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This paper investigated the effects of exposure to advertising images on quality of life issues. Affordable products and unaffordable products, as well as control images, were presented to participants of the experiment. Subjects' self-esteem, life-satisfaction and materialism were measured using a battery of scales. Results indicated affordable product images did not affect any dependent variables. However, exposure to unaffordable products enhanced, rather than decreased, Chinese students' self-esteem and life-satisfaction, contrary to results found in previous social comparison research. This suggested that Chinese students were rather optimistic about their future and they used future orientation in their prediction of success. Implications of the study were discussed.

Purpose — This chapter illustrates and explains the ambiguity and vagueness of the term social search and aims at describing and classifying the heterogeneous landscape of social search implementations on the WWW.

Methodology/approach — We have looked at different definitions as well as the context of social search by carrying out an extensive literature review, and tried to unify and enhance existing ideas and concepts. Our definition of social search is illustrated by a general review of existing social search engines, which are analyzed and described by their specific features and social aspects.

Findings — The chapter presents a discussion of social search as well as a comparison of existing social search engines.

Social implications — The definition of social search and the comparison of social search engines summarize the many ways people can search the web together and allow for an assessment of future developments in this area.

Originality/value of paper — Although different attempts to define social search have been made in the past, we present an argumentation that unifies some existing definitions and which is different from other interpretations of the social search concept. We present an overview and a comparison of the different genres of social search engines.

In an ever-interconnected world dominated by discourses on the internationalization and marketization of higher education, concerns related to language and employability have been the focus of recent debates. There is, however, a dearth of research investigating how these dimensions relate to one another in recent comparative and international higher education research. By focusing on how issues related to language and employability have been presented in recent higher education research worldwide, this chapter aims to contribute to our understanding of this concern. To achieve this goal, we conducted a scoping literature review using the Web of Science, Scopus, and the Education Resources Information Center (ERIC) databases, considering the years 2011–2020. The findings, perhaps not surprisingly, suggested that language skills are perceived to be valued by both graduates and employers though the discussions predominantly focused on one language, English. The research focus on English for employability in Anglophone contexts is understandable. However, the fact that the trend is observed in contexts where the language is not the primary or official language seems to indicate the influence of internationalization of higher education and global labor markets primarily dominated by English. The literature also suggested that (English) language training in higher education programs needs to move from solely linguistic and qualification-related content areas to a broader sphere of English for communication purposes that cover both specialized disciplinary content and broader generic employability skills. Considering this finding, we suggest that higher education systems and institutions incorporate recent developments in English for occupational purposes in their curriculum. We also recommend that there needs to be a shift from the overwhelmingly English language-dominated discussions to more inclusive research that assesses the impact of other dominant languages on employability-related concerns.

It is possible to see effective use of Artificial Intelligence-based systems in many fields because it easily outperforms traditional solutions or provides solutions for the problems not previously solved. Prediction applications are a widely used mechanism in research because they allow for forecasting of future states. Logical inference mechanisms in the field of Artificial Intelligence allow for faster and more accurate and powerful computation. Machine Learning, which is a sub-field of Artificial Intelligence, has been used as a tool for creating effective solutions for prediction problems.

In this chapter the authors will focus on employing Machine Learning techniques for predicting data for future states of economic using techniques which include Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, Dynamic Boltzmann Machine, Support Vector Machine, Hidden Markov Model, Bayesian Learning on Gaussian process model, Autoregressive Integrated Moving Average, Autoregressive Model (Poggi, Muselli, Notton, Cristofari, & Louche, 2003), and K-Nearest Neighbor Algorithm. Findings revealed positive results in terms of predicting economic data.

Purpose – Informed by Chinese mothers from four villages, the purpose of this chapter is to address the old issue of feminization of family survival, but situated within the landscape of neoliberalism. This study investigates the interplay between Chinese patriarchal values and neoliberal ideas that have shaped the Happiness Project – Action to Aid Impoverished Mothers – an official population control program that has been combined with poverty reduction “Action.”

Methodology – This research began in 2001 in Sichuan Province, Southwest China. Over a period of three years I interviewed 48 women who were participants in the Happiness Project.

Findings – The goal of the Happiness Project is to bring “happiness” to poor mothers through the introduction of microcredit, literacy programs, and the improvement of reproductive health. Three maternal aspects of the Happiness Project, as the study indicates, coincide with three particular patriarchal values. These include an official construction of a good mother image, targeting women's bodies as objects of the state's population control, and reinforcing gender stereotypes through market activity. The findings of this research suggest that feminization of family survival coincided with achieving the goal of the Project. Mothers thus have carried a double burden on behalf of the Chinese state and their families: the goals of declining fertility and increasing family prosperity.

Social implications – Based on this outcome, the study not only calls for reevaluating this “women-only” economic development model, but also calls into question whether bringing Chinese women into public production/market activity is a path to women's emancipation under neoliberalism.