Understanding facility management decision making for energy efficiency efforts for buildings at a higher education institution

2019 ◽  
Vol 199 ◽  
pp. 197-215 ◽  
Author(s):  
Amy A. Kim ◽  
Yos Sunitiyoso ◽  
Lysandra A. Medal
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Energy Efficiency ◽  
Education Institution ◽  
Facility Management ◽  
Management Decision ◽  
Higher Education Institution ◽  
Management Decision Making

scholarly journals Approbation of the Decision Making Tendency Inventory in the Russian Sample

2018 ◽  
Vol 26 (3) ◽  
pp. 146-163
Author(s):  
A.Yu. Razvaliaeva
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Education Institution ◽  
Scale Structure ◽  
Personal Factors ◽  
Higher Education Institution ◽  
Confirmatory Factor ◽  
Ambiguity Intolerance

We present the results of approbating the Decision Making Tendency Inventory (Misuraca et al., 2015) in the Russian sample (N=423, Mage= 25,01, SD = 9,63). The development of H. Simon’s satisficing theory in the current studies is considered. Confirmatory factor analysis confirmed the theoretical three-scale structure of the inventory. We describe the relations between maximizing, minimizing and satisficing scales and personal factors of decision-making, age, and education (its level and difficulty). The study demonstrates that maximizing and satisficing are close tendencies, implemented in case of making important effortful and resource-consuming (e.g., time-consuming) decisions, whereas minimizing is connected to withdrawal from effort and knowledge, avoidant strategies and ambiguity intolerance. The yielded results suggest that satisficing needs to be trained in conditions of high demands for the cognitive sphere such as studying in a higher education institution.

scholarly journals Applying behavioural economics in education: study of undergraduate practices of selecting higher educational institutions

2020 ◽  
Vol 74 ◽  
pp. 01035 ◽  
Author(s):  
Velga Vevere ◽  
Arturs Mons
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Process Development ◽  
Educational Institution ◽  
Education Institution ◽  
Behavioural Economics ◽  
Educational Institutions ◽  
Higher Education Institution ◽  
Education Study ◽  
Higher Educational

Behavioural economics have become hot topic in research and debate in last few decades. In the context of behavioural economics, it is possible to summarize resemblances and create a system based on predication and regularities of errors, by analysing consumer’s behaviour, which allows to solve issues of future process development. In paper “Applying behavioural economics in education: study of undergraduate practices of selecting educational institutions” the authors identify key factors which influence undergraduates to choose higher education institution. The purpose of this paper is therefore to identify key elements of the behavioural economics that can be used to influence undergraduate selection development in favour of higher education institution. Additionally, within the framework of the study are applied insights of behaviour economics, which help guidance general understanding of undergraduate decision making. Particularly focusing on heuristics, that undergraduates are using to ease the complexity of decision making, which can lead to systematic errors and bias. This study per se synopsizes the definite findings of developing behavioural economics, which allows to apply this knowledge to study undergraduate choice in selecting higher educational institution. In this study were used numerous methods, including literature review, interviews with representatives of higher education and behavioural economics experts and surveying undergraduates.

scholarly journals Energy Efficiency Analysis in a Higher Education Institution in Manaus - Amazonas

2019 ◽  
Vol 7 (11) ◽  
pp. 424-431
Author(s):  
Jessica Santana da Silva ◽  
Fabiana Rocha Pinto ◽  
David Barbosa de Alencar ◽  
Gisele De Freitas Lopes
Keyword(s):  
Higher Education ◽  
Energy Efficiency ◽  
Education Institution ◽  
Efficiency Analysis ◽  
Measuring Instruments ◽  
Higher Education Institution ◽  
Air Conditioners ◽  
Electric System ◽  
Electricity Bill ◽  
Energy Efficiency Analysis

