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The purpose of this paper is to explore factors and their impacts influencing online grocery shopping intentions among customers in the post COVID-19 situation. Moreover, the study aims at evaluating the mediating roles of shopping habits during COVID-19 between perceived usefulness, perceived ease of use and post COVID-19 online grocery shopping intentions.

Based on a review of the literature and collection of 401 useable valid responses, the study was conducted through structured questionnaires applying personal interview technique. The subsequent analysis was conducted through partial least squares structural equation modeling (PLS-SEM) using Smart PLS 3.3.3.

The study findings revealed that perceived usefulness, perceived ease of use and shopping habits during COVID-19 have a significant influence on post COVID-19 online grocery shopping intentions. Also, the study has uncovered that perceived usefulness and perceived ease of use significantly influence shopping habits during COVID-19 among customers. Furthermore, the current study has revealed that hopping habit during COVID-19 significantly mediates the relationship between perceived usefulness, perceived ease of use and post COVID-19 online grocery shopping intentions.

The study findings have provided practical suggestions of developing and improving technological platforms to attract new customers for online grocery shopping. Further, the study suggests that online grocery retailers should apply adjusted pricing strategies using coupons and discount offers.

This paper investigates factors and its impacts on online grocery shopping intentions in post COVID-19 context. Therefore, the study uncovers the factors that add value to understanding customers' post COVID-19 online grocery shopping intentions by integrating perceived usefulness, perceived ease of use and shopping habits during COVID-19.

The purpose of this paper is to investigate the effects of online shopping experience and habit in relation to adjusted expectations for enhancing online repurchase intention.

The authors employed partial least square (PLS) as a technique used to analyze the measurement and structural models. Data for this research were collected from 240 Taiwanese online shoppers who had experienced online shopping at least four times.

The result of this study indicates that online shopping habit acts as a moderator of both customer satisfaction and adjusted expectations, whereas online shopping experience can be considered a key driver for customer satisfaction. Furthermore, the research findings confirm that customer satisfaction is a vital driver of adjusted expectations and online repurchase intention. Adjusted expectations do mediate the impact of online repurchase intention.

This paper highlights the effect of online shopping experience and online shopping habit on enhancing repurchase intention. The result implies that the acquisition of usage experience and spontaneous purchases not only leads to higher customer satisfaction and customer expectations, but also strengthens online repurchase intention. The use of self-report scales suggests the possibility of a common method bias. Future studies may further test the robustness of this study in the interplay of experience and habit to shed more light on their relative importance in explaining online repurchase intention.

This study extends expectancy-disconfirmation paradigm, especially in the context of online shopping, by emphasizing cognitive, affective, and behavioral change on the attitude-intention behavior of online shoppers.

Online shopping is expected to continue without slowing down because of the advantages that it presents to consumers in the digitalising world. This study aims to determine the factors regarding the social and environmental indicators and the demographical and economical factors that affect the online shopping tendencies of households in Turkey. The results of this research can be used to review the online shopping strategies by the decision-makers.

In this study, the cross-sectional data acquired from the Household Budget Research survey, which has been conducted by the Turkish Statistical Institute between 2015 and 2018, is used. In this data set consisting of 11,491 in 2015, 12,096 in 2016, 12,166 in 2017 and 11,828 in 2018, a total of 47,581 data from the households that are 15-year-old and older are used. To determine the factors affecting the online shopping behaviour of households, binary logistic regression and binary probit regression analyses are applied. As a result of these analyses, it has been decided that the most suitable model is the binary probit regression model.

According to the analysis results, it has been detected that factors such as educational status, age, marital status, employment status, income, life assurance ownership, credit card usage, automobile ownership and the year of the survey affect the online shopping behaviour of households.

In this study, factors affecting the tendency to do online shopping, which has gained big importance particularly with the COVID-19 pandemic, are determined. In Turkey, households’ tendency to do online shopping is affected by the demographical and economical factors and by the factors related to the social and environmental indicators. Determination of the effects of these factors has been a guide for the decision-makers and policymakers in explaining the tendency to shop online and creating a competitive advantage.

In this study, data consisting of a total of 47,581 observations, which has acquired from the Household Budget Research survey conducted by the Turkish Statistical Institute between 2015 and 2018, are used by applying a weighting process, and no study that is as comprehensive and inclusive as this study has been found in the literature, e-commerce that has become prevalent with the help of technological progress and changing habits in the past years is continuing to become prevalent more increasingly particularly after COVID-19 pandemic. Therefore, the value of this study underlies its contribution to e-commerce awareness.

