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Teacher agency plays a crucial role in teachers’ professionalism and makes them capable of acting powerfully in their teaching context. The purpose of this study was to explore the role of case-based instruction (CBI) on the agency development of EFL (English as a foreign language) student-teachers.

The study followed a descriptive narrative design and involved ten student-teachers in five CBI sessions. The data collected through different data sources, such as narratives, interviews, recorded sessions and focused groups, were analyzed using a deductive-inductive thematic analysis.

The results showed that CBI has a constructive role in developing the agency of EFL student-teachers. Active participation in CBI sessions helps teachers consider their future desires. The exploration of cases in CBI sessions helps them recall past experiences that led to the development of their agency. Brainstorming ideas in CBI sessions helps teachers consider their beliefs in decision-making and analyze their past experiences. In conclusion, CBI can help develop teacher professionalism and acknowledgment of the importance of teacher agency.

The research has addressed student-teachers’ agency development through an ecological perspective and CBI.

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.

Green buildings have proven to be essential contributors to the sustainability of buildings in the construction industry. However, in developing economies, the rate of green building adoption is slow. Moreover, the factors linked to a relatively slow adoption rarely feature in the literature. This study seeks to bridge the gap by first exploring factors influencing the adoption of green buildings. Second, analysing strategies and preferences determining the adoption of green building principles and lastly, exploring case-based opportunities for their adoption in Tanzania.

Semi-structured interviews were conducted to collect qualitative data from twelve key informants. The qualitative data were analysed using content analysis.

The findings indicate that the most influential factors in green building adoption are related to key organizational decisions. Moreover, social and environmental factors are more related to green building adoption than economic factors. In addition, energy and water efficiency are the most commonly adopted sustainability features, while certified materials, recycling and reusing are rarely implemented.

Since green building adoption is still in its infancy, this study informs policymakers, professional bodies, developers, and researchers of the empirically supported factors for green building adoption. The conclusions can be amplified within the sustainability movement.

This study provides an in-depth understanding of the precursors of green building adoption, which is increasingly becoming a paradigm shift in the construction sector. The study is the first to present an in-depth analysis of the real-life factors influencing the adoption of green buildings in Tanzania.

Waste has been a major challenge in the construction industry. Lean concepts have been adopted in developed nations to overcome waste. However, developing countries are still faced with the challenge due to a lack of strategies for effective lean knowledge by construction practitioners. The purpose of this research is to identify the strategies for lean knowledge in the future Nigerian construction industry.

This was achieved through a case study of a Nigerian university. Assignments and questionnaires were the two instruments used for data collection in the study. Content analysis was adopted to analyse the data obtained from the assignments, while statistical tools such as correlation and ANOVA analysis were used to analyse the questionnaire data.

The findings of the study showed that the introduction of lean theory into students’ academic curriculum, lean practical classes and collaboration between universities, industry and lean construction institutes are some of the critical strategies for adequate lean knowledge in the future Nigerian construction industry.

The study is case-based and focused on a single university. The study did not also put clients’ level of lean knowledge as well as future required acquaintance into consideration.

This study is important as it will enable students to have an adequate understanding of the concept of lean construction right from a higher institution level. This study will enable students to put the knowledge into practice in the construction industry, hence eliminating waste or NVAAs in future construction projects.

The findings of the study could enhance concerted efforts by universities, lean construction institutes and the construction industry towards an intentional and systematic delivery of lean knowledge that will reduce waste in future Nigerian construction projects. Further studies should be carried out to identify the success factors required by clients for effective lean knowledge in construction projects.

This study aims to use the knowledge management perspective to examine the mechanism through which entrepreneurship drives firms’ technological innovation in the digital age. The objective is to develop a multi-stage integrated theoretical model to explain how entrepreneurship exerts its influence on firms’ technological innovation with a particular focus on the knowledge management perspective. The findings can be used for the cultivation of entrepreneurship and for the promotion of continuous technological innovation activities.

