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21 – 30 of 165Ruth Banomyong, Puthipong Julagasigorn, Paitoon Varadejsatitwong and Pairach Piboonrungroj
An understanding of the “AS-IS” stage of a relief operation is the basis for further action in humanitarian supply chain management. The purpose of this paper is to develop a…
Abstract
Purpose
An understanding of the “AS-IS” stage of a relief operation is the basis for further action in humanitarian supply chain management. The purpose of this paper is to develop a toolbox called the Humanitarian Supply Chain Assessment Tool (HumSCAT). This toolbox is comprised of a set of basic tools which can be classified into each phase of disaster relief.
Design/methodology/approach
The HumSCAT is proposed by paralleling frequently used tools in commercial supply chains with the objectives and characteristics of relief phases. A case study was used to validate the HumSCAT along with six tools provided in the preparation phase.
Findings
The HumSCAT consists of seven tools in the preparation phase, nine tools in the response phase and ten tools in the recovery phase. The case study illustrates how to use the HumSCAT and the six tools. The latter were found to be useful for improving the relief chain.
Research limitations/implications
The list of tools is not exclusive. Other tools might be applicable as long as they meet the objectives and characteristics of the phase. A tool should be adjusted accordingly to the contexts. Tools in other phases should be validated in future research.
Practical implications
The HumSCAT may serve as a reference toolbox for practitioners. Its output can be used for further designing of the “TO-BE” status of humanitarian relief chains.
Originality/value
The HumSCAT is proposed as a toolbox for academics and practitioners involved in humanitarian supply chains.
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Gregory N. Stock and Christopher McDermott
The purpose of this paper is to examine empirically how operational performance and contextual factors contribute to differences in overall patient care costs across different…
Abstract
Purpose
The purpose of this paper is to examine empirically how operational performance and contextual factors contribute to differences in overall patient care costs across different hospitals.
Design/methodology/approach
Administrative data are employed from a sample of hospitals in New York State to construct measures of contextual factors, operational performance, and cost per patient. Operational performance and cost variables are adjusted to account for case mix differences across hospitals. Hierarchical regression is used to analyze the effects of contextual and operational variables on cost performance.
Findings
Increased length of stay, increased patient volume, and educational mission were associated with higher cost per patient. Mortality performance was associated with lower cost per patient. However, it was not found that location, size, or ownership status had a significant relationship with cost performance.
Practical implications
This paper identifies several significant relationships between contextual and operational variables and hospital costs. From a managerial perspective, these findings highlight the fact that some drivers of cost in hospitals are under the control of managers. One of the primary cost drivers in the study is length of stay, which implies that there is significant room for improvement in healthcare performance through a focus on operational excellence.
Originality/value
For researchers, the present study highlights the relative importance of operational versus contextual factors, with respect to cost performance in hospitals. The results of this study also provide direction for additional research into the role operational performance might play in determining the overall organizational performance in a hospital.
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Li Chunsheng, Christina W.Y. Wong, Ching-Chiao Yang, Kuo-Chung Shang and Taih-cherng Lirn
Building supply chain (SC) resilience is crucial for business continuity given the ever-changing environmental conditions. Based on the resource orchestration and organizational…
Abstract
Purpose
Building supply chain (SC) resilience is crucial for business continuity given the ever-changing environmental conditions. Based on the resource orchestration and organizational culture theories, the purpose of this paper is to investigate the business value of SC resilience with the consideration of the roles of internal integration (II) and external integration (EI), risk management culture (RMC) and SC flexibility (SCF).
Design/methodology/approach
This study investigates how RMC, SCF and intra and interorganizational integration affect the performance of SC resilience. It collects primary and secondary data from 194 manufacturing firms listed in the Taiwan Stock Exchange and Taipei Exchange.
Findings
Results validate the authors’ hypothesis that RMC, SCF and II improve the financial performance of firms through SC resilience efforts.
Research limitations/implications
This study uses firms from Taiwan manufacturing industry, which might introduce country and industry bias.
Practical implications
This study helps managers improve the financial performance of their SC resilience efforts by developing RMC, SCF, II and IE across functions and partner firms.
Originality/value
This study contributes to the literature by empirically testing the relationship between SC resilience and financial performance, and how the relationship is moderated by RMC, SCF, II and EI based on the theories of organizational culture and resource orchestration.
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Hendrik Sebastian Birkel and Evi Hartmann
The purpose of this paper is to investigate the implications for supply chain risk management (SCRM) by applying internet of things (IoT). Therefore, the impact and effects on the…
Abstract
Purpose
The purpose of this paper is to investigate the implications for supply chain risk management (SCRM) by applying internet of things (IoT). Therefore, the impact and effects on the SCRM process, as well as the internal and external pathway and the outcome of SCRM are examined.
Design/methodology/approach
This study adopts a multiple case study methodology with twelve companies from the manufacturing industry. This study is guided by the information processing theory (IPT) and a theory-grounded research framework to provide insights into information requirements and information processing capabilities for IoT-supported SCRM.
Findings
The studied cases demonstrate an increase in data availability in the companies that contribute to improved process transparency and process management. Furthermore, the process steps, risk transparency, risk knowledge and risk strategies have been enhanced, which enabled improved SCRM performance by fitting information requirements and information processing capabilities, thus allowing for competitive advantage.
Practical implications
This study offers in-depth insights for SCRM managers into the structure of IoT systems, primary use cases and changes for the process itself. Furthermore, implications for employees, incentives and barriers are identified, which could be used to redesign SCRM.
