Evidence map›Paper›PMID 40479306›Full record

ArticleJournal of the knowledge economy2022

The Impact of Intergenerational Succession Intention on Family Firm's Innovation Strategy: Evidence from China.

Shuai Song, Lixin Zhou, Stavros Sindakis, Sakshi Aggarwal, Charles Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the knowledge economy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shuai SongBusiness School, Southwest University of Political Science & Law, Chongqing, 401120 China.
Lixin ZhouResearch Center for Economy of Upper Reaches of the Yangtse River, Chongqing Technology and Business University, Chongqing, 400067 China.
Stavros SindakisNational Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, 400067 China.ORCID 0000-0002-3542-364X
Sakshi AggarwalInstitute of Strategy, Entrepreneurship and Education for Growth, Paphos, Cyprus.
Charles ChenCollege of Business and Information Technology, University of Phoenix, Kapolei, HI 96707 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the development and growth of family businesses, succession is an unsolvable problem, which is also a popular focus of academic research. For a family firm, succession may be a strategic decision but also a long-term and intricate "footrace." It will have a significant impact on the long-term viability of a family firm if it is not handled appropriately. This study mainly explores the influences of family business owners' intergenerational succession intention on their family firms' innovation strategy in China. In addition, this study further examines the moderating role of the institutional environment in the above relationship. Therefore, the data in this article comes from a survey of 271 family businesses in eight different regions of China. Also, this paper can aid the smooth transition of intergenerational transmission of small and medium-sized family businesses in addition to the untroubled development of technological innovation activities. Specifically, the institutional environment plays a negative moderating role in the relationship between family succession, radical succession, technological innovation, and a positive regulating role in the relationship between single equity succession and technological innovation.

Indexed as

Chinese family businessInnovation investmentInnovation outputInstitutional environmentIntergenerational succession intention

Identifiers

PMID40479306
PMCPMC9590397

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.