scholarly journals Spatial Shopping Behavior in a Multi-Channel Environment: A Discrete Choice Model Approach

REGION ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 1-27
Author(s):  
Thomas Wieland
Keyword(s):  
Transaction Costs ◽  
Travel Time ◽  
Online Shopping ◽  
Location Theory ◽  
Choice Models ◽  
Previous Literature ◽  
Shopping Behavior ◽  
Store Choice ◽  
Retail Location ◽  
The Impact

Spatial impacts of online shopping are discussed frequently in retail geography. Here, online shopping is mostly regarded as a central driver of competition for physical retailing and its locations, such as town centers or malls. Due to its high popularity, cross-channel shopping is sometimes considered to be a support for physical retailing. However, traditional retail location theory does not consider shopping channels other than in-store shopping. Furthermore, although online shopping is far too important to be neglected in examining consumer spatial shopping behavior, there is an obvious lack in the previous literature towards incorporating multi- and cross-channel shopping into store choice models. The present study aims to identify the main drivers of store choice on the basis that both in-store and online shopping alternatives are available, as well as the opportunity for cross-channel shopping. Taking into account previous literature on both physical store choice and multi-channel shopping, hypotheses on the impact of different shopping transaction costs (such as travel time, delivery charges, or uncertainty with respect to the stores' assortment) were derived. Based on a representative consumer survey, real past shopping decisions in three retail sectors (groceries, consumer electronics [CE], and furniture) were collected. The econometric analysis of empirical store choices was performed using a nested logit model which includes both physical and online stores. The results confirm several assumptions of classical retail location theory as well as previous findings from single-firm studies and stated choice experiments on multi-channel shopping behavior. Travel time to physical stores reduces consumer utility and store choice probability, respectively. Consumer sensitivity towards travel time decreases with decreasing purchase frequency of the desired goods. Delivery charges also decrease the likelihood of choosing a store. The impact of cross-channel integration on store choice (assuming the reduction of consumer transaction costs) is considerably lower than expected and differs between retail sectors. While furniture retailers profit from enabling cross-channel shopping, there is no such competitive advantage found for grocery and CE retailers. The positive effect of assortment on condition of diminishing marginal utility is confirmed for grocery stores and CE stores, but not for furniture stores. From a theoretical perspective, this study shows that multi- and cross-channel shopping behavior does not contradict the main thoughts of classical retail location theory. From a practical perspective, the study is a contribution as store choice models play a significant role in both business location planning and governmental land use planning.

scholarly journals The Importance of Online Shopping Behavior in the Strategic Management of E-Commerce Competitiveness

2020 ◽  
Vol 12 (4) ◽  
pp. 143-160
Author(s):  
Veronika Svatosova
Keyword(s):  
Strategic Management ◽  
Online Shopping ◽  
Secondary Data ◽  
Shopping Behavior ◽  
Management Process ◽  
Main Research ◽  
Online Shopping Behavior ◽  
The Impact ◽  
Strategic Management Process

In this article a total of fifteen determinants of online shopping behavior have been identified that could have an impact on the strategic management process in e-commerce competitiveness. The main objective of the paper is to evaluate the impact of determinants of online shopping behavior on the strategic management process in e-commerce. The main research methods used in the research are as follows: analysis of secondary data, a questionnaire survey among a selected group of e-commerce companies, a critical analysis and a quality comparison of the actually applied determinants of online shopping behavior. The verification of hypotheses is realized using selected methods of statistical induction and descriptive statistics. In summary, the research has shown there is no relationship between evaluating the quality of determinants companies in e-commerce and evaluating the importance of determinants of online shopping behavior. Determinants have an important impact in the process of creating and realizing an e-commerce strategy, with all e-commerce companies regardless of their size being aware of their practical impact and importance. It can be concluded the importance and quality of determinants of online shopping behavior correspond to the type of strategy and strategic management process in terms of e-commerce competitiveness.

