Weaving a Knowledge Web with Wikis

2009 ◽  
pp. 28-45 ◽  
Author(s):  
Kevin R. Parker ◽  
Joseph T. Chao
Keyword(s):  
Information Sharing ◽  
Software Tool ◽  
Social Aspects ◽  
Social Software ◽  
Future Trends ◽  
Software Applications ◽  
The Social ◽  
Basic Concepts ◽  
Collaborative Efforts ◽  
Over Time

This chapter introduces wikis in the context of social software, focusing on their powerful information sharing and collaboration features. It begins by defining the wiki concept and then discussing the evolution of wikis, explaining how they first emerged and how they have evolved over time. The social software aspect of wikis is then analyzed, examining how wikis can engender collaborative efforts. It investigates ways in which wikis help to develop communities of users, and finally some of the features that enhance the appeal of wikis as social software. The authors hope that by examining a software tool that users may have already encountered, that they will be better able to understand the basic concepts and value of social software. Further, as future trends are discussed, it is hoped that readers will be able to see the value of incorporating social aspects into both existing and as yet undeveloped software applications.

Representing and Sharing Tagging Data Using the Social Semantic Cloud of Tags

2010 ◽  
pp. 519-527
Author(s):  
Hak-Lae Kim ◽  
John G. Breslin ◽  
Stefan Decker ◽  
Hong-Gee Kim
Keyword(s):  
Semantic Web ◽  
Web 2.0 ◽  
Web Applications ◽  
Essential Element ◽  
Social Tagging ◽  
Social Software ◽  
Free Text ◽  
Content Creation ◽  
Software Applications ◽  
The Social

Social tagging has become an essential element for Web 2.0 and the emerging Semantic Web applications. With the rise of Web 2.0, websites that provide content creation and sharing features have become extremely popular. These sites allow users to categorize and browse content using tags (i.e., free-text keyword topics). However, the tagging structures or folksonomies created by users and communities are often interlocked with a particular site and cannot be reused in a different system or by a different client. This chapter presents a model for expressing the structure, features, and relations among tags in different Web 2.0 sites. The model, termed the Social Semantic Cloud of Tags (SCOT), allows for the exchange of semantic tag metadata and reuse of tags in various social software applications.

Social Commerce Using Social Network and E-Commerce

2019 ◽  
pp. 327-338
Author(s):  
Roberto Marmo
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Online Shopping ◽  
Social Aspects ◽  
Future Trends ◽  
Social Commerce ◽  
Critical Factors ◽  
The Social ◽  
Online Buying

While traditional e-commerce supports the transactional and informational aspects of online shopping, social commerce fulfils the social aspects of shopping. Combining the advantages offered by social networking and e-commerce, it is possible to create a web business platform to generate and increase revenue by turning web visitors into customers. Social commerce involves social media and user contributions to assist in the online buying and selling of products and services to design and deliver better customer experiences with the help of technology. This chapter compares some technologies that can help define social commerce and social networking; it also discusses background, knowledge, challenges, and critical factors necessary for successful social commerce business. Future trends are illustrated.

Consumer Information Sharing

2010 ◽  
pp. 676-682 ◽  
Author(s):  
Jonathan Foster ◽  
Angela Lin
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Online Reviews ◽  
Consumer Information ◽  
Product Reviews ◽  
Purchasing Decisions ◽  
Life Project ◽  
Software Applications ◽  
The Social ◽  
Other Consumers

One area of e-business that has visibly changed in the last few years is the capacity of the Internet for supporting consumer-to-consumer information sharing. By using a variety of social media software applications such as online reviews, blogs, social tagging, and wikis, consumers are increasingly able to generate and share content about the products and services that are available in the marketplace. Collectively the labor expended by consumers in generating such content is considerable, influencing other consumers’ perceptions of these products and services and informing their purchasing decisions. It has been estimated for example that more than 5 million customers have reviewed products on the Amazon.com site, with many more making purchasing decisions informed by reading such reviews (Amazon, 2008). According to the findings of a recent Pew Internet & American Life Project survey, consumer generated information sources such as product reviews and blogs are also considered equally as important as commercial information, e.g. manufacturers’ specifications, when making a purchasing decision (Horrigan, 2008). This article aims to provide an up-to-date review of the practice of consumer information sharing. First the different kinds of information sought by consumers are identified; second the social media software applications that consumers use to create, organize and share information with other consumers are discussed; and finally consideration is given to the marketing implications of consumer information sharing and how e-businesses can utilize social media for developing and managing relations with their customers.

