Attention-shaping tools, expertise, and perceived control in IT project risk assessment

Du, Stephen; Keil, Mark; Mathiassen, Lars; Shen, Yide; Tiwana, Amrit

doi:10.1016/j.dss.2006.10.002

Cited by 38 publications

(31 citation statements)

References 30 publications

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“…This lack of control results in increased public perceived risk. Nordgren, Pligt, and Harreveld (2007) and Du, Keil, Mathiassen, Shen and Tiwana (2007) agree with Lester concluding that level of control is a major determinant of risk perception level. The more control individuals have, the lower the risk perception.…”

Section: Amount Of Controlsupporting

confidence: 54%

SMS Derived vs. Public Perceived Risk in Aviation Technology Acceptance (Literature Review)

Myers¹

2016

IJAAA

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Section: Amount Of Controlsupporting

confidence: 54%

SMS Derived vs. Public Perceived Risk in Aviation Technology Acceptance (Literature Review)

Myers¹

2016

IJAAA

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“…Following the expected utility formula in EUT, many have done so by multiplying the measured probability (or uncertainty) and impact values (Barki et al, 1993;Baskerville & Stage, 1996;Boehm, 1991;Charette, 1996a), thus creating a multiplicative multidimensional construct (Law, Wong, & Mobley, 1998). This can be done by a manual calculation or using a software tool that embeds the formulae (e.g., Du, Keil, Mathiassen, Shen, & Tiwana, 2007).…”

Section: Figure 2 -A Synthesis Of the Conceptualizations And Operatiomentioning

confidence: 99%

“…Drawing from Sitkin and Pablo (1992), researchers have defined perceived risk as "the belief that there exist sources of risk with potential to adversely affect project outcomes" (Du et al, 2007, p. 272). Like the notion of risk exposure, risk perception has been conceptualized as reflecting both the probability of undesired events and the loss associated with their occurrence (Du et al, 2007). There are indications, however, of the difference between the risk perceptions of ITPMs and risk exposure as defined in the normative body of knowledge.…”

Section: Core Constructsmentioning

confidence: 99%

Sublating Tensions in the IT Project Risk Management Literature: A Model of the Relative Performance of Intuition and Deliberate Analysis for Risk Assessment

Moeini¹,

Rivard²

2019

JAIS

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Article (Accepted Version)http://sro.sussex.ac.uk Moeini, Mohammad and Rivard, Suzanne (2018) Sublating tensions in the IT project risk management literature: a model of the relative performance of intuition and deliberate analysis for risk assessment. AbstractThe information technology (IT) project risk management literature comprises two dominant but diverging bodies of knowledge: the normative and the experiential. We conducted a threestep dialectical review of this literature with the aim of creating a bridging body of knowledge. In the first step, delineation, we synthesize the overarching variance and process explanations in each body of knowledge and motivate the examination of their divergences. In the second step, contrastation, we perform a dialectical interrogation of these bodies to articulate their key assumption-level tensions. We elaborate on the most prominent tension between the two bodies, namely, the relative performance of intuition and deliberate analysis for project risk assessment.In the third step, sublation, we propose a theoretical model that resolves this tension. Anchored in both bodies of knowledge and drawing from managerial decision-making research, the model proposes that the relative performance of intuition depends on characteristics of the IT project manager (project-specific expertise), the project (risks' temporal complexity and risks' structural complexity), and the project's organizational environment (e.g., stakeholders' involvement in risk management, methods-using pressures). Moreover, the model posits that project-specific expertise moderates all the other effects. Building on the bridging knowledge insights from this model, we discuss how researchers can design interventions to increase project managers' use of deliberate analysis when it is expected to outperform intuition or to encourage reliance on intuition when it is likely to outperform deliberate analysis.This resulted in identifying 268 papers (Table 1). We then read the abstracts, introductions, and conclusions of these papers and included those that focused on: (1) ITPMs, as they have risk management as part of their function (PMI, 2013); (2) in-house-not outsourced-IT projects, to limit the variation on the nature of risk management and the role of ITPMs; and (3) project risks,

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“…To compete with a complex situation and benefit from different control styles, individuals conduct controls through not only themselves acting as a control agent (direct control) but also other control agents (indirect control) in order to control a desired outcome such as privacy protection [15,21]. Both direct and indirect controls influence an individual's perceived control over a certain situation [12].…”

Section: Privacy Control In a Cloud Environmentmentioning

confidence: 99%

“…For example, perceived control has been identified as a powerful factor that influences an individual's risk perception and IT decision-making during IT projects [12]. The conceptualization of perceived control is therefore a cognitive construct, and as such it may be subjective [27].…”

Section: Types Of Control Agents In Cloud Computingmentioning

confidence: 99%

Perceived Control and Privacy in a Professional Cloud Environment

Lang

Wiesche

Krcmar

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Attention-shaping tools, expertise, and perceived control in IT project risk assessment

Cited by 38 publications

References 30 publications

SMS Derived vs. Public Perceived Risk in Aviation Technology Acceptance (Literature Review)

SMS Derived vs. Public Perceived Risk in Aviation Technology Acceptance (Literature Review)

Sublating Tensions in the IT Project Risk Management Literature: A Model of the Relative Performance of Intuition and Deliberate Analysis for Risk Assessment

Perceived Control and Privacy in a Professional Cloud Environment

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