So You Want To Buy A Brand?

A company’s brand portfolio serves as its link to customers and markets, protects it from competitors, and provides it with a degree of channel power. Historically, brand portfolios were built, brand by brand. But in today’s fast-paced and highly competitive marketplace, companies cannot afford to rely solely on brands built from scratch. Consumer preferences change, yesterday’s star brands are today’s dogs, new segments emerge, and established competitors and nimble start-ups are quick to spot and respond to new opportunities. A brand portfolio that does not continually evolve to meet the changing strategic needs of the market risks becoming obsolete. At the same time, building brands has never been more costly, nor more fraught with risk. In response to these challenges, firms are increasingly choosing to acquire brands from other companies. Acquisitions of brands allow firms to respond far more quickly to the needs of an emerging market segment or to a competitive move. Furthermore, buying an established brand is considerably less risky than undertaking the launch of an entirely new brand. But acquiring brands presents its own set of challenges. Not only must the purchased brand have the potential to fulfill the strategic objectives for which it is purchased, but it must also be integrated into the existing portfolio of brands and brand management structures of the acquiring company, and be properly deployed to capture market opportunities. Strategic match, portfolio fit, and effective deployment can mean the difference between success and failure of a brand acquisition. Yet managers tend to underestimate the effort and risk associated with brand acquisition. Brand acquisitions may have a lower rate of failure than new products, but they are not risk- free. We develop a framework to guide managers in assessing potential acquisitions against key success factors. To develop the framework, we have assembled and examined a comprehensive set of brand acquisitions in the food and health and beauty sectors that took place over the past 25 years. We studied key variables that helped us understand how and why brands change hands, as well as the financial consequences of acquisitions that were ultimately deemed to be either successes or failures. We supplement the statistical results with in-depth case studies of brand acquisitions that help illustrate the key lessons.marketing ;

Does marketing and sales integration always pay off? evidence from a social capital perspective

Building on social capital theory, the authors view the marketing and sales interface as a set of inter-group ties and investigate how firms (1) generate value from inter-group relationships and (2) develop the social capital embedded in these relationships. Their findings suggest that social capital enhances, but can also limit, a firm’s performance depending on the characteristics of its customers. Their results also demonstrate that managing the marketing and sales interface at different levels of customer concentration is critical to the success of a firm’s performance.Marketing organization; sales organization; interface; social capital theory.

The Buffering Effect of Brands for Companies Facing Legislative Homogenization: Evidence from the Introduction of Sarbanes-Oxley

Brands not only enhance the positive impact of marketing initiatives, but also buffer the firm from the full consequences of unexpected and negative market shifts. While this protective effect has been demonstrated for firm-specific events (e.g., product recalls, public relations crises), its impact has not been observed in response to market-wide environmental shifts. Our study demonstrates the buffering properties of strong brands in exactly such a context: the passing of new legislation. By examining responses to the introduction of the Sarbanes-Oxley Act of 2002, we show that (1) firms exhibit a rapid and homogeneous response as they comply and adjust strategy to a new environmental incentive/cost structure; (2) from a marketing perspective, this homogeneity in competitive responses leads to a systemic decrease in marketing efficiency; and (3) stronger brands existing prior to this environmental shift help buffer their companies from this loss in efficiency. We further show that this advantage only holds for the strongest of brands in the market

Domo Arigato Mr. Roboto:Emergence of Automated Social Presence in Organizational Frontlines and Customers’ Service Experiences

Technology is rapidly changing the nature of service, customers’ service frontline experiences, and customers’ relationships with service providers. Based on the prediction that in the marketplace of 2025, technology (e.g., service-providing humanoid robots) will be melded into numerous service experiences, this article spotlights technology’s ability to engage customers on a social level as a critical advancement of technology infusions. Specifically, it introduces the novel concept of automated social presence (ASP; i.e., the extent to which technology makes customers feel the presence of another social entity) to the services literature. The authors develop a typology that highlights different combinations of automated and human social presence in organizational frontlines and indicates literature gaps, thereby emphasizing avenues for future research. Moreover, the article presents a conceptual framework that focuses on (a) how the relationship between ASP and several key service and customer outcomes is mediated by social cognition and perceptions of psychological ownership as well as (b) three customer-related factors that moderate the relationship between ASP and social cognition and psychological ownership (i.e., a customer’s relationship orientation, tendency to anthropomorphize, and technology readiness). Finally, propositions are presented that can be a catalyst for future work to enhance the understanding of how technology infusion, particularly service robots, influences customers’ frontline experiences in the future

