Effects of contextual and method moderators on the overall country of origin–consumer brand relationship
| N | K | rz | −CI | +CI | Z | P | QB | p | |
|---|---|---|---|---|---|---|---|---|---|
| Contextual factors | |||||||||
| Brand source | 2.92 | 0.034 | |||||||
| Global brand | 78,967 | 190 | 0.36 | 0.27 | 0.44 | 7.58 | 0.00 | ||
| Local brand | 8,076 | 28 | 0.30 | 0.22 | 0.38 | 6.86 | 0.00 | ||
| Product sector | 3.46 | 0.33 | |||||||
| Consumer goods | 81,896 | 172 | 0.35 | 0.26 | 0.44 | 7.23 | 0.00 | ||
| Industrial | 876 | 27 | 0.41 | 0.22 | 0.58 | 3.97 | 0.00 | ||
| Service | 5,014 | 12 | 0.27 | 0.21 | 0.33 | 8.11 | 0.00 | ||
| Mixed | 411,777 | 75 | 0.30 | 0.25 | 0.35 | 11.33 | 0.00 | ||
| Brand origin continent | 19.32 | 0.00 | |||||||
| Australasia | 24,114 | 78 | 0.31 | 0.25 | 0.37 | 10.24 | 0.00 | ||
| Europe | 35,610 | 59 | 0.41 | 0.21 | 0.57 | 3.83 | 0.00 | ||
| North America | 10,689 | 34 | 0.22 | 0.18 | 0.26 | 9.94 | 0.00 | ||
| Mixed | 429,150 | 111 | 0.34 | 0.30 | 0.38 | 15.48 | 0.00 | ||
| Individualism | 12.83 | 0.01 | |||||||
| High | 416,775 | 114 | 0.26 | 0.22 | 0.29 | 12.71 | 0.00 | ||
| Low | 61,328 | 113 | 0.39 | 0.27 | 0.50 | 6.03 | 0.00 | ||
| Medium | 12,687 | 45 | 0.29 | 0.22 | 0.36 | 8.06 | 0.00 | ||
| Respondents’ continent | 23.16 | 0.00 | |||||||
| Africa | 6,844 | 16 | 0.44 | 0.36 | 0.50 | 10.54 | 0.00 | ||
| Australasia | 41,692 | 113 | 0.33 | 0.29 | 0.37 | 14.71 | 0.00 | ||
| Europe | 34,340 | 61 | 0.38 | 0.17 | 0.55 | 3.52 | 0.00 | ||
| North America | 401,146 | 67 | 0.24 | 0.19 | 0.28 | 9.55 | 0.00 | ||
| Others | 15,541 | 25 | 0.41 | 0.25 | 0.55 | 4.83 | 0.00 | ||
| Method moderators | |||||||||
| Cues | 3.95 | 0.05 | |||||||
| Multiple cues | 24,813 | 80 | 0.28 | 0.24 | 0.32 | 11.79 | 0.00 | ||
| Single cues | 474,750 | 202 | 0.36 | 0.29 | 0.41 | 10.74 | 0.00 | ||
| Brand type | 11.33 | 0.00 | |||||||
| Fictitious | 2,098 | 24 | 0.19 | 0.10 | 0.27 | 4.21 | 0.00 | ||
| Real brands | 412,020 | 252 | 0.35 | 0.30 | 0.40 | 3.30 | 0.00 | ||
| Mixed | 936 | 6 | 0.24 | 0.10 | 0.37 | 12.53 | 0.00 | ||
| Sampling unit | 7.07 | 0.03 | |||||||
| Managers/professionals | 2,827 | 20 | 0.37 | 0.28 | 0.43 | 8.72 | 0.00 | ||
| Real consumers | 481,566 | 199 | 0.36 | 0.30 | 0.41 | 10.94 | 0.00 | ||
| Students | 15,170 | 63 | 0.26 | 0.21 | 0.31 | 9.03 | 0.00 | ||
| Theory usage | 1.34 | 0.25 | |||||||
| Atheoretical | 433,413 | 112 | 0.30 | 0.26 | 0.33 | 15.15 | 0.00 | ||
| Theoretical | 66,150 | 170 | 0.36 | 0.26 | 0.45 | 6.77 | 0.00 | ||
| Sample size | 6.02 | 0.01 | |||||||
| Large sample (>150) | 478,929 | 154 | 0.29 | 0.24 | 0.34 | 10.33 | 0.00 | ||
| Small sample (<150) | 20,634 | 128 | 0.40 | 0.33 | 0.46 | 10.96 | 0.00 | ||
| Year of publication | 11.11 | 0.00 | |||||||
| 2011–2020 | 452,797 | 151 | 0.37 | 0.29 | 0.44 | 8.99 | 0.00 | ||
| 2000–2010 | 34,909 | 89 | 0.32 | 0.25 | 0.38 | 8.98 | 0.00 | ||
