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Traditional case-adaptation methods have poor accuracy, low efficiency and limited applicability, which cannot meet the needs of knowledge users. To address the shortcomings of the existing research in the industry, this paper proposes a case-adaptation optimization algorithm to support the effective application of tacit knowledge resources.

The attribute simplification algorithm based on the forward search strategy in the neighborhood decision information system is implemented to realize the vertical dimensionality reduction of the case base, and the fuzzy C-mean (FCM) clustering algorithm based on the simulated annealing genetic algorithm (SAGA) is implemented to compress the case base horizontally with multiple decision classes. Then, the subspace K-nearest neighbors (KNN) algorithm is used to induce the decision rules for the set of adapted cases to complete the optimization of the adaptation model.

The findings suggest the rapid enrichment of data, information and tacit knowledge in the field of practice has led to low efficiency and low utilization of knowledge dissemination, and this algorithm can effectively alleviate the problems of users falling into “knowledge disorientation” in the era of the knowledge economy.

This study provides a model with case knowledge that meets users’ needs, thereby effectively improving the application of the tacit knowledge in the explicit case base and the problem-solving efficiency of knowledge users.

The adaptation model can serve as a stable and efficient prediction model to make predictions for the effects of the many logistics and e-commerce enterprises' plans.

This study designs a multi-decision class case-adaptation optimization study based on forward attribute selection strategy-neighborhood rough sets (FASS-NRS) and simulated annealing genetic algorithm-fuzzy C-means (SAGA-FCM) for tacit knowledgeable exogenous cases. By effectively organizing and adjusting tacit knowledge resources, knowledge service organizations can maintain their competitive advantages. The algorithm models established in this study develop theoretical directions for a multi-decision class case-adaptation optimization study of tacit knowledge.

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.

This study provides a comprehensive framework of adaptation in triadic business relationship settings in the service sector. The framework is based on the industrial network approach (see, e.g., Axelsson & Easton, 1992; Håkansson & Snehota, 1995a). The study describes how adaptations initiate, how they progress, and what the outcomes of these adaptations are. Furthermore, the framework takes into account how adaptations spread in triadic relationship settings. The empirical context is corporate travel management, which is a chain of activities where an industrial enterprise, and its preferred travel agency and service supplier partners combine their resources. The scientific philosophy, on which the knowledge creation is based, is realist ontology. Epistemologically, the study relies on constructionist processes and interpretation. Case studies with in-depth interviews are the main source of data.

Achieving sustainable development in the twenty‐first century will be won or lost in the world's urban settlements, informed adaptation of existing stock is vital. Local Authorities are encouraging adaptation to reduce building related carbon emissions. The City of Melbourne aims to retrofit 1,200 central business district (CBD) properties by 2020 to become carbon neutral. As Australian cities date from the early 1800s and the adaptation of buildings is not as entrenched as in Europe, there is a pressing need for greater knowledge of what happens to buildings over time. The purpose of this study is to examine building adaptation from 1998 to 2008. This paper concentrates on the question; what is the pattern of adaptation within premium grade office buildings over time?

Using the Melbourne CBD as a case study, the research analysed all commercial building adaptations. After a uni‐variate statistical analysis of all premium office adaptations, two case studies were selected and profiled to discover what happened to them during the period and to ascertain what may be learned as a result to inform future adaptation strategies and policies.

This research has established that there is a high rate of adaptations to existing commercial buildings which leads to the disposal of functional and serviceable fixtures and fittings to landfill sites. This practice results in the unnecessary loss of embodied carbon which compromises efforts to deliver carbon neutrality in its widest sense. In the short term we need to learn to take advantage of existing behaviour patterns in respect of adaptation and to learn how buildings adapt and to incentivise the needed behavioural changes.

The selection of case studies allowed an examination of the data at a deeper level, though it is acknowledged that the depth does not equal that achieved in a purely qualitative approach whereby stakeholders are interviewed or surveyed directly and this is a limitation of the approach.

