to the formation of collaborative ties among researchers. The authors discuss several potential implications of these findings for the study of research collaborations.
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Parreira, Micael Rosa, Philip Teles Soares, and João Carlos Nabout. "Spatial Structure of National and International Scientific Collaboration in the Brazilian Cerrado Research." Fronteiras: Journal of Social, Technological and Environmental Science 11, no. 2 (August 2, 2022): 83–95. http://dx.doi.org/10.21664/2238-8869.2022v11i2.p83-95.
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The number of authors in papers has increased over the years, indicating collaborative trends in Science and Technology. Besides, scientific collaboration is structured at different spatial scales, for example, within or between institutions in the same country or among countries. Here, we evaluate the scientific collaboration patterns at national and international levels in the Cerrado research. We searched all papers about the Cerrado published between 1945 and 2017 in the Web of Science database. We performed network analyses using pairwise distance matrices to create national and international collaboration networks. We also used spatial correlograms to test the effect of geographic distance on scientific collaboration. The number of papers increased over the years (rs = 0.96), where papers with 3-5 authors had the highest growth rate (rs = 0.96). Moreover, authors from geographically closer institutions tend to collaborate more at the national level, while we found no geographic effect on international collaboration. These results show that Brazilian scientists studying the Cerrado have collaborated more over the years regardless of distance, although locally, scientists are still more likely to work with scientists of close institutions within the biome. This collaboration tendency may be associated with the need in science to deal with more complex and multidisciplinary issues, where collaborative studies promote a greater scientific and social impact.
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Hwang, Sangheum, Jiho Yoo, Chanhee Lee, and Sang Hyun Lee. "Collaborative crystal structure prediction." Expert Systems with Applications 63 (November 2016): 222–30. http://dx.doi.org/10.1016/j.eswa.2016.07.001.
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Nouri, Jalal, Teresa Cerratto-Pargman, Johan Eliasson, and Robert Ramberg. "Exploring the Challenges of Supporting Collaborative Mobile Learning." International Journal of Mobile and Blended Learning 3, no. 4 (October 2011): 54–69. http://dx.doi.org/10.4018/jmbl.2011100104.
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Mobile technology opens up opportunities for collaborative learning in otherwise remote contexts outside the classroom. A successful realization of these opportunities relies, however, on mobile learning activities providing adequate collaboration structures. This article presents an empirical study aimed at examining the role played by mobile devices, teachers and task structures as a means for collaborative learning in geometry. The study focused on the analysis of the nature of collaboration that unfolded when students measured areas outdoors in the field. The analysis of the mobile learning activity was conducted from an Activity theory perspective. The findings obtained indicate that the collaboration observed may be impaired if: 1) the functionalities needed for collaborative problem-solving are asymmetrically distributed on a number of mobile devices; 2) task-related information is not accessible to all learners; 3) the task structure is not sufficiently complex; 4) teacher scaffolding is too readily available; and 5) necessary collaborative skills are not developed.
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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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Kwasnicki, RM, LD Cato, L. Geoghegan, G. Stanley, J. Pancholi, A. Jain, and MD Gardiner. "Supportive technology in collaborative research: proposing the STiCR framework." Annals of The Royal College of Surgeons of England 102, no. 1 (January 2020): 3–8. http://dx.doi.org/10.1308/rcsann.2019.0157.
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Introduction Achieving a standard of clinical research at the pinnacle of the evidence pyramid is historically expensive and logistically challenging. Research collaboratives have delivered high-impact prospective multicentre audits and clinical trials by using trainee networks with a range of enabling technology. This review outlines such use of technology in the UK and provides a framework of recommended technologies for future studies. Methods A review of the literature identified technology used in collaborative projects. Additional technologies were identified through web searches. Technologies were grouped into themes including access (networking and engagement), collaboration and event organisation. The technologies available to support each theme were studied further to outline relative benefits and limitations. Findings Thirty-three articles from trainee research collaboratives were identified. The most frequently documented technologies were social media applications, website platforms and research databases. The Supportive Technologies in Collaborative Research framework is proposed, providing a structure for using the technologies available to support multicentre collaboration. Such technologies are often overlooked in the literature by established and start-up collaborative project groups. If used correctly, they might help to overcome the physical, logistical and financial barriers of multicentre clinical trials.
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Suike, Li, Bai Sijun, Wang Xubo, and Guo Yuntao. "Remote Collaboration and Simulation Model for Weapons Development Based on Logistic." Open Mechanical Engineering Journal 8, no. 1 (March 21, 2014): 53–57. http://dx.doi.org/10.2174/1874155x01408010053.
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The Logistic model and simulation algorithms in the ecological species were introduced to analyze the remote collaborative structure of weapons model development and the equilibrium and stability condition of its mode. The weapons development remote collaborative structure was designed, and two collaborative logistic models of the model development was built as “O—A” and “A—A”. The stability conditions of two modes were calculated and policy implications were analyzed, dynamic evolution of the collaborative model was simulated by numerical simulation. Simulation results show that the stability of weapons development remote collaborative are closely related to research unit in collaboration with status, intrinsic growth rate, initial size and the maximum amount of output. The policy recommendations were given out for the weapons development units in remote collaboration with two types of collaborative mode under stable conditions.
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Varda, Danielle M., and Jessica H. Retrum. "An exploratory analysis of network characteristics and quality of interactions among public health collaboratives." Journal of Public Health Research 1, no. 2 (June 26, 2012): 27. http://dx.doi.org/10.4081/jphr.2012.e27.
