Product Model Research Articles

A Three-Party Dynamic Pricing Mechanism for Customized Data Products Based on the Stackelberg Game and Bargaining Model

In the era of big data, breaking down data silos to enable efficient data transactions has become essential, with the fairness and transparency of pricing mechanisms being paramount. This study addresses these challenges by introducing a novel tripartite pricing model for customized data products that integrates the Stackelberg and bargaining game frameworks. By designing distinct utility functions for buyers, sellers, and the platform, the model effectively aligns the varying objectives of each participant. A dynamic adjustment mechanism further enhances this model by adaptively recalibrating the guidance price and pricing range based on real-time updates to buyer budgets and seller offers, thus ensuring fairness and responsiveness throughout the negotiation process. Experimental simulations comprising 100 transaction rounds across diverse buyer–seller profiles validate the model’s effectiveness, achieving a transaction success rate of 92.70% with an average of 6.86 bargaining rounds. These findings underscore the model’s capacity to optimize transaction outcomes, promote pricing equity, and enhance bargaining efficiency. The proposed model has broad applications in sectors such as finance, healthcare, and e-commerce, where precise data pricing mechanisms are essential to maximize transactional value.

Sovereign Debt and Climate Change in Argentina – The Catalytic Role of the IMF

Abstract This article studies the interdependence between Argentina’s public over-indebtedness and climate change. It addresses the following questions: What type of productive model does the Argentine public debt profile promote, and what is its impact on climate change? In a debt-servicing scheme marked by fiscal consolidation, which strongly conditions the state budget, what public funds are available to invest in adaptation and mitigation? Finally, what is the role of the IMF in this fiscal-environmental scheme? The article first presents the international commitments of the Argentine State in the face of climate change and the estimated fiscal cost of implementing the necessary adaptation and mitigation measures. It then describes the situation of Argentina’s debt in historical perspective up to the present and explains how the external debt has been determining the productive specialization of the national economy, which seeks to boost the country’s primary export capacity, particularly agribusiness, the fossil fuel sector, and open-pit metalliferous mining. It also analyzes the role of the IMF in Argentina as a catalytic actor in the climate crisis, describing the IMF’s centrality in the national economy, its economic-environmental policy on the production pattern that accelerates climate change, and the incidence of this phenomenon in Argentina.

Research on the Impact Mechanism of Knowledge Spillover on the Growth of Small and Medium-sized Sports Enterprises

Background and Aim: In recent years, knowledge spillovers and enterprise innovation have become key drivers of the rapid development of small and medium-sized sports enterprises (SMEs) in China. This study conducted a questionnaire survey of 405 employees from SMEs using the snowball sampling method. The study focuses on how knowledge spillovers affect the development of SMEs in the sports industry and verifies the intrinsic links between knowledge spillovers, product innovation, model innovation, learning organizations, and firm growth variables. Materials and Methods: The study utilized SPSS 26.0 and AMOS 26.0 software for EFA and CFA. Additionally, the research hypotheses were tested using structural equation modeling with AMOS 26.0 software. Results: 1) Knowledge spillover, product innovation, model innovation, and learning organization all significantly enhance firm growth. 2)Learning organization, product innovation, and model innovation in SME sports enterprises mediate the effect of knowledge spillover on firm growth. 3)Learning organizations and product innovation, learning organizations, and model innovation in SMEs' sports enterprises jointly mediate the impact of knowledge spillovers on firm growth. 4)The study's results provide an in-depth analysis of how knowledge spillovers affect the development of SMEs through direct and indirect paths. This enriches the theory of sports enterprise development and helps promote enterprise growth. Conclusion: 1) Knowledge spillovers from SMEs directly boost enterprise growth. 2)Knowledge spillovers from SMEs can also indirectly enhance enterprise growth through factors like product innovation, model innovation, and learning organization. 3)Knowledge spillovers can further indirectly facilitate enterprise growth by influencing factors like enterprise learning organization, product innovation, and model innovation.

