scholarly journals Performance-Influencing Factors and Improvement Paths of Third-Party Governance Service Regarding Environmental Pollution—An Empirical Study of the SEM Based on Shanghai Data

2021 ◽  
Vol 13 (4) ◽  
pp. 2354
Author(s):  
Liping Cao ◽  
Fenqi Zhou ◽  
Yuan Zhu
Keyword(s):  
Environmental Pollution ◽  
Influencing Factors ◽  
Structural Equation ◽  
Process Management ◽  
Empirical Test ◽  
Measurement Model ◽  
Third Party ◽  
Force Model ◽  
Governance Mechanism ◽  
Performance Influencing Factors

By employing ecological economics involving performance-influencing factors and third-party governance services that have the aim of reducing environmental pollution, a theoretical framework which includes object, subject, process that measures the performance of such services is analyzed on the basis of the idea of sustainability science (2.0). The research hypotheses regarding the relationships among service performance, multi-stakeholder subjects’ satisfaction, and the effect of process management are put forward; then, a three-dimensional performance measurement model, which includes performance, stakeholders, and the process of providing third-party governance services for addressing environmental pollution, is constructed based on the pressure–state–response (PSR) driving force model. At the same time, based on empirical data of the Shanghai municipality, the structural equation model (SEM) is used to empirically test the nine proposed research hypotheses. The empirical test results show that, except for the research hypotheses in regard to regulating variables and controlling variables, all of the research hypotheses passed the test. It means the direct performance, single subjective satisfaction, process management effects are performance-influencing factors. However, the stakeholders’ cooperation satisfaction partially influences the performance of third-party governance services regarding environmental pollution. Finally, through theoretical and empirical research, this paper proposes countermeasures and suggestions for improving the performance of third-party governance services regarding environmental pollution in Shanghai focusing on two aspects: one is the market governance mechanism innovation, and the other is regulations and standards innovation.

An Empirical Test of the Hierarchical Construct of Professionalism and Managerialism in the Accounting Profession

2013 ◽  
Vol 25 (2) ◽  
pp. 1-20 ◽  
Author(s):  
Thomas Carrington ◽  
Tobias Johansson ◽  
Gustav Johed ◽  
Peter Öhman
Keyword(s):  
Structural Equation ◽  
Empirical Test ◽  
Measurement Model ◽  
Higher Order ◽  
Equation Modeling ◽  
Accounting Profession ◽  
Modeling Framework ◽  
Latent Constructs ◽  
Confirmatory Factor ◽  
Structural Regression

ABSTRACT: Research into the tension between professionalism and commercialism in the accounting profession is inconclusive and warrants greater attention. How to conceptualize and measure these constructs are thus pressing concerns. Using questionnaire data from 1,646 auditors in Sweden, and applying confirmatory factor analysis and structural regression models within a structural equation modeling framework to a measurement model developed by Suddaby et al. (2009), we find little empirical evidence for the existence of the two logics of professionalism and managerialism (i.e., commercialism) as two higher-order latent constructs shared by auditors. However, we find that two sub-elements of the proposed higher-order constructs do discriminate between each other in a way that could indicate two exclusive value statements in the accounting profession connected to the professionalism–commercialism tension; these are the respective emphasis on independence enforcement and client commitment.

scholarly journals Development and testing of an explorative BPM acceptance model: Insights from the COVID-19 pandemic

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259226
Author(s):  
Tahir Ahmad ◽  
Amy Van Looy
Keyword(s):  
Business Process ◽  
Structural Equation ◽  
Quantitative Research ◽  
Business Process Management ◽  
Process Management ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Model Assessment ◽  
Acceptance Model