Epidemiological data from the COVID-19 outbreak, real-time case information

Abstract: Cases of a novel coronavirus were first reported in Wuhan, Hubei province, China, in December 2019 and have since spread across the world. Epidemiological studies have indicated human-to-human transmission in China and elsewhere. To aid the analysis and tracking of the COVID-19 epidemic we collected and curated individual-level data from national, provincial, and municipal health reports, as well as additional information from online reports. All data are geo-coded and, where available, include symptoms, key dates (date of onset, admission, and confirmation), and travel history. The generation of detailed, real-time, and robust data for emerging disease outbreaks is important and can help to generate robust evidence that will support and inform public health decision making

Epidemiological data from the COVID-19 outbreak, real-time case information

Abstract: Cases of a novel coronavirus were first reported in Wuhan, Hubei province, China, in December 2019 and have since spread across the world. Epidemiological studies have indicated human-to-human transmission in China and elsewhere. To aid the analysis and tracking of the COVID-19 epidemic we collected and curated individual-level data from national, provincial, and municipal health reports, as well as additional information from online reports. All data are geo-coded and, where available, include symptoms, key dates (date of onset, admission, and confirmation), and travel history. The generation of detailed, real-time, and robust data for emerging disease outbreaks is important and can help to generate robust evidence that will support and inform public health decision making

Epidemiological data from the COVID-19 outbreak, real-time case information

Abstract: Cases of a novel coronavirus were first reported in Wuhan, Hubei province, China, in December 2019 and have since spread across the world. Epidemiological studies have indicated human-to-human transmission in China and elsewhere. To aid the analysis and tracking of the COVID-19 epidemic we collected and curated individual-level data from national, provincial, and municipal health reports, as well as additional information from online reports. All data are geo-coded and, where available, include symptoms, key dates (date of onset, admission, and confirmation), and travel history. The generation of detailed, real-time, and robust data for emerging disease outbreaks is important and can help to generate robust evidence that will support and inform public health decision making

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Background: Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. Methods: The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk–outcome pairs. Pairs were included on the basis of data-driven determination of a risk–outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk–outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk–outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. Findings: Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7–9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4–9·2]), smoking (5·7% [4·7–6·8]), low birthweight and short gestation (5·6% [4·8–6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8–6·0]). For younger demographics (ie, those aged 0–4 years and 5–14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9–27·7]) and environmental and occupational risks (decrease of 22·0% [15·5–28·8]), coupled with a 49·4% (42·3–56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9–21·7] for high BMI and 7·9% [3·3–12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6–1·9) for high BMI and 1·3% (1·1–1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4–78·8) for child growth failure and 66·3% (60·2–72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). Interpretation: Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions

The relative importance of internal and external information in consumer choice environments

Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1990.Vita.Includes bibliographical references (leaves 176-180).by John Stuart Hulland.Ph.D

Review: The resource-based view and information systems research: Review, extension, and suggestions for future research

Information systems researchers have a long tradition of drawing on theories from disciplines such as economics, computer science, psychology, and general management and using them in their own research. Because of this, the information systems field has become a rich tapestry of theore-1 Jane Webster was the accepting senior editor for this paper. MISQ REVIEW tical and conceptual foundations. As new theories are brought into the field, particularly theories that have become dominant in other areas, there may be a benefit in pausing to assess their use and contribution in an IS context. The purpose of this paper is to explore and critically evaluate use of the resource-based view of the firm (RBV) by IS researchers. The paper provides a brief review of resourcebased theory and then suggests extensions to make the RBV more useful for empirical IS research. First, a typology of key IS resources is presented, and these are then described using six traditional resource attributes. Second, we emphasize the particular importance of looking at both resource complementarity and moderating factors when studying IS resource effects on firm performance. Finally, we discuss three considerations that IS researchers need to address when using the RBV empirically. Eight sets of propositions are advanced to help guide future research. Keywords: Resource-based view, organizational impacts of IS, information systems resources, competitive advantage, IS strategic planning, information resource managemen