一个衡量和管理南非公立大学绿色倡议实施的概念模型

Lelo Tshivhase, C. Bisschoff
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引用次数: 1

摘要

对环境意识的日益增长的需要突出了绿色和可持续商业做法的重要性。对于那些将绿色培训和研究扩展到绿色运营实践的大学来说,情况也是如此。本文总结了实施绿色倡议的主要原则和因素。首先,一个通用的理论方法概念化在大学实施绿色倡议。该调查分析了大学现有的和当前的绿色倡议,考虑了实施绿色倡议的好处和障碍,并为南非公立大学实施绿色倡议开发了一个理论模型。一个由20个显著文献前因(p≤0.05)和13个潜在变量(因子)组成的适应性概念模型可以假设。该模型用可靠的数据(α = 0.749)进行了实证检验,这些数据来自于对8所选定的南非公立大学的144名绿色管理者进行的五点李克特问卷调查。虽然回归模型解释了令人满意的方差(R2 = 0.862;R2调整= 0.841),理论模型中20个前因中只有5个显著。分别是绿色产品成本(r = 0.527;p≤0.05),缺乏意识和培训(r = 0.435;p≤0.05)、管理态度与承诺(r = 0.369;p≤0.05),数字化(r = 0.552;p≤0.05),管理委员会(r = 0.451;P≤0.05)。进一步分析表明,这些数据具有嵌入式智能。结果,确定了13个因素,解释了61.8%的累积方差。然而,只有6个因素是可靠的,因此是可用的(α≥0.57)。F1:便捷高效的工作流程,F2:人员合作,F3:资源的高效利用,F5:学习和改进,F6:授权,F7:改进的管理态度。累积起来,这六个可用因素解释了45.5%的累积方差。该模型旨在展示和衡量公立大学实施绿色倡议的情况。虽然理论模型是详细的,但实证研究表明,并非所有的前因都可用于衡量和管理南非公立高等院校绿色倡议的实施。本研究验证了五个先行项和六个直接使用的因素。该模型的未验证的前提和不可靠的因素需要在充分操作之前进行经验再验证。探索绿色倡议实施模式的研究人员和学者也可以从本文中受益。
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A conceptual model to measure and manage the implementation of green initiatives at South African public universities
The growing need for environmental awareness accentuated the importance of green and sustainable business practices. This is also true for universities that modernly expanded their green training and research to engage in green operational practices.This article summarises the main principles and factors of implementing green initiatives. Firstly, a generic theoretical approach conceptualizes implementing green initiatives at universities. The investigation analyses existing and current green initiatives at the universities, considers the benefits and barriers of implementing green initiatives, and develops a theoretical model for implementing green initiatives at South African public universities. An adapted conceptual model consisting of twenty significant literature antecedents (p ≤ 0.05) and 13 latent variables (factors) could be hypothesized. This model was tested empirically with reliable data (α = 0.749) from a five-point Likert scale questionnaire administered to 144 responding green managers at eight selected South African public universities.Although the regression model explains satisfactory variance (R2 = 0.862; R2 adjusted = 0.841), only five of the 20 antecedents in the theoretical model are significant. They are Cost of green products (r = 0.527; p ≤ 0.05), Lack of awareness and training (r = 0.435; p ≤ 0.05), Managerial attitude and commitment (r = 0.369; p ≤ 0.05), Digitisation (r = 0.552; p ≤ 0.05), and Management Committee (r = 0.451; p ≤ 0.05). Further analysis revealed that the data possess embedded intelligence. Resultantly, 13 factors were identified, explaining a cumulative variance of 61.8%. However, only six factors are reliable and, therefore, usable (α ≥ 0.57). They are F1: Convenience and efficient workflow, F2: Personnel cooperation, F3: Efficient use of resources, F5: Learning and improvement, F6: Delegation of authority, and F7: Improved management attitude. Cumulatively, the six usable factors explain a cumulative variance of 45.5%.The model aspires to demonstrate and measure the implementation of green initiatives at public universities. Although the theoretical model is detailed, the empirical study showed that not all of the antecedents are usable for measuring and managing the implementation of green initiatives at South African public higher institutions. This study validated five of the antecedents and six factors for immediate use. The model's unvalidated antecedents and unreliable factors require empirical revalidation before operationalizing it fully. Researchers and scholars exploring this avenue of green initiatives implementation models can also benefit from this article.
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