Perspective Transformation Research Articles

Finding Creativity in Predictability: Seizing Kairos in Chronos Through Temporal Work in Complex Innovation Processes

Managing temporal complexity is a fundamental challenge in complex innovation processes, yet the temporal work whereby actors seize opportune moments (kairos) in an environment dominated by clock-time structures (chronos) remains elusive. Temporal tensions can partly be resolved through entrainment, that is, by aligning activities with dominant temporal structures. However, although entrainment ensures the exploitation of a predefined path, it is unable to harness unexpected developments as opportunities for exploration. Thus, navigating the competing temporal demands of chronos and kairos requires not just ambidextrous but also ambitemporal organizing. Collecting and analyzing in-depth interview and observational data from pharmaceutical drug discovery and development, we find that actors sometimes resolve temporal tensions through entrainment to ensure coordination and predictability. In other instances, however, actors abductively transform temporal tensions into novel interpretations and new courses of action. As such, temporal tensions become more than a bothersome deviation from the planned schedule, but an opportunity for creative agency. This understanding of kairos—as a process unfolding through temporal work—relies not only on detraining from chronos (i.e., momentarily detaching from the dominant temporal structure to question underlying assumptions), but also on its reframing and reconfiguration. We contribute to the literature on complex innovation and temporality by theorizing a transformative perspective on ambitemporal organizing, which relies less on paradoxical notions and instead emphasizes how kairos is enacted and seized within and from chronos. Funding: This work was supported by German Research Foundation (DFG) funding for the Research Unit “Organized Creativity” [Grant FOR 2161] as well as by the Austrian Science Fund (FWF) [10.55776/I4884].

Research on the impact of environmental regulations on green technological innovation in China from the perspective of digital transformation: a threshold model approach

The digital transformation in developing countries is crucial in determining whether environmental regulations can better facilitate green technological innovation. This paper constructs a theoretical model to deduce the relationships among digital transformation, environmental regulations, and green technological innovation. Empirical research is conducted using a two-way fixed-effects model and a threshold regression approach, based on provincial panel data from China spanning the years 2013 to 2020. The results indicate that environmental regulation inhibits green technological innovation. However, digital transformation, by reducing cost pathways, can promote the efficiency of green technological innovation under environmental regulation. This moderating effect exhibits a nonlinear threshold characteristic. Regarding dimensions of digital transformation, the level of digital investment shows no threshold, while both the level of digital application and the scale of digital integration exhibit threshold effects. Presently, in China, digital transformation effectively incentivizes green technological innovation under environmental regulation. Therefore, increasing digital investment, advancing digital applications, and fostering digital integration are inevitable choices to drive green technological innovation under the pressure of environmental regulation.

Research on the Optimization Path of Enterprise Management in the Perspective of Economic Structure Transformation

Research on the Optimization Path of Enterprise Management in the Perspective of Economic Structure Transformation

Late Modern Projectivity and Existentialism

The article addresses the issue of the relationship between existentialism and late modern projectivity interpreted in terms of project work and of biographical projectivity. It does so from the perspective of transformations of subjectivity in modernity and late modernity, and, therefore, from the perspective of the process of individualization. The objective is to answer the question of the belonging of existentialism to one of these sociocultural formations. For these purposes, some major categories of existentialism such as project, anxiety, and temporality are analyzed. Their analysis leads to the conclusion that there is a close, structural correlation between existentialism and sociocultural structures of modernity as well as that existentialism, in contrast to late modern projectivity, has some emancipatory potential related to its alienating status in modernity. The article refers to the methodology of qualitative sociology.

