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

被引：14

作者：

Arshad, Muhammad ^{[1
]}

Kun Yu, Chen ^{[1
]}

Qadir, Aneela ^{[2
]}

Ahmad, Waqar ^{[3
]}

Rafique, Muhammad ^{[4
]}

机构：

[1] Yunnan Univ Finance & Econ, Business Sch, Kunming, Peoples R China

[2] Guangdong Univ Finance & Econ, Guangzhou Huashang Coll, Guangzhou, Peoples R China

[3] Kunming Univ Sci & Technol, Fac Management & Econ, Kunming, Peoples R China

[4] Xi An Jiao Tong Univ, Sch Publ Policy & Adm, Xian, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ENGINEERING BUSINESS MANAGEMENT | 2022年 / 14卷

关键词：

Big Data Analytics Capability; Absorptive Capacity; Autonomous Research & Development; Organizational Sustainable Development; HIGH-SPEED RAIL; SUPPLY CHAIN MANAGEMENT; VALUE CREATION; COMPETITIVE ADVANTAGE; DECISION-MAKING; DATA CHALLENGES; PERFORMANCE; KNOWLEDGE; INFORMATION; INNOVATION;

D O I：

10.1177/18479790221141537

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页数：17

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