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This chapter explores methodological aspects of designing a qualitative multi-case research study to examine the issues of citizen participation, new democratic forms of planning, and community tourism planning. The study discussed below took place during the months of June 2007–March 2008 in three North American communities – two in the United States and one in Canada. The purposes of the study were to compare and contrast the current practices of citizen involvement in community tourism planning with the framework of deliberative democracy, to expand the literature on tourism planning, and to contribute to the development of a model of participatory community tourism planning to be adopted by communities and planners pursuing tourism as a development tool. This chapter focuses on methodological intricacies of designing a qualitative multi-case research study, those wishing to explore the project more are referred to Grybovych (2008).

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 explores the influencing factors on organizational efficiency of the smart logistics ecological chain, and designs the corresponding theoretical framework to guide the practice of enterprises

A multi-case study method is adopted in this study. It includes four companies A, B, C and D in China as the case study objects, collects data through enterprise survey and uses the combination of open coding and spindle coding to process the data. By testing the reliability and validity, the theoretical framework is summarized.

First, organizational efficiency in smart logistics ecological chains is directly related to their service and technology innovation capability. Second, symbiotic relationships, information sharing and customer demand affect the efficiency of smart logistics multi-case ecological chains by influencing their service capacity; their technological innovation capability regulates the mechanism of influence. Third, technological innovation in smart logistics ecological chains positively impacts their service capabilities. Improving technological innovation capability can enhance logistics service capabilities.

According to the characteristics of smart logistics, the theoretical framework about organizational efficiency of smart logistics ecological chain is constructed, which fills the research gap and can provide interesting perspectives for the future research related to the smart logistics ecological chain. At the same time, the findings can also help enterprises to better build the smart logistics ecological chain in practice.

The purpose of this paper is to analyze the influencing factors of new logistics service product design (NLSPD) in China to establish a theoretical framework for the future development of the logistics industry.

The paper adopts the multi-case study method based on a sample of four Chinese logistics enterprises, in which the authors consider the logistics service maturity (LSM), a distinct characteristic of logistics enterprises.

NLSPD is directly related to the degree of supply–demand matching (SDM) and LSM. Customer demand, service capability and peer competition influence the performance of NLSPD through the SDM degree, whereas LSM moderates these influencing mechanisms. Moreover, the degree of SDM has a positive impact on LSM.

The findings can help the managers of logistics enterprises and practitioners in the logistics industry understand the complexity of NLSPD. First, they should broaden and deepen their service offering to enhance the degree of LSM. Second, they should pay attention to the factors that affect SDM systematically. Finally, it is vital to balance the relationship between LSM and SDM.

NLSPD has become an important tool affecting the competitiveness and sustainability of logistics service enterprises. This is the first paper to propose a theoretical framework for NLSPD that considers the characteristic of the logistics industry. It clarifies the mechanisms of influencing factors, and contributes to the literature by filling the research gap.

This study explores the influencing factors affecting smart supply chain innovation (SSCI) performance of commodity distribution enterprises, and proposes the corresponding framework from the perspective of the application of technology to improve the SSCI performance and make up the research gap in this field.

A multi-case study method is adopted in this study. Four distribution commodity distribution enterprises A, B, C and D in China are chosen as case enterprises. The interviews with senior management team members are used to collect data. The combination of open coding and axial coding are used to process the data. By testing the reliability and validity, the theoretical framework is summarized.

First, we find that the technology application cost inhibits SSCI and that the level of technology suitable for enterprise development will promote SSCI. Second, SSCI in structure, management and services can improve the performance and innovation ability of enterprises. Third, the quality of multi-channel integration and degree of customization around customer demand can significantly modify the above effects.

Compared with previous studies, this study reveals for the first time the correlation between the SSCI performance and technology application, SSCI in structure, management and service, providing new ideas for relevant researches on SSCI, and providing new theoretical support for managers' decision-making related to SSCI.

The purpose of this paper is to explore the coaching and mentoring supervision of the Lesson Study to enhance preservice mathematics teachers' research competencies.

The researcher employed a multi-case study design to describe the internship experiences of practicing coaching and mentoring supervision while preservice teachers engaged in Lesson Study. A total of six preservice teachers were the samples, and they were teaching six lessons. A classroom observation evaluation form was used to collect data from 60 observers, with a proportion of 10 observers to each sample to assess and provide feedback on the samples' research competencies. This was followed by 12 individual, semi-structured interviews using interview protocol. The participants included 60 Lesson Study group members and six mentors from the three research schools, together with the samples' internship advisors from Suratthani Rajabhat University, totaling to 72 assessors. Data were examined using the thematic analysis method.

The results of 60 observation evaluations revealed that coaching and mentoring supervision of Lesson Study can develop samples' research competencies in four capabilities, namely, instructional planning, classroom management, instructional delivery and professional development. The 12 interview results indicated that the six samples' research competencies were improved in these four aspects, namely, data collection and analysis, collaboration, reflection and pedagogical content knowledge.

Mentoring and coaching supervision of Lesson Study holds great potential for collaborative professional development and continuous improvement of mathematics teachers' research competencies.

This article suggests meaningful professional benefits of participation in mentoring and coaching supervision.

Corporate universities are regarded as the knowledge management institution of enterprises, but how to improve knowledge enhancement function has not been investigated. Constructed upon the knowledge-based view, the purpose of this study is to investigate the influencing factors of knowledge enhancement of corporate universities.

