Innovative Measures Research Articles

Implementation of digital innovation on sustainability performance: the moderating role of green accounting in the industrial sector

Innovation is the solution that allows digital transformation to be implemented in many industrial sectors. With digital innovation, companies can move more freely in achieving sustainability performance, because digitalization is a cross-border discipline. Empirical studies that directly link digital innovation, sustainability and accounting are still very limited. To fill this gap, this study aims to examine the role of green accounting in the influence of human capacity building, digital innovation, and sustainability strategy on sustainability performance. This study employs quantitative content analysis on the annual reports and sustainability in the industrial sector listed on the IDX 2021–2022, comprising a total of 792 observational data using the PLS. The research results indicate that an increase of 32 % in human capacity building, 14 % in digital innovation and 12 % in sustainability strategy has a significant impact on sustainability performance. Another finding shows the results that green accounting is only able to strengthen the influence of digital innovation on sustainability performance and the rest weakens and does not even have a role as a moderating variable. The implications of this study are theoretically the development of new measures of digital innovation for the industrial sector. The practical implications suggest that to enhance sustainability performance, digital innovation is needed, starting from a pervasive digital culture extending to various aspects, including digital products, services & solution, digital supply chains, and digital accounting. The implications of implementing green accounting for industries indicate a 6.9 percent increase in the influence of digital innovation on sustainability performance

New product announcements, innovation disclosure, and future firm performance

AbstractThis study examines the properties of innovation disclosures contained in new product announcements, a form of voluntary, nonfinancial disclosure. We analyze these properties using a novel, text-based measure of the extent of product innovation disclosed in new product announcements. We find that stock prices react more positively to announcements with more extensive innovation disclosure. In our main analyses, we first find that a higher level of innovation disclosure predicts a greater increase in future sales. We further find that this predictive ability falls when managers have stronger incentives to maximize their wealth and when the corporate governance structure and customers’ bargaining power weaken. Our research enhances the understanding of the properties of managerial voluntary, nonfinancial disclosures and contributes a text-based measure of innovation that captures managerial assessment of the extent of product innovation. This new measure is more generalizable and incrementally informative for firm value and future performance than conventional innovation measures that depend on the existence of patents or research and development expenses.

Revisiting the Porter hypothesis: a multi-country meta-analysis of the relationship between environmental regulation and green innovation

Although large numbers of studies have examined the Porter hypothesis, one important issue that remains to be addressed is that why past studies give rise to mixed results. By filling this knowledge gap, our research aimed to provide a fuller picture of the Porter hypothesis. By using the method of meta-analysis, including a total of 58 papers across the world, the findings showed that (1) the overall Porter hypothesis was confirmed—that, in general, environmental regulation had a positive effect on green innovation; (2) by decomposing environmental regulatory types and measures of green innovation, it validated the ‘narrow’ version of the Porter hypothesis—that flexible environmental regulation could foster innovation. Especially, we found the command and control regulation had shown its highest consistency and effectiveness in driving green innovation, whereas voluntary regulation had the highest level of flexibility among all regulatory measures; (3) we also found that heterogeneities of the results were attributed to country type and level of analysis. Overall, by integrating studies with large sample sizes and identifying variations among studies, we offered a comprehensive understanding of the mixed results of the Porter hypothesis and generated more precise and generalizable conclusions than the past studies.

The “here and now” effect: JoMO, FoMO and the well-being of social media users

PurposeThe rapid growth of social media has changed how people interact and connect with one another while also giving rise to new social-media associated psychological experiences, such as the well-known fear of missing out (FoMO) and the somewhat new phenomena, the joy of missing out (JoMO). This study aims to develop a new scale for measuring JoMO and explore its independent nature and relationships with well-being, social comparison and demographic variables.Design/methodology/approachA sample of 230 participants filled out an online survey, including questions about demographic details, well-being, social media engagement, social comparison, FoMO and a new JoMO scale. The data was analyzed using exploratory factor analysis, hierarchical regression and structural equation modeling.FindingsThe study confirmed the validity and reliability of the new JoMO scale in three sub-categories: active JoMO, passive JoMO and coping with disconnection. Younger individuals and those who were single, with weaker psychological well-being, higher engagement in social media and greater social comparison inclinations tended to experience higher levels of FoMO. Conversely, older individuals, women and those who enjoyed stronger psychological well-being and reduced social media engagement demonstrated higher levels of JoMO. The findings also suggest a complex relationship between FoMO and JoMO.Practical implicationsThe creation of an innovative JoMO measurement tool could transform both scholarly research and practical approaches to digital media interactions. This tool offers a deeper understanding of the intricate links between JoMO and factors such as social comparison and FoMO, paving the way for targeted interventions. By utilizing this, experts can foster healthier online behaviors and better psychological health through increased JoMO consciousness, reduced social media engagement and social comparisons, and FoMO management. Therefore, this fresh instrument assists in clarifying and improving how individuals engage with digital technology.Originality/valueThis research validates the JoMO scale, enhancing our understanding of JoMO and its potential effects on well-being, as well as its associations with other variables. In addition, this research provides valuable insights for future studies on social media use and JoMO, and for developing effective strategies for managing healthier online experiences.

