scholarly journals Factors Affecting New Agricultural Business Entities’ Adoption of Sustainable Intensification Practices in China: Evidence from the Main Apple-Producing Areas in the Loess Plateau

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2435
Author(s):  
Zhao Wang ◽  
Jianhong Liu ◽  
Tongsheng Li ◽  
Jing Chao ◽  
Xupeng Gao
Keyword(s):  
Technology Adoption ◽  
Influencing Factors ◽  
Influencing Factor ◽  
Sustainable Intensification ◽  
Relative Advantage ◽  
Organizational Size ◽  
Adoption Decisions ◽  
Agricultural Business ◽  
Business Entities ◽  
Adoption Intention

The unsustainability of China’s agricultural production requires an urgent shift from traditional to more sustainable practices; however, the acceleration thereof remains challenging. New agricultural business entities (NABEs) lead agricultural modernization and strongly guide the application of innovative agricultural technologies and models. Thus, an understanding of the factors that influence NABEs’ adoption of sustainable intensification practices will promote their widespread adoption. We developed a model based on innovation diffusion theory and the technology–organization–environment framework, which can both distinguish the influencing factors at different adoption stages and identify the influencing factors of technology adoption from a multidimensional perspective. The results indicate that differences in regional agroecological endowments emerge as the most important influencing factor. Relative advantage, perceived barriers, and agricultural extension services have a significant effect on adoption intention and decision, but a smaller effect on intention. Management and risk response capacities have a significant positive effect on adoption decisions, but no effect on intention. Meanwhile, organizational size has no effect on adoption intention or decision. Adoption intention significantly positively influences, but only partially explains, adoption decisions. Our findings provide a basis for technology promoters to categorize potential adopters by technology adoption stage and provide targeted strategies to stimulate technology demand.

Unlocking the smart home: exploring key factors affecting the smart lock adoption intention

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stanislav Mamonov ◽  
Raquel Benbunan-Fich
Keyword(s):  
Factor Analysis ◽  
Technology Adoption ◽  
Predictive Value ◽  
Smart Home ◽  
Relative Advantage ◽  
Content Type ◽  
Salient Beliefs ◽  
Home Technology ◽  
Smart Home Technology ◽  
Adoption Intention

PurposeThis study examines the factorial structure of salient user beliefs associated with smart locks. We also examine the predictive value of the identified constructs on the smart lock adoption intention and we evaluate gender differences in the predictive value of the identified constructs.Design/methodology/approachThe study assumes pragmatic epistemological stance and it leverages mixed-methods research design. The research progresses through three stages: belief elicitation, exploratory factor analysis and confirmatory factor analysis within a nomological network. New groups of participants were recruited for each stage of the study.FindingsWe find that while potential adopters express a broad range of perceived benefits and concerns associated with smart locks, only the perceived relative advantage of smart locks vis-à-vis conventional locks in providing safety and security is significantly correlated with adoption intention for both genders. We also find that perceived novel benefits are a significant predictor of the smart lock adoption intention for women, but not for men.Research limitations/implicationsOur results indicate that perceived relative advantage can be the singular critical consideration in the adoption of smart home technologies that replace incumbent solutions. The results also demonstrate that gender-specific models can better capture gender effects that influence technology adoption and use.Practical implicationsSmart home technology vendors would need to convince prospective users that new technology is better than the incumbent solutions on the core affordances of the incumbent technology. Men and women differ in the consideration of novel benefits afforded by novel technologies.Originality/valueThis is among the first studies to examine salient beliefs that affect smart home technology adoption. The findings suggest that the traditional models (TAM, UTAUT) do not capture the key salient beliefs that can influence innovative smart home technology adoption. The study also suggests that gendered models are needed to understand technology adoption in contexts where technology adoption intersects with gender roles.

Agrarian receipts as a tool for the structural transformation of financial and credit relations in the agrarian business of the region

2019 ◽  
pp. 40-53
Author(s):  
Yuliia Nehoda
Keyword(s):  
Comparative Analysis ◽  
Retrospective Analysis ◽  
Structural Transformation ◽  
Pilot Project ◽  
Bank Lending ◽  
Economic Benefits ◽  
Advantages And Disadvantages ◽  
New Instrument ◽  
Agricultural Business ◽  
Business Entities

