Click & Collect Retailing: A Study on Its Influence on the Purchase Intention of Customers

2021 ◽  
Vol 9 (2) ◽  
pp. 239-251
Author(s):  
Karthik S ◽  
Kavitha R. Gowda ◽  
Jayanta Banerjee

The retail sector, over the years, has evolved dramatically to provide better service to its customers. With the superior convenience of online shopping and tangible experience of in-store shopping, retail industries are looking forward to integrating both modes, thus embracing omni channel to provide better service to their customers. The prime objective of the research is to investigate the level of influence that using the Click & Collect online shopping mode can have on customer purchase intention and to ascertain the effects that online and offline shopping attributes have on this intention. The study emphasizes the usefulness of integrating both the shopping modes, thus embracing omni channel in the retail sector to provide a better shopping experience to the customers. The primary data were collected from 356 respondents.  Secondary data were collected by reviewing articles, research papers, extant studies and newspaper articles. In the analysis, the buying behaviour through an e-commerce platform and customers’ purchase intentions are taken as the dependent variable. Product risk, online trust, website quality, offline experience and perceived usefulness are identified as the independent variables. The data thus collected were processed for regression tests using IBM SPSS 25 software to analyse the results. The Stimulus-Organism-Response model was deployed as the proposed model for the research. The results obtained from the research will allow retailers to understand the customer's buying behaviour towards the new Click & Collect system better by identifying the key variables that influence their purchase intention. 

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Shamsher Singh ◽  
Ameet Sao

The retail sector is growing a faster pace in India due to demographic shift in population and growing middle class. It is an opportunity for both organized and unorganized sectors. The purpose of this article is to study the customer perception and shopping experience about organized and unorganized retailing with special reference to Delhi and NCR and find out whether the preferences for organized and unorganized retailing are dependent or independent demographic characteristics of consumers. The study has used the primary data collected from 200 respondents through survey method using structured questionnaire. Convenient sampling method was used during the


Author(s):  
Chun Guan ◽  
Kevin Kam Fung Yuen

AbstractThe growth of online shopping is rapidly changing the buying behaviour of consumers. Today, there are challenges facing buyers in the selection of a preferred item from the numerous choices available in the market. To improve the consumer online shopping experience, recommender systems have been developed to reduce the information overload. In this paper, a cognitive comparison-enhanced hierarchical clustering (CCEHC) system is proposed to provide personalised product recommendations based on user preferences. A novel rating method, cognitive comparison rating (CCR), is applied to weigh the product attributes and measure the categorical scales of attributes according to expert knowledge and user preferences. Hierarchical clustering is used to cluster the products into different preference categories. The CCEHC model can be used to rank and cluster product data with the input of user preferences and produce reliable customised recommendations for the users. To demonstrate the advantages of the proposed model, the CCR method is compared with the rating approach of the analytic hierarchy process. Two recommendation cases are demonstrated in this paper with two datasets, one collected by this research for laptop recommendation and the other an open dataset for workstation recommendation. The simulation results demonstrate that the proposed system is feasible for providing personalised recommendations. The significance of this research is the provision of a recommendation solution that does not depend on historical purchase records; rather, one wherein the users’ rating preferences and expert knowledge, both of which are measured by CCR, is considered. The proposed CCEHC model could be further applied to other types of similar recommendation cases such as music, books, and movies.


2020 ◽  
Vol 10 (1) ◽  
pp. 32-57 ◽  
Author(s):  
Bandar Alharthey

The main focus of this study is to investigate the impact of online shopping trust towards online shopping intentions in the Kingdom of Saudi Arabia, while the online shopping experience of consumers will be assessed for moderation between attitudes and intentions. The nature of the study is quantitative and a correlational design has been selected for the study. Primary data is collected from a sample of 452 people having online experience in major cities of Saudi Arabia including Jubail, Riyadh, and Jeddah. SPSS and Smart PLS are used to run different statistical techniques to test the proposed model. The results of the study show that online trust positively impacts online shopping attitudes which in turn positively affect intentions, also online shopping experience of consumers has a positive impact as a moderator between online shopping attitude and online shopping intention.


2018 ◽  
Vol 32 (2) ◽  
pp. 108
Author(s):  
Dita Wahyu Ningtyas Tuty ◽  
Emi Widiyanti ◽  
Bekti Wahyu Utami

<em>The development of information technology has opened a business network, especially the Internet. Agribusiness actors have also started using the internet to market their products using the website. www.goodplant.co.id is an e-commerce that sells hydroponics products. This study is intended to identify the characteristic of perception maker of the consumers of goodplant.co.id, correlation of consumers’ perception maker characteristics and consumers’ perception of quality of goodplant.co.id as an online marketing media. This study applied a descriptive study through the survey. The subject of this study was people who have accessed the website, or people who have done any transaction on the website. The subject was chosen using judgment sampling by Google Docs. The amount of the subject is decided to use the estimation of population proportion and confidence level, which was made with 95% of 100 respondents. This study was conducted using two kinds of data, primary data, and secondary data. The data were analyzed using Kendall correlation. The result of the study showed that: (1) the age range of the respondents is 17 – 34 years old, (2) the education of the respondents are diploma/ undergraduate degree, (3) most of the respondents are an employee or entrepreneur, and having high revenue, (4) most of the also frequently do online shopping. There was a significant correlation between education, revenue, occupation, and online shopping experience toward the consumers’ perceptions of goodplants.co.id as an online marketing media. However, there was no significant correlation between the age range of the consumers with their perceptions of goodplants.co.id as an online marketing media.</em>


2021 ◽  
Vol 8 (8) ◽  
pp. 546-558
Author(s):  
Dita Aulia ◽  
Endang Sulistya Rini ◽  
Fadli .

