Background/Objectives: This study investigates consumers’ purchase intention (PI) toward health and wellness foods (HWF) in China by examining key factors, such as health-consciousness (HC), desire, and attitude toward organic food. Methods: Data were collected via online surveys completed by Chinese respondents aged 50–65 years. Of the 270 distributed surveys, 230 valid responses (85.2% effectiveness) were analyzed. A multi-analytic approach was employed, integrating Partial Least Squares–Structural Equation Modeling (PLS–SEM), Necessary Condition Analysis (NCA), and Combined Importance-Performance Map Analysis (cIPMA), to explore the hypothesized relationships. Results: The results reveal consumers’ HC has a strong influence on their PI toward HWF, with attitude and desire sequentially mediating this relationship. Furthermore, the results of NCA confirm that HC and desire are necessary conditions for purchasing HWF, whereas attitude is not. Conclusions: Based on these findings, the study provides suggestions for future research and practical recommendations for HWF businesses.

Stakeholder engagement (SE) is an important factor in making a project successful. Steered by the resource-based value (RBV) and stakeholder theories, this paper aims to explore not only the correlation between sustainable project management (SPM) and sustainable project success (SPS), but also the moderating effect of SE on this connection. Data was gathered from 365 questionnaires distributed to construction project professionals in China. Structural equation modelling was employed to test the proposed hypotheses. The results confirm that both SPM and SE positively affect SPS, but the positive moderating effects of SE were found to be insignificant. This article provides the basis for the Chinese construction industry to determine how to achieve SPS through the enhanced implementation of SPM and effective SE.

This study uses Stackelberg game theory, considering different combinations of carbon emission reduction policies and that high-carbon-emission enterprises may face various carbon emission reduction regulations, to explore the production inventory problems in a multinational supply chain system. The purpose is to determine the manufacturer’s optimal production, shipping, carbon reduction investment, and the retailer’s replenishment under the equilibrium for different carbon emission policy combinations. To develop the production inventory models, this study first develops the total profit and carbon emission functions of the supply chain members, respectively, and then obtains the optimal solutions and total profits of the manufacturer and the retailer under different carbon emission policy combinations through the mathematical analysis method. Further, this study used several numerical examples to solve and compare the proposed models. The results of numerical analysis show that regardless of the increase in carbon price or carbon tax, the manufacturer and retailer will adjust their decisions to reduce carbon emissions. Specifically, an increase in the carbon price contributes to an increase in the total profit of manufacturers, while an increase in the carbon tax reduces the total profit of manufacturers. This study also explores a sensitivity analysis on the main parameters and has yielded meaningful management insights. For instance, in cases where low-carbonization strategies are required, the manufacturer or retailer can effectively reduce the carbon emissions resulting from production or purchasing activities, thereby significantly reducing overall carbon emissions. It is believed that the results of this study can provide enterprises/supply chains with reference to their respective production, transportation, carbon reduction investment, and inventory decisions under carbon emission policies, as well as information on partner selection and how to adjust decisions under environmental changes.

SPM (sustainable project management) is vital to enhancing the success of projects. Despite several studies dealing with the connection between SPM and project success, this nexus is still insufficiently addressed. Steered by institutional theory and resource-based value theory, the purpose of this article is to investigate not only the link between SPM and SPS (sustainable project success), but also the mediating effect of SPP (sustainable project planning) on this connection, and the antecedent role of the institutional pressures (mimetic isomorphism pressure, MIP; normative isomorphism pressure, NIP) on SPM. To test the proposed hypotheses, this article applies PLS-SEM (partial least squares structural equation modeling) and recruited 365 project professionals who have experience in participating in SPM projects in China’s construction industry. The results confirm that both MIP and NIP significantly affect SPM, with NIP being the most significant. Moreover, the findings evidence that SPM had a significantly positive impact on SPS and SPP, and SPP had a significantly positive effect on SPS. Furthermore, the results also evidence that SPP mediates the effect of SPM on SPS. These findings provide empirical evidence for construction companies to understand SPM in the Chinese construction industry. They may also help policymakers to formulate proper policies to promote SPM to achieve sustainable development.

Plant-based meat alternatives (PBMAs) are gaining momentum in response to rising demand for sustainable and healthier diets. Drawing on an integrated framework combining the Theory of Planned Behavior (TPB) and the Value–Attitude–Behavior (VAB) model, this study explores key determinants shaping consumers’ purchase intention towards PBMAs in Taiwan. This study performed Partial Least Squares Structural Equation Modelling (PLS-SEM), fuzzy-set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA) to evaluate the formation of consumers’ PBMA purchase intention. The PLS-SEM results revealed that both environmental consciousness and health consciousness exert a significant influence on consumer attitudes, which, together with subjective norms and perceived behavioral control, positively predict purchase intention. fsQCA revealed six distinct combinations of conditions leading to high purchase intention, while NCA identified environmental consciousness, health consciousness, and the three TPB components as necessary conditions. The results highlight the mediating role of attitude and underscore the value of integrating multiple analytical perspectives to capture the complexity of consumer decision-making. This research advances both theoretical understanding and practical application by elucidating the psychological mechanisms underpinning PBMA adoption and by providing evidence-based implications for strategic marketing within the plant-based food sector.

This study explores a supply chain product-inventory problem with advance sales under the omni-channel strategies (physical and online sales channels) based on the brand owner’s business model and develops corresponding models that have not been proposed in previous studies. In addition, because the brand owner is a member of the supply chain, and has different handling methods for defective products or products returned by customers in various retail channels, defective products or returned products are included in the supply chain models to comply with actual operating conditions and fill the research gap in the handling of defective/returned products. Regarding the mathematical model’s development, we first clarify the definition of model parameters and relevant data collection, and then establish the production-inventory models with omni-channel strategies and advance sales. The primary objective is to determine the optimal production, delivery, and replenishment decisions of the manufacturer, physical agent, and online e-commerce company in order to maximize the joint total profits of the entire supply chain system. Further, this study takes the supply chain system of mobile game steering wheel products as an example, uses data consistent with the actual situation to demonstrate the optimal solutions of the models, and conducts sensitivity analysis for the proposed model. The findings reveal that increased demand shortens the replenishment cycle and raises order quantity and shipment frequency in the physical channel, similar to the online channel during normal sales. However, during the online pre-order period, higher demand reduces order quantity and cycle length but still increases shipment frequency. Rising ordering or fixed shipping costs lead to higher order quantity and cycle length in both channels, but variable shipping costs in the online channel reduce them. Market price increases boost order quantity and frequency in the online channel, while customer return rates significantly impact inventory decisions.