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Outsourcing is an important strategic decision of high-tech firms. However, while the research has extensively studied the implications of outsourcing to high-tech clients, its impact on high-tech vendors remains underexplored. This study empirically estimates the impact of government outsourcing contracts on high-tech vendors. Employing the earnings-return analyses framework, we find that, for high-tech vendors engaged in government outsourcing contracts, the stock market places a higher value on each unit of unexpected earnings compared to other firms. Additionally, this impact becomes stronger for contracts with longer terms, for contracts outsourced by the U.S. government or by countries with better political and economical stability. We obtain causal evidence through difference-in-differences (DID) analyses of high-tech firms' initiations of government contracts. Mechanism analyses uncover two primary drivers behind this impact: increased persistence of future earnings and improved alignment between accrual earnings and cash flows. Overall, our research indicates that when valuing high-tech firms, the stock market incorporates information from supply-chain networks, especially that related to government customers. Our results underscore the importance of obtaining government outsourcing contracts for high-tech firms' managers. Becoming a vendor to the government helps a high-tech firm reduce the uncertainty faced by its outside investors, who in turn value the high-tech firm's earnings to a greater extent. [ABSTRACT FROM AUTHOR]

This article explores the question of the integration ability of peripheral regions into innovation-led growth. While previous research has suggested that peripheral regions may be at a disadvantage, recent studies have argued that there may be potential benefits to their integration into the innovation process. This article offers a different approach for the examination of this controversy. First, it uses knowledge-based occupations as a measure of innovation activity (instead of types of activities such as startups, high-tech activities or services). Second, it considers innovation advance under two perspectives: demand (as measured by types of occupations installed in a region) and supply (as measured by types of occupations of the resident labour force). We use regression analysis to compare trends in the last two decades in Israel.Although findings indicate a process of adaptation of both periphery and centre to the innovation trend (in terms of increasing relative growth of high-level occupations), both in terms of supply and demand, steady gaps between the growth coefficients lead to a process of degradation of the periphery: lower increase of skills in the periphery and lower adaptation of demand to increasing skills. This results in a higher commuting rate (or migration) of skilled workers from the periphery, a substantial relative concentration of blue-collar occupations and an increasing supply of unskilled workers to the centre.The prevention or attenuation of such a process requires the consideration of policy measures regarding the prevailing ecosystem factors.

The purpose of this paper is to investigate the adoption of information technology in museums and to identify the latest high-tech applications used in museums from the perspective of management. A systematic review of 250 English articles published in SCOPUS, classified into Business, Management, and Accounting, was conducted. The results showed that the number of publications on this topic steadily increased during the study period. The maximum number of publications occurred in 2023 and reached 43 documents. Authors from Europe, North America, and Oceania have contributed more to the investigation of the roles of technologies in museums. The results provide evidence of the significant evolution of high-tech applications in museums that have been investigated recently. Thanks to the Internet, social media, websites, mobile applications, big data, blockchain, etc., communication between museums and not only their visitors but also other stakeholders has improved effectively. In addition, the latest innovations, such as augmented reality, virtual reality, mixed reality, artificial intelligence, and eye-tracking technology, have provided visitors with a better experience in museums.

This study explores whether the 'strength of weak ties' theory, derived from social network theory, can equally apply to business activities. To address this question, we conduct an empirical analysis, utilising 3‐year panel data encompassing 3881 samples of Korean small and medium‐sized enterprises (SMEs) in the high‐tech manufacturing sector. The primary objective is to examine the effects of inter‐corporate tie strength on innovative performance. The results reveal an interesting pattern in high‐tech manufacturing corporations, where the strength of a tie demonstrates an inverted U‐shaped relationship with an SME's patent achievement. Moreover, we observe that the effect of tie strength on an SME's patent achievement is positively moderated by its research and development (R&D) intensity. Furthermore, when an SME maintains weak ties within its relationship with a large corporation, its innovative performance experiences a more positive impact than in cases where no relationship with a large corporation exists, or strong ties are maintained. These findings suggest that for SMEs, maintaining an appropriate level of embeddedness with large corporations is an effective strategy for generating sustained innovative performance within an environment characterised by active technological innovation and intense competition. The principal contribution of this paper lies in the empirical validation of the theory of weak ties concerning a firm's innovative performance. [ABSTRACT FROM AUTHOR]

