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This paper aims to develop a knowledge-based (KB) system for Lean Six Sigma (LSS) maintenance in environmentally sustainable buildings (Lean6-SBM).

The Lean6-SBM conceptual framework has been developed using the rule base approach of KB system and joint integration with gauge absence prerequisites (GAP) technique. A comprehensive literature review is given for the main pillars of the framework with a typical output of GAP analysis.

Implementation of LSS in the sustainable building maintenance context requires a pre-assessment of the organisation’s capabilities. A conceptual framework with a design structure is proposed to tackle this issue with the provision of an enhancing strategic and operational decision-making hierarchy.

Future research work might consider validating this framework in other type of industries.

Maintenance activities in environmentally sustainable buildings must take prodigious standards into consideration, and, therefore, a robust quality assurance measure has to be integrated.

The significance of this research is to present a novel use of hybrid KB/GAP methodologies to develop a Lean6-SBM system. The originality and novelty of this approach will assist in identifying quality perspectives while implementing different maintenance strategies in the sustainable building context.

This paper aims to present the development of a knowledge-based system (KBS) to support the implementation of Lean Six Sigma (L6s) principles applied to enhance quality management (QM) performance within a health-care environment.

The process of KBS building has been started by acquiring knowledge from experts in field of L6σ and QM in health care. The acquired knowledge has been represented in a rule-based approach for capturing L6σ practices. These rules are produced in IF […].THEN way where IF is the premise and THEN is the action. The produced rules have been integrated with gauging absence pre-requisites (GAP) technique to facilitate benchmarking of best practice in a health-care environment. A comprehensive review of the structure of the system is given, detailing a typical output of the KBS.

Implementation of L6s principles to enhance QM performance in a health-care environment requires a pre-assessment of the organisation’s competences. The KBS provides an enhanced strategic and operational decision-making hierarchy for achieving a performance benchmark.

The KBS needs validation in real health-care environment, which will be done in Oman’s hospitals.

The paper is intended to benefit QM practitioners in the health-care sector during decision-making to achieve performance improvement against a best practice benchmark.

This research presents a novel application of a hybrid KBS with GAP methodology to support the implementation of L6s principles to enhance QM performance in a health-care environment.

Businesses face increasing competition in local, international and global markets where responsiveness to changes within these markets is the key to success and survival. Consequently business strategies need to be consistently re‐defined to effectively reflect the different requirements of customers and to respond to changes in the business environment. The process of generating strategies is not always a simple decision‐making task and revised business and corporate strategies are often generated without considering the structure of the business, particularly at operational level. Furthermore, there is considerable vagueness in the literature and in practice about what constitutes strategy management. This paper reviews the diverse literature in strategy management and presents a business process model of the strategy generation process to ensure consistent generation and communication of strategy throughout an organisation. The performance of a business strategy can then be measured against a model of initial alignment and effective implementation.

It is argued that whilst operational and support processes deliver performance presently, it is the managerial processes that sustain performance over time. The purpose of this research paper is to better understand what these managerial processes are and how they influence organisational performance.

The theoretical background is reviewed covering literature on the subject of business process management, resourced‐based view (RBV), dynamic capabilities and managerial processes. A research framework leads to qualitative case study‐based research design. Data are collected from 37 organisations across Europe, classified according to their performance.

Findings suggest that the five managerial processes and their constituent managerial activities, identified through the empirical research, influence performance of organisations as an interconnected managerial system rather than as individual processes and activities. Also, the execution and maturity of this managerial system is influenced by the perceptions of the managers who organise it.

Within the limitation of the study the discussion leads to eight research propositions that contribute to our understanding of how managerial processes influence organisational performance. These propositions and ensuing discussion provide insights into the content and structure of managerial processes, as well as contributing to the debate on RBV by suggesting that managerial processes and activities could be considered as valuable, rare and inimitable resources. Furthermore, the discussion on how managerial perceptions influence the organisation and execution of the managerial system contributes towards our understanding of how and why dynamic capabilities develop.

The results suggest that in higher performing organisations, managers: demonstrate a wider awareness of the overall managerial system; achieve a balance between short‐term and future‐oriented activities; exploit their managerial activities for multiple purposes; demonstrate greater maturity of managerial activities; and pay greater attention to the organisation of the managerial system.

This paper presents one of the first empirical studies that attempt to understand how business processes, and particularly managerial processes, as an interconnected managerial system serve to sustain performance of organisations.

