Gwen Nugent, James Houston, Gina Kunz and Donna Chen
This study focused on unpacking the instructional coaching process, addressing key questions about what happens during a coaching session and what coaching elements predict…
Abstract
Purpose
This study focused on unpacking the instructional coaching process, addressing key questions about what happens during a coaching session and what coaching elements predict teacher outcomes.
Design/methodology/approach
Using coaching observational data, the research examined critical coaching processes described in the literature: coaching practices (observation, feedback, reflective discussion and planning), the coach–teacher relationship, coaching strategies and coaching duration. The study also developed a path model documenting how coaching behaviors predicted teacher instruction.
Findings
Results showed that the coach talked more than the teacher and that most coaching time was spent in reflective discussion. The coach–teacher relationship was promoted by building rapport and reciprocal trust, with use of “we” language demonstrating that coach and teacher were working as a partnership. Most common coaching strategies were clarifying and the coach prompting the teacher to attend to teacher or student behaviors. Path model analysis showed that (a) the coach–teacher relationship quality predicted the level of teacher engagement in coaching and their instructional reflection and (b) the quality of coaching strategies predicted the overall quality of the classroom instruction.
Originality/value
The study provides empirical evidence about the active ingredients of coaching – those underlying processes that impact and improve teacher practice.
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Keywords
It's not enough to simply acquire alternative and small‐press materials. They must also be made easily accessible to library users by means of accurate, intelligible, and thorough…
Gina Pisut and Lenda Jo Connell
The paper seeks to investigate fit preferences of female consumers in the USA based on the relationship between their fit preferences, body cathexis, fit problems, and personal…
Abstract
Purpose
The paper seeks to investigate fit preferences of female consumers in the USA based on the relationship between their fit preferences, body cathexis, fit problems, and personal profiles.
Design/methodology/approach
Female subjects (n=1,026) between the ages of 19 and 54 were asked to respond to a questionnaire that was mailed to subjects. The questionnaire was used to evaluate consumer fit preferences for individual garment categories (jackets, pants, skirts, blouses, and jeans) relative to respondents' personal profiles, body shape, and body cathexis. Terminology, fit issues, and elements of fit expressed as important to female consumers as identified in an initial focus group which was part of a larger study associated with this research were considered in development of the questionnaire.
Findings
Eighty percent of the sample reported two or more areas of the body where fit problems occurred. One‐third of the respondents altered up to 25 percent of RTW. Semi‐fitted preferences for clothing were reported most often. A significant relationship was found between women who scored high on the body cathexis scale and those who desired more fitted clothing. Body shapes were fairly evenly distributed among all age categories, except for the 19‐35 year old respondents who were more likely to have an hourglass silhouette.
Research limitations/implications
This methodology involved a self‐report of several variables. Items such as body measurements and body shape were subjective. Answers could be inaccurate because of respondents' lack of knowledge of their measurements or their desire to represent a more ideal figure for themselves. Using 3D body scanning to verify body measurements and body shape could provide more accurate results.
Practical implications
The issue of the fit in apparel is critical for both industry and academia. Academia has traditionally examined fit based on expert analysis and is just beginning to investigate the importance of fit from the consumer's viewpoint. In the product development area, industry needs to be able to go beyond just body measurements to incorporate fit preferences based on categorical profiles of consumer groups.
Originality/value
As a construct, fit is difficult to study. This paper identifies variables, constructs a stimulus and investigates women's preferences for fit in various garment categories.
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Mariem Bouhia, Lova Rajaobelina, Sandrine PromTep, Manon Arcand and Line Ricard
This study aims to examine the antecedents of privacy concerns in the era of artificial intelligence. Specifically, it focuses on the impact of various factors related to…
Abstract
Purpose
This study aims to examine the antecedents of privacy concerns in the era of artificial intelligence. Specifically, it focuses on the impact of various factors related to interactions with a chatbot (creepiness and perceived risk) and individual traits (familiarity with chatbots and need for privacy) in relation to privacy when interacting with a chatbot in the context of financial services. The moderating effect of gender on these relationships was also examined.
Design/methodology/approach
A total of 430 Canadians responded to an online questionnaire after interacting with a chatbot in the context of a simulated auto insurance quote. A structural equation model was used to test the hypotheses.
Findings
The results showed that privacy concerns are influenced primarily by creepiness, followed by perceived risk and the need for privacy. The last two relationships are moderated by gender. Conversely, familiarity with chatbots does not affect privacy concerns in this context.
Originality/value
This study is the first to consider the influence of creepiness as an antecedent of privacy concerns arising from interactions with AI tools and highlight its key impacts. It also shows how gender moderates specific relationships in this context.
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Gus Guanrong Liu, Pierre Benckendorff and Gabby Walters
This paper aims to synthesize the evolving research of human–robot interaction (HRI) in the hospitality and tourism industry, identifying gaps and setting directions for future…
Abstract
Purpose
This paper aims to synthesize the evolving research of human–robot interaction (HRI) in the hospitality and tourism industry, identifying gaps and setting directions for future research.
