scholarly journals How Do Alliance Portfolio Factors Affect a Precision Medicine Firm’s Innovation Performance?

2021 ◽  
Vol 7 (3) ◽  
pp. 203
Author(s):  
Yucheong Chon ◽  
Kwangsoo Shin
Keyword(s):  
Precision Medicine ◽  
Individual Variability ◽  
Innovation Performance ◽  
Alliance Portfolio ◽  
Alliance Management ◽  
Treatment And Prevention ◽  
Management Capability ◽  
Research Organizations ◽  
Medical Paradigm ◽  
Positive Effect

Precision medicine is an approach to disease treatment and prevention that seeks to maximize effectiveness by taking into account individual variability in genes, environment, and lifestyle. The medical paradigm has been changed with the emergence of precision medicine and many companies with business related to precision medicine should cooperate with other companies. The purpose of this study is to analyze the alliance portfolio factors that affect firms’ innovation performance. This study examined whether the diversity factors of the alliance portfolio and alliance management capability influenced its innovation performance. Additionally, we investigated the moderate effects of participation of research organizations in the alliance portfolio. As a result, there was an inverted U-shaped relationship between the industry diversity of the portfolio and innovation performance; therefore, the participation of research organizations in the alliance portfolio showed a positive effect. Additionally, the value governance diversity changed to have a positive effect by interacting with research organizations. This study provides information on the alliance portfolio factors that affect the innovation performance of precision medicine companies.

scholarly journals A contingency view of alliance management capabilities for innovation in the biotech industry

2020 ◽  
Vol 23 (1) ◽  
pp. 234094442090105
Author(s):  
Carmen Cabello-Medina ◽  
Antonio Carmona-Lavado ◽  
Gloria Cuevas-Rodriguez
Keyword(s):  
Jel Classification ◽  
Portfolio Performance ◽  
Interorganizational Learning ◽  
Alliance Portfolio ◽  
Alliance Management ◽  
Geographic Diversity ◽  
Learning Capabilities ◽  
Contingency View ◽  
Management Capabilities ◽  
Positive Effect

In this research, we analyze the influence of two alliance management capabilities, coordination and interorganizational learning, on the performance of alliances for innovation. By adopting a contingency view, we explore whether the effectiveness of these capabilities depends on certain features of the alliance portfolio configuration (partner and geographic diversity). Based on a sample of Spanish companies belonging to the five leading biotech clusters, our results demonstrate that alliance management capabilities are not equally effective across different contexts. Alliance coordination capabilities become more effective when partner diversity is low and geographic diversity is high. By contrast, interorganizational learning capabilities have a positive effect on alliance portfolio performance when partner diversity is high and geographic diversity is low. These results also have useful implications for managers involved in alliances for innovation, who can direct the organizational efforts towards the most effective alliance capabilities, depending on the features of their alliance portfolio. JEL CLASSIFICATION M19

Precision medicine: opportunities, possibilities, and challenges for patients and providers

2016 ◽  
Vol 23 (4) ◽  
pp. 787-790 ◽  
Author(s):  
Samantha A Adams ◽  
Carolyn Petersen
Keyword(s):  
Precision Medicine ◽  
Large Scale ◽  
Healthcare Professionals ◽  
Social Issues ◽  
Point Of Care ◽  
Individual Variability ◽  
Disease Treatment ◽  
Social Challenges ◽  
Treatment And Prevention ◽  
New Research

Abstract Precision medicine approaches disease treatment and prevention by taking patients’ individual variability in genes, environment, and lifestyle into account. Although the ideas underlying precision medicine are not new, opportunities for its more widespread use in practice have been enhanced by the development of large-scale databases, new methods for categorizing and representing patients, and computational tools for analyzing large datasets. New research methods may create uncertainty for both healthcare professionals and patients. In such situations, frameworks that address ethical, legal, and social challenges can be instrumental for facilitating trust between patients and providers, but must protect patients while not stifling progress or overburdening healthcare professionals. In this perspective, we outline several ethical, legal, and social issues related to the Precision Medicine Initiative’s proposed changes to current institutions, values, and frameworks. This piece is not an exhaustive overview, but is intended to highlight areas meriting further study and action, so that precision medicine’s goal of facilitating systematic learning and research at the point of care does not overshadow healthcare’s goal of providing care to patients.

scholarly journals Serum proteins can successfully predict self-reported ethnicity: Implications for precision-medicine

2017 ◽  
Author(s):  
Ram J Bishnoi ◽  
Raymond Palmer ◽  
Donald R Royall
Keyword(s):  
Precision Medicine ◽  
Ethnic Groups ◽  
Minority Groups ◽  
Serum Proteins ◽  
Preliminary Evidence ◽  
Individual Variability ◽  
Treatment And Prevention ◽  
Area Under Roc Curve ◽  
Genetic And Environmental Factors ◽  
Definition Of

