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Despite growing interests in integrating Artificial Intelligence (AI) in education, there is limited evidence on how professional development can facilitate meaningful AI infusion. This study examines how AI-related professional development influences teachers’ AI beliefs and their use of AI in instruction. It also examines whether teachers’ AI beliefs mediate the relationship between AI-related professional development and AI infusion in instruction. Partial least squares structural equation modeling (PLS-SEM) was employed, using a teacher-level dataset of 34,628 teachers from 55 economies who participated in the 2024 cycle of Teaching and Learning International Survey (TALIS). Findings revealed a direct, positive, and significant influence of AI-related professional development on both teachers’ AI beliefs (β = 0.165, p < 0.001) and AI infusion (β = 0.163, p < 0.001). Teachers’ AI beliefs also directly and significantly predict their infusion of AI. Finally, this study identified a positive and significant relationship between AI-related professional development and AI infusion, mediated by teachers’ beliefs about AI. Findings underscore the need to design professional development initiatives essential in equipping teachers with technical skills and strengthening their confidence in supporting sustained integration of AI technology in classrooms worldwide. Full article

Social media influencers (SMIs) have become effective intermediaries that influence consumer perceptions, attitudes, and behavioral intentions through their online presence and persuasion skills; this has made it imperative to comprehend how buyer-related variables contribute to brand loyalty within contemporary marketing research. This study, therefore, examines the effect of social media influencer capability on brand loyalty in Saudi Arabia, using brand trust as a mediating variable and authentic leadership as a moderating variable. Utilizing Social Exchange Theory and Authentic Leadership Theory, the study applied a quantitative cross-sectional survey design. Data were purposively collected from 476 active social media users in three major commercial hubs in Saudi Arabia (Riyadh, Jeddah, and Dammam). The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that authenticity and communication skills have a positive and significant influence on brand trust and brand loyalty, but expertise and influence only have a significant and positive influence on brand trust, not on brand loyalty directly, which means that the two constructs are indirectly influencing brand loyalty. The study also finds that authentic leadership significantly moderates the relationship between expertise, influence, and communication skills and brand loyalty, while the interaction with authenticity is not significant. Moreover, the mediation analysis shows that brand trust plays a significant mediating role in the relationships between communication skills, expertise and influence and brand loyalty, implying that the antecedents play a leading role in fostering loyalty by first developing trust. The study contributes to theory by offering a process-based perspective on the concept of brand loyalty that positions brand trust as a fundamental mechanism and authentic leadership as a vital enabling context. The findings have practical implications for organizations that want to strengthen brand loyalty through authentic communication, trust-building strategies, and leadership practices in social media-based contexts. Full article

As artificial intelligence (AI) changes educational practices, understanding what sustains pre-service teachers’ generative AI use beyond initial adoption becomes important. However, existing research mainly focuses on initial acceptance rather than continuance intention, which is a more realistic indicator for sustainable technology integration. This study drew on an integrated framework including psychological (GAI anxiety, GAI self-efficacy), contextual (facilitating conditions, social influence), and perceptual factors (perceived ease of use, perceived usefulness) to examine pre-service teachers’ continuance intention toward GAI in future teaching. Survey data from 549 Chinese pre-service teachers were analyzed using structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). Results showed that GAI self-efficacy had the strongest positive associations with both perceived ease of use and perceived usefulness. GAI anxiety negatively influenced both perceptions. However, facilitating conditions did not significantly relate to perceived usefulness. The fsQCA identified six configurational pathways clustered into the following three patterns: intrinsic value driven, efficacy capability driven, and external support driven. These findings suggest that teacher education programs should prioritize building GAI self-efficacy and supportive peer environments and not focus solely on infrastructure provision. Full article

