The need to use data mining techniques in E-Business

Abstract. The number of Internet users rose from 400 million in 2000 to just over 2 billion in early 2011. This means that approximately one third of the world's population uses the internet. Taking  these conditions into consideration, we can say that businesses have changed their way. Many companies that, over the last century could not even dream that could have a certain volume of activity or they could face competition with industry giants, have succeeded in giving to enjoy great success.  For example: Amazon.com, founded in 1995, had in 1999 a turnover of at least 13 times higher than other prestigious names in the U.S., such as Barnes & Noble and Borders Books & Music. E-business is the key to make life easier for the people. Knowledge of e-business environment is essential for doing business in this century. More must be understood and new technologies applied to extract knowledge from data

Use of Data Mining for The Analysis of Consumer Purchase Patterns with The Fpgrowth Algorithm on Motor Spare Part Sales Transactions Data

This study aims to analyze consumer purchasing patterns for motorcycle parts using data mining methods and FP-Growth algorithms on motorcycle parts sales transaction data. This research aims to obtain helpful information for companies in planning marketing strategies and increasing sales. The data used in this study are motorcycle parts sales transaction data from motorcycle parts stores for one year. The data is then processed using the FP-Growth algorithm to find significant purchasing patterns. The results of this study show that the FP-Growth algorithm can be used to identify substantial consumer purchasing patterns. Some purchase patterns found include a combination of often purchased products, the most active purchase time, and the most purchased product category. Using data mining and the FP-Growth algorithm can assist companies in understanding significant consumer purchasing patterns to improve the effectiveness of marketing strategies and increase sales of motorcycle parts. The novelty of this research lies in using data mining methods and FP-Growth algorithms on motorcycle parts sales transaction data to analyze consumer purchasing patterns. This research also provides valuable information for companies in planning marketing strategies and increasing sales by identifying significant consumer purchasing patterns, such as product combinations often purchased together and the most purchased product categories

Modeling toothpaste brand choice: An empirical comparison of artificial neural networks and multinomial probit model

Copyright @ 2010 Atlantis PressThe purpose of this study is to compare the performances of Artificial Neural Networks (ANN) and Multinomial Probit (MNP) approaches in modeling the choice decision within fast moving consumer goods sector. To do this, based on 2597 toothpaste purchases of a panel sample of 404 households, choice models are built and their performances are compared on the 861 purchases of a test sample of 135 households. Results show that ANN's predictions are better while MNP is useful in providing marketing insight

