Assessing the telemedicine acceptance for adults in Brazil

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Karina M. Serrano ◽  
Glauco H.S. Mendes ◽  
Fabiane L. Lizarelli ◽  
Gilberto M.D. Ganga
Keyword(s):  
Digital Divide ◽  
Structural Equation ◽  
Statistical Significance ◽  
Primary Data ◽  
Equation Modeling ◽  
Intention To Use ◽  
Telemedicine Service ◽  
Content Type ◽  
Three Generations ◽  
Security And Reliability

PurposeThis study aimed to find factors influencing the acceptance of telemedicine for adults in Brazil. Moreover, it investigates the moderating role of disease complexity and the generational digital divide phenomenon on the intention to use the telemedicine service.Design/methodology/approachA quasi-experiment was employed. Primary data were collected using a survey research method considering two different scenarios based on disease complexity and symptom severity. A total of 248 responses were collected using a structured questionnaire. The authors also tested these two scenarios in three generations (X, Y and Z) of adults. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the collected data and test the research hypotheses.FindingsThe results indicated that performance expectancy and perceived security and reliability are two predictors of the behavioral intention to use telemedicine, whereas effort expectancy and social influence showed no statistical significance. Furthermore, the results demonstrated that adults tend to adopt telemedicine regardless of the level of disease complexity. Finally, this study does not support the existence of a digital divide in the three generations.Originality/valueThe study applies the UTAUT model to assess the telemedicine acceptance for younger generations. It examines patient risk perception (security and reliability) as one antecedent of telemedicine acceptance.

Examining the intentions of a Ghanaian technical university students to use e-library

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eugene Okyere-Kwakye ◽  
Khalil Md Nor
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Library Resources ◽  
Technical University

Purpose Electronic library (E-library) is a form of computer mediated system that uses electronic media, such as Web/internet devices and distributes resources to improve on the quality of teaching and learning. Students’ use of e-library for learning is essential and as such the government has invested hugely into its subscription for several university libraries in Ghana. However, most university students feel reluctant to use the e-library resources for their studies. The purpose of this paper is therefore to examine the factors that influence students’ intention to use e-library resources for their studies. Design/methodology/approach Questionnaire was used to collect data from 200 students from one Technical University in Ghana. Structural equation modeling (SmartPLS) was used to analyze the data. Findings The study found that accessibility, attitude, perceived ease of use, perceived usefulness and relevance to studies have positive significant effect on students’ attitude to use e-library. In addition, self-efficacy, subjective norm and attitude have positive significant influence on students’ intention to use e-library. Research limitations/implications Although the sample frame used for this study may be unique, but the total amount of data collected was limited to providing the general representative of the Ghanaian students in one particular university. Other researchers may consider collecting data from other universities to extend the sample frame for a larger sample size of students. Practical implications Academic administrators need to organize training and workshops on how to use the e-library portal for their search and other didactic assignments. Most importantly, students should be given IT or internet tutorials as foundation for the use of the e-library portal. Social implications Universities have to provide internet access such as hotspot and network routers at the labs, classrooms and other vantage points. It is believed that with these in place, adequate access to the internet would promote students’ engagement on the e-library facility. Originality/value The study examines the factors that influence students’ intention to use e-library resources for their studies in Ghana.

Information technologies and seaport operational efficiency

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sandra Adabere ◽  
Kwame Owusu Kwateng ◽  
Esther Dzidzah ◽  
Francis Tetteh Kamewor
Keyword(s):  
Structural Equation ◽  
Information Technologies ◽  
Operational Efficiency ◽  
Sub Saharan Africa ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
Mediating Role ◽  
Sub Saharan ◽  
Positive Direct

PurposeThe introduction of information technology (IT) in port operations has been a tremendous contributor to transformation in world trade. This study was carried out to examine the influence of IT on the efficiency of seaport operations.Design/methodology/approachThe study is quantitative in nature, and it relied on a closed-ended self-administered questionnaire to collect primary data. Structural equation modeling (SEM) was used to test the theoretical model and hypothesis.FindingsThe results indicate that IT has a positive direct effect on port operational efficiency (OE) and an indirect effect on port OE through organizational culture (OC). The mediating role of OC is statistically insignificant.Originality/valueThis is among the first few attempts in Sub-Saharan Africa (SSA) that provides researchers with a contemporary view of IT and seaport operations.

scholarly journals Efeito da gamificação na intenção de uso de treinamentos on-line: uma adaptação do modelo UTAUT aplicado no TRT-2

