Search results

1 – 4 of 4
Article
Publication date: 14 March 2018

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)…

1979

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.

Details

International Journal of Physical Distribution & Logistics Management, vol. 48 no. 3
Type: Research Article
ISSN: 0960-0035

Keywords

Article
Publication date: 5 July 2021

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.

Details

Construction Innovation , vol. 22 no. 4
Type: Research Article
ISSN: 1471-4175

Keywords

Open Access
Article
Publication date: 21 March 2022

Maisam Abbasi and Liz Varga

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…

2768

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.

Details

European Journal of Management Studies, vol. 27 no. 1
Type: Research Article
ISSN: 2183-4172

Keywords

Article
Publication date: 6 February 2009

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…

2389

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.

Details

Journal of Manufacturing Technology Management, vol. 20 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

1 – 4 of 4