scholarly journals MOBILITY BOX: A DESIGN RESEARCH METHODOLOGY TO EXAMINE PEOPLE'S NEEDS IN RELATION TO AUTONOMOUS VEHICLE DESIGNS AND MOBILITY BUSINESS MODEL

2020 ◽  
Vol 1 ◽  
pp. 1185-1194
Author(s):  
S. Wolff ◽  
J. Auernhammer ◽  
F. Schockenhoff ◽  
C. Angerer ◽  
M. Wittmann
Keyword(s):  
Business Model ◽  
Design Research ◽  
Autonomous Vehicle ◽  
Current Approach ◽  
Data Driven ◽  
User Needs ◽  
Automotive Sector ◽  
Wizard Of Oz ◽  
Vehicle Data ◽  
Design Research Methodology

AbstractThe future focus of research in the automotive sector will be on automation and data-driven technologies. These technologies provide new services and values to customers, owners and other stakeholders in mobility. We propose a wizard-of-oz like method to evaluate future user needs and redesign the current approach of vehicle development. The mobility box provides a modular and extendable framework to merge user centred design with vehicle data acquisition. This enables the design of services and properties for unknown mobility concepts.

scholarly journals BUSINESS MODEL INNOVATION FOR CIRCULAR ECONOMY: INTEGRATING LITERATURE AND PRACTICE INTO A PROCESS MODEL

2020 ◽  
Vol 1 ◽  
pp. 2119-2128
Author(s):  
M. P. P. Pieroni ◽  
T. C. McAloone ◽  
D. C. A. Pigosso
Keyword(s):  
Business Model ◽  
Circular Economy ◽  
Process Model ◽  
Business Models ◽  
Design Research ◽  
Business Model Innovation ◽  
New Business ◽  
Design Research Methodology ◽  
Practical Demonstration ◽  
New Business Models

AbstractTo implement circular economy, manufacturers will need to develop new business models. Available approaches are granular, generic, infrequently focusing on advice or implementation, and lacking practical demonstration. This article presents how a tool was proposed to cover these gaps. Based on design research methodology, twenty-two conceptual and practical requirements were identified and translated in functions for the development of the Circular Economy Business Model Configurator, a tool that supports manufacturers in strengthening proposals of business models for circular economy.

scholarly journals The Circular Business Framework for Building, Developing and Steering Businesses in the Circular Economy

2021 ◽  
Vol 13 (2) ◽  
pp. 963
Author(s):  
Julian Lauten-Weiss ◽  
Stephan Ramesohl
Keyword(s):  
Business Model ◽  
Circular Economy ◽  
Design Research ◽  
Economic Transition ◽  
Expert Interviews ◽  
Business Model Canvas ◽  
Innovative Tool ◽  
Design Research Methodology ◽  
In The Beginning ◽  
Business Framework

The need for a transition towards a circular economy (CE) is evident, as the current economic model is based on the exploitation of far more resources than the planet can replenish sustainably. A significant part of this economic transition is the inception of new, CE-oriented startups and business activities. While business model frameworks (BMF), such as the Business Model Canvas (BMC), were at the center of discussions about structuring business ideas in the beginning of the millennium, the conversation must now shift towards circular BMFs (CBMF). This paper follows the Design Research Methodology (DRM) for an empirical approach to devising a novel CBMF, including expert interviews as well as a first application of the framework with a startup. Throughout this process, a new and innovative tool called Circular Business Framework (CBF) was created and tested based on CE principles.

scholarly journals A DATA-DRIVEN APPROACH TO USER-EXPERIENCE-FOCUSED MODEL-BASED ROADMAPPING FOR NEW PRODUCT PLANNING

2021 ◽  
Vol 1 ◽  
pp. 61-70
Author(s):  
Ilia Iuskevich ◽  
Andreas-Makoto Hein ◽  
Kahina Amokrane-Ferka ◽  
Abdelkrim Doufene ◽  
Marija Jankovic
Keyword(s):  
New Product Development ◽  
User Experience ◽  
Planning Process ◽  
New Product ◽  
Data Driven ◽  
User Needs ◽  
User Testing ◽  
Model Based ◽  
Data Driven Approach ◽  
To Receive

AbstractUser experience (UX) focused business needs to survive and plan its new product development (NPD) activities in a highly turbulent environment. The latter is a function of volatile UX and technology trends, competition, unpredictable events, and user needs uncertainty. To address this problem, the concept of design roadmapping has been proposed in the literature. It was argued that tools built on the idea of design roadmapping have to be very flexible and data-driven (i.e., be able to receive feedback from users in an iterative manner). At the same time, a model-based approach to roadmapping has emerged, promising to achieve such flexibility. In this work, we propose to incorporate design roadmapping to model-based roadmapping and integrate it with various user testing approaches into a single tool to support a flexible data-driven NPD planning process.

scholarly journals Conceptualising value creation in data-driven services: The case of vehicle data