This study examines the determinants of city brand equity in the context of Riyadh Season, a large-scale cultural and entertainment festival in Saudi Arabia. Drawing on Aaker’s customer-based brand equity framework adapted to the city-brand context and informed by Source Credibility Theory (SCT), the study tests the direct effects of brand association, brand awareness, brand loyalty, and customer satisfaction on city brand equity, as well as the moderating role of online influencers. Survey data were collected from 991 attendees and analyzed using structural equation modeling (SEM). The results indicate that brand awareness and brand loyalty significantly enhance city brand equity, whereas brand association and customer satisfaction have no significant effects. Contrary to prevailing assumptions in tourism and digital branding research, online influencers do not moderate the relationships between brand equity dimensions and overall city brand equity. These findings identify boundary conditions for influencer effectiveness and suggest that, in experience-intensive and time-bound mega-events, city brand equity is driven more by recognition and repeat attachment than by influencer-mediated communication or post-event satisfaction. The study refines city brand equity theory and offers practical guidance for policymakers and event organizers seeking to build sustainable city brands beyond influencer-centric strategies. Full article

Secondary salinization in mulched drip-irrigated cotton fields of arid oasis–desert transition zones in Xinjiang imposes coupled root-zone constraints, including salt-induced aggregate structural degradation and ionic stress. However, field evidence remains limited on whether integrating a structure-oriented soil conditioner with humic acid can generate stable improvements across growing seasons. A two-year field experiment with a randomized block design (three replicates) was conducted to evaluate four treatments: control (CK), polyacrylamide (PAM, 30 kg ha⁻¹), humic acid (HA, 450 kg ha⁻¹), and PAM + HA. Soil physical and chemical properties and aggregate-size distribution were determined after harvest, while enzyme activities and root traits were assessed at the flowering–boll stage. Structural equation modeling (SEM) and random forest (RF) analysis were used to explore soil–root–yield linkages and identify key soil predictors associated with yield variation. Treatment effects were most evident in the 0–20 cm layer, with PAM + HA showing the greatest overall improvement. In the topsoil, PAM + HA lowered soil pH from 8.35 to 7.88 in 2024 (p < 0.05), increased soil organic carbon (SOC) to 4.29 g kg⁻¹ in 2025 (p < 0.01), and increased NO₃⁻–N to 25.51 and 30.27 mg kg⁻¹ in 2024 and 2025, respectively (both p < 0.05). PAM + HA also enhanced cellulase activity from 6.17 to 16.85 mg glucose g⁻¹ 72 h⁻¹ in 2024 and increased seed cotton yield to 6683.69 and 5996.89 kg ha⁻¹ in 2024 and 2025, with a 51.0% yield increase over CK in 2024. SEM showed that root development had the strongest direct positive effect on yield (β = 0.79, R² = 0.63; goodness of fit (GOF) = 0.74), while random forest identified alkaline phosphatase, cellulase, and NO₃⁻–N as the main yield predictors (out-of-bag R² (OOB R²) = 0.672, p = 0.01). This study elucidated the effects of the combined application of a structure-oriented soil conditioner and humic acid on the root-zone environment of mulched drip-irrigated cotton fields in arid regions, providing a theoretical basis for the coordinated regulation of soil structural improvement and nutrient activation in saline–sodic cotton fields. Full article

In many hospitality workplaces, customer deviant behaviour is no longer an occasional frustration but a routine part of frontline employees’ day, steadily draining their energy, dignity and desire to deliver great service. Yet in sub-Saharan Africa, especially in Ghana, there is still limited evidence showing how this behaviour undermines employees’ motivation and what can realistically be done inside organisations to buffer its impact. This study explored how mistreatment from customers affects the service motivation of frontline employees in Ghanaian hotels and examines whether supportive supervisors can act as a protective buffer. Using a quantitative cross-sectional survey of 508 frontline staff in licensed hotels in the Kumasi Metropolis, the study applies Partial Least Squares Structural Equation Modelling (PLS-SEM) to test these relationships. The findings reveal that when customers display deviant behaviour, employees feel less motivated to offer high-level service. On the other hand, strong supervisor emotional support uplifts service motivation and partially mediates the harm caused by deviant customers. These results show that everyday supervisory support (listening, empathizing, and standing up for staff) can make a tangible difference to how motivated employees feel after difficult customer encounters. The study therefore offers practical guidance for hotel managers who want to safeguard employees and sustain high service standards in demanding customer environments. Full article

