Deliberate storytelling in big data analytics adoption

Boldosova, Valeriia

doi:10.1111/isj.12244

Cited by 25 publications

(28 citation statements)

References 67 publications

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“…We coded the concepts independently, such as ‘policy length’ and ‘policy clarity’, but as we continued our analysis, we began to recognize a pattern that was being highlighted by interviewees in regard to the overall method their organizations used to communicate security policy requirements, which also included related concepts such as ‘communication medium’ and ‘communication format’. As a result, we followed the technique used by Boldosova (2019), Corley and Gioia (2004), and Wessel et al (2019) by grouping the lower level, first‐order concepts within a broader, second‐order sub‐category, in this case pertaining to the ‘method of communicating security policy requirements’. These sub‐categories were then combined to form aggregate categories.…”

Section: Methodsmentioning

confidence: 99%

When enough is enough: Investigating the antecedents and consequences of information security fatigue

Cram

Proudfoot

D’Arcy

2020

Information Systems Journal

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Despite concerns raised by practitioners, the potential downside of the information security demands imposed by organizations on their employees has received limited scholarly attention. Our research focuses on information security fatigue (hereafter security fatigue), which is defined as a socio‐emotional state experienced by an individual who is tired of and disillusioned with security policies and their associated guidelines and procedures. This research delves into the security fatigue concept, investigates its antecedents and reports how fatigue affects employee security policy compliance (and non‐compliance). Since security fatigue is not well articulated in the literature and there is limited understanding of its antecedents and consequences, we take a research approach that affords novel insight into this phenomenon. Specifically, we conduct 38 in‐depth interviews with business and IT professionals, and then use a qualitative approach to construct a model, including seven research propositions, to highlight the key aspects of security fatigue. Our results indicate that four distinct antecedents contribute to security fatigue, which result in three unique consequences. We discuss security fatigue in relation to past theoretical views and related concepts within the security policy compliance literature and identify directions for future research.

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Section: Methodsmentioning

confidence: 99%

When enough is enough: Investigating the antecedents and consequences of information security fatigue

Cram

Proudfoot

D’Arcy

2020

Information Systems Journal

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“…As business complexity and uncertainty increase, firms rely to a lesser extent on existing knowledge and instead attempt to rapidly create new knowledge (Chen et al, 2012; Ma & Agarwal, 2007; Majchrzak & Malhotra, 2016); this condition enhances the importance of and reliance on big data for firm success. Importantly, the new insights and knowledge obtained from big data can serve to improve firm decision‐making quality (Boldosova, 2019; Brown, Abbasi, & Lau, 2015; Ghasemaghaei et al, 2018) and the value extracted from big data (Cavaliere, Lombardi, & Giustiniano, 2015). Therefore, big data is an important input or resource for knowledge creation (Côrte‐Real, Oliveira, & Ruivo, 2017).…”

Section: Conceptual Backgroundmentioning

confidence: 99%

Possible negative effects of big data on decision quality in firms: The role of knowledge hiding behaviours

Ghasemaghaei

Turel

2020

Information Systems Journal

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While common wisdom suggests that big data facilitates better decisions, we posit that it may not always be the case, as big data aspects can also afford and motivate knowledge hiding. To examine this possibility, we integrate adaptive cost theory with the resource‐based view of the firm. This integration suggests that the effect of big data characteristics (i.e., data variety, volume, and velocity) on firm decision quality can be explained, in part, by data analysts' perceived knowledge hiding behaviours, including evasive hiding, playing dumb, and rationalized hiding. We examined this model with survey data from 149 data analysts in firms that use big data to varying degrees. The findings show that big data characteristics have distinct effects on knowledge hiding behaviours. While data volume and velocity enhance knowledge hiding, data variety reduces it. Moreover, evasive hiding, playing dumb, and rationalized hiding have varying effects on firm decision quality. Whereas evasive hiding reduces firm decision‐making quality, playing dumb does not affect it, and rationalized hiding improves it. These results are further validated with applicability checks. Ultimately, these results can explain inconsistent past findings regarding the return on investment in big data and provide a unique look into the potential “dark sides” of big data.

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“…In (11), the nodes of a top network come from these subnetworks. In (12), an operator computes the edge set between the nodes of two networks. In ( 13) and ( 14), if there are edges between two networks, an edge is added to the edge set of the top network.…”

Section: Complexitymentioning

confidence: 99%

“…In the era of big data, the bridge of data and qualitative methods emerge in industries [11]. Data storytelling case studies become a vital stream of qualitative researches [12,13]. In this study, we take the Japanese maritime network in the global maritime network and interact with various other maritime networks as a case that consists of a series of analysis driven by the data system and network analysis methods (see Section 3).…”

Section: Introductionmentioning

confidence: 99%

Analyzing Interactions between Japanese Ports and the Maritime Silk Road Based on Complex Networks

Liu

Lee

2020

Complexity

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This article considers how the Japanese ports interact with the ports of China and along the 21st century Maritime Silk Road (MSR) while they are embedded in the global port network, especially in the context of China’s Belt and Road Initiative. At a port level, it primarily uses connectivity analysis to analyze the port relations and significances in the maritime network. In contrast, at the network level, it applies the methods from network sciences to analyze the significances of these maritime networks and the interactions among the maritime networks of Japan, China, and MSR. This article extracts a large-scale maritime network from ports and vessels’ profiles and data of vessels’ Automatic Identification System (AIS). It then examines the relations among the networks (including Japan, China, MSR, and global ports) after defining the maritime networks, network generation schemes, and port network analysis tools. Based on the analysis results and findings, this study draws some implications for regional ports and shipping development and the global supply network.

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Deliberate storytelling in big data analytics adoption

Cited by 25 publications

References 67 publications

When enough is enough: Investigating the antecedents and consequences of information security fatigue

When enough is enough: Investigating the antecedents and consequences of information security fatigue

Possible negative effects of big data on decision quality in firms: The role of knowledge hiding behaviours

Analyzing Interactions between Japanese Ports and the Maritime Silk Road Based on Complex Networks

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