Journal of Theoretical and Applied Electronic Commerce Research

16 pages, 1455 KiB

Open AccessArticle

Are eBay’s Feedback Ratings Consistent with the Sentiments Embedded in Textual Comments? An Empirical Study

by Xubo Zhang, Yanbin Tu and Ke Zhong

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2257-2272; https://doi.org/10.3390/jtaer18040114 - 15 Dec 2023

Viewed by 1314

Abstract

eBay’s feedback rating system is currently widely used. In this study, we examine if eBay’s feedback rating types (+, 0, −) are consistent with the sentiments reflected in the textual comments posted by buyers. Using the datasets collected from eBay, we test the [...] Read more.

eBay’s feedback rating system is currently widely used. In this study, we examine if eBay’s feedback rating types (+, 0, −) are consistent with the sentiments reflected in the textual comments posted by buyers. Using the datasets collected from eBay, we test the hypotheses associated with the research questions at three levels: individual, group, and total. Overall, the types of feedback ratings are consistent with the sentiments embedded in the textual comments. However, there are some issues with eBay’s current feedback rating system: (1) at the individual level, the correlation coefficient between the ratings and the comments’ sentiments is low at 0.4311 (<0.5). While the three types of ratings are symmetric, like (−1, 0, +1), buyers’ textual comments have asymmetric distributions of sentiments among these three types. The three simple feedback ratings (+, 0, −) are not fully aligned with the sentiments revealed in the textual comments posted by buyers. We propose expanding the current three ratings into five ratings such as (−2, −1, 0, +1, +2), which might help remedy the issue. We contribute to the literature by tapping into this less-studied area vital to improving the online marketplace’s efficiency. Full article

(This article belongs to the Section e-Commerce Analytics)

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19 pages, 1804 KiB

Open AccessArticle

Altruism in eWOM: Propensity to Write Reviews on Hotel Experience

by Miguel Llorens-Marin, Adolfo Hernandez and Maria Puelles-Gallo

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2238-2256; https://doi.org/10.3390/jtaer18040113 - 13 Dec 2023

Viewed by 1280

Abstract

This research tests the relationship between aspects of customer influenceability at the time of booking a hotel with the propensity to write a review in electronic word-of-mouth communication. A valid sample of 739 online questionnaires was obtained. An Exploratory Factor Analysis was conducted [...] Read more.

This research tests the relationship between aspects of customer influenceability at the time of booking a hotel with the propensity to write a review in electronic word-of-mouth communication. A valid sample of 739 online questionnaires was obtained. An Exploratory Factor Analysis was conducted in order to reduce the dimensions of the two critical variables, and a measurement model was built. Then a Path analysis was carried out. The novelty of this research lies in measuring the evolution from being a passive eWOM reader to a proactive eWOM writer. Results indicate a relationship between being influenced by reading reviews and the propensity to write reviews. The most important underlying motivation to write a review is altruistic. Managers should try to identify the most responsive customers and encourage them to write reviews on altruistic grounds. This study effectively validated the impact of being responsive to reading reviews on the inclination to, in turn, write them. Findings contribute to the evolving research landscape in eWOM within the hospitality and tourism sector, offering practical insights for industry practitioners to formulate more effective strategies in soliciting and managing customer reviews. Full article

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5 pages, 243 KiB

Open AccessComment

Comment on Gruntkowski, L.M.; Martinez, L.F. Online Grocery Shopping in Germany: Assessing the Impact of COVID-19. J. Theor. Appl. Electron. Commer. Res. 2022, 17, 984–1002

by Leo Van Hove

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2233-2237; https://doi.org/10.3390/jtaer18040112 - 13 Dec 2023

Viewed by 470

Abstract

Gruntkowski and Martinez examined the impact of factors such as perceived risk and perceived usefulness on German consumers’ intention to purchase groceries online once the COVID-19 pandemic had subsided. They also compared consumer perceptions before and during the COVID-19 outbreak. This comment shows [...] Read more.

Gruntkowski and Martinez examined the impact of factors such as perceived risk and perceived usefulness on German consumers’ intention to purchase groceries online once the COVID-19 pandemic had subsided. They also compared consumer perceptions before and during the COVID-19 outbreak. This comment shows that Gruntkowski and Martinez’s research suffers from a number of problems, the most important of which is the use of an unrepresentative sample. They should therefore have refrained from generalizing their findings to the German population. Full article

16 pages, 772 KiB

Open AccessArticle

Consumer Intentions to Switch On-Demand Food Delivery Platforms: A Perspective from Push-Pull-Mooring Theory

by I-Chiu Chang, Win-Ming Shiau, Chih-Yu Lin and Dong-Her Shih

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2217-2232; https://doi.org/10.3390/jtaer18040111 - 05 Dec 2023

Viewed by 1636

Abstract

With a burgeoning market and a multitude of on-demand food delivery (OFD) platforms offering diverse options, comprehending the reasons that drive consumers to switch between platforms is paramount. The push-pull-mooring (PPM) theory provides a comprehensive framework for assessing why and how consumers navigate, [...] Read more.

With a burgeoning market and a multitude of on-demand food delivery (OFD) platforms offering diverse options, comprehending the reasons that drive consumers to switch between platforms is paramount. The push-pull-mooring (PPM) theory provides a comprehensive framework for assessing why and how consumers navigate, guiding strategic decisions for service providers seeking to optimize their offerings and retain their customer base. This research employs the PPM theory to rigorously analyze how these elements influence consumers’ intentions to switch between OFD platforms in Taiwan. Findings from a comprehensive survey of 441 OFD users reveal that both pull and mooring factors exert a significant influence on consumers’ inclination to switch platforms, collectively explaining about 42% of the switching intention. Recognizing these critical factors empowers managers to make judicious decisions aimed at enhancing platform offerings and refining marketing strategies, ultimately fortifying customer retention and bolstering satisfaction levels. Full article

(This article belongs to the Section Digital Marketing and the Connected Consumer)

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29 pages, 559 KiB

Open AccessReview

A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research

by Xue Zhang, Fusen Guo, Tao Chen, Lei Pan, Gleb Beliakov and Jianzhang Wu

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2188-2216; https://doi.org/10.3390/jtaer18040110 - 04 Dec 2023

Cited by 2 | Viewed by 3152

Abstract

The rapid growth of e-commerce has significantly increased the demand for advanced techniques to address specific tasks in the e-commerce field. In this paper, we present a brief survey of machine learning and deep learning techniques in the context of e-commerce, focusing on [...] Read more.

