POLECAMY
Koszyk
Reduction of information asymmetry in e-commerce: the web scraping approach
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Format:
ibuk
The purpose of this work is to create an automated tool based on the web scraping technique that is designed to reduce the information asymmetry occurring in the buyer-seller relationship. The baseline environment for illustrating the problem of information asymmetry is also the automotive industry. The case of the largest automotive classifieds portal in Poland, which is OTOMOTO, was used in this study. This book is organized as follows. Chapter 1 outlines the theoretical background with specific attention dedicated to the issue of information asymmetry. Chapter 2 discusses the theoretical foundation of data extraction from internet resources (with particular focus on web scraping), their characteristics, particularly legal as well as ethical issues, and the necessity to deploy data collection technologies in the research setting. In chapter 3, a tool for data extraction created together with a suitable database to be able to harvest data from the OTOMOTO advertising site is discussed. The chapter also provides technical elements including the Python language upon which the constructed tool is predicated. Chapter 3 additionally covers a practical portion of the research in which a sample evaluation of the automotive industry in Poland is done, which draws on the data gathered from OTOMOTO advertisement portal with the assistance of the built web scraping tool. The book can be found useful for researchers, academics, and data scientists, offering scholarly insights into reducing information asymmetry in e-commerce through web scraping.
| Rok wydania | 2024 |
|---|---|
| Liczba stron | 129 |
| Kategoria | Publikacje darmowe |
| Wydawca | Wydawnictwo Uniwersytetu Ekonomicznego w Katowicach |
| ISBN-13 | 978-83-7875-890-7 |
| Numer wydania | 1 |
| Język publikacji | angielski |
| Informacja o sprzedawcy | ePWN sp. z o.o. |
Ciekawe propozycje
Information Technology and Law
do koszyka
Asymmetric Information in Public...
do koszyka
For Information Received
do koszyka
Spis treści
| Introductory word | 7 |
| Chapter 1. E-commerce in the face of information asymmetry | 11 |
| 1.1. Uncertainty and information asymmetry in the digital economy | 11 |
| 1.2. Challenges of the e-commerce sector | 18 |
| 1.3. Advertisement portal as an e-commerce tool | 24 |
| Chapter 2. Web scraping | 27 |
| 2.1. The need to implement automated data acquisition tools | 27 |
| 2.1.1. Data and information as a basis of the notion of web scraping | 27 |
| 2.1.2. Web scraping as a medium for obtaining information in a big data world | 30 |
| 2.2. Properties of data acquisition tools | 36 |
| 2.3. Use of web scraping in practice | 40 |
| 2.3.1. Strengths and opportunities of data content mining | 40 |
| 2.3.2. Legality and ethical use of web scraping | 41 |
| Chapter 3. Designing a web scraping tool | 48 |
| 3.1. OTOMOTO – the largest Polish automotive classifieds portal | 48 |
| 3.1.1. Structure of the portal | 49 |
| 3.1.2. A quick look at the OTOMOTO regulations | 52 |
| 3.2. Preparation for a web scraping tool project | 54 |
| 3.2.1. Conceptual work. Description of the algorithm’s operation. Process diagram | 54 |
| 3.2.2. Preparation of the technical environment | 61 |
| 3.3. Web extractor – design and programmatic implementation | 64 |
| 3.3.1. Structure of the project in the PyCharm environment | 65 |
| 3.3.2. Program communication with the user – collecting information | 66 |
| 3.3.3. Creation of the list of offers’ URL | 79 |
| 3.3.4. Retrieving hyperlinks to particular advertisements | 82 |
| 3.3.5. The process of the factual web scraping | 85 |
| 3.3.6. Exporting scraped results to a Microsoft Excel spreadsheet | 93 |
| 3.3.7. Program operation in practice with a sample analysis | 95 |
| 3.4. Discussion | 101 |
| Conclusions | 105 |
| Appendix | 107 |
| References | 111 |
| List of Figures | 127 |
| List of Tables | 129 |
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