BibTex RIS Kaynak Göster

The Selection of an Entry-Level Music Librarian: The Analytic Hierarchy Process (AHP) as a New Model

Yıl 2015, Cilt: 3 Sayı: 2, 1 - 13, 30.11.2015

Öz

This paper aims to present how to select the best entry-level music librarian by using the Analytic Hierarchy Process technique. The reason why we used this technique is due to the fact that it helps the decision makers easily calculate ‘the importance weights of professional criteria’ and ‘the extent to which the candidates meet the professional criteria’ to come to a final decision on each candidate.

With this purpose, we firstly described 7 professional criteria (a1, a2, a3,…, a7) that must be met by 3 entry-level music librarian candidates. Secondly, we decided each candidate’s performance score representing the extent to which each candidate meets these criteria. For this, we used both a 9-point scale for pairwise comparisons and Saaty’s eigenvector method. Thirdly, we assigned the importance weights to the required criteria. Fourthly, we performed the consistency test to measure the consistencies of our calculations with the aid of the consistency ratio (CR). Fifthly, we obtained the final performance scores of each candidate as the candidate 1= 0,464, the candidate 2= 0, 296, and the candidate 3= 0, 240.

Finally, we selected the candidate 1 who earned the highest score (0,464) in total as the best entry-level music librarian. 