Despite the increasing utilization of webpages for the purposes of information seeking, customers’ concerns have become a crucial impediment for online shopping. The purpose of this paper is to examine the influence of the effectiveness of web assurance seals services (WASS) and customers’ concerns on customer’s willingness to book hotels through perceived website trust and perceived value.

A questionnaire was administrated to measure the study variables. Using partial least squares–structural equation modeling approach to analyze the data collected from 860 users of online hotel websites.

The results indicate that WASS influence positively on perceived website trust and negatively on consumers’ concerns. As well as, perceived value and trust play a mediating role in the link between WASS and consumers’ concerns and their intentions. Finally, perceived website trust and perceived value have greater effect on intention to book hotel for low-habit consumers.

This study ignored the cross-culture issue as it concentrates on the customers from developing countries, so further research may need to compare between two or more than two samples from different societies that could give a significant insights. Second, this study stresses on the WASS to predict customers booking intentions that indicates significant results, so further research may need to examine the role of online reviews as a predictor of customers purchase decision as well.

To the authors’ best knowledge, this is the first empirical research that investigates and examines the influence of the effectiveness of WASS and consumers’ concerns on consumers’ intentions through perceived value and trust. This research also investigates the moderating role of habit in the link between perceived website, perceived value and consumers’ intentions.

This study proposes a hierarchic segmentation that develops a tree-based classification model and classifies the cases into groups. This allows for the definition of e-commerce user profiles for each of the groups. Additionally, it facilitates the development of actions to improve the adoption of the online channel that is in such high demand in the current pandemic COVID-19 context.

Regarding the created segments, two extreme segments stand out due to their marked differences and high volume. Segment 3 with 23% of the sample is the group with the most predisposition to use the online channel and is characterised by a high level of trust, more habitual use in comparison with other groups and the belief that its use implies high performance, which indicates they believe it to be useful, quick and helpful for more an effective shopping experience. The other extreme is found in segment 7. This group makes up 17.7% of the total and is the most reluctant to use the online channel. These users are characterised by the complete opposite: they have a low level of trust in this channel. However, the effort expectancy is low, i.e. they consider that the adoption of the online channel does not involve many difficulties in its learning and use. Nevertheless, they use it less regularly than the others.

Based on the conclusions reached in this study, in the current pandemic context in which consumer demand for online shopping channels for all types of products is on the rise, it is recommended that companies focus on the following aspects. It is essential to build trust with the user and show them the real benefits of e-commerce, how it would improve their life and why they should use it. Additionally, it is vital that the user perceives it as an easy procedure that does not require a significant learning curve. Other fundamental aspects would be to reduce any uncertainty the user might have about the online shopping process, to make it as easy as possible, and to design a simple, intuitive and user-friendly interface. It is also recommendable to manage data usage efficiently. To do so, the authors recommend asking the user for the least amount of information possible, offering a data protection policy and assuring them that their information will not be misused nor shared with third parties. All of this provides a series of facilities to modify the online shopping habits of users.

As in most of the research, this study presents a series of limitations that should be debated and that could open future lines of investigation. Firstly, regarding the sample used that was limited to two neighbouring countries with similar profiles a priori; it would be necessary to compare their possible cultural differences according to Hofstede's dimensions as well as increase the number of European countries being analysed to reach a more generalised conclusions. Secondly, the variables used are a combination of those derived from the UTAUT2 model and others suggested in the literature as decisive in technology adoption by users, in this sense other theories and variables could be incorporated to complete a more holistic model.

This work contributes in a general way to (1) analysing the intention to use e-commerce platforms from a set of antecedents previously defined by their importance, after a period of economic and social restrictions derived from the pandemic; (2) determination of customer segments from the classification made by the CHAID analysis; (3) characterisation of the previously defined segments through the successive divisions that were proposed in the analysis carried out.

Other fundamental aspects would be to reduce any uncertainty the user might have about the online shopping process to make it as easy as possible, and to design a simple, intuitive, and user-friendly interface. It is also recommended to manage data usage efficiently. To do so, the authors recommend asking the user for the least amount of information possible, offering a data protection policy, and assuring them that their information will not be misused or shared with third parties.

The results obtained have allowed us to establish predictive and explanatory models of the behaviour of the segments and profiles created, which will help companies to improve their relationships with online customers in the coming years.

