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Evaluating the Enhancement of Corporate Social Responsibility Websites Quality Based on a New Hybrid MADM Model

Author

Listed:
  • Fu Hsiang Chen

    (Department of Accounting, Chinese Culture University, No. 55, Hwa-Kang Road, Taipei 11114, Taiwan)

  • Gwo-Hshiung Tzeng

    (Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, 151, University Rd., San Shia District, New Taipei City 23741, Taiwan)

  • Chih Chieh Chang

    (Department of Accounting, Chinese Culture University, No. 55, Hwa-Kang Road, Taipei 11114, Taiwan)

Abstract

Corporations would utilize advanced information technologies for generating corporate social responsibility (CSR) reports and communicating with their stakeholders. However, corporations often could not determine whether their CSR websites are capable of effective communication with the stakeholders. The purpose of this study would be to analyze websites of benchmark companies for establishing an evaluation model to be a reference for CSR website design. Information from expert interviews carried out in this study underwent DEMATEL method for analyzing the mutual relationships between the quality criteria and dimensions of CSR websites. DANP was then used to calculate the weight of each criterion. Finally, we would make use VIKOR method to prioritize the performance CSR website satisfaction. The following provides the recommended improvement priorities according to results of the expert interviews:service quality(C) followed byinformation quality(B) followed bytechnical quality(A).

Suggested Citation

  • Fu Hsiang Chen & Gwo-Hshiung Tzeng & Chih Chieh Chang, 2015. "Evaluating the Enhancement of Corporate Social Responsibility Websites Quality Based on a New Hybrid MADM Model," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 697-724.
    • Handle: RePEc:wsi:ijitdm:v:14:y:2015:i:03:n:s0219622015500121
    DOI: 10.1142/S0219622015500121
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    Citations

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    Cited by:

    1. Kuang-Hua Hu & Wei Jianguo & Gwo-Hshiung Tzeng, 2017. "Risk Factor Assessment Improvement for China’s Cloud Computing Auditing Using a New Hybrid MADM Model," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 737-777, May.
    2. Yupeng Liu & Yutao Yang & Yue Liu & Gwo-Hshiung Tzeng, 2019. "Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method," Sustainability, MDPI, vol. 11(3), pages 1-29, January.
    3. Mahtab Forootan Danesh & Mohammad Reza Dahmardeh Ghaleno & Ehsan Alvandi & Sarita Gajbhiye Meshram & Ercan Kahya, 2020. "RETRACTED ARTICLE: Predicting the Impacts of Optimal Residential Development Scenario on Soil Loss Caused by Surface Runoff and Raindrops Using TOPSIS and WetSpa Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(10), pages 3257-3277, August.
    4. Animesh Debnath & Jagannath Roy & Samarjit Kar & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene, 2017. "A Hybrid MCDM Approach for Strategic Project Portfolio Selection of Agro By-Products," Sustainability, MDPI, vol. 9(8), pages 1-33, July.
    5. Kuang-Hua Hu & Fu-Hsiang Chen & Gwo-Hshiung Tzeng, 2016. "Evaluating the Improvement of Sustainability of Sports Industry Policy Based on MADM," Sustainability, MDPI, vol. 8(7), pages 1-21, June.
    6. Pei-Hsuan Tsai & Chin-Tsai Lin, 2018. "How Should National Museums Create Competitive Advantage Following Changes in the Global Economic Environment?," Sustainability, MDPI, vol. 10(10), pages 1-20, October.
    7. Yang Yang & Lin Guo & Zhuling Zhong & Mu Zhang, 2018. "Selection of Technological Innovation for Service-Orientated Enterprises," Sustainability, MDPI, vol. 10(11), pages 1-13, October.
    8. Kuang-Hua Hu & Ming-Fu Hsu & Fu-Hsiang Chen & Mu-Ziyun Liu, 2021. "Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
    9. Rekik, Rim & Kallel, Ilhem & Casillas, Jorge & Alimi, Adel M., 2018. "Assessing web sites quality: A systematic literature review by text and association rules mining," International Journal of Information Management, Elsevier, vol. 38(1), pages 201-216.

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