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A better understanding of the processes that shape households’ adaptation decisions is essential for developing pertinent policies locally, thereby enabling better adaptation across scales and multiple stakeholders. This paper aims to examine the determinants of household decisions to adapt, it is also possible to target factors that facilitate or constrain adaptation. This helps to identify key components of current adaptive capacity, which leads to important insights into households’ competence to adapt in the future.

This paper takes a full-pledged approach examining factors and processes that shape households’ climate adaptation decision-making in rural Cambodia at three levels: adaptation status, adaptation intensity and choices of adaptation strategy. The three-stage analyses are materialized by applying the double hurdle model and multivariate probit model, which provides a potential way to systematically assess household adaptation decision-making in rural settings.

Results show a high level of involvement in adaptation among local households who are facing multiple stressors including climatic risks. The findings suggest that perceived climate change influence households’ decisions in both adaptation status and intensity. Access to financial credit, farmland size, water availability and physical asset holdings are identified as key factors promoting the adoption of more adaptation measures. To facilitate adaptation, collective effort and support at community level is important in providing knowledge based climate information dissemination and early warning systems. Public sector support and development aid programs should focus on positive triggers for targeted community and household adaptation.

The study, to the authors’ best knowledge, is one of the first studies to investigate the determinants of local adaptation decision-making systematically in Cambodia. It also provides a comprehensive approach to improve understanding of adaptation decision-making processes by exploring how various capital assets are associated with different stages of adaptation decisions. The findings contribute to policy implications enlightening adaptation planning at multi-scales with knowledge of key factors, which enhance local adaptive capacity to reduce climate change vulnerability.

The purpose of this article is to examine the affect of national culture on knowledge management (KM) for multinational companies (MNCs). MNCs often have to decide whether to standardize or adapt their operations. Previous research has found that national culture has an effect in a range of MNC operations, e.g. human resources, marketing. However, there has been limited research on the influence of culture on knowledge management. The aim of this article is to propose a framework for standardization and adaptation of knowledge management processes based on differences in national culture.

The following literatures were reviewed: knowledge management processes, the effect of culture on knowledge management, and the standardization versus adaptation decision in international business. These perspectives were combined to develop a conceptual framework that explores the decision to standardise or adapt knowledge management practices.

There are several key findings. First, the impact of national culture on KM may be understood at the level of KM's processes and sub‐processes, e.g. knowledge creation. Second, the level and nature of impact will vary by process or sub‐processes. Third, the variance by process allows us to isolate the impact and better manage it. Fourth, the impact of national culture standardization versus adaptation decision for KM may be resolved through two competing tensions: pressures for cultural responsiveness and pressures for scope economies. Fifth, while there are conditions where standardization is appropriate and where adaptation is appropriate, at the KM system, process and sub‐process levels, the decision must still be implemented effectively. This leads to four potential outcomes of the standardization versus adaptation decision: appropriate and inappropriate standardization, and appropriate and inappropriate adaptation.

The article's conceptual framework provides managers with guidelines on how to understand the impact of national culture on their knowledge management practices, leading to effective standardization versus adaptation decisions. The main contribution is the notion that the impact of culture may be isolated at the process level, providing more flexibility and manageability. Academics may use the conceptual framework as a basis for further empirical research on the standardization and adaptation of knowledge management practices.

This article is the first to examine the standardization and adaptation of knowledge management practices in an international context. The standardization versus adaptation decision has been explored in other disciplines (e.g. strategy, marketing, human resources) and has been found to be an important international business decision. Our conceptual framework makes an innovative contribution to this debate by suggesting there are two tensions involved: pressures for cultural responsiveness and pressures for scope economies. By understanding the factors underlying these pressures and linking these to knowledge management processes, we suggest that firms may isolate and better manage the standardization versus adaptation decision.

The Gold Coast is a low‐lying coastal Australian city and many residential areas are subject to 1:100 year flood events. Evidently, there is a need for the city to adapt to sea‐level rise (SLR) by developing more effective policies to reduce its destructive impacts. Thus, the purpose is to identify and evaluate preferred adaptation alternatives to reduce the vulnerability to SLR and storm surges.

In this research, we explore stakeholders’ opinions for adaptation alternatives to adapt to the impacts of SLR. As part of exploring alternatives to improve Gold Coast's resilience to climate change effects we are undertake a multi‐criteria analysis by using the analytical hierarchy process (AHP). The goal, criteria and adaptation alternatives were derived, and based upon, adaptation programmes, existing adaptation works by local governments and an extensive literature review. The final AHP structure was developed after further consultations with three local stakeholders (politicians, experts and residents).

The results show that across the three stakeholder groups, effectiveness and sustainability are the criteria of highest priority, respectively. When considering adaptation alternatives, the highest priority for politicians and residents is improving building design whilst for experts improving public awareness is of most importance.

