scholarly journals Factors Affecting Loyalty of Mobile Social Networks' Users

2017 ◽  
Vol 13 (1) ◽  
pp. 66-81 ◽  
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.

scholarly journals Factors affecting bridging social capital in on-line professional networks : an exploratory study of social capital formation on LinkedIn

2021 ◽  
Author(s):  
Natalia Gilewicz
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Structural Equation ◽  
Online Survey ◽  
Online Social Network ◽  
Equation Modeling ◽  
Bonding Social Capital ◽  
Factors Affecting ◽  
Bridging Social Capital ◽  
On Line

This thesis investigates factors contributing to bridging social capital on LinkedIn. An online social network is one that allows users to make and share contacts by way of displaying their network (Boyd & Ellison, 2007). The intention of a network such as LinkedIn, is to create professional opportunities for its participants. Here, social capital is seen as the resource embedded within the social network, and as such is conceptualized as the benefit associated with online social network participation. Bridging social capital typically exists between weakly tied colleagues, It has been said to a superior type of social capital for 'getting ahead' (Putnam, 2000). Understanding how to create opportunities to increase bridging social capital in an online environment is useful to potentially overcoming barriers that exist offline. Using the partial least squares approach to structural equation modeling, the thesis analyzes data collected from an online survey (n:167) of LinkedIn members. Driven by theory, three constructs are conceptualized as contributing to the variance in bridging social capital. Ease of sue, browsing behaviours, and bonding social capital all have a positive relationship with bridging social capital, and together explain 53.8% of this variance. These findings are then extended to explore the broader design implications they have an online social network.

scholarly journals Factors affecting bridging social capital in on-line professional networks : an exploratory study of social capital formation on LinkedIn

2021 ◽  
Author(s):  
Natalia Gilewicz
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Structural Equation ◽  
Online Survey ◽  
Online Social Network ◽  
Equation Modeling ◽  
Bonding Social Capital ◽  
Factors Affecting ◽  
Bridging Social Capital ◽  
On Line

This thesis investigates factors contributing to bridging social capital on LinkedIn. An online social network is one that allows users to make and share contacts by way of displaying their network (Boyd & Ellison, 2007). The intention of a network such as LinkedIn, is to create professional opportunities for its participants. Here, social capital is seen as the resource embedded within the social network, and as such is conceptualized as the benefit associated with online social network participation. Bridging social capital typically exists between weakly tied colleagues, It has been said to a superior type of social capital for 'getting ahead' (Putnam, 2000). Understanding how to create opportunities to increase bridging social capital in an online environment is useful to potentially overcoming barriers that exist offline. Using the partial least squares approach to structural equation modeling, the thesis analyzes data collected from an online survey (n:167) of LinkedIn members. Driven by theory, three constructs are conceptualized as contributing to the variance in bridging social capital. Ease of sue, browsing behaviours, and bonding social capital all have a positive relationship with bridging social capital, and together explain 53.8% of this variance. These findings are then extended to explore the broader design implications they have an online social network.

Factors Affecting Individual Level ERP Assimilation in a Social Network Perspective

2017 ◽  
Vol 25 (3) ◽  
pp. 21-39 ◽  
Author(s):  
Luan Gao ◽  
Luning Liu ◽  
Yuqiang Feng
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Interactive Learning ◽  
Influential Factors ◽  
Three Dimensions ◽  
Organizational Level ◽  
Key Factors ◽  
Factors Affecting ◽  
Individual Level ◽  
The Social

Prior research on ERP assimilation has primarily focused on influential factors at the organizational level. In this study, the authors attempt to extend their understanding of individual level ERP assimilation from the perspective of social network theory. They designed a multi-case study to explore the relations between ERP users' social networks and their levels of ERP assimilation based on the three dimensions of the social networks. The authors gathered data through interviews with 26 ERP users at different levels in five companies. Qualitative analysis was used to understand the effects of social networks and interactive learning. They found that users' social networks play a significant role in individual level ERP assimilation through interactive learning among users. They also found five key factors that facilitate users' assimilation of ERP knowledge: homophily (age, position and rank), tie content (instrumental and expressive ties), tie strength, external ties, and centrality.

