Unlocking Covid-19 knowledge sharing within North West Universities

Farag Edghiem (Institute of Management Greater Manchester, University of Bolton, Bolton, UK)
Xiuli Guo (School of Business and Creative Industries, University of the West of Scotland, Paisley, UK)
Carl Bridge (Institute of Management Greater Manchester, University of Bolton, Bolton, UK)
Martin McAreavey (Institute of Management Greater Manchester, University of Bolton, Bolton, UK)

Journal of Work-Applied Management

ISSN: 2205-2062

Article publication date: 21 June 2021

Issue publication date: 21 September 2021

853

Abstract

Purpose

Based on initial observation, this paper aims to explore the current practices of collaborative knowledge sharing (KS) between North West Universities and highlight new avenues of future relevant research.

Design/methodology/approach

A netnographic observation was conducted to unveil the current practices of KS between North West Universities.

Findings

The paper concludes that there is little or no evidence of collaborative KS practices amongst North West Universities in response to the present Covid-19 transition.

Practical implications

This paper provides useful, practical insight that may assist decision-makers to establish KS initiatives within North West Universities and beyond. A strategy is also proposed to nurture collaborative KS amongst North West Universities and within wider work-applied management practice.

Originality/value

This paper presents an unconventional conceptualisation of KS practices amid the present Covid-19 pandemic with the fresh perspective of North West England Universities.

Keywords

Citation

Edghiem, F., Guo, X., Bridge, C. and McAreavey, M. (2021), "Unlocking Covid-19 knowledge sharing within North West Universities", Journal of Work-Applied Management, Vol. 13 No. 2, pp. 172-183. https://doi.org/10.1108/JWAM-12-2020-0055

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Farag Edghiem, Xiuli Guo, Carl Bridge and Martin McAreavey

License

Published in Journal of Work-Applied Management. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode


1. Introduction

Knowledge management (KM) plays an important role in higher education institutions' (HEIs') success (Nair and Munusami, 2020), and it could enrich knowledge sharing (KS) and overall performance (Hossain et al., 2013). The global Covid-19 pandemic has brought significant challenges to governments and organisations worldwide. HEIs are no exception. The scale of the outbreak and its unpredictability make it extremely difficult to respond (D'Auria and De Smet, 2020). Howitt and Leonard (2007) termed such disease outbreaks (e.g. Ebola, SARS, H5N1) as emergent crises, and they believed that this kind of crisis involves ongoing processes and continuing evolution of damage and response. Due to the unfamiliarity and uncertainty of the crises, effective responses are mainly improvised (D'Auria and De Smet, 2020).

This paper aims to explore collaborative KS practices between Universities in the North West (NW) of England amid the major transition implied by the current Covid-19 pandemic. The paper begins by outlining KM in higher education (HE) and crisis KM, discussing how NW Universities responded to the Covid-19 transition by adopting unconventional adaptive measures. Finally, we propose a strategy to nurture collaborative KS practices amongst NW Universities that may be cross-sector applicable and promote action learning initiatives.

2. Knowledge management in higher education institutions

The practices of KM have intensely evolved as an inevitable challenge to UK Universities amid the Covid-19 pandemic. Alike other UK higher education institutions (HEI), the Universities in the NW region of England have undergone major transitions to cope with the current Covid-19 developments (The Guardian, 2020). Conclusively, NW Universities are expected to establish essential KM traditions in response to the present pandemic featured by:

  1. timely and accurate knowledge transfer between the participating actors within the knowledge network;

  2. nurture KS between Universities at inter, intra and external levels;

  3. create knowledge that is readily accessible to influenced stakeholders; and

  4. overcome KS barriers and establish trust between participating actors to leverage knowledge transfer.

KM remains extensively debated within academic communities since the term was originally coined in the artificial intelligence literature in the 1980s (Seviby, 1997). KM research has been developed extensively in the past decade in response to the emergence of Internet of Things and associated Big Data applications (Gehl, 2015; Santoro et al., 2018) and continues to be a key determinant of organisational effectiveness and value creation (Geisler and Wickramasinghe, 2015). Horwitch and Armacost (2002) describe KM as the creation, extraction, transformation and storage of the correct knowledge and information to design better policy, modify action and deliver results. Clobridge (2013) further claims that KM is the process of systematically capturing, describing, organising and sharing knowledge – making it useful, useable, adaptable and re-useable. Essentially, an extensive list of KM approaches can be identified in the literature; the focus of this paper would be on KS practices in the formal prescribed methods such as mandatory meetings, computer-assisted and online mediums, and knowledge workers interaction.

