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The efficiency of each of an organization’s individual workers determines its effectiveness. The study aims to explore the relationship between human resource management (HRM) practices and organizational effectiveness with employee performance as a mediating variable.

Data were collected from 800 police officers in the Greater Accra and Tema regions. The data were supported by the hypothesized relationship. Construct reliability and validity was established through confirmatory factor analysis. The proposed model and hypotheses were evaluated using structural equation modeling.

The results show that career planning and employee performance were significantly related. Self-managed teams and employee performance were shown to be nonsignificantly related. Similarly, performance management and employee performance were shown to be nonsignificantly related. Employee performance significantly influenced organizational effectiveness. The results further indicate that employee performance mediates the relationship between HRM practices and organizational effectiveness.

The generalizability of the findings will be constrained due to the research’s police service focus and cross-sectional data.

The study’s findings will serve as valuable pointers for the police administration in the adoption, design and implementation of well-articulated and proactive HRM practices to improve the abilities, skills, knowledge and motivation of officer’s to inordinately enhance the effectiveness of the service.

By evidencing empirically that employee performance mediates the relationship between HRM practice and organizational effectiveness, the study extends the literature.

This study aims to investigate tourists’ attitudes and intentions regarding the usage of Chat Generative Pre-trained Transformer (ChatGPT) for accessing tourism information. Furthermore, by integrating the perceived risks associated with ChatGPT and the theory of planned behavior (TPB), this research examines the impact of three types of perceived risks, such as privacy risk, accuracy risk and overreliance risk, on tourists’ behavioral intention.

Data were gathered for this study by using two online survey platforms, thus resulting in a sample of 536 respondents. The online survey questionnaire assessed tourists’ perceived risks, attitude, subjective norm, perceived behavioral control, behavioral intention and demographic information related to their usage of ChatGPT.

The structural equation modeling analysis revealed that tourists express concerns about the associated risks of using ChatGPT to search for tourism information, specifically privacy risk, accuracy risk and overreliance risk. It was found that perceived risks significantly influence tourists’ attitude and intention toward the usage of ChatGPT, which is consistent with the hypotheses proposed in previous literature regarding tourists’ perceived risks of ChatGPT.

This work is a preliminary empirical study that assesses tourists’ behavioral intention toward the use of ChatGPT in the field of tourism. Previous research has remained at the hypothetical level, speculating about the impact of ChatGPT on the tourism industry. This study investigates the behavioral intention of tourists who have used ChatGPT to search for travel information. Furthermore, this study provides evidence based on the outcome of this research and offers theoretical foundations for the sustainable development of generative AI in the tourism domain. This study has limitations in that it primarily focused on exploring the risks associated with ChatGPT and did not extensively investigate its range of benefits.

First, to address privacy concerns that pose significant challenges for chatbots various measures, such as data encryption, secure storage and obtaining user consent, are crucial. Second, despite concerns and uncertainties, the introduction of ChatGPT holds promising prospects for the tourism industry. By offering personalized recommendations and enhancing operational efficiency, ChatGPT has the potential to revolutionize travel experiences. Finally, recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises.

Recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises. As their interest in adopting ChatGPT grows, increased investments and resources will be dedicated to developing and implementing ChatGPT solutions. This enhancement may involve creating customized ChatGPT solutions and actively engaging in training and development programs to empower employees in effectively using ChatGPT’s capabilities. Such initiatives can contribute to improved customer service and overall operations within the tourism industry.

This study integrates TPB with perceived risks in ChatGPT, thus providing empirical evidence. It highlights the importance of considering perceived risks in tourists’ intentions and contributes to the sustainable development of generative AI in tourism. As such, it provides valuable insights for practitioners and policymakers.

