Search results

This chapter demonstrates a parallel between the presidential campaigns of Jair Bolsonaro (Brazil, 2018) and Donald Trump (United States, 2016) regarding their use of social media. Specifically, tweets from the former candidates on the social network sites were analyzed during a one-month timeframe before their respective presidential elections. Tweets were selected for analysis based on the fact that Twitter was the main platform used by both former presidential candidates. The analysis of the data reveals considerable similarities between the communication strategies of the two candidates. This research enlists McCombs and Shaw (1972) agenda setting theory based on their study of media during North American presidential campaigns in 1968 and Lippmann’s (2008) concept of public opinion. The methodology employed is based on Bardin (2011).

This study aims to investigate the role of negative media coverage of environmental, social and governance (ESG) issues in deterring tax avoidance. Inspired by media agenda-setting theory and legitimacy theory, this study hypothesises that an increase in ESG negative media coverage should cause a reputational drawback, leading companies to reduce tax avoidance to regain their legitimacy. Hence, this study examines a novel channel that links ESG and taxation.

This study uses panel regression analysis to examine the relationship between negative media coverage of ESG issues and tax avoidance among the largest European entities. This study considers different measures of tax avoidance and negative media coverage.

The results show that negative media coverage of ESG issues is negatively associated with tax avoidance, suggesting that media can act as an external monitor for corporate taxation.

The findings have implications for policymakers and regulators, which should consider tax transparency when dealing with ESG disclosure requirements. Tax disclosure should be integrated into ESG reporting.

The study has social implications related to the media, which act as watchdogs for firms’ irresponsible practices. According to this study’s findings, increased media pressure has the power to induce a better alignment between declared ESG policies and tax strategies.

This study contributes to the literature on the mechanisms that discourage tax avoidance and the literature on the relationship between ESG and taxation by shedding light on the role of media coverage.

The study investigates factors like media, tribal, religious and party politics' influence on Nigerias’ 2023 presidential election choice. It confirms dominant social media platforms and examines their influence on election polls, e-participation and political candidate choice. The main objectives of this study are to: investigate if tribal, religious and party politics affect the respondent’s choice of a presidential candidate, ascertain the respondent's most used social media platform for political engagement and determine how social media platforms influenced the election polls during the 2023 Nigerian presidential election.

A sample size of 384 registered voters was used to survey three states in Southeast Nigeria hinged on the technological acceptance model, the instrumentalist theory of ethnicity and the theory of reasoned action.

The study found that tribal politics did not influence political candidates during the 2023 Nigerian presidential election. However, religious and party politics influenced their choices as well as X (Twitter), found as the most used and most influential social media platform vital for enhancing participatory democracy and informing people at real-time.

The researchers experienced challenges such as ensuring that the respondents filled the questions appropriately to reduce the number of void questionnaires and a funding problem since they had yet to receive any grant to enhance the study.

The study commends improved Internet connectivity and accessibility among the citizens for increased political engagement on social media. It also recommends that the Nigerian government enforce the rule of law in politics to enable diverse tribes and religions to experience democratic e-participation and development without marginalisation or subjugation by incumbent power. The findings affirm that social media is apt in political communication during the 2023 presidential elections in Nigeria. The study is a contribution to knowledge, timely and original.

With 43.2 million coronavirus cases and 525,000 deaths in 2022, India ranked second worldwide, after the United States (84.6 million cases and 1 million deaths), according to the latest available June 2022 COVID-19 impact data.

Amid people’s growing mistrust in the government, India’s news media enhanced the nation’s distinguished designation as the world’s largest and most populous democracy. India’s news media inform, educate, empower, and entertain a surging population of 1.4 billion people, which is roughly one-sixth of the world’s people.

Drawing upon the media agendamelding theoretical framework, we conducted a case study research into interplay between two prominent democratic institutions, the media and the government, to analyze the role of the COVID-19 pandemic in redefining India’s networked society.

