Evaluating LIMS Implementation Success in an R&D Organization from an End-User Perspective: A Structural Equation Modeling Approach Open Access
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The lack of a framework for measuring IS success in the context of Laboratory Information Management Systems (LIMS) presents challenges for practitioners attempting to identify factors of user satisfaction that are of greatest impact to end users. Without a clear understanding of these factors, organizations can spend time and resources focusing on aspects of the information system that contribute very little to their overall success. This can lead to dissatisfaction among end users and ultimately result in failure associated with discontinued use of the system.The objectives of this study were three-fold: (a) to understand users’ perceptions of LIMS, (b) to identify factors that influence end-user satisfaction with LIMS, and (c) to determine the relationships that exist between the factors identified in (b) above.The research instrument was designed to measure information quality, system quality, service quality, and user satisfaction. Data for validation of the survey instrument and hypothesis testing were collected through a survey of LIMS end users within a global Research and Development (R&D;) organization. The specific LIMS evaluated was Thermo Scientific Nautilus LIMS, and the end users were employees of the organization. The survey was adapted from a combination of instruments developed by previous researchers, such as Doll and Torkzadeh (1998), Seddon and Kiew (1996), DeLone and McLean (2003), and Aggelidis and Chatzoglou (2012). Structural equation modeling was used to test five hypothesized relationships in the research model. Confirmatory factor analysis performed on all the constructs in the model confirmed adequate reliability and validity of the model. Study results analyzed from 353 valid responses reported evidence consistent with user satisfaction–based studies for the effect of system quality on end-user satisfaction, as well as for the effects of service quality on system quality and system quality on information quality. Results indicated that system quality is a major determinant of end-user satisfaction with LIMS.The main contribution of this research is a framework for evaluating end-user satisfaction with LIMS. The insights gained from the results are used to recommend action for practitioners and inform decision making. Additionally, it forms the basis for future research on IS success in the context of LIMS, given the limited number of studies published on LIMS end-user-satisfaction measurement.