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This study aims to provide a comprehensive framework for the study of indoor air quality (IAQ) in hospitality premises. The goal is to identify the drivers of air pollution, both at the exogenous and endogenous level, to generate insights for facility managers.

The complexity of hospitality premises requires an integrated approach to properly investigate IAQ. The authors develop an overarching framework encompassing a monitoring method, based on real-time sensors, a technological standard and a set of statistical analyses for the assessment of both IAQ performance and drivers, based on correlation analyses, analysis of variance and multivariate regressions.

The findings suggest that the main drivers of IAQ differ depending on the area monitored: areas in contact with the outdoors or with high ventilation rates, such as halls, are affected by outdoor air quality more than guestrooms or fitness areas, where human activities are the main sources of contamination.

The results suggest that the integration of IAQ indicators into control dashboards would support management decisions, both in defining protocols to support resilience of the sector in a postpandemic world and in directing investments on the premises. This would also address guests’ pressing demands for a broader approach to cleanliness and safety and support their satisfaction and intention to return.

To the best of the authors’ knowledge, this is the first study developing a comprehensive framework to systematically address IAQ and its drivers, based on a standard and real-time monitoring. The framework has been applied across the longest period of monitoring for a hospitality premise thus far and over an entire hotel facility.

While the proliferation of chatbots allows companies to connect with their customers in a cost- and time-efficient manner, it is not deniable that they quite often fail expectations and may even pose negative impacts on user experience. The purpose of the study is to empirically explore the negative user experience with chatbots and understand how users respond to service failure caused by chatbots.

This study adopts a qualitative research method and conducts thematic analysis of 23 interview transcripts.

It identifies common areas where chatbots fail user expectations and cause service failure. These include their inability to comprehend and provide information, over-enquiry of personal or sensitive information, fake humanity, poor integration with human agents, and their inability to solve complicated user queries. Negative emotions such as anger, frustration, betrayal and passive defeat were experienced by participants when they interacted with chatbots. We also reveal four coping strategies users employ following a chatbots-induced failure: expressive support seeking, active coping, acceptance and withdrawal.

Our study extends our current understanding of human-chatbot interactions and provides significant managerial implications. It highlights the importance for organizations to re-consider the role of their chatbots in user interactions and balance the use of human and chatbots in the service context, particularly in customer service interactions that involve resolving complex issues or handling non-routinized tasks.

The purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.

The research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.

Findings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.

The study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.

The study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.

The purpose of this paper is to examine whether income diversification moderates the relationship between human capital and bank performance.

The study uses a sample of 53 banks and panel data for the years 2010–2018. The hypotheses are tested through hierarchical multiple regression and the choice between fixed effect and random effect estimation is based on the results of the Hausman test.

The study finds that human capital and income diversification significantly influence bank performance; however, the direction of the causality varies. While human capital has a positive effect, income diversification has a negative effect. Additionally, the interaction term has a negative and significant effect on bank performance, inferring that income diversification has an antagonistic effect on the human capital and bank performance relationship. For the control variable, liquidity and asset quality negatively affects bank performance while capitalization has a positive effect.

Human capital was measured as human capital efficiency (HCE), which is a quantitative measure of human capital, hence future studies can use qualitative measures. Also, the study focused on commercial banks in East Africa, future researcher may possibly consider other regions and industries, which would shed more insights.

The results of this paper provide valuable insights. Bank managers can get a better understanding of the impact of human capital on bank performance, and the need to invest more in human capital development. Further, the study cautions bank managers that engaging in non-lending activities might destroy the economic value of human capital and ultimately lower performance. The study also recommends that policymakers should address the obstacles to banks' income diversification, for instance relaxing regulations restricting diversification; this might enable banks to leverage related financial service activities for optimal utilization of human capital and improve banks' profitability.

While a good number of previous studies investigated the direct effect of human capital and income diversification on the performance of banks, this study examines the moderating role of income diversification on the relationship between human capital and performance of banks in East Africa.

This study aims to investigate affective commitment (ACS) and leader–member exchange (LMX) as resources mitigating against burnout and counterproductive work behaviours (CWBs) in the hospitality sector, and examines the effect of zero-hour contracts on these relationships.

Through conservation of resources theory, this study tests a framework exploring ACS and LMX as resources against burnout and CWBs, using a data set of 260 frontline hospitality employees working in Ireland, considering zero-hour contracts as a moderator.

Findings indicate that burnout is associated with CWB, and ACS and LMX are resources against burnout and CWB. Furthermore, zero-hour contract perceptions moderate the resource effect of ACS and LMX. Yet, zero-hour contract perceptions do not moderate the relationship between burnout and CWB, indicating these employees may be caught in a resource-loss spiral.

This study proposes mechanisms to enhance resources against burnout, with specific strategies to support young employees who are more likely to experience burnout. As findings suggest unique negative impacts of burnout for employees on zero-hour contracts, this paper also provides guidance to support these vulnerable employees.

This study provides unique insights into hospitality employees’ ability to harness resources against burnout and CWB consequences of burnout. The results indicate that perceived precarity does not moderate these relationships, suggesting that burnout affects this cohort differently.

This study aims to achieve three objectives: to explore the perception of consumers about supersized foods (in both pre- and post-consumption scenarios), to identify why consumers prefer supersized options over other available options and to determine the types of situations that push consumers to make such decisions.

