Search Results (715)

E-commerce platforms are increasingly adopting cross-platform targeted advertising strategies, and the design of such strategies warrants attention. Focusing on cooperation between e-commerce and social media platforms, this study considers targeting precision, advertising intensity, privacy concerns and social utility on the effectiveness of targeted advertising. Using a game-theoretic model, we examine the decision between single- and cross-platform for e-commerce platforms in fully and partially overlapping user groups. The main findings indicate that (1) the social utility of social media platforms is a key factor in implementing cross-platform targeted advertising; (2) cross-platform targeted advertising is not always the optimal choice for e-commerce platforms; and (3) low-precision cross-platform strategy achieves three-party optimum in fully and partially overlapping user groups. The implications of the main findings include: (1) e-commerce platforms should prudently use social media platforms instead of relying excessively on their traffic; (2) e-commerce platforms should not regard cross-platform cooperation as the default option but as a differentiated, situation-specific decision; and (3) e-commerce platforms should promote co-creation of value and proprietary data accumulation when cooperating with social media platforms. The findings can help e-commerce platforms to choose proper targeted advertising strategy in practice. This study also provides a theoretical supplement for cross-platform targeted advertising research. Full article

This study examines retailers’ information sharing aimed at enhancing product greenness within green supply chains, with consumer participation as a pivotal factor and the overarching goal of advancing the sustainable development of the whole supply chain ecosystem. Each supply chain comprises a green product supplier and a retailer with uncertain demand information. A tripartite evolutionary game model involving manufacturers, retailers, and consumers is constructed to analyze the factors influencing information sharing behavior, which serves as a critical pathway to achieve environmental and economic sustainability in green supply chain operations. The findings highlight two key insights: First, strong consumer willingness to purchase green products may inhibit retailers’ inclination towards information sharing, a counterintuitive outcome that needs to be addressed to align individual stakeholder behaviors with long-term sustainable development goals. Second, lower information sharing costs can motivate retailers to share information with manufacturers; otherwise, manufacturers must adopt technological measures to assist retailers in reducing information sharing-related costs, thereby achieving win–win outcomes across the supply chain and fostering a sustainable and collaborative green supply chain system that balances ecological benefits, economic gains, and social value co-creation. 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

Roadmapping is widely used as a collaborative management tool for innovation planning; however, how stakeholders co-create value throughout the roadmapping process remains insufficiently evidenced and operationalized. Drawing on service-dominant (S-D) logic and stakeholder integration, this study examines how stakeholders co-create value in planning innovative technologies through a roadmapping process. We conducted an interpretive single-case study in a technology-oriented organization using seven facilitated workshops with 36 stakeholders, and analyzed workshop artefacts, facilitator notes, and follow-up communications captured via collaboration platforms. The findings show that stakeholder value co-creation is enacted through recurring interaction patterns observed across W1–W7 and across initiation, development, and integration, supported by collaboration platforms that enable continuity, transparency, and traceability from early ideation to integrated roadmap outputs. This study contributes an empirically grounded, traceable process model linking S-D logic to roadmapping practice and provides actionable guidance for organizations orchestrating stakeholder participation in innovation planning. Full article

In a rapidly changing era, education systems must empower learners as community innovators through Place-Based Education (PBE). While School–University partnerships are global drivers of reform, the specific administrative mechanisms required to support and scale these innovations within decentralized policy frameworks, such as Thailand’s Education Sandbox, remain underexplored. This Research and Development (R&D) study, integrated with a Design Thinking framework, investigated school-led administrative innovations across four diverse jurisdictions in the Songkhla Education Sandbox over 12 months. The study synthesized a collaborative administrative framework structured around four core pillars: Strategic Mentoring and Thinking Partnership, Place-Based Educational Ecosystems, Adaptive Governance and Resource Autonomy, and Collective Synergy and Iterative Development. Empirical findings indicate that this framework supported the development of “Innovative Co-creator” characteristics among students, generating high-value outcomes such as “Songkhla Mini Mango Coffee” and social innovations from water hyacinth. The study concludes that educational transformation thrives when administrative structures shift from compliance-driven mandates to flexible, context-responsive partnerships. By integrating university-led coaching with community assets, the framework offers a promising, contextually adaptable model for enhancing student learning outcomes while preserving local socio-cultural identity. This systematic approach supports the continuity of educational reform across diverse regional contexts. Full article

