Technology Companies Research Articles

PROTECTING MALAYSIA'S TECHNOLOGICAL AUTONOMY: INNOVATIVE GOVERNANCE FRAMEWORKS TO COUNTER DIGITAL HEGEMONIES

This study investigates the manifestations and impacts of digital colonialism in Malaysia and proposes legal and regulatory reforms to safeguard the nation's digital sovereignty. Digital colonialism, characterized by the exploitation of data, digital infrastructure, and online platforms by powerful technology companies from the Global North, poses significant challenges to Malaysia's economic, social, cultural, and political fabric. Through a qualitative methodology combining theoretical analysis, case studies, and comparative policy research, the study finds that digital colonialism in Malaysia takes the form of economic domination by foreign technology giants, imperial control and surveillance capitalism, technological dependency, and the erosion of cultural identity in the digital sphere. The existing legal framework, including the Personal Data Protection Act 2010, Communications and Multimedia Act 1998, and Competition Act 2010, proves inadequate in addressing these challenges. Drawing lessons from the regulatory approaches of other Global South nations like India and Indonesia, the study recommends a comprehensive reform strategy encompassing the strengthening of data protection and privacy laws, regulating dominance in the digital market, promoting indigenous innovation capacities, fostering digital literacy, and forging strategic regional coalitions. By adopting a proactive and context-sensitive approach to digital governance, Malaysia can effectively assert its technological sovereignty and foster an inclusive digital economy that serves its national interests and citizenry.

The Promoting Effect of Strategic Alliance on Enterprise Internationalization: Case Analysis and Empirical Study

This study discusses how strategic alliances can promote the internationalization of enterprises, focusing on their role in market entry, resource integration and competitive advantage promotion. Enterprises face many challenges in the process of globalization, including barriers to market entry, restrictions on technology access and the difficulty of supply chain coordination. As an important internationalization strategy, strategic alliance can help enterprises break through these obstacles and realize the optimal allocation of resources and improve their competitiveness. This paper selects the strategic cooperation between Huawei and Vodafone as a typical case to analyze in-depth its cooperation results in technology research and development, market expansion and supply chain synergy. Huawei As the world's leading communications technology company, the cooperation with European telecom giant Vodafone covers 5G network construction, application promotion of the Internet of Things (IoT), and cloud computing service optimization. The alliance has not only boosted Huawei's deep presence in the European market, but also boosted Vodafone's innovation and competitiveness in emerging technologies. Case study shows that the strategic alliance plays a key role in the process of promoting the internationalization of enterprises, and can effectively reduce the market entry barriers, accelerate the integration of enterprise resources, and enhance the competitive advantage in the international market. In addition, based on the theory of enterprise internationalization, this paper conducts regression analysis and structural equation model (SEM) test on the data of 200 international enterprises, which further verifies the role of strategic alliance in promoting the internationalization performance of enterprises. The research results show that: (1) strategic alliance can significantly improve the overseas market share and international income growth rate; (2) technical cooperation and supply chain collaboration play an intermediary role between alliance and internationalization performance; (3) the intensity of market competition can regulate the relationship between strategic alliance and internationalization performance, that is, the greater the competition, the more obvious the strategic alliance promotes internationalization. This study not only enriches the theoretical system of enterprise internationalization, but also provides practical guidance for the strategic layout of enterprises in the global market. At the same time, the research results also have some enlightenment for the government policy formulation, and it is suggested that policy makers provide support for enterprises to establish transnational strategic alliances, and promote scientific and technological cooperation and market opening.

Is improvisation a mediating link driving knowledge management processes towards innovativeness in Indian IT firms?

