The impact of business intelligence, big data analytics capability, and green knowledge management on sustainability performance

被引:30
作者
Cheng, Jie [1 ,2 ]
Singh, Harcharanjit Singh Mahinder [3 ]
Zhang, Yi-Cheng [4 ,5 ]
Wang, Shan-Yong [5 ]
机构
[1] Univ Teknol Malaysia, Fac Management, Azman Hashim Int Business Sch, Johor Baharu 81310, Malaysia
[2] Anhui Xinhua Univ, Sch Int Educ, Hefei 230088, Peoples R China
[3] Univ Teknol Malaysia UTM, Azman Hashim Int Business Sch AHIBS, Kuala Lumpur 54100, Malaysia
[4] Anhui Xinhua Univ, Qual Educ Res Ctr, Hefei 230088, Peoples R China
[5] Univ Sci & Technol China, Sch Management, Hefei 230026, Peoples R China
关键词
Business intelligence; Big data analytics capability; Green knowledge management; Sustainability performance; Manufacturing industry; ORGANIZATIONAL PERFORMANCE; DYNAMIC CAPABILITIES; FIRM PERFORMANCE; CHALLENGES; DRIVERS; SYSTEMS;
D O I
10.1016/j.jclepro.2023.139410
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper aims to study the determinants that affect sustainability performance in manufacturing companies and the impact of business intelligence and big data analytics capability on performance considering the moderating role of green knowledge management. An online questionnaire survey was conducted with 488 ISO14001-certified manufacturing companies in Malaysia to test the framework developed in this study. Nonprobability sampling was used in this study. A total of 283 responses were received, whereby the data was then analyzed using structural equation modeling via SmartPLS 4 software. The results indicated that the significant factor determining big data analytics capability is business intelligence, and the positive outcome of big data analytics capability is sustainability performance. Big data analytics capability also plays a mediating role in the positive relationship between business intelligence and sustainability performance, whereby green knowledge management does not moderate the relationship between big data analytics capability and sustainability performance. Even though business intelligence has a substantial impact on sustainability performance, the relationship is not stronger when the level of green knowledge management changes. This research provides awareness to manufacturing companies on the critical factors contributing to big data analytics capability and its outcomes on corporate sustainability performance.
引用
收藏
页数:15
相关论文
共 114 条
[1]   Developing an IoT Framework for Industry 4.0 in Malaysian SMEs: An Analysis of Current Status, Practices, and Challenges [J].
Abdulaziz, Qusay Adnan ;
Mad Kaidi, Hazilah ;
Masrom, Maslin ;
Hamzah, Halim Shah ;
Sarip, Shamsul ;
Dziyauddin, Rudzidatul Akmam ;
Muhammad-Sukki, Firdaus .
APPLIED SCIENCES-BASEL, 2023, 13 (06)
[2]   The impact of digitalization and servitization on the financial performance of a firm: an empirical analysis [J].
Abou-foul, Mohamad ;
Ruiz-Alba, Jose L. ;
Soares, Anabela .
PRODUCTION PLANNING & CONTROL, 2021, 32 (12) :975-989
[3]  
Ahmad A, 2015, ADV BUS MARK PURCH, V22A, P3, DOI 10.1108/S1069-096420150000022014
[4]  
Ahmad H, 2022, International Journal of Data and Network Science, V6, P727, DOI [10.5267/j.ijdns.2022.3.009, 10.5267/j.ijdns.2022.3.009, DOI 10.5267/J.IJDNS.2022.3.009]
[5]   How to improve firm performance using big data analytics capability and business strategy alignment? [J].
Akter, Shahriar ;
Wamba, Samuel Fosso ;
Gunasekaran, Angappa ;
Dubey, Rameshwar ;
Childe, Stephen J. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2016, 182 :113-131
[6]   Big data analytics capabilities and green supply chain performance: investigating the moderated mediation model for green innovation and technological intensity [J].
Al-Khatib, Ayman Wael .
BUSINESS PROCESS MANAGEMENT JOURNAL, 2022, 28 (5/6) :1446-1471
[7]  
Alnoukari M., 2022, Research Anthology on Big Data Analytics, Architectures, and Applications, P823, DOI DOI 10.4018/978-1-6684-3662-2.CH038
[8]  
[Anonymous], 2021, Twelfth Malaysian Plan 2021-2025, V2022
[9]   The impact of big data analytics on organizational sustainability: The influencing factors of autonomous research and development and absorptive capacity [J].
Arshad, Muhammad ;
Kun Yu, Chen ;
Qadir, Aneela ;
Ahmad, Waqar ;
Rafique, Muhammad .
INTERNATIONAL JOURNAL OF ENGINEERING BUSINESS MANAGEMENT, 2022, 14
[10]  
Arumugam Aj, 2022, Eur. J. Inf. Syst., V24, P4