Service Platform Research Articles

The impact of green innovation on the carbon performance of Chinese manufacturing enterprises: Moderating role of internal governance

With the increasing problems of global warming, ecological damage, and excessive consumption of resources, a greater number of countries are focusing on corporate carbon performance and carbon emissions. Enterprises can save energy and reduce emissions through green innovation, which will improve the efficiency of carbon use and contribute to higher levels of corporate carbon performance. Meanwhile, effective corporate governance can improve enterprise performance, while internal governance systems can affect enterprise carbon performance. This study aims to reveal how the green innovation affect carbon performance of enterprises and the role of internal governance. So this study utilizes the data of China's A-share listed manufacturing companies from 2010 to 2020 to examine the impact of green innovation on corporate carbon performance through a fixed-effects model, and to examine the impact of corporate internal governance structure on green innovation and carbon performance through a moderating-effects model. The data used in this study are mainly from China Securities Market and Accounting Research Database (CSMAR) and China Research Data Service Platform (CNRDS), and the robustness test is conducted by replacing the independent variables using the 2sls method. The findings indicate that green innovation has a significant contribution to enterprise performance on carbon. Ownership concentration and executive political connections negatively moderated the relationship between green innovation and carbon performance. Director compensation positively moderates the relationship between green innovation and carbon performance. This research provides a theoretical groundwork for future studies on green innovation and carbon performance, and its findings are instructive for both the introduction of government policies and the restructuring of internal corporate governance.

An effective secondary personalization file system driven by FileForge module

Digital service platforms provided by academic support departments in Macao assist academic staff and students in various areas such as registry, student affairs, academic activities, and research. As the number of undergraduate students increases and new departments are established, academic staff often face the challenge of dealing with paperwork that contains similar content but different formats. This situation results in redundancies and a waste of time. This paper presents our endeavors to simplify administrative procedures in higher education by automating restructured documentation and developing secondary file systems. The paper presents two case studies: Scenario One focuses on streamlining the publication system for academic staff who submit papers in different formats. At the same time, Scenario Two aims to simplify the daily paperwork process for academic staff. Both cases involve transforming the distribution of administrative documents, transitioning from a standardized form with guidelines to a customized form with concise tips. This approach allows academic staff to handle only the necessary information, which may not be available in the database or requires verification. The case studies serve to demonstrate the effectiveness of this administrative simplification.

MAAS- Monitoring as a Service through Payment Gateway

Abstract: This paper describes the creation of a cloud-based Monitoring as a Service (MaaS) platform designed specifically for thorough and safe payment gateway monitoring. Scalability, strong security, and real-time transaction insights are provided by the MaaS project through the use of the ELK Stack (Elasticsearch, Logstash, Kibana). Flexibility in monitoring modules allows for the smooth integration of the ELK Stack for effective analysis and display of vital payment gateway data. An interface that is easy to use enables operators to keep an eye on transactions and spot possible problems. Further integration with internal security and fraud detection tools is made easier by thoroughly described APIs. The goal of this MaaS platform is to improve oversight capabilities for crucial payment gateway operations by providing a consolidated, secure monitoring solution. Future development will involve adding machine learning for anomaly detection and extending data source support to cover other payment channels.

Perceived Enjoyment and Money Attitude on Intention to Subscribe of Streaming Service Platform: The Case from Makassar Region, Indonesia

The COVID pandemic, which broke out at the end of 2019, caused many changes in human life. Restrictions on access to entertainment and socializing activities have an impact on all aspects of life, but on the other hand, the business side of online streaming service platforms that show favorite movies and series benefits from this pandemic. The purpose of the study is to analyze the influence of perceived enjoyment and attitude toward money on intentions to subscribe to online streaming platforms. The study was conducted in Makassar, one of the metropolitan cities in Indonesia. The sample in this study was 151 people. Data was collected through a self-administered questionnaire, and the data then analyzed using PLS analytical tools. The results showed that perceived enjoyment and attitude toward money have a significant effect on the subscription intentions of online streaming platforms.

