Sources of technological innovation: Radical and incremental innovation problem-driven to support competitive advantage of firms

Assessing the impact of urban planning policies on renewable energy: A case a China using the DID estimation model

The ongoing pace of urbanization poses a substantial obstacle to the concurrent progress of both financial and ecological development. Recognizing this challenge, governments globally are formulating cutting-edge strategies for urban renewal to ensure the long-term sustainability of cities. In this context, we employ a difference-in-differences model to scrutinize the intricate relationship between smart cities and the growth of renewable energy, utilizing the Chinese smart city pilot program as a pertinent experiment. This analytical approach provides novel insights into the underlying reasons behind this correlation. The research yields three noteworthy findings. Firstly, it underscores the indispensable role of pilot initiatives in smart cities for advancing the cause of renewable energy. Secondly, the study reveals a positive and beneficial interplay between creativity, economic inclusion, and the utilization of technological innovation in experimental urban programs, suggesting a potential multiplier effect. Thirdly, the local context significantly influences the impact of smart city pilots, with the dissemination of renewable energy being particularly effective in resource-rich, metropolitan, and coastal cities. Observable impacts of current smart city experiment on energy security and sustainable development are already apparent. The research findings contribute fresh perspectives to the complex challenges of sustainable energy production and urban planning, especially in developing countries like China.

The impact of environmental regulation, Environment, Social and Government Performance, and technological innovation on enterprise resilience under a green recovery

In recent years, the world has witnessed an alarming rise in extreme events, posing significant challenges to the survival and growth of enterprises. In response, adopting a green development strategy has emerged as an imperative for businesses to bolster their resilience. It is crucial to recognize that not all enterprises possess the same level of resilience, thereby highlighting the disparities in their ability to withstand adversity. Consequently, scholars have been fervently engaging in discussions and research to identify the most effective paths of green development, enabling enterprises to enhance their resilience and adeptly navigate through crises. This study employs questionnaires to scrutinize the influence of environmental regulation, environment social and government performance, and technological innovation on enterprise resilience by constructing structural equations that encompass both external constraints and internal corporate management. The findings demonstrate that environmental regulations can stimulate technological innovation for the purpose of promoting sustainable development, thereby bolstering enterprise resilience; By incorporating environment social and government principles into their operations, enterprises can instil a culture of environmental consciousness and proactively incentivize innovative solutions, ultimately enhancing their capacity to adapt swiftly and recover from crises; The practice of environmental regulation and the incorporation of environment social and government concepts serve as a catalyst for enterprises to engage in technological innovation, thereby promoting technological advancement and enhancing corporate resilience.

Nobel laureates in Physics, Chemistry and Medicine: relation between research funding and citations.. [DOI: 10.21203/rs.3.rs-2907940/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

One of the vital problems in scientometrics is to explore the factors that affect the growth of citations in publications and in general the diffusion of knowledge in science and society. The goal of this study is to analyze the relation between funded and unfunded papers and citations of Nobel Laureates in physics, chemistry and medicine over 2019-2020 period and the same relation in these research fields as a whole to clarify the scientific development. Original results here reveal that in chemistry and medicine, funded papers of Nobel Laureates have higher citations than unfunded papers, vice versa in physics that has high citations in unfunded papers. Instead, when overall research fields of physics, chemistry and medicine are analyzed, funded papers have a higher level of citations than unfunded, with a higher scaling factor in chemistry and medicine. General properties of this study are that: a) funded articles receive more citations than unfunded papers in research fields of physics, chemistry and medicine, generating a high Matthew effect given by a higher accumulation and growth of citations with the growth of papers, b) funding increases the citations of articles in fields oriented to applied research (such as, chemistry and medicine) more than fields oriented to basic research (physics). Overall, then, results here can explain some characteristics of scientific dynamics, showing the critical role of funding to foster citations and diffusion of knowledge, also having potential commercial implications in applied research. Results here can be provide useful information to understand drivers of the scientific development in basic and applied research fields to better allocate financial resources in research fields directed to support a positive scientific and societal impact.

