Luna Leoni, Marco Ardolino, Jamal El Baz, Ginetta Gueli and Andrea Bacchetti
This paper aims to provide and empirically test a conceptual model in which artificial intelligence (AI), knowledge management processes (KMPs) and supply chain resilience (SCR…
Abstract
Purpose
This paper aims to provide and empirically test a conceptual model in which artificial intelligence (AI), knowledge management processes (KMPs) and supply chain resilience (SCR) are simultaneously considered in terms of their reciprocal relationships and impact on manufacturing firm performance (MFP).
Design/methodology/approach
In the study, six hypotheses have been developed and tested through an empirical survey administered to 120 senior executives of Italian manufacturing firms. The data analysis has been carried out via the partial least squares structural equation modelling approach, using the Advanced Analysis for Composites 2.0 variance-based software program.
Findings
Using a conceptual model validated using an empirical survey, the study sheds light on the relationships between AI, KMPs and SCR, as well as their impacts on MFP. In particular, the authors show the positive effects of the adoption of AI on KMPs, as well as the influence of KMPs on SCR and MFP. Finally, the authors demonstrate that KMPs act as a mediator through which AI affects SCR and MFP.
Practical implications
This study highlights the critical role of KMPs for manufacturing firms that can deploy AI to stimulate KMPs and through attaining a high level of the latter might succeed in enhancing both their SCR and MFP.
Originality/value
This study demonstrates that manufacturing firms interested in properly applying AI to ameliorate their performance and resilience must carefully consider KMPs as a mediator mechanism.
Details
Keywords
Ting Zheng, Marco Ardolino, Andrea Bacchetti and Marco Perona
This paper has two objectives: first, to investigate the state-of-the-art of Industry 4.0 (I4.0) adoption in Italian manufacturing firms and, second, to understand variations in…
Abstract
Purpose
This paper has two objectives: first, to investigate the state-of-the-art of Industry 4.0 (I4.0) adoption in Italian manufacturing firms and, second, to understand variations in technologies implemented and business functions involved, benefits perceived, and obstacles encountered in I4.0 implementation over a three-year period.
Design/methodology/approach
The approach adopted in this research is descriptive, nesting longitudinal features. The paper presents a descriptive survey of 102 Italian manufacturing companies. The authors also evaluated non-response biases. The longitudinal approach was achieved by comparing the responses of the 40 sub-samples in common with a second similar survey launched three years prior, which aimed to identify patterns of evolution in the adoption of the I4.0 paradigm.
Findings
Survey findings demonstrate that Italian manufacturing companies still have limited awareness of I4.0 technologies, and the adoption of I4.0 technologies differs per technology. Company size and information system coverage level are the two factors that impact the company's technology adoption level. The comparative study shows that knowledge and adoption increase in a three-year interval with an unbalanced involvement of business functions regarding the I4.0 transformation. Indeed, companies are still seeking I4.0 solutions to reduce costs and lead times primarily, and the benefits perceived by companies are shown to be related to the number of I4.0 technologies in use. Finally, when companies put the I4.0 technologies into practice, competence is constantly considered the most significant barrier.
Research limitations/implications
This paper aims at conducting a thorough investigation into the development of I4.0 adoption in manufacturing companies. The main limitation of this study concerns the limited number of subjects involved in the longitudinal study (40) and the focus on a limited geographical area (Italy). In addition, more I4.0 technologies could also be incorporated into the survey protocol to gain further insight into I4.0 development.
Originality/value
The authors provide one of the first attempts to assess the variations of I4.0 implementation concerning technology adoption, business function involvement, and the alteration of benefits and obstacles. Several studies presented in the literature highlight the lack of longitudinal studies investigating the development of the I4.0 paradigm in a specific manufacturing context: this paper is the attempt at filling this gap.
Details
Keywords
Ting Zheng, Marco Ardolino, Andrea Bacchetti, Marco Perona and Massimo Zanardini
The purpose of this paper is to investigate how much the Italian manufacturing companies are ready to be concretely involved in the so-called “Industry 4.0” (I4.0) journey. In…
Abstract
Purpose
The purpose of this paper is to investigate how much the Italian manufacturing companies are ready to be concretely involved in the so-called “Industry 4.0” (I4.0) journey. In particular, this paper focuses on analyzing the knowledge and adoption levels of specific I4.0 enabling technologies, also considering how organizations are involved and which are the main benefits and obstacles.
Design/methodology/approach
A descriptive survey has been carried out on a total of 103 respondents related to manufacturing companies of different sizes. Data collected were analyzed in order to answer five specific research questions.
Findings
The findings from the survey demonstrate that Italian manufacturing companies are in different positions in their journey toward the I4.0 paradigm, mainly depending on their size and informatization level. Furthermore, not all the business functions are adequately involved in this transformation and their awareness about this new paradigm seems quite low because of the absence of specific managerial roles to guide this revolution. Finally, there are strong differences concerning both benefits and obstacles related to the adoption of I4.0 paradigm, depending on the technology adoption level.
Research limitations/implications
Future research should focus on developing case studies about pilot I4.0 practitioners in order to understand the root cause of successful cases. Both managerial and practical references should be developed, helping Italian manufacturing enterprises to consolidate and strengthen their position in global competitive market. Finally, it would be interesting to carry out the same study in other countries in order to make comparisons and suitable benchmark analyses.
Originality/value
Despite scholars have debated about the adoption of technologies and the benefits related to the I4.0 paradigm, to the best of authors’ knowledge, only a few empirical surveys have been carried out until now on the adoption level of I4.0 principles in the manufacturing sector of a specific country.
Details
Keywords
Caroline Wolski, Kathryn Freeman Anderson and Simone Rambotti
Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health…
Abstract
Purpose
Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.
Methodology/Approach
In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.
Findings
We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.
Research limitations/implications
The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.
Originality/Value of Paper
We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.
Details
Keywords
Neil Towers, Ismail Abushaikha, James Ritchie and Andreas Holter
The purpose of this paper is to demonstrate the non-academic impact in supply chain management (SCM) research through the application of three distinctive approaches to…
Abstract
Purpose
The purpose of this paper is to demonstrate the non-academic impact in supply chain management (SCM) research through the application of three distinctive approaches to phenomenological methodology in different contexts.
Design/methodology/approach
Evidence-based examples from three case studies using interpretivist, social constructivist and critical realist methodologies are presented. They reflect non-positivist approaches commonly used in phenomenological methodology and adopted in SCM investigative research.
Findings
Different types of non-academic reach and significance from each research methodology are discussed to illustrate the non-academic impact benefits from each case. The three distinctive phenomenological approaches have been shown to contribute to innovative research methodology development on their own philosophical merit and produced novel contributions to SCM research in particular.
Research limitations/implications
The non-academic impact examples have been shown to have wider influence and implication to business, the economy and society at large.
Originality/value
The paper highlights the relevance of phenomenological research methodology for SCM. It also contributes to the development of the SCM subject area and is hoped to encourage further reporting of non-academic impact of supply chain research.