Jujube (Ziziphus jujuba Mill.) cultivation in arid regions of China faces severe soil constraints, including high alkalinity, low organic matter content, and poor water retention. Although soil amendments have demonstrated potential for improving soil quality, their combined effects on soil–plant–microbe interactions in desert agroecosystems remain poorly understood. This study conducted a three-year field experiment in a desert jujube orchard in southern Xinjiang, China, to evaluate six nitrogen fertilizer management strategies: urea alone (CK) or combined with biochar (NB), bentonite (NP), graphene (NS), biochar plus bentonite (NBP), or microbial inoculants (NW). Soil physicochemical properties, enzyme activities, bacterial community structure, and jujube yield were analyzed. Structural equation modeling (SEM) was employed to elucidate the pathways linking soil amendments to crop productivity. Results showed that NBP was the most effective in improving soil physical structure, significantly reducing bulk density and enhancing water retention capacity compared to the control. The NBP treatment also enhanced soil organic matter (30% increase), available phosphorus (119% increase), and urease activity (44% increase), resulting in the highest jujube yield (7.14 kg per tree). Bacterial community analysis revealed that NBP significantly increased Shannon diversity and enriched Actinobacteriota and Proteobacteria. SEM analysis indicated that urease activity served as a significant mechanistic pathway linking soil organic matter improvements to enhanced crop productivity. These findings demonstrate that combined application of biochar and bentonite with nitrogen fertilizer represents an effective strategy for improving soil quality, enhancing microbial functionality, and increasing crop yield in desert jujube orchards, providing a practical and synergistic amendment combination for sustainable soil management and productivity enhancement in arid agroecosystems. Full article

Clarifying the relationship between landscape patterns and runoff coefficient, along with identifying key influencing pathways, is crucial for formulating sustainable water resource management strategies. Since the launch of the Grain-for-Green (GfG) project in 1999, the landscape pattern of the Loess Plateau has been profoundly reshaped, altering regional rainfall-runoff processes. Assessment across 27 catchments selected in the central Loess Plateau demonstrated forest and grassland areas expanded by 738.8 km² and 480.4 km², respectively, paralleled by a 20.1% enhancement in vegetation coverage. Correspondingly, surface runoff decreased by 28.1–90.6% in the 2000s and 12.8–95.5% in the 2010s compared to the 1960s, with a similar decline in runoff coefficient. This study further developed a novel landscape unit mapping method, integrating vegetation coverage, land use, slope, and soil type to compute landscape metrics. Partial least squares regression (PLSR) and piecewise structural equation modeling (piecewiseSEM) were constructed to systematically analyze the linkage between landscape patterns and surface runoff. The constructed landscape metrics explained 64.6% of the variance in the runoff coefficient, with perimeter area fractal dimension (PAFRAC), mean perimeter-area ratio (PARA_MN), and aggregation index (AI) exerting significant influence. The findings provide a scientific basis for water resource management in regions with similar environmental characteristics. Full article

The fashion industry’s business is becoming increasingly complicated and active. This industry is expected to be highly competitive, particularly in the retail sector. Therefore, this research aims to examine the impact of supply chain information sharing and quality management on firm performance, with supply chain agility as a mediating variable, in the Asian fashion industry. A total of 169 participants from the fashion sector in a developing country were surveyed. The proposed hypotheses were examined using a quantitative approach, employing Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS to assess and validate the measurement model. The results indicate that supply chain information sharing and quality management have a significant impact on a firm’s performance. Similarly, the sharing of supply chain information and quality management has a significant impact on firm performance by mediating supply chain agility. The study offers actionable insights for managers in volatile fashion supply chains. Firms can enhance performance by sharing real-time demand and inventory information, strengthening key quality practices, and adopting flexible, data-driven production processes. Integrating information sharing, quality management, and agility enables faster responses to shifting consumer trends, thereby improving overall competitiveness in fast-fashion environments. This study offers valuable guidance for supply chain professionals seeking to enhance practices within their networks. The results underscore the strategic importance of information sharing and quality management in promoting agility, an essential capability for achieving a competitive advantage. Additionally, the insights generated are relevant to practitioners, policymakers, and industry leaders aiming to strengthen supply chain responsiveness and resilience. Full article

