Search results

Native advertising on social media continues to be a popular ad placement for marketers. With native ad-content relevance in need of further exploration regarding individual differences and social media public sentiment waning, this study set out to test the effects of ad-content relevance of native ads varying by users' pre-existing social networking site (SNS) attitude.

Two experiments were conducted with native ads relevant and irrelevant to the surrounding media content with SNS attitude as a measured moderator and perceived ad importance as the mediator.

Across Instagram and Twitter, SNS attitude moderated the effect of ad relevance on ad responses. Users that had lower SNS attitudes had significantly higher ad ratings that were relevant (vs. irrelevant) to the media content, while those that had higher SNS attitudes did not show differences. The lower SNS attitude individuals showed a greater appreciation for the relevant ads through the mediating effect of perceived importance.

Marketers need to look beyond traditional ad attitude models and craft ad content strategies that consider target audiences' SNS preferences. Layering targeting tactics on Instagram and Twitter such as “interests” and “life events” with demographic targeting could help increase the chances of ad-content relevance. SNSs should advance their ad placement tools and utilize image, speech, and text recognition algorithms to help achieve ad-content relevance for greater ad effectiveness.

This study adds to the literature by identifying SNS attitude as a qualifier of ad-content relevance effect for SNS native ads and uncovering perceived ad importance as the underlying psychological mechanism.

This paper reports two experiments that investigated the semantic distance model (SDM) of relevance assessment. In the first experiment graduate students of mathematics and economics assessed the relevance relationships between bibliographic records and hierarchies of terms composed of classification headings or help‐menu terms. The relevance assessments of the classification headings, but not the help‐menu terms, exhibited both a semantic distance effect and a semantic direction effect as predicted by the sdm. Topical subject expertise enhanced both these effects. The second experiment investigated whether the poor performance of the help‐menu terms was an experimental design artifact reflecting the comparison of terse help terms with verbose classification headings. In the second experiment the help‐menu terms were compared to a hierarchy of single‐word terms where they exhibited both a semantic distance and semantic direction effect.

The purpose of this study is to examine the consumer-side effects of “under new management” (UNM) signs. The authors integrate cue-utilization theory and relevance theory to guide hypotheses about the conditions under which these signs are and are not beneficial.

Two consumer-based experiments were used to examine the quality and reputation effects of restaurants signaling a management change on potential and existing customers.

The results suggest that positive and negative effects are possible. The direction of these effects is contingent upon consumers’ prior experience, type of service (i.e. search/experience) and the relevance of the signal.

The study is limited to one industry (i.e. restaurants) and examines the effects of market signals on perceived quality and reputation. In addition, this research brought forth the notion of “signal relevance” and suggested that it may be explicitly tied to attributions. However, this assertion must examine multiple signals (relevant/irrelevant) and their contingent effects on consumer perceptions.

The findings advise businesses to use caution when using signals such as an “UNM” sign, as they appear to have different effects depending on the experience of the consumer with the service and the relevance of the signal.

This research contributes to the literature on cue utilization theory to understand the effects of marketplace cues on consumer perceptions. It contributes to marketing theory and practice by proposing a model of cue effects based on prior customer experience, type of service and cue relevance.

When using popular music in advertising, the songs' release period (nostalgia) and the lyrics' relevance to the product are two important characteristics but neglected in previous music‐related studies. The purpose of this paper is to investigate the effects of these two variables on consumers' responses to advertisements.

A 2 × 2 experimental design was used to examine the effects of a song's period and the lyrics' relevance. The hypotheses were tested with a structural equation analysis.

Previously heard old songs have positive ad effects due to evoking consumers' good moods or by generating more favorable nostalgia‐related thoughts. High‐relevance lyrics facilitate the production of favorable ad execution‐related thoughts, which improve ad attitude directly and indirectly through good moods.

Only undergraduate students are sampled. Further, the experiment focuses solely on music‐dominated ads for low involvement products.

For advertising targeting the young generation, the use of a popular song released during their childhood can elicit feelings of nostalgia and lead to good moods as well as favorable brand attitudes. Such effects, can be strengthened by high‐relevance lyrics.

Placing a previously heard popular song in a TV ad can evoke nostalgic feelings and generate favorable ad effects even when the product and other ad design elements are not related to nostalgic themes. The persuasion mechanism of nostalgia follows a dual‐route process, in which the cognitive route seems to be more influential than the affective route. The importance of lyrics' relevance is demonstrated to the extent that its impact on brand attitude can exceed that of song's nostalgia.

The purpose of this paper is to investigate the effects of brand strategies and spokesperson expertise on consumer responses to hypermarket private-label products by combining concepts from consumer attitude change, resistance to persuasion and construal level theory (CLT).

Two experiments were conducted to test the propositions.

Consumers perceived the low-price (low-quality) characteristic of private-label products as a high-level (low-level) construal consideration when forming purchase decisions. Product relevance negatively affected consumers’ perceived product distance. Compared with store brands, separate brands enhanced consumer product attitudes and purchase intentions. Brand strategies and product distance affected consumer message-processing mindset (i.e. resistant to persuasion or open to persuasion) when processing advertisements, ultimately moderating the effect of spokesperson expertise.

The findings are useful for hypermarkets seeking to implement brand strategies and select spokespersons for private-label products. Additionally, the findings show that advertisers should design advertising elements to match consumers’ construal approaches to product-related information.

This study contrasts two common hypermarket brand strategies, identifies the construal levels corresponding to the dual roles of private-label products and expands CLT dimensions. Additionally, the results bridge two research approaches (persuasion and resistance to persuasion) and demonstrate the pivotal influence of brand strategies. The findings also advance understanding of the effects of spokesperson expertise and contribute to resistance theory by showing how to effectively reduce attitude certainty after resistance to persuasion.