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While the benefits of collaboration have become widely accepted and the practice of collaboration is growing within the public health system, a paucity of research exists that examines factors and mechanisms related to effective collaboration between public health and their partner organizations. The purpose of this paper is to address this gap by exploring the structural and organizational characteristics of public health collaboratives. Design and Methods. Using both social network analysis and traditional statistical methods, we conduct an exploratory secondary data analysis of 11 public health collaboratives chosen from across the United States. All collaboratives are part of the PARTNER (www.partnertool.net) database. We analyze data to identify relational patterns by exploring the structure (the way that organizations connect and exchange relationships), in relation to perceptions of value and trust, explanations for varying reports of success, and factors related to outcomes. We describe the characteristics of the collaboratives, types of resource contributions, outcomes of the collaboratives, perceptions of success, and reasons for success. We found high variation and significant differences within and between these collaboratives including perceptions of success. There were significant relationships among various factors such as resource contributions, reasons cited for success, and trust and value perceived by organizations. We find that although the unique structure of each collaborative makes it challenging to identify a specific set of factors to determine when a collaborative will be successful, the organizational characteristics and interorganizational dynamics do appear to impact outcomes. We recommend a quality improvement process that suggests matching assessment to goals and developing action steps for performance improvement.
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Liu, Cong, Hui Zeng, and Jiming Cao. "Evolution of Project-Based Collaborative Networks for Implementing Prefabricated Construction Technology: Case Study in Shanghai." Buildings 14, no. 4 (March 28, 2024): 925. http://dx.doi.org/10.3390/buildings14040925.
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Prefabricated construction (PC) is considered to be a low-carbon construction method. Implementing prefabricated construction projects (PCPs) requires multiple industry organizations to participate and collaborate. As different PCPs are initiated and implemented, industry organizations will gradually gather into a complex and evolving collaborative network at the industry level based on specific collaboration relationships with different project backgrounds. The evolution of the collaborative network is related to how industry organizations interact with each other, and how PC-related knowledge and innovation has spread among organizations in the long term. However, the laws of network evolution and the micro effects that drive network evolution are still unknown. This study analyzes 236 prefabricated construction projects (PCPs) in Shanghai during 2015–2023, using the stochastic actor-oriented models (SAOM) method to explore how the macro structure of project-based inter-organizational collaborative networks for prefabricated construction (PC) technology implementation evolves over time, and how micro effects jointly support the evolution of the networks. The macro-level descriptive analysis of the network indicates that the collaborative network has become increasingly dense over time and continues to show a core–peripheral structure, with a small number of super-connected organizations. The micro-level SAOM analysis further reveals that the evolution of the collaborative network structure is driven by structure-based preferential attachment and geographic proximity effects, as well as attribute-based ownership similarity effect. This exploratory effort applies a network dynamics model to investigate the micro mechanism of the evolution of inter-organizational collaboration. The research results provide theoretical guidance and decision-making references for PC industry organizations to develop efficient network action strategies. In addition, it can help industry managers to formulate appropriate network management strategies.
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Wang, Kai, Zhongkai Xiong, Yu Xiong, and Wei Yan. "Remanufacturer–Manufacturer Collaboration in a Supply Chain: The Manufacturer Plays the Leader Role." Asia-Pacific Journal of Operational Research 32, no. 05 (October 2015): 1550040. http://dx.doi.org/10.1142/s0217595915500402.
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This paper adds to the growing remanufacturing literature by investigating a collaborative model in which the manufacturer serves as the remanufacturer's distributor while selling its own product. The paper extends the collaborative model that we have studied previously by characterizing it as a channel power structure under which the manufacturer plays the leader role in the collaboration. Furthermore, the paper compares this collaborative model with a competitive model in which the manufacturer competes with the remanufacturer in the market on pricing, sales volume and profit and finds that even if the manufacturer chooses to collaborate with the remanufacturer, it does not give up its market position; the manufacturer keeps the price of its product unchanged as the remanufactured product becomes increasingly acceptable to the consumer, and its product's sales volume remains unchanged in both models. Finally, this paper observes that the collaborative model benefits the manufacturer more than the competitive model, whereas the competitive model benefits the remanufacturer more than the collaborative model. Obviously, if collaboration benefits both of the manufacturer and remanufacturer, they will choose to collaborate, and the manufacturer will transfer part of its profit to the remanufacturer, but if competition brings them more profit, they will choose to compete in the market, and the remanufacturer will transfer part of its profit to the manufacturer.
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Lee, Junhyeok, Dongkeun Lee, Seowon Han, Hyun K. Kim, and Kang Hoon Lee. "Automatic Control of Virtual Cameras for Capturing and Sharing User Focus and Interaction in Collaborative Virtual Reality." Symmetry 16, no. 2 (February 13, 2024): 228. http://dx.doi.org/10.3390/sym16020228.
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As VR technology advances and network speeds rise, social VR platforms are gaining traction. These platforms enable multiple users to socialize and collaborate within a shared virtual environment using avatars. Virtual reality, with its ability to augment visual information, offers distinct advantages for collaboration over traditional methods. Prior research has shown that merely sharing another person’s viewpoint can significantly boost collaborative efficiency. This paper presents an innovative non-verbal communication technique designed to enhance the sharing of visual information. By employing virtual cameras, our method captures where participants are focusing and what they are interacting with, then displays these data above their avatars. The direction of the virtual camera is automatically controlled by considering the user’s gaze direction, the position of the object the user is interacting with, and the positions of other objects around that object. The automatic adjustment of these virtual cameras and the display of captured images are symmetrically conducted for all participants engaged in the virtual environment. This approach is especially beneficial in collaborative settings, where multiple users work together on a shared structure of multiple objects. We validated the effectiveness of our proposed technique through an experiment with 20 participants tasked with collaboratively building structures using block assembly.
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Hathorn, Lesley G., and Albert L. Ingram. "Cooperation and Collaboration Using Computer-Mediated Communication." Journal of Educational Computing Research 26, no. 3 (April 2002): 325–47. http://dx.doi.org/10.2190/7mkh-qvvn-g4cq-xrdu.
