Industry Alliance Research Articles

RESEARCH ON THE FORMATION MECHANISM OF ENTREPRENEURIAL RESILIENCE OF CHINESE RURAL MAKERS FROM THE PERSPECTIVE OF SELF-LEADERSHIP

This study adopts a combination of theoretical research and empirical research methods. First, we designed a questionnaire based on a literature review, primarily using a Likert 5-point scale, which covered variables such as self-leadership, entrepreneurial resilience, entrepreneurial identity, flow experience, and government entrepreneurial support perception. The Rural Makers column group and the industry alliance assisted in the distribution of 587 questionnaires to the Chinese rural maker group, leading to the final collection of 427 valid questionnaires. We performed data analysis and hypothesis testing using statistical software such as SPSS26.0 and AMOS24.0. The results show that: (1) Self-leadership has a significant positive impact on the entrepreneurial resilience of rural makers. (2) Self-leadership indirectly promotes the formation of entrepreneurial resilience. (3) Entrepreneurial identity and flow experience have a positive impact on entrepreneurial resilience. (4) Perception of government support for entrepreneurship positively moderates the relationship between entrepreneurial identity and entrepreneurial resilience. These findings reveal the formation mechanism of entrepreneurial resilience among rural makers, provide theoretical guidance and practical inspiration for improving the entrepreneurial resilience of rural entrepreneurs and coping with entrepreneurial challenges, and also enrich the research results in the field of rural entrepreneurship.

Industrial Alliances for the Energy Transition: Harnessing Business Power in the Era of Geoeconomics

In a context of rising geoeconomic competition, the EU is embracing stronger industrial interventionism to address societal challenges and reduce external dependencies in strategic sectors. Developing this type of strategic industrial policy requires close government–firm relations. This article investigates whether and how the EU succeeds in articulating public–private collaboration in the pursuit of strategic goals by examining the role of the recently launched EU Industrial Alliances in clean energy technologies. We build on a “governed interdependence” (GI) approach to assess whether the Alliances resemble the embedded public–private networks that are common in states deploying strategic industrial policy. Our findings, obtained through desk research, surveys, and qualitative interviews, offer a mixed picture. On the one hand, in line with GI, the Industrial Alliances provide a novel, institutionalised venue for public–private collaboration, led by geostrategic objectives and contributing to reducing information gaps and fostering policy coordination. On the other hand, Industrial Alliances adhere less well to a GI system in their composition and structure, and in their loose articulation of risk-socialisation mechanisms.

Critical success factors of strategic alliance in the shipping industry

Critical success factors of strategic alliance in the shipping industry

Business models for enhanced solar photovoltaic (PV) adoption: Transforming customer interaction and engagement practices

Solar energy can play an important role in meeting global energy needs in a sustainable and environmentally friendly manner. However, despite solar energy’s accelerated growth in recent years, its level of diffusion is highly uneven when looked at on a global scale. The solar photovoltaic (PV) companies involved in the sales of PV systems are central to fostering diffusion. A company’s ability to devise and deliver value offerings that match customers’ needs is vital in encouraging the adoption of solar PV technology. The extent to which a company can address market needs and deliver value often depends on the business model it has adopted. The extant research has explored business models based on ownership structures, financing options, the effect of regulatory regimes and policies, industry practices, alliances, and business models for distributed generation and large-scale utility companies. However, the research to date, has mostly neglected the business models of solar companies involved in the sales and installation of solar PV. This qualitative study based on twenty semi-structured interviews contributes to the existing knowledge by exploring how sales and installation companies can enhance solar photovoltaic adoption by transforming customer interactions and engagement practices, which is a key element of a company’s business model. Companies’ ability to communicate value offerings and address consumer concerns is important in enhancing diffusion. The study highlights that transforming customer interaction and engagement practices can help companies broaden customer reach, improve the dissemination of information, reduce transaction costs and efficiently utilise market insights and trends.

