Industry 4.0 and production recovery in the covid era

被引:29
作者
Cugno, Monica [1 ]
Castagnoli, Rebecca [1 ]
Buchi, Giacomo [1 ]
Pini, Marco [2 ]
机构
[1] Univ Torino, Management Dept, Cso Unione Soviet, Cso Unione Soviet,218 Bis, I-10134 Turin, Italy
[2] Ctr Studi Camere Commercio G Tagliacarne, Piazza Sallustio 21, I-00187 Rome, Italy
关键词
COVID-19; Industry; 4; 0; SME; Manufacturing; Production recovery; Mediator; Digital reorganization; Classical reorganization; RESEARCH-AND-DEVELOPMENT; INNOVATION; PERFORMANCE; RESILIENCE; LOCATION; GROWTH; TRENDS; IMPACT; FIRMS;
D O I
10.1016/j.technovation.2021.102443
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study aims to use a quantitative analysis to explore the effects of openness to Industry 4.0 on the perceived production recovery post the COVID-19 pandemic, mediated by digital and classical reorganization. Openness to Industry 4.0 is measured by the breadth of the number of technologies adopted. The production recovery is measured by the perception of firms that a return to pre-COVID-19 production levels will happen within either 2021, 2022, or 2023. The study takes a representative sample of 2622 manufacturing small and medium en-terprises across Italy (surveyed between October and November 2020) through a mediation analysis based on nonlinear probability models (KHB method). The results of the models show the following. First, openness to Industry 4.0 has a positive and significant direct effect on a perceived production recovery in the short term (within 2021) and medium term (within 2022 and 2023). Further, this effect is accelerated in the short term by digital reorganization and in the medium term by the addition of a classical reorganization. The research pro-vides relevant managerial implications based on a large sample of current empirical data, showing that Industry 4.0 technologies, when adopted in tandem with the digital reorganization of production activity, can accelerate production recovery to pre-COVID-19 levels.
引用
收藏
页数:11
相关论文
共 91 条
[1]  
Abboud Leila., 2020, Financial Times
[2]   Applying Industry 4.0 technologies in the COVID-19 sustainable chains [J].
Acioli, Carina ;
Scavarda, Annibal ;
Reis, Augusto .
INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT, 2021, 70 (05) :988-1016
[4]   Coronavirus outbreak in Nigeria: Burden and socio-medical response during the first 100 days [J].
Amzat, Jimoh ;
Aminu, Kafayat ;
Kolo, Victor, I ;
Akinyele, Ayodele A. ;
Ogundairo, Janet A. ;
Danjibo, Maryann C. .
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2020, 98 :218-224
[5]   Global networks, local specialisation and regional patterns of innovation [J].
Ascani, Andrea ;
Bettarelli, Luca ;
Resmini, Laura ;
Balland, Pierre-Alexandre .
RESEARCH POLICY, 2020, 49 (08)
[6]   Location: A neglected determinant of firm growth [J].
Audretsch, David B. ;
Dohse, Dirk .
REVIEW OF WORLD ECONOMICS, 2007, 143 (01) :79-107
[7]  
Becker G. S., 2009, Human capital: A theoretical and empirical analysis, with special reference to education, DOI DOI 10.7208/CHICAGO/9780226041223.001.0001
[8]   Being resilient for society: evidence from companies that leveraged their resources and capabilities to fight the COVID-19 crisis [J].
Bergami, Massimo ;
Corsino, Marco ;
Daood, Antonio ;
Giuri, Paola .
R & D MANAGEMENT, 2022, 52 (02) :235-254
[9]  
Bettiol M, 2019, MARCO FANNO WORKING, V0233
[10]   Total, Direct, and Indirect Effects in Logit and Probit Models [J].
Breen, Richard ;
Karlson, Kristian Bernt ;
Holm, Anders .
SOCIOLOGICAL METHODS & RESEARCH, 2013, 42 (02) :164-191