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This study operationally defined and measured collaboration and compared the products and structure of collaborative groups that used computer-mediated communication. Key characteristics of collaboration selected from the literature were interdependence, synthesis, and independence, and a model for evaluating these characteristics was developed. All communication in this study occurred via asynchronous computer-mediated communication, using a threaded Web discussion. Participants in the study were graduate students, studying the same course with the same instructor at two venues. The students were divided into small groups from one or both venues, and four of these groups were studied. All students were given a problem to solve involving the cost-benefit trade-offs of distance education. The groups received different instructions. Two of them were told to collaborate on a solution, and the other two were told to select a role and discuss the problem from that point of view. Groups that were instructed to collaborate were more collaborative, but they produced a solution of a lower quality than the other groups. No conclusions could be drawn from the results on the structure of the groups. The role of collaboration in problem solving is discussed along with methods for creating more effective collaboration.
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Fisher, Mercedes, Gregory S. Thompson, and David A. Silverberg. "Effective Group Dynamics in E-Learning: Case Study." Journal of Educational Technology Systems 33, no. 3 (March 2005): 205–22. http://dx.doi.org/10.2190/ytj7-plqb-vndv-71uu.
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Investigating the participant structure that works in online courses helps us design for, and facilitate, collaboration. Learning communities and group work influence collaboration in online courses. We present an exploratory study of computer-mediated groups that used this model to participate in an online MA program in Educational Technology. These participants were organized into groups and collaboratively built knowledge through synchronous and asynchronous online dialogue while leveraging technology as a tool for individual and collaborative learning. We present a detailed case study collected over a two-year span to identify design ideas, structures, and perceptions of effective collaboration and performance. Group formation, support, and sustainability are also explored. Examples are included that not only describe what participants saw as enabling aspects of the structure but also ways in which novice instructors can enhance curriculum development around readings and online discussion. These findings indicate a high index of collaboration and completion compared to homogenous classes where students work on their own.
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Soda, Giuseppe, Diego Stea, and Torben Pedersen. "Network Structure, Collaborative Context, and Individual Creativity." Journal of Management 45, no. 4 (August 9, 2017): 1739–65. http://dx.doi.org/10.1177/0149206317724509.
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The debate on whether bonding or bridging ties are more beneficial for acquiring knowledge that is conducive to individual creativity has mostly overlooked the context in which such ties are formed. We challenge the widespread assumption that closed, heavily bonded networks imply a collaborative attitude on the part of the embedded actors and propose that the level of collaboration in a network can be independent from that network’s structural characteristics, such that it moderates the effects of closed and brokering network positions on the acquisition of knowledge that supports creativity. Individuals embedded in closed networks acquire more knowledge and become more creative when the level of collaboration in their network is high. Brokers who arbitrage information across disconnected contacts acquire more knowledge and become more creative when collaboration is low. An analysis of employee-level, single-firm data supports these ideas.
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Zhang, Xueshen, Qiulan Wu, Feng Zhang, Xiang Sun, Huarui Wu, Shumin Wu, and Xuefei Chen. "A Novel Standardized Collaborative Online Model for Processing and Analyzing Remotely Sensed Images in Geographic Problems." Electronics 12, no. 21 (October 24, 2023): 4394. http://dx.doi.org/10.3390/electronics12214394.
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In recent years, remote sensing image processing technology has developed rapidly, and the variety of remote sensing images has increased. Solving a geographic problem often requires multiple remote sensing images to be used together. For an image processing analyst, it is difficult to become proficient in the image processing of multiple types of remote sensing images. Therefore, it is necessary to have multiple image processing analysts collaborate to solve geographic problems. However, as a result of the naturally large volumes of data and the computer resources they consume for analysis, remote sensing images present a barrier in the collaboration of multidisciplinary remote sensing undertakings and analysts. As a result, during the development of the collaborative analysis process, it is necessary to achieve the online processing and analysis of remote sensing images, as well as to standardize the online remote sensing image collaborative analysis process. To address the above issues, a hierarchical collaborative online processing and analysis framework was developed in this paper. This framework defined a clear collaborative analysis structure, and it identifies what kinds of online image processing and analysis activities participants can engage in to successfully conduct collaborative processes. In addition, a collaborative process construction model and an online remote sensing image processing analysis model were developed to assist participants in creating a standard collaborative online image processing and analysis process. In order to demonstrate the feasibility and effectiveness of the framework and model, this paper developed a collaborative online post-disaster assessment process that utilizes radar images and optical remote sensing images for a real forest fire event. This process was based on the BPMN2.0 and OGC dual standards. Based on the results, the proposed framework provides a hierarchical collaborative remote sensing image processing and analysis process with well-defined stages and activities to guide the participants’ mutual collaboration. Additionally, the proposed model can help participants to develop a standardized collaborative online image processing process in terms of process structure and information interactions.
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Scherbakova, N. G., and S. V. Bredikhin. "Co-authorship network structure analysis." Journal of Physics: Conference Series 2099, no. 1 (November 1, 2021): 012055. http://dx.doi.org/10.1088/1742-6596/2099/1/012055.
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Abstract The analysis of networks of collaboration between scientists reveals features of academic communities that help in understanding the specifics of collaborative scientific work and identifying the notable researchers. In these networks, the set of nodes consists of authors and there exists a link between two authors if they have coauthored one or more papers. This article presents an analysis of the co-authorship network based on bibliometric data retrieved from the distributed economic database. Here we use the simple network model without taking into account the strength of collaborative ties. The data were analyzed using statistical techniques in order to get such parameters as the number of papers per author, the number of authors per paper, the average number of coauthors per author and collaboration indices. We show that the largest component occupies near 90 % of the network and the node degree distribution follows a power-law. The study of typical distances between nodes and the degree of clustering makes it possible to classify the network as a ‘small world’ network.
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Cameron, Julie. "Governance structure, mechanisms and methods for managing collaborative eBusiness projects." Journal on Chain and Network Science 6, no. 2 (December 1, 2006): 155–74. http://dx.doi.org/10.3920/jcns2006.x072.
