A New Insight into Understanding Urban Vitality: A Case Study in the Chengdu-Chongqing Area Twin-City Economic Circle, China

Addressing the issues caused by urbanization through urban vitality theory has elicited increasing attention in social environment research. However, few studies focus on vitality itself, such as the generative mechanism of urban vitality (GMUV) and the identification of key factors to vitality improvement. Therefore, a new insight into vitality is presented in this study through the exploration of GMUV based on partial least squares structural equation modeling (PLS-SEM). Concretely, the GMUV and the key factors to vitality improvement are analyzed and identified based on nighttime lights data, points of interest, and the statistical data of the Chengdu-Chongqing Area Twin-City Economic Circle in China. The results show that external representations and internal elements constitute the structural basis of the GMUV and that environmental vitality and social vitality are the key factors to enhance vitality. Finally, suggestions on improving regional vitality are provided to urban policymakers. This study may promote a better understanding of vitality, and the proposed vitality evaluation model may serve as a reference for other regions.

Download Full-text

Gamblers’ Perception of the Playscan Risk Assessment: A Mixed-Methods Study

Journal of Gambling Studies ◽

10.1007/s10899-021-10043-0 ◽

2021 ◽

Author(s):

David Forsström ◽

Alexander Rozental ◽

Emma Wiklund ◽

Per Carlbring ◽

Philip Lindner

Keyword(s):

Risk Assessment ◽

Mixed Methods ◽

Structural Equation ◽

Responsible Gambling ◽

Gambling Behavior ◽

Mixed Methods Study ◽

Equation Modeling ◽

General View ◽

Insight Into ◽

Qualitative Analyses

AbstractResponsible gambling (RG) tools are globally widespread; they aim to prevent or decrease the harm caused by gambling. However, existing research suggests that several included features do not decrease gambling or significantly reduce the subsequent harm. Most of the previous studies have used gambling data to understand the changes in gambling behavior. However, the literature lacks research regarding gamblers’ experience and perception of RG tools, which may provide insight into increasing the usage and effectiveness of RG tools. This mixed-methods study aimed to explore gamblers’ perception of their risk assessment in the RG tool Playscan regarding developing harmful gambling problems. Overall, 757 participants rated the perceived accuracy of their risk assessment and their perception of the overall RG tool that conducted the assessment. Participants were also allowed to leave a comment providing feedback, which was analyzed using thematic analysis. Quantitative data was analyzed using logistic regression and structural equation modeling. Qualitative analyses revealed that most of the participants were pleased with the risk assessment and found it helpful. Moderated mediation analysis showed that participants’ assessment agreement partially mediated the association between expressing a negative view and their general view of Playscan. These results highlight the need to decrease the level of disagreement for promoting a better general view of RG tools to potentially increase their usage and effectiveness.

Download Full-text

Key Factors for Green IS Acceptance in Banking Segment

International Journal of Electronic Government Research ◽

10.4018/ijegr.2021010104 ◽

2021 ◽

Vol 17 (1) ◽

pp. 48-67

Author(s):

Monika Singh ◽

Ganesh P. Sahu

Keyword(s):

Literature Review ◽

Structural Equation ◽

Harmful Effect ◽

Uttar Pradesh ◽

Equation Modeling ◽

Key Factors ◽

Green Is ◽

And Performance ◽

Green Information Systems ◽

Almost All

Almost all service organizations are now well aware about global warming and advantages of green information systems (Green IS) in order to gain social and economic profit at the cost of no harmful effect on environment. Recurrent annotations in the literature have explored that for successful Green IS adoption certain keys factors are required to be considered and followed in various organizations. This paper reviews, analyzes, and corroborates 11 key factors empirically that are accountable for successful adoption of Green IS and performance improvement achievement of banking segments with special reference to the banks positioned at Lucknow, Uttar Pradesh, India. Eleven key factors are identified via in-depth literature review and examined using UTAUT2 and T-O-E models. Analysis of Moment Structure 21.0-Structural Equation Modeling tool is used in the study for data analysis and corroboration. The study will enrich the literature review in this field; also, it will be helpful to the decision makers and practitioners in different segments for successful adoption of Green IS in organizations.

