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Social media has revolutionized marketing communication (MC). Rugby is South Africa’s most professionalized sport, leading the industry in its business management structure as well as its high-performance achievements. However, below the professional level, local rugby clubs face a large disparity compared to their professional counterparts, often relying on volunteers or part-time employees to manage the organizations. Therefore, the purpose of this study is to investigate how non-professional rugby clubs use social media as a MC tool.

The study was exploratory, and a cross-sectional sample of twelve organizations was selected and employed a multiple case study approach. Club managers responsible for MC or social media participated in semi-structured interviews. The qualitative data analysis software, ATLAS.ti, facilitated the researchers’ use of an inductive approach to develop codes and themes for further analysis.

The findings revealed a high level of adoption of social media by the multiple cases (i.e. rugby sports club respondents), with only slight variations in the usage of specific social media applications (viz., Facebook, Instagram, Twitter, and WhatsApp). The sports clubs perceived that employing social media added substantial value to their MC. There were six emergent themes related to the organization’s perceived benefits from adopting social media MC, namely: brand awareness, relationship-building, player recruitment, attracting sponsors, storytelling, and information sharing.

The study makes a novel contribution in terms of how rugby clubs use social media as an MC tool. The paper advances scant knowledge and awareness of the relationship between South Africa’s sports marketing and social media. The conclusions will aid non-professional sports organizations in enhancing the effectiveness of their social media marketing by ensuring that their objectives and target audiences are well-defined.

Environmental communication has been a profession and a subject of study for decades. Communication currently revolves around the anthropogenic ecological catastrophe, which makes the field’s early self-description as a crisis discipline even more pertinent. How communication is used and perceived significantly impacts how human-caused climate disasters and other environmental and social problems develop and how solutions are offered. The phenomenon of technology has shown significant impacts on how people refer to environmental communication. While bibliometric analysis (BA) helps understand the trends, ChatGPT can generate information related to environmental communication. How are they different from each other? What are the limitations? This study aims to identify the trends and limitations of BA and ChatGPT that are associated with environmental communication.

A qualitative approach is used, which refers to BA using the Biblioshiny software (n = 867) and content analysis on ChatGPT 3.5. It uses a systematic technique for keyword search, namely, environmental and communication, from 2000 to 2022.

There has been a decrease in the scientific production of studies starting in 2021 and 2022, which is believed to be due to the COVID-19 pandemic. ChatGPT provides valuable information but is rather complimentary to BA. ChatGPT is unable to provide statistical information related to environmental communication among Scopus-indexed publications.

This study focuses on the literature published in Scopus from 2000 to 2022. The keyword is limited to “environmental” and “communication.” Besides, the choice of keywords made it specific to the studies involved in the BA, which may not include some other studies if the keywords are not listed.

The originality of the research focuses on the field of environmental communication, its evolution within previous literature and the comparison between BA and the use of ChatGPT for understanding trends and limitations within this field. The text touches upon various aspects, such as the historical context of environmental communication, the impact of technology, the trends in scientific production among Scopus journal papers and the limitations of using ChatGPT compared to BA.

This study aims to explore the linguistic and syntactic textual features of Central Bank of Nepal (Nepal Rastra Bank [NRB])’s monetary policy. Considering the recent literature and methodological advancement in computational linguistic analysis, this study intends to explore the features of published monetary policy reports.

Text mining technique has been used on the monetary policy published by Central Bank of Nepal for the period between 2002/03 and 2021/22 to describe the textual features such as length, tone, degree of forward looking, use of numerical contents and readability. The raw text was tokenized using Python’s Natural Language Toolkit. Considering the LM dictionary, the frequency of tokens matching with dictionary is computed and divided by total number of words to normalize the obtained value.

This study found that NRB publishes lengthy monetary policies during economic contractions and vice versa. The tone of the policies are pessimistic most of the time. NRB’s policies are not sufficiently forward looking and complex to be comprehended by layman. Ergo, NRB shall form a team of communication experts to ensure publication of optimistic policies with appropriate linguistic features. Furthermore, publishing the minutes of monetary policy meetings will help enhance effective communication through transparency and proper functioning of expectations channel.