Kaynakça

  • Al Ansari, H., & Al Khadher, O. (2011). Developing a leadership competency model for library and information professionals in Kuwait. Libri, 61(3), 239-246.
  • Allet, N. (2010). ’Love’s labours’: Extreme metal music and its feeling community. PhD thesis, University of Warwick. Retrieved July 10, 2014, from http://wrap.warwick.ac.uk/3110/
  • Aluede, C., & Ekewenu, D. (2009). Healing through music and dance in the Bible: Its scope, competence and implications for the Nigerian music healers. Ethno-Med, 3(2), 159-163.
  • Ammer, C. (2004). The facts on file dictionary of music. New York: Facts on File.
  • Anhalt, J., & Stewart, R. (2012). RDA simplified. Cataloging & Classification Quarterly, 50(1), 33-44.
  • Archer-Capuzzo, S. (2013). Fieldwork and the music librarian: How music librarians can help researchers conduct high-quality fieldwork. Music Reference Services Quarterly, 16(1), 1-17.
  • Bello, J., & U. Kent. (2012). Improving access to digital music through content-based analysis. OCLC Systems & Services: International Digital Library Perspectives, 28(1), 17-31.
  • Berndt Morris, E. (2012). Building a collection in electronic music: Considerations and sources. Music Reference Services Quarterly, 15(1), 34-40.
  • Berger, M. (2008). Scholarly monographs on rock music: A bibliographic essay. Collection Building, 27(1), 4-13.
  • Bradt, J. (2010). The effects of music entrainment on postoperative pain perception in pediatric patients. Music and Medicine, 2(3), 150-157.
  • Brandler, S., & Rammsayer, T. (2003). Differences in mental abilities between musicians and non-musicians. Psychology of Music, 31(2), 123-138.
  • Bunt, L. (1994). Music therapy: An art beyond words. London: Routledge.
  • Campana, D. (2001). Music libraries supporting comprehensive schools of music. Fontes Artis Musicae, 48(4), 353-361.
  • Chandran, B., Golden, B. & Wasil, E. (2005). Linear programming models for estimating weights in the analytic hierarchy process. Computers & Operations Research, 32(9), 2235-2254.
  • Choi, Y., & Rasmussen, E. (2009). What qualifications and skills are important for digital librarian positions in academic libraries? A job advertisement analysis. Journal of Academic Librarianship, 35(5), 457-467.
  • Clark, J. (2013). What employers want: Entry-level qualifications for music librarians. Notes, 69(3), 472-493.
  • Dougan, K. (2010). A view of music librarianship as seen through its journals: A comparison of Notes and Fontes Artis Musicae, 1977-2007. Notes, 66(4), 705-725.
  • Dougan, K. (2012). Information seeking behaviors of music students. Reference Services Review, 40(4), 558-573.
  • Dougan, K. (2013). Delivering and assessing music reference services. The Reference Librarian, 54(1), 38-54.
  • Fazekas, M., & Philpott, L. (2005). Music librarianship Feliciter, 51(3), 128-130.
  • Feather, J., & Sturges, P. (2003). International encyclopedia of information and library science. London: Routledge.
  • Ferguson Publishing. (2007). What can I do now?:Music. New York: Ferguson.
  • Fidler, L. (2002). The acquisition of out-of-print music. The Acquisitions Librarian, 14(27), 5-15.
  • Fling, R. (2006). Tips on acquiring music. Notes, 63(2), 279-288.
  • Forrester, R., & Hutson, K. (2014). Balancing faculty and students preferences in the assignment of students to groups. Decision Sciences Journal of Innovative Education, 12(2), 131-147.
  • Forster, J. (2006). Commodified Evil’s Wayward children: Black metal and death metal as purveyors of an alternative form of modern escapism. Thesis (M.A.) University of Canterbury. Retrieved May 22, 2015, from http://ir.canterbury.ac.nz/bitstream/10092/966/1/thesis_fulltext.pdf
  • Friedman, S., Kaplan, R., Rosenthal, M., & Console, P. (2010). Music therapy in perinatal psychiatry: Use of lullabies for pregnant and postpartum women with mental illness. Music and Medicine, 2(4), 219-225.
  • Gardinier, H., Canino, S., & Rahkohen, C. (2010). Music librarianship. In M. Bates and M. Maack (Eds.), Encyclopedia of library and information sciences (pp. 3814-3826). Boca Raton, F. L.: CRC Press.
  • Geng, H. (2004). Manufacturing engineering handbook. New York: McGraw-Hill.
  • Geng W. -L., & Hu, Y.-S. (2013). Performance evaluation of robot design based on AHP. International Journal of Database Theory and Application, 6(2), 79-88.
  • Gentilli-Tedeschi, M., & Riva, F. (2004). Authority control in the field of music. Cataloging and Classification Quarterly, 39(1), 399-412.
  • Gerolimos, M., & Konsta, R. (2008). Librarians' skills and qualifications in a modern informational environment. Library Management, 29(8-9), 691-699.
  • Girsberger, R. (2006). A manual for the performance library. Lanham, Md: Scarecrow Press.
  • Gottlieb, J. (2009). Music library and research skills. Upper Saddle River, N. J.: Pearson Prentice Hall.
  • Gutsche, B., & Hough, B. (2014). Competency index for the library field. Retrieved May 20, 2015, from http://www.webjunction.org/content/dam/WebJunction/Documents/webJunction/2014-03/Competency-Index-2014.pdf
  • Hallam, S. (2010). The power of music: Its impact on the intellectual, social and personal development of children and young people. Journal of Music Education, 28(3), 269-289.
  • Hansen, C., & Hansen, R. (1991). Constructing personality and social reality through music: Individual differences among fans of punk and heavy metal music. Journal of Broadcasting & Electronic Media, 35(3), 335-350.
  • Hart, L., & Muncy, G.. (2009). The essential role of music interlending: How to support music making in the UK. Interlending & Document Supply, 37(2), 79-83.
  • Hartley, M., Turry, A., & Raghavan, P. (2008). The role of music and music therapy in Aphasia rehabilitation. Music and Medicine, 2(4), 235-242.
  • Heimer, G., (2003). Defining electronic librarianship: a content analysis of job advertisements. Public Services Quarterly, 1(1), 27-43.
  • Hemmasi, H., & Young, B. (2000). LCSH for music historical and empirical perspectives. Cataloging & Classification Quarterly, 29(1/2), 135-157.
  • Henry, S. (2012). RDA and music reference services: What to expect and what to do next. Fontes Artis Musicae, 59(3), 257-269.
