Intertwining of information systems and knowledge risk in the uncertain business environment
The knowledge risk can be defined as the probability and severity of adverse effects associated with any activity engaging or related somehow to the knowledge (Durst & Zieba, 2019). The operational dimension of knowledge risks pertains to all the risks arising from an organization's day-to-day operations and overall functioning, such as entering into collaborative agreements, outsourcing certain business functions, or applying incorrect or outdated knowledge during business operations (Adar & Wuchner, 2005; Durst, 2019). It is important to actively manage knowledge risks while acknowledging that some of them cannot be eliminated (Adar & Wuchner, 2005; Durst, 2019). Knowledge risk management, however, provides ways to deal with knowledge at risk, such as nowledge loss-the result of personnel removed, for example, by turnover or death, or any other reason that the person is no longer part of the organization or cannot be reached. The literature on knowledge management emphasises the positive aspects of the discipline; it hardly covers the negative aspects, such as when knowledge is misunderstood, repressed, or misused for personal or organisational reasons (Burgin & Mikkilineni, 2021; Di Vaio et al., 2021). Thus, in completing the loop, knowledge risks and knowledge risks management needs to be considered together rather than studied in silos. Furthermore, only a few studies attempt to explore the two together, and thus the literature on it remains fragmented primarily. Some studies have been conducted about knowledge loss (e.g., Norman, 2004; Parise, 2007; Schmitt et al., 2012); knowledge leakage (e.g., Ahmad et al., 2014; Annansingh, 2012; Mohamed et al., 2007; Parker, 2012); spillover effects (e.g., Fernandes and Ferreira 2013); privacy (e.g., Arshad & Ismail 2018; Hernaus et al. 2018; Wang et al. 2018), etc. Yet, studies combining knowledge risk, knowledge risk management, and information systems with an uncertain business environment by considering the ‘people’ and ‘processes’ seem to be an under-researched area in the literature.
Information systems (IS) have been exposed to a fast-changing environment (Arogundade et al., 2020). Information systems and knowledge risks play the central role in the uncertain business environment (Hammoda & Durst, 2022; Massingham, 2010). Knowledge has generally been seen as a positive asset that organizations ought to maximize. Nevertheless, several researchers recently argued that organizations must also consider knowledge risks, given the increasing number of these risks and the increasing complexity of organizational environment (Choi et al., 2021; Gioe & Hatfield, 2021; Nauhria et al., 2018). Some of the examples include knowledge concealment (Cooke & Leydesdorff, 2006; Saeidpoursarcheshmeh et al., 2021); the hoarding of knowledge (Oliveira et al., 2021), information and media illiteracy, fake data, cognitive and affective bias (Hopf et al., 2019 and unlearning or intentionally forgetting the learned facts (Albana & Yeşiltaş, 2021; Durst, 2019). Therefore, the focus on ‘people’ and ‘processes’ by intertwining of information systems and knowledge risk in the uncertain business environment is under researched as many authors suggests the need for identifying the antecedents, mediators, moderators, consequents, and control variables associated with information systems and knowledge risks while neglecting the two concepts of ‘people’ and ‘processes’ (Di Vaio et al., 2021; Gioe & Hatfield, 2021; Oliveira et al., 2021).
As an example, Anaza and Nowlin (2017) consider the importance of identifying the effects of recognition and financial rewards in knowledge risk management by focusing on people, while Gagné et al. (2019) emphasized the importance of measuring time pressure or excessive workload as a moderator by focusing processes. Hence, this special issue will reveal the management of possible information systems (IS) that may help to mitigate the knowledge risks in the unstable business environment by considering the dual aspects of ‘people’ and ‘processes’
The main aim of this special issue is to combine the information systems (IS) and knowledge risk in the uncertain business environment by considering the ‘people’ and ‘processes.’ Organizations are exposed to different knowledge risks (Lee et al., 2021). Recent researchers suggests that information systems and knowledge risk management tools play a main role in overcoming the risks in the uncertain business environment (Di Vaio et al., 2021; Gioe & Hatfield, 2021; Lee et al., 2017; Shabbir & Gardezi, 2020). To understand the difference between knowledge management and information management, it is best to say that knowledge management focuses on people (Burgin & Mikkilineni, 2021; Mbassegue et al., 2016) while information management focuses on processes (Lee et al., 2017; Mbassegue et al., 2016). However, recent researchers have not responded to these two concepts of information systems and knowledge risk in the uncertain business environment by considering the ‘people’ and ‘processes’ (Choi et al., 2021; Di Vaio et al., 2021; Shabbir & Gardezi, 2020). Therefore, this special issue will be of significant importance to the practitioners and policymakers within academic institutions by allowing them to understand the combined effect of information systems and knowledge risks in the uncertain business environment by considering the dual aspects of ‘people’ and ‘processes’.
Topics of interest may include, but are not limited to:
The dark side of knowledge management in determining the factors with effective use of advanced technological innovations.
The role of digital innovation in managing the dark side of the knowledge management systems of the firms
Theoretical advancements of knowledge risk and information systems in times of risks and uncertainties.
Novel mechanisms for business analytics value creation by mitigating the dark side of knowledge management
Determining the factors leading to the dark side of knowledge management in the development of Data-Intensive Systems within the firms
The dark side of knowledge management to increase the business value of cognitive analytics technology through effective use of data analytics
The dark side of knowledge management which decreases the firm-level efficiency in product development/ innovation through effective use of data analytics
Curbing and controlling false information and knowledge creation systems and processes for improving system efficiency
Role of firm-based IS when dealing with knowledge loss, knowledge leakage, spillover effects, and privacy concerns of the firm.
Issue related to information and media illiteracy; fake data; cognitive and affective bias and ignorance.
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Submissions to the special issue should be sent electronically through the “VINE Journal of Information and Knowledge Management Systems” ScholarOne System. The manuscripts must be prepared in accordance with the guidelines for authors given in the website of the journal “VINE Journal of Information and Knowledge Management Systems”: https://mc.manuscriptcentral.com/vjikms
Authors need to clearly indicate in their submission information and letter that their manuscript is for the Special Issue on “Intertwining of information systems and knowledge risk in the uncertain business environment” All submissions will be subject to a double-blind review process followed by “VINE Journal of Information and Knowledge Management Systems” Journal. All manuscripts must be original, unpublished works that are not concurrently under review for publication elsewhere. Questions about this special issue may be directed to the guest editors.
Interested authors are welcome to discuss their research ideas in the form of an extended abstract by contacting the guest editors. The abstract should be written keeping in mind the style of Emerald. The idea of proposing an abstract is share preliminary feedback to the interested authors.
For any questions, interested authors can contact the corresponding guest editor:
Abhishek Behl; [email protected]
Submission Due Date: September 15th, 2022
First Round Reviews: November 10th, 2022
Revisions due: December 30th, 2022
Second Round Decision: Feb 15th, 2023
Final Editorial Decision: April 30th, 2023
Expected Publication: second half of 2023
Management Development Institute, Gurgaon, India
University of North Florida, USA
Birla Institute of Technology and Science, Pilani, India