| Literature DB >> 34335363 |
Jin Suk Park1, Satoko Suzuki1.
Abstract
In this study, we introduce a concept of product identification that denotes the overlap between identities of a new product and its developer. As creativity is the most important identity dimension in the new product, we draw on two dimensions of creativity: novelty and meaningfulness. According to the argument that novelty represents exploration, whereas meaningfulness represents exploitation, we hypothesize that product novelty is associated with an explorative behavior of new product team members, while product meaningfulness is associated with exploitative behavior. More importantly, product identification is proposed as the mechanism that explains the amplification effect of product identity on team members. Based on survey data collected from 200 Japanese new product development (NPD) team members, we conduct a statistical analysis to test the hypotheses. The findings demonstrate the alignment between the identity of a new product and the behaviors of the NPD members, which is amplified by product identification but not by organizational identification.Entities:
Keywords: creativity; identity; meaningfulness; new product development; novelty; product identification
Year: 2021 PMID: 34335363 PMCID: PMC8318271 DOI: 10.3389/fpsyg.2021.646766
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Conceptual figure of product identification.
Figure 2Structural equation models for reliability and validity tests.
Descriptive and correlation statistics.
| 1 | Product novelty | 0.00 | 1.32 | 1 | ||||||||||
| 2 | Product meaningfulness | 0.00 | 1.24 | 0.401 | 1 | |||||||||
| 3 | Explorative behavior | 5.36 | 0.85 | 0.443 | 0.338 | 1 | ||||||||
| 4 | Exploitative behavior | 4.99 | 1.05 | 0.727 | 0.413 | 0.390 | 1 | |||||||
| 5 | Product identification | 0.00 | 1.27 | 0.394 | 0.788 | 0.334 | 0.377 | 1 | ||||||
| 6 | Organizational identification | 0.00 | 1.05 | 0.291 | 0.639 | 0.207 | 0.349 | 0.741 | ||||||
| 7 | Gender | 0.88 | 0.33 | 0.011 | −0.119 | −0.014 | 0.023 | −0.057 | 1 | |||||
| 8 | Age | 52.68 | 8.39 | 0.050 | 0.131 | 0.030 | 0.114 | 0.172 | 0.105 | 1 | ||||
| 9 | Team tenure | 19.22 | 11.78 | 0.023 | −0.015 | −0.110 | 0.042 | 0.030 | 0.087 | 0.423 | 1 | |||
| 10 | Industry dummy 1 (manufacturing) | 0.40 | 0.49 | −0.034 | −0.039 | −0.042 | −0.091 | 0.020 | 0.047 | −0.040 | 0.125 | 1 | ||
| 11 | Industry dummy 2 (retail) | 0.16 | 0.37 | −0.015 | 0.095 | 0.041 | 0.009 | 0.179 | −0.091 | 0.149 | 0.021 | −0.353 | 1 | |
| 12 | Industry dummy 3 (service) | 0.22 | 0.42 | 0.052 | 0.028 | −0.024 | 0.086 | −0.042 | 0.010 | −0.010 | −0.167 | −0.429 | 1 |
p < 0.05;
p < 0.01.
Results of hierarchical regression analyses by product identification.
| Gender | −0.01 | 0.19 | 0.03 | 0.18 | 0.02 | 0.18 | 0.01 | 0.23 | 0.06 | 0.21 | 0.05 | 0.21 |
| Age | 0.09 | 0.01 | 0.06 | 0.01 | 0.04 | 0.01 | 0.11 | 0.01 | 0.03 | 0.01 | 0.02 | 0.01 |
| Team tenure | −0.15 | 0.01 | −0.14 | 0.01 | −0.13 | 0.01 | 0.01 | 0.01 | 0.04 | 0.01 | 0.04 | 0.01 |
| Industry dummy (manufacturing) | −0.05 | 0.16 | −0.07 | 0.15 | −0.09 | 0.15 | −0.07 | 0.20 | −0.10 | 0.18 | −0.12 | 0.18 |
| Industry dummy (retail) | 0.00 | 0.20 | −0.08 | 0.19 | −0.09 | 0.19 | −0.02 | 0.25 | −0.08 | 0.23 | −0.09 | 0.23 |
| Industry dummy (service) | −0.07 | 0.18 | −0.08 | 0.17 | −0.10 | 0.17 | 0.05 | 0.22 | 0.03 | 0.21 | 0.01 | 0.20 |
| Product identification | 0.20 | 0.07 | 0.26 | 0.08 | 0.16 | 0.09 | 0.25 | 0.09 | ||||
| Product novelty | 0.29 | 0.07 | 0.25 | 0.07 | 0.02 | 0.08 | −0.02 | 0.08 | ||||
| Product meaningfulness | −0.04 | 0.09 | −0.03 | 0.09 | 0.28 | 0.12 | 0.29 | 0.11 | ||||
| Product novelty* product identification | 0.14 | 0.03 | ||||||||||
| Product meaningfulness * product identification | 0.19 | 0.03 | ||||||||||
| 0.02 | 0.18 | 0.19 | 0.02 | 0.20 | 0.23 | |||||||
| Δ | 0.15 | 0.02 | 0.14 | 0.03 | ||||||||
| 12.61 | 16.59 | 15.97 | 19.58 | |||||||||
p < 0.05;
p < 0.01.
Figure 3Moderating effect of product identification on the regression models.
Results of hierarchical regression analyses by organizational identification.
| Gender | −0.01 | 0.19 | 0.03 | 0.18 | 0.02 | 0.18 | 0.01 | 0.23 | 0.06 | 0.21 | 0.05 | 0.21 |
| Age | 0.09 | 0.01 | 0.06 | 0.01 | 0.04 | 0.01 | 0.11 | 0.01 | 0.03 | 0.01 | 0.02 | 0.01 |
| Team tenure | −0.15 | 0.01 | −0.14 | 0.01 | −0.13 | 0.01 | 0.01 | 0.01 | 0.04 | 0.01 | 0.04 | 0.01 |
| Industry dummy (manufacturing) | −0.05 | 0.16 | −0.07 | 0.15 | −0.09 | 0.15 | −0.07 | 0.20 | −0.10 | 0.18 | −0.12 | 0.18 |
| Industry dummy (retail) | 0.00 | 0.20 | −0.08 | 0.19 | −0.09 | 0.19 | −0.02 | 0.25 | −0.08 | 0.23 | −0.09 | 0.23 |
| Industry dummy (service) | −0.07 | 0.18 | −0.08 | 0.17 | −0.10 | 0.17 | 0.05 | 0.22 | 0.03 | 0.21 | 0.01 | 0.20 |
| Organizational identification | −0.02 | 0.07 | −0.03 | 0.05 | 0.10 | 0.06 | 0.10 | 0.09 | ||||
| Product novelty | 0.19 | 0.07 | 0.19 | 0.07 | 0.00 | 0.09 | 0.00 | 0.08 | ||||
| Product meaningfulness | 0.09 | 0.08 | 0.11 | 0.08 | 0.27 | 0.10 | 0.29 | 0.10 | ||||
| Product novelty* organizational identification | 0.03 | 0.04 | ||||||||||
| Product meaningfulness * organizational identification | 0.03 | 0.03 | ||||||||||
| 0.02 | 0.16 | 0.17 | 0.02 | 0.20 | 0.21 | |||||||
| Δ | 0.14 | 0.01 | 0.14 | 0.01 | ||||||||
| 4.14 | 4.12 | 5.36 | 4.88 | |||||||||
p < 0.05;
p < 0.01.