Purpose This study aims to examine the mediating influence of organisational improvisation (OI) in the relationship between knowledge management (KM) processes and innovativeness. It explores the role of sharing, creating, acquiring and storing knowledge in managing uncertainties through developing improvisation capability. In addition, it examines whether KM–improvisation relationship contributes to higher innovativeness in information technology (IT) companies in India. Design/methodology/approach This study derived a conceptual framework based on a critical review of literature. The data were collected from 231 employees using an online questionnaire from listed Indian IT services and consulting companies. The data reliability, validity and biases were checked, and hypotheses were tested using path analysis in structural equation modelling using software such as SPSS and AMOS. Findings All KM processes, except acquisition, had a positive and significant relationship with innovativeness and OI. OI was positively related to innovativeness. Mediation results show that OI mediated the relationship between knowledge sharing–creation, knowledge base and innovativeness. OI did not mediate between knowledge acquisition and innovativeness. The results indicate that sharing, creating and storing knowledge builds an organisation’s ability to improvise and innovate in a dynamic environment. Research limitations/implications A cross-sectional design limits its ability to derive a cause-effect relationship. Survey methods are prone to common method bias. Future studies can adopt a longitudinal approach with objective measures. Moreover, the impact of pertinent factors, such as experimentative culture; HR practices that reward and support improvisational behaviour and exposure to organisational routines/culture can be evaluated. Practical implications This study suggests that implementing KM processes of sharing, creating and storing knowledge are crucial to build improvisation and innovation capabilities to sustain in volatile market, and enhance employee innovative work performance and creativity, while gaining external knowledge is not beneficial in the moment of improvisation. Originality/value This study contributes to the literature being one of the first empirical research connecting KM processes, improvisation and innovation. This study adds to the knowledge-based innovation literature by presenting improvisation as a mediating link between KM processes and organisational innovativeness. This study extends the understanding of how organisations can harness knowledge to innovate in uncertain times. It provides evidence regarding the role of KM processes and capabilities to improvise innovation in the context of an emerging economy.

The optimization of youth football training using deep learning and artificial intelligence

***This study aims to improve the effectiveness and outcomes of youth football training by utilizing advanced deep learning and artificial intelligence (AI) technologies. Firstly, the relevant dimensions of deep learning and key training techniques of deep learning convolutional neural networks (CNNs) are analyzed. Secondly, a key point detection model for youth football training is constructed based on deep learning CNNs. Lastly, interviews are conducted with five technology companies and thirty sports teachers to analyze the application scenarios of AI in campus football training. The results show that the difficulty of key point visibility in the youth football training key point detection model is not high, and the model can provide relatively accurate results. The model achieved an accuracy of over 90% in critical point prediction, with low prediction errors for key points related to foot placement and curve positioning, all of which remained below 15%. Both companies and schools consider policy, cognitive, attitude, and technological factors as key factors for applying AI in campus football. In addition, hardware facility factors and other related factors also have an impact on the application of AI in campus football. The research results have practical reference significance for the intelligent development of youth football training and can promote the high-quality development of youth football in China.

ANALYSIS OF THE IMPACT OF PERSONALIZED MARKETING STRATEGIES ON THE KEY FINANCIAL INDICATORS OF DOMESTIC ELECTRICAL ENGINEERING COMPANIES AND B2B CUSTOMER LOYALTY

This article analyzes the impact of personalized marketing strategies on the key financial indicators of domestic electrical engineering companies and the loyalty of B2B customers. The study emphasizes the significance of using models such as Customer Lifetime Value (CLV) and Customer Engagement Value (CEV) to evaluate the economic value of customers in the long term. The research highlights the role of personalized strategies in fostering emotional connections with clients, enhancing their satisfaction levels, and retaining loyal customers, thereby contributing to the sustainable growth of businesses. The study explores advanced approaches to customer base management, including the integration of CRM systems, predictive modeling, and customer segmentation. These tools and methods enable companies to identify behavioral patterns among B2B clients and adapt their marketing efforts to meet specific client needs more effectively. The analysis demonstrates that personalized marketing strategies optimize business processes, enhance sales efficiency, and strengthen competitive advantages. Particular attention is given to the integration of financial and non-financial metrics into adaptive marketing strategies. The combination of these metrics facilitates comprehensive customer evaluations and strategic decision-making aimed at maximizing customer profitability and engagement. By adopting such innovative approaches, electrical engineering companies can achieve higher levels of customer retention, expand their market presence, and create additional value for their clients. The findings of this study underscore the necessity of adapting marketing strategies to address the growing demands of B2B clients and the challenges posed by digital transformation. The integration of personalized strategies with advanced technologies allows companies to stay competitive and maintain sustainable business growth. The research provides a platform for further exploration of comprehensive customer value models, integrating financial indicators and behavioral metrics into adaptive marketing strategies that enhance organizational efficiency and long-term profitability.

