Technology Spillover Perception and Knowledge Network Trap in Cross-Industry Innovation: An Empirical Examination from Unmanned Aerial Vehicle (UAV)

Cross-industry technology spillover perception (CTSP) refers to the degree to which the enterprise absorbs the technology spilling from outside industries. How does the enterprise’s CTSP impact its cross-industry innovation performance? To answer this question, we distinguished CTSP into CTSP-Width...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Wireless communications and mobile computing 2022-08, Vol.2022, p.1-13
Hauptverfasser: Zhou, Yang, Chen, Xin, He, Jianjia
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 13
container_issue
container_start_page 1
container_title Wireless communications and mobile computing
container_volume 2022
creator Zhou, Yang
Chen, Xin
He, Jianjia
description Cross-industry technology spillover perception (CTSP) refers to the degree to which the enterprise absorbs the technology spilling from outside industries. How does the enterprise’s CTSP impact its cross-industry innovation performance? To answer this question, we distinguished CTSP into CTSP-Width and CTSP-Depth and investigate their dynamical impacts on the cross-industry innovation performance from the perspective of industry development process. Furthermore, we also explored the impact of the enterprise’s knowledge flow in the innovation knowledge network on the above relationships. We conducted the hierarchical regression analysis based on patent data in UAV industry from 2006 to 2020. The results showed that (1) in the flat period of industry development, only CTSP-Width has a direct positive impact on cross-industry innovation performance. (2) In the low-speed climbing period and the high-speed growing period, the impact of CTSP-Width disappears, and the direct positive impact of CTSP-Depth appears. (3) In the flat period, both the moderator roles of knowledge contribution and knowledge profitability are not significant. In the low-speed climbing period, only knowledge profitability plays the negative moderator role, while in the high-speed growing period, both the knowledge contribution and knowledge profitability play significant negative moderator roles. This suggests that, when the industry develops into maturity, the negative moderation effect of knowledge network gradually appears, which indicates that there is a knowledge network trap.
doi_str_mv 10.1155/2022/6319717
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2707456832</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2707456832</sourcerecordid><originalsourceid>FETCH-LOGICAL-c337t-b7e60af76da0441ae1da0ae7f3225b6b2a7ab5d29fe9a0742288356e3cd14cb13</originalsourceid><addsrcrecordid>eNp9kM1Og0AUhYnRxFrd-QCTuNEoOj_AgDvSVG1s1MS2WzIwl3YqzOBAW_sePrBgG5eu7knud-7NOY5zTvAtIb5_RzGldwEjESf8wOkRn2E3DDg__NNBdOyc1PUSY8wwJT3newLZQpvCzLfovVJFYdZg0RvYDKpGGY2EluhZm00Bcg7oBZqNsR9oYkWFlEYDa-raHWm5qhu7RSOtzVp0vnsUazQsK2VVJgo0_BKl0r8blFtToqkuhdYgUQxWtcAMFiorAF1O49nVqXOUi6KGs_3sO9OH4WTw5I5fH0eDeOxmjPHGTTkEWOQ8kAJ7HhFAWiGA54xSPw1SKrhIfUmjHCKBuUdpGDI_AJZJ4mUpYX3nYne3suZzBXWTLM3K6vZlQnlr8IOQ0Za62VFZF9ZCnlRWlcJuE4KTrvek6z3Z997i1zt8obQUG_U__QMRX4Py</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2707456832</pqid></control><display><type>article</type><title>Technology Spillover Perception and Knowledge Network Trap in Cross-Industry Innovation: An Empirical Examination from Unmanned Aerial Vehicle (UAV)</title><source>Wiley Online Library Open Access</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Zhou, Yang ; Chen, Xin ; He, Jianjia</creator><contributor>Sharma, Vishal</contributor><creatorcontrib>Zhou, Yang ; Chen, Xin ; He, Jianjia ; Sharma, Vishal</creatorcontrib><description>Cross-industry technology spillover perception (CTSP) refers to the degree to which the enterprise absorbs the technology spilling from outside industries. How does the enterprise’s CTSP impact its cross-industry innovation performance? To answer this question, we distinguished CTSP into CTSP-Width and CTSP-Depth and investigate their dynamical impacts on the cross-industry innovation performance from the perspective of industry development process. Furthermore, we also explored the impact of the enterprise’s knowledge flow in the innovation knowledge network on the above relationships. We conducted the hierarchical regression analysis based on patent data in UAV industry from 2006 to 2020. The results showed that (1) in the flat period of industry development, only CTSP-Width has a direct positive impact on cross-industry innovation performance. (2) In the low-speed climbing period and the high-speed growing period, the impact of CTSP-Width disappears, and the direct positive impact of CTSP-Depth appears. (3) In the flat period, both the moderator roles of knowledge contribution and knowledge profitability are not significant. In the low-speed climbing period, only knowledge profitability plays the negative moderator role, while in the high-speed growing period, both the knowledge contribution and knowledge profitability play significant negative moderator roles. This suggests that, when the industry develops into maturity, the negative moderation effect of knowledge network gradually appears, which indicates that there is a knowledge network trap.