Industry Alliance Research Articles

Метод оценивания квантовой устойчивости блокчейн-платформ

Abstract Purpose of work is the development of a new method for estimating the quantum resilience of modern blockchain platforms based on the effective solution of cryptanalysis problems for asymmetric encryption schemes (RSA, El-Gamal) and digital signature (DSA, ECDSA or RSA-PSS), based on computationally difficult problems of factorization and discrete logarithm. Research method is the use of quantum algorithms providing exponential gain (eg Shor’s algorithm) and quadratic gain (eg Grover’s algorithm). Due to the fact that the class of problems solved by quantum algorithms in polynomial time cannot yet be significantly expanded, more attention is paid to cryptanalysis based on the quantum Shor algorithm and other polynomial algorithms. Results of the study include a classification of well-known algorithms and software packages for cryptanalysis of asymmetric encryption schemes (RSA, El-Gamal) and digital signature (DSA, ECDSA or RSA-PSS) based on computationally difficult problems of factorization and discrete logarithm has been built. A promising method for solving problems of cryptanalysis of asymmetric encryption schemes (RSA, ElGamal) and digital signature (DSA, ECDSA or RSA-PSS) of known blockchain platforms in polynomial time in a quantum computing model is proposed. Algorithms for solving problems of quantum cryptanalysis of two-key cryptography schemes of known blockchain platforms in polynomial time are developed, taking into account the security of the discrete algorithm (DLP) and the discrete elliptic curve algorithm (ECDLP). A structural and functional diagram of the software package for quantum cryptanalysis of modern blockchain platforms “Kvant-K”, adapted to work in a hybrid computing environment of the IBM Q quantum computer (20 and 100 qubits) and the IBM BladeCenter (2022) supercomputer, has been designed. A methodology has been developed for using the “Kvant-K” software package to assess the quantum stability of blockchain platforms: InnoChain (Innopolis University), Waves Enterprise (Waves, Vostok), Hyperledger Fabric (Linux, IBM), Corda Enterprise, Bitfury Exonum, Blockchain Industrial Alliance, Exonum (Bitfury CIS), NodesPlus (b41), Masterchain (Sberbank), Microsoft Azure Blockchain, Enterprise Ethereum Alliance, etc. Practical relevance: The developed new solution for computationally difficult problems of factorization and discrete logarithm, given over finite commutative (and non-commutative) associative algebras, in a quantum model of computing in polynomial time. It is essential that the obtained scientific results formed the basis for the development of the corresponding software and hardware complex “Kvant-K”, which was tested in a hybrid computing environment (quantum computer IBM Q (20 and 100 qubits) and/or 5th generation supercomputer: IBM BladeCenter (2022), RCS based on FPGA Virtex UltraScale (2020), RFNC-VNIIEF (2022) and SKIF P-0.5 (2021). An appropriate method for estimating the quantum stability of these blockchain platforms based on the author’s models, methods and algorithms of quantum cryptanalysis has been developed and tested. Keywords: blockchain and distributed ledger technologies (DLT), SMART contracts, blockchain security threat model, quantum security threat, cryptographic attacks, quantum cryptanalysis, quantum and post-quantum cryptography, quantum algorithms Shor, Grover and Simon algorithms, quantum Fourier transform, factorization and discrete logarithm problem, post-quantum cryptography, quantum resilience of blockchain platforms.

Towards a multidimensional performance measure for North-South industrial alliances

While the question of the success of alliances is a topic that is widely discussed in the literature, the definition of alliance performance and its measurement are still debatable. Previous research has shown that different measures are mostly global, unidimensional, or narrow in scope. However, the literature suggests that only an adequate combination of indicators should address the multidimensionality of alliance performance. Similarly, the validity of the underlying measures is still doubtful. This is more pronounced in the case of North-South industrial alliances, which have received little interest from researchers. This alliance involves companies from developed countries, in particular European or American ones, and firms from developing countries, such as those from North African countries. The study is intended, in the specific context of North-South alliances, to question the alliance performance concept and to evaluate the construct validity of the measures that define it. A second-order alliance performance construct, measured by financial performance, efficiency, learning and reputation, is then proposed. An empirical investigation was conducted among 136 Tunisian companies in the industrial sector. These companies were engaged in alliances with European and American firms. The validity of performance measures is assessed through reliability, convergent validity, and discriminant tests. The results show that the proposed indicators are valid measures corresponding to different and complementary dimensions. The findings obtained can help alliance managers with a toolkit for evaluating alliance success and recommendations for its operation. The research also contributes to the empirical validation of a second-order alliance performance construct, a result considered as original in a Tunisian context.

