IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v24y2022i5d10.1007_s10796-021-10171-3.html
   My bibliography  Save this article

Operational Performance Evaluation of E-government Microblogs Under Emergencies Based on a DEA Method

Author

Listed:
  • Qingqi Long

    (Zhejiang University of Finance & Economics)

  • Ke Song

    (Zhejiang University of Finance & Economics)

Abstract

Microblogging has become a crucial channel for e-governments to interact with the public and has been evolving as a powerful and promising tool to address emergency management. The operational performance of an e-government microblog under emergencies plays a key role in shaping the e-government’s overall performance. This study creatively proposes a novel multi-indicator system for evaluating this operational performance in the life cycles of emergencies and applies these multiple indicators in a data envelopment analysis method to establish an evaluation model. Twenty-four e-government microblogs concentrating on the bus crash emergency in the Wanzhou district of Chongqing city are evaluated by this model. The evaluation results indicate that the proposed multi-indicator system and evaluation model are feasible and effective. This study’s findings indicate that e-governments should be encouraged to attach great importance to microblogs, pay direct attention to emergencies during their life cycles, concentrate on multi-stage evaluations to discover their performance changes across the “turning points” of emergencies, and collaborate with superior or subordinate e-governments to improve their microblogs’ operational performances.

Suggested Citation

  • Qingqi Long & Ke Song, 2022. "Operational Performance Evaluation of E-government Microblogs Under Emergencies Based on a DEA Method," Information Systems Frontiers, Springer, vol. 24(5), pages 1-18, October.
    • Handle: RePEc:spr:infosf:v:24:y:2022:i:5:d:10.1007_s10796-021-10171-3
    DOI: 10.1007/s10796-021-10171-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-021-10171-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-021-10171-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Wei & Wang, Meng & Zhu, Yan-chun, 2020. "Does government information release really matter in regulating contagion-evolution of negative emotion during public emergencies? From the perspective of cognitive big data analytics," International Journal of Information Management, Elsevier, vol. 50(C), pages 498-514.
    2. John S. Liu & Louis Y. Y. Lu & Wen-Min Lu, 2016. "Research Fronts and Prevailing Applications in Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 543-574, Springer.
    3. Robert I. Ogie & Hugh Forehead & Rodney J. Clarke & Pascal Perez, 2018. "Participation Patterns and Reliability of Human Sensing in Crowd-Sourced Disaster Management," Information Systems Frontiers, Springer, vol. 20(4), pages 713-728, August.
    4. Isabel Narbón-Perpiñá & Maria Balaguer-Coll & Emili Tortosa-Ausina, 2019. "Evaluating local government performance in times of crisis," Local Government Studies, Taylor & Francis Journals, vol. 45(1), pages 64-100, January.
    5. Li, Lifang & Zhang, Qingpeng & Tian, Jun & Wang, Haolin, 2018. "Characterizing information propagation patterns in emergencies: A case study with Yiliang Earthquake," International Journal of Information Management, Elsevier, vol. 38(1), pages 34-41.
    6. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    7. Lingzi Hong & Cheng Fu & Jiahui Wu & Vanessa Frias-Martinez, 2018. "Information Needs and Communication Gaps between Citizens and Local Governments Online during Natural Disasters," Information Systems Frontiers, Springer, vol. 20(5), pages 1027-1039, October.
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    9. Lee, Seonghee & Lee, Hakyeon, 2015. "Measuring and comparing the R&D performance of government research institutes: A bottom-up data envelopment analysis approach," Journal of Informetrics, Elsevier, vol. 9(4), pages 942-953.
    10. Saptarshi Ghosh & Kripabandhu Ghosh & Debasis Ganguly & Tanmoy Chakraborty & Gareth J. F. Jones & Marie-Francine Moens & Muhammad Imran, 2018. "Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(5), pages 901-907, October.
    11. Babak Abedin & Abdul Babar, 2018. "Institutional vs. Non-institutional use of Social Media during Emergency Response: A Case of Twitter in 2014 Australian Bush Fire," Information Systems Frontiers, Springer, vol. 20(4), pages 729-740, August.
    12. Cook, Wade D. & Tone, Kaoru & Zhu, Joe, 2014. "Data envelopment analysis: Prior to choosing a model," Omega, Elsevier, vol. 44(C), pages 1-4.
    13. Chun-Chu Liu & Tse-Yu Wang & Guang-Zhuang Yu, 2019. "Using AHP, DEA and MPI for governmental research institution performance evaluation," Applied Economics, Taylor & Francis Journals, vol. 51(10), pages 983-994, February.
    14. Fang Liu & Dongming Xu, 2018. "Social Roles and Consequences in Using Social Media in Disasters: a Structurational Perspective," Information Systems Frontiers, Springer, vol. 20(4), pages 693-711, August.