High potential of technology to face new respiratory viruses: mechanical ventilation devices for effective healthcare to next pandemic emergencies

Some countries in the presence of unforeseen Coronavirus Disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have experienced lower total deaths, though higher numbers of COVID-19 related infections. Results here suggest that one of the explanations is the critical role of ventilator technology in clinical health environment to cope with the initial stage of COVID-19 pandemic crisis. Statistical evidence shows that a large number of ventilators or breathing devices in countries (26.76 units per 100,000 inhabitants) is associated with a fatality rate of 1.44% (December 2020), whereas a higher fatality rate given by 2.46% is in nations with lower numbers of ventilator devices (10.38 average units per 100,000 people). These findings suggest that a large number of medical ventilators in clinical setting has a high potential for more efficient healthcare and improves the effective preparedness of crisis management to cope with new respiratory pandemic diseases in society. Hence, a forward-thinking and technology-oriented strategy in healthcare sector, based on investments in high-tech ventilator devices and other new medical technologies, can help clinicians deliver effective care and reduce negative effects of present and future respiratory infectious diseases, in particular when new drugs and appropriate treatments are missing in clinical environment to face unknown respiratory viral agents .

SARS-CoV-2 surveillance in medical and industrial wastewater-a global perspective: a narrative review

The novel coronavirus SARS-CoV-2 has spread at an unprecedented rate since late 2019, leading to the global COVID-19 pandemic. During the pandemic, being able to detect SARS-CoV-2 in human populations with high coverage quickly is a huge challenge. As SARS-CoV-2 is excreted in human excreta and thus exposed to the aqueous environment through sewers, the goal is to develop an ideal, non-invasive, cost-effective epidemiological method for detecting SARS-CoV-2. Wastewater surveillance has gained widespread interest and is increasingly being investigated as an effective early warning tool for monitoring the spread and evolution of the virus. This review emphasizes important findings on SARS-CoV-2 wastewater-based epidemiology (WBE) in different continents and techniques used to detect SARS-CoV-2 in wastewater during the period 2020-2022. The results show that WBE is a valuable population-level method for monitoring SARS-CoV-2 and is a valuable early warning alert. It can assist policymakers in formulating relevant policies to avoid the negative impacts of early or delayed action. Such strategy can also help avoid unnecessary wastage of medical resources, rationalize vaccine distribution, assist early detection, and contain large-scale outbreaks.

Big data analytics capabilities for reinforcing green production and sustainable firm performance: the moderating role of corporate reputation and supply chain innovativeness

The literature review lacks empirical studies on the role of big data analytics (BDA) and green technological innovation capabilities (GTICs) in promoting the sustainable performance of the manufacturing industry. The primary objective of this study is to examine the role of BDA-technology capability, GTIC, and environmental orientation toward green production and sustainable firm performance. Moreover, this research paper investigates the mediating role of green production and green competitive advantage and the moderating role of corporate reputation and supply chain innovativeness. Primary data was collected from Pakistani manufacturing firms through the survey method. Structural equation modeling was applied to measure and verify the relationship of proposed hypotheses. Empirical findings show BDA technology capability, GTIC, and environmental orientation positively contribute to green production. Moreover, green production helps achieve a green competitive advantage, and green competitive advantage positively influences sustainable firm performance. Furthermore, mediating role of green production and green competitive advantage and moderating role of corporate reputation and supply chain innovativeness was also confirmed. This study contributes by developing a comprehensive model showing the relationship between organizational capabilities, BDA technology capability, GTIC, and sustainable firm performance by considering potential mediators and moderators. Thus, this research suggests enhancing green production and sustainable firm performance through adopting BDA technology capability and GTIC by Pakistani manufacturing firms.

Does information and communication technologies affect economic complexity?

