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The impact of social media celebrities' posts and contextual interactions on impulse buying in social commerce

Computers in Human Behavior, 2021
Social commerce has altered the consumption experience due to various interactive factors. Growing evidence stated that users are prone to buy impulsively in such an environment. Prior studies were limited to demonstrate the emerging role of social media
Abaid Ullah Zafar   +4 more
semanticscholar   +1 more source

Exploring how live streaming affects immediate buying behavior and continuous watching intention: A multigroup analysis

Journal of Travel & Tourism Marketing, 2022
This study employed an attention-interest-desire-action (AIDA) model to explain viewers’ immediate purchase decision-making processes and continuous watching intentions within tourism live streaming.
Xingyang Lv   +3 more
semanticscholar   +1 more source

“Oh, My God, Buy It!” Investigating Impulse Buying Behavior in Live Streaming Commerce

International journal of human computer interactions, 2022
The rapid popularity of live streaming promotes the emergence of a new business model known as live streaming commerce. Due to high interactivity and rich-sensory stimuli, live streaming easily leads to consumers’ impulse buying.
Xiaoping Zhang   +2 more
semanticscholar   +1 more source

The role of cognitive and affective responses in the relationship between internal and external stimuli on online impulse buying behavior

Journal of Retailing and Consumer Services, 2021
Based on the impulse purchase decision-making process, the stimulus-organism-response framework, and technology acceptance model, this study investigated the role of cognitive and affective responses in the relationship between internal and external ...
Salman Kimiagari   +1 more
semanticscholar   +1 more source

To Buy or Not to Buy?

Manufacturing Management, 2023
There are relative merits to both in-house and outsourcing your additive manufacturing. But what are they and which should a manufacturer looking to expand into this space choose?
openaire   +1 more source

Panic buying in the COVID-19 pandemic: A multi-country examination

, 2020
The global crisis of COVID-19 pandemic has ravaged the world economy and healthcare, igniting much fear, panic, and uncertainty among billions of people As lockdowns being implemented in many places, panic buying has emerged as a reliable feature of the ...
Tahir Islam   +6 more
semanticscholar   +1 more source

Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues

International Journal of Information Management, 2020
Since much online shopping is attributed to online impulse buying, it is important to define this particular shopping process. This process has three important issues, perceived risk for virtual stores as well as e-store design and psychological state ...
Ing-Long Wu, Mai-Lun Chiu, Kuei-Wan Chen
semanticscholar   +1 more source

“I want to be as trendy as influencers” – how “fear of missing out” leads to buying intention for products endorsed by social media influencers

Journal of Research in Interactive Marketing, 2021
PurposeAs social media use rises, the impact of social media influencers on customer buying decisions increases, due to customers viewing influencers as ideal role models who they try to imitate.
Thi Cam Tu Dinh, Yoon-Hee Lee
semanticscholar   +1 more source

To buy or not to buy.

Rehab management, 2003
As product prices become increasingly available on the World Wide Web, consumers attempt to understand how corporations vary these prices over time. However, corporations change prices based on proprietary algorithms and hidden variables (e.g., the number of unsold seats on a flight).
Oren Etzioni   +3 more
openaire   +3 more sources

To Buy or Not to Buy?

ACM Transactions on Spatial Algorithms and Systems, 2019
Location data from mobile devices is a sensitive yet valuable commodity for location-based services and advertising. We investigate the intrinsic value of location data in the context of strong privacy, where location information is only available from end users via purchase. We present an algorithm to compute the expected value of location data from a
Heba Aly 0001   +3 more
openaire   +2 more sources

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