Traditionally, entrepreneurs build long-term companies that generate profits by selling goods and services. Nowadays, entrepreneurs are building companies solely to sell them to larger corporations to profit from early 'exits' due to the glorifying media characteristic. Based on an Israeli case study, this article examines how media outlets portray the 'exit' catchphrase. An analysis of semi-structured interviews with Israeli tech journalists and a thematic analysis of news articles is used to identify the three main narratives appearing in the media for encouraging exits: High-tech entrepreneur (individual), company (entity), and the industry (macro point of view). [ABSTRACT FROM AUTHOR]

In this paper, we extend the literature on Gibrat's law of firm growth by testing Gibrat's law for knowledge size of high-tech firms. Two measures of a firm's knowledge size which represent its knowledge stock and diversity are developed from its portfolio of patents. Using non-parametric regressions, specifically local polynominal estimators, we find that Gibrat's law applies to knowledge size of high tech firms, specifically when their knowledge surpasses a certain threshold in size. [ABSTRACT FROM AUTHOR]

In the third decade of the 21st century, global technological competition is spreading at an unprecedented level in every corner of the whole world. Major economies view technological change as a fundamental core capability for maintaining national security. Western countries, led by the United States, view technological change as a fundamental core capability for maintaining national security, making every effort to build leadership and consistency in the field of technology, and resorting to a high-tech cold war approach to suppress non-western countries. In the foreseeable future, China will build a strong country in science and technology, and achieve the goal stated in the report of the 20th National Congress of the Communist Party of China, which is to achieve high-level technological self-reliance and self-improvement by 2035, and enter the forefront of an innovative country, as scheduled, will become even more challenging. In this regard, efforts to break through the current situation, reconstruct a new situation, lead changes, and revitalize the overall situation have become necessary measures for China to break through the current high-tech cold war. [ABSTRACT FROM AUTHOR]

Copyright of Builder (1896-0642) is the property of PWB MEDIA Zdzieblowski sp.j. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Justice is a category that significantly impacts corporate performance. It has been shown in many scientific publications that it affects, among other things, the motivation and commitment of employees, shapes the atmosphere in the workplace and influences employee performance. However, research has yet to be done on the effect of justice on the effectiveness of temporary teams (set up for a limited time to solve a problem or carry out a project), even though such teams are now a common form of teamwork. This study is intended to fill an identified research gap. Its purpose is to determine whether justice affects the effectiveness of temporary teams in an organisation and, if so, whether all types of justice affect that effectiveness to the same extent. A main hypothesis was formulated: All kinds of justice (procedural, distributive, interpersonal and informational) have the same effect on the effectiveness of the temporary work team. The modified Colquitt scale was used. Differences in the impact between types of justice on the effectiveness of teams have been assessed using the U-Mann-Whitney test. The paper uses the results of a survey conducted among 110 managers from high – tech industry with experience with temporary teams. Based on their information, it has been established that justice has a significant impact on the effectiveness of temporary teams, and the importance of different types of justice varies. The most important in this respect is informational justice. Interpersonal and distributive justice is slightly less important (there is no statistically significant difference between them). Procedural justice ranked third. Based on the results of the research, it can be pointed out that managers should pay attention to the perception of fairness of temporary team members. Above all, they should take care of the communication aspects, including in particular, the sharing of crucial information with employees of this type of team.

"High-tech" provides a cachet of futuristic wonders to localities claiming cutting-edge technological research and industrial innovation. But the high-tech electronic manufacturing processes release hundreds of chemicals and are no doubt ridden with extremely high but hidden environmental health risks. This article aims to increase our understanding of "ignorance" about electronics hazards in the Asian context. It argues that the electronics industries have been under constant innovation, and novel uses of chemicals are introduced to the industrial operation at a much faster pace than the health and environmental assessment can work to comprehend the impacts of the chemicals. In such a context, regulatory science has often failed to effectively monitor and control toxic waste discharges in the high-tech electronics sector. Taking several high-tech pollution disputes in Taiwan as examples, and based on interviews with experts in pollution regulation, this paper discusses multiple constraints on scientific advance in studying toxics that are exacerbated by lagging regulations. These are further entangled with research resource limitations, privileging of high-tech industries in suppressing negative information about toxicity risks, and knowledge repression within the scientific community due to dependence on government and industry, all of which has crippled building knowledge for effective regulatory science–resulting in knowledge gridlock. [ABSTRACT FROM AUTHOR]

