scholarly journals Security policy and data protection awareness of mobile devices in relation to employees’ trusting beliefs

2018 ◽  
Vol 6 (2) ◽  
pp. 7-22
Author(s):  
Alex Koohang ◽  
Kevin Floyd ◽  
Neil Rigole ◽  
Joanna Paliszkiewicz
Keyword(s):  
Mobile Devices ◽  
Data Protection ◽  
Security Policy ◽  
Structural Equation ◽  
The United States ◽  
Equation Modeling ◽  
Research Model ◽  
Policy Awareness ◽  
Trusting Beliefs ◽  
The Impact

This paper builds a research model to examine the impact of security policy awareness and data protection awareness of mobile devices on employees’ trust belief. A survey instrument was administered to a sample in various organizations in the United States (US). Collected data were analyzed using Partial Least Squares - Structural Equation Modeling (PLS-SEM). Results using 222 participants showed that the security policy awareness of mobile devices positively and significantly contributes to employees’ trusting beliefs. Likewise, the data protection awareness of mobile devices positively and significantly contributes to employees’ trusting beliefs. The findings are discussed.

scholarly journals eWOM in C2C Platforms: Combining IAM and Customer Satisfaction to Examine the Impact on Purchase Intention

2021 ◽  
Vol 16 (5) ◽  
pp. 1612-1630
Author(s):  
Salvador Bueno ◽  
M. Dolores Gallego
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Purchase Intention ◽  
Structural Equation ◽  
Source Credibility ◽  
Positive Impact ◽  
Equation Modeling ◽  
Research Model ◽  
Argument Quality ◽  
The Impact

This study is focused on communications that come from consumer-to-consumer (C2C) ecommerce relationships. This topic is directly associated with the electronic word-of-mouth (eWOM) phenomenon. eWOM is related to the set of positive or negative opinions made by potential, actual, or former customers about a seller. The present study proposes a structural equation modeling with partial least squares (PLS-SEM) research model to analyze consumers’ opinions impact on attitude toward purchasing. This model is based on the Information Adoption Model (IAM) in combination with an ecommerce satisfaction perspective, comprising five constructs: (1) service quality, (2) ecommerce satisfaction, (3) argument quality, (4) source credibility and (5) purchase intention. The model was tested by applying the Smart Partial Least Squares (SmartPLS) software for which 116 effective data from customers of the Taobao C2C platform were used. The findings reveal that all of the defined relationships were supported, confirming the positive impact of all the proposed constructs on the purchase intention. In this respect, the findings suggest that C2C platforms should strengthen the analyzed connections to grow the business and to promote transactions. Finally, implications and limitations related to the explanatory capacity and the sample are identified.

scholarly journals Examination of Self-efficacy Beliefs of on performance (An empirical study on National level Players of team sports in Sri Lanka)

2019 ◽  
Vol 7 (12) ◽  
Author(s):  
Perera HPN ◽  
Jusoh M ◽  
Azam SMF ◽  
Sudasinghe SRSN
Keyword(s):  
Sri Lanka ◽  
Self Efficacy ◽  
Structural Equation ◽  
National Level ◽  
Team Sports ◽  
Equation Modeling ◽  
Research Model ◽  
Efficacy Belief ◽  
Perceived Performance ◽  
The Impact

The main goal of this study was identify the impact of Self-Efficacy on the performance of team sports players in Sri Lanka. Mainly it was focused to measure self-efficacy belief of team players and the experimental variable of the study was perceived performance. The study utilized a likert scale questionnaire which had been adopted from literature to obtain data for the study. The research model was tested using 308 subjects comprised of national level team players. Data were analyzed using SPSS and structural equation modeling with AMOS. Self-efficacy has proven to have a noticeable impact on subjective performance of the players. The recommendations included the strategies which can be utilized to enhance the self-efficacy belief of the players.

