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Control-style choices and performance impacts: How should senior IS managers enact control over uncertain IS projects?
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2023 | Decision Support Systems | Citations: 0
Authors: Wiener, Martin; Cram, W. Alec; Remus, Ulrich; Mähring, Magnus

Abstract: Information systems (IS) projects are notoriously difficult to control, especial ... Expand

Abstract: Information systems (IS) projects are notoriously difficult to control, especially under conditions of uncertainty. This difficulty is particularly pronounced for senior IS managers, such as CIOs and IT Vice Presidents, who tend to have scarce time and limited project-related knowledge but are ultimately held accountable for IS project performance. Focusing on this under-researched controller category, the study at hand contributes new insights into the enactment of controls by exploring how IS project uncertainty affects senior IS managers’ control-style choices, as well as how it moderates the impact of such choices on process and product performance. Based on a survey of 150 senior IS managers, we find that IS project uncertainty increases managers’ use of an authoritative control style but is unrelated to their use of an enabling control style. Further, in IS projects characterized by uncertainty, an authoritative control style is found to be effective for process performance, whereas an enabling style is found to be effective for product performance. Moreover, the results of a post-hoc analysis show that using the two control styles simultaneously under uncertainty delivers no discernible benefits, suggesting a decision-related control dilemma. Theoretical and practical implications are discussed. Collapse

Semantic filters: construct operationalization confounding variable

Topics: IT project IT manager project productivity decision support system IT skill

Methods: survey statistical hypothesis test post-hoc analysis PLS tool descriptive statistic

Theories: control theory
How and why trust matters in post-adoptive usage: The mediating roles of internal and external self-efficacy
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2018 | Journal of Strategic Information Systems | Citations: 0
Authors: Tams, Stefan; Thatcher, Jason Bennett; Craig, Kevin

Abstract: Since the underutilization of technology often prevents organizations from reapi ... Expand

Abstract: Since the underutilization of technology often prevents organizations from reaping expected benefits from IT investments, an increasing body of literature studies how to elicit value-added, post-adoptive IT use behaviors. Such behaviors include extended and innovative feature use, both of which are exploratory in nature and can lead to improved work performance. Since these exploratory behaviors can be risky, research has directed attention to trust in technology as an antecedent to post-adoptive IT use. In parallel, research has examined how computer self-efficacy relates to post-adoptive IT use. While such research has found that both trust and efficacy can lead to value-added IT use and that they might do so interdependently, scant research has examined the interplay between these antecedents to post-adoptive IT use. Drawing on the Model of Proactive Work Behavior with a focus on its predictions about trust and efficacy, we develop a research model that integrates trust in technology and computer self-efficacy in the post-adoption context. Our model suggests that the two concepts are interdependent such that trust-related impacts on post-adoptive use behaviors unfold via computer-related self-efficacy beliefs. Contemporary tests of mediation on data from more than 350 respondents provided support for our model. Hence, our findings begin to open the black box by which trust-related impacts on post-adoptive behaviors unfold, revealing computer self-efficacy as an important mediating factor. In doing so, this study furthers understanding of how, and why, trust matters in post-adoptive usage, enabling strategic change management by elucidating the “fit” between technological characteristics and post-adoptive usage. Collapse

Semantic filters: construct operationalization confounding variable

Topics: information system use self efficacy spreadsheet IS impact electronic commerce

Methods: partial least squares regression mediation analysis data transformation factor analysis survey design

Theories: technology acceptance model social cognitive theory

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Control-style choices and performance impacts: How should senior IS managers enact control over uncertain IS projects?

How and why trust matters in post-adoptive usage: The mediating roles of internal and external self-efficacy