The rapid growth of e-commerce has significantly increased the demand for advanced techniques to address specific tasks in the e-commerce field. In this paper, we present a brief survey of machine learning and deep learning techniques in the context of e-commerce, focusing on the years 2018–2023 in a Google Scholar search, with the aim of identifying state-of-the-art approaches, main topics, and potential challenges in the field. We first introduce the applied machine learning and deep learning techniques, spanning from support vector machines, decision trees, and random forests to conventional neural networks, recurrent neural networks, generative adversarial networks, and beyond. Next, we summarize the main topics, including sentiment analysis, recommendation systems, fake review detection, fraud detection, customer churn prediction, customer purchase behavior prediction, prediction of sales, product classification, and image recognition. Finally, we discuss the main challenges and trends, which are related to imbalanced data, over-fitting and generalization, multi-modal learning, interpretability, personalization, chatbots, and virtual assistance. This survey offers a concise overview of the current state and future directions regarding the use of machine learning and deep learning techniques in the context of e-commerce. Further research and development will be necessary to address the evolving challenges and opportunities presented by the dynamic e-commerce landscape. Full article

(This article belongs to the Section e-Commerce Analytics)

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25 pages, 1418 KiB

Open AccessReview

COVID-19 and Supply Chain Disruption Management: A Behavioural Economics Perspective and Future Research Direction

by Chase Smith and Hajar Fatorachian

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2163-2187; https://doi.org/10.3390/jtaer18040109 - 29 Nov 2023

Cited by 1 | Viewed by 1499

Abstract

The COVID-19 pandemic has been one of the most severe disruptions to normal life, impacting how businesses operate. The academic literature in the areas of supply chain and operations management has been trying to explain how this has affected decision-making in businesses. However, [...] Read more.

The COVID-19 pandemic has been one of the most severe disruptions to normal life, impacting how businesses operate. The academic literature in the areas of supply chain and operations management has been trying to explain how this has affected decision-making in businesses. However, the existing literature has predominantly overlooked organisational culture and behavioural economic theories. This paper contends that considering the decisions made in supply chain disruption management involve groups and the individuals within them, the relevance of behavioural economic concepts becomes paramount. As such, the objective of this paper is to conduct an integrative literature review, utilising the purposive sampling method to explore the dearth of academic work connecting behavioural economic theories and organisational culture to supply chain disruption management. Additionally, the paper aims to offer guidelines for future research in this domain. Enhancing our comprehension of these domains concerning supply chain disruption management would empower firms to better anticipate their parties’ decisions, refine their decision-making models, and cultivate stronger relationships with suppliers and customers. Full article

(This article belongs to the Collection Advances in Supply Chain Management in the Era of Electronic Commerce)

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21 pages, 1155 KiB

Open AccessArticle

Enhancing Traceability in Wine Supply Chains through Blockchain: A Stackelberg Game-Theoretical Analysis

by Yuxuan Kang, Xianliang Shi, Xiongping Yue, Weijian Zhang and Samuel Shuai Liu

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2142-2162; https://doi.org/10.3390/jtaer18040108 - 22 Nov 2023

Cited by 2 | Viewed by 1372

Abstract

Blockchain technology has been adopted to improve traceability and authenticity in wine supply chains (WSCs). However, whether through outsourcing or self-implementation of a blockchain-based wine traceability system (BTS), there are significant costs involved, as well as concerns regarding consumer privacy. Motivated by observations [...] Read more.

Blockchain technology has been adopted to improve traceability and authenticity in wine supply chains (WSCs). However, whether through outsourcing or self-implementation of a blockchain-based wine traceability system (BTS), there are significant costs involved, as well as concerns regarding consumer privacy. Motivated by observations of real-world practice, we explore the value of blockchain in enhancing traceability and authenticity in WSCs through a Stackelberg game-theoretical analysis. By comparing the equilibrium solutions of the scenarios with and without blockchain, we uncover the value of blockchain in tracing wine products. Our findings show that blockchain adoption can increase WSC prices under certain conditions. We derive the threshold for a third-party BTS service fee that determines blockchain adoption for tracing wine products and reveal the moderating effect of consumer traceability preferences and privacy concerns. Furthermore, the investigation of who should lead the implementation of BTS finds that the equal cost sharing between the manufacturer and the retailer results in no difference in BTS implementation leadership. Otherwise, the manufacturer always benefits from taking the lead in the implementation of BTS, and the retailer should undertake a leadership role in BTS implementation if they need to bear higher costs. Full article

(This article belongs to the Collection Utilizing Models for e-Business Decision-Making: From Data to Wisdom)

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17 pages, 639 KiB

Open AccessArticle

Empowering the Online Media System: The Innovative Route of Effective Digital Government Response in China

by Zipeng Li and Qingguo Meng

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2125-2141; https://doi.org/10.3390/jtaer18040107 - 20 Nov 2023

Viewed by 946

Abstract

Studies on the Chinese government’s online response present diverse voices and perspectives, but consensus cannot be reached. The literature has constantly ignored the construction of an online media mechanism, which includes professional positions and standardized procedures that were designed inside the online media [...] Read more.

Studies on the Chinese government’s online response present diverse voices and perspectives, but consensus cannot be reached. The literature has constantly ignored the construction of an online media mechanism, which includes professional positions and standardized procedures that were designed inside the online media to process information and facilitate an effective government response. Does the reconstruction of an online media mechanism benefit the effectiveness of government response? If so, how? From the perspective of the media mechanism, what are the influential factors for the effectiveness of government response and how do they work to exert this impact? Engaging with the media system dependence theory, I conducted semi-structured, in-depth interviews with the editor at the Beijing Municipal Government Website and official document drafters at prestigious research institutions. In conversation with the political system theory, multinomial logistic regression was used to analyze the daily government response data covering the period from 2019 to 2020. This article argues that the innovations in the mechanism inside the online media system can outsource some information management functions from the political system to the online media system. These innovations also assist in partial power transfer from the political system to the media system to achieve an effective government response. The political system faces dual pressure, including content pressure and time pressure, regarding its online response. Full article

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18 pages, 2113 KiB

Open AccessArticle

Analysis of Online Platforms’ Free Trial Strategies for Digital Content Subscription

by Li Chen

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2107-2124; https://doi.org/10.3390/jtaer18040106 - 20 Nov 2023

Viewed by 1375

Abstract

Adopting subscription models has become a popular trend in e-commerce. Digital content platforms often use free trials to attract potential subscribers. However, rigorous research on platforms’ free trial strategies is lacking. Our paper aims to fill this gap using a horizontal duopoly framework. [...] Read more.

