Skip to main content
Log in

An empirical investigation of the effects of firm characteristics on the propensity to adopt cloud computing

  • Original Article
  • Published:
Information Systems and e-Business Management Aims and scope Submit manuscript

Abstract

Cloud computing (CC) is emerging as a new paradigm of resource acquisition and management of information and communication technologies (ICT) by firms, which can offer significant benefits, but at the same time can pose significant risks as well, so its adoption by firms has been lower than the initial expectations. Therefore, it is quite important to gain a better understanding of the factors affecting positively or negatively the adoption of CC. This paper presents an empirical investigation of the effects on a firm’s propensity to adopt CC of a set of firm characteristics referring to technological infrastructure, strategy, personnel skills, size and competition. Its conceptual foundation is the Technology, Organization and Environment theory of technological innovation adoption. Our study is based on data from 676 European manufacturing firms from the glass, ceramics and cement sectors, which have been collected through the e-Business Survey of the European Commission. The results indicate that in the above sectors ICT infrastructure sophistication has the strongest positive effect on CC adoption propensity among all examined firm characteristics. Furthermore, we have found that the existence of an ICT investment reduction strategy, the employment of specialized ICT personnel and the existence of previous experience of ICT outsourcing also have positive effects on a firm’s propensity to adopt CC. On the contrary, employees ICT skills, price and quality competition do not affect CC adoption propensity. Finally, our results also indicate that in the three examined sectors firm size has no significant influence on the propensity to adopt CC.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. The glass, ceramics and cement sectors are long-established and mature manufacturing sectors in the European Union (EU), in which EU has a trade surplus in international trade. These sectors are important suppliers of the construction sector. Further, they provide inputs to aerospace, automobile and electronics sectors and produce themselves household consumer goods (Empirica GmbH 2009).

  2. The TOE approach has been used as theoretical background also in part of earlier empirical literature on firm level adoption of various ICT, which we do not pursue further here; see, e.g., Hong and Zhu (2006), Pan and Jang (2008), Chong and Ooi (2008), Oliveira and Martins (2010), Thiesse et al. (2011), also see review by Baker (2011).

  3. As there is high level of correlation between them and in order to avoid multi-collinearity problems (Greene 2011; Sreejesh et al. 2014) we did not include both of them in the same model, but we estimated the above model separately for product and for process innovation.

  4. It is also almost impossible to find valid instruments for endogeneity tests (see, e.g., Rivers and Vuong 1988) in our cross-section data.

  5. We estimated also these two versions of our model using instead of the ICT infrastructure sophistication independent variable each of its component variables (use of ERP, CRM, SCM, SRM systems), and found positive statistically significant effects of all four on CC adoption propensity.

  6. For this reason we do not need to estimate marginal effects.

References

  • Aghion P, Bloom N, Blundell R, Griffith R, Howitt P (2005) Competition and innovation: an inverted-U relationship. Q J Econ 120(2):701–728

    Google Scholar 

  • Alshamaila Y, Papagiannidis S (2014) Cloud computing adoption by SMEs in the north east of England—a multi-perspective framework. J Enterp Inf Manag 26(3):250–275

    Article  Google Scholar 

  • Arvanitis S, Loukis E, Diamantopoulou V (2013) The effect of soft ICT capital on innovation performance of Greek firms. J Enterp Inf 26(6):679–701

    Article  Google Scholar 

  • Arvanitis S, Loukis E, Diamantopoulou V (2016) Are ICT, workplace organization and human capital relevant for innovation? A comparative study based on Swiss and Greek micro data. International Journal of the Economics of Business (published on Taylor & Francis Online—retrieved at http://www.tandfonline.com/doi/full/10.1080/13571516.2016.1186385 at 17/6/2016)

  • Baker J (2011) The technology–organization–environment framework. In: Dwivedi Y, Wade M, Schneberger S (eds) Information systems theory: explaining and predicting our digital society. Springer, New York, pp 231–246

    Google Scholar 

  • Benlian A, Hess T (2011) Opportunities and risks of software-as-a-service: findings from a survey of IT executives. Decis Support Syst 52(1):232–246

    Article  Google Scholar 

  • Benlian A, Hess T, Buxmann P (2009) Drivers of SaaS-adoption—an empirical study of different application types. Bus Inf Syst Eng 1(5):357–369

    Article  Google Scholar 

  • Berman SJ, Kesterson-Townes L, Marshall A, Srivathsa R (2012) How cloud computing enables process and business model innovation. Strategy Leadersh 40(4):27–35

    Article  Google Scholar 

  • Brynjolfsson E, Hofmann P, Jordan J (2010) Economic and business dimensions cloud computing and electricity: beyond the utility model. Commun ACM 53(5):32–34

