The SEO Battlefield WINNING STRATEGIES for SEARCH MARKETING PROGRAMS
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Artificial Intelligence, Big Data and Cloud Computing 144
Digital Business and Electronic Digital Business Models StrategyCommerceProcess Instruments Strategy, Business Models and Technology Lecture Material Lecture Material Prof. Dr. Bernd W. Wirtz Chair for Information & Communication Management German University of Administrative Sciences Speyer Freiherr-vom-Stein-Straße 2 DE - 67346 Speyer- Email: [email protected] Prof. Dr. Bernd W. Wirtz Chair for Information & Communication Management German University of Administrative Sciences Speyer Freiherr-vom-Stein-Straße 2 DE - 67346 Speyer- Email: [email protected] © Bernd W. Wirtz | Digital Business and Electronic Commerce | May 2021 – Page 1 Table of Contents I Page Part I - Introduction 4 Chapter 1: Foundations of Digital Business 5 Chapter 2: Mobile Business 29 Chapter 3: Social Media Business 46 Chapter 4: Digital Government 68 Part II – Technology, Digital Markets and Digital Business Models 96 Chapter 5: Digital Business Technology and Regulation 97 Chapter 6: Internet of Things 127 Chapter 7: Artificial Intelligence, Big Data and Cloud Computing 144 Chapter 8: Digital Platforms, Sharing Economy and Crowd Strategies 170 Chapter 9: Digital Ecosystem, Disintermediation and Disruption 184 Chapter 10: Digital B2C Business Models 197 © Bernd W. Wirtz | Digital Business and Electronic Commerce | May 2021 – Page 2 Table of Contents II Page Chapter 11: Digital B2B Business Models 224 Part III – Digital Strategy, Digital Organization and E-commerce 239 Chapter 12: Digital Business Strategy 241 Chapter 13: Digital Transformation and Digital Organization 277 Chapter 14: Digital Marketing and Electronic Commerce 296 Chapter 15: Digital Procurement 342 Chapter 16: Digital Business Implementation 368 Part IV – Digital Case Studies 376 Chapter 17: Google/Alphabet Case Study 377 Chapter 18: Selected Digital Case Studies 392 Chapter 19: The Digital Future: A Brief Outlook 405 © Bernd W. -
New Strategies for the Platform Economy
SPECIAL COLLECTION STRATEGY New Strategies for the Platform Economy To reap the rewards and avoid the risks, companies exploring a platform business model must look carefully at their partnerships and growth strategy. Brought to you by: SPRING 2021 NEW STRATEGIES FOR THE PLATFORM ECONOMY SPECIAL REPORT 1 9 17 Competing on How Healthy Is Your Platform Scaling, Platforms Business Ecosystem? Fast and Slow THE DOMINANT DIGITAL PLATFORMS are now among the world’s most phases. At each stage, there are specific early valuable — and most powerful — companies, leaving a huge swath of organizations forced indicators to look for that point to potential to play by their rules. In this new competitive environment, businesses need new ways to failure. Tracking the appropriate metrics gain advantage despite platforms’ constraints and market clout. And businesses seeking to for each stage and being alert to red flags create successful platform ecosystems find that while the rewards can be great, the helps businesses pivot to a new approach or likelihood of failure is high. This special report examines the challenges faced by both limit their losses. platform owners and participants. Platforms aiming for market dominance have typically prioritized rapid growth. The asymmetries in power and infor- attention from U.S. and European regulators, However, Max Büge and Pinar Ozcan have mation between platform owners and the whose scrutiny of dominant platforms’ found that scaling quickly is not the right businesses reliant on them have implications practices may lead to shifts in the prevailing strategy in all circumstances: Pursuing fast for the traditional levers of competitive balance of power. -
Statistics for Donauschwaben-Usa.Org (2010-10)
