High-tech Companies Research Articles

Navigating diverse information environments on environmental sustainability: information practices of decision-makers in Finnish high-tech companies

Navigating diverse information environments on environmental sustainability: information practices of decision-makers in Finnish high-tech companies

An automated platform trial framework for A/B testing

This paper proposes a platform trial for conducting A/B tests with multiple arms and interim monitoring to investigate the impact of several factors on the expected sample size and probability of early stopping. We examined the performance of three stopping boundaries: O’Brien Fleming (OBF) stopping for either futility or difference (both), Pocock stopping for futility only, and fixed sample size design. We simulated twelve scenarios of different orders of arms based on various effect sizes, as well as considered 1 or 3 interim looks. The overall findings are summarizing in a flowchart to provide intuitive guidance for the design of the platform based on the simulation. We found that it is better to use OBF stopping for both if there is any effective variant and the trial is sufficiently powered to detect the expected effect size. If the study is underpowered to detect a difference, we recommend fixed sample size design to gather as much information as possible, however if the expected sample size is important to minimize, we recommend using Pocock boundaries with futility monitoring. Our results aimed at helping high-tech companies conduct their own studies without requiring extensive knowledge of clinical trial design and statistical methodology.

Emotional Intelligence and Workplace Spirituality in Predicting Career Success of High-Tech Leaders

In the highly competitive environment of the high-tech industry, leadership roles are often filled with numerous challenges and stressors. Success in the workforce requires a combination of high emotional intelligence and a connection to workplace spirituality. This study aimed to compare demographic differences among high-tech leaders regarding emotional intelligence, workplace spirituality, and career success. It also sought to examine the relationships and effects of emotional intelligence and workplace spirituality on career success, as well as the moderating role of workplace spirituality in these relationships. A survey was conducted with 139 leaders from various high-tech companies in Taiwan. The results showed that male leaders demonstrated higher levels of self-awareness and self-motivation in emotional intelligence, while leaders with higher education levels exhibited greater self-awareness and empathy. Additionally, both emotional intelligence and workplace spirituality were significant predictors of career success. Notably, workplace spirituality moderated the relationship between emotional intelligence and career success. The implications of this study highlight the importance of enhancing emotional intelligence and workplace spirituality to foster leaders’ career success and gain a competitive advantage in the high-tech industry.

An Analysis of Critical Factors Affecting the Success of Open Innovation Strategies in High-Tech Firms: The Case of South Korea

High-tech firms face constant innovation and challenges due to a rapidly changing tech environment. Open innovation strategies are an important solution for fostering rapid and efficient innovation by leveraging external capabilities. This study explores the critical factors that influence open innovation strategies in high-tech companies, assessing their importance and providing key insights for promoting these strategies. Through a comprehensive literature review and expert interviews, 16 key factors impacting open innovation were identified. A hierarchical research model was developed using the ser-M (subject, environment, resource, mechanism) framework, focusing on subject, environment, resource, and mechanism for a corporate strategy analysis. A survey and an AHP analysis were conducted with 30 participants, comprising engineers and open innovation experts, all with over a decade of experience in the field within Korean high-tech companies. The analysis focused on four critical elements: subject, environment, resource, and mechanism; subject emerged as the most critical factor for successfully implementing open innovation strategies. Specifically, the will of chief executives, the direction of decision-making, and technological environment changes were found to be significant contributors. The consensus between engineers and experts confirms that while environmental and resource factors are vital, strong leadership and effective decision-making are paramount for successful open innovation in high-tech companies.

Ethical Concerns Upon Artificial Intelligence Empowered Human Resource Management: A Qualitative Study among Middle-level Managers from Beijing Technology Companies

The evolution of artificial intelligence (AI) in organizational management has significantly enhanced operational efficiency. However, it has introduced ethical challenges in human resource management. Between January to March 2024, this study conducted 21 semi-structured interviews with middle-level managers from high-tech companies in Beijing. Through word frequency analysis, the study found that key topics among the managers were “company,” “data,” “system,” and “problem,” with “AI” frequently recurring in the discussions. Sentiment analysis revealed generally favorable attitudes toward AI in human resource management (AI-HRM), along with nuanced emotional expressions such as inquiry, introspection, recommendation, challenge, adaptation, resistance, and indifference. The sentiment distribution of keywords aligned with topic trends. Thematic analysis identified key ethical concerns in AI-HRM, including issues related to data collection and utilization, human versus machine decision-making, quantitative versus qualitative assessment methodologies, the balance between fairness and efficiency, the need for trustworthy, explainable, and transparent AI, and the oversight of AI-HRM. This study contributes to the ethical investigation of AI-HRM from the perspective of middle-level managers, highlighting themes that are critical for understanding the theory, application, and future development of AI-HRM.

