Browsing by Autor "Martha Corredor-Rojas"
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Item type: Item , Data set documentation of two surveys to identify and validate the critical success factors (CSFs) in the implementation of Lean Six Sigma (LSS) in Colombian manufacturing SMEs(European Organization for Nuclear Research, 2022) Martha Corredor-Rojas; David Álvarez‐Martínez; Fidel Torres DelgadoDocumentation describing the data sets of two surveys conducted with the aim of identifying and validating critical success factors (CSFs) in the implementation of Lean Six Sigma (LSS) in manufacturing SMEs in Colombia is included. The first, at a general level and named <strong><em>E1</em></strong>, had the objective of identifying manufacturing SMEs in Colombia that have implemented Lean, Six Sigma or LSS. The second, of a specific level and named <strong><em>E2</em></strong>, was applied in the SMEs found in <strong><em>E1</em></strong> and had the objective of identifying and prioritizing the CSFs in the implementation of LSS and to assess their importance and practice using Likert-type scales. It also made it possible to identify the best-known and most used LSS tools and investigate the specific results of LSS implementation in SMEs. The questionnaire proposed by J. Antony et al. (2008) and adapted by Timans et al. (2012) for LSS was used. The consent to use is included in the documentation. The technical concept of four LSS experts in Colombia was requested to adapt expressions to the context. In the statistical validation phase of the identified CSFs, the estimation of a set of statistical criteria commonly used in psychometric research was made using statistical software SPSS® Version 26 from IBM®. The validation of the factorial structure of the complete model made up of the identified factors and their observable variables was done through a Confirmatory Factorial Analysis using the graphic software SPSS Amos® Version 26 also from IBM®. To build the graphic model the observable variables (statements in the questionnaire E2 of Section III) were represented by rectangles and identified with the letter P (question in Spanish) and with the number according to the order of appearance from 1 to 51 (Example, P1). The critical success factors (CSFs), which are the variables that are not directly measurable or latent, were represented with ovals and identified with the letter F for factor and with the number according to the order of appearance in the questionnaire E2 Section III from 1 through 13 (Example, F1) The following documentary support files are included: <em>Dataset documentation.pdf</em> file <em>Consent for the use of the E2 questionnaire.pdf</em> file Anonymized data from <strong><em>E1</em></strong> survey with 352 complete responses in the <em>E1_survey_dataset.exc</em> file. Anonymized data from <strong><em>E2</em></strong> survey with 44 complete responses in the <em>E2_survey_dataset.exc</em> file. <strong><em>E1</em></strong> survey instrument with all survey items in the <em>E1_survey_instrument.p</em>df file. <strong><em>E2</em></strong> survey instrument with all survey items in the <em>E2_survey_instrument.pdf</em> file. Factorial structure of the CSFs of the initial model in the <em>CFA_CSF </em>Amos file. <em>CSFs</em> SPSS file.Item type: Item , Data set documentation of two surveys to identify and validate the critical success factors (CSFs) in the implementation of Lean Six Sigma (LSS) in Colombian manufacturing SMEs(European Organization for Nuclear Research, 2022) Martha Corredor-Rojas; David Álvarez‐Martínez; Fidel Torres DelgadoDocumentation describing the data sets of two surveys conducted with the aim of identifying and validating critical success factors (CSFs) in the implementation of Lean Six Sigma (LSS) in manufacturing SMEs in Colombia is included. The first, at a general level and named <strong><em>E1</em></strong>, had the objective of identifying manufacturing SMEs in Colombia that have implemented Lean, Six Sigma or LSS. The second, of a specific level and named <strong><em>E2</em></strong>, was applied in the SMEs found in <strong><em>E1</em></strong> and had the objective of identifying and prioritizing the CSFs in the implementation of LSS and to assess their importance and practice using Likert-type scales. It also made it possible to identify the best-known and most used LSS tools and investigate the specific results of LSS implementation in SMEs. The questionnaire proposed by J. Antony et al. (2008) and adapted by Timans et al. (2012) for LSS was used. The consent to use is included in the documentation. The technical concept of four LSS experts in Colombia was requested to adapt expressions to the context. In the statistical validation phase of the identified CSFs, the estimation of a set of statistical criteria commonly used in psychometric research was made using statistical software SPSS® Version 26 from IBM®. The validation of the factorial structure of the complete model made up of the identified factors and their observable variables was done through a Confirmatory Factorial Analysis using the graphic software SPSS Amos® Version 26 also from IBM®. To build the graphic model the observable variables (statements in the questionnaire E2 of Section III) were represented by rectangles and identified with the letter P (question in Spanish) and with the number according to the order of appearance from 1 to 51 (Example, P1). The critical success factors (CSFs), which are the variables that are not directly measurable or latent, were represented with ovals and identified with the letter F for factor and with the number according to the order of appearance in the questionnaire E2 Section III from 1 through 13 (Example, F1) The following documentary support files are included: <em>Dataset documentation.pdf</em> file <em>Consent for the use of the E2 questionnaire.pdf</em> file Anonymized data from <strong><em>E1</em></strong> survey with 352 complete responses in the <em>E1_survey_dataset.exc</em> file. Anonymized data from <strong><em>E2</em></strong> survey with 44 complete responses in the <em>E2_survey_dataset.exc</em> file. <strong><em>E1</em></strong> survey instrument with all survey items in the <em>E1_survey_instrument.p</em>df file. <strong><em>E2</em></strong> survey instrument with all survey items in the <em>E2_survey_instrument.pdf</em> file. Factorial structure of the CSFs of the initial model in the <em>CFA_CSF </em>Amos file. <em>CSFs</em> SPSS file.Item type: Item , Lean Six Sigma implementation model in manufacturing SMEs in a developing country: a latent variable modelling approach(Emerald Publishing Limited, 2025) Martha Corredor-Rojas; David Álvarez‐Martínez; José TorresPurpose Research on Lean Six Sigma (LSS) in manufacturing small- and medium-sized enterprises (SMEs) in developing countries is scarce. This study aims to establish an LSS implementation model tailored to these companies in Colombia, using a hierarchical structure of the critical success factors (CSFs) identified and validated through a latent variable modelling approach. Design/methodology/approach A comprehensive literature review was conducted, and data were collected via online surveys of manufacturing SMEs. The surveys characterised the level of LSS implementation and identified CSFs (latent variables). These factors were then validated using psychometric tests and confirmatory factor analysis (CFA). Findings Among 352 surveyed SMEs, 22.7% have implemented Lean, Six Sigma or LSS. Eight latent variables out of 13 initial factors were corroborated through validation. Alignments between statistical estimator values and the constructs’ conceptual meanings facilitated objective comparisons, substitutions and exclusions of variables and factors. This guided evidence-based decisions to refine the model, uncovering relationships between variables applicable to SMEs’ reality. The result is an LSS implementation model that considers these context-specific relationships. Research limitations/implications This study relied on quantitative surveys and statistical analysis; future work could complement it with qualitative methods like case studies. The latent variable modelling approach demonstrated can be used to analyse and validate variables affecting organisational strategies implementation. Originality/value This research offers a novel structured approach for deploying LSS in SMEs, derived from CSFs validated through the latent variable modelling approach and organised hierarchically according to their average scores. It advances practical and theoretical understanding of LSS implementation in developing countries – particularly Colombia – and provides an evidence-based implementation framework for practitioners in similar contexts.