Volunteered Geographic Information (VGI) is geographic data obtained from voluntary contributions of individual contributors on social media and non-social media platforms, where contributors exhibit diverse interests and behavior patterns. While studies have found that the COVID-19 pandemic has influenced VGI contributor behavior on social media platforms (Facebook, X, and Instagram, etc.), less is known about contribution behaviors on non-social media VGI platforms such as OpenStreetMap (OSM). This study investigates how individual OSM contributors’ data contribution behaviors changed after the COVID-19 outbreak, using New York City as a case study. Metrics quantifying temporal, spatial, thematic, participation, and social interaction aspects of contribution behavior were developed to characterize individual-level contribution behaviors in both the pre- and post-COVID periods (2016–2019 and 2020–2023, respectively). Contributors were clustered into three groups based on pre-COVID behavioral patterns (as reflected by the metrics) using the K-Means algorithm. The resulting model was then applied to identify changes in contributors’ cluster memberships in the post-COVID period. Results reveal differences in contribution behaviors between the two time periods. Compared to pre-COVID contributors, post-COVID contributors, on average, showed stronger contribution engagement, including longer lifespans, larger spatial extent of edits, higher contribution volumes, a greater emphasis on modification over creation, and stronger co-editing network interactions. Healthcare amenity-related edits remained a small fraction of total contributions across both periods and all clusters. Contributors participating in data contribution in both time periods generally increased data contribution engagement after the COVID outbreak, characterized by longer lifespans, broader spatial coverage, more balanced creation and modification, and stronger network centrality. These findings highlight changes in individual contribution behavior under COVID-19 and exhibits the value of examining VGI contribution at the individual level. Full article

Relationship and sexuality education research has largely centred on adult perspectives, particularly in exploring home-based sexuality education. This study shifts the lens to youth voices by examining how adolescents from LGBTQ+ families in South Africa experience and actively participate in home-based sexuality conversations. Using arts-based collage-creating methods with the adolescent participants, youth interpretations of sexuality learning in LGBTQ+ family homes were explored. The findings reveal that youth are not passive recipients but active co-creators of family sexuality knowledge, developing critical literacies about heteronormativity through ongoing and responsive home-based conversations. Youth identified home as a distinct pedagogical space characterised by safety, personalisation, ongoing responsive dialogue, inclusivity of diverse sexual and gender identities, and responsiveness to their developmental needs. However, youth also navigate tensions between LGBTQ+-affirming home environments and heteronormative public spaces, developing sophisticated strategies for managing these boundaries. This study contributes empirical evidence for valuing informal sexuality education spaces and positions youth from LGBTQ+ families as knowledge producers whose experiences can inform more inclusive, dialogue-based approaches. The findings have implications for supporting family-based sexuality education and challenging adult-centric assumptions about youth capacities in sexuality learning. Full article

Culinary micro-, small-, and medium-sized enterprises (MSMEs) play a critical role in socio-economic sustainability, yet operate under heightened risks related to product quality, food safety, and business reputation. Although research on collaboration and co-creation often portrays openness as a desirable organizational orientation, limited attention has been paid to how MSMEs strategically regulate openness across their value-chain activities. This study explores how culinary MSMEs organize collaboration and negotiate boundaries between openness and closure. Using a qualitative multi-case approach, the findings show that openness is not uniformly applied but governed by a logic of selective openness shaped by risk exposure, accountability demands, and organizational capacity constraints. Core production activities function as protected zones characterized by strong closure, whereas market-facing functions allow more curated forms of external involvement. By reframing openness as a risk-based governance practice rather than a default collaboration strategy, this study provides a process-level explanation of how MSMEs sustain collaboration without compromising quality control, accountability, and organizational viability. The findings contribute to theorizing boundary governance in small enterprises and offer practical insights for designing collaborative strategies under conditions of risk and constraint. Full article