Information and communication technology (ICT) and economic complexity are two concepts that have been extensively used in the recent literature. However, studies linking these two concepts are still at a premature stage and few existing studies have focussed on the role of the internet in a short-term context. Indeed, ICT measures the percentage of the population with access to the internet while economic complexity quantifies the set of productive capabilities and know-how embedded in the production process. This study aims to examine for the first time the long-term effect of ICT (quality and quantity) on economic complexity in a large panel of 112 countries over the period 1986-2017. The detailed analysis explores the long run and directional relationships using the homogeneity test, the cross-sectional dependence test, stationary tests in the presence of cross-sectional dependence, the panel cointegration test, dynamic OLS (DOLS), fully modified OLS (FMOLS), and the Granger panel causality test. The study finds long-run relationships between ICT, economic complexity, per capita GDP, government spending, and natural resources. Cointegration regression shows that the quality and especially the quantity of ICT, economic growth, and government spending have a positive and significant effect on economic complexity in the long run. Similarly, the results show that natural resource rent significantly impedes economic complexity. Finally, the results of the Granger causality test confirm the existence of a bidirectional relationship between ICT and economic complexity.

Supplementary Information

The online version contains supplementary material available at 10.1007/s43546-023-00467-8.

Department of Medicine 2040: Implementing a Constrained Disorder Principle-Based Second-Generation Artificial Intelligence System for Improved Patient Outcomes in the Department of Internal Medicine

Internal medicine departments must adapt their structures and methods of operation to accommodate changing healthcare systems. The present paper discusses some challenges departments of medicine face as healthcare providers and consumers continue to change. A co-pilot model is described in this article for augmenting physicians rather than replacing them. The paper presents the co-pilot models to improve diagnoses, treatments, and monitoring. Personalized variability patterns based on the constrained-disorder principle (CDP) are described to assess chronic therapies' effectiveness in improving patient outcomes. Based on CDP-based enhanced digital twins, this paper presents personalized treatments and follow-ups that improve diagnosis accuracy and therapy outcomes. While maintaining their professional values, departments of internal medicine must respond proactively to the needs of patients and healthcare systems. To meet the needs of patients and healthcare systems, they must strive for medical professionalism and adapt to the dynamic environment.

Evolution of Sensor Research for Clarifying the Dynamics and Properties of Future Directions

The principal goal of this study is to analyze the evolution of sensor research and technologies from 1990 to 2020 to clarify outlook and future directions. This paper applies network analysis to a large dataset of publications concerning sensor research covering a 30-year period. Results show that the evolution of sensors is based on growing scientific interactions within networks, between different research fields that generate co-evolutionary pathways directed to develop general-purpose and/or specialized technologies, such as wireless sensors, biosensors, fiber-optic, and optical sensors, having manifold applications in industries. These results show new directions of sensor research that can drive R&D investments toward promising technological trajectories of sensors, exhibiting a high potential of growth to support scientific, technological, industrial, and socioeconomic development.

New technological trajectories to reduce fossil-fuel pollution and support sustainable socioeconomic systems.. [DOI: 10.21203/rs.3.rs-2323975/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

One of the fundamental problems in modern economies is high carbon emissions and diffusion of pollutants from industrial activities focused on fossil-based energy that generate detrimental effects on climate, environment and human population. The goal of this study is to analyze new trajectories of technologies that can reduce, whenever possible, environmental degradation and support a sustainable growth. A model of technological evolution is proposed to detect new technological trajectories directed to sustainability. Results reveal that technologies with a high sustainability perspective for reducing environmental pollution and climate change are: offshore wind turbines, carbon capture storage technology associated with renewable energy, cellular agriculture and blockchain technology directed positive environmental impact. Findings here can sustain decision making of policymakers towards investment in promising technological directions that reduce environmental pollution and sustain ecological transition and sustainable development in human society.

Effective Identification of Technological Opportunities for Radical Inventions Using International Patent Classification: Application of Patent Data Mining

Identifying technological opportunities early on is critical for the development of radical inventions (RIs). Patents are recognized as one of the most reliable resources for identifying technological opportunities. In line with this, this study aimed to suggest a novel approach for the identification of technological opportunities for RIs, based on the International Patent Classification (IPC), whose design knowledge has not been fully utilized. In this approach, technological opportunities for RIs are identified by measuring the value of technological novelty (VON) of each technology manifested in a patent set, and the value of difficulty (VOD) of each R&D theme contained in the patent set. Specifically, VONs are calculated through a novel map of technological changes over time, based on structured data from the patent set; and VODs are determined using natural language processing, K-means cluster analysis, and complex network analysis of the unstructured data from the patent set. The feasibility and operability of the proposed approach are verified in a case study of unmanned aerial vehicles. The proposed approach can help designers maximize the use of designs and expert knowledge in patent libraries, to formulate technical strategies for RIs.