KS is a fundamental element of KM. Nevertheless, KS is deemed as a major challenge for KM (Chow and Chan, 2008). Considerations of management values and supportive attitudes towards innovation strategies were the precursors to KS (Hsu and Lin, 2008). For KS to be effective, the knowledge type is a key aspect. For instance and despite its significance, tacit knowledge can be more difficult to share than explicit knowledge, which could be practically shared through formal methods and different forms of training and development (Abdullah and Sinha, 2009). The individuals engaged in KM-type activities are frequently referred to as knowledge workers, defined by Debowsky (2006, p. 18) as those who “spend most of their time generating, applying or conveying knowledge”. As the continuity of knowledge is founded upon the communication between people within an organisation (Levy, 2011), it is imperative that knowledge workers have an understanding of what they and others know or need to know and what information has to be shared within their organisation (Jeon et al., 2011). A large number of studies focused on KS among employees in the commercial and public sectors (Cabrera and Cabrera, 2002; Gurteen, 1999; Magnier Watanabe and Senoo, 2010; Reid, 2003), while little has been done in understanding this within the HEI context (Al-Kurdi et al., 2018). Given the fact that knowledge is so crucial to HEIs, it would be expected that HEIs have adopted KM and KS strategies applied in other sectors (Al-Kurdi et al., 2018). However, the literature showed that few HEIs have attempted to implement comprehensive KM and KS programmes (Abdullah et al., 2008; Fullwood et al., 2013; Goh and Sandhu, 2013; Kim and Ju, 2008; Ramachandran, 2013; Rowley, 2000).

KM has been substantiated as key processes within academia clearly classified as research, teaching and publication (Hussein and Nassuora, 2011). However, there may be shared considerations between KM within Universities and sector organisations. These considerations include demographic change, market pressures, lifelong learning, globalisation and the internationalisation of higher education, new technology, shifts from teaching to learning and government demands for cost efficiency and the availability of useable knowledge (Middlehurst and Woodfield, 2006). Therefore, the way forward for Universities may be determined by the adoption of effective KM forms (Meyer and Scholl, 2005; Witt et al., 2007). Al-Kurdi et al. (2018, pp. 232–233) stated that “a positive approach to KM by HEIs would facilitate the transition to a knowledge-based economy, enhance knowledge sharing, improve educational programmes, and consequently improve the overall performance of universities”. Essentially, Steyn (2004) emphasised that there is a need to focus on technology, structures and people for the power of knowledge to be fully exploited.

It was around late 1980s when KM in Universities attracted the attention of researchers (Leitner and Warden, 2004), where, as noted by Cheng et al. (2009), knowledge hoarding was more common than KS. In general, empirical evidence supports the view that there is an implicit KS culture in Universities that seem to be individualistic and self-serving (Fullwood et al., 2013). This may also create challenges for Universities that seek to improve the ways in which knowledge is created, shared and disseminated. If mastered effectively, KS can lead to improved decision-making in terms of enhancing quality of programmes, curriculum development and research (Howell and Annansingh, 2013).

In an initial investigation of KM failure, it was underlined that successful implementation factors are not yet clear (Wong, 2005). Often, KM initiatives fail to deliver on their potential benefits; Frost (2014) reviews literature on KM and reports a number of failure factors. Some issues like the success of KS in organisations are not solely technological issues but are also related to human behavioural factors (Liao, 2003). For example, Kankanhalli et al. (2003) suggest that KM is plagued by problems such as low contributions and low usage. Moreover, KS activities do not always fit within the norms of traditional universities where reward and promotional mechanisms are often focused on publications, funding, teaching and technology commercialisation activities (Miller et al., 2014).

3. Crisis knowledge management

Due to the fact that knowledge is a complex and abstract term, there are different ongoing debates on the definition of knowledge. Epetimehin and Ekundayo (2011) stated that knowledge is an invisible or intangible asset, in which its acquisition involves complex cognitive processes of perception, learning, communication, association and reasoning. One of the well-accepted definitions about knowledge is that knowledge is a dynamic human resource of justification of the personal beliefs to obtain the truth (Nonaka, 1994).

