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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. [ABSTRACT FROM AUTHOR]

The high-tech industry plays an important role in promoting the upgrading of industrial structures. Its innovation activities show an obvious two-system structure. To promote co-development and improve industrial competitiveness, it is essential to examine the efficiency and measure the coupling coordination degree between two systems. With this regard, we first measure the relative efficiency using nonparametric technologies under different specifications of each system. Second, the coupling degree and coupling coordination degree between two systems have been calculated. Finally, comparative analyses of efficiency and coupling coordination degrees have been analysed from the perspective of the regional high-tech industry. Empirical results indicate the low overall technical efficiency in the regional high-tech industry is caused by low-scale efficiency under nonconvex. However, it is caused by low pure technical efficiency under convex. Moreover, the average efficiency of technology development in regional high-tech industry is higher than that of technology transformation for convex and nonconvex cases. Furthermore, the degree of coupling coordination of the two systems of the high-tech industry in all regions is moderate and above coordination. The empirical results can provide useful suggestions for policymakers to create an environment conducive to industrial development. [ABSTRACT FROM AUTHOR]

Dominant technology in high-tech industries refers to the technology that can break the stability and balance of the original technology system within a certain period and is widely adopted under the interaction of technological possibility and market choice. It is of theoretical and practical necessity to explore dominant technology's formation under overlapping niche. Thus, based on niche theory and competitive game theory, we established a competitive game model of dominant technology formation, and dynamically simulated the shape of dominant technology. This paper uses 'the proportion of user adoption' to measure dominant technology market share in high-tech industry and maintains that obtaining over 50% confers an obvious competitive advantage. Therefore, we draw three main conclusions: (1) Dominant technology formation in high-tech industry is influenced by R&D input, adopter preferences, adoption returns and the decision-making cost; (2) dominant technology formation under niche overlap can be described as a continuous accumulation and complex dynamic process; and (3) The main goal in the new technology competitive game is to obtain a larger market share, and the interaction in this game, which has two possible results, is complex, dynamic, diverse, and nonlinear. [ABSTRACT FROM AUTHOR]

Employee turnover is an unavoidable part of business development, costing important human resources and impeding long-term growth and strategy implementation. To maintain a steady workforce, businesses must prioritize understanding and addressing this issue. The objective of this study is to examine the impact of leadership style, career development, and work stress on turnover intention in the high-tech industry and to investigate the moderating role of psychological contracts in these relationships. The sample consists of 380 employees of the R&D departments in high-tech companies in Shenzhen, Guangdong province, China, mainly engaged in the electronic information, advanced manufacturing, and automation sectors. The data were gathered via an online questionnaire, and the Smart-PLS approach was used to analyze the data. The empirical findings indicate that transactional leadership, transformational leadership, and career development are significantly and negatively related to turnover intention, whereas work stress has a significant positive effect. The psychological contract moderates the relationship between career development and turnover intention; the higher the psychological contract, the stronger the relationship. In addition, the psychological contract moderates the relationship between work stress and turnover intention, whereby the higher the psychological contract, the weaker the relationship. However, no empirical evidence suggests that the psychological contract moderates the relationship between leadership styles and turnover intention. The R² value is 0.485, indicating moderate explanatory power, and with a GOF index of 0.492, the model also demonstrates a good fit with the data. This study offers considerable implications for both theoretical and practical applications.

This study aims to investigate the influence of remote work on team effectiveness in high-tech enterprises in Jordan, specifically focusing on knowledge management as a mediator. The study utilized a quantitative research design, with 254 participants actively participating in remote work settings across high-tech firms in Jordan. The sample was chosen based on the participants’ personal experiences with remote work arrangements, which provide valuable insights into the interplay between remote working conditions and team dynamics. The paper designed a structured questionnaire to elicit responses from employees about the variables under investigation. The survey data were analyzed using SmartPLS4 to validate the theoretical framework and research hypotheses. The results show a significant positive relationship between remote work and team effectiveness, as well as an improvement in knowledge management practices under telework conditions. Knowledge management practices refer to communicative activities regarding the systematic collection, organization, sharing, and application of knowledge resources. The importance of effective knowledge management practices is realized in remote settings, primarily through increased team efficiency and productivity. These results are statistically significant (p = 0.000), which stresses the importance of effective remote teamwork with regard to knowledge management.