Research on strategic partner selection under industrial agglomeration

<p>The selection of excellent partners for enterprises is crucial to the establishment and operation of industrial agglomeration enterprise alliances. It is not only related to the creation of new market values, the reduction of cost of cooperative enterprises, but also directly affects the efficiency of enterprise alliances. This study analyzes the theory of enterprise cooperation under industrial agglomeration, and establishes the index system, selection method and scientific rational selection process of strategic partner selection under this foundation and background<span style="font-family: 'Times New Roman';">, </span>to provide theoretical guidance for enterprises to choose the best strategic partners for industrial agglomeration.</p>

Blue Pencil


 
 
 This article aims at analyzing and discussing the proposed objectives and outcomes of a transmedia project that was run in partnership with CICANT/Universidade Lusófona, in Lisbon, Portugal, and the Portuguese media group Impresa, as part of a European Commission-funded project named CIAKL-Cinema and Industry Alliance for Knowledge and Learning. The Blue Pencil project had as its main objective the development of a transmedia narrative that grouped different platforms and technologies, which included intersections inside the narrative within the genres of entertainment and education. Taking as its central theme the censorship in Portugal during the Estado Novo, the narrative extends into a short fiction film, a documentary, a site with archive material, an online game that challenges writing on freedom of the press, an online store, and a school program, in partnership with the network of school libraries, to launch the debate of censorship in schools.
 
 

Research on the Prewarning Model of Relationship Risk Levels in Industry Collaborative Innovation Alliances across Provinces in China

The governments need beforehand to perceive the innovative relationship risk because they are one of the innovation subjects in those industry collaborative innovation alliances. However, it is difficult for innovation subjects to quantify the risks for industry collaborative innovation alliances due to the complexity, nonlinear, and dynamic condition. This paper firstly constructs an ordered logistic model, uses the following as independent variables: the collaborative degree, the ratio of science technology expenditure to GDP, the ratio of education expenditure to GDP, the ratio of finances to GDP, and uses the levels of risk as the dependent variable. Then, this paper uses the panel data of 30 provinces in China (Hainan is not included) from 2010 to 2018 to fit the model. Based on the fitting results, the research has gained the relationship risk prewarning model in industry collaborative innovation alliances by using the collaborative degree as an independent variable. The governments at all levels can use this relationship risk prewarning model to percept risk levels and reckon the corresponding probability which exists in industry collaborative innovation alliances. Furthermore, there are regional influences existing in the prewarning relationship risk levels in industry collaborative alliances. The east and middle areas have significant regional influence, but it does not exist among west areas and others. The governments at all levels may consider the regional differences.

Framework of the Smart Finance and Accounting Management Model under the Artificial Intelligence Perspective

With the establishment of modern enterprise systems and the emergence of some large-scale enterprise groups formed through asset reorganization, industry alliances, and cross-industry mergers, new requirements have been put forward for the financial management mode of enterprise groups. This article mainly studies the development of the smart accounting management model architecture under the artificial intelligence perspective. On the accounting sharing service platform, the accounting sharing center does not belong to the logistics branch of any region. Through the accounting sharing center, it provides unified and standardized accounting, asset management, currency revenue and expenditure, etc., for the branches of the logistics company. At the same time, in the network environment, the financial and accounting sharing platform is not unilaterally closed. As each branch under unified management, it has the power to feedback, suggest, and supervise the financial and accounting sharing platform. When testing, one only needs to focus on the external properties of the program, without considering the internal logical structure and internal characteristics of the program at all. The system under test is regarded as a sealed black box, and the boundary value analysis method, the equivalence class division method, and causality are used. Technical methods such as the graph method and error speculation method are tested at the system interface to detect whether the function of each test can receive and output the results correctly. The implementation of the accounting management model of accounting shared services must ensure that the evaluation results of related work are objective and accurate. It is necessary to ensure that the evaluation index system has a high degree of quantification. In the specific scoring, the full score system can be used to score points by experts to ensure the objectivity of the evaluation results and accuracy while improving the operability and enforceability of the evaluation work. The average value of the operating net profit margin is 0.088731, and the median value is 0.082263. The results show that artificial intelligence technology has greatly promoted the development of the smart accounting management model architecture.