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Increasingly ebusiness projects are undertaken by collaborations. Many collaborative ebusiness projects fail to achieve their stated objectives due partly to inadequate project management. Additional management functions result from the lack of central authority and the characteristics of the three levels involved in these projects: the participating organizations that voluntarily collaborate (a form of virtual organization) to achieve agreed ebusiness objectives; the project teams (normally operating as "virtual" teams); and representatives from participating organizations. Because management functions change during the three stages of the "Collaborative Project Management Lifecycle"©®, it is proposed that the governance structure, mechanisms and methods adopted also need to change to effectively coordinate participating organizations and manage project activities. This proposal is evaluated using case studies of five Australian ebusiness collaborative projects. The paper contributes to practice by comparing various governance structures, mechanisms and methods and discussing the implications from a management perspective. The results are used to suggest governance structures, mechanisms and methods appropriate to key attributes of collaborative ebusiness projects. The paper synthesizes and builds on existing research related to collaborations, project management, virtual organizations and virtual teams, and then applies these findings to a real world environment.
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Molinengo, Giulia, and Dorota Stasiak. "Scripting, Situating, and Supervising: The Role of Artefacts in Collaborative Practices." Sustainability 12, no. 16 (August 9, 2020): 6407. http://dx.doi.org/10.3390/su12166407.
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While calls for cross-sectoral collaboration have become a recurrent motif in sustainability-oriented policymaking and research, the practical realization of such processes presents significant challenges. The hope for “collaborative advantage” often gets traded for the experience of “collaborative impasse”, namely those moments in which collaboration gets stuck. To better understand the reasons underlying such impasses, the study focuses on the impact of facilitation artefacts—objects designed and used in collaborative practices. The study proposes an analytical heuristic of collaborative practices to investigate the data collected in an explorative study, tracing artefacts across three different communicative modes of deliberation. Detailed analysis of the case, grounded in audio–visual material, semi-structured interviews, photo documentation, and participatory observation, shows that such artefacts substantially influence the structure of the emerging interaction order in a given setting, and that unscripted and unsituated artefacts might contribute to reinforcing those communicative patterns that collaboration aims to contrast. The study identifies three relevant practices in facilitation work, in order to steer emerging interaction orders away from exclusionary dynamics: scripting, situating, and supervising. Although emerging from the micro-analysis of artefacts, these practices might apply to other spheres of collaboration and serve as orientation for successful collaborative processes.
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Rastin, Parisa, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, and Younès Bennani. "Impact of Learners’ Quality and Diversity in Collaborative Clustering." Journal of Artificial Intelligence and Soft Computing Research 9, no. 2 (April 1, 2019): 149–65. http://dx.doi.org/10.2478/jaiscr-2018-0030.
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Abstract Collaborative Clustering is a data mining task the aim of which is to use several clustering algorithms to analyze different aspects of the same data. The aim of collaborative clustering is to reveal the common underlying structure of data spread across multiple data sites by applying clustering techniques. The idea of collaborative clustering is that each collaborator shares some information about the segmentation (structure) of its local data and improve its own clustering with the information provided by the other learners. This paper analyses the impact of the quality and the diversity of the potential learners to the quality of the collaboration for topological collaborative clustering algorithms based on the learning of a Self-Organizing Map (SOM). Experimental analysis on real data-sets showed that the diversity between learners impact the quality of the collaboration. We also showed that some internal indexes of quality are a good estimator of the increase of quality due to the collaboration.
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Wang, Donna. "The development and administration of collaborative social work programs: challenges and opportunities." On the Horizon 23, no. 1 (February 9, 2015): 46–57. http://dx.doi.org/10.1108/oth-08-2014-0028.
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Purpose – The purpose of this exploratory research was to document the history, structure and administration of current collaboratives, as well as overall challenges and benefits. Little is known about how and why collaborative graduate social work programs were started, how they operate or what are the challenges and benefits. Design/methodology/approach – Six case studies were conducted through semi-structured interviews of a purposive sample of key personnel from collaborative programs. Findings – Findings revealed that each collaborative program grew from existing undergraduate social work programs. Key primary benefits include that collaborative programs provide service to regions that would otherwise not have access to graduate social work education and added diversity and depth to programs. Greatest challenges are day-to-day operationalization and the cohesiveness to be “one program” among faculty and students. Practical implications – Suggestions are provided to programs interested in developing a collaborative program. Originality/value – Because such little is known about collaborative programs, it is hoped that this article offers insight and issues to consider when beginning and administering collaborative social work programs.
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Huang, Yuan, Weixi Han, and Douglas K. Macbeth. "The complexity of collaboration in supply chain networks." Supply Chain Management: An International Journal 25, no. 3 (January 8, 2020): 393–410. http://dx.doi.org/10.1108/scm-11-2018-0382.
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Purpose This paper aims to investigate the complexity of collaborations in supply chain networks, particularly the influence of horizontal collaborations (e.g. international joint ventures) on vertical collaborations (e.g. supplier–manufacturer partnering relationships). Design/methodology/approach A multiple case study including four horizontal collaborations and five vertical collaborations within a supply chain network is presented in the context of the Chinese automotive industry. Data interpretation from interviews is structured by key collaborative activities and collaborative behaviors. Findings The analysis highlights a variety of collaborative behaviors under different types of collaboration and their interaction. The complexity of collaboration is revealed in a range of dimensions including culture diversity, drivers/facilitators, competitive/collaborative advantages and the engagement of all. Collaboration evolves as the structure of the supply chain changes; the key is to appreciate the existence of cooperation, competition and culture conflicts and to manage the trade-offs. Research limitations/implications A window of opportunity is presented for future research to investigate the complexity of supply chain collaboration in a wider industrial or geographical context, including statistical validation and comparative analysis. Practical implications A contingent view on supply chain collaboration is promoted to practitioners (e.g. international supply chain managers), where collaborative activities should be aligned with the motive and type of business relationships which may change as collaboration develops. Originality/value A rare empirical study captures the complexity of supply chain collaboration including the interaction between different forms. A dynamic collaboration approach recognizes the changing process, varying cooperation behaviors as well as characteristics of partners which have not been sufficiently reflected in the literature.
