An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM

Reinartz, Werner; Haenlein, Michael; Henseler, Jörg

doi:10.2139/ssrn.1462666

Cited by 349 publications

(415 citation statements)

References 92 publications

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“…Third, this approach places fewer restrictions on data distribution and normality. Fourth, PLS-PM is generally more favorable for more complex models, such as ours, which uses 42 items (Hair et al 2012;Reinartz et al 2009). …”

Section: Analyses and Resultsmentioning

confidence: 94%

Do Entrepreneurial SMEs Perform Better Because They are More Responsible?

2016

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Many scholars have investigated the direct impact of entrepreneurial orientation (EO) on performance, but this direct association seems both spurious and ambiguous because many parameters may have an indirect influence on this relationship. The present study thus considers sustainable practices-environmental practices, social practices in the workplace (SPW), and social practices in the community (SPC)-as three probable mediators in the relationship between EO and performance, which is considered in terms of its financial and non-financial dimensions. We seek to show to what extent small-and medium-sized enterprises' (SMEs) sustainable practices are useful assets, which are supported by EO, to improve performance. Using a structural equation modeling approach, data collected from 406 French SMEs were tested against the model. Our findings reveal that EO has a positive impact on the implementation of sustainable practices and that SPW partially mediate the link between EO and performance. Taken together, these findings suggest that EO plays a role in indirectly promoting performance by enhancing certain human resource management practices.

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Section: Analyses and Resultsmentioning

confidence: 94%

Do Entrepreneurial SMEs Perform Better Because They are More Responsible?

2016

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“…compared to the large number of indicators per construct makes PLS-SEM a good choice as compared to the more traditional covariance-based structural equation modeling (CB-SEM) (Reinartz, Haenlein, & Henseler, 2009), with the large number of indicators and complexity of the model actually helping to lessen the effects of PLS-SEM bias (Lohmoller, 1989;Reinartz et al, 2009;Ringle, Gotz, Wetzels, & Wilson, 2009). …”

Section: Preliminary Data Examinationmentioning

confidence: 99%

Collaboration, connectedness, and community: An examination of the factors influencing student persistence in virtual communities

Laux

Luse

Mennecke

2016

Computers in Human Behavior

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Institutions of higher education are being called upon to provide a more robust pathway to a college degree and improve upon the advanced workforce for the needs of the 21 st century. While active collaborative learning environments have been encouraged in higher education to improve student engagement, there is a gap in the literature when it comes to connecting the two research areas of collaborative learning and student intention to persist. This research fills this gap by creating and conducting research to examine a model that measures the factors that significantly influence a student's persistence in a virtual collaborative learning environment. The model examines how collaborative learning, campus connectedness, sense of community, organizational commitment, and turnover intention influence student persistence. The model was tested using a sample of students who participated in a virtual learning community (VLC) and the results suggest that all but one of the factors were found to significantly influence student persistence, with the final factor dependent on the number of hours of system usage. We discuss the implications of the research and the model for team-based theory and organizational practice in education and teamwork.

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“…To test for causal relationships in the proposed research model, the partial least squares approach (PLS) was used. This method is suitable for testing complex causal models with small sample size and has less stringent assumptions about normality of data than other methods [65][66][67][68] . PLS analysis involves two stages: (i) the evaluation of the reliability and validity of the measurement model; and (ii) the evaluation of the goodness of fit of the structural model 66 .…”

Section: Statistical Proceduresmentioning

confidence: 99%

Mature and Emerging Organic Markets: Modelling Consumer Attitude and Behaviour With Partial Least Square Approach

Meyer-Höfer

Jaik

Bravo

et al. 2015

Journal of Food Products Marketing

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractAlthough the organic food sector has been the subject of research for around 20 years, little is known about consumer behaviour when comparing developed and emerging organic food markets using causal research models. Thus, by developing a behavioural model based on the Theory of Planned Behaviour (TPB), the aim of this research article is to investigate the main determinants of organic food consumption in a mature (Germany) and an emerging (Chile) organic market. Subjects aged 18 or above were consulted about their attitudes towards, intention to consume, and stated consumption behaviour of organic food via an online survey in both countries. Items related to social norms and perceived behaviour control (PBC) were also included in the assessments. Exploratory factor analysis was used to identify key constructs in the proposed research model. Afterwards, a partial least squares (PLS) approach was used to assess causal relationships, and significant differences between countries were also tested. The proposed behavioural model was suitable for predicting individuals' behaviour in Chile and Germany. Nevertheless, the findings indicate that the model was able to explain more variance in Germany than in Chile. In line with the TPB, intention to buy organic food is a good predictor of behaviour. In addition, both altruistic and egoistic arguments are significant drivers of attitude towards and intention to buy organic food in Germany. In Chile, only altruistic motives have a significant impact on consumer attitude and intentions. The results of this study have implications for marketers and policy-makers in both countries. The use of altruistic arguments in organic food marketing is a key aspect that should be considered in communication campaigns to increase organic food demand in both countries. However, along with the evolution of the organic market in Chile, egoistic aspects related to organic consumption might also gain importance in determining consumer behaviour, as is already the case in Germany. In both countries, information should be comprehensive and communicated by a credible source to enable growing consumer trust in the organic food sector as a sustainable alternative to conventional food supply. The barriers that deter organic food consumption have to be addressed by marketers and policy-makers with great attention; these include not only information but also the lack of availability, especially in Chile, and ...

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An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM

Cited by 349 publications

References 92 publications

Do Entrepreneurial SMEs Perform Better Because They are More Responsible?

Do Entrepreneurial SMEs Perform Better Because They are More Responsible?

Collaboration, connectedness, and community: An examination of the factors influencing student persistence in virtual communities

Mature and Emerging Organic Markets: Modelling Consumer Attitude and Behaviour With Partial Least Square Approach

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