Two papers accepted at the International Conference on Information Systems (ICIS) 2020
Two papers of the cii research group have been accepted at the 41th International Conference on Information Systems (ICIS), which will take place virtually, December 13-16, 2020.
“Toward Uncovering Patterns of Certification Internalization” by Malte Greulich, Sebastian Lins, and Ali Sunyaev
Abstract: The number and variety of information systems (IS) certifications have increased continuously as the use of information technology has diversified and expanded. IS certifications are neutral third-party attestations of specific system characteristics and management principles to prove compliance with requirements. The reasons for organizations to adopt IS certifications are diverse, such as fostering learning and improvement, or demonstrating regulatory compliance. However, because of organizations’ diverse motivations to adopt certifications, organizations also differ in their degree of internalizing the certification. In particular, superficial, ceremonial adoption and a lack of internalization of certifications become critical issues harming the certification’s reputation and effectiveness. This short paper reports on preliminary findings from a qualitative study on the development of a data protection certification. Based on unique access to case companies throughout the certification attestation process, our research will provide insights into how motivations for adoption impact the internalization processes of organizations.
“Social Comparison in mHealth: The Role of Similar Others and Feelings of Envy” by Monica Fallon, Manuel Schmidt-Kraepelin, Scott Thiebes, Simon Warsinsky, and Ali Sunyaev
Abstract: To foster ambitious goal setting, mHealth app developers increasingly implement social comparison features such as leaderboards. However, extant research does not sufficiently look at affective consequences of such features and their impact on goal- setting behavior. We focus on two aspects of social comparison to better address this issue: (1) the similarity of comparison targets and (2) the affective consequence of envy. We distinguish between two similarity dimensions (performance and related attributes) and two distinct emotions of envy (benign and malicious). In an experimental study, we find that comparing to targets similar on related attributes (age and gender) determines the relevance of the comparison and positively impacts benign and malicious envy. We further show that comparing to targets similar in performance (step count) decreases malicious envy and increases benign envy, based on appraisals of perceived control. Moreover, benign and malicious envy differentially impact goal-setting behavior.
From the research group Critical Information Infrastructures