scholarly journals Innovations. Market and Social Aspects

2020 ◽  
Vol 4 (349) ◽  
pp. 107-127
Author(s):  
Urszula Ornarowicz
Keyword(s):  
Social Innovation ◽  
Virtual Space ◽  
Social Aspects ◽  
Social Aspect ◽  
Market Exchange ◽  
Social Production ◽  
The Social ◽  
Social Innovations ◽  
Over Time

Areas of research in economics and management science become increasingly close – they overlap and become very similar. New events, new products of people’s actions, new patterns of behaviour arise with a pace unknown before. Institutionalisation of these phenomena aimed at their broad codification also takes on new forms. We live in an age of ubiquitous innovativeness. Naturally, the question arises: should innovations be perceived in the same way as in the past? Are there any new types of innovations that have appeared lately? Are the current definitions of market and social innovations still up to date? The aim of the article is to present a change in approach to innovations over time, with particular focus on their market and social aspects. The author attempts to answer the following questions: how did technological progress visible in the networking of economy influence the understanding of social innovations, what is the role of social production and exchange which replace gradually market exchange, in the social innovation definition, to what extent is the cooperation within a community in the virtual space characteristic of a special class of social innovation? The research method used by the author is based on literature studies on innovations and on the economics of cooperation (access, sharing, co‑use). It comprises an analysis of different concepts of innovation, in particular different definitions of the name, an analysis of different approaches to cooperation economics, comparisons of the obtained results, and conclusions formulation. The approach to innovation changes over time – from a technical, social and market approach to a differently understood today social approach. Contemporary, the criteria for innovation “society” are different. The understanding of innovation is influenced by the increased role of social production and exchange at the expense of market exchange. The networking of the information economy significantly strengthens the social aspect of innovation. Cooperation within a community, including co‑creation of goods, access to them, their co‑use and sharing, is an extreme example of the advantage of the social dimension of innovation over its market aspect.

OPPORTUNITIES AND RISKS OF A SOCIAL NETWORK IN MARKETING

2020 ◽  
Author(s):  
Alexander Viktorovich Melnikov ◽  
◽  
Yulia Adolfovna, Kosikova ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Rapid Growth ◽  
Instant Messaging ◽  
Social Software ◽  
The Internet ◽  
Customer Needs ◽  
Software Applications ◽  
The Social ◽  
Convergence Of Technologies

The Most well - known social software applications are blogs, wikis, social networks, and instant messaging. The social network is described as a convergence of technologies, which means that individuals can easily communicate, select information, and form new communities on the Internet. The rapid growth of social networks is forcing companies to step up their activities in traditional CRM systems. One of the important advantages of the Internet is the creation of an active contact between stakeholders, making it easier for businesses to get feedback from their customers, which allows them to more effectively identify customer needs and develop corrective actions.

scholarly journals Reuse, temporal dynamics, interest sharing, and collaboration in social tagging systems

First Monday ◽  
2014 ◽  
Author(s):  
Elizeu Santos-Neto ◽  
David Condon ◽  
Nazareno Andrade ◽  
Adriana Iamnitchi ◽  
Matei Ripeanu
Keyword(s):  
Temporal Dynamics ◽  
Discussion Groups ◽  
User Generated Content ◽  
Social Aspects ◽  
Collaborative Tagging ◽  
Collaborative Behavior ◽  
The Social ◽  
The Relationship ◽  
Over Time

User–generated content shapes the dynamics of the World Wide Web. In particular, collaborative tagging represents a simple, yet powerful, feature that enables users to share and collaboratively annotate content such as photos and URLs. This collaborative behavior and the pool of user–generated metadata create opportunities to improve existing systems and to design new mechanisms. However, to realize this potential, it is necessary to first understand the usage characteristics of current systems.This work addresses this issue by characterizing three tagging systems (CiteULike, Connotea and del.icio.us) while focusing on three aspects: i) the patterns of information (tags and items) production; ii) the temporal dynamics of users’ tag vocabularies; and, iii) the social aspects of tagging systems. The analysis of the patterns of information production shows that users publish new content more often than they annotate already existing content in the system. The opposite, however, occurs for tags; the level of tag reuse is much higher. The study of the temporal dynamics of user vocabularies shows that the growth rate of tag vocabularies across the user population over time decreases at early ages, stabilizes, and returns to increase for older users. Moreover, a closer look into the change of vocabulary contents over time shows that despite the fact that tag vocabularies are slowly growing in size with user age, the relative frequency in which each tag is used converges relatively quickly in a users lifetime. Finally, the characterization of social aspects of tagging unveils the relationship between the implicit user ties, as inferred from the similarity between users’ activity, and their explicit social ties, as represented by co–membership in discussion groups or semantic similarity between tag vocabularies.

