e-RetailTest: Scale to Assess the Attitude of Consumers towards E-Commerce in the Retail Sector

García-Salirrosas, Elizabeth Emperatriz; Rondon-Eusebio, Rafael Fernando; Millones-Liza, Dany Yudet; Auqui, Jesús Fernando Bejarano

doi:10.3390/su15064964

Cited by 8 publications

(4 citation statements)

References 63 publications

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“…During May 2020, due to the pandemic, sales in the sector fell by 49.87%, with the most affected businesses being clothing, footwear, appliances, and household goods. Despite all this, the pandemic generated a great opportunity in online sales at the end of 2020, which had an increase of 250% in the retail sector (Garcia et al, 2023).…”

Section: Variablementioning

confidence: 99%

Improvement Proposal to Achieve Shrinkage Reduction in Home Dispatch Process in Retail Company

Piscoya,

Hidalgo Reyna,

Gil Grados

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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In this research the problem is the generation of wastage in the home dispatch (HD) process and in the reverse logistics of a retail sector company, so its main objective will be to reduce them. The DMAIC methodology was used for process improvement. The engineering tools used correspond to Lean Six Sigma such as process standardization and Poka Yoke. After simulating the improvement proposal with the Arena software, the main results obtained were, at 95% confidence, the reduction in the number of reentries, wastage, and absenteeism, as evidenced by the decrease in the confidence interval limits. For the quantity of reentries indicator, the simulated improvement yields a confidence interval of [43.7081 ; 49.8239] units of product re-entered, resulting in values lower than those obtained in the current situation, according to its confidence interval [99.7428 ; 111.3172] units of product re-entered. For the quantity of wastage indicator, the simulated improvement yields an approximate confidence interval of [6.3968 ; 8.8032] units of product wasted, resulting in lower values than those obtained in the current situation, according to its confidence interval [21.4576 ; 25.8744] units of product wasted. For the number of absent customers indicator, the simulated improvement yields an approximate confidence interval of [2.5717 ; 4.0949] absent customers, resulting in values lower than those obtained in the current situation, according to its confidence interval [31.1758 ; 37.1562] absent customers.

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Section: Variablementioning

confidence: 99%

Improvement Proposal to Achieve Shrinkage Reduction in Home Dispatch Process in Retail Company

Piscoya,

Hidalgo Reyna,

Gil Grados

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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“…Recent research examined the effect of perceived easeof-use on the attitude towards e-commerce [e.g. 78 ], intention to adopt e-commerce [e.g. 79 ], and behaviors regarding value co-creation on e-commerce platform 80 .…”

Section: Hypotheses Development the Relationship Between Peeim And Cu...mentioning

confidence: 99%

The effects of perceived effectiveness of e-commerce institutional mechanisms on customer stickiness: The role of customer value co-creation in ota platforms in Viet Nam

Huynh Thi Minh,

Nguyen Thi Truc,

Tran Thi

et al. 2023

Sci.Tech.Dev.J.-Eco.Law Manag.

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Information and communication technologies have been creating new consumption habits. Especially, after COVID-19 pandemic, online transactions become popular and using online travel agent platforms such as Booking.com, Agoda, Trip.com, Traveloka has also been a widespread practice for Vietnamese tourists. Actively participating in online travel agent platforms enables tourists to contribute their knowledge and expertise throughout the service process to co-create service value. The purpose of this study is to examine the effects of perceived effectiveness of e-commerce institutional mechanisms on customer stickiness under the mediation role of customer value co-creation on e-commerce platforms. Based on service dominant logic, the proposed research model includes 9 constructs and 15 hypotheses that mainly focuses on the relationship among customer value co-creation, perceived effectiveness of e-commerce institutional mechanisms and customer stickiness. This model is validated by data collected from 258 Vietnamese tourists who used any online travel agent platform. The results show that: (1) customer value co-creation is influenced by perceived effectiveness of e-commerce institutional mechanisms, customer experience quality, customer perceived ease-of-use, customer-to-customer interaction quality and customer perceived service climate; (2) customer value co-creation influences customer stickiness, customer empowerment and customer perceived value. Factors in the validated model explain 52.8% of the variance of customer stickiness. This study contributes to the growing service research an empirical evidence which affirms the importance of perceived effectiveness of e-commerce institutional mechanisms for value co-creation and of value co-creation on customer stickiness in ecommerce services. It adds to the existing literature by proving that an institution-based trust lever like perceived effectiveness of e-commerce institutional mechanisms can initiate other resources to jointly lead to customer value co-creation on e-commerce platforms. Managers in the tourism field can use these results as references to develop solutions improving customer stickiness through fostering customer value co-creation.

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“…The evolution of e-commerce, fuelled by technological advances and changing consumer preferences, has led to the emergence of innovative business models and products, creating both opportunities and challenges [1], [2]. In developing countries such as Peru, the validation of a scale to measure consumer attitudes towards online shopping reflects the importance of understanding changes in consumer behaviour in response to e-commerce [3]. Although e-commerce offers significant economic advantages such as increased productivity and reduced costs, barriers such as regulatory friction, logistics costs, and outdated taxation frameworks hinder its full potential [4].…”

Section: Introductionmentioning

confidence: 99%

Big Data Analysis for Product Demand Prediction in Indonesian E-commerce

Akadji,

Dewantara

2024

WSIST

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The Indonesian e-commerce sector has witnessed exponential growth in recent years, necessitating effective strategies for predicting product demand to meet consumer expectations and stay competitive. Leveraging big data analytics offers a promising solution to this challenge, allowing businesses to harness vast volumes of data to forecast demand accurately. This research explores the utilization of big data analysis for product demand prediction in Indonesian e-commerce through a qualitative analysis approach. Interviews with e-commerce executives, data scientists, and industry experts revealed key themes, including data quality and integration, analytical techniques and tools, and organizational culture and capability. Results highlight the challenges, opportunities, and best practices associated with leveraging big data analytics for demand prediction in Indonesian e-commerce, providing valuable insights for businesses striving to optimize their predictive capabilities and enhance decision-making processes in this dynamic and rapidly evolving market.

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e-RetailTest: Scale to Assess the Attitude of Consumers towards E-Commerce in the Retail Sector

Cited by 8 publications

References 63 publications

Improvement Proposal to Achieve Shrinkage Reduction in Home Dispatch Process in Retail Company

Improvement Proposal to Achieve Shrinkage Reduction in Home Dispatch Process in Retail Company

The effects of perceived effectiveness of e-commerce institutional mechanisms on customer stickiness: The role of customer value co-creation in ota platforms in Viet Nam

Big Data Analysis for Product Demand Prediction in Indonesian E-commerce

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