Scandinavian Journal of Information Systems

Special issue call for papers:

Rejuvenating Enterprise Systems

Guest Editors

Ahmed Elragal, Luleå University of Technology, Luleå, Sweden Moutaz Haddara, Kristiania University College, Oslo, Norway Eli Hustad, University of Agder, Kristiansand, Norway

SI Plan

Submission deadline: December 31st, 2018
Guest editors’ constructive rejection: February 1
st, 2019 First review completed: March 1st, 2019
Revised manuscript due: May 15
th, 2019
Second review completed: June 30
th, 2019
Revised manuscript due: August 31, 2019
Publication date: December 2019

Submission Guidelines

Article submissions for this special issue should follow the submission format and guidelines of the Scandinavian Journal of Information Systems. All papers will be peer-reviewed based on the journal’s review procedures. Authors must indicate in the cover letter that the paper is aimed for the Rejuvenating Enterprise Systems special issue to ensure that the submission will be handled by the right editors.

Review Strategy

A constructive rejection approach will be applied prior to the review process. All submissions will be initially screened by all guest editors as soon as the submission deadline passes. The authors whose articles fail to meet the journal’s standards or specific requirements will be notified soon after the submission deadline. The papers that pass the initial screening and that may be accepted for publication subject to certain conditions, will undergo a rigorous review process according to the publication plan. Authors of articles that are expected to be accepted, will be offered an opportunity to revise and resubmit their papers within a specified period. At least two independent reviewers shall review the submitted manuscripts based on their originality, quality, and relevance to this special issue’s theme.

Idea in Brief

In this special issue, the guest editors seek a diverse collection of articles that address the future of enterprise systems.
Enterprise systems have existed for decades, and the majority of large organizations worldwide have implemented their enterprise systems (Gattiker & Goodhue, 2005). However, fluctuating levels of success have been reported over the years (Hustad & Olsen, 2014; Svejvig & Jensen, 2013). Companies of all sizes have become increasingly dependent on enterprise systems to integrate their various business functions,
manage their operational and routine transactions, comply with regulations, manage their global supply chains, and benefit from the systems’ timely reporting capabilities (Haddara & Zach, 2011). Generally, enterprise systems’ implementations are resource intensive and require considerable financial investments. Their adoptions also result in widespread organizational changes (Volkoff, Strong, & Elmes, 2007). Despite enterprise systems’ demanding and risky implementation efforts, their substantial business value is recognized (Tian & Xu, 2015).

The ex post literature is rich and diverse; however, an apparent gap in enterprise systems’ future relates to emerging technologies (Elragal & Haddara, 2012). Thus, there is a need to investigate how emerging technologies can shape the future of such systems.

Currently, the characteristics of enterprise systems have radically changed. Businesses require agility and flexibility. Therefore, among others, enterprise resource planning (ERP) systems should respond to such dynamic needs of today’s businesses. New sourcing models for enterprise systems have recently been offered, and cloud sourcing has become a popular approach for small- and medium-sized enterprises (SMEs) in particular (El-Gazzar, Hustad, & Olsen, 2016). Moreover, new applications have been integrated with enterprise systems, forming the so-called hybrid systems. Such a hybrid system also incorporates systems from multiple vendors, as well as integrates data from on-premises with those on the cloud (Loebbecke, Thomas, & Ullrich, 2012). Enterprises also seek to utilize enterprise systems in more intelligent ways by analyzing their transaction data to support decision making on both strategic and tactical levels. Future enterprise systems are expected to support digital transformation to a greater extent.

We strongly believe that five areas are reshaping the future of enterprise systems. Therefore, such systems need rejuvenation to sustain their well-established presence in organizations.
These areas are as follows:

  • Area 1. Cloud computing
  • Area 2. Gamification
  • Area 3. Blockchain technology
  • Area 4. Big data analytics
  • Area 5. Digitalization
Scope and Focus of the Special Issue

Topics of interest include but are not limited to the following:

Area 1. Enterprise systems and cloud computing

  • -  Which enterprise system modules can move to the cloud, and which modules should stay on-


  • -  How can enterprises obtain sustainable business if they decide to discontinue their cloud


  • -  How can data privacy and security for cloud-based enterprise systems be maintained?

  • -  How can cloud-based enterprise systems deal with the data mobility required for efficient business processes?

  • -  How does standardization affect the investment on cloud-based enterprise systems? (For example, customers of an ERP system in the cloud need to continue using the standard version of the system; customization opportunities are quite limited).

  • -  What are the differences between SMEs and large businesses regarding challenges in utilizing cloud-based enterprise systems?