Structural equations modeling for the entry into becoming a sport sponsorship of the halal product in Thailand

This research study aims 1) to create a structural equation model for sports sponsorship of halal products in Thailand and 2) to examine the direct and indirect influence of variables that are components of the structural equation model for halal products, specifically in the context of becoming a sports sponsorship for halal products in Thailand. The study focused on a sample group of Thai Muslims interested in watching and following the news and participating in Thai sporting events. The researcher chose a sample size of 400 participants from this population, excluding backup data gathering and data analysis, to ensure the questionnaire’s quality and dependability. The results of the data analysis from the structural equation model created show that it is consistent with empirical data. The results of the statistical hypothesis test reveal that the level of religious adherence and the level of awareness of entering into sponsorship have both direct and indirect influences on consumer attitudes and purchase intentions with statistical significance at 0.01. It can also be identified that if a sponsor increases awareness among Muslim viewers through branding or product presentations in events that feature halal symbols or indicate compliance with religious standards, it will lead to a more positive attitude and higher purchase intentions. This insight can be applied to marketing promotion in administrative regions or countries where the majority of the population is Muslim.

Advances in Loading Techniques and Quality by Design for Fused Deposition Modeling in Pharmaceutical Production: A Systematic Review

Advances in Loading Techniques and Quality by Design for Fused Deposition Modeling in Pharmaceutical Production: A Systematic Review

STATISTICAL INTEGRATION OF QGIS AND MULTI-CRITERIA DECISION ANALYSIS FOR SUSTAINABLE RURAL DEVELOPMENT IN BELSAR DEVELOPMENT BLOCK

The definition of “rural areas” varies significantly across regions, making the determination of rurality levels crucial for sustainable development and effective policy design. This study introduces a comprehensive rurality index to rank and categorize villages within the Belsar Development Block of Gonda District, India. Utilizing Multiple-criteria Decision-making Methods (MCDMs) such as Fuzzy Analytic Hierarchy Process (F-AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Weighted Product Model (WPM), and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), we developed a robust methodology for this assessment. A thorough sensitivity analysis was also conducted to ensure the reliability of the results. The study identified fourteen critical factors, grouped into five domains: (1) socioeconomic status, (2) education, (3) land use, (4) employment, and (5) healthcare. Based on these factors, villages were ranked and classified into four categories according to their rurality levels, and a detailed rurality map was created with QGIS. The study revealed that the modified F-AHP emerged as the most effective MCDM method for this rurality assessment. Given the systematic execution of this assessment, it can serve as a model for comparative studies in other regions of India and globally, promoting sustainable rural development through informed decision-making.

A novel MR remote collaborative assembly system using reconstructed attribute-enhanced product models

A novel MR remote collaborative assembly system using reconstructed attribute-enhanced product models

Dynamic pricing and inventory model for perishable products with reference price and reference quality

Reference price (quality) is a benchmark point used by consumers to make price (quality) judgements. Combining reference price and reference quality with dynamic pricing and inventory management, this paper applies differential equations theory to construct a optimal control model for perishable products when the quality of products declines exponentially. The demand of products depends on price, quality, reference price and reference quality, among which reference price and reference quality are influenced by consumers’ past memory. The aim is to maximize the retailer’s profit during the period. The conclusions are as follows. Firstly, a optimal dynamic pricing and inventory model for perishable products with reference price and reference quality is constructed, and the model is extended to dual decision variables, stochastic demand, time-dependent effects, competitive and infinite planing horizon setups. Secondly, through the Pontryagin maximum principle, the analytical expression of the optimal dynamic price is derived. Thirdly, a linear search method to solve the optimal static price is proposed. Finally, the sensitivity of the main parameters is analyzed and the corresponding management enlightenments are given. By comparison of dynamic and static pricing, we find that dynamic pricing can achieve more profits and take a shorter selling period. In addition, for the sales problem of perishable products affected by both reference price and reference quality, retailers should adopt skimming pricing strategy (the optimal price decreases with time). Furthermore, to obtain more profit, retails should strive to increase the sensitivity coefficients of two types of reference, and the reference quality memory coefficient, while to decrease the reference price memory coefficient.

Lost in the Shuffle: Testing Power in the Presence of Errorful Network Vertex Labels

Two-sample network hypothesis testing is an important inference task with applications across diverse fields such as medicine, neuroscience, and sociology. Many of these testing methodologies operate under the implicit assumption that the vertex correspondence across networks is a priori known. This assumption is often untrue, and the power of the subsequent test can degrade when there are misaligned/label-shuffled vertices across networks. This power loss due to shuffling is theoretically explored in the context of random dot product and stochastic block model networks for a pair of hypothesis tests based on Frobenius norm differences between estimated edge probability matrices or between adjacency matrices. The loss in testing power is further reinforced by numerous simulations and experiments, both in the stochastic block model and in the random dot product graph model, where the power loss across multiple recently proposed tests in the literature is considered. Lastly, the impact that shuffling can have in real-data testing is demonstrated in a pair of examples from neuroscience and from social network analysis.