This study identifies the psychological factors that influence consumers’ pre-order decisions and the underlying mechanism. Building on the literature on value congruence in consumer behavior and cognitive consistency theory, we examine how value congruence affects information-seeking engagement and pre-order intentions in the context of information technology (IT) products. Using partial least squares structural equation modeling (PLS-SEM), we find that when consumers perceive value congruence with IT products, they are more likely to seek additional product information, which in turn increases their pre-order intentions. Contrary to prior research that has primarily focused on the operational factors or consumers’ individual aspects in pre-order decisions, our study highlights the importance of value alignment between consumers and products in affecting pre-order decisions. Given the increasing prevalence of IT product pre-order phenomenon in e-commerce, this study contributes to the literature on pre-ordering behavior and consumer judgment and decision-making. It also provides valuable insights for effectively promoting and developing pre-order strategies when launching new products. Full article

With the increasing importance of cultural consumption and the sustainable revitalization of intangible cultural heritage (ICH), visual communication has become a key mechanism for translating cultural meanings into contemporary branding contexts. This study develops a semiotics-informed structural model that integrates semiotic theory with consumer behavior frameworks to explain how cultural visual symbols influence brand preference through cultural cognition and cultural identity. Using Wufangzhai as an empirical case, partial least squares structural equation modeling (PLS-SEM) is applied to survey data from 274 consumers. The results indicate that different visual elements exert differentiated effects on cultural cognition, with color and packaging showing stronger influences, while typography plays a more significant role in shaping cultural identity. Cultural identity is also found to mediate the relationship between cultural cognition and brand preference. These findings contribute to cultural branding research and provide practical insights for the design of ICH visual communication systems. Full article

Conservation easements (CEs) represent a complex policy instrument designed to mediate the feedback loops within coupled human and natural systems in protected areas. However, their efficacy is often constrained by a lack of systemic understanding of the localized drivers of community support. Building upon the successful implementation of Forest Land Easements (FLEs) within China’s Qianjiangyuan National Park Pilot, this study investigates the potential to expand this policy model to other land types. This study investigates the multilevel factors influencing residents’ willingness to adopt three types of CEs, including forest land (FLE), agricultural land (ALE) and homestead land (HLE) easements in China’s Qianjiangyuan National Park Pilot, the country’s primary CE reform site. We conceptualize a hierarchical support model wherein community participation (CP) and human well-being (HW) interact with support for park management (SM), forming a subsystem that drives decisions within the broader land-use. Utilizing structural equation modelling (SEM) and stepwise regression analysis on survey data from 336 households, we tested this model. The results reveal that SM acts as a critical direct mediator and positive driver of CE acceptance, while CP and HW exert significant indirect effects through SM, demonstrating a key feedback pathway. Regression analyses further elucidate that support for different CE types is driven by distinct configurations of factors, highlighting the heterogeneous nature of subsystems. Notably, livelihood benefits and prior participation experiences emerged as consistent, cross-cutting systemic leverages. It demonstrates that leveraging the implementation experience and community support gained from existing forest land easements is crucial. This study concludes that effective CE design must move beyond one-size-fits-all approaches. It necessitates differentiated, adaptive policies that are coherently aligned with local livelihood subsystems and strategically strengthen participatory feedback mechanisms initiated by successful FLEs. Our findings provide an evidence-based framework for designing resilient, socially sustainable conservation policies in complex protected area systems, grounded in proven practice. Full article