When emerging technologies transform an organization’s way of working, explorative business process management (BPM) becomes a new challenge. Although digital innovations can boost process efficacy and business productivity, employees do not necessarily accept the implied work changes. We therefore looked at the increased digitalization efforts during the COVID-19 lockdowns, during which employees were forced to drastically rethink work by heavily depending on technology for communication and almost all business tasks. This global setting allowed us to scrutinize disruptive work changes and how employees can cope with disruptive work adaptations. We also looked into the explorative skillset needed to adapt to these changes. To theorize about an explorative BPM acceptance model, eleven hypotheses were supported based on a solid theoretical foundation. We followed a quantitative research design using partial least squares for structural equation modeling (PLS-SEM) at the university administration settings in two regions, including purposive sampling. Data analysis covered both a measurement model assessment and structural model assessment. Our findings reveal that employees’ perceived work modalities, feeling creative and feeling flexible are more promising features than perceived influence and attitude related to explorative work and skill development. We also offer novel insights into explorative business process management (BPM) skills, and which skills are more productive in uncertain or dynamic working conditions. This research is a learning path for managers struggling with flexible or competitive business environments, and more specifically to facilitate employee willingness.

scholarly journals Analysis of Influencing Factors of Teaching Effect Based on Structural Equation Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xin Xu
Keyword(s):  
Structural Equation Model ◽  
Influencing Factors ◽  
Latent Variables ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Model ◽  
Student Response ◽  
Design Parameters ◽  
Analysis Tool ◽  
Causal Connection

Structural equation model is a multivariate statistical analysis method. It can not only test some unpredictable abstract ideas, but also design parameters for the causal connection model between independent variables and dependent variables. Among them, the analysis of various latent variables is based on the verification factor analysis technology. The research first collects various relevant data, derives the latent variables and measurement variables, then composes the measurement model, and then verifies the adaptability of the measurement model structure mode through actual data collection. When such suitable factors are determined, a causal model based on path analysis technology for latent variables, that is, a structural model, can be used for parameter design. This article uses the structural equation model as an analysis tool, starting from the three aspects of teachers, cases, and students to evaluate the application effect of the case teaching method in the classroom teaching of intellectual property law course and construct a structural equation model of the influencing factors of the case teaching effect. To understand students’ satisfaction with case teaching effects and related influencing factors, the research results show that the effect of case teaching is jointly affected by the level of teachers, case selection, and student response. Among them, teacher factors have the greatest impact on case teaching effects, followed by case factors, and students have the least.

scholarly journals Impacts of Risk Allocation on Contractors’ Opportunistic Behavior: The Moderating Effect of Trust and Control

2020 ◽  
Vol 12 (22) ◽  
pp. 9604
Author(s):  
Yilin Yin ◽  
Qing Lin ◽  
Wanyi Xiao ◽  
Hang Yin
Keyword(s):  
Structural Equation ◽  
Empirical Test ◽  
Inhibitory Effect ◽  
Equation Model ◽  
Control Measures ◽  
Risk Allocation ◽  
Opportunistic Behavior ◽  
Governance Mechanism ◽  
Significant Inhibitory Effect ◽  
And Control

In construction projects, contractors often exhibit opportunistic behaviors, which harms the project performance, and risk allocation between clients and contractors affects the contractors’ opportunistic behaviors (strong and weak). In this study, a structural equation model was built to explore the impacts of risk allocation on opportunistic behavior and the moderating role of trust and control through an empirical test using a recovery questionnaire with 342 interviewees. The results show that the greater the risk contractors take, the stronger their opportunistic behavior is. Trust has a significant inhibitory effect on both strong and weak opportunistic behaviors caused by risk allocation, while control has a significant inhibitory effect only on strong opportunistic behavior caused by risk allocation. This study enriches the research on the governance mechanism and construction management of opportunistic behaviors and provides management suggestions for risk allocation and control measures of such behaviors.

Understanding consumer motivation to share IoT products data

2020 ◽  
Vol 12 (1) ◽  
pp. 5-22
Author(s):  
Sushant Bhatnagar ◽  
Rajeev Kumra
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Human Interaction ◽  
Third Party ◽  
Equation Modeling ◽  
Product Reviews ◽  
Moral Obligations ◽  
Content Type