Radical Concept Generation Inspired by Cross-Domain Knowledge

Cross-domain knowledge can stimulate radical concept generation (RCG), but there is a lack of guidance to utilize the cross-domain knowledge for RCG. This paper proposes an effective process of RCG in four steps: (1) Identifying radical technology opportunities based on analysis of the dynamic relationship between demand and technical performances; (2) Applying laws and lines of the technological system evolution to determine the search direction of cross-domain knowledge in a qualitative perspective; (3) Taking the minimum complementary distance measure for appropriate cross-domain knowledge in a quantitative perspective; (4) Forming radical concepts using the cross-domain knowledge as inspirations. The method reduces risks and costs caused by uncertainty in RCG and has potential to fertilize research on radical innovation and knowledge-based innovation. A radical concept of gas generator demonstrates the effectiveness of the proposed method.

DeepKnuckle: Deep Learning for Finger Knuckle Print Recognition

Biometric technology has received a lot of attention in recent years. One of the most prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the finger is not exposed to surfaces, FKP would be a dependable and trustworthy biometric. We provide an FKP framework that uses the VGG-19 deep learning model to extract deep features from FKP images in this paper. The deep features are collected from the VGG-19 model’s fully connected layer 6 (F6) and fully connected layer 7 (F7). After applying multiple preprocessing steps, such as combining features from different layers and performing dimensionality reduction using principal component analysis (PCA), the extracted deep features are put to the test. The proposed system’s performance is assessed using experiments on the Delhi Finger Knuckle Dataset employing a variety of common classifiers. The best identification result was obtained when the Artificial neural network (ANN) classifier was applied to the principal components of the averaged feature vector of F6 and F7 deep features, with 95% of the data variance preserved. The findings also demonstrate the feasibility of employing these deep features in an FKP recognition system.

Accelerated innovation in crises: The role of collaboration in the development of alternative ventilators during the COVID-19 pandemic

This article discusses the need for accelerated innovation in crisis situations and argues that collaboration plays an important role in enabling such acceleration. The central research question is: How can innovation efforts during crises be accelerated, and what role does collaboration play? We draw on a phenomenon-driven, in-depth qualitative case study of seven initiatives that have developed alternative ventilators in the Netherlands during the COVID-19 crisis. Our results highlight how the COVID-19 pandemic has created a relatively short crisis window of opportunity for accelerated innovation processes that is driven by the urgency to develop solutions to the challenge at hand. Importantly, we show that when collaborative initiatives join other collaborative initiatives- what we define as nested collaboration-a forum for coordinated knowledge and resource exchange between the initiatives is created, increasing the potential for learning and accelerating the innovation process. Finally, we find that purpose is an important intermediating mechanism to accelerate innovation as it enables non-competitive collaboration between the initiatives in favor of the public good. Our results have important implications for accelerated innovation processes to achieve societal missions, goals, or challenges.

Whether and how managers' negotiable fate belief and knowledge search affect enterprise innovation

Purpose

The purpose of this paper is to explore the mechanism and boundary condition of the effect of managers' negotiable fate belief (NFB) on enterprise incremental and radical innovation based on social cognition theory and social network theory.

Design/methodology/approach

The authors used Mplus and SPSS (Statistical Product and Service Solutions) to test the proposed model with data from 278 enterprises that have established national or municipal enterprise technology centers. In this study, questionnaires were collected through commission and field investigation.

Findings

The results indicate that managers' NFB has a significant positive impact on local and cross-border knowledge search and on the incremental and radical innovation of enterprises. Knowledge search is positively correlated with enterprise innovation and can play a mediating role between the managers' NFB and enterprise innovation. Network capability can positively moderate the relationship between managers' NFB and cross-border knowledge search but has no significant impact on the relationship between managers' NFB and local knowledge search.

Originality/value

Although there have been many studies of managers' cognition, little is known about how managers' NFB influences enterprise behavior and enterprise innovation. This study incorporates managers' NFB and knowledge search into the research model and examines the moderating effect of network capability between managers' NFB and knowledge search from an interactive perspective. By verifying the research model, this study offers original views on whether and how managers' NFB and knowledge search affect enterprise innovation.