This study uses a case-based qualitative approach to examine the relationship between entrepreneurship and technological innovation. The authors first analyze the case of SANY and then explore the mechanism of how entrepreneurship can promote a firm’s technological innovation from the perspective of knowledge management based on the technology-organization-environment framework. An integrated theoretical model is then developed in this study.

Based on a case study, the authors propose that there are three main processes of knowledge management in firms’ technological innovation: knowledge acquisition, knowledge integration and knowledge creation. In the process of knowledge acquisition, the joint effects of innovation spirit, learning spirit, cooperation spirit and global vision drive the construction and its healthy development of firms’ innovation ecosystem. In the process of knowledge integration, the joint effects of innovation spirit, cooperation spirit and learning spirit help complete the integration of knowledge and further the accumulation of firms’ core knowledge resources. In the process of knowledge creation, the joint effects of mission spirit, learning spirit and innovation spirit encourage the top management team to establish long-term goals and innovation philosophy. This philosophy can promote the establishment of a people-oriented incentive mechanism that helps achieve the transformation from the accumulation of core knowledge resources to the research and innovation of core technologies. After these three stages, firms are passively engaged in the “reverse transfer of knowledge” step, which contributes to other firms’ knowledge management cycle. With active knowledge acquisition, integration, creation and passive reverse knowledge transfer, firms can achieve continuous technological innovation.

This study has important theoretical implications in entrepreneurship research. This study helps advance the understanding of entrepreneurship and literature on the relationship between entrepreneurship and technological innovation in the digital age, which can broaden the application of knowledge management theories. It can also help better understand how to develop healthy firm-led innovation ecosystems to achieve continuous optimization of knowledge and technological innovation in the digital age.

This study proposes an integrated theoretical model to address the issues of entrepreneurship and firms’ technological innovation in the digital age, and it is also one of few studies that focuses on entrepreneurship and innovation from a knowledge management perspective.

This study applies complexity theory to propose and empirically examine asymmetric case conditions of antecedents and outcome models of high (low) willingness-to-engage in workplace romance (WEWR). This study focuses on constructing complex antecedent conditions that accurately indicate which employees, and under what conditions, employees are high in WEWR.

Using an experimental design, 162 employees were assigned one of nine hypothetical vignettes describing different workplace romance contexts including three discrete policies regarding workplace romances (i.e. strictly forbidden, moderate, vs no policy), two motivations for the workplace romance (i.e. job vs love), and two organizational positions of the romance (i.e. hierarchical vs lateral). Participants then reported WEWR responses. Participants also provided demographic, behavioral, and psychological work-related information. This study assesses and supports recipes (i.e. algorithms) of case and organizational structure conditions to identify cases high (low) in WEWR accurately and consistently.

The results provide clarity of which and when employees are willing vs unwilling to engage in workplace romances – and the contextualized impacts of organizational bans on WEWR. The study’s results are useful for estimating for whom specific workplace policies are effective or not by specific workplace contexts.

In highlighting the role of varying antecedent conditions in predicting WEWR, this research will assist organizations and practitioners in understanding the context in which workplace romances are more likely to occur, providing insight as to when employees are likely to comply with workplace romance policies.

This paper is the first in the workplace romance literature to examine unique combinations of antecedent conditions on WEWR, adding nuance to the current understanding of the behavior.

Bank–fintech associations are significant globally, establishing purposeful eco-systems towards extending and complementing capabilities, reach and customer experiences. This paper aims to explore 39 leading fintechs in India catering across payments, lending, wealth management, regulation, neo-banks and other banking functions. Alongside fintechs, the research studies 19 leading banks (public and private) to understand the nature of bank–fintech associations in the Indian context.

The research focuses on narratives from leading banks and top fintechs in India, captured from public disclosures and leadership interviews. The study leverages qualitative research techniques, including grounded theory approaches of inductive analysis, to codify interview and narrative observations to discover relevant objectives, scenarios, challenges and outcomes in India-centric bank–fintech associations.