This study aims to present an overview of leading research trends in the lean six sigma domain published in the International Journal of Lean Six Sigma (IJLSS) since its inception.

The study analyses articles published between 2010 and 2019 in IJLSS using the bibliometric technique. The results of data analysis identify the most prolific authors, their affiliation, citation trends and highly cited articles from the journal. Further, a graphical analysis involving bibliographic coupling and co-citation analysis of the corpus enriches the investigation.

The results of the bibliometric analysis suggest that the number of IJLSS’s publications and citations grew markedly over time (from 4 citations in 2010 to nearly 1,324 in 2019). The organizational diversity and collaboration among authors publishing in IJLSS are trending upwards. Case study and focus group are the two most common research designs in publications. In the study, three major themes emerged: implementation of lean on business, integration of lean and six sigma and the effects of lean six sigma on businesses.

The study finding informs and educates practitioners and scholars about various qualitative research tools, applications and methods of implementing lean six sigma tools in different industry sectors.

The study uses bibliometric analysis to propose a novel categorization of research published in IJLSS and to report on the utilization of various lean tools in the journal. The study provides guidance for new future research besides offering a thorough introspection of the lean and six sigma domains.

The evolution of Knowledge-Management (KM)-related literature has highlighted that Knowledge Management Systems (KMSs) have undergone massive changes in collaborative environments. Information-Systems-enabled KM seems to be the necessary response to the recent challenges posed by globalisation and technology dynamics to both large companies (LCs) and small and medium enterprises (SMEs).

This paper provides a systematic review about KMSs to offer an analytical overview of their role in supporting innovative forms of knowledge translation occurring in collaborative relationships. A sample of 129 papers was selected and analysed according to three perspectives: unit of analysis (LCs, SMEs), phases of the KM process (adoption, translation) and topic area (KM Practices, KM Tools, KMSs).

The findings highlight five literature gaps: (1) the role of KM practices supporting knowledge translation; (2) the impact of the alignment among KM practices, firm's complexity, dimension and culture on KM process; (3) the effect of KM tools on knowledge translation; (4) the variety of KMSs exploited in both LCs and SMEs; and (5) the alignment between organisational structure and information systems in KM context. Accordingly, 13 research questions were formulated.

The proposed research questions define a formal research agenda that could steer further research efforts about the KMS topic for improving the body of knowledge in the KM field. Scientific literature is currently lacking a contribution assessing the role of KMSs in supporting innovative forms of knowledge translation that occur in collaborative relationships.

This paper aims to propose a method for dynamic product perceived quality analysis using social media data and to achieve a macro–micro combination analysis. The method enables the prioritization of perceived quality attributes and provides perception causes.

To rationalize the macro–micro combination, ANOVA and multiple linear regression were used to identify the main factors affecting perceived quality which served as the combination basis; by using the combination basis for consumer segmentation, macro-knowledge (i.e. attribute importance and quality category of the attribute) is achieved by term frequency-inverse document frequency (TF-IDF)-based attribute importance calculation and KANO-based attribute classification, which is combined with micro-quality diagnostic information (i.e. perceived quality, perception causes and quality parameters). Further, dynamic perception Importance-Performance Analysis (IPA) is built to present the attribute priority and perception causes.

The framework was validated by the new energy vehicle (NEV) data of Autohome. The results show that price and purchase purpose are the most influential factors of perceived quality and that dynamic perception IPA can effectively prioritize attributes and mine perception causes.

This is one of the first studies to analyze dynamic perceived quality using social media data, which contributes to the research on perceived quality. The paper also contributes by achieving a combined macro–micro analysis of perceived quality. The method rationalizes the macro–micro combination by identifying the factors influencing perceived quality, which provides ideas for other studies using social media data.

The purpose of present study is to expose the detailed review for benefits and challenges about implementation of Lean Six Sigma (LSS) in business organization and spread of LSS literature in term of various sectors wise, research methodology wise and journal wise.

This paper covers the literature on LSS from 2000 to 2018. The authors have selected a large number of research papers using the keywords as Lean Six Sigma implementation in automotive, micro small medium enterprises, health care, education, financial sectors and many more. A total of 216 research papers have been reviewed on LSS distribution of sector wise, research methodology adopted, active countries, year of publication and critical barriers in implementation of LSS.