基于三螺旋理论的大学生就业创业困境的破解之

This article, grounded in the Triple Helix theory framework, systematically examines the significant challenges encountered by students at Qiqihar University in Heilongjiang Province during their employment and entrepreneurial endeavors, and offers appropriate solutions. The Triple Helix theory underscores the crucial interactive relationships between universities, industries, and government agencies, which are vital for promoting knowledge innovation and technological transformation. Through literature reviews and surveys, this article uncovers the various difficulties faced by students in employment and entrepreneurship, such as low entrepreneurial motivation, a disconnect between entrepreneurial and professional education, the ineffective functionality of entrepreneurial education practice bases, and a lack of external social support. To address these issues, it proposes strategies including enhancing innovative entrepreneurship course development, optimizing the entrepreneurship environment, strengthening service platform construction, and implementing fiscal and tax support policies. The article argues that through close collaboration among governments, universities, and businesses, significant breakthroughs can be achieved in alleviating the challenges faced by students in employment and entrepreneurship, thereby fostering healthy socio-economic development and providing valuable theoretical and practical insights for higher education institutions tackling similar issues.

E-Government Development: Catalysing Agile Governance Transformation in Indonesia

E-government is considered a crucial instrument for service transformation as it is believed to assist in achieving the government’s objectives by functioning as a flexible digital service platform for development. Nevertheless, our understanding of its potential impact on governance remains limited, particularly regarding the advancements made in digital-based services for the public sector inside government and the resulting level of public satisfaction. This study examines the crucial significance of e-government in the restructuring of agile governance in Indonesia. Qualitative research methods are employed for this research. Data related to the E-Government Development Index (EGDI) are collected through the United Nations website. After successfully retrieving the data and presenting it in a suitable format, the authors analysed Indonesia’s overall EGDI score and examined individual EGDI indicator levels. The findings show that the Indonesian government has accelerated the implementation of e-government, catalysing the digitalisation of governance and improving efficiency, transparency and public engagement. The report asserts that e-government can revolutionise governance in Indonesia, rendering it more agile and responsive. Nevertheless, a requirement remains to enhance and augment the e-government infrastructure and implement policies that foster digital inclusivity to bolster Indonesia’s governance capabilities. By bolstering e-governance, the government will enhance its efficacy in addressing forthcoming crises and augment citizen participation in policy formulation.

National educational platforms of China as an effective resource for international cooperation

The purpose of this article is to study the experience, characteristics and influence of China in the field of education in the context of digitalization, based on the international version of the National Platform for Public Services of “Smart Education” of China and the National Platform for “Smart Education”. The research materials describe the status of the creation of platforms, discuss the main content features of these platforms, including electronic learning resources, service projects, extensive support in six languages and many other functions. The presented material discusses the impact of digitalization on education in China. The authors try to justify the use of Chinese national platforms, as a certain resource for international cooperation, academic mobility of students and teachers. By studying the international version of China’s National Smart Education Public Service Platform and the National Smart Education Platform, we can gain a deeper understanding of China’s experience and characteristics in the digitalization of education, as well as its implications for the development of global education in the context of digitalization.

Agency Insights: The first steps of the DMA adventure

ABSTRACT This piece is a short essay on the first steps of the implementation of the Digital Markets Act. Our paper is divided in three sections. In the first section “Why does the DMA exist?”, we come back on the genesis of the DMA and the complementing role it plays with competition law. In the second section “Challenges of Gatekeeper Designations”, we look back at this first important step in the implementation of the DMA, and highlight that a key topic in the context of these designation proceedings has been the determination of the appropriate delineation of the core platform services to be designated. Finally, in the third section “Challenges of DMA compliance”, we set out our high-level vision and approach for the concrete implementation of the DMA by the gatekeepers and their endeavour to comply with the various obligations and prohibitions contained in the DMA. In this regard, we highlight that our aim with the DMA is to create room for opportunities.

