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Lean Six Sigma (LSS) is receiving a tremendous attention as a modern process of streaming to improve the organizational ability and customer satisfaction. A successful LSS implementation is influenced by various factors and the execution of all the influencing factors simultaneously is a very difficult task for any organization. From the perspective of limitation of resources, this paper aims to present a basic issue in an LSS implementation of clustering complex and impacting factors into groups to achieve them in a stepwise manner. This paper aims to present a fundamental issue of clustering the complex and impacting factors of an LSS implementation into groups to achieve them stepwise.

A total of 40 relevant influencing factors toward an LSS implementation have been identified from the extensive literature review and duly validated with experts’ opinions. Integrated fuzzy set theory and decision-making trial and evaluation laboratory (DEMATEL) approach are demonstrated to explore the causal relationships among influencing factors of the LSS implementation. An empirical case analysis of an Indian manufacturing organization is carried out to illustrate the utilization of the proposed model.

The proposed framework effectively finds out the significance of each influencing factor of an LSS implementation and clustered into cause–effect groups. As per the results of the empirical case analysis, ten critical success factors (CSFs) of the LSS implementation are evaluated for the successful LSS implementation. Top management pays more attention to achieve them and implement them in a phase-wise approach under the limitations of accessible resources.

The presented framework provides an effective, precise and systematic decision support tool for recognizing CSFs of the LSS implementation. The organization, decision-makers, industrial practitioners and academic researchers may be able to comprehend the cause–effect relationship of the influencing factors of the LSS implementation. The exploratory nature and the single case study are two major limitations of this analysis. The developed model is heavily dependent on the experts’ opinions; hence, any bias in judgment will influence the final result.

This analysis is the first of its kind of effort, according to the best of the authors’ knowledge, to classify the influencing factors of LSS implementation into the cause–effect cluster. The outcomes of this analysis make the complexity of a problem easier in handling and assisting the decision-making.

Industry 4.0 is regarded as a modern industrial phase wherein convergence between horizontal and vertical production systems, along with their interactions, would enable industries to obtain excellent industrial efficiency. This research thus explores the barriers relevant to Industry 4.0 and their cause and effect relations using the decision-making trial and evaluation laboratory (DEMATEL) technique, and this will assist in the implementation of Industry 4.0 in manufacturing industries.

A comprehensive literature review is carried out to outline the barriers for the Industry 4.0 implementation. The investigative techniques used in this research were conducted utilizing a questionnaire as an instrument for collecting data. The data collected were analysed using the method DEMATEL.

The findings indicate that key barriers to implementing Industry 4.0 include their cause and effect relationships. Reported “implementation costs” have been a critical barrier for Industry 4.0 implementation. Prioritization of barriers and their cause and effect relationships was achieved so that decision-makers could concentrate on overcoming such barriers for Industry 4.0 implementation.

The research is intended to assist executives in recognizing the barriers to Industry 4.0 implementation in their manufacturing industries. Furthermore, the strong functional and empirical importance of emerging and digital manufacturing technologies ensures that understanding the necessary barriers to implementation is important.

This is one of the first few empirical studies in the field of Indian manufacturing industries that uses the DEMATEL method framework as a foundation for recognizing cause-effect interactions among the barriers that affect Industry 4.0.

Why some assembly factories implement a lean program faster than others is an enduring puzzle. We examine the effect of a fundamental characteristic of every assembly factory—its rhythm of production.

We designed a multi-method study and collected data from a leading global equipment manufacturer that launched a lean program across its factory network. We use quantitative data gathered from internal company documents to test our hypothesis that production rhythm affects the pace of lean implementation. We then analyze qualitative data from interviews and factory visits to derive theoretical explanations for how production rhythm affects lean implementation.

Consistent with our hypothesis, we present evidence that factories with faster production rhythms implement lean faster than those with slower rhythms. This evidence is consistent with learning theories as well as the literature on organizational routines and forms of knowledge. We propose a theory of the relation between rhythm and learning in lean implementation.

The hitherto unexplored relation between production rhythm and lean implementation raises intriguing questions for scholars and ushers new insights into how organizations learn to implement lean.

Organizations need to calibrate their expectations for lean implementation pace when their factories have widely different production rhythms and find ways to mitigate any adverse effects slower rhythms may have. Organizations can alleviate the unfavorable context of slower rhythms by inculcating practices in the factory that emulate the learning environment present in faster-paced factories.

We contribute novel quantitative and qualitative evidence that production rhythm affects lean implementation through learning-based mechanisms.

Sustainable manufacturing is gaining prominence in light of the rising environmental and social concerns worldwide. One major task to enhance manufacturing sustainability is assessment of the current state of sustainability of a manufacturing firm. This paper reviews the existing sustainability assessment approaches applicable for manufacturing firms and observes that most of these approaches are not easy to apply for reasons such as high amount of skill, data and time requirement. Towards bridging this gap, this study proposes a sustainability assessment approach.

