國立虎尾科技大學 |

Financing High-Tech Startups = Using Productive Signaling to Efficiently Overcome the Liability of Complexity /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Financing High-Tech Startups/ by Robin P. G. Tech.
其他題名:	Using Productive Signaling to Efficiently Overcome the Liability of Complexity /
作者:	Tech, Robin P. G.
面頁冊數:	XIX, 206 p.online resource. :
Contained By:	Springer Nature eBook
標題:	New business enterprises. -
電子資源:	https://doi.org/10.1007/978-3-319-66155-1
ISBN:	9783319661551

Financing High-Tech Startups = Using Productive Signaling to Efficiently Overcome the Liability of Complexity /
Tech, Robin P. G.

Financing High-Tech StartupsUsing Productive Signaling to Efficiently Overcome the Liability of Complexity /[electronic resource] :by Robin P. G. Tech. - 1st ed. 2018. - XIX, 206 p.online resource.

Introduction: High-Tech Startup Financing -- Theory: The Liability of Complexity -- Methodology: Mixed Methods Approach -- Study I: Survey of German Startups -- Study II: Interviews with Entrepreneurs and Investors -- Framework: Matching Signals with Complexities of High-Tech Strartups -- Discussion: Why Signals Can Help to Overcome the Liability of Complexity -- Conclusion: Taming Complexity -- Appendix.

This book examines the adverse effects of complexity, information asymmetries, transaction costs, and uncertainty on investors’ decision making. It suggests mitigating those effects using appropriate and matching signals, and analyzes a sample of 903 German startups to quantitatively highlight the distinct financing patterns and characteristics of high-tech startups. It then investigates the reasons for these patterns on the basis of a qualitative study that includes 34 interviews with investors and entrepreneurs in the US and Germany and an international expert panel. Lastly, it presents a framework that matches complexity factors with appropriate productive signals. .

ISBN: 9783319661551

Standard No.: 10.1007/978-3-319-66155-1doiSubjects--Topical Terms:

566880
New business enterprises.

LC Class. No.: HD62.5

Dewey Class. No.: 658.421

Financing High-Tech Startups = Using Productive Signaling to Efficiently Overcome the Liability of Complexity /
LDR:02472nam a22003975i 4500 001 994391
003 DE-He213
005 20200630225908.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319661551 $9 978-3-319-66155-1
024 7 $a 10.1007/978-3-319-66155-1 $2 doi
035 $a 978-3-319-66155-1
050 4 $a HD62.5
072 7 $a KFFH $2 bicssc
072 7 $a BUS017030 $2 bisacsh
072 7 $a KFFH $2 thema
082 0 4 $a 658.421 $2 23
100 1 $a Tech, Robin P. G. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1201754
245 1 0 $a Financing High-Tech Startups $h [electronic resource] : $b Using Productive Signaling to Efficiently Overcome the Liability of Complexity / $c by Robin P. G. Tech.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XIX, 206 p. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Introduction: High-Tech Startup Financing -- Theory: The Liability of Complexity -- Methodology: Mixed Methods Approach -- Study I: Survey of German Startups -- Study II: Interviews with Entrepreneurs and Investors -- Framework: Matching Signals with Complexities of High-Tech Strartups -- Discussion: Why Signals Can Help to Overcome the Liability of Complexity -- Conclusion: Taming Complexity -- Appendix.
520 $a This book examines the adverse effects of complexity, information asymmetries, transaction costs, and uncertainty on investors’ decision making. It suggests mitigating those effects using appropriate and matching signals, and analyzes a sample of 903 German startups to quantitatively highlight the distinct financing patterns and characteristics of high-tech startups. It then investigates the reasons for these patterns on the basis of a qualitative study that includes 34 interviews with investors and entrepreneurs in the US and Germany and an international expert panel. Lastly, it presents a framework that matches complexity factors with appropriate productive signals. .
650 0 $a New business enterprises. $3 566880
650 0 $a Corporations—Finance. $3 1253876
650 0 $a Management. $3 558618
650 0 $a Industrial management. $3 556510
650 0 $a Economic policy. $3 555567
650 0 $a Industrial organization. $3 558299
650 1 4 $a Start-Ups/Venture Capital. $3 1108648
650 2 4 $a Corporate Finance. $3 1069043
650 2 4 $a Innovation/Technology Management. $3 786196
650 2 4 $a R & D/Technology Policy. $3 669186
650 2 4 $a Industrial Organization. $3 669248
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319661544
776 0 8 $i Printed edition: $z 9783319661568
776 0 8 $i Printed edition: $z 9783030097615
856 4 0 $u https://doi.org/10.1007/978-3-319-66155-1
912 $a ZDB-2-BUM
912 $a ZDB-2-SXBM
950 $a Business and Management (SpringerNature-41169)
950 $a Business and Management (R0) (SpringerNature-43719)