To address the challenges posed by the living environment and promote sustainable development, the Chinese government implemented a new environmental protection law in 2015. Based on the provincial panel data of 30 provinces, autonomous regions, and municipalities in China from 2010 to 2019, the spatial Durbin model is used to investigate the impact of environmental regulation on the employment effect of high-tech industries, and the spatial effect decomposition is used to further clarify the specific impact of environmental regulation on the employment of high-tech industries. The research finds that: Firstly, at the present stage, environmental regulation in China remains at a relatively low level. The employment generation effect of environmental regulation on high-tech industries is insufficient to offset the employment loss effect. Strengthening environmental regulation in the short term is unfavorable for employment in high-tech industries. Secondly, adjacent regions adopt a strategy of competitive differential environmental regulation between governments. The local government relaxes environmental regulation to increase employment, while the neighboring government strengthens environmental regulation to promote industrial upgrading. This approach benefits local employment in high-tech industries in the short term but hinders the sustainable development of high-tech industries. Thirdly, environmental regulation exhibits significant negative spatial spillover effects. Strengthening local environmental regulation will suppress the growth of high-tech industry employment in neighboring areas, and the spatial spillover effect of environmental regulation is primarily influenced by geographic location. [ABSTRACT FROM AUTHOR]

Government intervention in industrial development is prevalent across both developed and developing nations. This paper evaluates the efficacy of Chinese government intervention in high-tech industries in fostering economic development. Methodologically, we assess government intervention's effectiveness by examining the heterogeneity of agglomeration effects in high-tech industries across various locations before and after policy interventions. Our study reveals several key findings: (1) Overall, high-tech industry agglomeration yields positive intra-industry and local spillover effects. (2) Agglomeration effects exhibit significant spatial and temporal variations. Before 2013, government intervention was limited, and high-tech industries predominantly clustered in the eastern region due to market forces, resulting in significantly positive agglomeration effects. However, post-2013, government intervention became evident, particularly driven by competitive dynamics in less-developed regions and central government support for these areas. Consequently, high-tech industries in these regions generated positive intra-industry and local spillover effects, leading to a shift in the distribution of high-tech industry hubs towards the central and western regions. Nonetheless, agglomeration effects diminished in these regions, signaling distortions. (3) Not all high-tech industries exert positive impacts; for instance, the ICT manufacturing sector, characterized by general technology, demonstrates the most pronounced effects, whereas the aerospace manufacturing industry shows relatively weaker agglomeration effects. (4) High-tech industries primarily enhance industrial profitability by refining intermediate inputs and foster local total factor productivity and green total factor productivity through knowledge spillovers. Consequently, policy interventions should aim to effectively facilitate intermediary mechanisms. These findings offer valuable insights into how governments can judiciously intervene in high-tech industries to promote sustainable economic development. [ABSTRACT FROM AUTHOR]

Climate change is destructive to both economic activity and life subsistence. The rising CO2 emission is continuously degrading the environment and altering the characteristics of multiple hazards that can adversely affect human life. Transition to energy sources and industrial processes can maximize the benefits of low transitioning carbon emission technologies while promoting equality and inclusivity. In this pursuit, the response of CO2 emission is provoked by renewable energy consumption, FDI, natural resource, interaction term of FDI and NR, medium–high-tech industry, and economic growth on APEC countries for the period 1996–2020. To draw clear and conclusive information about outcome variables at different quantiles, study applied panel quantiles regression with an optimization method, such as Markov chain Monte Carlo. Natural resource consumption, high-tech industry, and economic growth have a positive, heterogeneous, and significant effect on environmental degradation in all quantiles. It is worth noting that HT deteriorates the environment in APEC countries, generally technological progress increases energy efficiency and reduces emissions. But it confirms the existence of a cost effect, which increases the use of conventional low-cost products over high-tech products. FDI has a positive and significant effect in all quantiles except the first quantile and confirms the presence of PHH. The interaction term (FDI*NRR) and REC effects are negative and significant in all quantiles. The negative effects of interaction term revealed that domestic industry is the cause of over-consumption and emission of NR. The use of clean and green energy consumption is crucial for sustainable development. Policymakers need to design mechanism that promotes steward policies for domestic industry to discourage the use of NR, enhance local–international partnerships in low emission and energy-efficient technologies, and promote the use of renewable energy. These policies will help to achieve certain SDG's goals such as (SDG-7: clean energy sources), (SDG-8: sustainable development goal); and (SDG-9: climate action). [ABSTRACT FROM AUTHOR]