The assessment approach proposed in the paper uses a predefined list of potential sustainable manufacturing practices (SMPs) covering the primary and support activity domains of a manufacturing firm's value chain. It proposes a method to assess the extent of implementation of SMPs and identify associated drivers and barriers for each SMP area/category along the value chain of a firm as well as at overall firm level. A case study from textile industry is presented to demonstrate the utility of this approach.

The sustainability assessment approach adopted in this study uses less time and skills as well as ensures comprehensive coverage of SMPs. It provided valuable information to the management of the case company on how sustainable their practices are and why?

The study highlights the importance of sustainability assessment at SMP area/category level as well as explores practice area/category specific drivers and barriers. It provides a useful approach for a quick assessment of the current state of sustainability in manufacturing firms.

The paper aims to identify, analyse and develop a model for measuring the inter-relationship and interaction among the antecedents influencing innovation implementation. The extant literature has not widely studied the interactions and inter-relationships among the antecedents of innovation implementation. To fill this gap, the paper develops a hierarchical relationship framework between the identified antecedents of innovation implementation.

The study follows mixed method-based approach using two methodologies: modified total interpretive structural modelling (m-TISM) and MICMAC (Matriced’ Impacts Croisés Multiplication Appliquée á un Classement) analysis. m-TISM is used for the purpose of establishing the hierarchical relationship among the antecedents. MICMAC analysis is used to study the driver-dependent relationship. To identify the antecedents of innovation implementation, the paper follows a systematic search method found in the review articles. The article search was performed across different databases including Google Scholar, Web of Science, EBSCO and Scopus.

In this study, eight innovation implementation antecedents are identified. The analysis indicates that competency antecedents such as leader competency and employee competency, having high driving and weak dependence power, are at the lowest level in the hierarchical model, whereas, innovation implementation, having high dependence and low driving power, is at the highest level in the hierarchical model. Strategic resources act as a linkage variable.

Although this study summarizes the extant literature to generalize the findings, the future studies can focus upon statistical validation of model by employing structural equation modelling to generalize the results.

The practitioners must emphasize on antecedents having strong driving power for successful implementation of innovation. The hierarchical model is proposed for implementing innovation successfully that will help organizations to be more competitive, productive and profitable.

In this study, m-TISM and MICMAC-based hierarchical models are proposed for implementing innovation successfully in organizations. It also provides the variables insights such as driver-dependent interrelationship between the identified antecedents.

Constraint-induced movement therapy (CIMT) is an effective intervention for arm recovery following acquired brain injury; however, there is an evidence-practice gap between research and CIMT use in practice. The aim of this study was to identify individual, organisational and social factors enabling implementation and sustained delivery of CIMT programs internationally.

Descriptive qualitative design. Purposive sampling was used to recruit occupational therapists and physiotherapists with previous experience delivering CIMT. Semi- structured interviews were conducted, using an interview schedule informed by the Theoretical Domains Framework (TDF) to explore individual factors (such as knowledge, skills and beliefs), organisational factors (such as organisational culture and resources) and social factors (such as leadership) influencing CIMT implementation. Interviews were audio-recorded, transcribed and managed using NVivo. The TDF guided data analysis and identification of key influences on CIMT implementation and sustainability.

Eleven participants (n = 7 [63.6%] occupational therapists and n = 4 [36.4%] physiotherapists) were interviewed from six countries, working across public (n = 6, 54.6%) and private health (n = 5, 45.5%). Six key domains influenced CIMT implementation and sustainability. Clinicians needed knowledge and opportunities to apply their skills, and confidence in their ability to implement CIMT. Within their workplace, supportive social influences (including broader team support), the environmental context (including organisational culture and resources) and reinforcement from seeing positive outcomes contributed to implementation and sustainability. Other important influences included community demand and tailoring of programs to meet individual needs.

This is the first study to examine therapists' experiences of CIMT implementation and sustainability across multiple countries. Factors related to capacity building, social and organisational support and resources enabled CIMT program implementation and ongoing sustainability. These findings can be used to design behaviour change interventions to support CIMT use in practice.

This paper aims at understanding the action of pilot entities, in order to ultimately infer about their role to the overall reform process of public sector accounting (PSA).

Taking the Portuguese case as a reference, the new institutional theory (isomorphism perspective) and institutional logics are used to explain the action and stance of pilot entities in the implementation process of reforms.

Pilot experiments are expected to provide feedback on the main difficulties felt in the implementation of a new PSA system, helping to define a global strategy to overcome those problems and to improve the system to be generally and finally put into practice. Nevertheless, entities seem to find it important to be pilots, more for individual advantages than for the common benefit of the reform as a whole. Therefore, in order for them to actually be important actors in the reform process, pilots need to be included in the decision process, better realizing the benefits of the new IPSAS-based system and be provided with the proper technical, human and financial support.