Promoted formation of pyrazines by targeted precursor addition to improve aroma of thermally processed methionine-glucose Amadori compound.

The methionine/glucose (Met/Glc) and methionine/glucose-derived Amadori rearrangement product (MG-ARP) models were established to analyze their differences in flavor profiles and aroma potentiality. The principal component analysis revealed the advantage of MG-ARP in the formation of low temperature-induced processing flavor. MG-ARP exhibited superior potential in the rapid formation and high intensity of processed flavor than the Met/Glc except for the inefficiency in pyrazine production. The extra-added Glc tended to react with recovered Met to compete against α-dicarbonyl compounds to suppress the Strecker degradation and pyrazine formation. The additional Met effectively improved the precursor availability and facilitated the conversion of C6-α-dicarbonyl compounds to short-chained α-dicarbonyl compounds for pyrazine formation rather than their dehydration and cyclization to generate furans. The oxidation of Met favored the nonoxidative carbohydrate degradation leading to MGO formation and the aldolization of dihydropyrazines, which synergistically enriched the varieties of pyrazines, especially for the promoted formation of long-chain substituted pyrazines.

How online social community participation affect product stickiness: a study on green energy technology product

PurposeThis study aims to develop a conceptual model for GET products that participate in brands’ online communities, based on social cognitive theory (SCT), with environmental factors, personal factors and behavioral factors being used to explore whether users of GET products participate in brand online communities as well as to determine whether participation in a community forum causes users to stick with GET products. In addition, expectancy confirmation is also considered in the research model.Design/methodology/approachThis research examines whether environmental and personal factors have a positive effect on the behavioral factors of Gogoro users, and then further effects on green energy technology (GET) product stickiness for users in online communities. A website was used to distribute links to two Facebook club sites: Gogoro Series 2 Fan Club and the Gogoro Fan Club. The respondents’ qualification criteria were restricted to people who had used Gogoro products and participated in a Gogoro online community. A total of 581 valid responses were collected for structural equation modeling (SEM) analysis, and expectancy confirmation was found to be moderate from a hierarchical regression.FindingsThe results of SEM show that virtual interactivity has a positive effect on product-related content, and social norms were found to have significant effects on creating product-related content. Brand community identification, perceived relative advantage and brand knowledge self-efficacy are found to be related to both creating and contributing product-related content. Also, creating product-related content and contributing user participation behaviors influence ET product stickiness.Practical implicationsOnline community managers can boost user participation by increasing interaction, and community identification by enhancing users’ perceptions of benefiting from participating in their communities. Companies can also encourage users to create product-related content to increase users’ stickiness to GET products. Further, GET companies can try to enhance users’ intrinsic connection with other community users to increase their brand community identification if they want to increase users’ willingness to participate.Originality/valueThis study adopted SCT to measure the GET product stickiness formation process in an attempt to determine what factors boost user participation based on triadic reciprocality. Also, expectancy confirmation plays an important role in the relationship between community users’ participation behaviors and GET product stickiness. The results indicated that it was appropriate to add virtual interactivity to environmental factors and perceived relative advantage to personal factors to measure users’ participation in an online social community. Actual product users’ online community participation behavior could be a very influential indicator of actual product stickiness formation.

A productive pedagogy of liminality: a counterpoint to a limited performativity

ABSTRACT Education as a journey of human becoming involves commitment to one’s ethical life project as well as learning to live well and actively participate with others in an ever-changing socio-cultural, political and material world. This paradoxical journey is at the heart of our philosophical criticism of contemporary policy impulses to formulate risk averse pedagogies which centre on a product model of outcomes. We draw from philosophical perspectives of liminality and the Productive Pedagogy study from Australia to inform our position by indicating how students make sense of pedagogical experiences in unique, deeply personal, corporeal and limitlessness ways. We use Aquatics Education as a useful symbolic representation for the immersive, embodied and relational practices involved in human becoming; practices that we aver need to be acknowledged, while never fully defined. These practices require teachers’ localised autonomous judgements in evaluating risk for dilemmas encountered. Holistic experiences, provided by games with gravity, are consistent with such ‘aesthetic experiences’ for primacy of the subject/subjective. Our affirmative critique reveals how immersive experiences occupy a defensible position for our concept of a Productive Pedagogy of Liminality, which aims to open affordances for each student’s ethical life project by heightening subjective awareness between body and spirit.

