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This study aims to investigate the impact of I4.0 technologies and their interoperability on supply chains (SCs) performance and how the integration of such technologies and their interoperability can create pathways for SCs resilience post-COVID-19. This is of paramount importance in the context of COVID-19 as the investigation around I4.0 technologies may provide relevant insights on how SCs may better respond to unexpected situations like the current pandemic with the use of digital technologies.

A survey research method was designed based on some constructs extracted from the literature regarding the main disruptive technologies, interoperability, elements of supply chains processes (SCPs) performance such as integration, collaboration, transparency, efficiency, responsiveness and profitability. The data were collected from March to July 2020 from different regions of the world when the peak of the first wave of the pandemic had occurred. The survey resulted in 115 valid responses. The study used a combination of descriptive, correlation and multiple regression methods to analyse the data.

The study indicates that disruptive technologies significantly impact SCPs performance (integration, collaboration, responsiveness and transparency) and their resilience. The findings did not support the notion that these technologies improve the efficiency of SCs, a significant contrast to the existing literature. Our findings also refute the existing understanding that interoperability moderates the impact of disruptive technologies on SCPs performance and enhancing the resilience of SCs. However, the findings show that the integration of I4.0 technologies and their interoperability has a positive impact on SCPs profitability.

The findings strongly advocate that this integration plays an important role in improving SC performance, and a future pathway of SC resiliency post-COVID-19. Considering that the I4.0 trend will impact SCs in the coming years, this study brings a relevant contribution to researchers and practitioners.

This study makes a unique contribution by investigating a novel causal relationship between the main elements (I4.0 technologies, interoperability, processes performance and strategic outcomes) related to the SC in this new context.

Industry 4.0 is one of the most emergent research topics attracting significant interest by researchers as well as practitioners. Many articles have been published with regards Industry 4.0; however, there is no research that clearly conceptualizes Industry 4.0 in the context of supply chain. This paper aims to propose the term “Supply Chain 4.0” together with a novel conceptual framework that captures the essence of Industry 4.0 within the supply chain context. As Industry 4.0 is inherently a revolution, and as revolutions are evolutionary, this research also aims to capture the evolution of Supply Chain 4.0 from maturity levels perspective to facilitate the formulation and development of Supply Chain 4.0 strategy.

Following a deductive research approach and a qualitative strategy, a systematic literature review (SLR) was adopted as the research method seeking to understand the relationships among supply chain, Industry 4.0 and maturity levels research. The three phases of the SLR process utilized are: planning, conducting and reporting. A concept-oriented technique was applied to the outputs of the SLR to obtain the key constructs that would facilitate the development of the conceptual Supply Chain 4.0 framework.

The SLR showed that there is limited research linking Industry 4.0 to supply chain. Nevertheless, it was possible to extract a set of thematic categories from the analysis of the articles which are referred to as constructs as they form the core of the conceptual Supply Chain 4.0 framework. These constructs are managerial and capability supporters, technology levers, processes performance requirements and strategic outcomes. Each of these constructs consists of a number of elements which are referred to as “dimensions” in this research and a total of 21 dimensions were identified during the SLR. The SLR also demonstrated that maturity propositions for Industry 4.0 are still embrionary and entirely missing in the context of supply chain. Hence, this research develops and proposes a maturity levels framework that is underpinned by the core constructs of Supply Chain 4.0 and the corresponding dimensions. As these proposed frameworks are conceptual, this research also identifies and proposes several research directions to help fortify the Supply Chain 4.0 concept.

This research argues that the frameworks are robust because the constructs and dimensions are grounded in the literature, thus demonstrating both theoretical and practical relevance and value. As Supply Chain 4.0 research is still in infancy, there is a range of open research questions suggested based on the frameworks that could serve as guides for researchers to further develop the Supply Chain 4.0 concept. Also, practitioners can use this framework to develop better understanding of Supply Chain 4.0 and be able to evaluate the maturity of their organizations. As the proposed frameworks are conceptual, they require further empirical research to validate them and obtain new insights.

