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Using the assumptions of the resource-based view, relational view and swift, even flow theories and the overarching principles of supply chain management, the study aims to test the role of information technology (IT) capability (cross-functional application, supply chain application and data consistency) in enabling supply chain integration (SCI; internal, customer and supplier integration) and the impact of SCI on firm's operational performance in terms of quality, delivery, production cost, inventory level, customer service and product-mix flexibility.

The structural equation modeling approach is used to test theoretical predictions underlying the relationship among dimensions of IT capability, SCI and operational performance based on data obtained from senior executives of 108 large manufacturing firms listed in the Tokyo Stock Exchange.

The results suggest that IT capability has positive impact on SCI, except for data consistency, which is found to have negative impact on internal integration. The results further indicate that SCI, especially customer integration, has positive and significant impact on all operational performance indicators.

The findings inform future initiatives associated with the SCI improvement via specific IT capabilities. When undertaking such initiatives, managers are advised to consider the differential impact of the following IT capabilities on SCI: cross-functional applications, supply chain applications, and data consistency capability.

The study makes an empirical contribution to the body of knowledge by demonstrating the value of the multidimensional representation and analysis of IT capability, SCI, and operational performance given a differential and even opposed influence by some of the dimensions in specific business contexts.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

The system of information technology (IT)-oriented resources and processes that organizations need to develop to achieve operational agility remains unclear. The study research seeks to extend existing competency literature by incorporating the unique contextual nuances of the relationship between IT capabilities and operational agility.

Using a multi-method approach, this paper presents a theoretical framework of IT-enabled operations strategy that conceptualizes the role of IT capability in leveraging resources and processes for operational agility. Drawing on operations and information systems research, the authors advance that IT enables operational agility through two dimensions. From the perspective of a resource-based operations strategy, the authors explore the role of IT in resource-leveraging activities by investigating the nonlinear relationship between IT infrastructure and IT reconfiguration. From the perspective of a process-oriented operations strategy, the authors explore the role of IT in process-enhancing activities by investigating the nonlinear relationship between IT coordination and IT integration.

The study results, based on a sample of 113 organizations in Europe, Asia and North America, show that the interaction between IT infrastructure and IT reconfiguration positively influences operational agility, hence showing complementarity between the two constructs, while the interaction between IT coordination and IT integration negatively affects operational agility, hence indicating substitutability between the two constructs. A series of 62 interviews and a case study of Carrefour were further conducted to validate the field survey's results and to provide a finer grained explanation of the research model and quantitative findings.

The study findings offer an alternative explanation of the inconsistent relationship between IT capability and operational agility.

This study empirically investigates how supply chain finance (SCF) initiatives together with different firm capabilities and resources (i.e. information technology (IT) capability, operational slack and political connections) affect the financial risk of service providers.

This study collects secondary longitudinal data to test for a direct impact of SCF initiatives on service providers' financial risk. It further investigates the moderating effects of the service provider's IT capability, operational slack and political connections. Additional tests and analytical strategies are performed to ensure the robustness of the results.

The findings indicate that SCF initiatives help service providers mitigate financial risk. The risk reduction is greater for service providers with higher IT capability, operational slack and political connections, but the last factor applies only to multinational corporations, not domestic companies.

The data used in this research is limited to SCF service providers publicly listed in the United States, which may restrict the generalisability of the findings. Nonetheless, the research urges scholars to focus more on the financial risk implications of SCF in different market contexts.

This study encourages service providers to embrace the power of SCF initiatives for mitigating financial risk and allows them to evaluate their SCF investments in light of different firm capabilities and resources.

This is the first study investigating the impacts of SCF initiatives and various firm capabilities and resources on service providers' financial risk. The empirical findings provide important implications for future research and practices.

This study applies organizational information processing theory (OIPT) to investigate managing production process variability in uncertain environments using information technology (IT) capabilities.

We conduct an empirical analysis using the three-stage least squares (3SLS) technique on 1,612 manufacturing firms over ten years.

The findings show that IT capability plays a dual role: it reduces the positive impact of environmental uncertainty on production process variability and mitigates the negative relationship between production process variability and operational performance.

Our findings suggest that managers should focus on reducing production process variability by strengthening their firms' IT capabilities. This is particularly crucial in volatile environments where external uncertainties can significantly impact operational processes.

Variability in the production process is a significant source of inefficiency and disruption within business processes. Using OIPT, our study contributes to the field by empirically analyzing the role of IT capabilities in reducing production process variability under environmental uncertainty.

The purpose of this paper is to identify the operational capabilities in an emerging country, and to analyze the trade-off effect between the quality capability and the cost capability.

The empirical data were drawn from 160 firms in Brazil. Scales were validated using the Q-sort method and confirmatory factor analysis. Different techniques were adopted to reduce common method variance. Data were analyzed using multiple line regression.

The results showed that quality has a positive relationship with delivery, flexibility, innovation and sustainability capabilities. However, it was not possible to observe a positive relationship between quality and cost that confirmed the presence of a trade-off between these two capabilities.

An important practical contribution of this study is that it brings a new perspective to the relationship between quality and cost. Although quality is an important capability for the firm, emerging country managers need to understand that its implementation will take time and money; quality does not indicate an immediate reduction in cost.

This study helps expand research into operational capabilities in lesser-developed countries, such as Brazil. Most of the research on operational capabilities is conducted in industrialized countries. The paper also discusses the trade-off between the quality capability and cost capability. The results show that quality does not always lead to a reduction in cost.

Grounded in the resource-based view and social exchange theory, the purpose of this paper is to develop a research model that offers a comprehensive understanding of the antecedents and consequences of electronic supply chain management (e-SCM) diffusion.

