Skip to main content

Advertisement

Log in

Service Innovations in Cloud Computing: A Study of Top Management Leadership, Absorptive Capacity, Government Support, and Learning Orientation

  • Published:
Journal of the Knowledge Economy Aims and scope Submit manuscript

Abstract

Cloud computing is gaining in popularity for organizations due to the service innovations it provides including better collaborative functions, increased flexibility, and higher efficiency outcomes. This paper examines cloud computing service innovation using social cognitive theory as the theoretical framework to understand its role in the knowledge economy. A number of hypotheses are derived from the literature review to understand the relationships between top management leadership, absorptive capacity, government support, learning orientation, and attitudes towards cloud computing service innovations. These hypotheses are tested using results from a survey questionnaire sent to managers of information and communications technology organizations in the Queensland region of Australia. The results indicate that top management leadership and absorptive capacity have a positive effect on attitude towards service innovations but a negative relationship exists between government support and performance with service innovation attitudes. Learning orientation was found not to be significant in terms of attitudes towards service innovation. This paper contributes to the literature on the knowledge economy by addressing the need for more emphasis on the process of creating service innovations that generates value in an organizational context. Managerial implications and suggestions for future research are also stated.

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.

Similar content being viewed by others

References

  • Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs: Prentice Hall.

    Google Scholar 

  • Arpaci, I., Kilicer, K., & Bardaki, S. (2015). Effects of security and privacy concerns on educational use of cloud services. Computers in Human Behavior, 45, 93–98.

    Article  Google Scholar 

  • Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs: Prentice Hall.

    Google Scholar 

  • Behrend, T. S., Wiebe, E. N., London, J. E., & Johnson, E. C. (2011). Cloud computing adoption and usage in community colleges. Behaviour & Information Technology, 30(2), 231–240.

    Article  Google Scholar 

  • Castellacci, F., & Zheng, J. (2010). Technological regimes, Schumpeterian patterns of innovation and firm-level productivity growth. Industrial and Corporate Change, 19(6), 1829–1865.

    Article  Google Scholar 

  • Chatterjee, D., Grewai, R., & Sambamurthy, V. (2002). Shaping up for e-commerce: institutional enablers of the organizational assimilation of web technologies. MIS Quarterly, 26(2), 65–89.

    Article  Google Scholar 

  • Cho, V., Cheng, T. C. E., & Hung, H. (2009). Continued usage of technology versus situational factors: an empirical analysis. Journal of Engineering and Technology Management, 26(4), 264–284.

    Article  Google Scholar 

  • Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73.

    Article  Google Scholar 

  • Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: a new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–142.

    Article  Google Scholar 

  • Compeau, D. R., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Quarterly, 23(2), 145–158.

    Article  Google Scholar 

  • Ford, C. (1996). A theory of individual creative action in multiple social domains. Academy of Management Review, 21(4), 1112–1142.

    Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

    Article  Google Scholar 

  • Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research, 25(2), 186–192.

    Article  Google Scholar 

  • Grossman, R. (2009). The case for cloud computing. IT Professional, 11(2), 23–27.

    Article  Google Scholar 

  • Hossain, M. D., Moon, J., Kim, J. K., & Choe, Y. C. (2011). Impacts of organizational assimilation of e-government systems on business value creation: a structuration theory approach. Electronic Commerce Research and Applications, 10, 576–594.

    Article  Google Scholar 

  • Hult, G. T. M., & Ketchen, D. J. (2001). Does market orientation matter? A test of the relationship between positional advantage and performance. Strategic Management Journal, 22, 899–906.

    Article  Google Scholar 

  • Hurley, R. F., & Hult, T. M. (1998). Market orientation and organizational learning: an integration and empirical examination. Journal of Marketing, 62(3), 42–54.

    Article  Google Scholar 

  • Lacity, M., & Reynolds, P. (2014). Cloud services practices for small and mediumsized enterprises. MIS Quarterly Executive, 13(1), 31–44.

    Google Scholar 

  • Lee, B. (2012). The determinants of consumer attitude towards service innovation—the evidence of ETC system in Taiwan. Journal of Services Marketing, 26(1), 9–19.

    Article  Google Scholar 

  • Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management. MIS Quarterly, 31(1), 59–87.

    Google Scholar 

  • Lin, A., & Chen, N. C. (2012). Cloud computing as an innovation: perception, attitude and adoption. International Journal of Information Management, 32(6), 533–540.

    Article  Google Scholar 

  • Lin, Y. T., Wen, M. L., Jou, M., & Wu, D. W. (2014). A cloud-based learning environment for developing student reflection abilities. Computers in Human Behavior, 32(3), 244–252.

    Article  Google Scholar 

  • Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems, 111(7), 1006–1023.

    Article  Google Scholar 

  • Nasri, W., & Charfeddine, L. (2012). An exploration of facebook.com adoption in Tunisia using technology acceptance model and theory of reasoned action. Interdisciplinary Journal of Contemporary Research in Business, 4(5), 948–969.

