Relevant bibliographies by topics / Knowledge sharing

Academic literature on the topic 'Knowledge sharing'

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Published: 4 June 2021
Last updated: 1 June 2024

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Journal articles on the topic "Knowledge sharing"

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Dippenaar, Enrico. "Sharing knowledge." International Paramedic Practice 12, no. 3 (September 2, 2022): 44. http://dx.doi.org/10.12968/ippr.2022.12.3.44.

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George, Mike. "Sharing knowledge." Nursing Standard 10, no. 36 (May 29, 1996): 55–56. http://dx.doi.org/10.7748/ns.10.36.55.s49.

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Kim, Jaekyung, Sang M. Lee, and David L. Olson. "Knowledge Sharing." International Journal of Knowledge Management 2, no. 4 (October 2006): 1–16. http://dx.doi.org/10.4018/jkm.2006100101.

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Marks, Peter, Peter Polak, Scott McCoy, and Dennis Galletta. "Sharing knowledge." Communications of the ACM 51, no. 2 (February 2008): 60–65. http://dx.doi.org/10.1145/1314215.1314226.

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Gupta, Samir. "Sharing knowledge." Monash Business Review 4, no. 2 (July 2008): 8–9. http://dx.doi.org/10.2104/mbr08038.

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Stewart, Tom. "Knowledge sharing." Behaviour & Information Technology 31, no. 11 (November 2012): 1055–56. http://dx.doi.org/10.1080/0144929x.2012.745277.

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Fauzi, Muhammad Ashraf, Christine Tan Nya-Ling, Ramayah Thursamy, and Adedapo Oluwaseyi Ojo. "Knowledge sharing." VINE Journal of Information and Knowledge Management Systems 49, no. 1 (March 6, 2019): 136–59. http://dx.doi.org/10.1108/vjikms-09-2018-0074.

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Purpose Academics research productivity is the pinnacle issue of higher learning institution (HLI) quest for providing the best service for the community and a country’s as a whole. Being productive in their area of expertise will determine how far HLI can challenge for the best education in the world. In lieu of this, knowledge sharing (KS) behavior determinants are assessed to determine what factors that can contribute to academic’s research productivity. Design/methodology/approach A quota sampling method was applied in selecting academics from public and private universities in Malaysia. A partial least square structural equation modelling (PLS-SEM) was used for analysis. Findings The results show that academics productivity explained variance is 22.6 per cent. This suggests that academics KS behavior has substantial impact on research productivity. As for determinants of academic’s attitude, academics commitment, trust and social network constituted an explained variance of 36.4 per cent. Management support has an explained variance of 38.7 per cent towards subjective norm, while facilitating condition and social media has an explained variance of 26.5 per cent towards perceived behavioral control (PBC). Academics KS intention and KS behavior explained variance were 62.1 and 47.1 per cent, respectively. Research limitations/implications All the hypotheses result in significant relationship except for H1, commitment toward attitude. The impact of this study will be discussed in term of its theoretical and managerial perspectives. Originality/value The KS behavior in a multiracial and multinational country in Malaysia can be a benchmark for Asian countries in general.
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Williams, Ruth. "Knowledge sharing." Nursing Management 22, no. 4 (July 2015): 21. http://dx.doi.org/10.7748/nm.22.4.21.s29.

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Lord, Philip. "Sharing knowledge." Journal of Medical Marketing 6, no. 2 (March 2006): 111–14. http://dx.doi.org/10.1057/palgrave.jmm.5050023.

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Ameer, Muhammad Saad. "Knowledge Sharing." Performance Improvement 58, no. 1 (January 2019): 31–33. http://dx.doi.org/10.1002/pfi.21828.

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Dissertations / Theses on the topic "Knowledge sharing"

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Mulligan, Deborah R. "Knowledge-sharing leadership sharing of knowledge in relation to leadership /." Full text available, 2001. http://images.lib.monash.edu.au/ts/theses/mulligan.pdf.

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Persson, Paula. "Knowledge sharing while teleworking : How it occurs, differences and knowledge sharing barriers." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-80264.