  • Hope, S. (2009). Local assessment of music libraries and information services: The present and the futures. Canton, MA: Music Library Association. Retrieved May 29, 2015, from http://nasm.arts-accredit.org/site/docs/PUBLICATIONS/Local%20Assessment%20of%20Music%20Libraries-Rev09.pdf
  • Huang, S., Su, X., Hu, Y., Mahadevan, S., & Deng, Y. (2014). A new decision-making method by incomplete preferences based on evidence distance. Knowledge-based Systems, 56, 264-272.
  • Hunter, D. (2002). Core competencies and music librarians. Prepared on behalf of the Music Library Association’s Library School Liaison Subcommittee. Retrieved July 19, 2014, from http://c.ymcdn.com/sites/www.musiclibraryassoc.org/resource/resmgr/docs/core_competencies.pdf?hhSearchTerms=%22core+and+competencies%22
  • Hurley, W. (2001). The analytic hierarchy process: a note on an approach to sensitivity which preserves rank order. Computers & Operations Research, 28(2), 185-188.
  • Hursh, D. (2004). Calling all academic music library reference desks. Music Reference Services, 8(3), 63-81.
  • IAML. (2007). Working with music in libraries. Retrieved July 11, 2014, from http://www.iaml.info/iaml-uk-irl/publications/wwmil.pdf
  • Ishizaka, A., & Nemery, P. (2013). Multi-criteria decision analysis: methods and software. Chichester: John Wiley and Sons Ltd.
  • Jacobs, A. (2006a). Music. In The new penguin dictionary of music. London: Penguin. Retrieved July 10, 2014, from http://search.credoreference.com/content/entery/penguinmusic/music/0
  • Jacobs, A. (2006b). Muses. In The new penguin dictionary of music. London: Penguin. Retrieved April 10, 2015, from http://search.credoreference.com/content/entery/penguinmusic/music/0
  • Jalao, E., Wu, T., & Shunk, D. (2014). A stochastic AHP decision making methodology for imprecise preferences. Information Sciences, 270, 192-203.
  • Jiazhong, O., & Min, L. (2013). Study on fuzzy evaluation of credit risk of corporate bond. Journal of Digital Information Management, 11(2), 102-107.
  • King, D. (2005). Catalog user search strategies in finding music materials. Music Reference Services Quarterly, 9(4), 1-24.
  • King, V. (2004). Music research and reference on the internet. Reference & User Services Quarterly, 44(2), 111-115.
  • Lacourse, E., Claes, M., & Villeneuve, M. (2001). Heavy metal music and adolescent suicidal risk. Journal of Youth and Adolescence, 30(3), 321-332.
  • Lai, K., & Chan, K. (2010). Do you know your music users’ needs? A library user survey that helps enhance a user-centered music collection. The Journal of Academic Librarianship, 36(1), 63-69.
  • López Droguett, E., & Mosleh, A. (2014). Bayesian treatment of model uncertainty for partially applicable models. Risk Analysis, 34(2), 252-270.
  • Luttmann, S. (2004). Selection of music materials. The Acquisitions Librarian, 16(31/32), 11-25.
  • Madden, K. (2010). Cooperative collection management in music: Past and present. New Library World, 111(7/8), 333-346.
  • Marley, J. (2001). Education for music librarianship within the United States: Content analysis of selected documentation and structured interviews with selected practitioners. Ph. D. Thesis, University of Pittsburgh.
  • Marley, J. (2002). Education for music librarianship with the United States: Needs and opinions of recent graduate/practitioners. Fontes Artis Musicae, 49(3), 139-172.
  • McBride, J. (2000). Faceted subject access for music through USMARC: A case for linked fields. Cataloging & Classification Quarterly, 31(1), 15-30.
  • McKnight, M. (2002). Music classification systems. Lanham: Scarecrow Press.
  • Miranda, D., & Claes, M. (2009). Music listening, coping, peer affiliation and depression in adolescence. Psychology of Music, 37(2), 215-233.
  • Montazar, A., & Behbahani, S. M. (2007). Development of an optimised irrigation system selection model using analytical hierarchy process. Biosystems Engineering, 98(2), 155-165.
  • Morrow, J. (2004). Preparing to be a music librarian. In P. Elliot and L. Blair (Eds.), Career in music librarianship II: traditions and transitions (pp. 29-40). Lanham, Md: Scarecrow Press.
  • Mortimer, M. (2007). LibrarySpeak: A glossary of terms in librarianship and information management. Friendswood, TX: TotalRecall.
  • Munier, N. (2004). Multicriteria environmental assessment: a practical guide. Dordrecht: Kluwer Academic Publishers.
  • Nettl, B. (2001). Music. In Grove music online. Oxford: Oxford University Press. Retrieved April 10, 2015, from http://www.oxfordmusiconline.com/subscriber/article/grove/mucic/40476
  • Newcomer, N., Belford, R., Kulczak, D., Szeto, K., Mattews, J., & Shaw, M. (2013). Music discovery requirements: A guide to optimizing interfaces. Notes, 69(3), 494-524.
  • Nicol, J. (2010). Body time, space and relationship in the music listening experiences of women with chronic illness. Psychology of Music, 38(3), 351-367.
  • Notsu, A., Kawakami, H., Tezuka, Y., & Honda, K. (2013). Intergration of information based on the similarity in AHP. Procedia Computer Science, 22(74), 1011-1020.
  • Oates, J. (2004). Music librarianship educations: Problems and solutions. Music Reference Services Quarterly, 8(3), 1-24.
  • Okada, H., Styles, S., & Grismer, M. (2008). Application of the analytic hierarchy process to irrigation project improvement. Agricultural Water Management, 95(3), 199-204.
  • Orio, N. (2006). Music retrieval: a tutorial and review. Hanover, MA: Now Publishers.
  • Patel, R. (2001). A quantitative approach to the site selection. In K. Zandin (Ed.), Maynard's industrial engineering handbook. New York: McGraw-Hill.
  • Pedrycz, W., & Song, M. (2014). A granulation of linguistic information in AHP decision-making problems. Information Fusion, 17(1), 93-101.
  • Peyvand R. A., & Singh, D. (2013). Competencies required by special librarians: An analysis by educational levels. Journal of Librarianship and Information Science, 45(2), 113-139.
  • Pierry, M. (2013). The LCC number of the Beast: A guide to metal music and resources for librarians. Music Reference Services Quarterly, 16(3), 141-159.
