Characteristics Of External Environment Research Articles

Lithium-Ion Battery Life Prediction Using Deep Transfer Learning

Lithium-ion batteries are critical components of various advanced devices, including electric vehicles, drones, and medical equipment. However, their performance degrades over time, and unexpected failures or discharges can lead to abrupt operational interruptions. Therefore, accurate prediction of the remaining useful life is essential to ensure device safety and reliability. Conventional RUL prediction methods typically rely on regression analysis, signal processing, and machine learning techniques to assess battery conditions such as charge/discharge cycles, voltage, temperature, and durability. Although effective, these approaches are constrained by their dependence on large amounts of labeled data and the necessity for complex feature engineering to capture battery physical characteristics. In this study, we propose an approach that employs deep transfer learning to address these limitations. By leveraging pretrained model weights, the proposed method significantly improves the efficiency and accuracy of RUL prediction even under limited training data conditions. Furthermore, we investigate the impact of external environmental factors and physical battery characteristics on RUL prediction precision, thereby contributing to a more robust and reliable prediction framework.

Corporate green innovation under environmental regulation: The role of ESG ratings and greenwashing

China's economic trajectory has transitioned from prioritizing rapid growth to emphasizing quality, efficiency, and sustainability. In this context, balancing environmental protection with the promotion of a green economy has become increasingly significant. This study investigates the relationship between environmental regulation and green innovation in Chinese enterprises using data from listed companies spanning 2007 to 2019. The results indicate that environmental regulations positively influence green innovation among firms, a finding validated by robustness checks, including instrumental variable methods. Furthermore, the study identifies corporate greenwashing behaviors and environmental, social, and governance (ESG) performance as mediating factors. Firms resort to greenwashing strategies to mitigate regulatory pressures while simultaneously fulfilling their ESG responsibilities, thus contributing to green innovation. Additionally, the study reveals that the impact of environmental regulations on green innovation is heterogeneous, varying according to the external economic environment, firm ownership, and industry characteristics. The positive effect is more pronounced under lower levels of government intervention, in private enterprises, and among energy and new energy sectors. These findings underscore the nuanced dynamics between regulatory frameworks and corporate innovation in China.

Digital Economy and Urban Innovation Ability: From the Spatial Nonlinear Perspective

Using the panel data of China’s 286 prefecture-level cities from 2011 to 2019, this paper explores the causal relationship between digital economy and urban innovation ability by panel vector auto-regression (PVAR), examines the spatial and dynamic effects of digital economy on urban innovation ability by spatial dynamic panel Durbin (SDPD) model, and studies the nonlinear effects of digital economy on urban innovation ability under different external environments using threshold spatial dynamic panel (TSDP) model. The results show that: (a) The urban innovation ability has significant spatial dependence and presents a U-shaped evolution trend. (b) In the short term, the digital economy has a positive impact on urban innovation ability, both directly and indirectly; in the long term, only the indirect effect of the digital economy remains significantly positive. (c) In different external environments, the impact of digital economy on urban innovation ability is nonlinear and has significant external environmental threshold characteristics. Specifically, the digital economy is more conducive to the improvement of urban innovation ability with a moderate degree of marketization; the effect of digital economy empowering urban innovation ability is better in a good legal environment or technological environment.

Consumer Preference and Willingness to Pay for Rice Attributes in China: Results of a Choice Experiment.

Understanding urban consumers' preferences for rice attributes is crucial for rice breeders, producers, and retailers to meet diverse and evolving market demands. Based on the sample data of 629 rice consumers in Shanghai, China, obtained through the choice experiment (CE) approach, this study uses the mixed logit (ML) model to analyze consumers' preferences and willingness to pay (WTP) for food safety labels, brands, nutritional quality, and taste quality. Furthermore, the latent class (LC) model examines the heterogeneity in consumer group preferences. The research findings highlight that consumers prioritize taste quality as the most crucial attribute, followed by nutritional quality, food safety labels, and brand attributes. The premium rates for superior taste quality, organic certification labels, and green certification labels exceeded 100%. Interestingly, while combining organic certification with well-known international or domestic brands does not uniformly boost consumer preferences, incorporating green certification alongside well-known international or domestic brands significantly elevates those preference levels. Factors such as the external environment, consumption habits, and personal characteristics significantly influence individuals' preferences for rice attributes. Based on these insights, the study puts forth policy recommendations for rice breeders, producers, and retailers.

