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Throughout human history, the occurrence of disasters has been inevitable, leading to significant human, financial and emotional consequences. Therefore, it is crucial to establish a well-designed plan to efficiently manage such situations when disaster strikes. The purpose of this study is to develop a comprehensive program that encompasses multiple aspects of postdisaster relief.

A multiobjective model has been developed for postdisaster relief, with the aim of minimizing social dissatisfaction, economic costs and environmental damage. The model has been solved using exact methods for different scenarios. The objective is to achieve the most optimal outcomes in the context of postdisaster relief operations.

A real case study of an earthquake in Haiti has been conducted. The acquired results and subsequent management analysis have effectively assessed the logic of the model. As a result, the model’s performance has been validated and deemed reliable based on the findings and insights obtained.

Ultimately, the model provides the optimal quantities of each product to be shipped and determines the appropriate mode of transportation. Additionally, the application of the epsilon constraint method results in a set of Pareto optimal solutions. Through a comprehensive examination of the presented solutions, valuable insights and analyses can be obtained, contributing to a better understanding of the model’s effectiveness.

There has been a move towards the implementation of digital/e-health interventions for some time. Digital/e-health interventions have demonstrable efficacy in increasing individual empowerment, providing timely access to psychological interventions for those experiencing mental ill-health and improving outcomes for those using them. This study aims to determine the efficacy of digital/e-health interventions for individuals detained in prison who experience mental ill-health.

A systematic search of five academic databases – CINAHL, ASSIA, PsycINFO, Embase and Medline – was completed in December 2020 and updated in February 2022. The review was guided by the Whittemore and Knafl (2005) framework for integrative reviews. A total of 6,255 studies were returned and screened by title and abstract. A full-text screening of nine (n = 9) studies was conducted.

No study met the inclusion criteria for the clinical efficacy of digital/e-health interventions in a prison setting. Subsequently, a review of the literature that made it to the full-text review stage was conducted, and gaps in the literature were identified to inform policy, practice and future research.

To the best of the authors’ knowledge, this is the first integrative review conducted on the efficacy of digital/e-health interventions for mental ill-health in prison settings.

This paper display how “objectifying” forms of tourism can be converted into a more gender-equal regenerative tourism.

The methodology generates shared understandings about the opportunities and challenges of implementing regenerative tourism by stimulating gender equality. The research design is based on qualitative research methods. Using a transformative tourism development process of the Karenni village Huay Pu Keng in Thailand, which is the first and only village that made this transition, the results of a process to stimulate the empowerment of women have been described.

The desk research and conversations reported in the findings of this paper provide important insights in the social impacts in relation to gender equality and women empowerment. The community has become a role model for transformative tourism in relation to gender equality. Findings included that women are more involved in tourism activities, which has created a positive shift towards a gender balance. However, there is still a difference in education and participation between men and women. The study further reveals how tourism contributes to enliven the indigenous traditions and cultures and be a model for future developments in creating life-long meaningful experiences.

Insights of the first and only Karenni village that made a transition to community-based tourism demonstrate how the community has been empowered. It improved the gender balance to make strategic decisions towards transforming their futures. Exploring this process is therefore valuable, as it contains knowledge that can be advantageous for other communities and research.

Virtual collaboration in teams becomes increasingly popular at work. With the advantages of working in virtual teams come leadership challenges for which the shared leadership theory is discussed as a potential solution. While previous empirical studies investigating shared leadership in virtual teams generally confirm positive effects on team outcomes, this study aims to investigate in detail the leadership behaviors that are typically shared in these settings and how these shared leadership behaviors affect individual level outcomes.

Individuals from different teams participated in a questionnaire study (n = 411). Structural equation modeling was used to assess the effects of shared task- and relations-oriented leadership behaviors on team member’s subjectively perceived productivity and satisfaction with leadership.

Results indicate that shared task-oriented leadership behaviors have a significant positive effect on subjectively perceived productivity and satisfaction with leadership, while relations-oriented leadership behaviors have a significant negative effect. A hypothesis stipulating a moderating effect of task interdependence was not confirmed.

Practical implications include that in virtual teams with hierarchical organizational structures, it may be recommended that task-oriented leadership behaviors are shared among team members, whereas relations-oriented leadership behaviors should remain the responsibility of the official leader.

The findings complement previous research with new insights on behavioral dimensions of shared leadership and their effects on outcomes on the level of the individual.