The subject of the research – is a set of organizational-economic relations arising in the process of structural transformation of financial and credit relations in the agricultural business. The purpose of the article is a retrospective analysis of structural transformations of financial and credit relations in the agricultural business, evaluation of the effectiveness and feasibility of the introduction of agricultural receipts as a new instrument of lending to the agricultural business of the regions. Methodology of work – system-structural and comparative analyzes (to determine the effectiveness of the crediting mechanism according to the agricultural receipts of the farmers of the region); monographic (when studying the problems of the functioning of the mechanism of lending to agrarians by agrarian receipts) economic analysis (when carrying out a comparative analysis of the mechanism of classical bank lending to the agrarian business and the mechanism of lending to agrarians according to agrarian receipts); modeling and forecasting (when determining ways to overcome the existing deficiencies in the mechanism of lending to agrarian business entities of the region according to agrarian receipts). The results of the work – a retrospective analysis of the structural transformation of financial and credit relations in the agricultural business was carried out. The mechanism of crediting agrarians according to agrarian receipts and the scale of its distribution in the agrarian business of the region are considered. A comparative analysis of the mechanism of classical bank lending to the agrarian business and the mechanism of lending to agrarians according to agrarian receipts was carried out. In the framework of the pilot project “Agrarian receipts in Ukraine” of the international financial corporation (IFC) in partnership with the Swiss Confederation in Ukraine, the example of the Poltava region defined the effectiveness of the crediting mechanism according to the agrarian receipts of the agrarians of the region. The advantages and disadvantages of the mechanism of crediting the subjects of the agrarian business on agrarian receipts are noted. The ways to overcome the existing shortcomings of the mechanism of crediting the subjects of the agrarian business of the region according to agricultural receipts are determined. Conclusions – according to the results of the conducted research, the effectiveness of the mechanism of lending to the agricultural business of the regions according to agricultural receipts was proved, its advantages and disadvantages were noted, and attention was also focused. Proposed in Art. 7 of Law No. 5479-VI clearly delineate cases and restrictions on the debtor’s reimbursement of expenses incurred by the lender with the acquisition of the right to grow and harvest the pledged crop of agricultural products, which will ensure the principle of equality of parties on economic benefits and distribution of credit risks according to agricultural receipts.

Generation Z and intention to use the digital library: does personality matter?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
M.A. Sanjeev ◽  
Shahnaz Khademizadeh ◽  
Thangaraja Arumugam ◽  
D.K. Tripathi
Keyword(s):  
Technology Adoption ◽  
Digital Library ◽  
Five Factor Model ◽  
Equation Modeling ◽  
Content Type ◽  
Independent Variables ◽  
Generation Z ◽  
Study Results ◽  
The Impact ◽  
Adoption Intention

Purpose This study aims to evaluate the role of personality in digital library systems (DLS) adoption intention among Generation Z (Gen-Z) students. The study uses the unified theory of acceptance and use of technology-2 and the five-factor model to investigate personality’s influence on Gen-Z’s DLS adoption intention. Design/methodology/approach The study is a descriptive causal investigation based on primary data collected through a self-administered survey using pre-validated tools. The study uses structural equation modeling to investigate personality dimensions’ direct and moderating effect on the dependent, independent variables and their relation. Findings The study results indicate that personality has no significant influence on Gen-Z’s DLS adoption, suggesting the ubiquity and inevitability of technology in current times. Also, only performance expectancy had a considerable impact on DLS adoption among Gen-Z going to college – a deviation from past studies where multiple independent variables have influenced DLS adoption when examined from different technology adoption model angles. Research limitations/implications The current research is done on Gen-Z, and thus the results are ideographic to the cohort. Practical implications The results of the study can be used to effectively design and communicate technology-enabled information solutions among the Cohort. Social implications The results of the study help better understand the factors affecting the technology adoption intentions of Gen-Z. Such understanding can help in better design and implementation of technology-enabled solutions for the cohort, maximizing such system adoption and its effective and efficient utilization. Originality/value The study explores the impact of personality on DLS adoption intentions, hitherto unexplored. The research also focuses on Gen-Z – a cohort born in a technology-enabled world whose attitude and preferences towards technology might differ. The study’s findings will help understand the influence of personality on DLS adoption among the Gen-Z and can be used to design, promote and evaluate such systems.

scholarly journals Extracting relationship between air pollution and precipitation using spatio-temporal analysis in Tehran metropolis

2019 ◽  
Vol 2 ◽  
pp. 1-7
Author(s):  
Shokouh Dareshiri ◽  
Mohammadreza Sahelgozin ◽  
Maryam Lotfian ◽  
Jens Ingensand
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Regression Model ◽  
Influencing Factors ◽  
Polynomial Regression ◽  
Human Life ◽  
Pearson Correlation ◽  
Influencing Factor ◽  
Polynomial Equation ◽  
Temporal Analysis

<p><strong>Abstract.</strong> Precipitation is one of the main stages of the water cycle, and it is required for the organisms to survive on the planet. In contrast, air pollution is a phenomenon that has greatly affected the human life nowadays. Population growth, development of factories and increasing number of fossil fuel vehicles are the most influencing factors on air pollution. In addition to understand nature of precipitation and air pollution, finding relationship between these two phenomena is necessary to make appropriate policies for reducing air pollution. Furthermore, studying trends of precipitation and air pollution in the past, is helpful to forecast the times and places with less precipitation and more air pollution for a better urban management. In this study, we tried to extract any probable relationship between these two parameters by investigating their monthly measured amounts in 22 municipal districts of Tehran in three epochs of time (2009, 2013 and 2017). Carbon Monoxide (CO) was considered as the indicator of air pollution. Results of the study show that the parameters have a significant relationship with each other. By using Pearson Correlation Coefficient and One-Way Variance (ANOVA) test, relationship between the data for each month and for each district of Tehran were studied separately. As the time has passed and the air pollution has increased, the correlation between the parameters in districts has decreased. In addition, during the cold months of the year, the correlations decrease since the fact that precipitation is not the only influencing factor on the air pollution due to the rise of air “Inversion”. Finally, the polynomial regression model of carbon monoxide based on precipitation was extracted for each of the three years. The model suggests a degree three polynomial equation. The obtained coefficients from the regression model show that the relationship between parameters was stronger in the years with more rainfalls. This can be due to the more significant impact of other influencing factors on air pollution, such as population density, wind direction, vehicles and factories in the areas or conditions with a less rainfall.</p>