Social and physical environment effects on toileting disability among older adults in India

BackgroundTo examine the prevalence of toileting disability among older adults in India and its association with broad aspects of the physical and social environment.MethodsWe use data from the inaugural wave of the Longitudinal Ageing Study in India and focus on adults aged 65 and older (N = 20,789). We draw on the disablement process model and existing frameworks to identify environmental factors and other risk factors that may be associated with toileting disability. Hierarchical logistic regressions are implemented to analyze the health impacts from physical and social environment characteristics.ResultsOne in five older Indian adults had difficulties with toileting, and the prevalence rate of this functional disability varied across sub-national regions. We find that low neighborhood trust was associated with an increased likelihood of toileting disability, as was the use of assistive mobility devices. The negative effects of these social and external environment characteristics hold when we stratified the sample by rural and urban residency. Also, older adults in urban areas without access to toilets and using shared latrines had higher odds of being disabled in terms of toileting. Other factors important in explaining toileting disability among older adults included poor self-rated health, arthritis, currently working, living in the East or West region, and having functional limitations.ConclusionsPoor person-environment fit can compromise older adults’ ability to perform self-care tasks. Policymakers need to look beyond the physical environment (e.g., dedicating resources to construct toilet facilities) to adopt a more holistic, multi-faceted approach in their sanitation policies. Improving the safety of neighborhood surroundings in which shared latrines are located and the availability of accessible toilets that cater to those with mobility impairments can help improve independence in toileting among older adults.

Design and thermal–optical evaluation of an optical window module for a near-space remote sensor under ultra-high temperature conditions

Under hypersonic flight conditions, the optical window external surface of a near-space remote sensing system generates a large thermal load due to aerodynamic friction, resulting in serious additional contact thermal stresses and deformation of the flat window. Consequently, the imaging performance of the optical remote sensing system (ORSS) is reduced. To overcome this issue, a flexible support combination structure (FSCS) for an optical window suitable for ultra-high temperature conditions was developed in this study, which ensures the optical imaging quality requirements of the system. Based on the external thermal environment characteristics of a hypersonic aircraft, an aerothermal simulation model of the aircraft with a window component was established. More importantly, the FSCS was optimized and a thermal–structural model of the window component was established, and the opto-mechanical-thermal analysis method was proposed for the ORSS. Finally, the thermal-optical properties of the deformed window were evaluated. The results show that the optimized window component satisfies the optical imaging design requirements, which guides engineers in ultra-high temperature thermal analysis and optical imaging.

The study on the impact of environmental regulation on ecological innovation: considering the joint action of internal and external factors

Purpose The impact of environmental regulations on ecological innovation is a contested issue in current research. However, there is no uniform consensus on existing conclusions. It is commonly accepted among scholars that external environment and organizational characteristics are key factors affecting ecological innovation. However, these are often analyzed in isolation, without consideration of the interaction between leadership and external environment. So this study aims to explore the impact of environmental regulation on ecological innovation by combining internal and external factors. Design/methodology/approach Based on institutional theory and leadership theory, this paper takes environmental regulation as the independent variable, environmental leadership as the intermediary variable and intellectual property protection level as the regulating variable to explore the impact mechanism of environmental regulation on ecological innovation. Findings The findings indicate an inverted U-shaped relationship between environmental regulation and ecological innovation. Additionally, there is a positive correlation between environmental leadership and intellectual property protection level with ecological innovation. Furthermore, environmental leadership partially mediates the relationship between environmental regulation and ecological innovation. However, the level of intellectual property protection does not have a significant moderating effect on the relationship between environmental leadership and ecological innovation. Originality/value This paper proposes suggestions for regional ecological innovation based on the current policy and research situation to promote its development.

Application of 3D Image Technology in Rural Planning

The well-being of villages and villagers is directly related to the development of urban-rural relations. Rural development is an important part of poverty alleviation, as well as the main goal and means of rural rejuvenation, because rural planning affects rural economic development and rural revitalization. Electronic imaging can improve the speed of rural area planning, and can also model the planned scheme. However, the current rural planning still lacks top-level design, which cannot improve the overall structural design of rural planning, and the data resources of rural planning are not perfect. Therefore, this article studied the direction of rural planning and design by analyzing the focus, problems, and external environment characteristics of rural planning, and then analyzed the application characteristics in rural planning according to the process of 3D image technology. By reducing the complex design links in rural planning, the office efficiency of planning and the 3D visualization of planning model can be promoted, so as to improve the effect of rural planning and the construction service of rural planning. The simulated annealing algorithm showed that the planning efficiency and average planning speed of 3D image application in rural planning were gradually increasing; the average planning efficiency was about 1.80, and the average planning speed was about 1.05. The planning efficiency increased by 1.20 in the whole process, while the average planning speed increased by 0.33 in the whole process. Through comparison, it can be seen that the planning rationality of rural planning under 3D image was 12.16% higher than the original one, while the measurement error rate of some teachers was 47.28% lower. In a word, 3D imaging and electronic imaging can improve the architectural design and layout planning of rural planning.

