scholarly journals The Impact of Fertilizer Amendments on Soil Autotrophic Bacteria and Carbon Emissions in Maize Field on the Semiarid Loess Plateau

2021 ◽  
Vol 12 ◽  
Author(s):  
Jinbin Wang ◽  
Junhong Xie ◽  
Lingling Li ◽  
Zhuzhu Luo ◽  
Renzhi Zhang ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Loess Plateau ◽  
Structural Equation ◽  
Organic Fertilizer ◽  
Maize Yield ◽  
Crop Productivity ◽  
Chemical Fertilizer ◽  
Equation Modeling ◽  
Autotrophic Bacteria ◽  
The Impact

Soil autotrophic bacteria play a crucial role in regulating CO2 fixation and crop productivity. However, the information is limited to how fertilization amendments alter soil autotrophic bacterial community, crop yield, and carbon emission efficiency (CEE). Here, we estimated the impact of the structure and co-occurrence network of soil autotrophic bacterial community on maize yield and CEE. A long-term field experiment was conducted with five fertilization treatments in semiarid Loess Plateau, including no amendment (NA), chemical fertilizer (CF), chemical fertilizer plus commercial organic fertilizer (SC), commercial organic fertilizer (SM), and maize straw (MS). The results showed that fertilization amendments impacted the structure and network of soil Calvin–Benson–Bassham (CBB) (cbbL) gene-carrying bacterial community via changing soil pH and NO3–N. Compared with no amendment, the cbbL-carrying bacterial diversity was increased under the SC, SM, and MS treatments but decreased under the CF treatment. Soil autotrophic bacterial network contained distinct microbial modules that consisted of closely associated microbial species. We detected the higher abundances of soil cbbL-carrying bacterial genus Xanthobacter, Bradyrhizobium, and Nitrosospira. Structural equation modeling further suggested that the diversity, composition, and network of autotrophic bacterial community had strongly positive relationships with CEE and maize yield. Taken together, our results suggest that soil autotrophic bacterial community may drive crop productivity and CEE, and mitigate the atmospheric greenhouse effect.

scholarly journals Nitrogen Application Increases Soil Organic Carbon And Crop Productivity By Altering Soil Autotrophic Bacterial Community On the Semiarid Loess Plateau

2021 ◽  
Author(s):  
Jinbin Wang ◽  
Junhong Xie ◽  
Lingling Li ◽  
Zhuzhu Luo ◽  
Renzhi Zhang ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Loess Plateau ◽  
Structural Equation ◽  
Carbon Fixation ◽  
Maize Yield ◽  
Crop Productivity ◽  
Equation Modeling ◽  
N Application ◽  
Significant Relationships ◽  
Application Rates

Abstract Background and aims Soil autotrophic microorganisms play crucial roles in carbon fixation and crop productivity. However, the information is remains limited to whether and how soil autotrophic microbe mediate SOC pool dynamics and crop productivity.Methods Here, we investigated the effects of the structure and co-occurrence network of soil autotrophic bacterial community on SOC storage and maize yield. A long-term field experiment was conducted with four chemical nitrogen (N) application rates on the semi-arid Loess Plateau, including N application at 0 kg ha–1 (N0), 100 kg ha−1 (N1), 200 kg ha−1 (N2), and 300 kg ha−1 (N3), respectively. Results Our results showed that the N application significantly impacted the structure and co-occurrence network of soil cbbL-carrying bacterial community via changing soil pH, nitrate nitrogen (NO3-N), and soil water content (SWC). The diversity of soil autotrophic bacterial community decreased with the increasing rate of N application. We detected a high abundance of the autotrophic bacterial dominant genera Xanthobacter, Bradyrhizobium, Aminobacter, and Nitrosospira. The co-occurrence network of autotrophic bacteria contained four distinct modules that consisted of closely interconnected microorganisms. Structural equation modeling further indicated that the diversity, composition, and network of autotrophic bacterial community had significant relationships with SOC storage and maize yield.Conclusion Taken together, our results highlight that the soil autotrophic bacterial community may drive carbon fixation SOC accumulation and contribute positively to crop productivity.

