Search Results (97)

To facilitate the successful achievement of the goals outlined in the 2030 Agenda for Sustainable Development, it is imperative to accelerate the advancement of green technological innovation effectiveness (GTIE). This study aims to synthesize three types of drivers and seven concurrent driving factors of green technological innovation effectiveness identified in existing theories, constructing a multiple concurrent mechanism model for such effectiveness. The fuzzy-set Qualitative Comparative Analysis (fsQCA) method is employed to identify the configurational conditions leading to high green technological innovation effectiveness. Furthermore, the robustness of these configurations is verified through panel decomposition, while Necessary Condition Analysis (NCA) is applied to test the necessity of the factors within these configurations and to conduct further examination. The results reveal that high green technological innovation effectiveness is driven by three types of multiple concurrent mechanisms: the “Demand–Pull and Technology–Push and Porter Effect-Driven” configuration type, the “Demand–Pull & Technology–Push-Driven” type, and the “Demand–Pull & Porter Effect-Driven” type. This paper’s contributions are threefold. First, it investigates the configurational drivers of green technological innovation effectiveness. Second, it uses Necessary Condition Analysis (NCA) to identify necessary conditions within these multiple concurrent effects, deepening insight into the drivers. Third, it reveals three patterns driving green innovation in industries and proposes corresponding sustainable manufacturing policy recommendations. Full article

Urban delivery demand continues to rise, intensifying last-mile logistics challenges and accelerating the transition from manual delivery to autonomous delivery robots (ADRs). This study investigates the behavioral mechanisms underlying consumers’ migration toward ADRs. Grounded in the socio-technical systems perspective, we integrate the Push–Pull–Mooring (PPM) model with Social Cognitive Theory (SCT) to explain how technological and social stimuli shape switching and continuance intentions through cognitive and emotional pathways. Survey data from 786 Chinese consumers, analyzed using second-order structural equation modeling, support the proposed framework. The results indicate that dissatisfaction with manual delivery (push) and perceived benefits of ADRs (pull) significantly enhance both switching and continuance intentions. Outcome expectancy positively predicts switching intention but negatively predicts continuance intention. Technophobia reduces switching intention but does not significantly influence continuance. Moreover, social norms moderate key relationships, highlighting the role of external social influence in technology transition. This study extends PPM research into the smart logistics context, introduces socio-cognitive mechanisms into technology switching analysis, and conceptually distinguishes switching and continuance intentions as separate constructs. The findings offer practical guidance for ADR developers and policymakers by emphasizing strategies to reduce emotional resistance, enhance social endorsement, and promote the sustainable adoption of autonomous delivery technologies. Full article

To avoid tourism market failure caused by inappropriate development strategies, a study was conducted on the travel preferences of Generation Z, the future tourism market. The study found that tourism has shifted from comfortable, tranquil, and easily accessible areas to areas with unique views, extreme topography, proximity to nature, and instagrammable features. This shift reflects tourists’ responses and motivations. This study used a mixed-methods approach, involving 28 tourism managers and 147 Generation Z tourists. Quantitative methods, such as questionnaires, examined tourism motivations through push and pull factors, while in-depth interviews, a qualitative method, examined shifts in the tourism space. The results of this study demonstrate a shift away from the classical view that younger generations’ tourism behavior is predominantly hedonistic and consumptive toward an experience-oriented, nature-connected orientation, aligned with the concept of eco-experiential tourism. Rather than indicating a uniform or definitive shift in reflection, this tendency highlights the growing importance of experiential, cultural, and digital values in Generation Z’s travel preferences. Theoretically, the study contributes to refining existing perspectives by emphasizing the social, technological, and ecological dimensions shaping these preferences. In practice, the findings underscore the need for tourism policies that integrate nature conservation, digital innovation, and the strengthening of local culture to support sustainable destinations. Full article

Rice production in Sub-Saharan Africa (SSA) faces significant challenges due to insect pest infestations, which threaten food security and farmer livelihoods. This review examines the major insect pests affecting rice in SSA and highlights sustainable management strategies, drawing on successful case studies. It explores successful methods, including the use of biological control agents in Nigeria; neem-based pesticides in Tanzania; push-pull technology in Kenya; agroecological practices in Mali; resistant rice varieties in Ghana and Nigeria; integrated farming systems in Liberia, Guinea Conakry, Nigeria, Kenya and Madagascar; and farmer field schools in Zambia. Emerging technologies such as biotechnology and precision agriculture offer further additional opportunities to enhance pest control when effectively integrated within existing IPM frameworks. However, financial constraints, limited awareness, policy-related challenges, and inadequate infrastructure continue to limit widespread adoption. In this context, the review identifies critical research gaps, including the need for region-specific solutions, improved biopesticides, and long-term assessment of sustainable practices. Policy recommendations call for greater government investments, capacity-building programs, supportive regulatory environments, and stronger collaboration among researchers, development partners, and local stakeholders. Addressing these challenges can foster resilient and sustainable rice production systems across SSA. Full article