Method of comparing and transforming images obtained using UAV

The subject matter of this article involves reviewing and developing methods for the comparison and transformation of images obtained using UAV via Computer Vision tools. The goal is to improve methods for image comparison and transformation. Various image-processing methods were employed to achieve the goal of this study,thereby contributing to the development of practical algorithms and approaches for image analysis and comparison. The tasks can be described as follows: 1) development of image comparison methods: design tools for the comparison of images from UAV that efficiently detect differences using algorithms such as cv2.absdiff and the PIL module; 2) Image transformation: implement transformation methods for images from UAV, including perspective transformation and thresholding, to enhance the quality and accuracy of image analysis. The methods used were algorithm development, image transformation methods, statistical analysis, experimental testing, and performance evaluation. The metrics used in this article are response time and accuracy. Algorithms for image comparison have also been refined, particularly those transformed through Global Threshold Value, Adaptive Mean Thresholding, and Adaptive Gaussian Thresholding. A novel change filtering method was introduced to enhance the precision of image comparison by filtering out insignificant alterations following image transformation. Comprehensive investigation of image comparison involving edge detection methods has been systematically presented. The results contain the development of practical algorithms and approaches for image analysis and comparison applicable in diverse areas such as military, security, and agriculture. Possibilities of applying our methods and algorithms in the context of drones were also considered, which is particularly relevant in tasks related to computer vision in unmanned aerial vehicles, where limited resources and the need for real-time processing of a large volume of data create unique challenges. Conclusions. The results contain OpenCV and PIL image comparison methods. OpenCV pixel-by-pixel comparison algorithm showed a better response time with the same accuracy. OpenCV method has 92,46% response time improvement compared with PIL and is 276ms. As for image thresholding with comparison, a method based on Global Threshold Value showed the shortest response time (266ms) and the lowest accuracy. The highest accuracy and response time (366ms) were obtained using the Adaptive Gaussian Thresholding method.

Analysis of the Evolution Pattern and Regional Conservation of Cultural Heritage from the Perspective of Urban Sustainable Transformation: The Case of Xiamen, China

This study focuses on the cultural heritage of Xiamen and uses the spatial analysis method of ArcGIS to analyze the spatiotemporal evolution and distribution characteristics of cultural heritage. Through analysis, we aim to optimize the structure of cultural heritage protection areas and tourism routes in urban planning by analyzing the spatial structure characteristics of Xiamen’s cultural heritage types in various historical periods. The results show that in terms of the time dimension, the existing cultural heritage in Xiamen was mainly built between 1840 and 1949, and the center of cultural heritage shows an overall trend of a “north-south direction”. In terms of spatial dimension, the existing cultural height in Xiamen shows a clustering distribution pattern, with clusters located in the Gulangyu and Xiagang areas of Siming District. According to the period, there is a clear spatial correlation pattern, showing a spatial clustering trend of “strong first and then weak”.

The impact of digital economy on income inequality from the perspective of technological progress-biased transformation: evidence from China

The impact of digital economy on income inequality from the perspective of technological progress-biased transformation: evidence from China

Digital transformation, external financing, and enterprise resource allocation efficiency

AbstractIn a highly informative society, digital transformation has become a new driving force to enhance enterprise competitiveness and promote high‐quality economic development. This paper examines the impact of digital transformation on firms' resource allocation efficiency using a sample of Chinese A‐share listed companies in the manufacturing industry from 2007 to 2019. The research findings are as follows: The digital transformation has significantly improved enterprise resource allocation efficiency. Mechanisms suggest that digital transformation enhances resource allocation efficiency by attracting external financing, both equity and debt financing. Furthermore, the contribution of digital transformation to enterprise resource allocation efficiency is more pronounced in the eastern region, high‐tech industries, and non‐state‐owned enterprises. This paper provides new evidence for exploring effective paths to improve resource allocation efficiency from the digital transformation perspective. It is significant for accelerating enterprise digital transformation and achieving cost reduction and efficiency enhancement.

ART AS A PSYCHOTHERAPEUTIC INSTRUMENT IN THE PRACTICE OF SCHOOL AND EDUCATIONAL PSYCHOLOGIST

School and Educational Psychology is today one of the fields of action within psychology and, just as there has been an evolution in the teaching-learning process in schools, there has also been a transformation in the psychologist's perspective about the student and its development. In this way, not only the theoretical conceptions have changed, but also the methodologies used, requiring from the professionals of education and psychology an adaptation in their practice, which sees the individual in an integral way. In view of this, this article sets out to present the relevance of art as a therapeutic function for the teaching-learning process, seeking as a theoretical basis the work of Nise da Silveira and the images of the unconscious. To do so, they looked for articles referring to the theme in a database such as Google Académico and Scielo, followed by a reading of the summary of the articles found to select those that addressed the proposed theme. It was concluded from this work that art as a tool for education enables processes of awareness of the being about their emotions and conflicts, as well as promotes their identification as active agent in the learning process, emphasizing the importance of an emancipating education.

