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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.

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.

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.

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.

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.

A commonly suggested measure to make logistics greener is a shift to intermodal road‐rail transportation. Most research addresses the issue from the carrier's perspective, arguing for ways to improve the service production to better fit the shippers' demand. In this article the issue is addressed from the shipper's perspective. The purpose is to understand what contextual factors and operations changes that are possible and/or necessary for the shipper to make a fit to the current production system.

Six case companies selling non‐bulk, fast moving goods are examined. These firms have gone against the mainstream and shifted modes of transport. They are investigated through a multiple case‐study design.

The findings indicate that contextual factors stressed in the carrier‐focused literature, or rule of thumb decisions made by shipping logistics management, do not always clearly predict the success of a modal shift. However, some common denominators emerge among successful cases: large transport purchasing resources, high general carrier performance, low demand volatility, and centralized system control. The study also poses some propositions regarding the success of a modal shift.

The research is qualitative in nature and thus limited to the companies and their respective logistics systems. However, the models could be further evaluated empirically through quantitative and qualitative methods alike.

The paper poses a number of propositions of what constitutes a successful modal shift from a shipper's perspective, based on the identified factors and operational changes.

Previous research on the shift to intermodal road‐rail solutions are predominantly made from a carrier's perspective. This research addresses the issue from the shipper's perspective.

A configurable reference model can be used to assist in the development and management of business processes in complex, multi-stakeholder environments. The purpose of this paper is to demonstrate a process design in such environments via configurable process reference modelling, using airports as an example.

Existing reference modelling methods around process modelling, merging and configuration are extended to include contextual and spatial factors using the design science methodology. The approach is empirically based on a set of business process management notation (BPMN) models for international passenger departures, consolidated from five Australian airport case studies via document analysis, interviews and observation.

The use of contextual factors and operational scenarios, structured using the proposed approach, facilitated efficient cross-organisational comparison for configuring processes to suit the needs of a target organisation. The resulting configurable model integrates the perspectives of organisational stakeholder groups with that of the customer in a transparent and unambiguous graphical representation. It is a reusable tool with low data collection needs for each use.

Future research should include: version management; how to keep the model current; configurability via modelling objects other than gateways; and cross-discipline application (e.g. as a foundation for quantitative decision-making models).

This is the first reported application of configurable reference modelling to airport passenger facilitation. Methodological contributions include the addition of space-sensitive process elements and notation to BPMN; guidelines for systematically deriving contextual factors associated with process variants across similar organisations; and overall normative guidelines for inductively developing a configurable process reference model.

This research aims to investigate how organisational and contextual factors affect supply chain collaboration and how that, in turn, influences firms' competitive advantage in the garment industry in the context of Vietnam, a developing country.

Following a qualitative research design, in-depth interviews were conducted with senior managers who are involved in supply chain collaboration in twelve garment companies in Vietnam. The data were recorded, transcribed and analysed using NVivo 12. Based on the literature and interview findings, a research model underpinned by the relational view (RV) and institutional theories, with organisational and contextual factors being the antecedents and competitive advantage as the outcome of supply chain collaboration, was proposed.

The findings showed that organisational and contextual factors induce both internal, supplier and customer supply chain collaboration. There is also a positive relationship between supply chain collaboration and competitive advantage. Based on these findings, a strategy matrix for supply chain collaboration is also put forward.

This is one of the first empirical attempts to investigate the role of organisational and contextual factors as potential antecedents of supply chain collaboration and its effects on competitive advantage in the garment industry. The research is expected to enrich both the literature and management practices on supply chain collaboration in the context of developing countries.

This paper presents a contingency analysis of additive manufacturing's (AM) impacts, proposes a novel form of AM-enabled competitive capabilities and explores manufacturing contexts (including product-operation-organization-related factors) influencing those capabilities.

A theoretical model incorporating manufacturing competitive capabilities and contingency concepts is developed and validated using an empirical study on 105 manufacturing firms using AM. Structural equation modeling is applied for statistical data analysis.

The results indicate that the production volume and material type have contingency effects on AM-enabled product quality, cost reduction and green capabilities. Besides, it has been demonstrated that the degree of a country's economic development and the firm's experience have contingency impacts on AM's capabilities as well.

The contextual settings employed in this study are limited. A future contingency analysis requires further exploration of other factors (e.g. different AM technologies or application sectors) through in-depth case studies. Future studies can also be built upon the proposed framework to generalize the model for analyzing other emerging manufacturing technologies.

Uncertainties around AM implementation and its consequences place the context of evaluation as an essential facet. The derived insights aid practitioners in aligning the firm's internal characteristics (i.e. manufacturing and organizational contexts) with AM's promising competitive capabilities.

The study is among the first analysis to empirically and rigorously establishes the contingency effects of manufacturing and organizational factors on competitive capabilities related to AM, using a representative sample of manufacturers spanning different countries, firm sizes and other investigated manufacturing contexts.

The purpose of this paper is to develop a framework for the safety performance measurement of belt conveyor systems.

A structural methodology of graph theory and matrix approach is used for developing a framework for safety performance measurement of belt conveyor systems.

The development of a framework for safety performance measurement of belt conveyor systems is essential for ensuring plant safety. For this, safety performance factors, including design and operating contextual factors of belt conveyor systems, are identified. The factors along with their interrelations are modeled using digraph. An equivalent matrix of the digraph provided safety performance function (SPF) of belt conveyor systems, leading to the development of a safety performance index (SPI).

The developed framework will enable the designers for evaluating and comparing alternative designs of conveyor systems from the safety viewpoint. The plant operators can make inferences from the SPI to identify the weak contextual factors in the plant and develop action plans for its mitigation.