Statistics for donauschwaben-usa.org (2010-10) Statistics for: donauschwaben-usa.org Last Update: 01 Nov 2010 - 13:51 Reported period: Month Oct 2010 When: Monthly history Days of month Days of week Hours Who: Organizations Countries Full list Hosts Full list Last visit Unresolved IP Address Robots/Spiders visitors Full list Last visit Navigation: Visits duration File type Viewed Full list Entry Exit Operating Systems Versions Unknown Browsers Versions Unknown Referrers: Origin Referring search engines Referring sites Search Search Keyphrases Search Keywords Others: Miscellaneous HTTP Status codes Pages not found Summary Reported period Month Oct 2010 First visit 01 Oct 2010 - 00:05 Last visit 31 Oct 2010 - 23:59 Unique visitors Number of visits Pages Hits Bandwidth 4264 5044 16762 108013 9.02 GB Viewed traffic * (1.18 visits/visitor) (3.32 Pages/Visit) (21.41 Hits/Visit) (1875.41 KB/Visit) Not viewed traffic * 39400 45593 3.12 GB * Not viewed traffic includes traffic generated by robots, worms, or replies with special HTTP status codes. Monthly history Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 Month Unique visitors Number of visits Pages Hits Bandwidth Jan 2010 0 0 0 0 0 Feb 2010 0 0 0 0 0 Mar 2010 0 0 0 0 0 Apr 2010 0 0 0 0 0 May 2010 0 0 0 0 0 Jun 2010 0 0 0 0 0 Jul 2010 0 0 0 0 0 Aug 2010 0 0 0 0 0 Sep 2010 0 0 0 0 0 Oct 2010 4264 5044 16762 108013 9.02 GB Nov 2010 0 0 0 0 0 Dec 2010 0 0 0 0 0 Total 4264 5044 16762 108013 9.02 GB Days of month 01 02 03 04 05 06 07 08 -
View July 2014 Report
MOBILE SMART FUNDAMENTALS MMA MEMBERS EDITION JULY 2014 messaging . advertising . apps . mcommerce www.mmaglobal.com NEW YORK • LONDON • SINGAPORE • SÃO PAULO MOBILE MARKETING ASSOCIATION JULY 2014 REPORT The Playbook Over the last few months we’ve been building a unique resource that will help our brand marketer members successfully develop and execute a mobile strategy, allowing them to deliver a consistent mobile brand experience on a global scale. Enter our Mobile Marketing Playbook (Press Release). Launched last week and created in partnership with global sporting goods giant, adidas, it aims to explain when, where and how companies can use mobile as core to their marketing efforts. Whilst we’ve seen some incredible work this year, as evidenced by the many great mobile campaigns submitted to our 2014 Smarties Awards Program (currently in pre-screening), one of the challenges marketers still face is how to make mobile an integral part of their mix. The Playbook takes marketers through the process of mobile strategy development from start to finish. It provides best practices around mobile executions, ways to leverage the myriad mobile vehicles, insights into mobile creative effectiveness and how companies can effectively measure and optimize mobile. To address the ever changing needs of and challenges faced by marketers, the Playbook will be regularly updated to reflect shifts in consumer behavior, mobile trends as they are introduced, and innovations that are continuously being developed through and with mobile. This will be accomplished in part by the annual addition of well over 500 case studies into our Case Study Hub, helping to define best practice and to serve as a source of inspiration to our marketer members Members can access the entire Playbook by logging in using your member login and password where directed. -
List of Search Engines
A blog network is a group of blogs that are connected to each other in a network. A blog network can either be a group of loosely connected blogs, or a group of blogs that are owned by the same company. The purpose of such a network is usually to promote the other blogs in the same network and therefore increase the advertising revenue generated from online advertising on the blogs.[1] List of search engines From Wikipedia, the free encyclopedia For knowing popular web search engines see, see Most popular Internet search engines. This is a list of search engines, including web search engines, selection-based search engines, metasearch engines, desktop search tools, and web portals and vertical market websites that have a search facility for online databases. Contents 1 By content/topic o 1.1 General o 1.2 P2P search engines o 1.3 Metasearch engines o 1.4 Geographically limited scope o 1.5 Semantic o 1.6 Accountancy o 1.7 Business o 1.8 Computers o 1.9 Enterprise o 1.10 Fashion o 1.11 Food/Recipes o 1.12 Genealogy o 1.13 Mobile/Handheld o 1.14 Job o 1.15 Legal o 1.16 Medical o 1.17 News o 1.18 People o 1.19 Real estate / property o 1.20 Television o 1.21 Video Games 2 By information type o 2.1 Forum o 2.2 Blog o 2.3 Multimedia o 2.4 Source code o 2.5 BitTorrent o 2.6 Email o 2.7 Maps o 2.8 Price o 2.9 Question and answer . -