India’s COVID-19 pandemic aggravated internecine tensions between media and government relating to four key freedom issues: (1) world’s largest COVID-19 lockdown affecting 1.3 billion Indians from March 25, 2020 to August 2020 with extensions and five-phased re-openings, to restrict the spread of COVID-19; (2) Internet shutdowns; (3) media censorship during the 1975–1977 “Emergency”; and (4) unabated murders of journalists in India.

Although the COVID-19 pandemic caused deleterious problems debilitating the tensions between the media and the government, India’s journalists thrived by speaking truth to power. This study delineates key aspects of India’s media agendamelding that explicates how the people of India form their media agendas. India’s news audiences meld media messages from newspapers, television, and social media to form a picture of the issues, insights, and ideas that define their lives and times in the 21st century digital age.

This study investigates whether carbon media legitimacy is influenced by carbon performance and/or carbon disclosure using a direct measure of carbon media legitimacy in UK context.

To test this study's hypotheses, the authors employ Tobit regression analysis of 95 UK companies listed in FTSE350. The authors use balanced panel data (475 observations in total) to reduces the noise introduced by unit heterogeneity.

The authors find that while corporate carbon performance is not reflected in carbon media legitimacy, carbon media legitimacy is positively and significantly affected by voluntary carbon disclosure (irrespective of its quality). Thus, voluntary carbon disclosure is shown to be an effective tool in legitimising corporate activities.

The results show a certain degree of naivety on the part of the media in assessing corporate carbon behaviour, since it values carbon disclosure (irrespective of its quality) more than carbon performance. Such media behaviour may hinder future improvement in carbon performance of firms.

This study's results indicate that the existing UK carbon disclosure policy does not address the heart of climate change and global warming. Thus, tougher regulations should be considered by policy-makers in relation to voluntary carbon disclosure in the UK.

To the best of the authors' knowledge, this is the first study to examine whether carbon media legitimacy is associated with both carbon performance and carbon disclosure using a direct measure of carbon media legitimacy, and to use the UK context when addressing this association. It also examines the effectiveness of quality of carbon disclosure as legitimation tool.

The purpose of this commentary is to complete the synthesis of the United Nations 17 Sustainable Development Goals (SDGs) into Seven Commentaries on Service Research Themes developed by ServCollab and the Journal of Services Marketing. As an approach to achieving SDG #17, ServCollab’s collaborative logic and design perspective for collaboration services for sustainable development partnerships are presented.

Collaboration is ServCollab’s Service Research Theme #7, which reframes the UN SDG meta goal #17 of Partnerships. In prior ServCollab research, four possible human interactions were identified: conflict, competition, cooperation and collaboration. Only the shared purpose of collaboration enables elevating the human experience.

The authors found no published service research that studied SDG #17, which means there are huge opportunities for service research on the role of collaboration in service systems. The alignment between the UN SDGs and ServCollab’s goals is explored. A research agenda for service research and SDG goals was proposed for collaborative communications, collaborative technologies and collaborative projects.

Practical ideas are offered for serving humanity through collaboration. Collaborations are the only practical solutions to humanity’s myriad sustainable development problems.

When the United Nations developed its first 16 SDGs, they knew that accomplishing these goals required complex collaborations. That is why SDG #17 is Partnerships. ServCollab’s serving humanity logic applies collaboration to all social settings (large or small) where working together can sustain and regenerate the service ecosystem of Planet Earth.

This commentary describes a unique approach to building collaborative capacity for conducting service research projects for sustaining and regenerating the service ecosystem of Planet Earth.

The study aims to identify and discuss influential aspects of corporate environmental disclosure (CED) literature, including key streams, themes, authors, keywords, journals, affiliations and countries. This review also constructs agendas for future CED research.

Using a bibliometric review approach, the authors reviewed 560 articles on CED from 215 journals published between 1982 and 2020.

The authors' insights are three-fold. First, the authors identified three core streams of CED research: “legitimization of environmental hazards via environmental disclosures,” “the role of environmental accounting in achieving corporate environmental sustainability” and “integrating environmental social and governance (ESG) reporting into the global reporting initiatives (GRI) guidelines”. Second, the authors also deployed a thematic map that classifies CED research into four themes: niche themes (e.g. institutional theory and environmental management system), motor themes (e.g. stakeholder engagement), emerging/declining themes (e.g. legitimacy theory) and basic/transversal themes (e.g. voluntary CED, environmental reporting and corporate social responsibility). Third, the authors highlighted important CED authors, keywords, journals, articles, affiliations and countries.

