Search Results (198)

This study empirically examines how organizational learning influences problem-solving competency and organizational effectiveness in the context of online travel agencies (OTAs) and tests the moderating role of digital empowerment. Using agency lists registered under Korea’s Tourism Promotion Act, we employed stratified sampling by region and simple random sampling within strata. Data collection was commissioned by the Tourism/Leisure HRD Council. A survey was carried out from 2 to 19 June 2025; of the 210 questionnaires returned, 204 valid responses were analyzed. Measures were adapted from prior studies on a five-point Likert scale. Analyses conducted in SPSS 27.0 included descriptive statistics, exploratory factor analysis (EFA), reliability testing (Cronbach’s α), correlation analysis, and simple and hierarchical regressions. The results indicate that (1) organizational learning has a significant positive effect on problem-solving competency (β = 0.541, p < 0.001, R² = 0.293); (2) organizational learning positively affects organizational effectiveness (β = 0.436, p < 0.001, R² = 0.190); and (3) problem-solving competency positively influences organizational effectiveness (β = 0.624, p < 0.001, R² = 0.389). Regarding moderation, digital empowerment did not significantly moderate the organizational learning → problem-solving link but did significantly moderate the organizational learning → organizational effectiveness relationship (p < 0.05), suggesting that digital empowerment enhances the conversion efficiency of learning into performance. Theoretically, this study substantiates the learning–problem-solving–performance mechanism in a service/tourism setting and identifies digital empowerment as a catalytic moderator that strengthens the translation of learning into organizational outcomes. Practically, the findings imply that OTAs can amplify organizational effectiveness by building digital empowerment structures—data-driven decision systems, process automation, and real-time customer-response capabilities—which enable learned knowledge to materialize into performance. Future research should incorporate digital maturity, leadership, customer orientation, and related variables into extended models. Full article

Flowable resin composites are extensively used in restorative dentistry, where linear polymerization shrinkage and the resulting shrinkage stress are critical for clinical success. This study investigated the relationship between viscosity, linear polymerization shrinkage, and shrinkage stress in flowable resin composite materials. Two low-flow resin composites (Beautifil Flow Plus F00, Estelite Universal Flow SuperLow), two medium-flow resin composites (Tetric EvoFlow, Estelite Universal Flow Medium), and two high-flow resin composites (Beautifil Flow F10, Estelite Universal Flow High) were examined. Viscosity (n = 3) of the unset materials was determined using a cone–plate rheometer. The composites were photoactivated for 20 s at 1226 mW/cm², and linear polymerization shrinkage (n = 8) and shrinkage stress (n = 8) of 1.5 mm-thick specimens were recorded in real time for 5 min using a custom-made linometer and stress analyzer, respectively. Data were analyzed with Kruskal–Wallis rank tests followed by Conover post hoc tests, and Spearman correlation analyses were conducted to assess relationships between parameters (α = 0.05). A significant negative correlation was observed between viscosity and shrinkage stress (r = −0.943, p = 0.017). Beautifil Flow F10 exhibited the significantly lowest viscosity (14.60 ± 0.17 Pa·s) and the highest shrinkage stress (0.83 ± 0.14 MPa) among the materials, whereas low-flow composite Estelite Universal Flow SuperLow showed the lowest shrinkage stress (0.65 ± 0.10 MPa). Linear shrinkage ranged from 1.89 ± 0.13% to 3.18 ± 0.21%, but was not correlated with viscosity or stress (p > 0.05). In conclusion, viscosity critically influences polymerization-induced shrinkage stress development in flowable resin composites. Higher-viscosity flowable composites might be beneficial regarding stress build-up during polymerization compared with high-flow composites. Full article

Market volatility and resource constraints pose significant resilience challenges to small and medium-sized enterprises (SMEs). Although AI-agent automation, agile marketing, and customer relationship management (CRM) offer powerful individual solutions, their synergistic impact on SME resilience remains critically underexplored. This review bridges this gap by proposing an integrated, AI-driven resilience framework designed to enhance the adaptive capacity of smaller firms. Through a systematic analysis of 35 peer-reviewed articles, our study explicitly maps AI-agent automation, agile marketing, and CRM to the dynamic capabilities of sensing, seizing, and reconfiguring, clarifying the causal pathways to SME resilience. The framework defines key inputs (e.g., multi-channel customer data), processes (e.g., iterative sprints), and outputs (e.g., enhanced market responsiveness). We identify APIs and SaaS platforms as the critical technological backbone for implementation. The central finding is that this integrated model empowers SMEs to build dynamic resilience and achieve competitive parity through data-driven, automated workflows. Actionable recommendations include adopting API-first strategies, investing in workforce training, and prioritizing data security. Full article

