An empirical analysis to assess the determinants of SaaS diffusion in firms

We propose a conceptual model for assessing the determinants of SaaS diffusion process (i.e. intention, adoption, and routinization). The conceptual model is based on three important theories of adoption at the firm level (i.e., technology-organization-environment TOE framework, diffusion of innovation DOI theory, and institutional INT theory). Data collected from 265 firms are used to test the conceptual model. Nine determinants are found to be statistically significant. By examining direct and total (direct and indirect) effects of the determinants, the study offers rich insight into the firm's decision to adopt and routinize SaaS. An evaluation of factors influencing the diffusion of SaaS.Research model based on TOE framework, INT theory, and DOI theory.Direct effects, as well as total (direct and indirect) effects are evaluated.The study provides insights to decision makers considering SaaS strategies.

[1]  Alain Yee-Loong Chong,et al.  Determinants of mobile supply chain management system diffusion: a structural equation analysis of manufacturing firms , 2013 .

[2]  Sten Jönsson.  Institutions and Organizations , 1997 .

[3]  Jun Sun,et al.  Understanding SaaS adoption from the perspective of organizational users: A tripod readiness model , 2015, Comput. Hum. Behav..

[4]  Wynne W. Chin.  Issues and Opinion on Structural Equation Modeling by , 2009 .

[5]  Lawrence W. Lan,et al.  Exploring decisive factors affecting an organization's SaaS adoption: A case study , 2011, Int. J. Inf. Manag..

[6]  Wei-Wen Wu,et al.  Mining significant factors affecting the adoption of SaaS using the rough set approach , 2011, J. Syst. Softw..

[7]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[8]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[9]  Ab Razak Che Hussin,et al.  The Organizational Critical Success Factors for Adopting Cloud Computing in SMEs , 2013 .

[10]  Alain Yee-Loong Chong,et al.  Structural equation modeling for multi-stage analysis on Radio Frequency Identification (RFID) diffusion in the health care industry , 2012, Expert Syst. Appl..

[11]  Amin Jula,et al.  Cloud computing service composition: A systematic literature review , 2014, Expert Syst. Appl..

[12]  D. DavisFred,et al.  User Acceptance of Computer Technology , 1989 .

[13]  Thomas Hess,et al.  Opportunities and risks of software-as-a-service: Findings from a survey of IT executives , 2011, Decis. Support Syst..

[14]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[15]  Subhas C. Misra,et al.  Identification of a company's suitability for the adoption of cloud computing and modelling its corresponding Return on Investment , 2011, Math. Comput. Model..

[16]  Marta E. Zorrilla,et al.  A service oriented architecture to provide data mining services for non-expert data miners , 2013, Decis. Support Syst..

[17]  Varun Grover,et al.  The Effect of Service Quality and Partnership on the Outsourcing of Information Systems Functions , 1996, J. Manag. Inf. Syst..

[18]  Andrew B. Whinston,et al.  A Transaction Cost Perspective of the "Software as a Service" Business Model , 2009, J. Manag. Inf. Syst..

[19]  Andrew B. Whinston,et al.  Multitask Agency, Modular Architecture, and Task Disaggregation in SaaS , 2010, J. Manag. Inf. Syst..

[20]  James J. Jiang,et al.  Rethinking the role of security in client satisfaction with Software-as-a-Service (SaaS) providers , 2015, Decis. Support Syst..

[21]  Seung-Hoon Chae,et al.  Drivers and inhibitors of SaaS adoption in Korea , 2013, International Journal of Information Management.

[22]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[23]  Andrew B. Whinston,et al.  Short-term and long-term competition between providers of shrink-wrap software and software as a service , 2009, Eur. J. Oper. Res..

[24]  Michael A. McDaniel,et al.  PUBLICATION BIAS: A CASE STUDY OF FOUR TEST VENDORS , 2006 .

[25]  Jung P. Shim,et al.  Factors influencing corporate web site adoption: a time-based assessment , 2001, Inf. Manag..

[26]  William Haseman,et al.  Time to decision: the drivers of innovation adoption decisions , 2014, Enterp. Inf. Syst..

[27]  Marko Sarstedt,et al.  An assessment of the use of partial least squares structural equation modeling in marketing research , 2012 .

[28]  Pierre-Majorique Léger,et al.  Differentiating weak ties and strong ties among external sources of influences for enterprise resource planning (ERP) adoption , 2012, Enterp. Inf. Syst..

[29]  Tiago Oliveira,et al.  Assessing Organizational Adoption of Information Systems Outsourcing , 2015, J. Organ. Comput. Electron. Commer..

[30]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[31]  Yogesh Kumar Dwivedi,et al.  Knowledge management and enterprise systems adoption by SMEs , 2009 .

[32]  Nabil Ahmed Sultan,et al.  International Journal of Information Management , 2010 .

