Role of cloud ERP and big data on firm performance: a dynamic capability view theory perspective

被引:69
|
作者
Gupta, Shivam [1 ]
Qian, Xiaoyan [2 ]
Bhushan, Bharat [3 ]
Luo, Zongwei [2 ]
机构
[1] Montpellier Business Sch, Montpellier Res Management, Montpellier, France
[2] Southern Univ Sci & Technol China, Dept Comp Sci & Engn, Shenzhen, Peoples R China
[3] XLRI Xavier Sch Management, Sch Management, Jamshedpur, Bihar, India
关键词
Big data; Organizational culture; Structural equation modelling; Firm performance; Cloud ERP; Dynamic capability view; RESOURCE-BASED VIEW; SUPPLY CHAIN MANAGEMENT; DATA ANALYTICS; ORGANIZATIONAL PERFORMANCE; INFORMATION-TECHNOLOGY; PREDICTIVE ANALYTICS; MEASUREMENT SYSTEMS; OPERATIONS; CULTURE; BUSINESS;
D O I
10.1108/MD-06-2018-0633
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose Technological developments have made it possible for organizations to use enterprise resource planning (ERP) services without indulging in heavy investments like IT infrastructure, trained manpower for implementation and maintenance and updating the systems regularly to maintain business competitiveness. Plug and play model offered by cloud ERP has led to a constant creation of large data sets which are structured, semi-structured and unstructured by nature. Thus, there has been a need to analyze such complex data sets and the purpose of this paper is to focus on how cloud ERP and big data predictive analytics (BDPA) will impact the performance of a firm. Design/methodology/approach A dynamic capability view (DCV) theory-based model was developed and the authors have collected data by using an online questionnaire from India. Thereafter, the authors have analyzed it by employing structural equation modeling. Findings SEM analysis of 231 respondents showcases that the use of DCV theory to define the relationships of cloud ERP and BDPA has been the right move. Out of the 13 hypotheses empirically tested, only 7 hypotheses were supported by the data. Originality/value This study empirically tests the relationship of cloud ERP and BDPA through a model based on DCV theory.
引用
收藏
页码:1857 / 1882
页数:26
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