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Knowledge is the resource that provides the best possibilities of being competitive since it increases while used and is difficult to copy. Knowledge sharing has been shown to increase organizational performance in both tangible and intangible measures. Therefore, it is important that employees of a research and development department in a large Swedish industry, that were recommended to telework in combination with short-time working due to covid-19, continue sharing knowledge. This study aimed to analyze how employees in a development department share knowledge while teleworking and how it differs from knowledge sharing in a traditional office. The phenomenon was analyzed in-depth, especially what prevents the knowledge from being shared and knowledge sharing barriers that exist during telework. The objective was to gain further knowledge of how departments can share knowledge efficiently while teleworking. A qualitative single case study was conducted and 8 semi-structured interviews were held with employees at the department. The findings suggest that knowledge sharing occurs with tools that are used in a traditional office and that is no difference in terms of whom employees share knowledge with, but the face-to-face meetings are missing. A further suggestion is that it occurs by less informal knowledge sharing and that the meetings tend to have a stricter agenda that is kept at a higher degree than when working in a traditional office. The knowledge sharing barriers identified were: challenging to express knowledge, time constraints, uncertainty which knowledge to share with whom, less informal places to share knowledge, lack of trust, differences in experience/knowledge/education, attitude, and culture & leadership. The results give companies in similar situations cognizance of how knowledge sharing occurs and differ when suddenly teleworking is required and knowledge sharing barriers that exist. These findings identify risks and difficulties of knowledge sharing when teleworking.
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Boer, N. I. "Knowledge Sharing within Organizations." [Rotterdam]: Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam ; Rotterdam : Erasmus University Rotterdam [Host], 2005. http://hdl.handle.net/1765/6770.

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Grünfelder, Manon, and Angelika Hartner. "What influences Knowledge Sharing?" Thesis, Umeå universitet, Företagsekonomi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-73531.

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In the competitive environment, organizational knowledge became one of the most valuable strategic resources for a company. Indeed, it is said to be the only resource that cannot be imitated, and thus, that provides a reliable competitive advantage. Hence, knowledge management has become a highly investigated field of study. In fact, knowledge sharing, one of the facets of knowledge management is considered as a helpful leverage within a company’s strategy. Knowledge sharing has been studied widely, it is found to be a powerful process to ensure that the developed knowledge within the company is kept in the company and made usable. Even though knowledge sharing has been investigated by researchers, when looking at the practices within organizations, it appears that those are not as efficient as they could be, due to organizational, technical, as well as individual hindrances that affect the establishment of such processes.   This thesis aims to increase the understanding of which factors influence individuals’ sharing behavior and which role a knowledge sharing policy takes. Therefore, interviews have been conducted with the employees within the communications department of the Alstom group. Alstom France is multinational company, which is providing transportation and energy producing solutions; this implies that the communication is a support function and needs to work efficient, which makes the matter of knowledge sharing even more important. It was found that the strategic importance of knowledge sharing is highly acknowledged within Alstom, since the company has introduced a knowledge transfer department, which has released the “Alstom Knowledge Management Transfer Handbook”, the company’s internal knowledge sharing policy. It provides a guideline for the managers within the departments. The perceived motivations and hindrances to share knowledge are mainly about the manager’s role, language and the team culture.
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Gao, Sheng. "Understanding knowledge sharing behavior /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ISMT%202004%20GAO.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.
Includes bibliographical references (leaves 72-80). Also available in electronic version. Access restricted to campus users.
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Sjöland, Mattias, and Sara Persson. "Knowledge sharing: How ICT and organizational culture increase sharing of knowledge within firms." Thesis, Högskolan Kristianstad, Sektionen för hälsa och samhälle, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-10742.

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As companies of the 21th century are getting more and more globalized it is important for companies to stay ahead of their known and unknown competitors. Knowledge is a key factor for many companies. Knowledge cannot always be transmitted effectively between employees in companies. Large sized enterprises have adopted various information and communication technologies (ICT) in order to transmit knowledge fast and efficiently. Small and medium sized enterprises (SMEs) have according to previous research, not been able to apply ICT to their business as well as large sized firms The purpose of this dissertation is to explore the gap, which exists between the usage of ICT and knowledge sharing in Swedish SMEs. In this dissertation, a deductive approach will be used as the theories are existent but are lacking empirical data. The research was performed through qualitative studies, and the method that was used was case studies. The case studies were performed in four companies, which belong to the production/service industry, all the companies fall into the category of SME. A model was constructed from existing theories made by Hendriks (2001) this model was analyzed and tested thoroughly. In the analysis of this dissertation, the model was developed as new factors were discovered to have an influence on what is affecting managerial perception of ICT and how it is being used for knowledge sharing. Our findings suggest that ICT use is affected by an influence, which exists in an external layer. This influence consists of legal requirements. Legal requirements seem to have a large impact on how ICT is being used in some companies, which are operating in a knowledge-based industry.
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Alamgir, Rana, and Shahid Ahmed. "ICT Enabled Knowledge Sharing – Impact of ICT on Knowledge Sharing Barriers : The Case of Avanade." Thesis, Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12452.