How Technological Innovation Affect China's Pharmaceutical Smart Manufacturing Industrial Upgrading

In recent years, a new generation of information technology has provided sufficient technical support for the smart manufacturing industry. In order to promote the upgrading of China's pharmaceutical smart manufacturing industry, the direction of industrial upgrading and transformation will be discussed from the perspective of technological innovation. According to the input and output data of technological innovation in China's pharmaceutical manufacturing industry from 2007 to 2019, the DEA method is used to analyze the allocation of innovative resources in China's pharmaceutical manufacturing industry in recent years. The study found that the efficiency of technological innovation in China's pharmaceutical manufacturing industry fluctuated greatly from 2007 to 2019, with a low overall level and varying degrees of wasted resources. On this basis, an in-depth analysis of the system architecture of the pharmaceutical smart manufacturing industry under the Industry 4.0 environment was performed. Finally, four paths for the digital transformation of China's pharmaceutical manufacturing industry are proposed. Chinese pharmaceutical manufacturing companies need to use new technologies to carry out comprehensive intelligent upgrading and digital transformation to improve innovation efficiency.

Renewable energy technological innovation, market forces, and carbon emission efficiency

Renewable energy technological innovation (RETI) is an important way to reduce carbon emissions and achieve sustainable development. Exploring whether RETI is beneficial to the improvement of carbon emission efficiency and how the market environment affects the role of RETI on carbon emission efficiency is critical to the design of effective policies. Therefore, based on the data from 25 provinces in China from 2002 to 2015, the Tobit fixed-effect model and the panel threshold model are used to investigate the impact and the mechanism of RETI on total factor carbon performance index (TCPI) from a market perspective. The results show that: (1) RETI can effectively improve TCPI, but this effect is affected by market factors; (2) With the reduction of market segmentation or the increase of market potential, the improvement effect of RETI on TCPI is significantly enhanced; (3) The panel threshold model further verifies that the impact of RETI on TCPI has a significant single threshold effect in terms of market segmentation and market potential; (4) There is an inverted "U-shaped" relationship between market segmentation and TCPI, and the increase of market potential is conducive to the improvement of TCPI. This paper provides corresponding policy implications for China to achieve the dual goals of economic transformation and carbon emission reduction.

A Multidimensional Study of Absorptive Capacity and Innovation Capacity and Their Impact on Business Performance

The aim of this paper is to understand how absorptive capacity and innovativeness influence business performance. Most previous studies have not considered the different dimensions of absorptive capacity and innovativeness. As a consequence, they have not analyzed the relationships between these dimensions, such as potential and realized absorptive capacity (RACAP) and product and process innovation. In our study, we analyzed the relationships between each of these dimensions and their effect on organizational performance. To achieve this, in addition to the theoretical foundation provided by the working hypotheses, a questionnaire was sent to 800 CEOs of Spanish companies in different sectors, obtaining a response rate of 38.25%. Structural equation modeling was applied to test the hypotheses. This study confirms the positive effect of absorptive capacity on innovation capacity, which in turn has a positive effect on business performance. Moreover, different dimensions of absorptive capacity and innovativeness play an important role in these relationships. This study contributes to a better understanding of how potential and RACAP influence the innovativeness of firms, both in their ability to innovate products and to improve business processes. In addition, it explores how these different innovations impact business performance and provide firms with knowledge on how to invest resources to increase profits. Future research should further study the inner workings of each of the dimensions analyzed to determine the importance of each dimension for business performance.

Service Robots: Trends and Technology

The 2021 sales volume in the market of service robots is attractive. Expert reports from the International Federation of Robotics confirm 27 billion USD in total market share. Moreover, the number of new startups with the denomination of service robots nowadays constitutes 29% of the total amount of robotic companies recorded in the United States. Those data, among other similar figures, remark the need for formal development in the service robots area, including knowledge transfer and literature reviews. Furthermore, the COVID-19 spread accelerated business units and some research groups to invest time and effort into the field of service robotics. Therefore, this research work intends to contribute to the formalization of service robots as an area of robotics, presenting a systematic review of scientific literature. First, a definition of service robots according to fundamental ontology is provided, followed by a detailed review covering technological applications; state-of-the-art, commercial technology; and application cases indexed on the consulted databases.