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Jones, Tonisha. "Perceptions of the Benefits and Barriers to Anti-Human Trafficking Interagency Collaboration: An Exploratory Factor Analysis Study." Societies 13, no. 2 (February 7, 2023): 38. http://dx.doi.org/10.3390/soc13020038.
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To effectively address human trafficking, it is increasingly recognized that anti-human trafficking efforts need to include a collaborative approach between agencies most likely to come into contact with human trafficking victims and offenders. While literature is available that discusses the benefits and barriers to such collaboration, there is limited empirical research on the topic. Surveying professionals engaged in anti-human trafficking interagency collaboration in a Midwest state in the United States, this exploratory factor analysis study explores their perceptions of the benefits and barriers to such collaboration. Based on the results, professionals’ perceived benefits and barriers to anti-human trafficking interagency collaboration, with capacity perceived as the underlying benefit and collaborative uncertainty, agency incongruence, an unfavorable collaborative environment, and inadequate problem framing perceived as the underlying barriers. These findings can inform anti-human trafficking interagency collaborative practice, leading to more successful collaborative outcomes. Future research should include a confirmatory factor analysis to validate the factor structure found in this study.
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Lopez-Campos, Monica, Salvatore Cannella, Pablo A. Miranda, and Raul Stegmaier. "Modeling the operation of synchronized supply chains under a collaborative structure." Academia Revista Latinoamericana de Administración 32, no. 2 (June 3, 2019): 203–24. http://dx.doi.org/10.1108/arla-04-2017-0090.
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Purpose The purpose of this paper is to propose and model collaboration and information exchange enabler strategies, designed to accomplish significant improvements in supply chain (SC) performance. Some of these improvements to the SC include the reduction of the bullwhip effect and increased customer and SC partner benefits. The authors propose a fully collaborative replenishment model. The study details the information flow required to implement new SC collaboration strategies, clarifying a specific strategy for information sharing involving inventory levels (on hand, in process, etc.), orders and demand forecast. Design/methodology/approach The authors suggest the adoption of business process modelling (BPM) methodology, aimed at identifying which information should be shared by SC partners, in order to create fully collaborative strategies. Findings The features of BPM allow for the effortless integration of the modelled information collaboration strategies into a general network information system, creating a flexible structure that can be quickly and even automatically adapted to new conditions. Research limitations/implications In this paper, a serial SC has been analysed, but enterprises also commonly manage more complex kind of chains. Chains composed of more than one member in the same echelon, divergent chains, convergent chains, network chains are all different configurations that require their own algorithm. The authors use the order up to policy, but there are other policies that can be considered to extend the scope of the model. Practical implications BPM, specifically through Unified Modelling Language (UML) and Business Process Modelling Notation standards, represents a suitable technique to develop and implement new SC collaboration practices, serving as a communication link between managers and software developers. Social implications The expected results of this work imply the proposal of a reference model for collaborative supply chain (CSC) organisations, contributing to the enhancement of value creation for the whole CSC. Originality/value The aim of this paper is to clarify the information-sharing algorithm required to implement a collaborative structure for an SC. This algorithm is expressed using the BPM technique, specifically UML and Business Process Model and Notation standards.
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Zou, Lei, and Xi Xi. "THE INFLUENCE OF FIRM KNOWLEDGE CHARACTERISTICS ON TECHNOLOGICAL INNOVATION: A MULTILEVEL NETWORK STRUCTURE PERSPECTIVE." EUrASEANs: journal on global socio-economic dynamics, no. 1(44) (January 11, 2024): 130–46. http://dx.doi.org/10.35678/2539-5645.1(44).2024.130-146.
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This study describes collaboration between firms and different organizations as a process of knowledge sharing, integrating inter-organizational collaboration networks and knowledge networks into a unified framework. It analyzes the bilayer structure of collaborative innovation networks, namely, the firm-knowledge bipartite network. The study investigates the impact of firm knowledge characteristics (diversity and uniqueness) on breakthrough and incremental innovation within collaborative innovation networks. The research employs patent data from Chinese A-share high-tech manufacturing companies listed from 2000 to 2018 and verifies the related hypotheses using a negative binomial regression model. The results suggest that, within collaborative innovation networks, firm knowledge diversity has a negative impact on breakthrough innovation but a positive impact on incremental innovation. On the other hand, firm knowledge uniqueness plays a positive role in breakthrough innovation but a negative role in incremental innovation. This study extends the understanding of firm technological innovation by considering both breakthrough and incremental innovation as distinct behaviors, providing a new perspective on the mechanisms underlying different innovation behaviors. By adopting a multilevel network structure approach to collaborative innovation, it contributes to a deeper understanding of internal and external factors influencing firm innovation behavior and expands the application scope of social network analysis.
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Hall, Barbara M. "Designing Collaborative Activities to Promote Understanding and Problem-Solving." International Journal of e-Collaboration 10, no. 2 (April 2014): 55–71. http://dx.doi.org/10.4018/ijec.2014040104.
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There are a vast number of studies that examine narrowly focused aspects of collaborative activities. However, rare is the research that synthesizes the findings of these studies and suggests an overall picture of well-designed collaborative activities. Toward this end, this manuscript discusses the characteristics of collaboration related to communication, structure, group composition, and grounding. The design of a collaborative activity should allow for certain types of conversations, feedback, and questions. The structure of a collaborative activity should consider tasks, scripts, and roles. Group size and ability grouping are flexible based on the analyses conducted at the beginning of the design process. The social space should afford grounding by not only allowing for social interaction, but also by stimulating such interaction.
