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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). This special issue belongs to the section "Systems Practice in Social Science".

Deadline for manuscript submissions: closed (28 July 2024) | Viewed by 23989

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

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (6 papers)

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Research

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30 pages, 29156 KiB  
Article
Evaluation and Decision of a Seat Color Design Scheme for a High-Speed Train Based on the Practical Color Coordinate System and Hybrid Kansei Engineering
by Xuan-Hui Xie, Yunpeng Xu, Shilin Guo, Hongyang Zhu and Huiran Yan
Systems 2024, 12(8), 316; https://doi.org/10.3390/systems12080316 - 22 Aug 2024
Cited by 2 | Viewed by 1673
Abstract
Color is an important visual element of high-speed train seats, which has a significant impact on passenger travel experience. In order to solve the problem that color design relies on the subjective experience of designers, this study aims to establish an effective evaluation [...] Read more.
Color is an important visual element of high-speed train seats, which has a significant impact on passenger travel experience. In order to solve the problem that color design relies on the subjective experience of designers, this study aims to establish an effective evaluation and decision method for seat color design in a high-speed train based on the Practical Color Coordinate System (PCCS) and hybrid Kansei Engineering. Firstly, we created a series of design schemes based on the typical colors in the PCCS. Secondly, a new hybrid Kansei Engineering system was constructed; in this system, forward Kansei Engineering was constructed with Factor Analysis (FA) and Multidimensional Scaling Analysis (MDS) to analyze the cognitive feature of color sample. The Analytic Hierarchy Process (AHP) and Independent Weight Coefficient Method (IW) were used to calculate comprehensive weights, and backward Kansei Engineering was constructed with the TOPSIS to optimize and evaluate color design schemes. Finally, the design and evaluation methods were illustrated with a case. The results showed that (1) the three main influencing factors of seat color design for high-speed trains included function, aesthetics and experience, and comfort and harmony; two other potential factors included calmness and relaxation. (2) In the PCCS, warm colors have a better esthetic, while cool colors are calmer. Tones with medium brightness and saturation such as It- and Sf-tones are the optimal choice, while the V-tone is not suitable for seat color design. The effectiveness of this method is verified by a case study, which provides a reference for seat color design evaluation and optimization of high-speed trains. Full article
(This article belongs to the Special Issue Value Assessment of Product Service System Design)
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15 pages, 694 KiB  
Article
An Intelligent Adaptive Neuro-Fuzzy Inference System for Modeling Time-Series Customer Satisfaction in Product Design
by Huimin Jiang, Farzad Sabetzadeh and Chen Zhang
Systems 2024, 12(6), 224; https://doi.org/10.3390/systems12060224 - 20 Jun 2024
Cited by 2 | Viewed by 1723
Abstract
In previous research on the development of the relationships between product attributes and customer satisfaction, the models did not adequately consider nonlinearity and the fuzzy emotions of customers in online reviews. Also, stable customer satisfaction was considered. However, customer satisfaction is changing with [...] Read more.
In previous research on the development of the relationships between product attributes and customer satisfaction, the models did not adequately consider nonlinearity and the fuzzy emotions of customers in online reviews. Also, stable customer satisfaction was considered. However, customer satisfaction is changing with time rapidly, and a time-series analysis for customer satisfaction has not been conducted previously. To address these challenges, this study designed a novel methodology using adaptive neuro-fuzzy inference systems (ANFIS) in conjunction with Bi-objective particle swarm optimization (BOPSO) and sentiment analysis techniques. Sentiment analysis is employed to extract time-series customer satisfaction data from online reviews. Then, an ANFIS with the BOPSO method is proposed for the establishment of customer satisfaction models. In previous studies, ANFIS is an effective method to model customer satisfaction which can handle fuzziness and nonlinearity. However, when dealing with a large number of inputs, the modeling process may fail due to the complexity of the structure and the lengthy computational time required. Incorporating the BOPSO algorithm into ANFIS can identify the optimal inputs in ANFIS and effectively mitigate the inherent limitations of ANFIS. Using mobile phones as a case study, a comparison was performed between the proposed approach and another four approaches in modeling time-series customer satisfaction. Full article
(This article belongs to the Special Issue Value Assessment of Product Service System Design)
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33 pages, 4665 KiB  
Article
A Study on the Willingness of “Generation Z” Consumers to Use Online Virtual Try-On Shopping Services Based on the S-O-R Framework
by Zhicheng Wang and Qianling Jiang
Systems 2024, 12(6), 217; https://doi.org/10.3390/systems12060217 - 18 Jun 2024
Cited by 3 | Viewed by 3791
Abstract
Virtual try-on services, which significantly reduce return rates and enhance user shopping experiences, pose a crucial question: how can user willingness to use these services be increased? Additionally, “Generation Z” consumers, known for their unique traits and significant consumption potential, have been relatively [...] Read more.
Virtual try-on services, which significantly reduce return rates and enhance user shopping experiences, pose a crucial question: how can user willingness to use these services be increased? Additionally, “Generation Z” consumers, known for their unique traits and significant consumption potential, have been relatively understudied in this context. To address this theoretical gap, this study employs the Stimulus–Organism–Response (S-O-R) theory as its research framework, using online virtual shoe try-on services as a case study. Focusing on “Generation Z” consumers, this study utilizes literature review, user research, factor analysis, and linear regression to establish a user experience evaluation scale and behavior model. The user experience evaluation scale identifies positive elements such as convenience, price value, visual information acquisition, emotional value, and social interaction. The negative elements include technical limitations, personalized service deficiencies, and uncertainty. In the behavior model, all elements influence user attitudes. Notably, only the negative elements directly affect users’ willingness to use the service, except social interaction among the positive elements, which positively impacts usage intention. This study also reveals that “Generation Z” consumers have novel requirements for social interaction. This research effectively addresses existing theoretical gaps and provides a foundational theory for the development of related services and technologies. Full article
(This article belongs to the Special Issue Value Assessment of Product Service System Design)
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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
Cited by 13 | Viewed by 6026
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
Cited by 11 | Viewed by 5790
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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Other

