FORMATIVE EVALUATION OF BUSINESS MODEL REPRESENTATIONS - THE SERVICE BUSINESS MODEL CANVAS

Drivers like global competition, advances in technology, and new attractive market opportunities foster a process of servitization and thus the search for innovative service business models. To facilitate this process, different methods and tools for the development of new business models have emerged. Nevertheless, business model approaches are missing that enable the representation of co-creation as one of the most important service-characteristics. Rooted in a cumulative research design that seeks to advance extant business model representations, this goal is to be closed by the Service Business Model Canvas (SBMC). This contribution comprises the application of thinking-aloud protocols for the formative evaluation of the SBMC. With help of industry experts and academics with experience in the service sector and business models, the usability is tested and implications for its further development derived. Furthermore, this study provides empirically based insights for the design of service business model representation that can facilitate the development of future business models

Formative Evaluation of Data-Driven Business Models – The Data Insight Generator

New technological developments such as Big Data or, the Internet of Things lead to exponentially increasing amounts of data created and stored by organizations. As a consequence, new data-driven business models (DDBMs) appear. These business models have special characteristics which need to be included in the business model development process. Thus, different methods and tools have emerged to support the development of DDBMs. One of these is the Data Insight Generator (DIG) which seeks to combine the key resource and value proposition of a DDBM. This paper comprises the application of the thinking-aloud method for a formative evaluation of the DIG. The contribution of this paper is twofold. First, the usability of the DIG is tested and implications for further development are derived. Second, the paper provides empirically-based insights into development of DDBM that facilitate the future development of such business models

Metamodels for Representing Service Business Models

Service is a key business for a growing amount of companies. Especially in highly competitive markets, companies can secure their revenue generation and turnover through services. The ongoing change in present companies is associated with the change of existing and emergence of new business models. Especially the co-creation, as a key characteristic of services, and its impact on the business logic should be represented in the business model in a comprehensive way. This paper contributes to this field of research by assessing proposed business model extensions for services to evaluate the state of the art in representing service business models. For this reason the state of the art was considered and examined by defining comparison criteria and analyzing different approaches

Comparison of Health and Wellbeing Living Lab Business Models : Preliminary result based on Business Model Canvas Evaluation

The most popular thematic focus area among ENoLL members is the health and wellbeing, which covers nearly a half of all the certified Living Labs. However, the studies evaluating Living Lab (LL) business models in general and especially those focusing on health and wellbeing Living Labs are rare. Therefore, the aim of this study is to assess industry standard Business Model Canvas (BMC) usefulness to compare LL business models. The business models among 12 Baltic Sea Region Health and Wellbeing LLs were described and compared. After the recoding process, the original 241 different BMC attribute spellings were reduced to 87 different attributes. On the average 26.7 attributes were used to describe the LL business model. As an example, two network illustrations are presented to showcase the different Living Lab business models. As a result of the assessment, the need to develop LL specific business modelling tool based on fixed a set of valued attributes was recognized

Modeling Business Models: A cross-disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research

Modeling languages for business models are a powerful and flexible means of representing and communicating knowledge related to business models. More than fifteen years after Osterwalder et al. (2005) clarified the ontology for the business model concept in this journal, we offer a systematic and cross-disciplinary assessment of the literature on business model modeling languages (BMMLs) that facilitate the visualization of this concept. In so doing, we synthesize and organize the knowledge dispersed across different disciplines in which BMMLs have originated and highlight the potential weaknesses in this literature to offer solid insights for future research. Our analysis reveals the existence of 17 BMMLs that have originated in traditional domains such as strategy and information systems, but also emerging domains such as sustainability. We contrast and compare these BMMLs along three dimensions: semantics, syntax, and pragmatics. We also analyze research that has made use of these BMMLs, differentiating between research that is conducted with a given BMML and research that is conducted about a given BMML. We conclude by offering a research agenda in which we illustrate the main challenges associated with the lack of well-accepted semantic, syntactic, and pragmatic foundations of BMMLs and outline opportunities for future research

'License to VIT’ - A Design Taxonomy for Visual Inquiry Tools

Visual Inquiry Tools are valuable assets to work conjointly on an ill-structured or wicked problem and solve it creatively. With visual inquiry tools, designers can sketch the problem-space of an artifact-to-be-designed and generate solutions in a priori defined ontological elements. While there exists guidance in how visual inquiry tools should be designed content-wise, there is a lack of clarification on the design options available to design them. Subsequently, the paper proposes a taxonomy of visual inquiry tools outlining options for their design. We do this by incorporating a sample of 24 visual inquiry tools developed in the scientific literature corpus as well as 15 through empirical example

COMMUNICATING THE LANGUAGE OF BUSINESS TO NON-BUSINESS LEARNERS

Thesis (Ph.D.) - Indiana University, School of Education, 2020This study is situated in a course taught by the author who takes the position that non-business majors approach their learning differently from business majors. Many non-business majors carry concerns regarding not having prior accounting coursework, negative experiences or lack confidence in the domain of mathematics. Through personal reflection, student feedback, reading current literature and empirical findings, I have made additional adjustments to the course design, instructional strategies employed and/or weighting and type of assessments to achieve the stated outcomes of the course. The main research question for this study is as follows: How does using surface and deep instructional strategies relate to student scores when examined by a prior knowledge group (business vs. non-business)? This study utilizes the mixed methods approach with data gathered from the statement of student goals from the first week of the course, student assessment scores, a linear regression model in STATA and the course/instructor’s evaluations at the conclusion of the course. Analysis of the responses in my course indicate that students’ goals were primarily cognition (understanding). The results also indicate that business majors continue to perform better in a statistically significant way on polling response accuracy. Although not statistically significant, non-business majors had higher average mean scores for in-class activities. As was found in prior studies, the grade point average (GPA) had a significant effect on student performance in the course overall. As a result of this study, changes to lecture delivery and student reminders of activities have been incorporated into the course

Using Design Science Research to Develop a Framework for Effective Business Model Design

The ever-changing and increasingly complex business world makes new successful business models a key challenge for entrepreneurs. Accordingly, business model design is an essential task for startups to explore, define and communicate new business opportunities. Simultaneously, there has been insufficient knowledge, either in theory or in practice, on how to realize an effective business model design process. Therefore, this dissertation\u27s approach was to develop a framework with the support of which startups can effectively design their business model. For this purpose, the thesis identified content and process steps necessary for an effective business model design. Furthermore, based on a literature review, the business model concept, as well as the basic steps of an effective process for designing a business model, were defined. Furthermore, through the analysis of existing frameworks and the examination of entrepreneurial practice in the context of a quantitative survey, insights were gained into how startups currently design their business models, and for which reasons the existing frameworks have so far been assessed as not effective enough. Methodologically, the work was guided by a design science research approach. In all steps of this work, the Design Science research framework and guidelines found on the principle that new knowledge and understanding are derived from the design, application, and evaluation of an artifact, were strictly followed. Based on the theoretical findings of the literature and the study\u27s practical insights, the requirements for the design of the framework were derived. Its initial design was developed with the help of a group of experts. It was then tested in two iterative evaluation cycles with 42 startups in seven multi-day workshops in different accelerator programs. After each application, the framework was evaluated through interviews and questionnaires and adapted based on the lessons learned. This iteration was conducted until the previously defined requirements for the artifact were fully met. Within the work scope, it was thus possible to develop an artifact that contains significant structural and content-related enhancements com-pared to existing approaches to business model design. The developed framework can sup-port startups, regardless of their development stage and economic background, in effectively designing their business model