There are two main broad categories of knowledge types: tacit and explicit knowledge (Hubert, 1996). Tacit knowledge represents knowledge that cannot be clearly articulated to others and may include personal beliefs, thoughts and perspectives that are hard to communicate (Blackman et al., 2011). On the contrary, explicit knowledge is the type of knowledge that is well documented in the form of data, formula and specific instructions preserved systematically for future references (Sharma and Dey, 2018). Amid the current Covid-19 pandemic, relevant knowledge may feature special characteristics to appear as socio-materialistic (Nova and González, 2016; Orlikowski, 2007; Paananen, 2020; Shotter, 2013). The implications of this would be, firstly, relevant knowledge could be classified as timely and rapidly dynamic, formalised and explicit. Secondly, the relevant knowledge would be essential for NW Universities and ought to be shared. In accordance, the specific knowledge required by NW Universities to cope with the present Covid-19 transition may be detailed as follows:

  1. health and well-being knowledge in the form of Covid-19 preventative measures and equipment, mental health and personal well-being;

  2. higher education teaching and assessment adapted processes such as virtual online teaching and assessment; and

  3. transitional management process to maintain operations and overcome Covid-19-associated difficulties.

Crises can occur at any time that makes it challenging for governments and organisations to have the right resources where and when they are needed (Jennex and Raman, 2009). According to Bdeir et al. (2013), a pandemic is a type of disaster where the dynamics of the situation are particularly important, and it is different from other disasters, such as earthquakes, bushfire or floods. Many institutions and government do not have the experience of dealing with real crises or emergencies so that they have to take advantage of available experience but still have to make critical decisions. Crisis decisions are different from routine decisions because of their relatively high uncertainty and complexity (Dearstyne, 2007), where the complexity of communicating, collaborating and decision-making processes in the context of crisis response cannot be undermined (Jennex and Raman, 2009).

Knowledge building and KS not only play an essential part in productivity, competitiveness and maintaining institutional memory (Leonard-Barton, 1998; Laycock, 2005) but also have a key role in coordinating disaster management and relief efforts (Zhang et al., 2002). Seneviratne et al. (2010) further claimed that KM can play a key role in reducing the impacts of disaster through ensuring the availability and accessibility of accurate and reliable disaster risk information when required, through effective lesson learning. They identified gaps in KM within the context of disaster management. Bdeir et al. (2013) also concluded that further research on sharing knowledge during disasters needs to be carried out.

In essence, KM resembles an important part of identifying, recording and sharing disaster lessons (Robert and Lajtha, 2002) similar to the present Covid-10 pandemic, where it could be argued that the associated highly adaptive process forms an early stage of the knowledge creation cycle that requires nurturing KS practices between NW Universities. The accumulated knowledge, which is required to be accurate and up to date (Burnell et al., 2004), is vital for NW Universities to maintain their operations effectively.

4. The context of North West Universities

The UK's higher education sector has, until recently, enjoyed relative stability and, consequently, strategies were focused on alignment and resource planning rather than significant change (Kellaway, 2006). Difficulties have arisen when the radical transition became eminent to cope with the Covid-19 pandemic ramifications such as when Public Health England recommended social distancing, which involves methods such as working from home, reducing social activity and avoiding non-essential travel. The pandemic has created widespread uncertainty across all aspects of society, with a number of studies predicting potentially massive impact on the education sector, and specifically within higher education (see the Office of Budget Responsibility (OBR) report, the Universities and Colleges Union (UCU) report). Due in part to the unprecedented nature of the Covid-19 pandemic and its potential persistence, the outlook facing UK Universities seems as continuous uncertainty or even true ambiguity (Courtney, 2003). Calls from concerned organisations such as Universities UK and Competition and Markets Authority encourage Universities to take a coordinated approach by moving away from competitive responses to Covid-19, such as offering a free master's programme to all undergraduate students who sign up in September 2020 as a means of attracting students. The University and College Union (UCU) provides to its registered members through elected branch members and regular bulletins advice on issues arising from the Covid-19 transition.

Universities in the Northwest (NW) region of England in particular, face additional pressures since they face more competition than any other region outside of Greater London. The official 15 Universities in the NW resemble exceptional significance by hosting 76,880 students from the rest of the UK, and a further 36,735 international students provide 31,085 jobs and contribute £1.7bn to the local economy (UK Universities, 2017). Additionally, the city of Manchester leads the NW region as a regional hub of business and employment outside Greater London and South East England regions.

5. Netnographic observation

NW UK Universities' online platforms were observed to undergo dynamic patterns of KS in response to the Covid-19 developments, which drew our attention. Consequently, our netnographic observation (Kozinets et al., 2014) focused on the websites and social media accounts of the 15 official Universities in NW UK We justify our applied netnographic strategy based on two justifications:firstly, Universities' webpages are extensively used to address students, employees and other concerned stakeholders and are observed as useful mediums to share knowledge in relation to the Covid-19 pandemic. Secondly, social media platforms largely provide the opportunity to disseminate knowledge and interact with the knowledge providers that are not available through other conventional online mediums.