Post-displacement placemaking to reconnect social capital after the 3.11 earthquake and tsunami in Arahama, Japan

The growing number of natural hazards cause an increase in displacement and disconnections of affected population from their pre-disaster environments. People affected by the March 11, 2011, Great East Japan Earthquake and Tsunami (3.11) faced similar issues. By efforts of Japanese national and local governments, community organizations and individuals, land use restrictions were implemented, and houses and communities were rebuilt. Consequently, original affected lands were emptied, and former residents’ social capital became more disconnected. In response, placemakers took diverse initiatives to recover hazardous areas, reconnect displaced communities, and promote community resilience. This study examined post-3.11 placemaking efforts from the Arahama area of Sendai City in Miyagi Prefecture through different perspectives of land-use transformation, placelessness, place attachment, and reconnecting social capital. Our findings show that post-disaster long-term placemaking projects that have people-based approaches successfully created “third places” with a strong sense of attachment. In these cases, placemakers collectively preserved valuable pre-disaster meanings of places while creating new meaning of places for users and themselves, actively enhanced dimensions of social capital, and reconnected displaced social capital. This research also found that placemaking processes offered dynamic functions, activities, and interventions, resulting in enhanced sense of place.

Study on the impact of regional carbon emissions on enterprise technological innovation under the background of low-carbon transformation in China

Low-carbon transition, as the backbone of corporate innovation drive, has an important strategic position globally. In order to avoid heterogeneous intercepts related to explanatory variables or interfering with each other, this paper empirically examines the impact of regional carbon emissions on corporate technological innovation and its mechanism based on the data of listed companies in China from 2009 to 2020, using a fixed-effects model. It is found that 1) the reduction of regional carbon emissions is favourable to corporate technological innovation; 2) in terms of the impact mechanism, the reduction of regional carbon emissions promotes corporate technological innovation by enhancing R&D investment and reducing financing constraints. 3) Based on the study of heterogeneity, it is found that: from the perspective of spatial distribution, regional carbon emissions show the phenomenon of “high on both sides and low in the middle”; state-owned enterprises refer to wholly state-owned enterprises, wholly state-owned companies and state-owned capital holding companies in which the State Council and the local people’s governments respectively perform the responsibilities of funders on behalf of the state. In terms of the nature of equity, compared with state-owned enterprises, regional carbon emissions have a greater impact on the technological innovation of non-state-owned enterprises. 4) Further analysis reveals that the low-carbon city pilot policy is conducive to regional carbon emission reduction. Through the comparison before and after the implementation of low carbon policy, this paper reliably verifies that the introduction of urban carpet policy is conducive to regional carbon emissions, and explores the issue of enterprise technological innovation from the perspective of low carbon transformation, providing theoretical support for the carbon emission reduction efforts and the improvement of the technological innovation capacity of different enterprises. At the same time, it fully affirmed the important role of regional carbon emissions, continued to deepen the process of green transformation of enterprises, and boosted the high-quality development of low-carbon enterprises.

Remediation of neonicotinoid-contaminated soils using peanut shell biochar and composted chicken manure: Transformation mechanisms of geochemical fractions

Soil remediation techniques are promising approaches to relieve the adverse environmental impacts in soils caused by neonicotinoids application. This study systematically investigated the remediation mechanisms for peanut shell biochar (PSB) and composted chicken manure (CCM) on neonicotinoid-contaminated soils from the perspective of transformation of geochemical fractions by combining a 3-step sequential extraction procedure and non-steady state model. The neonicotinoid geochemical fractions were divided into labile, moderate-adsorbed, stable-adsorbed, bound, and degradable fractions. The PSB and CCM addition stimulated the neonicotinoid transformation in soils from labile fraction to moderate-adsorbed and stable-adsorbed fractions. Compared with unamended soils, the labile fractions decreased from 47.6% ± 11.8% of the initial concentrations to 12.1 ± 9.3% in PSB-amended soils, and 7.1 ± 4.9% in PSB and CCM-amended soils, while the proportions of moderate-adsorbed and stable-adsorbed fractions correspondingly increased by 1.8–2.4 times and 2.3–4.8 times, respectively. A small proportion (<4.8%) in bound fractions suggested there were rather limited bound-residues after 48 days incubation. The PSB stimulated the -NO2-containing neonicotinoid-degraders, which promoted the degradable fractions of corresponding neonicotinoids by 8.2 ± 6.3%. Degradable fraction of neonicotinoids was the dominant fate in soils, which accounted for 58.3 ± 16.7%. The findings made beneficial theoretical supplements and provided valuable empirical evidence for the remediation of neonicotinoid-contaminated soils.