本研究擬提出一個會發展基於樹的分類模型、以及會把案例歸入不同的類別的層次細分。這讓我們能為每個類別考慮到電子商務用戶輪廓的定義和解釋；這亦促進我們優化採用在線渠道的發展工作,而在線渠道於現時2019冠狀病毒病肆虐的情況下,實在供不應求。

就創設的細分而言,兩個極端的細分因其明顯的差別和大批量而顯得突出。佔樣本百分之二十三的細分3是擁有最大使用在線渠道傾向的細分,而細分3的特徵包括他們對在線渠道呈高信任度,比其他類別更習慣地使用,以及其相信使用在線渠道會帶來更高的績效,這表示他們相信使用在線渠道是有效的,是快捷的,是可幫助帶來成功的購物體驗的。另外的極端在細分7內發現。這類別佔整體的百分之十七點七,而他們是最不願意使用在線渠道的類別。這類別的特徵和前述的剛剛相反：他們對在線渠道的信任程度是低的,唯其努力期望是低的,也就是說,他們認為使用在線渠道是不會涉及很多在學習上或在實際應用上的困難。即使是這樣,他們較其他人卻較少使用在線渠道。

基於研究的結論,我們的建議是：於目前大流行肆虐期間,消費者對於以在線渠道網購各類商品的需求不斷增加,企業應聚焦以下的範疇：企業必須建立消費者對電子商務的信心,並為他們展示電子商務的真正好處；企業也必須使消費者明瞭電子商務如何能改善其生活,以及他們為何要使用電子商務。更重要的是使消費者覺得使用電子商務是輕而易舉的,又不涉及陡峭的學習曲線。凡此種種,就成為消費者改變其網上購物習慣的動力和誘因。至於其他基本的考慮,包括減輕消費者對使用電子商務的不確定情緒,使電子商務易於使用,以及設計一個簡易的、憑直覺能知曉的、方便使用的介面。另外,值得推薦的是、數據使用情況須有效地管理。為此,我們建議應儘量向使用者索取最低限度的資料,為他們提供資料保護政策,保證他們的資料不會被濫用或與第三者分享。

與其他大多數的研究一樣,本研究展現了一系列值得辯論的局限,而這些局限或許會開展未來研究的領域。首先,考慮到使用了一個局限於兩個以因及果演繹而成的、概況相似的相鄰國家為樣本,我們或許需要根據霍夫斯泰德文化維度理論對這兩個國家進行比較,以瞭解它們的文化差異；另外,為求能達致可普遍適用的結論,我們也需把被分析的歐洲國家的數目增加。其次,被使用的變數是兩組變數的組合,他們是從UTAUT2模型中取得的變數,以及在有關的文獻裡,就技術採用而言、使用者認為是重要的變數。就此而言,若其他的理論和變數能被包含其中,則達致的模型將會是一個更為整體的模型。

本研究就一般而言有以下的貢獻：(一) 、 在因大流行病而引起的經濟和社會限制實施時期後,研究人員分析人們如何從一套過去被認定是電子商務平台的重要前身而選擇使用電子商務平台,本研究對這方面的分析作出了貢獻；(二) 、本研究幫助確定從透過CHAID分析而來的分類中得到的顧客細分；(三) 、本研究透過進行連續分解、幫助歸納過去被認定的細分的特徵。

企業必須建立消費者對電子商務的信心,並為他們展示電子商務的真正好處；企業也必須使消費者明瞭電子商務如何能改善其生活,以及他們為何要使用電子商務。更重要的是使消費者覺得使用電子商務是輕而易舉的,又不涉及陡峭的學習曲線。凡此種種,就成為消費者改變其網上購物習慣的動力和誘因。至於其他基本的考慮,包括減輕消費者對使用電子商務的不確定情緒,使電子商務易於使用,以及設計一個簡易的、憑直覺能知曉的、方便使用的介面。另外,值得推薦的是、數據使用情況須有效地管理。為此,我們建議應儘量向使用者索取最低限度的資料,為他們提供資料保護政策,保證他們的資料不會被濫用或與第三者分享。

本研究所得的結果,讓我們可以建立多個模型、以預測並解說有關的市場部分的行為和被創建的消費者簡介,這會幫助企業改善它們今後與網上顧客的關係。

This chapter offers a preliminary investigation into the impact of the COVID-19 pandemic on consumer purchasing behaviour within the grocery retail industry and supports evidence that since the pandemic began at the end of 2019, there have been changes in the demands and behaviours of consumers (Donthu & Gustafsson, 2020). Previous research has reported that the pandemic resulted in retail consumers spending less and saving more (Jorda, Singh, & Taylor, 2020), as well as panic buying (Nazir, 2021), both of which initially contributed to the limited availability of goods. This preliminary study reports upon survey data collected from retail consumers and answers the question ‘What were the changes in consumer behaviour in the grocery sector as a result of the COVID-19 pandemic?’ Findings reveal that an increase in online shopping occurred more distinctly during the first of the UK’s lockdowns, which waned over time. Findings also reveal a lower shopping frequency, but higher shopping spends during lockdown, and that social distancing and discipline were key drivers of this behaviour change. Findings also reveal an intention to maintain a combination of new and old shopping behaviours and habits after lockdown, giving rise to the continuing importance of meeting consumers’ grocery needs online as well as in-store. This chapter further discusses the implications arising from the reported findings.

