Emerald
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Supply management: is it a discipline? Purpose To examine management literature for guidance on what constitutes a discipline. To examine supply management publications to determine whether the field constitutes a discipline or an emerging discipline. To contribute a structured evaluation to the body of supply management theory/discipline development knowledge. Design/methodology/approach Literature review of what constitutes a discipline and an initial assessment of whether supply management is a discipline. Development of research questions used to design tests, using combinations of qualitative pattern matching, journal quality rankings, and social science citations index impact factor. Application of the tests, to evaluate field coherence, quality and the existence of a discipline‐debate, to determine whether supply management is an emerging discipline. Findings An initial literature review finds supply management not to be a discipline, as the field lacks quality of theoretical development and discussion, and coherence. Tests for increasing evidence of coherence, quality and impact yield positive results, indicating that supply management is progressing in its theoretical development. The test findings combined with the existence of the start of a discipline‐debate indicate that supply management should be judged to be an emerging discipline. Originality/value Drawing from the management literature, the paper provides a unique structured evaluation of the field of supply management, finding it not to be a discipline, but showing evidence of being an emerging discipline.
Emerald - - 2006
The state of operations management in the UK ‐ a personal view Notes the emergence of major centres of excellence as a sign of the health of operations management as a discipline in the UK. Cites various institutions and their particular areas of expertise. Points out that the research assessment exercise remains a key point of discussion. Considers strengths and weaknesses of current research in the field. Looks to the future of operations as a discipline in the UK, suggesting the need for a multi‐disciplinary approach truly tempered with the reality of human behaviour and motivation.
Emerald - - 1998
An evolutionary complex systems decision‐support tool for the management of operations Purpose The purpose of this is to add both to the development of complex systems thinking in the subject area of operations and production management and to the limited number of applications of computational models and simulations from the science of complex systems. The latter potentially offer helpful decision‐support tools for operations and production managers. Design/methodology/approach A mechanical engineering firm was used as a case study where a combined qualitative and quantitative methodological approach was employed to extract the required data from four senior managers. Company performance measures as well as firm technologies, practices and policies, and their relation and interaction with one another, were elicited. The data were subjected to an evolutionary complex systems (ECS) model resulting in a series of simulations. Findings The findings highlighted the effects of the diversity in management decision making on the firm's evolutionary trajectory. The CEO appeared to have the most balanced view of the firm, closely followed by the marketing and research and development managers. The manufacturing manager's responses led to the most extreme evolutionary trajectory where the integrity of the entire firm came into question particularly when considering how employees were utilised. Research limitations/implications By drawing directly from the opinions and views of managers, rather than from logical “if‐then” rules and averaged mathematical representations of agents that characterise agent‐based and other self‐organisational models, this work builds on previous applications by capturing a micro‐level description of diversity that has been problematical both in theory and application. Practical implications This approach can be used as a decision‐support tool for operations and other managers providing a forum with which to explore: the strengths, weaknesses and consequences of different decision‐making capacities within the firm; the introduction of new manufacturing technologies, practices and policies; and the different evolutionary trajectories that a firm can take. Originality/value With the inclusion of “micro‐diversity”, ECS modelling moves beyond the self‐organisational models that populate the literature but has not as yet produced a great many practical simulation results. This work is a step in that direction.
Emerald - Tập 30 Số 7 - Trang 700-720 - 2010
Relational Database Management Systems: A New Tool for Coding and Classification In this article the properties of relational database management
systems (DBMSs) are discussed. It is shown how they can be used as an
effective tool for performing the function of primary‐key‐coding schemes
for classifying product families in the application of group technology.
The attributes of the relational DBMS are demonstrated and compared to
traditional coding schemes.