The Role of Career Self-Efficacy on the Effect of Parental Career Behaviors on Career Exploration: A Study on School of Tourism and Hotel Management’ Students

2016 ◽  
Vol 3 (1) ◽  
pp. 143 ◽  
Author(s):  
Selahattin Kanten ◽  
Pelin Kanten ◽  
Murat Yeşiltaş
Keyword(s):  
Undergraduate Students ◽  
Self Efficacy ◽  
Structural Equation ◽  
Career Exploration ◽  
Equation Modeling ◽  
Survey Method ◽  
Hotel Management ◽  
Mediating Role ◽  
The Impact

This study aims to investigate the impact of parental career behaviors on undergraduate student’s career exploration and the mediating role of career self-efficacy. In the literature it is suggested that some social and individual factors facilitate students’ career exploration. Therefore, parental career behaviors and career self-efficacy is considered as predictors of student’s career exploration attitudes within the scope of the study. In this respect, data which are collected from 405 undergraduate students having an education on tourism and hotel management field by the survey method are analyzed by using the structural equation modeling. The results of the study indicate that parental career behaviors which are addressed support; interference and lack of engagement have a significant effect on student’s career exploration behaviors such as intended-systematic exploration, environment exploration and self-exploration. In addition, it has been found that one of the dimensions of parental career behaviors addressed as a lack of engagement has a significant effect on career self-efficacy levels of students. However, research results indicate that student’s career self-efficacy has a significant effect on only the self-exploration dimension. On the other hand, career self-efficacy has a partial mediating role between lack of engagement attitudes of parents and career exploration behaviors of students.

PENGARUH PELATIHAN, KOMPETENSI, MOTIVASI DAN KEPEMIMPINAN TERHADAP KINERJA PEGAWAI DENGAN PENDIDIKAN SEBAGAI PEMODERATOR PADA BALAI PENDIDIKAN DAN PELATIHAN APARATUR KEMENTERIAN KELAUTAN DAN PERIKANAN

2018 ◽  
Vol 5 (2) ◽  
pp. 37-49
Author(s):  
Wahyu Yulianto
Keyword(s):  
Job Satisfaction ◽  
Performance Appraisal ◽  
Structural Equation ◽  
Secondary Data ◽  
Primary Data ◽  
Equation Modeling ◽  
Training Centre ◽  
Competence Motivation ◽  
The Impact ◽  
Mediator Variable

The study purpose is to analyse the impact of training, competence, motivation and leadership towards performance either directly or through job satisfaction as a mediator variable. As many as 55 staff are considered as respondents in this research, and census method is used as the sampling method. Primary data in this study were collected through questionnaires and analyzed using Likert Scale. Secondary data are obtained from the organization structure Sukamandi Apparatus Training Centre (BDA), performance appraisal, staff attendance, information system and personnel management. Structural Equation Modeling Analisis of Moment Structures (SEM-AMOS) is used to process and analyze data. This study shows staff with high education, competence and leadership have a significant effect on performance, While the job satisfaction is significant in mediating the influence of training, competence and leadership on performance. Next on the employee with low education, training, competence, motivation and leadership have a significant influence on performance, while job satisfaction is significant in mediating the effect of competence and leadership on staff performance.   Keywords:  training, competence, motivation, leadership, job satisfaction, performance

KONFLIK DAN KINERJA KARYAWAN

2018 ◽  
Vol 3 (3) ◽  
pp. 431-440
Author(s):  
Santi Retno Sari
Keyword(s):  
Leadership Style ◽  
Structural Equation ◽  
Employee Performance ◽  
Equation Modeling ◽  
Managerial Practices ◽  
Research Findings ◽  
Job Levels ◽  
The Impact ◽  
The Relationship ◽  
Practical Implications

The purpose of this paper is to examine the relationships to which leadership style (task and relations oriented leadership) moderate the impact of conflict on employee performance. Data were collected from 92 employees in different job levels. Partial least squares variance-based structural equation modeling (PLS-SEM) was used to test the relationship in the models. The results showed that task and relation conflict was associated with employee performance. The research findings also showed that leadership styles moderated the relationship between conflict and employee performance. This study offers implications for managerial practices. Practical implications and suggestions described in the paper Keywords: leadership style, conflict, performance.

The Impact of Service Satisfaction, Relational Satisfaction and Commitment on Customer Loyalty in Logistics Outsourcing Relationship

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Sanjit Singh H.
Keyword(s):  
Customer Loyalty ◽  
Structural Equation ◽  
Structural Model ◽  
Reliability And Validity ◽  
Service Satisfaction ◽  
Equation Modeling ◽  
Relational Satisfaction ◽  
Logistics Outsourcing ◽  
Major Predictor ◽  
The Impact

