A literature review on the effectiveness and efficiency of business modeling
Journal Title: e-Informatica Software Engineering Journal - Year 2018, Vol 12, Issue 1
Abstract
Background: Achieving and maintaining a strategic competitive advantage through business and technology innovation via continually improving effectiveness and efficiency of the operations are the critical survival factors for software-intensive product development companies. These companies invest in business modeling and tool support for integrating business models into their product development, but remain uncertain, if such investments generate desired results. Aim: This study explores the effects of business modeling on effectiveness and efficiency for companies developing software-intensive products. Method: We conducted a Systematic Literature Review using the snowballing methodology, followed by thematic and narrative analysis. 57 papers were selected for analysis and synthesis, after screening 16320 papers from multiple research fields. Results: We analyzed the literature based on purpose, benefit, challenge, effectiveness, and efficiency with software and software-intensive products as the unit of analysis. The alignment between strategy and execution is the primary challenge, and we found no evidence that business modeling increases effectiveness and efficiency for a company. Any outcome variations may simply be a result of fluctuating contextual or environmental factors rather than the application of a specific business modeling method. Therefore, we argue that governance is the fundamental challenge needed for business modeling, as it must efficiently support simultaneous experimentation with products and business models while turning experiences into knowledge. Conclusion: We propose a conceptual governance model for exploring the effectiveness and efficiency of business modeling to occupy the missing link between business strategy, processes and software tools. We also recommend managers to introduce a systematic approach for experimentation and organizational learning, collaboration, and value co-creation.
Authors and Affiliations
Magnus Wilson, Krzysztof Wnuk, Johan Silvander, Tony Gorschek
Keywords
Related Articles
- EP ID EP382527
- DOI 10.5277/e-Inf180111
- Views 93
- Downloads 0
Experience Report: Towards Extending an OSEK-Compliant RTOS with Mixed Criticality Support
Background: With an increase of the number of features in a vehicle, the computational requirements also increase, and vehicles may contain up to 100 Electronic Control Units (ECUs) to accommodate these requirements. For...
A Systematic Mapping Study on Software Measurement Programs in SMEs
Context: Software measurement programs are essential to understand, evaluate, improve and predict the software processes, products and resources. However, successful implementation of software measurement programs (MPs)...
Applying Machine Learning to Software Fault Prediction
Introduction: Software engineering continuously suffers from inadequate software testing. The automated prediction of possibly faulty fragments of source code allows developers to focus development efforts on fault-prone...
Automatic SUMO to UML Translation
Existing ontologies are a valuable source of domain knowledge. This knowledge could be extracted and reused to create domain models. The extraction process can be aided by tools that enable browsing ontology, marking int...
Supporting Analogy-based Effort Estimation with the Use of Ontologies
The paper concerns effort estimation of software development projects, in particular, at the level of product delivery stages. It proposes a new approach to model project data to support expert-supervised analogy-based e...