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Attention to Digital Innovation: Exploring the Impact of a Chief Information Officer in the Top Management Team

2023 | Management Information Systems Quarterly | Citations: 0
Authors: Bendig, David; Wagner, Robin; Piening, Erk; Foege, Johann

Abstract: We draw on the attention-based view of the firm to examine whether and when the ... Expand

Abstract: We draw on the attention-based view of the firm to examine whether and when the presence of a CIO in the TMT has a positive effect on both firms' ideated digital innovation (IDI) (i.e., the intensity of firms' digital patenting activity) and commercialized digital innovation (CDI) (i.e., the digital sophistication of firms' new products). Building on the idea that attention processes are context dependent, we also explore the moderating roles of CEO characteristics (IT background and role tenure) as well as environmental characteristics (the industry's IT attention). We analyze data from a cross-industry panel of U.S. S&P 500 firms over eight years that includes up to 2,852 firm-year observations. The results indicate that CIO presence in the TMT is positively related to a firm's IDI and CDI. Furthermore, they show that the organizational context related to CEO characteristics moderates the CIO-CDI relationship and that the environmental context related to the industry's IT attention moderates the CIO-IDI relationship. Our research contributes to the information systems literature by providing robust evidence that CIO presence in the TMT positively influences a firm's digital innovation outcomes, showing how internal and external boundary conditions affect the work of CIOs, and elaborating the role of managerial attention as an underlying mechanism explaining digital innovation. Collapse

Semantic filters: research model non volatile memory

Topics: Chief Information Officer innovation management digital innovation research and development IT investment

Methods: regression analysis method theory development instrumental variables estimation Compustat descriptive statistic
Impact of Network Structure on Malware Propagation: A Growth Curve Perspective
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2016 | Journal of Management Information Systems | Citations: 4
Authors: Guo, Hong; Cheng, Hsing Kenneth; Kelley, Ken

Abstract: Malicious software, commonly termed “malware,” continuously presents one of the ... Expand

Abstract: Malicious software, commonly termed “malware,” continuously presents one of the top security concerns, and causes tremendous worldwide financial losses for organizations. In this paper, we propose a structural risk model to analyze malware propagation dynamics measured by a four-parameter (asymptote, point of inflection, rate, and infection proportion at inflection) growth curve. Using both social network data and technological network infrastructure from a large organization, we estimate the proposed structural risk model based on incident-specific nonlinear growth curves. This paper provides empirical evidence for the explanatory power of the structural characteristics of the underlying networks on malware propagation dynamics. This research provides useful findings for security managers in designing their malware defense strategies. We also simulate three common malware defense strategies (preselected immunization strategies, countermeasure dissemination strategies, and security awareness programs) based on the proposed structural risk model and show that they outperform existing strategies in terms of reducing the size of malware infection. Collapse

Semantic filters: research model non volatile memory

Topics: malware social network logistics management MySpace IT security

Methods: simulation regression analysis method descriptive statistic network analysis computational algorithm

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Attention to Digital Innovation: Exploring the Impact of a Chief Information Officer in the Top Management Team

Impact of Network Structure on Malware Propagation: A Growth Curve Perspective