An enormous amount of information has been produced about the IT outsourcing phenomenon over the last 20 years, but one has to look to the academic literature for consistent, objective, and reliable research approaches and analyses. Our review finds that, In practice, the academic literature on IT outsourcing has very much honored both rigor and relevance In the ways In which research has been conducted. Our central purpose In the review was to answer two research questions: What has the empirical academic literature found about information technology outsourcing (ITO) decisions and outcomes? What are the gaps In knowledge to consider In future ITO research? To answer these questions, we examined 164 empirical ITO articles published between 1992 and 2010 In 50 journals. Adapting a method used by Jeyaraj et al. (2006), we encapsulated this vast empirical literature on ITO In a way that was concise, meaningful, and helpful to researchers. We coded 36 dependent variables, 138 independent variables, and 741 relationships between Independent and dependent variables. By extracting the best evidence, we developed two models of outsourcing: one model addressed ITO decisions and one model addressed ITO outcomes. The model of ITO decisions includes Independent variables associated with motives to outsource, transaction attributes, client firm characteristics, and influence sources. The model of ITO outcomes includes Independent variables associated with client and supplier capabilities, relationship characteristics, contractual governance, decision characteristics, and transaction attributes. We also examined the interactions among broad categories of variables and the learning curve effects resulting from feedback loops. Overall, ITO researchers have a broad and deep understanding of ITO. However, the field continues to evolve as clients and suppliers on every inhabited continent participate actively in the global sourcing community. There is still much research yet to be done. We reviewed recent studies that have identified gaps in current knowledge and proposed future paths of research pertaining to strategic motivations, environmental influences, dynamic interactions, configurational and portfolio approaches, global destinations, emerging models, reference theory extension, and grounded theory development.
The 2010 Journal of Information Technology (JIT) article, ‘A Review of the IT Outsourcing Empirical Literature and Future Research Directions,’ analyzed 741 findings on the determinants of Information Technology Outsourcing (ITO) decisions and outcomes from 164 empirical articles published between 1992 and 2010. Using the same coding method, the 2011 JIT article, ‘Business Process Outsourcing Studies: A Critical Review and Research Directions,’ analyzed 615 findings on the determinants of Business Process Outsourcing (BPO) decisions and outcomes from 67 empirical articles published between 1996 and 2011. Taken together, these two reviews found that the preponderance of evidence from both ITO and BPO research streams produced largely consistent results pertaining to the categories of independent variables that affected outsourcing decisions and outcomes. To investigate the most current research findings on business services, which comprise ITO and BPO, and to compare the results with the prior JIT reviews, we replicated the method used in the prior JIT reviews. In this update, we examined 174 newly published articles across 78 academic journals published between 2010 and 2014. We found that researchers have significantly expanded the variables of interest in the last 4 years. In all, researchers investigated 69 new variables. Compared with earlier research, this review of recent articles found a deeper exploration of the direct effects of transaction attributes, sourcing motivations, client and provider capabilities, and governance on sourcing decisions and outcomes. Researchers have also studied a broader variety of sourcing decisions, including shared services, captive centers, rural sourcing and backsourcing. This update also found a more nuanced understanding of relational governance and its interaction with contractual governance. We assessed the research progress that has been made on ten previously identified gaps in knowledge. We proposed a future research agenda that includes continued, incremental progress on ‘normal science’ research questions, as well as more ambitious research goals. We challenged researchers to investigate how sourcing clients, providers, and advisors can protect jobs, protect the environment, and ensure security in an increasingly automated world.
Objective Many countries have implemented quarantine rules during the global outbreak of coronavirus disease 2019 (COVID-19). Understanding how hospitals can continue providing services in an effective manner under these circumstances is thus important. In this study, we investigate how information technology (IT) helped hospitals in mainland China better respond to the outbreak of the pandemic. Materials and Methods We conducted a content analysis of pages published on the websites of the top 50 hospitals in mainland China between January 22 and February 21, 2020. In total, we analyzed 368 pages that the hospitals published during the initial days of the COVID-19 pandemic. The purpose was to identify common themes related to the utilization of IT by these hospitals in response to the pandemic’s outbreak. Results We identified 5 focal themes across the webpages published by the hospitals during our study period, including (1) popular medical science education, (2) digitalized hospital processes, (3) knowledge management for medical professionals, (4) telemedicine, and (5) new IT initiatives for healthcare services. Our analysis revealed that Chinese hospitals spent greater effort in promoting popular medical science education in the initial stages of our study period and more on telemedicine in the latter stages. Discussion We propose a configurational approach for hospitals to design response strategies to pandemic outbreaks based on their available resources. Conclusions Our study provides rich insights for hospitals to better utilize their IT resources and some recommendations for policymaker to better support hospitals in the future.
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