The paper is novel and employs graph theory and matrix approach for safety performance measurement. The methodology helps in the quantitative evaluation of the safety performance of belt conveyor systems.

Increasing empirical evidence suggests organizational actions are not always driven by economic efficiency considerations, contrary to the rational decision making viewpoint dominant in the field. Institutional theory, examining the causes of isomorphism within organizations, provides an alternative viewpoint to the adoption of strategies and practices in managing operations and supply chains. Applications have so far been limited to few topics, such as quality management and adoption of electronic tools. This study aims to contribute to an increased understanding of the theory's explanatory value in the field by presenting central research avenues yet unexplored.

The paper begins with a review of the past institutional theory studies in the field. Important new contexts and research directions are then identified with the aim to increase understanding of how institutional factors operate in the field. Finally, a critical evaluation of empirical data collection and construct formation in the past and future studies is provided.

The paper identifies three major institutional theory related research avenues in the field with a potential for theoretical and practical contributions. Two of these – role of uncertainty and relationships between institutional pressures – serve to contribute to how the theory applies to different operational contexts. The third one recommends a reflection on the role of academia as a source and target of institutional pressures.

The discussion, debate and analysis offered is intended to stimulate and drive further institutional theory studies in the field with an increasing scope as well as more refined measurement in empirical work.

The digital warehouse management system is an emergence that forms a critical part of the transformation of economic structure in Industry 4.0. In the present business scenario, the warehouse management system encounters a messy layout, poor damage control, unsatisfactory order management, lack of visibility and lack of technological interventions. Digital twin (DT) based warehouse system shows the ontology and knowledge graphs for competitive advantage by consolidating and transferring goods directly from an inbound supplier to an outbound customer on short notice and with no or limited storage. There remains a lack of clarity on how the DT can be implemented successfully in warehouse management.

The current literature remains largely unstructured and scattered due to a lack of a systematic approach to integrating the research implications and analysis. This paper probes the conceptualization of the DT with the help of theoretical analysis using the systematic literature analysis method.

The study explores essential concepts such as interoperability and integrability in implementing DT. Further, it analyzes the role of a supply chain control tower (SCCT) in modern supply chain management. A research framework is proposed for practitioners and academicians by incorporating the opportunities and challenges associated with DT implementation. The research findings are mainly threefold: Conceptualization of DT, Featuring SCCT and Exploration of cross-computer platform interfaces, scalability and maintenance strategies.

This study is among the first to analyze and review DT applications in warehouse management. Moreover, the study proposes a theoretical toolbox for the practitioners to successfully implement the DT in warehouse DT-based warehouse management system: A theoretical toolbox for future research and applications.

The British Columbia Ministry of Health’s Clinical Care Management initiative was used as a case study to better understand large-scale change (LSC) within BC’s health system. Using a complex system framework, the purpose of this paper is to examine mechanisms that enable and constrain the implementation of clinical guidelines across various clinical settings.

Researchers applied a general model of complex adaptive systems plus two specific conceptual frameworks (realist evaluation and system dynamics mapping) to define and study enablers and constraints. Focus group sessions and interviews with clinicians, executives, managers and board members were validated through an online survey.

The functional themes for managing large-scale clinical change included: creating a context to prepare clinicians for health system transformation initiatives; promoting shared clinical leadership; strengthening knowledge management, strategic communications and opportunities for networking; and clearing pathways through the complexity of a multilevel, dynamic system.

The action research methodology was designed to guide continuing improvement of implementation. A sample of initiatives was selected; it was not intended to compare and contrast facilitators and barriers across all initiatives and regions. Similarly, evaluating the results or process of guideline implementation was outside the scope; the methods were designed to enable conversations at multiple levels – policy, management and practice – about how to improve implementation. The study is best seen as a case study of LSC, offering a possible model for replication by others and a tool to shape further dialogue.

Recommended action-oriented strategies included engaging local champions; supporting local adaptation for implementation of clinical guidelines; strengthening local teams to guide implementation; reducing change fatigue; ensuring adequate resources; providing consistent communication especially for front-line care providers; and supporting local teams to demonstrate the clinical value of the guidelines to their colleagues.

Bringing a complex systems perspective to clinical guideline implementation resulted in a clear understanding of the challenges involved in LSC.

To provide a selective bibliography on reported empirical evidence regarding the compatibility/trade‐offs relationships between delivery reliability and other manufacturing capabilities, and also identify specific areas for future research.

The paper conceptually examines published studies which have reported a trade‐off/compatibility situation between delivery reliability and other manufacturing capabilities such as internal quality, external quality, manufacturing costs, inventory costs, etc. Some different aspects of delivery reliability are also discussed.

Principally, the paper identifies a need to study in more detail the different variables (manufacturing capabilities, contextual variables and manufacturing practices) that could be potentially associated with the achievement of high manufacturing efficiency (high levels of outputs/low levels of inputs) in terms of delivery reliability, materials inventory and safety resources.

The literature review in the paper is intended to be exhaustive. Nevertheless, it is probable that scientific papers that report related/relevant material are involuntarily omitted.

By means of a detailed review of the literature, the paper identifies specific themes for future research. The paper also should be of help to practitioners as it gathers the empirical evidence regarding the compatibility/trade‐off situation between delivery reliability and other areas of manufacturing.

Some papers have dealt with literature reviews on manufacturing strategy as a whole. Nevertheless, to the best of our knowledge, this is the first paper that offers a literature review on delivery reliability. This paper also suggests a novel model of manufacturing efficiency and also proposes a methodology (data envelopment analysis) with which this approach can be examined in more detail.