Adopting subscription models has become a popular trend in e-commerce. Digital content platforms often use free trials to attract potential subscribers. However, rigorous research on platforms’ free trial strategies is lacking. Our paper aims to fill this gap using a horizontal duopoly framework. We investigate both the scenario of market symmetry and of market asymmetry. We study the benchmark case with no free trial for each scenario and derive equilibrium results with free trial promotion. We find that the platform will not benefit from free trials unless consumers’ learning rate exceeds a threshold. When a free trial is introduced in market symmetry, a higher rate of consumers’ learning leads to a higher price of subscription and a shorter free trial length. In addition, when the network effect is incorporated, the platform will introduce a lower subscription price and a shorter free trial length. Under market asymmetry, our results show that the platform faces a higher threshold of consumers’ learning rate. Additionally, it will offer a higher price and a longer period of free trial compared with those under the market symmetry scenario. Overall, our study provides useful managerial insights for online content platforms when considering their subscription strategies. Full article

(This article belongs to the Section Digital Marketing and the Connected Consumer)

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15 pages, 3530 KiB

Open AccessArticle

Investigation of Web-Based Eye-Tracking System Performance under Different Lighting Conditions for Neuromarketing

by Doğuş Yüksel

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2092-2106; https://doi.org/10.3390/jtaer18040105 - 16 Nov 2023

Viewed by 1204

Abstract

The increasing popularity of neuromarketing has led to the emergence of various measurement methods, such as webcam-based eye-tracking technology. Webcam-based eye-tracking technology is noteworthy not only for its use in laboratories but also for its ability to be applied to participants online in [...] Read more.

The increasing popularity of neuromarketing has led to the emergence of various measurement methods, such as webcam-based eye-tracking technology. Webcam-based eye-tracking technology is noteworthy not only for its use in laboratories but also for its ability to be applied to participants online in their natural environments through a link. However, the complexity of e-commerce interfaces necessitates high performance in eye-tracking methods. This complexity and the applicability of webcam-based eye-tracking technology in various environments have raised research questions about how its performance changes depending on the type and location of lighting. To answer these questions, experiments were conducted with 30 users in two different experimental environments illuminated by artificial and natural methods, with the lighting from the left, right, and front. Participants were asked to focus on targets located in specially prepared graphics for the experiment. In the heatmaps obtained in the eye-tracking tests, the distance and angular difference between the focal point and the target point were measured using the polar coordinate system. The findings indicate that measurements taken with lighting coming from the center were more efficient in both natural and artificial lighting types and measurements taken under natural lighting performed 24% better than artificial ones. Web camera-based eye-tracking technology is a promising method. However, detailed statistical analyses have demonstrated that for complex interfaces like e-commerce, the position and type of lighting are crucial parameters. Full article

(This article belongs to the Collection The New Era of Digital Marketing)

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15 pages, 1943 KiB

Open AccessArticle

Individualization in Online Markets: A Generalized Model of Price Discrimination through Learning

by Rasha Ahmed

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2077-2091; https://doi.org/10.3390/jtaer18040104 - 13 Nov 2023

Viewed by 742

Abstract

This paper builds a theoretical framework to model individualization in online markets. In a market with consumers of varying levels of demand, a seller offers multiple product bundles and prices. Relative to brick-and-mortar stores, an online seller can use pricing algorithms that can [...] Read more.

This paper builds a theoretical framework to model individualization in online markets. In a market with consumers of varying levels of demand, a seller offers multiple product bundles and prices. Relative to brick-and-mortar stores, an online seller can use pricing algorithms that can observe a buyer’s online behavior and infer a buyer’s type. I build a generalized model of price discrimination with Bayesian learning where a seller offers different bundles of the product that are sized and priced contingent on the posterior probability that the consumer is of a given type. Bayesian learning allows the seller to individualize product menus over time as new information becomes available. I explain how this strategy differs from first- or second-degree price discrimination models and how Bayesian learning over time affects equilibrium values and welfare. Full article

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20 pages, 2578 KiB

Open AccessArticle

Detecting Fraudulent Transactions Using Stacked Autoencoder Kernel ELM Optimized by the Dandelion Algorithm

by Fatima Zohra El Hlouli, Jamal Riffi, Mhamed Sayyouri, Mohamed Adnane Mahraz, Ali Yahyaouy, Khalid El Fazazy and Hamid Tairi

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2057-2076; https://doi.org/10.3390/jtaer18040103 - 10 Nov 2023

Cited by 1 | Viewed by 906

Abstract

The risk of fraudulent activity has significantly increased with the rise in digital payments. To resolve this issue there is a need for reliable real-time fraud detection technologies. This research introduced an innovative method called stacked autoencoder kernel extreme learning machine optimized by [...] Read more.

The risk of fraudulent activity has significantly increased with the rise in digital payments. To resolve this issue there is a need for reliable real-time fraud detection technologies. This research introduced an innovative method called stacked autoencoder kernel extreme learning machine optimized by the dandelion algorithm (S-AEKELM-DA) to detect fraudulent transactions. The primary objective was to enhance the kernel extreme learning machine (KELM) performance by integrating the dandelion technique into a stacked autoencoder kernel ELM architecture. This study aimed to improve the overall effectiveness of the proposed method in fraud detection by optimizing the regularization parameter (c) and the kernel parameter (σ). To evaluate the S-AEKELM-DA approach; simulations and experiments were conducted using four credit card datasets. The results demonstrated remarkable performance, with our method achieving high accuracy, recall, precision, and F1-score in real time for detecting fraudulent transactions. These findings highlight the effectiveness and reliability of the suggested approach. By incorporating the dandelion algorithm into the S-AEKELM framework, this research advances fraud detection capabilities, thus ensuring the security of digital transactions. Full article

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24 pages, 1014 KiB

Open AccessArticle

Integrating Non-Positional Numbering Systems into E-Commerce Platforms: A Novel Approach to Enhance System Fault Tolerance

by Victor Krasnobayev and Oleksandr Kuznetsov

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2033-2056; https://doi.org/10.3390/jtaer18040102 - 03 Nov 2023

Cited by 1 | Viewed by 653

Abstract

In the dynamic landscape of electronic commerce, the robustness of platforms is a critical determinant of operational continuity and trustworthiness, necessitating innovative approaches to fault tolerance. This study pioneers an advanced strategy for enhancing fault tolerance in e-commerce systems, utilizing non-positional numbering systems [...] Read more.

