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COVID-19 has affected most business activities, including technology-based business. The higher the business vulnerability rating, the greater the impacts. After identifying three dimensions of vulnerability (exposure, business sensitivity and response capacity), this study aims to determine the potential components and indicators of the vulnerability of technology-based businesses.

Using the indicator approach, a comprehensive vulnerability model was developed for assessing the vulnerability of the technology-based business against COVID-19.

In this study, COVID-19, as a biological threat and an exogenous shock, was considered the exposure dimension. Business characteristics, job characteristics, business owner-manager demographics, product and supplier characteristics were identified as the sensitivity dimension, while resources, human capital, technological capitals, social capitals, institutional capitals, infrastructures, management capacity and supply chain capabilities were defined as the adaptive business capability or response capacity. To determine vulnerability and response capacity against exogenous shocks and a pandemic crisis, the framework can act as a useful checklist for managers and owners of technology-based businesses.

Research on the COVID-19, especially in the technology-based business, is still at the emergent stage. This study is a pioneering effort to review the literature on business vulnerability and provide a framework to reduce business vulnerability using the indicator-based approach.

This research aims to develop a model that may be used to determine the effective adaptive measures to implement in a system affected by climate change.

The three primary dimensions of the model were individually investigated and then the linkages among them were developed. Specifically, the nature of climate change was examined and the issues emerging from the changes were analyzed. Next, an intensive study of system vulnerabilities was conducted, and the third factor in the model, risk, is then explored. Afterwards, the conceptual framework, which is the foundation of the climate change vulnerability risk model, was devised and the model created.

The model is a three‐dimensional matrix with the nature of climate change, vulnerabilities, and risks as its chief dimensions. It identifies the four natures of climate change, namely: variability, intensity, frequency, and quantity and the vulnerability types to be socio‐economic, biophysical, technological, and institutional. Meanwhile, risks are classified as income, biodiversity, health, mortality, and infrastructure risks.

The research is the first phase of a three‐stage study on the linkages among climate change, vulnerability, and risks. It is the development stage of the framework that exemplifies the interrelationships among these variables and is the basis of the statistical and econometric analyses in the later stages.

The climate change vulnerability risk model was developed to act as an analytical guide in understanding the effects of climate change to systems. The model may be used to determine the effective adaptive measures to apply in the system, through a comparative analysis of the variables in the matrix.

The authors examine the factors affecting households' resilience capacities and the impacts of these capacities on household consumption and crop commercialization.

The authors use panel data of 1,648 households from Thailand collected in three years, 2010, 2013 and 2016. The authors employ an econometric model with an instrumental variable approach to address endogenous issues.

The study results show that the experience of shocks in previous years positively correlates with households' savings per capita and income diversification. Further, a better absorptive capacity in the form of better savings and a better adaptive capacity in the form of higher income diversification have a significant and positive influence on household expenditure per capita and crop commercialization.

Development policies and programs aiming to improve income, increase savings and provide income diversification opportunities are strongly recommended.

The authors provide empirical evidence on the determinants of resilience strategies and their impacts on local food commercialization from a country in the middle-income group.

Adaptive capacity has commonly been defined as the “general ability of institutions, systems, and individuals to adjust to potential damage, to take advantage of opportunities, or to cope with the consequences” (http://www.greenfacts.org). Adaptive capacity is herein described as the ability to facilitate the process of adaptive team performance and the resulting outcome of team adaptation (see Stagl, Burke, Salas, & Pierce, this volume). More specifically, although often spoken of with regard to environmental and global changes, it is spoken of here with regard to the ability of individuals (and correspondingly teams) to recognize and understand contextual changes, dynamically revise and implement plans accordingly, and learn from each implementation so as to be better prepared in the future.

This paper aims at assessing the vulnerability of local communities in the Congo basin forests of Cameroon; to help them identify their specific needs for adaptation, and to facilitate knowledge sharing with the aim of enhancing adaptive capacity.

Using participatory‐action research approach, research was carried out in two project sites in Nkol‐evodo and in Yokadouma in the Center and South‐East Regions of Cameroon, respectively. The authors shared participatory‐research (PAR) steps and processes to assist other researchers and local stakeholders to jointly assess, monitor and adapt to climatic and other changes.

This study shows that the adverse effects of climate conditions to which study communities are exposed are already being felt and exerting considerable stress on most of the important activities to their livelihoods such as agriculture and exploitation of national resources. PAR tools and processes led to participatory diagnosis, conceptualizing of change, participatory identification, prioritization and implementation of specific strategies for climate change adaptation in the study sites. However, further studies are needed to investigate the effectiveness of these strategies.

The PAR experiences show that stakeholders' involvement throughout the project needs to be considered by researchers who wish to enhance the adaptive capacity of the communities they work with.

This paper contributes to the description of the process for enhancing adaptive capacity of forest living communities. Findings in this research may provide a crucial foundation for community‐based adaptation measures and complement broader‐scale scientific research with local precision.

The purpose of this paper is to explore the feasibility of developing an adaptive strategy to address the impact of climate change in the context of flooding.

The paper analyses flood risk and highlights the need for an adaptive strategic plan for flood risk management under the impact of climate change. It introduces a framework for the development of an adaptive strategic plan. The paper identifies organizational issues (at the local government scale) associated with having an adaptive strategic plan and developing a methodology to address these issues. It also identifies the need for a strategic decision support system (SDSS) and conceptualizing the system in order to support adaptive planning principle.

