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This study takes the position that the vitality of academic libraries is grounded in the working experiences of its librarians. It suggests that a full understanding of problems facing contemporary information professionals in the post-industrial workplace requires an analysis of the labouring aspects as well as the professional nature of their work. The study of changes in the academic library work experience thus depicts the state of the library, and has implications for other intellectual workers in a social environment characterized by expanding information technologies, constricted economic resources, and the globalization of information production. Academic librarians have long recognized that their vocation lies not only in the classical role in information collection, organization, and dissemination, but also in collaboration with faculty in the teaching and research process, and in the contribution to university governance. They are becoming increasingly active in the protection of information access and assurance of information quality in view of information degradation on the Internet and various compromises necessitated by interaction with third party commercial information producers.

Putting together a volume of Advances is an interesting effort that combines a little planning and a lot of serendipity. In the years that we have been editing this annual, Ed Garten and I have spent considerable time searching through tools like Dissertation Abstracts for research studies of interest, tracking people who are doing interesting work, and commissioning articles in contemporary areas of interest. But, as often as not, some of the best of our articles have come about as a result of a chance meeting at a conference, a consulting gig, a conversation with a colleague, or some other happenstance. The papers included here are no different, reflecting both heavy scholarship and more practical information about how we as a profession administer our libraries, the programs we offer, and the work we do. As in past volumes, the context is international in scope, and the strength of the volume may be that it reinforces the idea that, while libraries (and other organizations) in Sweden, Thailand, Canada, South Africa and the United States are very different, the challenges faced and techniques used by managers are not. As a result, we the editors present these articles to you in hopes that they provide some grist for the mill as you try to bring order to your part of the world.

In this chapter, we apply diffusion of innovation theory and the theory of management fashion to examine the diffusion trajectory of human resource (HR) analytics in a U.S. context. We focus on the role mass media plays in influencing the diffusion process and address two research questions. First, does the mass media on HR analytics make observable the positive outcomes of HR analytics and is this related to increasing HR analytics adoption over time? Second, does the mass media on HR analytics show evidence of management trendsetting rhetoric?

We analyze published popular trade, business press, and peer-reviewed academic articles over a decade using a big data discourse analytical technique, natural language processing.

We find preliminary evidence that suggests that although the media has broadcasted positive outcomes of HR analytics, adoption has tailed off. In concert with the tailing off of HR analytic adoptions, the media appears to be recasting HR analytics as solving newer problems such as managing talent. Whether this shift makes a difference has yet to be determined.

Business press appears to influence the adoption process, both by broadcasting positive outcomes and through creating management fashion trendsetting rhetoric.

To promote the use of HR analytics, academic institutions and the HR profession need to train HR professionals in the use and benefits of HR analytics.

We lay the groundwork to improve our understanding of the role media plays in influencing how new HRM practices spread across organizations. We introduce the application of an emerging big data analytic technique, natural language processing, to analyze published media on HR analytics.

With the rising of “religious fever” in China rural area, the authors inquire the reason why it happened. First, the authors explore the group characteristics which could affect both happiness and the religion belief of Chinese rural elderly. The authors analyze the micro-data of “thousand village surveys” data of Shanghai University of Finance and Economics by using Order Logit and Propensity Score Matching (PSM) method. These results show that when the elderly people have the following features related to health such as: feeling psychological loneliness, not obtaining the good management of chronic disease in the village, and not being participated in new rural cooperative medical system are more likely to believe in religious in the rural areas. And the authors also find these Chinese rural elderlies who believe in religion are less happy than atheism elderly actually (by PSM). Believing in religion is not the solution and maybe the way these elderly resorts to when they encounter health problem.