Table 4

Ambidextrous Networking Capability of R&D teams

Factor compositionTest sample (N = 264: India)Validation sample (N = 212: Japan)
ReliabilityAVEFactor loadingsReliabilityAVEFactor loadings
Dynamic exploration capability (DXC)0.790.55 0.850.65 
ANC_03My team continuously explores experts for pursuing innovations  0.87  0.94
ANC_05My team consistently explores platforms to demonstrate their innovations  0.75  0.86
ANC_01My team relentlessly explores novel domains for pursuing future innovations  0.62  0.62
Integrative exploitation capability (IXC)0.780.57 0.790.56 
ANC_07My team encourages the quick acquisition of critical resources for innovation  0.75  0.92
ANC_09My team enables quick mobilization of critical resources for innovation  0.74  0.71
ANC_06My Team facilitates regular utilization of resources for innovation  0.72  0.61
Synergistic engagement capability (SEC)0.820.71 0.730.57 
ANC_12My Team proactively engages with experts to develop complementary skill-sets  0.93  0.76
ANC_14My Team builds good relationships with experts for long-term mutual value-addition  0.71  0.74
Goodness-of-the-fit indicesχ2DFNormed χ2TLIGFICFISRMRRMSEA
Test sample21.88171.280.970.980.980.030.033
Validation sample23.26171.360.970.970.980.030.042

Note(s): All the factor loadings were significant (p < 0.05). AVE = average variance extracted; df = 41 for both samples; χ2 = chi-square; Normalized χ2 = χ2/df; TLI = Tucker–Lewis index; GFI = Goodness of Fit index; CFI = comparative fit index; SRMR = standardized root mean residual; factor loadings reported were completely standardized parameter estimates

Source(s): Author’s own work

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