Current state of medical tourism services in the Moscow agglomeration

The article discusses the main problems of providing services in the Moscow agglomeration. An assessment of the current situation regarding the provision of medical tourism services was carried out. The characteristics of internal and external environment for the implementation of medical tourism services, directions for using existing opportunities to prevent threats have been identifi

The Effect of Digital Green Strategic Orientation On Digital Green Innovation Performance: From the Perspective of Digital Green Business Model Innovation

Digital technology is gradually penetrating into all kinds of business of green innovation and green development. However, China’s industrial Internet technology foundation is weak. Scholars’ researches on the impact of digital green strategic orientation (DGSO) on digital green innovation performance (DGIP) and the intermediary role of digital green business model innovation (DGBMI) is relatively backward. Therefore, it is particularly important to divide the dimensions of DGSO from the perspective of DGBMI to describe the mechanism of DGIP. In this study, multiple regression approach was used to test the effect of DGSO on DGIP. The mediating role of DGBMI was explored through 562 questionnaires. In addition, the study divides the DGSO into three dimensions: green market orientation (GMO), digital green technology orientation (DGTO), and government orientation. DGBMI is divided into two dimensions: efficiency type and integration type. The results are as follows. (1) GMO, DGTO and government orientation all have positive effects on the improvement of DGIP. (2) GMO has a greater impact on integration DGBMI (IDGBMI). The influence of DGTO on efficient DGBMI (EDGBMI) is more significant. (3) Government orientation has a positive impact on EDGBMI. The influence of DGSO on DGIP can be realized through the intermediary role of EDGBMI and IDGBMI. The essence of this research is to help enterprises understand the characteristics of internal and external environment and make digital-green strategy-oriented choices to improve their DGIP. This study has a certain theoretical contribution to elucidating the influence of DGSO on DGIP and the mediating role of DGBMI. This study also provides a practical basis for enterprises’ digital green innovation practice based on their own environmental optimization and matching of DGSO to improve competitiveness.

Improving Health Equity in Living Donor Kidney Transplant: Application of an Implementation Science Framework

Interventions to improve racial equity in access to living donor kidney transplants (LDKT) have focused primarily on patients, ignoring the contributions of clinicians, transplant centers, and health system factors. Obtaining access to LDKT is a complex, multi-step process involving patients, their families, clinicians, and health system functions. An implementation science framework can help elucidate multi-level barriers to achieving racial equity in LDKT and guide the implementation of interventions targeted at all levels. We adopted the Pragmatic Robust Implementation and Sustainability Model (PRISM), an implementation science framework for racial equity in LDKT. The purpose was to provide a guide for assessment, inform intervention design, and support planning for the implementation of interventions. We applied 4 main PRISM domains to racial equity in LDKT: Organizational Characteristics, Program Components, External Environment, and Patient Characteristics. We specified elements within each domain that consider perspectives of the health system, transplant center, clinical staff, and patients. The applied PRISM framework provides a foundation for the examination of multi-level influences across the entirety of LDKT care. Researchers, quality improvement staff, and clinicians can use the applied PRISM framework to guide the assessment of inequities, support collaborative intervention development, monitor intervention implementation, and inform resource allocation to improve equity in access to LDKT.

