Search Results (163)

This study fabricated choline–acrylic acid deep eutectic solvent (DES) hydrogels via in situ free-radical polymerization and systematically investigated the individual and co-optimization effects of lignin dosage and water content on the chemical structure, micromorphology, compressive mechanical properties, swelling behavior, and thermal stability of the hydrogels. This work quantitatively uncovers the co-optimization mechanism between the two variables in modulating crosslink density and pore architecture, thereby filling a research gap in the dual-factor co-optimization of biomass-based DES hydrogels. The results reveal that a moderate lignin dosage (0.02 g) generates abundant dynamic hydrogen bonds, densifying the crosslinked network and raising the maximum compressive stress from 0.378 MPa to 0.426 MPa, whereas excessive lignin triggers molecular aggregation and deteriorates mechanical performance. Higher water content dilutes crosslinking sites, reduces network compactness, boosts the swelling ratio while lowering compressive strength, and exerts negligible impacts on thermal degradation characteristics. FTIR analysis confirms that lignin participates in network formation solely through non-covalent hydrogen bonds, without forming new covalent bonds. A comprehensive performance evaluation identifies the optimal formulation as 0.02 g lignin and 60 g water. Although this two-factor optimization strategy provides clear experimental and theoretical guidance for designing sustainable soft materials, the present work still has limitations, including the use of only static laboratory characterizations, with no cyclic mechanical measurements or aging assessments. This study advances the customized performance tuning of lignin-derived DES hydrogels and facilitates the high-value valorization of lignin, which is promising for multifunctional green-material applications, including adsorption, flexible electronics, and biological carriers. Full article

Business model adjustment is a critical capability for microenterprises operating in import-dependent industries within emerging markets, and is increasingly recognised in the sustainable business model literature as a mechanism through which firms build economic resilience under resource constraints and volatile operating conditions. This paper examines how a specialty coffee microenterprise in Almaty, Kazakhstan, has adjusted its business model to create, deliver and capture value in a non-producing, landlocked economy characterised by rapid demand growth, currency volatility and high import dependency. The study answers two research questions regarding this case using Osterwalder and Pigneur’s business model canvas as the main analytical framework: (1) How did the case company set up its business model to create, deliver, and capture value? (2) In the context of Kazakhstani specialty coffee roasting, what possibilities and challenges influenced this business model? The analysis combines secondary market data with qualitative evidence from a semi-structured interview conducted in autumn 2025 with the founder of a nine-employee microenterprise that has evolved from a mobile coffee bar into a hybrid B2B–B2C roaster, café operator and e-commerce subscription service. Although Kazakhstan is not a coffee-producing country, its retail coffee market expanded from USD 326.71 million in 2019 to an estimated USD 554.5 million in 2025, with the fresh-coffee share rising from approximately 30% to 37%. The interview account describes a business model centred on locally roasted, traceable specialty coffee delivered fresh to a young, urban customer base, supported by educational and community-building activities. As reported by the founder, the enterprise faces structural challenges including exposure to international green-coffee price spikes—such as the record nominal highs of 354.32 US cents/lb reached in February 2025—currency-related cost volatility, logistical complexity across Eurasian transit routes and constrained access to growth-stage financing. Because the evidence base is a single founder interview combined with secondary market data, the paper does not independently verify the firm’s resilience, viability or financial outcomes. The findings are presented in the form of analytical generalisations—that is, generalisations relating to theoretical conclusions drawn from this specific case, rather than from a broader set of companies—which illustrate, based on the founder’s own account, how this micro-enterprise pursued a targeted, phased adaptation of its business model rather than a radical overhaul; the study does not independently verify resulting sustainability or resilience outcomes. As this is a case study, the present analysis does not allow us to determine the extent to which this model is representative of other micro-enterprises involved in coffee production, or of other non-manufacturing sectors in developing economies; the contribution of this study is empirical and contextual rather than theoretical: it extends the scope of business model analysis to under-researched geographical and institutional contexts and lays the groundwork for future comparative studies. Full article

