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The purpose of this paper is to present a system dynamics (SD) model that allows one to simulate resource deployment to fulfill increasing needs for commodities such as food and other consumables during disaster situations. The focus is on managing a suddenly increased demand (hoarding behavior) of an affected population under restricted transport conditions. The model aims to support decision makers by fostering comprehension of the systemic behavior and interdependencies of those complex settings.

Through literature review and case study analyses the SD model was established and implemented with STELLA 10.1.1.

The needs of relief units for response operations and supply of evacuees in the affected region result in conflicting needs under limited transport conditions during disaster situations. Therefore, uncertainties and dynamic parameters as, e.g., occurring delays, limited information, or delivery constraints and their influence on resource deployment under a sudden demand, have been identified and incorporated in this work. The authors found that an oscillating behavior within the system is possible to occur and is more intensified in case of regarding the additional needs of evacuees and relief units.

Due to the high level of abstraction, it is not possible to incorporate all influencing variables in the SD model. Therefore, the authors focused on the most important ones with regard to the model objective.

To focus on awareness raising is of importance for decision makers in the context of disaster management. Furthermore, the authors found that the oscillating behavior is more irregular in case of assuming a higher increase rate of the water gauge than if a low increase rate is assumed.

To the best of the authors’ knowledge, none of the work already done refers to providing a flood-prone area with commodities under consideration of a sudden demand, by applying the SD approach. The presented model contributes on the generation of systemic insights of resource deployment under consideration of conflicting needs in times of a river flood to support decision makers in those situations.

The purpose of this paper is to present a training model for decision makers that covers the complexity which is inherent in decision-making processes in times of floods.

Through literature review, case study analysis and iterative interviews with decision-makers, the model was established. It enables one to simulate different scenarios depending on selected influencing factors and was implemented with Stella 9.1.

Flood events are highly complex and their development process is significantly influenced by various conditions. The findings show that the most important factor is the water level which determines the time available to respond. The presented System Dynamics (SD) model has the capability to capture such complex settings. Through what-if analysis and the comparison of different scenarios, learning effects are achieved by using the model.

The level of abstraction is high. Not all influencing variables can be incorporated due to the variety of flood events. Based on experts’ recommendations, the most relevant factors were included as areas of focus in the model.

The generated model is presented to facilitate holistic comprehension of the modelling process. It offers the possibility to start learning processes through scenario analyses in order to strengthen decision-makers’ understanding of complexity.

To the best of our knowledge, there are no comparable studies that focus on the generation process of building an SD-model for educational purposes in flood response.

The number of care‐dependent people will rise in future. Therefore, it is important to support home health care (HHC) providers with suitable methods and information, especially in times of disasters. The purpose of this paper is to reveal potential threats that influence HHC and propose an option to incorporate these threats into the planning and scheduling of HHC services.

This paper reveals the different conditions and potential threats for HHC in rural and urban areas. Additionally, the authors made a disaster vulnerability analysis, based on literature research and the experience of the Austrian Red Cross (ARC), one of the leading HHC providers in Austria. An optimization approach is applied for rural HHC that also improves the satisfaction levels of clients and nurses. A numerical study with real life data shows the impacts of different flood scenarios.

It can be concluded that HHC service providers will be faced with two challenges in the future: an increased organizational effort and the need for an anticipatory risk management. Hence, the development and use of powerful decision support systems are necessary.

For an application in urban regions new methods have to be developed due to the use of different modes of transport by the nurses. Additionally, an extension of the planning horizon and triage rules will be part of future research.

The presented information on developments and potential threats for HHC are very useful for service providers. The introduced software prototype has proven to be a good choice to optimize and secure HHC; it is going to be tested in the daily business of the ARC.

Even in the case of disasters, HHC services must be sustained to avoid health implications. This paper makes a contribution to securing HHC, also with respect to future demographic trends.

To the best of the authors’ knowledge there are no comprehensive studies that focus on disaster management in the field of HHC. Additionally, the combination with optimization techniques provides useful insights for decision makers in that area.

This systematic review aimed to identify and categorize applications using Fast Healthcare Interoperability Resources (FHIR) to support activities outside of direct healthcare provision.

A systematic electronic search was performed, and 53 studies were included after the selection process.

