Search results

This study aims to analyse the differences between professional interaction mediated by video conferencing and direct professional interaction. The research identifies diverging interests of office workers for the purpose of addressing work ethical and business ethical issues of professional collaboration, competition, and power in future hybrid work models.

Based on 28 qualitative interviews conducted between November 2020 and June 2021, and through the theoretical lens of phenomenology, the study develops explanatory hypotheses conceptualising four basic intentions of professional interaction and their corresponding preferences for video conferences and working on site.

The four intentions developed on the basis of the interviews are: the need for physical proximity; the challenge of collective creativity; the will to influence; and control of communication. This conceptual framework qualifies a moral ambivalence of professional interaction. The authors identify a connectivity paradox of professional interaction where the personal dimension remains unarticulated for the purpose of maintaining professionality. This tacit human connectivity is intertwined with latent power relations. This plasticity of both connectivity and power in direct interaction can be diminished by transferring the interaction to video conferencing.

The application of phenomenology to a collection of qualitative interviews has enabled the identification of underlying intention structures and the system in which they affect each other. This research identifies conflicts of interests between workers relative to their different self-perceived abilities to persevere in competitive professional interaction. It is therefore able to address consequences of future hybrid work models at an existential and societal level.

This study delves into the complex realm of consumer behavior by exploring the impact of distinct shopping motives, encompassing status, value and gratification, on store satisfaction within the domain of organic food retail. Moreover, it seeks to decipher the influence of perceptual disparities between male and female patrons on the intricate nexus between shopping experience and consumer loyalty within organic food stores.

A comprehensive dataset comprising responses from 400 participants was gathered and subjected to confirmatory analysis and structural equation modeling. These analytical tools were employed to dissect the data, validate the underlying research framework and unveil critical insights.

The empirical analysis, facilitated by structural equation modeling, substantiates that organic food stores prioritize the organic attribute, primarily centered on healthiness, often to the detriment of broader conceptual and social aspects. This validates the interplay between shopping experience dimensions, customer contentment, loyalty and the intent to revisit. Gender, as a moderator, exerts a discernible influence on these relationships, highlighting distinct shopping behaviors among male and female consumers when gauging the influence of shopping experience dimensions within organic food retail establishments.

The implications of this research resonate deeply within the organic food retail landscape. The insights garnered provide valuable guidance to organic food retailers aiming to enhance their store ambiance and allure, thereby fostering sustained customer satisfaction. This, in turn, augments the propensity for customer loyalty and repeat patronage, a particularly pressing concern in today's fiercely competitive retail milieu. Furthermore, the study carries significant ramifications for organic food producers and governmental entities, outlining a framework for augmenting the value proposition of organic foods in alignment with customer experiential paradigms.

In a milieu characterized by the emergence of novel product categories and industry entrants, the study fills a critical void by investigating customer satisfaction within the broader retail food sector, with specific focus on organic food stores. Moreover, the research embarks on a pioneering exploration of the prospective trajectory of organic food stores in the Indian context, employing a marketing lens and grounded in the theory of needs satisfaction.

The purpose of this paper is to examine and compare the in situ place experiences of people in Luton and Darlington.

The study used 109,998 geotagged tweets from Luton and Darlington between 2020 and 2022 and conducted topic modelling using latent Dirichlet allocation. Lexicons were created using GPT-4 to evaluate the eight dimensions of place experience for each topic.

The study found that Darlington had higher counts in the sensorial, behavioural, designed and mundane dimensions of place experience than Luton. Conversely, Luton had a higher prevalence of the affective and intellectual dimensions, attributed to political and faith-related tweets.

The study introduces a novel approach that uses AI-generated lexicons for place experience. These lexicons cover four facets, two intentions and two intensities of place experience, enabling detection of words from any domain. This approach can be useful not only for town and destination brand managers but also for researchers in any field.