This research explores the impact of service satisfaction, relational satisfaction, price satisfaction, and commitment on customer loyalty in logistics outsourcing relationships in Indian scenario. 254 users of logistics services from India were selected for investigating the potential linkages among the aforementioned satisfaction aspects and loyalty. Structural equation modeling (SEM) was employed to test the reliability and validity of the measurement and structural model developed to study the relationship among the linkages. Findings from the study supports that logistics service satisfaction, price satisfaction, relational satisfaction and commitment do influence loyalty positively. The analysis suggests that service satisfaction is the most important antecedent having primary influence in the formation of customer loyalty. Service satisfaction also has secondary influence on loyalty by acting as a strong driver in both relational satisfaction and commitment aspects of the service dimensions. Price satisfaction though positively been driven by service satisfaction, was found to have less significant effect as a predictor of loyalty in this context. The present study suggests that relational satisfaction is the second major predictor of loyalty which also drives commitment. This research is not an end-point but an attempt to establish the linkages and the effect among the antecedents driving the building and retention of good buyer-seller relationship in logistics outsourcing.

scholarly journals Understanding continued smartwatch usage: the role of emotional as well as health and fitness factors

2021 ◽  
Author(s):  
Carolin Siepmann ◽  
Pascal Kowalczuk
Keyword(s):  
Structural Equation ◽  
Goal Pursuit ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Emotional Factors ◽  
Health And Fitness ◽  
Important Barrier ◽  
Personal Fitness ◽  
Continuous Use ◽  
The Impact

AbstractSmartwatches are the most popular wearable device and increasingly subject to empirical research. In recent years, the focus has shifted from revealing determinants of smartwatch adoption to understanding factors that cause long-term usage. Despite their importance for personal fitness, health monitoring, and for achieving health and fitness goals, extant research on the continuous use intention of smartwatches mostly disregards health and fitness factors. Grounding on self-determination theory, this study addresses this gap and investigates the impact of health and fitness as well as positive and negative emotional factors encouraging or impeding consumers to continuously use smartwatches. We build upon the expectation-confirmation model (ECM) and extend it with emotional (device annoyance and enjoyment) as well as health and fitness factors (goal pursuit motivation and self-quantification behavior). We use structural equation modeling to validate our model based on 335 responses from actual smartwatch users. Results prove the applicability of the ECM to the smartwatch context and highlight the importance of self-quantification as a focal construct for explaining goal pursuit motivation, perceived usefulness, confirmation and device annoyance. Further, we identify device annoyance as an important barrier to continuous smartwatch use. Based on our results, we finally derive implications for researchers and practitioners alike.

scholarly journals Application of Blockchain for Supply Chain Financing: Explaining the Drivers Using SEM

2021 ◽  
Vol 7 (3) ◽  
pp. 167
Author(s):  
Mohammad Rokibul Kabir ◽  
Md. Aminul Islam ◽  
Marniati ◽  
Herawati
Keyword(s):  
Supply Chain ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Innovation Research ◽  
Supply Chain Financing ◽  
The Impact

Owing to the lack of research in emerging Asian nations, this research aimed to unearth the determinants of blockchain acceptance for supply chain financing by a Bangladeshi financing company called IPDC. Centred on a technology acceptance framework called UTAUT (unified theory of acceptance and use of technology) and open innovation research, an expanded model with a mediating variable is developed for this study. This research work employs the deductive inference method in conjunction with the positivism paradigm. A structural questionnaire was used to gather data, which were then processed through Smart-PLS (partial least square) for SEM (structural equation modeling). The survey includes all the people who are directly or indirectly involved in the supply chain financing platform of IPDC. The study consists of seven direct hypotheses and one mediating hypothesis. The results show that all the direct hypotheses except the impact of social influence on the behavioural intention to use (BINTU) blockchain are significant. The mediating hypothesis indicating the role of BINTU in the relationship between facilitating conditions (FCON) and the actual use of blockchain is also supported. FCON and BINTU together explain 88.7% variation in blockchain use behaviour for supply chain financing. The research advances past findings by employing an expanded UTAUT framework and validating observations with the other relevant studies throughout the world.

scholarly journals The Influence of COVID-19-Induced Daily Activities on Health Parameters—A Case Study in Malaysia

2021 ◽  
Vol 13 (13) ◽  
pp. 7465
Author(s):  
Mujahid Ali ◽  
Afonso R. G. de Azevedo ◽  
Markssuel T. Marvila ◽  
Muhammad Imran Khan ◽  
Abdul Muhaimin Memon ◽  
...  
Keyword(s):  
Structural Equation ◽  
Linear Regression Analysis ◽  
Daily Activities ◽  
Social Health ◽  
Coefficient Of Determination ◽  
Equation Modeling ◽  
Risk Of Death ◽  
Unit Increase ◽  
The Impact ◽  
Health Parameters

