The impact of big data on firm performance in hotel industry

Yadegaridehkordi, Elaheh; Nilashi, Mehrbakhsh; Shuib, Liyana; Nasir, Mohd Hairul Nizam Md; Asadi, Shahla; Samad, Sarminah; Awang, Nor Fatimah

doi:10.1016/j.elerap.2019.100921

Cited by 102 publications

(119 citation statements)

References 64 publications

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“…At present, most of the areas of business are linked to big data. It has significant influence on various perspectives of business such as business process management, human resources management, R&D management [8,63], business analytics [19,26,42,59,63], B2B business process, marketing, and sales [30,39,53,58], industrial manufacturing process [7,15,40], enterprise's operational performance measurement [20,69,81], policy making [2], supply chain management, decision, and performance [4,38,64], and so other business arenas.…”

Section: Literature Reviewmentioning

confidence: 99%

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Current landscape and influence of big data on finance

2020

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In the age of technological innovation, various types of data are available with the advance of information technologies, and data is seen as one of the most valuable commodities in managing automation systems [13, 68]. In this sense, financial markets and technological evolution have become related to every human activity in the past few decades. Big data technology has become an integral part of the financial services industry and will continue to drive future innovation [12]. Financial innovations are also considered the fastest emerging issues in financial services. More specifically, they cover a variety of financial businesses such as online peer-to-peer lending, crowd-funding platforms, SME finance, wealth management and asset management platforms, trading management, crypto-currency, money/remittance transfer, mobile payments platforms, and so on. All of these services create thousands of pieces of data every day. Therefore,

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Section: Literature Reviewmentioning

confidence: 99%

“…Also big data appeared as a frontier of the opportunity in improving firm performance. Yadegaridehkordi et al [81] hypothesized that big data adoption has positive effect on firm performance. That study also mentioned that the policy makers, governments, and businesses can take well-informed decisions in adopting big data.…”

Section: Literature Reviewmentioning

confidence: 99%

Current landscape and influence of big data on finance

2020

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“…Most studies have been conducted in the developed world on the use of BDA. More analysis needs to be done in the sense of less developed and developing countries [10].…”

Section: Introductionmentioning

confidence: 99%

The Adoption of Big Data Analytics Among Manufacturing Small and Medium Enterprises During Covid-19 Crisis in Malaysia

Loh¹,

Teoh²

2021

Advances in Economics, Business and Management Research

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Global epidemic Coronavirus Disease 2019 (COVID-19) has a significant impact on the global economy. The Big Data Analytics (BDA), which helps businesses to obtain useful insights, is seen as a new strategic weapon in industry particularly during this challenging time. This study investigated the influence of technological factors on BDA adoption among Malaysian manufacturing Small and Medium Enterprises (SMEs). The data was collected from 185 manufacturing SMEs in Malaysia and analysed using SmartPLS version 3.3.2. This study uncovers significant technological factors that drive BDA adoption and highlight the role of technological resource competency as a mediator in this model. The findings contribute to the Malaysian SMEs to strategize BDA adoption in today's dynamic business environment, and can be a reference to ASEAN developing nations as well.

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“…This adoption process is widely studied in different sectors such as healthcare (Chen et al, 2020 ), industrial (McMahon et al, 2020 ), or tourism (Yadegaridehkordi et al, 2020 ) although all of them refer to generic Big Data techniques while there is little literature on the adoption process of Big Data Analytics (Maroufkhani et al, 2020 ) as can be seen check from the appropriate literature review (Inamdar et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Predicting Big Data Adoption in Companies With an Explanatory and Predictive Model

et al. 2021

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The purpose of this paper is to identify the factors that affect the intention to use Big Data Applications in companies. Research into Big Data usage intention and adoption is scarce and much less from the perspective of the use of these techniques in companies. That is why this research focuses on analyzing the adoption of Big Data Applications by companies. Further to a review of the literature, it is proposed to use a UTAUT model as a starting model with the update and incorporation of other variables such as resistance to use and perceived risk, and then to perform a neural network to predict this adoption. With respect to this non-parametric technique, we found that the multilayer perceptron model (MLP) for the use of Big Data Applications in companies obtains higher AUC values, and a better confusion matrix. This paper is a pioneering study using this hybrid methodology on the intention to use Big Data Applications. The result of this research has important implications for the theory and practice of adopting Big Data Applications.

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The impact of big data on firm performance in hotel industry

Cited by 102 publications

References 64 publications

Current landscape and influence of big data on finance

Current landscape and influence of big data on finance

The Adoption of Big Data Analytics Among Manufacturing Small and Medium Enterprises During Covid-19 Crisis in Malaysia

Predicting Big Data Adoption in Companies With an Explanatory and Predictive Model

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