Industrial alliances in the policy of industrial autonomy of the European Union

Industrial alliances in the policy of industrial autonomy of the European Union

The Amsterdam Approach: optimizing care and research

AbstractAlzheimer Center Amsterdam of Amsterdam UMC, the Netherlands, was founded in 2000. Research is embedded in the pan‐Amsterdam research institute Amsterdam Neuroscience. Alzheimer Center Amsterdam is part of the department of Neurology, and closely collaborates with many departments including Radiology & Nuclear Medicine, Clinical Chemistry, Clinical Genetics, Clinical Neurophysiology and Medical Psychology, as well as across campus for Basic Sciences. The Amsterdam Research Ecosystem furthermore involves the Industry Alliance Office, which facilitates collaborations with private partners. For conduct of clinical trials, we collaborate with Brain Research Center, an independent organization dedicated to execution of pharmaceutical trials.Alzheimer Center Amsterdam has a 15 person staff, including neurologists, epidemiologists and neuroscientists. We employ ∼100ft personnel, mostly PhD students, research assistants and postdocs, working on Alzheimer’s disease and other neurodegenerative diseases causing dementia.Our mission is to achieve personalized medicine, with a particular focus on early onset dementia. Research efforts focus on (1) finding the origin of disease, (2) diagnosis & prognosis, and (3) intervention & prevention. It is our vision that patient care and research should go in hand, to achieve the urgently needed breakthroughs. Together, all patients form the Amsterdam Dementia Cohort, to date counting over 7000 individuals.We also have a keen eye for societal outreach. All colleagues, from junior to senior, reach out to society, e.g. via lectures, blogs or (social) media. Our initiative “Alzheimersocks.nl” increases awareness, while also raising research funds. We accelerate brain research on a national level via hersenonderzoek.nl, an online platform to link Dutch citizens to brain researchers looking for participants. Hersenonderzoek.nl has been highly successful, with over 35,000 registrants, >80 studies serviced with >25.000 participants.Alzheimer Center Amsterdam is one of five Dutch Alzheimer Centers, closely working with Alzheimer Nederland. We have initiated the Dutch Memory Clinic Network, connecting the >80 Dutch memory clinics, to foster harmonization and pave the way for implementation of research results. We take the lead in (national) consortia because collaboration accelerates research. An example is the ABOARD project (www.aboard‐project.nl), which is a public‐private consortium of >30 partners, with the mission to work towards personalized medicine for AD.

Defense industrial policy in a changing international order: rethinking transatlantic burden-sharing

ABSTRACT Though it is a core function of a sovereign state, governments do not navigate defense policy free from outside influences and constraints. The provision of external security requires armed forces to be adequately equipped but the distribution of material resources - defense-industrial capacity – for such equipment is not even but rather concentrated in the international system. How do alliance politics and defense-industrial policy connect? Our contribution highlights the material resources for military alliance effectiveness and emphasizes a strategic view of the relationship between these material factors and alliance burden-sharing. The sudden surge in demand for materiel resulting from Russia’s invasion of Ukraine revealed the defense-industrial fault lines within the transatlantic alliance. We outline existing dependencies and interdependencies, identify trade-offs and connections between industrial policy and defense spending, and formulate policy recommendations based on our findings. Taking a political economy of security perspective, these recommendations are aimed at a better understanding of how industrial politics and alliance stability are intertwined. They suggest pathways to a new and more stable transatlantic defense-industrial bargain in an era of increased great power conflict.

Research on the impact of knowledge flow in the new energy vehicle industry alliance on technology commercialization

Research on the impact of knowledge flow in the new energy vehicle industry alliance on technology commercialization

Cybersecurity Strategies for Safeguarding Customer’s Data and Preventing Financial Fraud in the United States Financial Sectors

As the financial sectors in the United States deal with expanding cyberthreats and a rising danger of financial crime, cybersecurity has become a top priority. This paper examines the crucial cybersecurity techniques used by financial institutions to protect client information and counter the growing risk of financial fraud. It proves that understanding common fraud tactics used to defraud financial institutions and customers, putting fraud detection and prevention techniques like anomaly detection and machine learning into practice, and using transaction monitoring and anti-money laundering tactics to spot and stop fraudulent activity are all necessary for preventing financial fraud. The paper begins by reviewing the common cyber dangers affecting the financial industry and the strategies used by cybercriminals to circumvent security precautions and take advantage of weaknesses. After looking at potential risks, the paper highlights the importance of proactive cybersecurity measures and risk mitigation techniques. It highlights crucial components of cybersecurity frameworks, including strong data encryption, multifactor authentication, intrusion detection systems, and ongoing security monitoring. This paper also emphasizes the value of educating and training financial institution staff members to increase cybersecurity resilience. It underlines the significance of building a strong security culture, educating personnel about potential dangers, and encouraging responsible management of client data. The study also explores the advantages of financial organizations working together and exchanging threat knowledge. It examines industry alliances, information-sharing platforms, and public-private partnerships as crucial methods for group protection against cyber threats. This paper highlighted the significance of artificial intelligence and machine learning in cybersecurity domain. It demonstrates how these technologies improve cybersecurity systems' capabilities by spotting irregularities and potential attacks. It emphasizes the significance of taking a proactive and dynamic strategy to securing client information and maintaining faith in the United States’ financial sectors. Overall, this paper provides a thorough overview of cybersecurity tactics crucial for protecting consumer data and avoiding financial fraud in the financial sectors across the United States. By taking a vigilant, team-based, and technology-driven strategy, financial institutions may strengthen their cyber defenses, protect the data of their clients, and defend the integrity of the financial system.