Lean vs agile project management in construction: impacts on project performance outcomes

PurposeThe present research aims to investigate how lean project management (LPM) and agile project management (APM) affect project performance outcomes in the construction sector in Jordan. This study focuses on six key project performance outcomes, namely cost, time, quality, client satisfaction, innovation and responsiveness.Design/methodology/approachThe present study employed a quantitative approach to achieve the research objectives. Accordingly, a multi-item survey questionnaire was prepared to gather data from 392 project managers from construction companies in Jordan. The study’s model showed acceptable levels regarding reliability, validity, fit indices and discriminant validity. In order to test the hypotheses of this study, path analysis was employed using Amos 24.0 software.FindingsLPM demonstrated a remarkably high positive impact on cost performance. It also positively affected quality performance and client satisfaction. However, LPM insignificantly affected time, innovation and responsiveness performance measures. On the other hand, APM showed a notably high positive impact on innovation and responsiveness. The findings also revealed that APM positively impacted quality performance and client satisfaction. In addition, APM negatively impacted cost performance and insignificantly impacted time performance.Originality/valueThis study is one of the first comprehensive studies to empirically examine the impact of both LPM and APM on various project performance outcomes in the construction industry in the context of a developing country. It reveals some similarities and differences between LPM and APM with regard to their impacts on project management outcomes. The findings are expected to guide managers in selecting the appropriate project management approach based on the desired performance outcomes. Accordingly, it offers important implications for project managers in construction companies.

Abstract WP267: The Impact of Anesthetic Agents on Regional Cerebral Blood Flow During Carotid Artery Clamping in Patients With Debranching Thoracic Endovascular Aortic Repair and Carotid Endarterectomy

Background: Carotid endarterectomy (CEA) and debranching thoracic endovascular aortic repair (debranching TEVAR) would lead to the reduction of cerebral blood flow (CBF) during carotid artery clamping. Intravenous anesthetics decrease CBF more than volatile anesthetics and may exacerbate cerebral hypoperfusion during carotid artery clamping. We have developed an innovative quantitative measure of regional cerebral blood flow (rCBF) that can be performed at the bedside using near-infrared spectroscopy (NIRS). Using this technique, we measured rCBF during CEA and TEVAR to determine the optimal anesthetic for carotid artery clamping. Methods: Patients undergoing debranching TEVAR and CEA were enrolled. We used NIRS and intravenous injection of Indocyanine green (ICG) to measure rCBF before carotid artery clamping, 10 minutes after clamping, and after de-clamping. The rCBF was calculated by Fick’s principle, using the maximum gradient model that combines the peak values and change in arterial blood concentration of ICG in the brain tissue. We evaluated the effects of each anesthetic (intravenous and volatile) on the rCBF of the cross-clamp side of the carotid artery. Results: The results of the intermediate analysis are shown below. Thirty-two patients who underwent debranching TEVAR and twenty-six who underwent CEA were enrolled. In patients who underwent debranching TEVAR, the rCBF increased from 48.4 to 53.5 ml/min/100g in patients anesthetized with volatile anesthetics and decreased from 55.1 to 32.8 ml/min/100g in patients anesthetized with intravenous anesthetics, as shown in the Figure. There was a significant difference between both anesthetics (p=0.034) but no significant difference between both anesthetics with CEA (p=0.93). Conclusion: In patients undergoing debranching TEVAR, volatile anesthetics may be preferable to intravenous anesthetics during carotid clamping.

