Intra-Organizational and inter-organizational resource allocation in two-stage network systems

Ang, Sheng; Liu, Pei; Yang, Feng

doi:10.1016/j.omega.2018.11.018

Cited by 19 publications

(20 citation statements)

References 49 publications

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“…This is because the resource allocation in the university is usually closely related to the rank of the talent projects obtained by faculty. For example, the number of the graduate students, the area of laboratory, the funding and the laboratory apparatus are typical resource which should be allocated to the faculty according to their talent projects and these resource may make important impacts on their future development [29], [30]. The scholars with higher ranks of talent projects can obtain more research resource and then develop more rapidly than the scholars with lower ranks.…”

Section: Introductionmentioning

confidence: 99%

A Research Funding Allocation Scheme in Multi-Layer Networks for the Growth of Talents

et al. 2022

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The talents training is a critical issue of social development. Particularly, the growing of academic researchers in research-oriented university is a hot topic for human resources management. However, the challenge of how to achieve effective talent development with minimal macro-regulation is a challenge problem that has yet to be solved. As a school administrator, the allocation of talent project funding is a viable point of focus, although it is difficult to analyze because of the complexity structure of the universities. Inspired by the complex networks, we model the academic talents training problem in university as a multi-layer network in this paper, and the characteristics which may influence the development of faculty are investigated. Then, the development of each scholar is fitted by a growth curve in life-course pattern, based on which a research funding allocation scheme is proposed from the perspective of human resources managers. In the proposed scheme, the funding quotas of several levels are allocated to different colleges at the proper time in order to obtain the global optimization of talent training for the whole university. The simulation results show that the proposed funding allocation scheme can improve the final academic ability and the normalized score of outstanding scholars compared with the traditional proportion based allocation scheme. INDEX TERMSMulti-layer network, academic talents training, life-course pattern, research funding allocation, research-oriented university.

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Section: Introductionmentioning

confidence: 99%

A Research Funding Allocation Scheme in Multi-Layer Networks for the Growth of Talents

et al. 2022

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“…This paper has reviewed the related factors and offered a two-stage network CDEA model by integrating the two-stage NDEA and CDEA of resource allocation. Ang et al [1] examined the allocation of resources to identify the cause of inefficiency of decision-making units in two-stage production systems.…”

Section: Introductionmentioning

confidence: 99%

Centralized resource allocation with the possibility of downsizing in two-stage network production systems

Yadolladi

Matin

2021

RAIRO-Oper. Res.

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The network data envelopment analysis (NDEA) technique has been recently developed to measure the relative efficiency of complex production systems. NDEA models provide more meaningful and informative results in comparison to the conventional black-box DEA approach that ignores the operations of the component processes. Regarding the centralized decision-making systems, normal management imposes common resource constraints to maximize produced outputs and minimize consumed inputs. The present study seeks to introduce new centralized resource allocation models in two-stage network production systems. This intra-organizational perspective also provides the possibility of closing down some of the existing units to improve system efficiency. To do so, three scenarios of centralized DEA models are introduced to take advantage of this possibility. A simple numerical example is used for illustration purposes. An empirical application of the proposed approach to the twenty branches of a university is also presented to show the applicability of the new approach.

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“…Moreover, centralized resource allocation based on the improved step‐by‐step efficiency proposed by Fang (2015) can be expressed as a specific modeling in the transformation possibility set defined by Korhonen and Syrjänen (2004). Recent studies on resource allocation that adopt DEA method are numerous in terms of both theoretical extension and practical applications such as network‐based resource allocation (Li et al., 2019; Ang et al., 2020), fixed cost allocation with competition or cooperation relationships (Zhu et al., 2019; Li et al., 2020), and resource allocation based on cost (revenue) efficiency (Fang and Li, 2015; Ray, 2016). Some of the most prevalent applications of DEA‐based resource allocation are carbon emission allocation in environmental conservation (Ma et al., 2018; Zhou et al., 2018), regional highway transportation systems (Wu et al., 2018), higher education institutions (Wang, 2019), and public healthcare sectors (Yang, 2017b).…”

Section: Introductionmentioning

confidence: 99%

DEA‐based centralized resource allocation with network flows

Tao

Xiong

2020

Int Trans Operational Res

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This study investigates the centralized resource allocation problem among individual units using network flow theory in a data envelopment analysis (DEA) framework. Existing research on DEA-based resource allocation is primarily concerned with the amount of allocated resources to individual units, and only a few studies have considered resource flows when resources are allocated. To identify the internal structure of the resource allocation process, network structure is introduced and network flow theory is used to search for the optimal resource allocation scheme. Moreover, resource allocation cost is considered in network flows and a resource allocation gain (RAG) function is formulated to provide a quantitative analysis of the trade-off between production gains from resource allocation and resource allocation cost in the resource allocation process. In addition, several characteristics of the RAG function are also discussed. Lastly, the proposed method is demonstrated through an expository example with several random data and an application of the centralized resource reallocation to bank systems.

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Intra-Organizational and inter-organizational resource allocation in two-stage network systems

Cited by 19 publications

References 49 publications

A Research Funding Allocation Scheme in Multi-Layer Networks for the Growth of Talents

A Research Funding Allocation Scheme in Multi-Layer Networks for the Growth of Talents

Centralized resource allocation with the possibility of downsizing in two-stage network production systems

DEA‐based centralized resource allocation with network flows

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