Remote enrollment into a telehealth-delivering patient portal: Barriers faced in an urban population during the COVID-19 pandemic

Telehealth drastically reduces the time burden of appointments and increases access to care for homebound patients. During the COVID-19 pandemic, many outpatient practices closed, requiring an expansion of telemedicine capabilities. However, a significant number of patients remain unconnected to telehealth-capable patient portals. Currently, no literature exists on the success of and barriers to remote enrollment in telehealth patient portals. From March 26 to May 8, 2020, a total of 324 patients were discharged from Mount Sinai Beth Israel (MSBI), a teaching hospital in New York City. Study volunteers attempted to contact and enroll patients in the MyChart patient portal to allow the completion of a post-discharge video visit. If patients were unable to enroll, barriers were documented and coded for themes. Of the 324 patients discharged from MSBI during the study period, 277 (85%) were not yet enrolled in MyChart. Volunteers successfully contacted 136 patients (49% of those eligible), and 39 (14%) were successfully enrolled. Inability to contact patients was the most significant barrier. For those successfully contacted but not enrolled, the most frequent barrier was becoming lost to follow-up (29% of those contacted), followed by lack of interest in remote appointments (21%) and patient technological limitations (9%). Male patients, and those aged 40-59, were significantly less likely to successfully enroll compared to other patients. Telehealth is critical for healthcare delivery. Remote enrollment in a telemedicine-capable patient portal is feasible, yet underperforms compared to reported in-person enrollment rates. Health systems can improve telehealth infrastructure by incorporating patient portal enrollment into in-person workflows, educating on the importance of telehealth, and devising workarounds for technological barriers.

Technological Innovation

Technological innovation is when inventions of new things and/or new ways of doing things are transformed into usable devices and applications to enable organizations and/or adopters to take advantage of important opportunities, to cope with consequential problems or environmental threats. Technological innovation is an element of the complex system of technology directed to satisfy needs, achieve goals, and solve problems of adopters in society. The origin and diffusion of technological innovation are main characteristics of the evolution of technology directed to support wealth creation and the development of human societies.

Technological exaptation and crisis management: Evidence from COVID‐19 outbreaks

One of the key issues in the field of technology analysis and innovation management is how new technologies origin and evolve in the presence of environmental threats. We confront this problem focusing on emerging innovative solutions to cope with unexpected and harmful problems posed by crises and needing a rapid, effective response. We specifically analyze the patterns of critical innovations to cope with new coronavirus disease (COVID‐19) that is generating public health and economic issues worldwide. Accordingly, in the context of the theory of technological exaptation, we adopted a narrative approach examining vital innovations that ended up treating COVID‐19 even though they were originated to treat other diseases (more or less distant from the COVID‐19 domain), as the antiviral drug Remdesivir and the antirheumatoid arthritis drug Tocilizumab. Results reveal that technological exaptation, especially if characterized by a longer exaptive distance, is a potential driving force of innovation to cope with COVID‐19 in the short‐term and other similar issues. On this basis, we provide propositions for a more general crisis model of innovation. This study adds a new perspective that may be helpful to explain the evolution of innovation in the presence of crises, considering technological exaptation in a context of environmental threats.

Accelerating Green Innovation Performance from the Relations of Network Potential, Absorptive Capacity, and Environmental Turbulence

The demand for sustainable development and the advantages of industries are expediting over time with the triggering of green innovation performance (GIP). Improving a firm’s GIP, especially in manufacturing industries, can accelerate green development and mitigate the global-concerned environmental issues. Thus, to investigate GIP from its antecedent factors, we delineate the relationship between network potential, absorptive capacity, environmental turbulence, and GIP based on social network theory, organizational learning theory, and contingency theory. We tested our hypotheses based on 233 sets of questionnaire surveys from high-tech manufacturing firms in China through deploying the hierarchical regression and bootstrap method. Our empirical findings reveal that the network potential dimensions, including network position centrality (NPC), network structure richness (NSR), and network relationship closeness (NRC), significantly positively impacted the GIP. The absorptive capacity (AC) partially mediated the relationship between the network potential dimensions and GIP. Environmental turbulence (ET) as an essential mechanism not only positively moderated the relationship between AC and GIP but also enhanced the AC mediation effect. These findings indicate that manufacturing firms should continue to improve network potential and AC and respond rapidly to changes in the external environment to enhance GIP, consequently contributing to the sustainable development of the economy.