AbstractThe effects of inter-individual variability on disease treatment and prevention are important to the goals of “precision medicine” 1. In biomedical research, consideration of racial or ethnic differences allows generation and exploration of hypotheses about interactions among genetic and environmental factors responsible for differential medical outcomes. The US National Institutes of Health, therefore recommends adequate participation of subjects from ethnic minority groups in research studies. Nevertheless, considerable debate has focused on validity of race or ethnicity as biological construct 2. Inconsistent definition of race/ethnicity and insignificant genetic variations between ethnic groups have invited disregard to this construct 3. On the contrary, differences in prevalence, expression and outcomes of various diseases among ethnic groups argue for continued and focused attention to ethnicity as important predicting variable. In context of Alzheimer’s disease (AD), we have previously reported that ethnicity does moderates the proteomic markers of dementia 4. Here, we attempted to classify and predict selfreported ethnicity (Hispanic or non-Hispanic white, [NHW]) using a limited serum profile of 107 proteins. Random Forest (RF) classification method was able to discriminate those two ethnicities with 95% accuracy and could successfully predict ethnicity in an independent test-set (Area under ROC curve: 0.97). Variable selection method led to a condensed set of six proteins which yielded comparable classification and prediction accuracy. Our results provide preliminary evidence for proteomic variability between ethnic groups, and biological validity of ethnicity construct. Moreover, they also offer an opportunity to exploit these differences towards the objectives of precision medicine.

Leveraging open innovation strategies for fueling eco-innovation performance in dynamic environments

2020 ◽  
Vol 11 (7) ◽  
pp. 1245-1270 ◽  
Author(s):  
Colin C.J. Cheng ◽  
Eric C. Shiu
Keyword(s):  
Absorptive Capacity ◽  
Open Innovation ◽  
Dynamic Environments ◽  
Innovation Performance ◽  
Organizational Capabilities ◽  
Proxy Data ◽  
Content Type ◽  
Alliance Management ◽  
Management Capability ◽  
Alliance Management Capability

Purpose Despite the rising interest in eco-innovation, few studies have examined how open innovation (OI) actually increases eco-innovation performance. Drawing on capabilities theory, this study aims to investigate how two specific organizational capabilities (alliance management capability and absorptive capacity) individually complement OI strategies (inbound and outbound) to increase eco-innovation performance, while taking into consideration high and low levels of environmental uncertainty. Design/methodology/approach To test the hypotheses, the authors used a primary survey and secondary proxy data sources from 232 Taiwan-based manufacturing firms. The authors collected survey data for measuring OI strategies, followed by secondary proxy data for measuring alliance management capability, absorptive capacity, environmental uncertainty and eco-innovation performance. Findings The results indicate that in highly dynamic environments, alliance management capability complements inbound/outbound strategies to increase eco-innovation performance. However, absorptive capacity complements only inbound strategies, not outbound strategies. Practical implications These findings have important implications for managers attempting to increase eco-innovation performance by using OI in dynamic environments. Social implications The findings provide new evidence that configurations of OI alone are not enough for increasing eco-innovation performance. Instead, firms’ eco-innovation benefits more when OI are complemented by alliance management capability. Originality/value This study makes an original contribution to the eco-innovation literature by demonstrating how organizational capabilities complement OI to increase eco-innovation performance in dynamic environments.

scholarly journals Precision Medicine for Lysosomal Disorders

Biomolecules ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1110
Author(s):  
Filippo Pinto e Vairo ◽  
Diana Rojas Málaga ◽  
Francyne Kubaski ◽  
Carolina Fischinger Moura de Souza ◽  
Fabiano de Oliveira Poswar ◽  
...  
Keyword(s):  
Precision Medicine ◽  
Lysosomal Enzyme ◽  
Individual Variability ◽  
Lysosomal Function ◽  
Treatment And Prevention ◽  
Lysosomal Disorders ◽  
Associated Proteins ◽  
The Individual ◽  
Diagnostic Technologies ◽  
Enzyme Activators