Robotaxi services represent a major step in the commercialization of autonomous driving, offering efficiency, consistency, and safety benefits. However, despite technological advances, their large-scale adoption is far from guaranteed. Most urban users already rely on mature ride-hailing platforms such as Didi and Uber, making the real behavioral question not whether to adopt Robotaxi, but whether to migrate from existing services. Prior studies based on TAM, UTAUT, or trust models have primarily examined users’ initial adoption decisions, overlooking the substitution behavior that better captures how people shift between competing mobility services in real contexts. This study addresses this gap by applying the Push–Pull–Mooring (PPM) framework to examine users’ migration from ride-hailing to Robotaxi services, based on survey data collected from 1206 respondents across four Chinese cities (Beijing, Shanghai, Guangzhou, and Wuhan). The model was tested using structural equation modeling and multi-group analysis (SEM–MGA). Push factors reflect negative experiences with ride-hailing, including social anxiety and insecurity caused by drivers’ behaviors; pull factors emphasize Robotaxi’ autonomy and service reliability; while mooring factors capture habitual ride-hailing use and perceived Robotaxi risk. Findings indicate that push and pull factors significantly promote migration intentions, whereas mooring factors hinder them. Among all factors, perceived risk exerted the strongest negative effect (β = −0.36), underscoring its critical role as a barrier to Robotaxi migration. Gender differences are also evident, with women more sensitive to risks and men more influenced by reliability. By situating adoption within a migration context, this study enriches high-risk innovation theory and offers practical guidance for designing gender-sensitive and user-specific promotion strategies. Full article

Unmanned aerial underwater vehicles (UAUVs) will play significant roles in several complex application scenarios including observation of mesoscale ocean phenomena, monitoring of offshore platforms, ocean protection, and maritime rescue. These innovative vehicles can be used in the air and underwater and can easily enter and exit water. This review systematically analyzes the research progress, design challenges, and future prospects of UAUVs, emphasizing their potential to revolutionize integrated cross-domain collaboration. We classify UAUVs into five categories—rotary-wing, fixed-wing, folding-wing, hybrid-wing, and flapping-wing—based on propulsion configurations, and critically evaluate their prototypes, highlighting technological milestones and functional limitations. Unlike prior reviews focused solely on technical developments, this study advocates for a paradigm shift from a technology-push to a market-pull and technology-push interactive development model. Combining the design of UAUV with solutions to technical challenges and specific application requirements is crucial for practical deployment. By synthesizing historical context, current advancements, and future developments, this review not only provides possible strategies for design challenges but also lays a roadmap for UAUV commercialization. Full article

To meet the requirements of integrated accelerometers for a high-precision reference voltage under wide supply voltage range, high current drive capability, and low power consumption, this paper presents a bandgap reference operational amplifier (op-amp) circuit implemented in CMOS/BiCMOS technology. The proposed design employs a folded-cascode input stage, a push–pull Class-AB output stage, an adaptive output switching mechanism, and a composite frequency compensation scheme. In addition, overcurrent protection and low-frequency noise suppression techniques are incorporated to balance low static power consumption with high load-driving capability. Simulation results show that, under the typical process corner (TT), with VDD = 3 V and T = 25 °C, the op-amp achieves an output swing of 0.2 V~2.8 V, a low-frequency gain of 102~118 dB, a PSRR of 90 dB at 60 Hz, overcurrent protection of ±25 mA, and a phase margin exceeding 48.8° with a 10 μF capacitive load. Across the entire supply voltage range, the static current remains below 150 μA, while maintaining a line regulation better than 150 μV/V and a load regulation better than 150 μV/mA. These results verify the feasibility of achieving both high drive capability and high stability under stringent power constraints, making the proposed design well-suited as a bandgap reference buffer stage for integrated accelerometers, with strong engineering practicality and potential for broad application. Full article

