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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
51

Analýza a návrh elektronického obchodu / Analysis and Design of Electronic Commerce

Stránský, David January 2013 (has links)
This master's thesis focuses on the analysis, design and implementation of Electronic Commerce. The first part is devoted to Internet marketing, search engine optimization and modeling of Electronic Commerce from a theoretical point of view. The analytical part focuses on the description of the common e-commerce functionalities and meeting with some available solutions and steps for its implementation. There will be designed and implemented model of E-commerce based on theoretical and analytical knowledge. This model will serve as the basic part for future application, which fits specific customer's needs.
52

Nástroj pro SEO analýzu / SEO Analysis Tool

Špaček, Petr January 2011 (has links)
The thesis deals with SEO problems (Search Engine Optimization). The part of the thesis is creation of tool which analyzes web pages in multilanguage versions and results provides with appropriate educational effect for user. According the analyzing that can be also used in the regular interval it's possible to show optimization history. The tool uses Microsoft technologies, especially ASP.NET, SQL Server 2008 or Microsoft Server 2008 and is developed by Visual Studio 2010.
53

Användning av digitala marknadsföringskanaler : En kvalitativ fallstudie om hur sökmotorer integreras med digitala marknadsföringskanaler / Use of digital marketing channels : A qualitative case study of how search engines integrate with digital marketing channels

Erksén, Fanny, Thelin, Matilda January 2020 (has links)
Syfte: Syftet med denna studie är att öka kunskapsområdet och förståelsen kring företagens användning av sökmotoroptimering och sökmotormarknadsföring, avseende integrering med andra digitala marknadsföringskanaler. Teoretisk referensram: De teorier som använts i denna studie är Push/Pull, The 4S Web Marketing Mix Model, Integrated Marketing Communication Mix och Digital Marketing Channel Decision Model. Metod: Denna studie utgår ifrån en kvalitativ forskningsstrategi där det empiriska underlaget har samlats in genom sju semistrukturerade telefonintervjuer. Slutsatser: Syftet med att använda sökmotorer är främst för att få synlighet och nå målgruppen. Sökmotormarknadsföring används i större utsträckning för att synas när de är hög konkurrens medan sökmotoroptimering används för att förse kunder med relevant information. Studiens slutsats visar att det krävs att det utvecklas en marknadsföringsmodell som utgår ifrån att kunder idag kontrollerar köpprocessen gällande hur företag ska förse kunder med information. Huruvida sökmotormarknadsföring integreras beror på företagens mål samt hur de integrerar digitala byråer i sin verksamhet. Företag med konkreta mål kan lättare anpassa strategi i sökmotorer efter andra digitala kanaler. Företag som anlitar byråer bör integrera byråerna i den digitala strategin för att anpassa strategi i sökmotorer efter andra digitala kanaler. / Purpose: The purpose of this research is to increase the area of knowledge and understanding of companies use of search engine optimization and search engine marketing, regarding integration with other digital marketing channels. Theoretical frame of reference: The theories used in this study are Push/Pull, The 4S web Marketing Mix Model, Integrated Marketing Communication Mix and Digital Marketing Channel Decision Model. Method: This study is based on a qualitative research strategy where the empirical data has been collected through seven semi-structured telephone interviews. Conclusions: The purpose of using search engines is primarily to gain visibility and reach the target audience. Search engine marketing is used to a greater extent to be seen when there is high competition while search engine optimization is used to provide customers with relevant information. The study's conclusion shows that it is necessary to develop a marketing model that is based on customers controlling the purchasing process regarding how companies should provide customers with information. Whether search engine marketing is integrated depends on the companies' goals and how they integrate digital agencies into their operations. Companies with concrete goals can adapt strategy in search engines with other digital channels. Companies that hire agencies should integrate the agencies into the digital strategy in order to adapt the strategy in search engines with other digital channels.
54

Applying Digital Marketing Methods in the Healthcare Industry : A Case Study at Immuneed