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2022/6319717</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Absorptive capacity ; Empirical analysis ; High speed ; Hypotheses ; Industrial development ; Innovations ; Knowledge ; Low speed ; Perception ; Profitability ; Raw materials ; Regression analysis ; Technology ; Unmanned aerial vehicles</subject><ispartof>Wireless communications and mobile computing, 2022-08, Vol.2022, p.1-13</ispartof><rights>Copyright © 2022 Yang Zhou et al.</rights><rights>Copyright © 2022 Yang Zhou et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-b7e60af76da0441ae1da0ae7f3225b6b2a7ab5d29fe9a0742288356e3cd14cb13</citedby><cites>FETCH-LOGICAL-c337t-b7e60af76da0441ae1da0ae7f3225b6b2a7ab5d29fe9a0742288356e3cd14cb13</cites><orcidid>0000-0003-4913-7393 ; 0000-0001-5987-3605 ; 0000-0002-0159-7078</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><contributor>Sharma, Vishal</contributor><creatorcontrib>Zhou, Yang</creatorcontrib><creatorcontrib>Chen, Xin</creatorcontrib><creatorcontrib>He, Jianjia</creatorcontrib><title>Technology Spillover Perception and Knowledge Network Trap in Cross-Industry Innovation: An Empirical Examination from Unmanned Aerial Vehicle (UAV)</title><title>Wireless communications and mobile computing</title><description>Cross-industry technology spillover perception (CTSP) refers to the degree to which the enterprise absorbs the technology spilling from outside industries. How does the enterprise’s CTSP impact its cross-industry innovation performance? To answer this question, we distinguished CTSP into CTSP-Width and CTSP-Depth and investigate their dynamical impacts on the cross-industry innovation performance from the perspective of industry development process. Furthermore, we also explored the impact of the enterprise’s knowledge flow in the innovation knowledge network on the above relationships. We conducted the hierarchical regression analysis based on patent data in UAV industry from 2006 to 2020. The results showed that (1) in the flat period of industry development, only CTSP-Width has a direct positive impact on cross-industry innovation performance. (2) In the low-speed climbing period and the high-speed growing period, the impact of CTSP-Width disappears, and the direct positive impact of CTSP-Depth appears. (3) In the flat period, both the moderator roles of knowledge contribution and knowledge profitability are not significant. In the low-speed climbing period, only knowledge profitability plays the negative moderator role, while in the high-speed growing period, both the knowledge contribution and knowledge profitability play significant negative moderator roles. This suggests that, when the industry develops into maturity, the negative moderation effect of knowledge network gradually appears, which indicates that there is a knowledge network trap.</description><subject>Absorptive capacity</subject><subject>Empirical analysis</subject><subject>High speed</subject><subject>Hypotheses</subject><subject>Industrial development</subject><subject>Innovations</subject><subject>Knowledge</subject><subject>Low speed</subject><subject>Perception</subject><subject>Profitability</subject><subject>Raw materials</subject><subject>Regression analysis</subject><subject>Technology</subject><subject>Unmanned aerial vehicles</subject><issn>1530-8669</issn><issn>1530-8677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kM1Og0AUhYnRxFrd-QCTuNEoOj_AgDvSVG1s1MS2WzIwl3YqzOBAW_sePrBgG5eu7knud-7NOY5zTvAtIb5_RzGldwEjESf8wOkRn2E3DDg__NNBdOyc1PUSY8wwJT3newLZQpvCzLfovVJFYdZg0RvYDKpGGY2EluhZm00Bcg7oBZqNsR9oYkWFlEYDa-raHWm5qhu7RSOtzVp0vnsUazQsK2VVJgo0_BKl0r8blFtToqkuhdYgUQxWtcAMFiorAF1O49nVqXOUi6KGs_3sO9OH4WTw5I5fH0eDeOxmjPHGTTkEWOQ8kAJ7HhFAWiGA54xSPw1SKrhIfUmjHCKBuUdpGDI_AJZJ4mUpYX3nYne3suZzBXWTLM3K6vZlQnlr8IOQ0Za62VFZF9ZCnlRWlcJuE4KTrvek6z3Z997i1zt8obQUG_U__QMRX4Py</recordid><startdate>20220816</startdate><enddate>20220816</enddate><creator>Zhou, Yang</creator><creator>Chen, Xin</creator><creator>He, Jianjia</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-4913-7393</orcidid><orcidid>https://orcid.org/0000-0001-5987-3605</orcidid><orcidid>https://orcid.org/0000-0002-0159-7078</orcidid></search><sort><creationdate>20220816</creationdate><title>Technology