Crowd-sourced Manipulation and Fraud Detection

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Simon Kloker
Keyword(s):  
Design Research ◽  
Innovation Process ◽  
Fraud Detection ◽  
Theory And Practice ◽  
Prediction Markets ◽  
Large Set ◽  
Organizational Boundaries ◽  
Digital Innovation ◽  
Detection Tool ◽  
Idea Management

Prediction markets are a common tool of companies for idea management and evaluation during the innovation process, which enables them to include expectations and opinions of stakeholders across organizational boundaries. However, prediction markets are also known for their susceptibility to manipulation in theory and practice. The irregular and multifaceted occurrence of these phenomena, with sometimes very creative strategies, makes it difficult to detect manipulation and fraud based on algorithms. To ensure robust and reliable forecasts, which are of utmost importance for a focused and successful digital innovation process, there is a need for a monitoring approach capable of dealing with these specific problems. In an Action Design Research project, we address this problem by developing a crowd-sourced manipulation and fraud detection tool. The artifact enables the crowd to successfully decompose the large set of trading data and successfully find even creative strategies without guidance. The artifact is implemented and evaluated in the field in the prediction market [blinded for review]. We conclude, that a crowd-sourced approach can be suggested to monitor ambiguous and rare events with a varying character in our context and presumably other contexts as well.

Towards an interdisciplinary knowledge exchange model

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Santiago DE FRANCISCO ◽  
Diego MAZO
Keyword(s):  
Design Research ◽  
Knowledge Exchange ◽  
Academic Research ◽  
Innovation Process ◽  
The United States ◽  
Design Environment ◽  
Interdisciplinary Knowledge ◽  
One Year ◽  
The University ◽  
Common Situation

Universities and corporates, in Europe and the United States, have come to a win-win relationship to accomplish goals that serve research and industry. However, this is not a common situation in Latin America. Knowledge exchange and the co-creation of new projects by applying academic research to solve company problems does not happen naturally.To bridge this gap, the Design School of Universidad de los Andes, together with Avianca, are exploring new formats to understand the knowledge transfer impact in an open innovation network aiming to create fluid channels between different stakeholders. The primary goal was to help Avianca to strengthen their innovation department by apply design methodologies. First, allowing design students to proposed novel solutions for the traveller experience. Then, engaging Avianca employees to learn the design process. These explorations gave the opportunity to the university to apply design research and academic findings in a professional and commercial environment.After one year of collaboration and ten prototypes tested at the airport, we can say that Avianca’s innovation mindset has evolved by implementing a user-centric perspective in the customer experience touch points, building prototypes and quickly iterate. Furthermore, this partnership helped Avianca’s employees to experience a design environment in which they were actively interacting in the innovation process.

“Enabling circular business models in the fashion industry: the role of digital innovation”

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Phuc Hong Huynh
Keyword(s):  
Business Model ◽  
Circular Economy ◽  
Business Models ◽  
Digital Technologies ◽  
Theory And Practice ◽  
Chain Model ◽  
Fashion Industry ◽  
Digital Innovation ◽  
Content Type ◽  
Radical Innovations