Untangling Leader-Member Exchange and Employee Envy: An Empirical Investigation Within the Indian IT Sector

Within the framework of envy and its related consequences, this paper inspects the dynamics of superior-subordinate relationships, also known as Leader-member exchange, in the management literature. Based on the Leader-Member Exchange theory, we propose that employees lacking a strong camaraderie with their supervisors (low-quality LMX) will experience envy towards peers who enjoy a high-quality LMX with their supervisors. Subsequently, they will engage in uncivil behaviours and exhibit an "intention to quit." Hypotheses were tested using hierarchical regression on data obtained from two hundred and four software engineers in different Indian information technology (IT) companies. This study provides evidence in favour of all the suggested hypotheses and expands upon existing research on the subject by illustrating the adverse effects of envy in the workplace.

From intellectual capital to sustainability performance: an interventionist research approach to management control

Purpose This study aims to investigate the relationship between intellectual capital (IC) and sustainability in practice by developing and testing a management control tool to enhance sustainability through IC. The case tested is a publicly listed Italian information technology company. Design/methodology/approach Employing an interventionist research approach, the authors actively participated in a team tasked with designing a new IC reporting system. The methods of inquiry included in-depth interviews with project stakeholders and reviewing internal documents to offer a critical and performative analysis of IC practices in action. The resulting analysis led to the development of a new management control tool. Findings The management control tool developed in collaboration with the company not only significantly enhanced sustainability performance, it also fostered integrated thinking. Specifically, the tool helped to identify, measure and monitor firm-specific IC, including skills and competencies, knowledge and innovation, values, legitimacy, trust and reputation. Originality/value The findings contribute to the ongoing discourse on IC practices. Through new insights into the practical relationship between IC and sustainability, this paper affirms IC’s significance to businesses that want to improve their sustainability. The study also presents a methodical approach to integrating sustainability thinking into corporate practices, adding to the limited literature on how management control systems can promote corporate sustainability.

Requirements Culture in Industry: Contrasting Perspectives from a Startup and Global Company

Abstract This study explores the concept of requirements culture through a case study performed at two different engineering companies: a medical company startup and an international power tool corporation. We introduce and explain requirements culture and how it influences requirements management and relevant engineering design practice amongst company stakeholders. This study uses a qualitative data collection approach through semi-structured interviews with company leaders and relevant requirements stakeholders of various company roles. The findings suggest the presence of requirements culture within companies driven by their communication practices, documentation methods, and shared values. While practices observed were vastly different, there were nonetheless processes in place for managing requirements. Alongside variations in the level of rigor associated with requirements management, there were also observed differences terminology and documentation practices. Further, company values and engineers' behaviors toward external regulatory bodies, as well as the use of stage-gate models, were highlighted as significant influences on the requirements processes.

Big data analytics capability and sustainability in company innovation

Purpose The purpose of this study is to examine the importance of big data analytics capability (BDAC), knowledge management (KM), corporate sustainability strategy (CSS) and sustainability design (SD) variables that affect the innovation performance (IP) of companies in the information technology (IT) sector. Taking these variables into consideration, the authors aim to highlight the key factors necessary for the sustainability and success of companies in the IT sector. Design/methodology/approach As a result of this research, a model was developed and a quantitative analysis technique was adopted. By applying PLS- structural equation modeling, the data were analyzed in the SmartPLS 4.0 program and focused on the population of companies in the IT sector. Middle and senior managers working in these companies were reached. The main reason for choosing this sector is that the variables in the research model are very important in the IT sector. Findings The analysis results are supported by the hypotheses that BDAC, information management, CSS and SD have positive effects on the IP of companies in the IT sector. Research limitations/implications In terms of research limitations, data was collected by survey method from companies operating in the IT sector in Istanbul, ensuring that participation was voluntary. Because Istanbul is the most developed city in Turkey, and hence where IT companies are located, the sample population consists of companies in this city. It is recommended that future research should develop the research model, taking this limited situation into account and contributing to the literature by collecting data from companies in different sectors by using the comparison method. Practical implications To benefit from the potential of big data, it can be predicted that companies in the IT sector should strengthen their infrastructure, increase their performance by better managing their knowledge and experience, realize innovations by achieving sustainability goals and create an environmentally friendly image by increasing the sustainability of their products/services and thus become a company that gains an innovative competitive advantage. Considering these variables collectively can help companies in the IT sector to be more efficient and sustainable. Social implications Because the studies in the literature do not have sufficient empirical findings in examining the relationships between variables, companies are offered a limited perspective on how they should approach big data initiatives. Therefore, in addition to research conducted in different sectors and different types of companies, examining the impact of BDAC as independent variables and sustainability and KM as mediator variables in companies in the IT sector will contribute to the theory. Originality/value There are many studies examining the relationship between BDAC and information management. However, examining the mediation variable effect of sustainability, which is one of the three goals of businesses, together with these variables, is important in terms of contributing to the literature. Because we are in the age of digitalization, companies are now renewing and developing strategies for the future. We can see data science, innovation, information and sustainability as the most important concepts of these strategies. Therefore, this study uses original research that can be referenced for both academics and companies.