Emerald - Tập 11 Số 5 - Trang 47-56 - 1991
Integration between manufacturers and third party logistics providers? Purpose The purpose of this study is to analyse the extent of the integration between manufacturers and third party logistics (TPL) providers at present and how the integration is expected to develop in the near future. The focus is on studying what tasks are part of the cooperation, what information and communications technology (ICT) tools are used for support, and what types of services are supplied and are expected to be supplied by TPL providers in the future. Design/methodology/approach A multiple case study of seven manufacturers and TPL providers is conducted. As the basis for the study a literature review is presented focusing on supply chain management and TPL provider integration as well as operationalisation of the integration concept. A framework is chosen for developing a detailed interview guide. Findings Cooperation is primarily found in sub‐processes of three out of the eight business processes studied. Further integration in the same processes is expected, based on ICT tools and with a focus on cost. ICT competences are primarily seen as a qualifier not a differentiator. Because the future TPL industry is expected to be characterised by more standardised services, more segmented markets for the various services and more intense competition, the manufacturers do not expect increased dependence on the TPL providers. Research limitations/implications Managerial and behavioural components are not part of this study and their effect on integration will require further investigation. Originality/value From a supply chain management perspective, the study sheds light on a rarely explored area concerning the integration between manufacturers and TPL providers and its future development.
Emerald - Tập 28 Số 4 - Trang 331-359 - 2008
Measuring the operational performance of intensive care units using the analytic hierarchy process approach Purpose The purpose of this study is to develop a performance measurement model for service operations using the analytic hierarchy process approach. Design/methodology/approach The study reviews current relevant literature on performance measurement and develops a model for performance measurement. The model is then applied to the intensive care units (ICUs) of three different hospitals in developing nations. Six focus group discussions were undertaken, involving experts from the specific area under investigation, in order to develop an understandable performance measurement model that was both quantitative and hierarchical. Findings A combination of outcome, structure and process‐based factors were used as a foundation for the model. The analyses of the links between them were used to reveal the relative importance of each and their associated sub factors. It was considered to be an effective quantitative tool by the stakeholders. Research limitations/implications This research only applies the model to ICUs in healthcare services. Practical implications Performance measurement is an important area within the operations management field. Although numerous models are routinely being deployed both in practice and research, there is always room for improvement. The present study proposes a hierarchical quantitative approach, which considers both subjective and objective performance criteria. Originality/value This paper develops a hierarchical quantitative model for service performance measurement. It considers success factors with respect to outcomes, structure and processes with the involvement of the concerned stakeholders based upon the analytic hierarchy process approach. The unique model is applied to the ICUs of hospitals in order to demonstrate its effectiveness. The unique application provides a comparative international study of service performance measurement in ICUs of hospitals in three different countries.
Emerald - Tập 26 Số 8 - Trang 849-865 - 2006
Big data analytics in digital platforms: how do financial service providers customise supply chain finance? Purpose This study examines the role of financial service providers (FSPs) in assessing the supply chain credit of small and medium-sized enterprises (SMEs) and how they help SMEs obtain supply chain finance (SCF) through an established digital platform using big data analytics (BDA). Design/methodology/approach This study conducted data mining analysis on the archival data of China's FSPs in the mobile production industry from 2015 to 2018, using neural networks in the first stage and multiple regression in the second stage. Findings The findings suggest that digital platforms sponsored by FSPs have a discriminative effect based on implicit BDA on identifying the quality and potential risks of borrowers. The results also show that tailored information utilised by FSPs has a supportive effect based on explicit BDA in helping SMEs obtain financing. Originality/value This study contributes to the emergent research on BDA in supply chain management by extending the contextual research on information signalling and platform theory in SCF. Furthermore, it examines the distinctive financing decision models of FSPs and provides a solution that addresses the information deficiency and overload of both lenders and borrowers and plays a certain reference role in alleviating the financing problems of SMEs.
