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The purpose of this paper is to explore and disseminate knowledge about quantum-inspired computing technology's potential to solve complex challenges faced by the operational agility capability in Industry 4.0 manufacturing and logistics operations.

A multi-case study approach is used to determine the impact of quantum-inspired computing technology in manufacturing and logistics processes from the supplier perspective. A literature review provides the basis for a framework to identify a set of flexibility and agility operational capabilities enabled by Industry 4.0 Information and Digital Technologies. The use cases are analyzed in depth, first individually and then jointly.

Study results suggest that quantum-inspired computing technology has the potential to harness and boost companies' operational flexibility to enhance operational agility in manufacturing and logistics operations management, particularly in the Industry 4.0 context. An exploratory model is proposed to explain the relationships between quantum-inspired computing technology and the deployment of operational agility capabilities.

This is study explores the use of quantum-inspired computing technology in Industry 4.0 operations management and contributes to understanding its potential to enable operational agility capability in manufacturing and logistics operations.

This paper investigates the relationship between technological uncertainty and the use of Industry 4.0 (I4.0) technologies, and its impact on the implementation of agile and lean supply chain strategies. It also examines the effect of both of these supply chain strategies on focal firm operational performance in terms of efficiency in manufacturing processes and delivery performance.

Survey data were gathered from 256 focal manufacturing companies in Spain using a structured questionnaire. Covariance-based structural equation modeling (CB-SEM) is used to test the conceptual model.

Underpinned by the Contingency Theory and the Resource Orchestration Theory, the results indicate that technology uncertainty has a strong association with I4.0 technology use. Furthermore, the use of I4.0 technologies facilitates the implementation of the lean supply chain strategy and the agile supply chain strategy. Focal firm operational performance was also observed to be affected by the two strategies in different ways.

This study extends the literature on operations management by studying the fit between the external environment and strategy by incorporating an in-between element: the use of I4.0 technologies. This research provides a unique empirical analysis of the role of technology uncertainty and integration between I4.0 technologies and supply chain strategies.

The purpose of this paper is twofold: firstly, to provide a measurement instrument for supply chain 4.0 ambidexterity by applying the theoretical perspective of ambidexterity to advance Industry 4.0; secondly, to empirically analyse how supply chain 4.0 ambidexterity and lean supply chain management contribute to enhancing the focal firm’s operational performance.

Empirical results are obtained through analysis of survey data from a sample of 209 Spanish focal firms in industrial sectors in an intermediate position in the supply chain. Structural equation modelling was performed to test the three proposed hypotheses.

Drawing on resource orchestration theory and the relational resource-based view, this study empirically demonstrates the full mediating role of lean supply chain management in the relationship between supply chain 4.0 ambidexterity and the focal firm’s operational performance.

Although recent research has highlighted the pertinence of applying inter-organisational ambidexterity to foster Industry 4.0 (Hofmann et al., 2019), to the best of the authors’ knowledge, this is one of the first studies to apply this theoretical framework to explain the transition to supply chain 4.0. In addition, to date, to the best of the authors’ knowledge, no study exists that has developed a measurement scale and used this concept in an empirical analysis to advance theory development.

The purpose of this paper is to analyze the influence of Technology Providers, Public Administrations and R&D Institutions on Cloud Computing adoption. This research also considers Killer Applications and Success Cases as other environmental factors.

Factorial analyses and structural equation models were used on a sample of high-technology firms located in technological parks in Southern Europe, with more than ten employees and sustained investments in R&D.

Results show that Technology Providers and Success Cases are determinant in Cloud Computing adoption. Moreover, Killer Applications are a forerunner for Success Cases.

An appropriate fit between the tools and resources provided by suppliers and the internal resources of the company is needed to create competitive advantages. Firms should evaluate Technology Providers, identify Success Cases to Cloud Computing adoption and implement technological benchmarking.