We demonstrated that utilising the AHP method in the aforementioned context for the Gold Coast region could provide a straightforward approach to evaluate the adaptation alternatives from multi‐stakeholders’ perspectives. Advantages are its versatility in application to coastal processes and its inclusion of the multiple stakeholder in the decision‐making process.

Rice is the primary staple crop in South Asia and is cultivated mainly on lowland ecosystems usually fed by the monsoon. With increasing climatic volatility, exclusively rain-fed rice paddies have experienced a triple threat in droughts, floods and salinity. This study investigates the linkages of these abiotic stresses on yield and subsequent farmer decisions on varietal choice.

A path analytic model is conceptualized where the relationship between yield (conditional on abiotic stresses) and the varietal choice decision is mediated by adaptation motive (latent construct) and market exposure (observed construct). The path model is validated using 2,523 observations from Bangladesh farmers to obtain parameter estimates for direct effects and mediated effects indicated above.

Findings reveal that drought and flood impacts, in contrast to salinity impacts, are influential to both yield and varietal choice. The adaptation motive, however, is clear only in the case of salinity. Time preference of farmers and previous exposure to climate shocks predict adaptation motive substantively. The study reveals that market exposure is also a significant mediator of varietal choice in addition to the mediating effect of adaptation.

The study adopts a path analytic model which is able to capture direct, indirect and mediated effects between exogenous factors and varietal choice decision. While the models provide conclusive statistical evidence to the above hypotheses, within-area variations of behavior may not be captured adequately by the method.

Analyzing the complexity of varietal decision-making choice using a path analytical model is a novel contribution to the literature. The application itself is unique to the context applied. The findings complement the literature on varietal adoption in the context of climate resilient paddy systems.

The farmers used several information sources to gather information about the climatic variability and modern agricultural practices to cope with climate change. The choice of adaptation strategies and the successful implication of adaptation strategies depend on accurate, timely information on the climate variability and precise technical details of adaptation strategies. By keeping the importance of climate information and agricultural extension information in the center, this study aims to conduct a micro-level evaluation of farmers’ choice of climate information, agriculture extension services and agricultural credit sources. This study’s primary objective is to understand how the different sources of climate information and agricultural extension influence farm household adaptation decisions.

This study has been conducted in three subs agro-climatic zone of the Middle Gangetic Plain region, which falls in India’s Bihar state. This paper has randomly selected seven districts from these three subs agro-climatic zone to collect the data. The analysis of this study is based on survey data collected from 700 farm households. This study has used descriptive statistics and a logistic regression model to assess the sources of climate information, agricultural extension and credit sources and how these sources influence farm households’ adaptation decisions.

The result of this study shows farmers are using different traditional (sharing experience, newspaper and radio), information and communication technology (mobile and TV) and institutional arrangements (agricultural officer and meteorological department) in the study area. The study’s finding identifies different farm households’ different sources and how these options farming farmers’ adaptation decisions. The study further revealed that institutional factors such as extension services and access to information on climate change increase the probability of adopting knowledge-intensive adaptation strategies such as soil conservation, water conservation, crop insurance and planting horticulture and vegetables.

The study has conducted a micro-level assessment of adaptation behavior at the local level to understand the factor influencing the adaptation decision. This study’s finding is useful in designing the appropriate policy framework for the farm household’s capacity building to enhance their technical skills and awareness toward the institutional arrangements.

This paper’s finding pointed out institutional arrangements’ requirement to improve adaptive capacity to make long-term strategic decisions to cope with climate change.

This study aims to contribute to the existing understanding of export practices in sub-Saharan African firms with a contextual focus on Ghanaian exporters operating in business-to-business (B2B) markets. Underpinned by resource-based theory and its association with the relational view, it examines how the interplay between various decision makers’ international experience, export commitment and distribution adaptation decisions influence firms’ performance.

The study uses a mixed methods approach, using survey data from 116 internationalising Ghanaian businesses across three sectors, supplemented with qualitative insights from 18 follow-up interviews.

The study establishes a full mediation effect of export commitment on the association between international experience and export performance; also, the moderating effect of distribution adaptation on export commitment – performance relationships. Unique insights are provided into the perceived role of trustworthy, intermediaries as “stakeholders” that add to a respective firm’s resource base; that is, in building capabilities in overseas markets and informing evolving business model decisions to overcome potential export barriers.

The insights from sub-Saharan African firms provide contextual value given the relatively under-represented existing research from the region. Original insights highlight ways in which decision makers build capabilities and that they do not always follow a forward moving internationalisation process, so use different measures of performance regarding B2B product-market ventures over time.

It is imperative to intensively engage stakeholders in the process of adapting to climate change impacts because stakeholders are important components in adaptation process and policy formulation. However, there is slight empirical evidence that has been established to indicate whether the stakeholders are significantly involved in developing various adaptations plans.

