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Systems
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Value Assessment of Product Service System Design
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Value Assessment of Product Service System Design

A special issue of Systems (ISSN 2079-8954).

Deadline for manuscript submissions: 28 July 2024 | Viewed by 3249

Special Issue Editor

Dr. Mariusz Salwin

E-Mail Website
Guest Editor
Faculty of Production Engineering, Warsaw University of Technology, Warsaw, Poland
Interests: product service system; product service systems design; financial modeling product service systems; business models; crowdfunding; startups; value stream mapping; sustainable development

Special Issue Information

Dear Colleagues,

The upcoming Special Issue of Systems, entitled "Value Assessment of Product Service System Design", is focusing on exploring and evaluating the worth and effectiveness of product service system (PSS) design. The aim is to delve into methods and criteria for assessing the value PSS brings to various stakeholders, including manufacturers, users, and the environment. The Issue will cover topics like sustainable design, customer satisfaction, economic benefits, and environmental impacts, offering insights into how PSS can be designed and evaluated for maximum value generation.

The aim of this Special Issue is to present, exchange and compare various practical aspects in the field of PSS design and value generation via PSS designed for various industries.

This Special Issue welcomes original research articles, reviews, and literature reviews.

Dr. Mariusz Salwin
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • product service system/smart product service system
  • product service system design/smart product service system design
  • product service system design method
  • product service system classification
  • case study
  • literature review
  • business model
  • customer satisfaction
  • economic benefits
  • environmental impacts

Published Papers (2 papers)

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Research

19 pages, 953 KiB  
Article
Exploring the Key Factors Influencing College Students’ Willingness to Use AI Coding Assistant Tools: An Expanded Technology Acceptance Model
by Zelin Pan, Zhendong Xie, Tingting Liu and Tiansheng Xia
Systems 2024, 12(5), 176; https://doi.org/10.3390/systems12050176 - 15 May 2024
Viewed by 546
Abstract
The application of artificial intelligence (AI) in programming assistance has garnered researchers’ attention for its potential to reduce learning costs for users, increase work efficiency, and decrease repetitive coding tasks. However, given the novelty of AI Coding Assistant Tools (AICATs), user acceptance is [...] Read more.
The application of artificial intelligence (AI) in programming assistance has garnered researchers’ attention for its potential to reduce learning costs for users, increase work efficiency, and decrease repetitive coding tasks. However, given the novelty of AI Coding Assistant Tools (AICATs), user acceptance is currently limited, and the factors influencing this phenomenon are unclear. This study proposes an expanded model based on the Technology Acceptance Model (TAM) that incorporates the characteristics of AICAT users to explore the key factors affecting college students’ willingness to use AICATs. Utilizing a survey methodology, 303 Chinese participants completed the questionnaire. Factor analysis and Structural Equation Modeling (SEM) results indicate that users’ dependence worry (DW) about AICATs positively affects perceived risk (PR), which in turn negatively impacts perceived usefulness (PU) and perceived ease of use (PEOU), thus reducing user willingness to use. Dependence concerns also negatively impact perceived trust (PT), while PT positively affects PU and PEOU, thereby enhancing willingness to use. Additionally, a user’s self-efficacy (SE) negatively impacts DW and positively affects PEOU. This study discusses the potential significance of these findings and offers suggestions for AICAT developers to foster and promote widespread use. Full article
(This article belongs to the Special Issue Value Assessment of Product Service System Design)
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27 pages, 1353 KiB  
Article
Exploring the Factors Influencing Continuance Intention to Use AI Drawing Tools: Insights from Designers
by Pujunqian Fan and Qianling Jiang
Systems 2024, 12(3), 68; https://doi.org/10.3390/systems12030068 - 22 Feb 2024
Viewed by 2304
Abstract
With the continuous evolution of artificial intelligence technology, AI drawing tools have emerged as highly esteemed instruments in the modern design industry. These tools, owing to their exceptional performance and innovative features, offer creators an unprecedented artistic experience. However, the factors influencing designers’ [...] Read more.
With the continuous evolution of artificial intelligence technology, AI drawing tools have emerged as highly esteemed instruments in the modern design industry. These tools, owing to their exceptional performance and innovative features, offer creators an unprecedented artistic experience. However, the factors influencing designers’ continuance intention to use AI drawing tools remain ambiguous. This study is grounded in the expectation–confirmation model–information systems continuance (ECM-ISC) model, which is further refined and hypothesized in light of the characteristics of AI drawing tools. Using structural equation modeling, we analyzed 398 valid questionnaire responses. The results elucidated the relationships of key constructs, such as perceived usefulness, perceived ease of use, satisfaction, expectation confirmation, perceived playfulness, perceived switching cost, subjective norms, and perceived risk, on designers’ continuance intention. Notably, perceived ease of use, traditionally considered vital, did not result in a significant influence on continuance intention or perceived usefulness in this research. This insight offers new perspectives for AI drawing tool developers and designers, suggesting that while pursuing user friendliness, broader considerations affecting user decisions should be taken into account. This study not only enriches the theoretical framework but also provides valuable guidance for the practical field. Full article
(This article belongs to the Special Issue Value Assessment of Product Service System Design)
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