Human Capital Planning of Faculties in Higher Education Institutions with  Analytic Hierarchy Process Model

Zhang, Ling; Lei, Yu; Yang, Zhen; Du, Qing

doi:10.4236/jhrss.2014.24023

Cited by 3 publications

(3 citation statements)

References 4 publications

(4 reference statements)

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“…Because human capital can provide higher education institutions with a competitive advantage, they "now need strategies and initiatives that will bring improvements through their greatest asset" (Broadhurst, 2012, p. 27). Most colleges and universities attempt to align faculty needs based on the mission of the institution (Zhang, Yu, Yang, & Du, 2014). College and university administrators are constantly struggling to have the appropriate faculty in the right place at the right time (Khasawneh, 2011).…”

Section: Instructionmentioning

confidence: 99%

Functional Expense Allocation Ratios to Predict Financial Condition at Public Higher Education Institutions

2021

JAF

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The higher education industry has faced increased competition in recent years from new institutions and learning platforms entering the marketplace. Public higher education institutions, in particular, have been forced to develop strategic plans due to limited state funding in recent years. These colleges and universities face the challenge of allocating their limited financial resources in a manner that will optimize financial strength and ensure long-term sustainability. Institutions classify their operating expenses into several different functional expense categories, including instruction, academic support, student services and operations and maintenance of plant. This paper analyzed the relationship between allocation ratios of functional expenses and an institution's financial condition. Multiple regression analysis was performed to determine how fluctuations in financial allocation ratios impact an institution's financial condition. The research could aide higher education institutions in strategically allocating resources to improve their financial position.

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Section: Instructionmentioning

confidence: 99%

Functional Expense Allocation Ratios to Predict Financial Condition at Public Higher Education Institutions

2021

JAF

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“…Paper explains application of multi-objective optimisation method in HR allocation in order to be aligned with institutional strategic plans within chosen university. [18] proposed human capital planning model based on analytic hierarchy process, with the help of which the dimension for faculty number of each school university could be obtained according to the performance of assessment of teaching, research and service. [15] already provided research optimizing HR allocation within Croatian higher education system in terms of minimising employees' costs, but in the same time determining the required number of teaching and researching staff who will fulfil all their duties.…”

Section: Mathematical Programming Models In Human Resource Planningmentioning

confidence: 99%

Optimising the number of teaching and researching staff within Croatian higher education system

Marasović¹,

Tadić²,

Kalinić³

2019

Cro. Oper. Res. Rev.

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Human resources represent crucial resource and capital for any organization's success, because they generate knowledge, skills, abilities and experience which distinguish organizations and emphasize their competitive advantage. Nowadays, managers are struggling in their competition in order to maximize performance results and other positive effects obtained by their crucial resource and in the same time minimizing production costs and other belonging losses. Although, higher education does not represent production in the true sense of the word, management leads the same battle, related to faculty teaching and researching staff workload, setting goals and various constrains. The main aim of this paper is optimization of human resource allocation within Croatian higher education system, according to several goals, related to their teaching and researching staff workload, minimizing deviation from set goals defined according to Croatian higher education regulations. The paper suggests the use of integer goal programming model in order to find optimal solution presented with the number of teachers and researchers within each department of chosen faculty. The model will be applied to the example of Croatian faculty, due to certain specificities of Croatian higher education system and will be applicable to any other Croatian faculty. Different optimal model solutions, obtained for different number of goals, will be compared within the paper. This model will secure optimal level of teaching and researching positions, considering multiple goals, with the emphasize of evolution and progression on individual level, simultaneously providing the best quality for students, as well as competitive and profitable work of the institution.

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“…Rouyendegh and Erkan (2012) use fuzzy analytic hierarchy process (FAHP) in selecting the most adequate academic staff. Zhang, Yu, Yang, and Du (2014) proposed AHP model for estimating the faculty number of each school within the university. Besides this, for firms to be able to choose the best university for collaboration Salimi and Rezaei (2015) use fuzzy AHP.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-Criteria Decision Making Approach Regarding the Choice of University for Postgraduate Studies

Cvetkoska¹,

Spasevska²

2015

IBR

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The problem set in this paper regards how to make the choice of University for postgraduate studies. The multi-criteria decision making approach is suggested to be used for solving this problem. The idea is to decompose the problem into the following elements: goal-choice of University for postgraduate studies; criteria that contribute to achieving the goal and that can be of quantitative or qualitative nature; and alternatives-Universities that the choice will be made from. For such problem a hierarchical model can be built, and it can be solved by using the analytic hierarchy process (AHP). The objective of this research, which will be conducted in the form of a questionnaire among the best fourth-year students from Ss. Cyril and Methodius University in Skopje, Faculty of Economics-Skopje, is to determine how many of them will continue their education in postgraduate studies, and where, as well as to identify the criteria that are important in their opinion when choosing a University. Once the participants' answers are received, two groups of criteria that are important regarding the choice of University (in Macedonia and abroad) will be created, and thus two groups of participants will be formed. The choice of criteria will be made according to the arithmetic mean, and if the number is high then factor analysis will be used for their reduction. Afterwards, the participants will be introduced to the AHP method and for combining the individual judgments in group judgment; the geometric mean will be used. The University that is the best choice for each of the participants will come as a result of the ranking of the overall priorities of the alternatives.

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Human Capital Planning of Faculties in Higher Education Institutions with Analytic Hierarchy Process Model

Cited by 3 publications

References 4 publications

Functional Expense Allocation Ratios to Predict Financial Condition at Public Higher Education Institutions

Functional Expense Allocation Ratios to Predict Financial Condition at Public Higher Education Institutions

Optimising the number of teaching and researching staff within Croatian higher education system

Multi-Criteria Decision Making Approach Regarding the Choice of University for Postgraduate Studies

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