| Pre-2000 | 11,857 | 42 | 0.23 | 0.19 | 0.28 | 9.97 | 0.00 | ||
| N | K | rz | −CI | +CI | Z | P | QB | ||
|---|---|---|---|---|---|---|---|---|---|
| Global brand | 78,967 | 190 | 0.27 | 0.44 | 7.58 | 0.00 | |||
| 8,076 | 28 | 0.30 | 0.22 | 0.38 | 6.86 | 0.00 | |||
| Product sector | |||||||||
| Consumer goods | 81,896 | 172 | 0.26 | 0.44 | 7.23 | 0.00 | |||
| Industrial | 876 | 27 | 0.22 | 0.58 | 3.97 | 0.00 | |||
| Service | 5,014 | 12 | 0.27 | 0.21 | 0.33 | 8.11 | 0.00 | ||
| Mixed | 411,777 | 75 | 0.30 | 0.25 | 0.35 | 11.33 | 0.00 | ||
| Brand origin continent | |||||||||
| Australasia | 24,114 | 78 | 0.31 | 0.25 | 0.37 | 10.24 | 0.00 | ||
| Europe | 35,610 | 59 | 0.21 | 0.57 | 3.83 | 0.00 | |||
| North America | 10,689 | 34 | 0.18 | 0.26 | 9.94 | 0.00 | |||
| Mixed | 429,150 | 111 | 0.34 | 0.30 | 0.38 | 15.48 | 0.00 | ||
| Individualism | |||||||||
| High | 416,775 | 114 | 0.26 | 0.22 | 0.29 | 12.71 | 0.00 | ||
| Low | 61,328 | 113 | 0.27 | 0.50 | 6.03 | 0.00 | |||
| Medium | 12,687 | 45 | 0.29 | 0.22 | 0.36 | 8.06 | 0.00 | ||
| Respondents’ continent | |||||||||
| Africa | 6,844 | 0.36 | 0.50 | 10.54 | 0.00 | ||||
| Australasia | 41,692 | 113 | 0.33 | 0.29 | 0.37 | 14.71 | 0.00 | ||
| Europe | 34,340 | 61 | 0.17 | 0.55 | 3.52 | 0.00 | |||
| North America | 401,146 | 67 | 0.24 | 0.19 | 0.28 | 9.55 | 0.00 | ||
| Others | 15,541 | 25 | 0.41 | 0.25 | 0.55 | 4.83 | 0.00 | ||
| Cues | |||||||||
| Multiple cues | 24,813 | 80 | 0.28 | 0.24 | 0.32 | 11.79 | 0.00 | ||
| Single cues | 474,750 | 202 | 0.29 | 0.41 | 10.74 | 0.00 | |||
| Brand type | |||||||||
| Fictitious | 2,098 | 24 | 0.19 | 0.10 | 0.27 | 4.21 | 0.00 | ||
| Real brands | 412,020 | 252 | 0.30 | 0.40 | 3.30 | 0.00 | |||
| Mixed | 936 | 6 | 0.24 | 0.10 | 0.37 | 12.53 | 0.00 | ||
| Sampling unit | |||||||||
| Managers/professionals | 2,827 | 20 | 0.28 | 0.43 | 8.72 | 0.00 | |||
| Real consumers | 481,566 | 199 | 0.36 | 0.30 | 0.41 | 10.94 | 0.00 | ||
| Students | 15,170 | 63 | 0.26 | 0.21 | 0.31 | 9.03 | 0.00 | ||
| Theory usage | |||||||||
| Atheoretical | 433,413 | 112 | 0.30 | 0.26 | 0.33 | 15.15 | 0.00 | ||
| Theoretical | 66,150 | 170 | 0.26 | 0.45 | 6.77 | 0.00 | |||
| Sample size | |||||||||
| Large sample (>150) | 478,929 | 154 | 0.29 | 0.24 | 0.34 | 10.33 | 0.00 | ||
| Small sample (<150) | 20,634 | 128 | 0.33 | 0.46 | 10.96 | 0.00 | |||
| Year of publication | |||||||||
| 2011–2020 | 452,797 | 151 | 0.29 | 0.44 | 8.99 | 0.00 | |||
| 2000–2010 | 34,909 | 89 | 0.32 | 0.25 | 0.38 | 8.98 | 0.00 | ||
| Pre-2000 | 11,857 | 42 | 0.23 | 0.19 | 0.28 | 9.97 | 0.00 | ||
Notes:
*Correlation significant at two-tailed; K (effect sizes); N (observations); rz (standardized correlations coefficient); CoOI = country of origin image; CBE = consumer brand evaluation
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