Purpose Almost every study undertaken by academicians or practitioners on the Internet of Things (IoT) has mainly highlighted the privacy concerns and information security issues with the IoT products. On the contrary, this paper aims to explore the motivators that could encourage customers of an IoT product to share their IoT product’s data with a third-party aggregator system to facilitate computer-generated product reviews which are defined as electronic Word of Thing (eWOT) in this paper. Design/methodology/approach An experiment was conducted with customized e-commerce prototypes of eWOT. Structural equation modeling analysis was conducted to test the measurement model by using confirmatory factor analysis and thereafter a structural model to test the relationships amongst the latent variables. Findings This paper found that five consumer motivators (personal innovativeness, enjoyment of helping, anticipated extrinsic rewards, moral obligations and venting negative feelings) contribute to eWOT intention. Practical implications This research advances the understanding of human interaction with computer-generated product reviews and opens up avenues for future studies in online consumer behavior in the IoT context. Originality/value This paper presents motivators for eWOT intention to share IoT product data. This is done through a novel concept of an experimental IoT-based prototype, namely, eWOT. These eWOT reviews can be generated from the IoT products data by applying analytics and using natural language generation. To the best of the authors’ knowledge, no other study has been conducted on this subject.

scholarly journals Analysis on Pollution Hazards and Recycling Strategies of Logistics Packaging Wastes of E-Commerce Enterprises

2021 ◽  
Vol 20 (3) ◽  
Author(s):  
Zhongchao Hao
Keyword(s):  
Environmental Pollution ◽  
Structural Equation ◽  
High Speed ◽  
Rapid Expansion ◽  
Third Party ◽  
Equation Modeling ◽  
Good Reliability ◽  
Pollution Problem ◽  
Study Results ◽  
The Government

The emergence of China’s e-commerce industry leads to the rapid expansion of the express delivery industry, and the environmental pollution problem triggered by the express packaging wastes has become increasingly critical, severely impacting human health and sustainable social development. The literature regarding the pollution and recycling strategies of e-commerce logistics packaging wastes was first complied with and summarized in this work. Then, the research hypothesis of multi-subject (e-commerce enterprise, government, and third-party enterprises) in the recycling of e-commerce logistics packaging wastes was established. Finally, the effect of multi-subject participation in the recycling of e-logistics packaging wastes was surveyed via questionnaires using structural equation modeling. Results demonstrate that under the background of high-speed e-commerce development, the package pollution problem has become an important problem influencing environmental pollution in various countries across the world. The overall Cronbach’s alpha value of the questionnaires was 0.903, indicating good reliability. The observable variable- standard factor loading coefficient, was always greater than 0.5, indicating that the construct validity was accurate. Third-party and e-commerce enterprises played a significant positive role in the recycling effect of e-commerce logistics packaging wastes, with regression coefficients of 1.981 and 0.575, respectively. The government did not show any obvious influence on the recycling effect of e-commerce logistics packaging wastes. The pollution hazards of logistics packaging wastes of e-commerce enterprises can be effectively mitigated if e-commerce enterprises lead the green consumption needs, the government accelerates the perfection of laws and regulations related to the e-commerce logistics packaging, and a third-party professional recycling system is established, among others things. The study results will be of great reference sign

Platform ecological circle for cold chain logistics enterprises: the value co-creation analysis

2020 ◽  
Vol 120 (4) ◽  
pp. 675-691 ◽  
Author(s):  
Benhong Peng ◽  
Yuanyuan Wang ◽  
Sardar Zahid ◽  
Guo Wei ◽  
Ehsan Elahi
Keyword(s):  
Influencing Factors ◽  
Resource Sharing ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Positive Influence ◽  
Cold Chain ◽  
Enterprise Performance ◽  
Logistics Industry ◽  
Content Type ◽  
Logistics Enterprises

Purpose The purpose of this paper is to propose a framework of value co-creation in platform ecological circle for cold chain logistics enterprises to guide the transformation and development of cold chain logistics industry. Design/methodology/approach This paper establishes a conceptual framework for the research on the platform ecological circle in cold chain logistics, utilizes a structural equation model to investigate the influencing factors of the value co-creation of the platform ecological circle in the cold chain logistics enterprises and elaborates the internal relations between different influencing factors regarding the value co-creation and enterprises’ performance. Findings Results show that resource sharing in logistics platform ecological circle can stimulate the interaction among enterprises and this produces a positive influence on their dynamic capabilities, which, in turn, affects the they to work together to plan, implement and solve problems, so as to achieve the goal of improving enterprise performance. Practical implications The shared resources and value co-creation activities in the platform ecological circle are very important for the transformation and development of cold chain logistics enterprises. Therefore, enterprises should promote value co-creation through realizing resource sharing and creating a win-win cooperation mechanism. Originality/value This paper targets at incorporating the resource sharing in platform ecological circle for cold chain logistics enterprises, explores from an empirical perspective the role of the resource sharing in cold chain logistics enterprises in enhancing the dynamic capabilities of enterprises, thereby encouraging the value co-creation behavior, and ultimately boosts enterprise performance and stimulates business development.

