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Content strategies for digital consumer engagement in social networks: Why advertising is an antecedent of engagement
Advertisers need to optimize their efforts on social networks to engage consumers
effectively. Existing literature on this topic has not yet explained how social network …
effectively. Existing literature on this topic has not yet explained how social network …
Exploring the effects of “What”(product) and “Where”(website) characteristics on online shop** behavior
Understanding factors that influence online shop** and managing consumer relationships
is not a trivial task for firms, considering the many pertinent factors that influence behavior …
is not a trivial task for firms, considering the many pertinent factors that influence behavior …
Predicting online customer purchase: The integration of customer characteristics and browsing patterns
Despite the relentless growth of online retail, e-commerce platforms still suffer from a low
purchase conversion rate. Researchers and practitioners have attempted to understand …
purchase conversion rate. Researchers and practitioners have attempted to understand …
Predicting stages in omnichannel path to purchase: A deep learning model
The proliferation of omnichannel practices and emerging technologies opens up new
opportunities for companies to collect voluminous data across multiple channels. This study …
opportunities for companies to collect voluminous data across multiple channels. This study …
Discovering how advertising grows sales and builds brands
Advertising nudges consumers along the think–feel–do hierarchy of intermediate effects of
advertising to induce sales. Because intermediate effects—cognition, affect, and experience …
advertising to induce sales. Because intermediate effects—cognition, affect, and experience …
The effect of media advertising on brand consideration and choice
The nature of the effect of media advertising on brand choice is investigated in two product
categories in analyses that combine household scanner panel data with media exposure …
categories in analyses that combine household scanner panel data with media exposure …
A review of Bayesian dynamic forecasting models: Applications in marketing
We briefly review the main developments of Bayesian dynamic models. The emphasis is on
marketing applications. Typical examples in this area are discussed. The concepts of …
marketing applications. Typical examples in this area are discussed. The concepts of …
Decisions as ill-posed problems: A sco** review of regularization methods in decision science.
JA Hoffmann - Decision, 2024 - psycnet.apa.org
Real-life decisions often require individuals to make inferences based upon a large number
of possible predictive features, but only limited observations. These so called ill-posed …
of possible predictive features, but only limited observations. These so called ill-posed …
A Bayesian cluster validity index
O Preedasawakul, N Wiroonsri - Computational Statistics & Data Analysis, 2025 - Elsevier
Selecting the appropriate number of clusters is a critical step in applying clustering
algorithms. To assist in this process, various cluster validity indices (CVIs) have been …
algorithms. To assist in this process, various cluster validity indices (CVIs) have been …
Advancing the science of marketing
G M. Allenby - Marketing Letters, 2024 - Springer
This paper presents a comprehensive overview of the significant contributions of the 2024
AMA Converse Award recipient Dr. Greg M. Allenby, as presented at the Converse …
AMA Converse Award recipient Dr. Greg M. Allenby, as presented at the Converse …