MIS 402 Business Systems Design and Prototyping

Course syllabus for MIS 402 Business Systems Design and Prototyping Course description: Introduction to systems design and application prototyping presents several methods for extracting, presenting, and refining a business users needs by building a working model with the help of software tools. Includes the basic concepts of structured design, specification languages, and systems implementation. Emphasis will be on business systems development using CASE tools

MIS 401 Application Prototyping and Business Systems Development

Course syllabus for MIS 401A Application Prototyping and Business Systems Development Course description: Introduction to systems prototyping, a method for extracting, presenting, and refining a business user\u27s needs by building a working model with the help of software tools, includes the basic concepts of structured analysis and design, specification languages, and systems implementation. Emphasis will be on business systems development using CASE tools

Product service systems in the automotive industry: An alternative business model for a sustainable satisfaction system

Copyright @ 2008 Brunel UniversityThe paper presents the intermediate results of an on-going research project called Vehicle Design Summit (VDS), run by an international Consortium of Universities coordinated by the MIT of Boston. The project aims at designing and prototyping an eco-efficient vehicle as well as defining an innovative and sustainable business model to introduce and diffuse it into the mobility sector. In this framework the paper explores the potential contribution that PSSs can have in moving beyond incremental technological improvements towards system innovation in the automotive industry. This is outlined presenting and discussing an alternative business model, characterized by: an approach to mobility as the scope of design; an innovative stakeholders network; a shift from selling products to selling results; a change in product ownership; and a consequent change in vehicle design

Designing new business models: blue sky thinking and testing

© 2016, © Emerald Group Publishing Limited. Purpose: In what is going to be an uncertain and rapidly evolving global economic landscape, it is clear that firms will have to become more adaptive and responsive to changes within their marketplace. To do this, businesses will not only need to engage in business model experimentation but also look to embrace business model innovation as a core competency and a means for sustained competitive advantage. Design/methodology/approach: This paper outlines how a design process of experimenting and prototyping can apply to the design of business models through the case study of hypothetical luggage company Packright. Findings: Five meta-models with differing foci are illustrated as an accessible and provoking framework that provides a new logic to classifying, experimenting and prototyping business model designs. Practical implications: These five meta-models provide a tangible starting point from which a business can begin to explore different perspectives and gain insights into the internal and external capabilities of their company. Originality/value: This paper builds upon the emerging research and exploration into the importance and relevance of dynamic, design-driven approaches to the creation of innovative business models

Simulating Online Business Models

The online content market for news and music is changing rapidly with the spread of technology and innovative business models (e.g. the online delivery of music, specialised subscription news services). It is correspondingly hard for suppliers of online content to anticipate developments and the effects of their businesses. The paper describes a prototype multiagent simulation to model possible scenarios in this market. The simulation is intended for use by business strategists and has been developed using a participatory, rapid prototyping methodology. The implications of the method and the characteristics of the domain for the design are considered.agent-based modelling, market simulation

Rethinking the prototyping process for applying design thinking to business model innovation

This research proposes a prototyping perspective in design for business model innovation to facilitate disruption. The value of design-led approach for managing innovation has been recognised under the concept of ‘design thinking’. In the research on innovation, the concept of business model innovation has been discussed as business models started to be acknowledged as a key aspect of managing innovation. Although experimentation for business model innovation is argued to be of importance, how to apply prototyping of design thinking to business model innovation has been limitedly theorised. This research is based on a literature review to articulate theoretically the concept of prototyping in business model innovation. Through the literature review, this research identifies four key dimensions of prototyping in business model innovation: purpose, process, context and engagement. This paper focuses on the Process dimension to interrogate the existing argument

Prototyping in Business Model Innovation: Exploring the Role of Design Thinking in Business Model Development