[33]  Joey F. George,et al.  Why aren't organizations adopting virtual worlds? , 2013, Comput. Hum. Behav..

[34]  Vallabh Sambamurthy,et al.  Shaping UP for E-Commerce: Institutional Enablers of the Organizational Assimliation of Web Technologies , 2002, MIS Q..

[35]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[36]  Izak Benbasat,et al.  Electronic Data Interchange and Small Organizations: Adoption and Impact of Technology , 1995, MIS Q..

[37]  Tiago Oliveira,et al.  Literature Review of Information Technology Adoption Models at Firm Level , 2011 .

[38]  Robert G. Fichman,et al.  Going Beyond the Dominant Paradigm for Information Technology Innovation Research: Emerging Concepts and Methods , 2004, J. Assoc. Inf. Syst..

[39]  Qing Hu,et al.  The role of external and internal influences on information systems security - a neo-institutional perspective , 2007, J. Strateg. Inf. Syst..

[40]  Sangjae Lee,et al.  Factors affecting the implementation success of Internet-based information systems , 2007, Comput. Hum. Behav..

[41]  D. B. Montgomery,et al.  First‐mover advantages , 1988 .

[42]  J. March,et al.  A Behavioral Theory of the Firm , 1964 .

[43]  Kenneth L. Kraemer,et al.  Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies , 2006, Eur. J. Inf. Syst..

[44]  Peter Kawalek,et al.  Predicting SMEs' adoption of enterprise systems , 2009, J. Enterp. Inf. Manag..

[45]  Gilbert A. Churchill.  A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[46]  Cor-Paul Bezemer,et al.  Performance optimization of deployed software-as-a-service applications , 2014, J. Syst. Softw..

[47]  Adrian B. Ryans.  Estimating Consumer Preferences for a New Durable Brand in an Established Product Class , 1974 .

[48]  Kenneth L. Kraemer,et al.  The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business , 2006, Manag. Sci..

[49]  Thomas Hess,et al.  Drivers of SaaS-Adoption – An Empirical Study of Different Application Types , 2009, Bus. Inf. Syst. Eng..

[50]  Vincent Cho,et al.  An integrative framework of comparing SaaS adoption for core and non-core business operations: An empirical study on Hong Kong industries , 2015, Inf. Syst. Frontiers.

[51]  Kenneth L. Kraemer,et al.  Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors , 2003, Eur. J. Inf. Syst..

[52]  W. Scott,et al.  Institutions and Organizations. , 1995 .

[53]  Detmar W. Straub,et al.  Validating Instruments in MIS Research , 1989, MIS Q..

[54]  Yu Min Wang,et al.  Understanding the determinants of RFID adoption in the manufacturing industry , 2010 .

[55]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[56]  V. Kavitha,et al.  A survey on security issues in service delivery models of cloud computing , 2011, J. Netw. Comput. Appl..

[57]  Tiago Oliveira,et al.  Firms patterns of e-business adoption: evidence for the European Union-27. , 2009 .

[58]  Xin Luo,et al.  Integrative framework for assessing firms' potential to undertake Green IT initiatives via virtualization - A theoretical perspective , 2011, J. Strateg. Inf. Syst..

[59]  E. Burton Swanson,et al.  Innovating Mindfully with Information Technology , 2004, MIS Q..

[60]  W. Powell,et al.  The New Institutionalism in Organizational Analysis , 1993 .

[61]  Sung Yul Ryoo,et al.  An empirical investigation of end-users' switching toward cloud computing: A two factor theory perspective , 2013, Comput. Hum. Behav..

[62]  Kalle Lyytinen,et al.  Inter-organizational information systems adoption – a configuration analysis approach , 2011, Eur. J. Inf. Syst..

[63]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[64]  T. C. Edwin Cheng,et al.  Mobile commerce integrated with RFID technology in a container depot , 2007, Decis. Support Syst..

[65]  S. S. Alam.  Adoption of internet in Malaysian SMEs , 2009 .

[66]  Milind K. Sharma,et al.  Receptivity of India's small and medium-sized enterprises to information system adoption , 2009, Enterp. Inf. Syst..

[67]  Naresh K. Malhotra,et al.  Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research , 2006, Manag. Sci..

[68]  Kenneth L. Kraemer,et al.  Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry , 2005, Inf. Syst. Res..

[69]  Gregory R. Madey,et al.  Adoption and implementation of electronic data interchange , 1998 .

[70]  Izak Benbasat,et al.  Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective , 2003, MIS Q..

[71]  Vidyanand Choudhary,et al.  Comparison of Software Quality Under Perpetual Licensing and Software as a Service , 2007, J. Manag. Inf. Syst..

[72]  Jukka-Pekka Heikkilä,et al.  An institutional theory perspective on e-HRM's strategic potential in MNC subsidiaries , 2013, J. Strateg. Inf. Syst..

