BibTex RIS Kaynak Göster

The Investigation of Perceptions for Human Resource Information Systems via Technology Acceptance Model

Yıl 2015, Cilt: 15 Sayı: 3, 343 - 352, 01.08.2015

Mustafa Aras Yasemin Özdemir Serkan Bayraktaroğlu

Öz

Despite human resource information systems (HRIS) being used more and more for various reasons in organizations, its success depends on many factors. One of the factors affecting the success of HRIS is also users. The purpose of this study is investigate perceptions for human resource information systems (HRIS) via technology acceptance model. Technology acceptance model (TAM) introduced by Davis (1985) which attempts to explain end users to computing technologies. TAM involved external variables, perceived ease of use, perceived usefulness, attitudes, behavioral intention and actual system use. In this study as an external variables software company HRIS training, in house HRIS training, software knowledge, hardware knowledge and programming knowledge has been included in the model and effect between variables were examined. Standardized questionnaire was applied to 302 HRIS users working in the Marmara region. After analyzing the questionnaires, the results were evaluated. As a result, software company HRIS training, in house HRIS training, software knowledge, hardware knowledge and programming knowledge have positive effect on perceived ease of use and perceived usefulness. Perceived ease of use and perceived usefulness have positive effect on behavioral intention, behavioral intention has positive effect on actual system use (HRIS usage). Although it is considered that attitudes have an impact on behavioral intention, in this study these findings were not supported

Anahtar Kelimeler

Human resource information system technology acceptance model HRIS education computer components information

