Predicting SMEs' adoption of enterprise systems

Abstract

PurposeThe purpose of this paper is to develop a model that can be used to predict which small to medium‐sized enterprises (SMEs) are more likely to become adopters of enterprise systems (ERP, CRM, SCM and e‐procurement).Design/methodology/approachDirect interviews were used to collect data from a random sample of SMEs located in the Northwest of England. Using logistic regression, 102 responses were analysed.FindingsThe results reveal that the factors influencing SMEs' adoption of enterprise systems are different from the factors influencing SMEs' adoption of other previously studied information systems (IS) innovations. SMEs were found to be more influenced by technological and organisational factors than environmental factors. Moreover, the results indicate that firms with a greater perceived relative advantage, a greater ability to experiment with these systems before adoption, greater top management support, greater organisational readiness and a larger size are predicted to become adopters of enterprise systems.Research limitations/implicationsAlthough this study focused on the factors that influence SMEs' adoption of a set of enterprise systems (i.e. ERP, CRM, SCM and e‐procurement), it fails to differentiate between factors that influence each of these systems.Practical implicationsThe model can be used to assist software vendors not only to develop marketing strategies that can target potential adopters, but also to develop strategies to increase the adoption of ES among SMEs.Originality/valueThe paper contributes to the continuing research in IS innovations adoption/diffusion in the small business context.

Adoption of BIM by architectural firms in India: technology–organization–environment perspective

“…The internal/external technologies connected to the firm describe the technological context; the descriptive attributes of the firm describe the organizational context and environmental characteristics include the industry, competitors, suppliers and government (Jain, Le, Lin, & Cheng, 2011). Our research examines the influence of complexity, compatibility, and trialability in technological context (Doolin & Al Haj Ali, 2008;Lin & Lin, 2008;Mirchandani & Motwani, 2001;Premkumar & Roberts, 1999;Ramdani, Kawalek, & Lorenzo, 2009;Roberts & Pick, 2004;Srinivasan, Lilien, & Rangaswamy, 2002;Zhu, Kraemer, & Xu, 2003); top management support, perceived financial cost and BIM expertise in organizational context (Al-Qirim, 2007;Balocco, Mogre, & Toletti, 2009;Doolin & Al Haj Ali, 2008;Grover, 1993;Huang, Janz, & Frolick, 2008;Kuan & Chau, 2001;Lin & Lin, 2008;Moore & Benbasat, 1991;Premkumar & Roberts, 1999;Zhu & Kraemer, 2005); and client requirements and trade partner readiness in environmental context (Al-Qirim, 2007;Doolin & Al Haj Ali, 2008;Lin & Lin, 2008;Premkumar & Roberts, 1999;Ramdani et al, 2009;Zhu et al, 2003) Adoption and Figure 2: TOE Framework (Tornatzky & Fleischer, 1990) In the current research, TOE framework has been used for investigating the factors affecting BIM adoption among architectural firms in India. As BIM processes require organization wide adoption (including adoption in the project delivery network) and as this research focuses on studying the BIM adoption among architecture firms (and not individuals) an organizational-level adoption theory is deemed suitable for the current research.…”

eHealth adoption factors in medical hospitals: A focus on the Netherlands

“…Measurement instrument There was no readily available measurement instrument that could be used for the purpose of this study, therefore, we developed one derived from theory and several existing surveys in the literature [23], [41]- [48]. Our measurement instrument was designed to be comprehensive in covering all constructs of the conceptual model as well as relatively easy to answer for Chief Information Officers (CIO) or top-level ICT managers of hospitals.…”

L’équipement des PME en systèmes ERP : une adoption guidée par les priorités stratégiques ?

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