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Information Technology Use Patterns and Its Relationships with Firm and Sector Characteristics

Yıl 2016, Cilt: 8 Sayı: 4, 55 - 65, 31.12.2016

Öz








Bu çalışmanın amacı Türk imalat sanayinde faaliyet gösteren firmalarda farklı bilişim teknolojileri kullanım modellerinin
varlığını ve modeller ile firma (çalışan sayısı, sahiplik yapısı, yıllık satış ve ihracat rakamları) ve endüstri (sektör sını
fı ve
rekabet yoğunluğu) özellikleri arasındaki ilişkiyi araştırmaktır. Çalışmada veri standart bir anket formu yardımıyla farklı
sektörlerde faaliyet gösteren 123 firmadan toplanmıştır. Kümeleme analizi sonucu üç farklı bilişim teknolojisi kullanım model
i
(düşük kullanıcılar, takipçiler ve yüksek kullanıcılar) belirlenmiştir. Ayrıca analizler, bilişim teknolojisi kullanım modelleri ile
çalışan sayısı arasında bir ilişki bulunmadığını buna karşın sektör türü, rekabet yoğunluğu, sahiplik yapısı, yıllık satış ve
ihracat rakamları arasında bir ilişki bulunduğunu göstermiştir. Son bölümde,sonuçların teorik ve pratik uygulamaları yanı sıra
çalışmanın sınırları belirtilmiş ve gelecek çalışmalar için öneriler sunulmuştur. 