Survey data from 142 managers (in charge of e-SCM projects in their companies) of large Taiwanese firms were collected and used to test the hypotheses using hierarchical moderated regression analysis.

The results indicate that information technology deployment capability, operational capability, human resource capability, and knowledge sharing are important antecedents of e-SCM diffusion. In turn, higher levels of e-SCM diffusion lead to greater competitive performance. This study also finds that knowledge sharing plays a moderating role by strengthening the relationship between organizational capabilities (e.g. operational capability and human resource capability) and e-SCM diffusion.

Managers should recognize that human resource development activities (recruiting, training, and managing valuable e-SCM personnel) are an important source of e-SCM diffusion. Similarly, managers must establish the connection between human resource capabilities and e-SCM diffusion (i.e. “soft-side” e-SCM) such as hiring and retaining skilled e-SCM personnel, training and development for e-SCM personnel, and measuring e-SCM personnel’s global mindset over time.

Theoretically, this study aims to provide a research model that is capable of understanding the antecedents and consequences of e-SCM diffusion. From the managerial perspective, the findings of this study provide valuable decision guides for practitioners to help them identify and develop firm internal capabilities and social mechanisms that foster e-SCM diffusion.

The purpose of this research is to enhance the extant understanding of the IT‐collaboration relationship. The study aims to test the robustness of the relationships among the concepts of IT analytic capability, demand chain collaboration and operational performance besides investigating the interaction effects of environmental uncertainty variables on the IT‐collaboration relationship.

Data for testing the hypothesized relationships in the conceptual model were collected through a survey of managers in manufacturing firms from the Council of Supply Chain Management Professionals (CSCMP) membership directory. The survey sample included 152 responses accounting for a response rate of 28 percent.

Findings suggest that while IT analytic capability associates positively with collaboration, the technological turbulence dimension of uncertainty enhances the above relationship. Market turbulence, however, was not found to have a significant moderating impact on the IT analytic capability‐collaboration relationship. The findings further support the link between collaboration and better operational performance.

While the study focused on a specific IT capability – IT analytic capability – firms utilize other IT resources such as database systems and e‐commerce. These IT capabilities need to be investigated as well since they could bring different functionalities and influences. Besides, a richer understanding of the interacting variables could be obtained by incorporating a broadened set of contextual variables.

Deploying advanced IT analytic capabilities in firms facilitates collaborative endeavors among supply chain partners and ultimately results in operational improvements. However, managers should also understand that the IT capability‐collaboration link is contingent upon technological turbulence: firms operating in highly uncertain technological environments can best leverage IT analytic capabilities to improve collaboration and enhance performance.

Much of the evidence on the performance impact of specific IT capabilities in supply chains is still anecdotal and extant empirical research is insufficient to suggest an unambiguous performance linkage. A critical shortcoming in extant IT and SCM literature is research on the interaction effects of environmental uncertainty variables on the IT‐collaboration relationship. The study addresses these issues.

The food supply chain has faced many challenges due to its complex and complicated nature. Blockchain technology is one of the mechanisms used to improve agri-food supply chain processes by evolving organization capabilities. A study is being conducted to scrutinize the adoption of blockchain technology in the agri-food supply chain through the lens of the operational capability approach. It further makes an attempt to identify the capabilities of blockchain to improve supply chain processes.

The qualitative research method with semi-structured interviews was used to gather information from experts and professionals in the food supply chain and blockchain technology. The authors have adopted a systematic approach of coding using open, axial and selective methods to depict and identify the themes that represent the blockchain-enabled agri-food supply chain. The data were collected from 32 interviews of selected participants.

The result shows five critical areas where blockchain can come up to enhance the agri-food supply chain performance by providing traceability, transparency, information security, transactions, and trust and quality. Further, the study reveals that blockchain will provide safety, lower the cost of transactions and can create trust among users to communicate within the whole supply chain without the intervention of a third party. This study demonstrated that the capabilities need to be considered when introducing technology into the practice.

The study implies thought-provoking implications for bridging the theory-practice gap by examining the empirical data to demonstrate how the operational capabilities of blockchain technology further strengthen the agri-food supply chain. Additionally, this study provides some suggestions for utilizing the results and proposes a framework to understand more about blockchain use cases in the agri-food supply chain as well as extend the application of blockchain using an operational capability approach for future academic researchers in this area.

This study presented some more important managerial implications which reveal that the majority of organisations were in the initial stages of adoption process of blockchain technology. Further, the positive influence of managers and IT experts can help the information technology companies (IT) and stakeholders for developing and promoting blockchain solutions in the agri-food supply chain. The important implication of blockchain enabled agri-food supply chain is to maintain information security and incresae supply chain performance.

The study shows the operational capabilities of agri-food supply chain using blockchain technology. Blockchain can contribute in enhancing the agri-food supply chain to increase traceability and transparency and helps to reduce the risk of disruptions.

The purpose of this paper is to derive a model to examine how Information Technology (IT) capability affects internet-enabled supply and demand process integration, which will eventually improve firm performance. In addition, the moderating effects of industry type in the research framework are explored.

Data were obtained from a survey administered to 261 firms in the manufacturing and services industry in China. The structural equation modeling approach is used to test the hypotheses. The study further applied the t-test to compare the path coefficiencies between manufacturing and service.

Results from the survey indicate that internet-enabled supply and demand process integration is affected by IT capability, and can directly impact firm performance. The results further indicate that manufacturing and services firms may benefit from IT capability in different ways.

The current paper contributes knowledge on the value-realizing mechanism of internet-enabled supply chain integration (SCI) from a resource-based view. It presents a multidimensional explanation of the relationships among IT capability, internet-enabled SCI, and firm performance.