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Internet and communication technologies have been growing at a rapid pace, enabling data sharing and many other applications. Online trading and e-commerce are important applications that provide ease of business as well as flexibility for buyers. In this paper, we provide an overview of social commerce (s-commerce) in the context of Saudi Arabia. This paper explains s-commerce, the background of Saudi Arabia, and its digital economy vision. This paper also highlights the importance of social media and networking, as well as novel web technologies for s-commerce. We also highlight the research gap in the analysis of s-commerce potential in the Saudi market. This paper conducts a detailed analysis of s-commerce in Saudi Arabia based on a sequential explanatory research design with a quantitative and qualitative phase. The quantitative phase involves a survey based on 504 responses. The qualitative phase involves interview questions of 25 participants. Based on this study, seven themes (each with two or more factors) to enhance s-commerce in Saudi Arabia were identified. Finally, future opportunities and challenges are also discussed in detail. [ABSTRACT FROM AUTHOR]

There is growing environmental concern regarding the increasing quantity of packages in retail eCommerce. This study investigated the environmental impact of two returnable packaging formats, performing life cycle assessment (LCA) case studies based on the Canadian apparel eCommerce market. In case study 1, the brand owner sold and shipped its products to final consumers using an expendable mailer and a returnable mailer that was managed and supplied via the centralized model. In case study 2, the brand owner rented its products to final consumers and shipped them using an expendable corrugated paperboard box and a returnable box that was managed and supplied via the decentralized model. Comparative, contribution, and sensitivity analyses were conducted to analyze and compare the environmental performance of these packaging options. For case study 1, the LCA revealed that the returnable mailer had greater impact than the expandable mailer in 9 of the 10 environmental impact categories, even if the returnable mailer was reused for 40 cycles and the final consumer was in the same city as the brand owner; this was primarily due to the length of transportation. For case study 2, the returnable box had smaller environmental impact than the expendable corrugated paperboard box in 6 of the 10 environmental impact categories, even though the brand owner shipped packages to final consumers a cumulative distance of 9000 km from its starting location. The overall results imply that the environmental burden of returnable packaging is primarily affected by total trip distance and the number of reuses. [ABSTRACT FROM AUTHOR]

With last-mile logistics being the most important component of delivery, the rapid growth of electronic commerce has also led to a surge in logistical complexity. Because users prefer to have their purchases delivered to their homes, this is one of the biggest challenges facing e-commerce. Many times, deliveries cannot happen because the recipients are not at the agreed delivery point. This causes the quality of service to decrease and distribution costs to increase. Based on this information, the present paper studies the role which Automated Parcel Lockers (APLs) have in addressing flaws in the urban last-mile delivery system. It is clear that e-commerce is on an ascending path, continuously developing, while traditional methods of delivery often encounter challenges such as high costs, increased impact on the environment, or customer dissatisfaction. APLs are part of a promising solution offering advantages such as improved delivery efficiency and customer satisfaction while reducing carbon emissions. The research methodology included a review of the literature on the subject, examination of industry reports and various case studies. The results provided an ambivalent perspective of both advantages and challenges which this system of delivery provides. Among the benefits, operational cost savings and reduced environmental impact are worth mentioning, while the challenges bring forward matter such as high installation costs or accessibility concerns. The findings also suggest that APLs require, for a successful integration in logistic operations, overcoming barriers of a technical and financial nature. The paper concludes with a broad perspective on the future development of APLs and necessary research directions. The importance of investigating further technological integration of these means, while adapting to both urban and rural conditions is also emphasized.