The influence of regional Internet level on firms’ sustainable innovation

ABSTRACT Based on secondary data from 31 provinces, cities, autonomous regions, and high-tech manufacturing industry alliance innovation networks in China over 2011–2016, we use the comprehensive feasible generalised least squares method to explore the influence of regional Internet level (RIL) on firms’ sustainable innovation (FSI). We find that RIL has an inverted U-shaped relationship with FSI. The RIL has an inverted U-shaped relationship with knowledge flow. Knowledge flow is conducive to the FSI. Knowledge flow plays a mediation role in the inverted U-shaped relationship between the RIL and FSI. In addition, the above results hold in the sample of high-speed rails (HSR) opening, but only the positive relationship between knowledge flow and FSI is supported in the samples of HSR not opening. Our findings provide insightful guidance supported by theoretical underpinning and empirical evidence for different regions to plan and adjust their RIL and HSR rationally, and for high-tech manufacturing firms to use the RIL effectively to enhance knowledge flow and FSI, which has important theoretical and practical significance.

Research on the Development Trend and Prospect of the Pharmaceutical Industry under the Impact of COVID-19

The pharmaceutical industry has the function of ensuring people's livelihood and high technical barriers, provides drugs and medical devices, and accompany the people throughout the life process. The pharmaceutical industry, a high-tech sector, plays a significant role in reacting to public health emergencies and avoiding big unexpected diseases in addition to enhancing people's health levels. At the end of 2019, the sudden outbreak of COVID-19 occurred, and its influence continued to expand. It brought new opportunities and challenges to the global pharmaceutical industry. Since the COVID-19, the expanding demand has driven the steady growth of the pharmaceutical industry, powerful nations have led the world pharmaceutical development, new vaccine has become the global highlight. As for pharmaceutical industry to further development, there are several suggestions in this paper: make more basic researches and develop new technologies, pharmaceutical industry alliance seeking win-win cooperation, enhance the independent innovation research and development strength promote industry core competitiveness, follow the national policy guidance to strengthen the pharmaceutical industry financial support.

Alliance and network in maritime shipping industry

ABSTRACT This paper presents adiscussion of ways of designing atransport network by allied carriers for maritime shipping, specifically examining performance differences between hub–spoke (HS) and multiple-port-call (MPC) models. We explain, theoretically, the mechanisms of changing the liner shipping network configuration and the carrier alliances. The salient results indicate the following: (i) HS is more profitable for allied carriers than MPC is; (ii) allied carriers under HS, even if they deploy smaller ships, can have some margin to gain greater profits than under MPC. These findings imply that switching to HS from MPC can be accomplished not only by deploying mega-ships but also through business combinations such as alliances or mergers and acquisitions.

AI Carbon Footprint Management with Multi-Agent Participation: A Tripartite Evolutionary Game Analysis Based on a Case in China

AI is playing an important role in promoting sustainable development, but the carbon footprint caused by AI is scaling quickly and may partly offset the effort to reduce carbon emissions. However, recommendations for limiting the AI carbon footprint are lacking. In order to address this gap in the literature, this paper first constructs a tripartite evolutionary game model by taking governments, AI industry alliances, and consumers into consideration, and then exploring the impacts of key factors on these three players’ strategy selection based on the case of smart air conditioner consumption in China. The results show that the behavior of governments has an important influence on the behavior of AI industry alliances and consumers. The ideal consequence is that governments adopt an unregulated strategy, AI industry alliances adopt a green development strategy, and consumers adopt a green purchase strategy. Regulation by governments is indispensable for limiting the AI carbon footprint during an early stage but becomes dispensable when the system reaches an optimal state. Although a tendency toward green consumption, image benefit, regulatory cost, carbon price, and the subsidies given to consumers and AI industry alliances can largely influence the strategy selection of governments, governments are most sensitive to carbon prices and the subsidies given to consumers. AI industry alliances are not sensitive to subsidies, reputation improvement, and reputation loss but are most sensitive to carbon prices. Consumers are most sensitive to green consumption tendencies, self-satisfaction, and utility but are not sensitive to subsidies.