The present literature classifies the spread of LSS in four important sectors of manufacturing, health care, human resource, financial and education. It presents the critical barriers and benefits of LSS implementation in various sectors mentioned above and an important research gap, where practitioner/researcher can focus more during their research on LSS.

It is important for industry, researchers and LSS practitioners to be aware about challenges and success factor during LSS implementation in various sectors such as manufacturing, education, financial, human resource and health care. Hence, this paper could provide significant and valuable insights to industry and practitioners for successful implementation of LSS projects.

LSS results in reduced waste, defects and improve process, which in turn provide high-quality products at minimum cost, and this leads to customer delight, which ultimately raises the societal living standard. The results encourage LSS practices without fear because there is a huge discussion of near about all success and failure parameters about LSS.

To the authors’ best knowledge, no studies have still covered the literature review of LSS implementation in three different sectors: manufacturing, service and process. The present study was mainly focused on presenting a systematic review of literature in said sectors and found the gap between current status and future direction for the implementation of LSS in different areas.

This study examines the theoretical and empirical relationships between LM&SS, human resource management (HRM), climate for LM&SS and outcomes (employee well-being and performance) in hospitals. As part of this research, the authors examine the interplay between “hard” and “soft” practices for LM&SS and “soft” HR practices.

A cross-sectional, multisite survey study covering all internal service units at all eight Dutch university hospitals was conducted (42 units, N = 218 supervisors, N = 1,668 employees), and multivariate multilevel regression analyses were performed.

A systems approach involving “soft” LM&SS practices that are specifically HR-related has a positive effect (β is 0.46) on a climate for LM&SS. A climate for LM&SS is not related to perceived performance or employee health. It is, however, positively related to employee happiness and trusting relationships (both βs are 0.33). We did not find that a climate for LM&SS had a mediating effect.

This study shows that a balanced approach involving both “hard” and “soft” factors is crucial to achieving the desired breadth and depth of LM&SS adoption at the macro, meso, and micro levels. The authors found that a climate for LM&SS positively affects employee well-being in hospitals.

In their attempt to create mutual gains for both their organization and their employees, hospitals that adopt LM&SS should foster a climate for LM&SS by embracing a balanced approach consisting of both “hard” and “soft” practices, thereby internalizing LM&SS at the macro, meso, and micro levels.

This is one of the first studies to examine in-depth the impact of “hard” and “soft” LM&SS on both employee well-being (subdivided into different components) and performance in healthcare, as well as the role of “soft” HRM in this relationship. Linking LM&SS, HRM and outcomes to a climate for LM&SS is relatively a new approach and has led to a deeper understanding of the mechanisms underpinning the internalization of LM&SS in healthcare.

Lean Six Sigma (LSS) is a widely accepted business improvement methodology in healthcare, which aims to improve operations and quality and reduce cost, medical errors and waiting time by combing the principles of lean thinking with Six Sigma methodologies. To implement LSS successfully in healthcare organizations it is necessary to know the readiness level before starting the change process. Thus, the purpose of this paper is to assess the readiness level for the implementation of LSS in healthcare using a fuzzy logic approach.

The current study uses a fuzzy logic approach to develop an assessment model for readiness to implement LSS. The conceptual model for readiness is developed with 5 enablers, 16 criteria and 48 attributes identified from the literature review. The current study does the study in a medium-size hospital from India.

The fuzzy readiness for implementation of LSS index (FRLSSI) and fuzzy performance importance index (FPII) are calculated to identify the readiness level for the implementation of LSS in the case hospital. The FRLSSI is computed as average ready with (3.30, 5.06 and 6.83) and the FPII computed helps to identify 15 weaker attributes from 48 attributes.

The current study uses only one hospital for study. In the future, the model can be tested in many hospitals.

The current study would be used by the managers of a healthcare organization to identify the readiness level of their organization to implement LSS. The proposed model is based on the identification of enablers, criteria and attributes to assess the readiness level of a healthcare organization and it helps to improve the readiness level to implement LSS effectively.

The present study contributes to the knowledge of readiness for the implementation of LSS in a healthcare organization. The conceptual model is developed for assessing the readiness level of a healthcare organization and it helps to improve the readiness level for successful implementation of LSS. Weaker attributes are identified and necessary corrective actions should be taken by the management to improve the readiness. The continuation of the assessment readiness model over a period of time would help to improve the readiness level of healthcare for the implementation of LSS.