Advances in E-Business Research Series

Although the crowdfunding (CF) sector is booming, research focusing on motivation of contributors is mainly exploratory and does not propose an analytical model. This chapter aims to propose a typology of differentiated motivations according to the type of CF. The main results, authentic compared to the existing literature, show that types of motivation are not the same depending on the type of CF considered. These findings provide significant practical guidelines for three major actors of a CF process: CF platforms must communicate according to the segmentation resulting from the respective predominant motivations. Project leaders should go beyond the simple utility and inform contributors according to the life of the project and its segmentation and the required technical tools of contribution. Contributors share personal ties and observe how the projects succeed regarding loan with interest; therefore, certain motivations, found in this research, such as pleasure of contributing, living experiences, and supporting creators should not be put forward in all the CF campaigns.

Laurence Attuel-Mendes

Djamchid Assadi

Silsa Raymond

Multidisciplinary Approaches to Crowdfunding Platforms

Investors' Motivations in Different Types of Crowdfunding

不同类型众筹中投资者的动机

The aim of this research is to provide theoretical insights into effectively managing complaints made by businesses and brands on digital platforms. In this context, the authors first explain the consumer complaint process in the digital environment. Following that, they provide guidance on how businesses should handle these complaints. Managing complaints is crucial for fostering satisfied and loyal consumers. To this end, the authors provide a detailed breakdown of each step in the complaint resolution process, including deciding on a complaint resolution strategy, collecting complaints, reviewing complaints, resolving complaints, acquiring customers, and conducting a comprehensive analysis of complaints. Briefly, they outline the procedures that businesses should establish for complaint resolution, how they should go about resolving complaints, and how to analyze complaints using cause-and-effect relationships. The research will also feature practical examples from digital platforms, and the authors examine the findings of relevant studies on this topic.

Talha Bayır

Sezen Bozyiğit

Digital Business and Optimizing Operating Strategies

Consumer Complaints Management in the Digital Era

数字化时代的消费者投诉管理

The objective of this chapter is to present brief literature and new results of research in privacy-preserving data mining as an important privacy issue in the e-business area. The chapter focuses on classification problems in business analytics, where the enterprises can gain large profit using predicted results by classification. The decision tree is a well-known classification technique, and its modification by the Randomized Response technique is described for privacy-preserving data mining. This algorithm is developed for all types of attributes. The largest contribution of this chapter is a new method, so called Random Response Forest, consisting of many decision trees and a randomization technique. Random Response Forest is similar to Random Forest, but it is able to solve privacy problems. This consists of many shallow trees, where a shallow tree is a special decision tree with a Randomized Response technique, and the precision of Random Response Forest is better than at a tree.

Gábor Szucs

Research and Development in E-Business through Service-Oriented Solutions

Decision Trees and Random Forest for Privacy-Preserving Data Mining

用于隐私保护数据挖掘的决策树和随机森林

Organizations continuously strive to engage customers in the services development process. The Social Web facilitates this process by enabling novel channels for voluntary feedback sharing through social media and technologically advanced environments. This chapter explores how social influence design principles can enhance the effectiveness of socio-technical systems designed to alter human behavior with respect to sharing feedback. Drawing upon social science theories, this chapter develops a research framework that identifies social influence design principles pertinent to persuasive systems that facilitate user engagement in feedback sharing. The design principles are then implemented in an information system and their effects on feedback sharing are explored in an experimental setting. The main findings of this chapter contribute to research related to social influences on user behavior and to the practice of designing persuasive information systems.

Agnis Stibe

Harri Oinas-Kukkonen

Advances in E-Business Research

User Engagement in Feedback Sharing through Social Influence

通过社会影响进行反馈分享中的用户参与

This chapter reviews some of the major business applications of social media and discusses how social media applications are used to support business model improvement. Social media offers business organizations an array of innovative ways to interact with their employees, customers, partners, and other stakeholders. Consumers have easy ways of interacting with companies and their employees in real time with various social media embedded devices. Managers are realizing that social media affects a wide spectrum of business activities from building product or brand awareness to after-sales services. Therefore, it is crucial for companies to analyze their social media applications, develop a plan to continually monitor their advancements, and quickly respond to the social media needs of customers. For practitioners, this chapter provides managerial guidelines for social media applications for business model improvement.

In Lee

Integrating Social Media into Business Practice, Applications, Management, and Models

Social Media for Business Model Improvement

社交媒体在商业模式改进中的应用

出版信息	出版商: IGI Global Publishing，出版周期: ，期刊类型: book-series，开源期刊: 否
基本数据	创刊年份: 2018，原创研究文献占比: ，自引率:， Gold OA占比:

Advances in E-Business Research Series

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Investors' Motivations in Different Types of Crowdfunding

Consumer Complaints Management in the Digital Era

Decision Trees and Random Forest for Privacy-Preserving Data Mining

User Engagement in Feedback Sharing through Social Influence

Social Media for Business Model Improvement

Consumer Complaints Management in the Digital Era

Investors' Motivations in Different Types of Crowdfunding

User Engagement in Feedback Sharing through Social Influence

Social Media for Business Model Improvement

Decision Trees and Random Forest for Privacy-Preserving Data Mining