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Studies in recent years have revealed that use of ICT can significantly impact knowledge sharing in organizations by enhancing the knowledge sharing process, reducing knowledge sharing barriers, and introducing technology barriers. While this has been identified in many studies and a significant research has been carried out to identify knowledge sharing barriers, there exists a considerable dearth of research when the question of ‘which knowledge sharing barriers can ICT reduce and how?’ is posed. This thesis aims to address this question by studying the case of an organization using ICT for knowledge sharing. The study was carried out using questionnaire and interview findings and results showed that if ICT is effectively used, a number of knowledge sharing barriers - in addition to time and space barriers - can be successfully reduced. Organizational and individual knowledge sharing barriers saw most reduction by ICT while technology barriers did not see any reduction by use of ICT alone. This is in coherence with different studies that use of ICT for knowledge sharing introduces its own technology barriers. However the results show that if employees are tech-savvy and management considerably supports employee involvement in the process of design and deployment of ICT enabled knowledge sharing, technology barriers can also be greatly reduced and even entirely eliminated.
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Tedmori, Sara. "Exploiting email : extracting knowledge to support knowledge sharing." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/3580.

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Effective management of knowledge assets is key to surviving in today's competitive business environment. This is particularly true for large organisations, where employees have difficulties identifying where or with whom the knowledge lies. Expertise is one of the most important knowledge assets and largely resides in the heads of employees. Many attempts have been made to help locate employees with the right expertise; however, the existing systems (often referred to as expertise finding systems) carry several flaws. In organisations, there are several potential sources where expertise evidence might be found. These sources have been used by the existing approaches to profile employees' expertise. Unfortunately, there has been limited research showing whether these sources contain useful evidence of expertise. Moreover, the majority of existing approaches have not been designed to integrate with the organisations' work practices; nor have they investigated the socio-ethical challenges associated with the adoption of such systems. Therefore, there is a need for expert finding systems that utilise useful sources of expertise and integrate into existing work practices. Through industry involvement, this research has explored and validated email content as a source for expertise profiling. This thesis provides an overview of the traditional and current approaches to expertise finding. The development and implementation of the EKE (Email Knowledge Extraction) system which tries to overcome the aforementioned challenges is presented. EKE has been evaluated by end-users from both industry and academia. The evaluation results suggest that EKE is a useful system that encourages participation, and that in many cases may assist in the management of knowledge within organisations.
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Zadjabbariochtapeh, Behrang. "Knowledge sharing framework for sustainability of knowledge capital." Thesis, Curtin University, 2010. http://hdl.handle.net/20.500.11937/52.

