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The purpose of this study is to develop a scale to measure coronavirus shopping anxiety. Numerous studies have developed a scale for measuring coronavirus anxiety and fear, notably absent is a concerted effort to review and assess the impact of coronavirus on the shopping anxiety of consumers. This scale fulfills this gap.

The steps taken for checking the various psychometrics of the scale include item generation, followed by exploratory factor analysis (EFA) through SPSS and confirmatory factor analysis through AMOS. The data were collected from over 208 respondents.

This study resulted in the development of a nine-item scale with robust psychometric properties. The scale resulted in highlighting two factors related to anxiety: in-store shopping anxiety and online shopping anxiety.

The scale developed has the desirable reliable and valid properties that could be used by aspiring researchers.

The scale developed highlighted that the restrictions in shopping impact the mental health and psychology of consumers. The scale resulted in analyzing the factors related to shopping anxiety, which could give top management a perspective and vision to look into the minds of the consumer's shopping anxiety behaviors.

Companies, firms, health professionals and marketers could use this scale to investigate the various shopping anxiety perceptions among consumers in society.

This research fills the gap by developing a first nine-item scale based on the qualitative research and quantitative assessment for measuring shopping anxiety caused due to the pandemic.

本研究擬設計一個等級表、以量度新型冠狀病毒肺炎肆虐期間之購物焦慮和不安。至目前為止,已有很多研究成功設計等級表、以量度人們對新型冠狀病毒肺炎的焦慮和恐懼。唯就學術研究而言,顯然缺乏協同一致的努力、去仔細審核和評估新型冠狀病毒肺炎對消費者購物焦慮的影響。本研究擬設計一個有關的等級表,以填補這個研究缺口。

研究人員檢查其設計之等級表的各個心理測量學時所採用的步驟包括:項目生成,以及透過統計產品與服務解決方案軟件 (SPSS) 而進行的探索性因素分析、和透過AMOS而進行的驗證性因素分析。數據取自208名以上的受訪者。

本研究成功設計了一個具有嚴格心理測量特性的九項目等級表。這個等級表、使人注意到與焦慮相關的兩個因素,就是:店內購物的焦慮和網絡購物的焦慮。

本研究透過定性研究和定量評估、設計了首個九項目等級表、來量度大流行病導致的購物焦慮; 就此而言,本研究填補了有關的研究缺口。

Long sales periods (i.e. Christmas time, Black Friday, etc.) and the risk of contagion while shopping (i.e. during pandemics like COVID-19) showed the extent to which crowded shopping environments have negative effects on consumers’ behavior. Hence, using terror management theory (TMT) and stimulus–organism–response (S–O–R) approach, the authors aims to develop a new model to investigate the effect of crowd-checking technology on shopping anxiety, the perceived value of shopping experience and willingness to pay.

Using a cross-sectional research design and with a help of an independent research company, the authors collected 1,000 valid responses from individuals residing in the UK.

Results showed that crowd-checking technology cues reduce shopping anxiety, improve value perceptions and increase willingness to pay. In addition, the efficacy of technology in reducing shopping anxiety is moderated by customers’ shopping orientation.

To the best of the authors’ knowledge, this research is the first one investigating crowd monitoring systems used at the initial stage of consumers’ journey to show the number of consumers in-store in real-time. It contributes to the literature on technology applications in retailing by providing evidence that technology cues reduce shopping anxiety, which in turn enhances customer-perceived value from the shopping experience and increases the willingness to pay in stores with embedded crowd-checker technology. The study also extends the application of TMT in a new context.

Los largos periodos de rebajas (ej. Navidades, Black Friday, etc.) y el riesgo de contagio durante las compras (ej. durante pandemias como la COVID-19) mostraron hasta qué punto los entornos de compras abarrotados tienen efectos negativos en el comportamiento de los consumidores. Utilizando la Teoría de la Gestión del Terror (TMT) y el enfoque Estímulo-Organismo-Respuesta (S-O-R), desarrollamos un nuevo modelo para investigar el efecto de la tecnología de control de multitudes sobre la ansiedad en las compras, el valor percibido de la experiencia de compra y la disposición a pagar.

Utilizando un diseño de investigación transversal y con la ayuda de una empresa de investigación independiente, recogimos 1.000 respuestas válidas de personas residentes en el Reino Unido.

Los resultados mostraron que las señales de la tecnología de comprobación de multitudes reducen la ansiedad en las compras, mejoran la percepción del valor y aumentan la disposición a pagar. Además, la eficacia de la tecnología en la reducción de la ansiedad de compra está moderada por la orientación de compra de los clientes.

Esta investigación es la primera que estudia los sistemas de seguimiento de multitudes utilizados en la fase inicial del viaje de los consumidores para mostrar el número de consumidores en la tienda en tiempo real. Contribuye a la literatura sobre aplicaciones tecnológicas en el comercio minorista aportando pruebas de que las señales tecnológicas reducen la ansiedad de compra, lo que a su vez mejora el valor percibido por el cliente de la experiencia de compra y aumenta la disposición a pagar en tiendas con tecnología de control de multitudes integrada. El estudio también amplía la aplicación de la Teoría de la Gestión del Terror en un nuevo contexto.

