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The purpose of this paper is to examine how the rapid pace of technological change, attrition rate, global complexities and the increasing amount of data and information available have complicated the task of managing knowledge for third‐party logistics (3PL) service providers. Based on literature, there is a need for research into the development of a generic taxonomy components framework (GTCF) for the implementation of knowledge management (KM) solution for 3PL service providers.

A four‐stage model has been devised for the development of a GTCF to implement KM solution for 3PL service providers. The authors proposed modified Q‐sort method and also used Delphi analysis in the four‐stage model. The KM components were identified through literature study and discussion with subject experts. The hierarchical structure of the taxonomy was derived and refined through a survey among 3PL experts by employing Q‐sort method.

This paper makes several important contributions toward the objective of better understanding the role of 3PL operations in knowledge creation. The feedback from the respondents shows that the GTCF is of potential employment by 3PL service providers irrespective of the nature of the primary service they offer.

The GTCF has been devised based on survey responses gathered from 3PL experts in India. The findings of this study have implications for understanding the key KM components required for 3PL service provider relationship and also the weightage for KM components.

The aim of this research is for the development of a GTCF which can be taken as the base for implementation of KM solutions for 3PL service providers.

The contribution of this study lies in extending the body of knowledge of KM for 3PL service providers. It tests a proposed framework which has only limited empirical validation, and provides a broader understanding of KM components required for 3PL service provider.

This paper aims to summarise a literature review undertaken to determine whether or not information taxonomy work, as a specific activity within the broader field of knowledge organisation system construction, can usefully be compared to a process of scientific enquiry. The theories of objectivity and subjectivity proposed by Helen Longino are considered, to determine their relevance to taxonomists and classification theorists.

The review assesses and synthesises relevant best practice and theoretical literature from information science, sociology of science, and related disciplines, including linguistics, epistemology, and psychology.

Although requirements of objectivity in science and in taxonomy work differ significantly, the achievement of consensus within communities is similar. This warrants development of Longino's theories for application to taxonomy work.

The potentially relevant literature represents too vast and diverse a body of scholarship for comprehensive review of every area, so a synthetic interdisciplinary approach has been taken, highlighting aspects worthy of further investigation.

Subjectivity and objectivity are deemed significant for information taxonomists, especially regarding usability and accessibility of systems, while the sociology of science provides frameworks that could be adapted to offer methods of assessing the subjectivity and objectivity of taxonomies. This suggests much potential for developing Longino's theories into a framework or set of heuristics for taxonomy practitioners.

Current literature on taxonomy work, as distinct from classification, categorisation, and similar topics within the broader knowledge organisation field, is scant, and academic and interdisciplinary approaches scarce. Relating the sociology of science to information taxonomy work is a novel approach. By exposing this relationship, a starting point is provided for researchers who wish to develop understanding of these fields and theoretical understanding of taxonomies and professional best practice is enhanced.

The European Union (EU) aims to become climate-neutral by 2050. Achieving this requires targeted measures and strategies. One of the instruments of the EU is the EU taxonomy, a classification system with the purpose of creating a common definition of what economic activities are deemed sustainable. The paper aims to examine how the EU taxonomy can affect the Norwegian construction industry, property owners and facilities management (FM) providers.

The research is based on a document analysis and interviews with main stakeholders within the financial sector, construction and real estate (RE) sector, authorities, environmental organisations and businesses related to FM and RE.

The findings show that different stakeholders share largely similar attitudes towards the taxonomy, although some differ in their opinions. This paper finds that there are high levels of uncertainty and confusion associated with the taxonomy, which can be said to be a major obstacle for successful implementation. Several stakeholders show concerns related to the fact that Norway lacks definitions and regulations on which the taxonomy is based. The requirements for new buildings and existing buildings are considered stricter than the current practice in the Norwegian construction and RE industry, while the requirements for renovation are considered more achievable. The uptake of the EU taxonomy will impact the FM and the urban FM practices and standards for the procurement of services, and the integration of environmental, social and governance (ESG) policies must be developed.

The research presented in this paper was conducted at a time when the EU taxonomy was a relatively unknown concept in the Norwegian construction and RE industry. FM providers were not interviewed in this study.

This research is one of the first studies to be conducted on this topic in Norway and represents the first meeting between the EU taxonomy and the industry. The discussion underpins the relevance of adjusting and updating FM standards to today’s knowledge about ESG principles.