  • Phillips, W., & Cogan, B. (2009). Encyclopedia of heavy metal music. Westport, Conn: Greenwood Press.
  • Prytherch, R. (2005). Harrod’s librarians’ glossary and reference book: A directory of over 10,200 terms, organization management, library science, publishing and archive management. Aldershot, Hants, England: Ashgate.
  • Rauscher, F., Shaw, G., & Ky, K. (1993). Music and spatial task performance. Nature, 365(6447), 611.
  • Rauscher, F., Shaw, G., & Ky, K. (1995). Listening to Mozart enhances spatial-temporal reasoning: Towards a neurophysiological basis. Neuroscience Letters, 185(1), 44-47.
  • Recours, R., Aussaguel, F., & Trujillo, N. (2009). Metal music and mental health in France. Culture, Medicine and Psychiatry, 33(3), 473-488.
  • Ringwood, A., Stormes, S., Casey, J., Dougan, K., Fisken, P., & Hudges, N. (2013). Qualification of a music librarian, Rev. 2013 (Draft). Retrieved April 10, 2014, from http://libguides.butler.edu/print_content.php?pid=433132&sid=3544627
  • Saaty, T. (2005). The analytic hierarchy and analytic network processes for the measurement of the intangible criteria and for decision-making. In J. Figueira, S. Greco, and M. Ehrgott (Ed.), Multiple criteria decision analysis: state of the art surveys (pp. 345-408). New York: Springer.
  • Saaty, T. (2008). The analytic hierarchy an analytic network measurement process: Application to decisions under risk. European Journal of Pure and Applied Mathematics, 1(1), 122-196.
  • Saaty, T., & Sodenkamp, M. (2010). The analytic hierarchy and analytic network measurement processes: The measurement of intangibles. In C. Zopounidis and P. Pardalos (Ed.), Handbook of multicriteria analysis (pp. 91-166). Berlin: Springer-Verlag.
  • Sanderson, C., & Gruen, R. (2006). Analytical models for decision making. Maidenhead: Open Univ. Press.
  • Satpathy, S., & Maharana, R. (2011). ICT skills of LIS professionals in engineering institutions of Orissa, India: A case study. Library Philosophy and Practice, 124-135.
  • Schwartz, K., & Fouts, G. (2003). Music preferences, personality style, and developmental issues of adolescents. Journal of Youth and Adolescence, 32(3), 205-213.
  • Sharma, V. (2010). Asset levels of service-based decision support system for municipal infrastructure investment. Edmonton, Alta: University of Alberta. Retrieved May 29, 2014, from http://hdl.handle.net/10048/870
  • Sherman, R., & Seldon, P. (1997). The complete idiot’s guide to classical music. New York: Alpha Books.
  • Short, A., Ahern, N., Holdgate, A., Moris, J., & Sidhu, B. (2010). Using music to reduce noise stress for patients in the emergence department: A pilot study. Music and Medicine, 2(4), 201-207.
  • Shuker, R. (2001). Understanding popular music. London: Routledge.
  • Slawsky, M. (2010). 21st century skills & competencies for music librarianship. Music Library Student Group Resources. Retrieved April 2, 2015, from http://docs.google.com/Doc?docid=0AY36eB5oiHd3ZHZudG56d181Y3Y2bXo0Yzc&hl=en
  • Srdjevic, B. (2005). Combining different prioritization methods in the analytic hierarchy process synthesis. Computers & Operations Research, 32 (7), 1897-1919.
  • Stack, S., Gundlach, J., & Jimmie, L. (1994). The heavy metal subculture and suicide. Suicide & Life-Threatening Behavior, 24(1), 15-23.
  • Steele, K., Ball, T., & Runk, R. (1997). Listening to Mozart does not enhance backwards digit span performance. Perceptual and Motor Skills, 84(3), 1179-1184.
  • Stevenson, J. (2006). Dictionary of information and library management. London: A. & C. Black.
  • Takesue, S. (2010). Music fundamentals: A balanced approach. London: Routledge.
  • Taniguchi, S. (2012). Viewing RDA from FRBR and FRAD: Does RDA represent a different conceptual model?. Cataloging & Classification Quarterly, 50(8), 929-943.
  • Taniguchi, S. (2013). Understanding RDA as a DC applications profile. Cataloging & Classification Quarterly, 51(6), 601-623.
  • The American Bible. (2002). Retrieved April 9, 2014, from http://www.vatican.va/archive/ENG0839/_INDEX.HTM
  • The Hutchinson dictionary of the arts. (2008). Abingdon: Helicon. Retrieved July 10, 2014, from http://www.ebrary.com
  • Thompson, A. (1986). Music cataloging in academic libraries and the case for physical decentralization: A survey. Journal of Academic Librarianship, 12(2), 79-83.
  • Tomaio, C. (2011). Using rhythmic auditory stimulation for rehabilitation. In J. Berger & G. Turow (ed), Music, science, and the rhythmic brain: Cultural and clinical implications (pp. 111-121). New York: Routledge.
  • Torvinen, J. (2009) Can music (libraries) predict our future?. Fontes Artis Musicae, 56(1), 25-28.
  • Walker, D. (2003). Music in the academic library of tomorrow. Notes, 59(4), 817-827.
  • Water, H., & Vries, J. (2006). Choosing a quality improvement project using the analytic hierarchy process. International Journal of Quality & Reliability Management, 23(4), 409-425.
  • Will, U., & Turow, G. (2011). Introduction to entrainment and cognitive ethnomusicology. In J. Berger & G. Turow (Eds.), Music, science, and the rhythmic brain: Cultural and clinical implications (pp. 3-30). New York: Routledge.
  • Wu, I. -C., & Chen, W. -S. (2013). Evaluating the practices in the e-learning platform from the perspective of knowledge management. Journal of Library and Information Studies, 11(1), 1-24.
  • Yılmaz, M. (2006). How to use fuzzy set theory to select a library manager. South African Journal of Libraries and Information Science, 72(3), 236-241.
  • Yılmaz, M. (2010). Analitik Hiyerarşi Süreci (AHS) ve bir uygulama: Lider bir kütüphane müdürü seçimi [The Analytic Hierarchy Process (AHP) and an application: The selection of a library director as a leader]. Türk Kütüphaneciliği (Turkish Librarianship), 24(2), 206-234.
  • Yılmaz, M. (2014). The selection of a children’s librarian: OWA (Ordered Weighted Averaging) as a new model. Journal of Library Administration, 54(7), 573-589.
  • Zammori, F. (2010). The analytic hierarchy and network processes: Applications to the US presidential election and to the market share of ski equipment in Italy. Applied Soft Computing, 10(4), 1001-1012
Yıl 2015, Cilt: 3 Sayı: 2, 1 - 13, 30.11.2015