Lindgren, Andrée, Mohidin, Daniar January 2020 (has links)
The study is performed with the aim to investigate why healthcare companies are lagging compared to other industries within digital marketing. This is made with an abductive approach whereas a literature review was performed in the beginning of the study and after empirical data gathering and analysis was reviewed, the literature review was completed. The study is performed as a case study at a clinical research organization in Uppsala, Sweden 2020. Qualitative and quantitative methods were applied through interviews with search engine optimizing (SEO) specialist and with interviews with business developers at companies within the healthcare sector. The quantitative part has two data gatherings, (1) a survey towards SEO specialist and employees at various companies and (2) data gathering of branch colleagues’ top keywords for volume and traffic. Outcomes are that there is not enough research made within digital marketing for healthcare companies or business to business in general. Other finding is that the healthcare industry is lagging compared to other industries in terms of digital marketing.
55

Turbofan Engine Modeling - For The Fighter Aircraft of The Future / Modellering av Turbofläktmotor - För Framtidens Stridsflygplan

Tahmasebi, Aria January 2022 (has links)
The demand for turbofan engine performance development is high in the military industry. However, to develop the engine, it is necessary to predict its performance, and engine testing is both time-consuming and costly. Therefore, simulation is an effective approach to predicting the engine’s performance. During this thesis, a low bypass ratio turbofan engine is created in the simulation tool Simulink to investigate the engine performance throughout different flight conditions and maneuvers. The engine model is constructed for the future fighter aircraft at SAAB Aeronautics. The development of a design point has received particular attention throughout the work. After that, the development of proven methods for estimating engine performance of other parts of the flight envelope, resulting in increased model fidelity and enabling simulations of the same engine type but under different conditions and flight cases. To summarize, the tests of the engine model are successful under various design characteristics, conditions, and flight cases. In addition, simulations of the performance evaluation of fighter aircraft engines have been accomplished.
56

Framtagning av en konceptuell kostnadsmodell för sökmotoroptimerade webbapplikationer : Ett förslag på kostnadsmodell som beskriver uppkomna kostnader utifrån centrala aktiviteter / Development of a conceptual cost model for search engine optimized web applications : An alternative cost model that describes expenses based on key activities

