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The purpose of this paper is to explain how adaptive capacity is accomplished through communication processes and can contribute to enhancing disaster resilience. The authors adopt a structurational “four flows” explanation of communication processes.

The authors observed and analyzed discourse in meetings of a crisis communication network consisting of representatives of municipalities and public authorities involved in crisis communication management during the Västmanland wildfire in Sweden.

Adaptive capacity during the wildfire was principally accomplished through the structurational communication processes or “flows” of self-structuring, activity coordination, and institutional positioning. These flows intersected demonstrating how communication accomplishes the development of a responsive affiliation, organizes stabilizing structuring practices, and enables adaptive structuring practices.

The main contribution of this study is a communicative explanation for adaptive capacity, which draws from a structurational model of constitutive communication, and lends further understanding to improvisation during disasters.

The authors discuss the findings in relation to improvisation, suggesting how the findings can inform future coordinated crisis communication for the public and news media. The recommendations address how practitioners might build a responsive affiliation, use minimal structures (e.g. communication practices), and maintain flexibility by introducing group reflexivity behaviors.

The authors provide new theoretical and empirical knowledge of the communicative constitution of adaptive capacity during a disaster.

Social networks offer consumers the ability to voice their opinions of brands in a real-time, public setting. This represents a unique challenge for firms as brand managers must develop new strategies for properly communicating with consumers, especially in the event of a service failure. The purpose of this research is to explore the impact of various adaptive service recovery strategies via social media, specifically Twitter.

Through a series of experimental manipulations, four service recovery strategies are tested alongside two variations of consumer complaint tweets. The service recovery responses vary in their degree of adaptiveness, which have differential impacts on numerous consumer outcome variables.

The findings indicate that highly adaptive recoveries responses positively impact consumers’ evaluations of service recovery satisfaction, leading to greater consumer behavioral intentions. Additionally, the type of tweet the consumer sends may further reveal their expectations for adequate service recovery responses.

This study is the first to empirically test the use of social media platforms in the service failure and recovery context. Although social media is commonly used for such purposes by practitioners, academic research up to this point has predominately focused on social media for generating word-of-mouth. Further, this study seeks to examine how service adaptability is perceived from the customer perspective, as opposed to the more traditional employee viewpoint.

This paper aims to present an adaptive approach of the generalized finite element method (GFEM) for transient dynamic analysis of bars and trusses. The adaptive GFEM, previously proposed for free vibration analysis, is used with the modal superposition method to obtain precise time-history responses.

The adaptive GFEM is applied to the transient analysis of bars and trusses. To increase the precision of the results and computational efficiency, the modal matrix is responsible for the decoupling of the dynamic equilibrium equations in the modal superposition method, which is used with only the presence of the problem’s most preponderant modes of vibration. These modes of vibration are identified by a proposed coefficient capable of indicating the influence of each mode on the transient response.

The proposed approach leads to more accurate results of displacement, velocity and acceleration when compared to the traditional finite element method.

In this paper, the application of the adaptive GFEM to the transient analysis of bars and trusses is presented for the first time. A methodology of identification of the preponderant modes to be retained in the modal matrix is proposed to improve the quality of the solution. The examples showed that the method has a strong potential to solve dynamic analysis problems, as the approach had already proved to be efficient in the modal analysis of different framed structures. A simple way to perform h-refinement of truss elements to obtain reference solutions for dynamic problems is also proposed.

While uncertainty during emergency response operations necessitates adaptive performance, emergency response organizations, such as the fire service, tend to constrain adaptive behaviors due to their highly formalized bureaucratic structures. Structural theories suggest that leaders can empower employees to bypass these constraints.

Using survey data from four US fire departments, this research tests whether mid-level supervisors can empower firefighters by increasing their ability to improvise during complex emergency response operations, and whether this enhances department adaptive performance. Moderated mediation is also performed to assess whether senior leaders must also be effective, empowering leaders in order to achieve heightened levels of empowerment and subsequent adaptive performance, as many senior leaders in the fire service are criticized for being overly bureaucratic, risk averse, and resistant to change.

The findings support compensatory effects and show how immediate supervisors are key to overcoming senior leader deficiencies and producing adaptive performance during conditions of high uncertainty and complexity.

The lack of response organizations’ success during complex incidents is often attributed to senior leaders who are risk averse, overly bureaucratic, and resistant to change (Wankhade and Patnaik, 2020). This study is the first to show how empowering leadership can help overcome these constraints to enhance adaptive performance under complex conditions in the fire service.

The purpose of this paper is to deepen the understanding of adaptive governance, which is advocated for as a manner to deal with dramatic changes in society and/or environment. To re-think the possible contributions of organizations and organization theory, to adaptive governance.

Based on social systems theory this study makes a distinction between “governance organizations” and “governance communities.” Organizations are conceptualized as the decision machines which organize and (co-)steer governance. Communities are seen as the social environments against which the governance system orients its operations. This study considers the adaptive mechanisms of organizations and reflect on the roles of organizations to enhance adaptive governance in communities and societies.

Diverse types of organizations can link or couple in different ways to communities in their social environment. Such links can enhance the coordinative capacity of the governance system and can also spur innovation to enable adaptation. Yet, linking with communities can also slow down responses to change and complexify the processes of deliberation in governance. Not all adaptive mechanisms available to organizations can be used in communicating with communities or can be institutionalized, but the continuous innovation in the field of organizations can inspire continuous testing of small-scale adaptive mechanisms at higher levels. Society can thus enhance its adaptive capacity by managing the role of organizations.