The total defence (TD) concept constitutes a joint endeavour between the military forces and civil defence structures within a TD state. Logistics is essential for such joint collaboration to work; however, the mismatch between military and civil defence logistics structures poses challenges for such joint collaboration. The purpose of this paper is to identify logistics concept areas within the TD framework that allow for military and civil defence collaborations from a logistics operations perspective.

Pattern-matching analysis is used to compare patterns found in the investigated case with those prescribed from the literature and predicted to occur. The study seeks to identify logistics concepts within TD from the literature and from the events describing the Swedish response to the Covid-19 pandemic. Pattern matching thus allows for the reconciliation of logistics concepts from the literature to descriptions of how the response was handled, albeit under a TD framework.

Findings show quite distinct foci between the theoretical and observational realms in terms of logistics applications. While the theoretical realm identifies four main logistics concepts, the observational realm identifies five logistics conceptual themes. This goes on to show an incongruence between the military and civil parts of the TD.

This study provides basis for further research into the applications and management of logistics activity within TD and emergency response.

Logistics applications within TD have not, until now, received much attention in the literature. Given this knowledge gap, this study is of original value.

Consumers are increasingly embracing innovative technologies for enhanced experiences. This study delves into the banking consumer brand experience through the lens of augmented reality (AR). The focus is on mobile augmented reality applications within financial institutions, which contribute to a more enjoyable and immersive customer experience. Specifically, the research highlights the utilisation of mobile augmented reality applications by a Pakistani bank and examines its influence on consumer loyalty and sustained engagement, with a particular emphasis on the AR brand experience.

The authors conducted a comparative study between married and unmarried consumers with sample sizes of 178 and 172, respectively. The results were analysed through structural equation modelling using SmartPLS.

The study's outcomes show that AR brand experience for the unmarried sample category is positive and higher than a married one. This is an excellent opportunity for the banking sector in Pakistan to invest more in innovative technologies.

The current study investigates the brand experience in the banking sector from the perspective of AR technology which contributes to the AR literature.

The purpose of this investigation is to scrutinize the unexplored realm concerning the interplay of hospital brand gestalt on patient satisfaction and revisit intentions.

A self-administered online survey was conducted with 227 patients who had stayed at and received health-care services from a private hospital in the city of Manado, Indonesia, within the past 12 months. The quantitative data were subsequently analyzed using a structural equation model with the assistance of Smart PLS statistical software.

The results suggest that the hospital brand gestalt significantly and positively influences patient satisfaction, which, in turn, leads to patients’ intentions to revisit. Furthermore, patient satisfaction serves as a significant mediator in the relationship between brand gestalt and revisit intentions.

This study enhances the comprehension of brand gestalt’s influence on customer attitudes and behaviors within the health-care context, contributing to the expanding body of literature concerning holistic brand perception. For health-care providers, the study underscores the significance of creating a uniform and distinctive brand experience to boost patient satisfaction and cultivate loyalty. In summary, this study paves the way for strategic branding initiatives in health care, ultimately enhancing patient experiences and organizational outcomes.

For health-care providers, this study emphasizes the importance of crafting a consistent and differentiated brand experience to enhance patient satisfaction and foster loyalty. Overall, this study opens avenues for strategic branding efforts in health care, ultimately improving patient experiences and organizational outcomes.

While there is a growing interest in the role of brand gestalt in marketing research, there is still a need for more empirical research to explore the link between brand gestalt, customer satisfaction and revisit intention. Surprisingly, to the best of the authors’ knowledge, no previous studies have investigated the role of brand gestalt in the context of health care.

The purpose of this study is to examine the determinants impacting consumer behaviour in organic food consumption in Bangladesh. This study aims to identify the key factors facilitating organic food consumption and establish a framework by analysing their contextual relationships.

The study used interpretive structural modelling (ISM), relying on expert perspectives from experienced academicians and marketing professionals. A Matrice d'Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) analysis was performed to assess the driving forces and interdependencies among these determinants.

The MICMAC analysis grouped determinants influencing organic food purchases into four categories. The dependent factors, like attitude and food safety, showed moderate driving forces and high dependence. Linkage determinants, such as environmental concern and price, exerted considerable influence with moderate dependence. Independent variables, especially knowledge about organic food, had a strong impact with relatively low dependence.

