國立高雄大學圖資館 |

Language: English

Back

Organizational learning in the age o...

Banasiewicz, Andrew.

Organizational learning in the age of data

Record Type:	Electronic resources : Monograph/item
Title/Author:	Organizational learning in the age of databy Andrew Banasiewicz.
Author:	Banasiewicz, Andrew.
Published:	Cham :Springer International Publishing :2021.
Description:	xv, 307 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Decision makingData processing.
Online resource:	https://doi.org/10.1007/978-3-030-74866-1
ISBN:	9783030748661$q(electronic bk.)

Organizational learning in the age of data
Banasiewicz, Andrew.

Organizational learning in the age of data[electronic resource] /by Andrew Banasiewicz. - Cham :Springer International Publishing :2021. - xv, 307 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8595. - EAI/Springer innovations in communication and computing..

Introduction -- Out with the Old In with the New -- Democratization of Organizations -- Organizational Dynamics and Individual Cognition -- Learning with Data: A Brief History -- Learning with Data in the 21st Century -- Managing by the Numbers -- Decision Automation -- In Machine we Trust -- Letting Go - Knowing When and How -- The Future -- Conclusion.

This book discusses the impact of advanced information technologies, such as data processing, machine learning, and artificial intelligence, on organizational decision-making processes and practices. One of the book's central themes is the interplay between human reasoning and machine logic in the context of organizational functioning, specifically, the fairly common situations in which subjective beliefs are pitted against objective evidence giving rise to conflict rather than enhancing the quality of organizational sensemaking. Aiming to not only raise the awareness of the potential challenges but also to offer solutions, the book delineates and discusses the core impediments to effective human-information technology interactions, and outlines strategies for overcoming those obstacles on the way to enhancing the efficacy of organizational decision-making. Tackles inherently technical aspects of advanced information technologies and cognitive functioning; Discusses what it means to 'learn' and 'know' in the age of data and advanced information technologies such as big data, data analytics, AI, and machine learning; Provides specific recommendations for how to effectively combine the power of information technology with human creative thinking.

ISBN: 9783030748661$q(electronic bk.)

Standard No.: 10.1007/978-3-030-74866-1doiSubjects--Topical Terms:

235779
Decision making
--Data processing.

LC Class. No.: HD30.23

Dewey Class. No.: 658.403

Organizational learning in the age of data
LDR:02653nmm a2200337 a 4500 001 602324
003 DE-He213
005 20210708134522.0
006 m d
007 cr nn 008maaau
008 211112s2021 sz s 0 eng d
020 $a 9783030748661$q(electronic bk.)
020 $a 9783030748654$q(paper)
024 7 $a 10.1007/978-3-030-74866-1 $2 doi
035 $a 978-3-030-74866-1
040 $a GP $c GP
041 0 $a eng
050 4 $a HD30.23
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 658.403 $2 23
090 $a HD30.23 $b .B212 2021
100 1 $a Banasiewicz, Andrew. $3 897964
245 1 0 $a Organizational learning in the age of data $h [electronic resource] / $c by Andrew Banasiewicz.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xv, 307 p. : $b ill., digital ; $c 24 cm.
490 1 $a EAI/Springer innovations in communication and computing, $x 2522-8595
505 0 $a Introduction -- Out with the Old In with the New -- Democratization of Organizations -- Organizational Dynamics and Individual Cognition -- Learning with Data: A Brief History -- Learning with Data in the 21st Century -- Managing by the Numbers -- Decision Automation -- In Machine we Trust -- Letting Go - Knowing When and How -- The Future -- Conclusion.
520 $a This book discusses the impact of advanced information technologies, such as data processing, machine learning, and artificial intelligence, on organizational decision-making processes and practices. One of the book's central themes is the interplay between human reasoning and machine logic in the context of organizational functioning, specifically, the fairly common situations in which subjective beliefs are pitted against objective evidence giving rise to conflict rather than enhancing the quality of organizational sensemaking. Aiming to not only raise the awareness of the potential challenges but also to offer solutions, the book delineates and discusses the core impediments to effective human-information technology interactions, and outlines strategies for overcoming those obstacles on the way to enhancing the efficacy of organizational decision-making. Tackles inherently technical aspects of advanced information technologies and cognitive functioning; Discusses what it means to 'learn' and 'know' in the age of data and advanced information technologies such as big data, data analytics, AI, and machine learning; Provides specific recommendations for how to effectively combine the power of information technology with human creative thinking.
650 0 $a Decision making $x Data processing. $3 235779
650 0 $a Machine learning. $3 188639
650 1 4 $a Communications Engineering, Networks. $3 273745
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a IT in Business. $3 703717
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a EAI/Springer innovations in communication and computing. $3 803446
856 4 0 $u https://doi.org/10.1007/978-3-030-74866-1
950 $a Engineering (SpringerNature-11647)