Platform service decision and selling mode selection under different power structures

PurposeThis paper forms an e-commerce supply chain that include a manufacturer providing products and an online platform providing service. The reselling platform mode and the agent platform mode are considered through an exploration of the manufacturer Stackelberg (MS), vertical Nash (VN), platform Stackelberg (PS) power structures. The purpose of this paper is to explore the pricing and platform service decisions under different platform selling modes and channel power structures.Design/methodology/approachBased on the game theory models, this paper investigates the interaction between the manufacturer and the online platform under four different scenarios. The optimal solutions of four models are provided. Through comparison analyses, this paper evaluates the impacts of platform selling mode and channel power structure on the pricing and platform service decisions and the members’ profits.FindingsThe manufacturer prefers the MS power structure in any platform mode. The online platform prefers the PS (MS) power structure under a low (high) service cost efficiency in the reselling platform mode, while prefers the PS and VN power structures in the agent platform mode. Moreover, the manufacturer prefers the agent (reselling) platform mode under a low (high) service cost efficiency in any power structure. The online platform prefers the reselling platform mode in the MS and PS power structures, while prefers the reselling (agent) platform mode under a low (high) service cost efficiency in the VN power structures.Originality/valueThe analysis result provides important managerial implications that help the supply chain members develop a better understanding of the selection of the platform selling mode and the effect of the channel power structure in the presence of platform service.

A Deep Dive into the Trajectory and Transformation of Fintech in Colombia Through the Case of PTM Colombia – A Secondary Publication

This research focuses on analyzing and understanding the evolution and impact of fintech companies in Colombia, using PTM Colombia as a case study, a company that has undergone a significant transformation from its beginnings as a provider of physical recharges to its current position. as a comprehensive platform for digital financial services. The current research uses a qualitative descriptive approach and emphasizes understanding the perceptions and experiences in the field of Fintech in Colombia, particularly in the case of PTM Colombia. The study revealed that adaptability and customer orientation have been fundamental in the evolution of PTM, allowing the company to expand its range of services by actively listening to the needs of its users and adjusting its strategies accordingly. In addition, an accelerated and diversified growth of Fintech will be observed in Colombia, particularly in sectors such as credit and payments, driven by a constantly advancing technological environment and a regulatory framework that, although it presents challenges, also offers opportunities for financial innovation. This growth has impacted the traditional banking sector, which, instead of being replaced by Fintech, is finding new forms of collaboration and coexistence that benefit both parties and, above all, the end consumer. In conclusion, the study highlights how Fintech in Colombia, represented by cases such as PTM, is redefining the financial landscape through the adoption of advanced technologies, collaboration with traditional banking, and strong customer orientation.

Toward Digital Hospital Services: Developing an Integrated Model to Understand Patient Intentions for Utilizing Online Hospital Service Platforms

In view of the low user acceptance rate of online medical, this study aims to explores the factors affecting users’ intention to use online hospital service platform (OHP) based on the unified theory of acceptance and use of technology (UTAUT) and the health belief model (HBM). This study adopts a quantitative research method, collects 440 valid responses from Sichuan province by convenience sampling. The reliability and validity analysis are conducted by SPSS and AMOS, and the proposed research hypotheses are verified by structural equation model. The results uncovers facilitating condition, performance expectancy, effort expectancy, perceived susceptibility and perceived severity significantly positively affect users’ intention to use OHP. Furthermore, this study constructs a integrated model to encourage the users to accept the online hospital service platform, hence enhancing the accessibility and efficacy of healthcare services in a digital landscape.

Smart and Resilient Mobility Services Platform for Managing Traffic Disruptive Events

This article aims to develop a smart mobility solution to enhance the travel experience of individuals facing traffic disruptive events. Unlike prior research focusing on isolated solutions for managing these events, this study takes a holistic approach combining real-time monitoring, predictive modeling, route guidance, and effective communication to create efficient traffic disruption management. The study introduces the Smart and Resilient Mobility Services Platform (SRMS), specifically designed to address mobility restrictions as a form of disruptive events in the Palestinian territories, West Bank. SRMS empowers users to make well-informed decisions by providing services such as real-time mapping of mobility restrictions, a prompt notification system, informal route mapping, and alternative path suggestions. Moreover, it aims to enhance engagement among travelers and citizens by adopting spatial crowdsourcing as the primary data source for potential restrictions and embracing the User-Centered Design (UCD) approach to enrich users’ interaction with the developed solution. The methodology involves presenting the architectural layering system of the SRMS platform, and detailing the prototyping and design development considering the UCD approach. Results present the practical implementation of the SRMS tailored to the Palestinian context and adopted UCD.

