scholarly journals Research on the Influence Mechanism of the Across-Industrial-Chain Investment Speed on Innovation Performance of AI Enterprises: Improvement Path of Artificial Intelligence Technology Application

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yan Chen ◽  
Fan Si ◽  
Xiying Lu ◽  
Xin Li

This paper presents a regression analysis by using the system generalized method of moments (SYS-GMM) model as the main regression model and combining it with the fixed effect of panel data and acquires the basic empirical research data from Wind database. The research shows that the speed of cross-industrial-chain investment can improve the innovation ability of AI enterprises, and AI enterprises with deep technology accumulation can improve their innovation performance in the rapid across-industrial-chain investment. In this paper, an across-industrial-chain investment decision path model for AI enterprises is proposed for the first time, suggesting that AI enterprises should pay attention to the related factors of industry and AI enterprises when making across-industrial-chain investment decisions. This helps to express the determination of investment, integration, and reconstruction to the target AI enterprises, and it can also facilitate fast across-industrial-chain investment and improve the innovation performance of AI enterprises.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weihua Liu ◽  
Jiahui Zhang ◽  
Siyu Wang

PurposeThis study explores the influencing factors affecting smart supply chain innovation (SSCI) performance of commodity distribution enterprises, and proposes the corresponding framework from the perspective of the application of technology to improve the SSCI performance and make up the research gap in this field.Design/methodology/approachA multi-case study method is adopted in this study. Four distribution commodity distribution enterprises A, B, C and D in China are chosen as case enterprises. The interviews with senior management team members are used to collect data. The combination of open coding and axial coding are used to process the data. By testing the reliability and validity, the theoretical framework is summarized.FindingsFirst, we find that the technology application cost inhibits SSCI and that the level of technology suitable for enterprise development will promote SSCI. Second, SSCI in structure, management and services can improve the performance and innovation ability of enterprises. Third, the quality of multi-channel integration and degree of customization around customer demand can significantly modify the above effects.Originality/valueCompared with previous studies, this study reveals for the first time the correlation between the SSCI performance and technology application, SSCI in structure, management and service, providing new ideas for relevant researches on SSCI, and providing new theoretical support for managers' decision-making related to SSCI.


2020 ◽  
pp. 097215091987537
Author(s):  
Jiban Kumar Parida ◽  
Vishal Vyas

The study aims to extract the main determinants of governance index in relation to regulatory and legal framework, which influence the performance of investors in larger way. The driver of governance factors has been studied and tested empirically by using factor analysis method (Exploratory Factor Analysis). To achieve this, Quantitative data have been collected by distributing questionnaire to a suitable sample size of 317 respondents who have at least 3 years of investment experience in Indian stock market and data collection period was over last 6 month of 2017. For preparing the questionnaire, the study considers the corporate governance index scale by Standard & Poor’s agency which was worldwide accepted. The study provides a useful direction to retail investors, investment professionals/planners and companies regarding the knowledge about governance-related factors that are specific to the causal effect between mentioned governance construct and market returns. Further it implies that good governance system helps investors during their investment decision-making process particularly in emerging markets for getting higher return, money protection and deterrence from fraudulent market activities.


2003 ◽  
Vol 8 (4) ◽  
pp. 581-601 ◽  
Author(s):  
George E. Halkos

The purpose of this study is to test empirically the hypothesis of the inverted U-shaped relationship between environmental damage from sulfur emissions and economic growth as expressed by GDP. Using a large database of panel data consisting of 73 OECD and non-OECD countries for 31 years (1960–1990) we apply for the first time random coefficients and Arellano-Bond Generalized Method of Moments (A–B GMM) econometric methods. Our findings indicate that the EKC hypothesis is not rejected in the case of the A–B GMM. On the other hand there is no support for an EKC in the case of using a random coefficients model. Our turning points range from $2805–$6230/c. These results are completely different compared to the results derived using the same database and fixed and random effects models.