소비자 선택에 관한 현장 실험연구 및 코로나 바이러스에 대한 경제주체의 대응에 관한 연구

학위논문(박사) -- 서울대학교대학원 : 사회과학대학 경제학부, 2022.2. 최승주.This thesis studies consumer choices in a beverage choice by conducting a field experiment and investigates public responses to the Korean government’s non-pharmaceutical interventions to Covid-19. The first chapter provides experimental evidence on consumers’ inattention in a beverage choice setting and estimates the degree of inattention under a theoretical framework. In the field experiment, the shelf placement of the beverage varied exogenously. The estimated consumers’ degree of inattention to the farthest position from eye height was around 20%. Displaying less (more) sugary beverages at eye height (the farthest position from eye height) increases (decreases) consumers’ demand by 24.8% (25.3%). The findings support the idea that the limited attention in beverage choice can be harnessed as a nudge policy to reduce consumers’ intake of sugar from sugar-sweetened beverages. The second chapter estimates the economic impact of South Korea’s targeted responses to the large-scale covid-19 clusters in a highly concentrated business area (Guro) and a highly concentrated entertainment area (Itaewon) in Seoul. The main results are foot traffic and retail sales decreased only within a 300-meter radius of the cluster and recovered to their pre-outbreak level after four weeks in the case of the Guro cluster. However, the adverse economic impacts measured by foot traffic and retail sales of another outbreak of the covid-19 cluster in Itaewon were persistent. The results imply that the effects of less intense but more targeted covid-19 interventions can differ by underlying geographical characteristics. The third chapter investigates whether there has been a heterogeneous change in private tutoring by socioeconomic status (SES) during covid-19 using private education expenditure survey data. After the outbreak of covid-19, all SES groups showed a decrease in the usage rate of private tutoring. However, the lowest SES group showed a larger drop than other groups. Various empirical evidence indicates that income variation and the heterogeneous initial usage status of private tutoring could be possible explanations for the heterogeneous change.본 논문은 현장 실험을 통해 소비자의 음료 선택 문제에 대해 연구하고, 코로나19에 대한 한국 정부의 비약물적 개입에 대한 경제주체들의 반응을 연구한다. 첫 번째 장은 음료 선택 환경에서 소비자의 부주의에 대한 실험적 증거를 제공하고 이론적 틀에서 부주의 정도를 추정한다. 현장 실험에서 음료의 선반 위치가 외생적으로 변경되었다. 추정된 소비자의 눈높이에서 가장 먼 위치에 대한 부주의 정도는 약 20%로 나타났다. 눈높이 (눈높이에서 가장 먼 위치)에 설탕이 적게 (많이) 든 음료를 배치하면 소비자의 수요가 24.8% (25.3%) 증가 (감소) 하는 것이 관찰되었다. 이번 연구 결과는 음료 선택에 대한 제한된 관심이 설탕이 첨가된 음료에서 소비자의 설탕 섭취를 줄이기 위한 건강 정책으로 활용될 수 있다. 두 번째 장에서는 서울의 고도로 집중된 업무 지역 (구로구)과 고도로 집중된 유흥지역 (이태원)에서 코로나19 대규모 집단감염사태에 대한 한국의 집중적인 대응이 경제적 어떠한 영향이 미쳤는지를 확인한다. 주요 결과는 구로사태의 경우 유동인구 및 소매 판매가 반경 300m 이내에서만 감소하고 4주 후에 발병 이전 수준으로 회복되었지만 이태원 사태의 경우 유사한 패턴의 결과를 보였지만 경제적 악영향이 최소 6주까지 지속되었다는 점이다. 이러한 결과는 코로나19 대응 시 지리적 특성을 고려하여 정책을 수행해야 한다는 점을 암시한다. 3장에서는 사교육비 조사 자료를 활용하여 코로나19 기간 동안 사회경제적 지위에 따른 사교육의 이질적인 변화가 있었는지 살펴본다. 코로나19 사태 이후 모든 SES 집단에서 과외 이용률이 감소하는 모습을 보였다. 그러나 가장 낮은 사회계층적 그룹이 다른 그룹보다 더 큰 하락을 보였다. 다양한 실증적 증거에 따르면 소득변동과 이질적인 초기이용상황이 사교육의 이질적인 변화를 설명할 수 있는 것으로 나타났다.Abstract ⅰ Ⅰ. Limited Attention in Beverage Choice: Evidence from a Field Experiment 1 1.1. Introduction 2 1.2. A Simple Inattention Model of Beverage Choice 4 1.3. Experimental Design 6 1.4. Identification Strategy 11 1.5. Results 15 1.6. Conclusion 22 References 25 Appendix 30 Ⅱ. Economic Impact of Targeted Government Responses to COVID-19: Evidence from the Large-scale Clusters in Seoul 37 2.1. Introduction 38 2.2. COVID-19 Situation in South Korea and the Guro Call Center Cluster 42 2.3. Data 44 2.4. Empirical Strategy 46 2.5. Results 48 2.6. Conclusion 59 References 61 Appendix 64 Ⅲ. Heterogeneous Change in Private Tutoring during Covid-19: Evidence from South Korea 78 3.1. Introduction 79 3.2. Covid-19 and Education Policy in South Korea 82 3.3. Conceptual Framework 83 3.4. Data 85 3.5. Heterogeneous Changes in Private Tutoring 86 3.6. Possible Explanations for the Heterogeneous Change 92 3.7. Conclusion 97 References 99 Appendix 104 Abstract in Korean 106 Acknowledgments 108박