Bank–fintech associations in India are increasingly focusing on financial services portfolio diversification and improvement in customer experience. Simultaneously, both banks and fintechs, differentiate with innovations and extend offerings to target underserved customer segments. The associations are beneficial for both banks and fintechs in transforming offerings and improving efficiency, scale across channels. Through codification of observations, review of existing literature and evaluation of best practices, alongside subject matter expertise, the study evolves a generalized “Association Model”. The model can steer meaningful bank–fintech associations in India and globally. The association model relates to observables like objectives, enablers of bank–fintech associations, challenges and association-driven value outcomes. Built from study of practices, the proposed model is relevant for strategic orientation in bank–fintech associations.

The findings reveal practices in bank–fintech associations in India with significant learning opportunity for organizational leaders globally. Understanding the nature of association is relevant for strategic interventions, particularly in scenarios of inter-organization collaborations. Central banks, policymakers, governments, investors, banks and fintechs can use the derived association model to establish, govern and steer purposeful value-driven associations.

This article sheds light on the missing links concerning the study of using integrated enabling technologies toward sustainable and circular agriculture supply chains by examining the available literature and proposing future research possibilities.

The relevant literature was researched through online databases such as Scopus, Web of Science, Academic Search Premier, Emerald, IEEE Xplore, Science Direct, World Scientific Net and Springer-Link Journals, covering a period from 1999 to 2020. A systematic literature review based on 75 papers analyzed the integration of the concepts of enabling technologies, sustainability, circular economy and supply chain performance in agriculture supply chains.

It was identified that enabling technologies and agriculture supply chains alone have been explored further than integrated enabling technologies, sustainability, circular economy, supply chain performance and agriculture supply chains. Enabling technologies and agriculture supply chains' main findings are: enabling technologies have been studied to improve food safety, food quality and traceability in agriculture supply chains. The main results regarding integrated enabling technologies, sustainability, circular economy, supply chain performance and agriculture supply chains are: Internet of Things and information communication technology play an important role in addressing food security, traceability and food quality, which help achieve sustainable development goals.

This review study provides 13 research questions to underpin future trends regarding integrated technologies' application in agriculture supply chains for circular and sustainable growth.

The study aims to explore the role of stakeholder engagement for the sustainability materiality assessment process.

The study develops a qualitative research approach based on a single case study. Triangulated data was collected from semi-structured interviews, sustainability reports and archival materials, and was analysed with a combined top-down and bottom-up coding procedure to generate explanatory categories.

The findings show that stakeholder engagement and sustainability materiality assessment are interconnected. Furthermore, the study highlights a circular perspective facilitated by three iterative mechanisms: sustainability interdisciplinarity, sense of belonging and cultural mindset.

Despite the extensive knowledge of stakeholder engagement regarding the practices and advantages, the understanding of its interplay with sustainability materiality assessment over time remains limited. Consequently, the research analyses the reciprocal relationship between stakeholder engagement and sustainability materiality in a circular way.

The outset of the COVID-19 pandemic caused disruptions of all forms in the supply chain globally for almost two and a half years. This study identifies various challenges in the effective functioning of the existing supply chain during COVID-19. The focus is to see the disruptions impacting the energy storage supply chains.

The procedure entails a thorough analysis of scholarly literature pertaining to various supply chain interruptions, confirmed and verified by experts working in an energy storage company in India. These experts also confirmed the occurrence of more disruptive factors during their interviews and questionnaire survey. Moreover, this process attempts to filter out the relevant causal disruption factors in an energy storage company by using the integrated approach of qualitative and quantitative methodologies.

The results provide practical insights for the company management in planning and devising new strategies to manage supply chain disruptions. Supply chains for companies in other industry sectors can also benefit from the proposed framework and results in making them more robust to counter future disastrous events.

The study provides an easily adaptable decision framework to different industries by closely examining supply chain disruptions and identifying associated causes for building a robust supply chain focused on the energy storage sector. It examines four disruption dimensions and investigates possible outcomes and impacts of disruptions.