The Impact of Social Dependency on Teenage Shopping Behavior (a Comparison between the Adolescents of Tehran and Isfahan)

2016 ◽  
Author(s):  
Kamran Yeganegi
Keyword(s):  
Shopping Behavior ◽  
The Impact

Impact of Chatbot in Transforming the Face of Retailing- An Empirical Model of Antecedents and Outcomes

2019 ◽  
Vol 12 ◽  
Author(s):  
Kumari Anshu ◽  
Loveleen Gaur ◽  
Arun Solanki
Keyword(s):  
Research Work ◽  
Shopping Behavior ◽  
Model Framework ◽  
Shopping Experience ◽  
The Face ◽  
Strongly Agree ◽  
Different Characteristics ◽  
Work Done ◽  
The Impact ◽  
Self Administered Questionnaire

Chatbot has emerged as a significant resolution to the swiftly growing customer caredemands in recent times. Chatbot has emerged as one of the biggest technological disruption. Simply speaking, it is a software agent facilitating interaction between computers and humans in natural language. So basically, it is a simulated, intellectual dialogue agent functional in a range of consumer engagement circumstances. It is the easiest and simplest means enable interaction between the retailers and the customers. </p><p> • Purpose- Most of the research work done in this field is concerned with their technical aspects. The recent research on chatbot pay little attention to the impact it is creating on users’ experience. Through this work, author is making an effort to know the customer-oriented impact that the chatbot bear on the shoppers. The purpose of this study is to develop and empirically test a framework that identify the customer oriented attributes of chatbot and impact of these attributes on customers. </p><p> • Objectives- The study intends to bridge the gap between concepts and actual attributes and applications on the subject of Chatbot. The following research objectives can address the various aspects of Chatbot affecting the different characteristics of consumers shopping behaviors: a) Identify the various attributes of chatbot that bears an impression on consumer shopping behavior. b) Evaluate the impact of chatbot on consumer shopping behavior that leads to the development of chatbot usage and adoption among the customer. </p><p> • Design/Methodology/Approach – For the purpose of analysis, author has administered Factor analysis and Multiple regression using SPSS version 23 for identification of various attributes of Chatbot and knowing their impact on shoppers. A self-administered questionnaire from the review of literature is developed. Industry experts in the field of retailing and academician evaluate the questionnaire. Primary information from the respondents is gathered using this questionnaire. The questionnaire comprises of Likert scale on a scale of 1 to 5 where 1 stands for strongly disagree and 5 stands for strongly agree. Data is collected from 126 respondents, out of which 111 respondents were finally considered for study and analysis purpose. </p><p> • Findings – The empirical results show that the study identifies various attributes of chatbot like Trust, Usefulness, Satisfaction, Readiness to Use and Accessibility. It is also found that chatbot is really influencing the customers in providing them with shopping experience, which can be very helpful to the businesses for increasing the sales and creating repurchase intention among the customers. </p><p> • Originality/value – The recent research on chatbot pay little attention to the impact it is creating on customers who are actually interacting with it on regular basis. The research paper extends information for understanding and appreciating the customer oriented attributes of artificially intelligent Chatbot. In this regard, the author has developed a model framework and proposed the attributes identified. Through the work, author is also making an effort to test empirically the impact of the identified attributes on the shoppers.

scholarly journals The impact of the COVID-19 pandemic on the shopping behaviour of customers of selected global brand marketing strategy

2021 ◽  
Vol 129 ◽  
pp. 02020
Author(s):  
David Vrtana
Keyword(s):  
Marketing Strategy ◽  
External Environment ◽  
Value Added ◽  
Shopping Behavior ◽  
Behavioral Characteristics ◽  
Purchasing Behavior ◽  
Global Brand ◽  
Brand Marketing ◽  
The Right ◽  
The Impact

Research background: Research will highlight the impact of the COVID-19 pandemic on Mc Donald’s brand marketing strategy. In the research, we will analyze the internal and external environment of the global brand. We will find out how the current pandemic situation has affected the customer shopping behavior of the global brand Mc Donald’s. Purpose of the article: In this article, we point out the importance of analyzing customers’ shopping behavior before and during a pandemic. We identify differences in shopping behavior before and during a pandemic. We will confirm whether our research identifies differences in the behavioral characteristics of the global brand’s shopping behavior in terms of differences and penetration. Methods: We used the methods of analysis, synthesis, comparison and generalization to assess the theoretical assumptions of purchasing behavior and marketing strategy. By comparison and generalization, we compare the financial performance of the brand during the COVID-19 pandemic. We will evaluate its significance in relation to shopping behavior. We will also use an analysis of the internal and external environment to identify the right marketing strategy for the global Mc Donald’s brand. Subsequently, we compare the results and identify the possibilities of adapting the marketing strategy with respect to purchasing behavior before and during the COVID-19 pandemic. Findings & Value added: We will point out the importance of the shopping behavior of Mc Donald’s global brand customers before and during the pandemic. We will find out how customers’ shopping behavior has changed and we will identify this change to the marketing strategy.

