开放式创新社区用户文本解释项需要“情文并茂”吗？基于皮尔斯符号学的非结构化数据实证分析

doi:10.16381/j.cnki.issn1003-207x.2022.1535

Abstract

Abstract:

In the context of open innovation， enterprises can invite users to participate in the process of new product development by establishing an open innovation community and obtain high-quality user ideas， which is an important way for enterprises to facilitate their new product development （NPD）. As a typical user-generated content （UGC）， the user text interpretant will change employees’ perceptions of the value of UGC and then affect NPD ideas’ endorsement. Based on Pierce’s semiotic theory， three types of user text interpretant are propased： text rhetoric， text style， and text sentiment， and a moderated mediation model of user text interpretant， user engagement， community activity is constructed， and NPD ideas’ endorsement is constructed. Using 1.04 million posts submitted by 823443 users in the Xiaomi Community， the impact of user text interpretant on NPD ideas’ endorsement is examined. The results are shown as follows： First， three dimensions of user text interpretant （text rhetoric， text style， and text sentiment） have positive influence on NPD ideas’ endorsement. Second， user engagement plays a mediating role in the relationship between the two dimensions of user text interpretant （text rhetoric and text style） and NPD ideas’ endorsement； cognitive engagement and behavioral engagement play mediating roles in the relationship between text sentiment and NPD ideas’ endorsement， while emotional engagement exerts a masking effect on the relationship between text sentiment and NPD ideas’ endorsement. Third， community activity moderates the mediating and masking effects of user engagement on the relationship between user text interpretant and NPD ideas’ endorsement. In addition， after a series of endogeneity and robustness tests， the above conclusions still hold. The results provide a new perspective for enterprises to acquire user knowledge and manage open innovation communities by constructing an intermediate mechanism for transforming user text interpretant into NPD ideas’ endorsement from the perspective of user engagement， which expands the scope of enterprise innovation model and deepens the user engagement theory.

Key words: user text interpretant, user engagement, NPD ideas’ endorsement, community activity, open innovation community

CLC Number:

F273.1

Xuemei Xie, Lei Yu. Does the User Text Interpretant Need to Be Splendid in Both Feeling and Writing in the Open Innovation Community? Empirical Analysis of Unstructured Data Based on Pierce Semiotics[J]. Chinese Journal of Management Science, 2025, 33(7): 151-167.

Figures/Tables 6

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变量	新产品开发创意认可度			认知契合	情感契合	行为契合
变量	模型1	模型2	模型3	模型4	模型5	模型6
Pict	0.624^*** (0.005)	-0.009 (0.009)	-0.029^*** (0.010)	-1.199^*** (0.057)	-0.006^*** (0.001)	0.028^*** (0.004)
Punc	-0.157^*** (0.001)	-0.138^*** (0.001)	-0.140^*** (0.001)	-0.009^*** (0.001)	-0.001^*** (0.0001)	-0.001^*** (0.0001)
Circ	0.019^*** (0.0004)	0.017^*** (0.0004)	0.014^*** (0.0004)	0.315^*** (0.006)	0.007^*** (0.0001)	0.011^*** (0.0004)
Fans	0.0001 (0.0002)	0.0001 (0.0002)	-0.002^*** (0.0003)	0.039^*** (0.001)	0.001^*** (0.0001)	0.001^*** (0.0001)
Foll	-0.003^*** (0.001)	-0.003^*** (0.001)	-0.002^*** (0.001)	-0.012^*** (0.002)	-0.0002^*** (0.0001)	-0.001^*** (0.0001)
Medal	-0.036^*** (0.001)	-0.033^*** (0.001)	-0.033^*** (0.001)	-0.222^*** (0.004)	-0.002^*** (0.0001)	-0.006^*** (0.0003)
Likes	0.0002^*** (0.0001)	0.0001^*** (0.0001)	0.0001^*** (0.0001)	0.005^*** (0.0003)	0.0002^*** (6.54E-06)	0.0001^*** (0.0001)
Posts	-0.0002^*** (3.66E-06)	-0.0002^*** (3.70E-06)	-0.0002^*** (3.64E-06)	-0.002^*** (0.0001)	-0.0001^*** (7.48E-07)	-0.0001^*** (2.32E-06)
Rhet		1.543^*** (0.015)	1.361^*** (0.016)	23.221^*** (0.166)	0.163^*** (0.003)	0.471^*** (0.011)
Style		3.113^*** (0.077)	3.002^*** (0.080)	69.673^*** (1.148)	1.051^*** (0.024)	1.941^*** (0.075)
Sent		0.104^*** (0.009)	0.061^*** (0.010)	2.472^*** (0.101)	-0.018^*** (0.002)	0.046^*** (0.007)
Cogn			0.003^*** (0.0001)
Emot			0.106^*** (0.004)
Beha			0.150^*** (0.002)
Chi²	80594.980^***	93691.060^***	116092.730^***
Pseudo R²	0.140	0.162	0.201
F-value				3593.850^***	1223.580^***	570.900^***
R²				0.037	0.013	0.006

Does the User Text Interpretant Need to Be Splendid in Both Feeling and Writing in the Open Innovation Community? Empirical Analysis of Unstructured Data Based on Pierce Semiotics

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