New Methods of Online Advertising: Social Media Influencers
29TH DAAAM INTERNATIONAL SYMPOSIUM ON INTELLIGENT MANUFACTURING AND AUTOMATION DOI: 10.2507/29th.daaam.proceedings.006 NEW METHODS OF ONLINE ADVERTISING: SOCIAL MEDIA INFLUENCERS Dominik Zeljko, Bozidar Jakovic & Ivan Strugar This Publication has to be referred as: Zeljko, D[ominik]; Jakovic, B[ozidar] & Strugar, I[van] (2018). New Methods of Online Advertising: Social Media Influencers, Proceedings of the 29th DAAAM International Symposium, pp.0041- 0050, B. Katalinic (Ed.), Published by DAAAM International, ISBN 978-3-902734-20-4, ISSN 1726-9679, Vienna, Austria DOI: 10.2507/29th.daaam.proceedings.006 Abstract Through this paper, a theoretical and empirical part of the field of electronic business is involved in the creation of a platform that will connect companies and influencers. The aim of this paper was to approximate the concept of advertising through social media, their advantages and issues in the theoretical part and present the idea of implementing new services on the market through the practical part. The conducted market research fully supports a hypothesis of this paper, emphasizing the use of the proposed e-business model for creating a platform that will connect businesses and influencers as useful and applicable. Based on the results of the research and confirmed needs for the use of the said system, an example of an electronic business model was made. Keywords: electronic business; platform; advertising; social media; influencers 1. Introduction to Social Networks Until beginning of social networks development, which is marked by appearance of first web location for social connecting SixDegrees.com [1], the general concept of web search was limited to one-way web browsing on web pages. -
Statistics for Donauschwaben-Usa.Org (2010-06)
Statistics for donauschwaben-usa.org (2010-06) Statistics for: donauschwaben-usa.org Last Update: 04 Jul 2010 - 10:11 Reported period: Month Jun 2010 When: Monthly history Days of month Days of week Hours Who: Organizations Countries Full list Hosts Full list Last visit Unresolved IP Address Robots/Spiders visitors Full list Last visit Navigation: Visits duration File type Viewed Full list Entry Exit Operating Systems Versions Unknown Browsers Versions Unknown Referrers: Origin Referring search engines Referring sites Search Search Keyphrases Search Keywords Others: Miscellaneous HTTP Status codes Pages not found Summary Reported period Month Jun 2010 First visit 01 Jun 2010 - 00:12 Last visit 30 Jun 2010 - 23:49 Unique visitors Number of visits Pages Hits Bandwidth 3764 4634 12399 84974 6.35 GB Viewed traffic * (1.23 visits/visitor) (2.67 Pages/Visit) (18.33 Hits/Visit) (1437.87 KB/Visit) Not viewed traffic * 18670 22983 2.81 GB * Not viewed traffic includes traffic generated by robots, worms, or replies with special HTTP status codes. Monthly history Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 Month Unique visitors Number of visits Pages Hits Bandwidth Jan 2010 0 0 0 0 0 Feb 2010 0 0 0 0 0 Mar 2010 0 0 0 0 0 Apr 2010 0 0 0 0 0 May 2010 0 0 0 0 0 Jun 2010 3764 4634 12399 84974 6.35 GB Jul 2010 0 0 0 0 0 Aug 2010 0 0 0 0 0 Sep 2010 0 0 0 0 0 Oct 2010 0 0 0 0 0 Nov 2010 0 0 0 0 0 Dec 2010 0 0 0 0 0 Total 3764 4634 12399 84974 6.35 GB Days of month 01 02 03 04 05 06 07 08 09 -
Big Food, Big Tech, and the Global Childhood Obesity Pandemic
