Investigating enterprise application integration (EAI) adoption factors in higher education: an empirical study

Abstract

The Higher Education (HE) sector of a country is a key area indicating the progress of cultural, political and social growth and development. Public and social demands as well as technological developments add new challenges for this sector. Consequently, higher education institutions have changed and a more flexible IT infrastructure is required to enable them to adapt efficiently to competitive business challenges. Enterprise application integration (EAI) is a technology that effectively integrates intra- and inter-organizational systems. Firstly a systematic review of the EAI literature was conducted. From this review, it was apparent that there are no theoretical models for EAI adoption and evaluation for higher education. Hence, this research contributes a conceptual model that includes influential factors derived from the literature and combines them with the proposed classification of influential factors for HE to produce an EAI conceptual model for the HE domain. To validate this proposed model empirical research was conducted. Then, the model was tested using a qualitative case study approach by means of three case studies that were conducted at different universities. Exploratory, explanatory and interpretive data analysis phases were implemented to find what is the current EAI process of HE and how these institutions currently work. In addition, these phases were employed to identify the EAI adoption factors in HE. As a result of this analysis the conceptual model was modified because of complementary factors that emerged. Therefore, the main contribution of this research is a comprehensive and novel model for EAI adoption in higher education area. The adoption EAI factors were identified by extracting a number of parameters from the empirical data. Several important factors that influence and assist the adoption of EAI in HE were identified. Hence, an additional contribution is the classification of factors in EAI adoption into technical and social factors which provides a better understanding of these factors. A further contribution is the derivation of a new classification of the EAI external and internal pressure factors. The development of a consistent model for the adoption and evaluation of EAI in HE is based on these factors.