Cited by 377Service and Product InnovationDigital Transformation in IndustryDigital Innovation in Industries

The DOI matches its Crossref record; 129 of the 130 references it cites were found in a registry or an index.

A survey of smart product-service systems: Key aspects, challenges and future perspectives

Zheng, Pai, Wang, Zuoxu, Chen, Chun-Hsien, Pheng Khoo, Li·2019·Advanced Engineering Informatics

DOI 10.1016/j.aei.2019.100973

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/j.aei.2019.100973

Cites

129 of 129 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Evolving to a New Dominant Logic for Marketing
Vargo, S. L., & Lusch, R. F. (2004) · Journal of Marketing · doi:10.1509/jmkg.68.1.1.24036 · Cited by 14,779
Edge computing: Vision and challenges
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2579198 · Cited by 8,733
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
Lee, J., Bagheri, B., & Kao, H.-A. (2015) · Manufacturing Letters · doi:10.1016/j.mfglet.2014.12.001 · Cited by 5,113
Digital Twin in Industry: State-of-the-Art
Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2873186 · Cited by 4,391
Research Commentary —The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research
Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010) · Information Systems Research · doi:10.1287/isre.1100.0322 · Cited by 2,964
Digital twin-driven product design, manufacturing and service with big data
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920
How Smart, Connected Products Are Transforming Competition
Porter, M. E., & Heppelmann, J. E. (2014) · Harvard business review · Cited by 2,600
That ‘Internet of Things’ Thing
Ashton, K. J. (1999) · Medical Entomology and Zoology · Cited by 2,581
Eight types of product–service system: Eight ways to sustainability? Experiences from SusProNet
Tukker, A. (2004) · Business Strategy and the Environment · doi:10.1002/bse.414 · Cited by 2,456
Clarifying the concept of Product-Service System
Mont, O. K. (2002) · Journal of Cleaner Production · doi:10.1016/s0959-6526(01)00039-7 · Cited by 2,174

Show all 130 references

Research works printed but not linked: 9

Valencia, 2015, The design of smart Product-Service Systems (PSSs): An exploration of\ndesign characteristics, Int. J. Des., 9, 13
A.M. Valencia Cardona, R. Mugge, J.P.L. Schoormans, H.N.J. Schifferstein, Challenges in the design of smart product-service systems (PSSs): Experiences from practitioners, in: Proc. 19th DMI Acad. Des. Manag. Conf. Des. Manag. an Era Disruption, London, UK, Sept. 2-4, 2014, Design Management Institute, 2014.
Stark, 2015, vol. 1, 1
Rolls-Royce celebrates 50th anniversary of Power-by-the-Hour: https://www.rolls-royce.com/media/press-releases-archive/yr-2012/121030-the-hour.aspx (accssed on 20/04/2019).
M. Bénade, J. Brun, P. Le Masson, B. Weil, How smart products with built in flexibility empower users to self - design the use : A theoretical framework for use generation, in: 14th Open User Innov. Conf. Boston, United-States (2016). https://hal.archives-ouvertes.fr/hal-01389650.
Lee, 2014, Dominant innovation design for smart products-service systems (PSS): Strategies and case studies, Annu. SRII Glob. Conf. SRII., 305
P. Weiß, B. Kölmel, R. Bulander, Digital service innovation and smart technologies: developing digital strategies based on industry 4.0 and product service systems for the renewal energy sector, in: Proc. 26th Annu. RESER Conf. Naples, Italy, 2016: pp. 274–291.
Sayar, 2018, The antecedents of successful IoT service and system design: Cases from the manufacturing industry, Int. J. Des., 12, 67
Y.C. Hu, M. Patel, D. Sabella, N. Sprecher, V. Young, Mobile Edge Computing A key technology towards 5G, ETSI White Pap. No. 11 Mob. (2015) pp. 1–16. http://www.etsi.org/images/files/ETSIWhitePapers/etsi_wp11_mec_a_key_technology_towards_5g.pdf.

