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Social media facilitates consumer exchanges on product opinions and provides comprehensive knowledge of online products. The interaction between consumers and e-retailers evolves into a collective set of dynamics within a complex system. Agent-based modeling is well suited to stimulate such complex systems. The purpose of this paper is to integrate agent-based model and technique for order performance by similarity to ideal solution (TOPSIS) to simulate decision behaviors of e-retailers in competitive online markets.

An agent-based network model using the TOPSIS driven by actual price data is developed. The authors ran an experimental model to simulate interactions between online consumers and e-retailers and to record simulation data. A nonparametric test is used to conduct data analysis and evaluate the sensibility of parameters.

Simulation results showed that different profits could be obtained for various brands under different social network structures. E-retailers could achieve more profits through cross-selling than single-selling; however, the highest profits can be achieved when some adopt cross-selling, whereas others use single-selling. From a game perspective, the equilibrium for price-adjustment frequency can be determined from the simulation data. Thus, price adjustment differences significantly affect e-retailer profit.

This study provides new insights into the evolutionary dynamics of online markets. This work also indicates how to build an integrated simulation model with an agent-based model and TOPSIS and how to use an integrated simulation model and interpret its results.

The purpose of this paper is to briefly summarize and review the theories and methods of complex structures’ dynamic reliability. Complex structures are usually assembled from multiple components and subjected to time-varying loads of aerodynamic, structural, thermal and other physical fields; its reliability analysis is of great significance to ensure the safe operation of large-scale equipment such as aviation and machinery.

In this paper for the single-objective dynamic reliability analysis of complex structures, the calculation can be categorized into Monte Carlo (MC), outcrossing rate, envelope functions and extreme value methods. The series-parallel and expansion methods, multi-extremum surrogate models and decomposed-coordinated surrogate models are summarized for the multiobjective dynamic reliability analysis of complex structures.

The numerical complex compound function and turbine blisk are used as examples to illustrate the performance of single-objective and multiobjective dynamic reliability analysis methods. Then the future development direction of dynamic reliability analysis of complex structures is prospected.

The paper provides a useful reference for further theoretical research and engineering application.

Crisis management has developed as an established field of scholarly research in tourism over the last three decades. More recently, the concept of resilience has emerged within this body of literature as a longer-term planning process. However, important knowledge gaps remain, especially with regards to the strategic responses of small tourism businesses in destinations prone to repeated crises.

This chapter reviews the literature related to crisis management and resilience in tourism.

Key knowledge gaps are outlined and discussed in the context of tourism research related to crisis management and resilience, with a specific emphasis on research related to small tourism businesses.

Although crisis management and resilience are fields of research that continue to generate a considerable amount of scholarly enquiry in tourism, particularly with studies related to the impacts of terrorism on tourism destinations and, more recently, the short- and longer-term impacts of the COVID-19 pandemic on tourism, there is very little research related to the role of small tourism businesses in this context, in spite of their key role in the tourism system of destinations around the world.

Emerging from the COVID-19 pandemic, the Philippines has undergone the “new normal” transition, creating a strategic recovery effort to reinvigorate the industry. In tourism, these transitions aim to safeguard employees' and guests' health and safety, ensure continuity of business operations, boost tourism confidence leading to satisfaction, and establish a resilient and sustainable tourism industry in the postpandemic era. Hence, this chapter employs a system thinking leveraging a causal loop diagram (CLD) to construct a comprehensive roadmap for Philippine tourism's postpandemic resurgence through the system thinking lens. The CLD visually illustrates the inter-related factors influencing the recovery process, encompassing collaborative engagements, innovations, economic revitalization, and health and safety protocols. By analyzing the causal relationships among these variables, this chapter explicates the dynamic and interconnected nature of the postpandemic recovery leading to the recovery of the Philippine tourism industry, especially in the context of thinking small. Through this chapter, thinking small could involve a shift toward localized solutions and community-focused initiatives that allow them to foster local economies, build resilience, and create a more inclusive and sustainable postpandemic recovery.

This paper aims to summarize the current state of research on risk, crisis and disaster management in the generic field, and in tourism and hospitality. It identifies key themes and compares the main topics studied in both the tourism and hospitality management and marketing literature.

A narrative (thematic) review and synthesis was completed based on articles published in the top 20 tourism and hospitality management journals from 2011 to March 2021. A review was conducted of the generic literature from 2016 to 2020.