This study assists researchers, journal editors and consultants in the corporate sector to comprehensively understand various dimensions of CED research and practices and suggests potential emerging research areas. Although this paper appears to have been thoroughly conducted, using authors' keywords to identify themes was a key limitation. Thus, the authors call upon using a more comprehensive data mining technique that uses keywords in abstracts, titles and the whole body of papers and then identifies inclusive trends in CED literature.

The authors contribute to the extant accounting literature by investigating the organizational-level CED, both mandatory and voluntary, using a systematic and bibliometric literature review model to summarize the key research streams, themes, authors, journals, affiliations and countries. By doing so, the authors construct a future research agenda for CED literature.

Previous research has explored the link between sustainability disclosure and reputation but produced contradictory results. This study aims to clarify the sustainability disclosure–reputation relationship through a quantitative analysis of the correlations between these variables reported in empirical research papers. The second objective was to determine how various moderators affect the sustainability disclosure–reputation link.

The meta-analysis was based on a systematic review of the literature covering empirical research on the corporate sustainability disclosure and reputation relationship. A total of 92 articles were meta-analyzed to compile their findings on four extrinsic moderators: company size, ownership, stock listing status and activity sector.

The findings confirm that a significant positive correlation exists between corporate sustainability disclosure and reputation. The moderator analysis also revealed that companies’ different characteristics can explain researchers’ divergent results.

The results have considerable practical relevance for organizational management. First, they can motivate managers to improve and disclose their company’s social and environmental impacts to strengthen their reputation, which in turn will help accelerate the achievement of the Sustainable Development Goals. Second, the findings can ensure organizations develop disclosure and reputation management strategies adapted for each firm’s size, ownership, stock listing status and activity sector.

The results have considerable practical relevance for organizational management. First, they can motivate managers to improve and disclose their company’s social and environmental impacts to strengthen their reputation, which in turn will help accelerate the achievement of the Sustainable Development Goals. Second, the findings can ensure organizations develop disclosure and reputation management strategies adapted for each firm’s size, ownership, stock listing status and activity sector.

To the best of the authors’ knowledge, this meta-analysis is the first to clarify the link between disclosure and reputation, which makes a unique contribution to the field of social and environmental accounting. A larger sample of primary research was collected, and key extrinsic moderators were examined to explain prior studies’ contradictory findings.

This study examines the effect of social media marketing on voting intention applying a combination of fuzzy logic methodology and a multidimensional panel data model.

The study adopts a multidimensional panel data method that includes several fixed effects. The dependent variable is a multifaceted construct that measures the participants’ intention to vote. The independent variables are electronic word of mouth (eWOM), customisation (CUS), entertainment (ENT), interaction (INT), trendiness (TRD), candidate’s perceived image (CPI), religious beliefs (RB), gender and age. The grouping variables that signify fixed effects are employment status, level of education, mostly used social media and religion. First, the significance of said fixed effects was tested through an ANOVA process. Then, the main model was estimated, including the significant grouping variables as fixed effects.

Employment status and level of education were significant fixed effects. Also, eWOM, ENT, INT, CPI, RB and gender significantly affected participants’ voting intention.

Being based on a questionnaire that asked participants about how they perceive different aspects of social media, the present study is limited to their perceptions. Therefore, further studies covering the voters’ behaviour in action could be efficient complements to the present study.

The findings could guide the political parties into prioritizing the aspects of social media in forming an effective campaign resulting in being elected.

The findings have the potential to help the public in making better informed decisions when voting. Furthermore, the results of this study indicate applications for social media which are beyond leisure time fillers.

Fuzzy logic and multidimensional panel data estimates are this study’s novelty and originality. Structural equation modelling and crisp linguistic values have been used in previous studies on social media’s effect on voting intent. The former refines the data gathered from a questionnaire, and the latter considers the possibility of including different grouping factors to achieve a more efficient and less biased estimation.