scholarly journals Optimal Experience in Adult Learning: Conception and Validation of the Flow in Education Scale (EduFlow-2)

2021 ◽  
Vol 12 ◽  
Author(s):  
Jean Heutte ◽  
Fabien Fenouillet ◽  
Charles Martin-Krumm ◽  
Gary Gute ◽  
Annelies Raes ◽  
...  

While the formulation of Mihaly Csikszentmihalyi's theory of flow, including the experience dimensions, has remained stable since its introduction in 1975, its dedicated measurement tools, research methodologies, and fields of application, have evolved considerably. Among these, education stands out as one of the most active. In recent years, researchers have examined flow in the context of other theoretical constructs such as motivation. The resulting work in the field of education has led to the development of a new model for understanding flow experience in education, specifically dedicated to adult learning. As a result of both a meticulous analysis of existing models and consideration of more recent developments, a new flow scale has thus been developed. The aim of this study is therefore twofold: to validate the new flow measurement scale dedicated to the educational environment, EduFlow-2, and to test a new theoretical model. Students taking a course (N = 6,596), some on-site and others in a MOOC, participated. Several scales were administered online at the end of the participants' course during the 2017 academic year. The factor structure of EduFlow-2 was tested using Exploratory Structural Equation Modeling. Several models were tested. The model with a second-order factor best fit the data. We tested the invariance of the flow scale measure for gender and for the type of training (MOOC/on-site). We were able to show that the flow scale is invariant of the modalities of these two variables. Results revealed good psychometric qualities for the scale, making it suitable for both on-site and distance learning. The analysis also revealed significant relationships with the classic variables of motivation, self-efficacy, learning climate, and life satisfaction. Furthermore, all four dimensions of the model were found to be adequate and consistent with the underlying theoretical arguments. In the end, this new, short flow scale and the theoretical model were demonstrated to be promising for future studies in the field of education.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hichang Cho

PurposeMany internet users exhibit signs of privacy helplessness and entirely give up online privacy management. However, we know little about what privacy helplessness is, when users are likely to experience it and its implications for privacy behavior. The objectives of this study were twofold: (a) the conceptual explication of privacy helplessness as a novel construct in privacy research and (b) the development of a theoretical model that specifies the antecedents and consequences of privacy helplessness.Design/methodology/approachA research model of privacy helplessness that contains three subcomponents of privacy helplessness, five antecedents and one outcome was developed. The model was empirically examined based on survey data collected from 589 Facebook users in the USA.FindingsThe results of exploratory and confirmatory factor analyses showed that privacy helplessness is adequately assessed by a three-factor model with affective, cognitive and motivational components. The results of structural equation modeling indicated that these three aspects of privacy helplessness are uniquely predicted by five theoretical factors: (a) prior experience of privacy risks, (b) personal mastery, (c) perceived costs of adaptive privacy actions, (d) perceived rewards of privacy inactions and (e) perceived vulnerability. Furthermore, it was found that helplessness as motivational deficits (and cognitive helplessness via this) impedes adaptive privacy actions, while cognitive helplessness promotes adaptive privacy actions when they do not result in motivational deficits.Originality/valueThis study pioneers investigation in understanding key constituents, attributes and processes underlying privacy helplessness. First, the present study developed the first theory-derived, successively validated measurement model of privacy helplessness. Second, this research proposed a theoretical model of privacy helplessness, specifying antecedents and consequences of privacy helplessness.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Le Dang Lang ◽  
Abhishek Behl ◽  
Nguyen Trung Dong ◽  
Yama Temouri ◽  
Nguyen Hong Thu