A Comprehensive Review on Recent Advances in Sustainable Agriculture

This article provides a detailed analysis of the Internet of Things' (IoT) use in agriculture, highlighting both its advantages and disadvantages. However, the Internet of Things (IoT) offers a great deal of promise to generate novel concepts that could progress modern agriculture and address many of the problems that farmers currently face. Smart irrigation, precision farming, crop and soil tracking, smart greenhouses, supply chain management, livestock monitoring, agricultural drones, disease and insect prevention, and farm equipment are some of the uses for IoT implementation in agriculture that this study takes into account. These innovative ideas have the potential to revolutionize farming practices, promote agricultural sustainability and production, reduce resource waste, and raise productivity. The study assesses the utility of each application and outlines the actions that need be made to improve its effectiveness. Important considerations include connectivity issues, cost control, data security and privacy, solution scaling, effective data management, and increasing knowledge and acceptance of IoT capabilities. Despite these challenges, IoT has a lot to offer the agriculture sector. The study highlights the importance of collaboration between farmers, IoT technology companies, academia, and government in order to address these issues and realize the full potential of IoT. This requires ongoing study, development, and adoption of IoT-driven solutions to keep agriculture viable as a substitute in the face of emerging problems like resource shortages and climate change.

Negotiating equitable metaleisure participation: developing a theoretical framework for Gen Z's constraint navigation in the metaverse

ABSTRACT This study explored the concept of “Metaleisure” – metaverse – and how Generation Z students negotiate constraints to equitably participate in these immersive digital activities. The researchers evaluated the “Metaprivilege” construct, which assesses an individual's access to and comfort with virtual reality (VR) devices. They conducted an experiment with 108 university students, having them use different VR headsets and recording their experiences through surveys. The findings reveal several factors influencing equitable Metaleisure participation. Having prior experience with VR devices is a key driver of choosing leisure activities like gaming over non-leisure uses. Interpersonal constraints from one's sharing networks that provide initial exposure are also crucial. Gender, socioeconomic status, and academic major impact the degree of Metaprivilege. The researchers proposed a “Metaleisure model” integrating the leisure constraints framework to understand barriers to participation. Recommendations include universities providing communal VR spaces for training, leisure professionals offering community device-sharing programs, and technology companies developing more affordable, accessible metaverse products. Overall, this study provides a novel framework for assessing digital equitability and facilitating inclusive Metaleisure engagement as immersive technologies become increasingly embedded in leisure experiences.

Digital markets: formative components, regulation, challenges and insights from the European Union Digital Markets Act

Purpose This study aims to examine digital markets, their formative components, regulation and challenges. It also presents a concise definition of “digital markets” and suggests a link between digital markets and digital financial inclusion. Design/methodology/approach This study adopts a conceptual discussion of digital markets, their formative components and regulation. Findings The study projects digital markets to be a game changer for society. It analyses the regulation of digital markets, particularly the recent European Union Digital Markets Act, and show that regulation focus mostly on large technological companies. The study also shows the benefits of digital market regulation for users of digital markets and the demerits for the large technological companies who own the world’s largest digital transactional platforms in digital markets. The criticisms of regulating large technological companies are also identified. Originality/value There has been very little policy or academic discussion or debate about the value of digital markets in the literature. Most debates in the literature focus on the large technological companies that operate in digital markets, but there are no discussions or debates in the literature about the value proposition of digital markets as a standalone concept.

Research on the management and control technology of pumped storage infrastructure based on big data model

AbstractDue to the characteristics of hydropower project construction, such as long construction period, many links, many participants and complex management, State Grid Corporation needs to enhance its ability to control the construction process by means of information technology. Under this background, a business evaluation method for hydropower project construction is designed and studied. Information is extracted from the supervision monthly report generated during the actual production and construction of the company, combined with domain knowledge and business experience, and according to the information extraction results, an evaluation model based on rules, classification and regression is designed. The company's hydropower project construction safety prediction, quality supervision, progress construction, technology and economic analysis of four aspects of evaluation.

