A model for budget allocation in multi-unit libraries

Arora, Anish; Klabjan, Diego

doi:10.1016/s1464-9055(02)00277-4

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…Because library management often has to significantly increase the value of materials in terms of quality and quantity. Arora and Klabjan (2002) keenly observed that over the past 10 years, the rise in material costs for libraries had become a potential issue for public and private academic libraries worldwide. Currency fluctuations have an increasing impact on database resources and printed materials.…”

Section: Financial Planmentioning

confidence: 99%

Digital resources integration under the knowledge management model: an analysis based on the structural equation model

Rafi

Zheng

Ahmad

2020

IDD

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Purpose In the age of knowledge explosion, modern technology facilitates the acquisition, organization and effective dissemination of information to support academic research. To achieve long-term educational goals, integrating digital resources into a knowledge management model (KMM) has become a necessary prerequisite for university management. The proposed KMM aims to combine resources and technology to facilitate resource management, navigation and cross-database search for advanced research. Design/methodology/approach The published literature on digital resource integration was reviewed, and the status of resource organization was discussed with experts to compile research instruments together with the perspectives of serving professionals in universities. The data obtained was systematically processed to develop an integrated resource KMM. Data volume measurement was done with the SPSS software and AMOS was used for path analysis and modeling. After the conceptual model was developed, many assumptions were associated with it, and the software was run on the data set to validate the proposed theoretical model. Findings Library resources with four components (digital resources, information technology, financial planning and service promotion) have been successfully integrated into the knowledge management framework to organize resources and provide academic services for researchers. In addition to the organization of digital resources, the two components of knowledge management, such as the explicit knowledge of its technology-oriented nature and the tacit knowledge of its human-centered positions, remained useful to strengthen the integration process. Practical implications With the development of digital technology and the internet, information authentication, access and dissemination have become a complex task for information centers. As an integral part of modern digital libraries, the expansion of digital collections requires proper accessibility organization. Owing to the increasing number of digital resources, organization and management require thorough research and appropriate integration mechanisms. This integrated KMM helps to organize heterogeneous information resources and databases in libraries for long-term academic tasks. Originality/value Based on literature studies and discussions with academic experts, integration problems were identified, and raw data were obtained from the library management to find a solution. It is unique research owing to a lack of original work and extensive international literature on resource integration in connection with KMMs. This study has innovative findings that can add value to world literature.

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Section: Financial Planmentioning

confidence: 99%

Digital resources integration under the knowledge management model: an analysis based on the structural equation model

Rafi

Zheng

Ahmad

2020

IDD

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“…The velocity of the particle s is obtained by (12), where each particle s possesses a velocity of V sij . After updating the velocity of each particle, we need to update the position of each particle by (10). For each position particle s in iteration t+1 (P sij t+1 ), we adopt a decision function shown in (10) to determine whether each coordinate of the position is 1 or 0 following the sigmoid function (11).…”

Section: Velociety Updatingmentioning

confidence: 99%

“…Meanwhile, [5,8,9] show that the practical concerns of library acquisition may involve the users' satisfaction, the limitation of budget, the allocation of categories, the speedy and quality selection, and so on. Furthermore, Arora [10] addressed one typical situation, a large academic library composed of several library units that are interrelated and have a single collections budget.…”

Section: Introductionmentioning

confidence: 99%

Discrete particle swarm optimization for materials acquisition in multi-unit libraries

Wu¹,

Shyu²,

Ho³

et al. 2012

2012 IEEE Congress on Evolutionary Computation

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With limited budget and inflation rate, the materials acquisition in multi-unit libraries has been a challenging issue all over the world. The materials acquisition for multi-unit libraries can be regarded as a generalized version of the knapsack problem, which was known to be NP-hard, with much more constraints. Thus, it can be computationally expensive to solve the problem. In this paper, the materials acquisition problem in multi-unit libraries is formulated as an integer programming model, and two different constraint-handling mechanisms applied in discrete particle swarm optimization algorithm for obtaining the near optimal solution are presented. It is evident from our computational results that one constraint-handling mechanism can solve the problem effectively and efficiently, while the other one takes more time.

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“…The objective of this model is to maximize the total social benefits conveyed by the funds exercised for the purchase of materials among all departments, and the constraints of this model are the lower and upper limits of fund for each department and the total funds available. Arora and Klabjan [9] point out the critical concern about fairness in materials acquisition of academic libraries. They provide a model for maximizing the usage in the future time period subject to the bounds on the number of materials of each category and the lower and the upper bounds on the budgets of the library units.…”

Section: Introductionmentioning

confidence: 99%

Discrete Particle Swarm Optimization with Scout Particles for Library Materials Acquisition

Shyu

et al. 2013

The Scientific World Journal

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Materials acquisition is one of the critical challenges faced by academic libraries. This paper presents an integer programming model of the studied problem by considering how to select materials in order to maximize the average preference and the budget execution rate under some practical restrictions including departmental budget, limitation of the number of materials in each category and each language. To tackle the constrained problem, we propose a discrete particle swarm optimization (DPSO) with scout particles, where each particle, represented as a binary matrix, corresponds to a candidate solution to the problem. An initialization algorithm and a penalty function are designed to cope with the constraints, and the scout particles are employed to enhance the exploration within the solution space. To demonstrate the effectiveness and efficiency of the proposed DPSO, a series of computational experiments are designed and conducted. The results are statistically analyzed, and it is evinced that the proposed DPSO is an effective approach for the studied problem.

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A model for budget allocation in multi-unit libraries

Cited by 6 publications

References 8 publications

Digital resources integration under the knowledge management model: an analysis based on the structural equation model

Digital resources integration under the knowledge management model: an analysis based on the structural equation model

Discrete particle swarm optimization for materials acquisition in multi-unit libraries

Discrete Particle Swarm Optimization with Scout Particles for Library Materials Acquisition

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