This study examines how a labor cost shock affects firms' research and development (R&D) activity, focusing on the heterogeneous effect across firm size. Using the difference-in-differences approach, we investigate the R&D effect of Labor Contract Law (LCL) on firms in China. Empirical evidence reveals that, when considering the law binding issue, strict enforcement of the LCL has a negative treatment effect on treated firms' R&D expenditure, which was reduced by 3.03%–6.75% on average, but it did not affect their likelihood of engaging in R&D. Crucially, the LCL's R&D effect varies greatly by firm size. There is a positive treatment effect for large and medium-sized firms, whereas small treated firms reduce R&D in response to the labor cost shock. These heterogeneous effects apply to R&D propensity across firm size. The potential mechanisms for mitigating the LCL's cost impact are discussed. Robustness checks reaffirm the above findings. Plain English Summary: The purpose of this paper is to question that does a stringent labor regulation hamper or facilitate firms' R&D activity in China? Whether this R&D effect of labor regulation differs across large, medium, and small firms. We examine these questions by drawing on the discussions about labor regulation, firm size, and R&D in literature. Subsequently, the difference-in-differences approach is adopted to conduct empirical estimations, with a panel dataset drawn from Chinese Annual Survey of Industrial Firms. We find that strict enforcement of the Labor Contract Law executes a negative treatment effect on treated firms' R&D expenditure, but not for their likelihood of engaging in R&D. Crucially, this R&D effect is a positive for large and medium-sized enterprises, but negative for small firms. Thus, the principal implication of this study is that small firms are disadvantageous in innovation activity under labor cost shocks. Small firms should consider feasible strategies to promote productivity in response to changes in the external environment. [ABSTRACT FROM AUTHOR]

This study investigates investors' reaction to good/bad earnings news when faced with market- and industry-wide uncertainties. Our results provide little support for the discount rate explanation that investors' reaction to good news is dampened during high market volatility. However, the results strongly support the learning hypothesis that earnings news provides value-relevant information for investors during periods of high-market volatility, but that investors cannot learn as much from earnings news under industry-wide uncertainty. These findings also support the conservation hypothesis that investors react more strongly to bad earnings news when faced with market-wide uncertainty. [ABSTRACT FROM AUTHOR]

With the growing development of the knowledge economy in recent years, the value of knowledge workers has increased substantially. On the basis of the broaden-and-build theory (B&B theory) and conservation of resources (CoR) theory the aim of this research work is to evaluate the mediating effect of leader-member exchange (LMX) and organizational learning (OL) between servant leadership and knowledge innovative work behavior (IWB). Current study included the participation of 496 knowledge employees from China's high-tech companies. The responses of the survey were analyzed using MPLS software while utilizing the structural equation modeling method. The findings validated the link between servant leadership (SL) and IWB. In the relationship between SL and IWB, LMX and OL mediated the relationship as parallel mediator. This study discovered a correlation between SL and OL and LMX. In addition, the findings signify that in the Chinese high-tech companies' SL style augments IWB through the support of OL and LMX. The results of the study are useful for harnessing the leader and member for achieving organizational objectives through enhancing the innovative work behavior in the knowledge workers of Chinese high-tech companies. [ABSTRACT FROM AUTHOR]

The paper presents an original approach to assessing cyclical fluctuations in the share of high-tech products in the foreign trade of the United Kingdom of Great Britain and the Northern Ireland. This approach can serve as a foundation for decision-making at a state level regarding issues of regulating Ukrainian development in innovation, science, and technology. It also reveals the economic content and distinguishes the influence of separate structural components (linear, accelerated, and cyclical growth) on the changes in the share of high-tech products in the foreign trade. Further, the analysis also determines two important relative indicators: share of high-tech exports in total U.K. manufactured exports and share of high-tech exports in the country's GDP. The dynamics cycles of hightech exports in the United Kingdom with periods of 4.2 and 4.3 years are determined and the extent of the cyclical component's influence on the overall trend is calculated. This paper is part of a research project that uses the same original approach to analyze various countries with significant high-tech exports on the global scale. [ABSTRACT FROM AUTHOR]