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Rong, Shukun, Xiaohua Liu, and Chen Bai. "Innovative Research on Collaborative Design Mechanism of Cave Dwellings in Henan under Cloud Environment." Scientific Programming 2022 (May 24, 2022): 1–11. http://dx.doi.org/10.1155/2022/8665362.
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Collaborative design is an important link in building construction at present, while the communication and cooperation among disciplines need further regulation. In order to maintain the cost-effectiveness and design quality of building engineering in the competitive environment and obtain higher economic benefits, the design team must ensure the collaborative design quality of building engineering. Based on the analysis of collaboration theory and collaboration mechanism, a collaborative design platform for caves in Henan province is constructed under the current cloud environment. In addition, the requirements and nonfunctional requirements of the platform are analyzed, and the overall structure with each part is designed specifically, hoping to improve the quality of collaborative design effectively.
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Wang, David, and Isil Oygur. "A Heuristic Structure for Collaborative Design." Design Journal 13, no. 3 (November 2010): 355–71. http://dx.doi.org/10.2752/146069210x12766130825019.
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Ulibarri, Nicola, and Tyler A. Scott. "Linking Network Structure to Collaborative Governance." Journal of Public Administration Research and Theory 27, no. 1 (June 28, 2016): 163–81. http://dx.doi.org/10.1093/jopart/muw041.
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Stubblefield, William A. "Narrative structure in virtual collaborative environments." ACM SIGGROUP Bulletin 21, no. 1 (April 2000): 22–23. http://dx.doi.org/10.1145/377272.377288.
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Dobson, Deborah J. G., and Keith S. Dobson. "In-Session Structure and Collaborative Empiricism." Cognitive and Behavioral Practice 20, no. 4 (November 2013): 410–18. http://dx.doi.org/10.1016/j.cbpra.2012.11.002.
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Lin, Leping, Fang Liu, and Licheng Jiao. "Geometric structure guided collaborative compressed sensing." Signal Processing: Image Communication 40 (January 2016): 16–25. http://dx.doi.org/10.1016/j.image.2015.10.006.
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Iran, Samira, and Ulf Schrader. "Collaborative fashion consumption and its environmental effects." Journal of Fashion Marketing and Management: An International Journal 21, no. 4 (September 11, 2017): 468–82. http://dx.doi.org/10.1108/jfmm-09-2016-0086.
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Purpose The purpose of this paper is to provide the conceptual basis of collaborative fashion consumption (CFC) as a possible path toward more sustainable clothing. A definition and a typology of CFC are introduced and possible environmental effects of CFC are structured and discussed. This provides a solid conceptual basis for future empirical studies on CFC as an element of more sustainable consumption. Design/methodology/approach This paper is written mainly based on a review of the more recent literature on collaborative consumption, as well as of older papers about related concepts like sustainable service systems and eco-efficient services. The proposed CFC typology and the structure of environmental effects are developed using both a deductive and an inductive process, and then by transferring existing structures to this specific field and challenging them by assigning practical examples. Findings The main contributions of this paper are the definition and typology of CFC and the structure for assessing its environmental effects. Research limitations/implications The findings provide a conceptual basis for future empirical research on CFC. Practical implications For practitioners, the CFC typology and the structure of environmental effects could be used as checklists for future development of more sustainable collaborative consumption offers. Originality/value This paper makes a unique contribution to the concept of CFC. To the knowledge of the authors, this is the first paper that has been explicitly dedicated to examining different types and environmental effects of CFC.
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Pektaş, Şule Taşlı. "The Layered Dependency Structure Matrix for Managing Collaborative Design Processes." Open House International 39, no. 1 (March 1, 2014): 26–35. http://dx.doi.org/10.1108/ohi-01-2014-b0004.
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Effective collaboration and knowledge management are the major contributors of success in the construction industry. Although a huge amount of interdisciplinary knowledge is exchanged in building design processes, there is a lack of tools for representing information flows. Therefore, this paper focuses on the collaboration between architects and structural engineers and introduces an innovative matrix-based tool named “The Layered Dependency Structure Matrix” for modeling and managing the discipline-specific and collaborative design activities. The proposed method is compared with the conventional techniques used in the industry and its application is demonstrated in a beam design example.
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Rice, Rebecca M. "When hierarchy becomes collaborative." Corporate Communications: An International Journal 23, no. 4 (October 1, 2018): 599–613. http://dx.doi.org/10.1108/ccij-04-2017-0032.
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Purpose The purpose of this paper is to expand understandings of interorganizational collaboration among high reliability organizations (HROs). It proposes that HROs face unique needs for relationship building, pre-planning, and retrospective sensemaking that do not fit within prior models of collaboration. For HROs, definitions of collaboration vary contextually based on needs that arise during emergency situations. HROs have a need for both hierarchical structure and collaborative processes and use collaboration as a sensemaking frame that allows practitioners to attend to both needs. Design/methodology/approach The paper uses a case study from an ongoing ethnographic study of an emergency response collaboration. The paper uses open-ended interviews about collaboration with all key members of the incident response hierarchy, and participant observation of collaboration before, during and after a key emergency incident. Findings The paper proposes a new framework for HRO collaboration: that collaboration is a sensemaking frame for HROs used to make sense of individual actions, that HRO collaboration is more complex during pre-planning and focused on individual decision making during incidents, and that members can communicatively make sense of the need for hierarchy and collaborative action by defining these needs contextually. Research limitations/implications The paper uses an in-depth case study of an incident to explore this collaborative framework; therefore, researchers are encouraged to test this framework in additional high reliability collaborative contexts. Practical implications The paper includes implications for best communicative practices to recognize the need to be both hierarchical and flexible in high reliability organizing. Originality/value This paper fulfills a need to expand collaboration literature beyond idealized and egalitarian definitions, in order to understand how practitioners use communication to understand their actions as collaborative, especially in organizations that also require hierarchy and individual actions. This case study suggests that collaboration as a sensemaking frame creates collaborative advantages for HROs, but can also limit sensemaking about incident management.