Rosvall, Oliver January 2021 (has links)
Den digitala utvecklingen har förändrat sättet människor kommunicerar och lever sina liv. Idag är det möjligt att boka ett möte, beställa mat eller köpa en resa online. Den moderna människans konsumtionsvanor gör det livsviktigt för företag att etablera en digital närvaro. Som ett resultat av detta väljer allt fler företag att utveckla nya webbapplikationer för att sälja och marknadsföra sina produkter. För att synas finns det idag många olika marknadsföringsstrategier men under de senaste åren har det visat sig vara populärt att använda sig av sökmotorer. Sökmotormarknadsföring kan utföras med hjälp av sökmotoroptimering (SEO) och sökmotorannonsering. Båda metoderna behandlar olika områden som gör att en webbsida syns bland sökresultaten på sökmotorer såsom Google, Yahoo och Bing. Som ett resultat har det blivit vanligt att dessa två metoder används i symbios med varandra för att skapa ett konstant inflöde av användare. Att räkna ut priset för sökmotorannonsering är enkelt eftersom webbägaren betalar ett pris för varje annonsklick. Att räkna ut priset för SEO är något mer komplicerat eftersom kostnaden beror på vilket optimeringsarbete som utförs. Problemet är att det inte finns en känd kostnadsmodell som presenterar uppkomna kostnader vid framtagning och underhåll av en sökmotoroptimerad webbapplikation. Denna rapport syftar därför till att ta fram och presentera en konceptuell kostnadsmodell som ökar förståelsen för uppkomna kostnader vid centrala aktiviteter. Rapportens mål är däremot att ta fram en modell som kan användas av företag, organisationer, forskargrupper och individer för att identifiera och kategorisera uppkomna kostnader vid skapande och underhåll av en sökmotoroptimerad webbapplikation. Framtagandet av den konceptuella kostnadsmodellen genomfördes via en kvalitativ studie vilket innebär att studiens resultat bygger på observationer, upplevelser och sinnesintryck. Insamling av data gjordes med hjälp av en utforskningsmodell som består av två forskningskriterier. Arbetet inleddes med att utforska (1) centrala aktiviteter som påverkar kostnaden och därefter studerades (2) initiala och löpande kostnader. En fallstudie och fyra stycken intervjuer har använts som rapportens forskningsinstrument. De data som samlats in har analyserats med en tematisk analys där samband och olikheter identifieras. Utifrån upptäckterna i analysen skapades sedan en primär kostnadsmodell. Den primära kostnadsmodellen utvärderades med hjälp av arbetets utvärderingsmodell som präglades av tre forskningskriterier. Utvärderingen gjordes med en av intervjupersonerna och fokus låg på att studera hur bra modellen speglar verkligheten. Under intervjun utvärderades modellens övergripande (1) struktur, (2) aktiviteter och (3) kostnadsslag. Resultatet från utvärderingen resulterades sedan i en slutgiltig kostnadsmodell vid namn SEOCM (Search Engine Optimization Cost Model). Modellen tar och beskriver centrala aktiviteter som påverkar tillverkningskostnader och underhållskostnader för en sökmotoroptimerad webbapplikation. / The rise of technology has changed the way people communicate and live their lives. Nowadays, people can book a meeting, order food, or buy a trip online. The change in consumption habits makes it vital for companies to establish a digital presence. As a result, more companies are choosing to develop web applications to sell and market their product. To be visible, there are many different marketing strategies, but in recent years it has proven popular to use search engines. Search engine marketing can be done with search engine optimization (SEO) and search engine advertising. Both methods deal with different areas that make a web application visible on search engines such as Google, Yahoo and Bing. As a result, both methods are usually combined to generate a higher number of visitors. Calculating the price of search engine advertising is easy because the web owner pays a price for each ad clicked. Calculating the price for SEO is somewhat more complicated as the cost depends on the optimization work performed. The problem is that there is no known cost model that presents costs categories during development and maintenance of a search engine optimized web application. This purpose of the report, is therefore, to develop and present a conceptual cost model that demonstrates costs incurred in key activities. The goal of the report, however, is to develop a model that can be used by companies, organizations, research groups, and individuals to identify and categorize the cost incurred in creating a web application that applies search engine optimization. The development of the conceptual cost model has been carried out via a qualitative study, which means that the results are based on observations, experiences, and sensory impressions. Data collection has been done using an exploration model that consists of two research criteria. The work began with exploring (1) key activities that affect the cost and then studied (2) initial and running costs. A case study and four interviews have been used as the report's research instruments. The data collected have been analyzed with a thematic analysis where similarities and differences are identified. Based on the findings, a primary cost model was created. The primary cost model has been evaluated with an evaluation model, which carried three research criteria. The evaluation was made with one of the interviewees and the focus was on studying how well the model reflects reality. During the interview, the model's overall (1) structure, (2) activities, and (3) cost categories were evaluated. The results of the evaluation then resulted in a final cost model called SEOCM (Search Engine Optimization Cost Model). The model captures and describes key activities that affect manufacturing costs and maintenance costs for search engine optimized web applications.
57

Utilization of AI in Digital Marketing : An empirical study of Artificial Intelligence and the impact of effectiveness, ethics and regulations.

Sundqvist, Belinda, Ohanisian, Jerar, ali, shaafi osman January 2023 (has links)
Date: 2023-05-30 Level: Bachelor thesis in Business Administration, 15 cr Institution: School of Business, Society & Engineering, Mälardalen University Authors: Belinda Sundqvist         Jerar Ohanisian                 Shaafi Osman Ali                        00/09/08                        97/09/03                               99/02/05 Title: Utilization & impact of AI in digital marketing Examinator: Magnus Linderström  Supervisor: Stylianos Papaioannou Keywords: Artificial intelligence (AI), Digital marketing, Search engine optimization (SEO), Customer relationship management (CRM), Gathered data, Ethics, Effectiveness, Regulation Research question: How do businesses utilize AI and how does it impact digital marketing? Purpose: The purpose of this study is to examine how organizations use artificial intelligence (AI) technology in their digital marketing, and how this affects their efforts to communicate digitally. This in conjunction with any repercussions regarding ethical and legal concerns, that may occur through the utilization of AI. Method: Qualitative method  Conclusion: AI tools, especially text generators like ChatGPT, are being widely used in digital marketing, especially by small to medium-sized enterprises (SMEs). Larger businesses consider ethical and legal aspects like GDPR in AI implementation. The utilization and choice of AI tools depend on a business's needs and resources. While AI helps improve margins, reduce costs, and enhance quality, it also includes challenges like potential skill gaps. Business size matters: large businesses can invest more but struggle with implementation, whereas SMEs adapt quicker and can achieve growth through AI. The study confirms AI's profitability in business, specifically in digital marketing.
58

