Search results

The purpose of this study is to identify seminal research works on distance and online learning that have had significant impact on the domain.

The authors used the SCOPUS database for this study as the data source, and a well-defined search strategy retrieved the items for analysis. First, the authors identified the h-index (n = 207) of the discipline to determine the threshold for listing the top works. The authors critically analysed these classic publications using several bibliometric parameters to present the analysis. To understand the primary focus of the classic research works, the authors also carried out a keyword cluster analysis using VOSviewer.

While the USA produced maximum classic research, authors from Canada have maximum research visibility in terms of citations (n = 474.06). Canada also received the highest value of RCI (1.30), followed by Taiwan and Australia. The majority of the classics are published in 67 scientific journals. Of these, Computers and Education published the highest number with a quarter of the total citations (n = 19,403). Although e-learning was the nucleus of the research theme, the authors observed that students, learning systems, online learning, blended learning, learning management systems and computer-aided instructions dominated their influence in the research cluster.

To the best of the authors’ knowledge, this is the first of its kind work in the field of distance and online learning. Findings of this study would be useful to faculty, researchers and students in the discipline to focus on the seminal works and understand their implications better in the context of the growing significance of the discipline.

Anthropomorphism plays a crucial role in the deployment of human-like robots in hospitality and tourism. This study aims to propose an anthropomorphism-based typology of artificial intelligence (AI) robots, based on robot attributes, usage, function and application across different operational levels.

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist, the research was conducted in two stages. A search strategy was implemented to explore anthropomorphism-based AI robots and to develop a robot typology.

This study provides a comprehensive typology of anthropomorphism-based AI robots used in tourism and hospitality and classifies them into four types, namely, chatbots, mechanoids, humanoids and android robots. Each type features distinct functions and applications.

The findings can assist companies in using anthropomorphic robots to improve service and strengthen competitiveness. This study offers valuable insights to managers for deploying AI robots across diverse service sectors.

This research provides a novel typology of hospitality and tourism AI robots and extends the understanding of anthropomorphism in human–robot interaction. This typology encompasses both virtual and physical robots, providing clarity on their attributes, usage, functions and applications across diverse areas of hospitality operations.

拟人化在酒店和旅游业中的人类化机器人部署中起着至关重要的作用。本研究提出了基于拟人化的AI机器人分类学, 基于机器人的属性、使用、功能和在不同运营层面的应用。

按照系统评价和荟萃分析（PRISMA）检查表, 研究分为两个阶段进行。实施了搜索策略, 探索基于拟人化的AI机器人, 并开发了机器人分类学。

本研究提供了在旅游和酒店业中使用的基于拟人化的 AI 机器人的全面分类学, 并将它们分为四类, 即聊天机器人、机械机器人、人形机器人和仿生机器人。每种类型具有不同的功能和应用。

研究结果可以帮助企业利用拟人化机器人提升服务水平, 增强竞争力。研究为管理者在各种服务领域部署 AI 机器人提供了宝贵的见解。

本研究提供了一种新颖的酒店和旅游业 AI 机器人分类学, 并扩展了拟人化在人机交互中的理解。这种分类学涵盖了虚拟和实体机器人, 清晰地描述了它们在酒店业运营的各个领域中的属性、使用、功能。

Social media platforms have matured into significant arenas for moral conflict and often intense confrontation between brands and their consumers. This research aims to scrutinize the strategic development of a fresh brand entity deliberately detached from its morally compromised corporate parent, intended to reshape public perceptions and elude regulatory scrutiny.

Promoted as a center for transformative dialogue and innovation, Mission Winnow by Philip Morris is a novel example of a brand creating an entirely separate brand entity to provide sponsorship, and to associate itself with new brand values. This study employs a multisited netnography through which the posts and conversations on Mission Winnow’s platform and website hub are captured and interpreted, as well as the branded content and the free flows of consumers’ conversations generated around the brand on social media.

Findings reveal a broad interchange of moral controversy, acceptance and opposition discourses on social media. When consumers’ acceptance narratives gain traction, consumers extend their support toward the new brand entity, employing strategies that echo moral rationalization and decoupling. When resistance narratives dominate, consumers consciously draw connections between the decoupled brand and the parent brand’s immoral behavior.

This study expands upon prior research into brand activism and consumers’ moral reasoning toward controversial brands, linking the notion of brand decoupling to brand activism discourse and introducing key underexplored aspects like the power of imagery, linguistic creativity and nostalgia. Moreover, it presents significant implications for a more nuanced understanding of the important interrelationship of brand decoupling and recoupling on social media.

