Executing a Real-Time Response in an Agile Information System

Agile information systems (AIS) is a current topic of interest in the IS industry. An AIS is defined as one that has ability to sense a change in real time, diagnose it in real time, and select and execute an action in real time. This study focuses on the properties or attributes of an AIS to execute an action in real time. The properties outlined in this research enable an AIS to select a response in real time and then execute a response in real time. The attributes are derived using industry literature, refined using interviews with industry practitioners and then verified for importance using a survey. From the exercise it is concluded that most properties or attributes are important for real-time execution in an AIS. Dimensions underlying these attributes are identified using EFA. Some recent frameworks and paradigms related to IS configurations that can respond to changes in real time are discussed. These frameworks incorporate many of the properties that were arrived for executing a change in real time in an agile IS and hence provide additional validation for the research.

[1]  Peter Weill,et al.  The Implications of Information Technology Infrastructure for Business Process Redesign , 1999, MIS Q..

[2]  Herwig Winkler,et al.  Evaluating flexibility in discrete manufacturing based on performance and efficiency , 2014 .

[3]  Christina Wodtke,et al.  Information Architecture , 2002 .

[4]  Denis Royston Towill,et al.  Total cycle time compression and the agile supply chain , 1999 .

[5]  Sammy W. Pearson,et al.  Development of a Tool for Measuring and Analyzing Computer User Satisfaction , 1983 .

[6]  Weicheng Huang,et al.  Building a Virtual HPC Cluster with Auto Scaling by the Docker , 2015, ArXiv.

[7]  Zhongsheng Hua,et al.  The Impact of IT Capabilities on Firm Performance: The Mediating Roles of Absorptive Capacity and Supply Chain Agility , 2013, Decis. Support Syst..

[8]  Nijaz Bajgoric,et al.  Web‐based information access for agile management , 2000 .

[9]  Michael L. Tushman,et al.  Information Processing as an Integrating Concept in Organizational Design. , 1978 .

[10]  C. Isci,et al.  Delivering software with agility and quality in a cloud environment , 2016, IBM J. Res. Dev..

[11]  Raouf Boutaba,et al.  Network virtualization: state of the art and research challenges , 2009, IEEE Communications Magazine.

[12]  Nan Zhang,et al.  Cost efficiency of SDN in LTE-based mobile networks: Case Finland , 2015, 2015 International Conference and Workshops on Networked Systems (NetSys).

[13]  M. Christopher.  The Agile Supply Chain : Competing in Volatile Markets , 2000 .

[14]  Blake Ives,et al.  The measurement of user information satisfaction , 1983, CACM.

[15]  Roch H. Glitho,et al.  An NFV and microservice based architecture for on-the-fly component provisioning in content delivery networks , 2017, 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC).

[16]  Randy H. Katz,et al.  A view of cloud computing , 2010, CACM.

[17]  Carlos Llopis-Albert,et al.  How information systems strategy moderates the relationship between business strategy and performance , 2015 .

[18]  Michael Le,et al.  Container and Microservice Driven Design for Cloud Infrastructure DevOps , 2016, 2016 IEEE International Conference on Cloud Engineering (IC2E).

[19]  Ravi Seethamraju,et al.  Influence of ERP systems on business process agility , 2013 .

[20]  Kyung Young Lee,et al.  Job performance through mobile enterprise systems: The role of organizational agility, location independence, and task characteristics , 2014, Inf. Manag..

[21]  Arkalgud Ramaprasad,et al.  Revisiting Agility to Conceptualize Information Systems Agility , 2009 .

[22]  Jay Bal,et al.  Virtual Teaming in the Agile Supply Chain , 1999 .

[23]  Mirjana Pejić Bach,et al.  Technology Acceptance Model for Business Intelligence Systems: Preliminary Research , 2016 .

[24]  Terry Anthony Byrd,et al.  Measuring the Flexibility of Information Technology Infrastructure: Exploratory Analysis of a Construct , 2000, J. Manag. Inf. Syst..

[25]  Mohamed Watfa,et al.  The Impact of Cloud Computing on Information Systems Agility , 2015, Australas. J. Inf. Syst..

[26]  Parag C. Pendharkar,et al.  A probabilistic model for predicting software development effort , 2003, IEEE Transactions on Software Engineering.

