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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2016
License: CC BY NC ND
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Digital density as the driving force of digital transformation processes

Authors: Bush Amengual, Xavier;

Digital density as the driving force of digital transformation processes

Abstract

Las tecnologías digitales han aumentado la influencia de la tecnología en el mundo del negocio, llegando incluso a cambiar los modelos de negocio y las estrategias de las organizaciones. Esta influencia, llamada Transformación Digital del Negocio (Digital Transformation - DT), sucede cuando aumentan el número de conexiones, información e interacciones digitales. Este fenómeno ha sido definido como Densidad Digital (Digital Density - DD) y tiene como objetivo proporcionar un análisis del estado de digitalización de las organizaciones. Con el concepto DD se propone el Modelo DD (DD Framework), que está formado por dos partes: una cualitativa y otra cuantitativa. Con el fin de dar soporte a estas dos partes se simula el efecto que una plataforma para smartphones llamada Waze tiene en el tráfico de las ciudades. Por lo que respecta a la parte cualitativa, se ha redefinido el concepto DD y con el Modelo CANVAS comparamos los cambios que ha introducido Waze en modelos de negocio previos. La parte cuantitativa de la simulación se ha realizado con MATLAB cuyo máximo objetivo es entender cómo un agente (conductor) elige uno u otro camino para ir de A a B. Como esperábamos, hemos comprobado que los agentes pueden realizar mejores decisiones respecto al camino a elegir a medida que tienen más información. A pesar de estos resultados, se introduce una analogía con la Paradoja de Braess para encontrar problemas potenciales y proporcionar soluciones. Se finaliza con una propuesta de futuro trabajo.

Les tecnologies digitals han augmentat la influència de la tecnologia en el món del negoci, inclús canviant els models de negoci i estratègies de les organitzacions. Aquesta influència, que anomenam Transformació Digital del Negoci (Digital Transformation - DT), esdevé quan augmenta el nombre de connexions, informació i interaccions digitals. Aquest fenomen es defineix com Densitat Digital (Digital Density - DD) i té com a objectiu proporcionar un anàlisi de l'estat de digitalització de les organitzacions. Amb el concepte DD proposam el Model DD (DD Framework), que està format per dues parts: una qualitativa i una altra quantitativa. Amb la finalitat de donar suport a aquestes dues parts s'ha simulat l'efecte que una plataforma per smartphones anomenada Waze té sobre el trànsit de les ciutats. Pel que fa a la part qualitativa, s'ha redefinit el concepte DD i amb el Model CANVAS comprovam els canvis que Waze ha introduït als models de negoci previs a la seva aparició. La part quantitativa de la simulació s'ha realitzat amb MATLAB amb el màxim objectiu d'entendre com un agent (conductor) escull entre un camí o un altre per anar des d'A fins a B. Tal i com s'esperava, s'ha comprovat que els agents poden realitzar millors decisions pel que fa a la tria del camí a mesura que tenen més informació. Contràriament, introduïm una analogia amb la Paradoxa de Braess per a trobar problemes potencials i proporcionar solucions. Es finalitza amb una proposta de treball futur.

Digital technologies have increased the influence of technology in business, even changing busi- ness models and strategies of organisations. This influence, called Digital Transformation of Business (DT), happens when there is an increase of the number of digital connections, infor- mation and interactions. This phenomena has been defined as Digital Density (DD) and aims to provide an assessment of the digitalization status of an organization. With the concept of DD we propose the DD Framework, that has two parts: qualitative and quantitative. In order to support both parts we simulate the effect that a platform for smartphones called Waze has on the traffic flow of a city. For the qualitative side, we redefine the concept of DD and with Business Model CANVAS we compare the changes introduced by Waze in the business model. The quantitative part of the simulation is performed with MATLAB and its goal is to under- stand how an agent chooses the path to drive from point A to point B. As expected, we prove that with more information agents can estimate better the costs of the different paths. Despite, even if our simulation seems to prove that the more information the agents have the better the system works, we introduce an analogy with the Braess Paradox to find potential problems and provide solutions for them. We conclude with a proposal of future work.

Countries
Sweden, Spain
Keywords

digital density, tráfico, Negocis -- Programes d'ordinador, Àrees temàtiques de la UPC::Economia i organització d'empreses, Electrical Engineering, Electronic Engineering, Information Engineering, Transformación digital, densidad digital, Traffic engineering, Simulation methods, transit, :Economia i organització d'empreses [Àrees temàtiques de la UPC], waze, digital transformation, Business, braess, Elektroteknik och elektronik, Simulació, Mètodes de, Enginyeria del trànsit

2 Digital Transformation & The Digital Density Framework 3 2.1 Digital Transformation of Business . . . . . . . . . . . . . . . . . 3 2.1.1 Why: Digital Density . . . . . . . . . . . . . . . . . . . . 5 2.1.2 What . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.1.3 How . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.2 The Digital Density Framework . . . . . . . . . . . . . . . . . . . 9 2.2.1 Retail Sector . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.2.2 Automotive Sector . . . . . . . . . . . . . . . . . . . . . . 13

3 Business Model CANVAS Framework 15 3.1 The Business Model . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.2 CANVAS Framework . . . . . . . . . . . . . . . . . . . . . . . . . 16

4 Waze Business Case: Simulation 18 4.1 Tra c ow in a city: Business Model Evolution . . . . . . . . . . 19 4.1.1 BM without Waze . . . . . . . . . . . . . . . . . . . . . . 19 4.1.2 BM with Waze . . . . . . . . . . . . . . . . . . . . . . . . 20 4.1.3 Comparison: BM model without and with Waze . . . . . 22 4.2 MATLAB simulation . . . . . . . . . . . . . . . . . . . . . . . . . 30 4.2.1 Environment description . . . . . . . . . . . . . . . . . . . 30 4.2.2 Mathematical Background: Volume-Delay Equationl . . . 31 4.2.3 Analysis Set-up: Sioux Falls . . . . . . . . . . . . . . . . . 32 4.2.4 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36

5 DD framework: Quantitative 45 5.1 DD index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 5.2 DD Graph . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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