IoV-6G+: A secure blockchain-based data collection and sharing framework for Internet of vehicles in 6G-assisted environment

The growing need for wide and ubiquitous accessibility to advanced Intelligent Transportation Systems (ITS) has led to the evolution of conventional Vehicle to Everything (V2X) paradigms into the Internet of Vehicles (IoVs). Next-generation IoVs establish seamless connections among humans, vehicles, Internet of Things (IoT) devices, and service platforms to enhance transit efficiency, road safety, and environmental conservation, with notable advancements in IoV technologies, specifically in secure data exchange and user privacy protection. Additionally, Unmanned Aerial Vehicles (UAVs) are envisioned as scalable and adaptable solutions for comprehensive IoV service coverage. The current approaches in IoV mainly concentrate on local infrastructure setups, overlooking the potential of infrastructure-less IoVs that lack extensive edge facilities. Also, the transmission of data over public channels by vehicles equipped with servers is susceptible to interception and tampering by malicious attackers. Moreover, the substantial amount of real-time data generated by vehicles, IoT devices, travelers, and social interactions pose a significant strain on servers as well as latency issues. To address these security concerns, this research suggests a secure-lightweight data collection and sharing framework for 6G-assisted smart transportation using blockchain and UAV, called IoV-6G+. The process entails drones collecting information and transmitting it to dedicated edge servers that securely aggregate the information and generate transactions on a cloud server. A cloud server securely collects data from edge servers, creates transactions, combines them into blocks, and then confirms and adds these blocks to the blockchain through a voting-based consensus method in a peer-to-peer network of cloud servers. Additionally, the security analysis of our proposed IoV-6G+ is assessed using the “Informal and formal (i.e., Scyther Tool, and Real-or-Random (RoR) Model) methods”, showcasing its efficacy in delivering a secure and efficient authentication mechanism for IoV. Moreover, the proposed IoV-6G+ exhibits lower computational and communication costs as well as energy consumption, along with enhanced security features, when compared to existing authentication frameworks.

Agricultural Disaster Prevention System: Insights from Taiwan’s Adaptation Strategies

In response to the adverse effects of climate change-induced frequent extreme disasters on agricultural production and supply stability, this study develops a comprehensive agricultural disaster prevention system based on current adaptation strategies for mitigating agricultural meteorological disasters. The primary goal is to enhance disaster preparedness and recovery through three core platforms: a fine-scale weather forecast service system, a crop disaster early warning system, and an agricultural information service platform for disasters. The results show that every major agricultural production township in Taiwan now has dedicated agricultural weather stations and access to refined weather forecasts. Additionally, a disaster prevention calendar for 76 important crops is established, integrating cultivation management practices and critical disaster thresholds for different growth periods. Utilizing this calendar, the crop disaster early warning system can provide timely disaster-related information and pre-disaster prevention assistance to farmers through various information dissemination tools. As a disaster approaches, the agricultural information service platform for disasters provides updates on current crop growth conditions. This service not only pinpoints areas at higher risk of disasters and vulnerable crop types but also offers mitigation suggestions to prevent potential damage. Administrative efficiency is then improved with a response mechanism incorporating drones and image analysis for early disaster detection and rapid response. In summary, the collaborative efforts outlined in this study demonstrate a proactive approach to agricultural disaster prevention. By leveraging technological advancements and interdisciplinary cooperation, the aim is to safeguard agricultural livelihoods and ensure food security in the face of climate-induced challenges.

