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Article
Publication date: 27 February 2024

Jianhua Zhang, Liangchen Li, Fredrick Ahenkora Boamah, Dandan Wen, Jiake Li and Dandan Guo

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Social implications

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.

Originality/value

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.

Details

Journal of Advances in Management Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0972-7981

Keywords

Content available

Abstract

Details

South Asian Journal of Business Studies, vol. 12 no. 3
Type: Research Article
ISSN: 2398-628X

Article
Publication date: 8 June 2023

Jianhua Zhang, Liangchen Li, Fredrick Ahenkora Boamah, Shuwei Zhang and Longfei He

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.

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Social implications

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

Originality/value

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.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 15 June 2023

Scott M. Andrews

This research paper takes an interdisciplinary approach, drawing from empirical data, to explore the relationship between organisational change management and strategic leadership…

1011

Abstract

Purpose

This research paper takes an interdisciplinary approach, drawing from empirical data, to explore the relationship between organisational change management and strategic leadership to promote growth in value-driven, membership-based organisations through a qualitative multi-case-based analysis and to provide a discussion on the philosophies and practices of leadership teams which underpin successful organisational change within such not-for-profit organisations.

Design/methodology/approach

Each participating organisation had 700+ members, had previously experienced prolonged periods of auditable membership growth and employed distinctly different organisational models to facilitate growth. A qualitative multi-case study approach was adopted informed by 32 interviews with eight leadership teams. A thematic analysis provided a comparative review of responses.

Findings

All case study organisations emphasised the significance of strategic leadership teams and clearly communicated vision and flexible organisational structures as central to their strategic planning and subsequent growth. This builds on previous research which has explored organisational change in not-for-profit organisations and strategic leadership in not-for-profit organisations, which explores the strong linkages between the roles and functions of strategic leadership, organisational structures designed with the adaptive capacity to manage continuous and convergent change and their impact on sustained growth. Such linkages are more specifically supported by extended tenure of office for those in senior leadership roles, clear delineation of roles and responsibilities, the adoption of an outward growth-oriented focus and adaptable structures that encourage wider participation in leadership and management functions for the fulfilment of the organisation's mission. Most significantly, these organisations plan with change and growth in mind.

Practical implications

The findings of this research have transferable value to other not-for-profit, membership-based, value-driven organisations as well as other faith-based organisations, which will help to provide future linkages between leadership structures, decision-making and organisational design and its impact on the not-for-profit organisations' capacity for sustained growth.

Originality/value

This research challenges previous conceptions on UK church growth trends and observes that all the case organisations presented different organisational structures which were intentionally designed, context specific and developed by leadership teams with sustained growth in mind. Results from psychometric testing of participants confirmed that senior leaders of large value-driven organisations that have demonstrated a capacity for sustained growth are consistently likely to exhibit leadership characteristics which demonstrate a balanced capacity for personal humility and a committed resolve or professional will, which is also reflected in a pragmatic-type leadership style, building on previous psychometric testing research in this context.

Details

Journal of Organizational Change Management, vol. 36 no. 4
Type: Research Article
ISSN: 0953-4814

Keywords

Article
Publication date: 18 July 2022

Shikha Singh, Smriti Singh and Subhas C. Misra

Many organizations failed to generate profits after investing considerable money and time in Enterprise Resource Planning (ERP) systems. This study, therefore, sought to identify…

1153

Abstract

Purpose

Many organizations failed to generate profits after investing considerable money and time in Enterprise Resource Planning (ERP) systems. This study, therefore, sought to identify the challenges encountered by pharmaceutical firms during the post-implementation of ERP systems.

Design/methodology/approach

A case-based study followed by general survey-based research was carried out in pharmaceutical firms to determine the critical post-implementation challenges of ERP systems. DANP (DEMATEL-based ANP) and Wilcoxon Signed Rank test were used to find the causal/critical challenges and rank them.

Findings

After analyzing a pharmaceutical case company and conducting a general survey among pharmaceutical companies, statistical analysis was performed to identify the most significant challenges, namely, “Inefficient troubleshooting mechanism”, “Lack of training during post-implementation stage” and “Difficulty in identifying invalid data when entered into the ERP system”. Furthermore, organization-wide challenges are considered to be the most important.

Practical implications

The paper identifies the challenges faced during the post-implementation phase of ERP systems. This work brings out the issues with ERP systems' performance after their implementation, which is related to the quality of the ERP systems. This work will support the risk identification and mitigation during ERP implementation to eradicate the problems after its implementation. This work may trigger the ERP system developers to improve its features and performance for better manufacturing and supply chain management system in pharmaceutical firms.

Originality/value

This study is uniquely conducted in pharmaceutical firms to study the benefits and challenges of adopted ERP systems. A pilot case study served as the foundation for the generalizability of other pharmaceutical firms' findings through a non-parametric test.

Details

International Journal of Quality & Reliability Management, vol. 40 no. 4
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 29 December 2023

Dara Sruthilaya, Aneetha Vilventhan and P.R.C. Gopal

The purpose of this paper is to identify and analyze the interdependence of project complexity factors (PCFs) in metro rail projects using the Decision-Making Trial and Evaluation…

Abstract

Purpose

The purpose of this paper is to identify and analyze the interdependence of project complexity factors (PCFs) in metro rail projects using the Decision-Making Trial and Evaluation Laboratory (DEMATEL). The study provides qualitative and quantitative analysis of project complexities factors and their relationships. The results of the study facilitate effective project planning, proactive risk management and informed decision-making by stakeholders.