As a way of bridging that gap, this study adopted both primary and secondary data and assumed various techniques. In-depth, semi-structured interview was the major approach and most interviews were conducted between June and August 2020. Here, 20 stakeholders were involved in this kind of participatory process. To make results more rigorous, the data from interviews were enriched with data from documentary reviews. Generally, the data were analyzed through theme content analysis.

The results exhibit that there has been little engagement of stakeholders in undertaking various researches especially in marginalized areas. In some instances, several stakeholders have been included; however, the most important ones have been excluded in the process, thus affecting the provision of data. The inconsistences affect the whole adaptation process and bring numerous controversies with the existing realities which recognize stakeholders as important entity in the adaptation process. Subsequently, this has widely affected even the set ups of decision-making organs and the policy formulation processes at large.

Explicitly, the results of this study are essential to climate scientists and practitioners, as the results reveal the real situation in the field. Similarly, the results inform how various sustainable projects, plans and policies related to climate change adaptations can be developed. Conclusions are therefore drawn to strengthen sustainable adaptation to climate change impacts through increased stakeholder involvement.

This paper seeks to establish the rationale for existing office building adaptation within Melbourne, Australia, as the city strives to become carbon neutral by 2020. The problems faced by policy makers to determine which buildings have the optimum adaptation potential are to be identified and discussed.

This research adopts the approach of creating a database of all the buildings in the Melbourne CBD including details of physical, social, economic and technological attributes. This approach will determine whether relationships exist between attributes and the frequency of building adaptation or whether triggers to adaptation can be determined.

This research provided evidence that a much faster rate of office building adaptation is necessary to meet the targets already set for carbon neutrality. The findings demonstrate that a retrospective comprehensive examination of previous adaptation in the CBD is a unique and original approach to determining the building characteristics associated with adaptation and whether triggers can be identified based on previous practices. The implication is that a decision‐making tool should be developed to allow policy makers to target sectors of the office building stock to deliver carbon neutrality within the 2020 timeframe.

Drastic reductions in greenhouse gas emissions are required to mitigate global warming and climate change and all stakeholders should be looking at ways of reducing emissions from existing stock.

This paper adds to the existing body of knowledge by raising awareness of the way in which the adaptation of large amounts of existing stock can be fast tracked to mitigate the impact of climate change and warming associated with the built environment, and in addition it establishes a framework for a decision‐making tool for policy makers.

The purpose of this paper is to propose a decision support system (DSS) that stabilizes the flow of fixtures in manufacturing systems. The proposed DSS assists decision-makers to reuse or adapt the available fixtures or to manufacture new fixtures depending upon the similarity between the past and new cases. It considers the cost effectiveness of the proposed decision when an adaptation decision is passed.

The research problem is addressed by integrating case-based reasoning, rule-based reasoning and fuzzy set theory. Cases are represented using an object-oriented (OO) approach to characterize them by their feature vectors. The fuzzy analytic hierarchy process (FAHP) and the inverse of weighted Euclidean distance measure are applied for case retrieval. A machining operation is illustrated as a computational example to demonstrate the applicability of the proposed DSS.

The problems of fixture assignment and control have not been well-addressed in the past, although fixture management is one of the complex problems in manufacturing. The proposed DSS is a promising approach to address such kinds of problems using the three components of an artificial intelligence and FAHP.

Although the DSS is tested in a laboratory environment using a numerical example, it has not been validated in real industrial systems.

The DSS is proposed in terms of simple rules and equations. This implies that it is not complex for software development and implementation. The illustrated numerical example indicates that the proposed DSS can be implemented in the real-world.

Demand-driven fixture retrieval and manufacture to assign the right fixtures to planned part-orders using an intelligent DSS is the main contribution. It provides special consideration for the adaptation of the available fixtures in a system.

This paper aims to assess the vulnerability of the farmer-respondents in Southern Philippines, specifically Region XI and XII, to climate change.

This study conducted an empirical analysis of the impact of climate change on maize (Zea mays), banana (Musa sapientum) and durian (Durio zibethinus) production. Furthermore, it estimated the determinants of adaptation to climate change and its corresponding effect on farm productivity. The analysis used primary data from 541 farmer-respondents producing maize, banana and durian in the 6 provinces and 18 municipalities of the sample areas.

Based on the probit estimate results, farmers adaptation decisions were influenced by information about future climate change conditions, social capital, access to formal extension and farmer-to-farmer extension. The author found from the stochastic frontier estimation in the production function that climate change adaptations exerted a significant impact on farm productivity. It helped in coping with the adverse effects and risk of climate change while increasing agricultural productivities of the farmer-respondents.

This research paper will be an addition to the body of knowledge on the socioeconomic aspects on the climate change and adaptation on the production of maize, banana and durian in the case of a developing country like Southern Philippines. This will bring more insights into the adaptation strategies that are crucial to cope with climatic variability and change.