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Knowledge sharing is one of the most critical elements in a knowledgebased society. With huge concentration on communication facilities, there is a major shift in world-wide access to codified knowledge. Although communication technologies have made great strides in the development of instruments for accessing required knowledge and improving the level of knowledge sharing, there are still many obstacles which diminish the effectiveness of knowledge sharing in an organization or a community. The current challenges include: identification of the most important variables in knowledge sharing, development of an effective knowledge sharing measurement model, development of an effective mechanism for knowledge sharing reporting and calculating knowledge capital that can be created by knowledge sharing. The ability and willingness of individuals to share both their codified and uncodified knowledge have emerged as significant variables in knowledge sharing in an environment where all people have access to communication instruments and have the choice of either sharing their own knowledge or keeping it to themselves.This thesis addresses knowledge sharing variables and identifies the key variables as: willingness to share or gain knowledge, ability to share or gain knowledge, complexity or transferability of the shared knowledge. Different mechanisms are used to measure these key variables. Trust mechanisms are used to measure the willingness and ability of individuals to share or acquire knowledge. By using trust mechanisms, one can rate the behavior of the parties engaged in knowledge sharing and subsequently assign a value to the willingness and ability of individuals to share or obtain knowledge. Also, ontology mechanisms are used to measure the complexity and transferability of a particular knowledge in the knowledge sharing process. The level of similarity between sender and receiver ontologies is used to measure the transferability of a particular knowledge between knowledge sender and receiver. Ontology structure is used to measure the complexity of the knowledge transmitted between knowledge sharing parties.A knowledge sharing framework provides a measurement model for calculating knowledge sharing levels based on trust and ontology mechanisms. It calculates knowledge sharing levels numerically and also uses a Business Intelligence Simulation Model (BISIM) to simulate a community and report the knowledge sharing level between members of the simulated community. The simulated model is able to calculate and report the knowledge sharing and knowledge acquisition levels of each member in addition to the total knowledge sharing level in the community.Finally, in order to determine the advantages of knowledge sharing for a community, capital that can be created by knowledge sharing is calculated by using intellectual capital measurement mechanisms. Created capital is based on knowledge and is related to the role of knowledge sharing in increasing the embedded knowledge of individuals (human capital), improving connections, and embedding knowledge within connections (social capital). Also, market components (such as customers) play a major role in business, and knowledge sharing improves the embedded knowledge within market components that is defined as market capital in this thesis. All these categories of intellectual capital are measured and reported in the knowledge sharing framework.
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Dale, Andrew James Roger. "Defensive behaviours toward knowledge sharing." Thesis, University of Warwick, 1999. http://wrap.warwick.ac.uk/4491/.

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Direct patient care requires knowledge sharing between clinical professionals. However, clinicians have often been suspicious of managers' motives, this lack of trust often resulting in reluctance to share knowledge for managerial purposes. Trust is one component of the psychological contract - an unwritten set of expectations between employees and employer. There are strong links between components of the psychological contract and defensive behaviours. There is much theory to support these links but little research evidence to support and explain these links. To overcome defensive behaviours requires an understanding of how they have developed, and particularly the role played by the psychological contract. This research builds on research first undertaken by Argyris in the 1960s, enhanced and made relevant to the current business environment and organisational arrangements currently prevailing in the NHS. A model and an analytical framework were developed for this research to assess organisational, professional and employee health in two health authorities. This research concludes that organisational ill-health, and failure to ensure the psychological contract is intact, result in employees displaying defensive behaviours and keeping knowledge to themselves. Components of the psychological contract were found to have strong links with organisational arrangements. Subtle variances were found between clinical and non-clinical employees, and between Chief Executives/Directors and those below this level. This research adds to our knowledge by identifying the different ways in which these groups develop paradigms that are often in conflict, sometimes intangible, and usually difficult to change. This added knowledge will allow organisational, team and personal development to have a sharper focus, particularly with reference to development of the psychological contract in the NHS, overcoming defensive behaviours, and breaking down barriers to knowledge sharing. This will support the development of infrastructures, teams and individuals to take NHS organisations into the 21st century with added confidence.
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Books on the topic "Knowledge sharing"

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Dupuy, François. Sharing Knowledge. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230006157.

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Kazuhiro, Fuchi, and Yokoi Toshio, eds. Knowledge building and knowledge sharing. Tokyo: Ohmsha, 1994.

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Valeri, Marco, ed. Knowledge Management and Knowledge Sharing. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-37868-3.

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Ensign, Prescott C. Knowledge Sharing among Scientists. New York: Palgrave Macmillan US, 2009. http://dx.doi.org/10.1057/9780230617131.

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Huysman, Marleen, and Dirk de Wit. Knowledge Sharing in Practice. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9992-4.

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Lam, Jeanne, Kam Cheong Li, Simon K. S. Cheung, and Fu Lee Wang, eds. Knowledge Sharing through Technology. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45272-7.

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Huysman, Marleen. Knowledge Sharing in Practice. Dordrecht: Springer Netherlands, 2002.

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Boone, Peter F. Managing intracorporate knowledge sharing. Delft, The Netherlands: Eburon Publishers, 1997.

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1961-, Wit Dirk de, ed. Knowledge sharing in practice. Dordrecht: Kluwer Academic Publishers, 2002.

