IT Reliability and Innovation in SMEs: Empirical Research

Open access


Purpose: Analysis of theoretical views and empirical research concerning the relation between IT reliability and the innovation level of organizations.

Methodology: The pilot (sample: 100) and main (sample: 400) survey was conducted in 2017 among SMEs located in Poland.

Findings: The empirical analysis shows that there is a relation between IT reliability and innovation level. Moreover, information reliability appears as a factor that may influence the organization’s ability to create innovations. Furthermore, service reliability proves to correlate with innovation level as well, which provides additional conclusions that support the realization that service is an important feature, which may also influence employees’ ability to employ IT appropriately and efficiently, thereby supporting the generation of innovation.

Implications: Findings enable us to indicate the direction of further promising research that should concern the relationship between IT reliability and innovation in the context of stages of the innovation process and different types of innovation, which should be analyzed separately.

Value: The article presents a new factor that may influence the possibility of creating various types of innovations. Usually, papers focus on IT systems, while the relationship between IT reliability and innovation allows us to look deeper into this relationship.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • Chen Y. Wang Y. Nevo S. Benitez-Amado J. and Kou G. (2015). IT capabilities and product innovation performance: The roles of corporate entrepreneurship and competitive intensity. Information & Management52(6) 643–657.

  • Davila T. Epstein M.J. and Shelton R. (2006). Making innovation work: How to manage it measure it and profit from it? Upper Saddle River NJ: Pearson Education

  • Davis F.D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (doctoral dissertation Massachusetts Institute of Technology).

  • Delone W.H. and McLean E.R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information systems19(4) 9–30

  • Dobni C.B. (2010). Achieving synergy between strategy and innovation: The key to value creation. International Journal of Business Science and Applied Management5(1).

  • Finne A. (2005). Blueprint for General Quality Attribute Model. Proceedings of IRIS’28.

  • Frank A.G. Ribeiro J.L.D. and Echeveste M.E. ( 2015). Factors influencing knowledge transfer between NPD teams: A taxonomic analysis based on a sociotechnical approach. R&D Management45(1) 1–22.

  • Hosseini S. Kees A. Manderscheid J. Röglinger M. and Rosemann M. (2017). What does it take to implement open innovation? Towards an integrated capability framework. Business Process Management Journal23(1) 87–107.

  • Irani Z. (2002). Information systems evaluation: navigating through the problem domain. Information & Management40(1) 11–24

  • Kay J. and Willman P. (2018). Managing technological innovation: Architecture trust and organizational relationships in the firm. In: P. Swann (ed.) New Technology and the Firm. London: Routledge.

  • Lyytinen K. (1987). Different perspectives on information systems: problems and solutions. ACM Computing Surveys (CSUR)19(1) 5–46.

  • Manual Oslo (2005). The measurement of scientific and technological activities. Proposed Guidelines for Collecting an Interpreting Technological Innovation Data. Statistical Office of the European Communities

  • Molasy M. Walecka-Jankowska K. and Zgrzywa-Ziemak A. (2018). Kształtowanie kultury organiza cyjnej wspierającej innowacyjność przedsiębiorstw. Zeszyty Naukowe Politechniki Poznańskiej. Organizacja i Zarządzanie77 205–221.

  • Morawski M. (2009). Zarządzanie profesjonalistami. Warszawa: PWE.

  • Niu N. Da Xu L. and Bi Z. (2013). Enterprise information systems architecture – Analysis and evaluation. IEEE Transactions on Industrial Informatics9(4) 2147–2154 http:///

  • Palmius J. (2007). Criteria for measuring and comparing information systems. Proceedings of the 30th Information Systems Research Seminar in Scandinavia IRIS 2007.

  • Rek K. (2013). Co się liczy dla firm? Harvard Business Review Polska122(04).

  • Shujahat M. Ali B. Nawaz F. Durst S. and Kianto A. (2018). Translating the impact of knowledge management into knowledge-based innovation: The neglected and mediating role of knowledge-worker satisfaction. Human Factors and Ergonomics in Manufacturing & Service Industries28(4) 200–212.

  • Shu-Hsien L. (2003). Knowledge Management technologies and applications – literature review from 1995–2002. Expert Systems with Applications25 155–164

  • Soto-Acosta P. Popa S. and Martinez-Conesa I. (2018). Information technology knowledge management and environmental dynamism as drivers of innovation ambidexterity: a study in SMEs. Journal of Knowledge Management22(4) 824–849.

  • Srikantaih K. and Koenig M. (2001). Knowledge management for the information professional. Medford NJ: Information Today Inc.

  • Sumbal M.S. Tsui E. and See-to E.W. ( 2017). Interrelationship between big data and knowledge management: An exploratory study in the oil and gas sector. Journal of Knowledge Management 21(1) 180–196.

  • Swann P. (ed.) (2018). New technologies and the firm: Innovation and competition (Vol. 48). Routledge.

  • Trantopoulos K. von Krogh G. Wallin M.W. and Woerter M. (2017). External knowledge and information technology: Implications for process innovation performance. MIS Quarterly 41(1) 287–300.

  • Tusubira F. and Mulira N. (2004 September). Integration of ICT in organizations: Challenges and best practice recommendations based on the experience of Makerere University and other organizations. International ICT Conference Held at Hotel Africana Kampala Uganda. 5th to 8th September.

  • Tworek K. (2016). Model niezawodności systemów informacyjnych w organizacji. Zeszyty Naukowe. Organizacja i Zarządzanie88 335–342.

  • Tworek K. Walecka-Jankowska K. and Martan J. (2016). Information Technology as an Indirect Factor Supporting Knowledge Management in Organization – Mediating Role of Organizational Structure. Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015–Part III 115-125 Springer Cham.

  • Tworek K. (2019). Aligning IT with business. Springer Cham.

  • Walecka-Jankowska K. (2016). Relationship between Knowledge Management and Innovation. Social Sciences90(4) 55–66

  • Walecka-Jankowska K. and Zimmer J. (2015). Corporate Culture in Support of the Strategy: the Key to Organizational Innovation. Przegląd Organizacji10 43–48.

  • Walecka-Jankowska K. and Zimmer J. (2018). Technology organizational structure and innovation – in organizations operating in Poland. In: P. Jedlička P. Marešová and I. Soukal (eds.) Double-blind peer-reviewed proceedings part II. of the international scientific conference Hradec Economic Days 2018 January 30–31. Hradec Králové: University of Hradec Králové.

  • Zahedi F. (1987). Reliability of information systems based on the critical success factors-formulation. MIS Quarterly 187–203.

  • Zhu B. Habisch A. and Thøgersen J. (2018). The Importance Of Cultural Values And Trust For Innovation – A European Study. International Journal of Innovation Management22(02).

  • Zięba M. (2017). Knowledge Safety – Insights from the SME Sector. Journal of Management and Business Administration25(3) 78–96

  • Żmuda M. (2017). Towards a Taxonomy of International Competitiveness. Journal of Management and Business Administration25(3) 97–116

Journal information
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 98 98 7
PDF Downloads 65 65 9