scholarly journals Predicting and Explaining the Acceptance of Social Video Platforms for Learning: The Case of Brazilian YouTube Users

2019 ◽  
Vol 11 (24) ◽  
pp. 7115
Author(s):  
Patricio Ramírez-Correa ◽  
Ari Mariano-Melo ◽  
Jorge Alfaro-Pérez
Keyword(s):  
Developing Countries ◽  
Social Influence ◽  
Least Squares ◽  
Partial Least Squares ◽  
Predictive Power ◽  
Structural Equations ◽  
Research Model ◽  
Structural Equations Modeling ◽  
Perception Of Performance

This study aims to predict and explain the acceptance of social video platforms for learning. A research model is proposed that explains that the intention of using these platforms is based on the perception of performance, social influence, and hedonic motivation. To validate the model, 568 Brazilian YouTube users were surveyed. The data were analyzed with partial least squares structural equations modeling (PLS-SEM). In particular, the predictive power of the model was assessed using the PLSpredict procedure. The results of this study can help to understand and forecast the use of these platforms for learning in developing countries.

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 Do Innovation and Cooperation Influence SMEs’ Competitiveness? Evidence From the Andalusian Metal-Mechanic Sector

Innovar ◽  
2015 ◽  
Vol 25 (55) ◽  
pp. 101-115
Author(s):  
Juan A. Tamayo ◽  
José E. Romero ◽  
Javier Gamero ◽  
Juan A. Martínez-Román
Keyword(s):  
Quality Management ◽  
Least Squares ◽  
Partial Least Squares ◽  
Positive Influence ◽  
Structural Equations ◽  
Financial Resources ◽  
Management Knowledge

This study's main objective is to determine the influence of innovation and cooperation on the competitiveness of SMEs in the metal-mechanic sector of Andalusia (Spain). Using information obtained by interviewing managers of a sample of 80 firms, we proposed a model of structural equations based on the Partial Least Squares (PLS) technique. This model, which explained 37% of the variability of competitiveness, also allowed us to test hypotheses about the positive influence of quality management, knowledge, financial resources and cooperation on innovative outcomes. Along with the contrasted hypotheses, the most noteworthy finding was that cooperation does not significantly influence the innovative outcomes of firms in this sector.

How social influence and personality affect users’ social network fatigue and discontinuance behavior

2018 ◽  
Vol 70 (4) ◽  
pp. 344-366 ◽  
Author(s):  
Sajad Shokouhyar ◽  
Seyed Hossein Siadat ◽  
Mojde Khazeni Razavi
Keyword(s):  
Social Network ◽  
Social Influence ◽  
Least Squares ◽  
Design Methodology ◽  
Least Squares Method ◽  
Social Network Sites ◽  
Research Model ◽  
Content Type ◽  
Partial Least Squares Method ◽  
Practical Implications

Purpose The purpose of this paper is to focus on understanding how social influence and personality of individuals differentiate between users’ social network fatigue and discontinuance behavior. Furthermore, the most common discontinuance behavior among users was investigated. Design/methodology/approach The research model was tested with the data from 163 Instagram users based on online and offline surveys. The partial least squares method was used to test the proposed hypotheses of this study. Findings The results indicate that social influence affects users’ discontinuance behavior and social network fatigue. Social network fatigue is greater in users with higher reported social influence compared to those with a lower one. Moreover, in response to social network fatigue, users prefer to keep their activities under control instead of switching to alternative social network sites (SNSs) or a short break in social network activities. Practical implications By achieving a better understanding of users’ feeling and behaviors, social network providers may codify their strategies more efficiently. Originality/value The study is novel in exploring users’ SNS fatigue and their discontinuance behavior by integrating social influence and personality. The authors defined a new concept of effect of social influence on social network fatigue. Additionally, the authors examined which discontinuance behaviors in individuals were more prevalent.

scholarly journals Analisis Penerimaan Pengguna Aplikasi Cerdas Layanan Perizinan Terpadu Untuk Publik (Sicantik) Pada Dinas Penanaman Modal Dan Pelayanan Perizinan Terpadu Satu Pintu (Dpmpptsp) Menggunakan Pendekatan Utaut

2019 ◽  
Vol 8 (2) ◽  
pp. 379
Author(s):  
Putu Felika Darmawan ◽  
I made Ardwi Pradnyana ◽  
Gede Hendra Divayana
Keyword(s):  
Social Influence ◽  
Least Squares ◽  
Partial Least Squares ◽  
Performance Expectancy ◽  
Effort Expectancy