With growing emphasis on green and low-carbon development and rising urban delivery demand, electric vehicles (EVs) have been increasingly adopted in logistics distribution systems. However, their limited driving range, relatively long charging durations, and the limited capacity of charging stations pose substantial challenges to real-world electric delivery operations. When multiple vehicles arrive at a station with a limited number of chargers, queueing delays may disrupt subsequent customer service and increase total operating costs. To address this issue, this study investigates an electric vehicle routing problem with capacitated charging stations and queueing delays. A mixed-integer linear programming model is formulated, and an enhanced adaptive large neighborhood search (ALNS) algorithm is developed to efficiently solve medium- and large-scale instances. In the proposed model, each vehicle visit to a charging station is represented as a charging event, while finite station capacity is enforced through charging-event assignment and temporal non-overlap constraints. Computational results show that the enhanced ALNS matches the proven optimal solution for the 10-customer instance. For the 15- and 20-customer instances, the best objective values obtained by the enhanced ALNS were 0.39% and 4.84% lower than the corresponding time-limited Gurobi incumbents, respectively. For the 30-, 50-, and 100-customer instances, the enhanced ALNS consistently generates feasible solutions within the prescribed computational budget, whereas Gurobi does not obtain a feasible incumbent within substantially longer time limits. Compared with the baseline ALNS, the enhanced version generally achieves lower mean objective values and more favorable convergence behavior. Sensitivity analyses further show that increasing the number of chargers and improving the charging rate can reduce queueing delays and total charging duration. The proposed approach provides practical decision support for reliable and sustainable urban electric freight operations. Full article

This research investigates how CE initiatives, interpreted as manifestations of corporate social responsibility, shape green value co-creation, green collaborative culture, and green supply chain integration across both supplier and customer contexts. The proposed conceptual framework also explores the possibility that digital maturity can moderate these interrelations, based on signaling theory. Empirical results, obtained through PLS SEM and NCA on a data sample of 493 suppliers and customers, confirm that CE practices have a significant positive impact on green value co-creation, which, in turn, influences the green collaborative behavior of the actors and the integration of the supply chain. The moderating role of digital maturity is reinforced in the linkages between green value co-creation, collaboration, and integration. Thereby, their effectiveness is strengthened. This study adds to the literature by proposing an integrative relationship between CE practices and outcomes within the supply chain dyad, offering a rare empirical study of relationships between suppliers and organizations in an emerging economy, and shedding light on the boundary condition of digital maturity within these relationships. The results have significant implications for managers seeking to maximize their sustainability performance through circular practices and digital capabilities. Full article

Environmental supply-chain governance increasingly requires firms to trace climate accountability across buyer–supplier relationships. This study examines whether downstream customer climate pressure is associated with suppliers’ green supply-chain management and value-chain carbon accountability among Chinese listed firms. We construct an exposure-weighted customer pressure measure by combining disclosed top-customer relationships with customer climate-accountability signals, and we decompose this measure into disclosure-based and non-disclosure-based components so that symbolic and substantive accountability can be separated. We then link this measure to supplier green supply-chain indicators, value-chain carbon-disclosure components, Scope 3 disclosure, environmental investment, and reported environmental performance indicators, including air emissions, water pollutant discharge, resource consumption, and environmental tax. Using firm-year panel regressions with fixed effects, alternative pressure measures, selection corrections, and extended outcome tests, we find an association between customer climate pressure and supplier value-chain disclosure. The depth of the association is concentrated where customer carbon-disclosure visibility is observed and is not separately identified in the smaller climate-only subsample, while the value-chain interaction association is positive but imprecisely estimated there. The value-chain disclosure associations are robust to a year-stratified randomization-inference placebo test. We do not find evidence that customer pressure is associated with supplier emissions, resource use, environmental investment, or environmental tax in the available matched samples. The pattern is consistent with symbolic compliance in supply-chain carbon accountability: customer disclosure visibility maps into supplier disclosure visibility, while we do not observe parallel movement in substantive environmental outcomes. The central finding is therefore that downstream customer climate pressure is associated with what suppliers disclose rather than with what they emit, shaping supplier disclosure behavior rather than substantive emission reduction. The estimates apply to supplier-year observations with disclosed and mappable listed-customer links, which we treat as the scope condition of the study rather than as an incidental data limitation. Full article

Carbon emission regulations and customers’ green preferences require ports and shipping companies to develop green services, but green investments entail significant costs. Vertical alliance cooperation between ports and shipping companies through sharing costs can address this issue. Most studies use non-cooperative game to analyze the competitive relationship between ports and shipping companies. Although such research can capture price competition, they struggle to address the distribution of cooperative benefits within an alliance. They also fail to simultaneously reflect the coexistence of competition and cooperation. So, we constructed a non-cooperative–cooperative biform game to analyze green investment under vertical alliance. In the non-cooperative stage, the model captures vertical price competition between ports and shipping companies, as well as horizontal competition among supply chains. In the cooperative stage, the Shapley value is used to allocate the coalition profits from green investment cooperation. The results indicate that alliance cooperation can promote the green development of shipping. Moderate green competition can promote the green development of shipping. Route substitution competition will increase service prices and green investment level and reduce the cost-sharing ratio for shipping companies. Port congestion prompts ports to increase green investment level. These findings offer references for the green collaborative development of ports and shipping companies across different countries, thereby enriching the research framework for global sustainable development in shipping. Full article