This study investigates the impacts of Industry 4.0 (I4.0) on the South African manufacturing sector in light of the Fourth Industrial Revolution (4IR) and the Industry 4.0 concept. The South African manufacturing sector, consisting of approximately 11,400 VAT-registered organizations, is explored in a novel approach. No prior study has analyzed the cointegrating and long-run effects of I4.0 on this sector. The autoregressive distributed lag (ARDL) model is employed, accommodating both stationary and nonstationary variables without recalculating the order of integration. To address endogeneity, small sample bias, serial correlation, and heterogeneity, the Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) models are estimated. Long-run relationships among variables, including manufacturing value added (MVA), I4.0, carbon dioxide emissions, Foreign Direct Investments (FDI), and inflation, are considered. Vector Autoregressive (VECM) modeling is used to establish causality relationships, while the Cumulative Dynamic Multiplier (CDM) visually illustrates impact relationships. Data from the World Bank's WDI (2023), covering the period 2000Q1–2020Q4, are employed. Key findings include a significant negative relationship between I4.0 and South Africa's MVA. Policy implications suggest substantial investments in advanced education, Information and Communications Technology (ICT), and medium to high technology exploration. The study reveals positive associations between carbon dioxide and MVA, significant short and long-run impacts of FDI on MVA, and a long-run relationship between inflation and MVA. These insights provide valuable considerations for strategic investments and policy decisions in the context of technological advancements.

The purpose of the study is to determine factors that have the greatest influence on the growth of export of high-tech goods in the context of innovation transfer for social-economic development. Factor analysis tools, including principal component analysis and the Varimax rotation (orthogonal transformation) method in Statgraphics software, are used to identify the most significant indicators of the impact on export of high-tech goods, as a key determinant characterizing the quality of scientific and educational potential, and to determine the latent signs of their interaction. A modified logistic function is used to normalize input data for 11 investigated factors in a sample of 28 countries. Ten linear combinations of variables are obtained, which explain most of the data variability. The first four components have eigenvalues greater than or equal to 1.0. Together, they account for 88.520% of the variability of the original data. After orthogonal transformation by the Varimax method, the factor load matrix is obtained. The econometric models, which describes the influence of independent indicators on the export of high-tech goods, are represented. Next, the four most influential indicators from the 11 investigated factors are revealed, namely: the country’s research and development expenditure, GDP in current prices, research staff and researchers in the sector of business enterprises, the percentage of ICT staff from total employment. They are taken to develop multiple linear regression models, which describes the influence of independent indicators on the effective export of high-tech goods. The quality results of the factor analysis are confirmed using the Kaiser-Meier-Olkin test and the Bartlett test. Regression analysis with strict screening of non-significant variables using the Backward Stepwise Selection tool confirms the significance of the indicator of scientific research personnel and researchers in the sector of business enterprises, which has the greatest impact on the export of high-tech goods. A pair regression model is obtained, and it is confirmed that increase of research staff and researchers in the sector of business enterprises by 1% causes increase of export of high-tech goods in average by 0,73%.

The aim of this paper is to project the future dynamics of US-China relations and assess the associated risks of bifurcation of the global economy between the two blocs. The United States and China face a strategic paradox in their long-term competition to research, develop, and acquire new and emerging technologies. In the commercial sphere, the two nations’ research and development (R&D) of emerging technologies is now deeply integrated, potentially providing mutual benefits to each country’s markets. However, despite their commercial interconnectedness, national security planners in each country continue to view each other as potential adversaries. By using the methods of explanatory research and an inductive approach for analysing the management of technological innovation and economic development, the authors argue that China’s economic transformation towards the upper end of global industrial value chains and the seizure of entire product ranges or supply chains have put at risk the US’s hegemonic status. By imposing export sanctions, the United States is trying to force technological decoupling and disable the functioning of global supply chains in the domains critical for Chinese high-tech in order to slow down or contain China’s technological and economic rise. Consequently, the conclusion drawn is that the United States will continue its efforts to maintain primacy over China in emerging technologies, such as artificial intelligence, semiconductors, and nanotechnology, by mobilising investments in research and development as well as by using export bans and other kinds of sanctions. In this way, it is likely that a state of cohabitation between the two trading blocs will be developed, which would create the conditions for the evolution of the strained relations between the US and China.