Area 2. Gamification

  • -  Benefits that gamification offers to enterprise systems across their lifecycle

  • -  Enterprise system lifecycle phases and the corresponding benefits of gamification

  • -  Approaches, techniques, methods and strategies to gamify ES lifecycle phases and their impact

Area 3. Blockchain Technology

    • -  The potentials of blockchain technology for enterprise systems

    • -  Blockchain integration with enterprise systems

    • -  Deploying blockchain technology in enterprise systems’ implementation

    • -  The impact of blockchain technology on the governance of the information stored in enterprise systems

    • Area 4. Big data analytics

      -  Utilizing big data analytics to develop a comprehensive view of the different master data
      • management elements (e.g., customers, products)

      • -  Big data impact on enterprise systems’ lifecycle frameworks (e.g., selection phase)

      • -  The potentials of big data to extend the traditional enterprise systems’ functionalities and


      • -  The potentials of big data to enhance processes, operations, supply chains, and routine decision


      • -  The analytical capabilities (e.g., process mining) that could extend enterprise systems’


      • Area 5. Digitalization

      • -  Digitalization as an enabler to force enterprise systems to be more open, agile, and hybrid

      • -  Enterprise systems require changes to facilitate digital transformation. What are these required

        changes, and what new features and functionalities do we expect from future enterprise


      • -  How can enterprise systems support automation of work processes through software

        robotizing? How will robotizing affect knowledge workers?

Call for Contributions

In this special issue, we seek to attract researchers’ works that present novel approaches to inquiries into technical, operational, economic, and social impacts of emerging technologies with regard to their connection to and impact on enterprise systems. The special issue is open to all types of research methodologies and especially encourages a diversity of theoretical and empirical approaches.

Basically, we are looking for theoretically well-defined research problems that are relevant to the topics intertwined in this special issue, with the objective to advance theories and methods or open the door for future knowledge to unfold. Accordingly, we differentiate between informative, theoretical and practical research problems, welcoming both scholarly pieces and studies with concrete applications. As a result, we expect the papers to demonstrate academic value and illustrate how the research contributes to businesses and society in general.

Editorial Board

  • -  Asle Fagerstrøm, Westerdals- Oslo School of Arts, Communication and Technology, Norway

  • -  Ahmed Ghazawneh, IT University of Copenhagen, Denmark

  • -  Dag Olsen, University of Agder, Norway

  • -  Henk Akkermans, Tilburg University, Netherlands

  • -  Jalal Ahayeri, Tilburg University, Netherlands

  • -  Kari Smolander, Aalto University, Finland

  • -  Knut Rolland, University of Oslo, Norway

  • -  Jose Esteves, IE Business School, Spain

  • -  Joao Varajao, University of Minho, Portugal

  • -  Maya Daneva, University of Twente, Netherlands

  • -  Maria Manuela Cruz-Cunha, Polytechnic Institute of Cávado and Ave, Portugal

  • -  Ravi Vatrapu, Copenhagen Business School, Denmark

  • -  Tom Roar Eikebrokk, University of Agder, Norway

  • -  Victor Borohquez, University of Lima, Peru


    El-Gazzar, R., Hustad, E., & Olsen, D. H. (2016). Understanding Cloud Computing Adoption Issues: A Delphi Study Approach. Journal of Systems and Software, 118, 64-84.

    Elragal, A., & Haddara, M. (2012). The Future of Erp Systems: Look Backward before Moving Forward. Procedia Technology, 5, 21-30.

    Gattiker, T. F., & Goodhue, D. L. (2005). What Happens after Erp Implementation: Understanding the Impact of Inter-Dependence and Differentiation on Plant-Level Outcomes. MIS Quarterly, 29(3), 559-585.

    Haddara, M., & Zach, O. (2011). Erp Systems in Smes: A Literature Review. Paper presented at the 44 th Hawaii International Conference on System Sciences.

Hustad, E., & Olsen, D. H. (2014). Erp Implementation in an Sme: A Failure Case Information Systems for Small and Medium-Sized Enterprises (pp. 213-228): Springer.

Loebbecke, C., Thomas, B., & Ullrich, T. (2012). Assessing Cloud Readiness at Continental Ag. MIS Quarterly Executive, 11(1), 11-23.

Svejvig, P., & Jensen, T. B. (2013). Making Sense of Enterprise Systems in Institutions: A Case Study of the Re-Implementation of an Accounting System. Scandinavian J. Inf. Systems, 25(1), 1.

Tian, F., & Xu, S. X. (2015). How Do Enterprise Resource Planning Systems Affect Firm Risk? Post- Implementation Impact. MIS Quarterly, 39(1), 39-60.

Volkoff, O., Strong, D., & Elmes, M. (2007). Technological Embeddedness and Organizational Change. Organization Science, 18(5), 832-848.