Information Systems (IS) research has proposed digital nudges as a promising toolset for supporting consumers in making better decisions. However, there is a vivid academic debate regarding the ethical underpinnings of nudging and potential measures to alleviate ethical concerns. One particularly promising approach to digital nudging is leveraging salience effects. Yet, the potential of digital salience nudges remains underexplored in IS literature, and little is known about how measures proposed to alleviate ethical concerns affect their behavioural impact. In a preregistered online experiment (N = 600), we assess the effects of a digital salience nudge on the healthiness of food product choices. Additionally, we examine how two proposed ethical measures, namely transparency and self-nudging, influence the nudge's effects. We find that implementing the digital salience nudge in an online supermarket decreased the proportion of unhealthy food products chosen by 63% and increased the proportion of healthy alternatives by 30%. Notably, disclosing transparent information about the nudge did not impact its effectiveness. Offering the nudge as a self-nudge led to comparable effects to a preset nudge when combined with transparent information. We conclude that digital salience nudging is effective and that nudges can be ethically designed without compromising their behavioural impact. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has accelerated global digitalization, leading to significant changes in consumer behavior. This study investigates the impact of digital technologies on consumer behavior in the post-pandemic era, focusing on how digital marketing campaigns influence purchasing decisions. Through the analysis of data collected from the Google Ads campaigns of an online store, quantitative research was conducted to identify emerging trends and changes in consumer preferences. The results highlight a significant increase in online transactions, a growing preference for personalized digital interactions, and a greater reliance on mobile platforms. The conclusions underscore the importance of adapting marketing strategies to the new digital realities and offer recommendations for companies to optimize their online presence. The study contributes to a deeper understanding of how digital technologies shape consumer behavior in the post-pandemic context. [ABSTRACT FROM AUTHOR]

Commercial social media (social commerce in emerging market) have increasingly been used in many emerging markets as an evolutionary form of ecommerce. While this trend has recently been examined from an e-vender's perspective, little is known about how customers, specifically female millennials, perceive of their shopping experiences with commercial social media in relation to ecommerce. Thus, this study explores the underlying motivations for using one e-retailing type over the other. We consider the social constructs of trust, customer service quality and web design in the study. Drawing data from 20 in-depth interviews with young Omani women, the study revealed that ecommerce is most preferred to commercial social media. It highlights the role of unethical marketing practices; unsystematic delivery costs; unprofessional customer service quality; underdeveloped local market and uneasiness of commercial social media in influencing the decision-making of the customers to shift to ecommerce. The study further points to the intersection between product's price, quality and information in building trust; the role of professionalism, responsiveness and empathy in enhancing customer service quality; the importance of product quality and variety in the local market; and the easy navigation and online payment of e-retailing platforms. The study bears implications on enhancing the features and services of commercial social media. It also calls for transforming the local market to meet the customers' needs. [ABSTRACT FROM AUTHOR]

The development of digital technology means that creators can now use e-commerce platforms to sell their digital design works. However, the ease of access and digital nature of these designs raises concerns about potential copyright infringement. This is an article on the legal protection of digital design works sold on digital e-commerce platforms. Digital intellectual property, such as logos, illustrations, and icons, must be protected. In today's internet age, creators use e-commerce platforms as one of the main ways to sell their works to customers around the world. However, the ease of access and digital nature of these design works make copyright infringement easier. The researcher used normative legal research. Research with normative methods is conducted by examining literature sources as secondary data. In normative legal research, literature documents serve as a foundation of information to serve the research field. This research data is categorized as secondary data because it is obtained from a collection of rule-based literature reviews. especially intellectual property rights law, especially copyright and copyright of online magazines and digital works. The results show that digital design itself gets protection against ownership of intellectual property rights and gets exclusive rights to its creation for the creator. Efforts to resolve graphic design copyright issues; temporary legal remedies, civil legal remedies, and criminal legal remedies. [ABSTRACT FROM AUTHOR]

E-commerce application usability refers to the design and functional aspects that facilitate user interaction and goal achievement. Well-designed usability of e-commerce applications will lead to usage continuance by users. Therefore, this study tries to identify usability factors and measure the effect of usability on usage continuance. Based on previous studies, the variables hypothesized to be the factors that define usability are learnability, efficiency, memorability, accuracy, emotion, and utility. Utility is a variable that represents the functional aspects of usability. It is described in more detail into information search, interface display, and transaction. Furthermore, this study also examined the relationship between usability, usage continuance, satisfaction, and usefulness. This study’s hypotheses were evaluated using 242 survey responses from e-commerce application users. Structural equation modeling, or SEM, was applied to process the empirical data. Memorability, accuracy, efficiency, and utility were found to be able to describe the usability of e-commerce applications well. This proved that functional quality is also an essential part of usability. Usability was found to influence usage continuance. [ABSTRACT FROM AUTHOR]

