Shadow IT – Systematic Literature Review

Raković, Lazar

doi:10.5755/j01.itc.49.1.23801

Cited by 12 publications

(17 citation statements)

References 28 publications

(64 reference statements)

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“…Existing literature [42] indicates that governing shadow IT or, more generally, the usage of personal IT space is unlikely to be beneficial for both organizations and users without some sort of dialogue. One survey [43] of three private and two public companies has also identified how hard it is to come to an agreement between an organization and its employees when users are very selective in what policy and regulation details they are willing to accept.…”

Section: Personal Devices and Shadow It Byodmentioning

confidence: 99%

“…There are also a number of open research directions [42] that can be identified for future shadow IT research, e.g., exploring generation Z's attitudes and behaviors towards shadow IT.…”

Section: Personal Devices and Shadow It Byodmentioning

confidence: 99%

“…Prior work [42] has identified several directions for future shadow IT research, including user attitudes to shadow IT strengths and weaknesses or Generation Z's specific attitudes and behaviors. The governing of shadow IT or, more generally, the use of personal IT space is unlikely to be optimal for both organizations and users without some sort of dialogue.…”

Section: Personal Device Usage and Byodmentioning

confidence: 99%

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Work Experience as a Factor in Cyber-Security Risk Awareness: A Survey Study with University Students

Pósa

Großklags

2022

JCP

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The emergence of the COVID-19 pandemic in early 2020 has transformed how individuals work and learn and how they can apply cyber-security requirements in their, mostly remote, environments. This transformation also affected the university student population; some needed to adjust to new remote work settings, and all needed to adjust to the new remote study environment. In this online research study, we surveyed a large number of university students (n = 798) to understand their expectations in terms of support and help for this new remote work and study environment. We also asked students to report on their practices regarding remote location and Wi-Fi security settings, smart home device usage, BYOD (bring your own device) and personal device usage and social engineering threats, which can all lead to compromised security. A key aspect of our work is a comparison between the practices of students having work experience with the practices of students having no such additional experience. We identified that both the expectations and the level of cyber-security awareness differ significantly between the two student populations and that cyber-security awareness is increased by work experience. Work experience students are more aware of the cyber-security risks associated with a remote environment, and a higher portion of them know the dedicated employee whom they can contact in the event of incidents. We present the organizational security practices through the lens of employees with initial work experience, contributing to a topic that has so far received only limited attention from researchers. We provide recommendations for remote study settings and also for remote work environments, especially where the existing research literature survey results differ from the findings of our survey.

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Section: Personal Devices and Shadow It Byodmentioning

confidence: 99%

“…There are also a number of open research directions [42] that can be identified for future shadow IT research, e.g., exploring generation Z's attitudes and behaviors towards shadow IT.…”

Section: Personal Devices and Shadow It Byodmentioning

confidence: 99%

Section: Personal Device Usage and Byodmentioning

confidence: 99%

See 1 more Smart Citation

Work Experience as a Factor in Cyber-Security Risk Awareness: A Survey Study with University Students

Pósa

Großklags

2022

JCP

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“…Association rules (AR) method involves constructing associative rules on the excessiveness of available data [20,22]. Firstly, all received rules are sorted by some parameter (for example, authenticity).…”

Section: Methods Of Imputation (Restoration Filling)mentioning

confidence: 99%

A New Approach for Missing Data Imputation in Big Data Interface

Wang

Shakhovska

Sachenko

et al. 2020

ITC

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The three-stage approach for missing data imputation in Big data interface is proposed in the paper. The first stage includes designing the Big data model in the task of missing data recovery, which enables to process the structured and semistructured data. The next stage is developing the method of missing data recovery based on functional dependencies and association rules. The estimating the algorithm complexity for missing data recovery is provided at the last stage. The proposed method of missing data recovery creates additional data values using a based domain and functional dependencies and adds these values in available training data. The performing the analysis of data different types is possible too. The correctness of the imputed values is verified on the classifier built on the original dataset. The proposed method performs in 12% better than the EM and RF methods for 30% missing data and enables the parallel execution in distributed databases. The acceleration for m=41 attributes is larger in 12.5 times for 20 servers (processors) comparing with the non-parallel modeю

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“…That might be nonexistent when it comes to investigating mobile shadow IT usage. Besides, Raković et al (2020) conducted a systematic literature review to show to which extent shadow IT has been researched. This area has not yet received the necessary attention from both academia and business.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of mobile shadow IT usage on knowledge protection: an exploratory study

Abbas

Alghail²

2021

VJIKMS

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Purpose The mobile shadow information technology (IT) phenomenon is both completely misunderstood and negatively explored by those participating inside the organizational ecosystem. It represents all internet-based software, any other solutions for communications or employees’ sharing without any formal authorization or approval from the IT department. Such behavior can lead to a security breach of the organization’s data privacy, as these risks could disseminate it without the organization fully knowing. Recent research identifies that shadow IT is rarely covered from the knowledge sharing and knowledge protection (KP) perspective. This paper aims to provide an insight on how mobile shadow IT as a phenomenon could impact KP of an organization as a whole. Design/methodology/approach This is an exploratory study based on a qualitative approach. The authors conducted interviews with 11 IT users to answer the main research question. The interview guidelines were divided into three parts: types of mobile shadow IT and occurrence; KP nature in the workplace; and mobile shadow IT impact on KP. Findings The research findings identified that most interviewees use mobile shadow IT without any notice or permission from their IT departments. This sharing also negatively impacts the KP in the organization. The most common mobile shadow IT applications are the clouded type like Dropbox, Google Drive and WhatsApp. Interviewees are using mobile shadow IT mainly because organizations do not provide suitable tools to communicate efficiently. The authors concluded that mobile shadow IT harms KP with no security and privacy on what is being shared because this process is unmonitored by the organization. Practical implications For adequate knowledge and data protection, IT departments need to take more actions and efforts. This study can help IT decision-makers cope with the technology changes while understanding mobile shadow IT impacts. This study also offers insight regarding types of applications that can be used as an alternative tool for employees rather than using unauthorized applications. This research shows that medium-sized organizations are free to use these applications, which can cause damage to organizations. Originality/value This research is arguably among the first to explore the interviewees’ perspectives on how mobile shadow IT impacts KP. This paper also provides theoretical and practical insights by identifying the three primary constructs and how mobile shadow IT usage can affect KP.

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Shadow IT – Systematic Literature Review

Cited by 12 publications

References 28 publications

Work Experience as a Factor in Cyber-Security Risk Awareness: A Survey Study with University Students

Work Experience as a Factor in Cyber-Security Risk Awareness: A Survey Study with University Students

A New Approach for Missing Data Imputation in Big Data Interface

The impact of mobile shadow IT usage on knowledge protection: an exploratory study

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