Close Encounter with the Hard Discounter: A Multiple-Store Shopping Perspective on the Impact of Local Hard-Discounter Entry

2013 ◽  
Vol 50 (5) ◽  
pp. 606-626 ◽  
Author(s):  
Mark Vroegrijk ◽  
Els Gijsbrechts ◽  
Katia Campo
Keyword(s):  
Close Encounter ◽  
Shopping Behavior ◽  
Private Label ◽  
Store Choice ◽  
Consumer Responses ◽  
Grocery Retailing ◽  
Close Proximity ◽  
The Impact ◽  
Proper Response

“Hard discounters” (HDs) have become a considerable force in grocery retailing. With rock-bottom prices and minimal assortments, they differ greatly from “large discounters” such as Wal-Mart, constituting complements to, rather than substitutes for, more traditional supermarkets. Therefore, the authors propose that HD impact of entry on local incumbents is different as well. Using a store choice and spending model that explicitly accounts for interstore synergies and multiple-store shopping behavior, the authors study consumer responses to 194 HD openings. Although they find that HDs, like large discounters, especially appeal to private label–prone shoppers and lead to sizable incumbent losses, the results confirm that the nature of these losses is different. First, HDs do not cause incumbent chains to lose their best customers; instead, shoppers who have already visited other chains alongside the incumbent are lost. Second, the authors find that chains located in close proximity to new HDs do not suffer more from their entry. Third, losses are lower for upscale chains and incumbents that strongly complement the HD. The authors conclude by discussing implications for proper response to HD entry.

scholarly journals Impact of Social risk, Government and Psychological Factors with Moderator Cultural Factors on Online Shopping Behavior in Pakistan

2019 ◽  
Vol 7 (1) ◽  
pp. 31-44
Author(s):  
Anam Bhatti ◽  
Shafique Ur Rehman
Keyword(s):  
Psychological Factors ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Future Research ◽  
Social Risk ◽  
Government Role ◽  
Online Shopping Behavior ◽  
The Impact ◽  
Moderating Role

The objective of the current study is to examine the impact of social risk, government role, and psychological factors on online shopping behavior. In addition, the moderating role of culture between social risk and online shopping behavior. Simple random sampling technique was used to collect data from respondents by using a questionnaire approach. Confirmatory factor analyses, as well as structural equation modelling techniques, were used for analysis purpose. Findings revealed that social risk and psychological factors have a negative and significant impact on online shopping behavior. Government role and culture have a positive and significant impact on online shopping behavior. Moreover, culture positively moderates the relationship between social risk and online shopping behavior. Between social risk and online shopping behavior moderating role of culture have less attention in prior studies and this research fills that gap. Future research should be held in some other developing countries as well as in developed countries with financial risk, product risk, privacy risk, convenience risk, electronic word of mouth, brand association, advertising factors, perceived quality, and online shopping behavior.

Sport consumer flow and shopping well-being in online shopping

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bomin Paek ◽  
Alan Morse ◽  
Minjung Kim ◽  
Hoyoon Jung
Keyword(s):  
Online Shopping ◽  
Empirical Finding ◽  
Well Being ◽  
Shopping Behavior ◽  
Equation Modeling ◽  
Flow State ◽  
Website Quality ◽  
Content Type ◽  
Mediating Role ◽  
The Impact

PurposeDue to the increased growth of Internet users, the examination of compelling online shopping behavior has emerged as a vital topic in developing positive consumer behaviors. However, there is a dearth of studies into how consumers of sport merchandise in the online setting spend their time and what types of factors contribute toward their positive shopping experience. To fill this gap, the purpose of this current study is to investigate the impact and complexity of sport commerce websites by providing the precondition of flow (e.g. convenience, content, aesthetics, interactivity and customization), as well as the consequences of flow (e.g. website satisfaction and shopping well-being).Design/methodology/approachThis study examines relationships among perceived website quality, flow, web satisfaction, and shopping well-being by using structural equation modeling. This current study is based on online sport fans who have recent online shopping experiences of licensed sport products (n = 331).FindingsResults of this present study show that flow plays a mediating role between perceived website quality and web satisfaction, which in turn is positively associated with consumers' shopping well-being.Originality/valueThis current study supports a mediating role of flow state in sport consumer perceptions of website quality and satisfaction; it expands existing knowledge through determining the factors that facilitate flow state and website satisfaction in online shopping. This empirical finding offers important implications regarding the function of flow as an essential factor via the optimization of website services and sport consumers' attitudes.

