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Drawing from boundary-spamming knowledge processes and knowledge-based theory, the purpose of this paper is to study enablers of the knowledge management (KM) process using robust multi-criteria decision-making (MCDM) tools like interpretive structural modeling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) method.

Drawing on the knowledge-based view and through the detailed literature review among different KM success, eight enablers were identified. By using the ISM-DEMATEL approach, a systematic framework was designed, and further cause–effect relationship diagram visualized a causal relationship among the enablers.

The combined approach of ISM-DEMATEL showcase that “knowledge creation” and “knowledge capture” are essential enablers. These two identified enablers have considered being pillars for KM implementation. On the other side, knowledge organization, knowledge application are dependent enablers.

From a practical viewpoint, the findings of this research work enable the industry consultants to identify the most prominent driving enablers for KM implementation. Additionally, it provides a clue for the effective implementation of KM in a systematic approach.

The integrated method depending on the hierarchical model and cause–effect relationship between enablers of the KM process is a novel approach that opens a new research area in this domain. Moreover, this is the first-ever attempt to combine ISM along with DEMATEL to identify enablers of the KM process.

This study aims to investigate the impact that knowledge management (KM) capabilities have on school effectiveness in career and technical education (CTE) in Taiwan.

The study adopted a survey research. A total of 439 valid samples were obtained and subsequently verified with structural equation modeling.

The results indicated that KM capabilities consist of two main dimensions, namely, the KM enabler capabilities and the KM process capabilities. The former includes structures, cultures and information technology support, whereas the latter includes acquisitions, storage, sharing and applications. In terms of the relationships among the dimensions of the model structure, the KM enabler capabilities managed to effectively predict the KM process capabilities, and the KM process capabilities managed to effectively predict the perceived school effectiveness.

Based on the results, improvement of the KM enabler capabilities and process capabilities of higher education institutions of CTE is recommended so that their school effectiveness may be improved. Because the participants were not randomly selected, the generalizability of the results should be further examined.

This study encourages practitioners to focus their KM practices on KM enabler capabilities and the KM process capabilities.

The current study provided an insight into and further understanding of the model regarding the relationships among the KM enabler capabilities, the KM process capabilities and the school effectiveness.

The purpose of this paper is to explore the dynamic relationships among the essential knowledge management (KM) constructs, i.e. strategy, enablers and processes, and to establish their links to organizational performance using a holistic integrated model.

The structural equation modeling approach was used in the research study. The primary data were collected from IT managers in Indian software firms.

The study successfully tested an integrated KM model in an Indian scenario. The study found that the KM strategy, enablers and processes had a significant positive relationship with the organizational performance. An appropriately designed KM strategy significantly influenced the KM enablers and KM process. KM enablers nurtured in an organization positively impacted the KM process. Furthermore, the KM process partially mediated the relationship between the KM strategy and organizational performance, and partially mediated the relationship between KM enablers and organizational performance.

This study is one of the few to empirically establish how the essential KM constructs of strategy, enablers and processes together impact organizational performance.

The purpose of this study is to identify inhibitors and enablers of Kaizen event effectiveness, as perceived by participants, and categorize them into shared mental models to understand the factors participants believe to be affecting Kaizen event success. The findings are also interpreted using the lens of attribution bias and previous studies of Kaizen event effectiveness.

A qualitative approach involving coding responses from participants was adopted. The identified significant inhibitors and enablers were then assigned to shared mental model types using a mapping and categorization approach.

The results are largely consistent with previous studies and show that job/task and technology/equipment mental models dominate participant views of inhibitors, while enablers were primarily drawn from team and team interaction mental models. This also suggests that attribution bias is present.

The methods used to measure shared mental models in this study are cross-sectional and exploratory in nature. Future research could involve the intensive study of a smaller number of Kaizen events over time.

The findings in this study can be used by organizations to identify training needs for Kaizen event teams by identifying areas of potential attribution bias, by divergence of perceptions between facilitators and team members and by underestimated factor effects.

This investigation offers understanding of the Kaizen event team shared mental models with respect to inhibitors and enablers of event success. Organizations can harness common perceptions among continuous process improvement teams to increases chances of Kaizen event success.

Managing stakeholders' reciprocal interdependencies is always a challenging issue. Stakeholders need to find out different ways to communicate information and coordinate material flows during the supply chain processes. Many recent studies have advanced construction supply chain coordination from multiple perspectives. However, the field still lacks a comprehensive analysis to summarize existing research, to explicitly identify all the possible enablers for coordination and to investigate how the enablers can be carried out at the supply chain interfaces. To fill the gap, this study aims to conduct a systematic review in order to examine the relevant literature.

