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While morality is ever-present in elections, scholars have yet to merge political public relations and Moral Foundations Theory. It is crucial to assess the complex morality present not only in social deduction, but also in political strategic communication. The current work aims to analyze the issue agendas and their relationships in the 2020 presidential campaign and assesses their moral strategy.

This study used a computer-assisted content analysis (N = 7,888) with each moral intuition coded from the Moral Foundations Dictionary. Datapoints included campaign tweets, Facebook posts, debate performances, remarks, news releases and nomination acceptance speeches. Coverage included articles from including The New York Times, Washington Post, Wall Street Journal, CNN and Fox News to assess both liberal and conservative media.

Candidates' issue and moral agendas were correlated with each other and with the media's agenda. Comparatively, the Biden campaign has stronger correlations when it came to connecting with issues, stakeholders and moral intuitions in the media agenda than the Trump campaign. For issues, the Biden campaign prioritized COVID-19 and the economy, while the Trump campaign prioritized the economy and crime. The candidates also had similar moral strategies.

This study suggests effectively leveraging organizational communications in democracies can support the transfer of object salience, moral attributes and networks to media coverage, public discourse and opponent messaging. It can also help achieve organizational goals by managing public image, reputation and expectations.

This work expands the literature by taking a pluralist moral psychology approach in assessing the salience and correlation of five moral intuitions: harm/care, fairness/reciprocity, ingroup/loyalty, authority/respect and purity/sanctity. This study serves as a springboard for examining morality's impact on political public relations.

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 article revisits some theories and concepts of public administration, including those related to public value, transaction costs and social equity, to analyze the advantages and disadvantages of using artificial intelligence (AI) algorithms in public service delivery. The author seeks to mobilize theory to guide AI-era public management practitioners and researchers.

The author uses an existing task classification model to mobilize and juxtapose public management theories against artificial intelligence potential impacts in public service delivery. Theories of social equity and transaction costs as well as some concepts such as red tape, efficiency and economy are used to argue that the discipline of public administration provides a foundation to ensure algorithms are used in a way that improves service delivery.

After presenting literature on the challenges and promises of using AI in public service, the study shows that while the adoption of algorithms in public service has benefits, some serious challenges still exist when looked at under the lenses of theory. Additionally, the author mobilizes the public administration concepts of agenda setting and coproduction and finds that designing AI-enabled public services should be centered on citizens who are not mere customers. As an implication for public management practice, this study shows that bringing citizens to the forefront of designing and implementing AI-delivered services is key to reducing the reproduction of social biases.

As a fast-growing subject, artificial intelligence research in public management is yet to empirically test some of the theories that the study presented.

The paper vulgarizes some theories of public administration which practitioners can consider in the design and implementation of AI-enabled public services. Additionally, the study shows practitioners that bringing citizens to the forefront of designing and implementing AI-delivered services is key to reducing the reproduction of social biases.

The paper informs a broad audience who might not be familiar with public administration theories and how those theories can be taken into consideration when adopting AI systems in service delivery.

This research is original, as, to the best of the author’s knowledge, no prior work has combined these concepts in analyzing AI in the public sector.

This study aims to comprehend luxury brands' corporate social responsibility (CSR) strategies. In addition to facing a demand for new CSR strategies (consumer-centric CSR), changes in CSR discourse among luxury brands are observed. This study examines how CSR-related and luxury-related agendas relate in the news media, especially concerning the difference between traditional and new luxury brands.

A total of 117,171 fashion-related news articles were collected from January 2016 to December 2020. The word2vec method was used to determine the relationship between CSR and luxury agendas.

The results indicate that company-centric CSR is more prominent with traditional luxury brands, while consumer-centric CSR is more relevant for new luxury brands. In addition, specific CSR attributes and luxury-related attributes are associated with media discourse, which means that CSR and luxury are compatible.

Studies on CSR in the luxury industry are not extensive in the literature. This study addresses this gap through a unique framework that combines agenda-setting theory and existing CSR literature and applies them to the luxury industry. Specifically, this study captures the development of each construct (company-centric CSR to consumer-centric CSR and traditional luxury to new luxury) and identifies the specific relationships between them. This result provides a novel view of the luxury industry indicating that it has evolved to encompass CSR-related values. The empirical results also offer practical implications for luxury marketing.

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.

Drawing on institutional work (Lawrence and Suddaby, 2006; Lawrence et al., 2011), this study aims to explore how the concept of value for money (VFM) is understood in terms of the private finance initiative (PFI) implementation in Malaysia.

In-depth interviews with 25 actors involved in the implementation of PFI projects at two public universities in Malaysia were conducted. The interviews focused on the ways in which participants in the projects make sense of VFM in their ongoing involvement with the projects. In addition, a review of publicly available documents was conducted to understand the ways in which the notion of VFM is reflected in the policies and procedures of the government. Data from the interviews and documents were analysed using thematic analysis.

It is found that the advocacy work of macro-level actors, as well as micro-level actors, has promoted PFI implementation to achieve VFM. However, to the micro-level actors, VFM is just a concept that carries different interpretations, depending on how PFI fits their everyday functional discourses. In addition, direct negotiation and lack of commercial appreciation are disruptive not only to the achievement of VFM but also to the public sector reform agenda of the country.

The present study contributes to the discourses on the concept of VFM that is assumed to be inherent in PFI. The findings are based on micro- and macro-level actors and cover both advocacy and disruption of VFM achievement.

Corporate social responsibility (CSR) communication covered by the news media is considered as more credible and effective in shaping public perceptions toward corporations than CSR shared by corporations themselves. This is particularly true when CSR is about corporations with social stigma inherent in business practices. This study examines the CSR publicity of stigmatized industries from the journalism lens.