Hazard Analysis of Traditional Post-Harvest Operation Methods and the Loss Reduction Effect Based on Five Time (5T) Management: The Case of Rice in Jilin Province, China

Traditional post-harvest operation methods applied in rice fields lack advanced management knowledge and technology, which has led to post-harvest losses. We proposed the concept of Five Time (5T) management for the first time. 5T management divides the whole life cycle of rice into different growth time interval to complete process management. This paper mainly introduces the management of rice grain period, that is, the post-harvest management period, including the operation process management of harvesting, field stacking, drying, warehousing, and storing. In 2019, our research team formulated the 5T management method, which considers the entire post-harvest process, and carried out a pilot application of this method at the Jilin Rice Industry Alliance of Jilin Province. Moreover, to promote the 5T management method, our research team carried out follow-up experiments in rice production enterprises and found severe post-harvest rice losses. This paper combined a large number of literature and the basic theory research of rice post-harvest to analyze the traditional methods for post-harvest processing and the associated rice losses. By implementing the 5T management method, 4.33% of losses incurred during the T1 harvesting period could be recovered. In the T2 field period, drying rice within 48 h after harvesting could reduce losses by 2.5%. In the T3 drying period, the loss rate could be reduced by 1.6% if traditional drying methods were replaced by mechanical drying and by 0.6% if cyclic drying was implemented to prevent over-drying. In the T5 storage period, the loss rate of 7% could be reduced by adopting advanced grain storage technologies such as low-temperature storage. Overall, the rice loss rate could be reduced by 15.43%, which is equivalent to a yield of 32.68 million tonnes of rice. The important factors in each period are strictly controlled in the 5T management method to prevent the post-harvest losses caused by flawed concepts and improper management and to increase the amount of usable fertile land.

Exploring Critical Success Factors of Competence-Based Synergy in Strategic Alliances: The Renault–Nissan–Mitsubishi Strategic Alliance

This paper aims to unbundle the antecedents of competence-based synergy in the strategic alliance formation process by employing the ARCTIC framework. The current research provides a new empirical application of the ARCTIC framework to reveal the success factors of reciprocal synergies of the Renault–Nissan–Mitsubishi strategic alliance in the automotive industry. By taking a resource-based view on the sources of competitive advantage, the current paper contributes to theoretical and practical issues of global strategic alliances as part of the existing literature on strategic management, international business, and corporate finance. By bridging qualitative and quantitative research methods, the paper provides validity to the ARCTIC framework with an application of the real option valuation. A conceptual model of research helps practitioners and scholars to explore critical success factors of alliance formation and to predict a competence-based synergy of strategic alliances. Future research may explore the institutional context of strategic alliances, specifically, exploring the impact of the French and Japanese governments on the Renault–Nissan–Mitsubishi alliance’s synergies.

Influence of project alliance in rail construction industry

Project alliancing (PA) as an interactive contracting mechanism is arguably an archetype of modern-day contracting. Well-designed PA emphasises the notion of shared goals and objectives, including detailed understanding and recognition of risks and reward while recognising specialist contribution by parties. However, PA has significant influence on organisational culture and cultural theory, hence reflecting the effect of culture on performance. This research study aims to determine the influence of PA on organisational culture and project performance, using the UK rail industry as a case study. A quantitative methodological approach was employed with quantitative data collection through questionnaires from 56 respondents (25 clients’ and 31 contractors’ all working in the rail industry), on a case study of an on-going alliancing project. The questionnaire results were analysed using the mode as the central tendency approach and focusing on the values that occurred most. The results from the research validated findings from the reviews while highlighting other fundamental factors underpinning the success(es) of PA in project management. This study is beneficial in improving the fragmented nature of the construction industry while positioning team building and collaborative working in the core of construction project management.

