A dynamic model of resource allocation in multi-project research and development systems

This paper is devoted to the determination of parameter values of optimization problems for which they are solvable. In relation to this, the concept of monotone solvability with respect to parameter is essentially used. The procedure of construction of solvability boundaries in parameter space is realized, and it is essentially reduced to decipher the monotone function. This procedure is used for the consideration of a dynamic model of simulative control of the geological-prospecting process (the resource allocation between stages of geological-prospecting work). On the basis of this procedure using the standard package of linear programming, the complex program of decision-making for personal computers compatible with IBM XT/AT is implemented.

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Evaluating project performance by removing external effects: Implications to the efficiency of research and development resource allocation

Research Evaluation ◽

10.1093/reseval/rvu022 ◽

2014 ◽

Vol 23 (4) ◽

pp. 366-380 ◽

Cited By ~ 5

Author(s):

C.-L. Hung ◽

P.-J. Shiu

Keyword(s):

Resource Allocation ◽

Research And Development ◽

Project Performance ◽

External Effects ◽

Development Resource

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A Dynamic Model of Resource Allocation in Response to the Presence of a Synthetic Construct

ACS Synthetic Biology ◽

10.1021/acssynbio.8b00015 ◽

2018 ◽

Vol 7 (5) ◽

pp. 1201-1210 ◽

Cited By ~ 13

Author(s):

Axel Nyström ◽

Antonis Papachristodoulou ◽

Andrew Angel

Keyword(s):

Resource Allocation ◽

Dynamic Model

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TIMELY RESOURCE ALLOCATION BETWEEN R&D AND MARKETING: A SYSTEM DYNAMICS VIEW

International Journal of Innovation and Technology Management ◽

10.1142/s0219877012500125 ◽

2012 ◽

Vol 09 (02) ◽

pp. 1250012 ◽

Cited By ~ 2

Author(s):

AHMET ILKER SOYDAN ◽

M. ATILLA ONER

Keyword(s):

Resource Allocation ◽

Research And Development ◽

System Dynamics ◽

Policy Design ◽

New Products ◽

Complex Problem ◽

Trade Off ◽

Customer Base ◽

Market Saturation ◽

Underlying Processes

Trade-off between marketing and research and development (R&D) has always been a dilemma in management science for many years. Allocating the budget to departments and estimating the future profits and customer base as a result of this action has remained a "challenging task." Developing products faster, better, and cheaper than competitors has become critical to success in many markets. This may require huge initial investments in underlying processes resulting in over-investment in marketing and/or R&D in spite of insufficient purchasing power and market saturation for new products. Using a system dynamics (SD) model, this paper aims to understand the dynamics of a complex market where demand fluctuates annually. The problem contains severe difficulties in terms of planning and strategy for marketing and R&D. The budgets to be shared by R&D and marketing vary every period. The market includes feedback and dynamic issues to consider. This brings in the problem of understanding and controlling complexity in the market structure by understanding the cyclical causal relationships. The paper indicates that SD modeling is very useful in investigating and finding sustainable allocation trends in marketing and R&D, so that a firm can keep a sustainable level of customers. While searching for these trends, special attention is paid to the timing of these decisions to synchronize two activities. The paper shows an understanding of the management of a complex problem via policy design and analysis using SD modeling.

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Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 (Preprint)

10.2196/preprints.13316 ◽

2019 ◽

Author(s):

Ming Huang ◽

Maryam Zolnoori ◽

Joyce E Balls-Berry ◽

Tabetha A Brockman ◽

Christi A Patten ◽

...

Keyword(s):

United States ◽

Resource Allocation ◽

Disease Management ◽

Research And Development ◽

Biomedical Research ◽

Malignant Neoplasm ◽

The United States ◽

Technological Innovations ◽

Patent Data ◽

Patent Documents

BACKGROUND Patents are important intellectual property protecting technological innovations that inspire efficient research and development in biomedicine. The number of awarded patents serves as an important indicator of economic growth and technological innovation. Researchers have mined patents to characterize the focuses and trends of technological innovations in many fields. OBJECTIVE To expand patent mining to biomedicine and facilitate future resource allocation in biomedical research for the United States, we analyzed US patent documents to determine the focuses and trends of protected technological innovations across the entire disease landscape. METHODS We analyzed more than 5 million US patent documents between 1995 and 2017, using summary statistics and dynamic topic modeling. More specifically, we investigated the disease coverage and latent topics in patent documents over time. We also incorporated the patent data into the calculation of our recently developed Research Opportunity Index (ROI) and Public Health Index (PHI), to recalibrate the resource allocation in biomedical research. RESULTS Our analysis showed that protected technological innovations have been primarily focused on socioeconomically critical diseases such as “other cancers” (malignant neoplasm of head, face, neck, abdomen, pelvis, or limb; disseminated malignant neoplasm; Merkel cell carcinoma; and malignant neoplasm, malignant carcinoid tumors, neuroendocrine tumor, and carcinoma in situ of an unspecified site), diabetes mellitus, and obesity. The United States has significantly improved resource allocation to biomedical research and development over the past 17 years, as illustrated by the decreasing PHI. Diseases with positive ROI, such as ankle and foot fracture, indicate potential research opportunities for the future. Development of novel chemical or biological drugs and electrical devices for diagnosis and disease management is the dominating topic in patented inventions. CONCLUSIONS This multifaceted analysis of patent documents provides a deep understanding of the focuses and trends of technological innovations in disease management in patents. Our findings offer insights into future research and innovation opportunities and provide actionable information to facilitate policy makers, payers, and investors to make better evidence-based decisions regarding resource allocation in biomedicine.

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