Luluk Lusiantoro, Nicola Yates, Carlos Mena and Liz Varga
The purpose of this paper is to contribute to the understanding of the relationship between information sharing and performance of perishable product supply chains (PPSC)…
Abstract
Purpose
The purpose of this paper is to contribute to the understanding of the relationship between information sharing and performance of perishable product supply chains (PPSC). Building on transaction cost economics (TCE), organisational information processing theory (OIPT), and contingency theory (CT), this study proposes a theoretical framework to guide future research into information sharing in perishable product supply chains (IS-PPSC).
Design/methodology/approach
Using the systematic literature review methodology, 48 peer-reviewed articles are carefully selected, mapped, and assessed. Template analysis is performed to unravel the relationship mechanisms between information sharing and PPSC performance.
Findings
The authors find that the relationship between information sharing and PPSC performance is currently unclear, and there is inconsistency in the positioning of information sharing among constructs and variables in the IS-PPSC literature. This implies a requirement to refine the relationship between information sharing and PPSC performance. The review also revealed that the role of perishable product characteristics has largely been ignored in existing research.
Originality/value
This study applies relevant multiple theoretical perspectives to overcome the ambiguity of the IS-PPSC literature and contributes nine propositions to guide future research. Accordingly, this study contributes to the refined roles of relationship uncertainty, environmental uncertainty, information sharing capabilities, and perishable product characteristics in shaping the relationship between information sharing and PPSC performance.
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Seyedeh Neda Naghshbandi, Liz Varga and Yukun Hu
The development of communication and artificial intelligence technologies has raised interest in connectivity and increased autonomy of automated earthmoving equipment for…
Abstract
Purpose
The development of communication and artificial intelligence technologies has raised interest in connectivity and increased autonomy of automated earthmoving equipment for earthwork. These changes are motivating work to reduce uncertainties, in terms of improving equipment object detection capability and reducing strikes and accidents on site. The purpose of this study is to illustrate industrial drivers for automated earthwork systems; identify the specific capabilities which make the transformation happen; and finally determine use cases that create value for the system. These three objectives act as components of a technology roadmap for automated and connected earthwork and can guide development of new products and services.
Design/methodology/approach
This paper used a text mining approach in which the required data was captured through a structured literature review, and then expert knowledge was used for verification of the results.
Findings
Automated and connected earthwork can enhance construction site and its embraced infrastructure, resilience by avoiding human faults during operations. Automating the monitoring process can lead to reliable anticipation of problems and facilitate real-time responses to unexpected situation via connectedness capabilities. Research findings are presented in three sections: industrial perspectives, trends and drivers for automated and connected earthwork; capabilities which are met by technologies; and use cases to demonstrate different capabilities.
Originality/value
This study combines the results of disintegrated and fragmented research in the area of automated and connected earthwork and categorises them under new capability levels. The identified capabilities are classified in three main categories including reliable environmental perception, single equipment decision-making toward safe outcomes and fleet-level safety enhancement. Finally, four different levels of automation are proposed for earthwork technology roadmap.
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The purpose of this research is to systematically review the properties of supply chains demonstrating that they are complex systems, and that the management of supply chains is…
Abstract
Purpose
The purpose of this research is to systematically review the properties of supply chains demonstrating that they are complex systems, and that the management of supply chains is best achieved by steering rather than controlling these systems toward desired outcomes.
Design/methodology/approach
The research study was designed as both exploratory and explanatory. Data were collected from secondary sources using a comprehensive literature review process. In parallel with data collection, data were analyzed and synthesized.
Findings
The main finding is the introduction of an inductive framework for steering supply chains from a complex systems perspective by explaining why supply chains have properties of complex systems and how to deal with their complexity while steering them toward desired outcomes. Complexity properties are summarized in four inter-dependent categories: Structural, Dynamic, Behavioral and Decision making, which together enable the assessment of supply chains as complex systems. Furthermore, five mechanisms emerged for dealing with the complexity of supply chains: classification, modeling, measurement, relational analysis and handling.
Originality/value
Recognizing that supply chains are complex systems allows for a better grasp of the effect of positive feedback on change and transformation, and also interactions leading to dynamic equilibria, nonlinearity and the role of inter-organizational learning, as well as emerging capabilities, and existing trade-offs and paradoxical tensions in decision-making. It recognizes changing dynamics and the co-evolution of supply chain phenomena in different scales and contexts.
