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1 – 3 of 3Sara Perotti, Roman Felipe Bastidas Santacruz, Peik Bremer and Jakob Emanuel Beer
In the last decade, the Industry 4.0 paradigm had started to rapidly expand to the logistics domain. However, Logistics 4.0 is still in an early adoption stage: some areas such as…
Abstract
Purpose
In the last decade, the Industry 4.0 paradigm had started to rapidly expand to the logistics domain. However, Logistics 4.0 is still in an early adoption stage: some areas such as warehousing are still exploring its applicability, and the technological implementation of this paradigm can become fuzzy. This paper addresses this gap by examining the relationship among influencing factors, barriers, and benefits of Logistics 4.0 technologies in warehousing contexts.
Design/methodology/approach
Starting from a Systematic Literature Review (SLR) approach with 56 examined documents published in scientific journals or conference proceedings, a conceptual framework for Logistics 4.0 in warehousing is proposed. The framework encompasses multiple aspects related to the potential adopter’s decision-making process.
Findings
Influencing factors toward adoption, achievable benefits, and possible hurdles or criticalities have been extensively analyzed and structured into a consistent picture. Company’s digital awareness and readiness result in a major influencing factor, whereas barriers and criticalities are mostly technological, safety and security, and economic in nature. Warehousing process optimization is the key benefit identified.
Originality/value
This paper addresses a major gap since most of the research has focused on specific facets, or adopted the technology providers’ perspective, whereas little has been explored in warehousing from the adopters’ view. The main novelty and value lie in providing both academics and practitioners with a thorough view of multiple facets to be considered when approaching Logistics 4.0 in logistics facilities.
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Lucas Conde Stocco, Luciana Oranges Cezarino, Lara Bartocci Liboni and V.G. Venkatesh
This paper aims to analyse systematically previous literature that sought to understand the formation of circular supply chains (CSCs) and propose a research agenda for…
Abstract
Purpose
This paper aims to analyse systematically previous literature that sought to understand the formation of circular supply chains (CSCs) and propose a research agenda for implementing circular economy 4.0 in the wholesale industry.
Design/methodology/approach
The research is based on a systematic literature review.
Findings
There is a prevalence of research related to manufacturing and how industrial complexes can establish practices linked to the circular economy. The reviewed papers in this study can be classified into three perspectives: systemic analysis, institutional perspective and operational perspective. Considering these categories and the wholesaler perspective, there is a scope to explore Industry 4.0 technologies applications with wholesale distributors and their contributions to the reverse flow of waste along the CSC. In addition, it is interesting to examine the interpretation of wholesale distributors on circularity, and how these members can contribute to filling the information gaps between industries and retailers based on the concepts of circular economy and Industry 4.0, and how they can contribute to establishing public policies for proper waste recycling methods.
Originality/value
First, this research considers the wholesaler the exclusive supply chain member under the influence of Industry 4.0 and highlights its importance in firms' circular operations. Second, it provides an inclusive plan for the other stakeholders to interact with the wholesaler echelon to design and operate under 4.0 technologies to consolidate effective CSCs.
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This paper aims to explore various factors associated with radio frequency identification (RFID) adoption with quantitative meta-analysis. More specifically, this paper attempts…
Abstract
Purpose
This paper aims to explore various factors associated with radio frequency identification (RFID) adoption with quantitative meta-analysis. More specifically, this paper attempts to measure key variables of RFID adoption derived from Rogers’ innovation theory and further examines how state intervention influences the process of RFID adoption. First, this paper compares, relying on a meta-analysis, various mean effect sizes among technological, organizational and environmental factors (i.e. government-driven policies) that Rogers suggested in his innovation model.
Design/methodology/approach
In mean effect size analysis, this paper finds that the technological factor is the most powerful factor that affects the RFID adoption. The technological factor is statistically significant across all regions, including North America, Europe and Asia. The organizational factor is significant only in developing countries like Southeast Asian countries and East Asian countries. Environmental factors like government intervention for facilitating RFID adoption are strong enough only in Southeast Asia and Europe.
Findings
This paper finds that government’s supportive policy is more effective in Europe but not in America, while external pressure is still more effective in Southeast Asia. These results implicate that developmentalism or government-driven policy can be effective not only in developing countries but also in the case of developed countries. In addition, this paper conducts a seemingly unrelated regression (SUR) analysis based on Fisher’s standardized score.
Originality/value
In SUR analysis, this paper finds that the correlations between RFID adoption intention and three innovation factors vary across industrial areas. More specifically, the manufacturing area shows negative moderating effect on all three equations where correlations between Rogers’ innovation factors and RFID adoption intention are meta-dependent variables. Also, RFID adoption is accelerated when the size of the firm is large or the location of the firm is in Southeast Asia. This result implicates that the aspect of technology adoption can be changed by region and type of industry.
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