Understanding users: Segmentation from man-made typologies to computer-generated clusters

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Standard

Understanding users : Segmentation from man-made typologies to computer-generated clusters. / Johannsen, Carl Gustav Viggo.

I: New Library World, Bind 115, Nr. 11/12, 14.11.2014, s. 412-425.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Johannsen, CGV 2014, 'Understanding users: Segmentation from man-made typologies to computer-generated clusters', New Library World, bind 115, nr. 11/12, s. 412-425. https://doi.org/10.1108/NLW-05-2014-0052

APA

Johannsen, C. G. V. (2014). Understanding users: Segmentation from man-made typologies to computer-generated clusters. New Library World, 115(11/12), 412-425. https://doi.org/10.1108/NLW-05-2014-0052

Vancouver

Johannsen CGV. Understanding users: Segmentation from man-made typologies to computer-generated clusters. New Library World. 2014 nov. 14;115(11/12):412-425. https://doi.org/10.1108/NLW-05-2014-0052

Author

Johannsen, Carl Gustav Viggo. / Understanding users : Segmentation from man-made typologies to computer-generated clusters. I: New Library World. 2014 ; Bind 115, Nr. 11/12. s. 412-425.

Bibtex

@article{37d91026caa94b8fa3991ce3ac686cef,
title = "Understanding users: Segmentation from man-made typologies to computer-generated clusters",
abstract = "Segmentation of users can help libraries in the process of understanding user similarities and differences. Segmentation can also form the basis for selecting segments of target users and for developing tailored services for specific target segments. Several approaches and techniques have been tested in library contexts and the aim of this article is to identify the main approaches and to discuss their perspectives, including their strenghts and weaknesses in, especially, public library contexts. The purpose is also to prsent and discuss the results of a recent - 2014 - Danish library user segmentation project using computer-generated clusters. Compared to traditional marketing texts, this article also tries to identify user segments or images or metaphors by the library profession itself. ",
keywords = "Faculty of Humanities, segmentering, biblioteksbrugere, public library users, Cluster Analysis, segmentation, correspondance analysis, Life Style, user images, user metaphors",
author = "Johannsen, {Carl Gustav Viggo}",
year = "2014",
month = nov,
day = "14",
doi = "10.1108/NLW-05-2014-0052",
language = "English",
volume = "115",
pages = "412--425",
journal = "New Library World",
issn = "0307-4803",
publisher = "Emerald Group Publishing",
number = "11/12",

}

RIS

TY - JOUR

T1 - Understanding users

T2 - Segmentation from man-made typologies to computer-generated clusters

AU - Johannsen, Carl Gustav Viggo

PY - 2014/11/14

Y1 - 2014/11/14

N2 - Segmentation of users can help libraries in the process of understanding user similarities and differences. Segmentation can also form the basis for selecting segments of target users and for developing tailored services for specific target segments. Several approaches and techniques have been tested in library contexts and the aim of this article is to identify the main approaches and to discuss their perspectives, including their strenghts and weaknesses in, especially, public library contexts. The purpose is also to prsent and discuss the results of a recent - 2014 - Danish library user segmentation project using computer-generated clusters. Compared to traditional marketing texts, this article also tries to identify user segments or images or metaphors by the library profession itself.

AB - Segmentation of users can help libraries in the process of understanding user similarities and differences. Segmentation can also form the basis for selecting segments of target users and for developing tailored services for specific target segments. Several approaches and techniques have been tested in library contexts and the aim of this article is to identify the main approaches and to discuss their perspectives, including their strenghts and weaknesses in, especially, public library contexts. The purpose is also to prsent and discuss the results of a recent - 2014 - Danish library user segmentation project using computer-generated clusters. Compared to traditional marketing texts, this article also tries to identify user segments or images or metaphors by the library profession itself.

KW - Faculty of Humanities

KW - segmentering

KW - biblioteksbrugere

KW - public library users

KW - Cluster Analysis

KW - segmentation

KW - correspondance analysis

KW - Life Style

KW - user images

KW - user metaphors

U2 - 10.1108/NLW-05-2014-0052

DO - 10.1108/NLW-05-2014-0052

M3 - Journal article

VL - 115

SP - 412

EP - 425

JO - New Library World

JF - New Library World

SN - 0307-4803

IS - 11/12

ER -

ID: 113803364