Abstrak— Penelitian ini bertujuan untuk mengetahui seberapa besar hubungan kausal antara penggunaan layanan SiCantik (use behavioral) dengan Performance Expectancy(PE), Effort Expectancy (EE), Social Influence (SI), dan Facilitating Condition (FC) yang dimoderasi oleh variabel moderator Gender (jenis kelamin) dan Age (usia).       Jenis penelitian ini adalah penelitian kausal atau sebab akibat dengan menggunakan pendekatan model UTAUT. Populasi dari penelitian ini adalah masyarakat di kabupaten Buleleng dan untuk sampelnya diambil dari data masyarakat kota Buleleng yang telak melakukan proses permohonan izin di Dinas Penanaman Modal dan Pelayanan Perizinan Terpadu Satu Pintu (DPMPPTSP) dengan jumlah sampel sebanyak 30 sampel/responden. Metode pengumpulan data yang digunakan adalah lembar angket, dan metode  pengolahan data yang dignakan adalah metode Partial Least Squares (PLS) dengan pengolahannya menggunakan aplikasi smartPLS. Kata Kunci :          smartPLS, PLS,  UTAUT, use behavioral.

scholarly journals Structural equation models - PLS in engineering sciences: a brief guide for researchers through a case applied to the industry

Athenea ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 5-18
Author(s):  
Juan Enrique Villalva A.
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Structural Equations ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Engineering Sciences ◽  
The Impact

Modeling using structural equations, is a second generation statistical data analysis technique, it has been positioned as the methodological options most used by researchers in various fields of science. The best known method is the covariance-based approach, but it presents some limitations for its application in certain cases. Another alternative method is based on the variance structure, through the analysis of partial least squares, which is an appropriate option when the research involves the use of latent variables (for example, composite indicators) prepared by the researcher, and where it is necessary to explain and predict complex models. This article presents a brief summary of the structural equation modeling technique, with an example on the relationship of constructs, sustainability and competitiveness in iron mining, and is intended to be a brief guide for future researchers in the engineering sciences. Keywords: Competitiveness, Structural equations, Iron mining, Sustainability. References [1]J. Hair, G. Hult, C. Ringle and M. Sarstedt. A Primer on Partial Least Square Structural Equation Modeling (PLS-SEM). California: United States. Sage, 2017. [2]H. Wold. Model Construction and Evaluation when Theoretical Knowledge Is Scarce: An Example of the Use of Partial Least Squares. Genève. Faculté des Sciences Économiques et Sociales, Université de Genève. 1979. [3]J. Henseler, G. Hubona & P. Ray. “Using PLS path modeling new technology research: updated guidelines”. Industrial Management & Data Systems, 116(1), 2-20. 2016. [4]G. Cepeda and Roldán J. “Aplicando en la Práctica la Técnica PLS en la Administración de Empresas”. Congreso de la ACEDE, Murcia, España, 2004. [5]D. Garson. Partial Least Squares. Regresión and Structural Equation Models. USA. Statistical Associates Publishing: 2016. [6]D. Barclay, C. Higgins & R. Thompson. “The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration”. Technology Studies. Special Issue on Research Methodology. (2:2), pp. 285-309. 1995. [7]J. Medina, N. Pedraza & M. Guerrero. “Modelado de Ecuaciones Estructurales. Un Enfoque de Partial Least Square Aplicado en las Ciencias Sociales y Administrativas”. XIV Congreso Internacional de la Academia de Ciencias Administrativas A.C. (ACACIA). EGADE – ITESM. Monterrey, México, 2010. [8]J. Medina & J. Chaparro. “The Impact of the Human Element in the Information Systems Quality for Decision Making and User Satisfaction”. Journal of Computer Information Systems. (48:2), pp. 44-52. 2008. [9]D. Leidner, S. Carlsson, J. Elam & M. Corrales. “Mexican and Swedish Managers’ Perceptions of the Impact of EIS on Organizational Intelligence, Decisión Making, and Structure”. Decision Science. (30:3), pp. 633-658. 1999.[10]W. Chin. “The partial least squares approach for structural equation modeling”. Chapter Ten, pp. 295-336 in Modern methods for business research. Edited by Macoulides, G. A., New Jersey: Lawrence Erlbaum Associates, 1998. [11]M. Höck & C. Ringle M. “Strategic networks in the software industry: An empirical analysis of the value continuum”. IFSAM VIIIth World Congress, Berlin 2006. [12]J. Henseler, Ch. Ringle & M. Sarstedt. Handbook of partial least squares: Concepts, methods and applications in marketing and related fields. Berlin: Springer, 2012. [13]S. Daskalakis & J. Mantas. “Evaluating the impact of a service-oriented framework for healthcare interoperability”. Studies in Health Technology and Informatics. pp. 285-290. 2008. [14]C. Fornell & D. Larcker: “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error”, Journal of Marketing Research, vol. 18, pp. 39-50. Februay 1981. [15]C. Fornell. A Second Generation of Multivariate Analysis: An Overview. Vol. 1. New York, U.S.A. Praeger Publishers: 1982. [16]R. Falk and N. Miller. A Primer for Soft Modeling. Ohio: The University of Akron. 1992. [17]M. Martínez. Aplicación de la técnica PLS-SEM en la gestión del conocimiento: un enfoque técnico práctico. Revista Iberoamericana para Investigación y el Desarrollo Educativo. Vol. 8, Núm. 16. 2018. [18]S. Geisser. “A predictive approach to the random effects model”. Biometrika, Vol. 61(1), pp. 101-107. 1974. [19]J. Cohen. Statistical power analysis for the behavioral sciences. Mahwah, NJ: Lawrence Erlbaum, 1988. [20]GRI (2013). G4 Sustainability Reporting Guidelines. Global Reporting Initiative. Available: www.globalreporting.org