Identifying At-Risk Factors of a College Course in Blended Mode and a Case Study

A framework was proposed to identify the at-risk factors of college courses in blended mode, offering suggestions for continuous improvement. An indicator system concerning teaching quality characteristics was constructed based on context, input, process, and product (CIPP) model. Subsequently, the group Analytic Hierarchy Process (AHP) algorithm was employed to assign weights to each indicator. Notably, the approach for assessing the consistency of the judgment matrix was improved, with a focus on preserving the initial judgments of the experts to the greatest extent. Finally, results were computed using a fuzzy comprehensive evaluation. Continuous improvements were suggested to enhance the teaching quality of the course and improve student learning outcomes. A typical case study was presented to illustrate the detailed process of the proposed framework. The evaluation results demonstrate its potential as a new tool for understanding blended teaching mode and enhancing learning outcomes across various college courses.

Understanding User Experience with Smart Home Products

ABSTRACT There has been a surge in the popularity of smart home products. Existing literature primarily focuses on the initial adoption of these products, with less attention given to the post-adoption stage. This has created a research gap in understanding user experience (UX) and the key dimensions of user satisfaction and dissatisfaction. This study aims to address this gap by examining both positive and negative user experiences with smart home products. Using robotic vacuum cleaners as a case study, we analyze key UX dimensions derived from their positive and negative reviews on Amazon.com that influence user satisfaction and dissatisfaction, respectively. Dimensions contributing to satisfaction include “functionality,” “smartness,” and “enhanced capacity (mopping feature).” In contrast, “insufficient smartness,” “poor customer service,” and “connectivity problems” are critical dimensions for user dissatisfaction. Notably, “smartness” serves as a double-edged sword, potentially leading to high satisfaction but also significant dissatisfaction if poorly implemented. Our analysis also includes a comparative examination of robotic vacuums with traditional vacuums, highlighting the different UX dimensions associated with each product type. Using fuzzy-set qualitative comparative analysis (fsQCA), we further examine the configurations of these UX dimensions that contribute to satisfaction and dissatisfaction. To generalize our findings, we applied our framework to smart thermostats and proposed a UX model for smart home products. Our findings not only fill the research gap in smart home literature but also offer valuable insights for practitioners in designing smart home products and developing marketing strategies. Our research method can be applied to understand user experience with various types of smart home products and other innovative technologies.

Evaluasi Program Bantuan Sosial Lansia Non Potensial di Kota Madiun dengan Model Context Input Process Product (CIPP)

The non-potential elderly social assistance program is Madiun City's flagship program for handling helpless elderly which is implemented on an ongoing basis, but has never been evaluated for its effectiveness. The aim of the research is to describe the results of the match between program achievements and the initial design and to determine the driving and inhibiting factors of the program. The research method is descriptive qualitative, with data collection techniques using observation, interviews and documentation. Evaluation uses the Context, Input, Process, and Product (CIPP) model. The results of the Context evaluation explain that the program objectives and target priorities are in line with community needs. Input shows that the instruments for implementing the program are incomplete. Process describes program implementation as less effective. The product shows that the program objectives have been achieved but have not been maximized. Meanwhile, factors driving the success of the program include the commitment of the Mayor of Madiun, fairly complete regulations, funding support, and community participation in implementing the program. Inhibiting factors include the limited number of implementing human resources, the lack of synergy between various parties, and the lack of an integrated system. The conclusion is that this program is still needed for the treatment of non-potential elderly, but program improvements need to be implemented immediately so that the goals are achieved more optimally.

Design of an Energy-Saving System for Smart Home Decoration Based on Situational Awareness

This article analyzes the specific energy-saving requirements for smart home decoration in the current market to determine the overall plan of the entire smart home decoration energy-saving system. Based on situational analysis combined with grounded theory, organize and summarize the original data, and use factor analysis for dimensionality reduction analysis. Combining the multi-level analysis method, experts evaluated and scored the user experience evaluation indicators, obtained the weight assignment of each influencing factor, and constructed a user experience evaluation model for smart home products based on situational theory. After extensive testing, it was found that the ZigBee based smart home network implemented in this article has low energy consumption, overcomes many shortcomings of smart home networks, and has high application value.

Mammalian Esterase Activity: Implications for Peptide Prodrugs.