Emerald - Tập 41 Số 4 - Trang 410-435 - 2021
Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management Purpose Despite the variety of supply chain management (SCM) research, little attention has been given to the use of Big Data Analytics for increased information exploitation in a supply chain. The purpose of this paper is to contribute to theory development in SCM by investigating the potential impacts of Big Data Analytics on information usage in a corporate and supply chain context. As it is imperative for companies in the supply chain to have access to up-to-date, accurate, and meaningful information, the exploratory research will provide insights into the opportunities and challenges emerging from the adoption of Big Data Analytics in SCM. Design/methodology/approach Although Big Data Analytics is gaining increasing attention in management, empirical research on the topic is still scarce. Due to the limited availability of comparable material at the intersection of Big Data Analytics and SCM, the authors apply the Delphi research technique. Findings Portraying the emerging transition trend from a digital business environment, the presented Delphi study findings contribute to extant knowledge by identifying 43 opportunities and challenges linked to the emergence of Big Data Analytics from a corporate and supply chain perspective. Research limitations/implications These constructs equip the research community with a first collection of aspects, which could provide the basis to tailor further research at the nexus of Big Data Analytics and SCM. Originality/value The research adds to the existing knowledge base as no empirical research has been presented so far specifically assessing opportunities and challenges on corporate and supply chain level with a special focus on the implications imposed through Big Data Analytics.
Emerald - Tập 37 Số 1 - Trang 10-36 - 2017
Digital health technology enhances resilient behaviour: evidence from the ward Purpose In the healthcare management domain, there is a lack of knowledge concerning the role of resilience practices in improving patient safety. The purpose of this paper is to understand the capabilities that enable healthcare resilience and how digital technologies can support these capabilities. Design/methodology/approach Within- and cross-case research methodology was used to study resilience mechanisms and capabilities in healthcare and to understand how digital health technologies impact healthcare resilience. The authors analyze data from two Italian hospitals through the lens of the operational failure literature and anchor the findings to the theory of dynamic capabilities. Findings Five different dynamic capabilities emerged as crucial for managing operational failure. Furthermore, in relation to these capabilities, medical, organizational and patient-related knowledge surfaced as major enablers. Finally, the findings allowed the authors to better explain the role of knowledge in healthcare resilience and how digital technologies boost this role. Practical implications When trying to promote a culture of patient safety, the research suggests healthcare managers should focus on promoting and enhancing resilience capabilities. Furthermore, when evaluating the role of digital technologies, healthcare managers should consider their importance in enabling these dynamic capabilities. Originality/value Although operations management (OM) research points to resilience as a crucial behavior in the supply chain, this is the first research that investigates the concept of resilience in healthcare systems from an OM perspective, with only a few authors having studied similar concepts, such as “workaround” practices.
Emerald - Tập 40 Số 1 - Trang 34-67 - 2019
Capabilities for enhancing supply chain resilience and responsiveness in the COVID-19 pandemic: exploring the role of improvisation, anticipation, and data analytics capabilities Purpose This study aims to identify critical capabilities to address unforeseen and novel disruptions, such as those instigated by COVID-19, and explore their role as essential enablers of supply chain resilience and responsiveness, leading to improved performance. Design/methodology/approach The structural equation modeling technique was employed for analyzing the proposed associations using survey data from 206 manufacturers operating during the COVID-19 pandemic in a developing country, Pakistan. Findings Key findings show how improvisation and anticipation act distinctly yet jointly to facilitate supply chain resilience and responsiveness during the COVID-19 pandemic. Also, data analytics capability positively affects anticipation and improvisation, which mediate the effect of data analytics on supply chain resilience and responsiveness. Research limitations/implications The findings contribute to the theoretical and empirical understanding of the existing literature, suggesting that a combination of improvisation, anticipation and data analytics capabilities is highly imperative for enhancing supply chain resilience and responsiveness in novel and unexpected disruptions. Originality/value This is the first study to examine the impact of data analytics on improvisation and anticipation and the latter as complementary capabilities to enhance supply chain resilience and responsiveness. The empirical investigation explores the interplay among data analytics, improvisation, and anticipation capabilities for enhancing supply chain resilience, responsiveness, and performance during the unforeseen and novel disruptions, such as brought to bear by the COVID-19 pandemic.
Emerald - Tập 42 Số 10 - Trang 1576-1604 - 2022
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