Zhujun Wang

@linkedin.com

Department of Civil and Environmental Engineering
Washington State University

Zhujun Wang


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https://researchid.co/zhujunwang

RESEARCH, TEACHING, or OTHER INTERESTS

Management Information Systems, Decision Sciences, Artificial Intelligence, Management Science and Operations Research
10

Scopus Publications

407

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

Scopus Publications

  • Enhancing the sustainability and robustness of critical material supply in electrical vehicle market: an AI-powered supplier selection approach
    Zhu-Jun Wang, Zhen-Song Chen, Qin Su, Kwai-Sang Chin, Witold Pedrycz, et al.
    Annals of Operations Research, 2024
  • Smart Contract Application in Resisting Extreme Weather Risks for the Prefabricated Construction Supply Chain: Prototype Exploration and Assessment
    Zhu-Jun Wang, Yangyang Sun, Qin Su, Muhammet Deveci, Kannan Govindan, et al.
    Group Decision and Negotiation, 2024
  • Optimal releasing strategy of enterprise software firms facing the competition from cloud providers
    Yangyang Sun, Zhu-Jun Wang, Muhammet Deveci, Zhen-Song Chen
    Expert Systems with Applications, 2024
  • Prioritizing real estate enterprises based on credit risk assessment: an integrated multi-criteria group decision support framework
    Zhen-Song Chen, Jia Zhou, Chen-Ye Zhu, Zhu-Jun Wang, Sheng-Hua Xiong, et al.
    Financial Innovation, 2023
    Credit risk assessment involves conducting a fair review and evaluation of an assessed subject’s solvency and creditworthiness. In the context of real estate enterprises, credit risk assessment provides a basis for banks and other financial institutions to choose suitable investment objects. Additionally, it encourages real estate enterprises to abide by market norms and provide reliable information for the standardized management of the real estate industry. However, Chinese real estate companies are hesitant to disclose their actual operating data due to privacy concerns, making subjective evaluation approaches inevitable, occupying important roles in accomplishing Chinese real estate enterprise credit risk assessment tasks. To improve the normative and reliability of credit risk assessment for Chinese real estate enterprises, this study proposes an integrated multi-criteria group decision-making approach. First, a credit risk assessment index for Chinese real estate enterprises is established. Then, the proposed framework combines proportional hesitant fuzzy linguistic term sets and preference ranking organization method for enrichment evaluation II methods. This approach is suitable for processing large amounts of data with high uncertainty, which is often the case in credit risk assessment tasks of Chinese real estate enterprises involving massive subjective evaluation information. Finally, the proposed model is validated through a case study accompanied by sensitivity and comparative analyses to verify its rationality and feasibility. This study contributes to the research on credit assessment for Chinese real estate enterprises and provides a revised paradigm for real estate enterprise credit risk assessment.
  • Blockchain adoption in sustainable supply chains for Industry 5.0: A multistakeholder perspective
    Zhu-Jun Wang, Zhen-Song Chen, Lu Xiao, Qin Su, Kannan Govindan, et al.
    Journal of Innovation and Knowledge, 2023
  • Fairness-aware large-scale collective opinion generation paradigm: A case study of evaluating blockchain adoption barriers in medical supply chain
    Zhen-Song Chen, Zhengze Zhu, Zhu-Jun Wang, Yungpo Tsang
    Information Sciences, 2023
  • Optimal versioning strategy of enterprise software considering the customer cost-acceptance level
    Zhu-Jun Wang, Yang-Yang Sun, Zhen‐Song Chen, Geng‐Zhong Feng, Qin Su
    Kybernetes, 2023
    PurposeThe emergence of the Software-as-a-service (SaaS) licensing model dramatically changes how enterprise software is released. Especially, it is favored by small and medium enterprises (SMEs) because of the cost-friendly feature. In contrast, many large enterprises (LEs) own relatively abundant budgets and prefer the on-premise software to fulfill demands through customization. Considering the differentiated cost-acceptance level among customers, this study aims to address the versioning problem of the enterprise software faced by software firms.Design/methodology/approachA two-point distribution model is formulated to calculate the maximal profits software firm earned from both LEs and SMEs under three strategies (On-premise, SaaS and Hybrid). Then through profit comparison, this paper obtains the optimal versioning strategy and corresponding feasible conditions. Finally, the optimal solutions are derived concerning social welfare.FindingsA significant finding is that moving to SaaS becomes necessary for the software firms in product releases since the on-premise strategy will not be optimal. Based on this, this paper discovers that when LEs own a cost-acceptance level close to that of SMEs, the hybrid strategy is the only optimal choice. When LEs become less sensitive to costs, the hybrid strategy is suggested if the customization cost falls below the threshold. Otherwise, the SaaS strategy becomes the optimal option. The conclusions explain why some software vendors transit to “cloud companies” thoroughly and provide practical insights for software firms’ future decisions.Originality/valueTo the best of the authors’ knowledge, this paper is the first information economics study to consider consumer cost sensitivity in discussing enterprise software versioning. The differentiated cost-acceptance level is introduced to describe the customer utilities, and the results uncover the necessity of moving to SaaS under diversified customer composition. This work provides significant theoretical value and practical insights.
  • Improving Lithium-Ion Battery Supply Chain Information Security by User Behavior Monitoring Algorithm Incorporated in Cloud Enterprise Resource Planning
    Zhujun Wang, Qin Su, Bi Wang, Jie Wang
    Sustainability Switzerland, 2023
    Cloud enterprise resource planning (Cloud ERP) provides an efficient big data management solution for lithium-ion battery (LiB) enterprises. However, in the open ecological environment, Cloud ERP makes the LiB supply chain face multi-user and multi-subject interactions, which can generate sensitive data and privacy data security issues (such as user override access behavior). In this study, we take the value and information interaction into account to examine the user behaviors of the diverse stakeholders in the LiB supply chain. Therefore, a user behavior monitoring algorithm (UBMA), different from the mainstream supervised algorithms and unsupervised learning algorithms, is proposed to monitor the unsafe behaviors that may threaten data privacy in Cloud ERP. The results show that the UBMA can accurately search out the user behavior sequence where the unsafe behavior is located from a large amount of user behavior information, which reduces the complexity of directly identifying the unsafe behavior. In addition, compared with the recursive unsupervised binary classification method, the UBMA model has a lower resource consumption and higher efficiency. In addition, the UBMA has great flexibility. The UBMA can be further updated and extended by re-establishing the statistical characteristics of the standard user behavior fields to quickly adapt to user changes and function upgrades in the LiB supply chain.
  • Assessing Spatial Synergy Between Integrated Urban Rail Transit System and Urban Form: A BULI-Based MCLSGA Model With the Wisdom of Crowds
    Jian-Peng Chang, Zhen-Song Chen, Zhu-Jun Wang, LeSheng Jin, Witold Pedrycz, et al.
    IEEE Transactions on Fuzzy Systems, 2023
  • Research on the construction of cloud ERP ecosystem security evaluation index system
    Zhujun Wang, Qin Su, Yue Fang
    Frontiers in Artificial Intelligence and Applications, 2020
    Cloud ERP system realizes the functions of ERP in the way of cloud service, which greatly improves the service level of ERP and reduces the cost for enterprise to use ERP. Cloud ERP system has the characteristics of open ecology, therefore the interactions between users increase, which brings data security risks to the cloud ERP platform. This paper discusses the security of cloud ERP system from the perspective of ecosystem, and puts forward the concept and connotation of cloud ERP ecosystem. The LDA method is used to analyze the literature related to the security of ecosystem and cloud ERP open ecology, based on which seven main themes are summarized. It mainly focuses on system risk assessment, information security management and platform ecosystem construction. Based on LDA analysis results, this paper constructs a cloud ERP ecosystem security evaluation system using expert interviews from three dimensions: developer ecosystem security, user ecosystem security and device-system-user ecosystem security.

