The document provides instructions for conducting a study to test and verify a research model examining the relationships between total quality management (TQM), technology/R&D management (TIM), quality performance (QUAL), product development innovation (PDIN), and process innovation capability (PCIN) in firms located in Vietnam. Specifically, the researcher is asked to: [1] Describe the data and assess construct reliability; [2] Use ANOVA to test for mean differences between respondent positions; [3] Examine correlations between constructs; [4] Conduct exploratory factor analysis on independent variables; and [5] Use regression analysis to model the relationships between TQM, TIM, and the dependent variables. Results are to be summarized in

1. April 23, 2008
Assignment
You conduct a study with a purpose same as that of Prajogo and Sohal (2006). You also
build a research model same as that shown in Fig. 2 and 3, and use measurement items same
as those shown in the Appendix A, in Prajogo and Sohal (2006). You just collect data on
firms located in Vietnam, a country different from that targeted by Prajogo and Sohal (2006),
to test and verify the research model.
The data collected are given in a SPSS dataset. Now please proceed to do the data
analysis and model test by complying with the following procedures:
1. Data Description and Construct Reliability
Describe the data for each construct concerned and examine their internal
consistency (reliability) by using Cronbach’s alpha. (You are required to summarize these
results in a table very much like the Table 1 in Prajogo and Sohal (2006))
2. ANOVA
Test the mean difference between different positions of respondents in each construct
by using ANOVA. (You are required to summarize the test results in a table rather like
the Table 2 in Prajogo and Sohal (2006), only you are required to show the F and p
values from ANOVA instead of the ‘Mean difference’.)
3. Correlation Coefficients
Test the relationships between each construct by using bivariate correlation analysis.
(You are required to summarize the test results in a table very much like the Table 3 in
Prajogo and Sohal (2006).)
4. Factor Analysis
Conduct exploratory factor analysis involving in the eight independent variables; e.g.,
‘lead’, ‘plan’, ‘cust’, ‘info’, ‘peop’, ‘proc’, ‘tech’ and ‘r&d’. (You are required to
summarize the analysis results in a table very much like the Table 2 in Liu and Wei
(2003).)
5. Regression Analysis
Create summated scales (taking the average) for each main construct; i.e., TQM,
TIM, QUAL, PDIN and PCIN, then conduct regression analysis by building the
following three regression models:
(1) Regression of QUAL on TQM and TIM.
(2) Regression of PDIN on TQM and TIM
(3) Regression of PCIN on TQM and TIM
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2. April 23, 2008
(You are required to summarize the results for all three regression models in a single
table by adopting the tabular form instead of the equation form.)
In additions, some other rules for preparing the report are given as follows.
(1) You have to give each table a suitable title and number them in sequence.
(2) You have to interpret the results in each table.
(3) You have to give concluding remarks in the end of your report.
[Please hand in your report on this assignment on May 14, 2008.]
References
Liu, X. and Wei, K.K. (2003). An empirical study of product differences in consumers’
E-commerce adoption behavior. Electronic Commerce Research and Applications, 2,
229-239.
Prajogo, D.I. and Sohal, A.S. (2006). The integration of TQM and technology/R&D
management in determining quality and innovation performance. Omega, 34, 296-312.
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