Partial least squares path modeling using ordinal categorical indicators

Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K.

doi:10.1007/s11135-016-0401-7

Cited by 108 publications

(81 citation statements)

References 64 publications

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“…To explain more accurately the predictive effect, we have added a goodness of fit test. When the standardized value of the residual quadratic mean (SRMR) is in a range (<0.08-0.1), there is an acceptable adjustment (Schuberth, Henseler, & Dijkstra, 2018). Our result (0.090) confirms that the proposed model has an acceptable predictive quality and that the empirical results are consistent with the theory.…”

Section: Structural Modelsupporting

confidence: 77%

Barriers Affecting the Passion and Entrepreneurial Intention of University of the ITSON

Valdez-Juárez¹,

Lema²,

Ramos-Escobar³

2020

IES

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The purpose of this article is to analyze the internal and external barriers experienced by university students of the Technological Institute of Sonora (ITSON) for the development of entrepreneurship. The study is focused on a sample of 733 students from the areas of engineering, administrative sciences, and social sciences. The field work was carried out during the months of May to September 2018. The controlled statistical technique for data analysis was the structural equation model (SEM) with the support of SMARTPLS software version 3.2.8. The results have revealed that internal creativity barriers are the ones that most negatively impact the entrepreneurial passion of ITSON university students. This research contributes to the development of entrepreneurship literature from the area of psychology and business sciences through planned behavior theory, cognitive theory, and self-determination.

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Section: Structural Modelsupporting

confidence: 77%

Barriers Affecting the Passion and Entrepreneurial Intention of University of the ITSON

Valdez-Juárez¹,

Lema²,

Ramos-Escobar³

2020

IES

View full text Add to dashboard Cite

show abstract

“…To explain more accurately the predictive effect, we have added a goodness of fit test. When the standardized value of the residual quadratic mean (SRMR) is in a range (<0.08-0.1), there is an acceptable adjustment (Schuberth, Henseler, & Dijkstra, 2018). Our result of 0.080 confirms that the proposed model has an acceptable predictive quality and that the empirical results are consistent with the theory.…”

Section: Structural Modelsupporting

confidence: 73%

Open Innovation and CSR, Determinants in Logistics and Performance in Commercial SMES

Valdez-Juárez¹,

Ramos-Escobar²,

Guzmán³

et al. 2020

IBR

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The purpose of this article is to examine the effects of open innovation and corporate environmental social responsibility on logistics and performance that is manifested in SMEs. The research is based on a sample of 101 companies located in the Guaymas Sonora region located in the Northwest of Mexico. The data collection was carried out in a period between September and November 2019, with the support of a structured self-directed survey of the company manager. For the analysis and validation of the results, the statistical technique of structural equation modeling (SEM) based on variance through PLS (Partial Least Square) has been used. The results indicate that open innovation and environmental corporate social responsibility have a significant influence on the logistics processes of SMEs, and that logistics is also a business practice that allows to increase Performance. The work contributes to the development of the literature and theory of dynamic capabilities and sustainability.

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“…To evaluate the measurement model with variables of the reflective type for first-and second-order constructs in (A) mode, the following statistical parameters have been analyzed: 1) Individual reliability of the item, 2) reliability of the construct (internal consistency), 3) convergent validity, and 4) discriminant validity. For the evaluation of the second-order multidimensional construct (CSR), the two-step approach was used through the construction of latent variables [104,105]. In the first step, the first-order dimensions are estimated, and in the second step these scores are used to model the second-order construct [106].…”

Section: Reliability and Validitymentioning

confidence: 99%

Organizational Learning and Corporate Social Responsibility Drivers of Performance in SMEs in Northwestern Mexico

2019

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The main objective of this article is to examine the effects of the organizational learning and corporate social responsibility (social, economic and environmental) practices that exert on the financial performance of SMEs (small and medium enterprises). The research is based on a sample of 343 companies of which 19.8% belong to the primary sector, 26.6% to the secondary sector and 53.6% to the tertiary sector of the northwestern region of Mexico. The data were collected from February to May 2018 with the support of a self-directed structured survey of company managers. For the analysis and validation of the results, the statistical technique of the structural equations model (SEM) based on the variance was used to validate the structured relationships in this investigation through PLS (partial least squares). These analyses were prepared with the support of SmartPLS version 3.2.8 Professional. The results indicate that OLE (organizational learning) is a key element to strengthen CSR (corporate social responsibility) practices and increase financial performance in these types of companies, and that CSR is key to increasing financial performance. In addition, it was found that the OLE is a variable that mediates the relationship between CSR and financial performance. The work contributes to the development of the literature of organizational learning, the theory of resources and capabilities, and stakeholder theory

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Partial least squares path modeling using ordinal categorical indicators

Cited by 108 publications

References 64 publications

Barriers Affecting the Passion and Entrepreneurial Intention of University of the ITSON

Barriers Affecting the Passion and Entrepreneurial Intention of University of the ITSON

Open Innovation and CSR, Determinants in Logistics and Performance in Commercial SMES

Organizational Learning and Corporate Social Responsibility Drivers of Performance in SMEs in Northwestern Mexico

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