Öz

Kaynakça

  • Al Ansari, H., & Al Khadher, O. (2011). Developing a leadership competency model for library and information professionals in Kuwait. Libri, 61(3), 239-246.
  • Allet, N. (2010). ’Love’s labours’: Extreme metal music and its feeling community. PhD thesis, University of Warwick. Retrieved July 10, 2014, from http://wrap.warwick.ac.uk/3110/
  • Aluede, C., & Ekewenu, D. (2009). Healing through music and dance in the Bible: Its scope, competence and implications for the Nigerian music healers. Ethno-Med, 3(2), 159-163.
  • Ammer, C. (2004). The facts on file dictionary of music. New York: Facts on File.
  • Anhalt, J., & Stewart, R. (2012). RDA simplified. Cataloging & Classification Quarterly, 50(1), 33-44.
  • Archer-Capuzzo, S. (2013). Fieldwork and the music librarian: How music librarians can help researchers conduct high-quality fieldwork. Music Reference Services Quarterly, 16(1), 1-17.
  • Bello, J., & U. Kent. (2012). Improving access to digital music through content-based analysis. OCLC Systems & Services: International Digital Library Perspectives, 28(1), 17-31.
  • Berndt Morris, E. (2012). Building a collection in electronic music: Considerations and sources. Music Reference Services Quarterly, 15(1), 34-40.
  • Berger, M. (2008). Scholarly monographs on rock music: A bibliographic essay. Collection Building, 27(1), 4-13.
  • Bradt, J. (2010). The effects of music entrainment on postoperative pain perception in pediatric patients. Music and Medicine, 2(3), 150-157.
  • Brandler, S., & Rammsayer, T. (2003). Differences in mental abilities between musicians and non-musicians. Psychology of Music, 31(2), 123-138.
  • Bunt, L. (1994). Music therapy: An art beyond words. London: Routledge.
  • Campana, D. (2001). Music libraries supporting comprehensive schools of music. Fontes Artis Musicae, 48(4), 353-361.
  • Chandran, B., Golden, B. & Wasil, E. (2005). Linear programming models for estimating weights in the analytic hierarchy process. Computers & Operations Research, 32(9), 2235-2254.
  • Choi, Y., & Rasmussen, E. (2009). What qualifications and skills are important for digital librarian positions in academic libraries? A job advertisement analysis. Journal of Academic Librarianship, 35(5), 457-467.
  • Clark, J. (2013). What employers want: Entry-level qualifications for music librarians. Notes, 69(3), 472-493.
  • Dougan, K. (2010). A view of music librarianship as seen through its journals: A comparison of Notes and Fontes Artis Musicae, 1977-2007. Notes, 66(4), 705-725.
  • Dougan, K. (2012). Information seeking behaviors of music students. Reference Services Review, 40(4), 558-573.
  • Dougan, K. (2013). Delivering and assessing music reference services. The Reference Librarian, 54(1), 38-54.
  • Fazekas, M., & Philpott, L. (2005). Music librarianship Feliciter, 51(3), 128-130.
  • Feather, J., & Sturges, P. (2003). International encyclopedia of information and library science. London: Routledge.
  • Ferguson Publishing. (2007). What can I do now?:Music. New York: Ferguson.
  • Fidler, L. (2002). The acquisition of out-of-print music. The Acquisitions Librarian, 14(27), 5-15.
  • Fling, R. (2006). Tips on acquiring music. Notes, 63(2), 279-288.
  • Forrester, R., & Hutson, K. (2014). Balancing faculty and students preferences in the assignment of students to groups. Decision Sciences Journal of Innovative Education, 12(2), 131-147.
  • Forster, J. (2006). Commodified Evil’s Wayward children: Black metal and death metal as purveyors of an alternative form of modern escapism. Thesis (M.A.) University of Canterbury. Retrieved May 22, 2015, from http://ir.canterbury.ac.nz/bitstream/10092/966/1/thesis_fulltext.pdf
  • Friedman, S., Kaplan, R., Rosenthal, M., & Console, P. (2010). Music therapy in perinatal psychiatry: Use of lullabies for pregnant and postpartum women with mental illness. Music and Medicine, 2(4), 219-225.
  • Gardinier, H., Canino, S., & Rahkohen, C. (2010). Music librarianship. In M. Bates and M. Maack (Eds.), Encyclopedia of library and information sciences (pp. 3814-3826). Boca Raton, F. L.: CRC Press.
  • Geng, H. (2004). Manufacturing engineering handbook. New York: McGraw-Hill.
  • Geng W. -L., & Hu, Y.-S. (2013). Performance evaluation of robot design based on AHP. International Journal of Database Theory and Application, 6(2), 79-88.
  • Gentilli-Tedeschi, M., & Riva, F. (2004). Authority control in the field of music. Cataloging and Classification Quarterly, 39(1), 399-412.
  • Gerolimos, M., & Konsta, R. (2008). Librarians' skills and qualifications in a modern informational environment. Library Management, 29(8-9), 691-699.
  • Girsberger, R. (2006). A manual for the performance library. Lanham, Md: Scarecrow Press.