Originality/value
This study addresses the requirement for additional empirical research on technology-enhanced SCRM, supported by IPT as a theoretical foundation. The radical change of SCRM by IoT is demonstrated while discussing the human role, implications for SCRM strategies and identifying relevant topics for future development.
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In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of…
Abstract
In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.
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Mandeep Saini, Mohammed Arif and Dennis J. Kulonda
The purpose of the paper is to investigate the critical success factors (CSFs) associated with the effectiveness of transfer and sharing of tacit knowledge in lean and agile…
Abstract
Purpose
The purpose of the paper is to investigate the critical success factors (CSFs) associated with the effectiveness of transfer and sharing of tacit knowledge in lean and agile construction processes.
Design/methodology/approach
The study identifies ten CSFs that initiate the transferring and sharing of tacit knowledge. The CSFs are validated through quantitative study. This study recruited project managers, executives, consultants and other managers that are directly involved in the management of a construction project. It recruits the respondents those have background and experience from disciplines such as lean construction, agile construction, construction supply chain (CSC) and knowledge management in lean, agile and CSC. The data collected through self-administrative questionnaire are categorised as ordinal data to analyse in SPSS with frequency and Kruskal–Wallis H test, Spearman’s correlation analysis and a rank-order analysis is done to establish the level of importance of those factors.
Findings
Initially, “Trust between construction organisations” is identified as the foremost CSF. Moreover, other CSFs such as motivation, leadership capabilities, business strategies and organisational capabilities follow trust.
Originality/value
This is the first study that investigates and establishes the CSFs that are essential to initiate transferring and sharing tacit knowledge in a lean and in an agile construction processes.
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Thi Nguyet Que Nguyen, Liem Viet Ngo, Gavin Northey and Christopher Agyapong Siaw
Drawing upon the resource-based view of the firm, this paper aims to develop and empirically validate a model that examines the relationships between technical knowledge…
Abstract
Purpose
Drawing upon the resource-based view of the firm, this paper aims to develop and empirically validate a model that examines the relationships between technical knowledge management infrastructure (TKMI), social KM infrastructure (SKMI) and competitive advantage provided by KM (CAPKM). The authors argue that KM process capabilities account for the direct effects of TKMI and SKMI on CAPKM.
Design/methodology/approach
The study used partial least squares —structural equating modelling (SEM) to empirically test the hypotheses using a sample of 251 firms from an emerging economy. The results were then confirmed using the bias-corrected bootstrap procedure. The study also conducted two robustness checks including examining a competing moderation model and performing fuzzy-set qualitative comparative analysis (fsQCA), a set–theoretic method that examines how causal conditions combine into all possible configurations of binary states to explain the desired outcome.
Findings
The findings show that TKMI and SKMI have positive effects on CAPKM. In addition, KM process capabilities mediate the direct effects of TKMI and SKMI on CAPKM.
Originality/value
This paper complements and advances previous research in several ways. Firstly, the paper develops a conceptual model that depicts the interrelationships between TKMI, SKMI, KM process capabilities and CAPKM. Secondly, this paper suggests the critical role of the “action” component (i.e. KM process capabilities) that capitalises on the KM resources in the creation of CAPKM.
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Paul Chapman, Michael Bernon and Paul Haggett
This research seeks to identify and apply techniques that can be used in a supply chain context to diagnose the causes of variability in delivery lead time.
Abstract
Purpose
This research seeks to identify and apply techniques that can be used in a supply chain context to diagnose the causes of variability in delivery lead time.
Design/methodology/approach
A literature review was conducted and a number of quality management (QM), techniques were selected as candidates for diagnosing delivery time variability. A case study of the application of these techniques is provided on the UK‐based defence supply chain that supported UK operations in the Iraq war of 2003.
Findings
Candidate QM techniques for diagnosing delivery time variability were identified, namely: Process Chart; Histogram; Failure Mode and Effect Analysis; and Cause and Effect Analysis. These techniques were successful in enabling the diagnosis of the causes of delivery time variability in the context of the case study investigated.
Practical implications
The work illustrates how QM techniques can be employed to address issues with supply chains, not least with regard to the important problem of variability in delivery leadtime. In practice, this highlights benefits that result to practitioners in order to improve the performance of operations in a dynamic setting, such as the defence supply chain studied here.
Originality/value
This work has value in presenting the findings of an in‐depth case study on the application of QM techniques in a multi‐echelon supply chain setting. It is also original in employing the FMEA technique together with an end‐customer perspective to assess the effect of failure modes in operations across a supply chain. FMEA also provided the means to examine supply chain risk, thus providing a research instrument for deploying risk as a lens. The application of QM techniques in this novel setting provides support for their application beyond the conventional setting of internal operations.
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Organizations, would they be individual companies or large multi-firm networks, face a wide variety of potential risks requiring dedicated keen management. It all the better…
Abstract
Organizations, would they be individual companies or large multi-firm networks, face a wide variety of potential risks requiring dedicated keen management. It all the better applies to supply-chains as risk, related to both physical and information flows, pervades the whole logistics network and has acquired a new and growing security dimension since 9/11. More specifically, as they are now under the permanent threat of terrorism, and because offering sufficient security levels is bound to become a necessary condition for global supply-chain membership, seaports need to adjust their risk management strategy and processes accordingly. In such a context, this paper aims at describing the project of a decision-support system, dedicated to container transit security-wise decision making and which features an expert-system architecture.
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