Search Engine Optimization: A New Literacy Practice

Robisch, Katherine A. January 2013 (has links)
No description available.
59

Web Accessibility and Search Engine Optimization: an investigation on the implementation and its effect within e-commerce websites in Sweden / Användartillgänglighet och Sökmotoroptimering: en undersökning kring implementationen och dess effekt på e-handelshemsidor i Sverige

Alfvén, Mikaela, Creutz, Amanda January 2021 (has links)
With the digital world we live in today, inclusion on the web is crucial. Ensuring all who want to access the web can do so is a responsibility that can be vague. As prior research has shown that making a website accessible is a low prioritized matter because of time and money, but also lack of knowledge, the purpose with this thesis was to find out if factors used for search engine optimization could cater to web accessibility. There is a general understanding that there are overlapping factors between the two concepts. Since search engine optimization is a desired and successful part of providing a website with traffic, an overlap should improve accessibility. To understand in what way the search engine optimization factors could affect the accessibility of a webpage as a whole, with this thesis we go into the context of implementation by interviewing web professionals. As this thesis will show, there are multiple aspects needed to be taken into consideration when measuring to what extent the overlapping factors affect website performance in regards to accessibility. Factors like the clients, thoughts about responsibility, experience and even personal interest come into play. The method used was qualitative where we analysed the data with a thematic analysis and descriptive statistics. The data collection had three parts: a survey, an in-depth interview with a few of the participants from the survey, and finally a web performance test. The latter was performed by Siteimprove crawl, which administers one of the top accessibility ranking tools online. The general indication was that we cannot draw a conclusion to the benefit of it being enough to just implement the SEO factors that overlap. Although, this investigation provides an insight into to what extent web professionals are implementing the overlapping factors between search engine optimization and web accessibility, and what other aspects may influence web performance.
60

Påverkan av business intelligences på digital marknadsföring och affärsutveckling : En fallstudie om hur business intelligence kan användas för affärsutveckling i samband med digital marknadsföring för att öka konvertering. / Business intelligences influence on digital marketing and business development : A case study on how business intelligence can be used for business development with digital marketing to increase conversion

Gruffman, Emma, Gunnarsson Johnson, Amanda January 2021 (has links)
Digital marknadsföring genomsyrar dagens samhälle och är en viktig del i att företag förblir konkurrenskraftiga. I och med digitaliseringens ökning så ökar även informationsmängden som genereras. Business intelligence är ett system vilket kan presentera användbar information från en stor mängd data till användaren, som kan användas för bättre beslutfattande.    Denna studie har genomfört en fallstudie med syfte att undersöka i vilken utsträckning BI kan appliceras för att öka lönsamheten av digital marknadsföring.    Resultatet visar på att kunder initialt är negativt inställda till annonsering i sökmotorer, däremot kan attityden till annonsering förändras ifall annonseringen förmedlar något värde till kunden. Men för att skapa värde för kunden krävs kunskap, både om kundens beteende och om marknadsföringens påverkan. Det gäller att hitta rätt sökord för företaget samt att dessa sökord är tillräckligt individbaserade så att de matchar kundens sökning.  Studien har identifierat att det krävs mer än en effektiv digital marknadsföring för att öka konvertering, utan även andra faktorer har stor betydelse. Den största påverkan studien har kunnat identifiera är själva varumärket. Därmed för att öka konverteringar bör fokus först och främst ligga på varumärkesexponering och att utveckla effektiva marknadsföringsstrategier / Digital marketing permeates today's society and is an important part of companies creating unique competitive advantages. In addition, it has led to the growth of information digitally. Business intelligence is a system that generates useful information to the user of the system, which can be used to make better decision making    The study has been conducted by a case study, with the aim of investigating the extent to which BI can be applied to increase the profitability of digital marketing.   The results show that initially customers often think negatively about advertisements in search engines, the attitude towards advertisement can shift if the advertisement presents some sort of value to the customer. To create value knowledge is required, about customer behavior and marketing. It is important to find the right search words for the company and that these search words are sufficiently individual based, so they match the customer search.  Furthermore, the results show that to increase purchases there is more than to create effective digital marketing. The study has found that the brand has the biggest impact on customers. Therefore to increase purchases, the focus should primarily be on brand exposure and developing effective marketing strategies.

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