scholarly journals The Spatial Factors of Cultural Identity: A Case Study of the Courtyards in a Historical Residential Area in Beijing

2018 ◽  
Vol 10 (8) ◽  
pp. 2587
Author(s):  
Zhifen Cheng ◽  
Shangyi Zhou ◽  
Baoxiu Zhang
Keyword(s):  
Cultural Identity ◽  
Public Space ◽  
Structural Equation ◽  
Physical Space ◽  
Research Area ◽  
Architectural Form ◽  
Spatial Factors ◽  
Factors Influencing ◽  
Residential Culture ◽  
Main Factor

The issue of identity is very complex and determining the factors influencing cultural identity is a key issue. Several scholars have studied the factors influencing cultural identity. However, relatively little attention has been paid to how spatial factors influence cultural identity. This paper takes a historical and cultural conservation block in Beijing, China, as the research area. This area includes eight lanes and is called Eight Lanes in North Xisi. The purpose of this paper is to demonstrate that spatial changes in living conditions, layout, size, architectural form, and decoration, etc. in the courtyards led to changes in the traditional culture of the courtyards, which ceased to reflect the original residential culture, which led to a decline in cultural identity. Spatial factors directly affected the residents’ cultural identification with harmonious courtyard culture. This view adds nuance to debates about cultural identity and the factors that influence it. From the perspective of cultural geography and by using structural equation modelling, we draw two main conclusions. First, the smaller proportion of public space (The term “space” as it is used in this paper is based on the understanding of humanistic geographers and refers to physical space; it does not acquire meaning and cultures.) is one main factor affecting residents’ identification with the harmonious residential culture of the case area. Second, the greater population density of the courtyards is another main factor affecting residents’ identification with the area’s harmonious residential culture.

scholarly journals An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers

2019 ◽  
Vol 16 (18) ◽  
pp. 3227 ◽  
Author(s):  
Yu-Sheng Kao ◽  
Kazumitsu Nawata ◽  
Chi-Yo Huang
Keyword(s):  
Structural Equation ◽  
Research Area ◽  
Equation Model ◽  
Attrition Rate ◽  
Smart Devices ◽  
Analytic Framework ◽  
Modified Delphi ◽  
Factors Influencing ◽  
Wide Range ◽  
Fitness Trackers

In recent years, IoT (Internet of Things)-based smart devices have penetrated a wide range of markets, including connected health, smart home, and wearable devices. Among the IoT-based smart devices, wearable fitness trackers are the most widely diffused and adopted IoT based devices. Such devices can monitor or track the physical activity of the person wearing them. Although society has benefitted from the conveniences provided by IoT-based wearable fitness trackers, few studies have explored the factors influencing the adoption of such technology. Furthermore, one of the most prevalent issues nowadays is the large attrition rate of consumers no longer wearing their device. Consequently, this article aims to define an analytic framework that can be used to explore the factors that influence the adoption of IoT-based wearable fitness trackers. In this article, the constructs for evaluating these factors will be explored by reviewing extant studies and theories. Then, these constructs are further evaluated based on experts’ consensus using the modified Delphi method. Based on the opinions of experts, the analytic framework for deriving an influence relationship map (IRM) is derived using the decision-making trial and evaluation laboratory (DEMATEL). Finally, based on the IRM, the behaviors adopted by mass customers toward IoT-based wearable fitness trackers are confirmed using the partial least squares (PLS) structural equation model (SEM) approach. The proposed analytic framework that integrates the DEMATEL and PLS-SEM was verified as being a feasible research area by empirical validation that was based on opinions provided by both Taiwanese experts and mass customers. The proposed analytic method can be used in future studies of technology marketing and consumer behaviors.