  • Gottlieb, J. (2009). Music library and research skills. Upper Saddle River, N. J.: Pearson Prentice Hall.
  • Gutsche, B., & Hough, B. (2014). Competency index for the library field. Retrieved May 20, 2015, from http://www.webjunction.org/content/dam/WebJunction/Documents/webJunction/2014-03/Competency-Index-2014.pdf
  • Hallam, S. (2010). The power of music: Its impact on the intellectual, social and personal development of children and young people. Journal of Music Education, 28(3), 269-289.
  • Hansen, C., & Hansen, R. (1991). Constructing personality and social reality through music: Individual differences among fans of punk and heavy metal music. Journal of Broadcasting & Electronic Media, 35(3), 335-350.
  • Hart, L., & Muncy, G.. (2009). The essential role of music interlending: How to support music making in the UK. Interlending & Document Supply, 37(2), 79-83.
  • Hartley, M., Turry, A., & Raghavan, P. (2008). The role of music and music therapy in Aphasia rehabilitation. Music and Medicine, 2(4), 235-242.
  • Heimer, G., (2003). Defining electronic librarianship: a content analysis of job advertisements. Public Services Quarterly, 1(1), 27-43.
  • Hemmasi, H., & Young, B. (2000). LCSH for music historical and empirical perspectives. Cataloging & Classification Quarterly, 29(1/2), 135-157.
  • Henry, S. (2012). RDA and music reference services: What to expect and what to do next. Fontes Artis Musicae, 59(3), 257-269.
  • Hope, S. (2009). Local assessment of music libraries and information services: The present and the futures. Canton, MA: Music Library Association. Retrieved May 29, 2015, from http://nasm.arts-accredit.org/site/docs/PUBLICATIONS/Local%20Assessment%20of%20Music%20Libraries-Rev09.pdf
  • Huang, S., Su, X., Hu, Y., Mahadevan, S., & Deng, Y. (2014). A new decision-making method by incomplete preferences based on evidence distance. Knowledge-based Systems, 56, 264-272.
  • Hunter, D. (2002). Core competencies and music librarians. Prepared on behalf of the Music Library Association’s Library School Liaison Subcommittee. Retrieved July 19, 2014, from http://c.ymcdn.com/sites/www.musiclibraryassoc.org/resource/resmgr/docs/core_competencies.pdf?hhSearchTerms=%22core+and+competencies%22
  • Hurley, W. (2001). The analytic hierarchy process: a note on an approach to sensitivity which preserves rank order. Computers & Operations Research, 28(2), 185-188.
  • Hursh, D. (2004). Calling all academic music library reference desks. Music Reference Services, 8(3), 63-81.
  • IAML. (2007). Working with music in libraries. Retrieved July 11, 2014, from http://www.iaml.info/iaml-uk-irl/publications/wwmil.pdf
  • Ishizaka, A., & Nemery, P. (2013). Multi-criteria decision analysis: methods and software. Chichester: John Wiley and Sons Ltd.
  • Jacobs, A. (2006a). Music. In The new penguin dictionary of music. London: Penguin. Retrieved July 10, 2014, from http://search.credoreference.com/content/entery/penguinmusic/music/0
  • Jacobs, A. (2006b). Muses. In The new penguin dictionary of music. London: Penguin. Retrieved April 10, 2015, from http://search.credoreference.com/content/entery/penguinmusic/music/0
  • Jalao, E., Wu, T., & Shunk, D. (2014). A stochastic AHP decision making methodology for imprecise preferences. Information Sciences, 270, 192-203.
  • Jiazhong, O., & Min, L. (2013). Study on fuzzy evaluation of credit risk of corporate bond. Journal of Digital Information Management, 11(2), 102-107.
  • King, D. (2005). Catalog user search strategies in finding music materials. Music Reference Services Quarterly, 9(4), 1-24.
  • King, V. (2004). Music research and reference on the internet. Reference & User Services Quarterly, 44(2), 111-115.
  • Lacourse, E., Claes, M., & Villeneuve, M. (2001). Heavy metal music and adolescent suicidal risk. Journal of Youth and Adolescence, 30(3), 321-332.
  • Lai, K., & Chan, K. (2010). Do you know your music users’ needs? A library user survey that helps enhance a user-centered music collection. The Journal of Academic Librarianship, 36(1), 63-69.
  • López Droguett, E., & Mosleh, A. (2014). Bayesian treatment of model uncertainty for partially applicable models. Risk Analysis, 34(2), 252-270.
  • Luttmann, S. (2004). Selection of music materials. The Acquisitions Librarian, 16(31/32), 11-25.
  • Madden, K. (2010). Cooperative collection management in music: Past and present. New Library World, 111(7/8), 333-346.
  • Marley, J. (2001). Education for music librarianship within the United States: Content analysis of selected documentation and structured interviews with selected practitioners. Ph. D. Thesis, University of Pittsburgh.
