東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Big data approach to firm level inno...

Hosseini, Seyed Mehrshad Parvin.

FindBook

Google Book

Amazon

博客來

Big data approach to firm level innovation in manufacturing = industrial economics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big data approach to firm level innovation in manufacturing/ by Seyed Mehrshad Parvin Hosseini, Aydin Azizi.
其他題名:	industrial economics /
作者:	Hosseini, Seyed Mehrshad Parvin.
其他作者:	Azizi, Aydin.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	vii, 72 p. :ill., digital ;24 cm.
內容註:	Chapter 1: Introduction to innovation activities -- Chapter 2: The role of SME's in innovation activities -- Chapter 3: Overview of innovation activities in Southeast Asia -- Chapter 4: From Linear model to Chain Linked model of innovation in reaching firm characteristics that facilitate and lowering the cost of innovation -- Chapter 5: Predicting level of innovation -- Chapter 6: Factors affecting the decision to innovate and related policies.
Contained By:	Springer Nature eBook
標題:	Production management. -
電子資源:	https://doi.org/10.1007/978-981-15-6300-3
ISBN:	9789811563003

Big data approach to firm level innovation in manufacturing = industrial economics /
Hosseini, Seyed Mehrshad Parvin.

Big data approach to firm level innovation in manufacturingindustrial economics /[electronic resource] :by Seyed Mehrshad Parvin Hosseini, Aydin Azizi. - Singapore :Springer Singapore :2020. - vii, 72 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

Chapter 1: Introduction to innovation activities -- Chapter 2: The role of SME's in innovation activities -- Chapter 3: Overview of innovation activities in Southeast Asia -- Chapter 4: From Linear model to Chain Linked model of innovation in reaching firm characteristics that facilitate and lowering the cost of innovation -- Chapter 5: Predicting level of innovation -- Chapter 6: Factors affecting the decision to innovate and related policies.

This book discusses utilizing Big Data and Machine Learning approaches in investigating five aspects of firm level innovation in manufacturing; (1) factors that determine the decision to innovate (2) the extent of innovation (3) characteristics of an innovating firm (4) types of innovation undertaken and (5) the factors that drive and enable different types of innovation. A conceptual model and a cost-benefit framework were developed to explain a firm's decision to innovate. To empirically demonstrate these aspects, Big data and machine learning approaches were introduced in the form of a case study. The result of Big data analysis as an inferior method to analyse innovation data was also compared with the results of conventional statistical methods. The implications of the findings of the study for increasing the pace of innovation are also discussed.

ISBN: 9789811563003

Standard No.: 10.1007/978-981-15-6300-3doiSubjects--Topical Terms:

518951
Production management.

LC Class. No.: TS155 / .H677 2020

Dewey Class. No.: 658.514

Big data approach to firm level innovation in manufacturing = industrial economics /
LDR:02453nmm a2200349 a 4500 001 2222454
003 DE-He213
005 20201111094007.0
006 m d
007 cr nn 008maaau
008 210108s2020 si s 0 eng d
020 $a 9789811563003 $q (electronic bk.)
020 $a 9789811562990 $q (paper)
024 7 $a 10.1007/978-981-15-6300-3 $2 doi
035 $a 978-981-15-6300-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TS155 $b .H677 2020
072 7 $a KC $2 bicssc
072 7 $a BUS069000 $2 bisacsh
072 7 $a KC $2 thema
072 7 $a KCB $2 thema
082 0 4 $a 658.514 $2 23
090 $a TS155 $b .H829 2020
100 1 $a Hosseini, Seyed Mehrshad Parvin. $3 3461213
245 1 0 $a Big data approach to firm level innovation in manufacturing $h [electronic resource] : $b industrial economics / $c by Seyed Mehrshad Parvin Hosseini, Aydin Azizi.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a vii, 72 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
505 0 $a Chapter 1: Introduction to innovation activities -- Chapter 2: The role of SME's in innovation activities -- Chapter 3: Overview of innovation activities in Southeast Asia -- Chapter 4: From Linear model to Chain Linked model of innovation in reaching firm characteristics that facilitate and lowering the cost of innovation -- Chapter 5: Predicting level of innovation -- Chapter 6: Factors affecting the decision to innovate and related policies.
520 $a This book discusses utilizing Big Data and Machine Learning approaches in investigating five aspects of firm level innovation in manufacturing; (1) factors that determine the decision to innovate (2) the extent of innovation (3) characteristics of an innovating firm (4) types of innovation undertaken and (5) the factors that drive and enable different types of innovation. A conceptual model and a cost-benefit framework were developed to explain a firm's decision to innovate. To empirically demonstrate these aspects, Big data and machine learning approaches were introduced in the form of a case study. The result of Big data analysis as an inferior method to analyse innovation data was also compared with the results of conventional statistical methods. The implications of the findings of the study for increasing the pace of innovation are also discussed.
650 0 $a Production management. $3 518951
650 0 $a Manufacturing processes $x Technological innovations. $3 1001844
650 0 $a Big data. $3 2045508
650 1 4 $a Economy-wide Country Studies. $3 2181785
650 2 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Business and Management, general. $3 2162672
650 2 4 $a Engineering Design. $3 891033
700 1 $a Azizi, Aydin. $3 3380105
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in applied sciences and technology. $3 1565541
856 4 0 $u https://doi.org/10.1007/978-981-15-6300-3
950 $a Economics and Finance (SpringerNature-41170)