In the dynamic landscape of electronic commerce, the robustness of platforms is a critical determinant of operational continuity and trustworthiness, necessitating innovative approaches to fault tolerance. This study pioneers an advanced strategy for enhancing fault tolerance in e-commerce systems, utilizing non-positional numbering systems (NPNS) inspired by the mathematical robustness of the Chinese Remainder Theorem (CRT). Traditional systems rely heavily on positional numbering, which, despite its ubiquity, harbors limitations in flexibility and resilience against computational errors and system faults. In contrast, NPNS, characterized by their independence, equitability, and residue independence, introduce a transformative potential for system architecture, significantly increasing resistance to disruptions and computational inaccuracies. Our discourse extends beyond theoretical implications, delving into practical applications within contemporary e-commerce platforms. We introduce and elaborate on new terminologies, concepts, and a sophisticated classification system for fault-tolerance mechanisms within the framework of NPNS. This nuanced approach not only consolidates understanding but also identifies underexplored pathways for resilience in digital commerce infrastructure. Furthermore, this research highlights the empirical significance of adopting NPNS, offering a methodologically sound and innovative avenue to safeguard against system vulnerabilities. By integrating NPNS, platforms can achieve enhanced levels of redundancy and fault tolerance, essential for maintaining operational integrity in the face of unforeseen system failures. This integration signals a paradigm shift, emphasizing proactive fault mitigation strategies over reactive measures. Conclusively, this study serves as a seminal reference point for subsequent scholarly endeavors, advocating for a shift towards NPNS in e-commerce platforms. The practical adaptations suggested herein are poised to redefine stakeholders’ approach to system reliability, instigating a new era of confidence in e-commerce engagements. Full article

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26 pages, 1786 KiB

Open AccessSystematic Review

What Do You Need to Know? A Systematic Review and Research Agenda on Neuromarketing Discipline

by Prakash Singh, Ibrahim Alhassan and Lama Khoshaim

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 2007-2032; https://doi.org/10.3390/jtaer18040101 - 03 Nov 2023

Viewed by 2076

Abstract

The neuromarketing phenomenon has led to a makeover in the marketing area, and its application in the business world has generated a better insight into understanding diverse consumer behavior. This comprehensive study delves into the multifaceted world of neuromarketing. Employing a systematic literature [...] Read more.

The neuromarketing phenomenon has led to a makeover in the marketing area, and its application in the business world has generated a better insight into understanding diverse consumer behavior. This comprehensive study delves into the multifaceted world of neuromarketing. Employing a systematic literature review approach and reviewing 51 articles from the Web of Science database, the study aims to provide a holistic view of the neuromarketing field, offering valuable insights and directions for future research and practical application in the business and academic world. The key results of this study are classified into six distinct research themes: 1. Evolution of Neuromarketing, 2. Neuromarketing Definitions and Neuromarketing Tools, 3. Neuromarketing in Practice, 4. Social Value of Neuromarketing, 5. Neuromarketing and Consumer Behavior, and 6. Neuromarketing for Sustainable Business Development. The results of the study are based on the 4W framework (What, Where, Why, and How) and the TCCM framework (Themes, Contexts, Characteristics, and Methodology). The study underscores the significance of neuromarketing to businesses and serves as a provocative call to action for businesses to study its potential which traditional marketing techniques may overlook. This study is notable for its investigation of theoretical evolution, definitions, tools, practices, social value, and influence on consumer behavior within the discipline. Its contribution unfolds to sustainable business development, where neuromarketing can facilitate sustainable products and practices by understanding consumer behavior. This study presents valuable insights and sets the stage for future research through theoretical advancements in neuromarketing. It further acts as a foundational resource for marketers and researchers in augmenting their theoretical and practical acumen. Full article

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17 pages, 1601 KiB

Open AccessArticle

Achieving Sales Forecasting with Higher Accuracy and Efficiency: A New Model Based on Modified Transformer

by Qianying Li and Mingyang Yu

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1990-2006; https://doi.org/10.3390/jtaer18040100 - 02 Nov 2023

Cited by 2 | Viewed by 1908

Abstract

With the exponential expansion of e-commerce, an immense volume of historical sales data has been generated and amassed. This influx of data has created an opportunity for more accurate sales forecasting. While various sales forecasting methods and models have been applied in practice, [...] Read more.

With the exponential expansion of e-commerce, an immense volume of historical sales data has been generated and amassed. This influx of data has created an opportunity for more accurate sales forecasting. While various sales forecasting methods and models have been applied in practice, existing ones often struggle to fully harness sales data and manage significant fluctuations. As a result, they frequently fail to make accurate predictions, falling short of meeting enterprise needs. Therefore, it is imperative to explore new models to enhance the accuracy and efficiency of sales forecasting. In this paper, we introduce a model tailored for sales forecasting based on a Transformer with encoder–decoder architecture and multi-head attention mechanisms. We have made specific modifications to the standard Transformer model, such as removing the Softmax layer in the last layer and adapting input embedding, position encoding, and feedforward network components to align with the unique characteristics of sales forecast data and the specific requirements of sales forecasting. The multi-head attention mechanism in our proposed model can directly compute the dot product results in a single step, addressing long-term time-dependent computation challenges while maintaining lower time complexity and greater interpretability. This enhancement significantly contributes to improving the model’s accuracy and efficiency. Furthermore, we provide a comprehensive formula representation of the model for the first time, facilitating better understanding and implementation. We conducted experiments using sales datasets that incorporate various factors influencing sales forecasts, such as seasons, holidays, and promotions. The results demonstrate that our proposed model significantly outperforms seven selected benchmark methods, reducing RMSLE, RMSWLE, NWRMSLE, and RMALE by approximately 48.2%, 48.5%, 45.2, and 63.0%, respectively. Additionally, ablation experiments on the multi-head attention and the number of encoder–decoders validate the rationality of our chosen model parameters. Full article

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19 pages, 2136 KiB

Open AccessArticle

Examining Consumers’ Perceptions of and Attitudes toward Digital Fashion in General and Purchase Intention of Luxury Brands’ Digital Fashion Specifically

by Yanbo Zhang, Chuanlan Liu and Yanru Lyu

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1971-1989; https://doi.org/10.3390/jtaer18040099 - 25 Oct 2023

Cited by 2 | Viewed by 3224

Abstract

Digital fashion may instill transformative power into the fashion industry as it can simultaneously deliver fashionability and sustainability. Renowned for their innovativeness and creativity, luxury brands embrace digital fashion and achieve market success, indicating the future of digital fashion. This research aims to [...] Read more.