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 The Impact of Mobile TradeManager on Fashion Product Sales: From Usability Perspective

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Zilong Liu ◽  
Zhenhua Liu ◽  
Qingfei Min
Keyword(s):  
Communication Networks ◽  
Behavioral Model ◽  
Shopping Behavior ◽  
Wireless Communication Networks ◽  
Subjective Beliefs ◽  
System Usability ◽  
Online Shopping Behavior ◽  
Product Sales ◽  
It Artifact ◽  
The Impact

The competition in fashion and textiles (FTs) industry is strong. Enterprises have to compete at all levels and need to adapt to the mobile commerce (MC) context. Mobile TradeManager (MTM) is a typical MC application and good use of it will facilitate the sales of FTs products. Plenty of prior studies on MC were developed to discuss the subjective beliefs. Motivated by the research that appeals for more attention to IT artifact itself, this paper integrates the system usability of MC into the behavioral model. To this end, the purpose of this study is twofold: (a) to identify the impact of MTM usability on consumers’ online shopping behavior of FTs production, and (b) to explore and understand how usability of MTM could be improved. Data analysis, based on a survey of 837 MTM users, reveals that perceived entertainment, MTM system usability, subjective norm, and consumer’s self-efficacy significantly affect individual’s intention to use MTM. Meanwhile, it is revealed that MTM usability is a joint function of mobile device’s system performance, WAP website’s design, and the characteristics of wireless communication networks.

scholarly journals Comparison of influence of selected viral advertising attributes on shopping behavior of Millennials – empirical study

2020 ◽  
Vol 16 (3) ◽  
pp. 14-25
Author(s):  
Martin Mudrik ◽  
Martin Rigelsky ◽  
Beata Gavurova ◽  
Radovan Bačik ◽  
Richard Fedorko
Keyword(s):  
Empirical Study ◽  
Purchase Intention ◽  
Parametric Method ◽  
Shopping Behavior ◽  
Second Step ◽  
Purchasing Behavior ◽  
The Difference ◽  
The Impact ◽  
Vega 1 ◽  
Research Grant

The study aims to evaluate the impact of selected factors of viral campaigns on Millennials customers’ consumer behavior. This goal was achieved in two steps: in the first step, the authors determined the impact of selected attributes on purchasing behavior in general, and in the second step, they compared the impact of the selected research campaigns – the guerrilla campaign of the company 4KA and the viral campaign of the company ABSOLUT. The inputs to the analyses were obtained through answers from 360 respondents, which completed the questionnaire on a sample of Millennials customers generation (1975–2000) – social generation, which collaborate and cooperate, expect technology to simply work for adventure and passionate about values (Smith, Nichols, 2015). The survey part of the questionnaire consisted of 8 attributes (Novelty, Relevance, Aesthetics, Clarity, Humor, Emotion arousal, Surprise, Design, Purchase intention). Data were collected based on participants’ availability and their will to participate in the questionnaire and quota selection. The PLS PM method was used to assess the impact, and the bootstrap-based parametric method was used to assess the difference in the impact. One of the most important findings is that attributes such as Novelty, Relevance, Humor, and Surprise significantly affect purchasing behavior. Concerning the company 4KA, significant impacts were seen in Relevance and Surprise, and with the company ABSOLUT, significant impacts were seen in Relevance, Humor, and Surprise. When analyzing the difference in the impact, there were no significant differences between the campaigns. Acknowledgment This article is one of the partial outputs under the scientific research grant VEGA 1/0694/20, VEGA 1/0609/19.

scholarly journals Customer purchase behaviour and shopping in B2C e-commerce

2019 ◽  
Author(s):  
Petra Jílková ◽  
Petra Králová
Keyword(s):  
Czech Republic ◽  
Business Processes ◽  
Shopping Behavior ◽  
Purchase Behavior ◽  
The European Union ◽  
Behavioral Differences ◽  
Cultural Backgrounds ◽  
The Czech Republic ◽  
The Impact ◽  
Practical Implications

Purpose – digitalization of business processes, cultural backgrounds and consequences on behavioral differences make a direct impact on customer purchase behavior across different countries. The main aim of this paper is to analyze the effect of the economic situation in the selected countries regarding the e-commerce business. Research methodology – first, the paper presents a theoretical model for customer purchase behavior and the develop-ment of the theory in the B2C e-commerce context. Second, it is analyzed the main aspects of shopping behavior in se-lected countries. Findings – a difference between traditional and e-commerce customer purchase behavior model was found. Next, the re-search shows the main characteristics of shopping in B2C and provides a better understanding of the impact of digitaliza-tion. Research limitations – research will focus on the shopping in B2C e-commerce market in the Czech Republic, Lithuania and in the European Union. The data is based on the Czech Statistical Office, which covers a period from 2010 to 2018 and the respondents of the survey purchased online in the 12 months prior to 2018. Practical implications – the paper confirmed the fact that the B2C e-commerce market in the Czech Republic is developed and has potential to grow nationally and internationally. It is necessary to further investigate the relationship between cus-tomer purchase behavior, e-commerce, and other economic indicators, possibly including other factors. Originality/Value – the paper investigates online shopping for the period between 2010–2018. Finally, the authors dis-cuss the theoretical and practical implications of these results.

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