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This paper aims to the intricate relationship between digital influencers (DIs) and their followers, aiming to develop a comprehensive framework that explains how influence works in the digital world. It focuses on understanding the cultural aspects that shape these relationships in today’s global and digital marketplace.

This study employs a holistic methodology, intertwining historical, cultural and theoretical insights to decode the DI phenomenon. Applying a Grounded Theory approach, this paper coded articles into categories, developed abstract concepts and refined them through cycles of literature collection and analysis that allowed identifing gaps in the Influencer Marketing field. This comprehensive review and inductive analysis of globalization, mediated communication and digital interactions aim to unravel the intricacies of digital and virtual influence. This paper’s theoretical development advances propositions that dissect the facets influencing digital adoption, usage, interest and value perception, leading to a detailed model of digital influence grounded in both theory and real-world examples.

This research uncovers the significant impact DIs have, driven by global connections and the way we communicate in the digital age. Historical context situates DIs within the broader narrative of mediated persuasive communication. A preliminary typology of DIs and influence contexts forms the foundation for further exploration.

This study enhances the discussion around DIs by considering the influence of technology and culture together. It draws from the thoughts of leading thinkers on how technology connects us, providing a strong foundation for future studies.

As digital influence and the surrounding technology continue to change, it’s important to think critically about these trends. This research offers valuable insights for businesses looking to navigate the digital landscape effectively, helping them make better strategic decisions about their online presence.

This study breaks new ground by offering a detailed categorization of DIs and proposing a fresh way to understand their role. It links important ideas from the past about persuasion through media to the current state of digital influence, offering insights into how digital trends might affect communication strategies.

This chapter will explore how independent coffee shops and cafés are creating unique servicescapes to meet the needs and desires of their clientele. Using the model of servicescape, the authors report on several micro-case studies in which the researchers play the role of customers and explore their own feelings and preferences when choosing and visiting an independent coffee shop or café. In each case, the researchers noted their feelings and experiences of the environment under the headings of ambience; arrangement and function with reference to the furnishings and crockery; the signs, symbols and artefacts were considered in relation to the name of the business and the marketing message of the business.

The intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT.

While evaluating ChatGPT's adoption dynamics, this study analyses the UTAUT2 core factors and perceived benefits. Real-time data from 638 business and management students in India were collected through purposive sampling and a cross-sectional survey. An in-depth examination using IBM SPSS and AMOS revealed the patterns that regulate ChatGPT reception in educational settings.

Habit emerges as a powerful predictor, which aligns with the Habit Loop Theory's cues, routine and rewards. Perceived benefits significantly influence adoption, and traditional factors like performance expectancy and social influence exert no influence. The insignificance of effort expectancy challenges conventional understanding, unveiling novel aspects of student tech adoption.

There is a need for guidelines to ensure fair and responsible use of ChatGPT among students. While ChatGPT presents advantages like task automation and personalized learning, integrating it into the existing education system requires careful planning to harness its benefits effectively.

With the recent introduction of Generative-AI tools, understanding student acceptance and application is essential. This research sheds light on this emerging technology, emphasizing the importance of analyzing technology acceptance for its successful adoption.

The paper aims to explore the relationship between accounting and racial violence through an investigation of sharecropping in the postbellum American South.

A range of primary sources including peonage case files of the US Department of Justice and the archives of the National Association for the Advancement of Colored People (NAACP) are utilised. Data are analysed by reference to Randall Collins' theory of violence. Consistent with this theory, a micro-sociological approach to examining violent encounters is employed.

It is demonstrated that the production of alternative or competing accounts, accounting manipulation and failure to account generated interactions where confrontational tension culminated in bluster, physical attacks and lynching. Such violence took place in the context of potent racial ideologies and institutions.

The paper is distinctive in its focus on the interface between accounting and “actual” (as opposed to symbolic) violence. It reveals how accounting processes and traces featured in the highly charged emotional fields from which physical violence could erupt. The study advances knowledge of the role of accounting in race relations from the late nineteenth century to the mid-twentieth century, a largely unexplored period in the accounting history literature. It also seeks to extend the research agenda on accounting and slavery (which has hitherto emphasised chattel slavery) to encompass the practice of debt peonage.

This study aims to explore the influence of perceived value, enjoyment and novelty of fast-food chains’ smart retailing technology (SRT) on Filipino consumers’ attitude and loyalty.

Purposive sampling was used in identifying the respondents (N = 343). The participants were composed of consumers of the leading fast-food chains in the Philippines, where SRT using self-service ordering kiosks is being implemented. The hypotheses were explored using partial least squares path modeling, and predictive-causal was the study’s research design.

The results reveal that, among the factors, perceived enjoyment substantially contributes to the formation of favorable consumers’ attitude toward SRT. Moreover, perceived value was found to have a moderate effect on attitude while perceived novelty showed small impact. In terms of consumers’ attitude and loyalty, the two variables were found to have large positive and significant relationship. The moderation analysis shows that consumers’ attitude toward SRT has medium indirect effect on the relationship between perceived enjoyment and loyalty, while there is small indirect influence on the links between perceived value and loyalty, and between perceived novelty and loyalty.