    Google Scholar 

  • Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. Maidenhead: McGraw Hill.

    Google Scholar 

  • Park, E., & Kim, K. J. (2014). An ıntegrated adoption model of mobile cloud services: exploration of key determinants and extension of technology acceptance model. Telematics and Informatics, 31(3), 376–385.

    Article  Google Scholar 

  • Peng, C. H. (2008). The relationships between the antecedents of innovativeness and business performance. In: Conference Proceedings International Symposium of Electronic Commerce and Security. IEEE Computer Soc., Guangzhou, China, pp. 805–809.

  • Pesamaa, O., Shoham, A., Wincent, J., & Ruvio, A. (2013). How a learning orientation affects drivers of innovativeness and performance in service delivery. Journal of Engineering and Technology Management, 30, 169–187.

    Article  Google Scholar 

  • Rai, A., Tang, X., Brown, P., & Keil, M. (2006). Assimilation patterns in the use of electronic procurement innovations: a cluster analysis. Information and Management, 43(3), 336–349.

    Article  Google Scholar 

  • Rai, A., Brown, P., & Tang, X. (2009). Organizational assimilation of electronic procurement innovations. Journal of Management Information Systems, 26(1), 257–296.

    Article  Google Scholar 

  • Ratten, V. (2013). The development of social e-enterprises, mobile communication and social networks: a social cognitive perspective of technological innovation. Journal of Electronic Commerce in Organizations, 11(3), 68--77.

  • Ratten, V. (2014). Behavioral intentions to adopt technological innovations: the role of trust, innovation and performance. International Journal of Enterprise Information Systems, 10(3), 1--12.

  • Ratten, V. (2015). Athletes as entrepreneurs: the role of social capital and leadership ability. International Journal of Entrepreneurship and Small Business, 25(4), 442--455.

  • Regalado, A. (2011). Who coined the term “cloud computing”? The Business Technology Forum, http://www.thebusinesstechnologyforum.com/2011/10/who-coined-the-term-cloud-computing/. Accessed 04 February 2015.

  • Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: The Free Press.

    Google Scholar 

  • Shih, Y. Y., & Fang, K. (2004). The use of decomposed theory of planned behaviour to study Internet banking in Taiwan. Internet Research, 14(3), 213–223.

    Article  Google Scholar 

  • Sinkula, J. M., Baker, W. E., & Noordewier, T. (1997). A framework for market-based organizational learning: linking values, knowledge, and behavior. Journal of the Academy of Marketing Science, 25(4), 305–318.

    Article  Google Scholar 

  • Stantchev, V., Colomo-Palacios, R., Soto-Acosta, P., & Misra, S. (2014). Learning management systems and cloud file hosting services: a study on students’ acceptance. Computers in Human Behavior, 31(1), 612–619.

    Article  Google Scholar 

  • Sultan, N. (2014). Making use of cloud computing for healthcare provision: opportunities and challenges. International Journal of Information Management, 34, 177–184.

    Article  Google Scholar 

  • Tan, M., & Teo, T. S. H. (2000). Factors influencing the adoption of internet banking. Journal of the Association for Information Systems, 1(5), 1–42.

    Google Scholar 

  • Tierney, P., & Farmer, S. M. (2002). Creative self-efficacy: its potential antecedents and relationship to creative performance. Academy of Management Journal, 45(6), 1137–1148.

    Article  Google Scholar 

  • Tippins, M. J., & Sohi, N. S. R. S. (2003). IT competency and firm performance: is organizational learning a missing link? Strategic Management Journal, 24(8), 745–761.

    Article  Google Scholar 

  • Wang, C. L. (2008). Entrepreneurial orientation, learning orientation, and firm performance. Entrepreneurship: Theory and Practice, 32(4), 635–657.

    Google Scholar 

  • Wang, R., & Lin, C. (2012). Understanding innovation performance and its antecedents: a socio-cognitive model. Journal of Engineering and Technology Management, 29, 210–225.

    Article  Google Scholar 

  • Wilkie, W. L. (1994). Consumer behavior (3rd ed., pp. 280–282). New York: John Wiley & Sons.

    Google Scholar 

  • Zahra, S. A., Ireland, D. R., & Hitt, M. A. (2000). International expansion by new venture firms: international diversity, mode of market entry, technological learning, and performance. Academy of Management Journal, 43(5), 925–950.

    Article  Google Scholar 

  • Zhou, K. Z., Gao, G. Y., Yang, Z., & Zhou, N. (2005). Developing strategic orientation in china: antecedents and consequences of market and innovation orientations. Journal of Business Research, 58(8), 1049–1058.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vanessa Ratten.

Appendix

Appendix

Table 1 Measurement items

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ratten, V. Service Innovations in Cloud Computing: A Study of Top Management Leadership, Absorptive Capacity, Government Support, and Learning Orientation. J Knowl Econ 7, 935–946 (2016). https://doi.org/10.1007/s13132-015-0319-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13132-015-0319-7

Keywords

Navigation