Strategies to manage the risks faced by consumers in developing e-commerce

Javaria, Kiran; Masood, Omar; Garcia, Fernando

doi:10.9770/ird.2020.2.4(4)

Cited by 18 publications

(15 citation statements)

References 20 publications

(32 reference statements)

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“…ISSN 2345-0282 (online) http://jssidoi.org/jesi/ 2021 Volume 8 Number 4 (June) https://doi.org/10. 9770/jesi.2021.8.4(3) related barriers in m-commerce (Hew 2017) is also being widely conducted, which stems, in particular, from the partial differences in the conditions of trust in this type of e-commerce (Groß 2016;Javaria et al, 2020) and the need for separate analyses for different markets, as they are characterized by different m-purchasing patterns (Cyr 2008;Zhang et al 2012;Akman & Rehan 2016).…”

Section: Entrepreneurship and Sustainability Issuesmentioning

confidence: 99%

Give or buy contexts and internet experience as a factor differentiating of readiness to provide different types of personal data in m-commerce

Woźniak¹,

Zbuchea²

2021

JESI

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Studies show that privacy concerns are an important factor in m-commerce and m-buyers are often not ready to disclose private data to m-shops. An e-questionnaire survey was used to gather opinions in three groupsca. 160 Poles, ca.160 Ukrainians and ca.130 Romanians, to study decisions of potential consumers concerning disclosure of personal data when downloading paid or free mobile applications in 3 different contexts: downloading an attractive app to their smartphone as a gift, as a promo purchase, or from a well-known brand. The study showed that different kinds of personal data have different fragility levels. The e-mail had the lowest level of concern, postal address a medium level, and ID and credit card numbers the highest. Context was also shown to change the kind of data respondents are willing to exchange for an attractive app. When the measure of internet experience was subjective to the length of internet use, people with higher internet experience were not found to be more unlikely to download an attractive app to their smartphone, if a condition of downloading it was providing personal identification data, in comparison with persons with low internet experience. When internet experience was measured by social norms (living in a country with a higher e-readiness index), persons with higher experience levels were less likely to download apps requiring the provision of personal data. The text ends with recommendations and suggestions for further research.

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Section: Entrepreneurship and Sustainability Issuesmentioning

confidence: 99%

Give or buy contexts and internet experience as a factor differentiating of readiness to provide different types of personal data in m-commerce

Woźniak¹,

Zbuchea²

2021

JESI

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“…(3) the role in the development of the enterprise (a risk plays a driving role, while a threat-slows or destroys) (Javaria et al 2020).…”

Section: Literature Surveymentioning

confidence: 99%

Modeling Study on Risk Identification in the Process of Anti-Crisis Enterprise Management

Shamborovskyi

Nehoda

Demidova

et al. 2021

JRFM

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The study provides solutions for the scientific task related to the improvement of theoretical and development of methodological and applied principles, and the identification and evaluation of risks and threats as factors of anti-crisis management of the enterprises. Based on the developed concept of quantitative risk analysis, we constructed a fuzzy hierarchical model, which gives the possibility to get the estimates: risk factors; specific types of threats in the framework of a process; risk processes, identified in the anti-crisis management; and the integrative risk of anti-crisis management. Furthermore, the proposed model makes it possible to identify the threats that are the risks of the highest (catastrophe) layer. The fuzzy hierarchical model construction process includes the determination of linguistic variables, term-varieties, and universal sets for quantitative evaluation of figures and risks, the establishment of parameters of the membership functions for indicators and risks, the formation of fuzzy knowledge bases, the construction of a fuzzy hierarchical model in the MATLAB environment, the evaluation of adequacy of model based on the learning sample, the correction of a model, and the adoption of a resolution regarding its final variant. The use of the model in the anti-crisis enterprise management will provide the anti-crisis team with the possibility to give early warning of all negative factors, give their quantitative evaluation, and take them into account in the course of making managerial decisions.

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“…The year of web experience for most of the respondents is more than 3 years (90%), which shows that most people have sufficient web experience. For more useful insights into emphasizing risk management strategy [59], we tried to identify high-risk groups by combining these sample characteristics with specific research variable. Since the research variable "phishing susceptibility" belongs to five-point Likert scale, we viewed those samples with phishing susceptibility having an average score of 4 or higher as high-risk individuals.…”

Section: Survey Administrationmentioning

confidence: 99%

Mindless Response or Mindful Interpretation: Examining the Effect of Message Influence on Phishing Susceptibility

Chou

Chen

2021

Sustainability

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Influence-based deceptive messages constantly play a critical role in email phishing attacks. However, the literature lacks adequate understanding about how phishing messages with attractive and coercive influence result in the receivers’ adverse consequences. We therefore take the perspective of mindless response and mindful interpretation to address this issue by examining comprehensive relationships among message influence, cognitive processing, and phishing susceptibility. To accomplish this, a survey approach was adopted after a simulated phishing attack was conducted in campuses. Our empirical evidence shows that both message influence and cognitive processing can lead to people being phished, and a combination of different influences can also trigger cognitive processing. This research makes contributions to the literature of information security, persuading influence, and cognitive psychology.

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Strategies to manage the risks faced by consumers in developing e-commerce

Cited by 18 publications

References 20 publications

Give or buy contexts and internet experience as a factor differentiating of readiness to provide different types of personal data in m-commerce

Give or buy contexts and internet experience as a factor differentiating of readiness to provide different types of personal data in m-commerce

Modeling Study on Risk Identification in the Process of Anti-Crisis Enterprise Management

Mindless Response or Mindful Interpretation: Examining the Effect of Message Influence on Phishing Susceptibility

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