PurposeCoronavirus disease 2019 (COVID-19) has seriously affected the global economy. How agribusinessmen are overcoming this crisis is being noticed in emerging markets. Using social capital to diversify agribusiness for getting more customers is a useful solution for the growth of agribusiness. However, there is a lack of evidence on the aggregate measurement scale of social capital and the influence of behavioral goals on the intention toward agribusiness diversification. Therefore, this study aims to develop an integrated measurement of social capital and investigate its effect on agribusiness diversification intention using the expanded theory of planned behavior (TPB).Design/methodology/approachA mixed-methods approach is used, including four in-depth interviews, three focus group discussions and two surveys. Structural equation modeling is applied to a sample of 484 respondents to test the proposed hypotheses.FindingsThe study shows the role of social capital in influencing the intention to diversify agribusiness under the premises of the resource-based view (RBV). The scale of social capital is also developed, which is the first integrated measurement of this asset. The findings contribute significantly to the existing knowledge of social capital, the TPB and diversifying agribusiness.Originality/valueThis is the first study to explore the comprehensive effect of the facets of social capital on behavioral intention through behavioral goals and determinants of the TPB under the premises of the RBV. The findings will help emerging economies, for example, Vietnam, where most farmers are family business owners or microscaled entrepreneurs in agriculture.


Author(s):  
Gisele Hespanhol Dorigan ◽  
Edinêis de Brito Guirardello

ABSTRACT Objective: to propose and analyze a theoretical model to measure the effect of nurses’ perceptions about the practice environment on safety climate, job satisfaction, intention to stay employed and in the profession, and burnout syndrome. Method: correlational study with probabilistic sample of 465 nurses. In the theoretical model, the dimensions of the nursing practice environment were considered as independent variables and job satisfaction, safety climate, intention to stay employed and in the profession, and burnout were considered the outcome variables. Structural Equation Modeling was the method used in the analysis. Results: small adjustments were made in the model and the dimensions of practice environment predicted job satisfaction (R2 = 43%), safety climate (R2 = 42%) and burnout (R2 = 36%), as well as the intention to stay in the job (R2 = 22%) and in the profession (R2 = 17%). Conclusion: the practice environment showed a strong impact on job satisfaction, safety climate and burnout, with a moderate impact on the intention to stay in the institution and in the profession. The findings can be used to manage care in health institutions, focusing on promoting nurse retention and improving the safety climate.


Teknologi ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 93-109
Author(s):  
Anthony Eko Hadisuwarno ◽  
◽  
Rahadian Bisma ◽  

This study aims to determine user acceptance and what factors influence user acceptance of E-Kinerja. The theoretical model used is a combination of the theoretical model of technology adoption of TRAM (Technology Readiness Acceptance Model) and EUCS (End User Computing Satisfaction). For example, the intention to use variable in the TRAM (Technology Readiness Acceptance Model) model is used as a link between the two models in this study. This research was conducted in Sidoarjo Police by using a questionnaire that was distributed directly as a source of data with probability sampling technique involving the participation of 229 respondents from Sidoarjo Police as members of the e-Kinerja application. The data analysis technique used is PLS-SEM (Partial Least Square-Structural Equation Modeling). The results of this study state that there are seven positive and ten negative hypotheses. The findings of this study are the user's intention to positively influence user satisfaction in using the e-Kinerja application which can be interpreted that the user feels satisfied and accepts the e-Kinerja application as an information system that can help reporting and calculating the performance of each member of the Sidoarjo Police.


2020 ◽  
Vol 9 (2) ◽  
pp. 157-170
Author(s):  
Annisa Safitri ◽  
Budi Rustandi Kartawinata

