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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.

A company's overall success and resilience in the market is increasingly linked to its Environmental, Social, and Governance (ESG) performance. Following a brief review of sustainable development and corporate sustainability, the concept and rationale behind ESG is discussed with an emphasis on the criteria and limitations of ESG scores. ESG matters are mostly limited to global hotel chains but critical to an entire industry that seeks to decarbonize its operations until 2050 while also tackling the Sustainable Development Goals (SDGs). There is a potential misalignment of the ESG criteria to achieve the ambitious SDGs based on the narrow, environmentally based view on sustainability in the hotel sector. A set of recommendations is designed to align the SDGs to ESG requirements and expectations supported by industry examples within the context of the COVID-19 pandemic and resiliency imperative.

Climate change places significant pressure on the tourism sector by altering environmental and socio-economic conditions that influence tourist behaviour and the attractiveness of destinations. Rising temperatures, changing precipitation patterns and the increasing frequency and severity of extreme weather events affect tourism supply and demand. On the supply side, climate change threatens tourism infrastructure, natural attractions, recreational opportunities and accessibility of destinations. Coastal destinations are particularly vulnerable to sea-level rise and coastal flooding, which can damage tourism assets. On the demand side, changing climatic conditions alter visitor comfort levels, health risks and the seasonality of destinations, influencing tourists' choice of destinations. In addition, small island destinations face unnecessary risks due to their economic dependence on climate-sensitive activities such as beach and nature tourism. Adapting the tourism sector to climate change requires reducing vulnerability through diversification, green infrastructure, ecosystem conservation, community-based adaptation and policy support. Mitigating tourism's contribution to climate change requires minimising energy use, switching to renewable energy, improving efficiency, reducing long-haul flights and promoting sustainable consumption and production. Collective and concerted efforts by all stakeholders are needed to transition to a climate-resilient and low-carbon tourism sector that continues to provide socio-economic benefits while minimising its environmental footprint.

Amid rising environmental concerns, Industry 4.0 and blockchain technology (BCT) are transforming circular economy practices and prevailing business models. Recognizing the same, the current study examines the role of advanced technology in circular practices and their impact on eco-environmental performance, which influences organizational performance. The study collects data from 185 food processing enterprises that are located in Malaysian territories. By employing CB-SEM modeling, the study provides three key findings. First, Industry 4.0 significantly improves the circular economy practices. Second, circular economy practices help to improve firms' environmental performance but did not stimulate operational performance. Third, higher eco-environmental performance significantly boosts organizational performance. This study set out the foundations for participating countries/firms that help to achieve sustainable goals through the integration of blockchain technology in circular economy practices.

Introduction − Covid-19, which first emerged in Wuhan, People’s Republic of China, in January 2020, with an unknown source, spread to all countries of the world very quickly and caused the death of over two million people world-wide. This ever-increasing global need for health care has created a radical transformation in terms of not only in health care, but also in all public services. Transportation services for the transfer of patients to health institutions, education services due to the dangers of face-to-face training, justice services due to the postponement of non-urgent court proceedings, security services in terms of restriction sanctions and all public services in general due to the disruption of access to public services due to flexible working hours applied to public personnel has entered into an unplanned provision.

Purpose: The aim of this chapter is to identify the problems that arise in the provision of public goods and services due to the global epidemic of Covid-19, and to bring a new interpretation to the theoretical discussions about the optimal delivery level of public services when there is a situation of communicable disease.

Methodology: The principles of public goods and service provision of G20 countries, Covid-19 mortality rates, indicators of the well-being of healthcare delivery such as the number of bed and personnel, the type and number of devices used to diagnose the Covid disease, and the public service restrictions taken to eliminate Covid-19, have been evaluated by employing descriptive analysis. In order to prevent income and advanced levels from becoming distinctive features, G20 countries with similar income and development levels were selected for this research.

Findings: Due to the Covid-19 pandemic, there has been a distortion in the preference of provision of almost all public goods, and it has been observed that the delivery level of public services affects each other since all are linked like a chain. Failure to achieve what is expected from international organizations, which should be in a regulatory position in this regard, has increased concerns about the optimal presentation level of all public goods, especially health, in the future. As long as there is a global pandemic and countries do not take effective measures, a bad second best position that is far from optimal results but provides that instant solutions.

In this paper, we study a partially linear dynamic panel data model with fixed effects, where either exogenous or endogenous variables or both enter the linear part, and the lagged-dependent variable together with some other exogenous variables enter the nonparametric part. Two types of estimation methods are proposed for the first-differenced model. One is composed of a semiparametric GMM estimator for the finite-dimensional parameter θ and a local polynomial estimator for the infinite-dimensional parameter m based on the empirical solutions to Fredholm integral equations of the second kind, and the other is a sieve IV estimate of the parametric and nonparametric components jointly. We study the asymptotic properties for these two types of estimates when the number of individuals N tends to ∞ and the time period T is fixed. We also propose a specification test for the linearity of the nonparametric component based on a weighted square distance between the parametric estimate under the linear restriction and the semiparametric estimate under the alternative. Monte Carlo simulations suggest that the proposed estimators and tests perform well in finite samples. We apply the model to study the relationship between intellectual property right (IPR) protection and economic growth, and find that IPR has a non-linear positive effect on the economic growth rate.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.