[AISWorld] Call for Papers:Government Information Quarterly - Special Issue on IoT and AI for Smart Government

Yogesh K. Dwivedi ykdwivedi at gmail.com
Thu Aug 24 22:57:20 EDT 2017


The Internet of Things (IoT) is an emerging paradigm where everyday objects
are equipped with processors and transceivers that enable them to
communicate with each other and with users, thus becoming a part of the
Internet. The processors and transceivers generate huge amount of data from
which cities and governments can learn new knowledge. In this context,
Artificial Intelligence (AI) provides the algorithms and techniques to
learn from that data and to create new applications.

By enabling interaction with a wide variety of devices such as, home
appliances, surveillance cameras, wearables, smart phones, and vehicles,
loT can facilitate the development of many new services for citizens,
businesses, and public administration. This paradigm finds applications in
various domains, such as home and industrial automation, healthcare, energy
management, safety and security, automotive industry, and traffic
management, among others.

Applications may bring about a number of benefits for public services, such
as transport and parking, lighting, surveillance of public areas, garbage
collection, and healthcare. Furthermore, different types of data collected
by urban loT may be used to increase government transparency, enhance the
awareness of people, and stimulate active participation of citizens in
public administration. According to Pike Research, the smart city market is
estimated to reach hundreds of billion dollars by 2020. However, the
potential of smart cities is impaired by a number of technical, political,
societal, organizational, financial, and policy barriers. IoT allows the
collection of data from different sources by the public and governments,
which enables new information flows and can be used as input for public
policy. This all demands new policies and government structures to deal
with them.

A pressing issue is the non-interoperability of heterogeneous IoT
technologies. The realization of urban loT still lacks established best
practices because of its novelty and complexity. A key challenge is the
fragmentation of the roles and responsibilities of different stakeholders
and their relationships. Citizens might be the owners of devices, data
generators or might be subjects or users of data, which results in complex
relationships between the public and governments. They all have to
collaborate to develop new applications and insights from these data.

While AI and IoT enable the realization of smart government, there are many
unanswered questions in this area. For example, how can technologies be
used to support citizens and governments? How do they shape policies and
services by public sector organizations? What kinds of intelligence can be
created, who audits and curates the data and algorithms and how will the
use of algorithms transform government? What are the issues regarding data
quality, privacy, security, access and identity? What are the issues
specific to IoT in the various domains (health, energy etc.) and can they
learn from each other? Or, what may be some really advanced examples of IoT
applications with data management or advanced intelligence in a smart city
context?

We solicit papers that advance our knowledge in these areas. We welcome
both conceptual and empirical, as well as qualitative and quantitative
research papers.

*Topics may include, but are not limited to, the following:*
 * Policies and curation for dealing with IoT, AI and algorithms
 * Challenges, barriers and drivers of IoT implementation in the local or
national contexts
 * Public value, social implications and performance evaluation of IoT, AI
and algorithms
 * Frameworks and models for IoT and AI application in cities or government
organisations
 * The adoption, implementation, and use of IoT and AI in local or central
administration
 * IoT and AI business models, including private-public partnerships
 * Data quality, access control and open data issues
 * New digital policies for IoT and AI in smart cities and smart
organisations
 * IoT and AI infrastructures and their potential transformational impact
on structure, governance, and processes of government
 * The role of IoT and AI in facilitating public participation and
engagement
 * Privacy and security issues, and relevant policies concerning IoT or AI
deployment
 * Legal and licensing issues and policies
 * Governance mechanisms and policy initiatives to manage IoT/AI interventions
in cities or organisations

*About Government Information Quarterly:*
Government information quarterly (GIQ) is the premier journal at the
intersection of policy, information technology, government, and the public.
In particular, /GIQ/ focuses on how policies affect government information
flows and the availability of government information; the use of technology
to create and provide innovative government services; the impact of
information technology on the relationship between the governed and those
governing; and the increasing significance of information policies and
information technology in relation to democratic practices. In 2016, GIQ
had a CiteScore of 5.81 with a SNIP of 2.121, an impact factor of 4.090 and
a 5-Year Impact Factor of 5.111. This CiteScore ranks GIQ as second among
194 Library & Information Science journals.

Submissions to the special issue should conform to the GIQ focus by
emphasizing policy aspects of the research. Examples of the IOT and AI
applications in the contexts of smart cities and smart governments already
exist. However, knowledge and experience about the consequences of IOT and
AI implementation and corresponding governance mechanisms and policy
initiatives that are vital to managing them are only recently beginning to
emerge. One role of the special issue is to capture, consolidate and
systematize emerging knowledge and experiences about the consequences as a
reference source for adaptation to various national and regional contexts.

*Special Issue Guest Editors:*
Atreyi Kankanhalli, National University of Singapore, Singapore. Email:
atreyi at comp.nus.edu.sg
Yannis Charalabidis, University of the Aegean, Greece. Email:
yannisx at aegean.gr
Yogesh K. Dwivedi, Swansea University, UK. Email: ykdwivedi at gmail.com
Sehl Mellouli, Laval University, Canada. Email: sehl.mellouli at fsa.ulaval.ca

*Special Issue Format:*
We expect 20-30 submissions from which we aim to select 5-6 high quality
papers for the special issue. Each submission will be subject to a
double-blind peer review process with at least two independent reviewers.
For more information visit http://www.journals.elsevier.c
om/government-information-quarterly/call-for-papers/special-
issue-on-smart-city-IoT/.  Authors can contact any of the Guest Editors for
additional information.

*Key Dates for the Special Issue:*
 * Paper submissions: November 30, 2017
 * Complete first round of review: February 29, 2018
 * Authors submit second round: May 31, 2018
 * Complete second round of review (with Accept/Reject decision): August
31, 2018
 * Special Issue ready for submission to GIQ: November 30, 2018

-- 
Professor Yogesh K. Dwivedi, PhD
Professor of Digital Marketing and Innovation
Director of Emerging Markets Research Centre (EMaRC)
School of Management
Room #323
Swansea University, Bay Campus
Fabian Bay, Swansea, SA1 8EN, Wales, UK.
TEL (Office): +44 (0) 1792 602340
Email: y.k.dwivedi at swansea.ac.uk ; ykdwivedi at gmail.com
Home page:http://www.swansea.ac.uk/staff/som/academic-staff/y.k.dwivedi/
---------------------------------------------------------------------------------------------------------------------------
Associate Editor - Government Information Quarterly
Associate Editor for Digital Marketing Section - European Journal of
Marketing
Senior Editor (Europe/Africa/Middle East) - Journal of Electronic Commerce
Research



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