Kaynakça

  • ddas, S.andPinsonneault, A. (2015). The many faces of information technology interruptions: a taxonomy and preliminary investigation of their performance effects. Information Systems Journal, 25 (3), 231-273. Akmanligil, M. and Palvia, P.C. (2004). Strategies for global information systems development, Information & Management, 42(1), 45–59. Amoako-Gyampah, K. (2003). The relationships among selected business environment factors and manufacturing strategy: insights from an emerging economy. Omega, 31(4), 287–301. Arduin, D., Nascia, L. and Zanfei, A. (2010). Complementary approaches to the diffusion of ICT: Empirical evidence on Italian firms, Working Papers Series in Economics, Mathematics and Statistics, http://www.econ.uniurb.it/RePEc/urb/wpaper/WP_10_02.pdf. Bayo-Moriones, A. and Lera-Lopez, F. (2007). A firm-level analysis of determinants of ICT adoption in Spain. Technovation, 27(6-7), 352–366. Bocquet, R., Brossard, O. and Sabatier, M. (2007). Complementarities in organizational design and the diffusion of information technologies: An empirical analysis.Research Policy, 36(3), 367–386. Craighead, C.W. and Laforge, R.L. (2003).Taxonomy of information technology adoption patterns in manufacturing firms. International Journal of Production Research, 41(11), 2431-2449. De Jong J.P. andMarsili, O. (2006). The fruit flies of innovations: a taxonomy of innovative small firms. Research Policy, 35(2), 213–229. Dwivedi, Y., Mustafee, N., Williams, M.D. and Lal, B. (2009). Classification of information systems research revisited: A keyword analysis approach. Proceedings of Pacific Asia Conference on Information Systems, Hyderabad, India. Eisenhardt, K.M. andJeffrey, A.M. (2000). Dynamic capabilities: What are they?. Strategic Management Journal, 21(10-11), 1105-1121. Sayfa | 64 Fırat, S.Ü. veArıcıgil, Ç. (2000).Performansdeğerlendirmesonuçlarınınanalizineçokdeğ işkenliistatistikyaklaşımı.E.Ü. 8.UlusalYönetimveOrganizasyonKongresi, Nevşehir. Frohlich, M.T.and Dixon, J.R. (2001). A taxonomy of manufacturing strategies revisited. Journal of Operations Management, 19(5), 541–558. Gallego, J.M., Gutierrez, L.H. and Lee, S.H. (2013).A firm- level analysis of ICT adoption in an emerging economy: Evidence from the Colombian manufacturing industries.Development Studies Working Papers No. 362,www.urosario.edu.co/economia/documentos/pdf/dt116/. Galliano, D., Roux, P. and Filippi, M. (2001). Organisational and spatial determinants of ICT adoption: The case of French industrial firms.Environment and Planning A, 33(9), 1643– 1663. Giaglis, G.M. (2001). A taxonomy of business process modeling and information systems modeling techniques. International Journal of Flexible Manufacturing Systems, 13(2), 209-228. Glass, R. L. andVessey, I. (1995).Contemporary application- domain taxonomies.IEEE Software, 12(4), 63-76. Gourlay, A. and Pentecost, E. (2002). The determinants of technology diffusion: Evidence from the UK financial sector. The Manchester School, 70 (2), 185–203. 25-27 Mayıs, AKSARAY ÜNİVERSİTESİ İİBF DERGİSİ, Aralık, 2016, Cilt 8, Sayı 4 Gower, V.and Andrich, R. (2014).A taxonomy for ICT assistive technology products. Technology & Disability, 26 (2/3), 127-136. Grimshaw, D.J. (1992). Towards a taxonomy of information systems: or does anyone need a TAXI?.Journal of Information Technology, 7(1), 30-36. Haller, S. and Siedschlag, I. (2011). Determinants of ICT adoption: Evidence from firm-level data. Applied Economics, 43 (26), 3775-3788. Hair, J.F., Anderson, R.E., Tatham, R.L. and Black, W.C. (1998).Multivariate data analysis. Englewood Cliffs, NJ: Prentice-Hall. Heurix, J., Zimmermann, P., Neubauer, T.andFenz, S. (2015).A taxonomy for privacy enhancing technologies. Computers & Security, 53(September 2015), 1-17. Hicks, J.O. (1993).Management Information Systems: A User Perspective, 3rd Edition, West Publishing Co., New York. Hollenstein, H. and Woerter, M. (2008). Inter- and intra-firm diffusion of technology: The example of e-commerce. Research Policy, 37 (3), 545–564. KetchenD.J.and Shook, C.L., (1996). The application of cluster analysis in strategic management research: an analysis and critique. Strategic Management Journal, 17(6), 441–458. Kurtuluş, K. (1996). Pazarlamaaraştırmaları. İstanbul: 5. Baskı, AvcıolBasım-Yayın. Lai, V.S. and Guynes, J.L. (1997). An assessment of the influence of organizational characteristics on information technology adoption decision: A discriminative approach, IEEE Transactions on Engineering Management, 44(2), 146– 157. Lee, G. and Xia, W. (2006). Organizational size and IT innovation adoption: A meta-analysis. Information & Management, 43(8), 975–985. Lehmann, D.R. (1979). Market research and analysis. Irwin, Homewood. Laudon, K.C. and Laudon, J.P. (1996).Management information systems: Organization and technology, Fourth Edition, Prentice Hall, New Jersey. Loa, C.K.Y.,Wiengarten, F., Humphreys, P., Yeung, A.C.L. and Cheng, T.C.E. (2013).The Impact of contextual factors on the efficacy of ISO 9000 adoption.Journal of Operations Management, 31 (5), 229-235. Love, P.E.D., Irani, Z., Standing, C., lin, C. & Burn, J.M. (2005). The enigma of evaluation: benefits, costs and risks of IT in Australian small–medium-sized enterprises.Information & Management, 42(7), 947–964. Mosenthal, P.B. (1985). Defining reading: Taxonomies and stray definitions.The Reading Teacher, 39(2), 238-240. Mrosek, R., Dehling, T.andSunyaev, A. (2015).Taxonomy of health IT and medication adherence.Health Policy and Technology, 4(3), 215–224. Nickerson, R.C., Varshney, U.andMuntermann, J. (2013).A method for taxonomy development and its application in information systems.European Journal of Information Systems, 22(3), 336-359. O’Brein, J.A. (1994). Introduction to Information Systems, 7th Edition, Irwin, Boston. Öğüt, A. (2001). Bilgiçağındayönetim, 1.Basım, Nobel YayınDağıtım, Ankara. Premkumar, G. and Roberts, M. (1999). Adoption of new information technologies in rural small businesses.Omega, 27(4), 467–484. Shaikh, A.A.andKarjaluoto, H. (2015).Making the most of information technology & systems usage: A literature review, framework and future research agenda.Computers in Human Behavior,49(August),541–566. Sohal, A.S., Schroder, R., Uliana, E.O. and Maguire, W. (2001).Adoption of AMT by South African manufacturers.Integrated Manufacturing Systems, 12(2), 15– 34. Vessey, I., Ramesh,V.and Glass, R.L. (2005).A unified classification system for research in the computing disciplines.Information and Software Technology, 47(4), 245– 255. Vorhies, D.W., Harker, M. and Rao, C.P. (1999).The capabilities and performance advantages of market-driven firms.European Journal of Marketing, 33(11-12), 1171-1202. Westphal, J.D., Gulati, R. and Shortell, S.M. (1997). Customization or conformity? An institutional and network perspective on the content and consequences of TQM adoption.Administrative Science Quarterly,42(2), 366-394. Youssef, M.A. (1994). The impact of the intensity level of computer based technologies on quality. International Journal of Operations and Production Management, 14(4), 4-25. Youssef, A.B., Hadhri, W. and M’Henni, H. (2011). Intra-firm diffusion of innovation: Evidence from Tunisian SME’s in matters of information and communication technologies.Middle East Development Journal, 3(1), 75–97.