Big Food, Big Tech, and the Global Childhood Obesity Pandemic AUTHORS: Jeff Chester, MSW Kathryn C. Montgomery, PhD MAY 2021 Katharina Kopp, PhD Big Food, Big Tech, and the Global Childhood Obesity Pandemic | 2 Acknowledgments This report is part of a unique partnership of four organizations—Berkeley Media Studies Group, Color of Change, UnidosUS, and Center for Digital Democracy—working together to promote policies to ensure health equity for youth, communities of color, and other at-risk populations. The partnership is funded through a generous grant from the Robert Wood Johnson Foundation, which has also supported CDD’s ongoing research to investigate how contemporary digital marketing and Big Data practices impact young people’s health. We are very grateful to the Foundation’s commitment to these efforts. We also want to thank the following individuals and organizations who helped us with the writing and publication of the report: Jamie Bussel, Lori Dorfman, Gary O. Larson, and Burness Communications. Big Food, Big Tech, and the Global Childhood Obesity Pandemic INTRODUCTION | 3 INTRODUCTION devastating. For decades, there has been a steady and disturbing rise in The coronavirus pandemic triggered a dramatic obesity among children and youth. For example, obesity rates among increase in online use. With tens of millions of families teens ages 12 to 19 have quadrupled remaining in their homes, people turned to the internet since the 1980s. According to the most recent public health data, 19.3 to order food, stay up with the fast-breaking news, percent of all youth between the ages and engage with family and friends. -
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International Journal of Management & Information Systems – Fourth Quarter 2011 Volume 15, Number 4 History Of Search Engines Tom Seymour, Minot State University, USA Dean Frantsvog, Minot State University, USA Satheesh Kumar, Minot State University, USA ABSTRACT As the number of sites on the Web increased in the mid-to-late 90s, search engines started appearing to help people find information quickly. Search engines developed business models to finance their services, such as pay per click programs offered by Open Text in 1996 and then Goto.com in 1998. Goto.com later changed its name to Overture in 2001, and was purchased by Yahoo! in 2003, and now offers paid search opportunities for advertisers through Yahoo! Search Marketing. Google also began to offer advertisements on search results pages in 2000 through the Google Ad Words program. By 2007, pay-per-click programs proved to be primary money-makers for search engines. In a market dominated by Google, in 2009 Yahoo! and Microsoft announced the intention to forge an alliance. The Yahoo! & Microsoft Search Alliance eventually received approval from regulators in the US and Europe in February 2010. Search engine optimization consultants expanded their offerings to help businesses learn about and use the advertising opportunities offered by search engines, and new agencies focusing primarily upon marketing and advertising through search engines emerged. The term "Search Engine Marketing" was proposed by Danny Sullivan in 2001 to cover the spectrum of activities involved in performing SEO, managing paid listings at the search engines, submitting sites to directories, and developing online marketing strategies for businesses, organizations, and individuals. -
Mastering the SEO Battlefield
Mastering the SEO Battlefield Anne Ahola Ward Boston The SEO Battlefield by Anne Ahola Ward Copyright © 2016 Anne Ward. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc. , 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles ( http://safaribooksonline.com ). For more information, contact our corporate/ institutional sales department: 800-998-9938 or [email protected] . Editor: Meg Foley Proofreader: FILL IN PROOFREADER Production Editor: FILL IN PRODUCTION EDI‐ Indexer: FILL IN INDEXER TOR Interior Designer: David Futato Copyeditor: FILL IN COPYEDITOR Cover Designer: Karen Montgomery Illustrator: Rebecca Demarest March 2017: First Edition Revision History for the First Edition 2016-11-17: First Early Release See http://oreilly.com/catalog/errata.csp?isbn=9781491958377 for release details. The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. The SEO Battlefield, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. While the publisher and the author(s) have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the author(s) disclaim all responsibil‐ ity for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights. -