The SLR demonstrated a clear gap in literature with regards to Industry 4.0 in the context of supply chain, and also in the context of Industry 4.0 maturity levels for supply chain. This research is unique as it formulates and introduces novel frameworks that close these gaps in literature. The value of this research lies in the fact that it makes significant contribution in terms of understanding of Supply Chain 4.0 with a clear set of constructs and dimensions that form Supply Chain 4.0, which provides the foundation for further work in this area.

The abolishment of the wine tax in Hong Kong has led to increased wine consumption and increased demand for wine-related professionals, such as sommeliers. Yet the importance of sommeliers’ value-adding performance in the context of upscale Chinese restaurants has not been examined. To address this gap, the SERVQUAL framework is adopted to examine the influence of sommeliers’ service quality (SQ) on customer satisfaction (CS) and loyalty in the context of upscale Chinese restaurants in Hong Kong.

The survey method is used to collect data from 302 units of the population of interest, partial least square-structural equation modelling (PLS-SEM) is used to test the links between constructs.

Four of the seven dimensions of sommeliers’ service quality, namely, empathy, tangibles, credibility and assurance, have a significant positive impact on customer satisfaction and customer loyalty, whereas the impact of perceived value and responsiveness on customer satisfaction and customer loyalty is positive but only marginally significant. Reliability has a weak and non-significant impact on customer satisfaction and customer loyalty.

Examining a small number of upscale Chinese restaurants in Hong Kong limits generalisation of the findings to other contexts. Replication of the research in different contexts will enhance generalizability. In terms of implications, the discussion highlights the importance of sommeliers’ service performance on customers’ SQ perceptions SQ, CS and loyalty, all of which are important variables for restaurateurs.

To the best of the authors’ knowledge, this is the first study of the influence of the quality of sommelier’s SQ on CS and loyalty in upscale Chinese restaurants in Hong Kong. Given the lack of attention to this service role in the literature, the study contributes theory from which further understanding can develop.

The purpose of this paper is to present a theoretical approach based on the balanced scorecard (BSC) with regard to performance measurement – PM in supply chains for the Industry 4.0 era.

This paper combines the literature of PM and specifically the BSC with the literature related to the dimensions of supply chain in the context of Industry 4.0.

Dimensions extracted from the literature based on supply chains within the context of Industry 4.0 showed a strong alignment with the four perspectives of the BSC, which make it suitable to be considered as a performance measurement system (PMS) for supply chains in this new context.

From theoretical perspective, this study contributes to the limited literature on PM for supply chains in Industry 4.0 era. The study proposes a supply chain 4.0 Scorecard and strongly support researchers to conduct future empirical researches in order to get a deeper understanding about PM in supply chains in the Industry 4.0 era. As limitations, the theoretical framework proposed needs further empirical research in other to validate it and obtain new insights over the investigation conducted and presented into this paper.

Practitioners can use this study as a guide to develop more effective performance measurement systems – PMSs in their organizations.

This research is unique as it addresses a significant knowledge gap related to PM in supply chains in the Industry 4.0 era. It brings a significant contribution in terms of understanding how to measure performance in supply chains in this new era.

This paper aims to present a grounded and strategic discussion regarding Supply Chain 4.0 as a management system orientation for the post-COVID-19 period as well as propose some research directions thereof.

For the development of this paper, some theoretical insights were provided based on the literature related to Supply Chain and Industry 4.0. A discussion regarding the constructs of Supply Chain 4.0 on the context of the post-COVID-19 outbreak is developed as well.

The discussion, herein, shows that the disruptive technologies might play a crucial role to become supply chains more responsive and resilient to sudden events such as COVID-19. Then a Supply Chain 4.0 is a transformational strategic orientation to be considered on the aspect of supply chain management for the post-pandemic period. Some research questions are proposed at the end of this paper with the aim to further address this subject.

