Online Buying Decision : The Studies
We discovered a few Online Buying Decision studies with intriguing findings.
The influence of intention to buy on online purchase decisions
A study about the effect of intention to buy, interactive marketing, and online purchase on a persons decision making showed that this would affect the individual in one way or another. The study found that individuals who have intention to buy would tend to make a bigger online purchase than those who dont have this intention, Interactive marketingaffected both buyer behavior and decision making in a positive way, as it made people feel more inclined to make an online purchase. Online purchase decisions were affected by intent to buy as well- those withintent to buy found it easier to find items that satisfied their needs and wants. The study also showed that people with intention to buy selected items from the retailer more often than those without this intention.
The Influence of Social Media Interactivity on Female Online Purchase Decisions
A research about the influence of social media interactive marketing activities, such as electronic shopping, on female online purchase decisions found that social media interactive marketing in general has an important impact on women's purchasing behavior. Specifically, typical activities that can have a major impact on individuals' purchasing decisions include providing tailored information through personal messages and/or chat rooms, offering discounts or free shipping when ordering through a site's official store pages, and providing access to members-only areas within site stores. Though the study found some positive resultsuggling discounts with purchase totals, it also warned potential consumers that there are other potential dangers to be aware of when engaging in social media interactive marketing. For example, the study noted that websites featuring ads could be more attractive to a certain population than others and cautioned buyers about visiting sites with deceptive or unscrupulous practices.
The interactive marketing campaign that drove a customers final decision
A paper about purchase decisions made through interactive marketing has shown that it can play a very important role in determining the customers final decision. interacted with buyers to create a better understanding of their needs and desires, letting the buyers take control of the product andbudget. They also used artificial intelligence (AI) software to give customers personalized recommendations which deepened the customer-customer connection.
The Differences in Visual Cuesbetween Online and In-Store Purchases
An article about how consumers value different aspects of a product when they purchase it online revealed that some websites have stronger visual cues that can cue the consumer to buy more. For example, a website like Amazon.com may prominently display items in stock, while another site such as Walmart.com maySCPV detectors to signify when the buyer has reached a particular page in which they are offered an discount for their purchase.
The Transformation of Consumer Decision Making
A paper about online purchase intentions found that with many consumer sites now offering either one-to-one or group buying, the factors that play a role in consumer decision making have changed slightly but strikingly. In general, people are more likely to buy items from friends and family rather than from merchants. Furthermore, they tend to prefer to purchase items that can be used and don't have an excessive amount of dependencies (such as appliances).
The Decision Making Model of Consumer Behavior
A paper about consumer decision making models has been conducted by Krishnan and his colleagues. In this study, the methods employed todivide the students into different groups were surveyed in order to better understand the process. It was found that a decision making model can be effectively used to explain consumer behavior. By using this model, marketers can develop different marketing strategies able to explain various consumer decisionscategories such as Purposes of purchase (PPV), Proximity of purchase, and choices made during the buying process. The model helps in predicting how consumers will behave under specific hypothetical situations.
The Effects of Deceptive Reviews on Customer Behaviour and Sales
A journal about the impact of deceptive reviews on customer behaviour and sales found that the majority of people who read online deceptive reviews tend to be more likely to purchase the product being reviewed. The study also found that those who read deceptive reviews are more likely to give less favourable reviews and are also more likely to leave a negative review. The study found that these effects were strongest when it came to online hydraulic products.
Compulsive and compensatory buying among online shoppers what does it mean?
A research about compulsive and compensative buying among online shoppers has been conducted. This study found that the phenomenon exists across the entire population of Poles aged 15 years old and over,meaning that it is not a limited to any specific group. The study also found that compensative buying among online shopperrs is more common than compulsivebuying. The study's results make it possible to estimate the prevalence of these behaviors in the general population, which would help indeveloping effective strategies to address this issue.
The Impact of Online Shopping on Consumer Buying Behavior
An inquiry about the impact of online shopping on consumer buying behaviour has found that there is a significant positive linear relationship between customer behavior and perceived risks of online shopping at 5%. This research is important because it may help to develop more effective marketing strategies for businesses that wish to sell products through the internet.
The Effects of Perceived Channels on Consumer Behavior
An analysis about the effects of perceived channels on consumer behavior was conducted. The results indicated that people who shopped in channels that situated them near the supermarket were more likely to purchase items from the store than those who shopped in channels that positioned them far away from the store. Additionally, people who shopped Pornography-related videos near a store were more likely to purchasing these videos than those who Shopped Pornography-related videos far away from a store.
