Factors affecting bridge employment behavior: Surveying Chinese older adults as anchors in social media
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Received August 1, 2024;Accepted September 27, 2024;Published October 24, 2024
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Author(s)Lingzhi Liu ,Jirawan DeeprasertLink to ORCID Index: https://orcid.org/0000-0003-1221-5909
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Songyu JiangLink to ORCID Index: https://orcid.org/0000-0001-7619-8605
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DOIhttp://dx.doi.org/10.21511/ppm.22(4).2024.09
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Article InfoVolume 22 2024, Issue #4, pp. 108-124
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551 Downloads
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Creative Commons Attribution 4.0 International License
Social media has brought new opportunities to bridge employment and has become an essential channel for addressing the issue of an aging society. This study aims to explore the factors influencing bridge employment behavior among older adults on social media platforms. This analysis collected 757 older adults from China who continue to work as anchors in social media after retiring. Data collection was conducted over ten days via structured questionnaires divided into eight sections. Furthermore, this study conducts structural equation modeling (SEM) to process the data. The results indicate that social capital (beta = 0.183, p = 0.004) and bridge employment policies (beta = 0.123, p = 0.031) have a significant positive impact on intention to bridge employment. Subjective norms (beta = 0.197, p < 0.001), attitudes (beta = 0.204, p < 0.001), and perceived behavioral control (beta= 0.147, p = 0.004) also positively and significantly influence intention to bridge employment. Subjective norms, attitudes, and perceived behavioral control serve as crucial mediators in the relationship between social capital, bridge employment policies, and intention to bridge employment. Finally, intention (beta = 0.480, p = 0.001) is a strong predictor of bridge employment behavior and acts as a mediator within the model. The findings suggest that enhancing social capital and well-structured employment policies can significantly influence older adults’ acceptance and sustained participation in bridge employment on social media platforms.
- Keywords
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JEL Classification (Paper profile tab)J14, J22, J26, C31, L86
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References36
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Tables9
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Figures2
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- Figure 1. Empirical framework
- Figure 2. SmartPLS output of SEM
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- Table 1. Demographics
- Table 2. Reliability statistics
- Table 3. KMO and Bartlett’s test
- Table 4. Convergence validity
- Table 5. Discriminant validity test
- Table 6. Reliability statistics
- Table 7. Structural equation model
- Table 8. Bootstrap test of mediation effect
- Table A1. Measurement scale
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Conceptualization
Lingzhi Liu, Jirawan Deeprasert, Songyu Jiang
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Data curation
Lingzhi Liu, Jirawan Deeprasert, Songyu Jiang
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Formal Analysis
Lingzhi Liu, Jirawan Deeprasert, Songyu Jiang
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Funding acquisition
Lingzhi Liu, Jirawan Deeprasert, Songyu Jiang
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Investigation
Lingzhi Liu, Jirawan Deeprasert, Songyu Jiang
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Methodology
Lingzhi Liu, Jirawan Deeprasert, Songyu Jiang
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Project administration
Lingzhi Liu, Jirawan Deeprasert, Songyu Jiang
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Resources
Lingzhi Liu, Jirawan Deeprasert, Songyu Jiang
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Software
Lingzhi Liu, Songyu Jiang
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Supervision
Lingzhi Liu, Jirawan Deeprasert
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Validation
Lingzhi Liu, Jirawan Deeprasert, Songyu Jiang
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Visualization
Lingzhi Liu, Songyu Jiang
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Writing – original draft
Lingzhi Liu, Jirawan Deeprasert, Songyu Jiang
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Writing – review & editing
Lingzhi Liu, Jirawan Deeprasert, Songyu Jiang
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Conceptualization
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Impact of meme marketing on consumer purchase intention: Examining the mediating role of consumer engagement
This paper analyzes an emerging form of social media marketing, meme marketing, which has gained attention for its ability to entertain and engage users. Marketers and companies are recognizing the value of using memes as a tool to connect with consumers. To understand the effects of meme marketing activities, this paper aims to examine the impact of meme marketing activities on consumer purchase intentions and concurrently assess the mediating role of consumer engagement. The study encompassed 452 Indian social media users with active social media accounts and familiarity with memes and meme marketing concepts. It employed a quantitative methodology backed by robust statistical techniques. The method used for analysis was Structural Equation Modeling (SEM) through Analysis of Moment Structures (AMOS) software. The results found that meme marketing activities have a direct and significant positive impact (β = 0.257, p < 0.05) on consumer purchase intentions. It further shows that meme marketing has a direct and significant positive impact (β = 0.745, p < 0.05) on consumer engagement. It shows that consumer engagement has a direct and significant positive effect (β = 0.651, p < 0.05) on consumer purchase intention. However, the indirect impact of meme marketing activities on consumer purchase intentions is also significant, resulting in partial mediation. The study findings hold value for marketing managers, agencies, and companies that interact and engage consumers with memes and undertake meme marketing activities.
