A canonical correlation analysis of the relationship between sustainability and competitiveness

Santos, Silvio Francisco dos; Brandi, H. S.

doi:10.1007/s10098-014-0755-2

Cited by 19 publications

(6 citation statements)

References 14 publications

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“…A series of three canonical correlation analyses were conducted to examine the relationship between (a) individual and group engagement; (b) individual engagement and group functioning; and (c) group engagement and group functioning. While CCA has been considered a large sample procedure (Boedeker & Henson, 2020), there are several examples of studies employing the procedure with smaller samples (Dos Santos & Brandi, 2014; Mahmood & Mann, 1993; Van Auken et al, 1993) including those within a higher education context (Engellant et al, 2016; Kim & Shin, 2021; Pugh & Hu, 1991; Sahin et al, 2013). However, sample size sufficiency is important for CCA, and a minimum threshold of 10 observations per variable is recommended (Hair, 2009), which is approximated at 9.6 for the current study.…”

Section: Resultsmentioning

confidence: 99%

Tell Me a Story! Blending Digital Storytelling Into Marketing Higher Education for Student Engagement

Spanjaard

Garlin

Mohammed

2022

Journal of Marketing Education

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Multimodal learning via the use of smart devices, online social interactions, and intuitive communication platforms are fundamentally changing teaching and learning settings. Consequently, educators face unique challenges around student engagement as learners increasingly look to the use of technology-enabled activities for meaningful collaboration. Within this context, this research explores the role of digital storytelling in promoting perceived individual student and group engagement, and how these interact with group functioning, in a postgraduate marketing subject. We evaluate the implementation of this assessment as an avenue to optimize the benefits of the blended learning setting. It contributes to understanding by incorporating the concept of collective, or collaborative engagement where there is a scarcity of research despite the widespread application of group assessment in business education, and marketing education in particular. We employed canonical correlation analysis as an exploratory technique to gain initial insight into its efficacy for student engagement. We contend that digital storytelling shows promise as an inherently social and interactive learning task to provide an authentic assessment for a range of marketing problems. In turn, these attributes provide a stimulating vehicle for student engagement that can promote learning and satisfaction.

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Section: Resultsmentioning

confidence: 99%

Tell Me a Story! Blending Digital Storytelling Into Marketing Higher Education for Student Engagement

Spanjaard

Garlin

Mohammed

2022

Journal of Marketing Education

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“…Previous studies have already found robust correlations between environment (EPI) and competitiveness (GCI), suggesting that the most competitive countries also have the best environmental conditions and performance (dos Santos & Siqueira Brandi, 2014;Kasimovskaya & Didenko, 2014). Moreover, .…”

Section: Environment and Geography (E)mentioning

confidence: 99%

Conditions (Predictor Variables): Theories Explaining Prosperity Differences (B), (C), (D), (E)

Portilla

2021

“Ye Shall Know Them by Their Fruits”

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This chapter defines the conditions elements of the research model in this study (Fig. 10.1007/978-3-030-78498-0_2#Fig1). Therefore, Sects. 5.1–5.7 refer to some influential theories that have sought to explain differences in prosperity between countries from diverse disciplinary perspectives. Potential prosperity factors/theories can be clustered into three groups: (1) cultural and religious values; (2) institutions and economic growth; (3) environment and geography. Each of these distinct theories may contain “a grain of truth” about understanding prosperity imbalances between countries. Ideally, prosperity theories should be complementary instead of competing explanations. For example, geography and environmental theories explain how seasonal lands can provide a society and its economy better conditions to prosper. Institutional theory helps explain how institutions model social prosperity by perpetuating equality loops or by concentrating wealth. Cultural theory contributes to the understanding of the influence of cultural variables, such as religious beliefs and values, on prosperity. Yet, the relations among environment/geography, culture, institutions, and prosperity are highly complex and involve massive historical dynamics which would normally far exceed the scope of empirical research.

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“…Sensitivity analysis allows answering the question: ''What percentage of the variance or uncertainty (change) in the target output quantity is caused by the single input quantity x i ?'' (Oracle 2015). It helps to analyze the effect of input quantities (indicators), on the variance of the output quantities (sustainability index) and what are the most important indicators in the model.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Introducing measurement science into sustainability systems

Brandi

Santos

2015

Clean Techn Environ Policy

Self Cite

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In this paper, we discuss perspectives of adopting procedures of metrology, the science of measurements, into sustainability assessments. We present an overview of general concepts of system theory, sustainability, and sustainability metrics. We use these concepts together with the Guide to the Expression of Uncertainty in Measurement (GUM) metrological approach to include estimation of uncertainties and sensitivity analysis in the model framework to construct aggregated sustainability indicators proposed by Santos and Brandi. To illustrate the method, we apply Canberra distance to study the sustainability of the integration and logistic infrastructure dimension of the biodiesel supply chain in Brazil and Germany. Sustainability has been embodied into government, industries and corporations' policies through standards, conformity assessment, and metrology. This increases the need for sound measurements to address sustainability. To perform sensitivity analysis, we propose an expression to evaluate changes in the sustainability index due to variations in a given indicator, generalizing the linear approximation of the GUM framework. We concluded that metrological procedures can be applied to estimate uncertainties of sustainability systems and their components. Adopting metrological procedures may be an important step to harmonize approaches involving measurements in sustainability systems. Sensitivity analysis provides information about the influence on the sustainability index due to variations of indicators from sustainability systems.

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A canonical correlation analysis of the relationship between sustainability and competitiveness

Cited by 19 publications

References 14 publications

Tell Me a Story! Blending Digital Storytelling Into Marketing Higher Education for Student Engagement

Tell Me a Story! Blending Digital Storytelling Into Marketing Higher Education for Student Engagement

Conditions (Predictor Variables): Theories Explaining Prosperity Differences (B), (C), (D), (E)

Introducing measurement science into sustainability systems

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