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NTU Management Review Vol. 33 No. 2 Aug. 2023
Table 3 Results for Mediation Tests
Model Goodness-of-Fit Tests of Hypotheses
2
χ (173) = 337.23 (p ≈ .00)
M1: Baseline Model: Hypothesized Paths RMSEA = .057; NNFI = .96; -
(Figure 1)
CFI = .97; AGFI = .86
M2: Value Congruence → Innovation χ (172) = 337.10 M1-M2:
2
Performance χ d 2 (1) = .13, p > .72
M1-M3:
2
M3: Felt Obligation → Innovation Performance χ (172) = 336.74 2
χ d (1) = .49, p > .48
M1-M4:
2
M4: EML → Innovation Performance χ (172) = 335.18 2
χ d (1) = 2.05, p > .15
M1-M5:
2
M5: TMX → Innovation Performance χ (172) = 336.89 2
χ d (1) = .34, p > .56
others,” and (2) “It is important to me to have the opportunity to use my abilities to
benefit others.” We asked respondents to rate these two items on a seven-point Likert
scale with one meaning strongly disagree and seven meaning strongly agree. We calculate
the composite score of each member and distinguish a high-score subgroup from a low-
score subgroup using a median split (N high = 147; N = 135). To test H6, we establish two
low
structural models for the high-score and low-score subgroups and employ moderating
tests to compare the differences between the hypothesized path coefficients. According to
the baseline model, the effect of intention on innovation performance is permitted to vary
across groups. Next, we perform the constrained effect to be equal across subsamples in
L
the second model. Finally, by comparison with the path in the low-score subsample (γ N=135
= .12, n.s.), the path from innovation intention to innovation performance in the high-score
subsample (γ H
N=147 = .35, p < .001) shows a significantly higher coefficient. Thus, H6 is
2
supported (∆χ [1] = 3.94, p < .05).
5. Discussion and Conclusions
Drawing on social exchange theory and social influence theory, this study develops
and empirically examines a research model on individual service innovation performance
in the context of the IT industry in Taiwan. We begin by discussing research centered on
explanations for individual innovation performance that address the importance of the
relationship quality among coworkers and leadership, highlighting how these perspectives
may act as determinants of why important relational factors impact an engineer’s
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