The paper shows the viewpoint of the Norwegian stakeholders involved in the construction and RE industry. This gives valuable information about the challenges that the industry needs to overcome.

This paper aims to lay the foundations to develop a dominant logic and a common thematic framework of strategic innovation (SI) and to encourage consensus over the field's core foundation of main themes.

The paper explores the intersection between the constituent fields of strategic management and innovation management through a concept mapping process. The paper categorizes the main themes and search for common ground in order to develop the core thematic framework of SI. The paper looks at the sub‐themes of SI in published research and develops a more detailed framework. The conceptual categories derived from the process are then placed in a logical sequence according to how they occur in practice or in the order of how the concepts develop from one other.

The results yield seven main themes that form the main taxonomy of SI: types of SI, environmental analysis of SI, SI planning, enabling SI, collaborative networks, managing knowledge, and strategic outcomes.

The new thematic framework the paper is proposing for SI remains preliminary in nature and would need to be tried and tested by researchers and practitioners in order to gain acceptability. Academic rigor and methodological structure are not sufficient to determine whether our conceptual framework will become widely diffused in academia and industry. It would have to pass through an emergent, evolutionary process of selection, adoption and an inevitable degree of change and adaptation, just like any other innovation.

The practical implications concern the production of instructive material and the application of strategic management initiatives in industry. The proposed themes and sub‐themes can serve as a logical framework to develop and update publications, which have been instrumental in their own right to shape the field. The paper also provides a checklist of potential research projects in SI, which will improve and strengthen the field. The new framework provides a comprehensive checklist of strategic management initiatives that will help industry to initiate, plan and execute effective innovation strategies.

The concept mapping of the themes of SI yields a new dominant logic, which will influence the evolution of the field and its relevance to both academia and industry.

Terms drawn from DDC indexes and IEEE Web Thesaurus were merged with DDC hierarchies to build a taxonomy in the domain of computer science. When displayed as a directory structure using a shareware tool MyInfo, the resultant taxonomy appeared to be a promising tool for categorisation that can facilitate browsing of information resources in an electronic environment.

The aim of this study is to utilise the Theoretical Domains Framework (TDF) to identify the main barriers and facilitators of positive attitude towards trying Virtual Active Sports (VAS).

200 individuals took part in an online cross-sectional survey based on 11 domains within the TDF. Linear logistic regression analysis was performed on the participant’s self-reported attitudes and believes. Based on the results from the regression analyses, a list of suggested behaviour change techniques was designed using the Behaviour Change Wheel (BCW) framework and the BCT taxonomy (BCTTv1).

This research suggested that Beliefs about Consequences, Beliefs about Capabilities, Goal Conflict, Coping Planning, and Environmental Context and Resources are the main factors, influencing the positive attitude towards VAS and the self-reported desire to try it in the future. Future interventions were recommended and supported by 22 possible BCTs identified using the BCW approach. The TDF and BCW proved to be useful models for identifying both internal and external factors influencing fitness fans during the adoption of the new sportstech.

The main contribution of the present work was the implementation of a structured and effective approach derived from the healthcare domain to design solutions for behaviour change in the emerging and expanding virtual sports context.

This study aims at investigating the impact of using Lego Serious Play (LSP) on the effectiveness of teaching supply chain (SC) 4.0 in higher education by going from a traditional 2D approach to a 3D one. LSP in this study is explored as a gamification pedagogical approach that taps into the connection between hands and brain to inspire and engage students to build 3D models using metaphors and storytelling.

An empirical study was conducted among 50 students (over two terms) who were enrolled in a SC 4.0 course and used LSP in their final project that focused on digital SC design. Two questionnaires were designed (one after the standard LSP workshop and the other upon completion of the project) to solicit feedback with respect to how LSP helped students to better understand SC 4.0 topics and fulfill their project. The results were analyzed using Bloom’s taxonomy as well as other pedagogical framework to understand the positive impact of LSP at the cognitive, motivation and social levels.

Results showed that using LSP can enhance the teaching of various SC principles and technologies beyond the abstract point of view (2D) through offering the students an opportunity to apply these principles and technologies in a futuristic project using a hands-on 3D approach. The LSP approach demonstrated its ability to help students navigate through both lower order thinking skills (LOTS) and higher order thinking skills (HOTS) in a meaningful and playful manner. Finally, improving the design skills for students was clear using LSP as it unleashes imagination and taps into internal knowledge together with collective inputs.