The purpose of this study was to determine the financial management behavior of employed women in Bandung. This research uses a quantitative method and a Likert scale for measurement scale.  The sample of this study was 400 respondents who are employed women in Kota Bandung were selected using incidental sampling techniques. The independent variable consists of financial socialization and financial experience, while the dependent variable is financial management behavior. The data analysis technique in this research is Structural Equation Modeling-Partial Least Square (SEM-PLS) using SmartPLS software. The results of financial socialization on financial management behavior has a tstatistics value of 25.220> ttabel value of 1.96 means that the financial socialization variable has a positive and significant effect on financial management behavior, then the financial experience on financial management behavior has a tstatistics value of 1.641 < ttabel value of 1.96 means that the financial experience does not have a positive and significant effect on the financial management behavior variable.   Keywords: Financial Socialization, Financial Experience, Financial Management Behavior   ABSTRAK Penelitian ini bertujuan untuk mengetahui financial management behavior dari Wanita Bekerja di Kota Bandung. Penelitian ini menggunakan metode kuantitatif dan skala likert sebagai skala pengukuran. Sampel yang digunakan dalam penelitian ini sebanyak 400 responden yang merupakan Wanita Bekerja di Kota Bandung yang dipilih menggunakan teknik incidental sampling. Variabel independen terdiri dari financial socialization dan financial experience, sedangkan variabel dependen adalah financial management behavior. Penelitian ini menggunakan teknik analisis data Structural Equation Modeling- Partial Least Square (SEM-PLS) menggunakan software SmartPLS. Hasil penelitian menunjukkan financial socialization terhadap financial management behavior memiliki nilai memiliki pengaruh positif dan signifikan terhadap financial management behavior dengan tstatistik sebesar 25,220> nilai ttabel sebesar 1.96, kemudian variabel financial experience tidak berpengaruh positif dan signifikan terhadap financial management behavior dengan nilai tstatistik sebesar 1,641< nilai ttabel   sebesar 1.96. Kata Kunci: Financial Socialization, Financial Experience, Financial Management Behavior


2020 ◽  
Vol 4 (1) ◽  
pp. 1-16
Author(s):  
Gabriel C. W. Gim ◽  
Wen-Sing Cheah

Using social exchange theory and equity theory, this paper examined the relationship between the four dimensions of pay satisfaction and organisational trust among Malaysian employees. The four dimensions of pay satisfaction are pay benefit satisfaction, pay level satisfaction, pay raise satisfaction,and pay structure and administration satisfaction. Questionnaires were distributed to Malaysians working in several industries. Partial least squares structural equation modeling (PLS-SEM) was used to assess both the measurement and structural model. Results from the structural model revealed that pay benefit satisfaction, pay raise satisfaction, and pay structure and administration satisfaction were positively related to organisational trust. To complement the standard structural model assessment, robustness checks were performed on the structural model in terms of non-linear effects, endogeneity, and unobserved heterogeneity. The checks concluded that there were no issues with regards to nonlinear effects and unobserved heterogeneity. However, the endogeneity test indicated that pay structure and administration satisfaction could be endogenous. Importance-performance map analysis (IPMA) was also performed to gauge the importance and performance of each dimension of pay satisfaction against organisational trust. The IPMA results revealed that pay structure and administration satisfaction was the most important factor yet it attained the lowest score on performance indicating that organisations in Malaysia should make an improvement to their pay structure and administration satisfaction.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wioleta Kucharska

Purpose This study aims to understand and compare how the mechanism of innovative processes in the information technology (IT) industry – the most innovative industry worldwide – is shaped in Poland and the USA in terms of tacit knowledge awareness and sharing driven by a culture of knowledge and learning, composed of a learning climate and mistake acceptance. Design/methodology/approach Study samples were drawn from the IT industry in Poland (n = 350) and the USA (n = 370) and analyzed using the structural equation modeling method. Findings True learning derives from mistake acceptance. As a result of a risk-taking attitude and critical thinking, the IT industry in the USA is consistently innovation-oriented. Specifically, external innovations are highly correlated with internal innovations. Moreover, a knowledge culture supports a learning culture via a learning climate. A learning climate is an important facilitator for learning from mistakes. Originality/value This study revealed that a high level of mistake acceptance stimulates a risk-taking attitude that offers a high level of tacit knowledge awareness as a result of critical thinking, but critical thinking without readiness to take a risk is useless for tacit knowledge capturing.


2018 ◽  
Vol 29 (2) ◽  
pp. 513-538 ◽  
Author(s):  
Shirish Jeble ◽  
Rameshwar Dubey ◽  
Stephen J. Childe ◽  
Thanos Papadopoulos ◽  
David Roubaud ◽  
...  

PurposeThe purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.Design/methodology/approachThe authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.FindingsThe statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support forH4. Although the authors did not find support forH4(moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.Originality/valueThis study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianhua Yang ◽  
Rafif Al-Sayed

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.


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