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Exploring mobile banking services for user behavior in intention adoption: using new hybrid MADM model

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  • Ming-Tsang Lu
  • Gwo-Hshiung Tzeng
  • Hilary Cheng
  • Chih-Cheng Hsu

Abstract

Mobile banking services are one of the most promising recent technological innovations. In this study, we developed a conceptual model to explore mobile banking services for user behavior in the financial banking industry in intention adoption. The aim of this study is to explore the effect of user behavior and guidance on the mobile banking services intention adoption structure model among customers based on decomposed theory of planned behavior and trust-related behaviors based on the knowledge of experts. In this study, we use a new hybrid model, the multiple attribute decision making (MADM) model, which combines decision making trial and evaluation laboratory (DEMATEL) for building an influential network relationship map (INRM), DANP (DEMATEL-based ANP) for determining the influential weights of criteria, and the VIKOR method using the influential weights to evaluate and integrate the criteria in the gaps and reduce the gaps to satisfy the users’ behavior needs based on INRM. An empirical case of Taiwan’s financial banking industry is used as an example to demonstrate the application of the proposed hybrid MADM model and its efficiency. In the results, we find that the proposed user behavior framework can offer a deeper understanding of the variables/criteria that influence the interrelationship for the intention adoption of mobile banking services by DEMATEL technique. We can also combine the influential weights of DANP with weighting gaps using the VIKOR method to evaluate how to reduce these gaps and provide the best improvement strategies to satisfy the mobile banking services for users’ behavior needs. Copyright Springer-Verlag Berlin Heidelberg 2015

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  • Ming-Tsang Lu & Gwo-Hshiung Tzeng & Hilary Cheng & Chih-Cheng Hsu, 2015. "Exploring mobile banking services for user behavior in intention adoption: using new hybrid MADM model," Service Business, Springer;Pan-Pacific Business Association, vol. 9(3), pages 541-565, September.
  • Handle: RePEc:spr:svcbiz:v:9:y:2015:i:3:p:541-565
    DOI: 10.1007/s11628-014-0239-9
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    10. Shareef, Mahmud Akhter & Baabdullah, Abdullah & Dutta, Shantanu & Kumar, Vinod & Dwivedi, Yogesh K., 2018. "Consumer adoption of mobile banking services: An empirical examination of factors according to adoption stages," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 54-67.
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    14. Stephen C. Wingreen & Natasha C. H. L. Mazey & Stephen L. Baglione & Gordon R. Storholm, 2019. "Transfer of electronic commerce trust between physical and virtual environments: experimental effects of structural assurance and situational normality," Electronic Commerce Research, Springer, vol. 19(2), pages 339-371, June.
    15. M. Minsuk Shin & Eun Jeong Noh & Jiwon Lee, 2018. "Study abroad programs as a service convergence: an international marketing approach," Service Business, Springer;Pan-Pacific Business Association, vol. 12(2), pages 253-275, June.
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    17. Kuan-Wei Huang & Jen-Hung Huang & Gwo-Hshiung Tzeng, 2016. "New Hybrid Multiple Attribute Decision-Making Model for Improving Competence Sets: Enhancing a Company’s Core Competitiveness," Sustainability, MDPI, vol. 8(2), pages 1-26, February.
    18. Büyüközkan, Gülçin & Güleryüz, Sezin, 2016. "An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey," International Journal of Production Economics, Elsevier, vol. 182(C), pages 435-448.
    19. Adapa, Sujana & Fazal-e-Hasan, Syed Muhammad & Makam, Sathyaprakash Balaji & Azeem, Muhammad Masood & Mortimer, Gary, 2020. "Examining the antecedents and consequences of perceived shopping value through smart retail technology," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    20. Shih-Chia Chang & Ming-Tsang Lu & Mei-Jen Chen & Li-Hua Huang, 2021. "Evaluating the Application of CSR in the High-Tech Industry during the COVID-19 Pandemic," Mathematics, MDPI, vol. 9(15), pages 1-16, July.
    21. Chi-Yo Huang & Pei-Han Chung & Joseph Z. Shyu & Yao-Hua Ho & Chao-Hsin Wu & Ming-Che Lee & Ming-Jenn Wu, 2018. "Evaluation and Selection of Materials for Particulate Matter MEMS Sensors by Using Hybrid MCDM Methods," Sustainability, MDPI, vol. 10(10), pages 1-35, September.

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