Since December 2019, the COVID-19 epidemic has been spreading all over the world. This epidemic has brought a risk of death in the daily activity (physical and social) participation that influences travellers’ physical, social, and mental health. To analyze the impact of the COVID-19-induced daily activities on health parameters of higher education institutes, 150 students of the Universiti Teknologi PETRONAS, Perak, Malaysia, were surveyed through an online web survey using random sampling techniques. The data were analyzed through RStudio and SPSS using multilevel linear regression analysis and Hierarchical Structural Equation Modeling. The estimated results indicate that restricting individuals from doing out-of-home activities negatively influences physical and social health. A unit increase in the in-home maintenance activities during the COVID-19 pandemic introduced a daily increase of 0.5% in physical health. Moreover, a unit increase in the in-home activities at leisure time represents a 1% positive improvement in social health. Thus, physical activity has proven to be beneficial in improving physical and social health with severe COVID-19. In contrast, the coefficient of determination (R2) for all endogenous variables ranges from 0.148 to 0.227, which is incredibly acceptable in psychological research. For a healthier society with a better quality of life, this study adopted multidisciplinary approaches that are needed to be designed.

scholarly journals Impact of Entrepreneurship Extracurricular Activities and Inspiration on Entrepreneurial Intention: Mediator and Moderator Effect

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110321
Author(s):  
Thuy Thu Nguyen ◽  
Linh Thi Phuong Nguyen ◽  
Hoa Thi Thanh Phan ◽  
Anh Trong Vu
Keyword(s):  
Extracurricular Activities ◽  
Structural Equation ◽  
Entrepreneurial Intention ◽  
Equation Modeling ◽  
Moderator Effect ◽  
Technical Students ◽  
Research Findings ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts ◽  
The Impact

This empirical study proposed a comprehensive model testing the direct and indirect impacts of entrepreneurship extracurricular activities and entrepreneurship inspiration on students’ entrepreneurial intention. With the sample consisting of 640 students from 11 universities in Vietnam, the study used structural equation modeling analysis approach. The results revealed that entrepreneurship extracurricular activities and entrepreneurship inspiration are significantly related to students’ entrepreneurial intention, and entrepreneurship self-efficacy partially mediates these relations. The impact of entrepreneurship education on entrepreneurial intention differs across the field of study. Technical students generally get more benefits from entrepreneurship educational activities than business and economics students do. The research findings recommended some implications for fostering graduates’ entrepreneurship in emerging countries.

The Impact of Self-Stigma, Role Strain, and Diabetes Distress on Quality of Life and Glycemic Control in Women With Diabetes: A 6-Month Prospective Study

2021 ◽  
pp. 109980042110096
Author(s):  
Ruey-Hsia Wang ◽  
Chia-Chin Lin ◽  
Shi-Yu Chen ◽  
Hui-Chun Hsu ◽  
Chiu-Ling Huang
Keyword(s):  
Quality Of Life ◽  
Glycemic Control ◽  
Prospective Study ◽  
Structural Equation ◽  
Role Strain ◽  
Diabetes Distress ◽  
Equation Modeling ◽  
Disease Characteristics ◽  
The Impact

Purposes: Women with diabetes (WD) are more severely impacted by the consequence of suboptimal diabetes control. This study aims to examine the impact of demographic and disease characteristics, baseline self-stigma, role strain, diabetes distress on Hemoglobin A1C (A1C) levels, quality of life (D-QoL) and 6-month A1C levels in younger WD. Methods: This study was a 6-month prospective study. In total, 193 WD aged 20–64 years were selected by convenience sampling from three outpatient clinics in Taiwan. Demographic and disease characteristics, self-stigma, role strain, diabetes distress, A1C levels, and D-QoL were collected at baseline. A1C levels were further collected 6 months later. Structural equation modeling was conducted to test the hypothesized model. Results: The final model supported that higher baseline D-QoL directly associated with lower concurrent A1C levels and indirectly associated with lower 6-month A1C levels through baseline A1C levels. Higher baseline self-stigma, role strain, and diabetes distress directly associated with lower baseline D-QoL, and indirectly associated with higher 6-month A1C levels through D-QoL. Conclusion: Improving self-stigma, role strain, and diabetes distress should be considered as promising strategies to improve D-QoL in young WD. D-QoL plays a mediation role between baseline self-stigma, role strain, diabetes distress and subsequent glycemic control in younger WD. Enhancing baseline D-QoL is fundamental to improve subsequent glycemic control.

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