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This study aims to deal with the case adaptation problem associated with continuous data by providing a non-zero base solution for knowledge users in solving a given situation.

Firstly, the neighbourhood transformation of the initial case base and the view similarity between the problem and the existing cases will be examined. Multiple cases with perspective similarity or above a predefined threshold will be used as the adaption cases. Secondly, on the decision rule set of the decision space, the deterministic decision model of the corresponding distance between the problem and the set of lower approximate objects under each choice class of the adaptation set is applied to extract the decision rule set of the case condition space. Finally, the solution elements of the problem will be reconstructed using the rule set and the values of the problem's conditional elements.

The findings suggest that the classic knowledge matching approach reveals the user with the most similar knowledge/cases but relatively low satisfaction. This also revealed a non-zero adaptation based on human–computer interaction, which has the difficulties of solid subjectivity and low adaptation efficiency.

In this study the multi-case inductive adaptation of the problem to be solved is carried out by analyzing and extracting the law of the effect of the centralized conditions on the decision-making of the adaptation. The adaption process is more rigorous with less subjective influence better reliability and higher application value. The approach described in this research can directly change the original data set which is more beneficial to enhancing problem-solving accuracy while broadening the application area of the adaptation mechanism.

The examination of the calculation cases confirms the innovation of this study in comparison to the traditional method of matching cases with tacit knowledge extrapolation.

The algorithm models established in this study develop theoretical directions for a multi-case induction adaptation study of tacit knowledge.

This study designs a multi-case induction adaptation scheme by combining NRS and CBR for implicitly knowledgeable exogenous cases. A game-theoretic combinatorial assignment method is applied to calculate the case view and the view similarity based on the threshold screening.

Three types of adaptation are distinguished in problem‐solving systems: Adaptation to the environment, adaptation to the problem and adaptation to the class of problems. An important class of problem‐solving systems with developed adaptive properties is described. The system APROS, designed to solve R&D problems and problems of robot actions planning, serves as an example of such a system.

The purpose of this paper is to address the formulation, implementation, and adaptation of closely coupled multi‐physics problems with h‐ and p‐adaptive finite element methods. A general formulation is chosen allowing for coupled problems of various types. Adaptation algorithms for h‐ and p‐refinement are given.

A generic system of second‐order differential equations is used, where the field of each individual problem is represented as an entry in the list of field variables. Specific problems are implemented by mapping material coefficients to the coefficients of the generic form. An example with four natures is investigated with close coupling between electric, mechanical and thermal fields. h‐ and p‐refinement using a single mesh is considered, where the element order may differ for individual fields.

In coupled problems, the error in each single field is affected by approximation properties of all other field quantities. In order to allow for optimal convergence order in the number of degrees of freedom, the error contributions of all fields have to be considered. Separate error estimation in each field is needed especially in h‐adaptation on a single mesh. Energy coupling coefficients were introduced to derive an adaptation criterion. Convergence analysis of h‐ and p‐adaptation proves the feasibility of the approach.

Piezopyroelectricity considers thermal effects in high‐frequency piezoelectric materials, which is a coupled problem of four natures. The paper introduces an adaptation criterion for such complicated coupled problems and proves feasibility.

For communities threatened by current or impending climate change, adaptation is becoming a necessity. Although little research has been done on human competences so far, this research shows that some appear to facilitate the adaptation process. The purpose of this multiple‐case study is to identify adaptive competences demonstrated by two groups of Canadian citizens: municipal employees in a coastal community and farmers.

As part of workshops based on a problem solving process, the two groups analyzed the impacts of climate change in their field of work and geographical area, chose a problem related to these impacts, suggested and then implemented adaptation measures. The municipal employees worked on sea level rise, whereas the farmers focused on poor soil quality, which makes it vulnerable to bad weather.

By thematically analyzing the verbatim transcripts of the workshops and by building narratives, the authors were able to identify similar adaptive competences in both groups: local knowledge, futures thinking, hindsight, risk prediction, critical thinking, decision‐making, and problem solving (highlighting key problem components, suggesting solutions, and identifying constraints). However, two competences were chiefly found in the group composed of farmers: optimism and openness to novelty.

This study is one of the first to lead to recommendations regarding the pedagogical support of citizens during an adaptation process to climate change. These recommendations might be helpful in many communities where adaptation to climate change is a pressing issue.

Despite an expanding research interest in the topic of expatriation, there is still a significant gap in our understanding of the expatriation process. This article presents recently collected research data on the experiences of Finnish expatriates adjusting to living and working in other European countries. It is argued that the process of adaptation varies considerably between countries and, on that basis, argues that the existing models of adaptation are useful, but themselves need adaptation. The article also offers recommendations for expatriates and for the organisations that employ them.

This research provides a new perspective in explaining cardholders' willingness to use debit cards instead of cash by applying the transaction costs economic theory. This study also expands the adaptation of transaction cost economics theory in explaining consumer behaviour by investigating the moderating effects of income and education level on the relationship between perceived transaction costs and willingness to use debit cards.

The conceptual framework was developed primarily from the transaction cost economics theory. An in-depth interview method was employed to further support hypothesis development and the development of measurement scales. A structural equation model linking asset specificity, behavioural uncertainty, environmental uncertainty, frequency of payment, perceived monitoring costs, perceived adaptation costs and willingness to use debit cards was tested using data from a sample of 384 Vietnamese debit card holders.

