Suchergebnisse

This study investigated whether and how product placement influences purchase intention in the context of product-harm crisis. We collected data from 373 Chinese adults who completed an online survey, and conducted a between-subjects experiment (with/without product placement). Structural equation modeling results show that product placement had a significant positive impact on purchase intention, with perceived risk and brand trust acting as mediators. The association between perceived risk and purchase intention was nonsignificant. The study also revealed that product placement had a negative impact on brand trust, which then suppressed purchase intention. This finding emphasizes the importance of brand trust in the relationship between product placement and purchase intention, and shows that influencing consumers' opinion is more difficult than changing their behaviors through product placement.

PurposeThis study aims to identify which types of information quality influence purchase intentions the most in live streaming commerce and to examine the role of network size in this context.Design/methodology/approachWe propose a model to investigate the correlation among the quality of different information in live streaming commerce, consumer trust, network size and purchase intention. An empirical analysis of 505 questionnaires was conducted by constructing a structural equation model.FindingsThe empirical findings indicate that information quality can directly enhance purchase intention and exert an indirect influence through the mediating factors of trust in products and streamers. Perceived network size positively moderates the relationship between information quality and trust in products. Of the five types of information, the quality of bullet-screen comments information is most important to consumers.Originality/valueThis study represents the first systematic analysis of how the quality of multiple types of information in live streaming commerce influences consumer trust and purchase intention, integrated within a unified framework. It uniquely introduces network size as a moderating variable, offering both theoretical insights and practical guidance for balancing information quality with network size in live streaming commerce environments.

Civilization prospers when the ecology prospers, and civilization decays when the ecology decays. As an effective indicator of sustainable development of economy and resource environment, environmental performance can comprehensively reflect the actual level of coordinated development of the economy and environment system. This paper exemplifies China's Optics Valley to evaluate its environmental performances and research the influencing factors of new fixed assets investment projects, for which a new fixed assets investment project environmental performance assessment system was constructed. The measurement model for the system was constructed using a generalized data envelopment analysis (DEA) with undesirable output to evaluate the environmental performances of the new fixed assets investment projects in China's Optical Valley from 2011 to 2016. The multi-regression model with eight environmental performance hypotheses was established to determine the key influencing factors and to propose targeted countermeasures to enhance low-carbon innovation and promote low-carbon economic development. The results indicated that implementing new fixed assets investment project energy conservation assessments and reviews in high-tech areas could assist companies and the government in achieving better management.