2019 ◽  
Vol 12 (3) ◽  
pp. 472
Author(s):  
Ludmilla Cavarzere de Oliveira ◽  
Luis Hernan Contreras Pinochet ◽  
Ricardo Luiz Pereira Bueno ◽  
Mauri Aparecido de Oliveira
Keyword(s):  
Structural Equation ◽  
Statistical Significance ◽  
Learning By Doing ◽  
Equation Modeling ◽  
Intention To Use ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Regional Labor ◽  
On Line ◽  
Facilitating Conditions

The objective of this research was to analyze the effect of gamification on intention to use online training from the partial validation of the UTAUT model for qualification of members and servers of the Regional Labor Court of the 2nd Region (TRT-2). The study analyzed the relationship between constructs performance expectancy, effort expectancy, facilitating conditions, and familiarity with the intention to use gaming in distance media.  This was conducted through an empirical application, which used the Structural Equation Modeling (SEM) for data analysis. The research was a single cross-sectional survey, carried out with TRT-2 members and servers who participated in the distance-feeding course ‘Healthy Living’ in 2015. Of the four hypotheses, only familiarity (F) was not significant as it did not serve as a behavioral intentions (BI) predictor of gamification for distance learning courses. Some explanations for such phenomenon may be career promotion and additional qualifications, learning by doing and sample size. The results confirmed that most hypotheses have a high statistical significance of the structural paths and have demonstrated that the model proposed in this study is consistent and can be applied in future studies with appropriate adjustments.

Structural equation modeling of residents' attitudes and tourism development: a SET based - study of the Kashmir region in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aasif Ali Bhat ◽  
Kakali Majumdar
Keyword(s):  
Structural Equation Modeling ◽  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Tourism Development ◽  
Exchange Theory ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
The Social

PurposeThe present study tries to develop a model that assesses the factors that determine support for tourism development by residents of the Kashmir region.Design/methodology/approachPrimary data have been collected (n = 650) from the residents of the top five tourist destinations through a pre-tested questionnaire by a multistage convenient sampling method. A model has been drafted and tested through the technique of structural equation modeling by applying the social exchange theory as a theoretical framework.FindingsThe results revealed that residents who perceived more benefits were more expected to support tourism development, and residents who perceive more costs were less expected to support tourism development, thus supporting the social exchange theory.Originality/valueThe results of this study are extremely useful for the local government and tourism institutions in the future planning of tourism development and also fill the vast gap in the tourism literature with a theoretical base.

Barriers to radical innovation in research institutions in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianhua Yang ◽  
Rafif Al-Sayed
Keyword(s):  
Theoretical Model ◽  
Latent Variables ◽  
Structural Equation ◽  
Business Models ◽  
Research Collaboration ◽  
Statistical Significance ◽  
Radical Innovation ◽  
Equation Modeling ◽  
Research Institutions ◽  
Content Type

Purpose This study aims to develop a better understanding of radical innovation performance and proposes a comprehensive and theoretical model of the barriers impeding radical innovation from the perspective of researchers working in research institutions in China. Both quantitative and qualitative techniques were used to test the hypotheses regarding barriers to radical innovation and the model proposed in this research. Design/methodology/approach The data was collected through questionnaires and semi-structured interviews with researchers from different research institutions across several cities in China. Next, the data was analyzed by deploying the structural equation modeling technique and calculating the statistical significance of correlations, regression and path coefficients among the latent variables. Findings The results indicated the major barriers impeding radical innovation in Chinese research institutes. Based on these findings, suggested policies, regulations and business models are put forward that can promote radical innovation in these institutes through increasing research freedom, enhancing organizational flexibility, attracting talented researchers and expanding research collaboration. Originality/value The research proposes a comprehensive and theoretical model of the barriers impeding radical innovation from the perspective of researchers working in research institutions in China.

scholarly journals The importance of knowledge and trust for ethical fashion consumption

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yongdan Liu ◽  
Matthew Tingchi Liu ◽  
Andrea Pérez ◽  
Wilco Chan ◽  
Jesús Collado ◽  
...  
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Reference Group ◽  
Subjective Norm ◽  
Ethical Consumption ◽  
Primary Data ◽  
Dominant Factor ◽  
Equation Modeling ◽  
Content Type ◽  
Tpb Model