A content analysis was conducted with CSR stories from 2019 to 2020 by USA newspapers (n = 348).

Results of this study showed that the overall volume of CSR from stigmatized industries has decreased, with fewer responses to the recent pandemic. Further, the media brought promotional CSR activities and the business motives behind the activities into focus. Opposing patterns were found for CSR of non-stigmatized industries presented with philanthropic activities based on corporations' social motives to help communities. Similarly, economic and legal responsibilities reflected in the CSR pyramid were more prominently reported for stigmatized industries, and ethical and discretionary responsibilities appeared more frequently for non-stigmatized industries.

Integrating business and media literature, this study enriches scholarly discussions on media processes and effects for CSR communication. This study also provides practical implications for stigmatized industries by highlighting more authentic and careful approaches for CSR communication to earn positive publicity.

This study provides social implications by highlighting the importance of CSR communications through the lens of news media when corporations are socially stigmatized.

Stigmatized industries are known to be active in CSR communication to nullify social stigma surrounding themselves. The authors' findings provide empirical evidence suggesting that not all publicity benefits CSR communication for stigmatized corporations.

Public sector institutional entrepreneurship efforts may contribute to addressing social challenges by creating an enabling regulatory environment that promotes social enterprise formation and fosters complementarity between the public sector and social enterprises. The outcomes of such public sector institutional entrepreneurship are explored in this study. To assess the outcomes of such public sector initiatives in South Korea, the perspectives of executives (n = 40) of government-certified social enterprises are assessed.

Several research methodologies were combined, including purposive sampling with an 11-point Likert scale, hierarchical clustering and principal component analysis. The literature on government–nonprofit relations as well as public sector institutional entrepreneurship was leveraged.

This research results indicate that the enabling regulatory environment with entrenched funding and incubation mechanisms produces mixed-to-positive outcomes if framed with reference to public sector–social enterprise complementarity. The authors identified three perspective-based ideal types that have differential views of isomorphic regulatory pressures, the efficacy of incubation and scaling programs, participation in policymaking and other aspects of public sector patronage.

This study contributes to relating the literature on public sector institutional entrepreneurship and government–third sector relations by empirically assessing how social enterprises attracted by government demand-side signaling to become certified as social enterprises encounter and perceive an ostensibly enabling regulatory ecosystem, with its derivative policies and mechanisms, crafted by the public sector.

This paper examines the role of senior personnel within Active Partnerships as the personnel seek to strategically manage UK policy developments. This paper explores how Active Partnerships engage with the policy process within an environment characterized by systemic structural changes, mounting fiscal challenges, political uncertainty and a succession of public health concerns.

Using the Multiple-Streams Framework (MSF), a case study approach was adopted, focusing on the perspectives of senior personnel. Semi-structured interviews with individuals involved in the management and operation of five Active Partnerships across the South of England and one national stakeholder that works closely with Active Partnerships were conducted. Data were collected during the period following Andy Reed's review of the operation of Active Partnerships. The interviews were complemented by documentary analysis.

Findings illustrate that while senior practitioners within Active Partnerships often behave in line with Lipsky's notion of street-level bureaucrats, by maximizing collective leverage, advocating priorities and providing a voice for local partners, the senior practitioners adopt behaviors more akin to policy entrepreneurs. In this sense, they seek to influence the policy process at critical junctures in order to promote preferred outcomes and protect sectoral interests.

This study has explored the relationship between strategic management and the policy process in the context of the rapidly changing policy domain that frames the work of regional sports organizations known as Active Partnerships. The conceptual frame of the investigation is the concept of “policy entrepreneurship”, which seeks to articulate how individuals and collectives engage in the policy process, in order to secure outcomes conducive to their objectives. This, in turn, provides a sense of context for the contemporary challenges associated with the management of sport and physical activity (PA).

The purpose of this paper is three-fold. Firstly, through selected case studies, to provide an overview of how non-traditional data from digital public services were used as a source of knowledge for policymaking. Secondly, to argue for a design for policy approach to support the successful integration of non-traditional data into policymaking practice, thus supporting data-driven innovation for policymaking. Thirdly, to encourage a vision of the relation between data-driven innovation and public policy that considers policymaking outside the authoritative instrumental logic perspective.

A qualitative small-N case study analysis based on desk research data was developed to provide an overview of how data-centric public services could become a source of knowledge for policymaking. The analysis was based on an original theoretical-conceptual framework that merges the policy cycle model and the policy capacity framework.

This paper identifies three potential areas of contribution of a design for policy approach in a scenario of data-driven innovation for policymaking practice: the development of sensemaking and prefiguring activities to shape a shared rationale behind intra-/inter-organisational data sharing and data collaboratives; the realisation of collaborative experimentations for enhancing the systemic policy analytical capacity of a governing body, e.g. by integrating non-traditional data into new and trusted indicators for policy evaluation; and service design as approach for data-centric public services that connects policy decisions to the socio-technical context in which data are collected.

The small-N sample (four cases) selected is not representative of a broader population but isolates exemplary initiatives. Moreover, the analysis was based on secondary sources, limiting the assessment quality of the real use of non-traditional data for policymaking. This level of empirical understanding is considered sufficient for an explorative analysis that supports the original perspective proposed here. Future research will need to collect primary data about the potential and dynamics of how data from data-centric public services can inform policymaking and substantiate the proposed areas of a design for policy contribution with practical experimentations and cases.

This paper proposes a convergence, yet largely underexplored, between the two emerging perspectives on innovation in policymaking: data for policy and design for policy. This convergence helps to address the designing of data-driven innovations for policymaking, while considering pragmatic indications of socially acceptable practices in this space for practitioners.