The harnessing of insights in organization theory and systems theory for improving understanding of adaptive governance. The finding that both experiment and coordination at societal level are needed, toward adaptive governance, and that organizations can contribute to both.

The author introduces a strategic responsiveness model that reflects an organization’s ability to sense environmental changes and learn from emergent adaptive responses that attempt to realign organizational activities and gain a better fit with the changing conditions. The author shows in computational simulations how superior strategic adaptation is associated with higher average returns and lower performance risk among firms that compete in the same industry contexts and generate negatively skewed outcome distributions consistent with empirical observations. The model is refined to incorporate an interactive strategy-making process, where experiential insights from decentralized initiatives update forward-looking projections in central planning. The ensuing analysis demonstrates how this adaptive strategy-making approach further enhances the favorable risk-return outcomes. The author discusses these findings and the implications for the study of dynamic adaptive strategy-making processes.

This paper aims to propose an improved and computationally efficient motion simulation of a flexible variable sweep aircraft.

The motion simulation is performed on hardware-in-the-loop simulation setup using 6 degree-of-freedom motion platform. The dynamic model of a flexible variable sweep aircraft, Rockwell B-1 Lancer is presented using equations of motions for combined rigid and flexible motions. The peak filter is introduced as a new method to separate flexible motion from aircraft motion data. Standard adaptive washout filter is modified and redesigned for an accurate flexible aircraft flight simulation. The flight data are generated using FlightGear software. Another motion profile with significant oscillations is also tested. The peak filter and the modified adaptive washout filter both are used to process the data according to the motion envelop of motion platform.

The performance of the modified adaptive washout filter is evaluated using hardware-in-the-loop simulation setup and results are compared with the standard adaptive washout filter. Results exhibit that the proposed method is computationally cost-effective and improves the motion simulation of flexible aircraft with close to realistic motion cues.

The proposed work presents motion simulation of a flexible aircraft by introducing a peak filter to extract flexible motion in contrast to the traditional motion separation methods. Also, a modified adaptive washout filter is designed and implemented in place of the traditional washout filters for improved flexible aircraft flight motion simulation.

Interest in psychological resilience has grown rapidly in the last couple of decades (Britt, Sinclair, & McFadden, 2016; King & Rothstein, 2010; Youssef & Luthans, 2007). Psychological resilience occurs when a person can “recover, re-bound, bounce-back, adjust or even thrive” in the face of adversity (Garcia-Dia, DiNapoli, Garcia-Ona, Jakubowski, & O’flaherty, 2013, p. 264). As such, resilience can be conceptualized as a state-like and malleable construct that can be enhanced in response to stressful events (Kossek & Perrigino, 2016). It incorporates a dynamic process by which individuals use protective factors (internal and external) to positively adapt to stress over time (Luthar, Cicchetti, & Becker, 2000; Rutter, 1987). Building on the dual-pathway model of resilience, we integrate adaptive and proactive coping to the resilience development process and add a heretofore unexamined perspective to the ways in which resilience changes over time. We propose that resilience development trajectories differ depending on the type of adversity or stress experienced in combination with the use of adaptive and proactive coping. We outline the need for future longitudinal studies to examine these relationships and the implications for developing resilience interventions in the workplace.

The purpose of this paper is to reduce the overall computational time of aerodynamic shape optimization that involves accurate high-fidelity simulation models.

The proposed approach is based on the surrogate-based optimization paradigm. In particular, multi-fidelity surrogate models are used in the optimization process in place of the computationally expensive high-fidelity model. The multi-fidelity surrogate is constructed using physics-based low-fidelity models and a proper correction. This work introduces a novel correction methodology – referred to as the adaptive response prediction (ARP). The ARP technique corrects the low-fidelity model response, represented by the airfoil pressure distribution, through suitable horizontal and vertical adjustments.

Numerical investigations show the feasibility of solving real-world problems involving optimization of transonic airfoil shapes and accurate computational fluid dynamics simulation models of such surfaces. The results show that the proposed approach outperforms traditional surrogate-based approaches.

The proposed aerodynamic design optimization algorithm is novel and holistic. In particular, the ARP correction technique is original. The algorithm is useful for fast design of aerodynamic surfaces using high-fidelity simulation data in moderately sized search spaces, which is challenging using conventional methods because of excessive computational costs.

Medical tourism has grown to become a formidable multinational industry to generate revenue. This phenomenon has also increased impact on the healthcare sector as well as strategies development opportunities. The present study emphases on the international tourists' behavioural intention for medical tourism in Malaysia. A research framework is derived from the exceptional component of fear appeal in protection motivation theory (PMT).

Data were collected with a sample of 501 respondents and analysed via structural equation modelling approach. Both measurement model and structural model were assessed to generate the result.

The outcomes have shown a good backing on the use of adapted PMT theoretical model. There is a higher predictive power on health coping than health threats. Coping alternatives can be served as the linkage between the PMT appraisals and behavioural intention.

The study confirmed the effectiveness of using a theoretical framework in predicting international tourists' behavioural intention for medical tourism. It is suggesting that risk adaptive behaviour does offer a valuable proposition in contributing to the reception of medical tourism.

The present study argues the need for greater clarity in understanding the emergent implications for health policy and healthcare delivery for future medical tourism development.

The fundamental theories and current literature do not incorporate the component of fear appeal in explaining decision making. The study findings demonstrate that protection motivation theory has provide another promising theoretical model in explaining international tourists' behaviour intention for medical tourism.