This research suffers from some limitations, namely concerning the use of questionnaires. The findings may, in some points, reflect the perceptions of the respondents and not the actual reality. Additionally, the respondents were not asked about any personal background factors, which may influence their answers. Also, they did not allow relating the new PSA system features with the way pilot entities (re)acted. In regard to the implications for practice, the study points to a need for decision-makers and external support bodies to work more closely with pilot entities in the overall design and implementation of PSA reforms. Pilot entities need to understand the importance and usefulness of changes, and reform authorities need to better recognize their institutional reality and the support they require. Only in this way, the use of pilots can make a difference in the implementation of PSA innovations.

This paper contributes to theory by adding to a better understanding of the role of the ones acting in the development and implementation of PSA innovations, enlightening on how pilot entities can act/react. Despite several studies on PSA reforms, very few so far have addressed pilot entities in particular, their attitude and actual contribution toward PSA reforms, and why. The case of Portugal as a frontrunner in adopting an IPSAS-based system within the EU helps contribute to that understanding in the setting of European countries.

This study aims to explore the transmission mechanism of individual idea generation on team idea implementation and elucidate the relationships among team knowledge territoriality, team information exchange and team trust, which can better improve team knowledge sharing, decrease individual knowledge hiding or territoriality and assist the team in solving the predicament of idea implementation.

The data were collected by the paired method from 56 Chinese companies’ R&D teams, which comprised 356 valid samples. Besides, structure equitation modeling and hierarchical linear modeling were used to test the hypotheses.

Team knowledge territoriality had a significant positive impact on individual idea generation, team information exchange and team idea implementation. Team information exchange mediated the relationship between team knowledge territoriality and team idea implementation. Moreover, team information exchange positively moderated the relationship between team knowledge territoriality and individual idea generation. Furthermore, the relationship between individual idea generation and team idea implementation was mediated by team trust.

This study augments the theoretical research of territoriality and innovation process. From the viewpoint of knowledge territoriality to describe the coexistence of knowledge sharing and knowledge hiding in the organization, this study reveals the influence mechanism of team knowledge territoriality on team innovation process. Overall, this study provides empirical support that team territoriality can weaken the adverse impact of individual territoriality on innovation to a certain extent.

The purpose of this study is to explore the mediation effect of volatile economic conditions on performance benefits of successful kean manufacturing implementation (LMI). The mediating factor of economic volatility (EV) is constructed based on four macroeconomic dimensions – supplier uncertainty, market demand fluctuations, governmental policy changes and peer competition.

An attempt is made to build an exhaustive list of the internal operational manifests grouped into one human and three technical input factors. Similarly the benefits accrued are collated under two performance measures – customer satisfaction (CS) and organizational goal satisfaction (OGS). Based on data from the Indian manufacturing sector, structural equation modelling (SEM) and ordinary least square (OLS) analyses are carried out to validate the proposed model.

Results of the structural model validate the first six hypotheses posited in the model. Results of OLS further reveal the mediation effect of EV having negative impact on LMI–CS and LMI–OGS nexus.

This research offers a fair understanding of the internal operational lean factors and the effect of volatile macroeconomic conditions on lean benefits. The structural model will aid the academicians and lean implementers comprehend the dimensional structure underlying the lean practices and beliefs. This work further helps to understand the moderation effect of environmental complexity on the output measures of LMI in the Indian manufacturing sector.

This work is one of the very first empirical analyses of lean performance under contingent economic conditions. The paper presents a valuable recommendation to practitioners for considering the dynamism of external economic environment instead of simply adopting standalone internal lean parameters, if satisfactory levels of performance in terms of CS and OGS are to be achieved.

This research investigates the implementation of Six Sigma in competitive tendering processes to address persistent delays by identifying the potential benefits and challenges of implementing Six Sigma in construction competitive tendering processes. The results seek to encourage practitioners to implement Six Sigma in addressing competitive tendering process delays.

Literature was reviewed to identify the benefits and challenges of Six Sigma implementation in construction processes and categorized under broad headings. Three case studies were used to authenticate the literature findings by applying Define-Measure-Analyse-Improve-Control to their construction competitive tendering processes. Furthermore, quality tools and techniques together with documentary analysis, content analysis and determination of frequencies of quantitised qualitative data were employed to identify potential benefits and challenges.

The most common Six Sigma benefits achievable in construction competitive tendering are Time Related benefits. Other benefits likely to emanate as ripple effects are Customer Focus Related, Quality Related, Process Improvement Related, Human Resource Related, Finance Related and Decision Related. However, implementation challenges should be expected.

Six Sigma implementation in construction competitive tendering promotes time efficiency. It is expected that this will encourage quantity surveyors, procurement practitioners and their institutions to implement Six Sigma in addressing persistent delays in their competitive tendering processes.

This paper demonstrates the use of merged approach under mixed method to identify the benefits and challenges of Six Sigma implementation in construction competitive tendering process within the Ghanaian context.