This study aims to analyze the factors that influence consumer purchasing decisions on the Tokopedia ecommerce platform in Bandung City. The factors evaluated include product quality, price, platform ease of use, consumer trust, promotion, and customer service. This research uses a quantitative approach with a survey method distributed to consumers in Bandung City who have made purchases on Tokopedia. The data were analyzed using multiple linear regression to determine the effect of each factor on purchasing decisions. The results showed that product quality, price, and consumer trust have a significant influence on purchasing decisions, while other factors such as ease of use of the platform, promotions, and customer service have a lower but still important influence. The findings provide insights for e-commerce players in improving marketing and operational strategies to attract more consumers. From the results of the study, it can be concluded that the factors of product quality, price, and consumer trust are the main factors that influence consumer purchasing decisions on Tokopedia in Bandung City. [ABSTRACT FROM AUTHOR]

The use of e-commerce in trade has had a big impact on Indonesian society, especially in terms of very important legal issues. Legal protection in e-commerce is crucial to protect consumers who make buying and selling transactions via the internet. This development is driven by high demand and acceptance from the public, as evidenced by the emergence of various online stores such as Kaskus, Tokopedia, Bukalapak, Shopee, and Lazada. Rapid advances in technology have changed the method of buying and selling from physical stores to online transactions via the internet. E-commerce, as an information technology innovation, allows consumers to make transactions with just the touch of a finger without having to leave the house. However, the variety of e-commerce platforms available increases the potential for legal issues in online transactions. This research aims to understand how to legally protect consumers and help them if losses occur in e-commerce transactions. The method used is a normative approach, by reviewing literature and secondary data related to consumer legal protection in e-commerce transactions. [ABSTRACT FROM AUTHOR]

In the swiftly evolving domain of online commerce, the significance of recommendation systems has risen alongside the rapid expansion of internet usage over the past decade. As online commerce continues to thrive, recommendation systems serve a crucial function in steering users towards pertinent products amidst the expansive online environment. Nonetheless, conventional collaborative filtering algorithms often encounter challenges such as sparse data and shifting user preferences, necessitating innovative approaches. Our proposed recommendation system aims to tackle these hurdles by seamlessly blending collaborative filtering and content-based filtering methodologies. It will offer product suggestions for both new and existing users. Through thorough examination of users' past purchasing behaviors, patterns, and feedback, our system customizes recommendations precisely to cater to existing users' needs. The initial stage involves feature extraction, wherein both content-based and collaborative features are obtained by creating user profiles, computing content similarity, identifying related items, generating recommendations, and suggesting items. Additionally, new users will receive recommendations for novel and trending products. Leveraging the Walmart Product rating Dataset, our system continuously enhances recommendations based on evolving user interactions, thus optimizing engagement and satisfaction levels. This study underscores the pivotal role of advanced recommendation techniques in transforming the online commerce landscape, ensuring informed purchasing decisions, heightened user satisfaction, and increased sales. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to determine the factors that influence the increase in MSMEs income such as e-commerce, capital and business experience. The type of data used is primary data using a sample of 47 MSMEs located on Soekarno Hatta Street, Binjai City, Indonesia. Method: The data collection method used a questionnaire while the data analysis method used was multiple linear regression analysis. Result: The results of this study indicate that e-commerce influences increasing MSMEs income, capital has an effect on increasing MSMEs income, and business experience has no effect on increasing MSMEs income. Originality/ relevance: From the results of this study, it can be explained that the factors that influence the sustainability of MSMEs include the use of digital technology in the form of ecommerce and strong capital, while business experience has no impact on increasing the income of these MSMEs.