    15. Lin, Ming-Ian & Lee, Yuan-Duen & Ho, Tsai-Neng, 2011. "Applying integrated DEA/AHP to evaluate the economic performance of local governments in China," European Journal of Operational Research, Elsevier, vol. 209(2), pages 129-140, March.
    16. Martínez-Rojas, María & Pardo-Ferreira, María del Carmen & Rubio-Romero, Juan Carlos, 2018. "Twitter as a tool for the management and analysis of emergency situations: A systematic literature review," International Journal of Information Management, Elsevier, vol. 43(C), pages 196-208.
    17. Panagiotopoulos, Panos & Barnett, Julie & Bigdeli, Alinaghi Ziaee & Sams, Steven, 2016. "Social media in emergency management: Twitter as a tool for communicating risks to the public," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 86-96.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Milad Mirbabaie & Deborah Bunker & Stefan Stieglitz & Annika Deubel, 0. "Who Sets the Tone? Determining the Impact of Convergence Behaviour Archetypes in Social Media Crisis Communication," Information Systems Frontiers, Springer, vol. 0, pages 1-13.
    2. Milad Mirbabaie & Deborah Bunker & Stefan Stieglitz & Annika Deubel, 2020. "Who Sets the Tone? Determining the Impact of Convergence Behaviour Archetypes in Social Media Crisis Communication," Information Systems Frontiers, Springer, vol. 22(2), pages 339-351, April.
    3. Vladimír Holý, 2022. "The impact of operating environment on efficiency of public libraries," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 395-414, March.
    4. Toloo, Mehdi & Hančlová, Jana, 2020. "Multi-valued measures in DEA in the presence of undesirable outputs," Omega, Elsevier, vol. 94(C).
    5. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    6. Yanxin Wang & Jian Li & Xi Zhao & Gengzhong Feng & Xin (Robert) Luo, 2020. "Using Mobile Phone Data for Emergency Management: a Systematic Literature Review," Information Systems Frontiers, Springer, vol. 22(6), pages 1539-1559, December.
    7. Svetlana V. Ratner & Artem M. Shaposhnikov & Andrey V. Lychev, 2023. "Network DEA and Its Applications (2017–2022): A Systematic Literature Review," Mathematics, MDPI, vol. 11(9), pages 1-24, May.
    8. Ghassan Beydoun & Sergiu Dascalu & Dale Dominey-Howes & Andrew Sheehan, 2018. "Disaster Management and Information Systems: Insights to Emerging Challenges," Information Systems Frontiers, Springer, vol. 20(4), pages 649-652, August.
    9. Ioannis E. Tsolas, 2020. "Financial Performance Assessment of Construction Firms by Means of RAM-Based Composite Indicators," Mathematics, MDPI, vol. 8(8), pages 1-16, August.
    10. Mohd Chachuli, Fairuz Suzana & Ahmad Ludin, Norasikin & Md Jedi, Muhamad Alias & Hamid, Norul Hisham, 2021. "Transition of renewable energy policies in Malaysia: Benchmarking with data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    11. Habib Zare Ahmadabadi & Fatemeh Zamzam & Ali Emrouznejad & Alireza Naser Sadrabadi & Ali Morovati Sharifabadi, 2024. "A modified distance friction minimization model with optimistic–pessimistic target orientation for OECD sustainable performance measurement," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 23113-23149, September.
    12. Wen-Min Lu & Qian Long Kweh & Kai-Chu Yang, 2022. "Multiplicative efficiency aggregation to evaluate Taiwanese local auditing institutions performance," Annals of Operations Research, Springer, vol. 315(2), pages 1243-1262, August.
    13. Chen, Ya & Tsionas, Mike G. & Zelenyuk, Valentin, 2021. "LASSO+DEA for small and big wide data," Omega, Elsevier, vol. 102(C).
    14. Joe Zhu, 2022. "DEA under big data: data enabled analytics and network data envelopment analysis," Annals of Operations Research, Springer, vol. 309(2), pages 761-783, February.
    15. Utsav Pandey & Sanjeet Singh, 2022. "Data envelopment analysis in hierarchical category structure with fuzzy boundaries," Annals of Operations Research, Springer, vol. 315(2), pages 1517-1549, August.
    16. Lijuan Zuo & Hongchang Li & Hongyan Gao & Man Zhu, 2022. "The Sustainable Efficiency Improvement of Internet Companies under the Background of Digital Transformation," Sustainability, MDPI, vol. 14(9), pages 1-16, May.
    17. Qian Liu & Bo Li & Muhammad Mohiuddin, 2018. "Prediction and Decomposition of Efficiency Differences in Chinese Provincial Community Health Services," IJERPH, MDPI, vol. 15(10), pages 1-14, October.
    18. Łukasz Brzezicki, 2020. "The Efficiency of Public and Private Higher Education Institutions in Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 33-51.
    19. Feng Yang & Lijing Jiang & Sheng Ang, 2019. "A winner-take-all evaluation in data envelopment analysis," Annals of Operations Research, Springer, vol. 278(1), pages 141-158, July.
    20. Piran, Fabio Sartori & Lacerda, Daniel Pacheco & Camanho, Ana S. & Silva, Maria C.A., 2021. "Internal benchmarking to assess the cost efficiency of a broiler production system combining data envelopment analysis and throughput accounting," International Journal of Production Economics, Elsevier, vol. 238(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:24:y:2022:i:5:d:10.1007_s10796-021-10171-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.