Representing and Sharing Tagging Data Using the Social Semantic Cloud of Tags

2010 ◽  
pp. 1788-1796
Author(s):  
Hak-Lae Kim ◽  
John G. Breslin ◽  
Stefan Decker ◽  
Hong-Gee Kim
Keyword(s):  
Semantic Web ◽  
Web 2.0 ◽  
Web Applications ◽  
Essential Element ◽  
Social Tagging ◽  
Social Software ◽  
Free Text ◽  
Content Creation ◽  
Software Applications ◽  
The Social

Social tagging has become an essential element for Web 2.0 and the emerging Semantic Web applications. With the rise of Web 2.0, websites that provide content creation and sharing features have become extremely popular. These sites allow users to categorize and browse content using tags (i.e., free-text keyword topics). However, the tagging structures or folksonomies created by users and communities are often interlocked with a particular site and cannot be reused in a different system or by a different client. This chapter presents a model for expressing the structure, features, and relations among tags in different Web 2.0 sites. The model, termed the social semantic cloud of tags (SCOT), allows for the exchange of semantic tag metadata and reuse of tags in various social software applications.

Web 2.0 Concepts, Social Software and Business Models

2010 ◽  
pp. 1183-1192 ◽  
Author(s):  
Matthes Fleck ◽  
Andrea von Kaenel ◽  
Miriam Meckel
Keyword(s):  
Web 2.0 ◽  
Virtual Worlds ◽  
Business Models ◽  
Social Network Sites ◽  
Social Software ◽  
Future Research ◽  
Software Applications ◽  
Seven Principles ◽  
The Social ◽  
Future Research Directions

This article provides an overview of the most prominent definitions, basic concepts and applications of the term Web 2.0. In addition to the seven principles outlined by O`Reilly, this article will investigate Anderson’s long tail concept, issues of transparency and the effects of an interconnected user base on E-Business. Later, the focus will shift from the concepts of Web 2.0 towards the social software applications of this new Web era. Blogs, social network sites, wikis, folksonomies and virtual worlds will be explained and their (potential) relevance to e-business will be outlined. The article closes with a brief discussion about the future research directions of Web 2.0 for successful E-Business.

Consumer Information Sharing

2011 ◽  
pp. 1570-1576
Author(s):  
Jonathan Foster ◽  
Angela Lin
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Online Reviews ◽  
Consumer Information ◽  
Product Reviews ◽  
Purchasing Decisions ◽  
Life Project ◽  
Software Applications ◽  
The Social ◽  
Other Consumers

One area of e-business that has visibly changed in the last few years is the capacity of the Internet for supporting consumer-to-consumer information sharing. By using a variety of social media software applications such as online reviews, blogs, social tagging, and wikis, consumers are increasingly able to generate and share content about the products and services that are available in the marketplace. Collectively the labor expended by consumers in generating such content is considerable, influencing other consumers’ perceptions of these products and services and informing their purchasing decisions. It has been estimated for example that more than 5 million customers have reviewed products on the Amazon.com site, with many more making purchasing decisions informed by reading such reviews (Amazon, 2008). According to the findings of a recent Pew Internet & American Life Project survey, consumer generated information sources such as product reviews and blogs are also considered equally as important as commercial information, e.g. manufacturers’ specifications, when making a purchasing decision (Horrigan, 2008). This article aims to provide an up-to-date review of the practice of consumer information sharing. First the different kinds of information sought by consumers are identified; second the social media software applications that consumers use to create, organize and share information with other consumers are discussed; and finally consideration is given to the marketing implications of consumer information sharing and how e-businesses can utilize social media for developing and managing relations with their customers.

Social transmission bias and the cultural evolution of folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
David Hirshleifer ◽  
Siew Hong Teoh
Keyword(s):  
Cultural Evolution ◽  
Social Transmission ◽  
Cognitive Approach ◽  
Economic Problems ◽  
Economic Attitudes ◽  
The Social ◽  
Economic Beliefs ◽  
Over Time

AbstractEvolved dispositions influence, but do not determine, how people think about economic problems. The evolutionary cognitive approach offers important insights but underweights the social transmission of ideas as a level of explanation. The need for asocialexplanation for the evolution of economic attitudes is evidenced, for example, by immense variations in folk-economic beliefs over time and across individuals.

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