Advanced issues in PLS path modelling : : new guidelines for business and information systems research /

Advanced issues in PLS path modelling : : new guidelines for business and information systems research / / guest editors: Wen-Lung Shiau [and three others].

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Bibliographic Details
Superior document:Industrial management and data systems ; Volume 120, Number 12 2020,
TeilnehmendeR:
Shiau, Wen-Lung,
Place / Publishing House:[Place of publication not identified] : : Emerald Publishing,, [2020]
Year of Publication:2020
Language:English
Series:Industrial management & data systems (Unnumbered) ; Volume 120, Number 12 2020.
Online Access:
Physical Description:1 online resource (295 pages).
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(OCoLC)1237865838
collection bib_alma
record_format marc
spelling Advanced issues in PLS path modelling : new guidelines for business and information systems research / guest editors: Wen-Lung Shiau [and three others].
[Place of publication not identified] : Emerald Publishing, [2020]
1 online resource (295 pages).
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Industrial management and data systems ; Volume 120, Number 12 2020, 0263-5577
Includes bibliographical references.
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Least squares Data processing.
Regression analysis Data processing.
Structural equation modeling Data processing.
Electronic books.
Shiau, Wen-Lung, editor.
ProQuest (Firm)
Industrial management & data systems (Unnumbered) ; Volume 120, Number 12 2020.
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6478168 Click to View
language English
format eBook
author2 Shiau, Wen-Lung,
author_facet Shiau, Wen-Lung,
author2_variant w l s wls
author2_role TeilnehmendeR
title Advanced issues in PLS path modelling : new guidelines for business and information systems research /
spellingShingle Advanced issues in PLS path modelling : new guidelines for business and information systems research /
Industrial management and data systems ;
title_sub new guidelines for business and information systems research /
title_full Advanced issues in PLS path modelling : new guidelines for business and information systems research / guest editors: Wen-Lung Shiau [and three others].
title_fullStr Advanced issues in PLS path modelling : new guidelines for business and information systems research / guest editors: Wen-Lung Shiau [and three others].
title_full_unstemmed Advanced issues in PLS path modelling : new guidelines for business and information systems research / guest editors: Wen-Lung Shiau [and three others].
title_auth Advanced issues in PLS path modelling : new guidelines for business and information systems research /
title_new Advanced issues in PLS path modelling :
title_sort advanced issues in pls path modelling : new guidelines for business and information systems research /
series Industrial management and data systems ;
series2 Industrial management and data systems ;
publisher Emerald Publishing,
publishDate 2020
physical 1 online resource (295 pages).
isbn 9781800718968 (e-book)
issn 0263-5577
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA275
callnumber-sort QA 3275 A383 42020
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6478168
illustrated Not Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 511 - General principles of mathematics
dewey-full 511.42
dewey-sort 3511.42
dewey-raw 511.42
dewey-search 511.42
oclc_num 1237865838
work_keys_str_mv AT shiauwenlung advancedissuesinplspathmodellingnewguidelinesforbusinessandinformationsystemsresearch
status_str n
ids_txt_mv (MiAaPQ)5006478168
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carrierType_str_mv cr
hierarchy_parent_title Industrial management and data systems ; Volume 120, Number 12 2020,
hierarchy_sequence Volume 120, Number 12 2020.
is_hierarchy_title Advanced issues in PLS path modelling : new guidelines for business and information systems research /
container_title Industrial management and data systems ; Volume 120, Number 12 2020,
author2_original_writing_str_mv noLinkedField
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