Kaynakça

  • Altarawneh, I. ve Z. Al-Shaqairat. (2010) “Human Resource Information Systems in Jordanian University” International Journal of Business and Management, 5(10): 113-127.
  • Aras, M. (2012) “İnsan Kaynakları Bilgi Sistemlerinin Başarısında Rol Oynayan Faktörler: Bir Araştırma” Yayın- lanmamış Yüksek Lisans Tezi, Sakarya, Sakarya Üniversi- tesi SBE.
  • Aras, M. ve Bayraktaroğlu, S. (2013) “İnsan Kaynak- ları Bilgi Sistemlerinde Kullanıcı Bilgi Tatmini: Sistemsel Değişkenlerin Etkisi” Sakarya İktisat Dergisi, 1(5):166- 192.
  • Ball, K. S. (2001) “The Use of Human Resource In- formation Systems” Personnel Review, 30 (6): 677-693.
  • Bayraktaroğlu, S. ve Tunçbilek, M..(2002) “Bilgi Top- lumunda İKY’nin Değişen Yüzü” Kocaeli Üniversitesi, 1.Ulusal Bilgi, Ekonomi ve Yönetim Kongresi Bildiriler Kitabı.
  • Beadles II, N., A. Lovery, M. Christopher ve Johns, K. (2005) “The Impact of Human Resource Informati- on Systems: An Exploratory Study in the Public Sector” Communications of the IIMA, 5(4).
  • Beckers, A. M. ve M. Z. Bsat. (2002) “A DSS classifi- cation model for research in human resource information systems” Information Systems Management, 19(3): 41-50.
  • Burton-Jones, A. ve Hubona, G. S. (2006) “The me- diation of external variables in the technology acceptance model” Information & Management, 43(6): 706-717.
  • Chandra, R. P. (2009) “Role of HRIS in improving Modern HR operations” Advances In Management, 2(12): 21-24.
  • Cheung, R. ve Vogel, D. (2013) “Predicting user ac- ceptance of collaborative technologies: An extension of the technology acceptance model for e-learning” Compu- ters & Education, 63: 160-175.
  • Chtourou, M.S. ve Souiden, N. (2010) “Rethinking the TAM model: time to consider fun” Journal of Consu- mer Marketing, 27(4): 336-344.
  • Dasgupta, S. Granger, M. ve McGarry, N. (2002) “User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model” Group Decision and Negotiation, 11: 87-100.
  • Davis, F. D. (1985) “A Technology Acceptance: Mo- del for Empirically Testing New End User Information Systems: Theory and Results”, Doctoral dissertation, Sloan School of Management, Massachusetts Institute of Technology.
  • Davis, F. D. (1989) “Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Techno- logy” MIS Quarterly, September: 319-340.
  • Davis, F. D. ve Venkatesh, V. (2004) “Toward prep- rototype user acceptance testing of new information systems: implications for software project management” IEEE Transactions on Engineering Management, 51(1): 31- 46.
  • Davis, F.D., Bagozzi, R.P. ve Warshaw, P.R. (1989) “User Acceptance of Computer Technology: A Compa- rison of Two Theoretical Models” Management Science, 35(8): 982-1003.
  • Fisher, S.L., ve Howell, A.W. (2004) “Beyond User Acceptance: An Examination of Employee Reactions to Information Technology Systems” Human Resource Ma- nagement, 43: 243–258.
  • Haines, V. Y ve A. Petit. (1997) “Conditions for suc- cessful human resource information systems” Human Re- source Management, 36(2): 261-275.
  • Horton, R.P., Buck, T. Waterson, P. E. ve Clegg, C.W. (2001) “Explaining intranet use with the technology ac- ceptance model” Journal of Information Technology, 16(4): 237-249.
  • Hussein, Z., J. Wallace ve N.E. Cornelius. (2007) “The use and impact of human resource information systems on human resource management professionals” Information and Management, 44: 74-89.
  • Jan, A. ve Contreras, V. (2011) “Technology accep- tance model for the use of information technology in uni- versities” Computers in Human Behavior, 27(2): 845-851.
  • Kovach, K. A ve Cathcart, C. E. (1999) “Human Re- source Information Systems (HRIS): Providing Business with Rapid Data Access, Information Exchange and Stra- tegic Advantage” Public Personnel Management, 28(2): 275-282.
  • Lederer, A. L., Maupin, D.J., Sena, M. P., ve Zhu- ang, Y. (2000) “The technology acceptance model and the World Wide Web” Decision Support Systems, 29(3): 269-282.
  • Lee, Y. (2006) “An empirical investigation into factors influencing the adoption of an e-learning system” Online Information Review, 30(5): 517-541.
  • Lee, D.Y. ve Lohte, M.R. (2013) “User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model” Computers & Education, 61: 193-208.
  • Lengnick-Hall, M. L. ve Moritz, S. (2003) “The Impact of e-HR on the Human Resource Management Function” Journal of Labor Research, 24(3): 365-379.
  • Ma, W.W., Anderson, R. ve Streith, K.O. (2005) “Examining User Acceptance of Computer Technology: an Empirical Study of Student Teachers, Journal of Com- puter Assisted Learning, 2: 387-395.
  • Martinsons, M. G. ve Chong, P.K.C. (1999) “The Inf- luence of Human Factors and Specialist Involvement on Information Systems Success” Human Relations, 52(1): 123-152.
  • Mekic, E. ve Özlen, M.K. (2014) “Acceptance of Smartphones by Users in BİH Through Extended Tech- nology Acceptance Model” European Researcher, 67(1-2): 136-150.
  • Ngai, E.W.T ve Wat, F.K.T. (2006) “Human resource information systems: a review and empirical analysis” Per- sonnel Review, 35(3): 297-314.
  • Özer, G. ve Yılmaz, E. (2010) “Mantıklı Eylem Teo- risi (MET) ile Muhasebecilerin Bilgi Teknolojisi Kulla- nımına Yönelik Bir Uygulama” İktisat, İşletme ve Finans, 25: 65-88.
  • Özer, G., Özcan, M., ve Aktaş, S. (2010) “Muhase- becilerin Bilgi Teknolojisi Kullanımının Teknoloji Ka- bul Modeli ile İncelenmesi” Journal of Yaşar University, 5(19):3278-3293.
  • Petter, S., DeLone, W., ve McLean, E. (2008) “Me- asuring Information Systems Success: Models, Dimensi- ons, Measures, and Interrelationships” European Journal of Information Systems, 17:236–263.
  • Raymond, L. (1988) “The impact of computer trai- ning on the attitudes and usage behavior of small business manager” Journal of Small Business Manager, 26(3): 8-13.
  • Seddon, P.B. (1997) ”A Respecification and Exten- sion of the DeLone and McLean Model of IS Success” Information System Research, 8: 240–253.
  • Tannenbaum, S. (1990) “Human Resource Informa- tion Systems: User Group Applications” Journal of Systems Management, 41(1):27-32.
  • Voermans, M., ve Van Veldhoven, M. (2007) “Atti- tude towards E-HRM: An Empirical Study at Philips” Personnel Review, 36: 887–902.
  • Winkler, S., König, C.J. ve Kleinmann, M. (2013) “What makes human resource information successful? Mangers perceptions of attributes for successful human resource information” International Journal of Human Re- source Management, 24(2): 227-242.