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

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.

scholarly journals Toward an improved risk/crisis communication in this time of COVID-19 pandemic: a baseline study for Philippine local government units

2020 ◽  
Vol 19 (07) ◽  
pp. A09
Author(s):  
Reymund Flores ◽  
Xavier Venn Asuncion
Keyword(s):  
Local Government ◽  
Crisis Communication ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Communication Preferences ◽  
Health Crisis ◽  
Factors Affecting ◽  
The Public ◽  
The Government

This study mainly explores the communication preferences of the public; their level of trust in the government; and the factors affecting their risk/crisis perception amidst the COVID-19 pandemic. The key findings —derived from the data collected through an online survey and analysis using descriptive statistics, cross-tabulations, and Structural Equation Modeling (SEM), provide insights on how Local Government Units (LGUs) can improve their risk/crisis communication in this current health crisis. Among the key takeaways include the use of social media platforms, like Facebook, and native/local language for effective risk/crisis communication which may, consequently, foster trust building between the LGUs and the public.

An Exploration of Pre-Service Teachers' Intention to Use Mobile Devices for Teaching

2015 ◽  
Vol 7 (3) ◽  
pp. 1-17 ◽  
Author(s):  
Jung Won Hur ◽  
Ying W. Shen ◽  
Ugur Kale ◽  
Theresa A. Cullen
Keyword(s):  
Mobile Devices ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
The Us

Teachers in the US have been increasingly adopting mobile devices for teaching, but little research has examined how pre-service teachers perceive mobile device integration in classrooms. To address this issue, the study developed a research model that explained factors affecting pre-service teachers' intention to use mobile devices and the relationship among the factors. A total of 386 pre-service teachers participated in an online survey, and the model was tested using structural equation modeling. The results showed that 72.5% of variances in pre-service teachers' intention to use mobile devices were explained by perceived usefulness and self-efficacy for technology integration jointly, where perceived usefulness was the strongest predictor. The findings also demonstrated that constructivist beliefs and perceived ease of use indirectly influenced pre-service teachers' intention to use mobile devices for teaching.

scholarly journals A Model of Perception of Privacy, Trust, and Self-Disclosure on Online Social Networks

Entropy ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. 772 ◽  
Author(s):  
Nemec Zlatolas ◽  
Welzer ◽  
Hölbl ◽  
Heričko ◽  
Kamišalić
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Privacy Risk ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Significant Relationships ◽  
Privacy Issues

Online Social Networks are used widely, raising new issues in terms of privacy, trust, and self-disclosure. For a better understanding of these issues for Facebook users, a model was built that includes privacy value, privacy risk, trust, privacy control, privacy concerns, and self-disclosure. A total of 602 respondents participated in an online survey, and structural equation modeling was used to evaluate the model. The findings indicate significant relationships between the constructs in this study. The model from our study contributes new knowledge to privacy issues, trust and self-disclosure on Online Social Networks for other researchers or developers of online social networks.

Factors affecting customers’ intention to use of location-based services (LBS) in the lodging industry

2017 ◽  
Vol 8 (3) ◽  
pp. 337-356 ◽  
Author(s):  
Jungsun (Sunny) Kim ◽  
Sungsik Yoon ◽  
Dina Marie V. Zemke
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Location Based Services ◽  
Equation Modeling ◽  
Content Type ◽  
Factors Affecting ◽  
Privacy Concerns ◽  
Four Dimensions ◽  
Secondary Use ◽  
Hotel Customers

