Bart A. Lameijer, Wilmer Pereira and Jiju Antony
The purpose of this research is to develop a better understanding of the hurdles in implementing Lean Six Sigma (LSS) for operational excellence in digital emerging technology…
Abstract
Purpose
The purpose of this research is to develop a better understanding of the hurdles in implementing Lean Six Sigma (LSS) for operational excellence in digital emerging technology companies.
Design/methodology/approach
We have conducted case studies of LSS implementations in six US-based companies in the digital emerging technology industry.
Findings
Critical success factors (CSF) for LSS implementations in digital emerging technology companies are: (1) organizational leadership that is engaged to the implementation, (2) LSS methodology that is rebranded to fit existing shared values in the organization, (3) restructuring of the traditional LSS training program to include a more incremental, prioritized, on-the-job training approach and (4) a modified LSS project execution methodology that includes (a) condensing the phases and tools applied in LSS projects and (b) adopting more iterative project management methods compared to the standard phased LSS project approach.
Research limitations/implications
The qualitative nature of our analysis and the geographic coverage of our sample limit the generalizability of our findings.
Practical implications
Implications comprise the awareness and knowledge of critical success factors and LSS methodology modifications specifically relevant for digital emerging technology companies or companies that share similarities in terms of focus on product development, innovation and growth, such as R&D departments in high-tech manufacturing companies.
Originality/value
Research on industry-specific enablers for successful LSS implementation in the digital emerging technology industry is virtually absent. Our research informs practitioners on how to implement LSS in this and alike industries, and points to aspects of such implementations that are worthy of further attention from the academic community.
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Keywords
Nelson O. Mancilla and Wilmer S. Sepúlveda
The purpose of this research is to analyse the upstream information distortion among the various members of the agro-food supply chain, regarding the consumers’ quality…
Abstract
Purpose
The purpose of this research is to analyse the upstream information distortion among the various members of the agro-food supply chain, regarding the consumers’ quality perceptions.
Design/methodology/approach
The study focused on the beef chain, which is one of the most active in quality management terms. The study involved different actors in the chain: consumers (402), retailers (98), agro-industrials (40) and cattle farmers (84).
Findings
The results demonstrated that the more the upstream agents move away from consumers, the more the information becomes distorted. The research also highlighted that the greater the number of links in the chain, the more the consumer’s upstream information tends to be distorted.
Originality/value
The information flow is one of the important aspects on which the supply chain management focuses. This paper contributes to information flow research between different actors in the supply chain regarding product quality from the consumer perspective. Therefore, for the members of the supply chain, this research represents the potential to direct management’s value-added activities towards what consumers value the most.
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Qiyao Han and Greg Keeffe
Large-scale urbanisation has become a significant barrier to the natural migration of tree species, which is being exacerbated by accelerated climate change. Within this context…
Abstract
Purpose
Large-scale urbanisation has become a significant barrier to the natural migration of tree species, which is being exacerbated by accelerated climate change. Within this context, improving the permeability of urban landscapes is expected to be an effective strategy to facilitate the process of forest migration through cities. The purpose of this paper is to develop a method to assess the permeability of urban green spaces as stepping stones for forest migration, from the perspective of seed dispersal.
Design/methodology/approach
The proposed method combines a least-cost path (LCP) model and a graph theory-based approach. The LCP model is applied to map the potential pathways of seed dispersal at multiple spatial and temporal scales, based on which graph theory-based indices are used to quantify the accessibility of urban landscapes for seed dispersers. This method is demonstrated by a case study in the Greater Manchester area, UK. Eurasian jay, Eurasian siskin, coal tit and grey squirrel are selected as the main seed dispersers in the study area.
Findings
The results provide a comparison of the landscape permeability maps generated from different seed dispersers and identify key areas likely to facilitate the process of forest migration. Recommendations regarding landscape management for improving permeability are also discussed.
Originality/value
This method allows designers to re-visualise highly modified and fragmented urban landscapes as stepping stones for seed dispersal, which in turn allows for a more piecemeal form of landscape design to optimise urban landscapes for climate adaptation.