Legacy Effects in Radical Innovation: A Study of European Internet Banking

How do firms cope with the challenges of disruptive change in their industry? Numerous studies have highlighted that success with any prior technology creates a negative legacy effect for the next radical technological shift. We question the overly pessimistic view of such legacy effects and ask how quickly firms embrace technological breakthroughs by radically innovating and who wins in the longer term? In this paper, we argue that legacy is a multi-faceted construct whose diverse aspects could simultaneously have different effects on innovation speed and market performance. We identify three main types of legacy related to technology, organizational, and country-level influences. Previous research tends to focus on technological or market effects in isolation, whereas we seek to study the effects of both firm and country legacy simultaneously on speed to radical innovation and market performance over time. Based on a conceptual framework we develop six hypotheses concerning the legacy effects on initial speed radical innovation and subsequent market performance. We chose the European retail banking industry and the focal innovation of transactional Internet banking as a suitable empirical context to employ quantitative hypothesis testing. Detailed and longitudinal (1996-2001) data were collected for a sample of 123 banks from six European countries: United Kingdom, Germany, France, Sweden, Finland, and Denmark. We specified a model and used threestage least squares (3SLS) as a method to estimate simultaneous regression equations due to endogeneity of a key variable. We show that the prevailing negative view of legacies is likely to be overstated

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

Background: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. Methods: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. Findings: In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]). Interpretation: Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions

GVK EMRI: Social entrepreneurship and innovation in emergency medical response

SMU Faculty/Staff can download the case and teaching note with your SMU login ID and Password via the following links: The Case (SMU-13-0013) Teaching Note (SMU-13-0013TN) For purchase of the case and supplementary materials via The Case Center, please access the following links: The Case (SMU-13-0013) Teaching Note (SMU-13-0013TN) </ul

Behemoths at the Gate: How Incumbents Take on Acquisitive Entrants (and Why Some Do Better Than Others)

Corporate acquisitions are a ubiquitous feature of today's business landscape and a widely used means by which large firms enter new markets. As large acquirers swoop in to acquire firms in new markets, they are almost inevitably met with a chorus of concerns about the potential effects of their actions on the markets they enter. What is the actual impact of acquisitive entry by large firms on the strategies and performance of incumbents? How do incumbents reconfigure the way they compete after a behemoth enters their market? The authors focus on an important facet of firms’ competitive positions—their product mix—and propose a framework that explains incumbent firms’ reaction to acquisitive entry by large firms, as well as the performance implications of these reactions. They test the hypotheses that result from this framework by examining the impact of acquisitive entry across a large number of firms and consumer markets over time: The data cover 839 acquisitions in 583 metropolitan statistical areas in the U.S. banking industry. The results indicate that incumbents are more likely to align their product mix strategy with that of the acquisitive entrant if (1) the incumbent is large, (2) the acquirer's past performance has been strong, and (3) the market served by the incumbent is small. Importantly, how incumbents react has significant performance implications: The authors find that large incumbents that deviate from acquirers’ product mix strategy perform better than other incumbents do. </jats:p

Legacy effects in radical innovation: A study of European Internet banking

How do firms cope with the challenges of disruptive change in their industry? Numerous studies have highlighted that success with any prior technology creates a negative legacy effect for the next radical technological shift. We question the overly pessimistic view of such legacy effects and ask how quickly firms embrace technological breakthroughs by radically innovating and who wins in the longer term? In this paper, we argue that legacy is a multi-faceted construct whose diverse aspects could simultaneously have different effects on innovation speed and market performance. We identify three main types of legacy related to technology, organizational, and country-level influences. Previous research tends to focus on technological or market effects in isolation, whereas we seek to study the effects of both firm and country legacy simultaneously on speed to radical innovation and market performance over time. Based on a conceptual framework we develop six hypotheses concerning the legacy effects on initial speed radical innovation and subsequent market performance. We chose the European retail banking industry and the focal innovation of transactional Internet banking as a suitable empirical context to employ quantitative hypothesis testing. Detailed and longitudinal (1996-2001) data were collected for a sample of 123 banks from six European countries: United Kingdom, Germany, France, Sweden, Finland, and Denmark. We specified a model and used threestage least squares (3SLS) as a method to estimate simultaneous regression equations due to endogeneity of a key variable. We show that the prevailing negative view of legacies is likely to be overstated.innovation, legacy, internet banking, europe

Practice Prize Reports

The Practice Prize Reports consist of one article with two parts as follows: “Sinha, Ashish, J. Jeffrey Inman, Yantao Wang, Joonwook Park. Attribute drivers: A factor analytic choice map approach for understanding choices among SKUs” and “Tellis, Gerard J., Rajesh K. Chandy, Deborah MacInnis, Pattana Thaivanich. “Modeling the microeffects of television advertising: Which ad works, when, where, for how long, and why?”product management, choice models, assortment, advertising response, wear-in, wear-out, carry-over effect, long-term effect, ad creative, ad cues