The impact of big data on firm performance in hotel industry
| Autor: | Mohd Hairul Nizam Md Nasir, Shahla Asadi, Liyana Shuib, Mehrbakhsh Nilashi, Nor Fatimah Awang, Elaheh Yadegaridehkordi, Sarminah Samad |
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| Rok vydání: | 2020 |
| Předmět: |
Marketing
Adaptive neuro fuzzy inference system Knowledge management Computer Networks and Communications business.industry 05 social sciences Big data Inference 02 engineering and technology Fuzzy logic Structural equation modeling Computer Science Applications Frontier 020204 information systems Management of Technology and Innovation 0502 economics and business 0202 electrical engineering electronic engineering information engineering 050211 marketing Business Dimension (data warehouse) Hotel industry |
| Zdroj: | Electronic Commerce Research and Applications. 40:100921 |
| ISSN: | 1567-4223 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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