机读格式显示(MARC)

• 000 02591cam a2200445 i 4500

• 001 0000927319

• 003 CAL

• 005 20211014154400.0

• 008 201125s2021 enka b 001 0 eng d

• 010 __ |a 2020950861

• 016 7_ |a 020084287 |2 Uk

• 020 __ |a 180037061X |q hardback

• 020 __ |a 9781800370616 |q hardback

• 020 __ |z 9781800370623 (PDF ebook)

• 035 __ |a (OCoLC)on1180974455

• 040 __ |a YDX |b eng |c YDX |e rda |d BDX |d UKMGB |d OCLCO |d YDX |d OCLCO |d OCLCF |d FIE |d DLC

• 042 __ |a lccopycat

• 050 00 |a HD30.2 |b .R475 2021

• 082 04 |a 658.4038 |2 23

• 090 __ |a C931.6/R432

• 093 __ |a C931.6 |2 5

• 099 __ |a CAL 022021067511

• 245 02 |a A research agenda for knowledge management and analytics / |c edited by Jay Liebowitz.

• 264 _1 |a Cheltenham, UK ; |a Northampton, MA : |b Edward Elgar Publishing, |c [2021]

• 300 __ |a xxiv, 232 pages : |b illustrations ; |c 24 cm.

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 490 1_ |a Elgar research agendas

• 504 __ |a Includes bibliographical references and index.

• 520 __ |a Leveraging the knowledge gained from Knowledge Management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM). Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance. Chapters investigate KM as it applies to business, library and information science, enterprise-wide strategies, innovation, privacy and data, measurement, Analytics, and AI, before summarising the lessons learned and best practices for future research. A Research Agenda for Knowledge Management and Analytics will be a key resource for students, academics and practitioners working in the fields of KM and Analytics, helping the academics of the future to build on existing successes and identify ways to further develop the field. -- |c Provided by publisher.

• 650 _0 |a Knowledge management |x Research.

• 650 _0 |a Organizational learning.

• 650 _7 |a Organizational learning. |2 fast

• 700 1_ |a Liebowitz, Jay, |e editor.

• 776 08 |i ebook version : |z 9781800370623

• 830 _0 |a Elgar research agendas.

• 920 __ |a 242450 |z 1

• 921 __ |a CASHL |b CEPIEC |c 9781800370616

• 998 __ |a CASHL