Factors Influencing the Adoption of Electronic Information Resources among Postgraduate Students in Nigerian Universities

Mousaion ◽  
2020 ◽  
Vol 38 (2) ◽  
Author(s):  
Kehinde Abayomi Owolabi ◽  
Basirat.Olubukola Diyaolu ◽  
Nurudeen Adeniyi Aderibigbe ◽  
Mudasiru A Yusuf
Keyword(s):  
Information And Communication Technologies ◽  
Digital Libraries ◽  
Structural Equation ◽  
Information Resources ◽  
Behavioural Intention ◽  
Electronic Information ◽  
Cross Sectional ◽  
Postgraduate Students ◽  
Factors Influencing ◽  
Electronic Information Resources

The advent of information and communication technologies (ICTs) has revolutionised how library resources are made and transmitted to end-users. It has effectively improved the standard of education and research in tertiary institutions worldwide by providing various essential resources, including e-books, journals and databases. However, it has been observed that students still abstain from making the best usage of the digital library, instead using search engines rather than institutional digital libraries. This study investigated the factors influencing the behavioural intention of postgraduate (PG) students to use electronic information resources (EIRs). The Unified Theory of Acceptance of Technology (UTAUT) model was adopted. A cross-sectional research design was used to assess the factors influencing the use of EIRs. A sample of 362 PG students was determined using a Monte Carlo simulation approach. Data were collected from participants via the administration of 400 copies of the questionnaire. Confirmatory Factor Analysis (CFA) and the Covariance-Based Structural Equation Modelling (CB-SEM) were used to analyse data collected. The findings revealed that performance expectancy (PE) and effort expectancy (EE) were the two constructs that influenced PG students’ behavioural intention to use EIRs. In contrast, social influence (SI) and facilitating condition (FC) did not change the PG students’ behavioural plan to use EIRs. The study recommended the need for adequate training for postgraduate (PG) students on the obligation to accept and use EIRs.

scholarly journals Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1205
Author(s):  
Yogi Tri Prasetyo ◽  
Allysa Mae Castillo ◽  
Louie John Salonga ◽  
John Allen Sia ◽  
Thanatorn Chuenyindee ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Indirect Effect ◽  
Fast Food ◽  
Structural Equation ◽  
The Philippines ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Online Questionnaire ◽  
Fast Food Industry ◽  
Factors Influencing

The drive-through fast-food industry has been one of the fastest businesses growing over the past decades in developing countries, including the Philippines. The purpose of this study was to evaluate factors influencing costumers’ repurchase intention in a drive-through fast food in the Philippines by utilizing the structural equation modeling (SEM) approach. A total of 305 Filipinos answered the online questionnaire, which contained 38 questions. The results of SEM indicated that subjective appetite (SA) was found to have a significant direct effect on menu options (MO). Consequently, MO was found to have significant direct effects on imagery elaboration (IE), vividness (VV), and convenience (CO), and an indirect effect on order accuracy (OA). Finally, SA, MO, IE, VV, OA, and CO were found to have significant effects on satisfaction (S), which subsequently led to loyalty (L) and repurchase intention (RI). Interestingly, MO was found to have the highest indirect effect on RI, indicating that MO is an important consideration for RI. This is the first comprehensive study evaluating drive-through fast food in the Philippines. The causal relationships of the present study can be applied and extended to evaluate the repurchase intention of drive-through fast food in other countries.

Traditional Culture Expression and Innovation of Contemporary Architecture

2014 ◽  
Vol 638-640 ◽  
pp. 2290-2293
Author(s):  
Han Fang Liu ◽  
Xue Mei Jin ◽  
Jia Fu
Keyword(s):  
Traditional Culture ◽  
Power Source ◽  
Modern Architecture ◽  
National Character ◽  
Architectural Form ◽  
Chinese Architecture ◽  
Factors Influencing ◽  
Architectural Innovation ◽  
Regional Character ◽  
Contemporary Architecture

This paper analyzes the factors influencing the contemporary architectural innovation. It puts forward that the model of standardization and mass production contribute to similar “international” architectural form, which results in the disappearing of the “national character” and“regional character” of Chinese architecture. However, simplified traditional expressions make contemporary architectural innovation too superficial, leading to a “trap” of imitation. It also pointes out that the combination of the methods of symbol and metaphor , technology and materials of modern architecture, a further exploration of traditional culture symbols, cultural energy stimulating is the power source of contemporary architectural innovation, and make a argumentation through success and failure cases.

