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Healthcare professionals work in high stress environments and may benefit from organizational efforts that enhance coping abilities. Community-based psychological first aid (CBPFA) is an evidence-informed program designed for building these skills and promoting resilience during stressful times. However, few studies have examined the effectiveness of CBPFA. The paper aims to discuss these issues.

This study examined the effectiveness of CBPFA training in promoting occupational self-efficacy and intentions to use CBPFA among oncology care staff over time using a longitudinal design.

Participants reported increased occupational self-efficacy and intentions to use CBPFA skills after completing training. These factors remained stable at one-month follow-up.

The implications of these results are limited by the lack of a control group in the study’s design, relatively homogenous sample and participant dropout.

Despite the study’s limitations, these results represent an initial step in empirically examining the impact of CBPFA trainings and providing evidence that CBPFA may be an effective preparedness and development program in high-stress healthcare settings.

A finite element method for the analysis of combined radiative and conductive heat transport in a finite axisymmetric configuration is presented. The appropriate integro‐differential governing equations for a grey and non‐scattering medium with grey and diffuse walls are developed and solved for several model problems. We consider axisymmetric, cylindrical geometries with top and bottom boundaries of arbitrary convex shape. The method is accurate for media of any optical thickness and is capable of handling a wide array of axisymmetric geometries and boundary conditions. Several techniques are presented to reduce computational overhead, such as employing a Swartz‐Wendroff approximation and cut‐off criteria for evaluating radiation integrals. The method is successfully tested against several cases from the literature and is applied to some additional example problems to demonstrate its versatility. Solution of a free‐boundary, combined‐mode heat transfer problem representing the solidification of a semitransparent material, the Bridgman growth of an yttrium aluminium garnet (YAG) crystal, demonstrates the utility of this method for analysis of a complex materials processing system. The method is suitable for application to other research areas, such as the study of glass processing and the design of combustion furnace systems.

The purpose of this paper is to critically examine the concept of multi-stakeholder partnerships in relation to the United Nations' sustainable development goals and propose a renewed multi-stakeholder partnerships framework that enables the implementation of the sustainable development goals.

This paper employs an integrative review methodology to assess, critique and synthesize the extant literature on the multi-stakeholder partnerships and sustainable development goals.

We propose a conceptual framework of multi-stakeholder partnerships to support the sustainable development goals implementation. Thus, this paper contributes to the conceptual understanding of the multi-stakeholder partnerships mechanism that enhances the sustainable development goals implementation.

We propose a conceptual framework of multi-stakeholder partnerships to support the sustainable development goals implementation. Thus, this paper contributes to the conceptual understanding of the multi-stakeholder partnerships mechanism that enhances the sustainable development goals implementation.

We contend that this is one of the few early papers that contributes to the conceptual development of a collaborative multi-stakeholder partnerships paradigm by which such partnerships are formed and institutionalized among multiple interacting sectors to achieve the sustainable development goals.

The brief announcement that the Government had accepted that there should be regulations on open date marking of food, to come into effect in 1975, will come as no surprise. It is a timely reminder of what public pressure can achieve these days; how sustained advocacy and publicity by interested sectors of society—magistrates, local authorities, public health workers, consumer groups—can secure legislative changes which, in this case, run counter to trade opinions and the recommendation originally made by the Food Standards Committee that such a proposal was not practical and the existing law was an adequate protection. This was stated in the FSC Report on Food Labelling of 1964, although there was no indication of the evidence reviewed or that the subject had been considered very deeply; it was, after all, only a small fraction of the problem of food labelling control. It was also stated in this Report that in certain cases, date‐stamping of food could give to purchasers a false sense of security, “not justified by the conditions under which the food has been kept since manufacture”.

Contemporary supply chain relationships inherently rely on delegation of work between organizations and, thus, are subject to agency problems for which a wide range of governance mechanisms exist. This review of agency theory (AT), across four distinct fields, explains the connection between governance mechanisms and supply chain relationship types.

The study uses a systematic literature review (SLR) of articles using AT in a supply chain context from the operations and supply chain management, general management, marketing, and economics fields.

The authors categorize the governance mechanisms identified to create a typology of agency relationships in supply chains.

The developed typology provides parsimonious theory on different forms of supply chain agency relationships and takes a step towards a “supply chain-oriented agency theory” explaining and predicting relationship types and governance in supply chains. Furthermore, a future research agenda calls for more accurate measuring of agency costs, to examine residual gains alongside residual losses, to take a dual-sided perspective of agency relations and to adopt AT to examine more complex supply networks.

The review provides a menu of governance mechanisms and describes situations under which these mechanisms could be deployed to guide managers when developing their supply chain relationships.

The first review to combine and elaborate views from four major disciplines using AT as a lens to supply chain relationships. Expanding the traditional set of governance mechanisms provides academics and practitioners with a bigger “menu” of options to consider.

The aim of this paper is to analyze and classify research that has been conducted on manufacturing reshoring, i.e. the decision to bring back to the home country production activities earlier offshored, independently of the governance mode (insourcing vs outsourcing). Consequently, the paper also aims at providing avenues for future research and to highlight the distinct value of studying manufacturing reshoring either per se or in combination with other constructs of the international business tradition.

