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Kirsten Hillebrand

Bio: Kirsten Hillebrand is an academic researcher from Bern University of Applied Sciences. The author has contributed to research in topics: Corporate social responsibility & Design science research. The author has an hindex of 2, co-authored 4 publications receiving 7 citations.

Papers
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Journal ArticleDOI
TL;DR: By implementing an online experiment among 1,696 US citizens, it is found that individuals would donate their data even when at risk of getting leaked, and the willingness to provide personal data depends on the risk level of a data leak but not on a realistic impact of the data on social welfare.
Abstract: When using digital devices and services, individuals provide their personal data to organizations in exchange for gains in various domains of life. Organizations use these data to run technologies such as smart assistants, augmented reality, and robotics. Most often, these organizations seek to make a profit. Individuals can, however, also provide personal data to public databases that enable nonprofit organizations to promote social welfare if sufficient data are contributed. Regulators have therefore called for efficient ways to help the public collectively benefit from its own data. By implementing an online experiment among 1,696 US citizens, we find that individuals would donate their data even when at risk of getting leaked. The willingness to provide personal data depends on the risk level of a data leak but not on a realistic impact of the data on social welfare. Individuals are less willing to donate their data to the private industry than to academia or the government. Finally, individuals are not sensitive to whether the data are processed by a human-supervised or a self-learning smart assistant.

5 citations

Book ChapterDOI
04 Aug 2021
TL;DR: In this paper, a chatbot prototype called KlimaKarl was developed to sensitize the workforce to behave in a more climate-conscious way in the everyday office life, and they showed that chatbots may be a suitable instrument to promote employees' climate-friendly behavior.
Abstract: Environmental protection is a central challenge these days. At the same time, digital technologies have experienced tremendous technical progress in recent years and their potentials to support firms’ sustainability strategies and corporate social responsibility efforts are intensively discussed. In this respect, companies search for efficient ways to trigger a change of employee behavior in terms of climate-friendly practices. We propose chatbots as a promising technology to promote the climate-friendly behavior of employees. Following a Design Science Research (DSR) procedure, we develop a chatbot prototype called KlimaKarl to sensitize the workforce to behave in a more climate-conscious way in the everyday office life. We show that chatbots may be a suitable instrument to promote employees’ climate-friendly behavior.

4 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated citizens' consent to voluntary data disclosure and state surveillance and what drives their consent and found that fear increases consent to data disclosure, and trust in the government increases voluntary and state data disclosure.
Abstract: During the pandemic crisis, state surveillance measures violated citizens’ privacy rights to track the virus spread. Little civic protest resulted—“safety first”? Indeed, many measures were implemented during the crisis without ever having been discussed in advance of the event of a crisis, which may raise ethical considerations, as individual consent to surveillance may change while experiencing fear. This short paper investigates citizens’ consent to voluntary data disclosure and state surveillance and what drives their consent. Preliminary results from an online survey conducted with 1,156 respondents during the onset of the crisis in Germany show that (1) fear increases consent to voluntary data disclosure, (2) fear increases consent to state surveillance directly and indirectly by fostering distrust in others, and (3) trust in the government increases voluntary and state surveillance. Repeating this survey after the crisis has abated will give insights into how consent to surveillance changes without fear salience.

4 citations

Journal ArticleDOI
TL;DR: In this article, a chatbot prototype called KlimaKarl is developed to sensitize the workforce to behave in a more climate-conscious way in the everyday office life, which may be a suitable instrument to promote employees' climate-friendly behavior.
Abstract: Environmental protection is a central challenge these days. At the same time, digital technologies have experienced tremendous technical progress in recent years and their potentials to support firms’ sustainability strate-gies and corporate social responsibility efforts are intensively discussed. In this respect, companies search for efficient ways to trigger a change of em-ployee behavior in terms of climate-friendly practices. We propose chatbots as a promising technology to promote the climate-friendly behavior of em-ployees. Following a Design Science Research (DSR) procedure, we develop a chatbot prototype called KlimaKarl to sensitize the workforce to behave in a more climate-conscious way in the everyday office life. We show that chatbots may be a suitable instrument to promote employees’ climate-friendly behavior.

1 citations

BookDOI
TL;DR: In this article , a compact guide to sustainable business providing basic terms and concepts and insights into new business strategies is presented, along with an open access book with an overview of the main concepts of sustainable business.
Abstract: This open access book is a compact guide to sustainable business providing basic terms and concepts and insights into new business strategies.