As more and more fast-food establishments are adopting the use of SRT via self-ordering kiosks, the present study is the only study in the Philippine context that explores how perceived value, enjoyment and novelty affect consumers’ attitude and loyalty.

The aim of this article is to map the use of AI in the user experience (UX) design process. Disrupting the UX process by introducing novel digital tools such as artificial intelligence (AI) has the potential to improve efficiency and accuracy, while creating more innovative and creative solutions. Thus, understanding how AI can be leveraged for UX has important research and practical implications.

This article builds on a systematic literature review approach and aims to understand how AI is used in UX design today, as well as uncover some prominent themes for future research. Through a process of selection and filtering, 46 research articles are analysed, with findings synthesized based on a user-centred design and development process.

The authors’ analysis shows how AI is leveraged in the UX design process at different key areas. Namely, these include understanding the context of use, uncovering user requirements, aiding solution design, and evaluating design, and for assisting development of solutions. The authors also highlight the ways in which AI is changing the UX design process through illustrative examples.

While there is increased interest in the use of AI in organizations, there is still limited work on how AI can be introduced into processes that depend heavily on human creativity and input. Thus, the authors show the ways in which AI can enhance such activities and assume tasks that have been typically performed by humans.

Since the criminalisation of coercive control (CC), there have been a growing number of cases in the UK; however, there continues to be minimal research, understanding and education about this type of abuse. Hence, it is unsurprising that young people are at the highest risk of CC as they enter their first intimate relationships with limited awareness of the risks. The aim of this study is to explore how 16- to 24-year-olds in the UK understand CC in intimate relationships.

Semi-structured interviews were conducted with 23 young people to explore their knowledge of CC, sources of knowledge and learning opportunities. Reflexive thematic analysis was used to examine the interviews.

A total of 14 participants had heard of CC. Participants attributed victims and perpetrators behaviour to individual and environmental factors, including societal and gendered expectations. Young people explained that their knowledge came from experiences, online sources and family and friends. However, participants recognised the importance of credible messengers and sources, and some were sceptical of information shared online. Most had not learnt about CC in formal education but expressed the importance of incorporating it into the secondary curriculum.

To the best of the authors’ knowledge, this study is the first to explore how young people understand CC in the UK. The findings highlight the need for better understanding and formal education around CC, provide a platform for future work and encourage the incorporation of young voices in developing interventions.

Decision-makers often struggle to combine advice with their own intuition. This study examines how advice-giver traits and decision-makers’ intuition influence advice uptake. We present a novel typology based on decision-makers’ trust in advice-givers and their perceived expertise.

This qualitative study uses a sample of publicly available interview data with 51 elite performers. Using inductive and content analysis, we explore the mediation between decision-makers’ intuitive competence (ability to effectively deploy intuition in interface with advice) and their autonomy (self-endorsement from past performance).

We identify four sources of advice: mentor advice, specialist advice, confidant advice and commentator advice. Drawing on instances of different sources of advice along varying degrees of trust and expertise, we propose a framework for interaction between intuitional competence and advice characteristics.

We offer a novel way of contextualising nuanced forms of advice and provide a structured typology of sources, characterised by trust and expertise. This typology and our findings help reconcile contradictions in decision-making research. Finally, we offer practical guidance for the uptake of advice.

A correlation has been shown in the literature between credit constraints and the adoption of agricultural technologies, technical efficiencies and measures for adapting to climate change. The relationship between credit constraints, risk management strategy adoption and income, however, is not well understood. Consequently, the purpose of this study was to investigate how credit constraints affect the income and risk management practices adopted by Northern Nigerian maize farmers.

Cross-sectional data were collected from 300 maize farmers in Northern Nigeria using a multi-stage sampling technique. Descriptive statistics, seemingly unrelated regression and double hurdle regression models were the analysis methods.

The results showed that friends and relatives, banks, “Adashe”, cooperatives and farmer groups were the main sources of credit in the study area. The findings also revealed that the sources of risk in the study area included production risk, economic risk, financial risk, institutional risk, technological risk and human risk. In addition, the risk management strategies used to mitigate observed risks were fertilizer application, insecticides, planting of disease-resistant varieties, use of herbicides, practising mixed cropping, modern planning, use of management tools as well as making bunds and channels. Furthermore, we found that interest rate, farm size, level of education, gender and marital status were significant determinants of statuses of credit constraints while the age of the farmer, gender, household size, primary occupation, access to extension services and income from maize production affected the choice and intensity of adoption of risk management strategies among the farmers.

The study concluded that credit constrained status condition of farmers negatively affected the adoption of some risk management strategies and maize farmers’ income.

The study concluded that credit constrained status condition of farmers negatively affected the adoption of some risk management strategies and maize farmers’ income. It therefore recommends that financial service providers should be engaged to design financial products that are tailored to the needs of smallholder farmers in the study area.

This paper incorporates the role of constraints in influencing farmers’ decisions to uptake credits and subsequently their adoption behaviours on risk management strategies. The researcher approached the topic with a state-of-the-art method which allows for obtaining more reliable results and hence more specific contributions to research and practice.