İnsan Kaynakları Bilgi Sistemlerine Yönelik Algıların Teknoloji Kabul Modeli İle İncelenmesi

Yıl 2015, Cilt: 15 Sayı: 3, 343 - 352, 01.08.2015

Mustafa Aras Yasemin Özdemir Serkan Bayraktaroğlu

Öz

İnsan kaynakları bilgi sistemleri (İKBS) işletmelerde çeşitli nedenlerle giderek daha fazla kullanılmaya başlanmasına rağmen başarısı birçok faktöre bağlıdır. İKBS başarısını etkileyen faktörlerden biri de kullanıcılardır. Bu çalışmanın amacı, insan kaynakları bilgi sistemleri kullanıcılarının sisteme yönelik algılarının teknoloji kabul modeli ile incelenmesidir. Teknoloji Kabul Modeli Davis (1985) tarafından geliştirilmiş ve dışsal değişkenler, algılanan fayda, algılanan kullanım kolaylığı, kullanıma yönelik tutum, davranışa yönelik niyet ve gerçekleşen davranış değişkenlerinden oluşmaktadır. Bu çalışmada dışsal değişken olarak yazılım şirketi İKBS eğitimi, kurum içi İKBS eğitimi, yazılım bilgisi, donanım bilgisi, programlama bilgisi modele dâhil edilmiş ve değişkenler arasındaki etki incelenmiştir. Araştırma kapsamında Marmara bölgesinde çalışan 302 İKBS kullanıcısına standardize anket uygulanmış, daha sonra anketler analiz edilmiş ve bulgular değerlendirilmiştir. Araştırma sonucuna göre; yazılım şirketi İKBS eğitimi, kurum içi İKBS eğitimi, yazılım bilgisi, donanım bilgisi, programlama bilgisi değişkenlerinin algılanan kullanım kolaylığı ve algılanan fayda üzerinde pozitif etkiye sahiptir. Algılanan kullanım kolaylığı algılanan fayda üzerinde pozitif etkiye sahiptir. Algılanan kullanım kolaylığı ve algılanan fayda niyet üzerinde; niyet ise gerçekleşen davranış (İKBS kullanımı) üzerinde pozitif etkiye sahiptir. Tutumun niyet üzerinde etkisinin olduğu düşünülmesine rağmen araştırma bulguları bu düşünceyi desteklememiştir

Anahtar Kelimeler

İnsan kaynakları bilgi sistemi teknoloji kabul modeli İKBS eğitimi bilgisayar bileşenleri bilgisi