Spillover Perception and Knowledge Network Trap in Cross-Industry Innovation: An Empirical Examination from Unmanned Aerial Vehicle (UAV)</title><author>Zhou, Yang ; Chen, Xin ; He, Jianjia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-b7e60af76da0441ae1da0ae7f3225b6b2a7ab5d29fe9a0742288356e3cd14cb13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Absorptive capacity</topic><topic>Empirical analysis</topic><topic>High speed</topic><topic>Hypotheses</topic><topic>Industrial development</topic><topic>Innovations</topic><topic>Knowledge</topic><topic>Low speed</topic><topic>Perception</topic><topic>Profitability</topic><topic>Raw materials</topic><topic>Regression analysis</topic><topic>Technology</topic><topic>Unmanned aerial vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Yang</creatorcontrib><creatorcontrib>Chen, Xin</creatorcontrib><creatorcontrib>He, Jianjia</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Wireless communications and mobile computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Yang</au><au>Chen, Xin</au><au>He, Jianjia</au><au>Sharma, Vishal</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Technology Spillover Perception and Knowledge Network Trap in Cross-Industry Innovation: An Empirical Examination from Unmanned Aerial Vehicle (UAV)</atitle><jtitle>Wireless communications and mobile computing</jtitle><date>2022-08-16</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>13</epage><pages>1-13</pages><issn>1530-8669</issn><eissn>1530-8677</eissn><abstract>Cross-industry technology spillover perception (CTSP) refers to the degree to which the enterprise absorbs the technology spilling from outside industries. How does the enterprise’s CTSP impact its cross-industry innovation performance? To answer this question, we distinguished CTSP into CTSP-Width and CTSP-Depth and investigate their dynamical impacts on the cross-industry innovation performance from the perspective of industry development process. Furthermore, we also explored the impact of the enterprise’s knowledge flow in the innovation knowledge network on the above relationships. We conducted the hierarchical regression analysis based on patent data in UAV industry from 2006 to 2020. The results showed that (1) in the flat period of industry development, only CTSP-Width has a direct positive impact on cross-industry innovation performance. (2) In the low-speed climbing period and the high-speed growing period, the impact of CTSP-Width disappears, and the direct positive impact of CTSP-Depth appears. (3) In the flat period, both the moderator roles of knowledge contribution and knowledge profitability are not significant. In the low-speed climbing period, only knowledge profitability plays the negative moderator role, while in the high-speed growing period, both the knowledge contribution and knowledge profitability play significant negative moderator roles. This suggests that, when the industry develops into maturity, the negative moderation effect of knowledge network gradually appears, which indicates that there is a knowledge network trap.</abstract><cop>Oxford</cop><pub>Hindawi</pub><doi>10.1155/2022/6319717</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-4913-7393</orcidid><orcidid>https://orcid.org/0000-0001-5987-3605</orcidid><orcidid>https://orcid.org/0000-0002-0159-7078</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1530-8669
ispartof Wireless communications and mobile computing, 2022-08, Vol.2022, p.1-13
issn 1530-8669
1530-8677
language eng
recordid cdi_proquest_journals_2707456832
source Wiley Online Library Open Access; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection
subjects Absorptive capacity
Empirical analysis
High speed
Hypotheses
Industrial development
Innovations
Knowledge
Low speed
Perception
Profitability
Raw materials
Regression analysis
Technology
Unmanned aerial vehicles
title Technology Spillover Perception and Knowledge Network Trap in Cross-Industry Innovation: An Empirical Examination from Unmanned Aerial Vehicle (UAV)
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T02%3A11%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Technology%20Spillover%20Perception%20and%20Knowledge%20Network%20Trap%20in%20Cross-Industry%20Innovation:%20An%20Empirical%20Examination%20from%20Unmanned%20Aerial%20Vehicle%20(UAV)&rft.jtitle=Wireless%20communications%20and%20mobile%20computing&rft.au=Zhou,%20Yang&rft.date=2022-08-16&rft.volume=2022&rft.spage=1&rft.epage=13&rft.pages=1-13&rft.issn=1530-8669&rft.eissn=1530-8677&rft_id=info:doi/10.1155/2022/6319717&rft_dat=%3Cproquest_cross%3E2707456832%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2707456832&rft_id=info:pmid/&rfr_iscdi=true