The impact of big data on firm performance in hotel industry

Yadegaridehkordi, Elaheh and Nilashi, Mehrbakhsh and Shuib, Liyana and Md Nasir, Mohd Hairul Nizam and Asadi, Shahla and Samad, Sarminah and Fatimah Awang, Nor (2020) The impact of big data on firm performance in hotel industry. Electronic Commerce Research and Applications, 40. p. 100921. ISSN 1567-4223

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Official URL: https://doi.org/10.1016/j.elerap.2019.100921

Abstract

Big data has increasingly appeared as a frontier of opportunity in enhancing firm performance. However, it still is in early stages of introduction and many enterprises are still un-decisive in its adoption. The aim of this study is to propose a theoretical model based on integration of Human-Organization-Technology fit and Technology-Organization-Environment frameworks to identify the key factors affecting big data adoption and its consequent impact on the firm performance. The significant factors are gained from the literature and the research model is developed. Data was collected from top managers and/or owners of SMEs hotels in Malaysia using online survey questionnaire. Structural Equation Modelling (SEM) is used to assess the developed model and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) technique is used to prioritize adoption factors based on their importance levels. The results showed that relative advantage, management support, IT expertise, and external pressure are the most important factors in the technological, organizational, human, and environmental dimensions. The results further revealed that technology is the most important influential dimension. The outcomes of this study can assist the policy makers, businesses and governments to make well-informed decisions in adopting big data. © 2019 Elsevier B.V.

Item Type: Article
Uncontrolled Keywords: Firm performance; Big data; Hotel industry; Fuzzy logic; Structural equation modelling
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 05 Jun 2020 03:39
Last Modified: 05 May 2021 04:23
URI: http://eprints.um.edu.my/id/eprint/24685

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