This study sheds light on the prevalence, focus, and key structural dimensions of the Impact Tech Startup—a new organizational category of enterprise whose technologically innovative products or services are aimed at creating social or environmental impact. After tracing the Impact Tech Startup's conceptual roots and the features it shares with startups and social enterprises, we examine the context of Israel as a particularly supportive environment for startup entrepreneurship. We then present the initial findings from our empirical study conducted in Israel, in which we examined 1657 startups, developed a machine learning algorithm to identify which of these can be classified as an Impact Tech Startup, and clustered the results within the framework of the United Nations' 17 Sustainable Development Goals. Our findings indicate that approximately one third of Israel's startups can be classified as an Impact Tech Startup. Of these, almost a third are producing products or services relevant to Sustainable Development Goal 3 (Good Health and Well-being). Furthermore, we find that the technologies deployed by ITSs can help optimize decisions by professionals and, in doing so, substantially contribute to tackling social and environmental challenges. This study aimed to give the Impact Tech Startup an initial "face" and to invite further, more detailed studies in the future. [ABSTRACT FROM AUTHOR]

Copyright of Builder (1896-0642) is the property of PWB MEDIA Zdzieblowski sp.j. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Financial, Accounting & Managerial Studies is the property of Journal of Financial, Accounting & Managerial Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The purpose of the study is to determine factors that have the greatest influence on the growth of export of hightech goods in the context of innovation transfer for social-economic development. Factor analysis tools, including principal component analysis and the Varimax rotation (orthogonal transformation) method in Statgraphics software, are used to identify the most significant indicators of the impact on export of high-tech goods, as a key determinant characterizing the quality of scientific and educational potential, and to determine the latent signs of their interaction. A modified logistic function is used to normalize input data for 11 investigated factors in a sample of 28 countries. Ten linear combinations of variables are obtained, which explain most of the data variability. The first four components have eigenvalues greater than or equal to 1.0. Together, they account for 88.520% of the variability of the original data. After orthogonal transformation by the Varimax method, the factor load matrix is obtained. The econometric models, which describes the influence of independent indicators on the export of high-tech goods, are represented. Next, the four most influential indicators from the 11 investigated factors are revealed, namely: the country's research and development expenditure, GDP in current prices, research staff and researchers in the sector of business enterprises, the percentage of ICT staff from total employment. They are taken to develop multiple linear regression models, which describes the influence of independent indicators on the effective export of high-tech goods. The quality results of the factor analysis are confirmed using the Kaiser-Meier-Olkin test and the Bartlett test. Regression analysis with strict screening of non-significant variables using the Backward Stepwise Selection tool confirms the significance of the indicator of scientific research personnel and researchers in the sector of business enterprises, which has the greatest impact on the export of high-tech goods. A pair regression model is obtained, and it is confirmed that increase of research staff and researchers in the sector of business enterprises by 1% causes increase of export of high-tech goods in average by 0,73%. [ABSTRACT FROM AUTHOR]

This review focuses on describing the fundamental/applied materials science and technological applications of a transformational multifunctional diamond-based material named ultranano­crytalline diamond (UNCDTM) in film form. The UNCDTM films are synthesized using microwave plasma chemical vapor deposition (MPCVD) and hot filament chemical vapor deposition (HFCVD), via patented Ar/CH4 gas flown into air evacuated chambers, using microwave power, or hot filaments’ surface, to crack CH4 molecules to generate C atoms and CHx (x = 1, 2, 3) species, which produce chemical reactions on substrates’ surfaces, producing diamond film with grain sizes in the range 3–5 nm (smallest grain size known today for any polycrystalline diamond film), providing the bases for the name UNCD. UNCD coatings exhibit a unique combination of properties, namely: (1) super high hardness and Young modulus, similar to the crystal gem of diamond; (2) lowest coefficient of friction compared to other diamond or diamond-like coatings; (3) no mechanical surface wear; (4) highest resistance to chemical attach by any corrosive fluid; (5) only diamond film exhibiting electrical conductivity via Nitrogen inserted in grain boundaries, binding to C atoms and providing electrons for electrical conduction, or B atoms substituting C atoms in the diamond lattice, providing electrons to the conduction band; and (6) best biocompatibility, since UNCD coatings are formed by C atoms (element of life in human DNA, cells/molecules). The UNCD films’ properties provide unique multifunctionalities, enabling new generations of industrial, electronic, high-tech, and implantable medical devices/prostheses, enabling substantial improvement in the way and quality of life of people worldwide.

