-------- Forwarded Message --------
Dear colleagues,
We once again invite submissions of papers for a special issue at
Business & Information Systems Engineering.
Best regards,
Christoph on behalf of the editors (Viktoria, Manuel, and
Christoph)
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Call for Papers
Business & Information Systems Engineering
Special Issue "The Future of Systems Development: Managing
Technology, Social, and Individual Aspects"
https://link.springer.com/article/10.1007/s12599-023-00819-6
<https://link.springer.com/article/10.1007/s12599-023-00819-6>
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Submission deadline: January 2nd, 2024
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1 Description of the Special Issue
The last two decades have seen considerable changes in the
information technology (IT) landscape. This has been driven by the
rise of data-driven machine learning (ML) and artificial
intelligence (AI) technologies, the prominence of increasingly
digital business strategies, which rely on digital innovation in
almost any industries, the changing role of IT in general, where
the ubiquity of IT leads to an ontological reversal, and profound
changes in the way people in IT and business work together. Along
with these fundamental changes, we have seen the rise of new
solutions, methods, and artifacts, and profound differences in the
ways information systems are engineered. For example, agile
methods are now the de-facto standard approach for developing
systems in industry, and DevOps increasingly transforms how IT
departments develop and operate IT or work together with business
departments or customers. With information systems engineering
tasks increasingly being data-driven and becoming immersive,
customer demands are even more in the focus of research and
practice.
This special issue seeks to advance the body of knowledge in
information systems engineering toward socio-technical approaches
such as next generation systems development, (post) agile, and
DevOps. More precisely, we seek submissions to topics related, but
not limited to the following:
1.1 Technological: Advances in Automation Technologies
Various technologies have changed software engineering by
automating and augmenting many software engineering tasks. For
example, machine learning (ML) has automated tasks such as
generating code and bug fixing. In addition, ML is also widely
adopted in modern software-based systems, including
safety-critical domains such as autonomous cars, medical
diagnosis, or drone flight. Similarly, DevOps practices help speed
up and automate the process of developing, deploying, and managing
applications, such as continuous integration speeding up release
updates. These developments affect information systems engineering
topics such as:
- Changing focus from project to product perspective.
- Developing adequate success measures and performance metrics.
- Effects of automation on software engineering task and task
distribution.
- Novel ways to address innovation in systems development
projects.
- Managing projects and products with high degree of automated
elements.
Changing and new forms of organizing IT work such as outsourcing,
freelancing, consulting.
- …
1.2 Social: Democratizing Software Engineering
While modern software engineering concepts such as agile, DevOps,
and lean have integrated users more into the software engineering
processes, the fusion of IT and business departments into
autonomous product teams and the increasing importance of low-code
and no code platforms have led to the emergence of new software
engineering ecosystems. As a result, a plethora of different
approaches compete for any given scenario, shaping the landscape
of software engineering with even more available options. For
example, low-code platforms such as Mendix are now a viable option
for allowing business users to develop software on their own, with
minimal technical skill and without the apparent need for IT
departments or developers. ML-based tools such as ChatGPT already
demonstrate the ability to build program code based on pure
textual descriptions (no-code). At the same time, this raises
questions related to scalability, reliability, and technical debt
of the solution as well as ethical or legal issues. These
developments affect information systems engineering topics such
as:
- Implications of model-driven and low/no-code development for
managing IT functions.
- Changing and novel information systems engineering roles;
- New information systems engineering trade-offs emerging
(performance vs. quality vs. reliability).
- New forms of organizing information systems development beyond
agile, hybrid, and waterfall.
- Implications for planning, architecture, and governance.
- Implications for education, training, and teaching information
systems engineering.
- …
1.3 Individual: Human Factors in Information Systems Engineering
Although automation, artificial intelligence, and machine learning
are increasingly important, at the same time the human factor
plays an ever more central role in information systems
engineering. For example, it is of paramount importance that the
right people with the right skills are selected to work in
self-organizing product teams, capable of making autonomous
decisions related to all business and technical aspects for their
product. Intra- and inter-team coordination in autonomous teams is
a challenge, especially in large-scale agile settings. Further,
retaining top IT talent is one of the enduring challenges in
research and practice. Changing work conditions including shifting
work-life priorities, external shocks as the COVID pandemic have
severe consequences for individual working in software
engineering. These developments affect information systems
engineering topics such as:
- Motivation, work-life balance, satisfaction, and retention of
software engineers.
- Skills, competencies, knowledge, and job design.
- Project and program management.
- Changes in labor market structures, demands, and career paths.
- Teamwork in agile autonomous teams.
- Coordination in large-scale agile.
- Management/leadership and collaboration in a hybrid work
setting.
- …
This special issue is intended to provide practitioners and
researchers with a venue to present insights, innovations, and
solutions in information systems engineering. We welcome both
behavioral and design-oriented work but submitted papers must have
a strong empirical basis/component to be eligible for this special
issue. BISE provides a forum for information systems engineering
research with a strong empirical component and a venue for
publishing empirical results relevant to both researchers and
practitioners. In addition to the open call for papers, authors of
conference papers are encouraged to submit extended versions of
their work. To comply with the goals of a journal publication, we
are asking to revise and substantially extend the original
conference papers. Some possible extensions can be adding
additional data gathered through case studies or experiments,
additional empirical validation, systematic comparisons with other
approaches, or a sound theoretical foundation. Revised papers
should explicitly explain how they extend the original conference
papers.
2 Submission of Papers
Any form of rigorous theoretical contribution (conceptual,
empirical, or design-oriented) using any scholarly method is
welcome. Papers must address the core theme of next-generation
information systems engineering, and potential topics include, but
are not limited to, the ones outlined above.
Please submit papers by 2 January 2024 at the latest via the
journal’s online submission system
(
http://www.editorialmanager.com/buis/
<http://www.editorialmanager.com/buis/>). Please observe the
instructions regarding the format and size of contributions.
Papers should adhere to the general BISE author guidelines
(
https://www.bise-journal.com/author_guidelines
<https://www.bise-journal.com/author_guidelines>).
All papers will be reviewed anonymously (double-blind process) by
at least two referees regarding relevance, originality, and
research quality. In addition to the editors of the journal,
including those of this special focus, distinguished international
scholars will be involved in the review process.
3 Schedule
Submission Deadline: 2 January 2024
Author Notification 1: 15 April 2024
Completion Revision 1: 1 August 2024
Author Notification 2: 15 September 2024
Completion Revision 2: 15 October 2024
Online publication: ASAP
Publication Date: February 2025
4 Editors
4.1 Special Issue Editors
Christoph Rosenkranz, University of Cologne
Viktoria Stray, University of Oslo
Manuel Wiesche, TU Dortmund University
4.2 Associate Editors
Suranjan Chakraborty, Towson University
Josh Dehlinger, Towson University
Karoline Glaser, TU Dresden
Thomas Huber, ESSEC
Sean Hansen, Rochester Institute of Technology
Falk Howar, TU Dortmund University
Nils Brede Moe, SINTEF Digital
Marius Mikalsen, Norwegian University of Science and Technology
Dawn Owens, University of Texas at Dallas
John Tripp, Clemson University
Dag Sjøberg, University of Oslo
Kai Spohrer, Frankfurt School of Finance and Management
Klaas-Jan Stol, University College Cork
Andreas Vogelsang, University of Cologne
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