影响大数据采用和企业绩效的因素评估：来自新兴经济体的证据

IF 4.4 4区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Enterprise Information Systems Pub Date : 2023-06-02 DOI:10.1080/17517575.2023.2218160

Mahak Sharma, Ruchita Gupta, Rajat Sehrawat, Karuna Jain, A. Dhir

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引用次数: 2

摘要

目前的研究调查和优先考虑大数据采用(BDA)的17个决定因素，并利用技术，组织和环境(TOE)框架建立这些决定因素和公司在旅游和酒店业绩效之间的因果关系。采用半结构化访谈和多标准决策(MCDM)收集28位行业专家的数据。“大数据质量”是影响最大的决定因素，而“贸易伙伴压力”是影响最小的决定因素。这项研究的结果强调，全球各国政府需要提出和实施政策，以缩小数字鸿沟并加强标准化。

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The assessment of factors influencing Big data adoption and firm performance: Evidences from emerging economy

ABSTRACT The current study investigates and prioritizes 17 determinants of big data adoption (BDA) and establishes causality between these determinants’ and firms’ performance in the tourism and hospitality sector using technology, organisation & environment (TOE) framework. Semi-structured interviews and multi-criteria decision-making (MCDM) were utilized to gather data from 28 industry experts. “Big data quality” ranked as the most influential determinant, while “trading partner pressure” ranked as the least influential determinant. This study’s findings highlight the need for governments across the globe to propose and implement policies to reduce the digital divide and enhance standardization.

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来源期刊

Enterprise Information Systems 工程技术-计算机：信息系统

CiteScore

11.00

自引率

6.80%

发文量

审稿时长

6 months

期刊介绍： Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.