scholarly journals The Dynamic Process of Ambidexterity in Eco-Innovation

2020 ◽  
Vol 12 (5) ◽  
pp. 2023 ◽  
Author(s):  
Lirios Alos-Simo ◽  
Antonio J. Verdu-Jover ◽  
Jose M. Gomez-Gras
Keyword(s):  
Panel Data ◽  
Least Squares ◽  
Dynamic Process ◽  
Sustainable Management ◽  
Structural Equations ◽  
Research Model ◽  
Exploration And Exploitation ◽  
Economic Profit ◽  
Key Factor ◽  
Telecom Industry

In recent years, firms’ sustainable management has been considered a key factor in the achievement of profits, but few studies analyze the antecedents and effects of eco-innovation. Our study proposes a model to analyze the factors that affect eco-innovation, as well as eco-innovation’s effects on dynamic ambidexterity. To pursue this goal, we developed a research model with panel data from 449 firms over five years from the telecom industry and tested the model using structural equations and partial least squares (PLS). Our results demonstrate the influence of R&D expenditure on eco-innovation. They show a slightly ordered sequence of exploration and exploitation results, indicating that some equilibrium between the two orientations is necessary. The study thus shows that eco-innovation facilitates ambidexterity in that exploration and exploitation alternate dynamically in the search for economic profit.

scholarly journals PLS Structure-Insecticidal Activity Relationships of Nitromethylene, Pyrrole- and Dihydropyrrole-Fused Neonicotinoids

Proceedings ◽  
2019 ◽  
Vol 41 (1) ◽  
pp. 41
Author(s):  
Ana Borota ◽  
Luminita Crisan ◽  
Alina Bora ◽  
Simona Funar-Timofei
Keyword(s):  
Force Field ◽  
Least Squares ◽  
Partial Least Squares ◽  
Insecticidal Activity ◽  
Predictive Power

A single Neonicotinoids are considered to be one of the important classes of insecticides used at the present time. In this study the partial least squares (PLS) approach is applied to a series of nitromethylene, pyrrole- and dihydropyrrole-fused neonicotinoids to model their insecticidal activity (pLC50 values) against the cowpea aphids. The structures were modeled using the MMFF94s force field. A robust PLS model (3PCs, R2X(Cum) = 0.963, R2Y(cum) = 0.870 and Q2(Cum) = 0.796) with predictive power (CCCext = 0.873, r2m = 0.680, Q2F1 = 0.805, Q2F2 = 0.802, Q2F3 = 0.704) is obtained. New insecticides active against the cowpea aphids can be predicted.

scholarly journals Gestión equitativa, fuente de empoderamiento personal y compromiso afectivo

2019 ◽  
Vol 17 (3) ◽  
Author(s):  
Alberto Díaz Rosillo ◽  
Arístides Alfredo Vara Horna ◽  
Zaida Asencios González ◽  
Raquel Chafloque Céspedes ◽  
Inés Santi Huaranca
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equations ◽  
Work Life ◽  
Personal Life ◽  
Research Article ◽  
Working Groups ◽  
The Relationship

