The ‘situated functionality’ of accounting in private equity practices:a social ‘site’ analysis

This paper contributes to the recent ‘practice turn’ in management accounting literature in two ways: (1) by investigating the meshing and consequently the ‘situated functionality’ of accounting in various private equity (PE) practices, and (2) by experimenting with the application of Schatzki’s ‘site’ ontology. By identifying and describing the role and nature of accounting and associated calculative practices in different parts of the PE value chain, we note that the ‘situated functionality’ of accounting is ‘prefigured’ by its ‘dispersed’ nature. A particular contribution of experimenting with Schatzki’s ‘site’ ontology has been to identify theoretical concerns in relation to the meaning and role of the concept ‘general understandings’ and to clarify the definitional issues surrounding this concept. We also identify the close relationship between ‘general understandings’ and ‘teleoaffective structure’ and note their mutually constitutive nature.

Word of mouth communication within online communities:conceptualizing the online social network

Word of mouth (WOM) communication is a major part of online consumer interactions, particularly within the environment of online communities. Nevertheless, existing (offline) theory may be inappropriate to describe online WOM and its influence on evaluation and purchase.The authors report the results of a two-stage study aimed at investigating online WOM: a set of in-depth qualitative interviews followed by a social network analysis of a single online community. Combined, the results provide strong evidence that individuals behave as if Web sites themselves are primary "actors" in online social networks and that online communities can act as a social proxy for individual identification. The authors offer a conceptualization of online social networks which takes the Web site into account as an actor, an initial exploration of the concept of a consumer-Web site relationship, and a conceptual model of the online interaction and information evaluation process. © 2007 Wiley Periodicals, Inc. and Direct Marketing Educational Foundation, Inc.

Autochthonous heritage languages and social media:writing and bilingual practices in Low German on Facebook

This article analyses how speakers of an autochthonous heritage language (AHL) make use of digital media, through the example of Low German, a regional language used by a decreasing number of speakers mainly in northern Germany. The focus of the analysis is on Web 2.0 and its interactive potential for individual speakers. The study therefore examines linguistic practices on the social network site Facebook, with special emphasis on language choice, bilingual practices and writing in the autochthonous heritage language. The findings suggest that social network sites such as Facebook have the potential to provide new mediatized spaces for speakers of an AHL that can instigate sociolinguistic change.

Theorizing accounting and other [calculative] practices in private equity:Experimenting with Schatzki’s ‘site’ ontology

This thesis contributes to social studies of finance and accounting (Vollmer, Mennicken, & Preda, 2009) and the practice theory literatures (Feldman & Orlikowski, 2011) by experimenting (Baxter & Chua, 2008) with concepts developed by Theodore Schatzki and demonstrating their relevance and usefulness in theorizing and explaining accounting and other organizational phenomena. Influenced by Schatzki, I have undertaken a sociological investigation of the practices, arrangements, and nexuses forming (part of) the social ‘site’ of private equity (PE). I have examined and explained the organization of practices within the PE industry. More specifically, I have sought to throw light on the practice organizations animating various PE practices. I have problematized a particular aspect of Schatzki’s practice organization framework: ‘general understanding’, which has so far been poorly understood and taken for granted in the accounting literature. I have tried to further explore the concept to clarify important definitional issues surrounding its empirical application. In investigating the forms of accounting and control practices in PE firms and how they link with other practices forming part of the ‘site’, I have sought to explain how the ‘situated functionality’ of accounting is ‘prefigured’ by its ‘dispersed’ nature. In doing so, this thesis addresses the recent calls for research on accounting and control practices within financial services firms. This thesis contributes to the social studies of finance and accounting literature also by opening the blackbox of investment [e]valuation practices prevalent in the PE industry. I theorize the due diligence of PE funds as a complex of linked calculative practices and bring to fore the important aspects of ‘practical intelligibility’ of the investment professionals undertaking investment evaluation. I also identify and differentiate the ‘causal’ and ‘prefigurational’ relations between investment evaluation practices and the material entities ‘constituting’ those practices. Moreover, I demonstrate the role of practice memory in those practices. Finally, the thesis also contributes to the practice theory literature by identifying and attempting to clarify and/or improve the poorly defined and/or underdeveloped concepts of Schatzki’s ‘site’ ontology framework.

Exploring demographic information in social media for product recommendation

In many e-commerce Web sites, product recommendation is essential to improve user experience and boost sales. Most existing product recommender systems rely on historical transaction records or Web-site-browsing history of consumers in order to accurately predict online users’ preferences for product recommendation. As such, they are constrained by limited information available on specific e-commerce Web sites. With the prolific use of social media platforms, it now becomes possible to extract product demographics from online product reviews and social networks built from microblogs. Moreover, users’ public profiles available on social media often reveal their demographic attributes such as age, gender, and education. In this paper, we propose to leverage the demographic information of both products and users extracted from social media for product recommendation. In specific, we frame recommendation as a learning to rank problem which takes as input the features derived from both product and user demographics. An ensemble method based on the gradient-boosting regression trees is extended to make it suitable for our recommendation task. We have conducted extensive experiments to obtain both quantitative and qualitative evaluation results. Moreover, we have also conducted a user study to gauge the performance of our proposed recommender system in a real-world deployment. All the results show that our system is more effective in generating recommendation results better matching users’ preferences than the competitive baselines.

Connecting social media to e-commerce:cold-start product recommendation using microblogging information

In recent years, the boundaries between e-commerce and social networking have become increasingly blurred. Many e-commerce websites support the mechanism of social login where users can sign on the websites using their social network identities such as their Facebook or Twitter accounts. Users can also post their newly purchased products on microblogs with links to the e-commerce product web pages. In this paper, we propose a novel solution for cross-site cold-start product recommendation, which aims to recommend products from e-commerce websites to users at social networking sites in 'cold-start' situations, a problem which has rarely been explored before. A major challenge is how to leverage knowledge extracted from social networking sites for cross-site cold-start product recommendation. We propose to use the linked users across social networking sites and e-commerce websites (users who have social networking accounts and have made purchases on e-commerce websites) as a bridge to map users' social networking features to another feature representation for product recommendation. In specific, we propose learning both users' and products' feature representations (called user embeddings and product embeddings, respectively) from data collected from e-commerce websites using recurrent neural networks and then apply a modified gradient boosting trees method to transform users' social networking features into user embeddings. We then develop a feature-based matrix factorization approach which can leverage the learnt user embeddings for cold-start product recommendation. Experimental results on a large dataset constructed from the largest Chinese microblogging service Sina Weibo and the largest Chinese B2C e-commerce website JingDong have shown the effectiveness of our proposed framework.