From 210 papers reviewed, only 47 are in the hospitality field. The authors found that 80% of papers were empirical with slightly more quantitative papers produced. The majority of the papers focused on crises. Three key themes were found from the review and future research proposed to address gaps based on these findings and a review of 26 papers from the generic risk, crisis and disaster management field.

Research is required into planning and preparedness, not just response and recovery to crises and disasters. Future research should consider hospitality rather than tourism, particularly focusing attention outside of the accommodation sector. Hospitality studies also need to go beyond the micro-organizational level to include more meso- and macro-level studies.

The review provides a number of future research directions for tourism and hospitality research in the field. The paper provides a comprehensive multi-dimensional framework to synthesize studies and identifies research gaps. It also provides recommendations on methodologies required to progress these research directions. Research in this field is likely to grow because of the impact of COVID-19.

The purpose of this study is to look at the factors that drive people to participate in the sharing economy (SE). Based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), the study proposes a mathematical model. The study’s ultimate objective is to help businesses attract more involved customers and promote collaborative consumption as a sustainable alternative to typical consumption patterns. The study offers a conceptual framework established via a thorough literature review to examine Indian customers’ use behavior toward SE platforms. A one-sample two-tailed t-test is used to assess the framework’s efficacy. The research fills gap in the literature on the SE by investigating the factors that determine subjective norms (SN), attitudes (A), and perceived behavioral control (PBC). A framework is provided that takes behavioral intention (BI) contemplated as a mediating variable. The research improves TAM and TPB by including new factors such as technical characteristics. This research adds to the body of knowledge on the digital SE by underlining the relevance of usage behavior in comprehending Indian customers, where A, SN, and PBC are important aspects. The research presents a paradigm for better understanding customers’ attitudes and behaviors toward various SE platforms, which might help academics, practitioners, and policy makers situate their initiatives within the larger field of sharing. The study’s categorizations of Indian consumers’ A, SN, PBC, and BI toward the SE might potentially advise on future research and government policies.

This study aims to study the formation mechanism of micro-arc oxidation (MAO) coating on AZ31 magnesium alloy and how the annealing process affects its corrosion resistance.

This study involved immersion experiments, electrochemical experiments and slow strain rate tensile experiments, along with scanning electron microscopy, optical microscopy observation and X-ray diffraction analysis.

The findings suggest that annealing treatment can refine the grain size of AZ31 magnesium alloy to an average of 6.9 µm at 300°C. The change in grain size leads to a change in conductivity, which affects the performance of MAO coatings. The MAO coating obtained by annealing the substrate at 300°C has smaller pores and porosity, resulting in better adhesion and wear resistance.

The coating acts as a barrier to prevent corrosive substances from entering the substrate. However, the smaller pores and porosity reduce the channels for the corrosive solution to pass through the coating. When the coating cracks or falls off, the corrosive medium and substrate come into direct contact. Smaller and uniform grains have better corrosion resistance.

The purpose of this paper is to study the effects of voltage on microstructure and properties of micro-arc oxidation (MAO) ceramic coatings formed on AZ31B magnesium alloy under the constant current–constant voltage operation mode.

The wear and corrosion resistance of MAO coating on AZ31B magnesium alloy was studied by MAO in silicate electrolyte under constant current and constant voltage.

When the voltage is 360 V, the wear and corrosion resistance of AZ31B magnesium alloy is the best.

The wear and corrosion resistance of MAO coating on AZ31B magnesium alloy was studied by friction wear and electrochemical workstation.

The leisure industry is colossally impacted by varied types of crisis. Assessing the volatility; an attempt is made towards disaster planning and a response system. This chapter indicates an all-inclusive integrated approach to deal with disasters and narrates conceptual and latest factual findings in the space of disaster management. An efficient and self-equipped attraction demands a competent and efficient disaster management system in place.

This chapter devises measures to deal with the capacity of a destination during pandemic and proposes recovering strategies for the leisure business. Destination governance and disaster management techniques are well explored in the proposed chapter.

An imperative study of this nature will determine the role of cultural perceptions of varied risk and threats in a pandemic scenario. Innovative practices of disaster governance and Post-disaster recovery strategies are crucial mechanisms for the sustenance of tourism and hospitality sector.

The conceptual ideas and outcomes obtained in this chapter helps policy makers not only to find new strategies to placate the negative impacts of COVID-19 on the organic image of tourist destinations but also assists in accelerating the recovery timeframe just after the pandemic.