Digital fashion may instill transformative power into the fashion industry as it can simultaneously deliver fashionability and sustainability. Renowned for their innovativeness and creativity, luxury brands embrace digital fashion and achieve market success, indicating the future of digital fashion. This research aims to empirically investigate consumers’ general perceptions and evaluations of digital fashion and to specifically examine consumers’ purchase intention of luxury brands’ digital fashion. A total of 214 responses were collected from a U.S.-based research company’s consumer panel. Data were analyzed by using structural equation modeling (SEM). The results revealed that the general attitude toward digital fashion is influenced by four factors: the two specific attitudes toward outfitting avatars and dressing real people’s on-screen bodies in virtual spaces, the perceived social value of digital fashion, and consumer environmental involvement. Furthermore, the general attitude and perceived social value of digital fashion directly affect the purchase intention. This study attempts to extend established theories into the emerging digital fashion context and provides insights and suggestions for digital fashion marketers, particularly for luxury fashion brands. Full article

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16 pages, 2028 KiB

Open AccessArticle

Global Market Perceptions of Cryptocurrency and the Use of Cryptocurrency by Consumers: A Pilot Study

by Murugappan Murugappan, Rashmi Nair and Saravanan Krishnan

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1955-1970; https://doi.org/10.3390/jtaer18040098 - 20 Oct 2023

Cited by 1 | Viewed by 4191

Abstract

Cryptocurrencies, like Bitcoin and Ethereum, have garnered global attention in recent years as digital alternatives to traditional fiat currencies. This paper explores the complex landscape of cryptocurrency adoption, consumer behavior, and perceptions. Beginning with the origin of cryptocurrencies and the dominance of Bitcoin [...] Read more.

Cryptocurrencies, like Bitcoin and Ethereum, have garnered global attention in recent years as digital alternatives to traditional fiat currencies. This paper explores the complex landscape of cryptocurrency adoption, consumer behavior, and perceptions. Beginning with the origin of cryptocurrencies and the dominance of Bitcoin with its USD 1.23 trillion market capitalization, the paper highlights popular online platforms facilitating Bitcoin trading. It also examines the varying legal statuses and regulations across different countries, with a notable divide between Eastern and Western nations, attributed to factors like wealth, risk tolerance, and government restrictions. The role of blockchain technology as the foundation of cryptocurrencies is explained, emphasizing its role in ensuring secure and transparent transactions. The paper delves into the processes involved in handling cryptocurrencies, including the blockchain, exchanges, wallets, and mining. Consumer behavior and the factors influencing cryptocurrency usage are analyzed, with a focus on speculation, algorithm trust, spending power, and demographics. Survey findings and case studies from diverse geographical areas reveal patterns of adoption and local consumer perceptions. The paper concludes by discussing the cryptocurrency market’s inherent volatility and sensitivity to regulatory changes, as well as the different types of cryptocurrencies and online exchanges shaping this evolving financial landscape. Overall, it offers insights into the complex dynamics surrounding cryptocurrency adoption and its potential impact on global finance. Full article

(This article belongs to the Section Digital Marketing and the Connected Consumer)

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29 pages, 21793 KiB

Open AccessArticle

Evolutionary Game Analysis of the Impact of Big Data Credit Technology on the Credit Rationing of Micro and Small Enterprises (MSEs)

by Yuhuan Jin, Sheng Zhang and Xiaokang Lei

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1926-1954; https://doi.org/10.3390/jtaer18040097 - 18 Oct 2023

Viewed by 1032

Abstract

Credit rationing hindered the development of MSEs. Big data credit technology creates a great opportunity to address this issue. Then, how does big data credit technology affect and to what extent can it alleviate the credit rationing of MSEs? Based on the bounded [...] Read more.

Credit rationing hindered the development of MSEs. Big data credit technology creates a great opportunity to address this issue. Then, how does big data credit technology affect and to what extent can it alleviate the credit rationing of MSEs? Based on the bounded rationality economic man hypothesis, the evolutionary game model of banks and MSEs under the traditional mode and big data credit technology are constructed, respectively, in this paper, and the evolutionary trajectory of bank-enterprise credit strategies under the two modes are comparatively analyzed. The results show that it is hard to alleviate the credit rationing of MSEs under the traditional mode. However, under big data credit technology, when the overall credit level of MSEs is high, the credit rationing of MSEs will be effectively alleviated. When the overall credit level of MSEs is too low, it is difficult to determine whether big data credit technology can alleviate the credit rationing of MSEs. In order to verify the feasibility of big data credit technology in alleviating the credit rationing of MSEs, a simulation experiment is conducted to compare the differences in the credit rationing of MSEs with different credit levels under the two credit modes. We found that the credit rationing of MSEs is always lower under big data credit technology than under the traditional mode. Therefore, big data credit technology can effectively alleviate the credit rationing of MSEs under any circumstances. The research provides theoretical support for banks to apply big data credit technology to achieve a win-win situation for both parties. Full article

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25 pages, 2790 KiB

Open AccessArticle

User-Informed Adaptation in IoT Home Healthcare: Grounding Development in Empirical Evidence

by Hannah Fehringer and Christian Stary

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1901-1925; https://doi.org/10.3390/jtaer18040096 - 17 Oct 2023

Viewed by 1111

Abstract

IoT (Internet of Things)-enabled products are increasingly used by consumers and continuously propagate in daily life. Billions of networked objects not only increase the complexity of development but also raise user interaction and adaptation to individual needs. The more non-expert users are involved [...] Read more.