Pembelajaran bahasa Arab di Taman Kanak-kanak (TK) Aisyiah menjadi fokus utama untuk meningkatkan efektivitas dan keterlibatan siswa prasekolah. Untuk mencapai tujuan tersebut, diusulkan pembangunan "Sistem Pembelajaran Bahasa Arab Berbasis Aplikasi Multimedia Interaktif" sebagai solusi inovatif. Pemilihan teknologi aplikasi multimedia interaktif bertujuan untuk menciptakan pengalaman pembelajaran yang menarik dan efektif. Multiemdia Interaktif yang digunakan dalam aplikasi ini untuk memfasilitasi penilaian kemampuan Bahasa Arab anak-anak, memproses informasi dengan cepat, dan memberikan umpan balik yang relevan. Tantangan yang dihadapi mencakup keberlanjutan teknologi, pelatihan reguler bagi guru TK Aisyiah dalam penggunaan aplikasi multimedia, dan upaya memperkenalkan multimedia kepada para siswa. Solusi yang diusulkan melibatkan pembuatan aplikasi multimedia interaktif pembelajaran Bahasa Arab yang mewadahi pembelajaran dasar Bahasa arab untuk anak, pelatihan berkala untuk meningkatkan literasi teknologi guru, dan penerapan aplikasi pembelajaran yang intensif. Proyek ini bertujuan untuk mempermudah guru dalam mengelola pembelajaran Bahasa Arab. Efisiensi dan efektivitas pembelajaran Bahasa Arab di TK Aisyiah diharapkan dapat ditingkatkan secara signifikan.

Background: Online buying and selling through marketplace platforms such as Ecommerce is increasingly prevalent in Indonesia. The convenience and practicality offered by this platform attracts many consumers to shop online. However, behind this convenience, there are potential problems that can harm consumers, one of which is the delay in delivery of goods, consumers as aggrieved parties need legal protection. Objective: To analyze the form and scope of legal protection provided to consumers for delays in the delivery of goods in online buying and selling on E-commerce, to find out the dispute resolution efforts that consumers can do if they experience delays in the delivery of goods in online buying and selling on E-commerce, and to formulate suggestions and recommendations to improve legal protection for consumers and minimize the occurrence of delays in the delivery of goods in sales buy online in Ecommerce Methods: This study uses normative legal methods with primary data in the form of laws and regulations and secondary data in the form of legal literature and E-commerce websites. Results: The results of the study show that legal protection for consumers for delays in the delivery of goods in online buying and selling in E-commerce is still not optimal Conclusion: Legal protection for consumers for delays in the delivery of goods in online buying and selling in E-commerce is still not optimal. This can be seen from several factors, including the lack of education and socialization to consumers about their rights, the lack of optimal consumer dispute resolution mechanisms in E-commerce, the lack of transparency of E-commerce in the process of shipping goods and the lack of cooperation between E-commerce and logistics companies. [ABSTRACT FROM AUTHOR]

Driven by motives of profit and competition, fake reviews are increasingly used to manipulate product ratings. This trend has caught the attention of academic researchers and international regulatory bodies. Current methods for spotting fake reviews suffer from scalability and interpretability issues. This study focuses on identifying suspected fake reviews in the hospitality sector using a review aggregator platform. By combining features and leveraging various classifiers through a stacking architecture, we improve training outcomes. User-centric traits emerge as crucial in spotting fake reviews. Incorporating SHAP (Shapley Additive Explanations) enhances model interpretability. Our model consistently outperforms existing methods across diverse dataset sizes, proving its adaptable, explainable, and scalable nature. These findings hold implications for review platforms, decision-makers, and users, promoting transparency and reliability in reviews and decisions. [ABSTRACT FROM AUTHOR]