Leading Indicators for Detecting Change of Technology Trends: Comparison of Patents, Papers and Newspaper Articles in Japan and US

Continual development necessitates innovation. One must discover seeds of innovation and then concentrate resources on these seeds. To do so, one must recognize technology trends and then adopt and execute appropriate innovation strategies. This study used advanced change point detection method to investigate leading indicators that represent changes in technology trends. We examine patents, papers, and newspaper articles in Japan and US for 55 technologies. Results suggest that patents can be more appropriate as leading indicators than either papers or newspapers. This result can contribute to appropriate innovation strategies for planning and updating, and can provide tools that are useful to decision-makers.

Knowledge-based marketing and competitive advantage: developing new scales using mixed method approach

Purpose

One of the most challenging issues businesses face today is seeking ways toward gaining competitive advantage (CA). Although previous research considered several aspects in this regard, the literature has largely overlooked the process of gaining CA via knowledge-based marketing (KBM) capabilities. This paper aims to conceptualize KBM, to develop a new scale for KBM and to examine how to gain CA through KBM.

Design/methodology/approach

Drawing from the related literature and building on the concept of KBM, this paper conducted a mixed-method approach. After reaching a pool of items using qualitative methods, this paper developed new scales and validated them. This paper developed the model by highlighting the antecedent role of KBM toward CA. In the quantitative phase, using data collected from both public/private and manufacturing/service firms, this paper classified the extracted items into five critical factors. Moreover, the relationship between KBM and CA was tested.

Findings

The results indicate that KBM construct consists of five critical capabilities, including market research, competitive intelligence, supply chain management, customer relationship management and new product development. Moreover, there is a positive and significant relationship between KBM and CA.

Originality/value

The traditional ways to achieve CA no longer work. Instead, success in the existing business context necessitates firms to seek CA through their knowledge capabilities. Previous research did not fully address KBM antecedents toward CA in a comprehensive model. By developing a new scale for KBM, this paper tested its relationship with CA, which has hitherto received scant attention in the field of knowledge and competition.

Inspiriting Innovation: The Effects of Leader-Member Exchange (LMX) on Innovative Behavior as Mediated by Mindfulness and Work Engagement

Continuous innovation has become a key to gaining a sustainable competitive advantage for organizations in the 21st century. By focusing on the underlying mechanisms (i.e., mindfulness and work engagement) by which it works, this study addresses the quality of leader–member relationships and their relevance for innovation in the workplace. Using a sample of 210 employees from 17 Spanish companies, a two-wave longitudinal design evaluated the mediational roles of mindfulness and engagement between leader–member exchange (LMX) quality and innovative work behavior (IWB) in an organizational context. Over the course of a year, two questionnaires were administered to measure LMX quality, mindfulness, engagement, and IWB. Results from structural equation modeling provided support for the hypothesized double-mediation model with a significant full double mediation. Findings suggested that mindfulness and engagement could be characteristic mechanisms of high-quality LMX that helps to facilitate innovation. Practical implications include its creative value in gaining a competitive edge over market competitors and helping organizations to find a sustainable source for their consistent growth through their human capital and innovative potential.

Phylogenomic tracing of asymptomatic transmission in a COVID-19 outbreak

SARS-CoV-2 has caused over 100 million deaths and continues to spread rapidly around the world. Asymptomatic transmission of SARS-CoV-2 is the Achilles' heel of COVID-19 public health control measures. Phylogenomic data on SARS-CoV-2 could provide more direct information about asymptomatic transmission. In this study, using a novel MINERVA sequencing technology, we traced asymptomatic transmission of COVID-19 patients in Beijing, China. One hundred and seventy-eight close contacts were quarantined, and 14 COVID-19 patients were laboratory confirmed by RT-PCR. We provide direct phylogenomic evidence of asymptomatic transmission by constructing the median joining network in the cluster. These data could help us to determine whether the current symptom-based screening should cover asymptomatic persons.