Design/methodology/approach

This study employs a case-based method for identifying PCFs and a DEMATEL method for analyzing the interdependence of complexity factors in metro rail projects. Initially, PCFs were identified through an extensive literature review. To validate and refine these factors, semi-structured interviews were conducted with thirty experienced professionals, each having 5–20 years of experience in roles such as project management, engineering, and planning. Further, elevated and underground metro rail projects were purposefully selected as cases, for identifying the similarities and differences in PCFs. A questionnaire survey was conducted with various technical experts in metro rail projects. These experts rated the impact of PCFs on a five-point Likert scale, for the evaluation of the interdependence of PCFs. The DEMATEL technique was used to analyze the interdependencies of the PCFs.

Findings

Metro rail projects are influenced by project complexity, which significantly impacts their performance. The analysis reveals that “design problems with existing structures,” “change in design or construction” and “land acquisition” are the key factors contributing to project complexity.

Originality/value

The study of project complexity in metro rail projects is limited because most of the studies have studies on examining complexity in mega projects. The existing literature lacks adequate attention in identifying project complexity and its effects on metro rail project performance. This research aims to bridge this gap by examining project complexity and interdependencies in metro rail projects.

Details

Built Environment Project and Asset Management, vol. 14 no. 2
Type: Research Article
ISSN: 2044-124X

Keywords

Article
Publication date: 12 July 2023

Frank Victor Mushi, Huba Nguluma and Jacob Kihila

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…

Abstract

Purpose

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.

Design/methodology/approach

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

Findings

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.

Practical implications

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.

Originality/value

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.

Details

International Journal of Building Pathology and Adaptation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-4708

Keywords

Open Access
Article
Publication date: 23 February 2024

Vanessa Honson, Thuy Vu, Tich Phuoc Tran and Walter Tejada Estay

Large class sizes are becoming the norm in higher education against concerns of dropping learning qualities. To maintain the standard of learning and add value, one of the common…

Abstract

Purpose

Large class sizes are becoming the norm in higher education against concerns of dropping learning qualities. To maintain the standard of learning and add value, one of the common strategies is for the course convenor to proactively monitor student engagement with learning activities against their assessment outcomes and intervene timely. Learning analytics has been increasingly adopted to provide these insights into student engagement and their performance. This case study explores how learning analytics can be used to meet the convenor’s requirements and help reduce administrative workload in a large health science class at the University of New South Wales.

Design/methodology/approach

This case-based study adopts an “action learning research approach” in assessing ways of using learning analytics for reducing workload in the educator’s own context and critically reflecting on experiences for improvements. This approach emphasises reflexive methodology, where the educator constantly assesses the context, implements an intervention and reflects on the process for in-time adjustments, improvements and future development.

Findings

The results highlighted ease for the teacher towards the early “flagging” of students who may not be active within the learning management system or who have performed poorly on assessment tasks. Coupled with the ability to send emails to the “flagged” students, this has led to a more personal approach while reducing the number of steps normally required. An unanticipated outcome was the potential for additional time saving through improving the scaffolding mechanisms if the learning analytics were customisable for individual courses.

Originality/value

The results provide further benefits for learning analytics to assist the educator in a growing blended learning environment. They also reveal the potential for learning analytics to be an effective adjunct towards promoting personal learning design.

Details

Journal of Work-Applied Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2205-2062

Keywords

Article
Publication date: 7 December 2023

Adefemi Aka, Abubakar Danladi Isah, Olusegun Idris Salisu and Abdulkabir Opeyemi Bello

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 20 September 2022

Arpit Singh, Vimal Kumar, Pratima Verma and Bharti Ramtiyal

With increasing pressure from the government and private sectors to be more environmentally and socially responsible, sustainable supplier selection has gained enormous currency…

Abstract

Purpose

With increasing pressure from the government and private sectors to be more environmentally and socially responsible, sustainable supplier selection has gained enormous currency in recent times. Particularly, in the case of the construction industry, owing to a large amount of industrial wastage generated and extreme workplace conditions, it is even more important to devise strategies to mitigate the harmful consequences. The most crucial step in this regard is the selection of sustainable suppliers that acquire a pivotal position in the supply chain ecosystem. This study aims to identify indicators for three criteria such as economic, environmental and social, and prioritize them according to their level of significance for sustainable supplier selection in the Indian construction industry.

Design/methodology/approach

In this study, the best-worst method (BWM) is presented for sustainable supplier selection in Indian construction organizations. Total of 27 indicators was identified for the three criteria of the triple bottom line (TBL) approach namely economic, environmental and social. Using BWM, the most important criterion was found and subsequently, all the indicators under each criterion were ranked in order of importance.

Findings

The analysis revealed that the environmental criterion was the most important criteria in the sustainable supplier selection followed by the economic criteria. The indicators that were the most influential in the effective selection process were “Usage of recyclable raw materials for production”, “Adoption of clean and green technologies”, “Waste management” and “Periodical environmental audits” under the environmental criteria; “Efficiency”, “Cost” and “Flexibility and Scalability” from the economic criteria; and “Safety programs” and “Information disclosure” in the social criteria.

Research limitations/implications

The study provides a reference framework for the selection of sustainable suppliers in construction organizations. The findings can also be used for the assessment of suppliers' performance in the supply chains.

Originality/value

The novelty of this work lies in its attempt to model the performance of suppliers in the Indian construction supply chains.

Details

Management of Environmental Quality: An International Journal, vol. 34 no. 4
Type: Research Article
ISSN: 1477-7835

Keywords

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