Investigating the effects of retail agglomeration choice behavior on store attractiveness

Singla, Vikas; Rai, Harpreet

doi:10.1057/s41270-016-0004-0

Cited by 7 publications

(4 citation statements)

References 49 publications

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“…Such studies have shown that whichever model and quantitative techniques are adopted, it is important to notice the dynamic nature of consumer behavior to effectively argue location decisions. This study in conjunction with previous study by same author (Singla & Rai, 2016) attempted to do that by identifying consumer behavior characteristics influencing shopping decisions and their influence on choice of a particular retail agglomeration. Thus, findings of our study are applicable to retailers who are looking for optimizing locational strategy in order to utilize it in an endeavor to outperform competition.…”

Section: Resultsmentioning

confidence: 99%

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Examining the Effectiveness of Huff Model in Store Performance Assessment

Singla

Rai²

2018

Jindal Journal of Business Research

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Huff model and its variants have been used extensively in location decision making. This study has compared two versions of Huff model of location decision making in their appropriateness to analyze sales performance of selected shopping center. The sales have been estimated by using original Huff model given by David L. Huff (1964, Journal of Marketing, 28, 34–38) and modified version of it is suggested by Li and Liu in 2012 (Applied Geography, 32, 591–600). The modified version considered the effects of agglomeration and competition on similar stores. But the selected stores were standalone stores. In this study instead, a famous shopping mall consisting of cluster of stores, which create bundling effect and provide more choices to customers, has been used to understand the effectiveness of discussed two versions of Huff model. The results were obtained for different agglomeration and competition factors in case of modified Huff model. These different factors were found to have significant influence on estimation of sales suggesting utmost care in their selection. Overall modified version was found to be more suitable in fulfilling the objective.

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Section: Resultsmentioning

confidence: 99%

“…The impact of agglomeration and competition represented by values of alpha, beta, and gamma used in modified Huff model is calculated through empirical research. The results of this survey conducted by these authors were extracted from their previous study (Singla & Rai, 2016). The gist of results is shown in Table 1.…”

Section: Methodsmentioning

confidence: 99%

Examining the Effectiveness of Huff Model in Store Performance Assessment

Singla

Rai²

2018

Jindal Journal of Business Research

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“…Singla and Rai's contribution to the field of retail agglomeration and its impact on store attractiveness is substantial, providing a nuanced understanding of the complexities involved in consumer purchase behavior attributes within agglomerated retail settings [10]. The study marks a significant advancement in unraveling the intricate linkage between these attributes and the overall attractiveness of stores, particularly in the context of diverse agglomerated environments.…”

Section: Literature Reviewmentioning

confidence: 97%

Geographic Information Systems Applications in Business Decision-Making

Pavani,

Reddy Komatireddy,

Teja Yarasuri

et al. 2024

E3S Web of Conf.

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The recent advancements in Geographic Information Systems (GIS) techniques and their applications across various business domains provide an overview of cutting-edge GIS methodologies, including spatial analytics, machine learning integration, and advanced visualization tools. The study sheds light on how these techniques enhance decision-making processes in industries such as retail, service, and manufacturing. Challenges encompass the complexity of integrating diverse datasets, issues of data usage, and ensuring the interpretability and efficient use of machine learning algorithms within GIS frameworks. In response to these challenges, the primary objective of this study is to address the limitations of current GIS methodologies by understanding their capabilities while ensuring the effective use of advanced technologies, and optimizing business decision making processes.

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“…A study conducted on restaurants mentioned that justified price generates trust that positively influences revisit intention among the customers (Cakici et al, 2019). The study conducted by Singla & Rai (2016) suggested that depth and variety in stores, and merchandise characteristics (price, promotion, CSR activities, merchandise accessibility) influence shoppers' choice to revisit intention (Johnson & Grayson, 2005). CSR's impact on shopper's loyalty which varies across along with cultures mediates positive or negative emotions.…”

Section: Fear Arousal (Fa)mentioning

confidence: 99%

Revisit intentions: Novel social responsibility of mall for strengthening mall reputation and perceived trust during fear-arousal of Covid-19 pandemic in India

Singh

Khandelwal

Saxena

2022

REASER

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The study aims to access the philanthropic influence of malls in creating trust among the shoppers to revisit them during the Covid-19 Unlock Period. Smart PLS-SEM was used to evaluate the responses of 607 customers who voluntarily participated in the survey carried out in Delhi – NCR, India. The study encompasses the hypotheses that the social responsibility of mall generates mall reputation, which in turn strengthen perceived trust, and ultimately the revisit intention. The results established the social responsibility of the mall as a key factor in building mall reputation and fostering trust among the shoppers, ensuring their revisits. The findings also supported shoppers’ revisit intention under the varying influence of fear-arousal. The moderating effect of fear arousal on the relationships of mall reputation – revisit intention, and perceived trust – revisit intention in the organized retail industry has been adjudged as a novelty of the present study. The study recommends its application in framing strategies to strengthen the social commitments by retailers and malls, and also to ameliorate fear-arousal among shoppers during such pandemics. The study proposes avenues for further research in context to the social responsibilities of hospitality-related set-ups during a pandemic with varied variables.

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Investigating the effects of retail agglomeration choice behavior on store attractiveness

Cited by 7 publications

References 49 publications

Examining the Effectiveness of Huff Model in Store Performance Assessment

Examining the Effectiveness of Huff Model in Store Performance Assessment

Geographic Information Systems Applications in Business Decision-Making

Revisit intentions: Novel social responsibility of mall for strengthening mall reputation and perceived trust during fear-arousal of Covid-19 pandemic in India

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