This study aims to determine and analyze the effect of gamification, e-service quality and e-trust variables on online purchase decision through online purchase intention at the Shopee marketplace in Medan City. This type of research is using a quantitative approach. The nature of this research is associative research and the data used are primary data and secondary data obtained through documentation and a list of questions that measure it using a Likert scale. The sample in this study is the community in Medan City at least 17 years old, has a Shopee marketplace application and is a consumer who has purchased and used the Shopee marketplace at least 1 time as many as 175 respondents. Researchers collected data by distributing questionnaires to all respondents in this study. The data analysis method used descriptive statistical analysis and path analysis. Statistical results show that the majority of respondents agree with all the statements shared. The results of the research on the first substructure show that gamification has a positive and significant effect on online purchase intention with a significance of 0.000, e-service quality has a positive and insignificant effect on online purchase intention with a significance of 0.836 and e-trust has a positive and significant effect on online purchase intention with a significance of 0.000. The results of the research on the second substructure show that gamification has a positive and significant effect on online purchase decision with a significance of 0.031, e-service quality has a negative and insignificant effect on online purchase decision with a significance of 0.721, e-trust has a positive and significant effect on online purchase decision with a significance of 0.002 and online purchase intention has a positive and significant effect on online purchase decision with a significance of 0.000. The path analysis test using the sobel test shows that online purchase intention is able to mediate between gamification and e-trust with online purchase decision, but online purchase intention are not able to mediate e-service quality with online purchase decision. Keywords: Gamification, E-Service Quality, E-Trust, Online Purchase Intention and Online Purchase Decision.


2020 ◽  
Vol 6 ◽  
pp. 49-57
Author(s):  
Khairull Anuar Ismail ◽  
Nabsiah Abdul Wahid

Recently in Malaysia, a substantial number of consumers have been found to be avoiding online shopping as they prefer to shop in physical stores. This scenario brings up the issue of whether Malaysian consumers are ready technologically to shop online. To tackle this issue, a review of the concept of technology readiness is made to help explain Malaysian consumers’ online purchase intention behaviour. Technology readiness is chosen here because the concept reflects an individual’s predisposition in the usage and adoption of new technology. For the purpose of this review, this study selects technology readiness concept as proposed by Parasuraman  (2000). From the review, this study found that technology readiness has been measured in the past either as a single (unidimensional) or a multidimensional construct involving four factors, namely, optimism, innovativeness, discomfort and insecurity. A summary on past researchers’ findings in identifying the relationship between technology readiness (and its proposed dimensions) with technology usage is included in this review. For example, technology readiness was found to have a significant influence on behavioural intention in using mobile commerce to purchase travel-related service. Additionally, technology readiness motivator (optimism and innovativeness) and inhibitor (discomfort and insecurity) were identified to be related to intention to use technology. Based on the review, this study proposes a model to help explain the user’s intention to purchase online situation. In the proposed model, both technology readiness motivators and inhibitors are suggested to show positive and negative influences respectively on the user’s intention to purchase online. This review is thought to be beneficial to many. For instance, researchers would find insights on the usefulness of technology readiness and on how it has been and can be applied for further investigation. As for marketing practitioners, the review would help guide them understand the influence technology readiness has on consumers behaviour intention in adopting online shopping which they could apply for future marketing strategy.


Author(s):  
Dr. Smriti Mathur ◽  
◽  
Ms. Akanchha Singh Singh ◽  

Marketing sector has undergone a paradigm shift in its practices which results in shifting of power from firms to customers. The advent of Content marketing is one such important paradigm shift for how brands do business. It allows the enterprise to go beyond adding economic value and add intellectual assets to the ecosystem of knowledge. Latest form of Content marketing is User Generated Content. The rise of user-generated content has brought a new creator into the arena: the consumer i.e. it is a strategy through which customers are turned into ambassadors. This research paper is concerned with understanding the purchase intention of customers with the use of electronic word of mouth with special reference to fashion industry. The present study is based on both primary and secondary data. Primary data is collected through questionnaire from 300 consumers of fashion products. Analysis of Data is done with the help of SPSS. Secondary data was collected from review of books, research papers and various articles related to UGC.


2019 ◽  
Vol 2 (2) ◽  
pp. p1
Author(s):  
Toan Do ◽  
Thanh Nguyen ◽  
Cuong Nguyen

The emerging market is currently witnessing the active development of online shopping. This study was conducted to analyze the key factors affecting the intention of customers to purchase in Vietnam. This study is conducted by two methods, including "secondary research method" and "quantitative method" for research. Firstly, the author uses the "secondary research method" to refer to previous academic sources for this research. Secondly, the author collected a sample of 349 volunteers in Vietnam who have an understanding and interest in e-commerce. Perceived Usefulness, Perceived Ease of Use, Perceived Transaction Security are reported to have a positive relationship with online purchase intention. They are significant factors affecting the purchase intention of Vietnamese online customers. Other demographic factors can affect online shopping intention, such as age and income, so research cannot represent all customers. Businesses can use the findings to further understand about emerging markets. This trend is the basis for business managers to develop customer attraction strategies and improve the quality of online shopping services. The potential for online shopping is becoming more attractive, especially in emerging markets. This study is in line with the trend of the online shopping industry. The results of this study can help marketers understand more about customers' intentions, thereby building long-term relationships between businesses and customers.


Sign in / Sign up

Export Citation Format

Share Document