Pengaruh Inovasi Produk pada Kinerja Keuangan dengan Adopsi Teknologi di Perusahaan XYZ di Indonesia

The paper focuses on the impact of product innovation on financial performance. Adoption of technology plays a crucial role in driving product innovation. Measurement of product innovation is done using Likert scale with four indikators. Measurement of technology adoption is done using Likert scale with five indikators. Financial performance is measured using liquidity, solvency, profitability, and activity ratios. The study examines the impact of product innovation on financial performance. Adoption of technology and innovation in products can improve financial performance. The findings provide a basis for companies to focus on innovation and technology adoption. Practical implications include expanding innovation initiatives and investing in human resources. The study has limitations in terms of specific company context and aspects studied.

Application Research of Vector Flow Technique on Convex Array Ultrasonic Probe of Abdomen

Vector flow imaging (VFI) is an innovative ultrasound flow measurement technology. Compared with the traditional color Doppler and spectral Doppler, VFI has the advantages of independence of angle correction and direct acquisition of real-time amplitude and direction of flow. Transverse oscillation (TO) method is one of the effective methods for vector flow imaging. However, a complete and detailed algorithm validation process based on commercial ultrasound machines is still lacking due to more complex convex probes. This study starts with introducing the imaging process and principle of transverse oscillation vector flow technique, and calculates the error between the set velocity value and the measured velocity value through the simulation experiment, and verifies the error between the set velocity value and the measured velocity value through the Doppler flow phantom experiment. Among them, the velocity value measured by the TO vector flow technique in the simulation experiment is 0.48 m/s and the preset value is 0.50 m/s, the error between them is -4%. The velocity values are 8.33, 11.14, 14.44 and 16.67 cm/s measured by the Doppler flow phantom experiment, the actual velocity values are 7.97, 10.78, 14.06 and 17.34 cm/s, the errors between them are all within ±5%. Both experiments verify the feasibility of using vector flow technique on abdominal convex probe.

Innovative strategies and measures are required for effective prevention and control of the obesity epidemic and for promoting healthy lifestyles

Innovative strategies and measures are required for effective prevention and control of the obesity epidemic and for promoting healthy lifestyles

Thriving in Constraints: Exploring the Interplay of Human Capital, Social Capital, and Financial Constraints in Frugal Innovation within Family Businesses

This study aims to learn the impact of human capital, social capital, and financial constraints on frugal innovation as perceived by family businesses in the Philippines. Quantitative research was performed using data collected from 93 family businesses, which were analyzed using simple linear regression and structural equation modeling. The results showed that human capital, social capital, and financial constraints, individually and collectively, have a significant impact on frugal innovation. The results also indicated that all measures used for human capital and financial constraints are acceptable, while some measures of social capital and frugal innovation were deemed unfit and were removed from the model. The academe should expand or improve its discussion and curriculum on frugal innovation and continue to look at this through the lenses of its theoretical and practical aspects. Moreover, professors and students should study the relationship further and ultimately expand knowledge and understanding. Family businesses should prioritize improving their human capital to enhance their frugal innovation capabilities. Implementing efficient financial procedures, investigating alternative funding sources, and actively seeking external finance opportunities are crucial. Moreover, family businesses should develop robust social networks. Lastly, the Philippine government should actively encourage continuous learning through mentorship programs and networks.

Innovative measurement, trade-off-synergy relationship and influencing factors for agricultural net carbon emissions and effective supply of agricultural products in China

Sensitive zone of global climate change has been formed in China, and it has become a hot topic how can agriculture ensure food security and the supply of important agricultural products while achieving the “Dual Carbon” goal in the country. Based on such background, this paper uses the IPCC carbon emission calculation method, environmental input-output model and economic-water-carbon coefficient method to measure agricultural net carbon emissions, adopts bivariate spatial auto-correlation analysis and SYS-GMM to explore separately the relationship between agricultural net carbon emissions and effective supply of agricultural products, as well as the carbon reduction effect, growth effect and reasonable range of green technology innovation. The results show that: (1) China's agricultural net carbon emissions reveal a spatial distribution of “higher in the east than in the west than in the center” and a temporal characteristic of increasing year by year; China's effective supply of agricultural products shows an increasing trend and a spatial distribution of “higher in the east than in the center than in the west” in 2006–2012 and “higher in the east than in the west than in the center” in 2013–2020. (2) In 2006, 2010, 2015 and 2020, the number of provinces that belong to low-low agglomeration trade-off zone, low-high agglomeration synergy zone, non-significant zone, high-low agglomeration non-trade-off-synergy zone and high-high agglomeration trade-off zone averagely accounted for 12.500 %, 30.000 %, 26.667 %, 9.167 % and 21.667 % of the totality, respectively. (3) The carbon reduction and production growth effects of green technology innovation both show an inverted “U-shape”, and green technology innovation is conducive to both reducing agricultural net carbon emissions and improving supply of agricultural products when it is within a reasonable range of greater than 0.930. (4) Green technology innovation not only has significant spatial and temporal heterogeneity impact, but also exhibits a differential effect on productive agricultural carbon emissions, agricultural trade carbon emissions, agricultural carbon sinks, total output of agricultural products and agricultural net imports in international trade. Therefore, it is proposed that China should establish and improve green technology innovation incubation platforms, guide all participants to ensure the investment and application of green technology products within a reasonable range, formulate and implement regional differential policies and plan in accordance with local conditions, drive ultimately coordinated promotion of agricultural carbon emission reduction and product supply guarantee and lay an important foundation for achieving high-quality economic development and efficient ecological protection.