NW Universities' webpages revealed unprecedented activities to disseminate knowledge focused around the Covid-19 pandemic. However, the disseminated formalised knowledge was explicit and varied from one webpage to another. The Hootsuite application was used to curate posts and mentions focused around the Covid-19 pandemic. The knowledge shared through NW UK's Universities websites or social media accounts is mainly formalised and explicit and range from Covid-19 research update, advice on health and well-being, adapted learning and assessment procedures to operational adaptive measures.

From another perspective, we reviewed the records of the UCU branch managers at NW Universities for details on email updates to staff and students and cross-institutional KS collaboration in relation to the Covid-19 pandemic. No evidence of collaborative KS between NW Universities in response to the Covid-19 transition was detected.

In response to the Covid-19 pandemic, NW Universities were observed to take varied measures to safeguard students’ and staff welfare, and at the same time, both support current students through end of semester assessments whilst also planning for a new intake of students in September 2020. Responses appeared to be highly autonomous and varied from the timeliness of adopting preventative measures to the University of Manchester website turning to a Covid-19 information hub and the University of Bolton announcing to be first to partially reopen its campus by September 2020. Whilst collaborative initiatives existed amongst NW Universities such the NW Universities Purchasing Consortium, NW Doctoral Training Centre and the former NW Universities' Association, none of these initiatives involved a collaborative approach towards the Covid-19 transition. This autonomous orientation was evident within our netnographic observation (Kozinets, 2014) of the NW Universities' online mediums, which revealed separated KS sharing conduct and little or no evidence of cross-University collaboration (Table 1).

6. Discussion

Large-scale epidemics or pandemics such as SARS, H1N1 or Covid-19 do not occur regularly and therefore involve an element of newness when emerging. This element of newness is associated with such developments as not only the usability of knowledge but also the capacity for experimentation (Hutton, 2019). Therefore, it could be argued that there is a high degree of uncertainty associated with the Covid-19 pandemic marking an early phase of knowledge accumulation cycle. Provided that this knowledge may be essential for human survival, we make the proposition that the knowledge shared amongst NW Universities should be formalised, explicit, accurate and available to the Universities’ staff, students and other stakeholders.

Largely, the transition of the role of UK Universities from focusing on building a national elite and competing on a global scale to regional distinctiveness has led to initiating policies to nurture Universities regional engagement (Chatterton, 2000; Chatterton and Goddard, 2000). For instance, Faggian et al. (2013) substantiated the importance of higher education institutions as local research and development providers. Chatterton (2000) additionally advocated that the higher education sector needs to focus in more detail on fostering regionally embedded, co-created and co-owned knowledge. Previous literature tended to focus on the macro level, where for KS, legislative provisions are governed by national policies (Bruneel et al., 2010; Carayannis and Campbell 2011; Bozeman et al., 2013).

In line with the above argument on the transition towards regional engagement and development, NW Universities are expected to prioritise cross-University collaboration in the form of best practices KS to collectively support regional development. This collaboration is more necessitated during periods of crisis and uncertainty such as the ongoing Covid-19 pandemic.

In addition to the KS barriers discussed in Section 2, there is a real concern of when Universities are developing contingent control systems in response to the Covid-19 pandemic that they develop centralised systems to maintain financial sustainability. These centralised systems models, for the sake of institutional advantage, might damage the whole sector in the long run. For instance, the higher education frameworks that support the funding of research and teaching encourage competition between Universities and encourage academics to focus inwardly. Since tuition fees have risen up to £9,000 in England and Wales in 2011, students' satisfaction has also become key to maintaining the stream of income that is generated through students' fees; this may discourage Universities to share their best practices with their competitors. In view and based on our observation of NW Universities, we make a second proposition that the competition between NW Universities may hinder establishing collaborative KS initiatives in response to the Covid-19 transition.

From another perspective and as knowledge is widely acknowledged to exist at the individual level (Nonaka, 1994), a key concern in implementing KS mechanisms would be the organisational factors affecting the motivation and willingness of academics to engage in KS (Siegel et al., 2003; Perkmann et al., 2013; Miller et al., 2016) such as the perceived bureaucracy and inflexibility of Universities (PACEC, 2012; Galán-Muros and Plewa, 2016). Essentially, the third proposition to be made is that micro factors may demotivate academics to practice KS in NW Universities.