About the legal regulation of generative artificial intelligence in China

The subject of the research is modern technologies of generative artificial intelligence (GII), their impact on society and law (using the example of China). The rapid development of GII is associated with the growth of venture capital investments and active support from large technology companies and states. Since 2022, China has adopted a number of laws on the regulation of artificial intelligence. At the same time, the PRC focuses on the unconditional protection of state security and national interests. An important aspect of AI regulation in China is the desire to form an AI bill that significantly expands the regulatory architecture. It is expected that the bill will be adopted during 2025, which will contribute to a more complete and detailed regulation of artificial intelligence. In the course of the research, the author used the following methods of cognition (research methodology): dialectical method of cognition, general scientific empirical methods of cognition (comparison and description), general scientific theoretical methods of cognition (generalization and abstraction, induction and deduction, analogy), as well as private scientific empirical methods of cognition (method of interpretation of legal norms) and private scientific theoretical methods cognition (legal and dogmatic). The main conclusions of the study are as follows. To date, the draft law on AI proposed by Chinese legal scholars is still under discussion, but it is already clear that it significantly complements and expands the already established architecture of legal regulation of artificial intelligence in the People's Republic of China. It contains a lot of bold ideas (for example, about the legal protection of data obtained as a result of the work of the GII). It seems that during 2025, the specified draft law (apparently with improvements) will be adopted. Based on the existence of regulatory legal acts that have already entered into force and are currently in force regarding artificial intelligence (including generative), as well as trends towards the rapid formation of the basic law on AI, it clearly follows that China is following the path of legal regulation of this area for general use within the PRC, while giving freedom of use and study AI for government purposes, in order to protect national interests.

Communication Efficient Secure Three-Party Computation Using Lookup Tables for RNN Inference

Many leading technology companies currently offer Machine Learning as a Service Platform, enabling developers and organizations to access the inference capabilities of pre-trained models via API calls. However, due to concerns over user data privacy, inter-enterprise competition, and legal and regulatory constraints, directly utilizing pre-trained models in the cloud for inference faces security challenges. In this paper, we propose communication-efficient secure three-party protocols for recurrent neural network (RNN) inference. First, we design novel three-party secret-sharing protocols for digit decomposition, B2A conversion, enabling efficient transformation of secret shares between Boolean and arithmetic rings. Then, we propose the lookup table-based secure three-party protocol. Unlike the intuitive way of directly looking up tables to obtain results, we compute the results by utilizing the inherent mathematical properties of binary lookup tables, and the communication complexity of the lookup table protocol is only related to the output bit width. We also design secure three-party protocols for key functions in the RNN, including matrix multiplication, sigmoid function, and Tanh function. Our protocol divides the computation into online and offline phase, and places most of the computations locally. The theoretical analysis shows that the communication round of our work was reduced from four rounds to one round. The experiment results show that compared with the current SOTA-SIRNN, the online communication overhead of sigmoid and tanh functions decreased by 80.39% and 79.94%, respectively.

PENGARUH KECURANGAN LAPORAN KEUANGAN, KINERJA KEUANGAN DAN SUSTAINABILITY DISCLOSURE TERHADAP NILAI PERUSAHAAN

This study aims to determine the impact of financial statement fraud, financial performance and sustainability disclosure on firm value. Using financial data from technology companies listed on the Indonesia Stock Exchange between 2020 and 2023, this study employs a panel data regression method. The results of this study are show that financial statement fraud has a negative impact on firm value, while financial performance proxied by profitability ratios and solvency ratios has a positive impact. However, financial performance proxied by liquidity as well as sustainability disclosure actually has a negative impact, which indicates that investors in Indonesia have not fully considered sustainability reports in firm value.

Evaluating Employee Onboarding Program in A Travel Technology Company

This study examines the effectiveness of PT's onboarding program. Fly Together amid rapid expansion in the APAC region. As a travel technology company, effective onboarding is essential to enable new hires to adapt quickly and achieve organizational goals. This study aims to evaluate the effectiveness of the onboarding program at PT. Flying Together in the Context of the Company's Rapid Expansion in the APAC Region The current practice, which involves many stakeholders such as line managers and HR, faces challenges including inconsistent execution, resource delays, and inadequate follow-up, raising concerns about program effectiveness. This study uses the Socialization Resources Theory (SRT) theory to analyze 17 dimensions of the onboarding program and their relationship with onboarding outcomes, including role clarity, self-efficacy, social integration, and cultural knowledge. The analysis showed that the average score of the onboarding results was 2.65, which indicates the program's ineffectiveness. Correlation analysis shows a strong relationship between onboarding dimensions, such as job resources and supervisor support, and key onboarding outcomes. The mixed research method combined quantitative data from 23 new hires and qualitative interviews with experts. Based on these findings, the study proposes actionable recommendations, including enhanced anticipatory socialization, a formalized friend system, and structured follow-up mechanisms. These upgrades address key gaps, allow new hires to integrate effectively, improve performance, and contribute to the company's success. The study underscores the critical role of well-structured onboarding in achieving employee satisfaction and organizational goals.

