scholarly journals The Academic Library Job Market: A Content Analysis Comparing Public and Technical Services

1992 ◽  
Vol 53 (1) ◽  
pp. 49-59 ◽  
Author(s):  
David W. Reser ◽  
Anita P. Schuneman
2000 ◽  
Vol 61 (4) ◽  
pp. 336-347 ◽  
Author(s):  
Penny M. Beile ◽  
Megan M. Adams

Nine hundred job announcements published in four journals in 1996 were examined using content analysis to compare requirements and benefits among various positions in academic libraries. This study updates the article “The Academic Library Job Market: A Content Analysis Comparing Public and Technical Services,” in which authors David W. Reser and Anita P. Schuneman analyzed 1,133 job advertisements published in 1988 to compare public and technical services positions.1 A growing number of electronic-related advertisements in the past decade has led to the addition of a third division to be investigated, namely the systems and automation librarian. For purposes of comparison with Reser and Schuneman’s article, the authors retained the same research design and variables. These variables include levels of computer skills, foreign-language requirements, previous work experience, educational requirements, and minimum salary offered.


2015 ◽  
Vol 76 (6) ◽  
pp. 716-739 ◽  
Author(s):  
Therese F. Triumph ◽  
Penny M. Beile

The primary objective of the study was to describe the number, types and titles, requested qualifications and skills, salary information, and locations of positions advertised in 2011 on the ALA JobLIST and ARL Job Announcements websites and in the print version of the Chronicle of Higher Education for purposes of determining the current state of the academic library job market in the United States. To investigate changes in the academic library job market and identify emerging trends over a 23-year period, results also were compared to studies that analyzed position announcements from 1996 and 1988. Content analysis of 957 unique academic library job advertisements revealed relative stasis in the market regarding the number of positions advertised, presence of administrative duties, geographic distribution of positions, and, to some extent, educational requirements. However, other comparisons were more dynamic. Specifically, there has been a decline in foreign language skills and prior work experience requirements over time while computer skills are increasingly sought. Perhaps most striking is the proliferation of new position titles that have emerged over time, which serves as an indication that library positions are becoming increasingly specialized.


2015 ◽  
Vol 116 (7/8) ◽  
pp. 358-368 ◽  
Author(s):  
Heather Michele Moorefield-Lang

Abstract – The purpose of this paper is to analyze the user agreements of makerspaces in public and academic libraries. User agreements, also known as maker agreements, user forms and liability forms, can be very important documents between library patrons, staff and faculty. User agreements are similar to the earlier creation of acceptable use policies for technology use in libraries. The author of this study will delve into the user agreements created for public and academic libraries across the USA. Design/methodology/approach – The researcher used content analysis to investigate 24 different user agreements written for public and academic library makerspaces. NVivo qualitative data analysis software was integrated into this research to aid in the breakdown of commonalities across terms, themes and purpose within the user agreements. Findings – Although makerspaces are a very exciting topic in the field of library science at this time, the implementation of a maker learning space is still new to many libraries. Creating a user agreement for a makerspace is newer still. Most user agreements in this study were six months to a year old. Some consistencies found across makerspace user agreements include liability waivers, permissions for minors, safety, copyright and technology replacement costs. Originality/value – At this time, most publications on makerspaces are held in the realm of popular publications (blogs, magazines, zines, etc.). The body of peer-reviewed and scholarly research on makerspaces is growing. Makerspace user agreements are new to this growing field of interest, and a content analysis of these documents will pave the way for the writing of future forms.


2019 ◽  
Vol 23 (4) ◽  
pp. 664-686 ◽  
Author(s):  
Hsia-Ching Chang ◽  
Chen-Ya Wang ◽  
Suliman Hawamdeh

