Follow the cloud! The impact of ICT on Italian provinces’ trade

Boccia, Marinella; Ferragina, Anna Maria; Iandolo, Stefano

doi:10.1007/s40812-022-00230-4

Cited by 4 publications

(2 citation statements)

References 54 publications

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“…The results reported in specification (2) refer to individual technologies: we find that only robotics (among production technologies), laser cutting (among customization technologies), and big data and cloud (among data processing technologies) are positively associated with firms' labor productivity. These findings align partially with existing evidence: previous works have emphasized positive firm-level productivity returns of robotics (Acemoglu et al, 2020;Graetz & Michaels, 2018;Jungmittag & Pesole, 2019;Kromann et al, 2020), as well as that cloud technology plays a significant role in enhancing firms' performance in terms of growth and export capabilities (Boccia et al, 2022;DeStefano et al, 2020). By contrast, there is limited evidence on the role of laser cutting technology for firms' labor productivity: we posit that the importance of this technology is linked to the characteristics of our sample, which consists of MSMEs located in Italy and specialized in industries involving low and medium technologies.…”

Section: Further Evidencesupporting

confidence: 88%

Is this time different? How Industry 4.0 affects firms’ labor productivity

Bettiol,

Capestro,

Di Maria

et al. 2023

Small Bus Econ

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Does Industry 4.0 technology adoption push firms’ labor productivity? We contribute to the literature debate—mainly focused on robotics and large firms—by analyzing adopters’ labor productivity returns when micro, small, and medium enterprises (MSME) are concerned. We employ original survey data on Italian MSMEs’ adoption investments related to a multiplicity of technologies and rely on a difference-in-differences estimation strategy. Results highlight that Industry 4.0 technology adoption leads to a 7% increase in labor productivity. However, this effect decreases over time and is highly heterogeneous with respect to the type, the number, and the variety of technologies adopted. We also identify potential channels explaining the labor productivity returns of technology adoption: cost-related efficiency, new knowledge creation, and greater integration/collaboration both within the firm and with suppliers. Plain English Summary Becoming Industry 4.0 technology adopter boosts Italian manufacturing micro, small, and medium enterprises’ (MSME) labor productivity by more than 7% on average. This is the key finding of new research based on original survey data collected from a sample of MSMEs operating in “Made in Italy” industries. Specifically, the research suggests that brand-new adopters of Industry 4.0 technologies gain a labor productivity premium compared to their non-adopting counterparts that lasts for up to 2 years after the adoption occurred. However, the productivity returns of technology adoption show non-linearities with respect to both the number of new technologies adopted by the firm and the variety of “technology groups” (production, customization, and data processing technologies). Overall, these results point to the relevance of industrial policies promoting the adoption of Industry 4.0 technologies by MSMEs, and this seems to be particularly the case for all those countries where MSMEs make the bulk of the national industrial system.

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Section: Further Evidencesupporting

confidence: 88%

Is this time different? How Industry 4.0 affects firms’ labor productivity

Bettiol,

Capestro,

Di Maria

et al. 2023

Small Bus Econ

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“…Information and communication technology (ICT) has served as a key driver in facilitating export decisions and export intensity through various channels. These channels include online presence and online transactions (Hagsten & Kotnik, 2017), internet accessibility (Rodríguez-Crespo & Martínez-Zarzoso, 2019), and the adoption of cloud technologies (Boccia et al, 2022). Furthermore, digital services have emerged as a catalyst for green goods export (Ha & Thanh, 2022) and digital trade (Janow & Mavroidis, 2019).…”

mentioning

confidence: 99%

The nonlinear relationship between digital affordances and firm‐level export performance: The moderating role of organizational ambidexterity

Erdey,

Liu,

Nagy

2024

Manage Decis Econ

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A diminished trade cost has been ascribed to the advancement of digital transformation, particularly digital technologies and platforms. Nevertheless, whether this decline in trade costs manifests in the extensive or intensive margin of trade remains an unresolved query. This study conducts a comprehensive analysis of the influence of digital affordances on firm‐level export performance. Specifically, we posit that digital affordances will manifest a convex influence on firms' export decisions and intensive margin of export. Furthermore, we propose that the relationship between digital affordances and firm‐level export decisions will be contingent upon the degree of firms' organizational ambidexterity. To empirically test our hypotheses, we leverage a dataset comprising 13,251 firm‐level observations gathered by the World Bank Enterprise Surveys (WBES) unit across 19 Organization for Economic Cooperation and Development (OECD) countries. Our study substantiates a U‐shaped nexus between digital affordances and firm‐level export performance. Importantly, our analysis supports that this U‐shaped nexus is accentuated when firms present a high level of organizational ambidexterity.

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Segmenting tourism companies with relational and technological bases

Fuentes-Blasco,

Moliner-Velázquez,

Gil-Saura

et al. 2023

Preprint

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The objective of this study is to achieve a travel agencies segmentation based on both relational (trust, commitment, satisfaction, and loyalty) and technological (advancement and use of Information and Communication Technologies) criteria that improve the understanding of their strategic behaviours. The segmentation methodology uses a tandem approach: correspondence and hierarchical cluster analysis. From a sample of 256 travel agencies, four segments have been identified. Relational criteria have made it possible to segment only the retail agency market, while technological criteria have been shown to be more capable of segmenting the wholesale agency market. This work contributes to the advancement of the literature on business-to-business segmentation in tourism by providing a more complete vision of the segmentation of companies. From a practical approach, it allows a better knowledge of the agency segments, so it could be used for the selection not only of providers (customer perspective) but also of target segments (service provider perspective).

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Follow the cloud! The impact of ICT on Italian provinces’ trade

Cited by 4 publications

References 54 publications

Is this time different? How Industry 4.0 affects firms’ labor productivity

Is this time different? How Industry 4.0 affects firms’ labor productivity

The nonlinear relationship between digital affordances and firm‐level export performance: The moderating role of organizational ambidexterity

Segmenting tourism companies with relational and technological bases

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