Call for Papers: Agile IT Service Practices for Data Centers

Special Issue Guest Editors:

Prof. Manuel Mora, Autonomous University of Aguascalientes, Mexico
Prof. Jorge Marx Gómez, University of Oldenburg, Germany
Dr. Raul Valverde, Concordia University, Canada
Prof. Fen Wang, Central Washington University, USA

Data Centers - On-Premises, Edge, Cloud or Hybrid types-, have become the ICT infrastructure backbone that permits the delivery of thousands of IT services every day in the modern business world (Patterson, 2008; Kant, 2009; Wu & Buyya, 2015; Marx-Gómez et al., 2017; Satyanarayanan, 2017; Senyo et al., 2018;  Hughes et al., 2021).  All types of organization sectors like finance, banking, telecom, transport, delivery, retail, e-commerce, healthcare, energy, education, military, manufacturing, news, and entertainment, as well governmental settings, with millions of organizations and end-users rely on IT services delivered from Data Centers (Knowledge Sourcing Intelligence LLP, 2020).

However, outages, breakdowns, and IT service incidents caused by IT management or IT engineering issues in Data Centers are frequently reported (Totaluptime, 2020; CRN, 2020). Consequently, to anticipate and cope with IT service disruptions, in the last decade, practically most of the large- and medium-sized global business corporations have implemented some of the several available plan-driven (i.e. rigor-oriented) IT Service Management (ITSM) frameworks and standards, such as ITIL v2011 (itSMF UK & Agutter, 2012), CMMI-SVC v1.3 (Software Engineering Institute, 2010), and the ISO/IEC 20000:2005 standard (ISO/IEC 2005a, 2005b, 2010), to manage the governing, planning, design, deployment, operation, and improvement of IT services (Mora et al., 2014; 2015). Multiple organizational benefits such as improvements in the service quality, customer satisfaction, reduction of IT downtime, IT staff morale, and financial contribution metrics have been also reported for the utilization of ITSM frameworks and standards (Marrone & Kolbe, 2011; Marrone et al., 2014).

Nowadays, the demand for business services agility supported by IT services has produced the recent emergence of agile, lightweight, and/or lean ITSM frameworks and standards (Lean IT Association, 2015; FitSM, 2016; Verlaine, 2017; Agutter et al., 2017; ISO/IEC/IEEE 2018a; 2018b; TSO, 2019; Galup et al., 2020; Mora et al., 2021).  However, given the novelty of these agile, lightweight, and/or lean ITSM frameworks and standards, and the scarcity of conceptual and empirical studies on them, there is a lack of informative references on the applicability, benefits, and limitations of using agile, lightweight, and lean ITSM frameworks and standards for the ITSM practitioners and scholars as well as a distinct knowledge gap for the global business organizations interested in the utilization of them for managing IT services with an agile approach. 

Consequently, this special issue pursues to advance rigorous and relevant scientific knowledge related to agile IT Services practices applied for IT services released in Data Centers – any type of On-Premises, Edge, Cloud or Hybrid-. This special issue aims to help IT Services designers to plan, analyze, design, assembly, deploy, operate, improve, and retire IT services delivered at Data Centers using agile practices.

Topics of interest for the special issue include but are not limited to the following ones:

  • Conceptual studies on the agile, lightweight, and/or lean IT service management and engineering practices
  • Conceptual comparative studies between rigor-oriented and agile, lightweight, and lean IT service management and engineering practices
  • Statistical survey studies on the implementation of the agile, lightweight, and/or lean IT service management and engineering practices
  • Case studies on the implementation of the agile, lightweight, and/or lean IT service management and engineering practices
  • Simulation studies – system dynamics, discrete event, agent-based or hybrid- on managerial features of the agile, lightweight, and/or lean IT service management and engineering practices
  • Design research studies on specific managerial features of the agile, lightweight, and/or lean IT service management and engineering practices
  • Experimental studies on specific managerial features of the agile, lightweight, and/or lean IT service management and engineering practices
  • Surveys of ICT tools and platforms for agile, lightweight, and/or lean IT service management and engineering practices
  • Studies on agile IT service managerial implications – economic impacts and costs, organizational benefits and risks, implementation facilitators and inhibitors – of the agile, lightweight, and/or lean IT service management and engineering practices

 Hence, due to the recent emergence of agile ITSM approaches and the high relevance of IT services released in Data Centers -any type-, and the strong pressure for business agility, we require high-quality research papers using any appropriate research method to study the problems related to the theme of this special issue, such as statistical survey, simulation, case study, experiments, design research, or conceptual study.