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Gray, Alex, Keith Jeffery, and Jianhua Shao, eds. Sharing Data, Information and Knowledge. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-70504-8.

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Book chapters on the topic "Knowledge sharing"

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Cooper, Susan. "Sharing knowledge." In Participatory Evaluation in Youth and Community Work, 159–67. 1st Edition. | New York : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315645247-16.

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Bowers, Kristy Wilson. "Sharing Knowledge." In Renaissance Surgeons, 56–71. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003291060-4.

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Wziątek-Staśko, Anna, Regina Lenart-Gansiniec, and Izabela Michalik. "Knowledge sharing." In Organizational Commitment and Knowledge Sharing in Contemporary Companies, 68–97. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003216605-4.

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Dupuy, François. "Introduction." In Sharing Knowledge, 1–8. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230006157_1.

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Dupuy, François. "The Process: From Priorities to Levers." In Sharing Knowledge, 167–85. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230006157_10.

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Dupuy, François. "Implementation: The Moment of Change." In Sharing Knowledge, 186–207. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230006157_11.

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Dupuy, François. "Implementation: Playing on Trust." In Sharing Knowledge, 208–21. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230006157_12.

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Dupuy, François. "The Particular Case of Public Organizations." In Sharing Knowledge, 222–38. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230006157_13.

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Dupuy, François. "Conclusion." In Sharing Knowledge, 239–54. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230006157_14.

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Dupuy, François. "An Uncertain World." In Sharing Knowledge, 11–24. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230006157_2.

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Conference papers on the topic "Knowledge sharing"

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Deloule, Françoise. "Knowledge sharing." In the International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1643823.1643838.

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Wang, Xi, and Liliana Mitkova. "Research on China's knowledge sharing system: Agricultural knowledge sharing." In 2015 International Conference on Food Hygiene, Agriculture and Animal Science. WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813100374_0023.

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Yamaguchi, Seiyu, Hajime Mizuyama, Tomomi Nonaka, and Mizuho Sato. "Knowledge-Sharing Market." In CSCW '18: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3272973.3274058.

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York, Dustin, and Zhengxin Xi. "Sharing the knowledge." In the 2011 annual conference extended abstracts. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1979742.1979507.

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"KNOWLEDGE DIFFUSION." In International Conference on Knowledge Management and Information Sharing. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003045902830286.

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Chen, Guan-Lin, Wei-Yu Ling, Shu-Chen Yang, Shung-Ming Tang, and Wan-Chen Wu. "Explicit Knowledge and Tacit Knowledge Sharing." In 2011 International Conference on Management and Service Science (MASS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icmss.2011.5998951.

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Nejad, Azar Kiani, Rezvan Hosseingholizadeh, and Azadeh Kiani Nejad. "Where is the boundary of knowledge sharing? Identifying Knowledge sharing Criteria." In 2014 4th International eConference on Computer and Knowledge Engineering (ICCKE). IEEE, 2014. http://dx.doi.org/10.1109/iccke.2014.6993459.

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"Ontology based Knowledge Transferability and Complexity Measurement for Knowledge Sharing." In International Conference on Knowledge Management and Information Sharing. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004103600050014.

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Lassalle, Claire C., and Guy J. Lavergne. "Sharing knowledge with peers." In the 33rd annual ACM SIGUCCS conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1099435.1099473.

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Mendes Rodrigues, Eduarda, and Natasa Milic-Frayling. "Socializing or knowledge sharing?" In Proceeding of the 18th ACM conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1645953.1646096.

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Reports on the topic "Knowledge sharing"

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Arunachalam, Subbiah, and Muthu Madhan. India’s fumbled chance for sharing knowledge. Edited by Sara Phillips. Monash University, December 2022. http://dx.doi.org/10.54377/bb5e-ab27.

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Wolfe, S. A., S. Schott, and J. Chapman. Iqalungmiut: a Gjoa Haven knowledge-sharing workshop. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2018. http://dx.doi.org/10.4095/313097.

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Nolan, Clare Nolan. Open for Good: Knowledge Sharing to Strengthen Grantmaking. New York, NY United States: Foundation Center, April 2018. http://dx.doi.org/10.15868/socialsector.30194.