This study contributes to Cloud Computing adoption literature because it includes Technology Providers, Public Administrations and R&D Institutions simultaneously as well as other variables as Killer Applications and Success Cases. The importance of the external agents on information technology (IT) adoption, especially when the technologies to be adopted are new and in an emergent stage, together with the lack of prior investigations focusing on specific environmental factors affecting the adoption of these new, emerging IT, justify the value of this research.

With support from the dynamic capabilities theory, this paper examines the role of Cloud Computing technology use in logistics (Cloud-Supported Logistics) and its effect on business results in Lean manufacturing management (Lean Production implementation) and Supply Chain Integration contexts.

Using the survey method, a random sample of 260 companies in intermediate positions in their supply chains was gathered from a population of 1,717 Spanish companies and used to test five hypotheses. The data were collected by telephone survey using a computerised system with a response rate of 15.6% (260 valid questionnaires). Structural equation modelling was used to test the five proposed hypotheses.

The findings indicate that Cloud-Supported Logistics use plays an important role in achieving better business results in Lean Production environments. Lean Production has been found to have both a direct effect and an even more powerful indirect effect on performance through the Cloud-Supported Logistics and Supply Chain Integration that these technologies produce. Supply Chain Integration is also found to have a mediating effect in the Cloud-Supported Logistics–performance relationship.

This study is valuable for academics and practitioners as it provides evidence of the relevant role played by Cloud-Supported Logistics in Lean Production implementation contexts. Cloud-Supported Logistics and Lean Production are strategically and operationally linked and their joint use results in Supply Chain Integration and better business performance.

The purpose of this paper is to investigate the contribution to improving the efficiency of the focal firm made by lean management at the internal and supply chain levels.

An empirical study was conducted of 285 Spanish focal companies from industrial sectors that occupy an intermediate position in the supply chain. The data gathering method consisted of a telephone survey using computer-assisted telephone interviewing. A structural equation was used to test the hypotheses.

The results indicate that there is an improvement in efficiency of the focal firm when lean management extends throughout the supply chain, in line with the resource-based theory and integrated supply chain management. In addition, lean management at the internal level is observed to impact positively on the focal firm's efficiency only when it contributes to enhancing the implementation of lean supply chain management.

To achieve the best operational performance derived from lean management, managers should pay attention to the transfer to their supply chain members of knowledge, competencies and cultural change linked to the level of internal lean implementation of the focal firm. Moreover, this paper provides a way to assess the operational aspects of lean supply chain strategy implementation and lean supply chain planning.

This study uses a holistic focus on lean supply chain management, to which it applies a validated instrument. It underlines that lean on the internal level should be complemented with lean on the supply chain level to provide a better understanding of the drivers of the efficiency of the focal firm.

The significant changes that supply chains (SCs) are undergoing and the emergence of disruptive technologies have led to a growing effort to integrate novel and mature technologies into existing SC strategies. Thus, this study investigates the relationships between mature information technologies (ITs), emerging IT and the lean supply chain (LSC) and agile supply chain (ASC) strategies.

An empirical study based on structural equation modeling of survey data from 256 Spanish focal companies has been conducted to test six hypotheses.

Drawing on resource orchestration, our results point to mature IT use being an enabler of both LSC and ASC strategy implementation. The results also show an LSC mediating effect on the relationship between mature IT and ASC when SCs follow both strategies. Also, the implementation of emerging IT requires a process of consolidation over time to be genuinely useful as a facilitating mechanism for developing both the lean and agile strategies along the SC. In this sense, a suitable mix needs to be orchestrated between emerging and mature IT.

This study sheds light on the relevance of the mature IT and emerging IT in the context of two SC strategies (lean/agile) and provides practical and theoretical implications.

This study aims to provide an overview of what characterizes the current state of research in the field of cloud computing use in human resource management (HRM) with the identification, analysis and classification of the existing literature and lines of research addressed and to provide guidance for future research.