This paper provides timely insights for researchers and practitioners which might imply on the further research deployments and practical applications although it demands future empirical studies to validate the propositions herein presented.

Practitioners can be benefited from this paper on having new insights and a strategic direction on regards supply chain management for the post-pandemic period with focus on a technology-driven strategy for supply chains.

This paper is unique because it brings an unexplored relationship between Supply Chain 4.0 and COVID-19 pandemic. It also significantly contributes to new directions and views for the supply chain management field from these challenging and difficult times of coronavirus global outbreak.

Although prior studies have identified several technologies related to Industry 4.0 and their individual potential, it is still unclear how these technologies could be integrated to achieve better results. Based on this, we propose several collaborative networks combining technologies associated with Industry 4.0.

A literature review was performed using a research model to support the evaluation and identification of key and collaborative technologies related to Industry 4.0. We examined these technologies using hierarchical cluster analysis and principal components analysis, based on their characteristics.

The study identified big data, cloud computing, the internet of Things and cyber-physical systems as key technologies for Industry 4.0, and a further eight collaborative technologies that are strongly related to industrial performance. We found five collaborative networks with distinct goals in the context of Industry 4.0: (1) smart manufacturing; (2) technological platforms; (3) market reactiveness; (4) smart products and (5) flexibility.

The findings allowed us to create five pathways for future work on Industry 4.0 technologies via collaborative networks. In practice, this will help managers to improve their focus on priorities regarding the implementation of Industry 4.0 technologies.

This study provides insights into how to establish links between technologies through collaborative networks for certain purposes. In addition, we propose five future directions for these collaborative networks that require further investigation by researchers.

The purpose of this paper is to investigate, through a comparative analysis, the applicability of lean manufacturing practices, such as value stream mapping (VSM), for productivity improvement in recycling centres (RCs) aided by multi-criteria decision analysis.

The study is carried out in five RCs that sort the municipal solid waste of Porto Alegre, one of the main cities in Brazil. Since all of the centres present their labour composed by poor communities’ members, cultural and social characteristics may represent an incremental challenge for lean implementation. Further, these centres are organised in cooperatives, in which decisions are taken through a participatory way and all their members are entitled to vote, undermining and retarding the decision-making process.

The integration of a multi-criteria decision-making tool to the lean practices enables the prioritisation of improvements, complementing the final stage of VSM. In particular, this contribution becomes especially important in cooperatives managed by community, where decisions are often complex and time-consuming. Finally, despite the increasing pressure for better performance of RCs, the existent mindset is still far from the private sector, where lean practices were conceived. Further, the findings suggest that, despite processes similarities, it is not feasible to declare the existence of a one-best practice to such scenario.

In theoretical terms, the authors demonstrate through a multi-case study the adequacy of analytic hierarchy process as a decision analysis tool complementary to the VSM, enabling a broader perspective about this subject. Concerning the practical contribution, the comprehension of the adaptation needs for lean practices implementation within the production context of solid waste RCs provides a framework with guidelines for this sector, when incorporating lean activities. Lean practitioners and eventual municipal authorities involved in improving productivity of community-managed RCs might benefit from this framework, since they will be able to emphasise the development of recommended and already tested lean practices that tend to improve their operational performance.

Health is at the center of society concerns, being characterized by the dilemma of contributing to the population well-being, while demanding high financial investments at the same time. In this sense, information technology (IT) becomes essential for the progress of the sector, directly impacting on how care practices are performed. This study aims to analyze the adoption of mobile devices in the mobile emergency care service (MECS) of the state of Rio Grande do Sul, Brazil.

The authors carried out a multi-method study with an initial qualitative exploration through a focal group, followed by a survey. Potential determinants and impacts of mobile device use on the work context of the MECS teams were identified. Following, we tested the proposed conceptual model applying a questionnaire to 350 professionals from a total of 160 bases throughout the State. Partial least squares structural equation modeling was used to test the hypotheses herein.