This paper takes 34 Chinese corporate universities as samples. The influencing factors and interrelationships are checked through exploratory case study and multi-case analysis. A “stimulate-action” model of influencing factors is built up based on the multi-case analysis. The fuzzy set qualitative comparative analysis is used to examine configurational paths for knowledge enhancement.

The research finding shows that only a single element of knowledge management does not constitute a necessary condition for knowledge enhancement of corporate university and explored the concurrent synergy effect and linkage matching mode of multiple conditions of knowledge management. Most of the knowledge-enhanced corporate universities are of strengthening the knowledge process, which shows that sorting out the knowledge process is the core of the corporate university.

Unlike the existing research, the external teachers and combing of external knowledge processes are the key factors; this paper proposed that the internal teachers and sorting out the knowledge process within the enterprise play a central role in the knowledge enhancement of corporate universities. The path of high-knowledge enhancement and without high-knowledge enhancement is asymmetry. This paper refined and extended the application of the knowledge management framework in explaining multiple conjunctural causations and improves the relevant theories of organizational knowledge management in the Chinese context.

Know your customer (KYC), accounting standards, issuance, clearing, and trade settlement became the major barrier to implement accounting, accountability and assurance process in supply chain finance (SCF). Blockchain technology features have the potential to solve accounting problems. This research focuses on exploring how blockchain technology provides solutions to overcome the barriers of accounting process in SCF. The benefits, opportunities, costs and risks related to blockchain adoption are also explored.

Multi-case study and qualitative methods are used with a framework based on blockchain role to overcome the accounting process barriers. Ten blockchain projects in SCF and 29 interviews of participants as a unit of analysis are considered.

The findings indicate that blockchain technology offers solutions to solve accounting, accountability and assurance problems in SCF. Validity, verification, smart contracts, automation and enduring data on trade transactions potentially solve those barriers. However, it is also necessary to consider costs such as implementation, technology, education and integration costs. Then there are possible risks such as regulatory compliance, operational, code development and scalability risk. This finding reflects the current status of blockchain technology roles in SCF.

This study unveils blockchain's SCF accounting potential, emphasizing multi-case method limitations and future research prospects. Diverse contexts challenge findings' applicability, warranting cross-industry studies for deeper insights. Addressing selection bias and integrating quantitative measures can enhance understanding of blockchain's accounting impact.

Accounting professionals can get an idea of the future direction and impact of blockchain technology on accounting, accountability and assurance processes.

This study provides initial findings on the potential, costs and risks of blockchain that is beneficial for parties involved in SCF, especially for banks and insurance underwriters. In addition, the findings also provide direction for the contribution of blockchain technology to accounting theory in the future.

The purpose of this paper is to investigate and identify the activity systems that drive building information modelling (BIM) business value in asset management (AM). The utilisation of BIM has widened in scope, functionality, flexibility and interoperability to support the AM business process. However, research concerning BIM business value in AM has been inadequate despite its considerable potential and significance in the attainment of organisational objectives. The realisation of BIM business value requires a concerted effort by the asset owner to be able to determine and appraise the critical activities that drive business value in AM.

The study adopted a qualitative research approach based on a multi-case study strategy that aimed to identify the key business processes that drive BIM business value in AM. The study involved a three-stage research design using interviews and document analysis to facilitate a cross-case analysis from the perspective of the activity systems and dimensions of BIM governance.

The paper identified six critical activity systems that drive BIM business value for an asset owner: BIM strategy, contract management, lifecycle management, maintenance management, work-order management and value realisation management. The study found that the most developed activity system is the BIM strategy, and the least is value realisation management across all cases. Also, the paper points out that the most proficient BIM governance dimension is process, and the least is people across the three cases. The study noted that the ability of an asset owner to realise BIM business value has maturity undertones and that the asset owner could derive BIM business value, if the six activity systems are effectively executed and continuously improved to an advanced stage of maturity.

An original contribution of the study is the development of the understanding of asset owners in relation to the discovery of key activity systems that drive BIM business value in AM. Another significant contribution of this paper is the demonstration of a novel approach to evaluate organisational maturity of asset owners from the perspectives of the activity systems and BIM governance dimensions of people, process and technology.

The research examines how contextual coaching (Gorrell and Hoover, 2009; Valentine, 2019) can act as a lever to build collaborative professionalism (Hargreaves and O'Connor, 2018) and lead to school improvement.

The multi-case study (Stake, 2013) draws on two bespoke examples of contextual coaching in education and uses the ten tenets of collaborative professionalism as a conceptual framework for its abductive analysis. Data from both cases were collected through interviews, focus groups and documentation.

The findings demonstrate that effective contextual coaching leads to conditions underpinning school improvement. Specifically, there are patterns of alignment with the ten tenets of collaborative professionalism. Whereas contextual coaching is found on four of these tenets (mutual dialogue, joint work, collective responsibility and collaborative inquiry), in more mature coaching programmes, three others (collective autonomy, initiative and efficacy) emerge. There is also evidence that opportunities exist for contextual coaching to be further aligned with the remaining three tenets. The study offers insight into how school improvement can be realized by the development of staff capacity for teacher leadership through contextual coaching.

The impact of coaching in education is enhanced by recognizing the importance of context and the value of iterative design and co-construction.

The principles of contextual coaching are generalizable, but models must be developed to be bespoke and to align with each setting. Collaborative professionalism offers a useful framework to better design and implement contextual coaching programmes.

The research introduces contextual coaching in education, and how coaching can enhance collaborative professionalism in schools.