The systematic literature review (SLR) technique has been used to identify, select, analyze and evaluate the existing publications on cloud computing and HRM. A total of 35 papers published up to December 2020 have been obtained from the Web of Science (WoS) scientific database. The research design has allowed us to determine what characterizes the current state of research on the use of cloud computing in HRM and obtain a novel classification of the literature that identifies four lines of research and the contributions in each line and has allowed us to define the future research agenda.

The four groups into which the papers on the cloud computing-HRM relationship have been classified are: (1) studies focused on the development of cloud platforms for HRM that highlight technical aspects, (2) papers that focus on the concept of human resource elasticity, (3) papers on the adoption and/or implantation of cloud platforms for HRM and (4) studies that highlight the effects or implications of cloud platforms for HRM. This paper proposes some new opportunities for future research and presents some helpful implications from the theoretical and management perspectives.

This study uses only scientific articles in the WoS database with a Journal Citation Report (JCR) or SCImago Journal Rank (SJR) impact.

This paper provides an overview of the knowledge on cloud computing and HRM research and offers recommendations for future research.

The purpose of this paper is to analyze the effects of two technologies, cloud computing and Web 2.0, on a firm’s operational performance, examining the relationship between these two technologies and operational performance, and the mediating role played by supply chain integration.

A random sample of 394 companies taken from the DUNS 50,000 database in Spain is used to test the paper’s hypotheses. The data were gathered by telephone survey using the CATI computerized system to manage interviewees’ answers, obtaining a 19.36 percent response rate. Factorial analyses and structural equation modeling were used to test the hypotheses.

The results suggest that cloud computing requires the mediating support of supply chain integration. However, there is no concluding evidence that Web 2.0 has a positive effect on either supply chain integration or operational performance. A positive, significant relationship was found between supply chain integration and operational performance in all the models used.

Further research and longitudinal analyses should be carried out in a range of industrial and geographical settings to confirm the findings of this study. Further analyses could also extend the scope and generalizability of results by analyzing the assimilation of supply chain integration-related inter-organizational information systems, such as the effect of ERP systems on performance. Another future direction for research is a study of the impact of the joint assimilation of internal and external integration practices on operational performance.

Managers should be aware of the key role that trust plays in the information-sharing process in conjunction with supply chain management. Trust and information-sharing are two inextricably linked elements that enable greater supply chain integration to translate into better operational performance. This paper can also make managers more aware of the powerful tools that exist in the cloud computing universe and those that come under the umbrella of Web 2.0. Companies can use the findings of this paper to create new applications to facilitate supply chain integration. Some examples are also given of how cloud applications can be applied to better integrate the supply chain and, ultimately, to improve overall operational performance.

This is one of the first attempts to disentangle the effects exerted by cloud computing on company performance through the mediating role of a higher supply chain integration. The value of this study relies in that academics and practitioners may have a supporting evidence on the role played by a new, disruptive technology such us cloud computing in, internal, operationally linked structures such as supply chain integration and how this combination transforms into better operational outcomes.

The purpose of this study is to examine how a focal firm’s supply relationships influence lean supply chain management (LSCM) implementation and its impact on operational performance.

An empirical study of 285 Spanish focal firms has explored the relationships between supply uncertainty, strategic supplier performance, LSCM implementation and operational performance. A structural equation model was used to test four hypotheses.

The results indicate that supply uncertainty and strategic supplier performance significantly impact the decision to implement LSCM. The findings highlight the importance of strategic supplier performance for driving LSCM adoption. However, this study also suggests that LSCM implementation should be carefully considered in situations characterized by high supply uncertainty.

This study suggests that enhancing LSCM implementation and improving performance from key suppliers are crucial factors in achieving favorable operational performance in focal firms. Practitioners receive guidance on aligning their supply relationships, considering contextual factors and leveraging strategic supplier performance to drive effective LSCM implementation.

This study offers novel insights by examining the antecedents to LSCM implementation from a contingency and relational perspective specifically focused on the context of supply relationships. This research contributes to the existing body of knowledge on supply chain management by shedding light on the interplay between supply uncertainty, strategic supplier performance, LSCM implementation and operational performance.