The article discusses development of a project management information subsystem for enterprises of high-tech industries. The problem is formulated as it applies to enterprises in conditions of necessary import substitution of software, conceptual solutions are proposed, and a description of information support for software problem is provided. [ABSTRACT FROM AUTHOR]

Introduction. The competitiveness of industry in modern conditions is carried out through scientific and technological development. High-tech companies play a key role in solving the main tasks of increasing the competitiveness of Russian economy in accordance with global challenges and priorities of Russia’s scientific and technological development. Theoretical analysis. High-tech production, Industry 4.0 technologies and technological entrepreneurship in modern economy are the main actors in achieving technological sovereignty, the transition to economic growth and technological support for the sustainable development of Russian production systems. The article examines the role of technological entrepreneurship in the transition of industrial enterprises to Industry 4.0 technologies. Empirical analysis. An innovative development dynamics analysis in Russia and foreign countries is carried out, a startup studio is considered as a tool for the development of technological entrepreneurship, as well as the practice of its implementation in Russia and the USA. Results. Based on the results of the study, a number of proposals for the development of technological entrepreneurship in the small and medium-sized enterprise industry sector were formulated and justified.

The debate about the efficacy of mergers and acquisitions as a growth strategy in terms of ex-post value creation has been developing for decades. This paper aims to create an artificial neural network that examines trends in the financials and marks the potential sources of value creation in the high-tech industry mergers between 2011 and 2021. The findings demonstrate that ANN can be implemented as a highly efficient model for analyzing complex financial events due to its flexibility and lack of prior assumptions about the data. [ABSTRACT FROM AUTHOR]

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.

Today's competitive advantage is built through sustainability. Regional competitiveness is undoubtedly one of the most important components for achieving sustainability of development at the local level. The analysis of key factors and their correlations, aimed at gauging regional competitiveness, yields valuable insights into the multifaceted elements that impact the growth and advancement of underprivileged regions. However, a crucial question remains: What precisely are the factors that form the foundation for assessing and measuring regional competitiveness? The literature review and analysis initially identified the ten most frequently mentioned factors for measuring regional competitiveness. The overarching aim of the research is the understanding of the ten main determining factors of regional competitiveness and the extraction of ten propositions based on those ten factors and exploring the relationship between various factors and regional competitiveness. This study's time frame was from August 2023 to January 2024. In this research, our aim was to undertake a traditional literature review, concentrating on the context of doing a more traditional and critical literature review rather than a systematic literature review. We assess and evaluate published research spanning the last five years (2018–2023); we have identified and emphasized ten central and widely published factors that span various domains, including (1) economy, (2) labor market, (3) poverty and social inclusion, (4) healthcare, (5) educational infrastructure, (6) environmental considerations, (7) transportation infrastructure, (8) science and technology, (9) high-tech industries, and (10) innovation. Our main findings on these ten reviewed factors indicate the following. (a) The economy factor should be expanded to include education, healthcare, and environmental sustainability parameters, while (b) there is a need to address youth employment differences in the labor market. (c) Collaborative, multidimensional approaches are important, together with improving health infrastructures and services, to improve poverty and social exclusion. (d) Investments on education and innovation are required to improve prosperity and competitiveness, as are more informed policies and collaborative actions for a greener, healthier, and more sustainable future, and finally, (f) well-planned investments in transportation, the essential link between R&D, innovation, and economic progress, as well as additional high-tech industry development and innovative actions should be taken for permanently sustainable and economic growth of the regions. Overall, the research highlights how economic, social, and environmental factors intertwine to shape successful societies, forming a fundamental understanding of regional competitiveness. The research underscores the interconnectedness of economic, social, and environmental factors in shaping prosperous societies, providing a foundational understanding of regional competitiveness. [ABSTRACT FROM AUTHOR]