The purpose of this study is to explore the long-term, deeper transformations occurring in the wider energy transition to anticipate emerging issues through collective anticipatory intelligence.

Through a co-productive research design, the authors collectively scanned and discussed contemporary developments in the Swedish energy transition. The acquired insight was used in a causal layered analysis over three horizons to separate between views and developments in time and space.

Findings of this study present current, transitionary and emerging issues and how they emerge from deeper levels such as values and worldviews. These issues are discussed around how underlying changes may change to mitigate them, suggesting three strategies.

The framed and anticipated issues enable monitoring and proactive response, and the discussion contributes insight to ongoing political debates, as well as implications for managing similar initiatives.

Insights are provided into the changing cultures and values required in a future energy system, showing, e.g. how demand-side response may either come through relinquishing control over consumption or through increased flexibility and change.

Studying issues of growing concern and novel approaches, this paper should be of interest to practitioners in the energy sector and foresight professionals. It provides a critique and framing of issues to be monitored, adding to the growing library of energy futures studies.

The recent proliferation of preprints could be a way for researchers worldwide to increase the availability and visibility of their research findings. Against the background of rising publication costs caused by the increasing prevalence of article processing fees, the search for other ways to publish research results besides traditional journal publication may increase. This could be especially true for lower-income countries.

Therefore, the authors are interested in the experiences and attitudes towards posting and using preprints in the Global South as opposed to the Global North. To explore whether motivations and concerns about posting preprints differ, the authors adopted a mixed-methods approach, combining a quantitative survey of researchers with focus group interviews.

The authors found that respondents from the Global South were more likely to agree to adhere to policies and to emphasise that mandates could change publishing behaviour towards open access. They were also more likely to agree posting preprints has a positive impact. Respondents from the Global South and the Global North emphasised the importance of peer-reviewed research for career advancement.

The study has identified a wide range of experiences with and attitudes towards posting preprints among researchers in the Global South and the Global North. To the authors' knowledge, this has hardly been studied before, which is also because preprints only have emerged lately in many disciplines and countries.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0181

The purpose of this study is to examine the “Top 100” articles that received the highest online attention in 2023.

The author examined data obtained from the Dimensions database. They determined the top 100 articles with the highest Altmetric Attention Score published in 2023 using the Dimensions database. The search was done on December 31, 2023, and the publication type was limited to articles. Furthermore, articles were analyzed to identify online attention platforms, subject categories, publication sources, access types and authorship patterns. The data were organized in Microsoft Excel for eventual examination.

The most discoursed article in 2023 has an Article Attention Score of 26156. The “Top 100 List” is dominated by COVID-19-related studies. X (249,064), Mendeley (2,445) and News (1,977) are the most prominent sharing and discussion platforms. There is an unequal distribution of articles in 28 subject categories. The top 100 articles were published in 67 journals. The majority of articles are accessible under the open-access model. The top 100 articles are written by 1,323 authors, with an authorship range of 1 to 308. The majority of articles are the result of collaborative work, and the correlation analysis between citations and AAS indicates a weak positive correlation possibly because of different factors influencing each metric and their methods of measuring scholarly impact.

To the best of the authors’ knowledge, this study is the first to present online attention to academic articles published in 2023. This study examines the effect of online attention platforms on research, which may be used as a measure of research outcome.

Lesotho is one of the most vulnerable countries to effects of climate change with resultant recurrent drought. Drought and dry spells have become a common feature that causes crop failure which subsequently causes food insecurity for agrarian communities. While drought-related research has explored the association between rainfall and crop production, there is a gap in understanding people’s experiences of drought impacts and their opinion about what actions could be taken to avoid such impacts in the future. This study aims to ask: what are people’s experiences of drought and potential early actions that could save livelihoods and reduce human suffering?

A qualitative research approach was adopted where this paper carried out consultations in three agroecological zones, i.e. Southern Lowlands, Northern Lowlands and Mountains of Lesotho. Overall, this paper conducted 48 community consultations where genderized focus group discussions (mixed elderly, mixed youth, middled aged men and women) and nine key informants (local authorities, schoolteachers, wisemen and women in the community) interviews were conducted. Furthermore, interviews with stakeholders at the district level (sectoral leaders in disaster risk reduction sub-sectors) were conducted.