This research is based on an analysis of all adaptation activity within a distinct geographical area over an extended period of time. The analysis shows what does happen to a defined sector of the stock; in this case premium office property and highlights the types and patterns of adaptation as buildings evolve through their lifecycles.

The sharing economy (SE) is significantly affecting traditional companies, which have felt a need to adapt their business model. The aim of this study is to identify the different types of adaptation developed by companies within a SE context, and to examine how they relate to their characteristics.

A content analysis involving 149 real-world adaptation cases was carried out, after which a Kruskal–Wallis test and a multiple correspondence analysis were used to explore the relationships between the types of adaptation identified, the business characteristics and the strategic decisions taken for these adaptations.

Through the analyses proposed in the study, the main conclusions suggest that the way companies adapt to SE is related to business characteristics and the strategic decisions taken for these actions, demonstrating throughout the article what types of adaptations are made depending on variables such as sector of activity or business orientation.

This study is the first to examine the variables affecting the decisions among traditional companies in response to the SE. In addition, this work explores the SE from the business point of view, shedding light on the participation in SE by traditional companies.

共享經濟現時正顯著地影響著感到需要改變它們的商業模式的傳統公司。本文旨在確定在共享經濟的背景裡, 公司為適應有關的環境而進行的各種改變; 研究亦擬探討這些改變與公司特徵之間的關係。

研究人員對149個真實世界的改變個案進行內容分析, 繼而進行克拉斯卡 - 瓦立斯檢定 (Kruskal-Wallis test) 和多重應對分析 (Multiple Correspondence Analysis) , 以探究被確定的改變的種類、企業的特徵與採用這些改變的策略性決策之間的關係。

研究人員、透過本研究建議的分析取得結論; 主要的結論似顯示、企業為應對共享經濟所作的改變、與它們的企業特徵和採用哪些行動的策略性決策是有關聯的。整篇論文, 顯示了企業所採用的改變種類、均取決於像活動領域和企業經營理念等的變數。

本研究為首個研究、去探討影響傳統公司回應共享經濟所作的決策的變數。再者, 本研究探究了以商業理念的觀點來考慮的共享經濟, 這使我們更容易理解傳統公司參與共享經濟的課題。

The paper aims to describe and develop the constructs of trust and adaptation in supplier‐customer relationships when associated with environmental (green) issues.

The study is based on empirical data obtained from the perspective of both supplier and customer companies involved in dyadic exchange relationships, using qualitative methods of data collection and analysis.

The paper uses an environmental context to show that, while having the potential to contribute to trust in dyadic relationships, adaptation can also undermine the trust that already exists between supplier and customer companies.

The findings are derived from two instances of successful environmental adaptation, one that resulted in failure and two that were ongoing. Both of the completed projects demonstrated little apparent difficulty, while the ongoing projects featured some conflict and frustration. These differences could be explained by the tendency to rationalise events after they have occurred, eliminating the “messiness” that is inherent in dealing with collaborative efforts that involve some risk and conflicting interests. Future empirical work could perform action research in which efforts to adapt are directly observed and are discussed both during and after attempts to bring about change.

The paper provides recommendations of how environmental adaptations can be realised successfully even though changes might challenge the basis of an existing relationship and the trust that might already exist within it. These recommendations might equally be used to guide other forms of adaptation.

The paper broadens understanding of trust and adaptation by looking at a management issue that is of growing importance in supplier‐customer relationships, namely the environmental impact of business activities.

This paper aims to identify problems caused by cultural differences between Japan and China that face supply chain managers by applying Japanese-style supply management practices within supply networks in China and present solutions to this problem.

A single, longitudinal case study conducting two waves of data collection (i.e. interviews and observation) plus the collection of much archival data was performed. It goes beyond the dyad by examining supply management of a Japanese company’s supply chain up to three tiers in China.

