Linked Data Supported Content Analysis for Sociology

Philology and hermeneutics as the analysis and interpretation of natural language text in written historical sources are the predecessors of modern content analysis and date back already to antiquity. In empirical social sciences, especially in sociology, content analysis provides valuable insights to social structures and cultural norms of the present and past. With the ever growing amount of text on the web to analyze, also numerous computer-assisted text analysis techniques and tools were developed in sociological research. However, existing methods often go without sufficient standardization. As a consequence, sociological text analysis is lacking transparency, reproducibility and data re-usability. The goal of this paper is to show, how Linked Data principles and Entity Linking techniques can be used to structure, publish and analyze natural language text for sociological research to tackle these shortcomings. This is achieved on the use case of constitutional text documents of the Netherlands from 1884 to 2016 which represent an important contribution to the European cultural heritage. Finally, the generated data is made available and re-usable as Linked Data not only for sociologists, but also for all other researchers in the digital humanities domain interested in the development of constitutions in the Netherlands

Determinants of consumers’ intentions to share knowledge and intentions to purchase on s-commerce sites: incorporating attitudes toward persuasion attempts into a social exchange model

This research explores s-commerce users’ intentions to purchase and to share knowledge by incorporating ‘attitudes toward persuasion attempts,’ ‘ease of use,’ and ‘perceived usefulness’ into a social exchange theory model. A survey using an on-site purposive sampling technique was used to recruit the respondents, and an interception technique was used to approach the consumers. A total of 471 Korean consumers participated in this research. Based on 471 Korean social-commerce users, our results reveal that social exchange belief factors and a site’s usability affect user satisfaction, which subsequently affects users’ intentions to purchase and to share knowledge. In addition, attitudes toward persuasion attempts moderate the effect of satisfaction on users’ purchase intentions. Keywords: social exchange theory, attitudes toward persuasion attempts, intention to share knowledge, social exchange belief

The social dimension of mobile commerce – engaging customers through group purchase

Social commerce and mobile commerce have become increasingly popular in recent years because they enhance customer’s shopping process and increase businesses’ revenue. However, the extant literature does not prescribe sufficient design guidelines for implementing social commerce in a mobile commerce context. This research draws on the idea of group purchase to inject an element of social commerce into mobile commerce. A set of mobile commerce design features is carefully contrived to support group purchase in a process that maximizes social interaction among customers and their shopping partners. This could potentially increase user engagement with the mobile commerce application and encourage customer loyalty and repeated purchase

Investigating the Impact of Social Media Commerce Constructs on Social Trust and Customer Value Co-creation: A Theoretical Analysis

Social media commerce has been one of the fastest-growing areas over recent years. However, only a limited number of studies have addressed the related issues of social media commerce. It was also noticed that extant literature did not explore or link the impact of social commerce constructs on social trust and how this could impact the customer value co-creation. Hence, the current research aims to identify this gap and to propose a conceptual framework that highlights the linkage between social commerce constructs, social trust, and customer value co-creation. In line with this, a number of exploratory interviews were conducted to gain further understanding about how the customer’s perception of customer value co-creation and social trust could be affected by the role of social commerce. Accordingly, the current model proposes that social commerce constructs (second-order; ratings and reviews, recommendations and referrals, and forums and communities) impact social trust, which in turn affects customer value co-creation dimensions (functional value, hedonic value, and social value) in social network sites (SNSs). Theoretical and practical implications are provided