Important dates:   

Deadline for submissions: May 31, 2022

Initial editorial decision: July 31, 2022

Deadline for reviewed submissions: September 30, 2022

Final editorial decision: October 31, 2022

Deadline for camera-ready version: November 30, 2022

Publication date: 2023 year

Submission Guidelines:

Please consult the authors’ guidelines at  https://www.springer.com/journal/11227/submission-guidelines

Guest Editors Short Bios

Dr. Manuel Mora is a full-time Professor in the Information Systems Department at the Autonomous University of Aguascalientes (UAA), Mexico. Dr. Mora holds an M.Sc. in Computer Sciences (Artificial Intelligence area, 1989) from Monterrey Tech (ITESM), and an Eng.D. in Engineering (Systems Engineering area, 2003) from the National Autonomous University of Mexico (UNAM). He has published over 90 research papers in international top conferences, research books, and journals such as IEEE-TSMC, European Journal of Operational Research, Int. Journal of Information Management, Engineering Management, Int. J. of Information Technology and Decision Making, Information Technology for Development, Int. J. in Software Engineering and Knowledge Engineering, and Computer Standards & Interface. Dr. Mora is a senior member of ACM (since 2008), an SNI at Level II, and serves in the ERB of several international journals indexed by Emergent Source Citation Index focused on decision-making support systems (DMSS) and IT services systems.

Prof. Dr. Jorge Marx Gómez studied Computer Engineering and Industrial Engineering at the University of Applied Sciences Berlin (Technische Fachhochschule Berlin). He was a lecturer and researcher at the Otto-von-Guericke-Universität Magdeburg (Germany) where he also obtained a Ph.D. degree in Business Information Systems with the work Computer-based Approaches to Forecast Returns of Scrapped Products to Recycling. From 2002 till 2003 he was a visiting professor for Business Informatics at the Technical University of Clausthal (TU Clausthal, Germany). In 2004 he received his habilitation for the work Automated Environmental Reporting through Material Flow Networks at the Otto-von-Guericke-Universität Magdeburg. In 2005 he became a full professor and chair of Business Information Systems at the Carl von Ossietzky University Oldenburg (Germany). His research interests include Very Large Business Applications, Business Information Systems, Federated ERP-Systems, Business Intelligence, Data Warehousing, Interoperability, and Environmental Management Information Systems.

Dr. Raul Valverde is the Co-op academic director of the Supply Chain Management Operations and Business Technology Management programs. In this role, he provides academic and career advice and coaching to students that are part of this program. He is also a Senior Lecturer with Concordia University and the chair of the Business Technology Management Accreditation Council at Technician Canada. He is also an adjunct research professor at the Universite du Quebec en Outaouai. He holds a Doctorate in Business Administration from the University of Southern Queensland, a Post MBA in Management from McGill University, a  MSc in Accounting and Financial Management from the University of the West of England, a MSc in Supply Chain and Logistics Management from Camilo Jose Cela University, a MEng in Electrical Engineering from Concordia University, a certificate in Executive and Business Coaching from University  Isabel I, a MPsy from the Catholic University of Cuyo and a certificate in Computer Security from Stanford University. He has more than 20 years of professional experience in academic and career counseling, information technology, mathematical modeling, financial analysis, and programming. He is certified in Operations Research, certified counselor, certified in Neuroeconomics, certified project manager, certified in project accounting,  and ERPSim. He is also a professional engineer with the Professional Engineers of Ontario, a Chartered Member in Risk and Compliance from the Chartered Institute for Securities & Investment, and a member of the Canadian Psychological Association. Dr. Valverde's main research interests include Supply Chain Systems, Risk Management, IT Audit, Financial Systems, Project Management, Psychology and Information Technology, and Academic, Executive, and Business Coaching and Counselling.

Dr. Fen Wang is a Full Professor in the Information Technology & Administrative Management Department at Central Washington University (CWU). Before joining CWU, Prof. Wang was an Assistant Professor and Director of the Management Information Systems (MIS) program at the Eastern Nazarene College in Massachusetts. Prof. Wang holds a B.S. in MIS, an M.S., and a Ph.D. in Information Systems from the University of Maryland Baltimore County. Prof. Wang has brought over ten years of professional and research experience in information technology management to her students. Her research focuses on intelligent decision support technologies and E-business strategies. These efforts have resulted in contributions to the applied literature on information technologies that have been well-received in the research community. Prof. Wang has published over thirty papers in internationally-circulated journals and book series, including the International Journal of E-Business Research (IJEBR), International Journal of Decision Support System Technology (IJDSST), Intelligent Decision Technologies (IDT), Information Technology for Development (ITFD), and the Encyclopedia of E-Commerce, E-Government and Mobile Commerce.  Prof. Wang has also consulted for a variety of public and private organizations on IT management and applications.