The effect of knowledge acquisition from social media on competitive intelligence process: the mediating role of absorptive capacity

PurposeWhile existing literature offers valuable insights into social media knowledge, absorptive capacity, and competitive intelligence, it does not fully address the integrated activities involved in generating valuable knowledge. This study aims to address this gap by investigating how high-tech companies leverage knowledge acquired from social media, mediated through absorptive capacity, to generate valuable competitive intelligence.Design/methodology/approachA total of 270 valid responses were collected from high-tech company managers through an online survey. PROCESS Model 4, employing 5,000 bootstrap samples and 95% confidence intervals, was used to assess the constructs of interest. Using the Knowledge-Based View, this approach tested the mediating role of companies' absorptive capacity in the association between knowledge acquisition from social media and competitive intelligence processes.FindingsThe results indicate that knowledge acquisition from social media, both directly and indirectly (through absorptive capacity), positively influences competitive intelligence processes, including collection and analysis.Practical implicationsAcquiring knowledge from social media does not necessarily lead to superior intelligence in companies. This study helps managers focus on enhancing companies' absorptive capacity for more effective competitive intelligence processes.Originality/valueThis study investigates the role of absorptive capacity in terms of the connection between acquiring knowledge from social media and competitive intelligence. The findings have significant theoretical and managerial implications, providing valuable insights that could help high-tech company managers improve intelligence generation in their companies.

GEOGRAPHICAL STRUCTURE OF FOREIGN TRADE OF MONGOLIA: INTRACONTINENTALITY, BORDERCROSSES AND FEATURES OF LOGISTICS

Foreign trade is one of the phenomena most susceptible to the so-called spatial friction effect. This article provides an overview of the geographical structure of Mongolia’s exports and imports by remoteness zones, demonstrating the critical influence of its landlocked position. Examining the distribution of imports and exports, considering the degree of product processing, reveals that finished products have a more dispersed distribution across remoteness zones. In contrast, raw materials are primarily directed to the nearest zone. The article presents statistics on product transportability, understood as the price per unit weight, and its distribution by remoteness zones at border crossing points. It concludes that the most valuable cargo passes through border points with Russia, while raw materials with low transportability, primarily coal and copper, are transported through the Mongolian-Chinese points of Gashuunsukhait and Zamyn-Uud, mainly to the nearest zone. Field studies have revealed the specifics of logistics schemes for coal delivery to China from the Tavan Tolgoi deposit. These involve delivery by road trains or by rail in containers, which simplifies the transshipment process and mitigates the barrier factor of the difference in railway gauge between Mongolia and China. In the copper mining industry, Russia and Mongolia are entering into competition through the parallel development of their largest copper-gold reserves. To diversify Mongolia’s foreign trade and reduce its economic dependence on China, it is necessary to increase the processing of raw material exports into finished products, which can be achieved with the help of Russian high-tech companies.

Human-Centered AI to Improve Operation Research, Automation, and Decision-Making Processes for HighTech Corporations

In the modern world, AI has spread to almost every field that is incorporated with technology. As the quality of AI systems continues to improve drastically, their usage in companies that rely heavily on technology and media increases almost every day. In this research paper, theresearcher will focus on how human-centered AI affects operations research, automation, and decision-making processes in high-tech companies. This paper will examine and discuss different use cases from world-renowned corporations.

