Forschungsinformationssystem der Universität Bamberg
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Privacy over health? : Understanding discontinuous disclosure in mobile health applications
Full text linkPractice shows that many users stop disclosing personal health information (PHI) in mobile health applications due to privacy concerns about potential misuse, thereby foregoing potential health benefits. We draw on privacy calculus theory to explain the reasons for this deliberate behavioral shift, which we label discontinuous disclosure. Privacy calculus theory states that users weigh the benefits of disclosure against the associated costs. We suggest that discontinuous disclosure arises from a discrepancy in users’ perceptions regarding these benefits and costs. Initially, they expect benefits from their PHI disclosure (e.g., health benefits) but subsequently do not experience these benefits or encounter unexpected costs (e.g., privacy concerns), which eventually lead them to discontinue disclosing. To account for such changing perceptions over time, we suggest that a combination of initial expectations and subsequent experiences regarding disclosure benefits and costs leads to discontinuous disclosure. We conducted a two-step fuzzy-set qualitative comparative analysis on survey data from 322 mobile health application users and reveal four configurations that explain discontinuous disclosure. We contribute to privacy research by introducing discontinuous disclosure as a novel disclosure behavior characterized by the discrepancy between expectations and experiences. We also extend privacy calculus theory by shifting from a static, one-time tradeoff to a dynamic view where (1) initial expectations form a baseline for assessing subsequent experiences and (2) experienced and expected benefits and costs work together to explain disclosure behavior. Additionally, we contribute to IS research on mobile health applications by explaining users’ disclosure behavior in this context
Multimodale Modellantworten als direktes Feedback bei der individuellen Unterrichtsvideoanalyse
Full text linkSensing for Transformation : A Typology of Strategic Resilience Responses in Supply Chains
No full textWho benefits motivationally? : How the direction of performance feedback affects feedback perception and motivation to improve multiple document comprehension
Full text linkThe direction of feedback (i.e., emphasizing positive or negative aspects about the object of feedback) and students’ feedback perception are major factors driving their engagement in the feedback process and motivation. Positive performance feedback tends to be more readily accepted and perceived as more useful, enhancing motivation for further engagement. Negative performance feedback may be valued less and may reduce the motivation to improve one’s skill. Against this background, it is surprising that research about multiple document comprehension (MDC) feedback and its perception is rare although MDC is an essential skill for university students. The present study examines the relationship between the direction of performance feedback about the MDC skill, feedback perception, and motivation to improve MDC. Participants were 202 university students. Students’ MDC skill was assessed by a standardized test, which provided individual feedback after test completion. Performance feedback was based on the MDC skill using Weighted Likelihood Estimates. Feedback perception and motivation to improve were assessed by selfreport questionnaires. The direction of performance feedback was found to be partially relevant for feedback perception and motivation to improve MDC. A high perceived feedback usefulness played a role for the motivation to improve MDC. Students receiving a positive performance feedback and students who perceived the feedback as useful benefited motivationally. Therefore, feedback usefulness seemed to be especially important for the motivation to improve MDC
Developing the architecture and characteristics for a green hydrogen ecosystem to effectively accelerate the energy transition : a contribution to innovation leadership
Full text linkGreen hydrogen from renewable resources is one of the most critical levers for counteracting global warming caused by anthropogenic greenhouse gas emissions and, at the same time, increasing energy security. Green hydrogen is about to move from an early innovation stage to an industrial scale. Leaders can shape this transition using ecosystem theory. We used an exploratory mixed-methods study design to investigate the architecture of such an ecosystem with actors and the characteristics with objectives, roles, and key activities. We interviewed in the first step 22 experts using a semi-structured interview guide and facilitated in the second step a focus group discussion with 24 participants to test the insights gained from the expert interviews for their practicality. The data analyzed by qualitative content analysis revealed four main actor segments sufficient to describe participation in the green hydrogen ecosystem (GHE). The focus group discussion adds a fifth group, which could be described as the central expert council actor segment, which optimizes the processes between the actors, emphasizing that all actor segments are pursuing a common objective, the decarbonization under the Paris Agreement from 2015. Three actor segments in the ecosystem are identified as leaders to realize the common objective: equipment and service providers, governments and authorities, and the hydrogen market. The subjective perception of a low return on investment, considering the efforts an actor needs to contribute to the joint value creation and the achievement of the actor’s individual objectives, is with the actor segments with the leadership responsibility. In the medium to long term, this could lead to tensions and an imbalance in the ecosystem, which could be mitigated by a more transparent distribution and allocation of key activities in proportion to the achievement of objectives