Sorted by citations

Introducing digital twins to agriculture
Pylianidis, C., Osinga, S., & Athanasiadis, I. N. (2021) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105942 · Cited by 753
Industry 4.0 and the Circular Economy: A Literature Review and Recommendations for Future Research
Awan, U., Sroufe, R., & Shahbaz, M. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2731 · Cited by 609
How-to conduct a systematic literature review: A quick guide for computer science research
Carrera-Rivera, A., Ochoa, W., Larrinaga, F., & Lasa, G. (2022) · MethodsX · doi:10.1016/j.mex.2022.101895 · Cited by 778
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
Wang, B., Zheng, P., Yin, Y., Shih, A. J., & Wang, L. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.05.005 · Cited by 390
Self-citation
A framework of digital technologies for the circular economy: digital functions and mechanisms
Liu, Q., Trevisan, A. H., Yang, M., & Mascarenhas, J. (2022) · Business Strategy and the Environment · doi:10.1002/bse.3015 · Cited by 324
Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review
Zhang, C., Wang, Z., Zhou, G., Chang, F., Ma, D., Jing, Y., Cheng, W., Ding, K., & Zhao, D. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.102121 · Cited by 311
Self-citation
Nexus of circular economy and sustainable business performance in the era of digitalization
Agrawal, R., Wankhede, V. A., Kumar, A., V, Upadhyay, A., & Garza‐Reyes, J. A. (2021) · International Journal of Productivity and Performance Management · doi:10.1108/ijppm-12-2020-0676 · Cited by 325
Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives
Li, S., Zheng, P., Liu, S., Wang, Z., Wang, X. V., Zheng, L., & Wang, L. (2022) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2022.102510 · Cited by 267
Self-citation
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
Ng, K. K. H., Chen, C., Lee, C. K. M., Jiao, J. R., & Yang, Z.-X. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101246 · Cited by 285
Self-citation
Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries
Ma, S., Ding, W., Liu, Y., Ren, S., & Yang, H. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.119986 · Cited by 274
A blockchain- and IoT-based smart product-service system for the sustainability of prefabricated housing construction
Li, C. Z., Chen, Z., Xue, F., Kong, X. T. R., Xiao, B., Lai, X., & Zhao, Y. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.125391 · Cited by 229
From servitization to digital servitization: How digitalization transforms companies' transition towards services
Favoretto, C., Mendes, G. H. S., Oliveira, M. G., Cauchick-Miguel, P. A., & Coreynen, W. (2022) · Industrial Marketing Management · doi:10.1016/j.indmarman.2022.01.003 · Cited by 219
Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach
Zheng, P., Xia, L., Li, C., Li, X., & Liu, B. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2021.08.002 · Cited by 213
Self-citation
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm
Li, S.-F., Wang, R.-B., Zheng, P., & Wang, L.-H. (2021) · Journal of manufacturing systems · doi:10.1016/j.jmsy.2021.07.017 · Cited by 177
Self-citation
Capabilities of digital servitization: Evidence from the socio-technical systems theory
Münch, C., Marx, E., Benz, L. A., Hartmann, E., & Matzner, M. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121361 · Cited by 240
Digital transformation as a strategy to reach sustainability
Gómez-Trujillo, A. M., & González-Pérez, M. A. (2021) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-01-2021-0011 · Cited by 191
Understanding digital transformation in advanced manufacturing and engineering: A bibliometric analysis, topic modeling and research trend discovery
Lee, C., Liu, C., Trappey, A. J. C., Mo, J. P. T., & Desouza, K. C. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101428 · Cited by 175
Human-Cyber-Physical System for Industry 5.0: A Review From a Human-Centric Perspective
Lou, S., Hu, Z., Zhang, Y., Feng, Y., Zhou, M., & Lv, C. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2024.3360476 · Cited by 170