The Impact of Employee Stock Ownership Plans on Capital Structure Decisions: Evidence from China

The determination of the capital structure is a critical component of a company’s financial decision-making process. The question of how to optimize a firm’s capital structure to increase its value has been a significant topic of interest within the financial community. The employee stock ownership plan (ESOP) has developed rapidly in China’s capital market over the past decade, providing a suitable context for studying the impact of employee equity incentives on capital structure decisions. This paper employs cross-sectional ordinary least squares regression models and unbalanced panel fixed effect models to investigate the impact of employee stock ownership plans (ESOPs) on firms’ capital structure decisions. The analysis is conducted on a sample of Chinese A-share listed companies on the Shanghai and Shenzhen Stock Exchanges. The research considers both static capital structure choice and dynamic capital structure adjustment. We find that the implementation of an ESOP reduces the level of corporate debt and accelerates the dynamic adjustment of capital structure, suggesting that employee equity incentives play a role in optimizing firms’ capital structure decisions. We also find that the impact of ESOPs on the dynamic adjustment of capital structure is asymmetric. Specifically, the implementation of ESOPs markedly accelerates the downward adjustment of capital structure, yet has no impact on the upward adjustment of capital structure. Further analysis demonstrates that the impact of ESOPs on capital structure decisions is contingent upon the macroeconomic environment, industry characteristics, corporate governance, and ESOP contract designs. First, the optimization of ESOPs on capital structure decisions is more pronounced in an economic boom environment, in a poor market climate, or in competitive industries. Second, the reduction effect of ESOPs on corporate debt is more pronounced in non-state-owned companies, high-tech companies and those with lower ownership concentration. In contrast, the acceleration effect of ESOPs on capital structure adjustment is more pronounced in state-owned companies, non-high-tech companies and those with higher ownership concentration. Ultimately, ESOPs financed by loans from a firm’s major shareholders—or with a longer lock-up period, smaller shareholding size or executive subscription ratio—demonstrate a more pronounced optimization effect on capital structure decisions. This paper not only contributes to the existing literature on the relationship between equity incentives and capital structure decisions, but also provides guidance for listed companies on the reasonable design of their ESOPs and the optimization of their capital structure decisions.

Equity Structure and Business Innovation Performance: Evidence from Chinese High-Tech Companies

Equity Structure and Business Innovation Performance: Evidence from Chinese High-Tech Companies

AI assistant is my new best friend! Role of emotional disclosure, performance expectations and intention to reuse

In this modern era, high-tech companies are launching their AI assistants, considering their role in shaping consumer behavior. This research sheds light by building a conceptual framework using dual process theory to determine the impact of AI assistant advantage on user engagement and user emotional disclosure, subsequently influencing the intention to reuse AI with the moderating role of performance expectation. Using a random sampling method, a structured questionnaire was used for data collection from 644 consumers. The findings show that AI assistant advantages positively impact user engagement, and user emotional disclosure increases the intention to reuse AI assistants. This impact of user engagement and user emotional disclosure, along with performance expectations, maximizes the reuse intention of AI. Managers and marketers in the AI environment can insinuate the study methods to increase the intention of reuse and may transform their marketing strategies to promote their businesses using AI more effectively.

Impact of transparent economy on high-tech enterprises in the modern business environment of China

High-quality information support for modern high-tech enterprises in any country is of undeniable relevance. An open, accessible, and fair, transparent economy creates an atmosphere of trust in which people easily perceive transparency, fairness, and efficiency of economic management. The purpose of this study is to determine the impact of a transparent economy on the investment environment, innovation, competitive advantage, government regulation, and the formation of corporate social responsibility in the modern business environment on the example of high-tech enterprises in China. This study uses a multiple linear regression model to analyze the impact of a transparent economy on high-tech enterprises. The research sources included the CSMAR database, China’s stock market and accounting research, China’s economic and financial research database, CRSP, COMPUSTAT, and others, and financial statements of selected high-tech companies. Sustainable development, R&D and innovation, investor relations, social responsibility, and market competitiveness are identified as key aspects of the relationship between a transparent economy and high-tech enterprises. The study confirmed a positive correlation between a transparent economy and the efficiency of resource allocation of high-tech enterprises, the innovation capabilities of high-tech enterprises, the market competitiveness of high-tech enterprises, and the efficiency of state supervision of high-tech enterprises.