This research investigates the synergistic relationships between Green Supply Chain Management (GSCM) practices and product innovation in marketing performance and organizational sustainability within Thailand’s processed food industry. Building upon Resource-Based View theory and Stakeholder Theory, this study addresses a critical gap in understanding how environmental practices interact with innovation strategies to create sustainable competitive advantages in emerging markets. The research employs a comprehensive mixed-methods approach, integrating qualitative insights from industry expert interviews with quantitative analysis through Structural Equation Modeling (SEM). Primary data were systematically collected from 300 strategically selected enterprises representing small (≤50 employees), medium (51–200 employees), and large-scale (>200 employees) operations across diverse product categories within Thailand’s processed food sector. The analytical framework examines three core GSCM dimensions—green purchasing, green production, and green distribution—alongside three innovation aspects—quality innovation, safety innovation, and sustainability innovation. Eleven hypothesized relationships were rigorously tested to examine direct and indirect effects on marketing performance indicators (sales growth, market share expansion, brand enhancement, customer satisfaction, and cost optimization) and organizational sustainability metrics (environmental impact reduction, regulatory compliance, competitive positioning, and resource efficiency). SEM results revealed that Green Production practices significantly enhance marketing performance (β = 0.16, p < 0.01), demonstrating the strategic value of environmentally responsible production processes in achieving market success. Conversely, Green Distribution exhibited negative effects on both marketing performance (β = −0.106, p < 0.10) and organizational sustainability (β = −0.152, p < 0.05), indicating potential operational trade-offs and infrastructure limitations that require strategic optimization. The model demonstrated excellent fit indices (GFI = 0.929, CFI = 1.000, TLI = 1.000, RMSEA = 0.000, RMR = 0.034), validating the theoretical framework’s robustness. However, modest explanatory power (R² MP = 0.050, R² OS = 0.029) suggests that additional contextual factors, firm-specific capabilities, and market dynamics significantly influence these outcomes, warranting future investigation of mediating and moderating variables. Full article

In the highly competitive restaurant industry, prioritising customer satisfaction is crucial for establishments pursuing differentiation and repeat business. Within this context, creating unique and memorable experiences has evolved from a marketing trend into a strategic imperative, compelling restaurants to deliver encounters that transcend mere functional service and quality. However, prior research has primarily examined quality factors and satisfaction in isolation, overlooking the mediating role of experiential realms in this relationship. This study offers a novel contribution by integrating service quality and experiential marketing within a single empirical model, addressing a gap in the hospitality literature. Specifically, few studies have empirically examined how tangible and intangible quality cues translate into the four experiential realms of the Experience Economy—aesthetic, escapist, entertainment, and educational—and how these, in turn, influence satisfaction and revisit intentions. Drawing on the Experience Economy framework, this study develops and tests a conceptual model linking quality antecedents—physical environment, food quality, and customer service—to the four experiential realms (aesthetic, escapist, entertainment, and educational) and subsequent satisfaction and revisit intentions. Using data collected from 312 restaurant customers, the hypotheses were tested through Structural Equation Modelling (SEM). The findings reveal that quality antecedents significantly influence experiential realms, which in turn enhance satisfaction and revisit intentions—offering a more nuanced mechanism than previously theorised. By being among the first to empirically test these relationships in the sit-down restaurant context, this study adds theoretical and practical insight into experience-based brand differentiation. Moreover, it provides actionable insights for restaurant managers seeking to transform quality delivery into memorable, loyalty-building experiences. Full article

The home-building industry is crucial to Thailand’s economic growth but unfortunately it is plagued by persistent sustainability problems stemming from fierce competition, cost fluctuations, and evolving consumer expectations. Therefore, this study sought to identify the main drivers of sustainable customer loyalty (CL) in the high-end home-building industry by integrating marketing communications strategy (MCS), service quality (SQ), and company management system (CMS) into a unified structural equation model (SEM). Data were collected from 680 customers registered with Thailand’s Home Builders Association through online and in-person surveys. Path analysis of latent variables using LISREL 9.10 showed that the model had strong explanatory power, explaining 72% of the variance of CL (R² = 0.72). MCS had the greatest total effect (β = 0.82), followed by SQ (β = 0.54) and CMS (β = 0.24). The results also showed how transparent communication interventions add to perceived quality while increasing management efficiency which jointly sustains long-term CL. These findings confirm that strategic communication, service excellence, and good corporate management provide the basis for the sustainable competitive advantage and economic resilience of Thailand’s home-building firms. The validated framework provides theoretical and managerial implications for incorporating sustainability into customer relationship strategies. Full article

