[AISWorld] CFP: ITM Special issue on “Theoretical and Methodological Advances for Research on the Adoption and Diffusion of New ITs and Technological Innovations”

Angsana T. angsana.t at gmail.com
Thu Dec 31 04:10:25 EST 2009


****** Paper submission deadline: January 15, 2010 ******
*Call for Papers:
Information Technology and Management*

*S**pecial Issue on “Theoretical and Methodological Advances
for Research on the Adoption and Diffusion of
New ITs and Technological Innovations”*

*
_____________________________________________________________________________________
*

*Guest Editors***

*Ajit Kambil*, Deloitte Research; akambil at mac.com *
**Robert J. Kauffman*, Arizona State University; rkauffman at asu.edu *
**Angsana A. Techatassanasoontorn*, Pennsylvania State University;
angsanat at ist.psu.edu **

*Motivation*

There is a growing recognition that adoption and extensive diffusion of new
ITs and technological innovations are critical for individuals to have
meaningful engagements in an information society. Similarly important are
new IT and technology innovations that help organizations to survive and
thrive in the highly competitive environment of the global economy.  Another
frontier for impact is at the country level for sustainable social and
economic development.  Some examples include the emergence of new
technologies, such as mobile and Internet-based telephony, open software
systems, infrastructure and application support for digital social networks,
digital entertainment services on the Internet, and more intelligent
hardware-based data storage systems. Their incorporation into innovative
products and services has had dramatic benefits at all these levels.

The adoption and diffusion of new technologies and innovations research
literature is voluminous and has identified a number of factors associated
with adoption and diffusion across multiple levels. For instance, the
technology acceptance model offers a parsimonious theory to explain
individual acceptance of a new innovation.  Similarly, cumulative research
at the organizational and interorganizational levels has been able to
explain innovation-related needs and abilities that are associated with
different adoption behaviors. However, as a number of leading senior
scholars and industry observers have expressed, there still are many
opportunities for theory development in the adoption and diffusion of new
innovations area.  For example, Lucas et al. (2007) stated that much
research up to the present has emphasized individual adoption and acceptance
of innovations. They called for a broader umbrella of research that offers
rich theorizing for innovations with technology by accounting for the
relevant technological, institutional, and historical contexts. Fichman
(2004) called for research to move beyond the dominant paradigm of
establishing the relationships between the independent variables of
innovator profiles, and the dependent variables of innovation quantity. Some
of the most promising opportunities for theory development involve such
topics as contagion effects, management fashion, innovation mindfulness,
technology ecosystems and innovation life cycles, innovation configurations,
technology destinies, the evolution of standards organizations, and
quality-led innovation.

Moreover, there are many new methods that can address research questions and
offer new approaches for theory development. For example, survival analysis
from public health and spatial econometrics from geographical information
systems offer new ways to support the development of next-stage theoretical
perspectives on the adoption and diffusion process for different
technological innovations.  The same can be said for data mining and other
advanced statistical methods that blend techniques from computer science to
emphasize the recognition of patterns and regime shifts and changes.

A final aspect of the motivation for this special issue is to engage
industry researchers, thought leaders, and practice innovators, who have
special organizational, business, government and other context reasons for
developing new approaches to understanding how technologies and innovations
diffuse.  Some recent examples of specific interest include the diffusion of
social networking technologies, outsourcing and new approaches to IT
services, and mobile and nomadic computing.

Our objective of this special issue is to publish managerially interesting,
rigorous, forward-looking, and innovative research that advances theoretical
and methodological knowledge regarding the adoption and diffusion of new
technologies and innovations.  Some prospective topics may include but are
not limited to the following:

Advertising-related technology innovations

Banking and financial services systems

Blogs and social networking technologies

Business intelligence & analytics

Business process modeling innovations

Digital media & entertainment innovations

Digital music & artistic transmutations

Electronic billing systems

Electronic voting & e-government systems

Financial market & trading technologies

Financial risk management systems

Healthcare systems and technologies

High-definition TV systems & standards

Information goods & digital products

Information privacy & digital security

ITs for economic & social development

Location-based systems & services

Management fashion developments

Market operations & exchange solutions

Mobile telecommunication systems

Nomadic computing service innovations

Online auctions and market mechanisms

Online instruction & digital learning aids Open software and systems
innovations

Service-oriented systems & technologies

Statistical methods for IT adoption study

Technology ecosystem forecasting tools

Technological innovation-led performance

Technology stack, infrastructure changes

Vendor-managed inventory, supply chain

Vertical information systems standards

Yield management and revenue control

*Important Dates*

Paper submission deadline:         January 15, 2010
First review by:                         April 15, 2010
First revision by:                        July 15, 2010
Additional reviews/revisions:      July 15, 2010 to December 1, 2010
Notification of acceptance:         As early as possible, but not later than
January 31, 2011

*Paper Format*

Each manuscript page should have a 1-inch margin on the top, bottom, right
and left. Font sizes must be set to 12 and font type must be double-spaced
Times New Roman.  The first page should contain the title, abstract, and
keywords. This first page should not be numbered. The abstract should be
less than 200 words. List 2 to 6 keywords representing your research below
the abstract. Each subsequent page should be numbered starting with 2.
Maximum numbered page length is 32 pages, including figures, tables, and
references. For reference styles, see the following link posted on *Information
Technology and Management* journal website:
www.springeronline.com/sgw/cda/frontpage/0,11855,4-170-70-35612778-0,00.html.
**

*Online Submission and Review Process*

All manuscripts must be submitted online at the journal’s website at
www.editorialmanager.com/item/. The website provides instructions on how to
register and submit a manuscript. All papers will be peer- reviewed by
experts in the research area.  The guest editors make final decisions on
acceptance.

*References*

1.       R. G. Fichman. Going beyond the dominant paradigm for information
technology innovation research: emerging concepts and methods, *Journal of
the Association for Information Systems* *5*(8) (2004) 314-355.

2.       H. C. Lucas, Jr., E. B. Swanson, and R. W. Zmud.  Implementation,
innovation, and related themes over the years in information systems
research,* Journal of the Association for Information Systems* 8(4) (2007)
206-210.
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