Thermodynamic properties of perfluorooctane on the liquid-gas coexistence curve: calculation method and tabulated data

A technique has been developed for constructing a phase equilibrium line in the range from the triple to the critical point for a technically important substance, perfluorooctane (C8F18), which is currently used in various fields of industry and medicine. The proposed phase equilibrium line model includes the following equations: vapour pressure; saturated liquid density; saturated vapour density; “apparent” heat of vaporization. In this case, the vapour pressure equation satisfies the requirements of the scale theory of critical phenomena near the critical point, and the Wegner model in the vicinity of the triple point. The coexistence curve model in the vicinity of the critical point satisfies the Yang-Yang model and renormalization group theory for asymmetric systems, and in the region of rarefied gas it satisfies the linear model of average diameter. In the temperature range 246.15–496.99 K, table for perfluorooctane have been developed, including pressure and density of saturated vapor, density of saturated liquid, heat of vaporization, first and second derivatives of saturated vapor pressure. Using latest experimental data, as well as experimental data on the critical pressures of perfluoroalkanes as a function of their molecular weight, the following values of critical parameters were selected: critical pressure – 1.548 MPa, critical density – 596.4 kg/m3, critical temperature – 496.99 K. A number of statistical characteristics were calculated, including absolute mean deviation and standard deviation, characterizing the accuracy of the proposed phase equilibrium line model when describing experimental data obtained in generally recognized international thermophysical laboratories. The results obtained are useful for high-tech companies engaged in the development of innovative technologies: in the field of radio-electronic and electrical industries, in which perfluorooctane is used as a liquid dielectric and coolant; in medicine, where perfluorooctane is used as a gas transport liquid and is used for ophthalmic purposes; magnetic fluid sealers for the purpose of isolating hazardous substances from the environment and seals for devices operated in vacuum conditions or in contact with aggressive substances; magnetic fluid separators for separating non-ferrous metals by density, etc. The results of this study can also be used in developing the fundamental equation of state for perfluorooctane. The results obtained are useful for high-tech companies engaged in the development of innovative technologies: in the field of radio-electronic and electrical industries, in which perfluorooctane is used as a liquid dielectric and coolant; in medicine, where perfluorooctane is used as a gas transport liquid and is used for ophthalmic purposes; magnetic fluid sealers for the purpose of isolating hazardous substances from the environment and seals for devices operated in vacuum conditions or in contact with aggressive substances; magnetic fluid separators for separating non-ferrous metals by density, etc. The results of this study may also be useful in developing the fundamental equation of state for perfluorooctane.

The Impact of Digital Transformation on ESG Performance: The Role of Supply Chain Resilience

With the development of digital technologies, the impact of digital transformation on corporate performance in environmental, social responsibility, and governance areas warrants further research. This study aims to delve into how digital transformation may impact a company’s ESG performance from the perspective of supply chain resilience. We collect non-financial listed companies in China’s A-shares from 2009 to 2022 as research samples. The results show that digital transformation can significantly improve the ESG performance. Digital transformation can enhance supply chain resilience, namely by reducing supplier and customer concentration to improve a company’s ESG performance. We also reveal that non-heavy polluting companies, high-tech companies, and companies in the eastern regions are more sensitive to digital transformation in terms of ESG performance. This paper contributes to examining the relationship between digital transformation and corporate ESG performance, providing both a theoretical foundation and practical recommendations for guiding companies in achieving digital transformation and improving their ESG performance.

Strategic cooperation of high tech companies of China and Russia

The sanctions imposed on the Russian economics in 2022 by a number of countries created an external shock for many industries in Russia with the strongest impact on the enterprises of high tech industries. At the same time, there is an emerging potential for cooperation between Russian and Chinese manufacturers which is forming new strategies of development of Russian high tech enterprises. In order to evaluate the prospects and trends of development of Chinese high tech industry in this context, the authors applied methods of economic analysis including the correlation analysis. Factors, determining potential of cooperation between Russia and China in this sphere, were systematized on the basis of the methodology of strategizing by Professor Vladimir L. Kvint.It has been stated that Chinese manufacturers are able to replace either partially or completely European and American suppliers in a number of high tech industries: innovative components and equipment for engineering, semiconductors and chips, telecommunications equipment and components. It has been discovered that the number of registered patents and the number of researchers involved in RD in China have a significant correlation with the growth of export of high tech products of China. Further growth will be able to ensure the expansion of technology and knowledge exports from China to Russia.Thus, it can be stated for sure that there are perspective industries and fields of Russia-China cooperation in high tech industry. The sphere of cooperation which can become the basis for the strategy of development of Russian high tech manufacturers is scientific and patent cooperation with Chinese organizations. The authors have also discovered limitations in this cooperation: there is a threat of imposing international sanctions on Chinese manufacturers; Chinese enterprises are working at a high level of workload in the context of the global economic recovery after the coronavirus pandemic; decrease of competitiveness of Russian high tech industry has a negative impact on the expected benefits from the cooperation between the countries. These strategic threats can be overcome with the help of a well-grounded foreign economic strategy developed by Russian and Chinese authorities.