Thinking about solving the problem of high consumption and high cost in the electricity bill, this study proposes to present proposals to increase the energy efficiency of the site. In this sense, it is proposed an energy efficiency analysis of a Public Higher Education Institution in the Municipality of Manaus, Amazonas. A building survey was performed on the appliances and components of the building's electrical system, as well as an assessment of electricity bills to measure consumption. In order to verify voltage, current and power, electric measuring instruments were used to elaborate proposals aiming at increasing the energy efficiency of the site. Through the results obtained during the building survey at the IES, it was possible to observe the anomalies of the systems and indicate proposals for repair or replacement of equipment to increase the energy efficiency of the building. From the results obtained from the invoice it was possible to propose a new value of demand contract and by comparing the collected data, we identified the appliances that make the electric system less efficient, in this case, the air conditioners. Recurring payment problems with overconsumption were encountered. Adhering to the proposal of a new contract value with possible annual savings of R $ 22,543.92 referring to the payment of the demand portion in the electricity bill. It is also proposed to replace current lamps with LED tube lamps, reducing energy consumption by 9,122 kWh / month and saving R $ 3,263.57 per month. As for the proposal presented for the HVAC system, given the exchange of existing appliances for new and energy efficient, was not viable. Despite representing a reduction of 41869.91 kWh / month, the expected investment is not paid.

Measurement of Facility Management Competencies in Higher Education Institution

2014 ◽  
Vol 71 (4) ◽  
Author(s):  
Mariah Awang ◽  
Abdul Hakim Mohammad ◽  
Maimunah Sapri ◽  
Mohd Shahril Abdul Rahman ◽  
Nik Mohd Iezuan Nik Lah
Keyword(s):  
Higher Education ◽  
Higher Education Institutions ◽  
Education Institution ◽  
Facility Management ◽  
Working Environment ◽  
Management Competencies ◽  
Higher Education Institution ◽  
Chi Square ◽  
Bartlett’S Test ◽  
Selection Of

Facility management competency plays an important role in providing conducive facilities for higher education institutions. This study will examine the selection of measurement items for facility management competencies in higher education institution. Variables examined in this study are leadership and management, managing people, understanding business organization, operation and maintenance, managing premises, managing services, managing resources, and managing the working environment. Respondents consisted of 646 individuals who manage the facilities of higher education institutions. Data was analysed by using SPSS version 20 software. Results showed that the stated variables were categorized into five areas of facility management competencies with Eigenvalues above 1.0. The value of the Kaiser-Meyer-Olkin Measure of Sampling Adequacy 0.966 > 0.6 was adequate for inter-correlation, while Bartlett’s Test was significant (Chi Square = 23069.264, p <0.05). Hence, factor analysis was carried out and the results formed five constructs that were able to explain 71.78% of the polytechnic facility management competencies. In terms of reliability, the Cronbach’s Alpha value classification was very high, exceeding 0.7. Accordingly, the findings obtained reveal that the instrument can identify facility management competencies required to manage facilities in the polytechnics.

scholarly journals ПРОГНОЗИРОВАНИЕ ИЗМЕНЕНИЯ ВКЛАДА ПРЕПОДАВАТЕЛЯ В РАБОТУ КАФЕДРЫ С ИСПОЛЬЗОВАНИЕМ МЕТОДОВ ИНТЕЛЛЕКТУАЛЬНОГО АНАЛИЗА ДАННЫХ

2018 ◽  
Vol 63 (1) ◽  
pp. 266
Author(s):  
Oleksandr Yu. Melnykov
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Program Implementation ◽  
Real Data ◽  
Education Institution ◽  
Educational Institutions ◽  
Higher Education Institution ◽  
Visual Modeling ◽  
Decision Making System ◽  
Department Faculty

The existing forms and methods of assessing the work of teachers of higher educational institutions are described. The conclusion is made that the combination of indicators into groups (categories) and the introduction of different weight factors depends on the specifics of the institution and the prevailing ideas about the priority of this or that type of activity. Practically all the considered methods do not take into account the change in the contribution share of each teacher in the integral indicator of the work of the whole department (department, faculty). The goal was to predict the change in the contribution of an individual teacher to the indicators of a higher education institution by means of mathematical modeling and intellectual decision-making. The prediction task is identified as a suitable data mining task. Methods for forecasting the assessment of the work of teachers - regression and neural network - were chosen. An object-oriented model of a projected computer system in the language of visual modeling of UML is described. Diagrams of use cases, classes and states are given. The program implementation of the intellectual decision-making system for evaluating the work of teachers of a higher education institution and an example of the system's operation based on real data are described. Conclusions are made about a possible change in the contribution share of each teacher in the indicators of the department.

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