The reliance on one case study can be a limitation regarding the generalization of the proposed results. This limitation is attenuated by the representativeness of the case study analyzed. Furthermore, the presented work should encourage future analyses as well as expanding the implementation of LSP to other SC 4.0 teaching contexts and applications.

This paper contributes to the very few literatures regarding using gamification in SC education and specifically how LSP methodology can be adopted in teaching SCM 4.0.

Total quality management (TQM) is considered a very important factor for the long‐term success of an organization. However, there exist a lot of international quality awards, apart from different versions of national quality awards (NQAs), developed by the governments of many countries based on these well‐established awards. In addition to these awards, there are a plethora of frameworks proposed by various researchers and consultants. Hence, many organizations are not in a position to understand clearly the concept of TQM, in terms of knowing what has to be implemented and what area to focus on. To overcome these issues, this paper attempts to present a list of TQM implementation elements for manufacturing excellence. These elements can be undertaken by any manufacturing organization striving for excellence.

A literature review was carried out to provide a brief overview about the 28 models, awards and frameworks given by national, international agencies and individuals. Then a comparative analysis was carried out to identify the list of TQM elements and a framework for TQM implementation elements has been proposed through discussion with experts and domain knowledge.

The outcome of this research is a framework of TQM implementation elements for sustaining manufacturing excellence obtained from the comparative analysis of various TQM models and national/international quality awards.

The proposed list of TQM elements and its associated framework are highly conceptual and need to be validated through an empirical approach or by a clinical approach utilizing a case study.

The paper identifies the TQM implementation elements which will direct an organization towards manufacturing excellence, as well as ensuring that the elements withstand the test of time, pace of technology, market and customer changes.

Applying critical analysis as the methodological framework for assessing the literature, the review seeks to present a summary and evaluation of the existing body of knowledge. This approach helps to establish the basis for developing forthcoming recommendations.

The articles were selected through a Systematic Literature Review following the PRISMA guidelines, and utilising Scopus, Web of Science, Science Direct, and the Education Resources Information Center database. Field taxonomy is presented based on the outcomes.

Through a critical review, we offer narrative arguments that document the shortcomings in the existing literature by scrutinising study designs and highlighting suboptimal approaches. Finally, we issue a call to action for future research, envisioning its potential to reorient and reconstruct the field while enhancing the quality of future studies. This proactive stance aims to foster the development of more competent and insightful perspectives, theories, and policy recommendations within design thinking in management education and training.

The research in this field holds significant potential for providing valuable practical and policy insights, contingent upon the rigorous and thorough execution of studies.

This article presents a robust critical review of 57 state-of-the-art articles investigating design thinking in the context of management education and training.

The purpose of this paper is to investigate, validity and reliability analysis on existing Lean manufacturing (LM) frameworks when applied to Indian organizations. LM is one of the best manufacturing strategies that are used by manufacturing plant managers to improve manufacturing capabilities.

In the present research work, a questionnaire-based survey was used to examine 35 LM frameworks. The study targeted respondents ranging from top- and middle-level management personnel in Indian manufacturing industry. The sample includes organizations in a variety of industries ranging from automobile, electronics, engineering, process and textile industries products. The survey tool was prepared with team of 12 members i.e. six academicians and six professionals from manufacturing industry environment. The study received 186 responses from various sectors of manufacturing industry, 180 surveys were usable resulting in a response rate of 23.90 per cent. Factor analysis was conducted to check unidimentionality of the framework. Cronbach’s alpha is calculated to find reliability of each framework’s. Lastly, frequency analysis was used to recognize familiar constructs of LM on the chosen framework.

This study has identified that most of the LM frameworks revealed a high level of reliability. When the study has examined further advance about unidimensionality with respect to the construct, i.e. the LM it measures, it confirmed 11 frameworks were revealing unidimensionality. The frequency analysis was evident that a greater part of the constructs has a high mean score and mode. Finally, the research concludes that there is requirement for a novel framework to Indian manufacturing industry to stay in competition with global manufacturing industries.

Cross-sectional data from manufacturing industries and India (only one country) is used with sample size restricted to 180 only, and it would be interesting to test these frameworks for more than one industry sector and country.

The present work tries to find the suitability of the presented LM frameworks to Indian manufacturing industry sector. The authors hoped that the present research would give the information to the management to execute the suitable LM framework in their firm.

The present work tries to find the suitability of the presented LM frameworks to Indian manufacturing industry sector. The authors hoped that the present research would give the information to the management to execute the suitable LM framework in their firm.