Drivers and consequences of an innovative technology assimilation in the supply chain: cloud computing and supply chain integration

被引:63
作者
Manuel Maqueira, Juan [1 ]
Moyano-Fuentes, Jose [1 ]
Bruque, Sebastian [1 ]
机构
[1] Univ Jaen, Dept Business Org Mkt & Sociol, Jaen, Spain
关键词
supply chain; cloud computing; advanced manufacturing technologies; intra-organisational IT; IT for e-business; inter-organisational IT; supply chain integration; BIG DATA ANALYTICS; OF-THE-ART; FIRM PERFORMANCE; OPERATIONAL PERFORMANCE; INFORMATION-TECHNOLOGY; MEDIATING ROLE; ADOPTION; SERVICE; IMPACT; DETERMINANTS;
D O I
10.1080/00207543.2018.1530473
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Cloud Computing are innovative technologies that are being applied in the main business functions in the supply chain. This study aims to reveal the determinant factors (drivers and a relevant outcome) of the level of use or assimilation of Cloud Computing in the supply chain. In order to test three hypotheses we conducted an empirical study in 484 companies from sectors in an intermediate position in the supply chain. The data gathering method consisted of a telephone survey using a computerised system (CATI). We used structural equation modelling (SEM) to test the hypotheses. The empirical study reveals that Advanced Manufacturing Technologies pursuing the internal efficiency of the supply chain (Intra-organisational IT) and IT for capabilities in e-business/e-commerce seeking external connection of the supply chain with other companies (Inter-organisational IT) are drivers of Cloud Computing assimilation. Furthermore, supply chain integration is one of the major consequences of Cloud Computing assimilation in the supply chain.
引用
收藏
页码:2083 / 2103
页数:21
相关论文
共 109 条
[1]   An empirical comparison of statistical construct validation approaches [J].
Ahire, SL ;
Devaraj, S .
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2001, 48 (03) :319-329
[2]   Performance computation methods for composition of tasks with multiple patterns in cloud manufacturing [J].
Ahn, Gilseung ;
Park, You-Jin ;
Hur, Sun .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2019, 57 (02) :517-530
[3]  
Aljabre A., 2012, International Journal of Business and Social Science, V3, P234
[4]   COMPUTER-AIDED PROCESS PLANNING - THE STATE-OF-THE-ART SURVEY [J].
ALTING, L ;
ZHANG, HC .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1989, 27 (04) :553-585
[5]   Application and integration of an RFID-enabled warehousing management system - a feasibility study [J].
Alyahya, Saleh ;
Wang, Qian ;
Bennett, Nick .
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2016, 4 :15-25
[6]  
Anand G, 2004, PROD OPER MANAG, V13, P369, DOI 10.1111/j.1937-5956.2004.tb00224.x
[7]   The role of digital technologies for the service transformation of industrial companies [J].
Ardolino, Marco ;
Rapaccini, Mario ;
Saccani, Nicola ;
Gaiardelli, Paolo ;
Crespi, Giovanni ;
Ruggeri, Carlo .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (06) :2116-2132
[8]   A View of Cloud Computing [J].
Armbrust, Michael ;
Fox, Armando ;
Griffith, Rean ;
Joseph, Anthony D. ;
Katz, Randy ;
Konwinski, Andy ;
Lee, Gunho ;
Patterson, David ;
Rabkin, Ariel ;
Stoica, Ion ;
Zaharia, Matei .
COMMUNICATIONS OF THE ACM, 2010, 53 (04) :50-58
[9]   ESTIMATING NONRESPONSE BIAS IN MAIL SURVEYS [J].
ARMSTRONG, JS ;
OVERTON, TS .
JOURNAL OF MARKETING RESEARCH, 1977, 14 (03) :396-402
[10]   Analysis of manufacturing strategy as an explanatory factor of competitiveness in the large Spanish industrial firm [J].
Avella, L ;
Fernández, E ;
Vázquez, CJ .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2001, 72 (02) :139-157