An Empirical Study of Factors Influencing Consumer Attitudes towards SMS Advertising

2014 ◽  
Vol 4 (3) ◽  
pp. 1-13 ◽  
Author(s):  
Pradeep Dharmadasa ◽  
Thilini Alahakoon
Keyword(s):  
Empirical Study ◽  
Structural Equation ◽  
Business Management ◽  
Consumer Attitudes ◽  
Predictor Variables ◽  
Outcome Variable ◽  
Factors Influencing ◽  
Central Route ◽  
Customer Attitudes ◽  
The University

This article examines factors influencing consumer attitudes towards SMS advertising. The study's research framework was conceptualized using five predictor variables – informativeness, irritation, privacy, credibility, and incentives – and an outcome variable of consumer attitudes towards SMS advertising. The informativeness, irritation, and privacy was labelled as central route constructs and credibility and incentives were labelled as peripheral route constructs. Survey data collected from 251 mobile users selected from a cohort of undergraduates in business management from the University of Colombo, Sri Lanka, were analyzed using the Structural Equation Method (SEM). Results suggest that the informativeness and incentive variables are positively associated with customer attitudes towards SMS advertising, whereas irritation and privacy are found to be negatively associated with consumer attitudes towards SMS advertising. Surprisingly, credibility was found to be an insignificant factor predicting consumer attitudes towards SMS advertising. Several implications for consumer attitudes towards SMS advertising are discussed.

scholarly journals Prevention of cybercrimes in smart cities of India: from a citizen’s perspective

2019 ◽  
Vol 32 (5) ◽  
pp. 1153-1183 ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Arpan Kumar Kar ◽  
Yogesh K. Dwivedi ◽  
Hatice Kizgin
Keyword(s):  
Conceptual Model ◽  
Structural Equation ◽  
Smart Cities ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Content Type ◽  
Actual Usage ◽  
Factors Influencing ◽  
Technology Adoption Model

PurposeThe purpose of this paper is to identify the factors influencing the citizens of India to prevent cybercrimes in the proposed Smart Cities of India.Design/methodology/approachA conceptual model has been developed for identifying factors preventing cybercrimes. The conceptual model was validated empirically with a sample size of 315 participants from India. Data were analyzed using structural equation modeling with SPSS and AMOS softwares.FindingsThe study reveals that the “awareness of cybercrimes” significantly influences the actual usage of technology to prevent cybercrimes in Smart Cities of India. The study reveals that government initiative (GI) and legal awareness are less influential in spreading of the awareness of cybercrimes (AOC) to the citizens of the proposed smart cities.Research limitations/implicationsThe conceptual model utilizes two constructs from the technology adoption model, namely, perceived usefulness and ease of use. The study employs other factors such as social media, word of mouth, GIs, legal awareness and organizations constituting entities spreading awareness from different related literature works. Thereby, a comprehensive theoretical conceptual model has been proposed which helps to identify the factors that may help in preventing cybercrimes.Practical implicationsThis study provides an insight to the policy maker to understand several factors influencing the AOC of the citizens of the proposed Smart Cities of India for the prevention of cybercrimes.Originality/valueThere are few existing studies analyzing the effect of AOC to mitigate cybercrimes. Thus, this study offers a novel contribution.

scholarly journals The Impact of Big Data Adoption on SMEs’ Performance

2021 ◽  
Vol 5 (4) ◽  
pp. 68
Author(s):  
Mahdi Nasrollahi ◽  
Javaneh Ramezani ◽  
Mahmoud Sadraei
Keyword(s):  
Big Data ◽  
Economic Performance ◽  
Structural Equation ◽  
Information Technologies ◽  
Social Performance ◽  
Empirical Studies ◽  
Research Area ◽  
Equation Modeling ◽  
Future Research ◽  
The Impact

The notion of Industry 4.0 encompasses the adoption of new information technologies that enable an enormous amount of information to be digitally collected, analyzed, and exploited in organizations to make better decisions. Therefore, finding how organizations can adopt big data (BD) components to improve their performance becomes a relevant research area. This issue is becoming more pertinent for small and medium enterprises (SMEs), especially in developing countries that encounter limited resources and infrastructures. Due to the lack of empirical studies related to big data adoption (BDA) and BD’s business value, especially in SMEs, this study investigates the impact of BDA on SMEs’ performance by obtaining the required data from experts. The quantitative investigation followed a mixed approach, including survey data from 224 managers from Iranian SMEs, and a structural equation modeling (SEM) methodology for the data analysis. Results showed that 12 factors affected the BDA in SMEs. BDA can affect both operational performance and economic performance. There has been no support for the influence of BDA and economic performance on social performance. Finally, the study implications and findings are discussed alongside future research suggestions, as well as some limitations and unanswered questions.

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