How to predict the entry mode of international construction contractor: a case-based reasoning approach

PurposeThis study aimed to identify a specific taxonomy of entry modes for international construction contractors and to develop a decision-making mechanism based on case-based reasoning (CBR) to facilitate the selection of the most suitable entry modes.Design/methodology/approachAccording to the experience orientation of the construction industry, a CBR entry mode decision model was established, and based on successful historical cases, a two-step refinement process was carried out to identify similar situations. Then the validity of the model is proved by case analysis.FindingsThis study identified an entry mode taxonomy for international construction contractors (ICCs) and explored their decision-making mechanisms. First, a two-dimension model of entry mode for ICCs was constructed from ownership and value chain dimensions; seven common ICC entry modes were identified and ranked according to market commitment. Secondly, this study reveals the impact mechanism of the ICC entry mode from two aspects: the external environment and enterprise characteristics. Accordingly, an entry mode decision model is established.Practical implicationsFirstly, sorting out the categories of entry mode in the construction field, which provide an entry mode list for ICCs to select. Secondly, revealing the impact mechanism of ICC entry mode, which proposes a systematic decision-making system for the selection of ICC entry mode. Thirdly, constructing a CBR entry mode decision-making model from an empirical perspective, which offers tool support and reduces transaction costs in the decision-making process.Originality/valueThe study on entry modes for ICCs is still in the preliminary exploratory stage. The authors investigate the entry mode categories and decision-making mechanisms for ICCs based on Uppsala internationalization process theory. It widens the applied scope of Uppsala and promotes cross-disciplinary integration. In addition, the authors creatively propose a two-stage retrieval mechanism in the CBR model, which considers the order of decision variables. It refines the influence path of the decision variables on ICCs' entry mode.

Simulating of human physiological supersystems: interactions of cardiovascular, thermoregulatory and respiratory systems

Special quantitative model of the human thermoregulatory system (MTS) functioning with cardiovascular and lung systems is created. These systems form a human physiological supersystem (HPSS). MTS describes thermoregulatory responses to alterations of both external environmental physical characteristics and internal biological characteristics. Algorithms provide designing of scenarios including simulation of either short-time or long-time (hours or days) observations. Input data include different combinations of environmental variables (air or water temperature, air humidity, wind or water flow speed, light intensity, infrared radiation) for a naked or wear human, as well as for given dynamics of biological characteristics (rate of heat production including its components associated with metabolism and ATP molecules leasing during mental and physical activities). Human body is presented by a core, blood, and a skin compartments. Skin and lung evaporation are under hypothalamic control based on afferent impulse patterns from internal, and skin heat and cold receptors. Dynamic output data include blood, hypothalamic, and skin temperatures, hemodynamic parameters like heart rate, cardiac output, regional blood flows, vascular resistances, blood pressures, and regional blood volumes. Serotonin and melatonin concentrations modulating biological heat production rate are associated with a day/night light intensity. Currently, the PCbased simulator is autonomous software to be used both for educational purposes and for providing of special computer research. In a near future, this simulator has to be widened by models of kidneys, and a mechanism of liverpancreas interaction.

Disentangling the role of environmental filtering and biotic resistance on alien invasions in a reservoir area.

Large-scale water conservancy projects benefit human life but have modified the landscape and provided opportunities for alien plant invasions. Understanding the environmental (e.g., climate), human-related (e.g., population density, proximity to human activities), and biotic (e.g., native plant, community structure) factors driving invasions is essential in the management of alien plants and biodiversity conservation in areas with intense human pressure. To this end, we investigated the spatial patterns of alien plant species distribution in the Three Gorges Reservoir Area (TGRA) of China and distinguished the role of the external environment and community characteristics in determining the occurrence of alien plants with differing levels of known invasion impacts in China using random forest analyses and structural equation models. A total of 102 alien plant species belonging to 30 families and 67 genera were recorded, the majority being annual and biennial herbs (65.7%). The results showed a negative diversity-invasibility relationship and supported the biotic resistance hypothesis. Moreover, percentage coverage of native plants was found to interact with native species richness and had a predominant role in resisting alien plant species. We found alien dominance was mainly the result of disturbance (e.g., changes in hydrological regime), which drove native plant loss. Our results also demonstrated that disturbance and temperature were more important for the occurrence of malignant invaders than all alien plants. Overall, our study highlights the importance of restoring diverse and productive native communities in resistance to invasion.

High-risk group and functional subtypes of non-suicidal self-injury in young adults with mental disorders.