IoT (Internet of Things)-enabled products are increasingly used by consumers and continuously propagate in daily life. Billions of networked objects not only increase the complexity of development but also raise user interaction and adaptation to individual needs. The more non-expert users are involved in decision making, interaction, and adaptation processes, the more user-centric IoT design is crucial, particularly when the number of elderly users is steadily increasing. In this paper, we study the capabilities of adopting IoT products through user-informed adaptation in a major IoT application domain, home healthcare. We review evidence from established practice in the field on how users can be supported when aiming to adapt medical IoT (M-IoT) home applications to their needs. We examine the empirically grounded use of IoT sensors and actuators, as well as the adaptation process users adopt when using an IoT application in a personalized environment. Our analysis (technological evidence) reveals various IoT devices that have already been applied in M-IoT adaptation settings to effectively support users. Our analysis reveals that only few empirically sound findings exist on how users actually perceive interactive adaptation features and redesign M-IoT applications. Based on the analysis of these empirically grounded findings, we suggest the development of a domain-specific user-centric adaptation feature. Specifically, we exemplify a tangible adaptation device for user-informed M-IoT application in home healthcare. It has been developed prototypically and tested in an environment for personalized home healthcare. Full article

(This article belongs to the Section Entrepreneurship, Innovation, FinTech Accounting and Industry 4.0)

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23 pages, 7218 KiB

Open AccessArticle

Can Online Consumer Reviews Identify Key Evidence Regarding Common Consumer Choices for High-Tech Pet Products?

by Huyen Ngoc Nguyen and Donghee Yoo

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1878-1900; https://doi.org/10.3390/jtaer18040095 - 16 Oct 2023

Viewed by 1360

Abstract

Online consumer reviews (OCRs) significantly influence consumer purchase decisions for new products. Therefore, today’s companies actively seek practical approaches for analyzing these OCRs. This study proposes a comprehensive method for OCR analysis using topic modeling and association rule analysis to overcome the current [...] Read more.

Online consumer reviews (OCRs) significantly influence consumer purchase decisions for new products. Therefore, today’s companies actively seek practical approaches for analyzing these OCRs. This study proposes a comprehensive method for OCR analysis using topic modeling and association rule analysis to overcome the current limitations in topic interpretation and topic overlap in text mining. Meanwhile, to examine the development of the high-tech industry and customer interest in the pet care field, this study synthesizes and analyzes reviews from consumers who are using healthcare products in the pet industry. To this end, we first collected 20,820 customer reviews from Amazon.com (accessed on 2 August 2023) for high-tech pet products and categorized them into three distinct product categories. Topic modeling was then conducted on each category, revealing five key topics per category. Subsequently, association rules analysis was performed on the customer reviews associated with the most representative topic. As a result, we were able to demonstrate that ‘satisfaction’ emerged as the most crucial topic across all three categories of high-tech pet products. Satisfaction is a topic expressing consumers’ attitudes after experiencing the product, and they used words to describe their feelings in the product reviews. A diverse range of associated terms was also identified that represented the essence of each product’s corresponding representative explanations. By leveraging these approaches, we are confident that pet product companies and market players will gain valuable insights into consumer preferences and behavior. Full article

(This article belongs to the Section e-Commerce Analytics)

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17 pages, 829 KiB

Open AccessArticle

Effects of Portion Number and Marital Status on Decision-Making Dependence When Using Food Delivery Applications

by Minjung Roh and Kiwan Park

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1861-1877; https://doi.org/10.3390/jtaer18040094 - 16 Oct 2023

Viewed by 1047

Abstract

Delivery applications represent more than just substitutes for phone calls when ordering food. Unlike phone calls, delivery applications not only facilitate orders and payments, but also assist users in narrowing down the multiple options to a final choice. This research focused on the [...] Read more.

Delivery applications represent more than just substitutes for phone calls when ordering food. Unlike phone calls, delivery applications not only facilitate orders and payments, but also assist users in narrowing down the multiple options to a final choice. This research focused on the extent to which users rely on delivery applications to make food-ordering decisions and examined how two factors—portion number and marital status—affect this dependence. The empirical results supported our prediction that (i) single-portion users depend more heavily on delivery applications than multiple-portion users, as the latter have no meal companions to consult; and (ii) unmarried (vs. married) users exhibited an even greater dependence on delivery applications in a single-portion-meal context, due to a weaker sense of responsibility for and agency over meal preparation. These findings illustrate how delivery applications can contribute to the expansion of delivery service markets by influencing food-ordering decision-making behavior. Full article

(This article belongs to the Section Digital Marketing and the Connected Consumer)

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23 pages, 3414 KiB

Open AccessReview

Consumer Acceptance of Fintech App Payment Services: A Systematic Literature Review and Future Research Agenda

by Rotana S. Alkadi and Salma S. Abed

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1838-1860; https://doi.org/10.3390/jtaer18040093 - 12 Oct 2023

Viewed by 2290

Abstract

This research has undertaken a systematic literature review (SLR) of articles focusing on the acceptance of fintech payment services by identifying 84 peer-reviewed articles published in international scientific journals from 2015 to April 2023. This paper uses the Scientific Procedures and Rationales for [...] Read more.

This research has undertaken a systematic literature review (SLR) of articles focusing on the acceptance of fintech payment services by identifying 84 peer-reviewed articles published in international scientific journals from 2015 to April 2023. This paper uses the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol to gather relevant articles and the theory, context, constructs, and methodology (TCCM) framework to analyse them. The conducted SLR has several findings. First, the Technology Acceptance Model (TAM) is the main theory used to examine consumers’ acceptance of fintech payment services. Second, studies in this area have been conducted in 24 countries, with a focus on Indonesia, Malaysia, and China. The study themes identified include fintech payment apps, Buy Now Pay Later (BNPL), mobile payment, fintech services, e-wallet, and Islamic Fintech. Third, the perceived usefulness, trust, perceived ease of use, and attitude are the four main constructs found to have a significant association with behavioural intention. Finally, most studies (64) rely on quantitative methods, particularly questionnaires. Based on the findings, this study identifies research gaps and provides a future research agenda. The review also has practical implications for policymakers and corporations in developing strategies and policies promoting the acceptance of fintech payment services. Limitations include B2C focus, exclusion of B2B behavior, lack of targeting specific user demographics, and reliance on secondary data. These present opportunities for further research. Full article

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18 pages, 1305 KiB

Open AccessArticle

Exploring Factors Affecting Mobile Government Services Adoption in the Egyptian Context

by Sherif Elbatanouny, Georgios Dafoulas and Noha Saleeb

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1820-1837; https://doi.org/10.3390/jtaer18040092 - 11 Oct 2023

Viewed by 1223

Abstract

This research intends to identify factors in the adoption of mobile government services, recognizing the main mobile government acceptance factors through different models, namely, the theory of reasoned action (TRA), the theory of planned behavior (TPB), the technology acceptance model (TAM), the technology [...] Read more.