A more collaborative cross-University KS approach may drive forward developing better measures to cope with the current Covid-19 transition. This collaborative approach should prioritise the welfare of staff and students but should also not ignore the institutional interests of the participating Universities. In consideration of this, we propose the following strategy to nurture KS sharing amongst NW Universities.

6.1 Proposed strategy

The underlying ethos of this strategy should be that cooperation should prevail over competition during this critical phase. This ethos should be driven by the senior management board of each NW University where we recommend assigning a chief knowledge officer and KM advisory group to coordinate KS practices at both strategic and operational levels. The new roles should promote best practices amongst NW Universities to support academic progression in and non-academic operations such as information technology (IT), management and estates to implement effective procedures as implied by the Covid-19 transition.

We also recommend establishing cross-University working groups to facilitate KS between NW Universities. This will enable knowledge workers (Debowsky, 2006) to learn and share knowledge across Universities without prevalent restrictions. This will not only allow timely sharing of Covid-19 adaptive best practices but also share the results of experimenting new creative initiatives to guide the responses to Covid-19 developments.

7. Conclusion

This paper explored the current collaborative KS practices within NW in response to the transition implied by the current Covid-19 pandemic. A netnographic observation was conducted to unveil the current subject practices where it can be concluded that there is little or no evidence of collaborative KS practices amongst NW Universities in response to the present Covid-19 transition. The paper concludes three propositions; firstly and based on the produced novel classification of relevant Covid-19 knowledge, NW Universities should share formalised, explicit and accurate Covid-19 knowledge with staff, students and other stakeholders. Secondly, the competition between NW Universities may hinder establishing collaborative KS initiatives in response to the Covid-19 transition. Thirdly, academics may be demotivated to practice KS by the micro factors in NW Universities. In view of the aforementioned, we propose the following conceptual model to summarise our propositions and our suggested strategy to nurture collaborative KS amongst NW Universities (Figure 1). The proposed strategy should also guide other HEIs, in the UK and worldwide, where there is a need to adapt operating measures to cope with the major transition implied by the Covid-19 pandemic. The relevant knowledge generated within the context of NW Universities in the form of best practices could be shared at regional, national and worldwide scales to assist HEIs to cope with similar future developments.

The limitation entailed in this study may be that the access to NW Universities ICT systems to enable a thorough netnographic investigation of the collaborative KS practices was not possibly available. Essentially, we recommend that future research should explore further the characteristics of knowledge associated with Covid-19 in the higher education context and investigate in depth how NW Universities could facilitate effectively collaborative KS practices to cope with the present Covid-19 transition.

Figures

Paper's conceptual model

Figure 1

Paper's conceptual model

NW Universities' netnographic observation analysis

UniversityFAQ staffFAQ studentsWeb updatesEmail updates to staff and studentsPress releaseSocial media updates (Twitter, Facebook, LinkedIn)Collaborative KS with other institutions
University of BoltonNot evident
University of Central LancashireNot publicisedNot evident
University of ChesterNot evident
University of CumbriaNot publicisedNot evident
Edge Hill UniversityNot publicisedNot evident
Lancaster UniversityNot evident
The University of LiverpoolNot publicisedNot evident
Liverpool Hope UniversityNot publicisedNot publicisedNot evident
Liverpool John Moores UniversityNot evident
University of ManchesterNot evident
Manchester Metropolitan UniversityNot evident
The University of SalfordNot evident
BPP UniversityNot evident
Royal Northern College of MusicNot publicisedNot evident
Liverpool Institute of Performing ArtsNot publicisedNot evident

References

Abdullah, D. and Sinha, R. (2009), “Knowledge management and intellectual capital emerging perspectives”, Critical Factors for KM Implementation: An L&T, E&C Division Case Study, Institute of Management Technology, Ghaziabad, pp. 53-71.

Abdullah, R., Selamat, M.H., Jaafar, A., Abdullah, S. and Sura, S. (2008), “An empirical study of knowledge management system implementation in public higher learning institution”.

Al-Kurdi, O., El-Haddadeh, R. and Eldabi, T. (2018), “Knowledge sharing in higher education institutions: a systematic review”, Journal of Enterprise Information Management, Vol. 31 No. 2, pp. 226-246.

Bdeir, F., Hossain, L. and Crawford, J. (2013), “Emerging coordination and knowledge transfer process during disease outbreak”, Knowledge Management Research and Practice, Vol. 11 No. 3, pp. 241-254.