Developing a personalized recommendation system in a smart product service system based on unsupervised learning model
Chiu, M., Huang, J.-H., Gupta, S., & Akman, G. (2021) · Computers in Industry · doi:10.1016/j.compind.2021.103421 · Cited by 159
Toward Proactive Human–Robot Collaborative Assembly: A Multimodal Transfer-Learning-Enabled Action Prediction Approach
Li, S., Zheng, P., Fan, J., & Wang, L. (2021) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2021.3105977 · Cited by 154
Self-citation
A Knowledge Graph-Aided Concept–Knowledge Approach for Evolutionary Smart Product–Service System Development
Li, X., Chen, C., Zheng, P., Wang, Z., Jiang, Z., & Jiang, Z. (2020) · Journal of Mechanical Design · doi:10.1115/1.4046807 · Cited by 150
Self-citation
Digital transformation of business model in manufacturing companies: challenges and research agenda
Favoretto, C., Mendes, G. H. D. S., Filho, M. G., de Oliveira, M. G., & Ganga, G. M. D. (2021) · Journal of Business and Industrial Marketing · doi:10.1108/jbim-10-2020-0477 · Cited by 148
Promoting sustainable development goals through generative artificial intelligence in the digital supply chain: Insights from Chinese tourism SMEs
Wang, S., & Zhang, H. (2024) · Sustainable Development · doi:10.1002/sd.3152 · Cited by 166
Exploiting knowledge graphs in industrial products and services: A survey of key aspects, challenges, and future perspectives
Li, X., Lyu, M., Wang, Z., Chen, C., & Zheng, P. (2021) · Computers in Industry · doi:10.1016/j.compind.2021.103449 · Cited by 138
Self-citation
A data-driven reversible framework for achieving Sustainable Smart product-service systems
Li, X., Wang, Z., Chen, C., & Zheng, P. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.123618 · Cited by 129
Self-citation
Digital twins for information-sharing in remanufacturing supply chain: A review
Chen, Z., & Huang, L. (2020) · Energy · doi:10.1016/j.energy.2020.119712 · Cited by 126
A graph-based context-aware requirement elicitation approach in smart product-service systems
Wang, Z., Chen, C., Zheng, P., Li, X., & Khoo, L. P. (2019) · International Journal of Production Research · doi:10.1080/00207543.2019.1702227 · Cited by 121
Self-citation
Digitalisation and servitisation of machine tools in the era of Industry 4.0: a review
Liu, C., Zheng, P., & Xu, X. W. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.1969462 · Cited by 124
Self-citation
A user-centric design approach for smart product-service systems using virtual reality: A case study
Bu, L., Chen, C., Ng, K. K. H., Zheng, P., Dong, G., & Liu, H. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.124413 · Cited by 114
Self-citation
Semantic-aware event link reasoning over industrial knowledge graph embedding time series data
Zhou, B., Shen, X., Lu, Y., Li, X., Hua, B., Liu, T., & Bao, J. (2022) · International Journal of Production Research · doi:10.1080/00207543.2021.2022803 · Cited by 109
The Need for New Product Development Capabilities from Digitalization, Sustainability, and Servitization Trends
Hallstedt, S. I., Isaksson, O., & Rönnbäck, A. Ö. (2020) · Sustainability · doi:10.3390/su122310222 · Cited by 111
Integration of Digital Economy and Circular Economy: Current Status and Future Directions
Liu, Z., Liu, J., & Osmani, M. (2021) · Sustainability · doi:10.3390/su13137217 · Cited by 115
Recycling Perspectives of Circular Business Models: A Review
Islam, M. T., Iyer‐Raniga, U., & Trewick, S. (2022) · Recycling · doi:10.3390/recycling7050079 · Cited by 108
Designing value-driven solutions: The evolution of industrial product-service systems
Brissaud, D., Sakao, T., Riel, A., & Erkoyuncu, J. A. (2022) · CIRP Annals · doi:10.1016/j.cirp.2022.05.006 · Cited by 107
Context-awareness for the design of Smart-product service systems: Literature review
Carrera-Rivera, A., Larrinaga, F., & Lasa, G. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103730 · Cited by 97
Blockchain-based digital twin sharing platform for reconfigurable socialized manufacturing resource integration
Li, M., Li, Z., Huang, X., & Qu, T. (2021) · International Journal of Production Economics · doi:10.1016/j.ijpe.2021.108223 · Cited by 97