This study addresses the growing importance of integrating innovation into corporate sustainability strategies by examining the financial and environmental performance of ten firms listed on the Borsa Istanbul Sustainability Index over a five-year period. The main objective is to develop and test a novel, data-driven analytical framework that reduces reliance on subjective expert judgments while providing actionable insights for sustainability-oriented decision-making. Within this framework, the entropy method from the Multi-Criteria Decision Making (MCDM) approach is first applied to calculate the objective weights of sustainability criteria, ensuring that the analysis is grounded in real performance data. Building on these weights, an innovative reverse Decision-Making Trial and Evaluation Laboratory (DEMATEL) model, implemented through a custom artificial neural network-based software, is introduced to estimate direct influence matrices and reveal the causal relationships among criteria. This methodological advance makes it possible to explore how environmental and financial factors interact with R&D expenditures and to simulate their systemic interdependencies. The findings demonstrate that R&D serves as a central driver of both environmental and financial sustainability, highlighting its dual role in fostering corporate innovation and long-term resilience. By positioning R&D as both an enabler and outcome of sustainability dynamics, the proposed framework contributes a novel tool for aligning innovation with strategic sustainability goals, offering broader implications for corporate managers, policymakers, and researchers. Full article

Water pumping stations are essential components of national water infrastructure, yet their construction involves complex, high-risk processes, and traditional risk management approaches often show significant limitations in practice. To address this challenge, this study proposes a Building Information Modeling (BIM)-based approach that integrates structured risk information into an interactive nD BIM environment. We first developed an extended Risk Breakdown Matrix (eRBM), which systematically organizes risk factors, assessment levels, and causal relationships. This is linked to the BIM model through a customized BIM–risk integration framework. Subsequently, the framework is further implemented and quantitatively validated via a Navisworks plug-in. The system incorporates three core components: (1) a structured risk information model, (2) a visualization mechanism for dynamic, spatiotemporal risk representation and (3) risk influence path analysis using the Decision-Making Trial and Evaluation Laboratory–Interpretive Structural Modeling (DEMATEL–ISM) method. The plug-in allows users to access risk information on demand and monitor its evolution over time and space during the construction process. This study makes contributions by innovatively integrating risk information with BIM and developing a data-driven visualization tool for decision support, thereby enhancing project managers’ ability to anticipate, prioritize, and mitigate risks throughout the construction lifecycle of water pumping station projects. Full article

Service platform enterprises have become a prominent economic form in China’s digital economy in the past two decades. The scope of complementary assets is expanding; for example, big data, precision marketing and user traffic conversion are among the emerging manifestations of complementary assets. Nevertheless, scholars have not yet explored how service platform enterprises utilize and maintain these vast complementary assets in the dynamic environment. Building on value innovation theory, this article attempts to reveal the impacts of complementary assets on the value innovation of service platform enterprises, and the conditioning roles of environmental dynamics. By contrasting findings and theoretical replication, we find that (1) complementary assets (specialized complementary assets, universal complementary assets) have promoting effects on service platform enterprises’ value innovation (customer value, partnership, business model changes); (2) environmental dynamics (market changes, technological changes) have moderating effects on the relationship between complementary assets and the value innovation of service platform enterprise. This research provides a novel and fine-grained theoretical framework to illustrate the multidimensional impacts of complementary assets and the contingent roles of a two-dimensional environmental dynamics on value innovation, thereby enriching the literature on value innovation theory and complementary assets, and providing actionable insights for service platform enterprises in leveraging complementary assets for value innovation, as well as guidance for regulatory departments in digital governance. Full article

Corporate social responsibility (CSR) plays a pivotal role in shaping sustainable and responsible supply chain practices, yet evidence of its determinants in emerging markets remains limited. Prior studies of customer concentration (CC) provide mixed findings, and the role of digital communication in shaping CSR outcomes has not been systematically investigated. This study examines how CC influences CSR adoption and how CSR affects firm performance in Indonesia, with particular attention given to the amplifying role of social media. Building on stakeholder theory and signaling theory, we analyze panel data of 654 publicly listed firms between 2018 and 2020. The results show that CC promotes CSR engagement, with stronger effects among non-state-owned enterprises that operate under greater market pressures. CSR is positively associated with firm performance, and this relationship is reinforced when firms actively communicate CSR activities through social media, enhancing visibility and credibility. This study contributes to research on CSR and supply chains by demonstrating how digital platforms amplify customer-driven CSR and offering implications for firms in emerging economies. Full article

Chimneypieces, washbasins, well heads, and sinks by Andrea Palladio represent refined design works following architectural systems on a reduced scale, even if systematic documentation and analysis of them is still limited. This paper introduces the custom knowledge-based Information System (IS) developed to study the design patterns and proportional relationships of these microarchitectures, after their digitization. The research employed smartphone-based photogrammetry to replicate fifty-seven chimneypieces and additional microarchitectures across twenty historical buildings; digital models were collected and organized into the IS enabling systematic typological and dimensional analysis. Proportional deepening revealed recurring ratios consistent with Renaissance treatise recommendations, alongside systematic variations suggesting design flexibility within theoretical frameworks. The IS integrates 3D architectural models by metadata attributes, providing a replicable framework for heritage documentation that combines scholarly rigor with technological accessibility. This approach offers new insights into Palladian design principles while establishing a scalable model for architectural heritage documentation and analysis. Full article