scholarly journals (Hedonic) Shopping Will Find a Way: The COVID-19 Pandemic and its Impact on Consumer Behavior

Marketing ZFP ◽  
2021 ◽  
Vol 43 (1-2) ◽  
pp. 95-110
Author(s):  
Andrea Gröppel-Klein ◽  
Kenya-Maria Kirsch ◽  
Anja Spilski
Keyword(s):  
Consumer Behavior ◽  
Ethical Behavior ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Online Retailing ◽  
High Demand ◽  
Hedonic Shopping ◽  
The Impact

The issue currently permeating is how COVID-19 affects our lives, including in terms of consumer behavior. For example, sales of men’s suits have fallen sharply since March 2020, while there has been high demand for jogging pants. While German online retailing was able to increase sales by double digits in 2020, downtown retailers of non-food articles (e.g., textiles, shoes, etc.) had to accept a decrease of more than 20% (HDE 2021, p. 11). Our article focuses on the questions of whether consumer behavior has been fundamentally affected by the crisis, whether previously formed shopping patterns have dissipated and led to new shopping behavior, and whether old habits will return. Using two surveys at different timestamps of the pandemic, we analyze the impact on consumers’ shopping styles and particularly discuss whether the pandemic has permanently changed online shopping tendencies and ethical behavior, and whether the desire for experience-oriented shopping has changed.

scholarly journals Accessibility or Innovation? Store Shopping Trips versus Online Shopping

2018 ◽  
Vol 2672 (50) ◽  
pp. 1-10 ◽  
Author(s):  
Kees Maat ◽  
Rob Konings
Keyword(s):  
Diffusion Of Innovation ◽  
Online Shopping ◽  
New Technologies ◽  
New Technology ◽  
Shopping Behavior ◽  
Willingness To Adopt ◽  
Different Types ◽  
Shopping Trips ◽  
The Impact ◽  
Efficiency Hypothesis

The increasing penetration of online shopping will have major effects on physical stores. And the question is: In which areas will consumers replace most physical shopping with online shopping? Two apparently competing hypotheses were tested: the diffusion of innovation hypothesis, suggesting openness to new technologies; and the efficiency hypothesis, suggesting accessibility gains. Whether the innovation hypothesis has lost its importance in favor of the efficiency hypothesis was also questioned. The study area was a polycentric urban area in the Netherlands. We distinguished between books, clothes, and groceries. It was assumed that shoppers’ decisions to buy a particular good online or not, and the share of online shopping relative to in-store shopping for this good, were basically driven either by shoppers’ willingness to adopt the new technology of e-shopping or by shoppers’ accessibility to shops. Support was found for both hypotheses, although the impact of shopping seemed limited and varied between different types of goods. In the end, e-shopping behavior remains primarily shaped by households who are open to new technologies, and to a limited extent by efficiency considerations.

Utilising Modified UTAUT to Understand Students' Online Shopping Behaviour

2015 ◽  
Vol 13 (4) ◽  
pp. 74-90
Author(s):  
Shahizan Hassan ◽  
Rashdan Rashid ◽  
Feng Li
Keyword(s):  
Significant Relationship ◽  
Behavioral Intention ◽  
Self Efficacy ◽  
Online Shopping ◽  
Empirical Test ◽  
Sampling Procedure ◽  
Shopping Behavior ◽  
Research Subjects ◽  
Multi Stage ◽  
The Impact

This study determines the impact of UTAUT on online shopping behavior among polytechnic students. It also studies the significance of self-efficacy and anxiety on the students' behavioral intention of using e-retail website. It provides an empirical test of three forms of self-efficacy and anxiety towards behavioral intention to shop online. The research subjects were 91,830 polytechnic students from 33 polytechnics in Malaysia. The sampling procedure employed is a multi-stage cluster probability sampling. The questionnaires were distributed to 500 students at five polytechnics. Seven hypotheses were tested during data analysis. Performance expectancy, effort expectancy, social influence, self-efficacy, internet self-efficacy, computer self-efficacy and online shopping self-efficacy were found to have strong significant relationship with behavioral intention. While facilitating condition shows a significant relationship towards user acceptance, internet anxiety and online shopping anxiety have a weak significant relationship towards behavioral intention.

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