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Life insurance companies marketing strategy in the digital world
Insurance Markets and Companies Volume 9, 2018 Issue #1 pp. 70-78 Views: 4184 Downloads: 1415 TO CITE АНОТАЦІЯThe research is aimed to evaluate the internet marketing strategies in of life insurance companies in Ukraine. The insurance service in the time of digitalization faces scenarios of implementation in the marketing strategy on-line component. The main challenge for Ukrainian life insurance companies comparatively with the world practice is non-obligatory status of such kind of insurance contracts. So, on the one hand, costs of operation, regulatory pressures and inflexible technology infrastructure are increasing, and, on the other hand, economic recession does not allow to increase the number of insured persons, premiums and profit growth.
Sector of financial services is characterized by an increase in the level of competition, life insurance compelled to compete with pensions funds, banks and other financial institutions in order to defend their market share. Insurance companies marketing strategy determines how an insurer can best achieve its goals and objectives, keep existing customers and attract new ones with minimal costs.
Keeping all the above problems around the study would attempt to study all the factors that contributed to the effective marketing strategies. This paper presents different marketing strategies that are taken up in life insurance services keeping in view external and internal environment of the company. -
The effects of social media live streaming commerce on Vietnamese Generation Z consumers’ purchase intention
Thi Thuy An Ngo
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Chi Thanh Bui
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Huynh Khanh Long Chau
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Nguyen Phuc Nguyen Tran
doi: http://dx.doi.org/10.21511/im.19(4).2023.22
Innovative Marketing Volume 19, 2023 Issue #4 pp. 269-283 Views: 4150 Downloads: 2891 TO CITE АНОТАЦІЯSocial media live streaming commerce is an emerging and effective online shopping channel that integrates live streaming and e-commerce through social media platforms. This trend has gained significant attention, particularly from Generation Z, who are drawn to the interactive and entertaining aspects of shopping through live streaming. This study investigates factors affecting the purchase intention of Vietnamese Generation Z consumers in live streaming commerce on social media platforms, assessing the impact of six factors: entertainment, information quality, interactivity, perceived risk, peer customer evaluations and recommendations, and streamers. Using a non-probability sampling, an online survey was conducted among 344 consumers who possess prior experience with social media live streaming commerce. Data analysis used a partial least squares structural equation modeling technique. The findings revealed that increased entertainment, higher information quality, enhanced interactivity, positive peer customer evaluations and recommendations, and a more attractive and expert streamer positively impact purchase intention. Notably, streamers exhibited the most robust influence, while information quality demonstrated the weakest effect among the influencing factors. Conversely, perceived risk did not significantly hinder purchase intention, suggesting Generation Z consumers’ confidence in online transactions and their willingness to take risks for entertainment and interactivity in live streaming commerce. In light of these results, businesses are advised to elevate consumer purchase intentions by prioritizing aspects related to entertainment, information quality, interactivity, and peer customer evaluations. Prudent selection of streamers is highlighted as a pivotal strategy for organizations to effectively shape customer purchasing intentions.
Acknowledgment
The researchers express sincere gratitude to all the participants who generously participated in this study.