Kaynakça

  • Altarawneh, I. ve Z. Al-Shaqairat. (2010) “Human Resource Information Systems in Jordanian University” International Journal of Business and Management, 5(10): 113-127.
  • Aras, M. (2012) “İnsan Kaynakları Bilgi Sistemlerinin Başarısında Rol Oynayan Faktörler: Bir Araştırma” Yayın- lanmamış Yüksek Lisans Tezi, Sakarya, Sakarya Üniversi- tesi SBE.
  • Aras, M. ve Bayraktaroğlu, S. (2013) “İnsan Kaynak- ları Bilgi Sistemlerinde Kullanıcı Bilgi Tatmini: Sistemsel Değişkenlerin Etkisi” Sakarya İktisat Dergisi, 1(5):166- 192.
  • Ball, K. S. (2001) “The Use of Human Resource In- formation Systems” Personnel Review, 30 (6): 677-693.
  • Bayraktaroğlu, S. ve Tunçbilek, M..(2002) “Bilgi Top- lumunda İKY’nin Değişen Yüzü” Kocaeli Üniversitesi, 1.Ulusal Bilgi, Ekonomi ve Yönetim Kongresi Bildiriler Kitabı.
  • Beadles II, N., A. Lovery, M. Christopher ve Johns, K. (2005) “The Impact of Human Resource Informati- on Systems: An Exploratory Study in the Public Sector” Communications of the IIMA, 5(4).
  • Beckers, A. M. ve M. Z. Bsat. (2002) “A DSS classifi- cation model for research in human resource information systems” Information Systems Management, 19(3): 41-50.
  • Burton-Jones, A. ve Hubona, G. S. (2006) “The me- diation of external variables in the technology acceptance model” Information & Management, 43(6): 706-717.
  • Chandra, R. P. (2009) “Role of HRIS in improving Modern HR operations” Advances In Management, 2(12): 21-24.
  • Cheung, R. ve Vogel, D. (2013) “Predicting user ac- ceptance of collaborative technologies: An extension of the technology acceptance model for e-learning” Compu- ters & Education, 63: 160-175.
  • Chtourou, M.S. ve Souiden, N. (2010) “Rethinking the TAM model: time to consider fun” Journal of Consu- mer Marketing, 27(4): 336-344.
  • Dasgupta, S. Granger, M. ve McGarry, N. (2002) “User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model” Group Decision and Negotiation, 11: 87-100.
  • Davis, F. D. (1985) “A Technology Acceptance: Mo- del for Empirically Testing New End User Information Systems: Theory and Results”, Doctoral dissertation, Sloan School of Management, Massachusetts Institute of Technology.
  • Davis, F. D. (1989) “Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Techno- logy” MIS Quarterly, September: 319-340.
  • Davis, F. D. ve Venkatesh, V. (2004) “Toward prep- rototype user acceptance testing of new information systems: implications for software project management” IEEE Transactions on Engineering Management, 51(1): 31- 46.
  • Davis, F.D., Bagozzi, R.P. ve Warshaw, P.R. (1989) “User Acceptance of Computer Technology: A Compa- rison of Two Theoretical Models” Management Science, 35(8): 982-1003.
  • Fisher, S.L., ve Howell, A.W. (2004) “Beyond User Acceptance: An Examination of Employee Reactions to Information Technology Systems” Human Resource Ma- nagement, 43: 243–258.
  • Haines, V. Y ve A. Petit. (1997) “Conditions for suc- cessful human resource information systems” Human Re- source Management, 36(2): 261-275.
  • Horton, R.P., Buck, T. Waterson, P. E. ve Clegg, C.W. (2001) “Explaining intranet use with the technology ac- ceptance model” Journal of Information Technology, 16(4): 237-249.
  • Hussein, Z., J. Wallace ve N.E. Cornelius. (2007) “The use and impact of human resource information systems on human resource management professionals” Information and Management, 44: 74-89.
  • Jan, A. ve Contreras, V. (2011) “Technology accep- tance model for the use of information technology in uni- versities” Computers in Human Behavior, 27(2): 845-851.
  • Kovach, K. A ve Cathcart, C. E. (1999) “Human Re- source Information Systems (HRIS): Providing Business with Rapid Data Access, Information Exchange and Stra- tegic Advantage” Public Personnel Management, 28(2): 275-282.
  • Lederer, A. L., Maupin, D.J., Sena, M. P., ve Zhu- ang, Y. (2000) “The technology acceptance model and the World Wide Web” Decision Support Systems, 29(3): 269-282.
  • Lee, Y. (2006) “An empirical investigation into factors influencing the adoption of an e-learning system” Online Information Review, 30(5): 517-541.
  • Lee, D.Y. ve Lohte, M.R. (2013) “User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model” Computers & Education, 61: 193-208.
  • Lengnick-Hall, M. L. ve Moritz, S. (2003) “The Impact of e-HR on the Human Resource Management Function” Journal of Labor Research, 24(3): 365-379.
  • Ma, W.W., Anderson, R. ve Streith, K.O. (2005) “Examining User Acceptance of Computer Technology: an Empirical Study of Student Teachers, Journal of Com- puter Assisted Learning, 2: 387-395.
  • Martinsons, M. G. ve Chong, P.K.C. (1999) “The Inf- luence of Human Factors and Specialist Involvement on Information Systems Success” Human Relations, 52(1): 123-152.
  • Mekic, E. ve Özlen, M.K. (2014) “Acceptance of Smartphones by Users in BİH Through Extended Tech- nology Acceptance Model” European Researcher, 67(1-2): 136-150.
  • Ngai, E.W.T ve Wat, F.K.T. (2006) “Human resource information systems: a review and empirical analysis” Per- sonnel Review, 35(3): 297-314.
  • Özer, G. ve Yılmaz, E. (2010) “Mantıklı Eylem Teo- risi (MET) ile Muhasebecilerin Bilgi Teknolojisi Kulla- nımına Yönelik Bir Uygulama” İktisat, İşletme ve Finans, 25: 65-88.
  • Özer, G., Özcan, M., ve Aktaş, S. (2010) “Muhase- becilerin Bilgi Teknolojisi Kullanımının Teknoloji Ka- bul Modeli ile İncelenmesi” Journal of Yaşar University, 5(19):3278-3293.
  • Petter, S., DeLone, W., ve McLean, E. (2008) “Me- asuring Information Systems Success: Models, Dimensi- ons, Measures, and Interrelationships” European Journal of Information Systems, 17:236–263.
  • Raymond, L. (1988) “The impact of computer trai- ning on the attitudes and usage behavior of small business manager” Journal of Small Business Manager, 26(3): 8-13.
  • Seddon, P.B. (1997) ”A Respecification and Exten- sion of the DeLone and McLean Model of IS Success” Information System Research, 8: 240–253.
  • Tannenbaum, S. (1990) “Human Resource Informa- tion Systems: User Group Applications” Journal of Systems Management, 41(1):27-32.
  • Voermans, M., ve Van Veldhoven, M. (2007) “Atti- tude towards E-HRM: An Empirical Study at Philips” Personnel Review, 36: 887–902.
  • Winkler, S., König, C.J. ve Kleinmann, M. (2013) “What makes human resource information successful? Mangers perceptions of attributes for successful human resource information” International Journal of Human Re- source Management, 24(2): 227-242.
Toplam 38 adet kaynakça vardır.