This research article aims to establish whether equitable management by managers improves the personal role of their employees thanks to the skills acquired in the work and if this improvement of the personal role could mediate the relationship between equitable management and identification with the company. The method used was a self-reported questionnaire to 19 working groups led by a manager, 398 women and 413 men. Structural equations by partial least squares (SEM-PLS) are applied. Results: the equitable behavior of the managers favors the personal life of the employees although the relationship and its intensity are not high. The models with a mediating variable of work-life enrichment explain the relationship between an equitable management with the identification with the company. Other results and differences between sexes and the gender of the manager are discussed.RESUMENEste artículo de investigación pretende establecer si la gestión equitativa por parte de los gerentes mejora el rol personal de sus empleados gracias a las habilidades adquiridas en el trabajo y si esta mejora del rol personal pudiera mediar la relación entre la gestión equitativa y la identificación con la empresa. El método empleado fue un cuestionario auto-informado a 19 grupos de trabajo dirigidos por un gerente/a, 398 trabajadoras y 413 trabajadores. Se aplican ecuaciones estructurales por mínimos cuadrados parciales (SEM-PLS). Resultados: la conducta equitativa de los gerentes favorece la vida personal de los/las empleados, aunque la relación y su intensidad no son elevados. Los modelos con variable mediadora de enriquecimiento laboral – vida personal explican en mayor medida la relación entre una gestión equitativa con la identificación con la empresa. Se discuten otros resultados y las diferencias entre sexos y el sexo del gerente.RESUMOEste artigo de pesquisa visa estabelecer se a gestão eqüitativamente pelos gerentes melhora o papel pessoal de seus trabalhadores graças às habilidades adquiridas no trabalho e se essa melhoria do papel pessoal poderia mediar a relação entre gestão equitativa e identificação com a empresa. Método: questionário auto-relatado para 19 grupos de trabalho liderados por um gestor, 398 trabalhadores homens e 413 trabalhadores mulheres. Equações estruturais são aplicadas por mínimos quadrados parciais (SEM-PLS). Resultados: o comportamento equitativo dos gerentes favorece a vida pessoal dos trabalhadores, embora o relacionamento e sua intensidade não sejam altos. Modelos com uma variável mediadora de enriquecimento do trabalho - vida pessoal explicam em maior grau a relação entre a gestão equitativa e a identificação com a empresa. Outros resultados e diferenças entre os sexos e o gênero do gerente são discutidos.

Why do Muslims engage in adaptive worship behavior during the pandemic? The role of protection motives and religiosity

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rokhima Rostiani ◽  
Jein Sriana Toyib ◽  
Siti Khoiriyah
Keyword(s):  
Social Influence ◽  
Least Squares ◽  
Partial Least Squares ◽  
Adaptive Behavior ◽  
Online Survey ◽  
Communication Strategy ◽  
Equation Modeling ◽  
Content Type ◽  
The Government ◽  
At Home

Purpose This study aims to investigate whether the protection motivation theory (PMT) and religiosity can explain the intention of at-home worship adaptive behavior during the COVID-19 pandemic. This study further explores factors that may affect this adaptive behavior, namely, the intention to adapt behavior, religiosity, social influence and trust in the government. Design/methodology/approach Data were collected through an online survey to purposively sample the respondents, resulting in 368 responses that were valid for structural analysis using partial least squares structual equation modeling (SEM). Findings This study found that PMT, and not religiosity, directly predicts an individual’s intention to adapt his/her behavior to at-home worship during the pandemic. Religiosity, however, has a role in evoking a coping appraisal that leads to the intention to enact the adaptive behavior. Further, this study found that intention, social influence and trust in the government predict an individual’s adaptive behavior for at-home worship. Practical implications This study may guide the government to create a policy that could enhance people’s adherence to adaptive behavior during the pandemic, particularly regarding their communication strategy by focusing on the cognitive and psychological aspects. In particular, framing based on this study’s result may serve as an insight for better prevention of virus transmission through a focused communications strategy. Originality/value First, the utilization of PMT to explain adaptive behavior in the context of at-home worship during the pandemic was extended. Second, the research of religiosity in the context of a pandemic was advanced and how it influences adaptive behavior was investigated. Finally, the utilization of partial least squares-SEM techniques to investigate individual adaptive behavior during the COVID-19 pandemic was extended.

scholarly journals EXPLORING POLITICAL ENVIRONMENT AND NATIONAL CULTURE IMPACT ON INTERNATIONALIZATION READINESS OF SMES

2018 ◽  
Vol 17 (1) ◽  
pp. 97
Author(s):  
Herwina Rosnan ◽  
Nuraisyah Chua Abdullah
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
National Culture ◽  
Endogenous Variable ◽  
Political Environment ◽  
Research Model ◽  
Exogenous Variables ◽  
Theoretical Generalization ◽  
Pls Analysis ◽  
Klang Valley

The purpose of this study is to examine the influence of Political Environment and National Culture on Internationalization Readiness. The Smart-Partial Least Squares (PLS) analysis was used as to investigate the research model based on the survey of 60 Small and Medium-sized Enterprises (SMEs) from various industries which include companies in pharmaceutical, technological, electronic and foods and beverages in Klang Valley, Malaysia. The results supported the effects of two exogenous variables toward endogenous variable (Internationalization Readiness). Since the samples were limited to some SME companies in Klang Valley, Malaysia, the results of this study can only achieve theoretical generalization. Statistically, this study may prove not to be generalizable to the sample and should be confirmed using larger samples.

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