Information Technology Use Patterns and Its Relationships with Firm and Sector Characteristics

Yıl 2016, Cilt: 8 Sayı: 4, 55 - 65, 31.12.2016

Öz








The aim of this study is to explore the existence of different patterns of information technology use in the firms operating
Turkish manufacturing sector and the relationship between these patterns and various firm (number of employee, ownership
structure, annual sales and export figure) and sectoral(sector type and competition intensity) characteristics. Data are collected
from 123 firms in ISO 1000 list operating in different sectors using a standard survey form. Three different information
technology use patterns(Low users, Followers and High users) are identified as a result of cluster analysis. Results suggest that
there is no relationship between information technology use patterns and number of employees;conversely it reveals that there
is a significant relationship between sector type, competition intensity, ownership structure, annual sales and export figures. In
final section, the implications of the results are discussed; limitations of the study are noted and additional research is
suggested. 




Kaynakça

  • ddas, S.andPinsonneault, A. (2015). The many faces of information technology interruptions: a taxonomy and preliminary investigation of their performance effects. Information Systems Journal, 25 (3), 231-273. Akmanligil, M. and Palvia, P.C. (2004). Strategies for global information systems development, Information & Management, 42(1), 45–59. Amoako-Gyampah, K. (2003). The relationships among selected business environment factors and manufacturing strategy: insights from an emerging economy. Omega, 31(4), 287–301. Arduin, D., Nascia, L. and Zanfei, A. (2010). Complementary approaches to the diffusion of ICT: Empirical evidence on Italian firms, Working Papers Series in Economics, Mathematics and Statistics, http://www.econ.uniurb.it/RePEc/urb/wpaper/WP_10_02.pdf. Bayo-Moriones, A. and Lera-Lopez, F. (2007). A firm-level analysis of determinants of ICT adoption in Spain. Technovation, 27(6-7), 352–366. Bocquet, R., Brossard, O. and Sabatier, M. (2007). Complementarities in organizational design and the diffusion of information technologies: An empirical analysis.Research Policy, 36(3), 367–386. Craighead, C.W. and Laforge, R.L. (2003).Taxonomy of information technology adoption patterns in manufacturing firms. International Journal of Production Research, 41(11), 2431-2449. De Jong J.P. andMarsili, O. (2006). The fruit flies of innovations: a taxonomy of innovative small firms. Research Policy, 35(2), 213–229. Dwivedi, Y., Mustafee, N., Williams, M.D. and Lal, B. (2009). Classification of information systems research revisited: A keyword analysis approach. Proceedings of Pacific Asia Conference on Information Systems, Hyderabad, India. Eisenhardt, K.M. andJeffrey, A.M. (2000). Dynamic capabilities: What are they?. Strategic Management Journal, 21(10-11), 1105-1121. Sayfa | 64 Fırat, S.Ü. veArıcıgil, Ç. (2000).Performansdeğerlendirmesonuçlarınınanalizineçokdeğ işkenliistatistikyaklaşımı.E.Ü. 8.UlusalYönetimveOrganizasyonKongresi, Nevşehir. Frohlich, M.T.and Dixon, J.R. (2001). A taxonomy of manufacturing strategies revisited. Journal of Operations Management, 19(5), 541–558. Gallego, J.M., Gutierrez, L.H. and Lee, S.H. (2013).A firm- level analysis of ICT adoption in an emerging economy: Evidence from the Colombian manufacturing industries.Development Studies Working Papers No. 362,www.urosario.edu.co/economia/documentos/pdf/dt116/. Galliano, D., Roux, P. and Filippi, M. (2001). Organisational and spatial determinants of ICT adoption: The case of French industrial firms.Environment and Planning A, 33(9), 1643– 1663. Giaglis, G.M. (2001). A taxonomy of business process modeling and information systems modeling techniques. International Journal of Flexible Manufacturing Systems, 13(2), 209-228. Glass, R. L. andVessey, I. (1995).Contemporary application- domain taxonomies.IEEE Software, 12(4), 63-76. Gourlay, A. and Pentecost, E. (2002). The determinants of technology diffusion: Evidence from the UK financial sector. The Manchester School, 70 (2), 185–203. 