Resource Allocation and Strategy

Maritan, Amos; Lee, Gwendolyn K.

doi:10.1177/0149206317729738

Cited by 57 publications

(32 citation statements)

References 32 publications

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“…A few studies use empirical methods to combine the two for comparative analysis and objectively reflect the specific differences between regions. [7,8]. e DEA method has no special requirements on the input-output function form and decision-making unit and does not need to know the functional relationship between the input and output in advance.…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing the Allocation of Regional Sci-Tech Financial Resources Based on the Multiple Regression Model

Zhang

2021

Mathematical Problems in Engineering

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This article uses a multiple regression model to evaluate the extent to which financial resources in various regions can be put into the most appropriate direction through the financial system or financial market. This paper uses the Tobit model to conduct empirical analysis on the input and output data of technology finance in multiple provinces and cities and explores the impact of various factors on technology finance efficiency from the perspective of three technology finance entities: high-tech enterprises, governments, and venture capital companies. Based on the DEA model and Malmquist index model in the data envelopment analysis method, this paper uses deap software to calculate the efficiency of agricultural science and technology resource allocation in Gansu Province and the efficiency of agricultural science and technology operation in many provinces in the western region. This paper divides the allocation of scientific and technological innovation resources into the ability to allocate scientific and technological innovation resources and the allocation efficiency of scientific and technological innovation resources. By constructing a performance evaluation system for the allocation of scientific and technological innovation resources, it is found that there are obvious differences in the ability and efficiency of scientific and technological innovation resource allocation in various regions. This paper proposes the selected efficiency evaluation method, the multiple regression model, which uses the data from 2012 to 2018 to evaluate the efficiency of the allocation of scientific and technological financial resources in my country, calculates the efficiency value of each region, and conducts a comparative analysis of provinces and regions. Research shows that, through multiple regression model analysis, the total technical efficiency of technology finance in Northeast China rose from 0.759 fluctuations in 2012 to 0.922 in 2018, gradually reducing the difference with the eastern and western regions. The overall promotion plays a significant role. The innovation of this article lies in the use of multiple regression models to analyze the factors affecting the allocation of regional scientific and technological financial resources, aiming to improve the efficiency of financial resource allocation.

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Section: Introductionmentioning

confidence: 99%

Factors Influencing the Allocation of Regional Sci-Tech Financial Resources Based on the Multiple Regression Model

Zhang

2021

Mathematical Problems in Engineering

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“…He suggests that instead of allocating limited resources evenly to try to compete in every area of a previously established market, it is wise to identify a niche and allocate resources to dominate that particular sector. 1 An example in the context of plastic surgery would be cosmetic surgery. According to the idea proposed by Welch, a homogenous group of plastic surgeons practicing under the same discipline such as cosmetic surgery might be better served than a more heterogeneous group trying to appoint a couple surgeons to compete in each market space.…”

Section: Processmentioning

confidence: 99%

“…The first step to executing a strategy, however, is to design the proper structure for the business. 1 The structure serves as the basic framework and is centered around determining the key roles and their placement in the hierarchy, where power and decision-making capability are allocated, and the direction in which command flows. With regard to the medical professional who desires to enter the competitive world of private practice, the structure of their practice is paramount to their success in an alreadyestablished free market.…”

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confidence: 99%

Strategy Assessment for the Medical Professional

Bhadkamkar

Ewing

Jalalabadi

et al. 2018

Seminars in Plastic Surgery

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While medical professionals are superbly trained in treating patients, they are not often trained in quality improvement principles. In this article, the authors present a framework for strategy assessment commonly used in the business sector to identify areas for improvement and measure the improvement of interventions. This framework can be adapted to the medical field and used to improve the delivery of health care at a systems level.

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“…A firm's rewards and controls shape resource allocation decisions by managers at multiple levels of the firm (Anand, ; Anand, Kim, & Lu, ; Maritan & Lee, ). Research argues that firms' rewards and controls need to align managerial and corporate incentives to allocate resources such as money and people, typically focusing on information asymmetry problems involving senior managers (Rajan & Reichelstein, ; Souder & Shaver, ; Wang, He, & Mahoney, ).…”

Section: Introductionmentioning

confidence: 99%

Middle management involvement in resource allocation: The evolution of automated teller machines and bank branches in India

Natarajan

Mahmood

Mitchell

2019

Strategic Management Journal

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Research Summary: Managers at multiple levels of a firm influence resource allocation but most research focuses on senior rather than middle managers. We study involvement of middle managers in decision making, focusing on how rewards and controls shape resource allocation. We argue that higher income growth uncertainty (rewards) and lower monitoring (controls) increase resource allocation most strongly when middle managers are more involved in decisions. We test the arguments for ATM and bank branch allocations in Indian banks from 2011 to 2014. We assess causal mechanisms by comparing more and less favorable conditions for allocation, as well as considering a poststudy exogenous shock. The results suggest that the rewards and controls have different associations with resource allocation depending on the involvement of senior and middle managers. Managerial Summary: The study examines how rewards and controls shape resource allocation decisions by middle managers, focusing on rewards arising from uncertainty about employee income and controls based on monitoring. The work suggests that rewards and controls that influence resource allocation by one level of managers may have less effect for another level. Hence, a firm's plans for resource deployment need to include rewards and controls that are relevant for both senior and middle managers. K E Y W O R D S agency problems, incentives, middle managers, resource allocation, senior managers

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Resource Allocation and Strategy

Cited by 57 publications

References 32 publications

Factors Influencing the Allocation of Regional Sci-Tech Financial Resources Based on the Multiple Regression Model

Factors Influencing the Allocation of Regional Sci-Tech Financial Resources Based on the Multiple Regression Model

Strategy Assessment for the Medical Professional

Middle management involvement in resource allocation: The evolution of automated teller machines and bank branches in India

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