    Article  Google Scholar 

  • Chong AYL, Ooi KB (2008) Adoption of interorganizational system standards in supply chains: an empirical analysis of RosettaNet standards. Ind Manag Data Syst 108(4):529–547

    Article  Google Scholar 

  • Davis FD (1986) A technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral Dissertation, Sloan School of Management, MIT, Cambridge, MA

  • Fink L, Neumann S (2007) Gaining agility through IT personnel capabilities: the mediating role of IT infrastructure capabilities. J Assoc Inf Syst 8(8):440–462

    Google Scholar 

  • Gangwar H, Date H, Ramaswamy R (2015) Understanding determinants of cloud computing adoption using an integrated TAM–TOE model. J Enterp Inf Manag 28(1):107–130

    Article  Google Scholar 

  • Garrison G, Kim S, Wakefield R (2012) Factors leading to the successful deployment of cloud computing. Commun ACM 55(9):62–68

    Article  Google Scholar 

  • GmbH Empirica (2009) ICT and e-Business Impact in the glass, ceramics and cement industry. European Commission, DG Enterprise & Industry, Bohn/Brussels

    Google Scholar 

  • Greene WH (2011) Econometric analysis. Prentice Hall Inc, Upper Saddle River

    Google Scholar 

  • Gujarati DN (2009) Basic econometrics. Mc-Graw Hill Higher Education, New York

    Google Scholar 

  • Gupta P, Seetharaman A, Rai JR (2013) The usage and adoption of cloud computing by small and medium enterprises. Int J Inf Manag 33(5):861–874

    Article  Google Scholar 

  • Gutierrez A, Boukrami E, Lumsden R (2015) Technological, organizational and environmental factors influencing managers’ decision to adopt cloud computing in the UK. J Enterp Inf Manag 28(6):788–807

    Article  Google Scholar 

  • Hoberg P, Wollersheim J, Krcmar H (2012) The business perspective on cloud computing—a literature review of research on cloud computing. In: Proceedings of the American conference on information systems (AMCIS) 2012

  • Hong W, Zhu K (2006) Migrating to internet-based e-commerce: factors affecting e-commerce adoption and migration at the firm level. Inf Manag 43(2):204–221

    Article  Google Scholar 

  • Hsu CL, Lin JCC (2015) Factors affecting the adoption of cloud services in enterprises. Inf Syst e-Bus Manag 82:11 (in press)

    Google Scholar 

  • Hsu PF, Ray S, Li-Hsieh YY (2014) Examining cloud computing adoption intention, pricing mechanism and deployment model. Int J Inf Manag 34(4):474–488

    Article  Google Scholar 

  • Johansson B, Alajbegovic A, Alexopoulos V, Desalermos A (2015) Cloud ERP adoption opportunities and concerns: the role of organizational size. In: 48th Hawaii international conference on system sciences (HICSS) 2015, Kauai, Hawaii

  • King WR, He J (2006) A meta-analysis of the technology acceptance model. Inf Manag 43(6):740–755

    Article  Google Scholar 

  • Kung L, Cegielski CG, Kung HJ (2015) An integrated environmental perspective on software as a service adoption in manufacturing and retail firms. J Inf Technol 30(4):352–363

    Article  Google Scholar 

  • Lacity MC, Khan S, Willcocks L (2009) A review of the IT outsourcing literature: insights for practice. J Strateg Inf Syst 18(3):130–146

    Article  Google Scholar 

  • Lacity MC, Khan S, Yan A, Willcocks L (2010) A review of the IT outsourcing empirical literature and future research directions. J Inf Technol 25:395–433

    Article  Google Scholar 

  • Lopez-Garcia P, Montero JM (2012) Spillovers and absorptive capacity in the decision to innovate of Spanish firms: the role of human capital. Econ Innov New Technol 21(7):589–612

    Article  Google Scholar 

  • Low C, Chen Y (2011) Understanding the determinants of cloud computing adoption. Ind Manag Data Syst 111(7):1006–1023

    Article  Google Scholar 

  • Mangula IS, Weerd I, Brinkkemper S (2014) The adoption of software-as-service: an Indonesian case study. In: Proceedings in Pacific Asia conference on information systems (PACIS), 2014

  • Marston S, Li Z, Bandyopadhyay S, Zhang J, Ghalsasi A (2011) Cloud computing—the business perspective. Decis Support Syst 51(1):176–189

    Article  Google Scholar 

  • McConnell CR, Brue SL, Flynn SM (2011) Economics: principles, problems, and policies, 19th edn. Mc-Graw Hill Education, New York

    Google Scholar 

  • Mell P, Grance T (2010) The NIST definition of cloud computing. Commun ACM 53(6):50

    Google Scholar 

  • Müller SD, Holm SR, Søndergaard J (2015) Benefits of cloud computing: literature review in a maturity model perspective. Commun Assoc Inf Syst 37:851–878