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Posted Content
01 Jan 2014
TL;DR: In this article, the authors developed a conceptual framework that explains the process of data sharing from the primary researcher's point of view, which can be divided into six descriptive categories: data donor, research organization, research community, norms, data infrastructure, and data recipients.
Abstract: Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of study results and the reuse of old data for new research questions. Based on a systematic review of 98 scholarly papers and an empirical survey among 603 secondary data users, we develop a conceptual framework that explains the process of data sharing from the primary researcher’s point of view. We show that this process can be divided into six descriptive categories: Data donor, research organization, research community, norms, data infrastructure, and data recipients. Drawing from our findings, we discuss theoretical implications regarding knowledge creation and dissemination as well as research policy measures to foster academic collaboration. We conclude that research data cannot be regarded a knowledge commons, but research policies that better incentivize data sharing are needed to improve the quality of research results and foster scientific progress.

198 citations

Journal ArticleDOI
TL;DR: In this paper, a comprehensive opinion-based insight to a multitude of diverse viewpoints that look at the many challenges through a technology lens is provided, with the focus on the role of digital and IS technology in climate change solutions.

120 citations

Posted Content
TL;DR: The authors proposed a theory of pricing based on the assumption that customers dislike unfair prices and that firms take these concerns into account when setting prices, which produces monetary nonneutrality: when monetary policy loosens and inflation rises, customers misperceive markups as higher and feel unfairly treated; firms mitigate this perceived unfairness by reducing their markups; in general equilibrium, employment rises.
Abstract: This paper proposes a theory of pricing premised upon the assumptions that customers dislike unfair prices---those marked up steeply over cost---and that firms take these concerns into account when setting prices. Since they do not observe firms' costs, customers must extract costs from prices. The theory assumes that customers infer less than rationally: when a price rises due to a cost increase, customers partially misattribute the higher price to a higher markup---which they find unfair. Firms anticipate this response and trim their price increases, which drives the passthrough of costs into prices below one: prices are somewhat rigid. Embedded in a New Keynesian model as a replacement for the usual pricing frictions, our theory produces monetary nonneutrality: when monetary policy loosens and inflation rises, customers misperceive markups as higher and feel unfairly treated; firms mitigate this perceived unfairness by reducing their markups; in general equilibrium, employment rises. The theory also features a hybrid short-run Phillips curve, realistic impulse responses of output and employment to monetary and technology shocks, and an upward-sloping long-run Phillips curve.

11 citations

Journal ArticleDOI
01 Apr 2021
TL;DR: The authors approach the drivers and procedures for COVID-19 surveillance, addressing a particular focus to close-circuit television (CCTV) and tracking apps.
Abstract: The COVID-19 pandemic has accelerated the adoption of surveillance technologies in cities around the world The new surveillance systems are unfolding at unprecedented speed and scale in response to the fears of COVID-19, yet with little discussion about long-term consequences or implications The authors approach the drivers and procedures for COVID-19 surveillance, addressing a particular focus to close-circuit television (CCTV) and tracking apps This paper describes the technologies, how they are used, what they are capable of, the reasons why one should be concerned, and how citizens may respond No commentary should downplay the seriousness of the current pandemic crisis, but one must consider the immediate and longer-term threats of insinuated enhanced surveillance, and look to how surveillance could be managed in a more cooperative social future © 2021 IGI Global All rights reserved

8 citations

Journal ArticleDOI
TL;DR: The results show that efficacy is associated with sex, education, central government support, the public hygiene environment, and public hygiene behaviors, and that anxiety was shown to have a negative relationship with centralgovernment support, a positive relationship with civilian support, and anegative relationship with efficacy.
Abstract: Social distancing, shutdown, and lockdown policies have recently been implemented worldwide to help slow the spread of the Coronavirus disease 2019 (COVID-19), which has caused economic, social, and cultural crises on a global scale. To help create safe communities, we aimed to analyze the factors affecting the public’s anxiety and efficacy to overcome crises. The results show that efficacy is associated with sex, education, central government support, the public hygiene environment, and public hygiene behaviors. Anxiety was shown to have a negative relationship with central government support, a positive relationship with civilian support, and a negative relationship with efficacy. For a country to prevent the spread of a novel infectious disease, alleviate the anxiety of the population, and construct a safe community in the midst of a global pandemic, active central government support and response, protection of vulnerable populations, publicization of policies, and crisis management communication are essential. In particular, identifying an evidence-based method to understand and address the psychological and social influences of COVID-19, such as excessive fear and discrimination, providing insight into risk factors associated with future society for policy makers, and establishing potential and sustainable public health communication strategies are of paramount importance.

3 citations