Identifying high-risk groups of non-suicidal self-injury (NSSI) with multiple risk factors and different functional subtypes contribute to implementing person-centered interventions. We investigated NSSI profiles among a sample of 258 psychiatric inpatients aged 18-25 years. All participants completed well-validated measures of internal personal and external environmental characteristics. One-hundred and ninety patients reported a lifetime history of NSSI and completed an additional NSSI assessment. A k-means cluster analysis was conducted to extract characteristics of risk factors and functional subtypes. Independent sample t-test, analysis of variance and χ 2 test were used to test the difference of demographic statistical factors, risk factors and functional scores among groups with different frequency of NSSI. The clustering of risk factors analyses supported 4-clusters. The proportion of repeat NSSI patients was the highest (67.1%) in the group with unfavorable personal and unfavorable environmental characteristics. Functional subtype clustering analyses supported 5-clusters. Among patients with repeated NSSI, those with depression were mainly accompanied by the "Sensation Seeking" subtype (39.7%), bipolar disorder mainly supported the "Anti-suicide" subtype (37.9%), and eating disorders were mostly "Social Influence" subtype (33.3%). There was an interaction between functional subtypes and mental disorders. All participants were in treatment in a psychiatric service and the results may not be generalizable to a community sample. The data included retrospective self-report which may be inaccurate due to recall bias. It is necessary to identify high-risk groups of NSSI who with unfavorable personal and environmental characteristics and clinical interventions need to consider the heterogeneity of patients' functional subtypes of NSSI.

Research on Automatic Lane Changing Method for Electric Vehicles Based on Deep Deterministic Policy Gradient Algorithm

Intelligent driving is an important feature of electric vehicles, and automatic lane-changing is an important auxiliary operation in the driving process. It involves complex data such as the external environment, vehicle status, and relationship characteristics of other vehicles. This paper proposes research on automatic lane-changing methods for electric vehicles based on a deep deterministic policy gradient algorithm aiming at the complexity of automatic lane-changing for electric vehicles. First, use the actor-critic model of deep reinforcement learning to realize the design of an automatic lane-changing algorithm. On this basis, the actor-critic model is further improved, and a deep deterministic policy gradient algorithm is proposed and applied to the automatic lane-changing strategy of electric vehicles, which improves the accuracy of automatic lane-changing and thus ensures the safety of vehicle driving.

What Influences Farmers’ Adoption of Soil Testing and Formulated Fertilization Technology in Black Soil Areas? An Empirical Analysis Based on Logistic-ISM Model

Along with the increasing prominence of environmental risks such as soil surface source pollution and declining quality grade of arable land, the issues of how to address irrational fertilizer application and enhance the safety of agricultural products have attracted widespread attention. In this context, clarifying the main factors affecting farmers' use of soil testing and formulated fertilization technology (STFFT) can further improve the technology adoption rate and fertilizer utilization efficiency, promote standardized agricultural production and maintain the health and stability of soil ecology in black soil areas. This is of great significance to the construction of green agriculture, national dietary health and national food security. This study builds an "external environmental stimuli-perceived characteristics-adoption behavior" theoretical framework to investigate the decision-making and the dynamic influence mechanisms of farmers' adoption behavior of STFFT. Based on farmer survey data, the logistic-ISM model has been applied. The main findings are as follows. First, five types of influencing factors, namely individual characteristics, family characteristics, business characteristics, cognitive characteristics and external environmental characteristics, had significant "push" effects on farmers' STFFT adoption behavior. Among them, planting scale and technical training are the key factors influencing farmers' adoption of scientific fertilizer application technology. Second, both farmers' perceived ease of use and perceived usefulness play a significant role in farmers' decision-making process, and the easier farmers perceive STFFT to be to master and the greater the benefits it brings, the more pronounced the tendency to adopt the technology, all other influencing conditions being equal. Third, the main influencing factors of farmers' STFFT adoption behavior are intrinsically related and divided into four categories based on the magnitude of influence: deep-rooted, medium indirect, shallow indirect and superficial direct. In order to reduce further degradation of black soil caused by farmers' irrational production habits and to improve resource utilization efficiency, this study recommends the government to further regulate the land transfer market, strengthen the propagation of soil-conservation-type technologies in black soil areas, expand the breadth of agricultural technology training and enhance farmers' understanding and trust in STFFT. Thus, the maintenance of soil ecosystem in black soil areas, effective guarantee of food security and sustainable development of agriculture can be achieved.

