AI-enhanced information management & the Global South: developments and issues

  in Special Issue   Posted on September 28, 2020

Information for the Special Issue

Special Issue Call for Papers:

The Global South (GS), a term both contested and misunderstood, has received renewed attention today. Collaboration among stakeholders representing—or claiming allegiance (e.g., China) to—the GS, is on the rise. The velocity and scope of business-to-business (B2B), sectoral, and industry collaboration prompts new modes of cooperation and new ways of thinking about the GS. A new subtle balance of power and influence in the GS permeates business and politics. In a number of ways, e.g., due to the FDI and GVC channels, the ‘Global North’ is influenced by these developments too. Certainly, there is more to it than that. The inroads of the broadly defined AI and the promises it bears will accelerate processes and developments already throbbing in the GS.

In the debate on AI, the question of whether it will be a source of good is vital. In the context of the GS, one key concern is associated with the ‘first mover advantage’. Here, the point is that the Global North, to use the aggregate term, might be able to capture the opportunities first, effectively denying them to actors in the GS. This might lead to exclusion and reproduction of the old global dependency patterns. The hypothesis upon which this special issue builds is that this approach to AI and its likely impact on the GS is Eurocentric because it downplays the developments and tremendous progress attained over in recent years in the GS itself. From a different angle, the same approach commits the fallacy of treating AI as an ontologically coherent entity, thus ignoring the fact that, for instance, neural networks are language- and culture-sensitive.

Infusing these two sets of points, i.e., GS and AI, into the IM debate is likely to offer a hint of new insights into the broad, and yet so relevant question, of what happens—and to what extent—at the intersection of AI-enhanced IM and GS. There are several overlapping layers within which this issue unfolds, and several ways of looking and examining it, including at the micro-level (the business sector, including B2B), the mezzo-level (industries and sectors of the economy), and the macro-level (regional and global patterns of collaboration). The objective of this special issue is to bring these perspectives together and showcase how the respective developments impact the field of information management.

The editors of this special issue encourage submissions that address, but are not limited to, the issues and topics listed below. Please note that the editors will not consider submissions that are technical in nature. The focus and consideration will be given to papers that, whilst theory-based, offer empirical insights into the issues under consideration.

  • AI and IM in learning organisations in the GS, focus on B2B, innovation in industry, BMI, etc.
  • AI and business intelligence and its application in the GS
  • AI and security in organisations based in/collaborating with the GS
  • AI-enhanced IM and social interactions and community development in the GS, including questions of rural/urban collaboration, and smart cities/smart villages
  • AI-enhanced IM and social interactions and community development in the GS, including the role and evolution of social networking sites and networking capabilities
  • AI and information for knowledge creation, including questions of innovation, patent acquisition, best practice emulation
  • AI-driven IM for policymaking, governance, and strategy in relation to the GS
  • AI-enhanced IM for comprehensive growth and development strategies in the GS

Important Dates

Manuscript submission deadline: February 20, 2021

Notification of Review (round 1): April 30, 2021

Revision due: May 30, 2021

Notification of Review (round 2): July 30, 2021

Notification of Final Acceptance: August, 20, 2021

Expected Publication of the Special Issue: Late 2021

Submission Guidelines

All submissions have to be prepared according to the Guide for Authors published on the Journal website at: https://www.elsevier.com/journals/international-journal-of-information-management/0268-4012/guide-for-authors

Authors should select “SI: AI, IM & GS”, from the “Choose Article Type” pull- down menu during the submission process. All contributions must not have been previously published or under consideration for publication elsewhere. The link for submission of a manuscript is: https://www.evise.com/evise/jrnl/IJIM

A submission based on one or more papers that appeared elsewhere has to comprise major value-added extensions over what appeared previously (at least 80% new material). Authors are requested to attach to the submitted paper their relevant, previously published articles and a summary document explaining the enhancements made in the journal version.

All submitted papers will undergo a rigorous peer-review process that will consider programmatic relevance, scientific quality, significance, originality, style, and clarity. This special issue will not consider submissions that are technical in nature. The focus will be to consider strong theory-based empirical submissions.

Guest Editors

Anna Visvizi, PhD: avisvizi@gmail.com

Associate Professor, Deree College–The American College of Greece, Greece

Erasmus+ B-in-EU Jean Monnet Module Coordinator, project co-funded by the European Commission

Visiting Researcher, Effat University, Jeddah, Kingdom of Saudi Arabia

Editor-in-Chief, Transforming Government: People, Process and Policy (#TGPPP)

6 Gravias Street, 15342 Athens, Greece

T. +306947627381

avisvizi@gmail.com

Miltiades D. Lytras, PhD: miltiadis.lytras@gmail.com

Research Professor, Deree College–The American College of Greece, Greece

Distinguished Scientist, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia

Visiting Research Professor, University of Science and Technology, Hefei, China

Visiting Researcher, Effat University, Jeddah, Kingdom of Saudi Arabia

LABEX Research Fellow, UTC, Sorbonne Universities, France

High Value Expert, Tianjin University, China miltiadis.lytras@gmail.com

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