25-27 Mayıs, AKSARAY ÜNİVERSİTESİ İİBF DERGİSİ, Aralık, 2016, Cilt 8, Sayı 4 Gower, V.and Andrich, R. (2014).A taxonomy for ICT assistive technology products. Technology & Disability, 26 (2/3), 127-136. Grimshaw, D.J. (1992). Towards a taxonomy of information systems: or does anyone need a TAXI?.Journal of Information Technology, 7(1), 30-36. Haller, S. and Siedschlag, I. (2011). Determinants of ICT adoption: Evidence from firm-level data. Applied Economics, 43 (26), 3775-3788. Hair, J.F., Anderson, R.E., Tatham, R.L. and Black, W.C. (1998).Multivariate data analysis. Englewood Cliffs, NJ: Prentice-Hall. Heurix, J., Zimmermann, P., Neubauer, T.andFenz, S. (2015).A taxonomy for privacy enhancing technologies. Computers & Security, 53(September 2015), 1-17. Hicks, J.O. (1993).Management Information Systems: A User Perspective, 3rd Edition, West Publishing Co., New York. Hollenstein, H. and Woerter, M. (2008). Inter- and intra-firm diffusion of technology: The example of e-commerce. Research Policy, 37 (3), 545–564. KetchenD.J.and Shook, C.L., (1996). The application of cluster analysis in strategic management research: an analysis and critique. Strategic Management Journal, 17(6), 441–458. Kurtuluş, K. (1996). Pazarlamaaraştırmaları. İstanbul: 5. Baskı, AvcıolBasım-Yayın. Lai, V.S. and Guynes, J.L. (1997). An assessment of the influence of organizational characteristics on information technology adoption decision: A discriminative approach, IEEE Transactions on Engineering Management, 44(2), 146– 157. Lee, G. and Xia, W. (2006). Organizational size and IT innovation adoption: A meta-analysis. Information & Management, 43(8), 975–985. Lehmann, D.R. (1979). Market research and analysis. Irwin, Homewood. Laudon, K.C. and Laudon, J.P. (1996).Management information systems: Organization and technology, Fourth Edition, Prentice Hall, New Jersey. Loa, C.K.Y.,Wiengarten, F., Humphreys, P., Yeung, A.C.L. and Cheng, T.C.E. (2013).The Impact of contextual factors on the efficacy of ISO 9000 adoption.Journal of Operations Management, 31 (5), 229-235. Love, P.E.D., Irani, Z., Standing, C., lin, C. & Burn, J.M. (2005). The enigma of evaluation: benefits, costs and risks of IT in Australian small–medium-sized enterprises.Information & Management, 42(7), 947–964. Mosenthal, P.B. (1985). Defining reading: Taxonomies and stray definitions.The Reading Teacher, 39(2), 238-240. Mrosek, R., Dehling, T.andSunyaev, A. (2015).Taxonomy of health IT and medication adherence.Health Policy and Technology, 4(3), 215–224. Nickerson, R.C., Varshney, U.andMuntermann, J. (2013).A method for taxonomy development and its application in information systems.European Journal of Information Systems, 22(3), 336-359. O’Brein, J.A. (1994). Introduction to Information Systems, 7th Edition, Irwin, Boston. Öğüt, A. (2001). Bilgiçağındayönetim, 1.Basım, Nobel YayınDağıtım, Ankara. Premkumar, G. and Roberts, M. (1999). Adoption of new information technologies in rural small businesses.Omega, 27(4), 467–484. Shaikh, A.A.andKarjaluoto, H. (2015).Making the most of information technology & systems usage: A literature review, framework and future research agenda.Computers in Human Behavior,49(August),541–566. Sohal, A.S., Schroder, R., Uliana, E.O. and Maguire, W. (2001).Adoption of AMT by South African manufacturers.Integrated Manufacturing Systems, 12(2), 15– 34. Vessey, I., Ramesh,V.and Glass, R.L. (2005).A unified classification system for research in the computing disciplines.Information and Software Technology, 47(4), 245– 255. Vorhies, D.W., Harker, M. and Rao, C.P. (1999).The capabilities and performance advantages of market-driven firms.European Journal of Marketing, 33(11-12), 1171-1202. Westphal, J.D., Gulati, R. and Shortell, S.M. (1997). Customization or conformity? An institutional and network perspective on the content and consequences of TQM adoption.Administrative Science Quarterly,42(2), 366-394. Youssef, M.A. (1994). The impact of the intensity level of computer based technologies on quality. International Journal of Operations and Production Management, 14(4), 4-25. Youssef, A.B., Hadhri, W. and M’Henni, H. (2011). Intra-firm diffusion of innovation: Evidence from Tunisian SME’s in matters of information and communication technologies.Middle East Development Journal, 3(1), 75–97.
Toplam 1 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Derleme Makale
Yazarlar