This study’s insights offer valuable guidance for managers in the organic food industry, providing strategies to address consumer behaviour. Prioritising education on environmental benefits, transparent pricing, collaborating on policies, ensuring food safety and understanding determinants impacting purchase intent can aid in designing effective marketing strategies and product offerings aligned with consumer needs, ultimately promoting sustainability.

To the best of the authors’ knowledge, this study is the first to investigate the interconnections and relative significance of determinants influencing organic food purchases, using the ISM approach and MICMAC analysis. It delves into the previously unexplored territory of understanding the relationships and hierarchical significance of these determinants in shaping consumer behaviour towards organic food purchases.

Microteaching is a teacher training method based on microclasses (groups of four or five students) and microlessons lasting no more than 5–20 min. Since it was first explored in the late 20th century in experiments at Stanford University, microteaching has evolved at the interdisciplinary level. The purpose of this paper is to examine the networks found via an analytical bibliometric study of the scientific output related with microteaching in teacher training, through a study and examination of the Web of Science database.

This research was conducted with the VOSviewer tool for content analysis through data mining and scientific network structure mapping by means of the normalisation technique. This technique is based on the association strength indicator, which is interpreted as a measurement of the similarity of the units of analysis.

Two hundred and nine articles were thus obtained from the Web of Science database. The networks generated and the connections among the various items, co-authorship and co-citation are presented in the results, which clearly indicates that there are significant authors and institutions in the field of microteaching. The largest cluster is made up of institutions such as Australian Catholic University. The most often-cited document is by Rich and Hannafin. Allen (1968), who defines microteaching as a technique based on microclasses and microlessons, is the author most often cited and has the largest number of connections.

This research’s limitations concern either aspects that lie beyond the study’s possibilities or goals that have proved unattainable. The second perspective, which focuses on skill transfer, contains a lower percentage of documents and therefore has a weaker central documentary structure. Lastly, the authors have also had to bear in mind the fact that the scientific output hinges upon a highly specific realm, the appearance and/or liberalisation of digital technologies and access to those technologies in the late 20th century.

This research shows that microteaching is a promising area of research that opens up vast possibilities in higher education teacher training for application in the realm of technologies. This paper could lead to several lines of future research, such as access to and the universal design of learning from the standpoint of different communication and pedagogical models based on microteaching.

The rapid rise of large language models (LLMs) has propelled them to the forefront of applications in natural language processing (NLP). This paper aims to present a comprehensive examination of the research landscape in LLMs, providing an overview of the prevailing themes and topics within this dynamic domain.

Drawing from an extensive corpus of 198 records published between 1996 to 2023 from the relevant academic database encompassing journal articles, books, book chapters, conference papers and selected working papers, this study delves deep into the multifaceted world of LLM research. In this study, the authors employed the BERTopic algorithm, a recent advancement in topic modeling, to conduct a comprehensive analysis of the data after it had been meticulously cleaned and preprocessed. BERTopic leverages the power of transformer-based language models like bidirectional encoder representations from transformers (BERT) to generate more meaningful and coherent topics. This approach facilitates the identification of hidden patterns within the data, enabling authors to uncover valuable insights that might otherwise have remained obscure. The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

This classification offers practical guidance for researchers, developers, educators, and policymakers to focus efforts and resources. The study underscores the importance of addressing challenges in LLMs, including potential biases, transparency, data privacy, and responsible deployment. Policymakers can utilize this information to shape regulations, while developers can tailor technology development based on the diverse applications identified. The findings also emphasize the need for interdisciplinary collaboration and highlight ethical considerations, providing a roadmap for navigating the complex landscape of LLM research and applications.

This study stands out as the first to examine the evolution of LLMs across such a long time frame and across such diversified disciplines. It provides a unique perspective on the key areas of LLM research, highlighting the breadth and depth of LLM’s evolution.