[27]  P. Ein-Dor,et al.  Organizational Context and the Success of Management Information Systems , 1978 .

[28]  Angappa Gunasekaran,et al.  A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry , 2014 .

[29]  John Edwards,et al.  Agile system design and build , 1998 .

[30]  Eileen M. Trauth,et al.  Critical Skills and Knowledge Requirements of IS Professionals: A Joint Academic/Industry Investigation , 1995, MIS Q..

[31]  清華大学.  SOSE 2005 : IEEE International Workshop on Service-Oriented System Engineering : proceedings : Beijing, China, 20-21 October 2005 , 2005 .

[32]  P. Weill,et al.  Building IT Infrastructure for Strategic Agility , 2002 .

[33]  Andrew C. Boynton,et al.  Achieving Dynamic Stability through Information Technology , 1993 .

[34]  Rajiv Ranjan,et al.  Cloud Computing: Methodology, Systems, and Applications , 2011 .

[35]  Hossein Sharifi,et al.  A methodology for achieving agility in manufacturing organisations : An introduction , 1999 .

[36]  Mark E. Nissen,et al.  Delineating Knowledge Flows for Enterprise Agility , 2005, Encyclopedia of Information Science and Technology.

[37]  Micki Hyde,et al.  Organizations and the Necessity of Computer Based Information Systems , 2003, AMCIS.

[38]  J. Barney.  Firm Resources and Sustained Competitive Advantage , 1991 .

[39]  Arkalgud Ramaprasad,et al.  Sensing Attributes of an Agile Information System , 2013 .

[40]  Andrew C. Boynton,et al.  Information Architecture: In Search of Efficient Flexibility , 1991, MIS Q..

[41]  James Brian Quinn,et al.  Managing Strategic Change , 1989 .

[42]  Indika Perera,et al.  Evaluating the impact of DevOps practice in Sri Lankan software development organizations , 2016, 2016 Sixteenth International Conference on Advances in ICT for Emerging Regions (ICTer).

[43]  ByrdTerry Anthony,et al.  Measuring the Flexibility of Information Technology Infrastructure , 2000 .

[44]  Mohsen Mohammadi,et al.  Comparison of supply chain process models based on service-oriented architecture , 2018 .

[45]  Stefanie Rinderle-Ma,et al.  Change patterns and change support features - Enhancing flexibility in process-aware information systems , 2008, Data Knowl. Eng..

[46]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[47]  Marijn Janssen,et al.  Exploring the Service-Oriented Enterprise: Drawing Lessons from a Case Study , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[48]  Gilbert A. Churchill.  A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[49]  Wilhelm Hasselbring,et al.  Microservice Architectures for Scalability, Agility and Reliability in E-Commerce , 2017, 2017 IEEE International Conference on Software Architecture Workshops (ICSAW).

[50]  J. Rockart,et al.  EIGHT IMPERATIVES FOR THE NEW IT ORGANIZATION , 1996 .

[51]  T. Bonoma.  Case Research in Marketing: Opportunities, Problems, and a Process , 1985 .

[52]  Anandhi S. Bharadwaj,et al.  A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation , 2000, MIS Q..

[53]  Stuart E. Madnick,et al.  Understanding the Dynamics of Service-Oriented Architecture Implementation , 2015, J. Manag. Inf. Syst..

[54]  Jie Yang,et al.  Supply chain agility: Securing performance for Chinese manufacturers , 2014 .

[55]  A. Gunasekaran,et al.  Agile manufacturing: The drivers, concepts and attributes , 1999 .

[56]  Remko I. van Hoek,et al.  The thesis of leagility revisited , 2000 .

[57]  K. Eisenhardt.  Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

[58]  Hervé Pingaud,et al.  Event-driven agility of interoperability during the Run-time of collaborative processes , 2014, Decis. Support Syst..

[59]  Kets de Vries,et al.  Organizational Stress: A Call for Management Action. , 1979 .

[60]  Kris Ven,et al.  Determinants of the Use of Knowledge Sources in the Adoption of Open Source Server Software , 2010, Int. J. Technol. Diffusion.

[61]  Yvonne Lederer Antonucci,et al.  Differences in Business Process Management Leadership and Deployment: Is There a Connection to Industry Affiliation? , 2013, Inf. Resour. Manag. J..