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Nanda, Della Dwi, Ahmad Suprastiyo, and Junadi Junadi. "Collaborative Governance Dalam Pengembangan Pariwisata “Waduk Bendo” di Desa Bendo, Kecamatan Kapas, Kabupaten Bojonegoro." Reslaj : Religion Education Social Laa Roiba Journal 6, no. 3 (January 29, 2024): 2624–37. http://dx.doi.org/10.47467/reslaj.v6i3.6280.
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The concept of collaborative governance explains that basically the need to collaborate arises from the interdependent relationship between parties. The success of the tourism development process cannot be separated from the attachment between stakeholders. This research aims to describe how collaborative governance in the process of developing Bendo reservoir tourism. This research uses descriptive qualitative research methods and data collection techniques using field studies conducted directly to the research location through observation, interviews and documentation. This research uses the theory put forward (Ratner, 2012), namely: Identifying Obstacles and Opportunities, Debating Strategies For Influence, Planning Collaborative Action and refined with the success criteria (Goldsmith and Kettl, 2009: 135-136) of a collaboration in governance, namely Networked Structure, Commitment to a Common Purpose, Trust Among The Participants, Governance, Access to Authority, Distributive Accountability / Responsibility, Information Sharing, Access to Resources. The results showed that collaborative governance in the development of bendo reservoir tourism in bendo village, Kapas sub-district, Bojonegoro Regency has not run optimally. This can be seen from the success indicators that are not achieved, namely the absence of official written regulations that bind the collaboration process that is carried out, commitment in achieving goals that are not carried out by all stakeholders involved, limited human resources and lack of budget funds to build infrastructure.
Keywords: Collaborative Governance, Stakeholders, Tourism Development
ABSTRAK
Konsep collaborative governance menjelaskan bahwa pada dasarnya kebutuhan untuk berkolaborasi muncul dari adanya hubungan saling ketergantungan antar pihak. Keberhasilan proses pengembangan wisata tidak lepas dari adanya keterikatan antara stakeholders. Penelitian ini bertujuan untuk untuk mendeskripsikan bagaimana collaborative governance dalam proses pengembangan wisata waduk Bendo. Penelitian ini menggunakan metode penelitian kualitatif deskriptif danteknik pengumpulan data menggunakan studi lapangan yang dilakukan secara langsung terjun ke lokasi penelitian melalui observasi, wawancara dan dokumentasi. Penelitian ini menggunakan teori yang dikemukakan (Ratner,2012) yaitu : Identifying Obstacles and Opportunities, Debating Strategies For Influence, Planning Collaborative Action dan disempurnakan dengan kriteria keberhasilan(Goldsmith dan Kettl, 2009:135-136) sebuah kolaborasi dalam governance, yaitu Networked Structure, Commitment to a Common Purpose, Trust Among The Participants, Governance, Access to Authority, Distributive Accountability / Responsibility, Information Sharing, Access to Resourch.Hasil penelitian menunjukkan bahwa collaborative governance dalam pengembangan wisata waduk bendo di desa bendo Kecamatan Kapas Kabupaten Bojonegoro belum berjalan optimal. Hal ini dilihat dari indicator keberhasilan yang tidak tercapai yaitu tidak adanya peraturan tertulis resmi yang mengikat proses kolaborasi yang dijalankan, komitmen dalam mencapai tujuan yang tidak dilakukan oleh semua stakeholders yang terlibat, keterbatasan sumber daya manusia serta minimnya anggaran dana untuk membangun sarana prasarana.
Kata kunci : Collaborative Governance, Stakeholders, Pengembangan Wisata
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Alonso-Campuzano, Cristina, Giuseppe Iandolo, María Concetta Mazzeo, Noelia Sosa González, Michelle Jin Yee Neoh, Alessandro Carollo, Giulio Gabrieli, and Gianluca Esposito. "Children’s Online Collaborative Storytelling during 2020 COVID-19 Home Confinement." European Journal of Investigation in Health, Psychology and Education 11, no. 4 (December 10, 2021): 1619–34. http://dx.doi.org/10.3390/ejihpe11040115.
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Digital collaborative storytelling can be supported by an online learning-management system like Moodle, encouraging prosocial behaviors and shared representations. This study investigated children’s storytelling and collaborative behaviors during an online storytelling activity throughout the 2020 SARS-CoV-2 home confinement in Spain. From 1st to 5th grade of primary school, one-hundred-sixteen students conducted weekly activities of online storytelling as an extracurricular project of a school in Madrid. Facilitators registered participants’ platform use and collaboration. Stories were audio-recorded, transcribed verbatim, and analyzed using the Bears Family Story Analysis System. Three categories related to the SARS-CoV-2 pandemic were added to the story content analysis. The results indicate that primary students worked collaboratively in an online environment, with some methodology adaptations to 1st and 2nd grade. Story lengths tended to be reduced with age, while cohesion and story structure showed stable values in all grades. All stories were balanced in positive and negative contents, especially in characters’ behavior and relationships, while story problems remained at positive solution levels. In addition, the pandemic theme emerged directly or indirectly in only 15% of the stories. The findings indicate the potential of the online collaborative storytelling activities as a distance-education tool in promoting collaboration and social interactions.
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Turner, John Robert, Nigel Thurlow, Rose Baker, David Northcutt, and Kelsey Newman. "Multiteam systems in an agile environment: a realist systematic review." Journal of Manufacturing Technology Management 30, no. 4 (June 3, 2019): 748–71. http://dx.doi.org/10.1108/jmtm-10-2018-0355.
