Prediction: Coveted, Yet Forsaken? Introducing a Cross‐Validated Predictive Ability Test in Partial Least Squares Path Modeling-Reference-Cited by-同舟云学术

Prediction: Coveted, Yet Forsaken? Introducing a Cross‐Validated Predictive Ability Test in Partial Least Squares Path Modeling

Published:2020-05-22 Issue:2 Volume:52 Page:362-392
ISSN:0011-7315
Container-title:Decision Sciences
language:en
Short-container-title:Decision Sciences

Author:

Liengaard Benjamin Dybro¹,Sharma Pratyush Nidhi²,Hult G. Tomas M.³^ORCID,Jensen Morten Berg¹,Sarstedt Marko⁴,Hair Joseph F.⁵,Ringle Christian M.⁶

Affiliation:

1. Department of Economics and Business Economics Aarhus University Fuglesangs Alle 4 Aarhus V DK 8210 Denmark

2. Alfred Lerner College of Business and Economics University of Delaware 217 Purnell Hall Newark DE 19716

3. Broad College of Business Michigan State University East Lansing MI 48824

4. Faculty of Economics and Management Universitätsplatz 2, 39106 Magdeburg, Germany, and School of Business and GA21, Monash University Malaysia Otto‐von‐Guericke‐University Magdeburg Subang Jaya Malaysia

5. Cleverdon Chair of Business University of South Alabama Mobile AL 36688

6. Department of Management Sciences and Technology Am Schwarzenberg‐Campus 4, 21073 Hamburg, Germany, and Waikato Management School Hamburg University of Technology (TUHH) University of Waikato Hamilton 3240 New Zealand

Publisher

Wiley

Subject

Management of Technology and Innovation,Information Systems and Management,Strategy and Management,General Business, Management and Accounting

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/deci.12445

Reference102 articles.

1. Foundations of the American Customer Satisfaction Index

2. Beyond prediction: Using big data for policy problems

3. Becker J.‐M. Rai A. &Rigdon E. E.(2013).Predictive validity and formative measurement in structural equation modeling: Embracing practical relevance. 2013Proceedings of the International Conference on Information Systems Milan Italy.

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