The purpose of this paper is to discuss the issues involved in understanding the buying behavior of Malaysian consumers, particularly in the online shopping context in relation to their lifestyles.

This paper provides a general review of the literature regarding the influence of lifestyles on consumer intentions to repurchase online.

The paper provides marketers with insights into how knowledge about lifestyle factors can be integrated into marketing and advertising strategies.

The results of this study will provide some ideas and practical suggestions which can be implemented particularly in online shopping in order to improve its continuance (i.e. customer retention strategies) as effective means of maintaining the subscriber base, market share and overall revenue of online businesses.

This paper delineates the importance of understanding consumer lifestyles and its effect on continuance intention that allows online marketers to predict prospective online shoppers' intention to repurchase more easily.

The COVID-19 pandemic has disrupted numerous businesses and upended the lives and shopping habits of most consumers. This study aims to examine the price sensitivity and the efficacy of online reviews during a pandemic crisis.

This study borrowed from the regulatory focus theory and heuristic-systematic model and used a unique longitudinal sample of 320,000 product/day observations from the jeans category, collected before and during the pandemic, to investigate how consumers’ online shopping behavior changed during the pandemic.

The results of several hierarchical linear modeling analyses revealed that during the pandemic consumers were less price-sensitive and more willing to pay price premiums for jeans. Furthermore, consumers were more (less) likely to be influenced by online review volume than valence. Finally, the results of a post-hoc study highlighted the potential role of regulatory focus as the underlying psychological mechanism explaining the effect of the pandemic.

This research contributes to the digital marketing and regulatory-focus literatures by showing that the COVID-19 pandemic may have triggered a prevention-focus state of mind and prompted consumers to place a greater value on online review volume than valence when shopping online (for jeans). Furthermore, this paper contributes to the pricing literature by offering further evidence that the pandemic may have inclined consumers to be less price-sensitive.

This study aims to investigate the factors that influence the sustainable online purchase intentions of consumers during the COVID-19 pandemic. This study also examines the role of relational benefit and site commitment in the study model.

Data were obtained from a survey of 356 Bangladeshi consumers who were voluntarily using the internet during the COVID-19 pandemic. Data were analyzed using partial least square structural equation modelling with Smart PLS 3.0 and SPSS V25 tools.

The results show a positive and significant relationship between consumers’ personal innovativeness and impulse purchase orientation with their relational benefit and site commitment, social influence with relational benefit, relational benefit with site commitment, site commitment with the intention to purchase. Moreover, the study found that relational benefit mediates the relationship between impulse purchase orientation and social influence with site commitment. The results also indicate that site commitment mediates the relationship between personal innovativeness and impulse purchase orientation with the intention to purchase. The results further indicate that site commitment mediates the relationship between relational benefit and intention to purchase.

The findings allow online stores to consider crucial factors in their policies when making strategic decisions regarding the factors impacting consumers’ online purchasing intention during the COVID-19 pandemic.

In this study, a research framework is developed with a focus on the sustainable consumer intention to purchase. This study, therefore, adds to the existing literature by analyzing the factors that determine online purchase intentions during the COVID-19 pandemic in Bangladesh, given the limited number of studies on the online consumer behavioral intentions in related circumstances to COVID-19.

Consumer adoption of online shopping continues to increase each year. At the same time, online retailers face intense competition and few are profitable. This suggests that businesses and researchers still have much to learn regarding key antecedents of online shopping adoption and success. Based on extensive past research that has focused on the importance of various online shopping antecedents, this work seeks to provide an integrative, comprehensive nomological network.

The authors employ a mixed-methods approach to develop a comprehensive model of consumers online shopping behavior. To that end, in addition to a literature review, qualitative data are collected to identify a broad array of possible antecedents. Then, using a longitudinal survey, the model of consumer shopping intentions and behaviors is validated among 9,992 consumers.

The authors identified antecedents to online shopping related to culture, demographics, economics, technology and personal psychology. Our quantitative analysis showed that the main drivers of online shopping were congruence, impulse buying behavior, value consciousness, risk, local shopping, shopping enjoyment, and browsing enjoyment.

The validated model provides a rich explanation of the phenomenon of online shopping that integrates and extends prior work by incorporating new antecedents.