The authors found that Satisfaction with the Use of Mobile PHC (PHC – Primary Health Care) is determined by the application compatibility with MECS work, followed by the performance expectancy with the use of the technology and the technical support provided to the users – acting as important facilitators of this process; while the technological complexity inherent in the use of the technology appears as the main barrier to the success of this technology. Besides, the authors found that both intensity of Use and Satisfaction with the Use of the technology provide different benefits to those involved (teams, patients and the organization).

As limitations of the study, the authors point out to the fact that the data are from a single Brazilian State, and therefore, its results cannot be generalized. Another limitation is that the study considered only the use of a specific mobile technology, which requires caution when using this information in contexts where the health information technology is different, besides the fact that the findings may not be compatible in environments where IT adoption is voluntary.

The study can help managers of public and private organizations in the planning and implementation of different technologies, whether mobile or applied to the health context, as well as in the expansion of their use in their respective institutions.

The research contributes to other studies that realize that the adoption of IT can cause relevant changes to health being associated to productivity gains and improvement of the quality of service provided to society through different forms and solutions.

The adoption and use of IT – such as mobile devices – impacts on how care practices are performed in the MECS, providing different benefits to those involved (teams, patients and the organization).

Industry 4.0 has been one of the most topics of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0's initiatives as well as for the deployment of new research works. Considering “organizational learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between organizational learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well.

This study is based on a systematic literature review that covers Industry 4.0 and organizational learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using data basis Web of Science and Google Scholar. Also, NVivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research.

Nine dimensions were identified between organizational learning and Industry 4.0. These include management, Industry 4.0, general industry, technology, sustainability, application, interaction between industry and the academia, education and training and competency and skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage learning in Industry 4.0's programs. They are: learning development, Industry 4.0 structure and technology Adoption.

Even though there are relatively few publications that have studied the relationship between organizational learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches.

This article identifies the thematic dimensions relative to Industry 4.0 and organizational learning. The understanding of this relation has a relevant contribution to professionals acting in the field of organizational learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organizations.

This article is unique for filling a gap in the academic literature in terms of understanding the relation between organizational learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.

This study aims to contribute to the extant literature on logistics by investigating the interrelationship between the financial performance of listed logistics firms and the COVID-19 and compare the logistics firms’ financial performance of G-20 countries during the pandemic period.

To conduct the confirmatory analysis by testing the hypotheses formulated for this study, data have been collected from Bloomberg of all logistics firms from G-20 countries. This paper gathered the first quarter from 2010 until the last quarter of 2020 as the research sample to examine the pandemic impact on financial performance.

The results show that the financial performance of logistic firms was significantly higher during 2020. Overall, the country-wise findings corroborated with the main results and the financial performance of 14 countries’ logistic firms out of 20 ones analysed has been significantly elevated, during the pandemic period. However, this paper has found out a negative financial performance of the logistics firms during the COVID-19 period in six countries (Germany, Korea, Russia, Mexico, Saudi Arabia and the UK), which support the second proposition.

The study’s results were important as they highlighted the role of logistics firms in offering insights to academics, practitioners, policymakers and logistic firms’ stakeholders. For future research, this paper suggests including some other variables that might influence firm performance and that have not been considered in this study, which is a limitation, and going more deeply into the logistics sector by comparing the financial performance of the sub-sectors.

As the importance of logistics services during the pandemic period is relevant, this study may provide significant insights because the logistics firms play a crucial role by anticipating to ensure the supply of essential items such as food, medicine, then supporting for the continuity of supply chains. The view of finance impacts during the pandemic may provide insightful perspectives for logistics companies, allowing them to understand those impacts and better prepare for likely disruption events such COVID-19 pandemic.

This paper is novel considering that it is unique in evaluating logistics firms’ financial performance from a global perspective, considering the context of this historical pandemic.