Blackman, D., Kennedy, M. and Ritchie, B. (2011), “Knowledge management: the missing link in DMO crisis management?”, Current Issues in Tourism, Vol. 14 No. 4, pp. 337-354.

Bozeman, B., Fay, D. and Slade, C. (2013), “Research collaboration in universities and academic entrepreneurship: the-state-of-the-art”, The Journal of Technology Transfer, Vol. 38, pp. 1-67.

Bruneel, J., D'Este, P. and Salter, A. (2010), “Investigating the factors that diminish the barriers to university–industry collaboration”, Research Policy, Vol. 39, pp. 858-868.

Burnell, L., Priest, J. and Durrett, J. (2004), “Developing and maintaining knowledge management systems for dynamic, complex Domains”, Creating Knowledge Based Organizations, Igi Global, pp. 203-229.

Cabrera, A. and Cabrera, E.F. (2002), “Knowledge-sharing dilemmas”, Organization Studies, Vol. 23 No. 5, pp. 687-710.

Carayannis, E. and Campbell, D. (2011), “Open innovation diplomacy and a 21st century fractal research, education and innovation (FREIE) ecosystem: building on the quadruple and quintuple helix innovation concepts and the ‘Mode 3’ knowledge production system”, Journal of the Knowledge Economy, Vol. 2, pp. 327-372.

Chatterton, P. (2000), “The cultural role of universities in the community: revisiting the university—community debate”, Environment and Planning A, Vol. 32 No. 1, pp. 165-181.

Chatterton, P. and Goddard, J. (2000), “The response of higher education institutions to regional needs”, European Journal of Education, Vol. 35 No. 4, pp. 475-496.

Cheng, M., Ho, J. and Lau, P. (2009), “Knowledge sharing in academic institutions: a study of multimedia university Malaysia”, Electronic Journal of Knowledge Management, Vol. 7 No. 3, pp. 313-324.

Chow, W. and Chan, L. (2008), “Social network, social trust and shared goals in organizational knowledge sharing”, Information and Management, Vol. 45 No. 7, pp. 458-465.

Clobridge, A. (2013), Defining Knowledge Management, Clobridge Consulting Website, available at: http://clobridgeconsulting.com/defining-knowledge-management.

Courtney, H. (2003), “Decision‐driven scenarios for assessing four levels of uncertainty”, Strategy and Leadership, Vol. 31 No. 1, pp. 14-22.

Dearstyne, B. (2007), “The FDNY on 9/11: information and decision making in crisis”, Government Information Quarterly, Vol. 24 No. 1, pp. 29-46.

Debowsky, S. (2006), Knowledge Management, John Wiley.

D'Auria, G. and De Smet, A. (2020), Leadership in a Crisis: Responding to Coronavirus Outbreak and Future Challenges, McKinsey & Company, available at: https://www.mckinsey.com/business-functions/organization/our-insights/leadership-in-a-crisis-responding-to-the-coronavirus-outbreak-and-future-challenges.

Epetimehin, F. and Fatoki, O. (2011), “The empirical analysis of the impact of inflation on the Nigeria insurance industry”, Journal of Emerging Trends in Economics and Management Sciences, Vol. 2 No. 6, pp. 454-460.

Faggian, A., Comunian, R., Jewell, S. and Kelly, U. (2013), “Bohemian graduates in the UK: disciplines and location determinants of creative careers”, Regional Studies, Vol. 47 No. 2, pp. 183-200.

Frost, A. (2014), “A synthesis of knowledge management failure factors”, Recuperado el, Vol. 22, pp. 1-22.

Fullwood, R., Rowley, J. and Delbridge, R. (2013), “Knowledge sharing amongst academics in UK universities”, Journal of Knowledge Management, Vol. 17 No. 1, pp. 123-136.

Galán-Muros, V. and Plewa, C. (2016), “What drives and inhibits university-business cooperation in Europe? A comprehensive assessment”, R&D Management, Vol. 46, pp. 369-382.

Gehl, R. (2015), “Sharing, knowledge management and big data: a partial genealogy of the data scientist”, European Journal of Cultural Studies, Vol. 18 Nos 4-5, pp. 413-428.

Geisler, E. and Wickramasinghe, N. (2015), Principles of Knowledge Management: Theory, Practice, and Cases, Routledge.

Goh, S. and Sandhu, M. (2013), “Knowledge sharing among Malaysian academics: influence of affective commitment and trust”, The Electronic Journal of Knowledge Management, Vol. 11 No. 1, pp. 38-48.