2015 ◽  
Vol 25 (1) ◽  
pp. 33-38
Author(s):  
Juozas Raistenskis ◽  
Zdislav Skvarciany ◽  
Romualdas Gurevičius

Declining birth rates, increasing number of diseases and injuries among children, socio-economical change in the situation of the country, as well as other social, health - and economics-related factors are the main reasons for greater interest of scientists in research on the social and health disparities in the counties (municipalities and districts). This paper analyzes the inequalities in first-time recognized children’s disability in counties of Lithuania during the period of 2007-2011. Aim of the study. To analyze incidences of the firsttime recognized children’s disability in Lithuania from 2007 to 2011 and to compare the parameters of the first-time recognized children’s disability incidence in 10 counties, taking into account variability of disability incidence inside the counties. Methods. The study used the data on the initial determination of disability in children, taken from Disability and Working Capacity Assessment Office under the Ministry of Social Security and Labor from 2007-2011. For the usage of further statistical index, the information on the number of citizens was taken from the database of Department of Statistics of the Republic of Lithuania. The indicators were age-standardized using the direct standardization method and the statistical program “WinPepi”. For the variation analysis of country’s regional disparities the One-way ANOVA test was applied. Results. During the analyzed period (2007-2011) in Lithuania some form of disability was found in 10649 children under the age of 18, of whom 6,219 - boys (58,0 percent) and 4,430 - girls (42,0 percent). The largest newly-recognized children’s disability averages in 2007-2011 were found in the region of Šiauliai (43,68 ± 1,70), Panevėžys county (41,55 ± 1,96) and Utena county (41,53 ± 6,27). In boys’ group - Šiauliai county (51,64 ± 1,53), Telšiai county (47,72 ± 10,61), Utena county (46,69 ± 7,83) and Panevėžys county (45,61 ± 2,59). In girls’ group - Panevėžys (37,14 ± 2,31 ), Šiauliai (35,33 ± 2,47), and Utena (36,16 ± 5,11) c o unties. In both girls’ and boys’ groups statistically significant differences (p0.05) in newly recognized children’s disability incidence in the country’s counties were found. Conclusions. The conducted variation analysis of children’s disability at t h e age of 0-17 y.o. in the period of 2007-2011 throughout the country’s counties, revealed inequalities among the counties. The biggest differences in newly determined disability in children in comparison with other counties of the country were found among Šiauliai, Utena, and Panevėžys counties.


2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Yongfeng Qiu

This thesis reviews and fully understands the current situation of J pharmaceutical according to a empirical research,which has been carried out by corresponding investigation and research on the design of questionnaires for Jingfeng Pharmaceutical's investment in innovation resources, the construction of innovation capabilities, digital transformation, innovation environment adaptation and facing, and innovation performance improvement. After research, it is found that there is a lot of space for improvement in the adaptation and facing of the innovation environment of J pharmaceutical, and the construction of innovation ability is also a short board. The digital transformation needs to be broken through urgently. Enhance J pharmaceutical innovation ability, comprehensively build J pharmaceutical innovation ability of culturally, technically, and managerially; Accelerate digital transformation, and then continue to increase the input of key resources, especially the training and introduction of talents, and key facilities. In order to adapt to and face the rapidly changing market environment under the digital economy, J pharmaceutical can improve the corporate performance.


2020 ◽  
Author(s):  
Jeffrey Wardell ◽  
Tyler Kempe ◽  
Karli K. Rapinda ◽  
Alanna N. Single ◽  
Elena Bilevicius ◽  
...  

The COVID-19 pandemic has resulted in massive disruptions to society, to the economy, and to daily life. Some people may turn to alcohol to cope with stress during the pandemic, which may put them at risk for heavy drinking and alcohol-related harms. Research is needed to identify the factors that are relevant for coping-motivated drinking during these extraordinary circumstances to inform interventions. This study provides an empirical examination of coping motive pathways to alcohol problems during the early stages of the COVID-19 pandemic. Participants (N = 320; 54.6% male; mean age 32 years old) were Canadian adult drinkers who completed an online survey assessing work- and home-related factors, psychological factors, and alcohol-related outcomes over the past 30 days, covering a time period soon after the initiation of the COVID-19 emergency response. The results of a theory-informed path model showed that living with children under 18, greater depression, and lower social connectedness each predicted unique variance in past 30-day coping motives, which in turn predicted increased past 30-day alcohol use (controlling for pre-COVID-19 alcohol use reported retrospectively). Income loss was associated with increased alcohol use and living alone was associated with increased solitary drinking (controlling for pre-COVID-19 levels), but these associations were not mediated by coping motives. Increased alcohol use, increased solitary drinking, and coping motives for drinking were all independently associated with past 30-day alcohol problems, and indirect paths to alcohol problems from living with children, depression, social connectedness, income loss, and living alone were all supported. Findings provide insight into coping-motivated drinking early in the COVID-19 pandemic and highlight the need for longitudinal research to establish longer-term outcomes of drinking to cope.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gour Gobinda Goswami ◽  
ARM Mehrab Ali ◽  
Sharose Islam

