Search results

We show political divisions in perceptions of police officers even before the divisive political and social events of 2016. We do so using respondents' interpretations of surprising and ambiguous headlines involving police officers (e.g., assumptions about what happened or who was involved).

We use affect control theory's ABO event structure and derivations of this structure to construct a set of headlines that describe ostensibly good people (A) doing bad things (B) to other good people (O) or are ambiguous on one or more of these components. We present 517 MTurk respondents with a set of seven headlines and collect quantitative and qualitative data on their reactions to, and interpretations of, these headline events.

Police headlines generate interest among readers. When interpreting events, respondents are less likely to modify or redefine police officers compared to other actors. However, assumptions related to ambiguous events involving police differ by political orientation. Liberals view police more negatively than conservatives, in part because they imagine them doing worse things to slightly better people. Qualitative analyses support and shed light on the mechanisms underlying this and other partisan effects.

The research was designed to examine interest in headline structure, not specific actors. Thus, the patterns unique to police and political differences were not an original focus. We believe these inductive results are informative, but a study expressly designed to test hypotheses regarding perceptions of events with police officers is recommended for future work.

Understanding the political divide in perceptions of police and the potential of media coverage for exacerbating these effects is essential and related to ACTs growing interest in meaning divergence.

In the present discourse of university politics, collegiality has come to be viewed as a slow force – seemingly inefficient and conservative compared to popular management models. Concerns have thus been raised regarding the future prospects of such a form of governance in a society marked by haste and acceleration. One way to bring perspectives on this contentious issue is to perceive it in the light of the long history of the university. In this article, I derive insights about the shifting state of collegial governance through a survey of an intense period of reforms in Sweden c. 1850–1920 when higher education was allegedly engaged in a process of modernization and professionalization. Drawing on recent work in historical theory and science and technology studies (STS), I revisit contests and debates on collegiality in connection to a number of governmental commissions. Focusing on the co-existence – and collisions – of multiple temporalities reveals that overcoming potential problems associated with heterogeneous rhythms required an active work of synchronization by universities in order to make them appear timely, as higher education expanded along with the mounting ambitions of national politics, focused on centralization, efficiency, and rationalization. The analysis is structured around three focal issues for which collegial ideals and practices, including their temporal characteristics, were particularly questioned: (a) the composition of the university board, (b) the employment status of professors, and (c) hiring or promotion practices. Pointing at more structural challenges, this study highlights how collegiality requires a constant maintenance paired with an awareness of its longer and complex history.

The purpose of this study is to comprehend how AI aids marketers in engaging customers and generating value for the company by way of customer engagement (CE). CE is a popular area of research for scholars and practitioners. One area of research that could have far-reaching ramifications with regard to strengthening CE is artificial intelligence (AI). Consequently, it becomes extremely important to understand how AI is helping the marketer reach customers and create value for the firm via CE.

A detailed approach using both systematic review and bibliometric analysis was used. It involved identifying key research areas, the most influential authors, studies, journals, countries and organisations. Then, a comprehensive analysis of 50 papers was carried out in the four identified clusters through co-citation analysis. Furthermore, a content analysis of 42 articles for the past six years was also conducted.

Emerging themes explored through cluster analysis are CE concepts and value creation, social media strategies, big data innovation and significance of AI in tertiary industry. Identified themes for content analysis are CE conceptualisation, CE behaviour in social media, CE role in value co-creation and CE via AI.

CE has emerged as a topic of great interest for marketers in recent years. With the rapid growth of digital media and the spread of social media, firms are now embarking on new online strategies to promote CE (Javornik and Mandelli, 2012). In this review, the authors have thoroughly assessed multiple facets of prior research papers focused on the utilisation of AI in the context of CE. The existing research papers highlighted that AI-powered chatbots and virtual assistants offer real-time interaction capabilities, swiftly addressing inquiries, delivering assistance and navigating customers through their experiences (Cheng and Jiang, 2022; Naqvi et al., 2023). This rapid and responsive engagement serves to enrich the customer’s overall interaction with the business. Consequently, this research can contribute to a comprehensive knowledge of how AI is assisting marketers to reach customers and create value for the firm via CE. This study also sheds light on both the attitudinal and behavioural aspects of CE on social media. While existing CE literature highlights the motivating factors driving engagement, the study underscores the significance of behavioural engagement in enhancing firm performance. It emphasises the need for researchers to understand the intricate dynamics of engagement in the context of hedonic products compared to utilitarian ones (Wongkitrungrueng and Assarut, 2020). CEs on social media assist firms in using their customers as advocates and value co-creators (Prahalad and Ramaswamy, 2004; Sawhney et al., 2005). A few of the CE themes are conceptual in nature; hence, there is an opportunity for scholarly research in CE to examine the ways in which AI-driven platforms can effectively gather customer insights. As per the prior relationship marketing studies, it is evident that building relationships reduces customer uncertainty (Barari et al., 2020). Therefore, by using data analysis, businesses can extract valuable insights into customer preferences and behaviour, equipping them to engage with customers more effectively.

The rapid growth of social media has enabled individuals to articulate their thoughts, opinions and emotions related to a brand, which creates a large amount of data for VCC. Meanwhile, AI has emerged as a radical way of providing value content to users. It expands on a broader concept of how software and algorithms work like human beings. Data collected from customer interactions are a major prerequisite for efficiently using AI for enhancing CE. AI not only reduces error rates but, at the same time, helps human beings in decision-making during complex situations. Owing to built-in algorithms that analyse large amounts of data, companies can inspect areas that require improvement in real time. Time and resources can also be saved by automating tasks contingent on customer responses and insights. AI enables the analysis of customer data to create highly personalised experiences. It can also forecast customer behaviour and trends, helping businesses anticipate needs and preferences. This enables proactive CE strategies, such as targeted offers or timely outreach. Furthermore, AI tools can analyse customer feedback and sentiment across various channels. This feedback can be used to make necessary improvements and address concerns promptly, ultimately fostering stronger customer relationships. AI can facilitate seamless engagement across multiple digital channels, ensuring that customers can interact with a brand through their preferred means, be it social media, email, or chat. Consequently, this research proposes that practitioners and companies can use analysis performed by AI-enabled systems on CEB, which can assist companies in exploring the extent to which each product influences CE. Understanding the importance of these attributes would assist companies in developing more memorable CE features.

This study examines how prominent CE and AI are in academic research on social media by identifying research gaps and future developments. This research provides an overview of CE research and will assist academicians, regulators and policymakers in identifying the important topics that require investigation.

This research extends the knowledge on the less-frequently explored outcomes of entrepreneurial endeavour. The study provides unique insights into the overall satisfaction of entrepreneurs with their life, job and financial situation, as well as perceived economic self-sufficiency and income. The obtained findings represent a specific group of Czech self-employed individuals who started their businesses while unemployed, with the help of public financial assistance.

The presented contribution is based on a primary survey among those individuals (N = 128), conducted in 2022 and triangulated by insights from informal interviews with the respondents and earlier empirical evidence.

The main findings document that most of the surveyed entrepreneurs are overall satisfied with their lives and jobs, their incomes are above the minimum wage and, despite the challenges faced, they mainly benefit from autonomy associated with this career choice. The multivariate ordered logistic regression results highlight the significance of several previously identified variables, such as gender, health status, formal education, entrepreneurial self-efficacy and family situation, that influence the studied outcomes and provide opportunities and challenges for ongoing research.

The conducted study acknowledges the need to consider the whole picture of entrepreneurship success. Therefore, it provided insights into the monetary and non-monetary outcomes of the specific type of entrepreneurship.