A few countries measure impact and outcomes – most would like to measure at least something

̆zič, Melita Ambro

doi:10.1108/14678040310486909

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…Their analysis focuses on the ability to apply multivariate statistical analysis on both qualitative and quantitative data and to derive valuable conclusions for locating users' behaviour patterns, failures and attributes that will eventually be applied by libraries to their OPAC software, their user training programs, etc. To date, the data derived from libraries were processed and analyzed statistically using univariate or even bivariate statistical techniques (Hardy, 1989; Naylor and Walsh, 1994; Todd, 1994; Mantzopoulos, 1995; Healey, 1996; Smith, 1996; Stephen and Hornby, 1996; Hafner, 1998; Li, 1999; Ramsdale and Fuegi, 1999; Bertot et al , 2000; Pors, 2000; Liu, 2001; Ambrožic, 2003). The suggested multivariate statistical method is designed to become a tool for analyzing statistically qualitative data and to be used in other library applications apart from the user behaviour analysis presented here.…”

Section: Methodsmentioning

confidence: 99%

Users' behaviour patterns in academic libraries' OPACs: a multivariate statistical analysis

Malliari

Kyriaki‐Manessi

2007

New Library World

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Purpose-This paper aims to present real time user searches in a Greek academic library OPAC (University of Macedonia Library) in relation to user profile. Design/methodology/approach-Using as a test bed a Greek academic library and its OPAC's transaction logs along with a system implanted questionnaire, data were gathered, processed and analyzed using multivariate statistical analysis techniques. Findings-In making a synthesis of the analyzed data, a series of questions related to everyday library work were answered, giving libraries a tool to apply the gained knowledge in order to make decisions regarding their OPAC, their user education programs and their reference services. Research limitations/implications-The present paper focuses on the analysis of those variables that were considered to be the most representative for constructing a user profile. Originality/value-This paper builds upon the techniques of data collection and presents a new tool for analyzing them statistically. Data derived from libraries were processed and analyzed statistically using the classical descriptive statistics. The suggested multivariate statistical method is designed to become a tool for analyzing qualitative data and to be used in a variety of library applications. It is also particularly helpful in analyzing cross-tabular data in the form of numerical frequencies and allows all associations amongst pairs of variables to be analyzed as well as each association between a variable and itself.

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Section: Methodsmentioning

confidence: 99%

Users' behaviour patterns in academic libraries' OPACs: a multivariate statistical analysis

Malliari

Kyriaki‐Manessi

2007

New Library World

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“…Delivering the annual statistics is a major effort for libraries, but after the statistics have been collated, the numbers are often forgotten. This "statistical illiteracy" of the librarians is generally well known and for years there has been discussion about the need to improve their skills (Ambrožič, 2003).…”

Section: National Statistics As a Base For Quantitative Evaluation Onmentioning

confidence: 99%

A model for a library‐management toolbox

Laitinen

Saarti

2012

Library Management

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Article information:To cite this document: Markku Laitinen Jarmo Saarti, (2012),"A model for a library-management toolbox", Library Management, Vol. 33 Iss 4/5 pp. 253 -260 Permanent link to this document: http://dx., (2012),"New challenges for the quality of librarian services delivery in Portugal", Library Management, Vol. 33 Iss 4/5 pp. 272-291 http:// dx.If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -Quality management, and its associated evidence-based ideology, have influenced library management from at least the beginning of the 1990s. Both concepts emphasize that decisions have to be based on facts. Libraries have a long history of using statistics in data collection due to international agreements and standards. Although there is much data available in the libraries, perhaps this collected data have not been utilized as effectively as possible. This paper aims to discuss the possibilities of combining different types of statistical data in order to measure the efficiency of the work being done in libraries and what possible impact they can have in their parent organizations. It also aims to use the concept of data warehousing as a tool for joining different types of statistical data in the analysis. Design/methodology/approach -This paper is a case study with statistical analysis of library data collected and a conceptual analysis of possibilities in the data warehousing of the library and library-related data in order to improve its analysis. Findings -The authors suggest that in order to improve the analysis of the library statistical data towards the actual effects the library has, for example, to the learning and research done within university, one must start to develop statistical data systems that enable the combination of different types of statistical data. This needs co-operation between different vendors and government officials in defining the statistical data collected.Research limitations/implications -The paper is based on Finnish experiences and the data warehousing model should be tested empirically and developed further due to the challenges in the conformity of the data collected. Practical implications -The paper presents ideas and possibilities to evolve the library statistical data an...

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“…Delivering the annual statistics after the turn of the year requires a big effort by the libraries, and after the statistics have been completed, the numbers are often forgotten. This 'statistical illiteracy' of the librarians is generally known and for years now it has been stressed that such skills need to be developed [Ambrožič, 2003].…”

Section: Statistics Of Finnish University Libraries and Utilising Thementioning

confidence: 99%

Are Libraries Worth Investing in?: Finnish University Libraries and their Effect on the National Economy

Kiviniemi¹,

Laitinen²,

Saarti³

2009

LIBER

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The paper discusses the correlation between the growth of the gross national product (GNP) of Finland and the library materials costs of the academic libraries during thirty years . Statistical data were used in the analysis and it was found that there is some correlation between the trends of these two. The paper discusses different possibilities for interpretation of this outcome, but the authors draw the conclusion that it is clearly worth investing in libraries as one tool to improve the knowledge economy.

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A few countries measure impact and outcomes – most would like to measure at least something

Cited by 7 publications

References 6 publications

Users' behaviour patterns in academic libraries' OPACs: a multivariate statistical analysis

Users' behaviour patterns in academic libraries' OPACs: a multivariate statistical analysis

A model for a library‐management toolbox

Are Libraries Worth Investing in?: Finnish University Libraries and their Effect on the National Economy

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