Research collaboration is a critical enabler for scientific knowledge production and innovation but poses significant challenges, particularly if it is carried out in a distributed and geographically dispersed fashion. Jens-Henrik Soeldner investigates how social research networking sites can help make scientific collaboration in management research more productive and successful. The author builds on a comprehensive literature review and two empirical studies to elucidate how social research networking sites can be leveraged for various research-related tasks.

Understanding Media, Today. McLuhan in the Era of Convergence Culture

This book explores and analyzes influential predictors and the underlying mechanisms of individual content sharing/retweeting behavior on social networking sites (SNS) from an empirical perspective. Since Individual content sharing/ retweeting behavior expedites information dissemination, it is a critical mechanism of information diffusion on Twitter. Individual sharing/retweeting behavior does not appear to happen randomly. So, what factors lead to individual information dissemination behavior? What are the dominating predictors? How does the recipient make retweeting decisions? How do these influential predictors combine and by what mechanism do they influence an individual’s retweeting decisions? Furthermore, are there any differences in the process of individual retweeting decisions? If so, what causes such differences? In order to answer these previously unexplored questions and gain a holistic view of individual retweeting behavior, the authors examined people’s retweeting history on Twitter and obtained a real dataset containing more than 60 million Twitter posts. They then employed text mining and natural language processing techniques to extract useful information from social media content, and used various feature selection methods to identify a subset of salient features that have substantial effects on individual retweeting behavior. Lastly, they applied the Elaboration Likelihood Model to build an overarching theoretical framework to reveal the underlying mechanisms of individual retweeting behavior. Given its scope, this book will appeal to researchers interested in investigating information dissemination on social media, as well as to marketers and administrators who plan to use social networking sites as an important avenue for information dissemination.

If you′re a first-time researcher, this book covers everything you need to successfully complete your business research project, increase your employability and develop transferable skills.

As one of the few teaching books that looks at fieldwork in the broadest of contexts, this book provides a strong foundation in the fundamentals of fieldwork within social research. It not only teaches theory but puts into practice planning, designing, conducting and sharing social research.

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.

In the globalization era, social media become more popular in everyone's daily life with its user friendly and effective functions. Social media support the people across the world in communicating, meeting new people, making socialization, sharing knowledge, learning different experiences and interacting with each other instead of distance and separation between persons. Moreover, social media can encourage the increasing of intercultural adaptation level of people who are facing different cultural experiences in new communities. The study shows that people use social media to become more adaptable with the new cultures of the host countries and to preserve their connections with home countries.

Based on multiple surveys, the present book gives valuable insights into the factors driving Social Network Site usage behavior for both practitioners and academics. By empirically evaluating multiple influence factors, it contributes to the current body of knowledge on Social Network Site usage behavior and provides multiple practical implications for Social Network Site service providers, advertisers, etc.

Social Networking: Redefining Communication in the Digital Age fulfills a pressing demand in social network literature by bringing together international experts from the fields of communication, new media technologies, marketing and advertising, public relations and journalism, business, and education. In this volume contributors traces online social networking practices across national borders, cultural confines, and geographic limits. The book delves into the socioeconomic, political, cultural, and professional dimensions of social networking around the globe, and explores the similarities, distinctions, and specific characteristics of social media networks in diverse settings. The chapters offer an important contribution to the scholarly research on the uses and applications of online social networking around the world and pertain to a broad range of academic fields. Overall, the volume addresses a subject matter of keen interest to academics and practitioners alike and provides a much-needed forum for sharing innovative research practices and exchanging new ideas.

Criminological research lies at the heart of criminological theory, influences social policy development, as well as informs criminal justice practice. The ability to collect, analyse and present empirical data is a core skill every student of criminology must learn. Written as an engaging step-by-step guide and illustrated by detailed case studies, this book guides the reader in how to analyse criminological data. Key features of the book include: o Guidance on how to identify a research topic, designing a research study, accounting for the role of the researcher and writing up and presenting research findings. o A thorough account of the development of qualitative and quantitative research methodologies and data analysis within the field of criminology. o Relevant and up-to-date case studies, drawn from internationally published criminological research sources. o Clear and accessible chapter content supported by helpful introductions, concise summaries, self-study questions and suggestions for further reading. Understanding Criminological Research: A Guide to Data Analysis in invaluable reading for both undergraduate and postgraduate students in criminology and criminal justice.