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PLS 2017 : 9th International Conference on PLS and Related Methods


When Jun 17, 2017 - Jun 19, 2017
Where Macau
Submission Deadline Dec 17, 2017
Categories    management   social sciences   chemometrics   sensory analysis

Call For Papers

Conference sessions

Methodological contribution and related method applications will be discussed. Now we have the following sessions:

 The application of Partial Least Squares (PLS) in Developing Country Research – by Prof. T. Ramayah
 PLS en Español – by Prof. Gabriel Cepeda Carrión and José Roldán
 PLS and Marketing Science – by Prof. Christian M. Ringle
 PLS applications on tourism and environmental studies – by Prof. Ivan Lai
 PLS research in Mainland China – by Prof. Wang Huiwen
 Understanding Big Data – by Prof. Harald Martens
 ADANCO session – Prof. Jörg Henseler
 SmartPLS session – by Prof. Christian M. Ringle

More sessions will be organized later.

Round table discussions

We will have opportunities to have extensive discussions on publication, career, etc. with highly-cited scholars in a small range. Selected Papers will be recommended and published at Sustainability (ISSN 2071-1050, IF=1.343) or Sensors (ISSN 1424-8220, IF=2.033). We are working on more opportunities to get the conference submissions published on SSCI or SCIE journals.

Experience sharing and career opportunities

Top management from universities in Macau and Zhuhai (Guangdong, China) will attend and share the working experiences. Scholars who are interested in career opportunities in Macau or Zhuhai are welcome to attend this session.

Following the long tradition of PLS'99 in Jouy-en-Josas (France), PLS'01 in Anacapri (Italy), PLS'03 in Lisbon (Portugal), PLS'05 in Barcelona (Spain), PLS'07 in Ås (Norway), PLS'09 in Beijing (P.R. China) , PLS'12 in Houston (USA) and PLS'14 in Paris (France), we are pleased toannounce the 9th International Symposium on PLS and Related Methods (PLS'17).

PLS’17 will take place on June 17th-19th, 2017 in Macau (China), organized by Macau University of Science and Technology (

This ninth edition will focus on original methodological contribution in both PLS Regression, PLS Path Modeling and their related methods with application in areas and disciplines related to Management, Social Sciences, Chemometrics, Sensory Analysis, Industry, Traditional medicine, PLS & tourism and Life Sciences including Genomics.

Please feel free to send an email to you have any question on

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