RECENT SCHOLAR PUBLICATIONS

  • Enhancing the sustainability and robustness of critical material supply in electrical vehicle market: an AI-powered supplier selection approach
    ZJ Wang, ZS Chen, Q Su, KS Chin, W Pedrycz, MJ Skibniewski
    Annals of Operations Research 342 (1), 921-958 , 2024
    2024
    Citations: 35
  • Smart contract application in resisting extreme weather risks for the prefabricated construction supply chain: Prototype exploration and assessment
    ZJ Wang, Y Sun, Q Su, M Deveci, K Govindan, MJ Skibniewski, ZS Chen
    Group Decision and Negotiation 33 (5), 1049-1087 , 2024
    2024
    Citations: 18
  • Building Up Resilience of Construction Project Supply Chain to Natural Disasters: A Smart Contract-Based Solution
    MJS Zhujun WANG, Zhensong CHEN, Qin SU
    12th International Project Management Association Research Conference … , 2024
    2024
  • Optimal releasing strategy of enterprise software firms facing the competition from cloud providers
    Y Sun, ZJ Wang, M Deveci, ZS Chen
    Expert Systems with Applications 236, 121264 , 2024
    2024
    Citations: 20
  • Leveraging Smart Contracts to Improve Construction Supply Chain Agility During Emergencies
    MJS ZJ Wang, Q Su*
    INFORMS Auunal Meeting , 2024
    2024
  • Prioritizing real estate enterprises based on credit risk assessment: An integrated multi-criteria group decision support framework
    ZS Chen, J Zhou, CY Zhu, ZJ Wang, SH Xiong, RM Rodríguez, L Martínez, ...
    Financial innovation 9 (1), 120 , 2023
    2023
    Citations: 47
  • Blockchain adoption in sustainable supply chains for Industry 5.0: A multistakeholder perspective
    ZJ Wang, ZS Chen, L Xiao, Q Su, K Govindan, MJ Skibniewski
    Journal of Innovation & Knowledge 8 (4), 100425 , 2023
    2023
    Citations: 117
  • Fairness-aware large-scale collective opinion generation paradigm: A case study of evaluating blockchain adoption barriers in medical supply chain
    ZS Chen, Z Zhu, ZJ Wang, Y Tsang
    Information Sciences 635, 257-278 , 2023
    2023
    Citations: 108
  • Optimal versioning strategy of enterprise software considering the customer cost-acceptance level
    ZJ Wang, YY Sun, ZS Chen, GZ Feng, Q Su
    Kybernetes 52 (3), 997-1026 , 2023
    2023
    Citations: 10
  • Improving lithium-ion battery supply chain information security by user behavior monitoring algorithm incorporated in cloud enterprise resource planning
    Z Wang, Q Su, B Wang, J Wang
    Sustainability 15 (4), 3065 , 2023
    2023
    Citations: 11
  • Assessing spatial synergy between integrated urban rail transit system and urban form: A BULI-based MCLSGA model with the wisdom of crowds
    JP Chang, ZS Chen, ZJ Wang, LS Jin, W Pedrycz, L Martínez, ...
    IEEE Transactions on Fuzzy Systems 31 (2), 434-448 , 2022
    2022
    Citations: 41
  • Research on the Construction of Cloud ERP Ecosystem Security Evaluation Index System
    Z Wang, Q Su, Y Fang
    Fuzzy Systems and Data Mining VI: Proceedings of FSDM 2020, 580-588 , 2020
    2020
  • 3D 打印: 社会化制造模式的演化与分析
    刘威延， 王竹君
    创新科技, 19-23 , 2017
    2017