Gurteen, D. (1999), “Creating a knowledge sharing culture”, Knowledge Management Magazine, Vol. 2 No. 5, pp. 1-4.

Horwitch, M. and Armacost, R. (2002), “Helping knowledge management be all it can be”, (Knowledge Management), Journal of Business Strategy, Vol. 23 No. 3, pp. 26-31.

Hossain, L., Atkinson, S., D'eredita, M. and Wigand, R. (2013), “Towards a Mech-Organic Perspective for Knowledge Sharing Networks in Organisations”, UK Academy for Information Systems, Worcester College University of Oxford.

Howell, K. and Annansingh, F. (2013), “Knowledge generation and sharing in UK universities: a tale of two cultures?”, International Journal of Information Management, Vol. 33 No. 1, pp. 32-39.

Howitt, A. and Leonard, H. (2007), “Against desperate peril: high performance in emergency preparation and response”, in Gibbons, D.E. (Ed.), Communicable Crises: Prevention, Response, and Recovery in the Global Arena, Information Age Publishing.

Hsu, C. and Lin, J. (2008), “Acceptance of blog usage: the roles of technology acceptance, social influence and knowledge sharing motivation”, Information and Management, Vol. 45 No. 1, pp. 65-74.

Hubert, S. (1996), “Tacit knowledge: the key to the strategic aliment of intellectual capital”, Strategy and Leadership, Vol. 24 No. 2, pp. 10-16.

Hussein, A.-R. and Nassuora, A. (2011), “Jordanians student's attitudes and perceptions towards knowledge sharing in institutions of higher education institutions”, International Journal of Academic Research, Vol. 3 No. 4, pp. 401-405.

Hutton, J. (2019), Knowledge Accumulation from Disease Outbreak Response, Doctoral dissertation, University of Sussex.

Jennex, M. and Raman, M. (2009), “Knowledge management in support of crisis response”, International Journal of Information Systems for Crisis Response and Management (IJISCRAM), Vol. 1 No. 3, pp. 69-83.

Jeon, S., Kim, Y. and Koh, J. (2011), “Individual, social, and organizational contexts for active knowledge sharing in communities of practice”, Expert Systems with Applications, Vol. 38 No. 10, pp. 12423-12431.

Kankanhalli, A., Tanudidjaja, F., Sutanto, J. and Tan, B. (2003), “The role of IT in successful knowledge management initiatives”, Communications of the ACM, Vol. 46 No. 9, pp. 69-73.

Kellaway, L. (2006), “Why academics make an unfit subject for management”, Financial Times, Vol. 27.

Kim, S. and Ju, B. (2008), “An analysis of faculty perceptions: attitudes toward knowledge sharing and collaboration in an academic institution”, Library and Information Science Research, Vol. 30 No. 4, pp. 282-290.

Kozinets, R., Dolbec, P. and Earley, A. (2014), “Netnographic analysis: understanding culture through social media data”, The SAGE Handbook Of Qualitative Data Analysis, pp. 262-276.

Laycock, M. (2005), “Collaborating to compete: achieving effective knowledge sharing in organizations”, The Learning Organization, Vol. 12 No. 6, pp. 523-538.

Leitner, K. and Warden, C. (2004), “Managing and reporting knowledge-based resources and processes in research organisations: specifics, lessons learned and perspectives”, Management Accounting Research, Vol. 15 No. 1, pp. 33-51.

Leonard-Barton, D. (1998), Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation, Harvard Business Press, Boston, MA.

Levy, M. (2011), “Knowledge retention: minimizing organisational business loss”, Journal of Knowledge Management, Vol. 15 No. 4, pp. 582-600.

Liao, S. (2003), “Knowledge management technologies and applications—literature review from 1995 to 2002”, Expert Systems with Applications, Vol. 25 No. 2, pp. 155-164.

Magnier-Watanabe, R. and Senoo, D. (2010), “Shaping knowledge management: organization and national culture”, Journal of Knowledge Management, Vol. 14 No. 2, pp. 214-227.

Meyer, B. and Scholl, W. (2005), “A Comparison of paradigmatic views in knowledge management: an empirical case study on Shortcomings in KM”, Wirtschaftsinformatik 2005, Physica, Heidelberg, pp. 1003-1022.

Middlehurst, R. and Woodfield, S. (2006), “Quality review in distance learning: policy and practice in five countries”, Tertiary Education and Management, Vol. 12 No. 1, pp. 37-58.

Miller, K., McAdam, M. and McAdam, R. (2014), “The changing university business model: a stakeholder perspective”, R and D Management, Vol. 44, pp. 265-287.