PurposeThe clothing industry is one of the most polluting industries in the world, although manufacturers and retailers are trying to revert this tendency by applying ethical fashion principles. Drawing on the knowledge–attitude–behavior (KAB) model or practice, this study aims to predict Chinese consumers' purchase intention of ethical fashion by employing and extending the theory of planned behavior (TPB).Design/methodology/approachThe extended TPB model incorporates knowledge of ethical fashion and trust in the fashion industry and two critical variables in ethical fashion literature to explain the purchase intention of ethical fashion. Primary data from 245 Chinese respondents were collected in 2019. The model was tested and analyzed through structural equation modeling (SEM).FindingsResults show that the extended TPB model has higher predictability than the original TPB model. Attitude toward ethical fashion and subjective norm significantly predicts purchase intention while perceived behavioral control (PBC) does not. In addition, trust of ethical fashion is positively related to attitude toward ethical fashion and purchase intention, whereas knowledge of ethical fashion plays a significant role in predicting trust and the three TPB factors. The subjective norm was found to have the most significant impact on consumers' intention to purchase ethical fashion, which shows that social pressure from one individual's reference group is the most dominant factor in forming consumer's purchase intention on ethical fashion.Originality/valueThe findings enrich the past literature on ethical fashion that trusting belief is a salient determinant of consumers' attitude toward ethical fashion and purchase intention of ethical fashion products. The findings also supported the applicability of KAB and TPB in the domain of ethical consumption in the context of a developing country.

Motivating factors in a teacher’s research and developmental activities and their impact on effective quality teaching in higher education institutions

2019 ◽  
Vol 12 (4) ◽  
pp. 609-632
Author(s):  
Debarun Chakraborty ◽  
Wendrila Biswas
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Research And Development ◽  
Structural Equation ◽  
Teaching Quality ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
Research Activities ◽  
Higher Educational

Purpose Research and development pursuits have always been an integral part of a teacher’s professional development. Today, the higher educational institutes (HEIs) are chiefly prioritizing and providing a sustained support toward research-based and research-oriented learning. But as revealed by the broad outlines of the entire scenario, a fall in research productivity and developmental attempts is witnessed among the faculties of higher educational establishments. To put it succinctly, the motivating aspects that reinforce such activities are not adequately taken care of and have thwarted their progression. The purpose of this paper is to delve deep and explore the factors that inspire teachers toward an enriched research and learning, which equally gets reflected in their teaching practices. Design/methodology/approach This is a descriptive research with a cross-sectional survey on faculties from different HEIs of West Bengal. A questionnaire has been designed with a five-point Likert scale to draw the primary data. Convenience sampling technique has been utilized. Exploratory factor analysis and confirmatory factor analysis have been performed with structural equation modeling on the hypothesized research model through AMOS. Findings The major findings of the research have revealed that improved research and development activities of faculties had an immense impact on their teaching quality. The level and accessibility of infrastructure posits a strong influence in augmenting a teacher’s research and developmental endeavors. Working climate influences teachers’ research activities as well their teaching adroitness. Research limitations/implications Results may vary when an extensive study is conducted on teachers of HEIs of two or more states or of the country as a whole. Suppression of the real underlying facts by few respondents may affect the result to a small extent. Practical implications When faculties orient themselves toward research intensive learning and teaching, the students actively get involved in a platform of greater interaction. It elevates their persistence level, intellectual curiosity, critical thinking and cognitive skills. Research-based teaching is also instrumental in honing their analytical skills, promoting creativity. Originality/value The study identified a vital role of the higher education institutes in motivating the faculties toward research-based teaching. There is a dearth of empirical research in identifying the factors that enrich the learning patterns and research activities of the teachers. Thus, it can prove to be a constructive study if implemented.

Participatory HRM and firm performance

2019 ◽  
Vol 41 (5) ◽  
pp. 1098-1119 ◽  
Author(s):  
Neha Gahlawat ◽  
Subhash C. Kundu
Keyword(s):  
Firm Performance ◽  
Organizational Climate ◽  
Structural Equation ◽  
Affective Commitment ◽  
Intention To Leave ◽  
Employee Attitudes ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
The Relationship

Purpose The purpose of this paper is to examine the relationship between participatory HRM and firm performance through a series of mediators. Design/methodology/approach Primary data were collected from 569 respondents belonging to 207 organizations operating in India. Structural equation modeling and bootstrapping via PROCESS were used to analyze the hypothesized relationships between participatory HRM and firm performance. Findings The study has highlighted that participatory HRM in the form of self-managed teams, flexible work arrangements and empowerment results in better organizational climate, heightened affective commitment, reduced intention to leave and enhanced firm performance. Furthermore, it has been established that organizational climate, affective commitment and intention to leave serially mediate the relationship between participatory HRM and firm performance. Practical implications The study gives strong indications that adopting bundle of participatory HRM practices is beneficial for generating positive organizational climate, enhanced employee attitudes and superior firm performance. Originality/value By establishing serial mediation through organizational climate, affective commitment and employees’ intention to leave, this study brings new insights into the interpretation of underlying mechanism existing between participatory HRM and firm performance, thus uniquely contributes to the HRM and OB literature.