Production flow control is a key area affecting the productivity of production systems. The use of an appropriate control method ensures that customer requirements are met while maintaining an acceptable level of production costs. In many cases, the choice of control method does not allow for significant improvements in production processes, as the known guidelines are not very detailed. This article presents research on the impact of factors related to products, production processes, and customer orders on, for example, the number of technological operations, the number of production stations, product demand (product, process, and order conditions—PPOC), and the effectiveness of production flow control methods. This research was conducted for selected product families (water and gas fittings) for which various production flow control solutions were developed. The most popular control methods were used: push–schedule, supermarket-type pull, sequential pull, mixed pull, and drum-buffer-rope. The criteria for evaluation were in-process stocks and lead time of materials in the production process. As a result of the ranking, relationships were identified by indicating how the values of PPOC factors affect the effectiveness of a given production flow control method. The results of this research can serve as guidelines for companies in selecting the most appropriate method of controlling production processes. Full article

Manual wheelchair users are at high risk of upper limb overuse injuries due to repetitive propulsion mechanics. To address this, we developed a novel detachable push–pull dual-propulsion device that enables both forward and backward propulsion, aiming to reduce shoulder strain and promote balanced muscle engagement. This study presents a protocol to evaluate the device’s biomechanical impact and ergonomic effects, focusing on objective, quantitative analysis using a repeated-measures within-subject design. Thirty participants with spinal cord injury will perform standardized propulsion trials under two conditions: push and pull. Motion capture and surface electromyography (EMG) will assess upper limb kinematics and muscle activation. Each propulsion mode will be repeated over a 10-m track, and maximum voluntary contraction (MVC) data will be collected for EMG normalization. The protocol aims to provide objective evidence on the propulsion efficiency, muscle distribution, and ergonomic safety of the device. Findings will inform future assistive technology development and rehabilitation guidelines for manual wheelchair users. Full article

Under the background of globalization and the latest technological changes, many enterprises ensure corporate competitiveness and sustainable development by deploying production globalization and transforming production modes. This paper proposes a task-based enterprise model to study how enterprises’ production mode transformation toward intelligent manufacturing affects corporate offshoring production. Intelligent manufacturing forms relative push–pull forces on corporate offshoring production through reshoring effects and offshoring effects on the extensive margin of task sets while promoting corporate offshoring production through productivity effects on the intensive margin. Empirically, this paper constructs a staggered quasi-natural experiment using China’s Intelligent Manufacturing Pilot Demonstration Projects (IMPDP), adopts the heterogeneity-robust nonlinear Difference-in-Differences (DID) method, and confirms that intelligent manufacturing has significant positive causal effects on Chinese manufacturing enterprises’ offshoring production. The reshoring effect of intelligent manufacturing is stronger than the offshoring effect, but its powerful productivity effect masks the reshoring effect in overall empirical results. The positive effects of intelligent manufacturing are more significant in non-state-owned enterprises (non-SOEs) and capital-intensive enterprises. Further considering host country selection for corporate offshoring, this study finds that intelligent manufacturing simultaneously promotes corporate offshoring production to both developed and developing countries, but enterprises prefer Belt and Road Initiative countries. Additionally, intelligent manufacturing also promotes corporate offshore trade activities while causing the reshoring of offshore R&D activities. Overall, the transition of production modes toward intelligent manufacturing in Chinese manufacturing enterprises generally leads to a further expansion of corporate offshoring production. Full article

Aviation is widely recognised as one of the most carbon-intensive modes of transport and among the most challenging sectors to decarbonise. The use of green hydrogen (H₂) in airside operations can help reduce emissions from air transport. While the pace and scalability of technology development, including H₂-powered and ground support equipment, will be key factors, other financial, regulatory, legal, organisational, behavioural, and societal issues must also be considered. This paper investigates the key opportunities and challenges of using H₂ in the aviation industry through eleven semi-structured interviews and a virtual expert workshop (N = 37) with key aviation industry stakeholders and academia. The results indicate that, currently, decarbonisation of the aviation sector faces several challenges, including socio-technical, techno-economic, and socio-political challenges, with socio-technical challenges being the most prominent barrier. This study shows that decarbonisation will not occur until the UK government is ready to have all the required infrastructure and capacity in place. Governments can play a significant role in directing the necessary ‘push’ and ‘pull’ to develop and promote zero-carbon emission aircraft in the marketplace and ensure safe implementation. Full article