Charting the course of DMA’s private enforcement: unveiling the forum shopping challenge

ABSTRACT The Digital Markets Act (DMA) seeks to oversee major digital platforms – “gatekeepers,” and their core platform services, aiming to break down barriers to competition enforcement within digital realm. Despite the DMA's absence of explicit mention of private enforcement, its spirit is clearly embedded within the framework. Several EU Member States have actively encouraged private enforcement of the DMA within their legislative processes. Considering the individual initiatives by the EU Member States, this paper addresses a concern: how to secure uniformity and consistency in the private enforcement of the DMA across the EU? This challenge is exacerbated by the looming threat of forum shopping, wherein plaintiffs strategically select jurisdictions to gain perceived advantages. As a solution, this paper advocates for the adoption of harmonization measures that strike a delicate balance between legal diversity and ensuring diligent oversight within the framework of private enforcement under the DMA.

Analysis of Consumer Service Quality Factors Impacting on Online Shopping Based on Technology Acceptance Model: A Green Purchase Intent in China

The effect of different service quality factors on online shopping, specifically green purchase intention in China is examined in this work. By employing partial least squares structured equation modelling (PLS-SEM), the study assessed the data obtained from 159 respondents who filled out valid semi-structured questionnaires from the e-commerce company’s employees. Based on the TAM model, this study tested the consumer green purchase intentions where the factors involved were supply chain management, inventory management, supplier relationships, quality control, and return policies. All these aspects, the study established, increase customer satisfaction and the likelihood of buying the product. Customer satisfaction is a mediator that balances the association between e-commerce platform service quality and consumer buying behaviour. Similarly, the study findings revealed that supply chain management practices, inventory management, relationships with suppliers, quality management and return policies regarding green products were significant factors that affected green purchase intention. The study emphasizes the need to sustain high standards of service delivery to increase employees’ customers’ satisfaction and consumption cultures. Behavioural e-commerce and consumer research are both advanced by this study, and findings aimed at enhancing e-commerce service quality and encouraging environmentally friendly purchasing. However, the findings of the study cannot be generalized widely due to the regional context and the small sample size of the study, so it is imperative to conduct more extensive Studies that can support these findings.

Why to purchase health knowledge on online platforms? A two-phased SEM-ANN approach

ABSTRACT Previous research on online health knowledge payment has mainly focused on the health consultation context and knowledge contributors-related characteristics. However, less attention has been given to the roles of health knowledge itself and the underlying platforms. Based on the perceived value theory and S-O-R framework, this study investigated how health knowledge and platform characteristics influence consumers’ purchase intention. Through a survey of 432 Chinese respondents, we employed a multi-analytical approach, combining structural equation modelling (SEM) with artificial neural network (ANN) techniques. SEM results indicate that knowledge personalisation, platform information quality, and platform service quality positively influence both utilitarian and hedonic values, subsequently affecting purchase intention. Furthermore, our findings support the partial mediation role of perceived value. ANN results highlight platform information quality as the most influential stimulus factor. Our study broadens the research scope of online health knowledge payment and offers theoretical and practical insights for its further advancement.

Ensuring cybersecurity of FPGA as a service with the use of penetration testing of components