In vol. 6, 1976, of Advances in Librarianship, I published a review about relevance under the same title, without, of course, “Part I” in the title (Saracevic, 1976). [A substantively similar article was published in the Journal of the American Society for Information Science (Saracevic, 1975)]. I did not plan then to have another related review 30 years later—but things happen. The 1976 work “attempted to trace the evolution of thinking on relevance, a key notion in information science, [and] to provide a framework within which the widely dissonant ideas on relevance might be interpreted and related to one another” (ibid.: 338).

Stand-up meetings have received attention for their functional effectiveness in the workplace, but they can also cause affective reactions among attendees. These reactions can affect workplace attitudes and alter the way that employees view and perform their work to the benefit or detriment of the organization.

Following the tenets of the job characteristics model (JCM), a study was conducted on relevant stand-up meetings' effects on beliefs about the meaningfulness of one's work and subsequent motivation. Further analysis explored the effects that meeting load (i.e. the number of meetings) has on the outcomes of meetings.

Consistent with hypotheses, stand-up meeting relevance has an indirect effect on work motivation through work meaningfulness. Meeting load moderates both the indirect effect, such that the effect is stronger at higher numbers of meetings, and the direct effect on work meaningfulness in the opposite direction, as the effect is strongest with fewer meetings.

Organizations should ensure that stand-up meetings are relevant to all attendees and hold the meetings at an appropriate regularity for the best outcomes.

This work examined the stand-up meeting. Most prior meetings research has focused on meetings as a whole or other subtypes and examine meeting relevance and contribution to employee motivation through the lens of JCM.

The study aimed to analyze the influence of network embeddedness on the innovation performance of high-tech enterprises in Guangdong Province.

A conceptual model of the influence of network embeddedness on the innovation performance of high-tech enterprises in Guangdong province is established, which takes the business model as the mediating variable and political association as the moderating variable. Multivariate statistical analysis and the MacKinnon confidence interval method were used to analyze 418 questionnaires.

The results show that both relational embeddedness and structural embeddedness have significant positive effects on the innovation performance of high-tech enterprises in Guangdong Province. The business model has a partial mediating effect between relationship embeddedness, structure embeddedness, and innovation performance of high-tech enterprises in Guangdong Province, respectively. Political relevance has a significant negative moderating effect on the relationship between the relationship embeddedness and innovation performance of high-tech enterprises in Guangdong Province, but the moderating effect on structural embeddedness and innovation performance of high-tech enterprises in Guangdong province has not been verified.

The study of this paper also has some shortcomings: very few data research samples exist; the external factors affecting the performance of high-tech enterprises in Guangdong Province need to be further refined. The research scale needs further improvement.

In this paper, embedding theory, transaction cost theory, resource dependence theory, rent-seeking theory, new institution theory and uncertainty management theory were integrated by system attempt to reveal the mediating and moderating roles of business model and political relevance, respectively, between network embeddedness behavior and entrepreneurial innovation performance of high-tech enterprises. The research conclusions expand the relevant research in the field of entrepreneurial innovation. At the same time, the research results provide theoretical support and reference for the innovative growth of high-tech enterprises and government behavior decision-making in Guangdong province.

Network embeddedness will have a profound impact on the entrepreneurial innovation performance of high-tech enterprises. Existing research has overlooked discussing this issue from the perspective of internal and external influencing factors within the enterprise. Therefore, this study addresses this issue by (1) introducing the business model as the mediating variable from an internal perspective of the enterprise, (2) introducing political association as the moderating variable from an external perspective of the enterprise and (3) 418 original questionnaires of high-tech enterprises in Guangdong Province were used to test the effect of the study variables.

Understanding health experts' online free knowledge contribution behavior is vital for promoting health knowledge and improving health literacy. This study focuses on the spillover effects of different monetary incentive levels on health experts' free knowledge contribution behavior.

In 2016, Zhihu Live and Zhi Hu were launched as two types of paid knowledge products on Zhihu.com, a hybrid knowledge exchange platform. Focusing on the policy impact of launching Zhihu Live and Zhi Hu, this study uses the difference-in-differences model to analyze the heterogeneous spillover effects of high-yield and low-yield monetary incentives on health experts' free knowledge contribution behavior.

In the short term, the high-yield monetary incentive has positive spillover effects on the quantity and quality of free knowledge contribution while the low-yield monetary incentive generates opposite effects. In the long term, the effects of the high-yield monetary incentive remain significantly positive. The effect of the low-yield monetary incentive on the quantity of free knowledge contribution remains significantly negative, but its effect on the quality of free knowledge contribution is not significant.

This study combines theories of reciprocity and resource limitation to study the spillover effects of different monetary incentive levels on health experts' online behavior. The short-term and long-term effects of different monetary incentive levels on health experts' online behavior are also explored.

The purpose of this paper is to examine the association between audit quality and value relevance of representative accounting measures, such as earnings and book value of equity.

The authors estimate the standard value relevance equations and the modified equations by ordinary least square regressions and use two ways to compare the difference in the value relevance of earnings and book value of equity audited by Big 4 auditors and non‐Big 4 auditors, as characterized by the coefficient of determination, R2; and based on previous lines of published research.

Some evidence was found that, in the Taiwan capital market, in general, the earnings and book value of equity audited by Big 4 auditors explain more variations in stock return than those audited by non‐Big 4 auditors. The results are robust to different empirical models and measurements of value relevance and control for risk and growth factors. Consequently, both earnings and book value audited by Big 4 audit firms are generally more relevant than those audited by non‐Big 4 audit firms.

Assuming that the Big 4 audit firms provide a higher level of assurance and credibility, the overall results are generally consistent with the authors' prediction that audit quality, as captured by size of audit firms, improves the value relevance of earnings and book value of equity.