The effect of clustering on competitiveness improvement in Hebron

2017 ◽  
Vol 28 (5) ◽  
pp. 631-654 ◽  
Author(s):  
Ibrahim M. Awad ◽  
Alaa A. Amro
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Model Building ◽  
Measurement Model ◽  
Background Information ◽  
Equation Modeling ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to map the cluster in the leather and shoes sector for improving the competitiveness of the firms. Toward this end, the study is organized to examine the impact of clustering on competitiveness improvement. The influence of competitive elements and performance (Porter’s diamond) and balanced score card was utilized. Design/methodology/approach A random sample of 131 respondents was chosen during the period from May 2016 to July 2016. A structural equation modeling (SEM) analysis was applied to investigate the research model. This approach was chosen because of its ability to test casual relationships between constructs with multiple measurement items. Researchers proposed a two-stage model-building process for applying SEM. The measurement model was first examined for instrument validation, followed by an analysis of the structural model for testing associations hypothesized by the research model. Findings The main findings show that there is a unidirectional causal relationship between improvements of performance and achieve competitiveness and also reveal that the Palestinian shoes and leather cluster sector is vital and strong, and conclude that clustering can achieve competitiveness for small- and medium-sized enterprises. Research limitations/implications Future research can examine the relationship between clustering and innovation. The effect of clustering using other clustering models other than Porter’s model is advised to be used for future research. Practical implications The relationships among clustering and competitiveness may provide a practical clue to both, policymakers and researchers on how cluster enhances economic firms such as a skilled workforce, research, development capacity, and infrastructure. This is likely to create assets such as trust, synergy, collaboration and cooperation for improved competitiveness. Originality/value The findings of this study provide background information that can simultaneously be used to analyze relationships among factors of innovation, customer’s satisfaction, internal business and financial performance. This study also identified several essential factors in successful firms, and discussed the implications of these factors for developing organizational strategies to encourage and foster competitiveness.

Students' intention to adopt Internet-based personal safety wearable devices: Extending UTAUT with trusting belief

First Monday ◽  
2017 ◽  
Author(s):  
Devendra Potnis ◽  
Dawit Demissie ◽  
Kanchan Deosthali
Keyword(s):  
Undergraduate Students ◽  
Structural Equation ◽  
The United States ◽  
Wearable Devices ◽  
Equation Modeling ◽  
It Adoption ◽  
Personal Safety ◽  
Use Of Technology ◽  
Student Safety ◽  
Trusting Beliefs

In the backdrop of growing violence and burgeoning crime rates on campus, student safety is one of the topmost priorities for North American universities. While the promises of Internet-based personal safety wearable devices (PSWDs) are highly touted by manufacturers and the academic campuses that adopt them, there is a lack of empirical data on the level of user (student) acceptance. Drawing on the literature on IT adoption, in particular the Unified Theory of Acceptance and Use of Technology (UTAUT) model and trusting beliefs, we propose a model to investigate the factors influencing the intention of 405 undergraduate students to voluntarily adopt POM, a personal safety wearable device, at a four-year college in the Northeast portion of the United States. The empirical analysis of the model using structural equation modeling (SEM) indicated that social influence, facilitating conditions in the form of resources, effort expectancy, and trusting beliefs influence the intentions of students to use POM.

Extending the Technology Acceptance Model to Investigate the Utilization of ERP Systems

2010 ◽  
Vol 6 (4) ◽  
pp. 38-54 ◽  
Author(s):  
Samar Mouakket
Keyword(s):  
Technology Acceptance ◽  
United Arab Emirates ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Systems Design ◽  
Equation Modeling ◽  
Research Model ◽  
Erp Systems ◽  
Acceptance Model ◽  
The Impact

The implementation of Enterprise Recourse Planning (ERP) systems has grown rapidly, but limited research has been conducted to investigate the utilization of ERP systems. By extending the Technology Acceptance Model, this paper provides a research model for examining the impact of computer self-efficacy and ERP systems design features on the utilization of ERP systems. To test the proposed research model, data are collected through a questionnaire survey distributed among employees in different organizations that have implemented an ERP system in the United Arab Emirates. Structural equation modeling techniques are used in this study to verify the causal relationships between the variables. The results strongly support the extended TAM in understanding employees’ utilization of ERP systems. The implications of this study and further research opportunities are also discussed.