In this paper, a multi-period difference-in-difference model is constructed to investigate the impact of network infrastructure on enterprise digital transformation. The results show that network infrastructure has effectively promoted the digital transformation of enterprises. Meanwhile, as the scale of network infrastructure construction expands, the role of network infrastructure in promoting enterprise digital transformation will be enhanced. Based on the mechanism analysis, network infrastructure promotes enterprise digital transformation through two channels: easing corporate financing constraints and improving core technical capabilities. Furthermore, the role of network infrastructure in enterprise digital transformation is not invariable, the effect is more pronounced in non-state-owned enterprises, growth enterprises, manufacturing enterprises, and enterprises located in developed cities. [ABSTRACT FROM AUTHOR]

In this paper, a new index is constructed to measure the regional distribution of high-tech industries. Based on the product space theory and the fitness method, we creatively construct the urban high-tech complexity index, which reflects the diversity and universality of urban high-tech industries. Using urban data from Chinese industrial enterprise database, we find the difference in China's urban high-tech complexity between cities shows a downward trend from 1996 to 2013, and the strong positive spatial correlation of this index. These conclusions reflect the diffusion and spillover effects of China's high-tech industries across regions. Our paper is helpful to understand the innovation drivers at the city level, and promotes the synergy and spillover of high-tech industries. [ABSTRACT FROM AUTHOR]

This study investigates the pivotal role of technological innovation in enhancing the export competitiveness of high-tech products in China, analyzing its interplay with industrial upgrading. Theoretically, it contributes to the understanding of how technological innovation affects high-tech product markets, offering a novel product-centric perspective distinct from traditional industry-focused views. Set against China's shift toward a dual circulation development paradigm, the research utilizes a panel regression model to analyze data from 30 Chinese provinces, cities, and autonomous regions from 2011 to 2021. The findings underscore the significant positive impact of technological innovation on export competitiveness, with variances noted across Eastern, Central, and Western regions. The study reveals that technological innovation primarily influences the global competitiveness of high-tech products through industrial upgrading. Policy recommendations emphasize strengthening technological innovation, enhancing education and government support, leveraging regional strengths, and achieving a balance between internal innovation capabilities and market openness. The findings suggest these strategies are crucial for enhancing export performance in the global market for high-tech products. [ABSTRACT FROM AUTHOR]

When using Data Envelopment Analysis (DEA) to evaluate the efficiency of a high-tech industrial system, it is necessary to consider the operating process in each period and the dynamic interdependence between periods of the system. Meanwhile, the shortcomings of the DEA self-evaluation mode cannot be ignored. However, few studies deal with these three problems in a unified framework. Therefore, this paper improves the DEA game cross-efficiency model to the dynamic network DEA game cross-efficiency model to evaluate the efficiencies of high-tech industries in 27 provincial-level regions of China from 2011 to 2015. The main evaluation results are as follows. Regarding overall efficiency, China’s high-tech industry still has approximately 45% room for improvement, and the development of adjacent regions is unbalanced. There are 18 regions with low Research and Development (R&D) efficiencies and 8 with low commercialization efficiencies. From a national perspective, R&D efficiency displays an inverted U-shaped trend, commercialization efficiency shows a U-shaped trend, and overall efficiency increases slightly during the study period. In addition, R&D efficiency has a greater impact on overall efficiency than commercialization efficiency does. The reasons are analyzed, and recommendations are provided based on the evaluation results to improve the efficiency of China’s high-tech industry. [ABSTRACT FROM AUTHOR]

