Cognitive Computing Systems (CCSs) are increasing in prominence in the public sector. This paper develops a framework drawing on public value and information technology service management literature to guide the management of CCSs in the public sector. We draw on academic literature, gray literature, legislation and government reports, and examples on CCS initiatives in the public sector to develop insights for research and practice. We then outline the themes and present the insights in the form of guiding principles and specific (detailed) recommendations. These include guiding principles and recommendations for establishing legitimacy, understanding the required capabilities, executing capabilities, creating and measuring public value.
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New paper published in Decision Support Systems.
Little is known about how organizations leverage business analytics (BA) to develop, process, and exploit analytical information in cybersecurity incident response (CSIR). Drawing on information processing theory (IPT), we conducted a field study using a multiple case study design to answer the following research question: How do organizations exploit analytical information in the process of cybersecurity incident response by using business analytics? We developed a theoretical framework that explains how organizations respond to the dynamic cyber threat environment by exploiting analytical information processing capability in the CSIR process. This, in turn, leads to positive outcomes in enterprise security performance, delivering both strategic and financial benefits. Our findings contribute to the BA and cybersecurity literature by providing useful insights into BA applications and the facilitation of analytics-driven decision making in CSIR. Further, they contribute to IPT by providing new insights about analytical information needs, mechanisms to seek analytical information, and analytical information use in the process of CSIR.
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Pathways to the Making of Prosperous Smart Cities: An Exploratory Study on the Best Practice
In this paper, we examine the understudied issue of the pathways to smart cities. While the extant literature on smart cities offers several insights into what smart cities are, with a few notable exceptions, it has less to say about how they come to be. With this latter question in mind, we identify three pathways to smart cities: (1) a greenfield development pathway, (2) a neighborhood development pathway, and (3) a platform-oriented platform. Drawing on nine different case studies, we offer some insights into the way in which each of these pathways is, more or less, able to realize the desired smart-city objectives. While exploratory in nature, the study offers unique insights into the pathways to smart cities as well as areas for future research.
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