A set of 57 carefully selected articles on manufacturing reshoring published in international journals or books indexed on Scopus in the past 10 years was systematically analyzed based on the “5Ws and 1H” (who-what-where-when-why and how) set of questions.

The authors’ work shows a certain convergence among authors regarding what reshoring is and what its key features and motivations are. In contrast, other related aspects, such as the decision-making and implementation processes, are comparatively less understood.

As manufacturing reshoring is a “recent” topic, for some of its aspects, only exploratory research is available to date, limiting the authors’ possibility to either characterize it in a more exhaustive way or highlight well-established patterns.

The paper demonstrates that studying reshoring will indeed contribute to expanding our understanding of internationalization processes and strategies in general and of production internationalization specifically. While past studies have argued that the learning derived from international experience would permit firms to overcome their unfamiliarity with new business environments, reshoring might show that this outcome is not necessarily certain. Rather, firms might not be able to overcome obstacles because of internationalization or they might realize that attempting to do so is not desirable, e.g. because of excessive risk or changes in the firm’s strategic priorities.

From a societal point of view, the present research underlines that reshoring can be part of that re-industrialization policy that many Western countries include in their economic agenda – yet, its impact on employment should not be overestimated, as often relocation is only in regard to some product lines. At the same time, there might be an intimate relationship between reshoring and the various forms of technological innovations applied to manufacturing – which has become popularly labeled as “Industry 4.0”.

Literature reviews proposed until now usually paid almost exclusive attention to motivations driving this phenomenon. This paper offers a broader and more comprehensive examination of the extant knowledge of manufacturing reshoring and identifies the main unresolved issues and knowledge gaps, which future research should investigate.

This research paper aims to investigate the effects of internal audit’s (IA) use of data analytics and the performance of consulting activities on perceived IA quality.

The authors conduct a 2 × 2 between-subjects experiment among upper and middle managers where the use of data analytics and the performance of consulting activities by internal auditors are manipulated.

Results highlight the importance of internal auditor use of data analytics and performance of consulting activities to improve perceived IA quality. First, managers perceive internal auditors as more competent when the auditors use data analytics. Second, managers perceive internal auditors’ recommendations as more relevant when the auditors perform consulting activities. Finally, managers perceive an improvement in the quality of relationships with internal auditors when auditors perform consulting activities, which is strengthened when internal auditors combine the use of data analytics and the performance of consulting activities.

From a theoretical perspective, this research builds on the IA quality framework by considering digitalization as a contextual factor. This research focused on the perceptions of one major stakeholder of the IA function: senior management. Future research should investigate the perceptions of other stakeholders and other contextual factors.

This research suggests that internal auditors should prioritize the development of the consulting role in their function and develop their digital expertise, especially expertise in data analytics, to improve perceived IA quality.

This research tests the impacts of the use of data analytics and the performance of consulting activities on perceived IA quality holistically, by testing Trotman and Duncan’s (2018) framework using an experiment.

Modern supply chains have become increasingly vulnerable to disruptions, as evidenced by the recent COVID-19 crisis, the Suez Canal blockage and the war in Ukraine. The purpose of the study was to examine the impact of disruptions on organizations and their supply chains, and to examine which resilience principles and corresponding strategies were effective at maintaining and/or creating competitive advantage.

Anchored in contingent resource-based view theory and organizational information processing theory, the study uses an explanatory mixed-methods explanatory research design consisting of two surveys followed by semi-structured interviews to elaborate on the quantitative results.

The quantitative findings showed that data analytic capability combined with a data driven culture had a positive impact on competitive advantage through improved supply chain robustness. No similar effect for supply chain resilience on competitive advantage was found. This was explained by the qualitative findings which showed that insights enabled data analytic capability led to increased supply chain robustness by encouraging proactive measures such as safety stock and redundancies in the supply chain. However, supply chain resilience required these measures to be in place. Without them, supply chain managers were unable to act upon the insights enabled by visibility.

The empirical findings show that data analytic capability impacts supply chain robustness and resilience in different ways, especially in the context of unprecedented disruptions.

Recent developments in image recognition and “Big Data” offer a method for monitoring the physical accessibility of community environments over time. The stimulus characteristics of images showing access features in context are extremely complex, however, and defining access features that are recognizable by humans or machines is a challenging task. Carefully defining access features provides a basis for teaching both humans and machines to recognize those features and to rate the degree of accessibility.

We employed a stage-process to identify access features detectable in images presented by GSV. We created definitions of features, developed a protocol for conducting community observations, and used it to conduct assessments of access images of 14 towns and cities in 9 states and the District of Columbia.

Interobserver agreement averaged 84% on features and 93% on people observed. A combined access score across communities averaged 60%; ranging from 32% to 100%. A scaled “minimum access” score averaged .92; ranging from .59 to 1.0. We observed 158 people, 3 of whom used a mobility device and 13 of whom used other wheeled devices.

Equating these ratings to academic grades suggests that several communities fail to achieve standards of accessibility but do achieve minimal levels of access in their civic cores. Google Street View offers a data source for human observers to assess the accessibility of communities. Researchers should explore the feasibility of using supervised and unsupervised learning to establish machine recognition of access features.