This study identifies lack of adaptability as a gap in traditional strategic planning for addressing flood risk associated with climate change. An adaptive strategic plan has adequate flexibility, promptness and responsiveness to adapt itself to new realities as they emerge and can sustain itself and remain relevant in a changing environment. The study introduces a SDSS that is necessary to support the adaptive element of an adaptive strategic plan.

This study distinguishes between a strategy for adaptation and an adaptive strategy. Most research on the topic of adaptation to climate change have been focused on developing strategies that offer adaptive solutions to pressing problems such as flooding. For instance, they may recommend more investment on non‐structural methods for flood mitigation, as they are more adaptive than alternative structural methods and therefore more sustainable under climate change. An issue that has attracted less attention is the fact that the strategic plans themselves (or in a sense the decision‐making framework) need to be equally adaptive. Some of public institutions do not have adequate flexibility and promptness to change and rectify high‐level strategic plans. The study identifies the lack of an SDSS, which allows new scientific findings to be converted to new policies in a short period of time, as a reason for absence of promptness, responsiveness and flexibility in such organizations. This study makes an attempt to address this issue by suggesting a frame work that will enable a government institution to become more responsive to change.

The purpose of this paper is to assess smallholder farmers’ vulnerability to climate change and variability based on the socioeconomic and biophysical characteristics of Chiredzi District, a region that is susceptible to the adverse effects of climate change and variability.

Vulnerability was assessed using the Vulnerability to Resilience and the Climate Vulnerability and Capacity frameworks.

The major indicators and drivers of vulnerability were identified as droughts, flash floods, poor soil fertility and out-migration leaving female- and child-headed households. From sensitivity analysis, it was shown that different areas within the district considered different biophysical and socioeconomic indicators to climate change and variability. They also considered different vulnerability indicators to influence the decisions for adaptation to climate change and variability.

The results of this study indicate that the area and cropping systems are greatly exposed and are sensitive to climatic change stimuli, as shown by the decline in main cereal grain yield. These results also showed that there is a need to define and map local area vulnerability as a basis to recommend coping and adaptation measures to counter climate change hazards.

This study aims to evaluate the link between climate/weather change and farmer migration in Bihar, India. The influence of cognitive conditions and climate-related stress on farmer migration decisions and the socioeconomic characteristics of migrating and non-migrating farm households are analysed. The focus is the role of migration in access to climate and agricultural extension services and the contribution of migration to enhanced farmer coping capacity.

A primary survey was conducted of farm households in seven districts of Bihar, India. Farmer perceptions of climate change were analysed using the mental map technique. The role of socioeconomic characteristics in farm household migration was evaluated using binary logistic regression, and the influence of migration on access to climate and agricultural extension services and the adaptive capacity of migrating households was investigated using descriptive statistics.

Climate-induced livelihood risk factors are one of the major drivers of farmer’s migration. The farmers’ perception on climate change influences migration along with the socioeconomic characteristics. There is a significant difference between migrating and non-migrating farm households in the utilization of instructions, knowledge and technology based climate and agriculture extension services. Benefits from receipt of remittance, knowledge and social networks from the host region enhances migrating households’ adaptive capacity.

This study provides micro-evidence of the contribution of migration to farmer adaptive capacity and access to climate and agricultural extension services, which will benefit analyses of climate-induced migration in other developing countries with higher agricultural dependence. In addition, valuable insights are delivered on policy requirements to reduce farmer vulnerability to climate change.

The purpose of this paper is to develop a methodological approach to assist and prepare rural community members to make policy makers better aware of their information needs.

The methodological approach developed in this study both combines sequences of mapping presentations and small group discussions, based on ethnographic findings and climate change scenarios and also supports the integration of local and scientific knowledge in an effort to build upon local community members understanding of climate change. Participatory mapping sessions are designed and implemented in three rural communities of the Canadian prairies.

The application of the methodological approach developed in this study results in a set of rural community recommendations, relevant to policy makers, in an effort to ameliorate the potential future impacts of climate change at the local community level.

The need for developing venues capable of integrating the multiple dimensions (e.g. social, economic, biophysical); the multiple realities (e.g. rural community members, scientific community members); and the multiple modes of inquiry (e.g. qualitative, quantitative) involved in climate change vulnerability and adaptation.

The purpose of this paper is to present a conceptual framework on resilience types in supply chain networks.

Using a complex adaptive systems perspective as an organizing framework, the paper explores three forms of resilience: engineering, ecological and evolutionary and their antecedents and links these to four phases of supply chain resilience (SCRES): readiness, response, recovery, growth and renewal.

Resilient supply chains need all three forms of resilience. Efficiency and system optimization approaches may promote quick recovery after a disruption. However, system-level response requires adaptive capabilities and transformational behaviors may be needed to move supply chains to new fitness levels after a disruption. The three resilience types discussed are not mutually exclusive, but rather complement each other and there are synergies and tradeoffs among these resilience types.

The empirical validation of the theoretical propositions will open up new vistas for supply chain research. Possibilities exist for analyzing and assessing SCRES in multiple and more comprehensive ways.

The findings of the research can help managers refine their approaches to managing supply chain networks. A more balanced approach to supply chain management can reduce the risks and vulnerabilities associated with supply chain disruptions.

This study is unique as it conceptualizes SCRES in multiple ways, thereby extending our understanding of supply chain stability.