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Hoste, Robert, and Jie Yan. Improving sustainable Chinese pig production by sharing knowledge from the Netherlands. Wageningen: Wageningen Economic Research, 2023. http://dx.doi.org/10.18174/640741.

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Nosek, John T. Exploring Group Cognition as a Basis for Supporting Group Knowledge Creation and Sharing. Fort Belvoir, VA: Defense Technical Information Center, March 2001. http://dx.doi.org/10.21236/ada467937.

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Dudoit, Alain, Molivann Panot, and Thierry Warin. Towards a multi-stakeholder Intermodal Trade-Transportation Data-Sharing and Knowledge Exchange Network. CIRANO, December 2021. http://dx.doi.org/10.54932/mvne7282.

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The performance of supply chains used to be mainly the concern of academics and professionals who studied the potential efficiencies and risks associated with this aspect of globalisation. In 2021, major disruptions in this critical sector of our economies are making headlines and attracting the attention of policy makers around the world. Supply chain bottlenecks create shortages, fuel inflation, and undermine economic recovery. This report provides a transversal and multidisciplinary analysis of the challenges and opportunities regarding data interoperability and data sharing as they relate to the ‘Great Lakes - St. Lawrence Seaway Trade Corridor’ (GLSLTC)’s intermodal transportation and trade data strategy. The size and scope of this trade corridor are only matched by the complexity of its multimodal freight transportation systems and growing urbanization on both sides of the Canada-US border. This complexity is exacerbated by the lack of data interoperability and effective collaborations between the different stakeholders within the various jurisdictions and amongst them. Our analytical work relies on : 1) A review of the relevant documentation on the latest challenges to supply chains (SC), intermodal freight transport and international trade, identifying any databases that are to be used.; 2) A comparative review of selected relevant initiatives to give insights into the best practices in digital supply chains implemented in Canada, the United States, and the European Union.; 3) Interviews and discussions with experts from Transport Canada, Statistics Canada, the Canadian Centre on Transportation Data (CCTD) and Global Affairs Canada, as well as with CIRANO’s research community and four partner institutions to identify databases and data that they use in their research related to transportation and trade relevant data availabilities and methodologies as well as joint research opportunities. Its main findings can be summarized as follow: GLSLTC is characterized by its critical scale, complexity, and strategic impact as North America’s most vital trade corridor in the foreseeable further intensification of continental trade. 4% of Canadian GDP is attributed to the Transportation and Logistics sector (2018): $1 trillion of goods moved every year: Goods and services imports are equivalent to 33% of Canada’s GDP and goods and services exports equivalent to 32%. The transportation sector is a key contributor to the achievement of net-zero emissions commitment by 2050. All sectors of the Canadian economy are affected by global supply chain disruptions. Uncertainty and threats extend well beyond the COVID-19 Pandemic. “De-globalization” and increasing supply chains regionalization pressures are mounting. Innovation and thus economic performance—increasingly hinges on the quantity and quality of data. Data is transforming Canada’s economy/society and is now at the center of global trade “Transport data is becoming less available: Canada needs to make data a priority for a national transportation strategy.” * “How the Government of Canada collects, manages, and governs data—and how it accesses and shares data with other governments, sectors, and Canadians—must change.”
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Velez, Eduardo. Brazil’s Practical Experience with Access and Benefit Sharing and the Protection of Traditional Knowledge. Geneva, Switzerland: International Centre for Trade and Sustainable Development, 2010. http://dx.doi.org/10.7215/nr_pb_20100708.

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Zhang, Xiaoliang, and Philip H. Stauffer. Theme II Joint Work Plan -2017 Collaboration and Knowledge Sharing on Large-scale Demonstration Projects. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1394996.

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Zhao, Y., X. Shen, and C. Liao. OpenK: An Open Infrastructure for the Accumulation, Sharing and Reuse of High Performance Computing Knowledge. Office of Scientific and Technical Information (OSTI), May 2020. http://dx.doi.org/10.2172/1617288.

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Georgalakis, James, Nasreen Jessani, Rose Oronje, and Ben Ramalingam, eds. The Social Realities of Knowledge for Development: Sharing Lessons of Improving Development Processes with Evidence. Institute of Development Studies and The Impact Initiative, March 2017. http://dx.doi.org/10.35648/20.500.12413/11781/ii244.

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