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The potential growth in cryptocurrencies has raised serious ethical and religious issues leading to a new investment rethinking. This paper aims to identify the influence of religiosity on cryptocurrency acceptance through an extended technology acceptance model (TAM) model.

In the first phase, this research develops a conceptual model that extends the theory of the TAM by integrating the religiosity component. In the second phase, the proposed model is tested using search volume queries in daily frequencies from 01/01/2018 to 31/12/2022 and structural equation modeling (SEM).

The empirical results demonstrate a significant positive effect of religiosity on the intention to use cryptocurrency, the users' perceived usefulness (PU) and ease of use (PEOU). Besides, the authors note that PEOU positively influences the intention. Furthermore, religiosity indirectly affects the intention through the PEOU and positively impacts the intention through the PU. In the same way, PEOU has a considerable indirect effect on the intention through PU.

This study has practical and theoretical contributions by providing insights into the cryptocurrency acceptance factors. In other words, it contributes to the literature by extending TAM models. Practically, it helps managers determine factors affecting the intention to use cryptocurrencies. Therefore, they can adjust their industry according to the suitable characteristics for creating successful projects.

Identifying the effect of religiosity on cryptocurrency users' choices and decisions has a social added value as it provides an understanding of the evolution of psychological variants.

The findings emphasize the importance of integrating big data to analyze users' attitudes. Besides, most studies on cryptocurrency acceptance are investigated based on one kind of religion, such as Christianity or Islam. Nevertheless, this paper integrates the effect of five types of faith on the users' intentions.

This study examines herd behavior in the cryptocurrency market at the aggregate level and the determinants of herd behavior, such as asymmetric market returns, the coronavirus disease 2019 (COVID-19) pandemic, 2021 cryptocurrency's bear market and the network effect.

The authors applied the Google Search Volume Index (GSVI) as a proxy for the network effect. Since investors who are interested in a particular issue have a common interest, they tend to perform searches using the same keywords in Google and are on the same network. The authors also investigated the daily returns of cryptocurrencies, which are in the top 100 market capitalizations from 2017 to 2022. The authors also examine the association between return dispersion and portfolio return based on aggregate market herding model and employ interactions between herding determinants such as, market direction, market trend, COVID-19 and network effect.

The empirical results indicate that herding behavior in the cryptocurrency market is significantly captured when the market returns of cryptocurrency tend to decline and when the network effect of investors tends to expand (e.g. such as during the COVID-19 pandemic or 2021 Bitcoin crash). However, the results confirm anti-herd behavior in cryptocurrency during the COVID-19 pandemic or 2021 Bitcoin crash, regardless of the network effect.

These findings help investors in the cryptocurrency market make more rational decisions based on their determinants since cryptocurrency is an alternative investment for investors' asset allocation. As imitating trades lead to return comovement, herd behavior in the cryptocurrency has a direct impact on the effectiveness of portfolio diversification. Hence, market participants or investors should consider herd behavior and its underlying factors to fully maximize the benefits of asset allocation, especially during the period of market uncertainty.

Most previous studies have focused on herd behavior in the stock market. Although some researchers have recently begun studying herd behavior in the cryptocurrency market, the empirical results are inconclusive due to an incorrectly specified model or unclear determinants.

Drawing on the literature on brand–consumer relations in an attempt to apply the concept of brand love to a city tourism destination, this paper aims to explore the antecedents and consequences of city brand love.

Based on quantitative research and cluster sampling, study data was collected from 330 international tourists who visited six Iran cities. The research model is tested using partial least square structural equation modeling.

According to the results, city brand attractiveness, city brand identification and memorable city brand experience are the antecedents of city brand love. Moreover, the city brand attractiveness, both directly and indirectly through memorable experiences and identification with the city brand, is one of the antecedents of city brand love. Finally, the results suggest that word of mouth and revisit intention are major behavioral outcomes of city brand love.

By providing a validated conceptual model that traces the antecedents and consequences of city brand love, this study attempts to answer prior calls for examination from the viewpoint of city tourism scholars.

本研究基于定量研究和整群抽样, 研究数据来自访问伊朗六个城市的330名国际游客。研究采用偏最小二乘结构方程模型对研究模型进行了检验。

借鉴品牌-消费者关系的相关文献, 本研究试图将品牌爱的概念应用于一个城市旅游目的地, 探讨城市品牌喜爱的前因和后果。

结果表明, 城市品牌吸引力、城市品牌辨识度和令人难忘的城市品牌体验是城市品牌喜爱的前因。城市品牌吸引力通过城市品牌直接或间接通过难忘体验和认同产生, 是城市喜爱的前因。最后, 研究结果表明, 口碑和重访意愿是城市品牌喜爱的主要行为结果。

通过提供一个经过验证的概念模型, 追溯城市品牌喜爱的前因后果, 本研究试图从城市旅游学者的角度回答先前检验的呼吁。

A partir de una investigación cuantitativa y muestreo por conglomerados, los datos del estudio se recogieron de 330 turistas internacionales que visitaron seis ciudades iraníes. El modelo conceptual se analizó mediante un modelo de ecuaciones estructurales de mínimos cuadrados parciales (PLS).

Basándose en la literatura sobre las relaciones entre marca y consumidor para aplicar el concepto de amor de marca a una ciudad como destino turístico, la presente investigación analiza los antecedentes y las consecuencias del amor de marca de ciudad.

Conforme a los resultados, el atractivo de la marca ciudad, la identificación con la marca ciudad y la experiencia memorable con la marca ciudad son los antecedentes del amor a la marca ciudad. Adicionalmente, el atractivo de la marca ciudad, tanto directa como indirectamente a través de las experiencias memorables y la identificación con la marca ciudad, es uno de los antecedentes del amor por la marca ciudad. Finalmente, los resultados sugieren que la comunicación boca-oído y la intención de volver a visitar la ciudad son los principales resultados comportamentales del amor de marca de ciudad.

Al proporcionar un modelo conceptual validado que analiza los antecedentes y las consecuencias del amor de marca de ciudad, este estudio trata de responder a las llamadas para su estudio desde la óptica del turismo urbano.