Download Full-text

The Effect of E-Service Quality on Football Fan Satisfaction and Fan Loyalty toward the Websites of Their Favorable Football Teams

International Journal of E-Business Research ◽

10.4018/ijebr.2016010103 ◽

2016 ◽

Vol 12 (1) ◽

pp. 43-57 ◽

Cited By ~ 3

Author(s):

Javad Khazaei Pool ◽

Ali Dehghan ◽

Hadi Balouei Jamkhaneh ◽

Akbar Jaberi ◽

Maryam Sharifkhani

Keyword(s):

Service Quality ◽

Structural Equation ◽

Marketing Research ◽

Strong Support ◽

Equation Modeling ◽

Valuable Insight ◽

Electronic Service ◽

Sports Club ◽

Insight Into ◽

Selection Of

The purpose of the current study was to examine the effect of electronic service quality on fan satisfaction and fan loyalty in the online environment. Selection of three hundred and fifty-six fans of a famous sports club was through random sampling using the club's website. AMOS used structural equation modeling for data analysis. Results provided strong support on the effect of electronic service quality (E-S-QUAL) on fan satisfaction and fan loyalty toward the website of their favorable football teams. Business enterprises have well researched e-service quality and loyalty. However, limited research exists in the sports context. This paper provides valuable insight into the measurement of e-service quality and fan loyalty in the sport and offers a foundation for future marketing research.

Download Full-text

Insight into removals of PARAFAC components from dissolved and particulate organic matter in wastewater treatment process by two-dimensional correlation and structure equation modeling

Environmental Sciences Europe ◽

10.1186/s12302-021-00558-z ◽

2021 ◽

Vol 33 (1) ◽

Author(s):

Benxin Yu ◽

Dongping Liu ◽

Jian Wang ◽

Yingxue Sun

Keyword(s):

Organic Matter ◽

Wastewater Treatment ◽

Particulate Organic Matter ◽

Structural Equation ◽

Treatment Process ◽

Treatment Plant ◽

Equation Modeling ◽

Two Dimensional ◽

Wastewater Treatment Process ◽

Insight Into

Abstract Background Most particulate organic matter (POM) cannot be directly degraded in the conventional wastewater treatment, which should be transformed into dissolved organic matter (DOM) through a hydrolysis process. However, non-hydrolyzed POM in the biological treatment can limit treated efficiencies for the wastewater treatment plants (WWTPs) facilities. Hence an operational tool is indispensable for insight into removals of DOM and POM factions in the WWTP. In this study, excitation-emission matrix fluorescence spectroscopy (EEM) combined parallel factor analysis (PARAFAC), two-dimensional correlation (2D-COS) and structural equation modeling (SEM) was employed to evaluate removals of DOM and POM in a wastewater treatment plant. Results Four fluorescence components were identified in DOM and POM substances from the WWTP by EEM combined with PARAFAC, i.e., tyrosine-like (TYLF), tryptophan-like (TRLF), microbial byproduct-like (MBLF), and fulvic acid-like (FALF). In A2/O process, the TYLF and TRLF of DOM were removed to a larger extent than those of MBLF and FALF in anaerobic tank, while TYLF and MBLF of POM were removed to a great extent than those of TRLF and FALF in primary sedimentation and aerobic tanks. By the 2D-COS, a decreasing variation order of DOM fractions in the wastewater treatment process was UV-FALF → MBLF2 → Vis-FALF → TRLF → TYLF, while the decreasing order of POM fractions was Vis-FALF → UV-FALF → MBLF2 → TYLF → MBLF1 → TRLF. SEM revealed that TRLF and TYLF of DOM were degraded by anaerobic microorganism, and TRLF could be transformed partially into FALF. However, TRFL and TYLF of POM were discomposed by aerobic microorganism. Conclusions The 2D-COS and SEM can be practicable tools as EEM-PARAFAC for monitoring DOM and POM in the WWTP. The study could present a theoretical support to improving the retrofit of WWTP and formulating emission standards for organic pollutants.

