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 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.

Relationship between CEO's personality and company's entrepreneurial orientation: the case of SMEs

2020 ◽  
pp. 1-21
Author(s):  
Antonio J. Verdú-Jover ◽  
Marina Estrada-Cruz ◽  
Noelia Rodríguez-Hernández ◽  
José M. Gómez-Gras
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Entrepreneurial Orientation ◽  
Quantitative Research ◽  
Resistance To Change ◽  
Structural Equations ◽  
Substantial Influence ◽  
Personality Dimensions ◽  
Key Factor ◽  
Structural Equations Model

Abstract Entrepreneurial orientation (EO) is a key factor in the creation and development of companies. This study examines the CEO's personal background (personality, proactivity and resistance to change) and its influence on the EO of the organization to determine which factors enhance or weaken EO. We achieve this goal through quantitative research, developing a structural equations model with partial least squares to analyse a sample of 358 Spanish SMEs from different sectors. The results suggest that specific personality dimensions exert substantial influence on the organization's EO. We also analyse individual proactivity and resistance to change as conduits for the effect of personality dimensions on the company's EO.

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 Can One Promote a Delegation of the Bilateral Aid to Multilateral Donors to Improve Foreign Aid Effect on Economic Growth in ECOWAS (Note 1) Countries?

2019 ◽  
Vol 2 (1) ◽  
pp. 51
Author(s):  
W. Jean Marie Kébré
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Least Squares ◽  
Foreign Aid ◽  
Bilateral Aid ◽  
Multilateral Aid ◽  
Multilateral Institutions ◽  
Negative Effect ◽  
High Degree ◽  
The Relationship

<p><em>This article analyzes the relationship between external aid and economic growth in the ECOWAS region, with a focus on bilateral and multilateral aid effects. The key idea behind this analysis is an argument of Svensson</em><em> </em><em>(2000)</em><em> that multilateral aid is more effective than bilateral aid because of the high degree of altruism of bilateral donors. He therefore suggested a delegation of bilateral aid to multilateral institutions. To appreciate his suggestion, this analysis used panel data from the 16 ECOWAS countries from the period 1984 to 2014. The results of the estimates, based on the dynamic least squares estimator (DOLS), show a negative effect of foreign aid on economic growth. This negative effect on economic growth persists when the components of aid are introduced into the model. In addition, results highlight that governance is a channel through which foreign aid affect positively economic growth. In these conditions, bilateral aid is more effective on economic growth than multilateral aid. These results about foreign aid received by ECOWAS countries invalidates</em><em> </em><em>Svensson’s</em><em> </em><em>(</em><a title="Svensson, 2000 #5" href="#_ENREF_1"><em>2000</em></a><em>)</em><em> theory. Therefore, a delegation of bilateral aid to multilateral institutions is not relevant because bilateral aid contributes more to economic growth if governance is taken into account.</em></p>

scholarly journals The Nexus between Financial Development and Economic Growth: Panel Data Evidence from Developing Countries

2021 ◽  
Vol 14 (10) ◽  
pp. 489
Author(s):  
E. M. Ekanayake ◽  
Ranjini Thaver
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Least Squares ◽  
Financial Development ◽  
Panel Cointegration ◽  
Sub Saharan Africa ◽  
Explanatory Variables ◽  
Cointegration Tests ◽  
Sub Saharan

The objective of this study is to investigate the nexus between financial development (FD) in economic growth (GROWTH) in developing countries. The study uses panel data from 138 developing countries during the period 1980–2018. The relationship between financial development and economic growth is investigated using four explanatory variables that are commonly used to measure the level of financial development and several other control variables, including a dummy variable representing the financial and banking crises. The sample of 138 developing countries is also classified into six geographic regions. We have carried out panel unit-root tests and panel cointegration tests before estimating the specified models using both Panel Least Squares (Panel LS) and Panel Fully Modified Least Squares (FMOLS) methods. In addition, panel Granger causality tests have been conducted to identify the direction of causality between FD and GROWTH for each of the regions. The results of the study provide evidence of a direct relationship between FD and GROWTH in developing countries. Furthermore, there is evidence of bi-directional causality running from FD to GROWTH and from GROWTH to FD in samples of Europe and Central Asia, South Asia, and all countries, but not in East Asia and Pacific, Latin America and the Caribbean, Middle East and North Africa, and Sub-Saharan Africa.

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 Let’s Talk About Fixed Effects: Let’s Talk About All the Good Things and the Bad Things

2020 ◽  
Vol 72 (2) ◽  
pp. 289-299
Author(s):  
Matthias Collischon ◽  
Andreas Eberl
Keyword(s):  
Panel Data ◽  
Least Squares ◽  
Fixed Effects ◽  
Regression Models ◽  
Ordinary Least Squares

Abstract With the broader availability of panel data, fixed effects (FE) regression models are becoming increasingly important in sociology. However, in some studies the potential pitfalls of these models may be ignored, and common critiques of FE models may not always be applicable in comparison to other methods. This article provides an overview of linear FE models and their pitfalls for applied researchers. Throughout the article, we contrast FE and classical pooled ordinary least squares (OLS) models. We argue that in most cases FE models are at least as good as pooled OLS models. Therefore, we encourage scholars to use FE models if possible. Nevertheless, the limitations of FE models should be known and considered.

Sign in / Sign up

Export Citation Format

Share Document