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Many companies must choose a marketing strategy to promote new products. This includes publishing digital video advertising with interactive features on the Internet. Guided by the attribute-framing theory, this study investigates the impact of the number of positive attribute framings (NPAF) in advertising messages on consumer responses. This study aims to check whether new products are incrementally new products (INPs) or really new products (RNPs).

Content analysis was conducted to identify the forms and components of attribute framing used in advertisements and consumer responses (i.e. review valence). Furthermore, this study followed an expert scoring procedure to identify product newness (INP vs. RNP). Hierarchical polynomial regression analysis was used to investigate the relationship between the NPAF, customer response and product newness.

This study has three main findings: (1) regardless of whether the new product is INP or RNP, there is an inverted U-shaped relationship between NPAF and consumer responses; (2) the inflection point of NPAF (INP) is greater than the inflection point of NPAF (RNP) and (3) the maximum value of consumer response for INP is greater than that for RNP.

This study sheds light on the effectiveness of attribute framing in new product advertising. Compared to previous research on attribute framing of advertising, this study is based on a realistic scenario in which multiple attributes are framed within a given advertisement copy. Furthermore, secondary data were used to test the impact of NPAF on consumer responses and further explore the effects of product newness.

Online retailers are pioneering the incentivization of customers to generate more product reviews by rewarding them. However, little is known about the impact of reward types on customers' review behavior, including review frequency and sentiment. To address this gap, we investigated the effects of different reward types on customers' review behavior and how these rewards influence customers' review behavior.

We collected secondary data and empirically tested the hypothesis by analyzing the change in reward policy. Regression and two-stage Heckman models were applied to investigate the effects, with the latter used to control potential selection issues.

The results revealed that monetary rewards can stimulate customers to generate more positive product reviews. Furthermore, the reward amount has a negative moderating effect on the aforementioned relationship. Additionally, customer tenure negatively moderates the relationship between monetary rewards and review behavior.

This study contributes to the understanding of user-generated content motivation and provides managerial implications for reward programs.