Advanced Material Against Human (Including Covid-19) and Plant Viruses: Nanoparticles As a Feasible Strategy

The SARS-CoV-2 virus outbreak revealed that these nano-pathogens have the ability to rapidly change lives. Undoubtedly, SARS-CoV-2 as well as other viruses can cause important global impacts, affecting public health, as well as, socioeconomic development. But viruses are not only a public health concern, they are also a problem in agriculture. The current treatments are often ineffective, are prone to develop resistance, or cause considerable adverse side effects. The use of nanotechnology has played an important role to combat viral diseases. In this review three main aspects are in focus: first, the potential use of nanoparticles as carriers for drug delivery. Second, its use for treatments of some human viral diseases, and third, its application as antivirals in plants. With these three themes, the aim is to give to readers an overview of the progress in this promising area of biotechnology during the 2017-2020 period, and to provide a glance at how tangible is the effectiveness of nanotechnology against viruses. Future prospects are also discussed. It is hoped that this review can be a contribution to general knowledge for both specialized and non-specialized readers, allowing a better knowledge of this interesting topic.

How (Un)sustainable Environments Are Related to the Diffusion of COVID-19: The Relation between Coronavirus Disease 2019, Air Pollution, Wind Resource and Energy

The pandemic caused by novel coronavirus disease 2019 (COVID-19) is generating a high number of cases and deaths, with negative effects on public health and economic systems. One of the current questions in the contemporary environmental and sustainability debate is how high air pollution and reduced use of renewable energy can affect the diffusion of COVID-19. This study endeavors to explain the relation between days of air pollution, wind resources and energy, and the diffusion of COVID-19 to provide insights into sustainable policy to prevent future epidemics. The statistical analysis here focuses on a case study of Italy, one of the first countries to experience a rapid increase in confirmed cases and deaths. The results reveal two main findings: (1) cities with high wind speed and high wind energy production have a lower number of cases of COVID-19 in the context of a more sustainable environment; (2) cities located in hinterland zones with high air pollution, low wind speed and less wind energy production have a greater number of cases and total deaths. The results presented here suggest that the pandemic caused by novel coronavirus (SARS-CoV-2) and future epidemics similar to COVID-19 cannot be solved only with research in medicine but the solution also needs advanced capabilities and technologies for supporting sustainable development based on the reduction of air pollution and increase of production in renewable energy to improve air quality and as a consequence public health.

THE IMPACT OF LOCKDOWN ON PUBLIC HEALTH DURING THE FIRST WAVE OF COVID-19 PANDEMIC: LESSONS LEARNED FOR DESIGNING EFFECTIVE CONTAINMENT MEASURES TO COPE WITH SECOND WAVE.. [DOI: 10.1101/2020.10.22.20217695]

What is hardly known in the studies of the COVID-19 global pandemic crisis is the impact of general lockdown during the first wave of COVID-19 pandemic both public health and economic system. The main goal of this study is a comparative analysis of some European countries with a longer and shorter period of national lockdown during the first wave of COVID-19 from March to August 2020. Findings suggests that: a) countries with shorter period of lockdown have a variation of confirmed cases/population (%) higher than countries with longer period of lockdown; b) countries with shorter period of lockdown have average fatality rate (5.45%) lower than countries with longer period of lockdown (12.70%), whereas variation of fatality rate from August to March 2020 suggests a higher reduction in countries with longer period of lockdown (−1.9% vs 0.72%). However, Independent Samples Test and the Mann-Whitney test reveal that the effectiveness of longer period of lockdown versus shorter one on public health is not significant. In addition, the COVID-19 pandemic associated with longer period of lockdown has a higher negative impact on economic growth with consequential social issues in countries. Results of the impact of COVID-19 lockdowns on public health and economies of some leading countries in Europe, during the first wave of the COVID-19 pandemic, can provide vital information to design effective containment strategies in future waves of this pandemic to minimize the negative effects in society.