Download Full-text

Interaction of Potential and Effective Entrepreneurial Capabilities in Adolescents: Modeling Youth Entrepreneurship Structure Using Structural Equation Modeling

10.21203/rs.3.rs-537148/v1 ◽

2021 ◽

Author(s):

Lilia Angélica Campo ◽

Paola Amar ◽

Enohemit Olivero

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Equation Modeling ◽

Complex Nature ◽

Evaluation Instrument ◽

Key Factors ◽

Entrepreneurship Training ◽

Personal Traits ◽

Mediating Role ◽

Entrepreneurial Skills

Abstract This article emphasizes entrepreneurial skills in adolescents, in order to determine the relationship between entrepreneurial skills (dependent variable) and the key factors for their development: personal, social, and educational (independent variables). It has an empirical‒analytical design which is explanatory in nature. After the design, validation, and application of the evaluation instrument, the estimation was carried out using Structural Equation Modeling (SEM). The results show great impact of potential entrepreneurial capacity on effective entrepreneurial capacity, determined by the direct effect of personal traits and life skills, the family as a moderating element, as well as the mediating role of entrepreneurship training processes. The complex nature of entrepreneurship is highlighted, which is influenced by multiple factors as possible boosters for the success of entrepreneurial initiatives.

Download Full-text

Trust in Cloud-Based Services: A Framework for Consumer Adoption of Software as a Service

Journal of Information Systems ◽

10.2308/isys-52626 ◽

2019 ◽

Vol 34 (2) ◽

pp. 65-85

Author(s):

Lorraine S. Lee ◽

William D Brink

Keyword(s):

Structural Equation ◽

Survey Methodology ◽

Software As A Service ◽

Equation Modeling ◽

Key Factors ◽

End User ◽

Factors Affecting ◽

User Adoption ◽

Statistical Support ◽

Confidentiality And Privacy

ABSTRACT Guidelines originating from practice suggest the Trust Services Criteria of security, availability, processing integrity, confidentiality, and privacy should be key factors affecting the trust of cloud-based systems. In our study, we test a model of end-user adoption of cloud-based software as a service (SaaS) by integrating the five principles from the Trust Services Criteria with systems risk. Using a survey methodology to collect data and analyzing it with structural equation modeling, we test hypotheses associated with the model. Our results show statistical support for the factors of security, confidentiality, and privacy as influencing consumers' trust in cloud-based services. Additionally, our results demonstrate trust in cloud-based services negatively influences the perceived systems risk, and these two items (trust and systems risk) significantly influence the decision by end-users to adopt a cloud-based system. Overall, our findings support the use of the Trust Services Criteria for assessing consumers' trust in cloud-based services.

Download Full-text

The Effect of E-Service Quality on Football Fan Satisfaction and Fan Loyalty Toward the Websites of Their Favorable Football Teams

Sports Media, Marketing, and Management ◽

10.4018/978-1-5225-5475-2.ch024 ◽

2018 ◽

pp. 470-485 ◽

Cited By ~ 1

Author(s):

Javad Khazaei Pool ◽

Ali Dehghan ◽

Hadi Balouei Jamkhaneh ◽

Akbar Jaberi ◽

Maryam Sharifkhani

Keyword(s):

Service Quality ◽

Random Sampling ◽

Structural Equation ◽

Marketing Research ◽

Strong Support ◽

Equation Modeling ◽

Valuable Insight ◽

Electronic Service ◽

Sports Club ◽

Insight Into

Download Full-text

Factors Affecting Loyalty of Mobile Social Networks' Users

International Journal of E-Business Research ◽

10.4018/ijebr.2017010104 ◽

2017 ◽

Vol 13 (1) ◽

pp. 66-81 ◽

Cited By ~ 4

Author(s):

Nastaran Hajiheydari ◽

Babak Hazaveh Hesar Maskan ◽

Mahdi Ashkani

Keyword(s):

Social Networks ◽

Social Network ◽

Structural Equation ◽

Online Survey ◽

Equation Modeling ◽

Mobile Social Networks ◽

Mobile Social Network ◽

Key Factors ◽

Factors Affecting ◽

Social Applications

Increasing world-wide trends of using mobile social networks and the rise of competition between different social applications makes it essential for social network providers and marketers to identify the key factors leading to user loyalty. The purpose of this paper is to identify the key factors that affect the loyalty of mobile social networks users. The proposed model was tested through structural equation modeling techniques and an online survey. The sample consisted of 388 mobile social networks users in Iran. The results indicate that sociability, entertainment and fashion are primary drivers of attitude toward a mobile social network. The results also show the significant role of attitude and satisfaction on consumer loyalty. This study helps both marketers and mobile social network providers know the key drivers of customer loyalty in order to tailor their marketing efforts and communication strategies.

