[AISWorld] Final CFP: KM&EL Special Issue on “The War for Talent: Technologies and Solutions toward Competency and Skills Development and Talent Identification”

maggie wang maggiemhwang at gmail.com
Fri Sep 28 23:42:11 EDT 2012


*Final **Call for Papers***



*Knowledge Management & E-Learning: An International Journal (KM&EL)***

*(Indexed by SCOPUS)*



*Special Issue on***



*“The War for Talent: Technologies and Solutions **t**oward
Competency and Skills Development and Talent Identification**”*

* *

*Guest Editors*

* *

*Dr. Fanny Klett (IEEE Fellow)***

Director,

German Workforce ADL Partnership Laboratory, Germany

Email: fanny.klett.de at adlnet.gov



*Dr. Maggie M. Wang***

Faculty of Education,

The University of Hong Kong, Hong Kong

Email: magwang at hku.hk



This special issue of the KM&EL international journal is dedicated to
advanced technological solutions and novel methodical approaches toward
human capital management in terms of career development, assessment and
recruitment as a driver for innovation and sustainable competitive
advantage for academia and businesses in the changing conditions of the
global employment market, and the War for Talent. Latest
competitiveness-driven developments in productivity and services move
forward human capital management and assessment technology and services
alongside with talent identification as a driver for innovation and key
source of maximizing the Return-On-Investment in people and technology in
academia and businesses. Governments and businesses start thinking about
competency and skills development as the critical issue for the workforce,
and the workplaces. Against this background, a complex interrelationship
arises between strategic management, human capital management, and the
overall quality management in every educational and enterprise setting. In
addition, identifying highly competent human capital develops into a
challenging issue of the recruitment process.



It seems like a paradox that recently we have been saying that we need the
right content in the right context at the right time. Now, the War for
Talent is on, and one of the main challenges refers to having the right
employees with the right qualifications at the right time. Shifting from
content management to human capital management and talent identification
involves conventional and new technologies, and traditional and novel
approaches to learning, assessment and performance technologies, and
quality management. Many exciting technologies exist, but the application
of these technologies for quality management and recruitment needs, skills
and competency development has often been lacking coherence and their
uptake unacceptably delayed.



The goal of this Special Issue is to provide a forum for academics and
practitioners to draw attention to future trends and recent developments as
well as practical implementations and evaluation results in assessment,
competency and recruitment technology.



The topics of interest include, but are not limited to:

   - Novel models for quality of learning, training and assessment
   - Next generation learning, training and assessment environments
   - Assessment methodologies toward meaningfulness and practical
   effectiveness of learning and skills, and related technologies and
   developments
   - Screening technologies and developments
   - Technology infrastructures for adopting career development, and
   serving recruitment, screening and matching processes
   - Technology infrastructures for competency development in education,
   and the alignment of curricula and possible career pathways
   - Technology infrastructures for the alignment between strategic
   management, knowledge management and quality management in organizations
   - Standardization in terms of personal data, competency data, curriculum
   vitae, e-portfolios, job postings formats



We are interested in both theoretical and practical papers that aim to
improve education, corporate training, human performance, human capital
management as well as human capital identification by applying novel
technologies and methods. We would like to stimulate interest in the issues
across academia, practice, industry, research and policy, and therefore we
welcome focused papers from all sectors.

*Important Dates**  *



Submission due: 15th October 2012

Notification of acceptance: 15th December 2012

Publication schedule: Vol.5, No.1 (2013)

* *

*Submission Instructions** *



Electronic submission by email to Guest Editors is required (*
fanny.klett.de at adlnet.gov* or magwang at hku.hk).



Papers must not have been published, accepted for publication, or presently
be under consideration for publication elsewhere. A standard double-blind
review process will be used for selecting papers to be published in this
special issue. Authors should follow the instructions outlined in the KM&EL
Website (see URL
http://www.kmel-journal.org/ojs/index.php/online-publication/about/submissions#onlineSubmissions
)



For more information about the KM&EL, please visit the web site:

http://www.kmel-journal.org/ojs/index.php/online-publication
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