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Title

Trustworthy online shopping with price impact

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2017

Published in

Foundations of Computing and Decision Sciences

Journal year: 2017 | Journal volume: vol. 42 | Journal number: no. 2

Article type

scientific article

Publication language

english

Keywords
EN
  • Internet shopping
  • e-Commerce
  • trust factor
  • applications of combinatorial optimization
Abstract

EN Internet shopping is one of the main pillars of electronic commerce. According to the literature, the Internet Shopping Optimization Problem (ISOP)has been defined in order to optimize the global cost of online purchase, taking into account both the cost of products and shipping. In this study, it was decided to propose and analyze a very interesting, and really substantial, extension of the ISOP. Namely, trust factors were subjected to careful analysis from the customer point of view. The analysis is based on a specially prepared questionnaire, supplemented by the information from the literature and our own observations. Thus, it was possible to propose a definition of a new mathematical model of the problem, and to prove its affiliation to the class of strongly NP-hard problems. In addition, the heuristic algorithm is proposed, which can be used to solve the problem.

Pages (from - to)

121 - 136

DOI

10.1515/fcds-2017-0005

URL

https://www.sciendo.com/article/10.1515/fcds-2017-0005

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Full text of article

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public

Ministry points / journal

15

Ministry points / journal in years 2017-2021

15

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