Download Full-text

Factors Influencing BIM Adoption for Construction Enterprises in China

Advances in Civil Engineering ◽

10.1155/2020/8848965 ◽

2020 ◽

Vol 2020 ◽

pp. 1-15

Author(s):

Ruixue Zhang ◽

Yuyan Tang ◽

Liang Wang ◽

Zeyu Wang

Keyword(s):

Construction Industry ◽

Influencing Factors ◽

Structural Equation ◽

Equation Modeling ◽

Key Factors ◽

Process Data ◽

Construction Enterprises ◽

Factors Influencing ◽

Hypothesis Model ◽

Wide Range

The construction industry is one of the important pillars of the Chinese national economy. BIM, as a new information technology tool, provides an intelligent digital representation of buildings to support diverse activities and brings about a wide range of benefits throughout the life cycle of projects. However, BIM has not been widely adopted in construction enterprises in China. It is necessary to make a comprehensive and systematic analysis of the influencing factors for BIM adoption. This paper sums up 13 influencing factors from four aspects, namely, technology, economy, institution, and environment aspect. The questionnaire survey and statistical analysis were used to collect and process data which is applied to determine the influencing factors. Based on relevant literature, a hypothesis model was established by the structural equation modeling method. SPSS software and AMOS software were used to test the model. Then, the key factors influencing BIM adoption are induced. The results show that the key factors that influence BIM adoption in China include personnel quality, investment in personnel training, BIM standardization, and the influence of senior managers in the organization. Combined with the above conclusion, this paper puts forward some suggestions for promoting BIM adoption and specific measures to realize the wide application of BIM technology in the Chinese construction industry.

Download Full-text

How would the managementof human behavior variables influence customer-oriented management?

Kybernetes ◽

10.1108/k-07-2018-0376 ◽

2019 ◽

Vol 49 (3) ◽

pp. 797-818

Author(s):

Leslier M. Valenzuela-Fernández ◽

Francisco-Javier Arroyo-Cañada ◽

Francisco Javier Villegas Pinuer

Keyword(s):

Customer Value ◽

Structural Equation ◽

Role Ambiguity ◽

Negative Impact ◽

Value Orientation ◽

Equation Modeling ◽

Key Factors ◽

Content Type ◽

Relationship Of

Purpose Salesperson’s actions are critical in helping the firm develop customer value orientation and long-term relationship with profitable customers to achieve sustainable sales growth and profitability over time. The purpose of this paper is to examine the salespeople and service executives’ perceptions about the relevance of some human resource management variables and employees’ attitudes as key factors to develop a company’s customer value orientation. The authors tested whether the perceptions of role ambiguity, incentives policy and provided training (PT) had an impact on job involvement (JI), job satisfaction (JS), and consequently, on customer value orientation. Design/methodology/approach Research design was nested with data from 327 executives from medium and upper positions in Chilean companies. Findings The results show that while the perception of role ambiguity had an indirect negative impact on customer value orientation through JI, perception of PT level had a direct impact over and above the other variables. Research limitations/implications JS and JI are attitudinal variables, which companies try to encourage in their employees through different human resources, practices. Incentives and training are ways to develop favorable employees’ attitudes and improve their customer value orientation. With the research, companies could invest their resources in better and more effective practices to generate favorable attitudes toward customer value orientation. Originality/value Through structural equation modeling, the model shows the relevance in the perception of sales executives about the relationship of employees’ JI and customer value orientation. This commands to open the view of the customer value orientation management to include other attitudinal variables as JI.

Download Full-text