Purpose: A growing need for global sourcing of business has subjected firms to higher levels of uncertainty and increased risk of supply disruption. Differences in industry and infrastructure make it more difficult for firms to manage supply disruption risks effectively. This study aims to extend developing research in this area by addressing gaps within existing literature related to environmental turbulence and uncertainties. Design/Methodology/Approach: We test our model using data collected from 253 senior managers and directors in the Thai beverage industry using advanced statistical techniques to explore the relationship between representations of supply disruption risk and uncertainty. Findings: The results show that both magnitude and probability of risk impact on the disruption risk, but the probability of loss is a dominant determinant. We also find that demand uncertainty and quality uncertainty affect the risk perception of purchasing managers, and are related to the magnitude of disruption risk, rather than the frequency of occurrence. Interestingly, our results show that quality uncertainty negatively impacts on the severity of disruption risk. Research limitations/ implication:The construct validity of demand uncertainty was under the required threshold, intimating the need for further construct development. Practical Implications: The framework provides managers with direction on how to formulate and target their disruption risk management strategies. The work also allows practitioners to critically reflect on implicit risk management strategies they may already employ and their effectiveness. Originality/Value: The paper identifies key antecedents of supply disruption risk and tests them within a novel industrial context of the beverage industry and a novel national context of Thailand.
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Purpose -We investigate how Organisational Learning (OL) can occur through Process Improvement (PI) activities and how this can lead to sustained improvement over time in the context of small and medium-sized enterprises (SMEs).Design/methodology/approach -We study PI practices in six engineering-oriented SMEs via interview-based case studies. We draw from a range of literature and use an OL conceptual framework, informed by Crossan et al.'s (1999) 4I framework, as an analytical lens.Findings -The OL perspective provides new insights to conceptualize the nature of PI as a multi-level practice in SMEs. Effective PI practices within SMEs are shown to be consistent with OL concepts, enabling firms to translate individually identified improvement opportunities into organisational-level changes resulting in sustained benefits. A new conceptual model is presented that explains how SMEs can learn though improvement activities. The key role of management support, both operational and strategic, is highlighted. It is necessary for management to provide sufficient PI opportunities to enable and sustain beneficial learning.Research limitations/implication -The study is based on a sample of engineering-oriented SMEs located in the UK. Further case-based, longitudinal and survey-based research with firms of different types will enhance the generalisability of the findings, allowing the confirmation and extension of the new conceptual model. Practical Implication -The findings provide a theoretically underpinned framework for OL in engineering-oriented SMEs deriving from PI activities. The new model highlights the key mechanisms that enable learning from improvement activities. The presented findings highlight the key role of management in introducing additional learning opportunities in the form of new business that requires exploratory learning. Without this, the reduction in improvement opportunities reduces the benefits that can be realised from PI.Originality/value -OL provides a multi-level perspective to understanding how smaller firms are able to undergo systematic improvements and the support required to continually improve.
Purpose – Organisational ambidexterity has emerged as a new research paradigm that is relevant for promoting long-term firm performance however, research within practice-oriented domains has been limited. The purpose of this paper is to explore process improvement through the theoretical lens of organisational ambidexterity to understanding the conflicting aims of variation increasing and decreasing forms of operational process improvement. Design/methodology/approach – Drawing on reviews of both operations and strategic management literature, the paper employs a case study methodology to unpack critical aspects of ambidextrous process improvement across a range of organisational environments. Findings – The research shows that while the companies engaged in qualitatively different forms of improvement, by interpreting practices from an ambidextrous perspective, the complimentary nature of the two forms of improvement could be appreciated. The diversity of firms involved in the research also allowed findings to be considered in relation to a range of operational contexts. Research limitations/implications – The research highlights the relevance of an organisational ambidexterity perspective on operational process improvement, although the selection of companies the research draws from, limits it relevance to non-project-oriented organisations. Practical implications – Provides practitioners with a framework to inform their views and aims when engaging in process improvement activities. Originality/value – This is one of the first articles exploring process improvement from an ambidextrous perspective. This will help re-conceptualise process improvement away from wholly focusing upon quality improvement and variation reducing activities to help account for a more dynamic operating environment.
Recent interest in strategic initiatives, in particular Six Sigma, appear to relate to three forms of improvement: continuous improvement, quality improvements and process improvement. The similarities between these approaches have led to some confusion within the literature and raise the question whether these approaches are tautological. This paper argues against this by firstly exploring the nuances of these three areas. Based upon a systematic literature review of operations management journals, insight is developed by exploring the three terms individually and then in combination, resulting in the presentation of a number of research propositions to guide further research. To extend our understanding of operational improvement, organisational learning is identified as a common theoretical perspective employed within each of the three forms of improvements. Organisational learning is subsequently utilised to underpin the relationship between the three terms, highlighting the need for both operational and strategic improvement, drawing upon strategic management literature. These are presented in the form of a conceptual model, in addition to further research propositions. The paper concludes by presenting future research opportunities identified by the work in the form of construct development, exploratory case study research and survey work to test the presented model and propositions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.