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SEM-based customer satisfaction measurement : (Record no. 27588)

000 -LEADER
fixed length control field 02153naa a2200205uu 4500
001 - CONTROL NUMBER
control field 8091916233210
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190211164326.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 080919s2008 xx ||||gr |0|| 0 eng d
999 ## - SYSTEM CONTROL NUMBERS (KOHA)
Koha Dewey Subclass [OBSOLETE] PHL2MARC21 1.1
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name WESTLUND, Anders H.
9 (RLIN) 19634
245 10 - TITLE STATEMENT
Title SEM-based customer satisfaction measurement :
Remainder of title on multicollinearity and robust PLS estimation
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Oxfordshire, UK :
Name of publisher, distributor, etc. Taylor & Francis,
Date of publication, distribution, etc. July-August 2008
520 3# - SUMMARY, ETC.
Summary, etc. The performance of companies is traditionally rated by financial performance measures, such as EBITDA, EBIT, ROCE, cash-flow, etc. However, the use of non-financial performance criteria, such as human capital, brand equity, customer asset and environmental performance, as valuation tools additional to the financial performance measurement, has increased over recent years. Information on non-financial performance is used in Balanced Scorecards for corporate control of business units, and is reported internally as well as externally. One way of rating and assessing the customer asset is through customer satisfaction measurements. Some national indices for rating customer satisfaction have been developed over the last decade. One example is the European Performance Satisfaction Index (EPSI Rating), which has conducted surveys since 1997. Within the framework of EPSI Rating, Partial Least Squares (PLS) is applied as the common statistical method. The hypothesis of PLS being robust against various statistical specification problems, such as multicollinearity, is an important argument for using PLS. The aim of this article is to examine the effects on PLS estimates of the inner relations in a Structural Equation Model (SEM), when introducing multicollinearity in the data. This is done through Monte Carlo simulations. Overall, the simulations confirm the robustness hypothesis
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name KÄLLSTRÖM, Mari
9 (RLIN) 35614
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name PARMLER, Johan
9 (RLIN) 35615
773 08 - HOST ITEM ENTRY
Title Total quality management & business excellence
Related parts 19, 7-8, p. 855-869
Place, publisher, and date of publication Oxfordshire, UK : Taylor & Francis, July-August 2008
International Standard Serial Number ISSN 14783363
Record control number
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Periódico
998 ## - LOCAL CONTROL INFORMATION (RLIN)
-- 20080919
Operator's initials, OID (RLIN) 1623^b
Cataloger's initials, CIN (RLIN) Tiago
998 ## - LOCAL CONTROL INFORMATION (RLIN)
-- 20081209
Operator's initials, OID (RLIN) 1030^b
Cataloger's initials, CIN (RLIN) Zailton

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