The process approach using for the optimization and risk decreasing of the business marketing activity

The aim of the article. The aim of the article is an investigating process approach inoculation advantages for the risk decreasing and sales policy enterprise optimization. Analyses results. It was considered the main organization management approaches and the application features in the article. The strategy choice is determined by management goals, the period of application, making management decisions time, the tasks’ difficulty, the senior management qualification, the organization status during the time of decision-making, and the internal and external environment characteristics. In conditions of the variability increasing and environment complexity, the process way allows to ensure the organization flexibility and adaptability, eliminate interfunctional barriers, and increase interest in client satisfaction. It involves to the management through the business implementation processes as a sequential logical actions for processing resources into a product or service that satisfies the needs of internal or external consumers. The main, auxiliary, management business processes and development business processes are distinguished by their influence on value formation. The sequence of process management implementation consists in carrying out a strategic analysis, developing an organization strategy, setting priorities, compiling a register of business processes, establishing their goals and metrics. Also, a necessary component is the owners’ determination and limits of business processes, the creation of a planning and controlling system, a detailed description and documentation of business processes. The management of the organization makes possible to identify and timely eliminate such mistakes as the duplication presence, redundant functions, lack of information, violations in its transfer or information creation that is not used, inconsistency of interfaces, low productivity or business process isolation. The need to model sales activity is determined by the creating the organization's value chain role. Providing value to the consumer is realized through the sale of the company's products or services, which is one of the main business processes. The article examines the external and internal factors of influence on the formation of the company's marketing sales policy, the factors that determine the level of the quality, complications that may arise in the absence of business processes automation. Conclusions and directions for further research. The further development of company's marketing sales policy involves the progressive techniques using and sales process organizing methods with the help of automatic data recording and the creation of a customer contact center that has an interactive virtual customer reply and includes: the creation and development of the distribution ways structure and the system management; the sales methods option for different product groups and geographic markets; the security of the funds influx for the overturn products and services. All these activities influence to the predictability of the organization's working results increasing and business risk decreasing. The most difficult automating business processes creating problem is the processes decomposition of the upper conceptual level into the comprehensive work operation with the logical mistakes avoidance. Further theoretical investigation thereupon consists in the idea of the management procedure model agreement and the implementation model reasoning course, which is achieved through the process mining modeling strategy implementation and description of the enterprise's sales activity business processes

Facilitators and barriers to real-life mobility in community-dwelling older adults: a narrative review of accelerometry- and global positioning system-based studies.

Real-life mobility, also called “enacted” mobility, characterizes an individual’s activity and participation in the community. Real-life mobility may be facilitated or hindered by a variety of factors, such as physical abilities, cognitive function, psychosocial aspects, and external environment characteristics. Advances in technology have allowed for objective quantification of real-life mobility using wearable sensors, specifically, accelerometry and global positioning systems (GPSs). In this review article, first, we summarize the common mobility measures extracted from accelerometry and GPS. Second, we summarize studies assessing the associations of facilitators and barriers influencing mobility of community-dwelling older adults with mobility measures from sensor technology. We found the most used accelerometry measures focus on the duration and intensity of activity in daily life. Gait quality measures, e.g., cadence, variability, and symmetry, are not usually included. GPS has been used to investigate mobility behavior, such as spatial and temporal measures of path traveled, location nodes traversed, and mode of transportation. Factors of note that facilitate/hinder community mobility were cognition and psychosocial influences. Fewer studies have included the influence of external environments, such as sidewalk quality, and socio-economic status in defining enacted mobility. Increasing our understanding of the facilitators and barriers to enacted mobility can inform wearable technology-enabled interventions targeted at delaying mobility-related disability and improving participation of older adults in the community.Supplementary InformationThe online version contains supplementary material available at 10.1007/s40520-022-02096-x.

What Shapes Innovation Capability in Micro-Enterprises? New-to-the-Market Product and Process Perspective

Innovation is an essential driver of companies’ growth and is important in securing and sustaining their competitive advantage and in the implementation of their entire strategies. In this process, a special role is played by companies’ capabilities, especially those related to innovation capability (IC). Despite many years of research into identifying the factors that influence IC, there are still many research gaps. One such concerns the IC of micro-enterprises. Only a few studies indicate certain factors that may affect micro-enterprise ICs. Thus, this article aims to analyse the determinants of micro-enterprises’ ICs from the perspective of implementing new-to-the-market product and process innovations. The theoretical framework adopted distinguishes between three groups of factors affecting micro-enterprise IC: personal, organizational and external environmental characteristics. The data examined come from an empirical study of a randomly selected representative sample of 1105 Polish micro-enterprises. To analyse these data, a logistic regression model was used. The results indicate that seven factors are common and significant determinants that explain the new-to-the-market product and process dimensions of micro-enterprise IC. Among them, the following have the greatest influence: engagement in initiatives for solving social problems, intensive cooperation with research centers, experience/skills and financial support.