The results show that FHIR is being used to support (1) clinical research (i.e. clinical research based on interventional trials, data interoperability to support clinical research and advanced communication services to support clinical research), (2) public health and (3) medical education. Despite the FHIR potential to support activities outside of direct healthcare provision, some barriers were identified, namely difficulties translating the proposed applications to clinical environments or FHIR technical issues that require further developments.

This study provided a broad review of how FHIR is being applied in clinical activities outside of direct clinical care and identified three major domains, that is, clinical research, public health and medical education, being the first and most representative in terms of number of publications.

This research conducts bibliometric analyses and network mapping on smart libraries worldwide. It examines publication profiles, identifies the most cited publications and preferred sources and considers the cooperation of the authors, organizations and countries worldwide. The research also highlights keyword trends and clusters and finds new developments and emerging trends from the co-cited references network.

A total of 264 records with 1,200 citations were extracted from the Web of Science database from 2003 to 2021. The trends in the smart library were analyzed and visualized using BibExcel, VOSviewer, Biblioshiny and CiteSpace.

The People’s Republic of China had the most publications (119), the most citations (374), the highest H-index (12) and the highest total link strength (TLS = 25). Wuhan University had the highest H-index (6). Chiu, Dickson K. W. (H-index = 4, TLS = 22) and Lo, Patrick (H-index = 4, TLS = 21) from the University of Hong Kong had the highest H-indices and were the most cooperative authors. Library Hi Tech was the most preferred journal. “Mobile library” was the most frequently used keyword. “Mobile context” was the largest cluster on the research front.

This study helps librarians, scientists and funders understand smart library trends.

There are several studies and solid background research on smart libraries. However, to the best of the author’s knowledge, this study is the first to conduct bibliometric analyses and network mapping on smart libraries around the globe.

In this chapter, the authors weave together a set of ideas that lead us closer to a more general institutional theory – one that embraces multiple levels of analysis, including the micro-level. The authors build on the roots of micro-institutional thought – including phenomenological and ethnomethodological underpinnings – as well as very active, social-psychological research areas that address key mechanisms in institutionalization. Among these, the authors discuss the important roles of legitimacy, trust, social influence, and routines. There is great promise for micro-institutional inquiry to make an integral contribution to institutional theory by bringing processes and people back in.

This study aims to examine recent developments in climate change solutions to determine their impact on corporate reputation.

This paper is a review of recent literature and commentary on corporate and governmental climate change initiatives.

It is likely that as climate change initiatives move further from voluntary to compliance status, the reputational value of environmental responsibility for corporate reputation will diminish.

There are no verifiable objective metrics to validate the opinions expressed.

Companies may reconsider the reputational “real estate” they devote to environmental issues and invest more effort in other social areas.

The shift predicted may cause more companies to turn their reputational attention more emphatically to employees and communities.

The author is not aware of any work in evaluating the reputational impact of greater regulatory focus on climate change disclosure and compliance.

The field of nonmarket strategy has expanded rapidly over the past 20 years to provide theoretical and practical guidance for managers seeking to influence policymaking. Much of this scholarship has built directly on spatial and “pivotal politics” models of lawmaking. While extremely helpful at identifying crucial targets for lobbying, these models treat all policymakers as identical in their abilities to advance legislative agenda items through various policymaking hurdles. We build upon these earlier models, but include policymakers who vary in their relative effectiveness at advancing measures through the legislative process. We identify how the implications of our model deviate from those of conventional (pivotal politics) analyses. We then present an empirical strategy for identifying effective Lawmakers in the United States Congress, and illustrate the utility of this approach for managers developing nonmarket strategies in legislative institutions, relying on the case of banking and financial services reforms between 2008 and 2011.

While audiences play a key role in the implementation and ultimate success of novel ideas, how audiences are reflected in negotiations about quality within the creative process remains undertheorized. We examine this question through a comparative ethnography of two settings where digital technology use magnifies the countless micro-decisions involved in producing a creative output and considerations of audience evaluation throughout the creative process – Nashville music production and systems biology cancer research. We find that actors encounter a fundamental tension between two competing standards of quality: the technically perfect, processed and ideal versus the empirically grounded, unprocessed and real. We show how actors navigate this tension vis-á-vis three different audiences – internal peers, extended community, and external reviewers – and how this manifests differently across audiences and the arts and sciences, depending on the audience’s expertise. Our study illuminates the tension between the “ideal versus real” in creative processes that is brought to the fore when creating with digital technology, extends extant research on audiences and organizing for creativity, and offers unique insights from our comparative ethnography across the arts and sciences.