Page 149 - Ebook HTKH 2024
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4.4. Moderating effect analysis
                        Before running the analysis, the data of global experience (age), cultural distance
                  (CUL), economic distance (ECO) and institutional distance (INS) is standardised by
                  the Descriptive statistics tool of SPSS. Given that global experience is considered as a
                  continuous  variable,  to  test  the  moderating  effects  of  this  variable,  we  built  the

                  interaction analysis model in AMOS 16. Following Hair et. al. (2005), the regressions
                  illustrated as flow with the interaction variables created by employing SPSS (namely:
                  CUL*AGE, ECO*AGE, INS*AGE)
                        PER = p1*LCD+p2*AGE+p3*(CUL*AGE)
                        PER = p1*ECO+p2*AGE+p3*(ECO*AGE)
                        PER = p1*INS + p2*AGE+p3*(INS*AGE)
                        The results confirm a significance for the moderating effects of global experience
                  on the three concerning relationships. In other words, the impacts of cultural distance,

                  economic distance and institutional distance on international subsidiaries are moderated
                  by global experience. The detailed result is illustrated through table 2.
                        Table 2. Interaction testing result
                     Estimate  P        Result
                   CUL             → PER  -.124        ***    Supported

                   INS             → PER  .102         ***    Supported
                   ECO             → PER  .064         .022  Supported
                   Age             → PER  4.279        ***    Supported

                   LCDxAGE         → PER  -.079        .003  Supported
                   ECOxAGE         → PER  -.958        ***    Supported
                   INSxAGE         → PER  .563         ***    Supported

                        To further testing moderating effect, we run a bootstrap test with the sample size
                  of 5000 for robustness check. The critical ratios (C.R) are commuted based on Bias and
                  SE-Bias results. All the critical ratios are smaller than 1.96, which confirms that the
                  interaction model is robust (Hair et. al., 2005). Detail of result is shown in table 3.
                                              Table 3. The result of Bootstrap test
                 Parameter                     SE        SE-SE     Mean       Bias      SE-Bias      C.R.
                 LCDxAGE  →           PER      0.239     0.002     -0.021     0.005     0.003        1.67

                 ECOxAGE  →           PER      0.367     0.004     -1.343     -0.008    0.005        -1.6
                 INSxAGE        →     PER      0.213     0.002     0.292      -0.005    0.003        -1.67
                        4.5. Current MNE subsidiaries in Vietnam
                        4.5.1. Description about current Multinational Company subsidiaries in Vietnam
                        Vietnam’s transition to an open-door policy through the Doi Moi reforms in 1986
                  marked a transformative shift in its economic and political landscape, breaking away
                  from previous isolationist policies and reducing its dependence on the former Soviet
                  Union.  One  of  the  central  pillars  of  these  reforms  was  the  adoption  of  an






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