PurposeDigital innovation and circular business model innovation are two critical enablers of a circular economy. A wide variety of digital technologies such as blockchain, 3D printing, cyber-physical systems, or big data also diverges the applications of digital technologies in circular business models. Given heterogeneous attributes of circular business models and digital technologies, the selections of digital technologies and circular business models might be highly distinctive within and between sectorial contexts. This paper examines digital circular business models in the context of the fashion industry and its multiple actors. This industry as the world’s second polluting industry requires an urgent circular economy (CE) transition with less resource consumption, lower waste emissions and a more stable economy.Design/methodology/approachAn inductive, exploratory multiple-case study method is employed to investigate the ten cases of different sized fashion companies (i.e. large, small medium-sized firm (SME) and startup firms). The comparison across cases is conducted to understand fashion firms' distinct behaviours in adopting various digital circular economy strategies.FindingsThe paper presents three archetypes of digital-based circular business models in the fashion industry: the blockchain-based supply chain model, the service-based model and the pull demand-driven model. Besides incremental innovations, the radical business model and digital innovations as presented in the pull demand-driven model may be crucial to the fashion circular economy transition. The pull demand–driven model may shift the economy from scales to scopes, change the whole process of how the fashion items are forecasted, produced, and used, and reform consumer behaviours. The paths of adopting digital fashion circular business models are also different among large, SMEs and startup fashion firms.Practical implicationsThe study provides business managers with empirical insights on how circular business models (CBMs) should be chosen according to intrinsic business capacities, technological competences and CE strategies. The emerging trends of new fashion markets (e.g. rental, subscription) and consumers' sustainable awareness should be not be neglected. Moreover, besides adopting recycling and reuse strategies, large fashion incumbents consider collaborating with other technology suppliers and startup companies to incubate more radical innovations.Social implicationsAppropriate policies and regulations should be enacted to enable the digital CE transition. Market patterns and consumer acceptances are considered highly challenging to these digital fashion models. A balanced policy on both the demand and supply sides are suggested. The one-side policy may fail CBMs that entail an upside-down collaboration of both producers and consumers. Moreover, it is perhaps time to rethink how to reduce unnecessary new demand rather than repeatedly producing and recycling.Originality/valueThe pace of CE research is lagging far behind the accelerating environmental contamination by the fashion industry. The study aims to narrow the gap between theory and practice to harmonise fashion firms' orchestration and accelerate the transition of the fashion industry towards the CE. This study examines diverse types of digital technologies in different circular business models in a homogeneous context of the fashion industry with heterogeneous firm types.

Using action research in innovation project management: building legitimacy and organizational learning in an SME during a merger process

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Constance Elizabeth Kampf ◽  
Charlotte J. Brandt ◽  
Christopher G. Kampf
Keyword(s):  
Project Management ◽  
Organizational Learning ◽  
Action Research ◽  
Management Practices ◽  
Innovation Process ◽  
Theory And Practice ◽  
Organizational Level ◽  
Content Type ◽  
Innovation Project

PurposeThe purpose is to explore how the process of action research (AR) can support building legitimacy and organizational learning in innovation project management and portfolio practices in merger contexts.Design/methodology/approachMeta-reflection on method issues in Action Research through an action research case study with an innovation group during an organizational change process. This case demonstrates an example of an action research cycle focused on building practitioner legitimacy rather than problem-solving.FindingsKey findings include (1) demonstrating how AR can be used for building legitimacy through visualizing the innovation process, and embedding those visuals in top management practices of the organization; and (2) demonstrating how AR can work as an organizational learning tool in merger contexts.Research limitations/implicationsThis study focuses on an action research cooperation during a two-and-a-half-year period. Thus, findings offer the depth of a medium term case study. The processes of building legitimacy represent this particular case, and can be investigated in other organizational contexts to see the extent to which these issues can be generalized.Practical implicationsFor researchers, this paper offers an additional type of AR cycle to consider in their research design which can be seen as demonstrating a form of interplay between practitioner action and organizational level legitimacy. For practitioners, this paper demonstrates a connection between legitimacy and organizational learning in innovation contexts. The discussion of how visuals were co-created and used for building legitimacy for an innovation process that differs from the standard stage gate model demonstrates how engaging in AR research can contribute to developing visuals as resources for building legitimacy and organizational learning based on connections between theory and practice.Originality/valueThis case rethinks AR practice for innovation project management contexts to include legitimacy and organizational learning. This focus on legitimacy building from organizational learning and knowledge conversion contributes to our understanding of the soft side of innovation project management. Legitimacy is demonstrated to be a key concern for innovation project management practices.

scholarly journals DIGI-INNO Tech: Reinventing Innovations

2020 ◽  
pp. 356-360
Keyword(s):  
High Speed ◽  
Social Innovation ◽  
Innovation Management ◽  
Innovation Process ◽  
Value Chains ◽  
Technological Innovations ◽  
Green Innovation ◽  
Digital Innovation ◽  
New Ideas ◽  
Very High

Digital-Innovation Technology calls for reinvention of innovations that offers new opportunities and challenges to design new products and services in the era of hi-tech competition. Digitalization and innovations are pressing issues for business in almost each and every industry. The scope to create new digital value chains increases at a very high speed due to interconnection of people and systems . It is to be believed that wonderful new ideas can open up new ways of looking at various Social Problems because of Digi-Inno connection between people and software. However creating digitalized product and services often creates new problems and challenges to the firm that are trying to innovate. The concept of reinvention in innovation process is redesigning the innovations coupled with advances in science and technology. Technological innovations are only one of many kinds of innovation that develops variety of terms like social innovation, sustainable innovation, responsible and green innovation. In this paper, we tried to give special emphasis on issues of digital innovation management which helps to seek a better base for reinventing innovation management research in digital innovative world.