Eco-Innovation, Reducing Carbon Emission and its Impact on Firm Performance (Case Study in Pt Semen Indonesia)

Objective: This research was conducted at PT Semen Indonesia Gresik aims to determine the extent of the application of eco-innovation in the company and the extent of the role of management in implementing eco-innovation. This study wants to find out whether the application of eco-innovation carried out at PT Semen Indonesia is able to reduce carbon emissions which is the government's commitment to reduce carbon emissions to the level of 29% by the end 2030. Theoritical Framework: The impact of environmental degradation and environmental externalities becomes a concentration of attention on social issues that encourage companies to pay attention to their business practices and find solutions to the impacts the environment it causes. Resource-Based View Theory (RBV) is a managerial framework used to define strategic resources with the potential to provide a comparative advantage to company. These resources can be leveraged by companies to achieve sustainable competitive advantage. Innovation theory addresses a number of innovation policies and measurement issues such as why companies innovate, what forces drive innovation and what factors hinder it. Related issues are the internal functioning of the company and the types of business practices used to promote innovation. Method: This research uses a qualitative approach inspired by research of Horbach (2008) and Triguero et al. (2013), which proposes three types of eco-innovation: eco-process, eco-product, and eco-innovation organization, but in this study using four types of eco- Innovations as listed in the Oslo manual developed by the Organization for Economic and Cooperative Development (OECD) are: eco-innovation organizations, eco-innovation products, eco-process innovation, and eco-marketing innovation. Data collection techniques carried out in this study include interviews, observations, documentation studies on emission reports and sustainability reports. The data were analyzed by case study research process stated by Creswel (2007). Findings: PT Semen Indonesia has implemented various programs in the context of efforts to reduce greenhouse gas emissions, namely through several programs, namely: (1) Diversification of blended cement products use of clinker which will reduce the emission of CO2 gas (carbondioxide) produced; (2) Utilization of alternative fuels using biomass products, also processing municipal waste into alternative fuel at the Ngipik Gresik landfill; (3) Utilization of flue heat gas operations as power plants which has been implemented at the Tuban plant and is able to reduce CO2 by 130,000 tons per year; (4) Upgrade/Improve equipment (high efficiency tech) Implications: This research has implications that the application of eco-innovation will be able to reduce carbon emissions, which is the Indonesian Government's commitment to reduce carbon emissions by the end of 2030.

A Novel Trigonometric Entropy Measure Based on the Complex Proportional Assessment Technique for Pythagorean Fuzzy Sets

The extension of intuitionistic fuzzy sets (IFS) to Pythagorean fuzzy sets (PFS) is a significant advancement, addressing the inherent limitations of IFS. This study introduces a novel entropy measure specifically designed for Pythagorean fuzzy sets, establishing its axiomatic definition and presenting key properties. Decision making guided by entropy is advantageous, as it effectively mitigates ambiguity with increasing entropy values. Furthermore, a numerical example is provided to facilitate a comparative assessment of our newly introduced entropy measure in contrast to existing PFS entropy measures. The validation of our findings is achieved through the application of the COPRAS method, which determines decision outcomes based on a multitude of influencing factors. Notably, the determination of weights in this method is underpinned by the utilization of our innovative entropy measure.