Recruitment methods, recruitment outcomes and information credibility and sufficiency

2020 ◽  
Vol 27 (4) ◽  
pp. 1615-1631 ◽  
Author(s):  
Ashutosh Muduli ◽  
Jeegnesh J. Trivedi
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Service Sector ◽  
Theoretical Implication ◽  
Equation Modeling ◽  
Intention To Use ◽  
Validity And Reliability ◽  
Content Type ◽  
Recruitment Methods ◽  
Information Credibility

PurposeRecruiters’ decision to use recruitment methods (RMs) depends on several expected outcomes such as number applications, quality of applicants, speed of filling up vacancy, post joining job performance, absenteeism, commitment and satisfaction of the applicants. RMs may vary from each other in terms of its capability to communicate different type of information. The current research aims at exploring recruiter's intention to use RMs like job advertisement (JA), online recruitment (OLR) and social media in reference to several recruitment outcomes (ROs). Further, the role of information credibility and sufficiency (ICS) on recruiter's intention to use has been studied.Design/methodology/approachData were collected from 242 recruiters from the manufacturing and service sector of India. The survey instrument consists of RMs, recruitment outcome and credibility and satisfaction that are identified following the theory of planned behavior (TPB). Confirmatory factor analysis (CFA) was used for a simultaneous assessment of overall and specific elements of measurement validity and reliability. Structural equation modeling (SEM) is used to test the hypothesized model.FindingsThe result shows that RMs significantly relates with ROs. In detail, social media recruitment (SMR) significantly relates with pre ROs and post ROs; OLR significantly relates with pre ROs and post ROs and JA significantly relates post ROs. Only JA insignificantly relates with pre ROs. The result also supports the hypothesis that ICS acts as a mediator between the influences of RMs on ROs.Research limitations/implicationsThe result of the study has important theoretical and managerial implications. The theoretical implication is explained from the perspective of signaling theory (ST) and elaboration likelihood model (ELM) theory.Originality/valueThe study is unique as multiple RMs have been studied with reference to both pre and post ROs using the data collected from the recruiters.

A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption

2019 ◽  
Vol 21 (4) ◽  
pp. 419-438 ◽  
Author(s):  
Shamim Talukder ◽  
Raymond Chiong ◽  
Sandeep Dhakal ◽  
Golam Sorwar ◽  
Yukun Bao
Keyword(s):  
Neural Network ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Government Service ◽  
Content Type ◽  
Service Adoption ◽  
Government Services ◽  
Performance Expectancy ◽  
And Performance

Purpose Despite the widespread use of mobile government (m-government) services in developed countries, the adoption and acceptance of m-government services among citizens in developing countries is relatively low. The purpose of this study is to explore the most critical determinants of acceptance and use of m-government services in a developing country context. Design/methodology/approach The unified theory of acceptance and use of technology (UTAUT) extended with perceived mobility and mobile communication services (MCS) was used as the theoretical framework. Data was collected from 216 m-government users across Bangladesh and analyzed in two stages. First, structural equation modeling (SEM) was used to identify significant determinants affecting users' acceptance of m-government services. In the second stage, a neural network model was used to validate SEM results and determine the relative importance of the determinants of acceptance of m-government services. Findings The results show that facilitating conditions and performance expectancy are the two important precedents of behavioral intention to use m-government services, and performance expectancy mediates the relationship between MCS, mobility and the intention to use m-government services. Research limitations/implications Academically, this study extended and validated the underlying concept of UTAUT to capture the adoption behavior of individuals in a different cultural context. In particular, MCS might be the most critical antecedent towards mobile application studies. From a practical perspective, this study may provide valuable guidelines to government policymakers and system developers towards the development and effective implementation of m-government systems. Originality/value This study has contributed to the existing, but limited, literature on m-government service adoption in the context of a developing country. The predictive modeling approach is an innovative approach in the field of technology adoption.

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