This research intends to identify factors in the adoption of mobile government services, recognizing the main mobile government acceptance factors through different models, namely, the theory of reasoned action (TRA), the theory of planned behavior (TPB), the technology acceptance model (TAM), the technology readiness index (TRI), and the unified theory of acceptance and use of technology (UTAUT). Reviewing prior studies on factors that influence mobile government acceptance in Egypt and addressing local challenges help in the development of effective strategies for successful implementation, considering opportunities and challenges in value-added services (VAS). Therefore, the main objectives of this paper are as follows: we critically review prior studies to identify the main mobile government acceptance factors, explore the identified dimensions of mobile government acceptance, and recognize further insights into the challenges that exist in the Egyptian context. Data are gathered through interviews with technology experts and customers with technological experience in Egypt. The findings of the study show that the factors affecting mobile government adoption in the Egyptian context are identified as follows: facilitating conditions, opportunities and challenges, technology and information systems, perceived usefulness, challenges like a lack of trust, cost, privacy, age, and several other obstacles. This research assists scholars and practitioners with insights into how to create and promote an application that is deemed attractive for the adoption of m-government services. Full article

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21 pages, 2302 KiB

Open AccessArticle

The Meal Delivery Routing Problem in E-commerce Platforms under the Shared Logistics Mode

by Hualing Bi, Xiaoxue Zhu, Fuqiang Lu and Min Huang

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1799-1819; https://doi.org/10.3390/jtaer18040091 - 11 Oct 2023

Cited by 6 | Viewed by 1415

Abstract

The meal delivery routing problem faced by the e-commerce platform is challenging. In order to reduce the logistics cost and meet the needs of customers, a multi-objective meal delivery routing problem is studied under the shared logistics services mode (SLSM). In the meal [...] Read more.

The meal delivery routing problem faced by the e-commerce platform is challenging. In order to reduce the logistics cost and meet the needs of customers, a multi-objective meal delivery routing problem is studied under the shared logistics services mode (SLSM). In the meal delivery problem, the third-party logistics providers need to arrange vehicles in the multi-depot to pick up meals from multiple food providers and deliver them to customers, so as to realize the sharing of logistics services between food providers and compare them with the traditional logistics service mode (TLSM). While realizing sharing, it is also necessary to meet customer time requirements as much as possible. In this case, a multi-objective mathematical model to minimize customer dissatisfaction and delivery cost is established, and the linear weighting method is employed to transform the model. An improved Ant Lion Optimizer (IALO) is proposed to solve the problem, and compared with other algorithms. The experiments verified the effectiveness of the proposed algorithm and show that SLSM can save logistics costs and meet customer needs more than TLSM, and provide certain reference opinions for the e-commerce platform. Full article

(This article belongs to the Section e-Commerce Analytics)

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2 pages, 219 KiB

Open AccessComment

Evolution of the Online Grocery-Shopping Experience during the COVID-19 Pandemic: An Empiric Study from Portugal. Comment on Gomes, S.; Lopes, J.M. Evolution of the Online Grocery Shopping Experience during the COVID-19 Pandemic: Empiric Study from Portugal. J. Theor. Appl. Electron. Commer. Res. 2022, 17, 909–923

by Leo Van Hove

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1797-1798; https://doi.org/10.3390/jtaer18040090 - 07 Oct 2023

Viewed by 730

Abstract

This comment points out that Lopes and Gomes, in their study on Portugal, erroneously conclude from their results that “being female negatively influences the online grocery shopping experience during the COVID-19 pandemic”. In fact, gender is insignificant. Full article

(This article belongs to the Section e-Commerce Analytics)

33 pages, 875 KiB

Open AccessArticle

Conceptualization and Survey Instrument Development for Over-the-Top Platforms’ Usability

by Aycan Pekpazar, Muhammed Cagri Coskun and Cigdem Altin Gumussoy

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1764-1796; https://doi.org/10.3390/jtaer18040089 - 01 Oct 2023

Viewed by 1916

Abstract

OTT (over-the-top) streaming is a subscription-based video service model that delivers video-on-demand content, films, and series directly to end-users over the Internet, bypassing the need for traditional satellite receiver systems. The most popular OTT service providers include Netflix, Hulu, Amazon Prime, and Disney+. [...] Read more.

OTT (over-the-top) streaming is a subscription-based video service model that delivers video-on-demand content, films, and series directly to end-users over the Internet, bypassing the need for traditional satellite receiver systems. The most popular OTT service providers include Netflix, Hulu, Amazon Prime, and Disney+. During the COVID-19 pandemic, the viewership rates and subscriber numbers for OTT platforms rapidly increased. Like various other products and systems, usability problems can substantially impact user satisfaction, loyalty, and the intention to continue using OTT services. Therefore, this study aimed to conceptualize the usability of OTT platforms and develop an OTT Usability Measurement Scale for the usability evaluation of OTT platforms based on the Apple tvOS Guidelines and the literature. OTT platform usability was conceptualized with nine constructs, including Accessibility and Customization, Account Management, Data Entry and Search, Branding, Privacy, Navigation, Help, Content, and Design, and the concepts were measured with a scale including 48 items. The validity of the developed scale was tested through two separate survey studies conducted with Netflix web application users. The first survey involved 650 participants. At this stage, an exploratory factor analysis was used to evaluate the scale’s measurement properties, and the developed factor structure was confirmed. In the second stage, a survey with 600 participants was conducted, and a confirmatory factor analysis was applied to validate the scale properties. Furthermore, a nomological validation of the developed scale was performed, examining the relationship between the acquired OTT factors and elements such as continued intention to use, satisfaction, and brand loyalty. As a result of the nomological validation, it was observed that the privacy and design factors significantly affected each of the three dependent variables. Full article

(This article belongs to the Section Digital Marketing and the Connected Consumer)

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23 pages, 1926 KiB

Open AccessArticle

Influencer Engagement on Social Media: A Conceptual Model, the Development and Validation of a Measurement Scale

by Nataly Levesque and Frank Pons

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1741-1763; https://doi.org/10.3390/jtaer18040088 - 01 Oct 2023

Viewed by 4234

Abstract

This research aims to conceptualize, develop, and validate a specific instrument for measuring the engagement of followers towards influencers on social media, and more specifically, in this first research, on Instagram. We surveyed (in-depth interviews, and questionnaires) 32 marketing experts and 1170 Instagram [...] Read more.