Interpreting the Multiple Narrative Perspectives in Three of Us from the Stream of Consciousness

Three of 'us is Yang Jiang' s review of the happy life about her two family members and herself in the past, so as to express her love to them. The narration of the book is plain and simple, the tone is moderate, and the narrative angle is diverse. The author mainly promotes the development of narrative plot through her free association and the transformation of dream, so as to make the narrative structure more compact. The adoption of the stream of consciousness technique contributes to the transformation of multiple narrative perspectives, and the two complement each other. The successful transformation of the narrative perspective also shows the effect of the stream of consciousness technique in the article.

Impact of Digital Financial Inclusion on Small and Medium-Sized Enterprises

With the rapid development of digital technology, Digital Inclusive Finance (DIF) has emerged and gradually become an important part of financial services. DIF expands service coverage and financing channels through digital technology, bringing a new kind of development opportunity for Small and Medium-Sized Enterprises (SMEs). This paper analyses the enterprises broken down into different regional and different property rights systems in order to study the degree of impact of DIF on SMEs from the perspectives of financing constraints and transformation and upgrading. It then draws the conclusion that DIF has a facilitating effect on SMEs. It can alleviate the financing constraints and reduce the financing cost of SMEs through DIF, which can help to reduce the financing cost of SMEs and improve their development. financing constraints and reduce financing costs, thus promoting innovation and upgrading of SMEs. The effects of digital financial inclusion on SMEs vary depending on location and ownership structures. From a regional perspective, digital financial inclusion has a greater impact on SMEs in the central and western regions than it does on SMEs in the eastern regions. From the perspective of property rights, non-state-owned SMEs have a greater impact on digital financial inclusion than state-owned businesses.

Toward a dynamic capability perspective of digital transformation in SMEs: A study of the mobility sector

Digital Transformation (DT) has been considered a critical structural change for SMEs to be responsive and agile in today's dynamic and turbulent business environments. This significance is more evident in mobility and transport systems in which the sector is undergoing radical technological changes in the context of smart cities. However, SMEs must possess some capabilities to successfully leverage DT toward better performance and gain a competitive advantage. The current research is a step forward toward achieving this goal. Using a multiple case study of mobility sector SMEs in Australia, the authors explore the nature of Dynamic Capabilities (DC) in SMEs and discover digital transformation's enablers, barriers, and performance outcomes.

Digital transformation and innovation output of manufacturing companies-An analysis of the mediating role of internal and external transaction costs.

Digital transformation, based on digital technologies, has triggered economic growth in many industries and brought about production and service transformation in the manufacturing sector. As an important source of innovation output and a driving force for national economic development, it is of great significance to study the impact of digital transformation on innovation output in manufacturing companies. This study analyzes the effects of digital transformation on the quality, quantity, and overall innovation output of manufacturing companies from both the macro provincial-level digital transformation and micro enterprise-level digital transformation perspectives. Additionally, using data from manufacturing companies listed on the Shanghai and Shenzhen stock exchanges from 2012 to 2022, this study empirically tests the mechanism through which digital transformation affects innovation output from the perspectives of internal transaction costs and external transaction costs. The results show that digital transformation promotes overall improvement in innovation output of manufacturing companies and leads to improvements in both the quality and quantity of innovation output. Furthermore, the study finds that the effect of digital transformation on innovation output has a nonlinear characteristic under different levels of market competitiveness and market freedom. The mediation analysis reveals that the influence of digital transformation on innovation output can be attributed to the reduction of internal transaction costs and the enhancement of external transaction efficiency. In terms of digital policy formulation, it is necessary to coordinate the development of diverse and innovative digital infrastructure at the macro level with the micro-level ecosystems of enterprises, in order to reduce transaction costs within and outside innovative entities. Ultimately, it is essential for the government to foster a conducive free market environment that enhances transaction efficiency and timely regulates the excessive competition resulting from oligopolistic monopolies, thus maximizing the potential of digital transformation in promoting innovation output.