Electronics industry in Russia is an example of how inefficient old approaches to production can be. In XXI century, most companies have abandoned integrated device manufacturing, thus separating design and production. The main goal of this article is to analyze prospects for development of electronics in Russia with Government strategy being a huge supporting factor. Worldwide deficit of semiconductors, worsened by COVID-19, together with export sanctions imposed upon this country put a strain on both national fabless companies and IDMs, depriving them from future growth and undermining their stability. The authors employ induction, deduction, analysis, synthesis, analogy, and description, basing their work on scientific papers of the Russian and world economists as well as tech specialists. Government strategy and increased financial support may generate positive impact and assist existing foundries. However, the cherished goal of reducing dependency on market leaders (which is coveted by many nations) cannot be achieved as most producers stand in a long line before they can purchase equipment for their foundries. Therefore, the best-case scenario implies second-hand lithography systems from manufacturers wishing to upgrade. This is sufficient for sustainable development of microcontrollers but hinders high-tech aspirations of fabless companies in Russia. At the same time this issue is not limited to Russia alone - many countries have realized the need for production localization and changed their focus from either self-reliance or import substitution to partnership with leading foundries.

Purpose: The article analyzes the market-orientation level and its impact on high-tech manufacturing companies’ competitiveness at two points in time.

The aim of this paper is to explore the nexus between innovation and internationalization (the "self-selection hypothesis") in the behavior of business organizations operating in the ICT sector. The data was gathered from a survey of national and multinational companies in the Romanian ICT sector. The results show a significant positive influence between innovation and internationalization, although this relationship is more robust for multinational companies, due to the history and strategies of parent companies. The findings have major implications for literature, macroeconomic management, and business practice. [ABSTRACT FROM AUTHOR]

Assistive technology can support and enhance the learning, independence, and daily living skills of students with disabilities, including students with intellectual disability (ID). Assistive technology is not generally disability dependent; however, for students with ID we decided to focus on assistive technology across two areas: instructional aids -- with a focus on reading, writing, and mathematics -- and transition and independence. Throughout our focus on these two categories of assistive technology, we discuss low-tech, mid-tech, and high-tech options to support students with ID. [ABSTRACT FROM AUTHOR]

This study investigates the impact of information uncertainty on analysts' earnings forecasts for a sample of European companies from 2010 to 2019. We argue that representativeness, anchoring and adjustment, and leniency biases jointly influence analysts' forecasts and lead to optimism. We suggest that uncertainty boosts analysts' optimism as behavioral biases increase in situations of low predictability. We test analysts' optimism through the association between forecast errors and, separately, two modifications (forecast revision and forecast change) when these modifications are upwards and downwards. To examine the uncertainty effect, we implement descriptive and regression analyses for two subsamples of high-tech and low-tech firms. The evidence indicates that analysts are optimistic, as they overreact to positive prediction modifications and underreact to negative prediction modifications. The optimism is more significant for high-tech firms and increases considerably with the forecast horizon. For robustness, we utilize analysts' forecast dispersion as a second proxy for uncertainty, and we obtain comparable results. [ABSTRACT FROM AUTHOR]