Preface

The 2021 International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA 2021) was planned to be held on June 18-20, 2021 in Nanchang, China. Due to the impact of COVID-19, many communities from all over the world were under strict health measures and strict travel restrictions, and participants of 2021 International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA 2021) also meet with the difficulty of travel restrictions. For communities, if our conference was not held in a virtual form, it would add huge work on traffic system, Exit-Entry system, medical system, etc., which is quite a serious issue, to actively respond to the call of the government, to strengthen the protection work, to effectively reduce people gathering and prevent COVID-19, considering the situation that most of the authors would like to publish their articles and make academic communications as scheduled, AIITA 2021 was held online instead of postponing the conference. It was a challenge, not only to the organizers, but also to the participants who were delivering their speeches using videoconference tools, under different time zones.AIITA 2021 was hosted by Jiangxi Province Robot Industry Alliance, organized by AEIC Academic Exchange Information Center. AIITA 2021 is to bring together innovative academics and industrial experts in the field of Artificial Intelligence and Industrial Technology Applications to a common forum. The primary goal of the conference is to promote research and developmental activities in Artificial Intelligence and Industrial Technology Applications and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world.The conference brings together about 80 leading researchers, engineers and scientists in the domain of interest from different countries. The conference model was divided into two parts, including keynote presentations and online discussion. In the first part, each keynote speakers were allocated 30 minutes to present their talks via Zoom. After the keynote talks, all participants joined in a WeChat communication group to discuss more about the talks and presentations.We were greatly honor to have invited two distinguished experts as our keynote speakers. Prof. Philippe Fournier-Viger, from Harbin Institute of Technology, China was the first one to perform a thought-provoking speech. His Research interests: Data Mining, Big Data, Artificial Intelligence, Pattern Mining, Itemset Mining, Graph Mining, Sequence Prediction. Another keynote speaker, Assoc. Prof. Md. Shohel Sayeed, from Multimedia University, Malaysia. He had outstanding research in Biometrics, Image and Signal Processing, Data Mining, Artificial Intelligence, Cloud Computing and soft computing. Their insightful speeches had triggered heated discussion in the second session of the conference. The WeChat discussion lasted for about 30 minutes. Every participant praised this conference for disseminating useful and insightful knowledge.We were glad to share with you that we received lots of submissions from the conference and we selected a bunch of high-quality papers and compiled them into the proceedings after rigorously reviewed them. These papers feature following topics but are not limited to: Artificial intelligence, Intelligent manufacturing, Automation and other relevant directions. All the papers have been through rigorous review and process to meet the requirements of International publication standard.We would like to thank the organization staff, the members of the program committees and reviewers. They have worked very hard in reviewing papers and making valuable suggestions for the authors to improve their work. We also would like to express our gratitude to the external reviewers, for providing extra help in the review process, and the authors for contributing their research result to the conference.Lastly, we would like to warmly thank all the authors who, with their presentations and papers, generously contributed to the lively exchange of scientific information that is so vital to the endurance of scientific conferences of this kind.Committee of AIITA 2021List of Committee member are available in the pdf

Development of the antenna adjustable power coupler for 325 MHz superconducting cavities

In this paper, we present the multi-physics design and high-power tests of a fundamental power coupler for superconducting cavities. The fabricated power coupler was a coaxial capacitive-type coupler based on a conventional 318-inch Electronic Industries Alliance 50-Ω coaxial transmission line with a titanium nitride (TiN)-coated single ceramic window. The coupler had three diagnostic ports for vacuum, arc, and electron pick-ups to monitor radio frequency (RF) breakdowns. To reduce the thermal load required to reach the cryogenic temperature, the thermal intercepts were located at 4.5 K and 40 K for liquid helium use and at 4.5 K and 77 K for liquid helium and nitrogen use. A transition box for adjusting the antenna penetration depth and matching impedance was designed. A high-power test was performed with a 20 kW and 325 MHz solid-state power amplifier. The power coupler was connected to a rectangular test cavity with high vacuum and various measuring equipment, such as an arc detector, a power meter, and an electron pick-up probe. The interlock system under vacuum and arc instrumentations prevented the RF window from breaking the power coupler window during the high-power test. We conducted high-power tests for more than 12 h at 12 kW in a 325 MHz continuous wave mode to verify the performance of the designed power coupler.