This study examines the mechanisms shaping citizen satisfaction in the context of digital government, taking Guangdong Province’s highly centralized “Yue Sheng Shi” platform as a case study. Building on the American Customer Satisfaction Index (ACSI) framework, a structural model was tested with survey data from 647 respondents and variance-based structural equation modeling. The results indicate that digital service expectations and citizen participation both enhance perceptions of service quality, with participation showing the stronger influence. Higher perceived service quality leads to greater citizen satisfaction, while government responsiveness strengthens this relationship. These research findings enrich the theoretical understanding of how satisfaction with e-government services is formed and extend the application of the ACSI framework to the Chinese digital governance context, while offering practical implications for governments on managing expectations, promoting citizen participation, and enhancing responsiveness in building citizen-centered digital platforms. Full article

This study examines how Industry 4.0 (I4.0) technologies enhance supply chain resilience (SCR) in manufacturing firms by testing the mediating roles of supply chain agility (SCAG), supply chain adaptability (SCAD) and the moderating effect of customer integration (CI). Grounded in the Resource-Based View (RBV) and Dynamic Capabilities View (DCV), the research conceptualizes digital technologies—such as the Internet of Things (IoT), big data analytics, and artificial intelligence (AI)—as both strategic resources and enablers of dynamic capabilities in turbulent environments. Survey data were collected from 273 manufacturing firms in Turkey, a context shaped by geopolitical and economic disruptions, and analyzed using structural equation modeling (SEM). The results indicate that I4.0 technologies positively affect SCR directly and indirectly through SCAG and SCAD. However, while agility consistently strengthens resilience, adaptability shows a negative mediating effect, suggesting context-specific constraints. CI significantly amplifies the positive impact of I4.0 on SCR, underscoring the importance of external relational capabilities. Theoretically, this research advances supply chain literature by integrating RBV and DCV to explain how digital transformation drives resilience through distinct dynamic capabilities. Practically, it offers guidance for managers to combine digital infrastructure with collaborative customer relationships to mitigate disruptions and secure long-term performance. Overall, the study provides an integrated framework for building resilient supply chains in the digital era. Full article

This study explores how Instagram fashion influencers build brand loyalty through customer engagement within the framework of sustainable consumption. Grounded in the stimulus–organism–response (SOR) theory, influencer marketing is conceptualized as a stimulus that activates customer engagement (organism), which in turn enhances brand loyalty (response). A cross-sectional survey was conducted with 279 Instagram users in Palestine who actively follow fashion influencers, and the model was tested using partial least squares structural equation modeling (PLS-SEM). The findings confirm that social media influencer marketing (SMIM) significantly improves both engagement and loyalty. Customer engagement was found to be both a partial mediator and a significant moderator, such that highly engaged consumers exhibited stronger loyalty responses—suggesting intensified value alignment and emotional resonance in sustainability contexts. This study extends the prior literature by integrating the creation–consumption–contribution (C–C–C) model into the SOR framework and conceptualizing engagement as both a psychological state and a boundary condition. It contributes to sustainable consumption research by illustrating how participatory digital behaviors can foster ethical brand relationships, particularly in emerging economies. Practically, it offers strategic guidance for fashion brands and influencers to design campaigns that promote co-creation, authenticity, and eco-conscious narratives. It also emphasizes the importance of aligning influencer values with those of sustainability-minded consumers to foster long-term loyalty. By contextualizing the findings within the Palestinian market, the study highlights how cultural factors may shape engagement and sustainability perceptions, paving the way for future cross-cultural investigations. Full article

In today’s service-driven economy, brands increasingly turn to social media marketing activities (SMMA) to build meaningful, long-term customer relationships. Grounded in social exchange theory (SET), this study examines how SMMA influences customer engagement (CE), relational benefits (confidence, social, and special treatment), and ultimately relationship equity—offering new insights for trust-based services, such as banking. SET provides a powerful lens to explain how perceived value in brand-initiated exchanges drives customer reciprocity. A between-subjects experimental design (n = 298) was employed using real social media ads from a bank to enhance ecological validity. Participants were randomly assigned to ad exposure or control conditions, and data were analyzed using PLS-SEM. Results show that SMMA significantly enhances CE and relational benefits. In turn, CE, along with confidence and social benefits, contributes to relationship equity. Special treatment benefits, however, had no significant effect. Ad exposure amplified the impact of SMMA on CE and relationship outcomes. Theoretically, this study advances SET by revealing how digital brand interactions translate into lasting customer bonds. Practically, the findings indicate that banks should prioritize SMMA for increased CE and relational benefits. When combined with targeted advertising efforts, this can significantly improve relationship equity. Full article