Exploring Choice Overload, Internet Shopping Anxiety, Variety Seeking and Online Shopping Adoption Relationship: Evidence from Online Fashion Stores

Nagar, Komal; gandotra, payal

doi:10.1177/0972150916645682

Cited by 37 publications

(37 citation statements)

References 70 publications

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“…It is shown that website anxiety has a negative effect on a user's intentions to continue using the product or service promoted by the site. For example, online shoppers who begin to feel too anxious do not buy as much [26]. Likewise, those who worry about smartphone use are less likely to continue the service [27].…”

Section: H2: Alternative Attractiveness Positively Influences Negativmentioning

confidence: 99%

Identifying Factors Preventing Sustainable Brand Loyalty among Consumers: A Mixed Methods Approach

Zhang

Ding

et al. 2018

Sustainability

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Consumers' brand-switching behavior, or the non-sustainability of consumer loyalty to a brand, brings huge losses to affected companies. Thus, the investigation of factors behind consumers' brand-switching is very important. The study analyzes the mechanism and configuration of brand-switching intention in order to provide guidelines for increasing brand competitiveness. Using empirical analysis (SEM) and qualitative comparative analysis (fsQCA), this study elucidates the motives and mechanisms in operation when customers decide whether to stay with a particular brand or switch to an alternative. The data was collected in August 2017. The results of SEM showed that the attractiveness of an alternate brand had a negative influence on current brand image recognition and brand value recognition, which could produce negative emotions that then lead to a brand-switching intention. The fsQCA uncovered six combinations or configurations of variables that could lead to brand-switching. This study has both theoretical and practical outcomes for competitive branding.Sustainability 2018, 10, 4685 2 of 13 for brand conversion intentions; however, most research has directly addressed the factors influencing brand-switching [4][5][6] rather than systematically analyzing the internal influencing mechanism and effective formation path of brand conversion intentions. To fill these gaps, our study utilized cognition theory in order to explore the mechanisms and configurations of brand-switching intention. Alternative attractiveness, negative brand image recognition, negative brand value recognition, negative brand emotion and website anxiety were included in this study in order to determine their mutual effects on the decision to stay with a particular brand or to switch to a new one.This paper is organized into specific sections. Following the introduction in Section 1, the theoretical background is discussed and a literature review is presented in Section 2; the research model and hypotheses are also considered. In Section 3, the research methodology, including measurement and data collection, is described, and in Section 4 the data is analyzed. Section 5 includes discussion and interpretation of the results, and the conclusions are summarized, offering some theoretical and practical implications. Lastly, this study considers the limitations and raises the prospect of future studies in Section 6.

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Section: H2: Alternative Attractiveness Positively Influences Negativmentioning

confidence: 99%

Identifying Factors Preventing Sustainable Brand Loyalty among Consumers: A Mixed Methods Approach

Zhang

Ding

et al. 2018

Sustainability

View full text Add to dashboard Cite

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“…Multiple studies have empirically established the direct relationship between 'anxiety' and 'BI' (Adetimirin, 2015;Alenezi, Karim, & Veloo, 2010;Elasmar & Carter, 1996;Tung & Chang, 2008). Nagar and Gandotra (2016) explored this relationship in the context of Internet shopping and established that 'anxiety' has a negative impact on 'patronage intention'. However, Venkatesh et al (2003) found the relationship between 'computer anxiety' and 'BI' to be non-significant.…”

Section: Antecedents To Bimentioning

confidence: 99%

Factors Influencing Smartphone Adoption: A Study in the Indian Bottom of the Pyramid Context

Baishya

Samalia

2019

Global Business Review

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The usage of smartphones is increasing with each passing day. The growth of wireless subscription in India in the last 5 years is very high. However, the penetration rate of smartphones among low-income people is significantly low. Looking at the near saturation and high competition of markets at the higher side of the economic pyramid, companies are trying to explore the segment of low-income people termed ‘Bottom of the Pyramid’ (BOP). In order to explore the BOP market for smartphones, one needs to realize the factors influencing the adoption of smartphones at the BOP. Our study explores these factors with reference to the existing literature of technology adoption. A theoretical framework is proposed and tested with 266 valid data points. Structural equation modelling (SEM) is used to test the proposed framework. The empirical analysis revealed that ‘performance expectancy’, ‘effort expectancy’ and ‘perceived monetary value’ have a positive impact on the ‘behavioural intention’ of using smartphones at BOP. ‘Smartphone anxiety’ and ‘smartphone self-efficacy’ are found to have an impact on ‘effort expectancy’.

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“…System anxiety is the fear that occurs when a person is exposed to the use of information systems [40]- [42], such as computer anxiety, internet anxiety, and online shopping anxiety [43]. Computer anxiety is an anxiety form that reflects the individual transitional tendencies explicitly to be fearful, apprehensive, intimidated, uncomfortable and aggressive when interacting with computer hardware and software [44].…”

Section: B System Anxietymentioning

confidence: 99%

“…It recognized against security threats, cyber fraud, hacker and viruses in an online system. The investigation of internet shopping anxiety in the context of fashion products has attempted by [43], which suggested that variety-seeking behavior is the best predictor of shopping anxiety experienced by online shoppers. Moreover, system anxiety appears as a result of e-commerce transactions and thus can be decreased by a user's experience [70].…”

Section: F Hypotheses Development 1) the Influence Of System Anxietymentioning

confidence: 99%

An Empirical Study of SME’s Embroidery Website in Indonesia: A Proposed Model of Website Re-visit Intention

Lita

Meuthia

2018

International Journal on Advanced Science, Engineering and Information Technology

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This paper aims to analyze the influence of system anxiety and perceived company's website reputation for online trust, which in turn lead to website re-visit intention. Data were collected using questionnaires based field survey from 120 visitors on La linda Boutique website, one of famous SME's embroidery in West Sumatera, Indonesia. Purposive sampling technique was used to enhance representatives. Structural Equation Modelling (SEM) through Smart-PLS software was used to test the multidimensional construct of first-order reflective and second-order formative. The results revealed that online trust, such as perceived ease of use, perceived usefulness, enjoyment of technology, privacy and security, and company competence, have had the most significant effect on website re-visit intention. Also, results indicate that perceived company's website reputation impact on online trust, while the effect of system anxiety was not statistically significant. Cross-sectional data of this study tend to have specific limitation to explain the level of website re-visit intention. Nevertheless, theoretical and practical implications for further research are likely to increase the number of visitors to re-visit the website.

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Exploring Choice Overload, Internet Shopping Anxiety, Variety Seeking and Online Shopping Adoption Relationship: Evidence from Online Fashion Stores

Cited by 37 publications

References 70 publications

Identifying Factors Preventing Sustainable Brand Loyalty among Consumers: A Mixed Methods Approach

Identifying Factors Preventing Sustainable Brand Loyalty among Consumers: A Mixed Methods Approach

Factors Influencing Smartphone Adoption: A Study in the Indian Bottom of the Pyramid Context

An Empirical Study of SME’s Embroidery Website in Indonesia: A Proposed Model of Website Re-visit Intention

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