An Economic Model for Bioprospecting Contracts

This paper explores the use of a micro-economic model to analyse the provisions and parties of bioprospecting contracts. It focuses on the pharmaceutical industry as the representative biodiversity buyer, presenting an original theoretical framework that explains the main contract characteristics or stylised facts. Against this background, it considers the main contractors involved in these private contracts, i.e. biodiversity sellers and biodiversity buyers, analysing both the magnitude and distribution of the respective payoffs. Particular attention is devoted to the different, mixed impacts of bioprospecting contracts and patenting on social welfare. The positive welfare impacts delivered by bioprospecting contracts are associated with the potential discovery of a new drug product, i.e. productivity gains, non-monetary benefit-sharing or transfers and royalty revenues. The negative welfare impact results from the legal creation of a monopoly and the related well-known effect on the consumer surplus. Finally, the potential redistribution effects are limited, and a potential enforcement of this objective may jeopardise the desirability of the contracts since this action would lead to a significant increase in the transaction costs.Bioprospecting Contract, Genetic Resource, Biodiversity Buyer, Biodiversity Seller, Patenting, Welfare Analysis, Benefit Sharing

Essays in Economics of Digitization

While neoclassical economics implicitly assumes that [perfect] information is widely available to firms and decision makers, the crude reality is that imperfect and asymmetric information is ubiquitous in markets and organizations. In fact, economists have showed that information plays a central role in understanding the determinants of numerous economic outcomes. The rise of information technology in the last decades has dramatically lowered the costs of collecting, using, and passing information, originating the eruption of the Information Age. These three essays contribute to the understanding of the impacts of digitization on the development and functioning of economic institutions. Chapter one studies how a reduction in firm internal communication costs, coming from the adoption of new communication technologies, helps large corporations to achieve higher levels of innovation by overcoming limitations in internal organization. Chapter two evaluates the impact of an unprecedented Big Data information service, that diffused at zero cost by a large bank, provides information about the competitive environment of the firm. This program presents a unique opportunity to study how access to market information might impact small and medium size firms’ performance and strategic decision-making. Results show how adopting establishments are able to increase revenues by (i) targeting unexploited business opportunities and diversifying their customer portfolio, and (ii) streamlining resource allocation. Chapter three analyses the implementation of a driving-restriction policy in the city centre of Madrid known as Madrid Central. By restricting access by car to the ban-affected area, Madrid Central achieved its goal of reducing pollution levels in the city centre. However, this can come at the cost of increasing transportation costs for consumers, and discouraging consumption in the area. Results show how information technology, in the form of e-commerce adoption, allowed establishments in the ban-affected area to weather the situation and compensate the decrease in brick and mortar sales with an increase in online sales

Effectiveness of Social Media Community Using Optimized Clustering Algorithm

Now-a-days social media is used to the introduce new issues and discussion on social media. More number of users participates in the discussion via social media. Different users belong to different kind of groups. Positive and negative comments will be posted by user and they will participate in discussion. Here we proposed system to group different kind of users and system specifies from which category they belong to. For example film industry, politician etc. Once the social media data such as a user messages are parsed and network relationships are identified, data mining techniques can be applied to group of different types of communities. We used K-Means clustering algorithm to cluster data. In this system we detect communities by the clustering messages from large streams of social data. Our proposed algorithm gives better a clustering result and provides a novel use-case of grouping user communities based on their activities. This application is used to the identify group of people who viewed the post and commented on the post. This helps to categorize the users

The need to use Data Mining techniques in E-business

The number of Internet users rose from 400 million in 2000 to just over 2 billion in early 2011. This means that approximately one third of the world's population uses the internet. Taking these conditions into consideration, the way how businesses are designed need to be changed Many companies that, over the last century could not even dream that could have a certain volume of activity or they could face competition with industry giants, have succeeded in giving to enjoy great success. For example: Amazon.com, founded in 1995, had in 1999 a turnover of at least 13 times higher than other prestigious names in the U.S., such as Barnes & Noble and Borders Books & Music. E-business is the key to make life easier for the people. Knowledge of e-business environment is essential for doing business in this century. More must be understood and new technologies applied to extract knowledge from data.data mining, clustering, regresion, asociation rule, e-business