This study's results support the transaction cost economics theory that asset specificity, uncertainty and frequency of payment all positively contribute to the perceived transaction costs associated with debit card usage. However, only environmental uncertainty and perceived adaptation costs have significant negative impact on willingness to use debit cards, with the relationship between environmental uncertainty and willingness to use debit cards being totally mediated by perceived adaptation costs. Moreover, the relationship between perceived adaptation costs and willingness to use debit cards becomes less negative among richer and better-educated cardholders.

The research provides insights into the hidden obstacles for developing cashless economies, thereby supporting policy makers in designing more effective and comprehensive strategies to make debit cards more widely used as a true substitute for cash.

This study provides a new lens in explaining customer willingness to use debit cards, while expanding the transaction costs economics theory by incorporating demographic factors as moderators in the relationship between transaction costs and the card-or-cash choice.

This study aims to assess the relationships among tacit knowledge sharing, mentoring and employees’ abilities in the areas of solving the work problems, adaptation to environments and creation of new innovative ideas.

This study applied quantitative research methods to examine the causal relationships among the key study variables. A questionnaire-based survey developed to evaluate the research model by drawing a convenience sample includes 123 employees working in the selected company headquarters in Jordan. Surveyed data were examined following the structural equation modeling procedures.

Results revealed that tacit knowledge sharing had a positive effect on employees’ abilities in the areas of adaptation to the work environments and creation of innovative ideas, while there was no an affirmative effect on employees’ abilities in the area of solving the work problems. In addition, the study showed that mentoring had a positive effect on employees’ abilities in terms of solving work problems, adaptation to work environments and creation of new innovative ideas. Furthermore, mentoring had mediated the relationship between tacit knowledge sharing and employees’ abilities.

The findings of this study lay a basis for future studies pertain to the effect of tacit knowledge sharing and mentoring on the employees’ abilities as preconditions for improving organizational performance. These findings would be supported by future research studies, the examining of larger samples of pharmaceutical companies to give deeper meanings and more understandings of the relationship, among key study variables. The authors argue that it is useful to expand the current research by conducting future studies, examining the mediating role of other social learning methods such as storytelling and community of practices on relationship between tacit knowledge sharing and employees abilities.

The current research model will assist knowledge managers and practitioners to take serious decisions pertaining employees’ involvement in the process of tacit knowledge sharing and mentoring as preconditions for superior organizational. As well as, it can be a step forward for conducting further research studies on relationships among tacit knowledge sharing, mentoring and employees abilities.

This suggested model may act as a catalyst for continuous improvements to the Jordan pharmaceutical industry in terms of producing high-quality medicines that improve health of humans and the society at large.

Although academic studies on knowledge management showed a positive relationship between tacit knowledge sharing and organizational performance, few studies examined the relationships between tacit knowledge sharing and employees’ abilities as preconditions for superior organizational performance. Furthermore, they ignored to examine the effect of the crucial mediating role of mentoring on the relationship between the two constructs. Therefore, this research tries to fill these gaps appropriately.

The management literature on cross‐cultural adaptation has used a conceptualisation and measurement approach developed by Black and Stephens. Their work has led to significant development in the field. Now it is time to move beyond and use a more refined tool. This paper proposes such a tool and compares its characteristics with those of the older instrument.

The paper is based on a sample of 204 expatriates, who were surveyed using the older and the proposed instrument. It uses confirmatory factor analysis to compare the two instruments. Independent variables include cultural difference and language skills.

This study demonstrates that a more refined measurement of adaptation outcomes, which distinguishes cognitive and affective factors and four non‐work facets, is superior to measurement based on the older instrument. The new scale also provides a case for the improvement of cross‐cultural adaptation theory.

The paper is based on a cross‐sectional sample and sample size is relatively small for confirmatory factor analysis. Additional research is necessary to corroborate the evidence presented here about the superiority of the proposed measure. The paper provides researchers with a new tool for use in cross‐cultural adaptation studies.

The paper describes a new, empirically developed measurement tool for cross‐cultural adaptation.

The aim of this paper is to consider how exploitative and exploratory team processes contribute to adaptive and innovative outcomes. The paper integrates the team learning and team adaptation literature and examines factors that stimulate and support exploitative and exploratory processes in interdisciplinary and homogeneous teams. This has implications for team learning research and facilitation that fosters adaptation and innovation.

The paper reviews how teams learn to be exploitative and exploratory and the extent to which adaptive and innovative outcomes ensue. The paper suggests the value of teams understanding how different conditions (environment, leadership, member characteristics, and team composition) affect team members' interactions as they learn and apply exploitative and exploratory processes to produce adaptive and/or innovative outcomes.

Teams learn frames of reference for being exploitative and exploratory influenced by environmental conditions, leadership, particularly leadership that creates psychological safety, and team member characteristics and team. Interdisciplinary team composition and resulting possible subgroup formation pose challenges for exploitative and exploratory teams.

Future research should study teams over time to observe subgroup formation and integration, and facilitation by leaders, team members, and group dynamics professionals to support exploratory and exploitative frames and the emergence of adaptations and innovations.

Teams may be more successful in implementing innovations when they have learned how to weave between exploratory and exploitative frames of behavior.

The paper applies exploitative and exploratory processes to teams to increase their capacity to produce adaptive and innovative outcomes.