    Google Scholar 

  • Oliveira T, Martins MF (2010) Understanding e-business adoption across industries in European countries. Ind Manag Data Syst 110(9):1337–1354

    Article  Google Scholar 

  • Oliveira T, Thomas M, Espadanal M (2014) Assessing the determinants of cloud computing adoption: an analysis of the manufacturing and services sectors. Inf Manag 51(5):497–510

    Article  Google Scholar 

  • Pan MJ, Jang WY (2008) Determinants of the adoption of enterprise resource planning within the technology–organization–environment framework: Taiwan’s communications industry. J Comput Inf Syst 48(3):94–102

    Google Scholar 

  • Rivers D, Vuong Q (1988) Limited information estimators and exogeneity tests for simultaneous probit models. J Econom 39(3):347–366

    Article  Google Scholar 

  • Rogers E (2003) Diffusion of innovations, 15th edn. The Free Press, New York

    Google Scholar 

  • Saedi A and Iahad NA (2013) An integrated theoretical framework for cloud computing adoption by small and medium-sized enterprises. In: Proceedings of Pacific Asia conference (PACIS) 2013, Jeju Island

  • Saya S, Pee L, Kankanhalli A (2010) The impact of institutional influences on perceived technological characteristics and real options in cloud computing adoption. In: Proceedings of international conference on information systems (ICIS) 2010, St. Louis

  • Scott Long J (1997) Regression models for categorical and limited dependent variables. Sage, Thousand Oaks

    Google Scholar 

  • Siepermann M, Sutaj A, Lübbecke P, Lackes R (2016) Refuse to walk on clouds—why firms still do not use cloud computing. An empirical study of barriers and enhancers. In: Proceedings of the 49th annual Hawaii international conference on system sciences (HICSS-49), Kauai, Hawai

  • Sreejesh S, Mohapatra S, Anusree MR (2014) Business research methods—an applied orientation. Springer, New York

    Google Scholar 

  • Thiesse F, Staake T, Schmitt P, Fleisch E (2011) The rise of the “next-generation bar code”: an international RFID adoption study. Supply Chain Manag Int J 16(5):328–345

    Article  Google Scholar 

  • Tornatzky LG, Fleischer M (1990) The processes of technological innovation. Lexington Books, Lexington

    Google Scholar 

  • Turner M, Kitchenham B, Brereton P, Charters S, Budgen D (2010) Does the technology acceptance model predict actual use? A systematic literature review. Inf Softw Technol 52(5):463–479

    Article  Google Scholar 

  • Vandenbussche JP, Aghion P, Meghir C (2006) Growth, distance to frontier and composition of human capital. J Econ Growth 11(2):97–127

    Article  Google Scholar 

  • Venders W, Whitley E (2012) A critical review of cloud computing: researching desires and reality. J Inf Technol 27:179–197

    Article  Google Scholar 

  • Vinding AL (2006) Absorptive capacity and innovative performance: a human capital approach. Econ Innov New Technol 15(4–5):507–517

    Article  Google Scholar 

  • Willcocks L, Venters W, Whitley EA (2013) Cloud sourcing and innovation: Slow train coming? Strateg Outsourc Int J 6(2):184–202

    Article  Google Scholar 

  • Willcocks L, Venters W, Whitley EA (2014) Moving to the cloud corporation. Palgrave Millan, London

    Book  Google Scholar 

  • Wu WW (2011a) Developing an explorative model for SaaS adoption. Expert Syst Appl 38(12):15057–15064

    Article  Google Scholar 

  • Wu WW (2011b) Mining significant factors affecting the adoption of SaaS using the rough set approach. J Syst Softw 84(3):435–441

    Article  Google Scholar 

  • Yigitbasioglu O (2014) Modelling the intention to adopt cloud computing services: a transaction cost theory perspective. Australas J Inf Syst 18(3):193–210

    Google Scholar 

  • Zhang Q, Cheng L, Boutaba R (2010) Cloud computing: state-of-the-art and research challenges. J Internet Serv Appl 1(1):7–18

    Article  Google Scholar 

  • Zhu K, Kraemer K, Xu S (2003) Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors. Eur J Inf Syst 12:251–268

    Article  Google Scholar 

  • Zhu K, Kraemer K, Xu S, Dedrick J (2004) Information technology payoff in e-business environments: an international perspective on value creation of e-business in the financial services industry. J Manag Inf Syst 21(1):17–54

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Euripidis Loukis.

Appendix 1

Appendix 1

See Table 6.

Table 6 E-business survey questions used

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Loukis, E., Arvanitis, S. & Kyriakou, N. An empirical investigation of the effects of firm characteristics on the propensity to adopt cloud computing. Inf Syst E-Bus Manage 15, 963–988 (2017). https://doi.org/10.1007/s10257-017-0338-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10257-017-0338-y

Keywords

Navigation