Summary: We investigate applying and extending an exhaust data framework, using an empirical analysis to explore and compare different predictive analytic capabilities of both internal and external exhaust data for estimating sales. We use internal exhaust data that explores the relationship between app usage and web traffic data and estimation of sales and find the ability to predict sales at least 4 days ahead. We also develop predictive models of sales, using external data of Google searches, extending the previous research to include additional macroeconomic Google variables and Wikipedia pageviews, finding that we can predict at least 4 months ahead, suggesting a portfolio of exhaust data be used. We introduce the roles of internal and external exhaust data, direct and indirect exhaust data and transformed exhaust data, into an exhaust data framework. We examine what appear to be different levels of information fineness and predictability from those exhaust data sources. We also note the importance of the types of devices (e.g., mobile) and the types of commerce (e.g., mobile commerce) in creating and finding different types of exhaust. Finally, we apply an existing exhaust data framework to develop macroeconomic data exhaust variables, as the means of capturing inflation and unemployment information, using Google searches. [ABSTRACT FROM AUTHOR]

Competition in the e-commerce industry is becoming increasingly fierce with the emergence of various platforms offering similar products and services. In response to this competition, Shopee, one of the e-commerce platforms with the highest number of site visits, has adopted augmented reality (AR) technology in its BeautyCam and SkinCam features. These mobile applications, which support AR features, enable marketers and companies to provide detailed information to consumers about products and services, thereby influencing consumer perceptions. The purpose of this study was to evaluate behavioral intention towards the AR-based Shopee application feature using the Technology Acceptance Model (TAM). In this study, TAM was used to measure perceptions of the usefulness of information technology (Perceived Usefulness), ease of use (Perceived Ease of Use), and perceived enjoyment, which affect individual attitudes toward using information technology (Attitude Towards Using). This, in turn, determines the degree of a person's intention to use information technology (Behavioral Intention). The research employed a quantitative approach by distributing questionnaires to users of Shopee's BeautyCam and SkinCam features. Data analysis was conducted using Partial Least Squares - Structural Equation Modeling (PLS-SEM). [ABSTRACT FROM AUTHOR]

This paper explores the transformative role of e-commerce in the emerging Moldovan fashion market, focusing on the digital expansion of local designers. It examines the industry's shift from traditional manufacturing to innovative online sales channels, highlighting the challenges and opportunities this transition presents, including the need for new skills, legal framework adaptability, and investment. The study also discusses the impact of the COVID-19 pandemic, which accelerated the adoption of e-commerce among Moldovan fashion firms. With the support of programs like the Fashion Omnichannel Mentorship Program, these firms are enhancing their digital presence and competitiveness. The paper emphasizes the importance of mentorship and tailored support in enabling Moldovan brands to thrive in the digital marketplace, contributing to their growth and success in the global fashion industry.

In the digital world, borders between countries are fading, and many people keep making more and more online purchases, often from offshore vendors. Cross-border e-commerce is a game-changer for international trade but poses serious challenges for traditional customs procedures. As the number of parcels continues to grow rapidly, customs authorities around the world strive to balance between effective revenue collection, trade facilitation, and proper safety controls. At the EU level, significant revenue losses and competition distortion have led to changes in VAT rules with a key policy objective to fight tax fraud in e-commerce and reduce the administrative burden of VAT collection. The VAT e-commerce package that came into force on July 1, 2021, includes measures on imports of low-value goods from third countries. The adopted solution imposes liability on digital platforms that play a crucial role in the rise of B2C internet sales. This article provides an overview of e-commerce global trends and challenges, international organizations’ initiatives, emerging technology pilots, as well as best practices. It also offers a critical description of the new EU VAT provisions that have a severe effect on customs. Moreover, it describes the design, functional, and interoperability specifications of a proposed web-based application that enables buyers to lodge customs declarations themselves, aiming for improved transparency on import-related charges and more effective e-government at a more general level through the digital transformation of customs clearance. Doi: 10.28991/ESJ-2024-08-01-024 Full Text: PDF