This paper presents a study on green value co-creation behavior in the relationship to tourists’ behavior, including perceived green empowerment, experience value, satisfaction and brand advocacy, specifically considering the role of perceived greenwashing in these relationships based on Service-Dominant Logic. A quantitative study using the structural equation modeling analysis technique was conducted with customers of tourism businesses in Vietnam. The result of the study shows that green value co-creation behavior has a positive effect on perceived green empowerment, experience value, satisfaction and brand advocacy. In addition, the study also shows the positive effect of perceived green empowerment, experience value and satisfaction on brand advocacy. Perceived greenwashing reduces the impact of green value co-creation behavior on perceived green empowerment, experience value and satisfaction. The research results provide empirical evidence confirming the important positive role of green value co-creation and the barrier role of perceived greenwashing in achieving positive outcomes on customer behavior of tourism businesses. At the same time, the study provides useful information for managers in increasing perceived green empowerment, experience value, satisfaction and brand advocacy through customer green value co-creation activities, based on honest and standard green practices. Full article

The socks, hosiery, bodywear (SHB) industry is a critical segment of the textile sector, characterized by high-volume production and rapid delivery requirements, making efficiency and resource optimization essential. A corporate sustainability system is needed to minimize environmental impact, ensure long-term competitiveness, and align operations with global sustainability standards. Thus, this research aims to propose an integrated Corporate Sustainability System (CSS) framework that synergizes Lean Manufacturing (LM), Digital Transformation (DT), and sustainability transition through a methodological triangulation of (1) a narrative review, (2) in-depth expert interviews, and (3) a comprehensive Turkish case study. The proposed framework integrates foundational lean principles such as 5S, TPM, and Value Stream Mapping with Industry 4.0 technologies, including RFID traceability, real-time ERP integration and machine vision systems. Empirical demonstration through the case study reveals that establishing foundational lean maturity is a critical foundation for successful digital adoption. Furthermore, the study demonstrates that transitioning from manual tracking to integrated digital platforms resolves data silos and enhances the transparency of customer revisions and warehouse accuracy. The framework also incorporates human-centric Lean 5.0 improvements, proving that ergonomic interventions such as rail-mounted cable systems are vital for operational sustainability. Ultimately, the CSS provides a scalable model that aligns SHB production with global mandates like the EU Green Deal and CBAM, positioning the sector for long-term competitive advantage in an increasingly eco-conscious global market. Full article

In the online shopping context, the proliferation of digital platforms has contributed to an increase in impulsive buying behavior (IBB), which can sometimes lead to regret. This study aims to explore the intrinsic and extrinsic stimuli that influence consumers’ online impulsive buying behavior, which subsequently affects their post-purchase cognitive dissonance, with the moderating role of price consideration (PC). The conceptual framework was formulated using the Stimulus–Organism–Response (S-O-R) model. A total of 813 responses were collected and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings revealed that perceived utilitarian value (PUV), perceived enjoyment (PE), fear of missing out (FOM), and green trust (GT) positively impact online impulsive buying behavior (IBB), which, in turn, positively impacts post-purchase cognitive dissonance (PCD). Moreover, a significant moderating role of PC is found in the relationship between IBB and PCD, suggesting that consumers with low price consideration tend to regret their impulsive buying more. The findings provide insights that guide online retail sellers and digital marketers to develop or implement customized strategies based on the intrinsic and extrinsic stimuli that influence customers’ impulsive buying and subsequent post-purchase cognitive dissonance. Full article

Service encounters have long been viewed as determinants of hotel guest loyalty, yet excellent service does not always translate into repeat patronage. This study examines how green service encounters shape guest loyalty in green-certified luxury hotels in Bali, a leading sustainable tourism destination. It investigates whether green experiential value and green customer delight mediate the effect of green service encounters on green hotel loyalty. Survey data from 273 domestic repeat guests of Green Globe and Earth Check-certified luxury hotels in Bali were analyzed using partial least squares structural equation modeling (PLS-SEM). The results show that green service encounters influence loyalty primarily through green experiential value and green customer delight, with delight exerting a comparatively stronger mediating effect. The study extends green hotel loyalty research by theorizing and testing an emotion-centric, sustainability-anchored loyalty mechanism beyond traditional service-quality and satisfaction models. Managerially, the findings highlight the need for certified luxury green hotels to design green service encounters that create distinctive experiential value and delight, thereby strengthening long-term guest loyalty. Full article