The role of highway construction in influencing agricultural green total factor productivity in China: agricultural industry structure transformation perspective

Highway construction is vital in agricultural production, directly influencing food security and public health. This study utilized the Epsilon-based measurement-global-Malmquist-model (EBM-GML) and the spatial econometrics model with 31 Chinese provinces’ panel data from 2002 to 2020 to investigate the impacts and the mechanisms of low-grade and high-grade highways on the agricultural green total factor productivity (AGTFP). Research findings indicated that (1) low-grade and high-grade highway construction significantly promote the AGTFP through technological progress, and the high-grade highway exerts a significant positive spillover effect on the adjacent areas’ AGTFP. (2) The mechanisms of low-grade and high-grade roads on the AGTFP are heterogenous. Low-grade roads could improve the AGTFP by encouraging the rationalization of the agricultural industry structure. High-grade highways promote the AGTFP by upgrading the industry structure. And each-grade road could promote the AGTFP by stimulating the integration of planting and breeding. (3) Both low-grade and high-grade highways improved the AGTFP in non-main-grain-producing areas but inhibited it in main-grain-producing areas. Therefore, this study provided practical policy recommendations for green development in China’s agricultural sector and valuable insights for other developing countries.

Inertia I: The global MSp-SUSY induced uniform motion

In this communication our main emphasis is on the review of the foundations of standard Lorentz code (SLC) of a particle motion. To this aim, we develop the theory of global, so-called, `double space´- or master space (MSp)-supersymmetry, subject to certain rules, wherein the superspace is a 14D-extension of a direct sum of background spaces M4⊕ MSp by the inclusion of additional 8D fermionic coordinates. The latter is induced by the spinors θ and ¯θ referred to MSp. While all the particles are living on M4, their superpartners can be viewed as living on MSp. This is a main ground for introducing MSp, which is unmanifested individual companion to the particle of interest. Supersymmetry transformation is defined as a translation in superspace, specified by the group element with corresponding anticommuting parameters. The multiplication of two successive transformations induce the motion. As a corollary, we derive SLC in a new perspective of global double MSp-SUSY transformations in terms of Lorentz spinors (θ, ¯θ). This calls for a complete reconsideration of our ideas of Lorentz motion code, to be now referred to as the individual code of a particle, defined as its intrinsic property. In MSp-SUSY theory, obviously as in standard unbroken SUSY theory, the vacuum zero point energy problem, standing before any quantum field theory in M4, is solved. The particles in M4 themselves can be considered as excited states above the underlying quantum vacuum of background double spaces M4⊕ MSp, where the zero point cancellation occurs at ground-state energy, provided that the natural frequencies are set equal (q 2 0 ≡ νb = νf ), because the fermion field has a negative zero point energy while the boson field has a positive zero point energy. On these premises, we derive the two postulates on which the Special Relativity (SR) is based.

A License Plate Detection and Recognition Method Based on Improved Yolov5

This study proposes a license plate detection and recognition method based on yolov5. In order to accurately detect the license plate and accurately identify the license plate number, this study adds key point detection based on the yolov5 algorithm to correct the license plate image into a rectangle through perspective transformation, which greatly improves the accuracy of license plate number recognition. Due to embedded deployment, this study simplifies the yolov5 network structure to a certain extent. While reducing the network depth and width, ShuffleNet Block is used to replace the C3 module in yolov5. In the end, this study achieved a mean average precision (mAP) of 89.7% while controlling the network calculation amount to 5GFLOPs. Therefore, this model has broad application prospects in the transportation field.

Commercial bank digital transformation, information costs, and corporate financial constraints

ABSTRACT The rapid development of digital finance has transformed traditional financial institutions. We investigate the effect and economic consequences of bank digital transformation on corporate financial constraints using data from China. The results show that bank digital transformation alleviates corporate financial constraints by decreasing information search, processing, and verification costs. Furthermore, the effect of bank digital transformation on corporate financial constraints is more pronounced for firms with higher contract intensity, more intangible assets, and poorer external information environment. We also find that bank digital transformation alleviates corporate financial constraints by increasing debt financing. In addition, we show that digital transformation promotes lending by big banks, resulting in the crowding-out effect. Finally, we find that bank digital transformation promotes the flow of credit resources to non-zombie firms, which effectively improves credit allocation efficiency. This paper extends research on digital finance and new structural finance from the perspective of bank digital transformation.