{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T00:12:05Z","timestamp":1776471125208,"version":"3.51.2"},"reference-count":7,"publisher":"IGI Global","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,10,1]]},"abstract":"<p>Most relationships between variables describing natural and behavioral phenomena are nonlinear, with U-curve and S-curve relationships being particularly common. Yet, structural equation modeling software tools do not estimate coefficients of association taking nonlinear relationships between latent variables into consideration. This can lead to misleading results, particularly in multivariate and complex phenomena like those related to e-collaboration. One notable exception is WarpPLS (available from: warppls.com), a new structural equation modeling software currently available in its first release. The discussion presented in this paper contributes to the literature on e-collaboration research methods by providing a description of the main features of WarpPLS in the context of an e-collaboration study. The focus of this discussion is on the software\u2019s features and their use and not on e-collaboration study itself. Particular emphasis is placed on the five steps through which a structural equation modeling analysis is conducted through WarpPLS.<\/p>","DOI":"10.4018\/jec.2010100101","type":"journal-article","created":{"date-parts":[[2011,2,15]],"date-time":"2011-02-15T20:17:01Z","timestamp":1297801021000},"page":"1-11","source":"Crossref","is-referenced-by-count":136,"title":["Using WarpPLS in E-collaboration Studies"],"prefix":"10.4018","volume":"6","author":[{"given":"Ned","family":"Kock","sequence":"first","affiliation":[{"name":"Texas A&M International University, USA"}]}],"member":"2432","reference":[{"key":"jec.2010100101-0","doi-asserted-by":"publisher","DOI":"10.1287\/isre.14.2.189.16018"},{"issue":"7","key":"jec.2010100101-1","first-page":"1","article-title":"Structural equation modeling and regression: Guidelines for research practice.","volume":"4","author":"D.Gefen","year":"2000","journal-title":"Communications of the AIS"},{"key":"jec.2010100101-2","doi-asserted-by":"publisher","DOI":"10.1207\/s15328031us0304_4"},{"key":"jec.2010100101-3","author":"J. F.Hair","year":"1987","journal-title":"Multivariate data analysis"},{"key":"jec.2010100101-4","author":"N.Kock","year":"2010","journal-title":"WarpPLS 1.0 User Manual"},{"key":"jec.2010100101-5","author":"A. C.Rencher","year":"1998","journal-title":"Multivariate statistical inference and applications"},{"key":"jec.2010100101-6","author":"R.Rosenthal","year":"1991","journal-title":"Essentials of behavioral research: Methods and data analysis"}],"container-title":["International Journal of e-Collaboration"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=46977","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T15:58:22Z","timestamp":1654099102000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/jec.2010100101"}},"subtitle":["An Overview of Five Main Analysis Steps"],"short-title":[],"issued":{"date-parts":[[2010,10,1]]},"references-count":7,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2010,10]]}},"URL":"https:\/\/doi.org\/10.4018\/jec.2010100101","relation":{},"ISSN":["1548-3673","1548-3681"],"issn-type":[{"value":"1548-3673","type":"print"},{"value":"1548-3681","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,10,1]]}}}