MOST CITED SCHOLAR PUBLICATIONS

  • Blockchain adoption in sustainable supply chains for Industry 5.0: A multistakeholder perspective
    ZJ Wang, ZS Chen, L Xiao, Q Su, K Govindan, MJ Skibniewski
    Journal of Innovation & Knowledge 8 (4), 100425 , 2023
    2023
    Citations: 117
  • Fairness-aware large-scale collective opinion generation paradigm: A case study of evaluating blockchain adoption barriers in medical supply chain
    ZS Chen, Z Zhu, ZJ Wang, Y Tsang
    Information Sciences 635, 257-278 , 2023
    2023
    Citations: 108
  • Prioritizing real estate enterprises based on credit risk assessment: An integrated multi-criteria group decision support framework
    ZS Chen, J Zhou, CY Zhu, ZJ Wang, SH Xiong, RM Rodríguez, L Martínez, ...
    Financial innovation 9 (1), 120 , 2023
    2023
    Citations: 47
  • Assessing spatial synergy between integrated urban rail transit system and urban form: A BULI-based MCLSGA model with the wisdom of crowds
    JP Chang, ZS Chen, ZJ Wang, LS Jin, W Pedrycz, L Martínez, ...
    IEEE Transactions on Fuzzy Systems 31 (2), 434-448 , 2022
    2022
    Citations: 41
  • Enhancing the sustainability and robustness of critical material supply in electrical vehicle market: an AI-powered supplier selection approach
    ZJ Wang, ZS Chen, Q Su, KS Chin, W Pedrycz, MJ Skibniewski
    Annals of Operations Research 342 (1), 921-958 , 2024
    2024
    Citations: 35
  • Optimal releasing strategy of enterprise software firms facing the competition from cloud providers
    Y Sun, ZJ Wang, M Deveci, ZS Chen
    Expert Systems with Applications 236, 121264 , 2024
    2024
    Citations: 20
  • Smart contract application in resisting extreme weather risks for the prefabricated construction supply chain: Prototype exploration and assessment
    ZJ Wang, Y Sun, Q Su, M Deveci, K Govindan, MJ Skibniewski, ZS Chen
    Group Decision and Negotiation 33 (5), 1049-1087 , 2024
    2024
    Citations: 18
  • Improving lithium-ion battery supply chain information security by user behavior monitoring algorithm incorporated in cloud enterprise resource planning
    Z Wang, Q Su, B Wang, J Wang
    Sustainability 15 (4), 3065 , 2023
    2023
    Citations: 11
  • Optimal versioning strategy of enterprise software considering the customer cost-acceptance level
    ZJ Wang, YY Sun, ZS Chen, GZ Feng, Q Su
    Kybernetes 52 (3), 997-1026 , 2023
    2023
    Citations: 10
  • Building Up Resilience of Construction Project Supply Chain to Natural Disasters: A Smart Contract-Based Solution
    MJS Zhujun WANG, Zhensong CHEN, Qin SU
    12th International Project Management Association Research Conference … , 2024
    2024
  • Leveraging Smart Contracts to Improve Construction Supply Chain Agility During Emergencies
    MJS ZJ Wang, Q Su*
    INFORMS Auunal Meeting , 2024
    2024
  • Research on the Construction of Cloud ERP Ecosystem Security Evaluation Index System
    Z Wang, Q Su, Y Fang
    Fuzzy Systems and Data Mining VI: Proceedings of FSDM 2020, 580-588 , 2020
    2020
  • 3D 打印: 社会化制造模式的演化与分析
    刘威延， 王竹君
    创新科技, 19-23 , 2017
    2017