As a traceless, bioreversible modification, the esterification of carboxyl groups in peptides and proteins has the potential to increase their clinical utility. An impediment is the lack of strategies to quantify esterase-catalyzed hydrolysis rates for esters in esterified biologics. We have developed a continuous Förster resonance energy transfer (FRET) assay for esterase activity based on a peptidic substrate and a protease, Glu-C, that cleaves a glutamyl peptide bond only if the glutamyl side chain is a free acid. Using pig liver esterase (PLE) and human carboxylesterases, we validated the assay with substrates containing simple esters (e.g., ethyl) and esters designed to be released by self-immolation upon quinone methide elimination. We found that simple esters were not cleaved by esterases, likely for steric reasons. To account for the relatively low rate of quinone methide elimination, we extended the mathematics of the traditional Michaelis-Menten model to conclude with a first-order intermediate decay step. By exploring two regimes of our substrate → intermediate → product (SIP) model, we evaluated the rate constants for the PLE-catalyzed cleavage of an ester on a glutamyl side chain (kcat/KM = 1.63 × 103 M-1 s-1) and subsequent spontaneous quinone methide elimination to regenerate the unmodified peptide (kI = 0.00325 s-1; t1/2 = 3.55 min). The detection of esterase activity was also feasible in the human intestinal S9 fraction. Our assay and SIP model increase the understanding of the release kinetics of esterified biologics and facilitate the rational design of efficacious peptide prodrugs.

Nonexistence of mean curvature flow solitons with polynomial volume growth immersed in certain semi-Riemannian warped products

Abstract Our purpose is to establish nonexistence results concerning complete noncompact mean curvature flow solitons with polynomial volume growth immersed in certain semi-Riemannian warped products, under mild constraints on the warping and soliton functions. Applications to self-shrinkers in the Euclidean space, as well as to mean curvature flow solitons in other important warped product models such as the Schwarzschild and Reissner-Nordström spaces, and Robertson-Walker spacetimes such as the Einstein-de Sitter spacetime, are also given. Furthermore, we study the nonexistence of entire solutions to the mean curvature flow equation. Our approach is based on a suitable conformal change of metric jointly with a maximum principle for complete noncompact Riemannian manifolds with polynomial volume growth due to Alías et al.

Amplified temperature sensitivity of extreme precipitation events following heat stress

This study investigates global extreme precipitation events (EPEs) during warm seasons, with a particular focus on EPEs preceded by extreme heat stress (EPE-Hs) and a comparative analysis with those not (EPE-NHs). Using reanalysis product and Earth System Model data, the spatiotemporal characteristics and temperature sensitivities of EPEs are analyzed. Results show that EPE-Hs, while less frequent, have longer duration and greater magnitude compared to EPE-NHs, particularly in high latitude regions. In the future, a significant increase is projected in the characteristics of EPE-Hs, in contrast to the stable duration and magnitude of EPE-NHs. EPE-Hs demonstrate substantially higher temperature sensitivity than EPE-NHs, especially in low latitudes. The precipitation-temperature scaling relationships diverge markedly between EPE-Hs and EPE-NHs, with notable regional variations. These insights are pivotal for crafting region-specific early warning and adaptation strategies to mitigate the risks associated with extreme precipitation under the backdrop of global warming.

Development of decision support methods for efficient maintenance of urban wastewater systems

The sanitation network is a vital urban infrastructure that requires systematic and co-ordinated activities and practices to realize lowest life cycle cost. The sustainable management of this asset is based on the efficient acquisition of diagnostic data from the sanitation network in order to analyze the defects of each section, then to assess their condition to prioritize and consider the effective mode of maintenance of sections deemed failing. In this perspective, knowledge of the sanitation networks is essential for reliable classification of defects and effective maintenance. A numerical model based on weighted criticality is developed to evaluate and prioritize the defects in an urban sanitation network. It is based on the combination of two methods: Fuzzy Analytic Hierarchy Process (F-AHP) and Weighted Product Model (WPM). A case study of a real sanitation network in Bejaia city (Algeria), consisting mainly of non-visitable pipes evaluated from television inspections, is used to illustrate and validate the proposed model. The results show that the weighting of criticality parameters has a considerable influence on the classification of defects in a sanitation network. The weighted criticality results obtained in the present case are significantly better than those obtained using a method based on the notion of classical criticality. This clearly indicates the relevance of the proposed numerical model.