With the continuous advancement of the CAFTA strategy, the relationship between China and ASEAN countries have gradually strengthened, and the trade exchanges between the two sides have developed rapidly, thereby promoting the economic growth of ASEAN countries in the region. This paper uses differences-in-differences method and HS-6 customs statistical code to study the development of China-ASEAN high-tech industries from 1998 to 2017. It turns out that the establishment of the CAFTA has played a positive role in promoting the development of high-tech industries in ASEAN countries. The specific performance is that China and ASEAN countries have closer trade exchanges, and the trade in computer communication technology and electronic technology has become the fastest developing foreign trade sector. In addition, it is found that low economic level and low education level countries will be affected more significantly by the establishment of CAFTA. [ABSTRACT FROM AUTHOR]

Under the rapidly developing economy in China, accurate forecasting holds vital significance for policymaking and operational planning within the high-tech industry. However, the influencing factors affecting the output, accompanied by the time-delay effect, could be nonlinear, and uncertain. Thereby, this paper proposes a new nonlinear grey multivariable model with time-varying lag parameters. To be specific, the newly designed time delay function and power exponent are introduced, which can significantly enhance the adaptability and flexibility of the proposed method. The Grey Wolf Optimization algorithm is utilized to calculate the dynamic time lag parameters and power exponent to improve the prediction reliability. Furthermore, this new approach is applied to predict the high-tech industry's output in China, Shanghai Municipality, and the Eastern Region, with due consideration given to the time-delay effect between input factors and outputs. To assess its efficacy, some leading models are selected for comparison to the proposed model. Furthermore, the utilization of Monte-Carlo simulation, the Probability Density Analysis, and the simulations are used to demonstrate the robustness and stability of this new method. The findings show that the proposed model is a feasible and applicable approach for prediction, exhibiting outstanding accuracy. [ABSTRACT FROM AUTHOR]

This study uses the Hicks-Moorsteen index method to examine the impact mechanism of the digital economy on the total factor productivity and its decomposition efficiencies of the high-tech industry in China. The results show that the total factor productivity of the high-tech industry in the research and development phase is significantly and positively influenced by the primary phase of digital economy development. Digital economy development has a positive impact on technical change, according to the specific path analysis, which has an inverted U-shaped nonlinear characteristic. With a U-shaped nonlinear characteristic, it has a significant and persistent negative impact on efficiency changes, where the positive impact of technological spillovers on the digital economy outweighs the negative impact of technological shocks. The threshold effect test shows that the best condition for promoting total factor productivity and its decomposition efficiency in the R&D stage of high-tech industry was achieved when the digital economy composite index was between 2.611 and 2.747. • We study the effect-mechanism of digital economy on total factor productivity. • Total factor productivity is impacted positively by digital economy. • Digital economy has a positive impact on technical change. • Digital economy has a negative influence on efficiency change. • We provide the best condition for promoting total factor productivity. [ABSTRACT FROM AUTHOR]

As the world's largest manufacturing country, the rapid growth of China's manufacturing industry has historically relied on factor input. To achieve high-quality development of the manufacturing industry, China must accelerate the transformation from extensive factor input to innovation. The purpose of this study is to further explore the impact mechanisms of technological development policy on the high-quality development of the manufacturing industry. It selected data from 30 provinces and cities in China spanning from 2011 to 2021 for the study. Initially, it established a benchmark regression model to verify the positive impact of technological development policies on the high-quality development of the manufacturing industry. Subsequently, a mediation effect model was used to analyze the role of high-tech industry development in mediating this impact, and a moderation effect model was applied to study the moderating effect of the level of infrastructure informatization. Additionally, taking the industrial structure as a threshold variable, a panel threshold effect model was employed to explore the impact of technological development policy on the high-quality development of the manufacturing industry. It was found that enhancing the level of high-tech industries further facilitates the high-quality development of the manufacturing industry through technological development policy. The level of infrastructure informatization positively moderates the impact of technological development policy on the high-quality development of the manufacturing industry. Moreover, the industrial structure exhibits a threshold effect in this impact., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Yamin Wang reports financial support was provided by Hunan Provincial Department of Education. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Ltd.)