The volume of online shopping compared to offline shopping and the speed of change in consumer behavior from online to offline in Iran is much lower than the world average. Therefore, this research aims to design and validation of the change in the end-user's behavior model from offline to online in the FMCGs group. A mix of qualitative (grounded Theory) and quantitative (structural equation modeling) methods are used to identify components, indicators, and the relationship between them. In the qualitative section, the study population is experts in offline and online marketing and sales of FMCGs, and in the quantitative section, all online customers of FMCGs. In the qualitative section, 10 experts were selected by snowball sampling and in the quantitative section by Cochran's formula, 384 people were determined by simple random sampling. Semi-structured interviews were used to collect qualitative data, whereas questionnaires were used to collect quantitative data. Content validity and face validity were confirmed by the Delphi technique, construct validity and questionnaire structure by confirmatory factor analysis, reliability by Cronbach's alpha coefficient, and composite reliability in SmartPLS and SPSS softwares. MAXQDA software was used to analyze qualitative data. Kolmogorov-Smirnov test for normality, the Friedman test for prioritizing components and indicators, and the structural equation modeling test for path analysis and model validation were used to analyze quantitative data. In the qualitative results, 8 components and 60 indicators were confirmed. Ranking of components based on quantitative results includes consumer decision-making structure, the consequences of consumer behavior in online platforms, FMCGs competitive advantage, consumer behavior models, marketing and advertising communication channels, consumer innovation, technology and e-commerce acceptance and marketing strategies. [ABSTRACT FROM AUTHOR]

eCommerce platforms became a centre of attraction and being widely used by Malaysian when the Covid-19 pandemic hit the country. This forceful paradigm shift, however, had contributed generously to the GDP of the country. Sarawak being the largest state in Malaysia, is expected to contribute the highest Gross Domestic Product (GDP), however, this is not the case. Nonetheless, the Sarawak State Government had deployed the Sarawak Digital Economy Strategy 2018-2022 blueprint as one of their initiatives to position Sarawak as a high-income state. To boost Sarawak's Digital Economy, promoting and implementing eCommerce is crucial. Yet, the key challenge lies in ensuring full acceptance and adoption of this transformative approach by all stakeholders. Therefore, this research was carried out to offer valuable insights to the state government regarding the factors that influence the sustainability of current eCommerce platforms in Sarawak. The date collected from Sarawakians served as the foundation for this study. Data from 130 individuals residing in Sarawak was collected through e-survey, employing a quantitative research method. The findings indicate that the sustainability of an eCommerce platform in Sarawak is influenced by the extent to which it aids users in achieving their objectives. Additionally, the Sarawak community's awareness of the advantages and risks associated with using eCommerce platforms was identified as another factor impacting platform sustainability. In summary, this study highlights significant factors that can contribute to the development of Sarawak's Digital Economy. By identifying these variables, it provides valuable insights that can serve as a call to action for the state government. [ABSTRACT FROM AUTHOR]

This research activity aims to analyze the influence of age on Tokopedia's brand awareness and the attractiveness of Tokopedia's online advertising to the audience. The research methodology used is a quantitative approach with survey methods. The survey acquisition data is then processed using the SPSS application. The results showed that the age variable did not significantly influence Tokopedia's brand awareness or the attractiveness of Tokopedia's online advertising to the audience. This study concludes that technological developments also have an impact on bringing progress and development in various fields. The Industrial Revolution 4.0, limited mobility due to the pandemic, and the discourse on the application of Society 5.0 have also encouraged the development of the internet and technology and its application to various aspects of life and the work sector. [ABSTRACT FROM AUTHOR]

