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This study aims to conceptualize, rethink and systematize methods used for measurement and evaluation (M&E) corporate communication.

The reflection is based on 462 key English-language books and papers devoted to M&E in the fields of corporate communication and public relations from the 1970th to 2023. Keywords in the titles and abstracts found the necessary materials. A critical analysis of the central concepts, models and methods described in the literature was conducted. As a result, a new model that unifies and structures the M&E toolkit is proposed for discussion.

Despite the significant contribution to developing a wide range of M&E models, they are still not perfect and universal. In addition, this system of approaches is continuously self-evolving and changing under the influence of digital innovations, so it requires steady rethinking and updating. On the other hand, most previous studies focused on communication management processes, losing focus on communication aspects. This led to the need for an alternative view based on proven theories to fill this gap. The proposed model combines quantitative and qualitative M&E methods for the five main components of corporate communication (communicator, audience, content, channels and result), covering a wide range of tools, from statistical and sociological research to big data analysis and neuro research.

This work contributes to developing the M&E theory of corporate communication, systematizing existing methods and opening new research perspectives. From a practical point of view, companies can use the presented approach for a more accurate and objective internal evaluation of the main components of corporate communication.

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.

This case is the second of a three-part series that follows the managerial, strategic, and communications decisions of the Swachh Bharat Mission (SBM) or Clean India Mission, the flagship programme of the Government of India to eliminate the practice of open defecation (i.e., not using a toilet) from 2014 to 2019. As of 2014, 550 million people in India practiced open defecation. This problem posed a massive public health hazard and economic drag for the country as well as a threat to global health. Written from an insider's perspective, the cases centre on the decisions made by a new Secretary of India's Ministry of Drinking Water and Sanitation, who was hired to manage SBM, and the team he assembled. Case B discusses the start-up challenges for SBM, including implementation in India's complex federal system, workplace culture, and the deep-rooted behaviour of open defecation in rural India and the managerial and communication strategies formulated to address them. The case concludes by framing the difficulties with slow-moving states and monitoring rigour that the leadership SBM, with a new team, strategic focus, and early momentum, faced as the mission entered its final two years.

Today, collaborative fashion approaches are a popular method of reimaging and positioning in contested markets. Fashion collaborations see brands, designers, artists, and companies come together, offering consumers new, alternative products. While shopping continues to be a popular leisure and touristic activity, it is becoming comparable across cities. At present, scholars and practitioners have paid scant attention to collaborative fashion consumption (Botsman & Rogers, 2010). This chapter considers how destinations should become involved with fashion collaborations and drop culture from the offset, establishing specific events for tourists to experience. Ultimately, changing the culture and behavior of shopping tourists to one of event experience and not solely product ownership.

In the current post-human society, artificial intelligence (AI) and algorithms are rapidly being deployed in newsrooms around the world to enhance processes of news idea conception, newsgathering, writing, packaging and dissemination. Although AI adaptation has been ongoing especially in Western Newsrooms over the last decade, this process is only budding in sub-Saharan newsroom contexts. This study explores perceptions, use, prospects and challenges in the adaptation of AI and algorithms in newsrooms. This qualitative survey draws insights from 33 respondents from newspapers, radio stations, online media and community media in Uganda, Tanzania, Rwanda and Ethiopia. The study found varied levels of AI adoption in several newsrooms with some newsrooms not yet using AI while others were fully experimenting with a variety of tools, functionalities – even producing their own AI tools and also in change employment patterns to accommodate the skills needed within this new field. In some of the ‘inactive AI newsrooms’ individual journalists took the onus on themselves to learn and use the disruptive technologies and while the general attitudes towards AI were positive among journalists, the attitudes among management was generally considered poor. The study concludes for the benefits to be maximally leveraged, several of the bottlenecks in application must be addressed. These include the integration of ‘humans-in the loop’, journalistic principles, decolonial and local contextual perspectives in AI development and use. Such perspectives and synergies would need to be drawn from media ecosystems – including journalism education, research, policy, industry and developers.

During the coronavirus disease 2019 (COVID-19) pandemic, ubiquitous social media has become a primary channel for information dissemination, social interactions and recreational activities. However, it remains unclear how social media usage influences nonpharmaceutical preventive behavior of individuals in response to the pandemic. This paper aims to explore the impacts of social media on COVID-19 preventive behaviors based on the theoretical lens of empowerment.

In this paper, survey data has been collected from 739 social media users in China to conduct structural equation modeling (SEM) analysis.

The results indicate that social media empowers individuals in terms of knowledge seeking, knowledge sharing, socializing and entertainment to promote preventive behaviors at the individual level by increasing each person's perception of collective efficacy and social cohesion. Meanwhile, social cohesion negatively impacts the relationship between collective efficacy and individual preventive behavior.

This study provides insights regarding the role of social media in crisis response and examines the role of collective beliefs in the influencing mechanism of social media. The results presented herein can be used to guide government agencies seeking to control the COVID-19 pandemic.

Brief loving-kindness meditation (LKM) is introduced here as a valid social marketing intervention. LKM positively influences prosocial cognitions and affects. However, it remains unclear whether brief meditation interventions can influence prosocial behavior. This study aims to provide evidence of the effects of short LKM on prosocial behavior.

This study reports the results of three experiments examining the effects of brief LKM on donations to unknown others. The results are then integrated with the results of seven other studies testing the effects of brief LKM on prosocial behavior using a meta-analysis (n = 683).

LKM increased love more than the control group (focused breathing) in the three experiments; however, its effects on donations were mixed. The meta-analysis shows that LKM has a small-to-medium significant effect compared to active control groups (d = 0.303); moreover, age and type of prosocial measure used moderate the effects.

Results suggest that LKM can nurture prosocial emotions such as love and lead young individuals to donate. However, these emotions may not be sufficient to lead adult meditators to share their resources with unknown others. This study presents the first meta-analysis of brief LKM and provides insights into the use of meditation in social marketing programs.