2024
Authors
Lyulyov, O; Pimonenko, T; Saura, JR; Barbosa, B;
Publication
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
Abstract
Sustainable development policies trigger a shift in the global development paradigm by aligning economic, social, and ecological goals. Concurrently, the rapid surge in digitalization is transforming business processes and communications across all sectors and levels. As a result, the integration of e-business and e-governance becomes a critical component in achieving Sustainable Development Goals (SDGs). In this context, the aim of this article is to analyze the effects of digitalization, specifically e-governance and e-business, on the attainment of SDGs in European Union (EU) countries. The method used is a panel of corrected standard errors and feasible generalized least squares models to identify the impact and significance of e-governance and e-business on SDG achievement. The e-governance indicators considered by this study were found to significantly impact SDG achievement. Moreover, e-business indicators were also found to positively impact the attainment of SDGs, with some exceptions. The findings suggest that EU countries should continue to intensify digitalization across all sectors as it enhances the transparency accountability of all business processes and communications and increases trust in government services, which are the core drivers of achieving SDGs.
2023
Authors
O'Loughlin D.; McEachern M.G.; Szmigin I.; Karantinou K.; Barbosa B.; Lamprinakos G.; Fernández-Moya M.E.;
Publication
Research Handbook on Ethical Consumption
Abstract
2023
Authors
Ferreira M.; Barbosa B.;
Publication
Trends, Applications, and Challenges of Chatbot Technology
Abstract
The main objectives of this chapter are to provide an overview of chatbot personality dimensions and to analyze the expected impacts on user behavior. To accomplish these objectives, the chapter provides a detailed review of the main contributions in the literature regarding this topic. It highlights the chatbot personality characteristics that are expected to foster user satisfaction, trust, loyalty, and engagement. This information is useful for both practitioners and researchers, particularly related to customer service, as it provides clear guidance on what characteristics to incorporate in chatbots and on what factors need to be further studied in the future.
2022
Authors
Barbosa B.; Simões D.; Leal F.;
Publication
Innovar
Abstract
Storytelling is gaining popularity due to its expected ability to earn consumers’ attention and generate positive outcomes such as brand awareness, trust, and customer engagement. However, the effects of digital storytelling campaigns on brands are still insufficiently researched, especially among certain segments such as young adults. Therefore, the main aim of this article is to explore young adults’ views on digital storytelling campaigns, focusing on the determinants of interaction, the impacts on consumer behavior, and the outcomes for brands. By adopting a qual-itative approach, eight focus groups were conducted. Participants were 40 Portuguese consumers and social network site users, aged 19 to 37. The study demonstrates that being posted by a friend makes the content more attractive to one’s attention and increase its chances of further interaction (i.e., liking, sharing and commenting). The study also demonstrates that despite the expected positive emotional impacts of digital storytelling campaigns highlighted in the literature, they can also generate mistrust whenever it is not clear for the consumer how the topic chosen for the story relates to the brand and its products. Moreover, these campaigns may also fail to improve brand’s image if the brand is not conveniently featured in the campaign.
2019
Authors
Barreto S.; Barbosa R.J.V.; Barbosa B.;
Publication
Impacts of Online Advertising on Business Performance
Abstract
Google Ads is a powerful tool for companies wishing to gain visibility on Google searches, as it offers impression privileges for advertisers, by featuring the ad above the organic results listing. This chapter contributes to the optimization of Google Ads campaigns. It includes an empirical study with a sample of marketing professionals exploring their views on the challenges of Google Ads as a digital marketing tool. According to the participants in this study, Google Ads campaign profitability depends, largely, on the ability to choose a keyword pool that achieves the company's goals. Moreover, the complexity of these pay-per-click decisions, the costs involved, and its business implications demand more reasoned, quantified, and, if possible, optimized solutions. The chapter develops linear programming optimization models based on impressions, clicks, conversions, and billing. The models are tested on a real example using Excel optimization add-ins.
2018
Authors
Filipe, S; Santos, CA; Barbosa, B;
Publication
CBU INTERNATIONAL CONFERENCE PROCEEDINGS 2018: INNOVATIONS IN SCIENCE AND EDUCATION
Abstract
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