Research on Performance Improvement Path of Municipal Government Websites—Based on Dynamic Capability Theory and fsQCA Method

Junhan Chen

doi:10.62177/apemr.v3i7.1668

Authors

Junhan Chen Shandong Technology and Business University

DOI:

https://doi.org/10.62177/apemr.v3i7.1668

Keywords:

Dynamic Capability Theory, Government Website Performance, Fuzzy Set Qualitative Comparative Analysis Method

Abstract

Grounded in dynamic capability theory, this study employs fsQCA methodology to conduct configurational analysis on performance disparities among 15 municipal government websites in Shandong Province, investigating the synergistic mechanisms of resource integration, technological innovation, and service optimization. The findings reveal five distinct pathways to high-performance government websites, where resource aggregation and transmission capabilities form foundational support, while big data applications and innovative practices play supplementary roles context-dependent, demonstrating "multi-concurrent" characteristics in performance enhancement. Breaking away from traditional linear analytical frameworks, the study provides theoretical basis for "city-specific strategies" in local government website development. Regions with robust digital infrastructure should prioritize data governance and intelligent services, whereas resource-constrained areas should focus on enhancing basic functionalities and public engagement mechanisms, thereby promoting differentiated development in digital government construction.

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References

Guangqian, L. (2004). How to understand and improve government portal websites? E-Government, (1), 95-101.

Zhigeng, L., & Hao, Q. (2011). Construction and maintenance of government websites. Beijing: Beijing Personnel Publishing House.

General Office of the State Council. (2014). Opinions of the General Office of the State Council on strengthening information content construction of government websites (State Council General Office Document No. 57 [2014]).

Cyberspace Administration of China. (2021). The national internet information office released the "Digital China Development Report (2020)" [EB/OL]. Retrieved March, 2023.

Wenfeng, S., & Guangwei, H. (2018). Patterns of electronic government service capability disparities in mainland China from a governmental dimension perspective. Journal of Intelligence, 37(5), 161-168+188.

Lingling, J., & Hongfei, D. (2021). Research on influencing factors and characteristics of public access to government websites: An analysis based on annual work reports of 31 provincial government portal websites. Social Policy Research, (1), 67-80.

Electronic Government Research Center of the Central Party School (National Academy of Governance). (2022). Release of "Evaluation Report on Integrated Government Service Capabilities of Provincial Governments and Key Cities (2022)" [EB/OL]. Retrieved March, 2023.

CCID Consulting. (2022). "2022 China Digital Economy Development Research Report" [EB/OL]. Retrieved March, 2023.

Jun, M. (2023). Research on performance level of China provincial government portal websites [Master’s thesis]. Hangzhou Normal University.

Jun, H. (2007). Research on evaluation model for government portal websites based on analytic hierarchy process: A case study of 11 prefecture-level city government portal websites in Zhejiang province. Library Science Research, (12), 87-93.

Zheng, H., Guibo, W., & Wen, L. (2010). Performance evaluation of Chinese government portal websites based on fuzzy analytic hierarchy process: A case study of City A's government portal website. Enterprise Guide, (4), 270-271.

Hao, F., Weiwei, L., & Manmei, L. (2006). Empirical analysis of regional marketing performance of local government portal websites: A case study of 15 sub-provincial cities. Urban Issues, (5), 68-72+91.

Hua, L., & Xiaodong, X. (2013). Research on provincial e-government performance evaluation based on data envelopment analysis. Modern Intelligence, 33(8), 73-78+97.

Huaqiong, Y. (2011). Research on comprehensive evaluation of government portal websites based on CRM-BSC [Master’s thesis]. Central South University.

Lian, R., & Xi, Z. (2022). Influencing factors of data security management performance in provincial government data openness: A qualitative comparative analysis based on 20 provincial government samples. Information Science, 40(6), 59-65+81.

Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509-533. DOI: https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z

Kunpeng, Y., & Wei, L. (2021). Research on big data empowering manufacturing enterprises' transformation and development from the perspective of organizational inertia. Scientific Decision-making, (11), 49-65.

Jiayuan, C. (2023). Exploration of development pathways for the "digital government integrated service platform". News Sentinel, (15), 26-27. DOI: https://doi.org/10.2979/esj.00004

Jun, X. (2023). Research on enhancing government website service capabilities from the perspective of digital government. Journal of Beijing University of Chemical Technology (Social Sciences Edition), (2), 42-48.

Huang, M. C., Yen, G. F., & Liu, T. C. (2014). Reexamining supply chain integration and the supplier's performance relationships under uncertainty. Supply Chain Management: An International Journal, 19(1), 64-78. DOI: https://doi.org/10.1108/SCM-04-2013-0114

Weihong, X., Gao, L., & Tianhui, W. (2016). Research on the connotation, dimensions of big data capability and its relationship with group control. Science and Technology Management Research, 36(14), 170-177.

Pavlou, P. A., & El Sawy, O. A. (2010). The “third hand”: IT-enabled competitive advantage in turbulence through improvisational capabilities. Information Systems Research, 21(3), 443-471. DOI: https://doi.org/10.1287/isre.1100.0280

Roberts, N., Campbell, D. E., & Vijayasarathy, L. R. (2016). Using information systems to sense opportunities for innovation: Integrating postadoptive use behaviors with the dynamic managerial capability perspective. Journal of Management Information Systems, 33(1), 45-69. DOI: https://doi.org/10.1080/07421222.2016.1172452

Jiabin, Y., Xiao, L., & Xiaoping, Y. (2021). Agricultural digital transformation from the perspective of innovation ecosystem theory: Driving factors, strategic framework, and implementation pathways. Agricultural Economic Issues, (7), 101-116.

Fiss, P. C. (2011). Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393-420. DOI: https://doi.org/10.5465/amj.2011.60263120

Zhang, M., & Du, Y. Z. (2019). Application of QCA method in organizational and management research: Positioning, strategies, and directions. Journal of Management Science, 16(9), 1312.