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This paper aims to identify the relationships among critical success factors (CSFs) for lean six sigma (LSS) implementation in higher education institutions (HEIs).

An extensive literature review was conducted to design the survey instrument, which the authors later administered in Mexican public HEIs to identify the existing relationships among the CSFs and their impact on the benefits obtained from implementing LSS projects. The data were empirically and statistically validated using exploratory and confirmatory factor analysis. Additionally, the authors applied the structural equation modeling (SEM) technique on SPSS Amos to validate the nine hypotheses supporting the research.

The results suggest that the success of LSS projects in HEIs is highly bound to a serious commitment from top management and several interrelated factors.

The main limitations of the study are that the research is cross-sectional in nature and regional in focus. Namely, the data used to validate the structural model were gathered from a small representative subset of the study population – i.e. Mexican public HEIs – and at a specific point in time.

The results reported here represent a reference framework for HEIs worldwide that wish to continuously improve their processes through LSS improvement projects.

This study proposes a statistically validated model using the SEM technique that depicts the relationships among LSS CSFs in HEIs.

This paper aims to provide new and valuable insights for organizations that have decided to implement Lean Six Sigma (LSS) as a strategy for continuous improvement in search of business excellence. This objective is achieved through statistically modeling the causal relationships between the critical success factors (CSFs) of LSS for a successful deployment of this strategy.

A statistically validated questionnaire was used to collect information from LSS practitioners in manufacturing industries located on Mexico’s northern border. Some hypotheses for relationships between LSS CSFs are developed theoretically first and empirically tested later using the structural equation modeling technique.

Proposed relationships between LSS CSFs have been demonstrated to be statistically significant, making clear that this implementation should always begin with a strong and decided participation and commitment of top management. Later, other CSFs must be activated and put into operation in a specified order to increase the probability of a successful implementation reflected in well-executed continuous improvement projects and achieving the expected benefits.

This paper proposes a structural model which has been statistically validated with information directly collected from skilled practitioners who have developed continuous improvement projects using the LSS methodology. Further, some relationships between LSS CSFs that, to the best of the author’s knowledge, had not been demonstrated empirically are now explored and verified in our work.

The objective of this article is to identify the relationships between the enablers in the implementation of Green Lean Six Sigma (GLSS) in the Mexican manufacturing industry (MMI).

To create the survey instrument, the authors did an extensive literature research, which they then applied in the MMI to find the relationships between enablers and their impact on the positive effects of implementing GLSS projects. Using exploratory and confirmatory factor analyses (EFA and CFA), the data were empirically and statistically corroborated. Furthermore, the authors validated the hypotheses that support the research using the structural equation modeling (SEM) approach in SPSS Amos.

The findings reveal that leadership has a positive impact on social and economic benefits (EcB), as well as an indirect impact on the environmental benefits (EB) of GLSS projects, with organizational involvement (OI) and performance measurement (PM) functioning as mediators.

This study represents an empirical reference for practitioners and researchers pursuing high-quality, low-cost, environmentally and socially sustainable products or processes through the implementation of GLSS projects in the manufacturing industry.

This study provides a statistically validated model using the SEM technique to represent the relationships between GLSS enablers in the MMI.

The purpose of this paper is to measure the relationships between advanced manufacturing technologies (AMTs) categories (stand-alone, intermediated and integrated systems) implementation and design, process and commercial benefits obtained.

A survey is designed with benefits gained from AMT implementation as well as its categories, which is applied to the maquiladora industry. A structural equation model with data from 383 responses is used to measure the relationship between AMT categories and benefits gained using nine hypotheses that are tested statistically significant using partial least squares. Also, using conditional probabilities, a sensitivity analysis reports how low and high levels from AMT implementation influence on the obtained benefits.

Integrated systems are the most important AMT for maquiladoras and have the strongest impact on design, processes and commercial benefits.

Data obtained support the model, but results may be different in another industrial sector and countries with different labor culture and technological level.

Managers in maquiladora industry must focus their attention on integrated manufacturing systems, because high implementation levels guarantee the biggest probability to gain benefits in design, production process and commercial.

The relationship between AMT and their benefits has not been measured in depth, and this paper contributes to understand that problem. In addition, this paper is the first to report a sensitivity analysis that enables managers to acknowledge the probability of obtaining certain benefits.

The purpose of this paper is to analyse the relationship between a supportive organisational climate and training process outcomes; to analyse the mediating effect of job satisfaction between a supportive organisational climate and training process outcomes; and to analyse the moderating effect of a proactive attitude on a supportive organisational climate and training process outcomes.

The participants consisted of 359 employees recruited from 18 companies in Spain. The hypotheses were tested with structural equations via partial least squares regression.

The data indicated a positive and statistically significant relationship between a supportive organisational climate and training process outcomes. The proposed moderating and mediating effects are also verified.

This work contributes to the literature on human resource management and the relationship between organisational behaviour and training outcomes. In addition, it shows the role of attitudes between organisational climate and training outcomes.

The purpose of this paper is to analyze the effects of both managerial commitment and the professional development of human resources on the benefits obtained from Kaizen implementation at the planning stage in Mexican maquiladora companies.

As part of the methodology, a questionnaire is validated and administered to 423 workers in different companies from the states of Tabasco, Baja California, Sinaloa and Chihuahua. Moreover, a structural equation model is proposed to relate four latent variables: two concerning managerial commitment and the professional development of human resources, and two more related to the kinds of benefits obtained (economic and for human resources).

Results demonstrate that managerial commitment has a direct and positive impact on economic benefits and those for human resources. The major contribution of this study is, however, the determination of dependency measures between these variables.

This research contributes to the improvement and change, since the results of the research can be extended to the sustainability of other improvement activities, presenting additional areas for future research, such understanding will increase the likelihood that the results of application of Kaizen are sustained, eliminating waste and improving support within the organization. Finally, this research makes contributions to the field of industrial engineering and management disciplines of engineering and operations management, as it focusses on the improvement of integrated systems of people, materials, information, equipment and energy, these systems they are integral to the modeling of this investigation.

This study tests the hypotheses and their relation to the sustainability of Kaizen in time for them to use the analysis technique of structural equations. For the author, this is the first study to determine the causal relationships between the critical success factors and benefits of Kaizen, determining a measure of dependence between them.