  • Marley, J. (2002). Education for music librarianship with the United States: Needs and opinions of recent graduate/practitioners. Fontes Artis Musicae, 49(3), 139-172.
  • McBride, J. (2000). Faceted subject access for music through USMARC: A case for linked fields. Cataloging & Classification Quarterly, 31(1), 15-30.
  • McKnight, M. (2002). Music classification systems. Lanham: Scarecrow Press.
  • Miranda, D., & Claes, M. (2009). Music listening, coping, peer affiliation and depression in adolescence. Psychology of Music, 37(2), 215-233.
  • Montazar, A., & Behbahani, S. M. (2007). Development of an optimised irrigation system selection model using analytical hierarchy process. Biosystems Engineering, 98(2), 155-165.
  • Morrow, J. (2004). Preparing to be a music librarian. In P. Elliot and L. Blair (Eds.), Career in music librarianship II: traditions and transitions (pp. 29-40). Lanham, Md: Scarecrow Press.
  • Mortimer, M. (2007). LibrarySpeak: A glossary of terms in librarianship and information management. Friendswood, TX: TotalRecall.
  • Munier, N. (2004). Multicriteria environmental assessment: a practical guide. Dordrecht: Kluwer Academic Publishers.
  • Nettl, B. (2001). Music. In Grove music online. Oxford: Oxford University Press. Retrieved April 10, 2015, from http://www.oxfordmusiconline.com/subscriber/article/grove/mucic/40476
  • Newcomer, N., Belford, R., Kulczak, D., Szeto, K., Mattews, J., & Shaw, M. (2013). Music discovery requirements: A guide to optimizing interfaces. Notes, 69(3), 494-524.
  • Nicol, J. (2010). Body time, space and relationship in the music listening experiences of women with chronic illness. Psychology of Music, 38(3), 351-367.
  • Notsu, A., Kawakami, H., Tezuka, Y., & Honda, K. (2013). Intergration of information based on the similarity in AHP. Procedia Computer Science, 22(74), 1011-1020.
  • Oates, J. (2004). Music librarianship educations: Problems and solutions. Music Reference Services Quarterly, 8(3), 1-24.
  • Okada, H., Styles, S., & Grismer, M. (2008). Application of the analytic hierarchy process to irrigation project improvement. Agricultural Water Management, 95(3), 199-204.
  • Orio, N. (2006). Music retrieval: a tutorial and review. Hanover, MA: Now Publishers.
  • Patel, R. (2001). A quantitative approach to the site selection. In K. Zandin (Ed.), Maynard's industrial engineering handbook. New York: McGraw-Hill.
  • Pedrycz, W., & Song, M. (2014). A granulation of linguistic information in AHP decision-making problems. Information Fusion, 17(1), 93-101.
  • Peyvand R. A., & Singh, D. (2013). Competencies required by special librarians: An analysis by educational levels. Journal of Librarianship and Information Science, 45(2), 113-139.
  • Pierry, M. (2013). The LCC number of the Beast: A guide to metal music and resources for librarians. Music Reference Services Quarterly, 16(3), 141-159.
  • Phillips, W., & Cogan, B. (2009). Encyclopedia of heavy metal music. Westport, Conn: Greenwood Press.
  • Prytherch, R. (2005). Harrod’s librarians’ glossary and reference book: A directory of over 10,200 terms, organization management, library science, publishing and archive management. Aldershot, Hants, England: Ashgate.
  • Rauscher, F., Shaw, G., & Ky, K. (1993). Music and spatial task performance. Nature, 365(6447), 611.
  • Rauscher, F., Shaw, G., & Ky, K. (1995). Listening to Mozart enhances spatial-temporal reasoning: Towards a neurophysiological basis. Neuroscience Letters, 185(1), 44-47.
  • Recours, R., Aussaguel, F., & Trujillo, N. (2009). Metal music and mental health in France. Culture, Medicine and Psychiatry, 33(3), 473-488.
  • Ringwood, A., Stormes, S., Casey, J., Dougan, K., Fisken, P., & Hudges, N. (2013). Qualification of a music librarian, Rev. 2013 (Draft). Retrieved April 10, 2014, from http://libguides.butler.edu/print_content.php?pid=433132&sid=3544627
  • Saaty, T. (2005). The analytic hierarchy and analytic network processes for the measurement of the intangible criteria and for decision-making. In J. Figueira, S. Greco, and M. Ehrgott (Ed.), Multiple criteria decision analysis: state of the art surveys (pp. 345-408). New York: Springer.
  • Saaty, T. (2008). The analytic hierarchy an analytic network measurement process: Application to decisions under risk. European Journal of Pure and Applied Mathematics, 1(1), 122-196.
  • Saaty, T., & Sodenkamp, M. (2010). The analytic hierarchy and analytic network measurement processes: The measurement of intangibles. In C. Zopounidis and P. Pardalos (Ed.), Handbook of multicriteria analysis (pp. 91-166). Berlin: Springer-Verlag.
  • Sanderson, C., & Gruen, R. (2006). Analytical models for decision making. Maidenhead: Open Univ. Press.
