Towards an Architecture for Data Monetization as a Service

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Ofulue, Joan; Benyoucef, Morad

Abstract: Data monetization as a service (DMaaS) is a new term in both academia and pract ... Expand

Abstract: Data monetization as a service (DMaaS) is a new term in both academia and practice. DMaaS seeks to marry data monetization with servitization and has become important with the advent of technologies such as big data, cloud computing and blockchain. As organizations seek to stand up infrastructure for data monetization, an architecture for DMaaS provides them with a starting point to develop data monetization platforms. This is an area that has been largely unexplored. Therefore, in this paper we leverage the service dominant logic perspective and research on data related services architecture to develop a tentative design for DMaaS. This study is among the first that explore architecture for DMaaS, thus identifying platform layers and services as a base for further architecture development and refinement. Collapse

Topics: big data cloud computing business-to-business database system database as a service

Methods: structured literature research qualitative interview literature study design process design requirement

Theories: service-dominant logic

"Agile Meets Non-Agile": Implications of Adopting Agile Practices at Enterprises

2018 | Americas Conference on Information Systems | Citations: 0

Authors: Gerster, Daniel; Dremel, Christian; Kelker, Prashant

Abstract: The question of how to increase speed and flexibility in times of digital disrup ... Expand

Abstract: The question of how to increase speed and flexibility in times of digital disruption is essential to virtually any company. While previous research focuses on agility as software development practice or as form for organizing start-ups, little knowledge exists about agility at enterprises and its implications. Agile practices are currently adopted at enterprises in large-scale. While first steps towards agility are made quickly, we observed that specific challenges emerge when enterprises adopt agile practices. Drawing on results of an explorative study with ten global companies and on socio-technical systems theory, we reveal that adopting agile practices has far-reaching implications on products, processes, technology, people, and structure. This study contributes to agility research with specific insights on enterprise agility and its implications. While enterprises need to increase speed and flexibility to master digital transformation, an early incorporation of the implications of adopting agile practices fosters its sustainable implementation. Collapse

Topics: agile software development autonomous driving system database system identity management platform as a service

Methods: multiple case study qualitative interview case study triangulation cluster analysis

Theories: sociotechnical systems theory

Dynamic Service Level Agreement Management for Efficient Operation of Elastic Information Systems

2011 | International Conference on Information Systems | Citations: 1

Authors: Hedwig, Markus; Malkowski, Simon; Neumann, Dirk

Abstract: The growing awareness that effective Information Systems (IS), which contribute ... Expand

Abstract: The growing awareness that effective Information Systems (IS), which contribute to sustainable business processes, secure a long-lasting competitive advantage has increasingly focused corporate transformation efforts on the efficient usage of Information Technology (IT). In this context, we provide a new perspective on the management of enterprise information systems and introduce a novel framework that harmonizes economic and operational goals. Concretely, we target elastic n-tier applications with dynamic on-demand cloud resource provisioning. We design and implement a novel integrated management model for information systems that induces economic influence factors into the operation strategy to adapt the performance goals of an enterprise information system dynamically (i.e., online at runtime). Our framework forecasts future user behavior based on historic data, analyzes the impact of workload on system performance based on a non-linear performance model, analyzes the economic impact of different provisioning strategies, and derives an optimal operation strategy. The evaluation of our prototype, based on a real production system workload trace, is carried out in a custom test infrastructure (i.e., cloud testbed, n-tier benchmark application, distributed monitors, and control framework), which allows us to evaluate our approach in depth, in terms of efficiency along the entire SLA lifetime. Based on our thorough evaluation, we are able to make concise recommendations on how to use our framework effectively in further research and practice. Collapse

Topics: cloud computing enterprise information system IT productivity infrastructure as a service database system

Methods: literature study computational algorithm optimization model design artifact economic model