[73]  V. Mahajan,et al.  An analysis of e-business adoption and its impact on business performance , 2003 .

[74]  Gyoo Gun Lim,et al.  Using balanced scorecards for the evaluation of "Software-as-a-service" , 2013, Inf. Manag..

[75]  Tiago Oliveira,et al.  Understanding e-business adoption across industries in European countries , 2010, Ind. Manag. Data Syst..

[76]  Michael A. Cusumano,et al.  Services and the Business Models of Product Firms: An Empirical Analysis of the Software Industry , 2013, Manag. Sci..

[77]  Martin Molina,et al.  A tenant-based resource allocation model for scaling Software-as-a-Service applications over cloud computing infrastructures , 2013, Future Gener. Comput. Syst..

[78]  I. Ajzen.  The theory of planned behavior , 1991 .

[79]  Tom Butler,et al.  Compliance with institutional imperatives on environmental sustainability: Building theory on the role of Green IS , 2011, J. Strateg. Inf. Syst..

[80]  Hsin-Chieh Wu,et al.  Determinants of RFID adoption intention: Evidence from Taiwanese retail chains , 2010, Inf. Manag..

[81]  Sue Newell,et al.  Paradoxical effects of institutionalisation on the strategic awareness of technology in organisations , 2010, J. Strateg. Inf. Syst..

[82]  Mingdi Xin,et al.  Software-as-a-Service Model: Elaborating Client-Side Adoption Factors , 2008, ICIS.

[83]  Kenneth L. Kraemer,et al.  Determinants of E-Business Use in U.S. Firms , 2006, Int. J. Electron. Commer..

[84]  Alain Yee-Loong Chong,et al.  Factors affecting the Adoption Level of C-Commerce: An Empirical Study , 2009, J. Comput. Inf. Syst..

[85]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[86]  Viswanath Venkatesh,et al.  Adoption and Impacts of Interorganizational Business Process Standards: Role of Partnering Synergy , 2012, Inf. Syst. Res..

[87]  France Bélanger,et al.  An organizational perspective on m-business: usage factors and value determination , 2014, Eur. J. Inf. Syst..

[88]  R. Burt.  Toward a Structural Theory of Action: Network Models of Social Structure , 1985 .

[89]  Casey G. Cegielski,et al.  An integrated environmental perspective on software as a service adoption in manufacturing and retail firms , 2015, J. Inf. Technol..

[90]  Princely Ifinedo,et al.  An Empirical Analysis of Factors Influencing Internet/E-Business Technologies Adoption by SMEs in Canada , 2011, Int. J. Inf. Technol. Decis. Mak..

[91]  M. Fleischer,et al.  processes of technological innovation , 1990 .

[92]  J. Teich,et al.  Effective benchmarking of innovation adoptions: A theoretical framework for e‐procurement technologies , 2010 .

[93]  António Trigo,et al.  Using integrated information systems in supply chain management , 2015, Enterp. Inf. Syst..

[94]  Woan-Yuh Jang,et al.  Determinants of the Adoption of Enterprise Resource Planning within the Technology-Organization-Environment Framework: Taiwan's Communications Industry , 2008, J. Comput. Inf. Syst..

[95]  W. Powell,et al.  The iron cage revisited institutional isomorphism and collective rationality in organizational fields , 1983 .

[96]  R. Duncan.  Organizations and Their Environments. , 1974 .

[97]  Anthony DiRomualdo,et al.  Strategic Intent for IT Outsourcing , 1998 .

[98]  Tiago Oliveira,et al.  Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors , 2014, Inf. Manag..

[99]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[100]  Alain Pinsonneault,et al.  Survey Research Methodology in Management Information Systems: An Assessment , 1993, J. Manag. Inf. Syst..

[101]  Tiago Oliveira,et al.  Assessing the role of IT-enabled process virtualization on green IT adoption , 2015, Information Systems Frontiers.

[102]  Gary Garrison,et al.  Understanding users' behaviors regarding supply chain technology: Determinants impacting the adoption and implementation of RFID technology in South Korea , 2010, Int. J. Inf. Manag..

[103]  Chul-Eui Hong,et al.  Computers and Mathematics with Applications an Innovative Method for Data and Software Integration in Saas , 2022 .

[104]  M. Lindell,et al.  Accounting for common method variance in cross-sectional research designs. , 2001, The Journal of applied psychology.

[105]  Wei-Wen Wu,et al.  Developing an explorative model for SaaS adoption , 2011, Expert Syst. Appl..

[106]  Chinyao Low,et al.  Understanding the determinants of cloud computing adoption , 2011, Ind. Manag. Data Syst..

[107]  E. Rogers.  Diffusion of Innovations , 1962 .

[108]  Ali Amiri.  Application placement and backup service in computer clustering in Software as a Service (SaaS) networks , 2016, Comput. Oper. Res..