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Purpose The purpose of this paper is to highlight a collaborative effort between academia (University of North Texas, Team Sciences) and practice (Toyota Connected (TC)). This study concentrated on current problems that had been experienced by TC: How to structure and manage multiteam systems (MTSs)? Design/methodology/approach This research study utilized a realist systematic review to address an existing problem by working collaboratively with TC and academia. This collaboration involved problem identification, the development of research questions and a full systematic review guided by the research questions. Findings This realist systematic review merged the literature with current practices at TC in an effort to gather evidence to support the best method of structuring and managing MTSs. The findings include a leadership structure that incorporates both shared leadership (bottom-up) and existing hierarchical structures (top-down). Practical implications The MTS models presented in this study provide new models for organizations/manufacturers/industries to use as a guide when structuring their MTSs. Originality/value This study provides an example of a collaborative research effort between practice and academia using a realist systematic review. The paper also provides some multiteam system models that could be implemented and tested in different organizations. Also, new responsibilities and roles for scrum and MTSs are presented as a new method of achieving Agile.
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Ofem, Brandon, Bindu Arya, and Stephen P. Borgatti. "The Drivers of Collaborative Success Between Rural Economic Development Organizations." Nonprofit and Voluntary Sector Quarterly 47, no. 6 (June 22, 2018): 1113–34. http://dx.doi.org/10.1177/0899764018783084.
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The nonprofit literature has directed attention to exploring how features of the broader structure of exchanges within regional collaboration networks impact the dynamics and outcomes of a single partnership. This study examines how partners’ relative positions within a collaboration network impact their interdependence and collaborative success. Our analysis of 298 collaborations between 98 economic development organizations operating in an economically distressed rural region demonstrates that social network properties—structural embeddedness and relative centrality—have substantial effects on exchange partners’ collaborative success. We also investigate whether network effects are mediated by the two dimensions of interdependence, mutual dependence and power imbalance. Together, our theorizing and results speak to the driving factors of collaborative success in a context where collaboration is particularly vital.
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Zhang, Xiaoli, Chunfeng Fan, Bianlian Zhang, Yali Guo, Shaofei Dong, and Guangle Yang. "Delphi Collaboration Strategy for Multiagent Optical Fiber Intelligent Health Monitoring System." Journal of Sensors 2022 (November 21, 2022): 1–7. http://dx.doi.org/10.1155/2022/5497708.
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Optical fiber sensors are very attractive in mechanical structure intelligent health monitoring system due to some unique characteristics, such as immunity to electromagnetic interference and to aggressive environments, high sensitive and fast response, small physical dimension, excellent resolution and range, and so on. For improving the accuracy and reliability of the optical fiber intelligent health monitoring system in practical engineering application, the collaboration and decision-making strategy based on Delphi method for multiagent optical fiber intelligent health monitoring system is studied in this paper. The proposed system is mainly composed of optical fiber sensing agent, intelligent evaluation agent, and system collaborative decision-making agent. The intelligent evaluation agent is used to evaluate the health status of the monitored mechanical structures. Delphi method is used by the system collaborative decision-making agent to consult each intelligent evaluation agent. Meanwhile, the collaborative partner selection algorithm is used to select the intelligent evaluation agent participating in the collaboration, and the intelligent evaluation agent that does not participate in the decision-making is dynamically modified by the decision result. The experiment for an aircraft wing box as the typical engineering structure is carried out and the verification system is designed, the decision result is compared with that without dynamic correction of the evaluation result. The comparative results indicate that the evaluation accuracy and reliability of the monitored mechanical structural damage are improved significantly after multiple rounds of collaboration and decision making.
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McGowan, James G., Graham P. Martin, Greta L. Krapohl, Darrell A. Campbell, Michael J. Englesbe, Justin B. Dimick, and Mary Dixon-Woods. "What are the features of high-performing quality improvement collaboratives? A qualitative case study of a state-wide collaboratives programme." BMJ Open 13, no. 12 (December 2023): e076648. http://dx.doi.org/10.1136/bmjopen-2023-076648.
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ObjectivesDespite their widespread use, the evidence base for the effectiveness of quality improvement collaboratives remains mixed. Lack of clarity about ‘what good looks like’ in collaboratives remains a persistent problem. We aimed to identify the distinctive features of a state-wide collaboratives programme that has demonstrated sustained improvements in quality of care in a range of clinical specialties over a long period.DesignQualitative case study involving interviews with purposively sampled participants, observations and analysis of documents.SettingThe Michigan Collaborative Quality Initiatives programme.Participants38 participants, including clinicians and managers from 10 collaboratives, and staff from the University of Michigan and Blue Cross Blue Shield of Michigan.ResultsWe identified five features that characterised success in the collaboratives programme: learning from positive deviance; high-quality coordination; high-quality measurement and comparative performance feedback; careful use of motivational levers; and mobilising professional leadership and building community. Rigorous measurement, securing professional leadership and engagement, cultivating a collaborative culture, creating accountability for quality, and relieving participating sites of unnecessary burdens associated with programme participation were all important to high performance.ConclusionsOur findings offer valuable learning for optimising collaboration-based approaches to improvement in healthcare, with implications for the design, structure and resourcing of quality improvement collaboratives. These findings are likely to be useful to clinicians, managers, policy-makers and health system leaders engaged in multiorganisational approaches to improving quality and safety.
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Su, Ying Ying, Di Liang, and Hai Dong. "Flow-Oriented Collaborative Process Planning System." Applied Mechanics and Materials 496-500 (January 2014): 2634–37. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2634.
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Computer Supported Cooperative Work (CSCW) has been considered as a promising approach for developing process planning systems and optimizing process plans. Process planning plays an important role in the computer integrated manufacturing environment. Process planning based on CSCW is inevitable for reducing manufacturing preparation time and costs through concurrent and collaborative engineering. In this research, two key technologies of data exchange method and data communication method are studied based on the analysis of structure and business flow for collaborative process planning. The collaborative process planning system has been developed and adopted to support collaboratively work.