This study proposes a theoretical framework for business model prototyping (BMP), one in which design thinking is applied as a means of facilitating business model innovation (BMI). The value of design-led approaches in the development/management of innovation have received increasing recognition in the past decade, as the concept of design thinking (e.g., Brown, 2008; Martin, 2009) has gained broader application and credibility. In parallel, the concept of BMI has been discussed increasingly in research on innovation, as business models have garnered enhanced acknowledgement as a fundamental aspect in innovation management (Schneider & Spieth, 2013). Although experimentation for BMI is argued to be of importance (e.g., Chesbrough, 2010), the ways in which design thinking might inform prototyping of BMI is less articulated. Thus, the research provides a framework for prototyping business models in the process of BMI, and a first theoretical foundation for the subject. The framework is developed by combination of insights from a thoroughgoing literature review with expert interviews, multiple institution-level case studies, and a series of validation interviews. The literature review articulates the concept of prototyping in BMI and covers three topics in-depth: innovation, business models and design thinking. Expert interviews capture the perceptions and orientations of practitioners, and case studies explore various contexts of business model development in social enterprise, university division, governmental organisation and private company. The validation interviews use feedback from industrial experts to aid and revise the framework and combining theoretical and practical perspectives. On the basis of integrated findings, the thesis contributes to knowledge in three ways. First, it aims to bridge design methodology research and innovation management 3 research by articulating prototyping in design with business model innovation. Second, it proposes a theoretical framework for business model prototyping that incorporates four dimensions — purpose, process, context and engagement. This framework provides a theoretical foundation for further research in the area. Third, the thesis reframes prototyping not as a method or a tool but as a methodology (i.e., a conceptual framework and mode of thinking) that supports the management of business model development and innovation

What influences the speed of prototyping? An empirical investigation of twenty software startups

It is essential for startups to quickly experiment business ideas by building tangible prototypes and collecting user feedback on them. As prototyping is an inevitable part of learning for early stage software startups, how fast startups can learn depends on how fast they can prototype. Despite of the importance, there is a lack of research about prototyping in software startups. In this study, we aimed at understanding what are factors influencing different types of prototyping activities. We conducted a multiple case study on twenty European software startups. The results are two folds, firstly we propose a prototype-centric learning model in early stage software startups. Secondly, we identify factors occur as barriers but also facilitators for prototyping in early stage software startups. The factors are grouped into (1) artifacts, (2) team competence, (3) collaboration, (4) customer and (5) process dimensions. To speed up a startups progress at the early stage, it is important to incorporate the learning objective into a well-defined collaborative approach of prototypingComment: This is the author's version of the work. Copyright owner's version can be accessed at doi.org/10.1007/978-3-319-57633-6_2, XP2017, Cologne, German

Using Counts as Heuristics for the Analysis of Static Models

The upstream activities of software development are often viewed as both the most important, in terms of cost, and the yet the least understood, and most problematic, particularly in terms of satisfying customer requirements. Business process modelling is one solution that is being increasingly used in conjunction with traditional software development, often feeding in to requirements and analysis activities. In addition, research in Systems Engineering for Business Process Change, highlights the importance of modelling business processes in evolving and maintaining the legacy systems that support those processes. However, the major use of business process modelling, is to attempt to restructure the business process, in order to improve some given aspect, e.g., cost or time. This restructuring may be seen either as separate activity or as a pre-cursor to the development of systems to support the new or improved process. Hence, the analysis of these business models is vital to the improvement of the process, and as a consequence to the development of supporting software systems. Supporting this analysis is the focus of this paper. Business processes are typically described with static (diagrammatic) models. This paper proposes the use of measures (counts) to aid analysis and comparison of these static process descriptions. The proposition is illustrated by showing how measures can be applied to a commonly used process-modelling notation, Role Activity Diagrams (RADs). Heuristics for RADs are described and measures suggested which support those heuristics. An example process is used to show how a coupling measure can be used to highlight features in RADs useful to the process modeller. To fully illustrate the proposition the paper describes and applies a framework for the theoretical validation of the coupling measure. An empirical evaluation follows. This is illustrated by two case studies; the first based on the bidding process of a large telecommunications systems supplier, and the second a study of ten prototyping processes across a number of organisations. These studies found that roles of the same type exhibited similar levels of coupling across processes. Where roles did not adhere to tentative threshold values, further investigation revealed unusual circumstances or hidden behaviour. Notably, study of the prototyping roles, which exhibited the greatest variation in coupling, found that coupling was highly correlated with the size of the development team. This suggests that prototyping in large projects had a different process to that for small projects, using more mechanisms for communication. Hence, the empirical studies support the view that counts (measures) may be useful in the analysis of static process models