Past-behavior questions invite applicants to describe their behavior in a past work-related situation, that is, to tell a story about that situation. However, applicants often fail to produce stories in response to such questions. In two experiments (n = 91 and n = 102), we investigated the effects of providing information about questions and professional experience (2 × 2 between-subjects design) on the production of stories and interview performance. In Experiment 1, providing information and professional experience did not affect story production, but professional experience increased performance. In Experiment 2, we enhanced the manipulation of information, giving more explicit guidance about expected responses and increasing the contrast in professional experience. Experienced participants received better performance ratings than inexperienced ones. Neither providing information nor professional experience affected the production of stories, but both affected performance. Story narrative quality was coded post hoc in both studies. Providing information and professional experience did not affect narrative quality in Experiment 1 but did in Experiment 2. Results add to our understanding of individual differences affecting responses to past-behavior questions and have practical implications for facilitating appropriate responses.
The purpose of this paper is to point out that most research published in hospitality and tourism industry journals is of no value to the visitor industries or society. It argues that a primary reason is the academic practice of evaluating the utility of its research with the inappropriate metrics of journal impact factors and citation counts. To become relevant, academic leaders must refocus evaluation of the field’s research on its meaningful impacts on society.
This study reviews the literature that differentiates the constructs of research quality and research impact and identifies their limitations.
The contention that either journal impact factors or citation counts adequately measure the usefulness of research is challenged. It is suggested that reliance on them has resulted in an academic self-serving “echo chamber.” The author argues the field should refocus away from the echo chamber to shift the primary evaluation of research to societal impact. Illustrations are offered from the author’s recent experiences that illustrate the fallacy of confusing citation counts with impact. The challenges of shifting to an impact assessment from the existing system are acknowledged, and a way forward is proposed.
Continuing to embrace beguiling measures that are invested with a conventional, but false, aura of truth inevitably means the field’s scholarship will continue to be ignored.
An analytical critique of the prevailing metrics is undertaken, and a five-step process to shift the emphasis to societal impact is offered.
This paper studies how the relations between nature and society are constructed in disaster governance frameworks. Dominant disaster governance frameworks present nature and society as separate realms, and the organisation of society is increasingly seen as the key cause of hazards and disasters. Disaster impacts are similarly framed around adverse societal consequences, while other-than-human nature is merely the background across which disasters unfold, as property lost, or a means of disaster governance. Although the centrality of human impacts is troubled when biodiversity or a disaster flagship species is threatened, neither situation challenges the nature–society dualism embedded in dominant disaster governance frameworks. The attention and resources of disaster governance target the societal side of nature–society dualism. This study finds, though, that in peripheries characterised by remoteness from centres of power, a sparse human population, and large spaces of other-than-human nature, the vulnerabilities facing humans and other-than-human nature risk being ungoverned.
Generative Artificial Intelligence (Gen-AI) has provided new opportunities and challenges in using educational environments for students’ interaction and knowledge acquisition. Based on the expectation–confirmation theory, this paper aims to investigate the effect of different constructs associated with Gen-AI on engagement, satisfaction and word-of-mouth.
We collected data from 508 students in the UK using Qualtrics, a prominent online data collection platform. The conceptual framework was analysed through structural equation modelling.
The findings show that Gen-AI expectation formation and Gen-AI quality help to boost Gen-AI engagement. Further, we found that active engagement positively affects Gen-AI satisfaction and positive word of mouth. The mediating role of Gen-AI expectation confirmation between engagement and the two outcomes, satisfaction and positive word of mouth, was also confirmed. The moderating role of cognitive processing in the relationship between Gen-AI quality and engagement was found.
This paper extends the Expectation-Confirmation Theory on how Gen-AI can enhance students’ engagement and satisfaction. Suggestions for future research are derived to advance beyond the confines of the current study and to capture the development in the use of AI in education.
This article presents a Theories, Contexts, and Methods (TCM)-Antecedents, Decisions, and Outcomes (ADO) framework-based systematic review based on the TCM-ADO framework to synthesize consumer perspectives of plant-based meat alternatives (PBMA). This article offers an overview of the TCM presented in the reviewed articles. ADO are examined to delineate the factors influencing consumer choices and their implications. By integrating these perspectives, the review provides a holistic view, setting a foundation for targeted strategies in promoting PBMA adoption. This review identifies 26 antecedents from 53 articles, organized into four main categories: individual-related antecedents, socio-demographic factors, sociocultural factors, and product-related antecedents. Understanding consumers' perspectives on PBMA is crucial to developing strategies that encourage sustainable dietary changes. This review highlights the complexity of consumer decision-making regarding PBMA and underscores the need for multi-pronged strategies to enhance their acceptance and purchase intention. Furthermore, the TCM and ADO frameworks are used to identify literature gaps and suggest future research directions. This approach supports stakeholders in developing targeted interventions that facilitate the transition to more sustainable food systems.
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：