Research on the cooperation model between railway company and express delivery company based on the transaction cost perspective

The cooperation between railway company and express delivery company in China is in its initial stage and the cooperation model is immature. This paper studied the key factors influencing the cooperation model between railway company and express delivery company based on the transaction cost perspective and analyzed the model decision among them under different circumstances through a choice model. In this paper, three factors are extracted in the end, including the specific asset, the organizational structure of railway industry and the quantity of business participants. When there is a requirement of specific assets investment, express delivery companies prefer to build the industrial alliance instead of the contract model to reduce the opportunism risk and increase the cooperation benefit. While express delivery company will adopt the quasi-integration strategy only when the savings of transaction cost or the extra benefit of this model is big enough, especially bigger than the sum of investment of transport facilities and the operating cost. When the organizational structure of railway industry is integration, the transaction cost of contract model is bigger. The equilibrium of the cooperation model between railway company and express delivery company is to adopt the industrial alliance model.

A Novel Development Scheme of Mobility as a Service: Can It Provide a Sustainable Environment for China?

Mobility as a service (MaaS), a new concept of transportation, is regarded as an effective solution to prevalent urban traffic problems because of its sustainable development properties such as sharing, integration, humanism and low-carbon. However, progress from pilots to large-scale implementation has hitherto been slow especially in China. In this paper, we propose a new alliance-based framework of development scenarios for the Chinese MaaS system. At the same time, by distinguishing the experience and lessons between the UbiGo project in Sweden and Whim project in Finland, we summarize that the key to the success of prior pilot projects is the cooperation of industry alliance, government policy support, and data sharing mechanism. Moreover, this paper also proposes some MaaS solutions for the obstacles of alliance-based cooperation, data resource sharing, business model selection, operation conditions, development path, policy support and other aspects in China.

Sustainability certification as marketisation: Rainforest Alliance in the Sri Lankan tea production industry

ABSTRACT Unsustainable production is a root cause of numerous social and ecological problems. Whilst sustainability certifications face criticism for exacerbating greenwashing, comparative studies have identified improvements in social and ecological outcomes on certified farms. In this paper, we investigate the process by which a sustainability certification can enable a production industry to move beyond mere greenwashing. We conceptualise sustainability certification as a process of marketisation, organising economic activities within a production industry in ways that can enable new forms of thought and action. To examine this marketisation process, we study the case of Rainforest Alliance certification in the Sri Lankan tea production industry. We draw on an extensive six-month period of fieldwork, involving 74 semi-structured interviews with people working across the industry. We find that accounting devices deployed in this marketisation process create new visibilities within the industry to distinguish sustainability-certified tea as a marketable economic good, to equip producers to become economic agents capable of participating in markets for sustainability-certified tea, and to construct an economic exchange connecting supplies from certified tea estates with demands from ethically minded consumers. Our findings contribute to research on accounting for sustainable development, shedding light on the process by which, despite ongoing concerns regarding greenwashing, sustainability certifications can bring about positive impacts on social and ecological outcomes.

Evaluating of the Promotion of Strategic Alliance of Medical Devices Industry with Data Envelopment Analysis

Applying Data Envelopment Analysis to evaluate efficiency in this study, representative enterprises, in major Medical devices industry production areas of Kaohsiung city, with cooperation with institutional consumers are studied. The research results are summarized as below. according to DEA, 1 DMU presents strong Medical devices industry strategic alliance efficiency, 4 DMUs show the Medical devices industry strategic alliance efficiency between 0.9 and 1, and 5 DMUs reveal the Medical devices industry strategic alliance efficiency lower than 0.9. 2. Sensitivity analysis is utilized for analyzing and finding out key factors in Medical devices industry strategic alliance, and the sensitivity to efficiency is understood by gradually removing inputs and outputs for DEA. According to the results to propose suggestions, it is expected to provide actual assistance for Medical devices industry strategic alliance and reinforce the cooperation between corporate groups and institutional consumers through intra-industry alliance and horizontal alliance.