In addressing the complexities of sustainable development, the integration of digital technologies (DTs) with supply chain collaboration offers firms diverse strategic solutions. While prior studies have examined how DT shapes internal decision-making and stakeholder engagement, limited attention has been paid to how DT influences the dynamic collaborative capabilities of distinct supply chain stakeholders in advancing corporate sustainability. Grounded in the dynamic resource-based view (Dynamic RBV), this study conceptualizes sustainable dynamic capabilities (SDCs) as comprising sustainable information capability (SIC) and sustainable relationship capability (SRC)—the abilities to share sustainability-related information and to adapt and leverage external sustainable partnerships, respectively. Using panel data from manufacturing firms listed on China’s Shanghai and Shenzhen A-share markets between 2010 and 2023, sourced from CSMAR and iFinD databases, this study employs fixed-effects and system GMM models to test the proposed relationships. Results show that DT enhances SIC, which in turn facilitates SRC, ultimately improving corporate sustainability performance (CSP). Moreover, firms at different supply chain positions exhibit distinct sustainability priorities as upstream suppliers focus on resource efficiency, while downstream customers emphasize environmental compliance and product-level sustainability. These upstream and downstream actors influence CSP through two mechanisms—resource-driven “source-push” and demand-driven “value chain-pull”. This study deepens the understanding of stakeholder heterogeneity in sustainable collaboration and offers practical insights for managers to tailor sustainability strategies that reinforce supply chain-wide dynamic capabilities. Full article

A zero-voltage switching (ZVS) push–pull self-oscillating arc ignition circuit was proposed, marking the first application of ZVS technology in welding arc ignition systems. The circuit’s working principle was analyzed, and time-domain waveforms of the switching transistors verified the realization of soft switching. A conducted interference test platform was established in order to assess the circuit’s electromagnetic compatibility under no-load and arc ignition transient conditions. In comparison with conventional domestic arc ignition circuits, the proposed ZVS circuit demonstrated substantially diminished quasi-peak interference levels, with a reduction exceeding 9.5 dB in both instances. Additionally, under no-load conditions, the ZVS circuit demonstrated interference levels comparable to those of a commercial Fronius system, while during arc ignition transients, it exhibited an over 5 dB reduction. The findings of this study demonstrate that the incorporation of soft-switching techniques into arc ignition circuits can effectively mitigate conducted interference, thus providing a promising and practical approach for industrial welding equipment. Full article

As photovoltaics’ (PVs) capacity will probably rapidly expand to tens of terawatts globally, the diversification of the PV technology portfolio becomes essential. Perovskite technology proffers promise for expanding solar energy market segments like building-integrated PVs and flexible PVs for the residential and industrial sectors. In this perspective, we calculate that under reasonably attainable values for the module cost, conversion efficiency, and degradation rate, a levelized cost of electricity (LCOE) of 10 EURct/kWh can be reached for perovskite PV in 2035. Furthermore, if, in 2035, the conversion efficiency can be increased to 25% and the degradation rate falls to below 1%, with a module cost of 50 EUR/m², the LCOE for perovskite PV could become around 8 EURct/kWh. For lower module costs, the LCOE would drop further, by which cost competitiveness with c-Si PV is in sight. We point out that even if the LCOE of perovskite solar modules may remain relatively high, they could still occupy an important role, particularly in the residential sector, thanks to their flexibility and lightweight properties, enabling a large suite of new applications. Overall, to push perovskite PVs towards successful commercialization, policy support will be indispensable. Full article

The ecological efficiency of cultivated land utilization is closely related to food security and the sustainable development of agriculture. As an important actor in the utilization of cultivated land, the transfer of labor to non-agricultural sectors and its impact on ecological efficiency remain underexplored. Taking China as an example, this study employs push–pull theory, technology factor substitution theory, and land scale economy theory to explore the motivations and mechanisms of non-agricultural labor transfer. An empirical analysis was conducted using provincial panel data from 2011 to 2023. The research methods include the super-efficiency SBM model, fixed effect model, mediating effect model, and threshold effect model. The results are as follows: (1) Non-agricultural labor transfer promotes improvements in the ecological efficiency of cultivated land utilization. A 1% growth in non-agricultural labor transfer is associated with a 0.615% improvement in the ecological efficiency of cultivated land utilization. The impact is especially evident in the main grain-producing areas and northern regions. (2) As a modern agricultural production factor, agricultural machinery plays a mediating role in factor substitution at the farmland stage, accounting for 39% of the effect. (3) The scale of agricultural land operation exhibits a single threshold effect with a threshold value of 1.1577. Against the backdrop of widespread non-agricultural labor transfer, this study provides a reference for further strengthening the utilization of agricultural machinery and promoting large-scale land operations. Full article