Despite growing scholarly interest in the CSR–sustainability nexus, the mechanisms through which distinct CSR dimensions translate into corporate sustainability performance (CSP) remain theoretically underspecified, particularly among small and medium-sized enterprises (SMEs) in emerging economies. This study aims to address this gap by collecting survey data from 473 small and medium-sized enterprises (SMEs) in the Chinese manufacturing industry to explore the relationship between corporate social responsibility, business model innovation, and corporate sustainability performance. This study also includes four dimensions of corporate social responsibility: CSR to the environment (CSRET), CSR to employees (CSRES), CSR to the community (CSRCY), CSR to consumers (CSRCR). Combining structural equation modeling (SEM) with qualitative case evidence, results indicate that all four CSR dimensions—CSRET, CSRES, CSRCY, and CSRCR—positively affect business model innovation (BMI), and BMI, in turn, significantly promotes the development of corporate sustainability performance (CSP). Bootstrap-based mediation tests confirm that BMI serves as a significant mediator in all four CSR-CSP pathways. These findings extend stakeholder theory and the resource-based view by demonstrating how socially oriented organizational commitments are channeled into sustainability outcomes through business model reconfiguration within China’s unique institutional context. Full article

This study examined how social media content influences value co-creation among organic product consumers through the mediating roles of environmental awareness, green truth, and environmental attitude. Grounded in the Stimulus-Organism-Response (SOR) framework, social media content is conceptualized as a stimulus, environmental awareness, green trust, and environmental attitude as internal organism states, and value co-creation as the behavioral response. A cross-sectional quantitative design was applied using a 20-item questionnaire administered to 739 organic-product consumers. Data were analyzed using partial least-squares structural equation modeling (PLS-SEM). The results indicate that social media content does not directly affect value co-creation but significantly influences environmental awareness, green trust, and environmental attitude. Environmental awareness and green trust positively affect both environmental attitude and value co-creation, and environmental attitude emerges as the strongest direct predictor of value co-creation. These findings confirm the mediating role of cognitive and attitudinal mechanisms in transforming digital sustainability content into collaborative consumer behavior. This study contributes to the literature on sustainable consumption by integrating communication, cognitive, and attitudinal variables in a single explanatory model. Practically, the findings suggest that sustainability communication strategies in digital environments should prioritize credibility and environmental knowledge to foster consumer participation in value co-creation. Full article

Small- and medium-sized enterprises (SMEs) increasingly rely on digital technologies to sustain innovation, yet limited empirical evidence explains how business intelligence capabilities translate into superior innovation outcomes, particularly in emerging economy contexts. Addressing this gap, this study examines the direct and indirect effects of business intelligence capabilities on innovation performance by unpacking the mediating role of knowledge management capability and the moderating role of data-driven decision making within an integrated Resource-Based View and Knowledge-Based View framework. Conceptually, the study advances prior research by clarifying the complementary roles of these theoretical perspectives: the Resource-Based View explains what strategic digital resources firms possess, the Knowledge-Based View explains how these resources are transformed into organizational knowledge through knowledge management capability, and data-driven decision making explains when these capabilities are effectively converted into innovation outcomes. Data were collected through a survey of 316 owners and senior managers of small- and medium-sized hotels operating in Amman, Jordan, and analyzed using partial least squares structural equation modeling (PLS-SEM) as the primary analytical technique. The results indicate that business intelligence capabilities exert a significant positive effect on innovation performance, with this relationship largely transmitted through knowledge management capability, demonstrating that the value of business intelligence lies in its integration into organizational knowledge processes rather than in data availability alone. Moreover, data-driven decision making strengthens the relationship between business intelligence capabilities and innovation performance, functioning as an execution-level capability that enhances the conversion of digital and knowledge-based resources into innovation outcomes. To further validate the robustness of the findings, a post-hoc moderated mediation analysis using Hayes’ PROCESS macro version 4.2 was conducted as a confirmatory analysis. By conceptualizing business intelligence, knowledge management, and data-driven decision making as an interconnected socio-technical capability system, this study advances digital innovation theory and offers actionable insights for SME managers seeking to orchestrate capabilities for innovation under resource constraints. Full article