Precision medicine (PM) is an emerging approach for disease treatment and prevention that accounts for the individual variability in the genes, environment, and lifestyle of each person. Lysosomal diseases (LDs) are a group of genetic metabolic disorders that include approximately 70 monogenic conditions caused by a defect in lysosomal function. LDs may result from primary lysosomal enzyme deficiencies or impairments in membrane-associated proteins, lysosomal enzyme activators, or modifiers that affect lysosomal function. LDs are heterogeneous disorders, and the phenotype of the affected individual depends on the type of substrate and where it accumulates, which may be impacted by the type of genetic change and residual enzymatic activity. LDs are individually rare, with a combined incidence of approximately 1:4000 individuals. Specific therapies are already available for several LDs, and many more are in development. Early identification may enable disease course prediction and a specific intervention, which is very important for clinical outcome. Driven by advances in omics technology, PM aims to provide the most appropriate management for each patient based on the disease susceptibility or treatment response predictions for specific subgroups. In this review, we focused on the emerging diagnostic technologies that may help to optimize the management of each LD patient and the therapeutic options available, as well as in clinical developments that enable customized approaches to be selected for each subject, according to the principles of PM.

scholarly journals Personalized Medicine: Recent Progress in Cancer Therapy

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 242
Author(s):  
Ann Hoeben ◽  
Elbert A. J. Joosten ◽  
Marieke H. J. van den Beuken-van Everdingen
Keyword(s):  
Cancer Therapy ◽  
Personalized Medicine ◽  
Precision Medicine ◽  
Recent Progress ◽  
Tumor Treatment ◽  
Treatment And Prevention

Personalized medicine (PM) or precision medicine in oncology is an emerging approach for tumor treatment and prevention that takes into account inter- and intra-tumor variability in genes, tumor (immune) environment, and lifestyle and morbidities of each person diagnosed with cancer [...]

scholarly journals Sustainable Orientation of Management Capability and Innovative Performance: The Mediating Effect of Knowledge Management

2020 ◽  
Vol 12 (4) ◽  
pp. 1366
Author(s):  
Julio C. Acosta-Prado ◽  
Oscar H. López-Montoya ◽  
Carlos Sanchís-Pedregosa ◽  
Ulpiano J. Vázquez-Martínez
Keyword(s):  
Knowledge Management ◽  
Structural Equation ◽  
Health Sector ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Innovative Performance ◽  
Management Capability ◽  
The Relationship ◽  
Positive Effect

The literature suggests that innovation allows organizations to reach a desirable level of sustainability. There is evidence to support the role of knowledge management (KM) as well as management capability (MC) in producing a sustainable approach at organizations. Furthermore, organizations commonly achieve sustainable practices through corporate social responsibility (CSR). In particular, the health sector is increasingly implementing CSR strategies, although with a narrow understanding of the factors to success. Hence, trends lead to asymmetric growth between organizations. This study aims to examine the mediating role of KM in the relationship between MC and innovative performance (IP) in 331 Health Provider Institutions (HPIs). The research reflective model was assessed through Partial Least Squares Structural Equation Modeling (PLS-SEM). According to the results, MC has a positive effect on IP, MC has a positive effect on KM, and KM has a positive effect on IP. Likewise, KM significantly mediates the relationship between MC and IP. Our findings support the importance of KM in addressing MCs in HPIs as it enables innovative practices to address CSR goals to achieve a sustainable impact. Moreover, this study contributes by expanding KM to contexts that are not usually studied, such as health in a South American country.

External technology acquisition, exploitation and process innovation performance in emerging market small and medium sized enterprises: the moderating role of organizational slack

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thammanoon Charmjuree ◽  
Yuosre F. Badir ◽  
Umar Safdar
Keyword(s):  
Open Innovation ◽  
Emerging Market ◽  
Process Innovation ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Content Type ◽  
Technology Acquisition ◽  
The Relationship ◽  
Unabsorbed Slack ◽  
Positive Effect

PurposeThis study is among the very few to examine the firm's simultaneous use of both dimensions of open innovation and its influences on the firm's process innovation performance (PIP). Specifically, the authors consider the relationship between firm's external technology acquisition (ETA) and external technology exploitation (ETE) and examine their direct, indirect and mediating effect on the firm's PIP. The authors also examine the moderating effect of the organizations' unabsorbed slack (UASL) on the relationship between ETA and ETE.Design/methodology/approachAnalyzing data collected from 311 small- and medium-sized software development firms in emerging market; Thailand, we show that both ETA and ETE have a positive effect on PIP and that ETE fully mediates the relationship between ETA and PIP.FindingsThe authors show that both ETA and ETE have a positive effect on PIP and that ETE fully mediates the relationship between ETA and PIP. Moreover, the relationship between ETA and ETE is positively moderated by the firms' unabsorbed slack (UASL) and that the influence of ETA on PIP through ETE is stronger under higher unabsorbed slack.Originality/valueThe authors extend the “traditional” performance outcome of outbound dimension of open innovation concept, which focuses exclusively on commercialization and market (Chesbrough, 2003b), by showing that ETE positively influences the firm's PIP. Moreover, the study explains the mechanism through which ETA influence the firm's PIP by proposing that ETE fully mediates the relationship between ETA and PIP.

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