Attractiveness of Retail Agglomeration Based on Product Type: An Experimental Study

Sanyal, Priyavrat; Ghosh, Arunava

doi:10.2139/ssrn.2989281

Cited by 5 publications

(2 citation statements)

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“…Aiming at the coexistence of large data volume services and small data volume services in M2M communication in the Internet of Things, an access control algorithm based on time slot Aloha and adaptive ACB is proposed. The algorithm has two stages [26]. The first stage is statistically first.…”

Section: Systemmentioning

confidence: 99%

The Application of Artificial Intelligence Oriented to the Internet of Things Technology in the Complexity of Digital Crossborder Trade

Liu

2022

Wireless Communications and Mobile Computing

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With the continuous update of technologies such as cloud computing, big data, AI, and 5G, various IoT services have also been developed. Various IoT terminals have emerged one after another, and the number of access terminals has also risen sharply. With the development and popularization of a new generation of artificial intelligence technology, the Internet of Things mainly connects various objects to each other in an agreed manner through various sensing devices and conducts wireless communication and data exchange to achieve object-to-object communication, positioning, traceability, intelligent identification, and management. The Internet of Things has broad application prospects in many aspects such as intelligent robots, transportation, and intelligent buildings. Accurate node positioning is considered to be the focus of the application of the Internet of Things in geographic and network location services. More and more experts and scholars have begun to worry about the future development of artificial intelligence technology. While artificial intelligence technology provides convenience to the society, it may also cause huge hidden dangers to the public safety of the entire society. Therefore, it is necessary to make decisions about the technical risks of artificial intelligence. Philosophical analysis has certain historical, practical significance, and theoretical value. Internet technology innovation and digital technology innovation continue to emerge. Digital trade has become a typical feature of the current economic structural transformation, and it is also a new driving force for countries to participate in the division of labor in the global value chain. At present, the scale of global digital trade continues to expand, but there are still many restrictions on digital trade rules. Digital trade tariff barriers and nontariff barriers in digital trade such as crossborder data flow restrictions, intellectual property infringements, and personal information protection are bound to have an impact on the global value chain division of labor system. IoT technology-oriented artificial intelligence accelerates the logistics speed and tracking efficiency of digital cross-border trade, improves consumers’ willingness to spend, and promotes the development of the entire e-commerce trade field.

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Section: Systemmentioning

confidence: 99%

The Application of Artificial Intelligence Oriented to the Internet of Things Technology in the Complexity of Digital Crossborder Trade

Liu

2022

Wireless Communications and Mobile Computing

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“…Retail agglomeration refers to “a group of retail stores in close proximity, which cooperate and compete with each other simultaneously” (Sanyal and Ghosh, 2017). Such clustering takes various forms, including shopping malls, shopping centers, or main streets with high concentrations of stores.…”

Section: Introductionmentioning

confidence: 99%

Exploring the impacts of ecommerce activities on the spatial resilience of warehouse clubs: the role of retail agglomeration

Pan,

Li,

Dresner

et al. 2024

IJPDLM

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PurposeAs ecommerce becomes more prevalent, traditional brick-and-mortar retailers such as warehouse clubs (WCs) face the challenging task of maintaining and growing their customer base. This study aims to unravel the combined impact of retail agglomeration and ecommerce activities on consumer foot traffic (also referred to as “footprint”) at WC stores, placing an emphasis on the locational strategies adopted by WCs in this evolving retail landscape.Design/methodology/approachMobile-based customer foot traffic data for Costco, a major U.S. WC chain, is sourced for our analysis. We use Principal Component Analysis (PCA) to identify dimensions of general merchandise (GM) and narrow-range merchandise (NM) retail agglomeration. Two-stage least squares (2SLS) regressions are used to explore how the intensity of ecommerce activities and WC locational choices within retail agglomerations impact WC foot traffic.FindingsOur analysis highlights a notable decline in WC store visits attributable to both GM and NM ecommerce activities, with GM ecommerce presenting a more significant competitive challenge to WCs. Regarding retail agglomerations, proximity to GM clusters that include a diverse range of supercenters, department stores, and club stores, is associated with an increase in WC customer visits within their vicinity. In contrast, the influence of NM agglomerations is mixed; clusters adjacent to grocery stores lead to higher WC customer traffic compared to those focused on other specialized stores. These findings underscore the strategic importance of location in mitigating the adverse effects of ecommerce competition. Additionally, our study uncovers intricate dynamics between GM and NM retail clusters and ecommerce activities, demonstrating varied impacts on WC customer footprint.Research limitations/implicationsAccess to customer footprint data illustrates the potential of this data source for retail decision making and researchers. Our analysis is limited to one chain, notably Costco.Practical implicationsOur findings underscore the need for retailers to adeptly navigate the evolving retail landscape, including the confluence between physical and digital retail environments, to secure future success. In particular, our results emphasize the benefits of locating stores within mixed retail agglomerations and underline the need to consider the broader retail landscape in location decisions.Social implicationsThe rise of ecommerce in the U.S. has reshaped consumer behavior and altered local shopping districts’ communal dynamics. This change may spur policy interventions to help physical stores compete with online retailers, emphasizing the importance of retail diversity and community-centric environments to sustain communal retail interactions amidst digital advancements.Originality/valueThe paper makes use of a unique dataset to provide a first assessment of the combined effects of retail agglomeration and ecommerce activities on consumer foot traffic for WC retailers. Thus, this paper provides insights into the impacts on consumer shopping behavior from the dynamic interactions between physical retail clusters and online shopping behaviors.

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Enhanced Buying Experiences in Smart Cities: The SMARTBUY Approach

Bourg¹,

Chatzidimitris

Chatzigiannakis

et al. 2019

Lecture Notes in Computer Science

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Attractiveness of Retail Agglomeration Based on Product Type: An Experimental Study

Cited by 5 publications

References 0 publications

The Application of Artificial Intelligence Oriented to the Internet of Things Technology in the Complexity of Digital Crossborder Trade

The Application of Artificial Intelligence Oriented to the Internet of Things Technology in the Complexity of Digital Crossborder Trade

Exploring the impacts of ecommerce activities on the spatial resilience of warehouse clubs: the role of retail agglomeration

Enhanced Buying Experiences in Smart Cities: The SMARTBUY Approach

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