With the growing integration of AR/VR/Metaverse technologies across luxury brands, advertising has shifted to providing consumers with a personalised experience in which they can engage with brands via digital avatars. Given the considerable success of Metaverse advertising, it is apparent that organisations need to reinvent their advertising strategies to enhance consumer experience and brand engagement over digital platforms. However, this reinvention would require organisations to develop an advertising strategy that creates a coherent brand experience for consumers and provides them with an immersive brand experience on Metaverse platforms. As a result, this study undertakes a bibliometric approach to provide a comprehensive understanding of how integrating Metaverse platforms with advertising strategies can enhance brand engagement among consumers. More precisely, a keyword search strategy is formulated, and a multi-database search is performed across key databases, including Scopus, EBSCOhost, and ProQuest. In doing so, results from Scopus databases are visualised through network and overlay visualisation maps to understand how key themes/knowledge structures are associated with Metaverse advertising and brand engagement. Besides this, the study also showcases the key theoretical perspectives (i.e., psychological perspectives, value-based perspectives, technology/innovation perspectives, and social interaction perspectives) across these studies to understand how brands have well-infused Metaverse advertising to enhance brand engagement among consumers. Lastly, the study also provides a deeper understanding of the key challenges that are associated with the widespread implementation of Metaverse advertising. Full article

This paper addresses the growing sustainability fatigue in advanced economies. By analyzing Amazon’s artificial intelligence (AI) agent strategy as a model for “Rational Sustainability”, the study identifies a self-propagating growth trajectory that reconciles economic rationality with value creation. It provides a theoretical and empirical framework to overcome technological saturation and strategic homogenization in the generative AI era. To ensure methodological transparency, the analysis was conducted through two distinct stages: (i) Techno-econometric analysis (macro-level): Using an empirical dataset of 160 countries (40 advanced, 70 emerging, and 50 developing) from 2014 to 2024, the study utilized regression models to quantify the correlations and elasticities between three key proxies: GDP per capita (Y); the Human Capital Index (HCI), representing Institutional Capacity Building (ICB); and the E-Government Development Index (EGI), representing Endogenous Institutional Evolution (EIE). (ii) Hybrid AI analysis (case study): Utilizing process-tracing research, the paper examines Amazon’s R&D structure and AI agent strategy. This qualitative and structural analysis identifies how Amazon co-evolves EIE and ICB to conceptualize tacit knowledge and operationalize it into a competitive advantage. The findings reveal a marked disruption of the co-evolutionary mechanism in advanced economies, where the elasticity of EGI to GDP has declined since 2019, leading to a withdrawal state. In contrast, Amazon’s model demonstrates that the co-evolution of EIE and ICB creates a self-propagating growth engine. This research concludes that “Rational Sustainability”—grounded in evidence, economic rationality, and clear trade-offs—offers a viable pathway for revitalizing sustainability strategies in mature digital economies. Full article

Bipolar Polymer Membranes (BPMs) enable the creation of large, stable pH gradients by driving water dissociation (WD) at the cation/anion junction under reverse bias, a process central to electrodialysis, CO₂ capture, and emerging acid–alkaline water electrolysis. Yet despite decades of study, the mechanism by which intense interfacial electric fields accelerate WD remains debated and is often modeled with ad hoc assumptions. In this study, we present a power dissipation model in which minority ions from water autoprotolysis act as carriers that continuously dissipate field-supplied power in the hydrated nanometric junction. This dissipative input increases the local probability of heterolytic O–H bond cleavage and analytically leads to a quadratic dependence of the dissociation rate constant on the field. Without adjustable parameters, the model reproduces the required orders of magnitude for the enhancement ratio k_d(E)/k_d(0), where k_d(E) is the field-enhanced water dissociation rate constant and k_d(0) is its zero-field value across typical BPM fields, and yields a quadratic current–voltage junction law. A proof-of-principle measurement on a commercial Fumasep^® FBM bipolar membrane confirms the quadratic current–voltage trend, supporting a power-dissipation-driven water dissociation mechanism and providing a concise, falsifiable baseline for future studies. Full article

