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The Performance of the Smart Cities in China—A Comparative Study by Means of Self-Organizing Maps and Social Networks Analysis. SUSTAINABILITY 2015. [DOI: 10.3390/su7067604] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Chen IS, Chen JK, Padró FF. Critical quality indicators of higher education. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 2015. [DOI: 10.1080/14783363.2015.1050178] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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A comparison of academic libraries: an analysis using a self‐organizing map. PERFORMANCE MEASUREMENT AND METRICS 2013. [DOI: 10.1108/pmm-07-2012-0026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThis paper aims to analyze the relationship among measures of resource and service usage and other features of academic libraries in the USA and Canada.Design/methodology/approachThrough the use of a self‐organizing map, academic library data were clustered and visualized. Analysis of the library data was conducted through the computation of a “library performance metric” that was applied to the resulting map.FindingsTwo areas of high‐performing academic libraries emerged on the map. One area included libraries with large numbers of resources, while another area included libraries that had low resources but gave greater numbers of presentations to groups, offered greater numbers of public service hours, and had greater numbers of staffed service points.Research limitations/implicationsThe metrics chosen as a measure of library performance offer only a partial picture of how libraries are being used. Future research might involve the use of a self‐organizing map to cluster library data within certain parameters and the identification of high‐performing libraries within these clusters.Practical implicationsThis study suggests that libraries can improve their performance not only by acquiring greater resources but also by putting greater emphasis on the services that they provide to their users.Originality/valueThis paper demonstrates how a self‐organizing map can be used in the analysis of large data sets to facilitate library comparisons.
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