Enablers and Inhibitors of Business-IT Alignment

This paper provides insight into identifying areas that help or hinder business-IT alignment. Alignment focuses on the activities that management performs to achieve cohesive goals across the organization. The aim of this paper is to determine the most important enablers and inhibitors to alignment. The paper presents and analyzes the results of a multi-year study of strategic alignment. Data were obtained from business and information technology executives of over 800 firms representing 15 industries who attended classes addressing alignment at IBM\u27s Advanced Business Institute. The executives were asked to describe those activities that assist in achieving alignment and those which seem to hinder it. These enablers and inhibitors to alignment were then analyzed with respect to industry, to time, and executive position. The results indicate that certain activities can assist in the achievement of this state of alignment while others are clearly barriers. Achieving alignment is evolutionary and dynamic. It requires strong support from senior management, good working relationships, strong leadership, appropriate prioritization, trust, and effective communication, as well as a thorough understanding of the business environment. Achieving alignment demands focusing on maximizing the enablers and minimizing the inhibitors. The data show these factors to be constant over time and to be nearly identical for business executives and for IT executives. Furthermore, the data validate published anecdotal descriptions of enablers and inhibitors

Helix engineering: Combining the power of 3DM with AI to disrupt protein engineering

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Prevalence and associated risk factors of HIV infections in a representative transgender and non-binary population in Flanders and Brussels (Belgium) : protocol for a community-based, cross-sectional study using time-location sampling

IntroductionHIV prevalence and sexual risk have been estimated very high for transgender people. However, the limited sampling and data collection methods used in current research on transgender people potentially led to overrepresentation and generalisation of people at risk for HIV. Current HIV prevalence estimates in transgender populations are generalised from studies mainly focusing on transgender women engaging in sex work. Moreover, studies focusing on non-binary people, who identify with a broad range of identities beyond the traditional male and female gender identities, are scarce. ObjectivesTo estimate the HIV prevalence rate in the Flemish and Brussels (Belgium) transgender population, including transgender women, transgender men and non-binary people, and to identify the associated risk factors. MethodsIn this community-based cross-sectional study, self-identified transgender and non-binary (TGNB) people will be recruited through a two-stage time-location sampling approach. First, community settings in which TGNB people gather will be mapped to develop an accurate sampling frame. Secondly, a multistage sampling design is applied involving a stratification based on setting type (healthcare facilities vs outreach events), a selection of clusters by systematic sampling and a simple random selection of TGNB people within each cluster. Participants will complete an electronic self-reported survey to measure sociological, sexual and drug-using behaviors (risk factors) and oral fluid aliquots will be collected and tested for HIV antibodies. Logistic regression models will be used to evaluate risk factors independently associated with HIV infection. The presented study is registered at ClinicalTrials.gov (NCT04930614). DiscussionThis study will be the first to investigate the HIV prevalence rates and associated risk behaviors in an accurate representation of the TGNB population in a Western European country. The findings will globally serve as a knowledge base for identifying subgroups at risk for becoming infected with HIV within TGNB people and to set up targeted prevention programs. Discussion This study will be the first to investigate the HIV prevalence rates and associated risk behaviors in an accurate representation of the TGNB population in a Western European country. The findings will globally serve as a knowledge base for identifying subgroups at risk for becoming infected with HIV within TGNB people and to set up targeted prevention programs