Purpose This paper aims to investigate emerging trends in data analytics and knowledge management (KM) job market by using the knowledge, skills and abilities (KSA) framework. The findings from the study provide insights into curriculum development and academic program design. Design/methodology/approach This study traced and retrieved job ads on LinkedIn to understand how data analytics and KM interplay in terms of job functions, knowledge, skills and abilities required for jobs, as well as career progression. Conducting content analysis using text analytics and multiple correspondence analysis, this paper extends the framework of KSA proposed by Cegielski and Jones‐Farmer to the field of data analytics and KM. Findings Using content analysis, the study analyzes the requisite KSA that connect analytics to KM from the job demand perspective. While Kruskal–Wallis tests assist in examining the relationships between different types of KSA and company’s characteristics, multiple correspondence analysis (MCA) aids in reducing dimensions and representing the KSA data points in two-dimensional space to identify potential associations between levels of categorical variables. The results from the Kruskal–Wallis tests indicate a significant relationship between job experience levels and KSA. The MCA diagrams illustrate key distinctions between hard and soft skills in data across different experience levels. Practical implications The practical implications of the study are two-fold. First, the extended KSA framework can guide KM professionals with their career planning toward data analytics. Second, the findings can inform academic institutions with regard to broadening and refining their data analytics or KM curricula. Originality/value This paper is one of the first studies to investigate the connection between data analytics and KM from the job demand perspective. It contributes to the ongoing discussion and provides insights into curriculum development and academic program design.


2007 ◽  
Vol 2 (2) ◽  
pp. 110
Author(s):  
Susan Haigh

A review of: Madarash-Hill, Cherie and J.B. Hill. “Electronically Enriched Enhancements in Catalog Records: A Use Study of Books Described on Records With URL Enhancements Versus Those Without.” Technical Services Quarterly 23.2 (2005): 19-31. Abstract Objective – To compare the use of books described by catalogue records that are enhanced with URL links to such information as dust jackets, tables of contents, sample text, and publishers’ descriptions, with the use of books described by records that are not enhanced with such links. Design – Use study. Setting – Academic library (Southeastern Louisiana University, Sims Memorial Library). Subjects – 180 records with enhancements and 180 records (different titles) without enhancements. Methods – The study identified the sample of unenhanced records by conducting searches of the broad subject terms “History”, “United States”, “Education”, and “Social” and limiting the searches to books. The enhanced sample was derived in the same manner, but with additional search limiters to identify only those records that had URL enhancements. An equal sample of enhanced and unenhanced records (50 or 30 of each) was tracked for each of four search terms. Only records for books that could be checked out were included, as use statistics were based on whether or not a book was borrowed. While half of the enhanced records had full-text elements (such as descriptions) that were indexed and thus searchable, the rate of use for these records was not tracked separately from the enhanced records that only had URL enhancements. Main results – Books described on records with URL enhancements for publisher descriptions, tables of contents, book reviews, or sample text had higher use than those without URL enhancements. Only 7% of titles with URLs, compared with 21% of those without, had not been borrowed. 74.67% of titles with URLs had been checked out one or two times, compared with 69.5% of those without URLs. The number of titles with enhanced records that had 3 or more checkouts was almost double the rate of unenhanced titles (18% to 9.5%). Conclusion – The authors conclude that catalogue records that have electronic links to book reviews, cover jackets, tables of contents, or publisher descriptions can lead to higher use of books, particularly if textual enhancements such as descriptions are also searchable.


2006 ◽  
Vol 23 (4) ◽  
pp. 1-16 ◽  
Author(s):  
Patricia Dragon ◽  
Lisa Sheets Barricella

2015 ◽  
Vol 33 (6) ◽  
pp. 1002-1015 ◽  
Author(s):  
Sultan M. Al-Daihani ◽  
Suha A. AlAwadhi

Purpose – This research aims to analyze academic libraries’ Twitter content and present a categorization framework for the study of their tweets. Design/methodology/approach – The research adopted a statistical descriptive analysis in addition to a content analysis of the tweets. Consequently, many categories and subcategories were created to classify the tweets according to different aspects. A total of 17 academic library accounts were examined. Findings – The findings show that academic libraries used Twitter as a multifaceted tool. “News and announcements” received the highest score as the type of information most often posted on Twitter by libraries, followed by “library collections” and “library services”. The subcategories that received the highest scores were “library marketing and news”, “answers and referrals” and “books”. Academic libraries showed a penchant for posting links more often than other content. Other results show different patterns of communication and interaction between libraries and their Twitter followers. Practical implications – The categorization of tweets provides a framework for understanding how academic libraries use Twitter. Originality/value – As little research can be found in the library and information science literature on Twitter content analysis, this research is expected to contribute significantly. It will also support academic libraries and librarians in using Twitter more efficiently and effectively.


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