Phase 6 of the Sophimatics framework represents the culmination of a comprehensive research program integrating philosophical wisdom with computational sophistication to address fundamental challenges in artificial intelligence systems. Building upon the Complex-Time Recursive Model established in Phase 5, this phase introduces a human-in-the-loop iterative refinement methodology specifically designed for security-critical applications. Through systematic validation across real-world cybersecurity datasets, including NSL-KDD and CICIDS2017, alongside healthcare privacy scenarios using MIMIC-III derived data, we demonstrate that collaborative human–AI co-creation significantly enhances system performance across multiple dimensions, including interpretive accuracy, contextual fidelity, and ethical consistency. The proposed architecture implements three complementary feedback mechanisms: symbolic knowledge base refinement through expert-provided ontological corrections, neural parameter optimization guided by human evaluation of ethical alignment, and dynamic weight adjustment for value-system integration. Experimental results show substantial improvements over baseline approaches, with intrusion detection accuracy reaching 98.7% on NSL-KDD while maintaining 94.3% privacy preservation scores as measured by differential privacy guarantees. The healthcare privacy experiments demonstrate 97.2% sensitive attribute protection with only 2.1% utility loss compared to non-private baselines. Critical analysis reveals that human oversight mechanisms reduce false positive rates in ethical constraint violations by 67% compared to purely automated systems, while convergence analysis indicates stable performance after approximately 12–15 iterations across diverse application domains. These findings establish Phase 6 as an essential bridge between theoretical Sophimatics foundations and practical deployment in privacy-sensitive contexts, demonstrating that philosophically grounded AI architectures can achieve superior performance when augmented with structured human feedback loops. The work contributes both methodological innovations in human–AI collaboration and empirical validation, demonstrating the viability of Sophimatics principles for addressing contemporary challenges in data protection and cybersecurity. Full article

Background: Companion participation in medical consultations can influence the well-being of older adults with chronic illness, yet the mechanisms underlying this effect remain unclear. This study aimed (1) to examine how companion-reported value co-creation (coproduction and value-in-use) relates to patient-reported multidimensional well-being (psychological, existential, social, and physical), and (2) to test whether these associations vary according to patient and companion characteristics. Methods: A cross-sectional dyadic study of 907 patient-companion pairs (N = 1814) was conducted in Spain prior to the COVID-19 pandemic. Companions completed the adapted Spanish Value Co-creation Scale, while patients completed the McGill Quality of Life Questionnaire-Revised (MQOL-R). Construct validity was confirmed via confirmatory factor analysis, and structural equation modeling tested hypothesized relationships using robust maximum-likelihood estimation. Results: The model showed good fit (χ²/df = 2.41, CFI = 0.96, RMSEA = 0.041). Companion coproduction was positively associated with patient psychological (β = 0.32), social (β = 0.27), and existential well-being (β = 0.29), but not physical well-being. Value-in-use showed small negative associations (β ≈ −0.10 to −0.15), which may reflect relational strain arising when companions’ involvement is excessive or mismatched with patient needs. Coproduction effects were stronger among patients aged ≤75 years. Conclusions: Companion coproduction enhances key dimensions of patient well-being, highlighting its role as a relational resource in clinical practice. Conversely, higher companion value-in-use may signal potential relational strain. These pre-pandemic findings provide a baseline for post-COVID chronic care models that aim to actively involve companions and tailor support according to patient age. Full article

Online customization has become a prominent strategic approach for delivering personalized value. However, prior research has largely examined isolated relationships such as trust and purchase intention, customization and value, or value and loyalty. This study situates the issue within the broader context of digital co-creation and aims to provide an integrated explanation of how trust in an e-vendor and participation in e-customization shape multiple dimensions of customized product value and subsequent repeat purchase intention. Using survey data from 312 customers with prior online customization experience, the proposed relationships were tested through structural equation modeling. The results suggest that trust in an e-vendor increases participation in customization, which in turn enhances utilitarian value, uniqueness value, and self-expressiveness value. These value components positively influence repeat purchase intention, and several mediation effects have emerged. Specifically, participation partly mediates the effect of trust on all three value dimensions, while uniqueness value and self-expressiveness value partly mediate the effect of participation on repeat purchase intention. Overall, the findings provide empirical evidence for a trust–participation–value pathway and highlight the importance of both functional and symbolic value outcomes in sustaining customer engagement in online customization environments. Full article