本研究旨在调查游客对使用ChatGPT获取旅游信息的态度和意向。此外, 通过将与ChatGPT相关的感知风险与计划行为理论（TPB）相结合, 本研究探讨了三种感知风险（隐私风险、准确性风险和过度依赖风险）对游客行为意向的影响。

本研究通过两个在线调查平台收集了536名受访者的数据。在线调查问卷评估了游客对ChatGPT使用的感知风险、态度、主观规范、感知行为控制、行为意向以及与其使用ChatGPT相关的人口统计信息。

结构方程建模分析显示, 游客对使用ChatGPT搜索旅游信息的相关风险表示关切, 特别是隐私风险、准确性风险和过度依赖风险。发现感知风险显著影响游客对使用ChatGPT的态度和意向, 与先前有关游客对ChatGPT感知风险的文献中提出的假设一致。

本研究将TPB与ChatGPT中的感知风险相结合, 提供了实证证据。它强调了在考虑游客意向时考虑感知风险的重要性, 并为旅游中生成AI的可持续发展提供了贡献。因此, 它为从业者和政策制定者提供了宝贵的见解。

The purpose of this study is to place the antecedents and consequences of brand hate in the context of negative consumer–brand relationship in the telecommunication industry. It provides a response to the existing gap in the research on brand hate in consumer behavior in service brands.

A survey-based data was modeled after theory that aims to apply concepts to the telecommunications industry. With a solid model grounded and context-adapted, a mediation analysis of the role of brand hate in negative antecedents and consequences toward brands was performed.

Brand hate was found to mediate all the negative relationships proposed, while showing to be especially significant in mediating negative word of mouth. This model appropriately fits the services' marketing brand and revealed new insights into the function of brand hate in negative relationships that are specific to service marketing consumer brands.

Branding theory may benefit from deeper insights into the negative side of consumer–brand relationships. A broader illustration of its constituents in different industries and the recovery of the management approach to these circumstances bring innovation and a richer understanding, specially to the role of brand hate in the mediation context as seen in the literature (Hegner et al., 2017; Zarantonello et al., 2016)

Managerial implications include assessing brands in analyzing and relating to different emotions and concepts from customers, allowing to prioritize and mapping the customer relationship touchpoints.

The present study presents a first insight of brand hate in the context of the service industry of telecommunications in southern Europe while testing brand hate as a mediator involving negative predictors leading to negative outcomes in consumer–brand relationships.

The purpose of this paper is to explore the concept of brand hate in detail which is the extreme negative emotion toward brands, by giving a comprehensive explanation concerning how brand hate evolves in consumers. More specifically, antecedents of brand hate are empirically assessed in this study.

This study used primary data from 250 fast food brand consumers in Pakistan. Multiple regression analysis in SPSS was used to test the hypotheses related to the antecedents of brand hate.

Results indicate that brand hate is instigated by five antecedents, which are negative past experience, symbolic incongruity, poor relationship quality, ideological incompatibility and rumor, with rumor being the biggest instigator.

Antecedents of brand hate are assessed theoretically and empirically in this study which helps in understanding the true form of brand hate. More specifically, poor relationship quality and rumor are presented as the antecedents of brand hate according to the recommendations of the theory of hate.

El objetivo de este trabajo es explorar en detalle el concepto de odio a la marca, que es la emoción negativa extrema hacia las marcas, dando una explicación completa sobre cómo evoluciona el odio a la marca en los consumidores. Más específicamente, en este estudio se evalúan empíricamente los antecedentes de odio a la marca.

Este estudio utilizó datos primarios de 250 consumidores de marcas de comida rápida en Pakistán. El análisis de regresión múltiple en SPSS se utiliza para probar las hipótesis relacionadas con los antecedentes del odio a la marca.

Los resultados indican que el odio a la marca viene motivado por cinco antecedentes que son una experiencia pasada negativa, la incongruencia simbólica, la mala calidad de la relación, la incompatibilidad ideológica y el rumor negativo, siendo el rumor el mayor antecedente.

En este estudio se evalúan teórica y empíricamente los antecedentes del odio a la marca, lo que ayuda a comprender la verdadera forma de odio a la marca. Más específicamente, la mala calidad de la relación y el rumor se presentan como los antecedentes del odio a la marca de acuerdo con las recomendaciones de la teoría del odio.

Odio a la marca, gestión de marca, relación con el cliente

Trabajo de investigación