Effect of partial replacement of aggregate with oil palm shell on compressive and flexural strength of fiber concrete

Considerable innovation has been applied to concrete material to achieve specific properties such as density, strength, environmental sustainability, cost-effectiveness, among others. This study focused on the replacement of a portion of the aggregate with oil palm shell (OPS) to utilize previously underutilized waste. Concrete containing OPS typically exhibits reduced compressive strength compared to standard concrete. To enhance the compressive and flexural strength of OPS-infused concrete, the introduction of fibers was explored as an innovative measure. A particular focus was placed on using fibers from discarded masks due to the Covid-19 outbreak in Indonesia and globally. The non-biodegradable nature of polypropylene fibers in these masks necessitates further measures to minimize waste. Different proportions of OPS were incorporated into the concrete mix: 0%, 25%, 50%, 75%, and 100%, with each mix incorporating 0.20% mask fiber and 0.25% superplasticizer. Compressive strength testing employed cylindrical specimens with a diameter of 75 mm and a height of 150 mm, while flexural strength was assessed using beam specimens measuring 100 x 100 x 500 mm. The baseline compressive strength for concrete without OPS measured 17.76 MPa. The results of flexural strength testing revealed the highest value of 1.67 MPa for the 0% OPS mix and the lowest, 0.49 MPa, for the 100% OPS mix. Statistical analysis via analysis of variance (ANOVA) highlighted a notably significant correlation between the treatment combinations involving compressive strength and the replacement of OPS as coarse aggregate.

Individual differences in children's movement variability in a virtual reality playground task

Children's movements are highly complex, and thus require measurements that capture various gross motor strategies. This study examined whether aspects of individual differences in children's gross motor movement patterns could be captured in virtual reality (VR) and how motor movements could be conceptualized through freezing-freeing patterns of degrees of freedom. To this end, a three-minute VR scenario was developed for children to freely explore, play, and move around without further instructions, and their movement strategies were simultaneously captured by a non-invasive inertial motion capture system. Sixty-four children aged 7–10 (boys: n = 37, girls: n = 27) participated. The results of correlational and principal component analysis (PCA) on measures of variability of upper extremities indicated significant relationships between nearly all measures (r = 0.31–0.69, p < 0.05). Similarly, a PCA on variability from joint movements in the lower extremities indicated relatively high intercorrelations (r = 0.31–0.71, p < 0.01). A pattern of four different variability profiles was indicated in the interrelationship between the upper and lower body. These findings emphasize the value of using innovative measurements and whole-body motion capture to disentangle individual differences in children's movement variability in product- and process-oriented assessments of gross motor competence.

MEASURING UNION FORMALIZATION FOR A NEW GENERATION OF FAMILY DEMOGRAPHY: A CASE STUDY FROM URBAN KENYA.

AbstractDespite repeated calls for improved measures of marriage as a process in sub‐Saharan Africa, large‐scale surveys continue to rely on static marital status. As a result, there is an incomplete understanding of the effects of marriage on outcomes of interest. We use qualitative and survey data from a longitudinal study of 1,203 young mothers residing in informal settlements of Nairobi, Kenya, to (1) describe the development of an innovative measure of union formalization (UF) defined as the steps through which a union attains social legitimacy; (2) compare UF with a conventional current marital status measure; (3) examine the distribution of UF steps across union history; and (4) examine the sequence and timing of pregnancy and childbearing within the UF process. We find UF steps indicative of both increasing individualization of marriage and the ongoing importance of kin involvement hold meaning. We demonstrate extensive heterogeneity in the sequence and extent of UF steps completed and interrogate the classification of premarital childbearing using sequence analysis. We argue that measuring UF is feasible and necessary for the next generation of family demography in Africa; UF measures facilitate understanding the linkages among family dynamics, health, and social stratification within the context of ongoing socioeconomic change.

Ultrasensitive quantum capacitance detector at the edge of graphene

Graphene, with its outstanding electrical properties, has appealed to the attention of researchers all over the world for biosensing applications. So far, much of the research has been conducted on the field-effect modulations of carriers in the basal plane of graphene after adsorbing charged biomolecules. However, another essential aspect--the graphene edge--has been largely ignored due to the difficulties in both manufacture and characterization. Here, we propose a facile intercalation and pressure sintering approach that enables the fabrication and exposure of only graphene edges. The quantum capacitance of the exposed edges is proportional to the local density of state (DOS) and can be harvested for biochemical sensing. Notably, due to fringe electric field enhancement and biomolecular convergence at the one-dimensional graphene edges, we are able to detect four representative amino acids at 0.01 fg/mL concentrations within several minutes. These achievements in innovative quantum capacitance measurements of graphene edges, combined with simple and robust device fabrication by eliminating complex micro-nano processing, offer a new avenue for the next generation of biochemical sensors with ever-demanding sensitivities.