PurposeThe main purpose of this study is to examine the role of the coronavirus disease 2019 (COVID-19) test on transmission data globally to reveal the fact that the actual picture of transmission history cannot be exposed if the countries do not perform the test adequately.Design/methodology/approachUsing Our World in Data for 212 countries and areas and 162 time periods daily from December 31, 2019, to June 09, 2020, on an unbalanced panel framework, we have developed a panel-based path analysis model to explore the interdependence of various actors of COVID-19 cases of transmission across the globe. After controlling for per capita gross domestic product (GDP), age structure and government stringency, we explore the proposition that COVID-19 tests affect transmission positively. As an anecdote, we also explore the direct, indirect and total effects of different potential determinants of transmission cases worldwide and gather an idea about each factor's relative role in a structural equation framework.FindingsUsing the panel path model, we find that a 1 standard deviation change in the number of tests results in a 0.70 standard deviation change in total cases per million after controlling for several variables like per capita GDP, government stringency and age population (above 65).Research limitations/implicationsIt is not possible to get balanced data of COVID-19 for all the countries for all the periods. Similarly, the socioeconomic, political and demographic variables used in the model are not observed daily, and they are only available on an annual basis.Practical implicationsCountries which cannot afford to carry out more tests are also the countries where transmission rates are suppressed downward and negatively manipulated.Social implicationsCross country collaboration in terms of COVID-19 test instruments, vaccination and technology transfer are urgently required. This collaboration may be sought as an alternative to foreign development assistance.Originality/valueThis article provides an alternative approach to modeling COVID-19 transmission through the panel path model where the test is considered as an endogenous determinant of transmission, and the endogeneity has been channeled through per capita GDP, government stringency and age structure without using any regression-based modeling like pooled ordinary least squares (OLS), fixed-effects, two-stage least squares or generalized method of moments (GMM). Endogeneity has been handled without using any instruments.


2019 ◽  
Vol 2 (2) ◽  
pp. 110-120 ◽  
Author(s):  
Kwangsoo Park ◽  
Jeong-Yeol Park ◽  
Robin M. Back

Purpose The purpose of this paper is to explore the determinants of Marathon event spending by estimated expenditure models. Design/methodology/approach This study analyzes the impact of socio-demographic and travel-context factors on aggregated and disaggregated expenditures by event visitors who participated in the Fargo Marathon in Fargo, North Dakota. Findings The results indicate that event satisfaction does not have an influence on any types of expenditure. As the planning time increases, however, there is a positive effect on total expenditure. First-time visitors are shown to spend more money, especially on food and beverage, lodging and total expenditure. Conversely, the number of past experiences of the event had a negative influence on these expenditure types. Originality/value In addition to travel-related factors and socio-demographic variables, researchers had not examined the influence of repeat visits on travelers’ spending. The originality of this study lies in revealing that repeat visits decrease spending in specific categories, especially in the case of a Marathon event.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Li Li ◽  
Xican Li

PurposeIn order to make grey relational analysis applicable to the interval grey number, this paper discusses the model of grey relational degree of the interval grey number and uses it to analyze the related factors of China's technological innovation ability.Design/methodology/approachFirst, this paper gives the definitions of the lower bound domain, the value domain, the upper bound domain of interval grey number and the generalized measure and the generalized greyness of interval grey number. Then, based on the grey relational theory, this paper proposes the model of greyness relational degree of the interval grey number and analyzes its relationship with the classical grey relational degree. Finally, the model of greyness relational degree is applied to analyze the related factors of China's technological innovation ability.FindingsThe results show that the model of greyness relational degree has strict theoretical basis, convenient calculation and easy programming and can be applied to the grey number sequence, real number sequence and grey number and real number coexisting sequence. The relational order of the four related factors of China's technological innovation ability is research and development (R&D) expenditure, R&D personnel, university student number and public library number, and it is in line with the reality.Practical implicationsThe results show that the sequence values of greyness relational degree have large discreteness, and it is feasible and effective to analyze the related factors of China's technological innovation ability.Originality/valueThe paper succeeds in realizing both the model of greyness relational degree of interval grey number with unvalued information distribution and the order of related factors of China's technological innovation ability.


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