This paper employs the gravity model to investigate how the growth of China’s textile and clothing (T&C) exports is displacing the exports of other Asian developing countries over the 1990-2015 period. Aggregate analyses were undertaken, and the endogeneity of Chinese exports were accounted by applying instrumental variables with country fixed effects. It was found that there was a negative impact of China’s emergence on T&C exports on other Asian developing countries. We further explored whether such displacement effect varies across Asian countries and the results showed that a more pronounced effect was found in low-income countries than high-income ones. Our findings suggest that the export competitiveness of China’s neighbors, i.e. both more and less developed Asian countries, are affected by the emergence of China in T&C Trade. The implications of China’s One Belt, One Road initiative are also discussed.

Economic diplomacy refers to methods and processes by which states take advantage of cross-border economic activities to achieve their national interests. It makes connections between the sphere of corporate players, who export or invest abroad, and the sphere of diplomats, who represent the state on the international scene and implement geopolitical decisions. The main purpose of this paper is to provide an overall and coherent framework for asking, classifying and discussing the main issues raised by economic diplomacy. It investigates concepts such as national interest, power and influence. It surveys the relevant literature and deals with various expressions of economic diplomacy such as export promotion agencies, economic role of embassies and consulates, or international economic sanctions. It analyzes the two-way relationship between international economics and international politics, which is at the core of economic diplomacy, and tries to answer the following questions: on the global scene, is diplomacy just accompanying the economy? Is diplomacy driving the economy?

This paper investigates effective human-robot collaboration (HRC) and presents implications for Human Resource Management (HRM). A brief review of current literature on HRM in the smart industry context showed that there is limited research on HRC in hybrid teams and even less on effective management of these teams. This book chapter addresses this issue by investigating factors affecting intention to collaborate with a robot by conducting a vignette study. We hypothesized that six technology acceptance factors, performance expectancy, trust, effort expectancy, social support, organizational support and computer anxiety would significantly affect a users' intention to collaborate with a robot. Furthermore, we hypothesized a moderating effect of a particular HR system, either productivity-based or collaborative. Using a sample of 96 participants, this study tested the effect of the aforementioned factors on a users' intention to collaborate with the robot. Findings show that performance expectancy, organizational support and computer anxiety significantly affect the intention to collaborate with a robot. A significant moderating effect of a particular HR system was not found. Our findings expand the current technology acceptance models in the context of HRC. HRM can support effective HRC by a combination of comprehensive training and education, empowerment and incentives supported by an appropriate HR system.

This article will select 25 years of subdivided data to perform Kaplan–Meier survival analysis on the export trade relations of Chinese wooden flooring, use discrete-time cloglog models to analyze influencing factors, use logit and probit models to test the robustness, and try to systematically reveal the duration of China's wood flooring export trade and its influencing factors.

This study used Kaplan–Meier survival function estimation method. In the survival analysis, survival function and hazard rate function are often used to characterize the distribution of survival time.

The continuous average export time of China's wooden flooring is relatively long, about 14 years. China's wooden flooring has a negative time dependency. After the export trade exceeds the threshold value of 15 years, the failure rate of trade greatly decreases, which has a “threshold effect.” Gravity model variables have a significant impact on the duration of China's wooden floor export.

Studying the duration of forest products trade is of great significance for clearing deep-level trade relations and promoting sustainable development of forest products trade.

This study aims to investigate the interplay between renewable energy development, unemployment and GDP growth within Bangladesh, India, Pakistan and Sri Lanka. The research underscores the significant role of renewable energy plays in stimulating economic growth and mitigating unemployment, offering crucial policy insights for sustainable growth in South Asia.

Utilizing the autoregressive distributive lag (ARDL) framework and Toda Yamamoto causality through the vector autoregressive (VAR) approach, the study analyzes the long-term and short-term impacts of these variables from 1990 to 2019.

This study reveals a significant co-integration among renewable energy consumption, unemployment and GDP growth in selected South Asian countries. The long-term estimation shows renewable energy consumption influences negatively economic progression in Bangladesh, with no notable correlation with unemployment. In contrast, Sri Lanka demonstrates an optimal relationship among all the variables. Short-run assessments reveal a significant positive relationship between renewable energy consumption and economic growth in India, while an inverse relationship is evident in Pakistan. Moreover, the relationship between unemployment and economic progression, the result shows a negative and significant relationship in India and Sri Lanka.

The study emphasizes the need for policy development concerning renewable energy development, unemployment reduction and sustainable economic growth in South Asia. While limitations exist, future research can expand upon this work by incorporating varied data, additional countries or alternative modeling techniques.

This research offers a unique exploration into the multidimensional impacts of renewable energy consumption, unemployment and economic growth in the South Asian context, an area previously unexplored in such depth.