A systematic literature review process was conducted to identify and synthesize relevant publications (published in the past 20 years) concerning the coordination of construction supply chain functions. These publications were coded to link main research findings with specific enabler categories. In addition, how these enablers can be used at the interfaces across supply chain processes was reviewed with an in-depth analysis of reciprocal communications between stakeholders at design-to-production, production-to-logistics and production-to-site-assembly phases.

The coordination enablers were classified into three categories: (1) contractual enablers (including subtopics on relational contracts and incentive models), (2) procedural enablers (including subtopics on multiagent knowledge sharing systems and the last planner system) and (3) technological enablers (including subtopics on linked databases for design coordination, design for manufacturing software platforms and automated monitoring technologies). It was found that interfacing different functions requires a certain level of integration of stakeholders for quick response and feedback processes. The integration of novel contractual forms with digital technologies, such as smart contracts, however, was not adequately addressed in the state of the art.

The scope of the systematic review is limited to the static analysis of selected publications. Longitudinal studies should be further included to sharpen the inductions of enablers considering organizational changes and process dynamics in construction projects.

Different enablers for coordination were summarized in a concise manner, which provides researchers and project stakeholders with a reinforced understanding of various ways to manage reciprocal interdependencies at different supply chain interfaces.

This study constitutes an important input for research on the construction supply chain by illuminating the thematic topic of coordination from inductively developed review processes, which included a holistic framing of the emerging coordination enablers and their use across supply chain functions. Consequently, it closes some identified knowledge gaps and offers additional insights to improve the supply chain performance of construction projects.

Knowledge management (KM) has become a key driver of organisational performance. The existing literature suggests that many organisations fail in their attempts to align their KM strategies with knowledge processes within their organisation. Based on the management literature on alignment, there is a gap in the understanding of how an organisation's KM strategy and KM processes in workgroups can be aligned. The purpose of this paper is to illustrate that alignment in terms of KM is important and underpins the improvement of KM processes in organisations.

A qualitative case study research approach was used to examine alignment between strategy and processes of knowledge in organisations. In total, three case organisations representing different industry sectors were chosen to examine how organisations align their KM strategies with workgroup knowledge processes.

This study proposes a Strategic‐Workgroup Alignment Framework that explains the key alignment enablers and different alignment approaches required to align KM strategy with workgroup KM processes in organisations.

The authors acknowledge the limitations of this paper. Although the proposed framework provides valuable insights with respect to different alignment approaches, it does not specify how each alignment approach can be assessed in terms of effectiveness and efficiency. As part of the alignment approaches, this study's focus was between strategy and processes of knowledge: further research could bring to light new alignment options of knowledge and the associated implications.

This study illustrates that organisations can improve the management of knowledge through alignment between KM strategies and KM processes. Such an improvement is also possible in the absence of a KM strategy emphasis, where alignment would require a deeper examination of workgroup knowledge processes. This study also identifies specific alignment enablers to align KM strategy and KM processes.

Given the critical importance of green innovation (GI) for organizations in developing economies, this study aims to examine the interrelationship between knowledge management (KM) enablers, KM processes and GI. The research also indicates that certain combinations of KM enabler dimensions and KM processes can lead to better GI.

The study sample consists of 328 participants from Pakistan's medium- and large-sized manufacturing enterprises. Smart PLS 3.2.9 is used to verify the relationships. Moreover, the fuzzy set qualitative comparative analysis (fsQCA) investigates configurational paths for improving GI.

The results demonstrate that KM enablers significantly affect two aspects of GI – green product and process innovation – and KM processes. Moreover, KM processes significantly enhance two aspects of GI. The fsQCA findings indicate multiple combinations of KM enablers and KM processes dimensions that result in better GI.

To better understand the critical role of knowledge resources, future studies should explore the potential mediating mechanisms of KM processes or the moderating effects of strategic organizational factors in the relationship between KM enablers and GI.

The study offers valuable insight and a unique approach for policymakers and executives of corporations in developing countries to enhance their organizations' GI capacity through KM enablers and KM processes.

This research contributes to bridging research gaps in the literature and advances insights into the interrelationship among KM enablers, KM processes and GI. In addition, the study offers methodological significance by combining direct and configurational techniques to address two distinct facets of GI.

Recent years have witnessed a significant rise in Indian healthcare establishments (HCEs) which indicate that there is a constant need to improve the healthcare quality services through the adoption and implementation of TQM enablers. The purpose of this paper is to identify such enablers and then propose a ranking model for TQM implementation in Indian HCEs for improved performance.