This qualitative study uses the triangulation of projective methods, coupled with semi-structured interviews with 120 participants. The data was collected from major cities of Pakistan, using a convenient sample of 25 semi-structured interviews, 35 narratives and 60 sentence completions and constructions analyzed by performing thematic analysis.

The findings indicate that the antecedents of the purchase of supersized food include price/quantity trade-off, hunger, liking and the social setting of consumption. Such purchase decisions also lead to consequences such as saving after purchase, health concerns, food waste, guilt and satisfaction. The findings also reveal the factors that play a dual role of an antecedent and a consequence: sharing, social status, quantity and leisure time.

The knowledge of factors that make consumers select supersized foods can help marketers design deals that can control overconsumption and food waste. Instead of only focusing on the motivations behind the purchase of supersized foods, the authors also discuss the aspects of food purchase and consumption.

This study advances the literature on purchase decision, consumption and post-consumption of supersized foods, providing insights for food retailers, regulators and policymakers.

¿Cuándo y por qué los consumidores eligen alimentos de gran tamaño?

Este estudio busca alcanzar tres objetivos: 1) explorar la percepción de los consumidores sobre los alimentos de gran tamaño (tanto en escenarios previos como posteriores al consumo), 2) identificar por qué los consumidores prefieren las opciones de gran tamaño sobre otras opciones disponibles, y 3) determinar qué tipo de situaciones empujan a los consumidores a tomar tales decisiones.

Este estudio cualitativo emplea la triangulación de métodos proyectivos, junto con entrevistas semiestructuradas con 120 participantes. Los datos se recopilaron en las principales ciudades de Pakistán, utilizando una muestra conveniente de 25 entrevistas semiestructuradas, 35 narraciones y 60 terminaciones y construcciones de frases analizadas mediante la realización de un análisis temático.

Los resultados indican que los antecedentes de la compra de alimentos de gran tamaño incluyen la relación precio/cantidad, el hambre, el gusto y el entorno social del consumo. Estas decisiones de compra también conllevan consecuencias como el ahorro después de la compra, la preocupación por la salud, el desperdicio de alimentos, el sentimiento de culpa y la satisfacción. Los resultados también revelan los factores que desempeñan un doble papel de antecedente y consecuencia: compartir, estatus social, cantidad y tiempo de ocio.

El conocimiento de los factores que hacen que los consumidores seleccionen alimentos de gran tamaño puede ayudar a los responsables de marketing a diseñar ofertas que puedan controlar el consumo excesivo y el desperdicio de alimentos. En lugar de centrarse únicamente en las motivaciones que subyacen a la compra de alimentos de mayor tamaño, los autores también analizan los aspectos de la compra y el consumo de alimentos.

Este estudio supone un avance en la literatura sobre la decisión de compra, el consumo y el posconsumo de los alimentos de gran tamaño, proporcionando información a los minoristas de alimentos, a los reguladores y a los responsables políticos.

Gran tamaño, Alimentos de gran tamaño, Consumo de alimentos, Estudio cualitativo, Técnicas proyectivas

Investigación

消费者何时以及为何选择超大号食品？

本研究旨在实现三个目标。1）探索消费者对超大号食品的认知看法（在消费前和消费后的场景下）, 2）确定消费者为什么喜欢超大号食品而不是其他现有选择, 以及3）确定促使消费者做出这种决定的情况类型。

这项定性研究采用了投射方法中的的三角测量, 以及对120名参与者的半结构化访谈。这些数据是从巴基斯坦的主要城市收集的, 研究者使用了一个方便性样本, 其中包括25个半结构式访谈, 35个叙述, 以及60个句子的完成和结构。这些数据通过主题分析来进行解析。

研究结果表明, 购买超大号食品的前因包括价格/数量的权衡、饥饿感、喜好和消费的社会环境。这样的购买决定也导致了购买后的节省、健康问题、食物浪费、内疚和满足感等后果。研究结果还揭示了几个即是前因又是结果的双角色因素：分享、社会地位、数量和休闲时间。

了解促使消费者选择超大号食品的因素可以帮助营销人员设计能够控制过度消费和食品浪费的交易。作者不仅仅关注了购买超大号食品背后的动机, 还讨论了食品购买和消费的各个方面。

这项研究推进了关于超大食品的购买决策、消费和消费后的文献, 为食品零售商、监管者和政策制定者提供了见解。

关键词 超大, 超大食品, 食品消费, 定性研究, 投射技术

文章类型： 研究型论文

This paper strives to understand the role of resource orchestration (RO) in the rapid growth of high-tech small and medium-sized enterprises (SMEs).

Based on a comparative case study, RO is compared between a high-tech family firm and a high-tech non-family firm. To capture the complexity of RO, this study applies a longitudinal approach using a large volume of archival and interview data gathered over ten years.

The configuration of family-firm paradoxical growth-oriented RO emphasizes RO based on collectivism and responsibility, although relying on large-scale conforming normative control. In contrast, the configuration of non-family-firm growth-oriented RO emphasizes administrative-based delegation and management-supported value creation.

By suggesting ownership-based RO configurations, this study provides insights into how ownership types, i.e. family firms and non-family firms, affect RO in firms operating in complex and dynamic environments. These configurations explain how and why RO is arranged in a growth context.