To the best of the authors’ knowledge, no similar study has been conducted to assess the textual features of monetary policy in Nepal. And this study will be helpful to gauge the status of central bank communication in the context of emerging and least developed countries.

This study, informed by the Situational Crisis Communication Theory, aims to suggest two primary response strategies that can be used for effective internal crisis communication during a pandemic situation, such as COVID-19. The effect of base response strategies on employees' perceptions of communication quality, leadership and relational outcomes were investigated.

An online survey of full-time employees in the United States was conducted.

The findings showed that for an instructing information strategy, not all types of information were equally associated with positive employee responses in terms of perceived quality of internal communication related to the COVID-19 pandemic and transformational leadership. Specific information that employees need to know in order to safely perform daily tasks, such as organizational protocols and thorough preparation, seem to be the most needed and desired information. Adjusting information was positively associated with employee perceptions of internal communication quality and perceptions of CEO leadership. Employees' perceived quality of internal communication affected by the base crisis response strategies were positively correlated with perceptions of transformational leadership and relational outcomes (i.e. employee trust in the organization, employee perceptions of the organization's commitment to relationships with employees, employee support for organizational decision-making related to COVID-19).

This study presents important theoretical and practical insights through an interdisciplinary approach that applies the theoretical framework and relationship-oriented outcomes of public relations to public health crisis situations.

Fake news stories have become a central element of crises that corporate public relations practitioners have confronted. Whether such stories are rumors, outright lies or deliberate attempts to discredit corporations, they have the same impact and require specific strategies for public relations practitioners to effectively respond. The purpose of this study is to uncover strategies to manage crises that arise from fake news and if and how these strategies differ for other corporate crises.

In this multi-method study of 21 in-depth interviews and a 8-person focus group with senior-level corporate public relations practitioners, authors explored decision-making strategies for responding to fake news crises. Transcripts of interviews and the focus group were thematically analyzed.

Results reveal insights regarding how public relations practitioners determine if and when to respond to fake news crises in corporations; what response strategies public relations practitioners have the autonomy to employ for fake news crises in corporations, and how public relations practitioners control media narratives during fake news crises in corporations.

The findings guide public relations practitioners to craft an autonomous decision-making process and effective online listening strategies—establishing a watchful waiting approach—and determine if the fake news issue is a passing moment or movement swirling into a crisis.

Few studies have examined the perspectives of crisis communication experts about minimizing and managing fake news crises. The study identifies opportunities for future research focused on crises originating from fake news and disinformation.

This paper aims to extend the literature on social proof by looking at the effectiveness of social proof on behaviour change for environmental benefit.

The research is based on real case studies currently intended to encourage behaviour change among residents of a large UK city. An initial study assesses the motivation displayed within each case study. A second study then examines whether recipients recognise their own motivation in each case study.

Results indicate that participants did not recognise their own motivation in the case studies that were expected to be most similar to them, suggesting that recipients do not recognise “social proof” according to motivation. However, a relationship is observed between recipients’ gender and the gender of the case studies.

Demographics appear to be a better basis for social proof than motivation. This paper recommends several future avenues for further exploration, including using case studies that represent a wider range of characteristics (such as demographics). The current range of stimulus materials is limited, as these are real materials currently being used in a large UK city.

The results indicate that portraying motivation is not a good basis for using the social proof principle. Instead, social marketers ought to focus on representing similarity to the intended audience based on other characteristics such as gender.

The research contributes a new direction in this field, using Self-determination Theory to match social proof examples to recipients.

We aimed to analyze the impact of the transition to the hybrid model of teamwork and team dynamics from the perspective of the five key challenges, i.e. communication, coordination, connection, creativity and culture.

To achieve the stated aim, we conducted a literature review and then an exploratory qualitative study. We split the research into phases: December 2021 to January 2022 and July to August 2022. In the first phase, we conducted computer-assisted online interviews (CAWIs) with all members of the remote team and an in-depth interview with the manager. After the transition from remote to hybrid work in February 2022, we returned to the team to conduct in-depth interviews with team leaders and the manager.

We identified key findings, i.e. managerial implications of differences across the 5 Cs (communication, coordination, connection, creativity and culture) noted in the functioning of the analyzed team as the team shifted from fully remote work to the hybrid work model.