Smart robotic mobile fulfillment system with dynamic conflict-free strategies considering cyber-physical integration
Lee, C. K. M., Lin, B., Ng, K. K. H., Lv, Y., & Tai, W. C. (2019) · Advanced Engineering Informatics · doi:10.1016/j.aei.2019.100998 · Cited by 96
An active preventive maintenance approach of complex equipment based on a novel product-service system operation mode
Wang, N., Ren, S., Liu, Y., Yang, M., Wang, J., & Huisingh, D. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.123365 · Cited by 99
Smart retrofitting in manufacturing: A systematic review
Jaspert, D., Ebel, M., Eckhardt, A., & Pöppelbuß, J. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.127555 · Cited by 99
Data-driven value creation in Smart Product-Service System design: State-of-the-art and research directions
Machchhar, R. J., Melén, C. N. K. T., Bertoni, A., & Bertoni, M. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103606 · Cited by 93
How do different Industry 4.0 technologies support certain Circular Economy practices?
Lei, Z., Cai, S., Cui, L., Wu, L., & Liu, Y. (2022) · Industrial Management & Data Systems · doi:10.1108/imds-05-2022-0270 · Cited by 96
Large language model assisted fine-grained knowledge graph construction for robotic fault diagnosis
Liao, X., Chen, C., Wang, Z., Liu, Y., Wang, T., & Cheng, L. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103134 · Cited by 88
Self-citation
A context-aware diversity-oriented knowledge recommendation approach for smart engineering solution design
Li, X., Chen, C., Zheng, P., Jiang, Z., & Wang, L. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.106739 · Cited by 80
Self-citation
Design concept evaluation of smart product-service systems considering sustainability: An integrated method
Song, W., Niu, Z., & Zheng, P. (2021) · Computers & Industrial Engineering · doi:10.1016/j.cie.2021.107485 · Cited by 81
Self-citation
Designing solutions with the product-service systems digital twin: What is now and what is next?
Bertoni, M., & Bertoni, A. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103629 · Cited by 78
A rough–fuzzy approach integrating best–worst method and data envelopment analysis to multi-criteria selection of smart product service module
Chen, Z., & Ming, X. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106479 · Cited by 77
Enabling collaboration on digital platforms: a study of digital twins
Reim, W., Andersson, E., & Eckerwall, K. (2022) · International Journal of Production Research · doi:10.1080/00207543.2022.2116499 · Cited by 67
An IIoT-driven and AI-enabled framework for smart manufacturing system based on three-terminal collaborative platform
Bu, L., Zhang, Y., Liu, H., Yuan, X., Guo, J. Q., & Su, H. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101370 · Cited by 74
A hybrid framework integrating rough-fuzzy best-worst method to identify and evaluate user activity-oriented service requirement for smart product service system
Chen, Z., Ming, X., Zhou, T., Chang, Y., & Sun, Z. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.119954 · Cited by 70
Development of an edge computing-based cyber-physical machine tool
Zhang, J., Deng, C., Zheng, P., Xu, X. W., & Ma, Z. (2020) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2020.102042 · Cited by 71
Self-citation
Emotional design for smart product-service system: A case study on smart beds
Yang, X., Wang, R., Tang, C., Luo, L., & Mo, X. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126823 · Cited by 69
A holistic relook at engineering design methodologies for smart product-service systems development
Cong, J.-C., Chen, C.-H., Zheng, P., Li, X., & Wang, Z. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.122737 · Cited by 67
Self-citation
An ABGE-aided manufacturing knowledge graph construction approach for heterogeneous IIoT data integration
Ren, L., Li, Y., Wang, X., Cui, J. F., & Li, Z. (2022) · International Journal of Production Research · doi:10.1080/00207543.2022.2042416 · Cited by 70
A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration
Wang, Z., Chen, C., Li, X., Zheng, P., & Khoo, L. P. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101394 · Cited by 65