Alliance Governance Mechanisms in the Face of Disruption

Existing academic literature has discussed contracts and relational governance as the key mechanisms that help alliance partners address problems of cooperation and coordination. However, when an alliance undergoes disruption, the nature and extent of such problems may change and therefore the value of these mechanisms may change. This study advances a dynamic perspective on alliance governance by examining the impact of disruption and subsequent adjustment on the value of alliance governance mechanisms. To this end, we longitudinally studied a revelatory case of a research and development alliance in the veterinary drug industry that experienced disruption triggered by an internal restructuring at one of the partner companies. We approached the evidence with a fine-grained typology that builds on two dimensions that underlie governance mechanisms: the means to enforce their ruling principles (contractual versus relational) and the level of codification of these principles (formal versus informal). Based on our findings, we (1) show the significance of this revised typology, which suggests that contractual governance is not necessarily formal and relational governance is not necessarily informal; (2) provide a more systematic discussion of the tradeoffs that the various mechanisms entail and how these are altered through disruption and adjustment dynamics; and (3) analyze how the interplay between different types of governance mechanisms evolves following disruption and adjustment. Overall, our study brings the concept of disruption to the dynamic perspective of alliance governance and highlights the contingent value of alliance governance mechanisms.

CIN and Boero – a new alliance in the coatings industry

CIN and Boero – a new alliance in the coatings industry

Research on the impact of new energy automobile industry alliance development status on technological innovation

With the increasing pressure on the ecological environment, the continuous progress of science and technology and the government’s policy support for the new energy industry, the development momentum of China’s new energy automobile industry is strong. However, the emerging industry still faces major obstacles in terms of technological innovation, standard-setting and marketization. In the face of these obstacles, industrial alliances, as an organizational form, have been widely used in the new energy vehicle industry in order to seek the risk sharing and cooperation effect of alliances. In this paper, on the basis of identifying the members of China’s new energy automobile industry alliance and based on the classification theory of industrial alliance, China’s new energy automobile industry alliance is divided into horizontal alliance and vertical alliance. In addition, this paper adopts the method of case study to put forward reasonable suggestions for the shortcomings existing in the development status of China’s new energy vehicle industry alliance, so as to promote the technological innovation of the industry alliance.

Taking It With You: Platform Barriers to Entry and the Limits of Data Portability

Policymakers are faced with a vexing problem: how to increase competition in a tech sector dominated by a few giants. One answer proposed and adopted by regulators in the United States and abroad is to require large platforms to allow consumers to move their data from one platform to another, an approach known as data portability. Facebook, Google, Apple, and other major tech companies have enthusiastically supported data portability through their own technical and political initiatives. Today, data portability has taken hold as one of the go-to solutions to address the tech industry’s competition concerns. This Article argues that despite the regulatory and industry alliance around data portability, today’s public and private data portability efforts are unlikely to meaningfully improve competition. This is because current portability efforts focus solely on mitigating switching costs, ignoring other barriers to entry that may preclude new platforms from entering the market. The technical implementations of data portability encouraged by existing regulation—namely one-off exports and API interoperability—address switching costs but not the barriers of network effects, unique data access, and economies of scale. This Article proposes a new approach to better alleviate these other barriers called collective portability, which would allow groups of users to coordinate to transfer data they share to a new platform, all at once. Although not a panacea, collective portability would provide a meaningful alternative to existing approaches while avoiding both the privacy/competitive utility trade off of one-off exports and the hard-to regulate power dynamics of APIs.

Research on incentive mechanism of benefit distribution in collaborative innovation of industry alliance

In order to improve the performance of alliance collaborative innovation and stimulate members' willingness and behavior to participate in collaborative innovation, this paper puts forward the incentive mechanism of benefit distribution. This paper divides the needs of members to participate in collaborative innovation into two stages: "risk avoidance-return on investment". Firstly, an effective benefit distribution model is established by using Logistic function. Then, by building a game model, we can get the best effort. The results show that building the benefit distribution model of alliance collaborative innovation according to the different needs of alliance members can fully stimulate members to participate in collaborative innovation and improve the performance of alliance collaborative innovation.