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Christen Rose‐Anderssen, James Baldwin, Keith Ridgway, Peter Allen, Liz Varga and Mark Strathern
This paper aims to address the advantage of considering an evolutionary classification scheme for commercial aerospace supply chains. It is an industry wide approach. By going…
Abstract
Purpose
This paper aims to address the advantage of considering an evolutionary classification scheme for commercial aerospace supply chains. It is an industry wide approach. By going beyond the performance of the single firm and considering the whole supply chain for a product a better understanding of present states and performances of the firms within the chain can be achieved.
Design/methodology/approach
The approach is presented as evolutionary steps by introduction of key supply chain characters. These steps are brought together by applying cladistics to classify the evolutionary relationships between supply chain forms.
Findings
Key character states define the change of supply chain forms in the evolutionary adaptation to market realities and to proactive responses to increased competition.
Originality/value
The potential benefits of this approach include a benchmark of best practice, a strategic tool for policy development, and the creation of future scenarios.
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The research provides new strategies for enhancing resilience in pharmaceutical manufacturing by addressing the dynamic nature of digital technology within the challenging…
Abstract
Purpose
The research provides new strategies for enhancing resilience in pharmaceutical manufacturing by addressing the dynamic nature of digital technology within the challenging framework of a VUCA (volatility, uncertainty, complexity and ambiguity) world, focusing on the concept of digital twins (DTs). This paper aims to emphasize the pivotal role of resilience in navigating disruptions and propose future research directions to contribute to the industry’s effective adaptation to uncertainties and dynamic challenges.
Design/methodology/approach
This research uses a qualitative approach, drawing insights from an extensive literature review on pharmaceutical manufacturing resilience and the integration of digital technologies. Methodologically, it synthesizes information from scholarly articles, empirical studies and industry reports to construct a comprehensive understanding. This design facilitates a thorough examination of the subject, providing valuable insights for practitioners, researchers and policymakers in the pharmaceutical industry.
Findings
This paper illustrates the practical application of DTs in vaccine production, emphasizing their critical role in ensuring quality, safety and adaptability. It adopts the “seizing, sensing and transforming” framework, showcasing the strategic integration of Industry 4.0 technologies to address dynamic challenges. Key insights include the significance of human elements alongside technological advancements, the need for real-time monitoring using Internet of Things (IoT) and artificial intelligence (AI) and the transformative potential of sustainability practices, diversified supply chains and collaborative ecosystems.
Research limitations/implications
This paper highlights the integration of human and digital elements, emphasizing IoT, AI and DTs for resilience. It underscores sustainable practices, supply chain diversification and collaboration as key strategies for addressing pharmaceutical industry challenges.
Practical implications
This paper offers practical insights for pharmaceutical manufacturing, emphasizing the need for robust cybersecurity measures, strategic investments in digital technologies and proactive regulatory compliance. Managers are encouraged to allocate budgets for digital integration, prioritize change management for technology adoption and invest in a skilled workforce. The adoption and management of DTs are highlighted to enhance resilience. Overall, the paper guides pharmaceutical organizations in navigating the complexities of the VUCA environment, ensuring the quality and safety of products through a multifaceted approach that combines advanced technologies with sustainability practices, supply chain diversification and collaborative ecosystems.
Social implications
The research addresses VUCA challenges, including volatility, uncertainty, complexity and ambiguity in pharmaceutical manufacturing. It emphasizes societal benefits such as uninterrupted drug supply, environmental responsibility through sustainable practices and enhanced collaboration among stakeholders. By leveraging digital technologies and resilience strategies, the study highlights the pharmaceutical sector’s pivotal role in managing health crises and ensuring patient safety.
Originality/value
This paper offers substantial originality and value by presenting a comprehensive framework for bolstering resilience in pharmaceutical manufacturing within the VUCA environment. The integration of advanced digital technologies, notably DTs, is explored in-depth, providing novel insights into their practical application. The “seizing, sensing and transforming” concept contributes a nuanced approach, considering both technological and human dimensions. This paper addresses the gaps in current literature by combining diverse elements such as Industry 4.0, risk assessment, sustainability practices and collaborative ecosystems. Its practical implications for managers and detailed exploration of research directions add tangible value, guiding future endeavors in enhancing pharmaceutical industry resilience.