Collective knowledge construction: a socio-cognitive approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mandana Farzaneh ◽  
Gholamhossein Mehralian ◽  
Mohammad Taghi Isaai
Keyword(s):  
Structural Equation ◽  
Knowledge Structure ◽  
Equation Modeling ◽  
Task Structure ◽  
Work Team ◽  
Research Model ◽  
Collective Knowledge ◽  
Cognitive Approach ◽  
Content Type ◽  
The Impact

Purpose The purpose of this study is to use correlation analysis to understand how knowledge structure, task structure and collaboration affect collective knowledge (CK) by the mediating mechanism of communication. Design/methodology/approach Drawing on an existing gap in the literature related to CK, a research model with five hypotheses is proposed. The hypotheses were analyzed based on data collected from 114 work-team practitioners using structural equation modeling. Findings The results indicate that communication, knowledge structure, task structure and collaboration significantly contribute to CK and that communication partially mediates the impact of these constructs on CK. Originality/value The value of the current research is in its contribution to the understanding of CK formation.

scholarly journals A Comprehensive Study Plan for Identifying the Impact of Learning Styles, Teaching Strategies, Need for Cognition, and Meta-Cognition on Academic Achievement of Students in the Educational Centers

2018 ◽  
Vol 1 (1) ◽  
pp. 20-26
Author(s):  
Mohsen Malekalketab Khiabani
Keyword(s):  
Academic Achievement ◽  
Factor Analysis ◽  
Learning Styles ◽  
Teaching Strategies ◽  
Structural Equation ◽  
Need For Cognition ◽  
Equation Modeling ◽  
Research Model ◽  
Confirmatory Factor ◽  
The Impact

According to the extant literature, the positive roles of learning styles, teaching strategies, need for cognition, and meta-cognition on promotion and enhancing level of academic achievement is irrefutable. This study aims to plan for identifying the impact of mentioned variables on the academic achievement of students in the Educational Centers. The developed research model is based on a review in literature and is a comprehensive model which consists of four independent variables namely learning styles, teaching strategies, need for cognition, and meta-cognition. And one dependent variable that is academic achievement. In order to reach major and minor research objectives, the author develops a survey instrument with a proper standard and introduces a quantitative approach involving the distribution of questionnaires among students implementable in any educational centers. Total collected data can be analyzed through the Statistical Package for Social Science (SPSS) or Structural Equation Modeling via Analysis of Moment Structure (AMOS) program (SEM-AMOS). In order to answer research questions and testing developed hypotheses of this study, reliability test, descriptive statistics, factor analysis, correlation test, and multiple regression analyses can be run in SPSS and it can be run confirmatory factor analysis (CFA) in AMOS program with two-step strategy proposed by (Anderson and Gerbing 1988). The contribution of this scientific research will be pragmatic for academics in this research era because of the comprehensive research model. Also, this research has an outstanding role in bringing insight and realization for deputy deans, rectorates in the educational centers. Finally, the value of findings will be beneficial for promoting and increasing the level of academic achievement through learning styles, teaching strategies, need for cognition, and meta-cognition.

Collaborative consumption: the role of familiarity and trust among Millennials

2018 ◽  
Vol 35 (4) ◽  
pp. 377-391 ◽  
Author(s):  
Christoph Mittendorf
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Research Model ◽  
Collaborative Consumption ◽  
Content Type ◽  
User Intentions ◽  
Structural Relationships ◽  
Confirmatory Factor ◽  
The Impact

PurposeThis paper aims to focus on online hospitality platforms in the collaborative consumption environment. In particular, this paper investigates the impact of trust on the obtainers’ intentions to “inquire about accommodations” and to “request a booking” on Airbnb.com.Design/methodology/approachThis paper takes the perspective of a potential renter, respectively, obtainer and adopts Gefen’s (2000) research model, which incorporates familiarity and trust in the e-commerce industry. In this regard, the paper extends the work on two-sided markets of Mittendorf (2016-2017). To verify the modified research model, a survey was conducted, gathering results from over 426 participants of which 255 valid responses from the Millennials generation were obtained. This paper uses covariance-based structural equation modeling to analyze both measurement and structural relationships regarding the interaction framework.FindingsThe results show empirical evidence that both “trust in the intermediary” and “trust in providers” are decisive for the obtainers’ intentions on the online platform. In this regard, this paper advances the understanding of the collaborative consumption mechanisms by adapting trust literature to validate the obtainers’ intentions on contemporary collaborative consumption platforms.Research limitations/implicationsWhile the unit of analysis of prior research comprises the general intention to share, this paper empirically validates a more deliberate decision of user intentions by focusing on the intention to inquire about accommodations (no registration necessary) and the intention to request a booking (registration necessary). However, this study is dependent on one setting and it is still unclear whether the results are generalizable to other collaborative consumption setups.Originality/valueThis paper is in line with the work of Mittendorf (2016-2017), thus, it uses a sophisticated statistical approach to analyze trust in the collaborative consumption environment, such as confirmatory factor analysis and structural equation modeling.