The study identifies 20 TQM enablers through comprehensive literature survey and expert’s opinion, and classifies them into five main categories. The prominence of these enablers is established using a recently developed novel multi-criteria decision making (MCDM) method, i.e. best-worst method (BWM). The importance of the various main category and sub-category enablers is decided on the basis of their weights which are determined by the BWM. In comparison to other MCDM methods, such as analytical hierarchy process, BWM requires relatively lesser comparison data and also provides consistent comparisons which results in both optimal and reliable weights of the enablers considered in this paper. Further, a sensitivity analysis is also carried out to ensure that the ranking (based on the optimal weights) of the various enablers is reliable and robust.

The results of this study reveal that out of five main category enablers, the “leadership-based enablers (E1)” and the “continuous improvement based enablers (E5)” are the most and the least important enablers, respectively. Similarly, among the 20 sub-category enablers, “quality leadership and role of physicians (E14)” and “performing regular survey of customer satisfaction and quality audit (E52)” are the most and the least dominating sub-category enablers, respectively.

This study does not explore the interrelationship between the various TQM enablers and also does not evaluate performance of the various HCEs based on the weights of the enablers.

The priority of the TQM enablers determined in this paper enables decision makers to understand their influence on successful implementation of the TQM principles and policies in HCEs leading to an overall improvement in the system’s performance.

This study identifies the various TQM enablers in HCEs and categorizes them into five main categories and ranks them using the BWM. The findings of this research are quite useful for management of the HCEs to properly understand the relative importance of these enablers so that managers can formulate an effective and efficient strategy for their easy and smooth implementation which is necessary for continuous improvement.

This study aims to identify and analyse the main enablers of knowledge management (KM) in improving the logistics capabilities of Indian organisations and develop a model based on the contextual relationship among the identified enablers.

Initially, this study uses a systematic literature review and questionnaire-based survey approach to identify the enablers of KM; and later, total interpretive structural modelling (TISM) was used to evolve mutual relationships among the identified 11 enablers for developing a hierarchical model.

The results of the analysis show that enablers, namely, organisational structure and leadership, application of advanced information and communication system, collaboration with established stakeholders and organisational learning and innovative approaches are identified as main enablers for improving the logistics capabilities of Indian organisations.

This study provides useful implications for the researchers working on exploring the role of KM enablers in improving the logistics capabilities of organisations.

This study provides rich practical implications for the manufacturers, supply chain managers, logistics service providers and logistics consultants involved in the decision-making process. They can focus majorly on knowledge creation and knowledge storage processes to improve the logistics performance of their respective organisations.

This study is an attempt to identify the enablers of KM that could improve the logistics capabilities of Indian organisations. The application of the TISM method to develop a theoretical framework is the novel contribution of this study.

The paper aims to analyse the contextual relationship and dependency amongst enablers for lean manufacturing implementation in Bulgarian small and medium-sized enterprises (SMEs).

In this study, the interpretive structural modelling (ISM) technique was used to develop a hierarchical structural model for enablers. Also, the interpretive ranking process (IRP) was used to analyse and rank enablers with reference to performance variables. For the ISM approach, a structural self- integration matrix was developed with the help of experts’ suggestions and opinions. Cross-impact matrix multiplication applied to classification (MICMAC) analysis was used to analyse the relationship amongst enablers. A total of nine experts were chosen for collecting the primary data in which seven experts belong to the industry and two experts were academicians. The dominant relationship amongst the enablers was analysed through IRP modelling.

A total of 11 enablers were identified for the purpose of this study. The model shows that “leadership and commitment by management”, “human resource management”, “customer relation management”, “supplier relation management” and “information technology system” are the most significant enablers for lean implementation in Bulgarian SMEs as these are positioned at the bottom levels in ISM model. MICMAC analysis shows that five enablers fall in the independent factor, two enablers in linkage factor and four enablers in the dependant factor while there is no enabler in the autonomous factor. ISM and IRP models show that “continuous improvement” is an essential enabler for the successful implementation of lean in Bulgarian SMEs. This study also helps to explain the comparative analysis of ISM and IRP, which indicates that IRP is a more robust modelling approach than ISM, as it incorporates the relationship of enablers with performance variables.

ISM and IRP modelling approaches are based solely on expert opinions and responses. This limitation can be overcome with the help of empirical study.

This study supports the professionals/experts to prioritise and manage enablers at strategic and tactical levels while implementing lean manufacturing practices in Bulgarian SMEs. The models developed in the study will be helpful for practitioners to understand and analyse the interdependence of enablers for lean manufacturing implementation.

This study helps to identify and prioritise enablers that affect lean manufacturing adoption using ISM and IRP approaches. Literature shows that numerous authors have used the ISM approach but the use of IRP approach is limited. The models were developed in the study, totally dependent on data collected from the experts to ensure their real-life validity.