1,721,056 research outputs found
A note on how to conduct a factor-based PLS-SEM analysis
No full textThe composite-factor estimation dichotomy has been the epicenter of a long and ongoing debate among proponents and detractors of the use of the partial least squares (PLS) approach for structural equation modeling (SEM). In this brief research note the author discusses the implementation of a new method to conduct factor-based PLS-SEM analyses, which could be a solid step in the resolution of this debate. This method generates estimates of both true composites and factors, in two stages, fully accounting for measurement error. The author\u27s discussion is based on an illustrative model in the field of e-collaboration. A Monte Carlo experiment suggests that model parameters generated by the method are asymptotically unbiased. The method is implemented as part of the software WarpPLS, starting in version 5.0. This note provides enough details for the method\u27s implementation in other venues such as R and GNU Octave
Common method bias in PLS-SEM: A full collinearity assessment approach
No full textThe author discusses common method bias in the context of structural equation modeling employing the partial least squares method (PLS-SEM). Two datasets were created through a Monte Carlo simulation to illustrate the discussion: one contaminated by common method bias, and the other not contaminated. A practical approach is presented for the identification of common method bias based on variance inflation factors generated via a full collinearity test. The author\u27s discussion builds on an illustrative model in the field of e-collaboration, with outputs generated by the software WarpPLS. They demonstrate that the full collinearity test is successful in the identification of common method bias with a model that nevertheless passes standard convergent and discriminant validity assessment criteria based on a confirmation factor analysis
Hypothesis testing with confidence intervals and P values in PLS-SEM
No full textE-collaboration researchers usually employ P values for hypothesis testing, a common practice in a variety of other fields. This is also customary in many methodological contexts, such as analyses of path models with or without latent variables, as well as simpler tests that can be seen as special cases of these (e.g., comparisons of means). The author discusses here how a researcher can use another major approach for hypothesis testing, the one building on confidence intervals, in analyses of path models with latent variables employing partial least squares structural equation modeling (PLSSEM). The author contrasts this approach with the one employing P values through the analysis of a simulated dataset, created based on a model grounded on past theory and empirical research. The model refers to social networking site use at work and its impact on job performance. The results of the analyses suggest that tests employing confidence intervals and P values are likely to lead to very similar outcomes in terms of acceptance or rejection of hypotheses
The Influence of Supply Chain Collaboration on Process, Relational and Product Innovations
No full textAdvantages of nonlinear over segmentation analyses in path models
No full textThe recent availability of software tools for nonlinear path analyses, such as WarpPLS, enables e-collaboration researchers to take nonlinearity into consideration when estimating coefficients of association among linked variables. Nonlinear path analyses can be applied to models with or without latent variables, and provide advantages over data segmentation analyses, including those employing finite mixture segmentation techniques (a.k.a. FIMIX). The latter assume that data can be successfully segmented into subsamples, which are then analyzed with linear algorithms. Nonlinear analyses employing WarpPLS also allow for the identification of linear segments mirroring underlying nonlinear relationships, but without the need to generate subsamples. The author demonstrates the advantages of nonlinear over data segmentation analyses
Evolving Information Ecologies:The Appropriation of New Media in Organizations
No full textThis chapter examines how people in organizations appropriate new computer-based media, that is, how they adopt, reconfigure, and integrate advanced communication technologies such as groupware or desktop conferencing systems into their work practice. The chapter presents and analyzes findings from an in-depth field study of the adoption and use of a Web-based groupware application—a “virtual workspace”—in a large multinational firm. The analysis focuses, in particular, on the fact that people in modern organizations have plenty of media at their disposal and often combine old and new media to accomplish their work tasks. Furthermore, it highlights the crucial role of organizational communication genres in shaping how people adopt and use new media. The authors argue that understanding and facilitating the process of appropriation is the key to the successful introduction of new media in organizations
Determinants of Manufacturing Firms' Intent to Use Web Based Systems to Share Inventory Information with their Key Suppliers
No full textBased on the literature on the diffusion of innovations and on information systems, and building on emerging concepts in electronic collaboration (e-collaboration), this article measures the influence of various determinants on manufacturing firms’ intent to use Web-based inter-organizational information systems (IOISs) to share inventory information with their key suppliers. This theoretical model is tested on data collected from 498 senior managers of Canadian manufacturing firms. Our findings indicate that a manufacturing firm’s organizational readiness, its past experience with e-commerce and its business relationships all affect its future use of Web-based IOISs to share inventory information with its key suppliers. The results of Tobit regressions also provide supporting evidence that firm size moderates the impact of the present use of e-commerce with suppliers on manufacturing firms’ intent to use Web-based IOISs to share inventory information with key suppliers.</p
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