2021 ◽  
Vol 59 ◽  
pp. 102335
Author(s):  
Christian Kaiser ◽  
Alexander Stocker ◽  
Gianluigi Viscusi ◽  
Michael Fellmann ◽  
Alexander Richter
Keyword(s):  
Value Creation ◽  
Data Driven ◽  
Vehicle Data

scholarly journals Data-Driven Scenario Specification for AV–VRU Interactions at Urban Roundabouts

2021 ◽  
Vol 13 (15) ◽  
pp. 8281
Author(s):  
Andreas Keler ◽  
Patrick Malcolm ◽  
Georgios Grigoropoulos ◽  
Seyed Abdollah Hosseini ◽  
Heather Kaths ◽  
...  
Keyword(s):  
Autonomous Vehicle ◽  
Urban Traffic ◽  
Data Driven ◽  
Design Elements ◽  
Flow Simulations ◽  
Complex Interactions ◽  
3D Environments ◽  
Fictional Space ◽  
Motorized Vehicles ◽  
Simulator Test

Detailed specifications of urban traffic from different perspectives and scales are crucial for understanding and predicting traffic situations from the view of an autonomous vehicle (AV). We suggest a data-driven specification scheme for maneuvers at different design elements of the built infrastructure and focus on urban roundabouts in Germany. Based on real observations, we define classes of maneuvers, interactions and driving strategies for cyclists, pedestrians and motorized vehicles and define a matrix for merging different maneuvers, resulting in more complex interactions. The sequences of these interactions, which partially consist of explicit communications, are extracted from real observations and adapted into microscopic traffic flow simulations. The simulated maneuver sequences are then visualized in 3D environments and experienced by bicycle simulator test subjects. Using trajectory segments (in fictional space) from two conducted simulator studies, we relate the recorded movement patterns of test subjects with observed cyclists in reality.

What Can We Learn From Trustworthy Data? An Interview With John Wills Lloyd

2020 ◽  
pp. 105345122096310
Author(s):  
Kristin L. Sayeski
Keyword(s):  
Learning Disabilities ◽  
Best Practice ◽  
Design Research ◽  
Single Case ◽  
Professional Organizations ◽  
Professor Emeritus ◽  
University Of Virginia ◽  
Single Case Design ◽  
Design Research Methodology ◽  
The University

John Wills Lloyd is Professor Emeritus at the University of Virginia and co-editor of Exceptional Children. He earned his PhD from the University of Oregon and spent most of his career at the University of Virginia. Dr. Lloyd has been an integral part of many professional organizations, including the Council for Exceptional Children’s Division for Learning Disabilities, where he served as president and later as the executive director, and the Division for Research. Dr. Lloyd’s work has focused on the identification of effective instructional practices, best-practice in single-case design research methodology, and facilitating a deeper understanding of learning disabilities. He has produced numerous scholarly articles, foundational textbooks, and web-based materials that continue to inform readers about effective practice in special education.

Data-Driven Information Consumption

2019 ◽  
pp. 424-437
Author(s):  
Joseph McKendrick
Keyword(s):  
Digital Media ◽  
Business Model ◽  
News Media ◽  
Publishing Industry ◽  
Data Driven ◽  
News Content ◽  
Content Development ◽  
Media Organizations ◽  
Different Sources

Things are changing dramatically within the publishing industry. However, news media itself isn't on the wane, as many pundits are stating. In this chapter, the author explores how the business model for media organizations is shifting away from print, and away from the “gateway” approach to journalism and content development, in which a few select articles are presented to audience by editors, writers and reporters. In its place, the new digital media model is creating a plethora of content from many different sources, oftentimes first-hand accounts, original sources, or commentary. In the process, rather than resulting in a dearth of news content, audiences have access to an often dizzying, overwhelming and potentially contradictory content. This is creating potentially new roles for news and publishing organizations, serving as sources of validation and aggregation of content. At the same time, the rise of digital media is providing consumers a far wider range of choices pushing media organizations to provide content more tailored to their audiences.

Building an Analytics Culture to Boost a Data-Driven Entrepreneur's Business Model

2019 ◽  
pp. 260-291
Author(s):  
Soraya Sedkaoui ◽  
Mounia Khelfaoui
Keyword(s):  
Big Data ◽  
Small Business ◽  
Business Model ◽  
Business Process ◽  
Data Analytics ◽  
Data Driven ◽  
Business And Society ◽  
Crucial Importance

This chapter treats the movement that marks, affects, and transforms any part of business and society. It is about big data that is creating, and the value generating that companies, startups, and entrepreneurs have to derive through sophisticated methods and advanced tools. This chapter suggests that analytics can be of crucial importance for business and entrepreneurial practices if correctly aligned with business process needs and can also lead to significant improvement of their performance and quality of the decisions they make. So, the main purpose of this chapter are exploring why small business, entrepreneur, and startups have to use data analytics and how they can integrate, operationally, analytics methods to extract value and create new opportunities.

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