Buttressing the power of entity relationships model in database structure and information visualization: Insights from the Technology Association of Georgia’s Digital Health Ecosystem

The state of Georgia, with a population exceeding 10.7 million, is recognized for its robust economy, affordable living standards, and strong commitment to education. Ranked as the 11th fastest-growing state in the United States, Georgia is home to 18 Fortune® 500 and 32 Fortune® 1000 headquarters, housing some of the most innovative healthcare technology companies. As part of its mission to support economic growth and digital transformation, the Technology Association of Georgia (TAG), through its subsidiary, the TAG Digital Health Society, established the TAG Digital Health Ecosystem. This initiative serves as a centralized hub for digital health companies, fostering industry collaboration and innovation. However, the sheer volume of data required to maintain such a platform presents significant challenges in database structuring, data integrity, and information visibility. This study explores how the Entity-Relationship (ER) model can strengthen database structures and optimize information visualization for large-scale digital health platforms. By implementing an ER model, the TAG Digital Health Ecosystem ensures seamless data integration, efficient retrieval, and enhanced user experience for key stakeholders, including potential investors, healthcare providers, digital health companies, job seekers, and researchers. The ER model's ability to define clear relationships among entities enhances the system's navigability, reducing redundancy and improving data accessibility. Moreover, this research highlights best practices in ER modeling, emphasizing its role in improving decision-making, fostering industry partnerships, and supporting Georgia’s growing digital health sector. The findings underscore the importance of structured database frameworks in creating scalable and sustainable digital health infrastructures, ensuring long-term impact and usability.

Leveraging Model Master Files from a Technology Company Perspective: Facilitating Quantitative Medicine in Regulatory Frameworks.

Model Master Files (MMFs) offer a much needed approach to integrating computational modelling into drug development and regulatory frameworks, supporting the growth of quantitative medicine. By acting as confidential repositories for validated models, MMFs enable streamlined submissions, model reuse, and context-specific reviews while safeguarding intellectual property. For technology companies (such as software providers), MMFs provide a structured pathway to engage with the FDA, align innovations with regulatory standards, and expand the use of models across diverse applications. A challenge with the current framework is the need to provide the same validation and verification information to multiple drug companies each time the submit an application. With an MMF in place, drug companies can refer to this same document which the technology provider can add to over time. However, challenges persist, including limited direct interaction with the FDA outside (A)NDA submissions and the need for consistent model validation and version management. Addressing these issues through enhanced collaboration and clear guidelines will maximize the potential of MMFs, fostering broader adoption of modelling and simulation in drug development and advancing personalized medicine.

Comparative Evaluation of Share Values of Five Magnificent Technology Companies with Bitcoin and Gold Prices

Especially new generation investors may prefer to use stocks of popular companies that use advanced technologies and cryptocurrencies as investment instruments. Gold, one of the classical investment instruments, still maintains its place among the commodity assets in the portfolios of investors around the world. These asset groups were evaluated in this study. As the first group investment tool, decacorn and hectocorn technology companies called the new generation the magnificent five; Company stock returns of Apple, Microsoft, Amazon, Alphabet, Nvidia Corporation and Tesla were analyzed. In addition, as the second financial asset, cryptocurrencies, which are used as investment instruments as well as being used in daily life with the evolution of technology, and Bitcoin (BTC), which remains popular among these cryptocurrencies, were the subject of the study. Finally, the study evaluated gold mines, one of the world's oldest valuable investment instruments, compared with other financial assets. The study examined the magnificent five stocks, BTC and gold ounce prices between the periods of 2020:01 and 2023:12, using mutual cointegration, vector error correction (VEC) and Granger causality analyses. Findings of the study; Short-term shocks caused by variables in BTC stabilise after about a month. In this process, as NVDA shares increase, BTC value decreases, and as gold value increases, BTC value increases.