Hasan Bülbül

Ayşe Topal

Arzum Büyükkeklik

Yayımlanma Tarihi 31 Aralık 2016
Yayımlandığı Sayı Yıl 2016Cilt: 8 Sayı: 4

Kaynak Göster

APA Bülbül, H., Topal, A., & Büyükkeklik, A. (2016). Information Technology Use Patterns and Its Relationships with Firm and Sector Characteristics. Aksaray Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 8(4), 55-65.
AMA Bülbül H, Topal A, Büyükkeklik A. Information Technology Use Patterns and Its Relationships with Firm and Sector Characteristics. ASÜ İİBF Dergisi. Aralık 2016;8(4):55-65.
Chicago Bülbül, Hasan, Ayşe Topal, ve Arzum Büyükkeklik. “Information Technology Use Patterns and Its Relationships With Firm and Sector Characteristics”. Aksaray Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi 8, sy. 4 (Aralık 2016): 55-65.
EndNote Bülbül H, Topal A, Büyükkeklik A (01 Aralık 2016) Information Technology Use Patterns and Its Relationships with Firm and Sector Characteristics. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 8 4 55–65.
IEEE H. Bülbül, A. Topal, ve A. Büyükkeklik, “Information Technology Use Patterns and Its Relationships with Firm and Sector Characteristics”, ASÜ İİBF Dergisi, c. 8, sy. 4, ss. 55–65, 2016.
ISNAD Bülbül, Hasan vd. “Information Technology Use Patterns and Its Relationships With Firm and Sector Characteristics”. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 8/4 (Aralık 2016), 55-65.
JAMA Bülbül H, Topal A, Büyükkeklik A. Information Technology Use Patterns and Its Relationships with Firm and Sector Characteristics. ASÜ İİBF Dergisi. 2016;8:55–65.
MLA Bülbül, Hasan vd. “Information Technology Use Patterns and Its Relationships With Firm and Sector Characteristics”. Aksaray Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, c. 8, sy. 4, 2016, ss. 55-65.
Vancouver Bülbül H, Topal A, Büyükkeklik A. Information Technology Use Patterns and Its Relationships with Firm and Sector Characteristics. ASÜ İİBF Dergisi. 2016;8(4):55-6.