Exploring the Potential of Artificial Intelligence in Adolescent Suicide Prevention: Current Applications, Challenges, and Future Directions

Objective The global surge in adolescent suicide necessitates the development of innovative and efficacious preventive measures. Traditionally, various approaches have been used, but with limited success. However, with the rapid advancements in artificial intelligence (AI), new possibilities have emerged. This paper reviews the potentials and challenges of integrating AI into suicide prevention strategies, focusing on adolescents. Method: This narrative review assesses the impact of AI on suicide prevention strategies, the strategies and cases of AI applications in adolescent suicide prevention, as well as the challenges faced. Through searches on the PubMed, web of science, PsycINFO, and EMBASE databases, 19 relevant articles were included in the review. Results: AI has significantly improved risk assessment and predictive modeling for identifying suicidal behavior. It has enabled the analysis of textual data through natural language processing and fostered novel intervention strategies. Although AI applications, such as chatbots and monitoring systems, show promise, they must navigate challenges like data privacy and ethical considerations. The research underscores the potential of AI to enhance future suicide prevention efforts through personalized interventions and integration with emerging technologies. Conclusion: AI possesses transformative potential for adolescent suicide prevention by offering targeted and adaptive solutions, while they also raise crucial ethical and practical considerations. Looking forward, AI can play a critical role in mitigating adolescent suicide rates, marking a new frontier in mental health care.

Inovativnost poljoprivredno-prehrambenog sektora u funkciji održivog razvoja

Innovation is very important for sustainable development of countries. In agriculture, innovations shift the focus from mere productivity-based technology to the economic, ecological and social aspects of sustainable development. Given that there is no unique framework for measuring innovation in the agri-food sector, and no single conclusion can be drawn as to which country is the most innovative in agriculture, the subject of the paper is the measurement of innovation in the agri-food sector of the most innovative countries and the Republic of Serbia. The aim of the paper is to prove the necessity of introducing innovations in the agricultural sector of the Republic of Serbia, in accordance with the innovations introduced by more agriculturally innovative countries. Innovative approaches such as precision agriculture and others, which are in line with sustainable development, play an increasingly important role in agriculture. The OLS panel regression on the example of innovative countries and the Republic of Serbia proved that the introduction of innovation in agriculture has a positive impact on sustainable development. Only in the case of inputs used in agriculture, this impact was negative, which is why it is important to introduce modern technologies and innovative approaches in order to increase their productivity, optimization and less use. The KruskallWallis test proved that the Republic of Serbia lags behind agriculturally innovative countries, which is why it is important to follow the example of innovative countries in terms of introducing innovative approaches in agriculture and increasing input productivity.

Coordinated Cultivation of Innovative and Entrepreneurial Knowledge and Ability of College Students Based on Markov Modeling

Abstract Evaluating innovation and entrepreneurship ability measurement of college students is one of the critical areas of research on innovation ability cultivation in colleges and universities. In this study, based on the existing Bayesian knowledge tracking model, the parameter matrix of innovation and entrepreneurship knowledge point relationship is added to improve the standard knowledge tracking model. The CS-BKT model is proposed to provide college teachers with detailed mastery of students’ innovation and entrepreneurship knowledge. Then the corresponding state space is delineated according to the mastery situation, and the evaluation model of innovation and entrepreneurship ability measurement for college students based on polymorphic rewarded Markov chain is constructed. Combined with different transfer probabilities, the model operates on student data to measure students’ innovation and entrepreneurship ability. The results of the study showed that there was a significant difference between the acceptance and non-acceptance of innovation and entrepreneurship education in students’ innovation and entrepreneurship competence, and the level of innovation and entrepreneurship competence of students who had accepted it was 3.71, which was higher than that of students who had not taken it (3.53). There is a significant positive correlation between the social level of the place of origin, the individual level of entrepreneurial experience, and the rank of professional achievement and innovation and entrepreneurship ability, with p-values of 0.008, 0.003, and 0.001 respectively are less than 0.01. This study concludes the factors influencing the innovation and entrepreneurship ability of college students, which provides a reference value to the formation and development of the innovation and entrepreneurship ability of the students.