The subject of study in this article is modern penetration testing technologies, in which the test object is the implementation of a service based on a platform using Field Programmable Gate Array (FPGA) resources. The goal of this study is to improve modern methods of penetration testing of services provided by FPGA as a Service (FaaS) to find vulnerabilities for further fixing and increasing the level of services security and trust. Task: to analyze the technological capabilities for the development of FPGA as a Service; to analyze possible threats for FPGA as a Service platform; to analyze the structure of the FPGA as a Service platform and the peculiarities of attacks on it; to analyze options for using the penetration testing standard; to propose the classification of possible use of FPGA as a Service platform for solving of cybersecurity tasks; and to propose the sequence of critical components of ensuring of the cybersecurity of FPGA as a Service platform. The following results were obtained based on the tasks. The analysis of the capabilities of existing chips, FPGA accelerator cards, programming technologies, and the integrated environments of a leading company for creation of FPGA as a Service is performed. A study on the cybersecurity problems of FPGA as a Service platforms is conducted, and a set of components to ensure the cybersecurity of FPGA as a Service Platform is proposed. Modern cybersecurity threats of FPGA as a Service platforms are analyzed. A threat structure for FPGA as a Service is proposed. The possibility of applying a penetration testing standard to FPGA services is considered. Regular audits and penetration testing are crucial elements of a cybersecurity strategy and help maintain customer and user trust in FPGA services. Based on the analysis of the possible use of FPGA as a Service to solve cybersecurity tasks, a classification of five variants considering FPGA as an object and tool is proposed. The sequence of critical components of ensuring of the cybersecurity of FPGA as a Service platform is proposed to correspond to modern known threats. Complex activities, including the software updates, security monitoring, auditing, and penetration testing, based on security standards. Conclusions. The primary contribution and scientific novelty of the obtained results is the research into the possibilities of penetration testing for services, where the test object is a platform with access to FPGA. As in many other areas, ensuring the cybersecurity of FPGA as a Service platform is complex, and ignoring any component can lead to critical consequences. Applying only penetration testing is not enough; therefore, a comprehensive list of cybersecurity measures for FPGA as a Service platforms is provided, underlining the urgency and necessity of their implementation.

To allow or not to allow tipping: tipping strategy choice for service platforms under competition

To provide consumers with a channel to interact directly with service retailers, some service platforms have allowed consumers to incentivize service retailers for better service via tipping. There are pros and cons of allowing and not allowing tipping in terms of service levels and costs, which can affect consumer utility and platform profitability. By developing a game-theoretic model, we analyze the tipping strategy choices of platforms under competition. We find that when the service ability of service retailers is high, platforms with service retailer pricing should allow tipping, whereas for at least one platform with platform pricing, they should allow it only when the commission rate is also high. Interestingly, if consumers are concerned about service levels in addition to service prices during tipping, for platforms with platform pricing, only one platform should allow tipping when the service ability is medium. However, when the service ability is low or when the sensitiveness of the service level to tips exceeds the threshold, neither platform should allow tipping, regardless of pricing models. Finally, an all-win outcome for service platforms, service retailers, and consumers may be achieved only when platforms adopt different pricing models.

Learning Ground Displacement Signals Directly from InSAR-Wrapped Interferograms.

Monitoring ground displacements identifies potential geohazard risks early before they cause critical damage. Interferometric synthetic aperture radar (InSAR) is one of the techniques that can monitor these displacements with sub-millimeter accuracy. However, using the InSAR technique is challenging due to the need for high expertise, large data volumes, and other complexities. Accordingly, the development of an automated system to indicate ground displacements directly from the wrapped interferograms and coherence maps could be highly advantageous. Here, we compare different machine learning algorithms to evaluate the feasibility of achieving this objective. The inputs for the implemented machine learning models were pixels selected from the filtered-wrapped interferograms of Sentinel-1, using a coherence threshold. The outputs were the same pixels labeled as fast positive, positive, fast negative, negative, and undefined movements. These labels were assigned based on the velocity values of the measurement points located within the pixels. We used the Parallel Small Baseline Subset service of the European Space Agency's GeoHazards Exploitation Platform to create the necessary interferograms, coherence, and deformation velocity maps. Subsequently, we applied a high-pass filter to the wrapped interferograms to separate the displacement signal from the atmospheric errors. We successfully identified the patterns associated with slow and fast movements by discerning the unique distributions within the matrices representing each movement class. The experiments included three case studies (from Italy, Portugal, and the United States), noted for their high sensitivity to landslides. We found that the Cosine K-nearest neighbor model achieved the best test accuracy. It is important to note that the test sets were not merely hidden parts of the training set within the same region but also included adjacent areas. We further improved the performance with pseudo-labeling, an approach aimed at evaluating the generalizability and robustness of the trained model beyond its immediate training environment. The lowest test accuracy achieved by the implemented algorithm was 80.1%. Furthermore, we used ArcGIS Pro 3.3 to compare the ground truth with the predictions to visualize the results better. The comparison aimed to explore indications of displacements affecting the main roads in the studied area.