Purpose The purpose of this study is to investigate the determinants of customers’ intentions to use location-based services (LBS) offered by a hotel. The study examined whether hotel customers’ coupon proneness, trust, privacy concerns and familiarity with LBS are significant determinants of their intentions to use LBS. Design/methodology/approach An online survey using a scenario-based narrative was administered to collect data from participants who have smartphones and have stayed at a full-service hotel within the previous 12 months. A research model tested data collected from 402 hotel customers, using confirmatory factor analysis and structural equation modeling. Findings Three proposed determinants (i.e. familiarity, coupon proneness and trust) positively influenced customers’ intentions to use LBS. Out of the four dimensions of privacy concerns (concerns of collection, error, unauthorized secondary use and improper access), only concerns about data collection negatively influenced customers’ intentions to use a hotel’s LBS. Originality/value This study extends the literature on LBS adoption and other technology with privacy issues by modifying existing models and empirically testing it in the new context of hotels.

Key Factors of Community Based Biomass Power Plant Establishment

2016 ◽  
Vol 839 ◽  
pp. 75-80 ◽  
Author(s):  
Krittaphas Mongkoldhumrongkul ◽  
Prapita Thanarak
Keyword(s):  
Power Plant ◽  
Structural Equation ◽  
Power Plants ◽  
Local Community ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Key Factors ◽  
Community Based ◽  
Factors Affecting ◽  
Biomass Power Plant

Biomass plays an important role in reducing fossil energy. It can be utilized in different ways and one of its usages is to produce electricity. However, to benefit from the gains of using biomass power generation, there are several obstacles to overcome for its competent utilization. The performance of community based biomass power plants (CBP) was studied to access the feasibility and sustainability aspects that caused energy security. The objective of this study was to identify the key factors affecting to CBP establishment. The authors designed the tests to make a comprehensive study considering all the factors published in the Science Direct Database during January 2004 to September 2014. The data was obtained using multi-stage sampling from 1,151 people dwelling in the local community. A questionnaire was used as a tool for collecting the data. The output factors were confirmed by undertaking the Structural Equation Modeling (SEM) analysis. The results show a significant influence on 1) technology of biomass gasification power plant; 2) biomass residues; 3) community; and 4) government, policy and investment at p < 0.05. These findings therefore identified the key factors affecting establishment for biomass electricity generation in Thailand. This in turn has helped bring about the causal model for establishing biomass power plant based on sustainability.

Exploring Travel Behavior of Households with Pre-School Aged Children

2021 ◽  
pp. 036119812098800
Author(s):  
Muhammad Ahsanul Habib ◽  
Md Asif Hasan Anik ◽  
Caroline Robertson
Keyword(s):  
Child Care ◽  
Travel Behavior ◽  
Structural Equation ◽  
Online Survey ◽  
Care Center ◽  
Equation Modeling ◽  
Child Care Centers ◽  
Factors Affecting ◽  
School Aged Children ◽  
Transit Use

Child-care centers are major trip generators for households with pre-school aged children (< 5 years). This paper presents a framework to analyze the factors affecting daily travel choices and challenges of child-care going households. Through rigorous literature review, this study first identifies important variables affecting mode choice, child-care center choice, transit use, and intention to drive. Next, it develops and distributes an online survey questionnaire to the registered child-care centers in Halifax Regional Municipality, Canada, to get data on individual households’ travel choices, challenges, factors affecting those choices, and importance level of those factors, as well as socio-demographic information. The study collects data from over 200 households, which is then analyzed using structural equation modeling to examine the effects of the identified factors such as safety, cost, distance, location, affordability, and convenience on day-to-day child-care trip decisions. The findings suggest that most of the families (73%) rely on private vehicles to make child-care trips as a result of family time, travel freedom, and parking availability. Other variables that motivate them to drive are travel safety, convenience, and opportunity to do trip chaining. Results show that 57% of the households group their child-care trip with a work trip. Distance to nearest bus stop, carrying child belongings, and length of trip to child-care are considered major barriers for transit use. The results of this study are expected to assist policy makers to understand travel patterns and barriers of households with pre-school aged children and help in designing communities to promote sustainable travel behavior.

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