scholarly journals Determinants of access to the SARS-CoV-2 vaccine: a preliminary approach

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Brigitte Renata Bezerra de Oliveira ◽  
Ana Iza Gomes da Penha Sobral ◽  
Marcelo Luiz Monteiro Marinho ◽  
Marcos Felipe Falcão Sobral ◽  
André de Souza Melo ◽  
...  
Keyword(s):  
Human Development ◽  
Structural Equation ◽  
The United States ◽  
Equation Modeling ◽  
Income Poverty ◽  
Socioeconomic Indicators ◽  
Extreme Poverty ◽  
Explanatory Variables ◽  
Endogenous Variables ◽  
The Impact

Abstract Background The determinants of access to immunizers are still poorly understood, leading to questions about which criteria were considered in this distribution. Given the above, the present study aimed to analyze the determinants of access to the SARS-CoV-2 vaccine by different countries. Methods The study covered 189 countries using data from different public databases, and collected until February 19, 2021. We used eight explanatory variables: gross domestic product (GDP), extreme poverty, human development index (HDI), life expectancy, median age, coronavirus disease 2019 (COVID-19) cases, COVID-19 tests, and COVID-19 deaths. The endogenous variables were total vaccine doses, vaccine doses per thousand, and days of vaccination. The structural equation modeling (SEM) technique was applied to establish the causal relationship between the country's COVID-19 impact, socioeconomic variables, and vaccine access. To support SEM, we used confirmatory factor analysis, t-test, and Pearson's correlation. Results We collected the sample on February 19, and to date, 80 countries (42.1%) had already received a batch of immunizers against COVID-19. The countries with first access to the vaccine (e.g., number of days elapsed since they took the first dose) were the United Kingdom (68), China (68), Russia (66), and Israel (62). The countries receiving the highest doses were the United States, China, India, and Israel. The countries with extreme poverty had lower access to vaccines and the richer countries gained priority access. Countries most affected by COVID (deaths and cases) also received immunizers earlier and in greater volumes. Unfortunately, similar to other vaccines, indicators, such as income, poverty, and human development, influence vaccines' access. Thus affecting the population of vulnerable and less protected countries. Therefore, global initiatives for the equitable distribution of COVID need to be discussed and encouraged. Conclusions Determinants of vaccine distribution consider the impact of the disease in the country and are also affected by favorable socioeconomic indicators. The COVID-19 vaccines need to be accessible to all affected countries, regardless of their social hands.

scholarly journals Structural equation modeling of mental health in gentrifying neighborhoods in Austin, Texas

Open Health ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 21-39
Author(s):  
Ayodeji Emmanuel Iyanda ◽  
Yongmei Lu
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
The United States ◽  
Life Course Perspective ◽  
City Government ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Bivariate Correlation ◽  
The Impact ◽  
The City

Abstract Having poor mental health can be life-threatening, and problems tied to it are prevalent in communities across the United States (US). The city of Austin is one of the ten cities in the US undergoing rapid urban gentrification; however, there is insufficient empirical evidence on the impact of this process on residents’ health. Consequently, this study explored the concept of weathering and life course perspective using data of 331 residents recruited from two regions endemic with gentrification to assess the health impacts of gentrification. We used a triangulation method including univariate, bivariate correlation, and multiple linear regression implemented through the structural equation model to examine the complex pathways to three health outcomes—measured stress, self-rated mental health, and depression symptoms. Bivariate Pearson’s correlation indicated a significant positive association between gentrification score and mental health symptoms and stress. However, the direct association between gentrification and depression disappeared in the causal/path model. In support of the weathering hypothesis, this study found that stress score was directly related to the adulthood depression score. Therefore, this research builds on the accumulating evidence of environmental stress and mental health in the US’s rapidly changing physical and sociocultural environment. Hence, implementing and guaranteeing social equity of resources will improve residents’ health and reduce the cost of health care spending at both the household level and the city government level.

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