An ecosystem-based job-creation engine fuelled by technology entrepreneurs

Job creation is at the centre of the rationale provided by governments and publicly funded organizations for investing in services purported to support entrepreneurs to launch and grow technology startups. However, little is known about how to design and build the engines that convert these publicly funded services into jobs in a region. In this article, we argue that the architecture of a job-creation engine fuelled by technology entrepreneurs is important and that it should be made visible to the stakeholders of a regional venture system. The manner in which the components of a job-creation engine are organized and integrated determines the effectiveness and efficiency of the conversion of public funds into jobs. Making visible the architecture of a job-creation engine enables individuals and organizations to: i) better understand the link between the investment made to service technology entrepreneurs and systematic job creation; ii) utilize the regional venture system more effectively; and iii) set the performance benchmark for capability improvement and rapid adjustment to environmental changes. The experience gained from operating Lead To Win since 2009 is used to describe the architecture of a job-creation engine fuelled by technology entrepreneurs that operate in Canada’s Capital Region. Lead To Win is an ecosystem designed to help a technology venture generate sufficient revenue to create six or more knowledge jobs in the region within three years of inception

Improving Phenotypic Prediction by Combining Genetic and Epigenetic Associations

We tested whether DNA-methylation profiles account for inter-individual variation in body mass index (BMI) and height and whether they predict these phenotypes over and above genetic factors. Genetic predictors were derived from published summary results from the largest genome-wide association studies on BMI (n ∼ 350,000) and height (n ∼ 250,000) to date. We derived methylation predictors by estimating probe-trait effects in discovery samples and tested them in external samples. Methylation profiles associated with BMI in older individuals from the Lothian Birth Cohorts (LBCs, n = 1,366) explained 4.9% of the variation in BMI in Dutch adults from the LifeLines DEEP study (n = 750) but did not account for any BMI variation in adolescents from the Brisbane Systems Genetic Study (BSGS, n = 403). Methylation profiles based on the Dutch sample explained 4.9% and 3.6% of the variation in BMI in the LBCs and BSGS, respectively. Methylation profiles predicted BMI independently of genetic profiles in an additive manner: 7%, 8%, and 14% of variance of BMI in the LBCs were explained by the methylation predictor, the genetic predictor, and a model containing both, respectively. The corresponding percentages for LifeLines DEEP were 5%, 9%, and 13%, respectively, suggesting that the methylation profiles represent environmental effects. The differential effects of the BMI methylation profiles by age support previous observations of age modulation of genetic contributions. In contrast, methylation profiles accounted for almost no variation in height, consistent with a mainly genetic contribution to inter-individual variation. The BMI results suggest that combining genetic and epigenetic information might have greater utility for complex-trait prediction

Process Ambidexterity for IT Entrepreneurship

All firms use information technology (IT). Larger firms have information technology organizations whose business function is to supply and manage IT infrastructure and applications to support business needs for IT. While some firms have chosen to outsource the IT function, the majority rely on an internal IT organization that is focused on running the IT infrastructure and optimizing IT operations and applications by exploiting technology improvements over time. Most IT organizations have little capacity to carry out transformational initiatives because they are focused on incremental improvements needed to run the business. As the global economy contracts, growing cost pressure on firms escalates the need for the IT function to behave in a more entrepreneurial manner that accelerates the availability of new technological solutions to enhance productivity and lower cost of doing business. This article provides a process-based perspective for understanding and addressing an IT function’s ability to implement entrepreneurial practices that better align the IT function to business functions. This is done by developing the capability of process ambidexterity. Improving an IT organization’s entrepreneurial ability results in improved productivity, shorter time to market, and lower operational costs – as validated by recent practice with major firms in the USA. Developing process ambidexterity in the IT function benefits those who govern IT, the executives who lead IT, as well as their peers in the business functions that depend on IT

Enabling Sustainable Improvement in IT Entrepreneurship

Firms must embrace processes that enable the information technology (IT) function to become a strategic partner to the business functions it serves. Process ambidexterity is a way for processes to be augmented to improve alignment and adaptability to new markets and technologies. By applying the principles of process ambidexterity, the key elements required for sustainable change within the capabilities that comprise the IT function of the firm are identified. Furthermore, the scope and depth of the dysfunction that is widespread across large firms that depend upon IT are outlined to provide a contextual basis for presenting a solution framework to address sustainable change. This framework for sustainable change is of primary benefit to IT executives seeking to systematically transform the IT function and enable IT entrepreneurship

Healthy life-year costs of treatment speed from arrival to endovascular thrombectomy in patients with ischemic stroke

Importance The benefits of endovascular thrombectomy (EVT) are time dependent. Prior studies may have underestimated the time-benefit association because time of onset is imprecisely known. Objective To assess the lifetime outcomes associated with speed of endovascular thrombectomy in patients with acute ischemic stroke due to large-vessel occlusion (LVO). Data Sources PubMed was searched for randomized clinical trials of stent retriever thrombectomy devices vs medical therapy in patients with anterior circulation LVO within 12 hours of last known well time, and for which a peer-reviewed, complete primary results article was published by August 1, 2020. Study Selection All randomized clinical trials of stent retriever thrombectomy devices vs medical therapy in patients with anterior circulation LVO within 12 hours of last known well time were included. Data Extraction/Synthesis Patient-level data regarding presenting clinical and imaging features and functional outcomes were pooled from the 7 retrieved randomized clinical trials of stent retriever thrombectomy devices (entirely or predominantly) vs medical therapy. All 7 identified trials published in a peer-reviewed journal (by August 1, 2020) contributed data. Detailed time metrics were collected including last known well–to-door (LKWTD) time; last known well/onset-to-puncture (LKWTP) time; last known well–to-reperfusion (LKWR) time; door-to-puncture (DTP) time; and door-to-reperfusion (DTR) time. Main Outcomes and Measures Change in healthy life-years measured as disability-adjusted life-years (DALYs). DALYs were calculated as the sum of years of life lost (YLL) owing to premature mortality and years of healthy life lost because of disability (YLD). Disability weights were assigned using the utility-weighted modified Rankin Scale. Age-specific life expectancies without stroke were calculated from 2017 US National Vital Statistics. Results Among the 781 EVT-treated patients, 406 (52.0%) were early-treated (LKWTP ≤4 hours) and 375 (48.0%) were late-treated (LKWTP >4-12 hours). In early-treated patients, LKWTD was 188 minutes (interquartile range, 151.3-214.8 minutes) and DTP 105 minutes (interquartile range, 76-135 minutes). Among the 298 of 380 (78.4%) patients with substantial reperfusion, median DTR time was 145.0 minutes (interquartile range, 111.5-185.5 minutes). Care process delays were associated with worse clinical outcomes in LKW-to-intervention intervals in early-treated patients and in door-to-intervention intervals in early-treated and late-treated patients, and not associated with LKWTD intervals, eg, in early-treated patients, for each 10-minute delay, healthy life-years lost were DTP 1.8 months vs LKWTD 0.0 months; P < .001. Considering granular time increments, the amount of healthy life-time lost associated with each 1 second of delay was DTP 2.2 hours and DTR 2.4 hours. Conclusions and Relevance In this study, care delays were associated with loss of healthy life-years in patients with acute ischemic stroke treated with EVT, particularly in the postarrival time period. The finding that every 1 second of delay was associated with loss of 2.2 hours of healthy life may encourage continuous quality improvement in door-to-treatment times