The Podcast Revolution? : Exploring Journalistic Pioneers Beyond Legacy Media
Full text linkPodcasts have established themselves in the digital media landscape as an integral part of information gathering and opinion formation for many users. The number of podcast users has stabilized at a high level in recent years. However, podcast producers, including podcast journalists, remain a largely unexplored group. This study focuses on podcast journalists and aims to identify the perceptions, motivations, and quality standards relating to their roles in podcasting. It is based on the results of an online survey of 378 podcast journalists from Germany, Austria, and Switzerland. Against a background of the concept of pioneer journalism, this article argues that podcast journalists are innovative contributors to the journalism ecosystem and have positioned themselves as new actors within the field. The findings of this study show that podcast journalists create, produce, and present journalistic content, for instance news or background stories, in the form of audio episodes, and see themselves as both educators and entertainers. They use the creative freedom of podcasting to engage deeply with their audiences and achieve high levels of listener loyalty. While financial gain is not their primary motivation, they have innovated new revenue models. They are committed to the quality of their content and emphasize comprehensibility and accuracy of information
Do dynamic electricity tariffs change the gains of residential PV-battery systems? : A simulation-based evaluation using data from 448 households
No full textCoevolution of stock prices and their perceived fundamental value
Full text linkWe develop a simple nonlinear stock market model in which speculators switch between technical and fundamental trading rules depending on market conditions. Additionally, we assume that agents are unaware of the true current fundamental value and, thus, use a weighted average of the current price and the known long-run fundamental value as an estimate of the fundamental price. Using analytical and numerical methods, we demonstrate that an increase in the reaction parameter of technical traders may cause boom-bust dynamics. Moreover, we show that a heightened belief among agents that the fundamental value is more sensitive to deviations of the current price from its long-run fundamental value can cause the price to become trapped above or below this long-run value, oscillate within a higher price range, and prolong the duration of a bubble. In two model extensions, we assume that agents compute the current fundamental value based on the deviation between the average price and the known long-run fundamental value, using a moving average of the past k prices and an exponential moving average, respectively. These robustness checks show that, in these cases, price and perceived fundamental value fluctuate less statically around the long-run fundamental value
Inter-organizational collaborations in open-source software ecosystems
Full text linkContext:
Open-source software (OSS) ecosystems are pivotal to modern software development by fostering innovation through inter-organizational collaboration. While becoming increasingly important, research on the patterns and dynamics of this collaboration in OSS remains limited.
Objective:
This study investigates inter-organizational collaboration within different OSS ecosystems, focusing on identifying key contributing and influential organizations, analyzing collaboration patterns, and understanding their evolution over time.
Method:
An exploratory case study with a mixed-methods approach was conducted, with data collected from five prominent OSS ecosystems on GitHub (React, Vue, TensorFlow, Bootstrap, and Flutter) involving 9947 developers and 339 organizations over ten years. Both qualitative and quantitative analyses were performed, including software repository mining and applying different levels (micro/macro) and dimensions (rational/structural/functional) of social network analysis (SNA) to examine collaboration patterns.
Results:
Key organizations, such as Alphabet, TensorFlow, Meta, Nvidia, Intel, MobileIron, IBM, and AMD, emerged as significant contributors, acting as central hubs for collaboration within OSS ecosystems. The collaboration networks showed an initial phase of rapid growth followed by stabilization, indicating project maturation. Notably, competing firms were found to contribute to the same ecosystems, underpinning the inherently cooperative, reciprocal, and multiplex nature of OSS development.
Conclusion:
The findings highlight the pivotal role of top-contributing organizations in fostering collaboration and driving innovation within OSS ecosystems. Understanding these dynamics provides valuable insights for developing strategies to enhance the effectiveness, scalability, and long-term sustainability of OSS ecosystems, benefiting both individual contributors and participating organizations