The four supply cultural differences between Japan and China, which caused the cultural clashes between JVCo and some of its suppliers were revealed and a model of adaptation of Japanese supply management to the Chinese business system was developed. Adaptation involves creating new supply management practices out of selective adaptation, innovation and change of existing Japanese and Chinese supply management practices rooted in different Japanese, Chinese and Western cultures. A list of organisational factors affecting the adaptation has also been provided.

Due to the adoption of a single case study method, caution should be given to generalising the findings to all Japanese firms.

The Japanese, Chinese and Western managers were provided with insights on how to mitigate the problems caused by cultural differences within supply relationships in China and some innovative ideas on how managers from all three cultures could blend the elements of the three cultures to form a hybrid culture and reduce cultural clashes.

This is one of the few attempts to study the transfer of Japanese supply management practice to China. Organizational theory (i.e. transfer of organizational practice and hybridization) is applied and provides a robust framework to explain the supply management practice. This study also answers the call for a global supplier relationship management paradigm.

Competitive success in business‐to‐business markets often depends upon the ability of the firm to adapt specifically to the needs of a single customer organization. Research into buyer‐seller relationships in industrial markets has shown that both buying and selling firms implement specific adaptations for a single partner. Adaptation can take place at the level of the product or more broadly in terms of management processes, information exchange, and even organizational restructuring. The paper develops an improved taxonomy for dyadic adaptation in business‐to‐business markets, and explores the driving forces behind relationship‐specific adaptation. Adaptation by supplier firms is found to be more frequent than adaptation by buyers. Supplier adaptation is driven by relative power, buyer support, and by the managerial preferences of the two firms for a more or less relational form of exchange. Several managerial implications and avenues for further research are discussed.

In recent years, the manifestation of the effects of climate change in coastal zones has prompted governments to mobilize and propose adaptation measures to reduce the vulnerability of their populations. For the governments responsible for the implementation of climate policies, adaptation still represents a novel field of action. The purpose of this paper is to show, via the example of Quebec’s coastal zone, how the transformation of public action relating to adaptation remains difficult.

For this case study, a qualitative method which combines documentary analysis and semi-directed interviews was selected.

The study shows how adaptation becomes a new issue in public action for the different authorities dealing with the effects of climate change in Quebec’s coastal zone. However, the results show that, as with other public policies, path dependence and incrementalism can be observed and limit the scope of public action and of the transformational processes in the field of adaptation. The technical–scientific approach to risk management is dominant, and the adaptation is not approached in a transversal way, despite its importance. Finally, concrete adaptation initiatives appear to be mostly relegated to the local scale, in an informal decentralization process.

This study contributes to improve climate action by favouring a reflection on the consideration of the conceptual and theoretical framework in the climate change adaptation literature and offers decision-makers and practitioners keys to the understanding of mechanisms underlying public action in the field of adaptation.

A global pandemic, broken supply chains, workforce constraints, technological advancements in artificial intelligence, etc. illustrate the continual threats that SMEs face. Extending the dynamic capability concepts of sensing, seizing and transforming, this research investigates practices by which SMEs successfully adapt over time.

A comparative case study method was employed using a purposive sample of SMEs, consisting of three American firms and one Canadian firm.

Three sets of organizational practices, termed adaptive practices, that underlie dynamic capabilities for successful adaptation were identified: (1) continuous learning and process improvement, (2) leveraging reciprocal relationships and (3) communicating effectively.

The selected cases are from two countries in North America. Using a qualitative, inductive process, the authors are able to identify patterns of actions within various organizations; however, they are not able to establish causality.

This study provides practical guidance for leaders to take action to improve their SME's dynamic capabilities for adaptation through creating coherent bundles of specified adaptive practices.

Better understanding of how SMEs successfully adapt to high uncertainty and business viability threats can result in multidimensional (e.g. financial, emotional) and multi-level (individual, family, community), positive outcomes for societal stakeholders.

The findings of this study build on the literature of dynamic capabilities and organizational practices and provide a practical foundation for effective adaptation, labeled as adaptive practices.