漫长的销售期（即圣诞节时间、黑色星期五等）和购物时的传染风险（即在COVID-19等大流行病期间）显示了拥挤的购物环境对消费者行为的负面影响程度。 因此, 利用恐怖管理理论（TMT）和刺激-组织-反应（S-O-R）方法, 我们建立了一个新的模型来研究人群检查技术对购物焦虑、购物体验的感知价值和支付意愿的影响。

在一家独立研究公司的帮助下, 我们采用横断面研究设计, 从居住在英国的个人中收集了1000份有效的答复。

结果显示, 人群检查技术提示减少了购物焦虑, 改善了价值认知, 并提高了支付意愿。此外, 技术在减少购物焦虑方面的功效受到顾客购物取向的调节。

这项研究是第一个调查在消费者旅程的初始阶段使用的人群监测系统, 以实时显示店内消费者的数量。它为零售业技术应用的文献做出了贡献, 提供了技术线索减少购物焦虑的证据, 这反过来又提高了顾客从购物体验中感知到的价值, 并增加了在有嵌入式人群检查器技术的商店中的支付意愿。该研究还扩展了恐怖管理理论在新环境中的应用。

The previous studies examining the role of subjective norm (SN), online shopping anxiety (ANX) and perceived playfulness (PPL) in predicting the consumer's adoption of online shopping yielded fragmented and inconsistent findings. Also, a high proportion of these findings assessing the regarded behaviour of consumers in the West cannot be directly applied to a cross‐cultural context. The purpose of this paper is to investigate the relationships between these variables and the variables of technology acceptance model (TAM) associated with customer's online shopping intentions in an international environment.

The research model reflecting the effects of SN, ANX and PPL on TAM constructs has been proposed. In total, 278 cases were gathered from online shoppers through a web‐based survey. Structural equation modelling was used to evaluate the proposed research model in terms of path significance, overall model fit and explanatory power.

It was found that PPL had positive direct effects on both perceived ease of use of online shopping (PEOU) and behavioural intentions to shop online (BI). Nevertheless, SN and ANX appeared to exert significant positive and negative influences respectfully on only PEOU.

The study findings were obtained from the single snapshot research, and the small dataset covering only actual online shoppers. Therefore, the future research should carry a longitudinal nature to show the temporal change effects and remedy the possibility of self‐selection bias with a broader research sample.

The paper provides additional insights for retailers and researchers into the effects of SN, ANX and PPL on online shopping intentions of Turkish consumers, which could be used in formulating online marketing strategies and considering future research directions.

The proper identification of consumers' risk perception, fear and panic behaviour can help managers to limit consumers' irresponsible behaviour, develop safer shopping experiences and attract consumers to physical stores. Indeed, the risk of contagion might result in shopping anxiety and limit consumers' propensity to visit the physical stores. This chapter aims at supporting retailers by providing a deep understanding of how the uncertainty and risk perceptions coming from emergency awareness impacts consumers' behaviour. Attention is solicited towards new retail strategies and practices to mitigate these consequences.

Few studies have investigated how anxiety operates within the Unified Theory of Acceptance and Use of Technology (UTAUT) Framework. Consequently, this investigation explores the influence of anxiety on the customer adoption of online shopping based on the UTAUT.

The UTAUT's framework was extended by proposing new casual pathways between anxiety and its existing constructs (e.g. effort expectancy, performance expectancy and behavioural intentions) within the contingencies of age, gender and experience. The Partial Least Squares (PLS) technique was employed to evaluate the statistical significance of the proposed pathways by analysing 483 sets of self-administrated survey responses.

The results indicate that anxiety simultaneously exerts negative direct influences on performance expectancy, effort expectancy and behavioural intention constructs. While the moderating effects of age, gender and experience on the anxiety-intention link were found to be significant, there was no evidence suggesting that they moderate anxiety-performance expectancy and anxiety-effort expectancy relationships.

The limitations of the current study are inherent in its design and methodology, providing some directions for future research.

This study contributes to the theory by including anxiety in the UTAUT and applying it to the online shopping context. The evidence about the significance of anxiety, with contingencies regarding age, gender and experience, supplies practical implications for online marketing strategies.

This chapter provides an overview of the retail landscape during the pandemic, by showing facts and figures of consumers and Governments' containing measures in Europe. It further provides some guidelines and support for retailers to be more ready to react to the environmental changes, along five main areas: (1) rethinking the in-person experience, (2) enhancing digital channels for shopping, (3) investing in digital capabilities, (4) embracing agile and flexible approaches and (5) developing new retail business models. It finally concludes with a brief summary of the remaining chapters of the book.

The purpose of this paper is to identify the factors affecting consumers' online purchase intention and to explore whether there was any significant difference between the path coefficients for males and females.

Data were collected by distributing questionnaires to 668 Indonesian consumers who were actively using the internet. The data were analyzed using partial least squares structural equation modeling (PLS-SEM) and multi-group analysis (MGA) in SmartPLS 3.0 software.

Results show that performance expectancy, effort expectancy and personal innovativeness are three influential factors and have a higher path coefficient in both the male and female groups. Anxiety shows a negative and significant relationship with online purchase intention for female consumers than for male consumers. Furthermore, the results of MGA analysis indicate that most factor coefficients in the determinants of online purchase intentions are not significantly different between males and females.

These results help the web retailers to consider the important factors in their strategies when they make strategic decisions as key factors affecting online buying intention. Besides this, the strong relationship between anxiety and intention for females has important implications for managers and designers should pay attention to this factor when designing the content on their business website.

Even though several marketing scholars discuss the factors influencing online shopping behavior, a few studies have shown the role of anxiety and personal innovativeness and their effect on online purchasing that fitted as supplements into the Unified Theory of Acceptance and Use of Technology (UTAUT). In addition, so far, no studies have effectively made a comparative analysis across gender, i.e. are personal and UTAUT factors in the determinants of online purchase intention significantly different across gender?