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47 pages, 20404 KiB  
Systematic Review
A Systematic Review on Extended Reality-Mediated Multi-User Social Engagement
by Yimin Wang, Daojun Gong, Ruowei Xiao, Xinyi Wu and Hengbin Zhang
Systems 2024, 12(10), 396; https://doi.org/10.3390/systems12100396 - 26 Sep 2024
Cited by 5 | Viewed by 3956
Abstract
The metaverse represents a post-reality universe that seamlessly merges physical reality with digital virtuality. It provides a continuous and immersive social networking environment, enabling multi-user engagement and interaction through Extended Reality (XR) technologies, which include Virtual Reality (VR), Augmented Reality (AR), and Mixed [...] Read more.
The metaverse represents a post-reality universe that seamlessly merges physical reality with digital virtuality. It provides a continuous and immersive social networking environment, enabling multi-user engagement and interaction through Extended Reality (XR) technologies, which include Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR). As a novel solution distinct from traditional methods such as mobile-based applications, the technical affordance of XR technologies in shaping multi-user social experiences remains a complex, multifaceted, and multivariate issue that has not yet been thoroughly explored. Additionally, there is a notable absence of mature frameworks and guidelines for designing and developing these multi-user socio-technical systems. Enhancing multi-user social engagement through these technologies remains a significant research challenge. This systematic review aims to address this gap by establishing an analytical framework guided by the PRISMA protocol. It analyzes 88 studies from various disciplines, including computer science, social science, psychology, and the arts, to define the mechanisms and effectiveness of XR technologies in multi-user social engagement. Quantitative methods such as descriptive statistics, correlation statistics, and text mining are used to examine the manifestation of mechanisms, potential system factors, and their effectiveness. Meanwhile, qualitative case studies identify specific measures by which system factors enhance multi-user social engagement. The study provides a pioneering framework for theoretical research and offers practical insights for developing cross-spatiotemporal co-present activities in the metaverse. It also promotes critical reflection on the evolving relationship between humans and this emerging digital universe. Full article
(This article belongs to the Special Issue Value Assessment of Product Service System Design)
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