Push and Pull Factors in E-Sports Livestreaming: A Partial Least Squares Structural Equation Modeling Approach

2020 ◽  
Vol 13 (4) ◽  
pp. 621-642
Author(s):  
Tyreal Yizhou Qian ◽  
Jerred Junqi Wang ◽  
James Jianhui Zhang
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Marketing Strategies ◽  
Equation Modeling ◽  
Pull Factors ◽  
Push And Pull Factors ◽  
Push And Pull ◽  
Oriented Approach

Shifting from a player-oriented approach, e-sports has increasingly positioned itself as emerging spectator entertainment. In the wake of the growing online viewer market, the industry has made tremendous efforts to innovate marketing strategies and build up a base of passionate fans across the globe. To augment this endeavor, the current study investigated push and pull factors that influence e-sports online viewers’ consumption behaviors (N = 1,309) using partial least squares structural equation modeling. The authors proposed a new way to operationalize push and pull factors that have been relatively overlooked in the literature. The findings indicated that, while push and pull factors had different effects on e-sports consumption behaviors, they should be considered equally important in e-sports livestreaming. The study expanded our understanding of the attractiveness and desirability of e-sports and shed some critical light on management and marketing issues within and beyond the e-sports space.

scholarly journals Income Diversification Strategies of Italian Peri-Urban Farms: A Structural Equation Modeling Approach

Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 790
Author(s):  
Orlando Cimino ◽  
Marco Vassallo ◽  
Roberto Henke ◽  
Francesco Vanni
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Pull Factors ◽  
Income Diversification ◽  
Push And Pull Factors ◽  
Goods And Services ◽  
Diversification Strategies ◽  
Push And Pull ◽  
On Farm

On-farm diversification in non-agricultural activities has been increasingly recognized as a rewarding farm strategy through which farmers produce on-farm non-agricultural goods and services. The main objective of this paper is to explore to what extent the condition of peri-urbanity affects farm income diversification in Italy by looking at the push and pull factors that allow peri-urban farmers to re-organize their business by developing diversification strategies that are tightly connected to the demand of goods and services coming from the urban society. A structural equation modeling (SEM) statistical technique has been applied to estimate direct and indirect causal relationships among the multiple variables involved. The SEM analytical approach allowed us to untie the complexity of the push and pull factors connections and to highlight the most significant ones. The strengths of the structural paths provide evidence on the key diversification strategies adopted by peri-urban farms.

Partial least squares structural equation modeling of chemistry attitude in introductory college chemistry

2018 ◽  
Vol 19 (4) ◽  
pp. 1270-1286 ◽  
Author(s):  
James Ross ◽  
Leslie Nuñez ◽  
Chinh Chu Lai
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
At Risk Students ◽  
Affective Domain ◽  
Equation Modeling ◽  
College Chemistry ◽  
The Subject ◽  
Introductory College

Students’ decisions to enter or persist in STEM courses is linked with their affective domain. The influence of factors impacting students’ affective domain in introductory college chemistry classes, such as attitude, is often overlooked by instructors, who instead focus on students’ mathematical abilities as sole predictors of academic achievement. The current academic barrier to enrollment in introductory college chemistry classes is typically a passing grade in a mathematics prerequisite class. However, mathematical ability is only a piece of the puzzle in predicting preparedness for college chemistry. Herein, students’ attitude toward the subject of chemistry was measured using the original Attitudes toward the Subject of Chemistry Inventory (ASCI). Partial least squares structural equation modeling (PLS-SEM) was used to chart and monitor the development of students’ attitude toward the subject of chemistry during an introductory college chemistry course. Results from PLS-SEM support a 3-factor (intellectual accessibility,emotional satisfaction, andinterestandutility) structure, which could signal the distinct cognitive, affective, and behavioral components of attitude, according to its theoretical tripartite framework. Evidence of a low-involvement hierarchy of attitude effect is also presented herein. This study provides a pathway for instructors to identify at-risk students, exhibiting low affective characteristics, early in a course so that academic interventions are feasible. The results presented here have implications for the design and implementation of teaching strategies geared toward optimizing student achievement in introductory college chemistry.

An Introduction to Structural Equation Modeling (SEM) and the Partial Least Squares (PLS) Methodology

2011 ◽  
pp. 110-129 ◽  
Author(s):  
Nicholas J. Ashill
Keyword(s):  
Structural Equation Modeling ◽  
Information Systems ◽  
Organizational Behavior ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Academic Research ◽  
Equation Modeling ◽  
Formative Measurement ◽  
Statistical Assumptions

Over the past 15 years, the use of Partial Least Squares (PLS) in academic research has enjoyed increasing popularity in many social sciences including Information Systems, marketing, and organizational behavior. PLS can be considered an alternative to covariance-based SEM and has greater flexibility in handling various modeling problems in situations where it is difficult to meet the hard assumptions of more traditional multivariate statistics. This chapter focuses on PLS for beginners. Several topics are covered and include foundational concepts in SEM, the statistical assumptions of PLS, a LISREL-PLS comparison and reflective and formative measurement.

Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (Segunda Edición)

2019 ◽  
Author(s):  
Joseph F. Hair Jr. ◽  
G. Tomas M. Hult ◽  
Christian M. Ringle ◽  
Marko Sarstedt ◽  
Julen Castillo Apraiz ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Equation Modeling

How Do Fans Feel? A Case Analysis of Measuring and Modeling Attitudes Using Partial Least Squares Structural Equation Modeling

2016 ◽  
Vol 5 (1) ◽  
pp. 85-88 ◽  
Author(s):  
Lane Wakefield ◽  
Gregg Bennett
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Equation Modeling ◽  
Sport Organizations ◽  
Sports Teams ◽  
Know How ◽  
Fan Communities

Virtual fan communities (VFC) have become very popular among fans of sports teams. A VFC provides an online place for fans to meet and discuss the team, consume media, and develop friendships. Students will learn, in this case study, how to use partial least squares structural equation modeling (PLS-SEM) to assess fan attitudes toward the VFC and sponsors of the firm. Students will also learn how sport organizations can benefit from leadership with statistical know-how. The case is fictional, but it is based on an actual research study conducted in conjunction with a prominent virtual fan community in which ownership had an interest in fans’ attitudes toward their service.

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