Computational Science and Its Applications – ICCSA 2017

Gervasi, Osvaldo; Murgante, Beniamino; Misra, Sanjay; Borruso, Giuseppe; Torre, Carmelo Maria; Rocha, Ana Maria A. C.; Taniar, David; Apduhan, Bernady O.; Stankova, Elena N.; Cuzzocrea, Alfredo

doi:10.1007/978-3-319-62392-4

Cited by 3 publications

(1 citation statement)

References 3 publications

(3 reference statements)

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“…The cause of excessive use of packaging is also the constant expansion of international trade, for which packaging is an essential element. (Tallentire  Steubing, 2020;Ferreira, Figueiredo  Oliveira, 2017). All kinds of packaging are problematic if we produce too much.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of environmental responsibility on changing consumer behaviour – sustainable market in Slovakia

Holotová¹,

Nagyová²,

Holota³

2020

Economics &Amp; Sociology

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Our planet is faced with numerous social and ecological challenges that we have to resolve as soon as possible through a combination of innovative ideas implemented under local conditions. One of the biggest challenges for many startups, retail chains and consumers themselves is packaging waste reduction that involves activities mainly aimed at waste prevention. The targeted impact of sustainability information on consumers' purchase intentions plays a key role in shaping their future decision-making, and Slovak market is no exception in this regard. A relatively new concept of "zero waste" in relation to packaging waste prevention directly during shopping has been given the green light thanks to behavioural changes among many Slovak eco-conscious consumers. The main aim of presented paper is to determine the level of environmental awareness among Slovak consumers basing on the results of marketing research on their shopping habits. The present paper also focuses on the current situation with zero-waste stores as a newly developing concept for Slovak market. In order to meet the objectives of this paper, own marketing research has been conducted (covering 783 respondents from Slovak Republic). For statistical processing of the results, we have used Levene´s test, Bartlett´s test, Kolmogorov-Smirnov test and Chi-Square test of independence. The research findings confirm that consumers' experiences, awareness and sustainable shopping habits are at a good level but there are significant differences in attitudes across generations, genders and places of living.

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Section: Literature Reviewmentioning

confidence: 99%

The impact of environmental responsibility on changing consumer behaviour – sustainable market in Slovakia

Holotová¹,

Nagyová²,

Holota³

2020

Economics &Amp; Sociology

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Water Distribution Network Perspective in RAFAEL Project, A System for Critical Infrastructure Risk Analysis and Forecast

Longobardi

Fattoruso

Guarnieri

et al. 2021

Computational Science and Its Applications – ICCSA 2021

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Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence

Adikari¹,

Nawaratne²,

Silva³

et al. 2021

J Med Internet Res

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Background:The COVID-19 pandemic has disrupted human societies around the world. This public health emergency was followed by a significant loss of human life; the ensuing social restrictions led to loss of employment, lack of interactions, and burgeoning psychological distress. As physical distancing regulations were introduced to manage outbreaks, individuals, groups, and communities engaged extensively on social media to express their thoughts and emotions. This internet-mediated communication of self-reported information encapsulates the emotional health and mental well-being of all individuals impacted by the pandemic.Objective: This research aims to investigate the human emotions related to the COVID-19 pandemic expressed on social media over time, using an artificial intelligence (AI) framework.Methods: Our study explores emotion classifications, intensities, transitions, and profiles, as well as alignment to key themes and topics, across the four stages of the pandemic: declaration of a global health crisis (ie, prepandemic), the first lockdown, easing of restrictions, and the second lockdown. This study employs an AI framework comprised of natural language processing, word embeddings, Markov models, and the growing self-organizing map algorithm, which are collectively used to investigate social media conversations. The investigation was carried out using 73,000 public Twitter conversations posted by users in Australia from January to September 2020. Results:The outcomes of this study enabled us to analyze and visualize different emotions and related concerns that were expressed and reflected on social media during the COVID-19 pandemic, which could be used to gain insights into citizens' mental health. First, the topic analysis showed the diverse as well as common concerns people had expressed during the four stages of the pandemic. It was noted that personal-level concerns expressed on social media had escalated to broader concerns over time. Second, the emotion intensity and emotion state transitions showed that fear and sadness emotions were more prominently expressed at first; however, emotions transitioned into anger and disgust over time. Negative emotions, except for sadness, were significantly higher (P<.05) in the second lockdown, showing increased frustration. Temporal emotion analysis was conducted by modeling the emotion state changes across the four stages of the pandemic, which demonstrated how different emotions emerged and shifted over time. Third, the concerns expressed by social media users were categorized into profiles, where differences could be seen between the first and second lockdown profiles.Conclusions: This study showed that the diverse emotions and concerns that were expressed and recorded on social media during the COVID-19 pandemic reflected the mental health of the general public. While this study established the use of social media to discover informed insights during a time when physical communication was impossible, the outcomes could also contribute toward postpandemic...

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Computational Science and Its Applications – ICCSA 2017

Cited by 3 publications

References 3 publications

The impact of environmental responsibility on changing consumer behaviour – sustainable market in Slovakia

The impact of environmental responsibility on changing consumer behaviour – sustainable market in Slovakia

Water Distribution Network Perspective in RAFAEL Project, A System for Critical Infrastructure Risk Analysis and Forecast

Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence

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