This work aims to study the optimal policy of a sustainable supply chain problem under interval uncertainty. In this chain, the customers’ demand is fluctuated within an interval and its rate is shaped by three factors: the selling price, green level, and heat-resistance efficiency. To handle this fluctuation, all interval-valued demand parameters and cost components are presented in a parametric form. And this leads to the building of imprecise profit functions in parametric form for both the centralized and decentralized scenarios of the supply chain. This work differs from existing interval-valued models by jointly incorporating green-level and heat-resistance-dependent demand within a parametric optimization framework. Now, the core research question of this study is as follows: how can one find the optimal policy of the system under imprecise parametric settings? To answer this question, this work introduces a new optimization technique, named parametric optimization, to study the optimal policy of the imprecise parametrized profits of different scenarios of the system. Using this parametric optimization technique and game-theoretic approach, the formulae for finding optimal values of decision variables along with optimal profits in all scenarios are obtained. Then, numerical examples are provided to demonstrate the optimal policy of the proposed model. Finally, a post-optimality analysis is performed to examine the effects of variations in key system parameters on optimal policies of the system. This research offers practical insights to study how the supply chain’s partners can navigate uncertainty by meeting sustainability goals. Full article

The main objective of this article is to conduct a literature review on the use of open innovation (OI) for green transition to identify tools and methods that can make green transition more effective, efficient, and socially acceptable. This review is accompanied by an attempt to answer the following research questions: R1. How can open innovation be used in the economy and by individual entities to achieve the goals of the green transition? R2. How can individual stakeholders be activated and motivated to participate in the process of creating open innovation for the green transition? and R3. What are the real effects of using open innovation on a macroeconomic, social, and individual scale? The results allow concluding that OI is used by enterprises, cities, regions, and entire economies. Among the methods of activating and motivating individual stakeholders to engage in the process of creating OI for green transition, the following can be selected: (1) internal resources and competencies (knowledge management, internal programs, open leadership, trust, complementarity of resources); (2) partnership characteristics (modern business models, involvement of partnership intermediaries, strengthening relationships with suppliers and customers, involvement of prosumers, cooperation with universities and research institutions); (3) external legal and regulatory conditions (protection of intellectual property rights, pro-innovation and pro-environmental education systems, creation of a legal framework for cooperation between science and business); and (4) external technical and organizational solutions (online platforms, social media, Living Labs, external sources of knowledge). The most frequently mentioned individual effects of open innovation in the energy sector include: improved efficiency, effectiveness and competitiveness in environmental management and the implementation of sustainable development, as well as the use of modern technologies. At the economic level, OI supports investment and economic growth. It can also have a positive impact on reducing energy poverty and developing renewable energy sources, including in emerging economies. This form of innovation also promotes social integration and the creation of social values. The findings of this review can be utilized by scholars to identify current and future research directions. They may also prove valuable for practitioners as both an incentive to engage in open innovation and guidance for its design and implementation. Furthermore, the results can contribute to disseminating knowledge about open innovation and its role in the green transformation. Full article

This study moves beyond the static view prevalent in hospitality loyalty research by developing and longitudinally testing a process-oriented model of loyalty formation. Recognizing that loyalty is a dynamic outcome, we employ a three-wave panel design with a three-month lag, surveying 562 customers of organic restaurants within green-certified hotels. Data are analyzed using a Cross-Lagged Panel Model (CLPM) to meticulously map the temporal interplay among key antecedents, controlling for autoregressive effects and covariates. The findings provide robust evidence for a specific cognitive-to-affective sequence: perceptions of food quality at one time point shape subsequent judgments of perceived value, which in turn drive customer satisfaction, ultimately fostering loyalty in a succeeding period. Crucially, the CLPM also reveals that food quality and price fairness exert significant, direct time-lagged effects on loyalty, suggesting the presence of dual psychological pathways. By establishing temporal precedence and mapping sequential mediation, this study offers a more causally robust and managerially actionable understanding of how customer loyalty evolves. Full article

Green co-creation plays a vital role in promoting sustainability by engaging both firms and consumers in value creation, yet most studies examine competition and cooperation separately without considering their interplay. This study investigates the dynamics of coopetition in green co-creation by developing a two-stage biform game that integrates competitive interaction and cooperative bargaining within a unified framework. The results show that (1) greater green co-creation efforts, representing deeper firm–customer interactions, improve both parties’ equilibrium outcomes; (2) cooperation leads to greater green effort investment than pure competition; and (3) when Nash bargaining conditions are satisfied, coopetition improves both individual profits and total welfare compared with sole competition. These findings highlight that coopetition not only strengthens mutual economic benefits, but also enhances sustainability performance by balancing competitive and cooperative forces. This study provides an analytical foundation for understanding firm–customer coopetition and offers actionable insights for advancing sustainable value creation in green supply chain management. 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