scholarly journals The formation of patient trust and its transference to online health services: the case of a Dutch online patient portal for rehabilitation care

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lex van Velsen ◽  
Ina Flierman ◽  
Monique Tabak
Keyword(s):  
Health Services ◽  
Structural Equation ◽  
Assessment Tool ◽  
Measurement Model ◽  
Care Team ◽  
Care Organization ◽  
Patient Portal ◽  
Patient Trust ◽  
Related Factors ◽  
Ehealth Service

Abstract Background Trust is widely recognized as a crucial factor in successful physician–patient communication and patient engagement in treatment. However, with the rise of eHealth technologies, such as online patient portals, the role of trust and the factors that influence it need to be reconsidered. In this study, we aim to identify the factors that contribute to trust in an eHealth service and we aim to identify the consequences of trust in an eHealth service in terms of use. Methods The Patient Trust Assessment Tool was provided to new outpatients of a rehabilitation center in the Netherlands, that were expected to use the center’s online patient portal. Via this tool, we assessed five trust-related factors. This data was supplemented by questions about demographics (age, gender, rehabilitation treatment) and data about use (number of sessions, total time spent in sessions), derived from data logs. Data was analyzed via Partial Least Squares Structural Equation Modelling. Results In total, 93 patients participated in the study. Out of these participants, 61 used the portal at least once. The measurement model was considered good. Trust in the organization was found to affect trust in the care team (β = .63), trust in the care team affected trust in the treatment (β = .60). Both, trust in the care team and trust in the treatment influenced trust in the technology (β = .42 and .30, respectively). Trust in the technology affected the holistic concept trust in the service (β = .78). This holistic trust in the service finally, did not affect use. Conclusions This study shows that the formation of this trust is not unidimensional, but consists of different, separate factors (trust in the care organization, trust in the care team and trust in the treatment). Trust transfer does take place from offline to online health services. However, trust in the service does not directly affect the use of the eHealth technology.

scholarly journals Using PLS-SEM Model to Explore the Influencing Factors of Learning Satisfaction in Blended Learning

2021 ◽  
Vol 11 (5) ◽  
pp. 249
Author(s):  
Chun-Hsiung Huang
Keyword(s):  
Blended Learning ◽  
Influencing Factors ◽  
Structural Equation ◽  
Positive Impact ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning Motivation ◽  
Perceived Ease Of Use ◽  
Learning Satisfaction ◽  
The Relationship

This research explores the influencing factors of learning satisfaction in blended learning. Three dimensions are proposed: perceived usefulness, perceived ease of use, and learning motivation. It studied how these variables affect students’ learning satisfaction. The research hypotheses are: (1) Perceived ease of use positively affects perceived usefulness; (2) Perceived usefulness and perceived ease of use will have a positive effect on learning motivation; (3) Learning motivation positively affects learning satisfaction; (4) Perceived usefulness has a positive intermediary effect on the relationship between perceived ease of use and learning motivation. Participants included 173 freshmen who took the first-year interactive game design course at Ling Tung University in Taichung, Taiwan. The questionnaire survey method is applied in this research to analyze the relationship between the variables and verify the hypothesis based on the collected 173 valid questionnaires. The partial least square method structural equation model (PLS-SEM) is used to carry out structural equation modeling to study the relationship between latent variables. It explains that the perceived ease of use affects the perceived usefulness. Perceived usefulness and perceived ease of use have a positive impact on learning motivation. Learning motivation has a positive impact on learning satisfaction. Perceived usefulness as an intermediary factor of perceived ease of use has an indirect impact on learning motivation. The contribution of this research is to provide empirical evidence and explain what factors may affect learning satisfaction. Some other related factors that may affect learning satisfaction should be taken as the factors that teachers should pay attention to when implementing blended learning.

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