Building a decentralized industrial alliance with the information system empowered by blockchain

The traditional industrial chain consists of a group of entities that are familiar with each other, and the relationship between the entities is maintained by signing contracts. However, on the one hand, the inability to reach mutual trust between unfamiliar entities limits the collaboration of entities, and on the other hand, most of the profits in the industrial chain are grabbed by the dominant enterprises. In this paper, an information system for collaboration among business entities is developed based on blockchain, based on which a business model called Decentralized Industry Alliance (DIA) is proposed. Transactions and profit distribution in the DIA are executed by smart contracts, which enables unfamiliar entities to trust each other without relying on a third party. Any entity that voluntarily complies with the smart contracts automatically becomes a member of the DIA, thereby promoting the expansion of the industry scale. The smart contracts distribute profits according to each entity’s contribution to the alliance, so as to ensure the fairness of value distribution. A case about the alliance of elderly care industry is carried out, which shows that the DIA achieves rapid expansion on the premise of ensuring fairness. As a general business model in the web 3.0 era, the DIA can be referenced by other industries.

The Dynamics of Inter-firm Cooperation within Global Business

Inter-firm cooperation has been a long-established practice within the modern world of business. This paper, therefore, aims at examining this fact by tracking the dynamics of inter-firm cooperation in the past three centuries. The finding suggests that the purpose of strategic alliances among industries has altered after 1945. Industrial alliances prior to 1945 were motivated by increasing profits through market sharing, thus they operated like cartels. The cooperative capitalistic system was in question, nevertheless, when the idea of liberalism flourished after 1945. Major power such as the United States and its allies urged countries began to establish anti abuse of cooperation regulations and firms to start adopting competitive models of business. The inter-firm cooperation, in fact, did not diminish. Since the beginning of 1980s, there has been a trend for the re-emergence of the cooperative model of business between international firms. Unlike in the pre-World War II era, strategic alliance today has been established particularly within industries where innovation and technological development is crucial. Some factors have been identified as to shape this new development, including the governments’ permission, an increasing cost for research and development, the emergence new competitors across the globe, and the need for developing expertise.

Resilient Supply Chain Framework for Semiconductor Distribution and an Empirical Study of Demand Risk Inference

Supply chain uncertainty is high due to low information transparency in the upstream and downstream, long lead time for supply chain planning, short product life cycles, lengthy production cycle time, and continuous technology migration. The construction and innovation of the new program of supply the chain faces huge challenges. This study aims to propose a smart resilient supply chain framework with a decision-making schema through the plan-do-check-act management cycle. It can enhance supply chain resilience and strengthen industrial competitiveness. Moreover, an empirical study of demand forecast and risk inference for semiconductor distribution is conducted as a validation. Through demand pattern clustering and forecasting for historic customer order behaviors, the demand status of each customer is classified, and an optimal planning solution is released to support decision-making. The result has shown the practical viability of the proposed approach to drive collaborative efforts in enhancing demand risk management to improve supply chain resilience. The proposed forecast model performs better than all four benchmark models, and the revised recall of the proposed risk reference model shows high accuracy in all demand risk levels. As supply chain resilience is about to be reconstructed due to the industrial revolution, a government and industry alliance should follow the resilient supply chain blueprint to gradually make the manufacturing strategy a technology platform in the Industry 4.0 era.

Pb, Bi, and rare earth free X6R barium titanate–sodium niobate ceramics for high voltage capacitor applications

0.9Ba(Ti1−xMgx)O3−x-0.1NaNbO3 (BTNN-100xMg) solid solutions are investigated with a view to developing Bi, Pb, and rare earth free, high voltage multilayer ceramic capacitors. Mg doping on the B-site significantly reduced the electronic conductivity and resulted in ceramics that could withstand a pulsed unipolar field of >300 kV/cm (Emax) to give a recoverable energy density of 3.4 J/cm3 at 82.6% efficiency for x = 0.01. The high Emax is accompanied by a high dielectric permittivity (ε′ ∼ 1700 at room temperature) with temperature-stable dielectric permittivity of Δε/ε298K ≤ ±15% and loss tangent tan δ < 0.02 from 116 to 378 K, corresponding to an X6R designation in the Electronic Industry Alliance codes.

Micro-foundations of dynamic capabilities to facilitate university technology transfer.