scholarly journals Prediction Markets for Crowdsourcing

2018 ◽  
Author(s):  
Christian Horn ◽  
Marcel Bogers ◽  
Alexander Brem*
Keyword(s):  
Stock Market ◽  
Open Innovation ◽  
Innovation Process ◽  
Business Practice ◽  
Prediction Markets ◽  
Knowledge Sources ◽  
Prediction Market ◽  
Online Platform ◽  
External Knowledge ◽  
Opening Up

Crowdsourcing is an increasingly important phenomenon that is fundamentally changing how companies create and capture value. There are still important questions with respect to how crowdsourcing works and can be applied in practice, especially in business practice. In this chapter, we focus on prediction markets as a mechanism and tool to tap into a crowd in the early stages of an innovation process. The act of opening up to external knowledge sources is also in line with the growing interest in open innovation. One example of a prediction market, a virtual stock market, is applied to open innovation through an online platform. We show that use of mechanisms of internal crowdsourcing with prediction markets can outperform use of external crowds.

scholarly journals Lessons From Joint Improvisation Workshops for Musicians and Robotics Engineers

2021 ◽  
Vol 7 ◽  
Author(s):  
Anthonia Carter ◽  
Marianthi Papalexandri-Alexandri ◽  
Guy Hoffman
Keyword(s):  
Design Research ◽  
Information Science ◽  
Musical Instruments ◽  
Theory And Practice ◽  
Science Students ◽  
Interdisciplinary Design ◽  
Time Space ◽  
Machine Improvisation ◽  
And Robotics

We report on a series of workshops with musicians and robotics engineers aimed to study how human and machine improvisation can be explored through interdisciplinary design research. In the first workshop, we posed two leading questions to participants. First, what can AI and robotics learn by how improvisers think about time, space, actions, and decisions? Second, how can improvisation and musical instruments be enhanced by AI and robotics? The workshop included sessions led by the musicians, which provided an overview of the theory and practice of musical improvisation. In other sessions, AI and robotics researchers introduced AI principles to the musicians. Two smaller follow-up workshops comprised of only engineering and information science students provided an opportunity to elaborate on the principles covered in the first workshop. The workshops revealed parallels and discrepancies in the conceptualization of improvisation between musicians and engineers. These thematic differences could inform considerations for future designers of improvising robots.

scholarly journals A fraud detection tool in E-auctions

2016 ◽  
Vol 9 (1) ◽  
pp. 1-11
Author(s):  
D Kavu Tatenda ◽  
Rugube Talent ◽  
Kawondera Francis ◽  
Chifamba Nyika
Keyword(s):  
Fraud Detection ◽  
Detection Tool

scholarly journals Prediction Markets in Theory and Practice

2006 ◽  
Author(s):  
Justin Wolfers ◽  
Eric Zitzewitz
Keyword(s):  
Theory And Practice ◽  
Prediction Markets

The Structural Design Research of Bourdon Tube

2012 ◽  
Vol 201-202 ◽  
pp. 279-282
Author(s):  
Xue Qun Fan ◽  
Li Xiang Zhang ◽  
Feng Xu ◽  
Yu Ming Gu ◽  
Jian Zhang ◽  
...  
Keyword(s):  
Structural Design ◽  
Elastic Limit ◽  
Design Research ◽  
Chemical Elements ◽  
Pressure Gauge ◽  
Theory And Practice ◽  
Coating Technology ◽  
Beryllium Bronze ◽  
Normal Work

Bourdon tube has been widely used in the fluid testing so far, and this paper introduces the chemical and physical behaviors of beryllium bronze QBe2.0 detailedly which mainly makes up bourdon tube; It analyzes the influences of elastic limit in bending on bourdon tube the chemical elements and coating technology bring; Simultaneously, it focuses on the design of the base of tube and the assembly body, points out the location of bourdon tube in bourdon tube pressure gauge; and the design of this paper can guarantee the normal work of bourdon tube in the sealed environment through the theory and practice. In the process of gauge fabricating, appropriate application of bourdon tube is very important.

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