[AISWorld] Special Issue: IJIM_ Generative Smart Tourism Systems & Management: Man-Machine Interaction

[Chulmo Koo]

International Journal of Information Management (SSCI)

Special Issue on Generative Smart Tourism Systems & Management: Man-Machine
Interaction

Guest Editors

Chulmo Koo
Associate Professor, College of Hotel and Tourism Management, Kyung Hee
University (Korea)
helmetgu at khu.ac.kr
Kyung- Hyan Yoo
Assistant Professor, William Paterson University of New Jersey (USA)
Email: yook2 at wpunj.edu
Jae-Nam Lee
Professor, Korea University Business School (Korea)
isjnlee at korea.ac.kr
Markus Zanker,
Associate Professor, Alpen-Adria-Universitaet Klagenfurt (Austria)
markus.zanker at aau.at

Theme

Tourism is an information-based business. Tourism businesses are rapidly
evolving into a smart networked business based on recent growing
man-machine and peer-to-peer interactions. Tourism business with digital
networks is now transforming the tourism industry and travelers’
experience. Information Technology (IT) & Management have traditionally
played for the acquisition, processing, analysis, storage, retrieval,
dissemination, and application of information in manufacturing activities,
service pursuits, and employment et al. and operated information processing
for decision making at various levels in organizations. Tourism industry
associated with IT & Management has evolved boundlessly based on
Smartphones with the open application programming interface (API), which
generates creative tourism business models in the mobile age. This
particular, to tourism markets which have changed the entire industries as
a re-named ‘smart tourism’. What is ‘smart’ and why is it important? We can
state that smart means ‘optimized for a specific need’ in a specific
context either on demand or real-time base. This trend leads to the
emergence of “Generative Smart Tourism.” While this concept has not yet
been explored and defined, generative smart tourism can be explained as
providing personalized, location-based, and context-aware travel
information services on demand based on the generative process of
state-of-art information technologies and management engaging in human and
machines. A generative process can be conceptualized by using the
biological notion of genotype and phenotype. The genotype invariably acts
to structure a pre-specified form, whereas the phenotype indicates the
creation process through the travelers’ engagement. If the genotype
specification includes mechanisms which are responsive to environmental
feedback, travelers or businesses can also ‘interact’ with the phenotype
and potentially influence future outcomes of the system. Theoretically,
creatively emergent systems overcome this restriction as environmental
feedback can induce structural change and the creation of new primitives.
Experience-based modification of genotype and enacting mechanisms are the
key to the creation of inexhaustible and variable phenotype possibilities.
Information management embedded in smartness indicates that the network of
cooperating businesses can create better results intelligently than others.
To be generative and smart in tourism, tourism business needs to be
designed to bridge all of the fields’ components by collaborating with a
man-machine system and management, which enables users not only to design
their own personalized tour itinerary but also to get new tour experience
by themselves. Genotypic tourism specification and digital generative
process can be implemented by the open-ended dynamics of data and chemical
transformation of human experience and machine sensory data, thereby
leading to the change of the existing traditional facilities, agents,
players, and processes. Despite the fact that this concept is difficult to
define and has not been demonstrated in the area of tourism, it seems that
this concept is associated with the digitally networked man-machine that
can produce innovative and successful smart tourism instrumental systems.
The systems implemented in a speedy network can be accessible by anyone, at
anytime, and from anywhere. In sum, “Generative Smart Tourism” can be a new
driving force for innovation in tourism by making organizations and
tourists more interactive using man-machine systems. It means that the
generative smart tourism can produce value-added goods and services for
tourists by way of a systematic organism that is composed of tourism
related systems, data, machines, devices, tourists, suppliers, and tourism
companies. We believe that potential tourism products and services will be
creatively generated by open-ended dynamics of the digital swarm.
Therefore, this special issue attempts to identify the concept and practice
of “generative smart tourism and management” where participants in the
tourism network are linked to each other through man-machine systems that
make the tourism network more effective, the relationships among components
in tourism more flexible, and the generative intelligence in smart tourism
more feasible.

Topics
The special issue’s particular interest lies on papers that focus on (1)
People: smart tourists’ behavior, (2) Organization: smart business
management, (3) Man-Machine Technology: smart contents, products, devices,
and process innovations interacting with systems. From a tourism
perspective, understanding the changes in travelers’ attitudes/behaviors
and their interactions with intelligent systems, host communities, and
travel businesses in smart tourism could provide both theoretical and
practical implications for tourism industry. Possible topics of papers may
include (but they are not limited):

• Generative machines
• Generative smart tourism
• Smart technologies & management in tourism
• Electronic brokerage and marketplaces for tourists, agencies, and vendors
• Electronic marketplaces through social network services
• IT architectures and models for smart tourism (e.g., e-tourism and smart
services)
• The role of IT in smart tourism business models
• Managerial and technical barriers of interoperability and standards
• Acceptance, adoption, diffusion, and assimilation of technologies,
products, and services in tourism
• Privacy and security issues in smart tourism infrastructures
• The effect of smart technologies on traditional tourism
• Policy, strategy, management of smart tourism
• Smart tourism business processes and their innovation
• Value chain analysis in the networked tourism industry
• Business intelligence applicable for smart tourism
• Theoretical and methodological development to understand smart tourism
related phenomena

Important deadlines
Submission Deadline: 30 August 2015
1st Decision: 21 Oct 2015
Submission for 2nd round of review: 22 Nov 2015
2nd Decision: 29 Nov 2015
Submission for last round of review: 1 Dec2015
Final Decision and Notification: 30 Jan 2016

http://www.journals.elsevier.com/…/special-issue-on-genera…/
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Chulmo Koo, Ph.D.
Associate Professor, the College of Hotel & Tourism Management
Kyung Hee University
26 Kyunghee-daero, Heogi-dong, Dongdaemun-gu, Seoul 130-701,
Republic of Korea
Office:+82-2-961-2349 / Fax:+82-2-964-2537
Mobile:+82-10-2505-1393
e-mail: helmetgu at khu.ac.kr
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