Design/methodology/approach
Using a mixed-method approach, the study combines inductive co-citation analysis with deductive theory-context-characteristics-methodology analysis.
Findings
The findings trace the progression of HRI knowledge from initial feasibility and acceptance studies to advanced post-adoption experience management. The analysis identifies prevalent theories such as anthropomorphism theory, specific contexts like hotel environments, diverse robot types (e.g. embodied robots), outcome measures (e.g. use intention) and methodologies predominantly comprising survey-based analyses and experimental approaches. The analysis not only illuminates areas of research attention but also uncovers under-explored topics, offering a roadmap for future inquiry in tourism and HRI research.
Originality/value
The paper contributes to the literature by providing a structured framework that not only maps the intellectual structure of HRI research in tourism but also proposes a cohesive integration of disparate theories and methodologies, addressing both practical and academic gaps.
目的
本研究旨在综合分析和综述酒店和旅游行业中的人机交互 (HRI) 研究现状, 以识别当前的知识空白并为未来研究指明方向。
设计/方法/途径
本文采用了结合归纳推理的共引分析和演绎推理的理论-背景-特征-方法论 (TCCM) 框架的混合方法进行分析。
研究发现
研究结果追踪了人机交互研究从初步的可行性和接受性分析到高级的采纳后体验管理的知识发展历程。本文识别并分析了广泛被应用的各个学科理论(例如拟人化理论等)、被研究的具体应用场景(例如酒店环境等)、各类机器人(例如具身化机器人等)、多种结果变量(例如使用意图等)以及被使用的方法论(例如基于调查的分析和实验法等)。本研究不仅揭示了当前研究的重点领域, 而且还指出了尚未被充分探索的主题, 从而为未来的旅游人机交互 (HRI) 研究提供了清晰的研究路线。
原创性/价值
通过提供结构化的研究框架, 本文不仅描绘了旅游领域中人机交互研究的知识结构, 还提出了一个整合不同视觉的新研究框架, 以弥合实践与学术之间的差距。
Propósito
Este artículo tiene como objetivo sintetizar la investigación en evolución sobre la interacción humano-robot (HRI) en la industria de la hospitalidad y el turismo, identificando lagunas y estableciendo direcciones para futuras investigaciones.
Diseño/Metodología/Enfoque
Empleando un enfoque de método mixto, el estudio combina un análisis de cocitación inductivo con un análisis deductivo de Teoría-Contexto-Características-Metodología (TCCM).
Hallazgos
Los hallazgos rastrean la progresión del conocimiento sobre HRI desde estudios iniciales de factibilidad y aceptación hasta la gestión avanzada de experiencias posadopción. El análisis identifica teorías prevalentes como la teoría del antropomorfismo, contextos específicos como los entornos hoteleros, tipos diversos de robots (p. ej., robots encarnados), medidas de resultado (p. ej., intención de uso) y metodologías que comprenden predominantemente análisis basados en encuestas y enfoques experimentales. El análisis no solo ilumina áreas de atención investigativa, sino que también descubre temas poco explorados, ofreciendo una hoja de ruta para futuras investigaciones en turismo e HRI.
Originalidad/Valor
El artículo contribuye a la literatura al proporcionar un marco estructurado que no solo mapea la estructura intelectual de la investigación de HRI en turismo, sino que también propone una integración cohesiva de teorías y metodologías dispares, abordando tanto las brechas prácticas como académicas.
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Qi Yao, Zhangjian Wu and Wenkai Zhou
The research aims to explore the interaction effect of consumer social class and service type on consumers' preference for robot services, as well as the mediating role of risk…
Abstract
Purpose
The research aims to explore the interaction effect of consumer social class and service type on consumers' preference for robot services, as well as the mediating role of risk aversion in this interaction effect.
Design/methodology/approach
Experiment 1 is a field experiment with service type being the independent variable. The participants were divided into two groups based on the services they received (diagnostic dental services vs. hotel room services). 93 consumers participated voluntarily in the blind experiment and were asked if they would choose to allow a robot to perform the focal services. Experiment 2 employs a 2 × 2 factorial design: personal fitness trainer services at the gym vs wait staff services in a casual dining restaurant × higher- vs lower-social class, with 196 participants.
Findings
Results from the two experiments show that participants in the higher-social classes were more willing than participants in the lower-social classes to choose robot services in credence-based service settings. More significantly, risk aversion mediated the interaction effect of social class and service type on participants' preference for robot services.
Originality/value
Based on the credence-experience typology, this research is the first to discuss the weight of social class in consumer decision-making regarding preference for different types of robot services. Furthermore, by extending risk aversion to the robot services field, the current research sheds new light on this underlying mechanism that can inform future studies.