scholarly journals Research on the Application of Mobile Internet Information Products of New Agricultural Business Entities

2021 ◽  
Vol 235 ◽  
pp. 03049
Author(s):  
Tongyang Wei ◽  
Yong Yang
Keyword(s):  
Decision Making ◽  
Information Age ◽  
Mobile Internet ◽  
Mobile Terminals ◽  
Advantages And Disadvantages ◽  
New Business ◽  
Internet Information ◽  
Information Products ◽  
Agricultural Business ◽  
Business Entities

Facing the current information age, this study aims to probe into the application of internet products of mobile terminals in the new agricultural business entities, and to analyze the advantages and disadvantages of the application. Based on this, the research group conducted an in-depth research on the new agricultural business entities in eight provinces and cities nationwide to understand the application of information products in the new agricultural business entities, in order to provide important reference and innovative ideas for the agricultural management departments and decision-making departments to carry out the work of training, fostering, guiding and serving new business entities.

scholarly journals Analysis of Revenue Incentive Dynamic Mechanism of Financial Supply Chain from the Perspective of the Internet of Things

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yue Yin
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Influencing Factors ◽  
Incentive Mechanism ◽  
Influencing Factor ◽  
Blockchain Technology ◽  
Supply Chain Finance ◽  
The Incentive Mechanism ◽  
Relationship Factors ◽  
The Internet Of Things

With the rapid development of society, all walks of life need the support of the Internet of Things, and the financial industry is no exception. This article integrates blockchain technology with supply chain finance and builds a supply chain financial alliance architecture based on blockchain technology and an underlying model of the Ethereum blockchain system suitable for supply chain finance. We innovated new supply chain finance models and operating mechanisms and proposed business scenarios for supply chain finance from the perspective of blockchain. Taking into account the actual operation of the blockchain supply chain financial platform, the principal-agent model and the incentive theory are applied, and the supply chain financial accounts receivable model is taken as an example in the case of complete information and incomplete information. The incentive mechanism between the service provider of the chain supply chain financial platform and the core enterprise promotes the better implementation of blockchain technology and supply chain finance. Based on the existing theoretical research, this paper identifies the key influencing factors of the supply chain’s cross-enterprise incentive mechanism. These influencing factors system includes two dimensions: transaction factors and relationship factors. Transaction factors include resource dependence, uncertainty, and cooperation experience; relationship factors include corporate reputation, trust level, and relationship commitment. Based on the nature of the incentive mechanism, information sharing and revenue sharing are extracted as the measurement dimensions of the supply chain’s cross-enterprise incentive mechanism. On this basis, this article draws on the existing enterprise life cycle division method and constructs a hypothetical model of the influencing factors of the incentive mechanism in the incubation period, the growth period, and the maturity period. Relevant data was collected through questionnaires, and SPSS and AMOS software were used to perform statistical analysis, reliability analysis, exploratory factor analysis, confirmatory factor analysis, and structural equation hypothesis testing on the data. The performance of each influencing factor in different stages of the enterprise’s life cycle and the importance of each influencing factor in the same life cycle stage are obtained.

Technology Adoption

2021 ◽  
pp. 96-119
Author(s):  
Saeed Alzahrani ◽  
Tugrul U. Daim
Keyword(s):  
Technology Adoption ◽  
Influencing Factors ◽  
Consumer Attitudes ◽  
Adoption Decision ◽  
Intention To Adopt ◽  
Factors Influencing ◽  
Depth Analysis ◽  
Hierarchical Decision ◽  
New Form ◽  
Hierarchical Decision Model

Cryptocurrency has emerged in recent years as a new form of money. With the wave of cryptocurrency developments and wild attention, it is essential to understand consumer attitudes toward the adoption of the cryptocurrency and the factors influencing their decisions. Thus, the chapter aims to fill a gap in the current literature by examining the factors that influence the user's intention to adopt cryptocurrency. This adoption is a purchasing decision where users make a decision based on a set of factors that matters to them. This chapter uses a hierarchical decision model (HDM) to understand the user decision to adopt cryptocurrency. The model proposes four main perspectives that influence the adoption decision: economic, technical, social, and personal. This study aims at providing an in-depth analysis of the factors influencing the adoption of cryptocurrency as well as the ranking of these influencing factors based on the quantification of the users' judgments.

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