The Mechanism of Enterprise Digital Transformation on Resilience from the Perspective of Financial Sustainability

In the period following the global COVID-19 pandemic, financial sustainability has become critical for the survival of enterprises around the world. This paper investigates the mechanisms and implications of digital transformation on resilience from the perspective of financial sustainability, that is, financial resilience. Employing a sample of Chinese listed firms, the study documents that digital transformation was positively related to financial resilience in normal states due to improved internal corporate governance, increased analyst coverage, alleviated financial constraints, and reduced operation risk. The relationship was more significant for companies with digitally literate executives, non–state–owned companies, and high–tech companies. However, it was not significant during the period of the COVID-19 pandemic and for companies with consecutive losses and delisting warnings. These findings provide unique evidence to support the beneficial effects of digital transformation on corporate resilience and to identify strategies for strengthening financial sustainability.

Enhancing software development practices with AI insights in high-tech companies

Enhancing software development practices with AI insights in high-tech companies

The Impact of Soft Skills Management in High-Tech Companies

The purpose of this academic report is to conduct research on the impact of soft skills management, with a special focus on job competencies in high-tech companies. The content of the chapters will be as follows: The first chapter addressed the theoretical foundations related to soft skills management, especially in high-tech companies. In the next chapter, examples of global companies using soft skills management to achieve efficient results were studied. In the last chapter, a diagnosis of workforce management will be made to propose strategies to increase the progress of soft skills.

Investor attention and environmental performance of Chinese high-tech companies: the moderating effects of media attention and coverage sentiment

In the context of China’s rapid economic development, corporate pollutant emissions are increasing, underscoring the imperative for further enhancement of corporate environmental performance. Given the significance of high-tech enterprises in the environmental domain, this study examines the impact of investor attention on the corporate environmental performance of Chinese high-tech enterprises. This study utilized data from 463 high-tech enterprises in mainland China from 2011 to 2022 and employed the dynamic panel generalized method of moments (GMM) technique. The findings indicate that investor attention has a negative impact on the corporate environmental performance of high-tech enterprises. This research also finds that both media attention and coverage sentiment mitigate the negative relationship between investor attention and environmental performance of high-tech firms. Heterogeneity analysis reveals that in the sample of IT service industry, heightened media attention exacerbates the negative impact of investor attention on corporate environmental performance, and media coverage sentiment exhibits no significant moderating effect. Within samples of non-polluting and state-owned enterprises, increased media coverage sentiment amplifies the negative impact of investor attention on corporate environmental performance. This paper suggests that policymakers should foster a media environment that supports accurate and thorough environmental reporting while businesses should proactively engage with media to align investor perceptions with sustainable environmental practices.

Revealing academic networks’ impact: driving innovation in Chinese high-tech enterprises

ABSTRACT Innovation is a critical aspect in China’s development as a great modern socialist country and in realizing its second-century goals. As key decision-makers in enterprises, the academic network resources carried by senior executives are seldom noticed. This study is going to explore whether senior executives’ academic network relationships (i.e. senior executives are or were employed by universities or research institutions) will spur corporate innovation performance. Drawing on panel data from Chinese A-share high-tech listed companies from 2014 to 2021, the study examines this relationship through multiple linear regression analysis and investigates the mediating role of R&D manipulation in this connection. The results of the study show that the more academic network relationships embedded in senior executives, the better the high-tech firms’ innovation performance. Additionally, R&D manipulation serves as an intermediary factor between senior executives’ academic network relationships and corporate innovation performance. Furthermore, when these individuals hold key positions and have a higher level of academic background, the facilitating effect of senior executives’ academic network relationships is more pronounced. This study broadens the application scope of social network theory and provides valuable insights for high-tech companies aiming to augment their knowledge-based innovation performance and refine their managerial recruitment strategies.