Research on online product reviews has examined a variety of issues ranging from reviewers' motivation to write reviews to the impact of reviews on product sales. Implicit in this research stream is the notion that more reviews are better for sellers and consumers. However, it is unclear whether both retailers, who control the review platform, and manufacturers, whose products are reviewed, prefer more reviews over fewer reviews. Using a game theoretical model of a context in which a dominant retailer sells competing products from two manufacturers to consumers who are uncertain about product quality and fit, we show that the retailers' and manufacturers' preferences regarding the number of reviews are not always aligned. The nature of misalignment depends on whether the quality or the fit is more dominant in terms of consumers' evaluation of products. If generating reviews do not cost anything, we found that additional reviews always benefit the retailer; however, if the number of reviews exceeds a threshold in the quality-dominates-fit case scenario, they may be harmful to the manufacturer. On the other hand, if the retailer incurs a sufficiently high cost to generate reviews, the retailer may prefer to have fewer reviews. We show that retailers can exploit the divide between retailers' and manufacturers' preferences for reviews and monetize reviews by charging a fee to the manufacturers in return for a guarantee on the number of reviews that they generate. We show that the product type and review platform design play a significant role in the attractiveness of review monetization for retailers. Even if reviews are monetized, we determined that retailers' revenue from "selling" reviews to manufacturers does not exceed the cost of generating reviews, implying that the benefit from reviews is driven the positive impacts of reviews on the retailer's core business of selling products to consumers. However, in the fitdominates- quality case scenario, retailers do not prefer large numbers of reviews whereas manufacturers do. In this case, we found that retailers are unable to exploit the misalignment between retailers' and manufacturers' preferences for reviews through review monetization. [ABSTRACT FROM AUTHOR]

The Ganesha festival has great cultural significance in the India which demands efficient organization with seamless communication between the organizer’s committees and devotees. To make it simple and easy, we are presenting “Data- Driven Ganesha Festival Management”. The system has multiple modules which includes an Ecommerce Platform for Ganesha Idols, Slot booking module for Ganesha Immersion, Request Module for Ammonium powder, Tank-on-wheel Request module etc. The main module of our system is an advanced NLP based Chatbot grievance system which has ability to solve the queries of devotees 24/7 and helps to reduce human intervention. Our advanced chatbot grievance system works with NLP and Machine Learning algorithms to ensure correct responses which enhances festival experience and helps to optimize resource allocation during festival. Our system uses collected data from past year’s festival events for Data Analytics, Covers Descriptive, Prescriptive, Sentiment, Machine Learning and Linear Regression analyses. After integrating all these technologies together, Our Data Driven Ganesha Festival Management System helps organizers with useful insights for resource allocation as well as optimization, Vendor Selection, Ticket Pricing and for event scheduling. Predictive analysis helps to predict future festival trends which allows proactive planning and improves festival experience. Our research links tradition with modern technology to celebrate festivals more innovatively. [ABSTRACT FROM AUTHOR]

Urban freight systems embed and reflect spatial inequities in cities and imbalanced power structures within transport decision-making. These concerns are principal domains of "transportation justice" (TJ) and "mobility justice" (MJ) scholarship that have emerged in the past decade. However, little research exists situating urban freight within these prevailing frameworks, which leaves urban freight research on socio-environmental equity and justice ill-defined, especially compared to passenger or personal mobility discussions. Through the lens that derives from TJ and MJ's critical dialogue, this study synthesises urban freight literature's engagement with equity and justice. Namely, the review evaluates: How do researchers identify equitable distributions of urban freight's costs and benefits? At what scale do researchers evaluate urban freight inequities? And who does research consider entitled to urban freight equity and how are they involved in urban freight governance? The findings help inform researchers who seek to reimagine urban freight management strategies within broader equity and justice discourse. [ABSTRACT FROM AUTHOR]

Purpose: This study aim is to provide a model for evaluating online stores, using the hierarchical analysis method and fuzzy theory. Methodology: The present study is an applied researche whose information has been collected according to expert opinions and then the result has been examined using multi-criteria decision models. Findings: The results show that user privacy is most important factors in online shopping. Overall, the results of this study provide a model for decision-makers to help them improve key performance index in ecommerce service design. Originality/Value: For the first time, this study seeks to propose a new hierarchical evaluation model for online sales firms based on the customer's point of view. [ABSTRACT FROM AUTHOR]

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This article presents a study on the online food delivery services market in Chandigarh, India, from a customer perspective. The study found that online food delivery services should prioritize attributes such as the ability to use the service anywhere anytime, order delivery time, and reasonable delivery and tax prices to enhance customer experience and satisfaction. The study provides valuable insights for stakeholders in the food delivery industry to improve their services and meet customer needs. However, the findings may not be representative of other cities or online food delivery platforms, and further research is recommended. [Extracted from the article]