This study finds that there are interlinked socio-economic, productive and environmental impacts. Drought-related impacts reported were: cost of food, prevalence of diarrhoea in children under five years of age, conflicts over resources, animal diseases and mortality, aridity and crop failure. Informants also perceived the following actions could be taken before a drought is manifested: clear agro-climatological early warning messages, tailor-made drought-relevant advisories, water harvesting and availability of drought-tolerant seeds. It is thus imperative to streamline policy interventions regarding dissemination of early warning messages and anticipatory actions to reduce the negative impacts of drought on livelihoods.

In any qualitative study, the researchers need to reflect on their positionality and how that may influence the research process, outcomes and the general limitations of the research methods (Quandt, 2021). Given that the research team has worked with humanitarian organisations in the study area after which development interventions were implemented, this might have led to interviewees exaggerating the negative impacts of drought hoping the team to bring assistance into the community. In contrast, others may have downplayed the impact and anticipatory actions they deem necessary because of concern that people from different institutions come to ask questions without feedback.

This study provides much-needed evidence on how communities affected by drought conceptualise it and how it affects their livelihoods. It delivers an understanding of the nature of the impacts of drought and the nature of anticipatory actions perceived as essential in reducing these impacts and, in so doing, seeks to inform policymakers on designing interventions informed by evidence on lived experience. Future humanitarian and policy interventions to prepare for droughts can use this evidence to identify the type of support that would be the most well-received by community members who are preparing for long-term drying trends in their region.

The study presents an understanding of people’s opinions of the nature and state of drought impacts, which are key to any effort towards developing and implementing relevant anticipatory action interventions to minimise the impacts of drought.

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.

This paper aims to investigate the impact of prolonged work hours and high stress levels on ethical behavior within health-care settings. It evaluates how these factors compromise professional and personal boundaries and examines the efficacy of targeted ethical training programs designed to mitigate these challenges.

This study adopts an integrated conceptual framework combining the interactionist model of ethical decision-making, organizational justice theory and virtue ethics. It uses data from the General Social Survey (GSS) and analyzes trends and insights from existing literature. The study explores theoretical underpinnings and empirical evidence to understand the complex interplay between workplace stress, long hours and ethical behavior in health-care environments, ensuring the validity and reliability of the findings.

The findings highlight a significant correlation between excessive work hours, increased stress levels and ethical lapses in health-care settings. These lapses, including breaches of confidentiality and inappropriate workplace relationships, can have profound implications for patient care and professional satisfaction. The efficacy of ethical training programs in enhancing moral reasoning and ethical judgment among health-care professionals is demonstrated, particularly those programs that mirror real-world complexities. Such training equips health-care workers with the necessary tools to navigate ethical dilemmas effectively, fostering a culture of ethical awareness and integrity.

This paper uniquely contributes to the literature by comprehensively analyzing how stress and work hours influence ethical behavior, specifically in health-care settings. Supported by a robust theoretical framework, it extends previous research by demonstrating the effectiveness of ethical training in improving ethical behavior. The paper provides practical recommendations for health-care organizations to cultivate a culture of ethical awareness and integrity, highlighting the potential for such programs to improve patient care and professional satisfaction significantly.

Social mediametrics is a subfield of measurement in which the emphasis is placed on social media data. This paper analyzes the trends and patterns of paper comprehensively mentions on Twitter, with a particular focus on Twitter's mention behaviors. It uncovers the dissemination patterns and impact of academic literature on social media. The research has significant theoretical and practical implications.

This paper explores the fundamental attributes of Twitter mentions by means of analyzing 9,476 pieces of scholarly literature (5,097 from Nature and 4,379 from Science), 1,474,898 tweets and 451,567 user information collected from Altmetric.com database and Twitter API. The study uncovers assorted Twitter mention characteristics, mention behavior patterns and data accumulation patterns.

The findings illustrate that the top academic journals on Twitter have a wider range of coverage and display similar distribution patterns to other academic communication platforms. A large number of mentioners remain unidentified, and the distribution of follower counts among the mention users exhibits a significant Pareto effect, indicating a small group of highly influential users who generate numerous mentions. Furthermore, the proportion of sharing and exchange mentions positively correlates with the number of user followers, while the incidence of supportive mentions has a negative correlation. In terms of country-specific mention behavior, Thai scholars tend to utilize supportive mentions more frequently, whereas Korean scholars prefer sharing mentions over communicating mentions. The cumulative pattern of Twitter mentions suggests that these occur before official publication, with a half-life of 6.02 days and a considerable reduction in the number of mentions is observed on the seventh day after publication.

Conducting a multi-dimensional and systematic analysis of Twitter mentions of scholarly articles can aid in comprehending and utilizing social media communication patterns. This analysis can uncover literature's distribution patterns, dissemination effects and social significance in social media.