Self-citation
Achieving Cognitive Mass Personalization via the Self-X Cognitive Manufacturing Network: An Industrial Knowledge Graph- and Graph Embedding-Enabled Pathway
Li, X., Zheng, P., Bao, J., Gao, L., & Xu, X. W. (2021) · Engineering · doi:10.1016/j.eng.2021.08.018 · Cited by 64
Self-citation
A TRIZ-based product-service design approach for developing innovative products
Chou, J.-R. (2021) · Computers & Industrial Engineering · doi:10.1016/j.cie.2021.107608 · Cited by 66
CIRCULAR ECONOMY MODELS IN THE INDUSTRY 4.0 ERA: A REVIEW OF THE LAST DECADE
Piscitelli, G., Ferazzoli, A., Petrillo, A., Cioffi, R., Parmentola, A., & Travaglioni, M. (2020) · Procedia Manufacturing · doi:10.1016/j.promfg.2020.02.074 · Cited by 63
Enabling industrial internet of things-based digital servitization in smart production logistics
Flores-García, E., Jeong, Y., Liu, S., Wiktorsson, M., & Wang, L. (2022) · International Journal of Production Research · doi:10.1080/00207543.2022.2081099 · Cited by 63
Conceptualizing customer value in data-driven services and smart PSS
Rapaccini, M., & Adrodegari, F. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103607 · Cited by 61
Implications of data-driven product design: From information age towards intelligence age
Wang, Z., Zheng, P., Li, X., & Chen, C. (2022) · Advanced Engineering Informatics · doi:10.1016/j.aei.2022.101793 · Cited by 68
Self-citation
Digital twin implementation for performance improvement in process industries- A case study of food processing company
Maheshwari, P., Kamble, S., Belhadi, A., Mani, V., & Pundir, A. K. (2022) · International Journal of Production Research · doi:10.1080/00207543.2022.2104181 · Cited by 61
How institutional pressures and systems characteristics shape customer acceptance of smart product-service systems
Kropp, E., & Totzek, D. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2020.10.008 · Cited by 61
A function-oriented optimising approach for smart product service systems at the conceptual design stage: A perspective from the digital twin framework
Wu, C., Chen, T., Li, Z., & We, L. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126597 · Cited by 64
Industrial internet of things-driven storage location assignment and order picking in a resource synchronization and sharing-based robotic mobile fulfillment system
Keung, K. L., Lee, C. K. M., & Ji, P. (2022) · Advanced Engineering Informatics · doi:10.1016/j.aei.2022.101540 · Cited by 62
Knowledge graph-driven decision support for manufacturing process: A graph neural network-based knowledge reasoning approach
Su, C., Jiang, Q., Han, Y., Wang, T., & He, Q. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.103098 · Cited by 66
A novel framework to evaluate innovation value proposition for smart product–service systems
Abdel-Basst, M., Mohamed, R. A., & Elhoseny, M. (2020) · Environmental Technology & Innovation · doi:10.1016/j.eti.2020.101036 · Cited by 59
Data-driven order correlation pattern and storage location assignment in robotic mobile fulfillment and process automation system
Keung, K. L., Lee, C. K. M., & Ji, P. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101369 · Cited by 59
A novel function-structure concept network construction and analysis method for a smart product design system
Liu, Q., Wang, K., Li, Y., Chen, C., & Li, W. (2022) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101502 · Cited by 57
Self-citation
Service-oriented manufacturing: A literature review and future research directions
Jiang, Z., Feng, G., Yi, Z., & Guo, X. (2021) · Frontiers of Engineering Management · doi:10.1007/s42524-021-0171-3 · Cited by 59
Autonomous vehicle solutions and their digital servitization business models
Leminen, S., Rajahonka, M., Wendelin, R., Westerlund, M., & Nyström, A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122070 · Cited by 56
Towards smart product-service systems 2.0: A retrospect and prospect
Ren, M., & Zheng, P. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102466 · Cited by 57
Self-citation
Developing and leveraging digital twins in engineering design