Within the university-industry ecosystem, improvement and innovation of technology transfer involve implementing appropriate dynamic capabilities. To answer the question-What are the micro-foundations of dynamic capabilities in university technology transfer?-this study investigates in-depth organizational-level dynamic capabilities in transferring university-based knowledge to business and society. Two qualitative case studies were deployed at organizational entities at Vrije Universiteit Amsterdam: the Industry Alliance Office, and the Demonstrator Lab. These two organizations stimulate science- and business-oriented university technology transfer. In this context, the micro-foundations of the dynamic capabilities "sensing", "seizing" and "reconfiguring" are identified and discussed. For "sensing", which is the university's ability to explore the opportunities in the ecosystem, the micro-foundations are "selecting internal competency" and "sensing external partners". For "seizing", which supports universities in managing complementarity with industry and society, micro-foundations include "resource co-allocation" and "collaborative business model". The micro-foundations of "reconfiguring", through which universities maintain evolutionary fitness in the innovation ecosystem, are "strategic renewal", "establishing a university technology transfer-friendly environment", and "asset orchestration". This study provides researchers with a better understanding of how dynamic capabilities facilitate university technology transfer. Industrial practitioners and policymakers can consider the suggestions of the present study when pursuing collaboration with universities.

How do university–industry alliances respond to the trust crisis in green technology innovation activities?

PurposeWith the evolution of the turbulent environment constantly triggering the emergence of a trust crisis between organizations, how can university–industry (U–I) alliances respond to the trust crisis when conducting green technology innovation (GTI) activities? This paper aims to address this issue.Design/methodology/approachThe authors examined the process of trust crisis damage, including trust first suffering instantaneous impair as well as subsequently indirectly affecting GTI level, and ultimately hurting the profitability of green innovations. In this paper, a piecewise deterministic dynamic model is deployed to portray the trust and the GTI levels in GTI activities of U–I alliances.FindingsThe authors analyze the equilibrium results under decentralized and centralized decision-making modes to obtain the following conclusions: Trust levels are affected by a combination of hazard and damage (short and long term) rates, shifting from steady growth to decline in the presence of low hazard and damage rates. However, the GTI level has been growing steadily. It is essential to consider factors such as the hazard rate, the damage rate in the short and long terms, and the change in marginal profit in determining whether to pursue an efficiency- or recovery-friendly strategy in the face of a trust crisis. The authors found that two approaches can mitigate trust crisis losses: implementing a centralized decision-making mode (i.e. shared governance) and reducing pre-crisis trust-building investments. This study offers several insights for businesses and academics to respond to a trust crisis.Research limitations/implicationsThe present research can be extended in several directions. Instead of distinguishing attribution of trust crisis, the authors use hazard rate, short- and long-term damage rates and change in marginal profitability to distinguish the scale of trust crises. Future scholars can further add an attribution approach to enrich the classification of trust crises. Moreover, the authors only consider trust crises because of unexpected events in a turbulent environment; in fact, a trust crisis may also be a plateauing process, yet the authors do not study this situation.Practical implicationsFirst, the authors explore what factors affect the level of trust and the level of GTI when a trust crisis occurs. Second, the authors provide guidelines on how businesses and academics can coordinate their trust-building and GTI efforts when faced with a trust crisis in a turbulent environment.Originality/valueFirst, the interaction between psychology and innovation management is explored in this paper. Although empirical studies have shown that trust in U–I alliances is related to innovation performance, and scholars have developed differential game models to portray the GTI process, building a differential game model to explore such an interaction is still scarce. Second, the authors incorporate inter-organizational trust level into the GTI level in university–industry collaboration, applying differential equations to portray the trust building and GTI processes, respectively, to reveal the importance of trust in CTI activities. Third, the authors establish a piecewise deterministic dynamic game model wherein the impact of crisis shocks is not equal to zero, which is inconsistent with most previous studies of Brownian motion.

Power Battery Recycling Mode and Decision-making Model for New Energy Vehicles Under the Background of Dual Carbon

Recycling and cascade utilization of waste power batteries for new energy vehicles is an effective measure to manage carbon emissions in the power battery industry chain and achieve the dual carbon target. In view of the current confusion of recycling channels and the unclear benefits and costs of the recycling market, the article constructs three recycling modes: self-operated recycling mode, industry alliance recycling mode and third-party enterprise recycling mode. With profit maximization as the decision-making goal, a recycling profit function model is established, and through the comparative analysis of profits of different recycling modes, the relationship and influencing factors between them are obtained, which can provide reference for enterprises to make recycling decisions.