This research aims to conceptualize, develop, and validate a specific instrument for measuring the engagement of followers towards influencers on social media, and more specifically, in this first research, on Instagram. We surveyed (in-depth interviews, and questionnaires) 32 marketing experts and 1170 Instagram followers. Based on the applications of factor analysis and structural equation modelling, we determined 21 valid items. The scale assesses the cognitive, affective, and behavioral characteristics of follower’s engagement across five dimensions. The results provide insight into the interactive, personal, and social aspects of this type of virtual engagement. It is the first scale to measure this engagement in a multidimensional framework, which advances future research. Additionally, it will help managers identify the strongest dimensions of their influencers’ engagement and thus be able to adjust marketing communication strategies to foster multidimensional follower engagement and subsequent partnerships. Full article

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20 pages, 653 KiB

Open AccessArticle

Bilateral Pricing of Ride-Hailing Platforms Considering Cross-Group Network Effect and Congestion Effect

by Jing Li, Hongfu Huang, Li Li and Jieyu Wu

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1721-1740; https://doi.org/10.3390/jtaer18040087 - 30 Sep 2023

Viewed by 1036

Abstract

The pricing of ride-hailing platforms (e.g., Didi Rider and Uber) is heavily and simultaneously influenced by the cross-group network effect and congestion effect. To analyze the bilateral pricing of ride-hailing platforms under the influence of these two effects, in this paper we construct [...] Read more.

The pricing of ride-hailing platforms (e.g., Didi Rider and Uber) is heavily and simultaneously influenced by the cross-group network effect and congestion effect. To analyze the bilateral pricing of ride-hailing platforms under the influence of these two effects, in this paper we construct a game-theoretic model under four different scenarios and analyze the equilibrium outcomes. The results show that: (1) when both passengers and drivers are sensitive to hassle costs, if the cross-group network effect on the passenger side is higher than that on the driver side, then the platform’s pricing on both sides increases with the increase in the congestion effect, otherwise the prices on both sides of the platform decrease with the increase in the congestion effect; (2) when passengers are sensitive to hassle costs and drivers are sensitive to price, if the ratio for passengers’ and drivers’ different perceptions of price and hassle cost is greater than a certain threshold, then the platform’s pricing on the passenger side increases with the increase in the congestion effect and the platform’s pricing on the driver side decreases with the increase in the congestion effect, otherwise the platform’s pricing on the passenger side decreases with the increase in the congestion effect and the platform’s pricing on the drivers’ side increases with the increase in the congestion effect; (3) when passengers are sensitive to price and drivers are sensitive to hassle costs, if the ratio for passengers’ and drivers’ different perceptions of price and hassle costs is greater than a certain threshold, then the platform’s pricing on the passenger side decreases with the increase in the congestion effect and the platform’s pricing on the drivers’ side increases with the increase in the congestion effect, otherwise the platform’s pricing on the passenger side increases with the increase of the congestion effect and the platform’s pricing on the driver side decreases with the increase in the congestion effect; (4) when both passengers and drivers are price-sensitive, if the cross-group network effect on the passengers’ side is larger than that on the drivers’ side, then the platform should decrease its pricing on both sides with the increase in the congestion effect, otherwise, if the cross-group network effect on the passengers’ side is less than that on the drivers’ side, the platform should increase its pricing on both sides with the increase in the congestion effect; (5) the platform is able to generate the highest profit in each scenario, and the results of the profit comparison between the four scenarios depends on the cross-group network effects and the congestion effects on both the passengers’ and the drivers’ sides. Full article

(This article belongs to the Section e-Commerce Analytics)

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21 pages, 994 KiB

Open AccessArticle

The Business Digitalization Process in SMEs from the Implementation of e-Commerce: An Empirical Analysis

by José Manuel Santos-Jaén, Fernando Gimeno-Arias, Ana León-Gómez and Mercedes Palacios-Manzano

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1700-1720; https://doi.org/10.3390/jtaer18040086 - 26 Sep 2023

Cited by 2 | Viewed by 3419

Abstract

The main objective of this research is to carry out a comprehensive analysis of how e-commerce affects the performance of small and medium-sized enterprises (SMEs) in Mexico. This study will pay special attention to the role of business digitalization and the optimization of [...] Read more.

The main objective of this research is to carry out a comprehensive analysis of how e-commerce affects the performance of small and medium-sized enterprises (SMEs) in Mexico. This study will pay special attention to the role of business digitalization and the optimization of operational processes in this context. Our research involved creating a partial least squares structural equation model (PLS-SEM) to examine our hypotheses. According to our research, incorporating e-commerce, digitalizing business processes, and improving operational efficiency significantly contribute to corporate performance. Our results show direct effects that, together with indirect effects of business digitalization and operational efficiency, enhance the positive influence of online commerce. This research fills a gap in the literature by investigating the relationship between e-commerce, business digitalization, operational efficiency, and business performance. It provides essential insights into the direct impact of e-commerce on corporate performance and the indirect impact through the mediation of business digitalization and operational efficiency. The results show significant implications for business managers, as the findings can help them to invest in technologies that foster e-commerce, which, by improving business digitalization and operational efficiency, will result in better corporate performance and the ability to adapt to today’s turbulent environment. Full article

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13 pages, 1314 KiB

Open AccessArticle

Could Food Delivery Involve Certified Quality Products? An Innovative Case Study during the SARS-CoV-2 Pandemic in Italy

by Mattia Rapa, Vanessa Giannetti, Maurizio Boccacci Mariani, Federico Di Francesco and Alessandro Porpiglia

J. Theor. Appl. Electron. Commer. Res. 2023, 18(4), 1687-1699; https://doi.org/10.3390/jtaer18040085 - 22 Sep 2023

Viewed by 862

Abstract

This study evaluates the feasibility of a new food delivery service involving only food products with quality certification. In particular, through an ad hoc survey, it evaluates the influence of consumers’ personal characteristics and choice motives on joining this innovative service and the [...] Read more.

This study evaluates the feasibility of a new food delivery service involving only food products with quality certification. In particular, through an ad hoc survey, it evaluates the influence of consumers’ personal characteristics and choice motives on joining this innovative service and the willingness to pay of the respondents. A survey was completely anonymously and voluntarily administered during the SARS-CoV-2 pandemic. A total of 630 answers were collected. Logit and ordinal logit regression were carried out to analyze data. Women and respondents who have more leisure time are more likely to join the service. The analysis of choice motives suggests that consumers more concerned with food quality, and those devoting a higher weekly budget to buying groceries are more likely to be interested in the proposed service. Individuals willing to buy groceries based on certifications and organoleptic properties and people who habitually consume one to five meals outside were more likely to be willing to increase their weekly budget to join the service. To the best of our knowledge, this is the first study evaluating the influence of personal characteristics and choice motives on an innovative food delivery service involving only certified quality products in Italy. Full article

(This article belongs to the Section Entrepreneurship, Innovation, FinTech Accounting and Industry 4.0)

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J. Theor. Appl. Electron. Commer. Res., Volume 18, Issue 4 (December 2023) – 30 articles

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