Academic Policy Regarding Sustainability and Artificial Intelligence (AI)

Tanveer, Muhammad; Hassan, Shafiqul; Bhaumik, Amiya

doi:10.3390/su12229435

Cited by 40 publications

(24 citation statements)

References 24 publications

(24 reference statements)

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“…Ethical marketing may win the customer's confidence, which would help develop a sustainable relationship between brand and customer [68][69][70][71][72][73][74]. A vast literature has investigated the role of ethical standards in extended marketing mix elements on brand loyalty [22][23][24][25][26][27][28][29], on the attitudinal and behavioral outcomes [30,31], and on the customer-brand relationship sustainability in B2C transactions [32,33]. However, the literature has investigated the ethical marketing in limited marketing mix elements.…”

Section: Contribution Of the Present Studymentioning

confidence: 99%

“…Despite the apparent significant role of ethical marketing practices on relationship building, product evaluation, and high-brand loyalty, only a few studies have examined the effects of extended marketing mix elements (viz. product, price, place, promotion, person, physical evidence, and packaging) on consumption and brand loyalty [22][23][24][25][26]. Moreover, ethical marketing practice plays a significant role in improving consumer-firm ties, product assessment, and brand loyalty [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

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Role of Ethical Marketing in Driving Consumer Brand Relationships and Brand Loyalty: A Sustainable Marketing Approach

et al. 2021

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This research is focused on studying the impact of ethical marketing practices on value-adding product sustainability and customer brand relationship sustainability. It further investigates the consequent effects of value-adding product sustainability and customer brand relationship sustainability on brand loyalty. Data for this study were collected from a sample of 1500 customers having multiple interactions with goods and brands of retail organizations in Pakistan. We employed structural equation modeling (SEM) using SPSS 24.0 to analyze our data. The findings of this paper provide empirical support to the proposed relationships. More specifically, ethical marketing practices were found to have a significant impact on value-adding product sustainability and customer-value brand relationship sustainability. The findings also support a positive impacts of value-adding product sustainability and customer-value brand relationship sustainability on brand loyalty. This study provides some valuable implications for the theory and practice in that it identifies and empirically validates key ethical marketing factors affecting loyalty in business-to-consumer interactions. Besides, this study advocates implications for firms regarding some key aspects of ethical marketing practices that should be strengthened to achieve sustained brand loyalty.

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Section: Contribution Of the Present Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Role of Ethical Marketing in Driving Consumer Brand Relationships and Brand Loyalty: A Sustainable Marketing Approach

et al. 2021

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“…Nonetheless, it is expected that the implementation of AI in these countries is promising for transforming the public services of poor countries, including the medical sphere [26]. In order to reach this aim, several political implications are proposed, including the creation of a comprehensive plan for AI [171] and the usage of cloud technology for data collection and analysis [26]. Moreover, it was advised that integrating AI technologies into existing governmental systems would be more effective than creating new systems [26].…”

Section: Discussionmentioning

confidence: 99%

Utilities of Artificial Intelligence in Poverty Prediction: A Review

et al. 2022

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Artificial Intelligence (AI) is generating new horizons in one of the biggest challenges in the world’s society—poverty. Our goal is to investigate utilities of AI in poverty prediction via finding answers to the following research questions: (1) How many papers on utilities of AI in poverty prediction were published up until March, 2022? (2) Which approach to poverty was applied when AI was used for poverty prediction? (3) Which AI methods were applied for predicting poverty? (4) What data were used for poverty prediction via AI? (5) What are the advantages and disadvantages of the created AI models for poverty prediction? In order to answer these questions, we selected twenty-two papers using appropriate keywords and the exclusion criteria and analyzed their content. The selection process identified that, since 2016, publications on AI applications in poverty prediction began. Results of our research illustrate that, during this relatively short period, the application of AI in predicting poverty experienced a significant progress. Overall, fifty-seven AI methods were applied during the analyzed span, among which the most popular one was random forest. It was revealed that with the adoption of AI tools, the process of poverty prediction has become, from one side, quicker and more accurate and, from another side, more advanced due to the creation and possibility of using different datasets. The originality of this work is that this is the first sophisticated survey of AI applications in poverty prediction.

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“…Research on the education system approaches the concept of sustainability from two perspectives-first, through which education for a sustainable environment refers to educational policies for the development of knowledge, skills and values, which support sustainable development and economic sustainability [10][11][12]. The second perspective of the education system related to sustainability associates the concept of education sustainability with the concept of social sustainability [13].…”

Section: Introductionmentioning

confidence: 99%

Sustainability of Youth Careers in Romania—Study on the Correlation of Students’ Personal Interests with the Selected University Field of Study

Cioca

Bratu

2020

Sustainability

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Sustainable use of resources is an act of social responsibility, in which all the factors that benefit or exploit that resource are involved. Education, with its most important goal—finding a place in the labor market in the form of a career—is a process that involves multiple financial, human and institutional resources. The present study analyzes to what extent the careers that young people in Romania build correlate with their personal interests. Using the Holland Test, the interests of a group of engineering students were identified. It was observed that there are three typologies of people: those who have chosen their field of study according to their interests, those who are interested in interdisciplinary fields of which engineering is a part and the third category, who have no interest in the field of engineering. The percentages of the three categories are approximately equal, which should determine the change of educational policies in Romania, in the sense of promoting and practicing career guidance for the early discovery of young people’s interests and the sustainable convergence of all resources towards them.

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Academic Policy Regarding Sustainability and Artificial Intelligence (AI)

Cited by 40 publications

References 24 publications

Role of Ethical Marketing in Driving Consumer Brand Relationships and Brand Loyalty: A Sustainable Marketing Approach

Role of Ethical Marketing in Driving Consumer Brand Relationships and Brand Loyalty: A Sustainable Marketing Approach

Utilities of Artificial Intelligence in Poverty Prediction: A Review

Sustainability of Youth Careers in Romania—Study on the Correlation of Students’ Personal Interests with the Selected University Field of Study

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