Miller, K., McAdam, R., Moffett, S., Alexander, A. and Puthusserry, P. (2016), “Knowledge transfer in university quadruple helix ecosystems: an absorptive capacity perspective”, R&D Management, Vol. 46, pp. 383-399.

Nair, B. and Munusami, C. (2020), “Knowledge management practices”, Journal of Research in Innovative Teaching and Learning, Vol. 13 No. 2, pp. 174-190.

Nonaka, I. (1994), “A dynamic theory of organizational knowledge creation”, Organization Science, Vol. 5 No. 1, pp. 14-37.

Nova, N. and González, R. (2016), “Reframing coordination in knowledge transfer: a sociomaterial perspective”, International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management.

Orlikowski, W. (2007), “Sociomaterial practices: Exploring technology at work”, Organization Studies, Vol. 28 No. 9, pp. 1435-1448.

Paananen, S. (2020), “Sociomaterial relations and adaptive space in routine performance”, Management Learning, 1350507619896079.

PACEC (2012), “Strengthening the contribution of English higher education institutions to the innovation system: knowledge exchange and HEIF funding”, in HEFCE (Eed.), PACEC, Cambridge.

Perkmann, M., Tartari, V., McKelvey, M., Autio, E., Brostrom, A. and D'Este, P. (2013), “Academic engagement and commercialisation: a review of the literature on university-industry relations”, Research Policy, Vol. 42, pp. 423-442.

Ramachandran, S.D. (2013), “Knowledge management practices and enablers in public universities: a gap analysis”, Campus-Wide Information Systems, Vol. 30 No. 2, pp. 76-94.

Reid, F. (2003), “Creating a knowledge-sharing culture among diverse business units”, Employment Relations Today, Vol. 30 No. 3, p. 43.

Robert, B. and Lajtha, C. (2002), “A new approach to crisis management”, Journal of Contingencies and Crisis Management, Vol. 10 No. 4, pp. 181-191.

Rowley, J. (2000), “Is higher education ready for knowledge management?”, International Journal of Educational Management, Vol. 14 No. 7, pp. 325-333.

Santoro, G., Vrontis, D., Thrassou, A. and Dezi, L. (2018), “The Internet of Things: building a knowledge management system for open innovation and knowledge management capacity”, Technological Forecasting and Social Change, Vol. 136, pp. 347-354.

Seneviratne, K., Amaratunga, D., Haigh, R. and Pathirage, C. (2010), Knowledge Management for Disaster Resilience: Identification of Key Success Factors, CIB World Congress, Salford, pp. 138-150.

Sharma, R. and Dey, S. (2018), “Managing tacit and explicit knowledge”, In International Conference on Management and Information Systems September, Vol. 21, p. 22.

Shotter, J. (2013), “Reflections on sociomateriality and dialogicality in organization studies: from ‘inter-’ to ‘intra-thinking’ in performing practices”, How Matter Matters, pp. 32-57.

Siegel, D., Westhead, P. and Wright, M. (2003), “Assessing the impact of university science parks on research productivity: exploratory firm-level evidence from the United Kingdom”, International Journal of Industrial Organisation, Vol. 21 No. 9, pp. 1357-1369.

Steyn, G. (2004), “Harnessing the power of knowledge in higher education”, Higher Education, Vol. 124 No. 4, pp. 615-631.

The Guardian (2020), “Education hit hardest as coronavirus batters UK economy”, available at: https://www.theguardian.com/uk-news/2020/apr/15/watchdog-identifies-sectors-hit-hardest-by-covid-19-in-britain.

UK Universities (2017), “The industrial strategy and universities why universities matter for the North West”, available at: https://www.universitiesuk.ac.uk/policy-and-analysis/reports/Documents/2017/industrial-strategy-north-west.pdf.

Wong, K. (2005), Critical Success Factors for Implementing Knowledge Management in Small and Medium Enterprises, Industrial Management & Data Systems.

Zhang, D., Zhou, L. and Nunamaker, J.F. Jr (2002), “A knowledge management framework for the support of decision making in humanitarian assistance/disaster relief”, Knowledge and Information Systems, Vol. 4 No. 3, pp. 370-385.

Further reading

London Economics (2020), Impact of the Covid-19 Pandemic on University Finance, Report for the University and College Union, (April).

Office for Budget Responsibility (2020), Economic and Fiscal Outlook, (Report No.CP230).

Corresponding author

Farag Edghiem can be contacted at: f.edghiem@bolton.ac.uk

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