We concluded that if people do not spend time together and are not impregnated with the unique culture and values of a given organization, they will not feel a connection to its distinctive ethos and may choose to leave. In the longer-term, the last challenge may be the biggest single opportunity for employees post-pandemic and concurrently the single biggest challenge that organizational leadership will need to address, given that sustainable market success depends on talent.

The results showed that team communication, teamwork coordination, social and emotional connections among team members, nurturing of creativity, as well as of the organizational culture were of high importance to the team in the hybrid work model. Thus, we confirmed the findings of other authors. The study contributes to our understanding of the impact of the hybrid work model on teamwork and team dynamics and provides some guidance on how organizations can mitigate these, in particular through the team manager.

This paper evaluates the factors influencing the utilization of the Internet of Things (IoT) for sustainable facilities management (SFM) practices in Saudi Arabia.

A mixed approach, combining a literature review, pilot-testing and questionnaire survey, was adopted to evaluate the factors. Twenty-seven factors were identified and grouped into four groups: technical, business and organizational, operational and security and privacy. The questionnaire was distributed to 30 facilities managers and 30 IoT specialists, totaling 60 practitioners, to determine the effect index of each factor. The practitioners' consensus on the ranking of the factors was then determined.

The study identifies the top-ranking factors as: “Difficulty in ensuring data security and protection,” “Difficulty in ensuring data privacy and confidentiality” and “Limited awareness and understanding of IoT benefits and capabilities.” These factors highlight the challenges to successful IoT implementation in the FM sector. The FM sector could benefit from utilizing IoT while maintaining the security, privacy and effectiveness of building operations by successfully addressing these concerns. A high level of consensus on the ranking of the factors was observed between facilities managers and IoT specialists. This was substantiated by a Spearman’s rank correlation coefficient of 0.79.

This study enriches the literature by combining practical insights from facilities managers with technical expertise from IoT specialists on the factors impacting IoT implementation in the Saudi Arabian FM sector. Beyond academic contributions, it provides practical insights for industry professionals, fostering a culture of knowledge-sharing and guiding future research in this field.

In recent years, the robotic process automation (RPA) technology, a software-based method to automate routine tasks in business processes, has gained significant interest and adoption. However, many implementation projects fail and current literature lacks a synthesis and comprehensive overview of factors that challenge the implementation of RPA, have an impact on success or failure of projects, or, play an enabling role in an RPA project. Hence, the purpose of this research is to identify key factors that should be considered by organizations when conducting an RPA project.

The paper adopts a qualitative methodology based on data collected in a systematic literature review (SLR) and interviews with 10 RPA experts. Using inductive coding, an integrated framework of key factors is developed.

The results suggest that the key factors for a successful RPA introduction can be divided into human, organizational and technical factors. Important aspects include for example project management techniques, capabilities and skills of employees, as well as data security considerations.

The paper contributes to knowledge by synthesizing previously dispersed knowledge into an integrated framework, as well as by complementing previous results with new qualitative, empirical data. Additionally, the RPA-specific factors are put into the perspective of persistent problems in information systems development.

The identification of network user relationship in Fancircle contributes to quantifying the violence index of user text, mining the internal correlation of network behaviors among users, which provides necessary data support for the construction of knowledge graph.

A correlation identification method based on sentiment analysis (CRDM-SA) is put forward by extracting user semantic information, as well as introducing violent sentiment membership. To be specific, the topic of the implementation of topology mapping in the community can be obtained based on self-built field of violent sentiment dictionary (VSD) by extracting user text information. Afterward, the violence index of the user text is calculated to quantify the fuzzy sentiment representation between the user and the topic. Finally, the multi-granularity violence association rules mining of user text is realized by constructing violence fuzzy concept lattice.

It is helpful to reveal the internal relationship of online violence under complex network environment. In that case, the sentiment dependence of users can be characterized from a granular perspective.

The membership degree of violent sentiment into user relationship recognition in Fancircle community is introduced, and a text sentiment association recognition method based on VSD is proposed. By calculating the value of violent sentiment in the user text, the annotation of violent sentiment in the topic dimension of the text is achieved, and the partial order relation between fuzzy concepts of violence under the effective confidence threshold is utilized to obtain the association relation.