Copyright of Review of International Affairs (04866096) is the property of Institute of International Politics & Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article's objective is to present the results of our research on the selection of an international strategy (adaptation vs. standardization) of Polish firms on the international market in the area of product and promotion, depending on whether they belong to the high-tech industry or not. The research methodology applied in the article includes a critical literature review and quantitative methods using a CATI survey. This study is based on a sample of 355 internationalized businesses from Poland. A two-step approach was used in the quantitative study: 1) Student's t-test and 2) logistic regression. Research shows that Polish firms from the high-tech industry adjust their international strategy to a greater extent to the requirements of individual international markets, both in product and promotion, than firms from non-high-tech industries. This study enriches the problem of international marketing strategy with the current view of the high-tech industry. The specificity and attributes of high-tech firms shed new light on the choice of a marketing strategy. It proves that the specificity of the sector can be essential and differentiate marketing decisions. In addition, high-tech attributes allow firms to respond better to today's turbulent environment. The study can have many practical inspirations for managers, business owners, and entrepreneurs deciding on their international strategy and implementing high-tech attributes in building competitive advantage in the internationalization process. [ABSTRACT FROM AUTHOR]

This study identified the zones likely to apply high-tech rice and corn technology based on criteria from different expert groups. Based on the resulting limiting factor for ability suitable, structural and non-structural solutions have been proposed to improve the suitability of rice and corn with high-tech applications. It was the basic foundation to support strategic planners in agricultural development sustainability in the future. High technology application in agricultural production is an inevitable trend in today’s society. In Vietnam, high-tech agricultural production has developed for a long time in high-tech industrial park production. However, in agricultural production, applying high technology with mass production has yet to have any specific regulations on criteria for implementation in production. On that basis, the research aimed at determining the requirements for developing high-tech agriculture with mass production. Therefore, the predefined criteria for primary and secondary data were developed, which were used for the data collected from farmers, managers, and scientists. Thereby, a production hierarchy of adaptations for rice and corn was built based on consultation results with the farmers and scientists and published studies. The results also made three land adaptation zones apply high technology in mass production for these two crops. The areas suitable for producing rice and corn with high technology applications were marginally suitable, and not suitable prevailed. No region in the An Giang province has a strong potential for cultivating high-tech rice and corn. This result also established adaptive upgrading solutions for applying high technology in the future, which helped improve agricultural production efficiency. [ABSTRACT FROM AUTHOR]

Semiconductors are considered the most important technology for the future of USChina technological rivalry. Based on the methods of document analysis, policy analysis, history, logic, statistics and comparison, the article will analyze the actual state of competition between the U.S. and China in the field of semiconductors from 2015 to 2022, and forecast some trends in the coming time. The paper then makes some recommendations for Vietnam to come up with an effective strategy with a view to taking advantage of the opportunities and minimizing the negative impacts caused by the US-China semiconductor war. [ABSTRACT FROM AUTHOR]

The current epidemic of Coronavirus Disease 2019 (COVID-19) has become a public health event worldwide. Through ethical analysis of a series of epidemic prevention phenomena and epidemic prevention measures taken by the Chinese (and other countries) government and medical institutions during the COVID-19 pandemic, this paper discusses a series of ethical difficulties in hospital emergency triage caused by the COVID-19, including the autonomy limitation of patients and waste of epidemic prevention resources due to over-triage, the safety problem of patients because of inaccurate feedback information from intelligent epidemic prevention technology, and conflicts between individual interests of patients and public interests due to the “strict” implementation of the pandemic prevention and control system. In addition, we also discuss the solution path and strategy of these ethical issues from the perspective of system design and implementation based on the Care Ethics theory.

This article’s objective is to present the results of our research on the selection of an international strategy (adaptation vs. standardization) of Polish firms on the international market in the area of product and promotion, depending on whether they belong to the high-​tech industry or not. The research methodology applied in the article includes a critical literature review and quantitative methods using a CATI survey. This study is based on a sample of 355 internationalized businesses from Poland. A two-step approach was used in the quantitative study: 1) Student’s t-test and 2) logistic regression. Research shows that Polish firms from the high-tech industry adjust their international strategy to a greater extent to the requirements of individual international markets, both in product and promotion, than firms from non-high-tech industries. This study enriches the problem of international marketing strategy with the current view of the high-tech industry. The specificity and attributes of high-tech firms shed new light on the choice of a marketing strategy. It proves that the specificity of the sector can be essential and differentiate marketing decisions. In addition, high-tech attributes allow firms to respond better to today’s turbulent environment. The study can have many practical inspirations for managers, business owners, and entrepreneurs deciding on their international strategy and implementing high-​tech attributes in building competitive advantage in the internationalization process.