Anwer, N., Stark, R., Tao, F., & Erkoyuncu, J. A. (2025) · CIRP Annals · doi:10.1016/j.cirp.2025.05.002 · Cited by 58
Research on product-service systems: topic landscape and future trends
Barravecchia, F., Franceschini, F., Mastrogiacomo, L., & Zaki, M. (2021) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-04-2020-0164 · Cited by 58
Enhancing trusted synchronization in open production logistics: A platform framework integrating blockchain and digital twin under social manufacturing
Zhang, Z., Qu, T., Zhao, K., Zhang, K., Zhang, Y., Guo, W., Liu, L., & Chen, Z. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102404 · Cited by 56
From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product–service systems in Industry 4.0
Kim, M.-J., Lim, C., & Hsuan, J. (2023) · Computers in Industry · doi:10.1016/j.compind.2023.103908 · Cited by 61
A hypergraph-based approach for context-aware smart product-service system configuration
Wang, Z., Chen, C., Zheng, P., Li, X., & Song, W. (2021) · Computers & Industrial Engineering · doi:10.1016/j.cie.2021.107816 · Cited by 53
Self-citation
A hybrid intelligence approach for sustainable service innovation of smart and connected product: A case study
Bu, L., Chen, C., Zhang, G., Liu, B., Dong, G., & Yuan, X. (2020) · Advanced Engineering Informatics · doi:10.1016/j.aei.2020.101163 · Cited by 50
Self-citation
An integrated framework of user experience-oriented smart service requirement analysis for smart product service system development
Zhou, T., Chen, Z., Cao, Y. X., Miao, R., & Ming, X. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101458 · Cited by 52
Promoting employee health in smart office: A survey
Zhang, X., Zheng, P., Peng, T., He, Q., Lee, C. K. M., & Tang, R. (2022) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101518 · Cited by 53
Self-citation
Leveraging on causal knowledge for enhancing the root cause analysis of equipment spot inspection failures
Zhou, B., Li, J., Li, X., Hua, B., & Bao, J. (2022) · Advanced Engineering Informatics · doi:10.1016/j.aei.2022.101799 · Cited by 49
Design entropy theory: A new design methodology for smart PSS development
Cong, J., Chen, C., & Zheng, P. (2020) · Advanced Engineering Informatics · doi:10.1016/j.aei.2020.101124 · Cited by 48
Self-citation
Selection of design alternatives for smart product service system: A rough-fuzzy data envelopment analysis approach
Chen, Z., Ming, X., Wang, R., & Bao, Y. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.122931 · Cited by 47
imseStudio: blockchain-enabled secure digital twin platform for service manufacturing
Liu, X., Jiang, Y., Wang, Z., Zhong, R. Y., Cheung, H. H., & Huang, G. Q. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.2003462 · Cited by 48
Self-citation
How do manufacturing companies and service providers share knowledge in the context of servitization? An evolutionary-game model of complex networks
Ma, R., Jiang, L., Wang, T., Wang, X., & Ruan, J. (2022) · International Journal of Production Research · doi:10.1080/00207543.2022.2079013 · Cited by 47
A rough‐Z‐number‐based DEMATEL to evaluate the co‐creative sustainable value propositions for smart product‐service systems
Zhu, G., & Hu, J. (2021) · International Journal of Intelligent Systems · doi:10.1002/int.22431 · Cited by 45
Service design for digital servitization: Facilitating manufacturers' advanced services value proposition design in the context of Industry 4.0
Iriarte, I., Hoveskog, M., Ngoc, H. N., Legarda, I., Uranga, M., Nazabal, M., & Atxa, A. (2023) · Industrial Marketing Management · doi:10.1016/j.indmarman.2023.02.015 · Cited by 57
A TRIZ-inspired knowledge-driven approach for user-centric smart product-service system: A case study on intelligent test tube rack design
Chang, D., Li, F., Xue, J., & Zhang, L. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.101901 · Cited by 45
Industry 4.0: a systematic review of legacy manufacturing system digital retrofitting
Alqoud, A., Schaefer, D., & Milisavljevic-Syed, J. (2022) · Manufacturing Review · doi:10.1051/mfreview/2022031 · Cited by 44
Building smart product-service systems capabilities for circular supply chains in the Industry 4.0 era
