Model of Trust Management for Digital Industry Services. Towards E-Commerce 4.0

Information Systems Department (2) Technical University in Vienna; Institute for Information Systems Engineering); J\"urgen Dorn (2) ((1) Comenius University in Bratislava; Natalia Kryvinska (1); Wolfgang Bauer (1)

Model of Trust Management for Digital Industry Services. Towards E-Commerce 4.0

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arxiv 2011.01523 v1 pith:JEUYQ7SK submitted 2020-11-03 cs.SI cs.NI

Wolfgang Bauer (1) , Natalia Kryvinska (1) , Jürgen Dorn (2) ((1) Comenius University in Bratislava , Information Systems Department (2) Technical University in Vienna , Institute for Information Systems Engineering) This is my paper · ORCID

classification cs.SIcs.NI

keywords dataservicetrustonlinee-commercenecessarysystemsadvertisement

verification ladder T0 review T1 audit T2 compute T3 formal

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The progressive digitalization is changing the way businesses work and interact. Concepts like Internet of Things, Cloud Computing, Industry 4.0, Service 4.0, Smart Production or Smart Cities are based on systems that are linked to the Internet. The online access to the provided data creates potential to optimize processes and cost reductions, but also exposes it to a risk for an inappropriate use. Trust management systems are necessary in terms of data security, but also to assure the trustworthiness of data that is distributed. Fake news in social media is an example for problems with online data that is not trustable. Security and trustworthiness of data are major concerns today. The speed in digitalization makes it even a greater challenge for future research. This article introduces therefore a model of online trust content usable to compute the trust of an online service advertisement. It contributes to standardize business service descriptions necessary to realize visions of E-commerce 4.0, because it is the basis for the development of AI systems that are able to match an service request to a service advertisement. It is necessary for building trust enhancing architectures in B2B e-commerce. To do so, we conducted case studies, analysed websites, developed a prototype system and verified it by conducting expert interviews.

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A survey of trust and reputation management systems that introduces data-sharing-specific taxonomies and finds a consistent gap: systems evaluate entities, not data quality or consumer compliance.

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