  • Satpathy, S., & Maharana, R. (2011). ICT skills of LIS professionals in engineering institutions of Orissa, India: A case study. Library Philosophy and Practice, 124-135.
  • Schwartz, K., & Fouts, G. (2003). Music preferences, personality style, and developmental issues of adolescents. Journal of Youth and Adolescence, 32(3), 205-213.
  • Sharma, V. (2010). Asset levels of service-based decision support system for municipal infrastructure investment. Edmonton, Alta: University of Alberta. Retrieved May 29, 2014, from http://hdl.handle.net/10048/870
  • Sherman, R., & Seldon, P. (1997). The complete idiot’s guide to classical music. New York: Alpha Books.
  • Short, A., Ahern, N., Holdgate, A., Moris, J., & Sidhu, B. (2010). Using music to reduce noise stress for patients in the emergence department: A pilot study. Music and Medicine, 2(4), 201-207.
  • Shuker, R. (2001). Understanding popular music. London: Routledge.
  • Slawsky, M. (2010). 21st century skills & competencies for music librarianship. Music Library Student Group Resources. Retrieved April 2, 2015, from http://docs.google.com/Doc?docid=0AY36eB5oiHd3ZHZudG56d181Y3Y2bXo0Yzc&hl=en
  • Srdjevic, B. (2005). Combining different prioritization methods in the analytic hierarchy process synthesis. Computers & Operations Research, 32 (7), 1897-1919.
  • Stack, S., Gundlach, J., & Jimmie, L. (1994). The heavy metal subculture and suicide. Suicide & Life-Threatening Behavior, 24(1), 15-23.
  • Steele, K., Ball, T., & Runk, R. (1997). Listening to Mozart does not enhance backwards digit span performance. Perceptual and Motor Skills, 84(3), 1179-1184.
  • Stevenson, J. (2006). Dictionary of information and library management. London: A. & C. Black.
  • Takesue, S. (2010). Music fundamentals: A balanced approach. London: Routledge.
  • Taniguchi, S. (2012). Viewing RDA from FRBR and FRAD: Does RDA represent a different conceptual model?. Cataloging & Classification Quarterly, 50(8), 929-943.
  • Taniguchi, S. (2013). Understanding RDA as a DC applications profile. Cataloging & Classification Quarterly, 51(6), 601-623.
  • The American Bible. (2002). Retrieved April 9, 2014, from http://www.vatican.va/archive/ENG0839/_INDEX.HTM
  • The Hutchinson dictionary of the arts. (2008). Abingdon: Helicon. Retrieved July 10, 2014, from http://www.ebrary.com
  • Thompson, A. (1986). Music cataloging in academic libraries and the case for physical decentralization: A survey. Journal of Academic Librarianship, 12(2), 79-83.
  • Tomaio, C. (2011). Using rhythmic auditory stimulation for rehabilitation. In J. Berger & G. Turow (ed), Music, science, and the rhythmic brain: Cultural and clinical implications (pp. 111-121). New York: Routledge.
  • Torvinen, J. (2009) Can music (libraries) predict our future?. Fontes Artis Musicae, 56(1), 25-28.
  • Walker, D. (2003). Music in the academic library of tomorrow. Notes, 59(4), 817-827.
  • Water, H., & Vries, J. (2006). Choosing a quality improvement project using the analytic hierarchy process. International Journal of Quality & Reliability Management, 23(4), 409-425.
  • Will, U., & Turow, G. (2011). Introduction to entrainment and cognitive ethnomusicology. In J. Berger & G. Turow (Eds.), Music, science, and the rhythmic brain: Cultural and clinical implications (pp. 3-30). New York: Routledge.
  • Wu, I. -C., & Chen, W. -S. (2013). Evaluating the practices in the e-learning platform from the perspective of knowledge management. Journal of Library and Information Studies, 11(1), 1-24.
  • Yılmaz, M. (2006). How to use fuzzy set theory to select a library manager. South African Journal of Libraries and Information Science, 72(3), 236-241.
  • Yılmaz, M. (2010). Analitik Hiyerarşi Süreci (AHS) ve bir uygulama: Lider bir kütüphane müdürü seçimi [The Analytic Hierarchy Process (AHP) and an application: The selection of a library director as a leader]. Türk Kütüphaneciliği (Turkish Librarianship), 24(2), 206-234.
  • Yılmaz, M. (2014). The selection of a children’s librarian: OWA (Ordered Weighted Averaging) as a new model. Journal of Library Administration, 54(7), 573-589.
  • Zammori, F. (2010). The analytic hierarchy and network processes: Applications to the US presidential election and to the market share of ski equipment in Italy. Applied Soft Computing, 10(4), 1001-1012
Toplam 117 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Regular Papers
Yazarlar

Murat Yılmaz

Yayımlanma Tarihi 30 Kasım 2015
Yayımlandığı Sayı Yıl 2015 Cilt: 3 Sayı: 2

Kaynak Göster

APA Yılmaz, M. (2015). The Selection of an Entry-Level Music Librarian: The Analytic Hierarchy Process (AHP) as a New Model. Journal of Balkan Libraries Union, 3(2), 1-13. https://doi.org/10.16918/bluj.95921