Ayrıntılar

Diğer ID JA77NE75CV
Bölüm Araştırma Makalesi
Yazarlar

Mustafa Aras Bu kişi benim

Yasemin Özdemir Bu kişi benim

Serkan Bayraktaroğlu

Yayımlanma Tarihi 1 Ağustos 2015
Yayımlandığı Sayı Yıl 2015 Cilt: 15 Sayı: 3

Kaynak Göster

APA Aras, M., Özdemir, Y., & Bayraktaroğlu, S. (2015). The Investigation of Perceptions for Human Resource Information Systems via Technology Acceptance Model. Ege Academic Review, 15(3), 343-352.
AMA Aras M, Özdemir Y, Bayraktaroğlu S. The Investigation of Perceptions for Human Resource Information Systems via Technology Acceptance Model. eab. Ağustos 2015;15(3):343-352.
Chicago Aras, Mustafa, Yasemin Özdemir, ve Serkan Bayraktaroğlu. “The Investigation of Perceptions for Human Resource Information Systems via Technology Acceptance Model”. Ege Academic Review 15, sy. 3 (Ağustos 2015): 343-52.
EndNote Aras M, Özdemir Y, Bayraktaroğlu S (01 Ağustos 2015) The Investigation of Perceptions for Human Resource Information Systems via Technology Acceptance Model. Ege Academic Review 15 3 343–352.
IEEE M. Aras, Y. Özdemir, ve S. Bayraktaroğlu, “The Investigation of Perceptions for Human Resource Information Systems via Technology Acceptance Model”, eab, c. 15, sy. 3, ss. 343–352, 2015.
ISNAD Aras, Mustafa vd. “The Investigation of Perceptions for Human Resource Information Systems via Technology Acceptance Model”. Ege Academic Review 15/3 (Ağustos 2015), 343-352.
JAMA Aras M, Özdemir Y, Bayraktaroğlu S. The Investigation of Perceptions for Human Resource Information Systems via Technology Acceptance Model. eab. 2015;15:343–352.
MLA Aras, Mustafa vd. “The Investigation of Perceptions for Human Resource Information Systems via Technology Acceptance Model”. Ege Academic Review, c. 15, sy. 3, 2015, ss. 343-52.
Vancouver Aras M, Özdemir Y, Bayraktaroğlu S. The Investigation of Perceptions for Human Resource Information Systems via Technology Acceptance Model. eab. 2015;15(3):343-52.
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