Bag, S., Gupta, S., Chan, H., & Kumar, A. (2024) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2024.103625 · Cited by 45
Conceptual design of a user-centric smart product-service system using self-organizing map
Cong, J., Chen, C., Meng, X., Xiang, Z., & Dong, L. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2022.101857 · Cited by 41
Self-citation
A transfer learning CNN-LSTM network-based production progress prediction approach in IIoT-enabled manufacturing
Liu, C., Zhu, H., Tang, D., Nie, Q., Li, S., Zhang, Y., & Liu, X. (2022) · International Journal of Production Research · doi:10.1080/00207543.2022.2056860 · Cited by 41
Towards emerging Industry 5.0 – a review-based framework
Ashalakshmy, Pillai, S. V., & Kumar, S. A. (2024) · Journal of strategy and management · doi:10.1108/jsma-04-2023-0067 · Cited by 44
A function-oriented biologically analogical approach for constructing the design concept of smart product in Industry 4.0
Cao, G., Sun, Y., Tan, R., Zhang, J., & We, L. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101352 · Cited by 41
Cooperative surveillance systems and digital-technology enabler for a real-time standard terminal arrival schedule displacement
Xue, D., Hsu, L., Wu, C., Lee, C., & Ng, K. K. H. (2021) · Advanced Engineering Informatics · doi:10.1016/j.aei.2021.101402 · Cited by 40
From Goods to Services and from Linear to Circular: The Role of Servitization’s Challenges and Drivers in the Shifting Process
Hidalgo-Carvajal, D., Carrasco‐Gallego, R., & Morales‐Alonso, G. (2021) · Sustainability · doi:10.3390/su13084539 · Cited by 41
Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles
Xie, Y., Zhou, R., Chan, A. H. S., Jin, M., & Qu, M. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1078438 · Cited by 40
Smart experience-oriented customer requirement analysis for smart product service system: A novel hesitant fuzzy linguistic cloud DEMATEL method
Zhou, T., Ming, X., Han, T., Bao, Y., Liao, X., Tong, Q., Liu, S., Guan, H., & Chen, Z. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.101917 · Cited by 37
Modularization of smart product service: A framework integrating smart product service blueprint and weighted complex network
Chen, Z., Ming, X., Vareilles, É., & Battaïa, O. (2020) · Computers in Industry · doi:10.1016/j.compind.2020.103302 · Cited by 37
Evolving to multi-modal knowledge graphs for engineering design: state-of-the-art and future challenges
Pan, X., Li, X., Li, Q., Hu, Z., & Bao, J. (2024) · Journal of Engineering Design · doi:10.1080/09544828.2023.2301230 · Cited by 40
A cyber-physical production monitoring service system for energy-aware collaborative production monitoring in a smart shop floor
Ding, K., Zhang, Y., Chan, F. T. S., Zhang, C., Lv, J., Liu, Q., Leng, J., & Fu, H. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126599 · Cited by 36

Authors: Zheng, P., Wang, Z., Chen, C.-H., & Pheng Khoo, L.
Affiliations: Nanyang Technological University (SG)
Corresponding author: Zheng, Pai
ORCID: Zheng, Pai
Wang, Zuoxu
Chen, Chun-Hsien
Venue: Advanced Engineering Informatics
Publisher: Elsevier BV
Published: 2019-10
Volume: 42
Pages: 100973
ISSN: 1474-0346 (ISSN-L)
DOI: 10.1016/j.aei.2019.100973
OpenAlex: W2970223503
Cited by: 377
References: 130
Citations by year: 2026: 27 · 2025: 42 · 2024: 69 · 2023: 65 · 2022: 72 · 2021: 67 · 2020: 32 · 2019: 3
FWCI: 53.74
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Advanced Engineering Informatics (publishedVersion)
Funders: National Research Foundation Singapore
Topics: Social Sciences › Business, Management and Accounting › Marketing › Service and Product Innovation
Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
Keywords: smart product-service systems, digital servitization, servitization, digitalization, service business models, product-service systems, self-adaptive systems, sustainability, IT infrastructure

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

A survey of smart product-service systems: Key aspects, challenges and future perspectives

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks