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Call for Papers, Issue 1/2025
The Future of Systems Development: Managing Technology, Social, and Individual Aspects
- Call for Paper
- Open access
- Published: 12 June 2023
- Volume 65 , pages 483–486, ( 2023 )
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- Christoph Rosenkranz 1 ,
- Viktoria Stray 2 &
- Manuel Wiesche 3
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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 (Janiesch et al. 2021 ), the prominence of increasingly digital business strategies (Bharadwaj et al. 2013 ), which rely on digital innovation in almost any industries (Vial 2021 ), the changing role of IT in general, where the ubiquity of IT leads to an ontological reversal (Baskerville et al. 2020 ), and profound changes in the way people in IT and business work together (Urbach et al. 2019 ). 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 (Conboy 2009 ) are now the de-facto standard approach for developing systems in industry (VersionOne 2022 ), and DevOps increasingly transforms how IT departments develop and operate IT or work together with business departments or customers (Peters et al. 2022 ). 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 (GitHub 2022 ; Mashhadi and Hemmati 2021 ). 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 (von Krogh 2018 ). Similarly, DevOps practices help speed up and automate the process of developing, deploying, and managing applications, such as continuous integration speeding up release updates (Wiedemann et al. 2020 ). 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 (Bock and Frank 2021 ; Karl et al. 2020 ; Maruping and Matook 2020 ). 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 (Frank et al. 2021 ). 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 (Tyler et al. 2019 ). Intra- and inter-team coordination in autonomous teams is a challenge, especially in large-scale agile settings (Berntzen et al. 2022 ). Further, retaining top IT talent is one of the enduring challenges in research and practice (Wiesche et al. 2019 ). 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.
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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/ ). 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 ).
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.
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
4.1 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, U Cologne
Baskerville RL, Myers MD, Youngjin Y (2020) Digital first: the ontological reversal and new challenges for information systems research. MIS Q 44(2):509–523
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Bharadwaj A, El Sawy OA, Pavlou PA, Venkatraman N (2013) Digital business strategy: toward a next generation of insights. MIS Q 37(2):471–482
Berntzen M, Hoda R, Moe N, Stray V (2022) A taxonomy of inter-team coordination mechanisms in large-scale agile. IEEE Trans Softw Eng https://doi.org/10.1109/TSE.2022.3160873
Bock AC, Frank U (2021) Low-code platform. Bus Inf Syst Eng 63(6):733–740
Conboy K (2009) Agility from first principles: reconstructing the concept of agility in information systems development. Inf Syst Res 20(3):329–354
Frank U, Maier P, Bock A (2021) Low code platforms: promises, concepts and prospects. A comparative study of ten systems. ICB-Research Report. https://www.econstor.eu/handle/10419/248826 . Accessed 15 May 2023
GitHub (2022) Copilot. https://github.com/features/copilot . Accessed 7 Dec 2022
Janiesch C, Zschech P, Heinrich K (2021) Machine learning and deep learning. Electron Mark 31(3):685–695
Karl H, Kundisch D, Meyer auf der Heide F, Wehrheim H (2020) A case for a new IT ecosystem: on-the-fly computing. Bus Inf Syst Eng 62(6):467–481
Maruping LM, Matook S (2020) The evolution of software development orchestration: current state and an agenda for future research. Eur J Inf Syst 29(5):443–457
Mashhadi E, Hemmati H (2021) Applying Codebert for automated program repair of Java simple bugs. In: IEEE/ACM 18th international conference on mining software repositories, pp 505–509
Peters C, Farley D, Villalba D, Stanke D, DeBellis D, Maxwell E, Meyxer JS, Xu K, Harvey N, Kulesza T (2022) Accelerate state of DevOps 2022. https://cloud.google.com/devops/state-of-devops . Accessed 7 Dec 2022
Tyler I, Struckman C, Skyttegaard P (2019) Increase IT value: shift your seat at the table. Report ID G00350890. Gartner, Stamford
Urbach N, Ahlemann F, Böhmann T, Drews P, Brenner W, Schaudel F, Schütte R (2019) The impact of digitalization on the IT department. Bus Inf Syst Eng 61(1):123–131
VersionOne (2022) The 16th annual state of Agilev report. https://stateofagile.com/ . Accessed 7 Dec 2022
Vial G (2021) Understanding digital transformation: a review and a research agenda. Managing Digital Transformation. J Strateg Inf Syst 28(2):118–144
von Krogh G (2018) Artificial intelligence in organizations: new opportunities for phenomenon-based theorizing. Acad Manag Discov 4(4):404–409. https://doi.org/10.5465/amd.2018.0084
Wiedemann A, Wiesche M, Gewald H, Krcmar H (2020) Understanding how DevOps aligns development and operations: a tripartite model of intra-IT alignment. Eur J Inf Syst. https://doi.org/10.1080/0960085X.2020.1782277
Wiesche M, Joseph D, Thatcher J, Gu B, Krcmar H (2019) IT workforce research curation. MIS Q Res Curation. https://www.misqresearchcurations.org/blog/2019/6/17/it-workforce
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Rosenkranz, C., Stray, V. & Wiesche, M. Call for Papers, Issue 1/2025. Bus Inf Syst Eng 65 , 483–486 (2023). https://doi.org/10.1007/s12599-023-00819-6
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Published : 12 June 2023
Issue Date : August 2023
DOI : https://doi.org/10.1007/s12599-023-00819-6
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Computer Science > Information Retrieval
Title: gume: graphs and user modalities enhancement for long-tail multimodal recommendation.
Abstract: Multimodal recommendation systems (MMRS) have received considerable attention from the research community due to their ability to jointly utilize information from user behavior and product images and text. Previous research has two main issues. First, many long-tail items in recommendation systems have limited interaction data, making it difficult to learn comprehensive and informative representations. However, past MMRS studies have overlooked this issue. Secondly, users' modality preferences are crucial to their behavior. However, previous research has primarily focused on learning item modality representations, while user modality representations have remained relatively this http URL address these challenges, we propose a novel Graphs and User Modalities Enhancement (GUME) for long-tail multimodal recommendation. Specifically, we first enhance the user-item graph using multimodal similarity between items. This improves the connectivity of long-tail items and helps them learn high-quality representations through graph propagation. Then, we construct two types of user modalities: explicit interaction features and extended interest features. By using the user modality enhancement strategy to maximize mutual information between these two features, we improve the generalization ability of user modality representations. Additionally, we design an alignment strategy for modality data to remove noise from both internal and external perspectives. Extensive experiments on four publicly available datasets demonstrate the effectiveness of our approach.
Comments: | 11 pages, accepted by CIKM 2024 |
Subjects: | Information Retrieval (cs.IR); Artificial Intelligence (cs.AI) |
Cite as: | [cs.IR] |
(or [cs.IR] for this version) | |
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COMMENTS
Calls for Papers ISR — Special Issue on Analytical Creativity Special Issue Editors. Min Ding (Penn State), [email protected] Ram Gopal (University of Warwick), [email protected] Ulrike Schultze (University of Groningen), [email protected] D. J. Wu (Georgia Institute of Technology), [email protected] Submissions will be accepted beginning on January 2, 2024
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Computation over Compressed Data. The aim of the special issue is to attract strong contributions within the fields of compact and compressed data structures and compression-aware algorithms, recent research areas that merge techniques from algorithms, data structures, and information theory in order to tackle "data deluge" witnessed by research fields including, but not limited to ...
Call for Papers. Information Systems Frontiers is seeking submissions for forthcoming Special Issues. Current open Calls for Papers include: Artificial Intelligence and Machine Learning: New Frontier of Research, Practice and Method for Transformative Changes in IS. Guest Editors. Sujeet Kumar Sharma, Indian Institute of Management, Nagpur, India.
JAIS is pleased to announce the Call for Papers: Digital Sustainability and Information Systems Research - Article Submission Deadline: October 2, 2024 - Co-editors of this special issue - Julia Kotlarsky, Jacqueline Corbett, Juliana Sutanto, Yenni Tim and Thomas Kude will be running two information sessions on 19 and 20 February 2024 aiming ...
Information Systems Journal is an international information technology journal publishing a broad range of impactful information systems (IS) research. ISJ publishes papers addressing the challenges and opportunities in making information systems a positive contribution to practice, policy, and society more broadly.
Information Systems Research (ISR) is a leading peer-reviewed, international journal focusing on theory, research, and intellectual development for information systems in organizations, institutions, the economy, and society. It is dedicated to furthering knowledge in the application of information technologies to human organizations and their management and, more broadly, to improving ...
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Information Systems Journal Call for Papers Special Issue: Frontiers in Digital Transformation Research ... information systems research from the study of ICT and societal challenges. MIS Quarterly ... (2010). Computing in everyday life: A call for research on experiential computing. MIS quarterly, 34(2), 213-231. Zimmer, M. P., Baiyere, A ...
Call For Papers Abstract submission deadline: Monday, May 16, 2022 01:00 PM PDT Full paper submission and co-author registration deadline: Thursday, May 19, 2022 01:00 PM PDT Supplementary materials submission deadline: Thursday, May 26, 2022 01:00 PM PDT Author notification: Wednesday, September 14, 2022 Camera-ready, poster, and video submission: Wednesday, October 12, 2022 01:00 PM PDT
The calls for papers page provides information to the global information systems community about relevant upcoming conferences and their paper submission requirements, calls for papers for special issues of journals, and calls for books and chapters. If you would like to submit a call or browse posted information, please click here.
Special Issue: Advances in Enterprise Information Systems. Information Systems Frontiers is a high-ranking research journal in the area of management information systems.Information Systems Frontiers will publish a special issue dedicated to the topic of "Advances i... Submission status. Closed.
Information Systems Frontiers examines the interface of information systems and information technology from analytical, behavioral, and technological perspectives. Provides a common forum for industrial developments and pioneering academic research. Draws from fields such as computer science, telecommunications, operations research, economics ...
Marabelli and Newell (2023), in a recent JSIS opinion paper, fleshed out several strategic opportunities and challenges of the future of on-line interactions, focusing on DEI (diversity, equity and inclusion) issues, and on the metaverse. In this call for papers, we seek manuscripts that explore the future of work with respect to immersive ...
This page lists all Calls for Papers for Journal of Information Technology. To view further details, including article guidelines and instructions on how to submit, please click on the special issue title. - "Regulation in the Age of Digitalization" : First round submission deadline: 31st January 2021. - "Emerging Technologies and IS Sourcing ...
Special Issues. Call for Papers: Digital Sustainability and Information Systems Research Submission Deadline October 2, 2024; Call for Papers: Managing the Individual, Organizational, and Societal Challenges of Generative AI: Utopian, Dystopian, Neutropian Perspectives Submission Deadline August 31, 2024; Call for Papers: Special Issue on Health Analytics and Theorizing Submission Deadline ...
Call for Papers for a Special Issue of the Journal of Information Technology on: "Next-Generation Information Systems Research Methods" ... Method for Information Systems Research", Journal of Information Technology (11:3), pp. 235-246. Behfar, K., and Okhuysen, G. A. 2018. "Perspective—Discovery within Validation Logic:
Information Systems Journal: Special Issue Call for Papers Information Systems in and for Practice Special Issue Guest Editors Robert M Davison, City University of Hong Kong Marco Marabelli, Bentley University Yenni Tim, University of New South Wales The Information Systems (IS) discipline traces its origins to issues that were of interest to
Ravi Bapna, Martin Bichler, Bob Day, Wolfgang Ketter (2019) Call for Papers—Special Issue of Information Systems Research—Market Design and Analytics. Information Systems Research 29(4):1067-1068.
Systematic analyses of existing systems on novel datasets yielding important new insight. Read our original blog post for more about why we started this track. Important dates. Abstract submission deadline: May 29, 2024; Full paper submission and co-author registration deadline: Jun 5, 2024; Supplementary materials submission deadline: Jun 12, 2024
The Neural Information Processing Systems Foundation is a non-profit corporation whose purpose is to foster the exchange of research advances in Artificial Intelligence and Machine Learning, principally by hosting an annual interdisciplinary academic conference with the highest ethical standards for a diverse and inclusive community.
Recommender Systems (RS) play an integral role in enhancing user experiences by providing personalized item suggestions. This survey reviews the progress in RS inclusively from 2017 to 2024, effectively connecting theoretical advances with practical applications. We explore the development from traditional RS techniques like content-based and collaborative filtering to advanced methods ...
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 ...
Call for Submissions. Special Issue Calls. Call for Submissions. Transactions of the Institute of Measurement and Control is a fully peer-reviewed international journal. The journal covers all areas of applications in instrumentation and control. Its scope encompasses cutting-edge research and development, education and industrial applications.
Follow journal. Information Systems Journal has a long and distinguished tradition of publishing special issues. These date back to the earliest volumes of the journal in the 1990s and to date cover 31 different topics, including eGovernment, critical theory, digital business models, the dark side of IS, power and IS, open systems, and social ...
Multimodal recommendation systems (MMRS) have received considerable attention from the research community due to their ability to jointly utilize information from user behavior and product images and text. Previous research has two main issues. First, many long-tail items in recommendation systems have limited interaction data, making it difficult to learn comprehensive and informative ...
Call for papers. 15 July 2024. Special Issue on New Frontiers in Diagnosis & Prognosis: Basic & Clinical Research • The human body whispers secrets of health and disease through its fluids. This special issue explores the exciting new frontiers in disease diagnosis and prognosis by harnessing the power of body fluids, such as urine, serum ...
This special issue aims at developing advanced information technologies for intelligent networking and collaborative systems. These technologies can lead to the creation of responsive environments ...
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