52 Ecommerce Marketing Ideas
52 Marketing Ideas For Your Online Store SEO 1. Get your OnPage SEO In Order 2. Join Haro and Get Featured 3. Ask to guest post 4. Get blogs to interview you/Feature Your product 5. Start a blog and use the content Ideas below Organic Social 1. Youtube 2. Facebook 3. Instagram 4. Pinterest 5. Twitter 6. Vine 7. Tumblr 8. SnapChat 9. Google+ 10. Yelp 11. Reddit 12. Get on Google Maps Content 1. Spotlight Marketing 2. Round up posts 3. Keyword Targeted Posts 4. Location Targeted Posts 5. Posts on each of your products Paid Search Ads 1. Google Text Ads Via Adwords 2. Product listing Ads 3. Google Display Ads 4. Bing Text Ads 5. Bing Product Listing Ads 6. Yahoo Ads 7. THink about doing separate campaigns for mobile Paid Social 1. Facebook 2. Pintrest 3. Instagram 4. Youtube 5. Twitter 6. Linkedin Influencer Marketing (famebit) 1. Give away free products/Hire Influencer from Instagram 2. Give away free products/Hire Influencer from Youtube 3. Give away free products/Hire Influencer from SnapChat 4. Give away free products/Hire Influencer from Pinterest 5. Give away free products/Hire Influencer from Twitter 6. Give away free products/Hire Influencer from Vine Email Marketing 1. Capture Emails and Do Email Marketing Offline 1. Make Phone Calls to VIPs 2. Cold Email VIPs 3. Walk in to VIP customer 4. Send Post cards 5. Send catalogs 6. Send Discount codes 7. Focus on building a marketing campaign locally Other 1. Sell On Amazon 2. Sell on Ebay 3. -
Web Search Engine
Web Search Engine Bosubabu Sambana, MCA, M.Tech Assistant Professor, Dept of Computer Science & Engineering, Simhadhri Engineering College, Visakhapatnam, AP-531001, India. Abstract: This hypertext pool is dynamically changing due to this reason it is more difficult to find useful The World Wide Web (WWW) allows people to share information.In 1995, when the number of “usefully information or data from the large database searchable” Web pages was a few tens of millions, it repositories globally. We need to search the was widely believed that “indexing the whole of the information with specialized tools known generically Web” was already impractical or would soon become as search engines. There are many search engines so due to its exponential growth. A little more than a available today, where retrieving meaningful decade later, the GYM search engines—Google, information is difficult. However to overcome this problem of retrieving meaningful information Yahoo!, and Microsoft—are indexing almost a intelligently in common search engines, semantic thousand times as much data and between them web technologies are playing a major role. In this providing reliable sub second responses to around a paper we present a different implementation of billion queries a day in a plethora of languages. If this semantic search engine and the role of semantic were not enough, the major engines now provide much relatedness to provide relevant results. The concept higher quality answers. of Semantic Relatedness is connected with Wordnet which is a lexical database of words. We also For most searchers, these engines do a better job of made use of TF-IDF algorithm to calculate word ranking and presenting results, respond more quickly frequency in each and every webpage and to changes in interesting content, and more effectively Keyword Extraction in order to extract only useful eliminate dead links, duplicate pages, and off-topic keywords from a huge set of words.