知识管理

知识管理(knowledge management)是为企业实现显性知识和隐性知识共享提供新的途径,换句话说,知识管理就是利用集体的智慧提出企业的应变和创新能力。在这个"信息社会",要想把企业做大做强,知识管理绝对是每个企业都必须重视的"软实力"。     

Analyzing Cataloging Job Descriptions: Are Cataloging Jobs Disappearing,Changing, or Merging?

Abstract

To determine the state of the cataloging job market, this study compares job advertisements from August 2016-August 2018 advertising for jobs with cataloging in the title, metadata in the title, and cataloging and metadata in the title. Given ongoing concerns about the impact of metadata jobs on the cataloging job market, this study asks the questions: Are cataloging jobs in fact “disappearing” and becoming metadata jobs? Are entry-level jobs disappearing, perhaps contributing to the idea that there is a lack of qualified catalogers? Is there a difference in position level between cataloging and metadata job advertisements that can account for a lack or perceived lack of available cataloging jobs? Are there more entry-level or mid/supervisory positions advertised? Are cataloging and metadata jobs really separate, or should they be considered one position called cataloging and metadata?     

Center Stage: Performing a Needs Assessment of Campus Research Centers and Institutes

Outreach to research centers and institutes is often overlooked in academic libraries. This article discusses a needs assessment conducted by the Liaison Services Department at the University of Houston Libraries that reviewed library services to centers and institutes at the University of Houston's main campus. The assessment was conducted for two purposes: to build collaborations with centers and to determine how the libraries might create new services and/or market existing services to meet the centers and institutes' growing research needs.     

The Big-fish–little-pond-effect Stands Up to Critical Scrutiny: Implications for Theory, Methodology, and Future Research

The big-fish–little-pond effect (BFLPE) predicts that equally able students have lower academic self-concepts (ASCs) when attending schools where the average ability levels of classmates is high, and higher ASCs when attending schools where the school-average ability is low. BFLPE findings are remarkably robust, generalizing over a wide variety of different individual student and contextual level characteristics, settings, countries, long-term follow-ups, and research designs. Because of the importance of ASC in predicting future achievement, coursework selection, and educational attainment, the results have important implications for the way in which schools are organized (e.g., tracking, ability grouping, academically selective schools, and gifted education programs). In response to Dai and Rinn (Educ. Psychol. Rev., 2008), we summarize the theoretical model underlying the BFLPE, minimal conditions for testing the BFLPE, support for its robust generalizability, its relation to social comparison theory, and recent research extending previous implications, demonstrating that the BFLPE stands up to scrutiny. Quotations (associated page numbers) to the Dai and Rinn (2008) article are based on a prepublication version of the article available to the authors of this article that may have changed during the final preparation for publication. The authors would also like to express thanks to David Dai and Anne Rinn for their encouragement and assistance to us in preparation of our article, whilst still acknowledging that they might not agree will all the views expressed here.     

Double your major,double your return?

We use the 2003 National Survey of College Graduates to provide the first estimates of the effect on earnings of having a double major. Overall, double majoring increases earnings by 2.3% relative to having a single major among college graduates without graduate degrees. Most of the gains from having a double major come from choosing fields across two different major categories. Graduates who combine an arts, humanities or social science major with a major in business, engineering, science or math have returns 7–50% higher than graduates with a single major in arts, humanities or social science. But such double major combinations have returns no higher than single majors in business, engineering, science or math. Majors combining business and science or math have returns more than 50% greater than the returns to having a single major in these fields.