자연주의적 탐구조사(Naturalistic Inquiry)

计量经济分析 = Econometric analysis

The author systematically examines one of the important issues of information — establishing the market price. He introduces the concept of «search» — where a buyer wanting to get a better price, is forced to question sellers. The article deals with various aspects of finding the necessary information.

Economics of Information

Trust: The Social Virtues and the Creation of Prosperity

The measurement of meaning

Fog Computing - Complementing Cloud Computing to Facilitate Industry 4.0

While highly sensitive data like personal health information (PHI) is valuable to digital health service providers, users often remain reluctant to disclose such personal data. Research has shown that personalised nudging, i.e. nudging that adopts content to user characteristics to nudge specific actions, can successfully increase purchase intention. However, its effect on consumers’ handling of sensitive data is unclear. We apply personalised nudging in the context of personalising data usage policies and investigate whether personalised nudges that match users’ cognitive styles (i.e. the way users process information), affects individuals’ level of trust, privacy concerns, risk, and PHI disclosure. Using an online experiment in the context of mobile apps for health bonus programmes, we find that, when presentation format matches the users’ cognitive style individuals’ PHI disclosure and trust are not affected, but that individuals’ privacy concerns and risk perceptions are significantly lower

/pdf/personalised-nudging-for-more-data-disclosure-on-the-ue3zgr1ycw.pdf

Personalised Nudging for more Data Disclosure? On the Adaption of Data Usage Policies Format to Cognitive Styles

Recommender systems aim to support consumers in identifying the most
relevant items. However, there are concerns that recommenders may
imprison users in a “filter bubble” by recommending items predominantly
known to users. On the other hand, providing unconventional items
increases risks of not meeting users’ taste. Given this trade-off, we analyze
the effects of consumers’ perceived levels of recommendation novelty and
serendipity on perceived preference fit and enjoyment. We find that merely
increasing the level of novel recommendations is insufficient. Instead,
recommenders should provide more serendipitous recommendations as
this leads to higher perceived preference fit and enjoyment. In addition,
market and recommender technology characteristics need to be taken into
account as they partially determine the level of novel and serendipitous
recommendations. Our findings have significant implications for research
as they add additional insights on users’ evaluations of recommender
systems. For practice, our results enable online retailers to develop better
recommenders.

Escaping from the Filter Bubble? The Effects of Novelty and Serendipity on Users’ Evaluations of Online Recommendations

This paper reports the panel discussion on the topic of artificial intelligence (AI) and robots in our lives. This discussion was held at the Digitization of the Individual (DOTI) workshop at the International Conference on Information Systems in 2019. Three scholars (in alphabetical order: Ting-Peng Liang, Lionel Robert and Suprateek Sarker) who have done AI- and robot-related research (to varying degrees) were invited to participate in the panel discussion. The panel was moderated by Manuel Trenz.,This paper introduces the topic, chronicles the responses of the three panelists to the questions the workshop chairs posed and summarizes their responses, such that readers can have an overview of research on AI and robots in individuals' lives and insights about future research directions.,The panelists discussed four questions with regard to their research experiences on AI- and robot-related topics. They expressed their viewpoints on the underlying nature, potential and effects of AI in work and personal life domains. They also commented on the ethical dilemmas for research and practice and provided their outlook for future research in these emerging fields.,This paper aggregates the panelists' viewpoints, as expressed at the DOTI workshop. Crucial ethical and theoretical issues related to AI and robots in both work and personal life domains are addressed. Promising research directions to these cutting-edge research fields are also proposed.

/pdf/artificial-intelligence-and-robots-in-individuals-lives-how-2t86yl6lhy.pdf

Artificial intelligence and robots in individuals' lives: how to align technological possibilities and ethical issues

The underlying scenario for adopting Covid-19 contact tracing apps is complex, given that users face potential surveillance, while expected health benefits are for the greater societal good rather ...

https://www.tandfonline.com/doi/pdf/10.1080/12460125.2021.1873493

Christian Matt

Papers

Fog Computing - Complementing Cloud Computing to Facilitate Industry 4.0

Personalised Nudging for more Data Disclosure? On the Adaption of Data Usage Policies Format to Cognitive Styles

Escaping from the Filter Bubble? The Effects of Novelty and Serendipity on Users’ Evaluations of Online Recommendations

Artificial intelligence and robots in individuals' lives: how to align technological possibilities and ethical issues

Campaigning for the greater good?–How persuasive messages affect the evaluation of contact tracing apps