Environmental surroundings are highly shaped by consumer choice. Eco-label has been discussed as an effective tool for promoting such environmental product information from the producer to the consumer in relevant literature; however, the young generation has seldom been examined in previous research. Additionally, studies on the structural process of eco-label’s impact on green purchase remain limited, especially the mediation effects within the process. Regarding this research gap, the current study empirically tested the effects of eco-label on product attributes, environmental attitude, environmental concern and consequent purchase behavior from the young Chinese generation perspective. The intermediary role of product attribute is first investigated in the labeling-driven purchase, and the environmental attitude and concern are tested respectively to better understand the young generation’s awareness, compared to previous relevant studies. Based on the appropriate sample collection (N = 699), a structural equation model (SEM) was used, and results statistically showed the impact of eco-label mediated by product attributes on environmental attitude and environmental concern, and how green purchase behavior was influenced through this process significantly. Theoretical contributions and managerial implications are also discussed in this study.
The future of businesses is not only orchestrated by emerging trends and megatrends but also to a greater extent struck by surprising events. With the accelerating presence of high-tech innovations and smart technologies, business activities are exposed to an increasingly volatile, uncertain, complex, and ambiguous environment. Any unexpected changes in the environment could lead to the malfunction or even collapse of a company, a business, or even an industry. Discerning the seeds of change and anticipating the potential disruptions in the external environment is a precondition for avoiding potential risks and threats. The present study contributes to the conceptual and methodological discussion of disruptive transformation by identifying, analyzing, and interpreting the potential disruptive factors in the external business environment. The venture is undertaken through the lens of probing into the dynamism of China’s e-commerce industry, considering its growing influence both domestically and abroad. Any unexpected disruptions would result in a significant ripple effect on interrelated businesses, industries, and even economies. The research adopts a combined mode of qualitative and quantitative methods in the form of horizon scanning and a Consumer Delphi study. Horizon scanning collects futures signals indicating the seeds of change (i.e., weak signals) and potential disruptions (i.e., wild cards), whereas Delphi study solicits the evaluations on the degree of likelihood and impact of the collected factors from an expert panel. As a result, twenty-seven potential disruptive factors are discovered, categorized, estimated, and discussed.
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