TY  - CHAP
A1  - Abramova, Olga
A1  - Gundlach, Jana
A1  - Bilda, Juliane
T1  - Understanding the role of newsfeed clutter in stereotype activation
BT  - the case of Facebook
T2  - PACIS 2021 proceedings
N2  - Despite the phenomenal growth of Big Data Analytics in the last few years, little research is done to explicate the relationship between Big Data Analytics Capability (BDAC) and indirect strategic value derived from such digital capabilities. We attempt to address this gap by proposing a conceptual model of the BDAC - Innovation relationship using dynamic capability theory. The work expands on BDAC business value research and extends the nominal research done on BDAC – innovation. We focus on BDAC's relationship with different innovation objects, namely product, business process, and business model innovation, impacting all value chain activities. The insights gained will stimulate academic and practitioner interest in explicating strategic value generated from BDAC and serve as a framework for future research on the subject
Y1  - 2021
UR  - https://aisel.aisnet.org/pacis2021/79
SN  - 978-1-7336325-7-7
IS  - 473
PB  - AIS Electronic Library (AISeL)
CY  - [Erscheinungsort nicht ermittelbar]
ER  - 
TY  - CHAP
A1  - Gundlach, Jana
A1  - Köster, Antonia
A1  - Krasnova, Hanna
A1  - Tarafdar, Monideepa
T1  - How messy is your news feed
BT  - perceived disorder as a novel stressor
T2  - Proceedings of the 28th European Conference on Information Systems (ECIS) : ECIS 2020 Research Papers
N2  - Social Networking Sites (SNSs) are pervasive in our daily lives. However, emerging reports suggest that people are increasingly dissatisfied with their experience of SNSs News Feeds. Motivated by the cognitive load theory, the paper postulates that arrangement and presentation of information are important constituents of one’s Facebook News Feed experience. Integrating these factors into the novel concept of ‘perceived disorder’, this paper hypothesizes that the perception of disorder elicited by the Facebook News Feed plays an important role in causing discontinuance intentions. Drawing on the Stressor-Strain-Outcome Model, we suggest that perceived disorder leads to SNS discontinuance intention and is partially mediated by SNS fatigue. The paper uses the responses of 268 Facebook users to investigate these relationships and introduces perceived disorder as a novel stressor. Besides adding to the existing body of literature, these insights are of relevance to internet service providers, policy makers and SNS users.
Y1  - 2020
UR  - https://aisel.aisnet.org/ecis2020_rp/101
PB  - AIS Electronic Library (AISeL)
CY  - [Erscheinungsort nicht ermittelbar]
ER  - 
TY  - CHAP
A1  - Krasnova, Hanna
A1  - Gundlach, Jana
A1  - Baumann, Annika
T1  - Coming back for more
BT  - the effect of news feed serendipity on social networking site sage
T2  - PACIS 2022 proceedings
N2  - Recent spikes in social networking site (SNS) usage times have launched investigations into reasons for excessive SNS usage. Extending research on social factors (i.e., fear of missing out), this study considers the News Feed setup. More specifically, we suggest that the order of the News Feed (chronological vs. algorithmically assembled posts) affects usage behaviors. Against the background of the variable reward schedule, this study hypothesizes that the different orders exert serendipity differently. Serendipity, termed as unexpected lucky encounters with information, resembles variable rewards. Studies have evidenced a relation between variable rewards and excessive behaviors. Similarly, we hypothesize that order-induced serendipitous encounters affect SNS usage times and explore this link in a two-wave survey with an experimental setup (users using either chronological or algorithmic News Feeds). While theoretically extending explanations for increased SNS usage times by considering the News Feed order, practically the study will offer recommendations for relevant stakeholders.
Y1  - 2022
UR  - https://aisel.aisnet.org/pacis2022/271
SN  - 9781958200018
PB  - AIS Electronic Library (AISeL)
CY  - [Erscheinungsort nicht ermittelbar]
ER  -