大数据分析对组织可持续性的影响:自主研发和吸收能力的影响因素

IF 4.9 Q1 BUSINESS

International Journal of Engineering Business Management Pub Date : 2022-01-01 DOI:10.1177/18479790221141537

Muhammad Arshad, Chen Kun Yu, Aneela Qadir, Waqar Ahmad, M. Zubair Rafique

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引用次数: 1

摘要

本研究旨在了解大数据分析能力(BDAC)及其维度如何影响高速铁路的吸收能力和自主研发。以及吸收能力和研发自主性对组织长期可持续性的影响。对员工以及高铁规划、人力资源、研发和技术部门的负责人进行了调查。数据分析采用PLS-SEM，然后采用中介分析。BDAC增加了组织容忍变化的能力，并为管理层提供决策指导。本研究通过研究BDAC在高速列车长期发展中的作用，增加了吸收能力发展和研发活动自主性的知识体系。

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The impact of big data analytics on organizational sustainability: The influencing factors of autonomous research and development and absorptive capacity

This study aims to see how the big data analytics capability (BDAC) and its dimensions affect the absorptive capacity and autonomous R&D of high-speed railways. As well as their impact on the organization’s long-term sustainability, using the mediation of absorptive capacity and autonomy in R&D. Employees and the heads of the planning, HR, R&D, and technical departments of high-speed railways were polled for information. For data analysis, we used PLS-SEM, and then we employed mediation analysis. BDAC increases the organization’s ability to tolerate change and gives management instructions on making decisions. This study adds to the body of knowledge on absorptive capacity development and autonomy over R&D activities by investigating the role of BDAC in the long-term development of high-speed trains.

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来源期刊

International Journal of Engineering Business Management BUSINESS-

CiteScore

7.50

自引率

6.10%

发文量

审稿时长

15 weeks

期刊介绍： The International Journal of Engineering Business Management (IJEBM) is an international, peer-reviewed, open access scientific journal that aims to promote an integrated and multidisciplinary approach to engineering, business and management. The journal focuses on issues related to the design, development and implementation of new methodologies and technologies that contribute to strategic and operational improvements of organizations within the contemporary global business environment. IJEBM encourages a systematic and holistic view in order to ensure an integrated and economically, socially and environmentally friendly approach to management of new technologies in business. It aims to be a world-class research platform for academics, managers, and professionals to publish scholarly research in the global arena. All submitted articles considered suitable for the International Journal of Engineering Business Management are subjected to rigorous peer review to ensure the highest levels of quality. The review process is carried out as quickly as possible to minimize any delays in the online publication of articles. Topics of interest include, but are not limited to: -Competitive product design and innovation -Operations and manufacturing strategy -Knowledge management and knowledge innovation -Information and decision support systems -Radio Frequency Identification -Wireless Sensor Networks -Industrial engineering for business improvement -Logistics engineering and transportation -Modeling and simulation of industrial and business systems -Quality management and Six Sigma -Automation of industrial processes and systems -Manufacturing performance and productivity measurement -Supply Chain Management and the virtual enterprise network -Environmental, legal and social aspects -Technology Capital and Financial Modelling -Engineering Economics and Investment Theory -Behavioural, Social and Political factors in Engineering