The impact of information technology capabilities on agri-food supply chain performance: the mediating effects of interorganizational relationships

Identifying barriers to big data analytics adoption in circular agri-food supply chains: a case study in Turkey

Big data analytics (BDA), along with the resource efficiency and sustainability perspectives of a circular economy, supports the transition to circular agri-food supply chains (AFSCs), contributing to a country's achievement of the United Nations' Sustainable Development Goals. However, there is still limited research demonstrating the importance and awareness of BDA implementation in circular AFSCs in developing countries. As a result of the barriers to BDA adoption in these regions, circular AFSCs in developing countries are still in their infancies. This study sought to identify the barriers to BDA adoption in circular AFSCs in Turkey using a Delphi-based Pythagorean fuzzy analytic hierarchy process. The proposed method removes the potential for bias and produces consensus among managers of companies in various AFSCs in Turkey. The findings of this study show that the most impactful barriers to BDA are technical, economic and social, followed by environmental and organisational. The most crucial sub-barriers to BDA adoption are "lack of trust, privacy and security", "lack of financial resources" and "lack of skilled human resources". This research can guide industry managers and policymakers in the development of strategies for overcoming barriers to BDA adoption in circular AFSCs in developing nations.

Understanding the relationship between IT capabilities and operational agility: a multi-method approach

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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

Influence of supply chain resilience, information technology capabilities and agility on cost and delivery performance in construction supply chains: an Indian perspective

Purpose

The impact of COVID-19 pandemic has been severely felt by India's construction industry, which contributes heavily to economic growth and employment. An analysis of the impact of supply chain agility, supply chain resilience and information technology capability on the construction supply chain cost and delivery performance is presented in this study in an Indian scenario post-COVID-19.

Design/methodology/approach

An analysis of moment structures-confirmatory factor analysis-based structural equation modeling is applied to a structured questionnaire received from 220 construction companies located in Southern India.

Findings

According to the results, supply chain agility, supply chain resilience and information technology capability are essential capabilities for post-COVID-19 supply chain performance. Furthermore, these factors are observed to have a positive impact on improving cost and delivery performance in construction supply chains focused on building sustainability.

Research limitations/implications

The results of this study can be used by other industries to ensure robustness and sustainability of business operations during post-COVID periods. Improving supply chain agility and information technology capabilities along with building resilience results in improving cost and delivery performance against disruptive scenarios.

Originality/value

Despite previous studies addressing the effects of COVID-19 on supply chain performance, information technology capability, agility and resilience are not addressed in construction industry research. The current study examines the simultaneous effects of resilience, agility, and information technology capability on the cost and delivery performance of Indian construction projects.

The Effect of Relational Capital on Organizational Performance in Supply Chain: The Mediating Role of Explicit and Tacit Knowledge Sharing

Relational capital and organizational performance were important factors for achieving sustainable development of the supply chain, and knowledge sharing could create and maintain sustainable competitive advantages of the supply chain. This study examined the comprehensive relationship among relational capital, explicit and tacit knowledge sharing, and organizational performance and the mediating roles of explicit and tacit knowledge sharing between relational capital and organizational performance in the supply chain by using data collected from a questionnaire survey. SPSS, AMOS, and a structural equation model were used to analysis these data and the aforementioned relationships. The results confirmed that relational capital had a positive impact on explicit and tacit knowledge sharing, there was no relation to organizational performance, and explicit and tacit knowledge sharing played mediating roles between relational capital and organizational performance in the supply chain. The research results could provide theoretical guidance for managers to formulate sustainable development strategies that maintain good relationships and economic benefits of enterprises in the supply chain.

Effects of cloud computing assimilation on supply chain financing risks of SMEs

Purpose

The purpose of this study is to examine how cloud computing assimilation reduces supply chain financing (SCF) risks of small and medium enterprises (SMEs). This study also investigated the mediating roles of internal and external supply chain integration between cloud computing assimilation and the SCF risks of SMEs, as well as the moderating role of environmental competitiveness.

Design/methodology/approach

Data was collected from surveys of SMEs located in China. Multiple regression analysis was used to validate the proposed theoretical model and research hypotheses.

Findings

The findings show that cloud computing assimilation could reduce the SCF risks of SMEs directly. The results also indicate that both internal and external supply chain integration mediate the relationship between cloud computing assimilation and SCF risks. Furthermore, environmental competitiveness inhibits the effects of cloud computing assimilation on SCF risks.

Originality/value

To our best knowledge, this is the preliminary study to explore the role of cloud computing assimilation in reducing the SCF risks of SMEs. Also, this study attempted to investigate the process by which cloud computing assimilation affects the SCF risks of SMEs.

Drivers of implementing Big Data Analytics in food supply chains for transition to a circular economy and sustainable operations management

Purpose

The aim of this study is to evaluate Big Data Analytics (BDA) drivers in the context of food supply chains (FSC) for transition to a Circular Economy (CE) and Sustainable Operations Management (SOM).

Design/methodology/approach

Ten different BDA drivers in FSC are examined for transition to CE; these are Supply Chains (SC) Visibility, Operations Efficiency, Information Management and Technology, Collaborations between SC partners, Data-driven innovation, Demand management and Production Planning, Talent Management, Organizational Commitment, Management Team Capability and Governmental Incentive. An interpretive structural modelling (ISM) methodology is used to indicate the relationships between identified drivers to stimulate transition to CE and SOM. Drivers and pair-wise interactions between these drivers are developed by semi-structured interviews with a number of experts from industry and academia.

Findings

The results show that Information Management and Technology, Governmental Incentive and Management Team Capability drivers are classified as independent factors; Organizational Commitment and Operations Efficiency are categorized as dependent factors. SC Visibility, Data-driven innovation, Demand management and Production Planning, Talent Management and Collaborations between SC partners can be classified as linkage factors. It can be concluded that Governmental Incentive is the most fundamental driver to achieve BDA applications in FSC transition from linearity to CE and SOM. In addition, Operations Efficiency, Collaborations between SC partners and Organizational Commitment are key BDA drivers in FSC for transition to CE and SOM.

Research limitations/implications

The interactions between these drivers will provide benefits to both industry and academia in prioritizing and understanding these drivers more thoroughly when implementing BDA based on a range of factors. This study will provide valuable insights. The results from this study will help in drawing up regulations to prevent food fraud, implementing laws concerning government incentives, reducing food loss and waste, increasing tracing and traceability, providing training activities to improve knowledge about BDA and focusing more on data analytics.

Originality/value

The main contribution of the study is to analyze BDA drivers in the context of FSC for transition to CE and SOM. This study is unique in examining these BDA drivers based on FSC. We hope to find sustainable solutions to minimize losses or other negative impacts on these SC.