ABSTRACTIn this paper, we cross-fertilise responsible innovation (RI), the Lean Start-up approach (LSA) and the Quadruple Helix approach (QH) within one model: the social responsibility for start-ups model (SRSM). SRSM aims to instil responsibility into the start-up innovation process by ensuring that the voices of stakeholders from all four helices are taken into account, whilst providing an assessment of current impacts in these areas compared with the ambition of start-ups. This helps to identify room for improvement in order to provide an iterative, lean approach for start-ups to inform the strategy of the start-up cycle, which incorporates the four helices of the QH, and the four process requirements found in RI theory (anticipation, reflexivity, inclusiveness, and responsiveness). This model works as a way to operationalize responsibility in start-ups. This paper fills a gap where there is a lack of suitable approaches for start-ups to follow and implement.

Quarantine policies introduced in the context of COVID-19 are affecting business operations and slowing down the flow rate of the overall economy. Different degrees and types of threats occur in both the living environment and the working environment during the epidemic prevention, which causes many additional uncertainties. The impact on employees is the identity threat from environment and organizations. This is different from the related research on the identification and impact of the threat before the occurrence of COVID-19. However, in the post-pandemic period, companies continue to strengthen important factors that can increase innovation and recovery, including the role of employee knowledge sharing. The organizational inequity and lack of organizational justice bring about the threat of internal identification in organizations. In order to ensure their own interests in organizations, employees may think twice when sharing knowledge. Therefore, this study explores the relationship among employees' identity threat, social capital and knowledge sharing behavior from the perspective of organizational behavior. In this study, a sample of high-tech employees was conducted, and a total of 434 questionnaires were obtained. The research results show that employees' perception of identity threat has a negative impact on knowledge sharing behavior and positively affects social capital; employees' social capital positively affects their knowledge sharing behaviors; and organizational reward system moderates the relationship between identity threat and knowledge sharing behavior. Based on the comprehensive research findings, this research proposes corresponding theoretical and practical implications. [ABSTRACT FROM AUTHOR]

From a novel quantile perspective, this paper employs nonparametric quantile causality and quantile connectedness to investigate distributional predictability and spillover effects among new energy, steam coal, and high-tech under normal and tail conditions. We first identify the quantile causality: there is a unidirectional causality between the quantile orders 0.1 and 0.4 from technology high-tech to new energy, indicating that the stock price of technology companies has a predictive power of the stock prices of new energy companies when the latter is relatively low. Next, in terms of quantile connectedness, while the risk shocks to the system do not propagate strongly around the median, there are strong spillover effects in both tails. Moreover, high-tech and new energy contribute most of the system's spillovers, and high-tech is the main net shock transmitter to all other variables. We further find that the strength of spillovers may depend on events such as China's stock market rout of 2015 and the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Innovation management theory has its origins heavily grounded in studies of the routines and practices of large-scale and research and development (R&D) intensive enterprises, with a reduced understanding of the small and medium-sized enterprises (SMEs) context. Through a cross-case analysis of 12 case studies along the R&D-intensity spectrum (6 low-medium technology (LMT) and 6 medium-high/high-technology (HMHT) case studies selected), this research study explores our understanding of SMEs' differences within the similar by asking the following question—how does open innovation manifest itself within the heterogeneous context of SMEs innovation practices? Our findings reinforce the heterogeneity of OI SME innovation practices by revealing the following. First, the rationale and importance of OI adoption differs—principally operational (LMT) vs. strategic (HMHT). Second, distinct OI partners are leveraged depending on the R&D intensity of the SME namely LMT SMEs typically partner with smaller scale SME partners known to them whereas for HMHT SMEs, there is a tendency to partner with larger scale, more geographically and cognitively distant partners. OI adoption for LMT SMEs tended to be short-term in duration, demonstrating a tendency to switchback to a closed innovation paradigm once OI motivating constraints were addressed. In contrast, our findings highlighted how HMHT SMEs explored more coupled OI modes. This study further reveals how OI SME can be peripheral in nature with many SMEs at a competitive disadvantage in the long term as the collaborative capabilities derived from engaging in deeper modes of OI are not being explored. [ABSTRACT FROM AUTHOR]