Green Online Retailer Towards Brand Sustainability

2021 ◽  
Vol 4 (2) ◽  
pp. 827-845
Author(s):  
Edwin Joyo Hutomo ◽  
Yud Buana ◽  
Yohanes Jhony Kurniawan
Keyword(s):  
Structural Equation Modeling ◽  
Paradigm Shift ◽  
Structural Equation ◽  
Triple Bottom Line ◽  
Equation Modeling ◽  
Future Research ◽  
Online Retailer ◽  
Bottom Line ◽  
Online Stores ◽  
Online Methods

The shift in shopping methods from physical (offline) stores to virtual (online) stores has crystallized even more. Gradually the shift allows consumers to feel easy and comfortable in respect to buying products by online methods. This earliness paradigm shift becomes interesting if it becomes a topic of the research regarding the possibility of its sustainability in the triple bottom line. The clarity of the consumer's perspective on brand sustainability in terms of the main three pillars is being tested to clarify the roots of the paradigm by becoming a hypothesis in this research. The hypothesis was tested using Structural Equation Modeling on the answers of 278 respondents to identify the significant path. The findings are quite surprising so that entrepreneurs require to put forward the sustainability side of their brand. Future research should be aimed at adding more detailed factors related to the need for the process of achieving sustainability.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

A Short Review on Structural Equation Modeling: Applications and Future Research Directions

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Surajit Bag
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
First Generation ◽  
Analytical Techniques ◽  
Short Review ◽  
Equation Modeling ◽  
Future Research ◽  
Multivariate Techniques ◽  
Statistical Efficiency ◽  
Future Research Directions

The application of multivariate techniques is mainly to expand the researchers explanatory ability and statistical efficiency. The first generation analytical techniques share a common limitation i.e. each technique can examine only a single relationship at a time. Structural Equation Modeling, an extension of several multivariate techniques is the technique popularly used today can examine a series of dependence relationships simultaneously. The purpose of this study is to provide a short review on Structural Equation Modeling (SEM) being used in social sciences research. A comprehensive literature review of article appearing in top journals is conducted in order to identify how often SEM theory is used. Also the key SEM steps have been provided offering potential researchers with a theoretical supported systematic approach that simplify the multiple options with performing SEM.

scholarly journals Complexity and the triple bottom line: an information-processing perspective

2017 ◽  
Vol 37 (9) ◽  
pp. 1142-1163 ◽  
Author(s):  
Frank Wiengarten ◽  
Muhammad Usman Ahmed ◽  
Annachiara Longoni ◽  
Mark Pagell ◽  
Brian Fynes
Keyword(s):  
Information Processing ◽  
Financial Performance ◽  
Structural Equation ◽  
Negative Impact ◽  
Triple Bottom Line ◽  
Structural Equations ◽  
Equation Modeling ◽  
Bottom Line ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to empirically investigate the impact of complexity on the triple bottom line by applying information-processing theory. Specifically, the paper assesses the impact of internal manufacturing complexity on environmental, social, and financial performance. Furthermore, the paper assesses the moderating role of connectivity and shared schema in reducing the potential negative impact of complexity on performance. Design/methodology/approach Multi-country survey data collected through the Global Manufacturing Research Group were utilized to test the hypotheses. The authors used structural equation modeling to test the measurement and initial structural model. Furthermore, to test the proposed moderating hypotheses, the authors applied the latent moderated structural equations approach. Findings The results indicate that while complexity has a negative impact on environmental and social performance, it does not significantly affect financial performance. Furthermore, this negative impact can be reduced, to some extent, through connectivity; however, shared schema does not significantly impact on the complexity-performance relationship. Originality/value This study presents a comprehensive analysis of the impact of complexity on sustainability. Furthermore, it provides managerial applications as it proposes specific tools to deal with the potential negative influences of complexity.

scholarly journals Electronic Word-of-Mouth for Online Retailers: Predictors of Volume and Valence

2019 ◽  
Vol 11 (3) ◽  
pp. 814 ◽  
Author(s):  
Bogdan Anastasiei ◽  
Nicoleta Dospinescu
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Affective Commitment ◽  
Word Of Mouth ◽  
Equation Modeling ◽  
Electronic Word Of Mouth ◽  
Online Retailer ◽  
Important Impact ◽  
Online Retailers ◽  
Modeling Techniques

The goal of this research was to build a model that evaluates the influence of affective commitment, high-sacrifice commitment, and satisfaction on the customers’ word-of-mouth concerning an online retailer. Two word-of-mouth dimensions were considered: volume and valence. A survey was administered to 282 respondents and structural equation modeling techniques were used to process the data and test the hypotheses. Our findings show that satisfaction and high-sacrifice commitment have an important impact on both word-of-mouth volume and valence, while affective commitment only influences word-of-mouth valence. This paper offers detailed explanations of these results in light of other theories and studies in the field.

The Effects of Child and Adult Victimization on Psychological Distress: A Mediated Structural Equation Modeling Analysis

2019 ◽  
pp. 107780121988518
Author(s):  
Amanda Dishon-Brown ◽  
Seana Golder ◽  
Tanya Renn ◽  
TK Logan ◽  
George E. Higgins
Keyword(s):  
Structural Equation Modeling ◽  
Psychological Distress ◽  
Justice System ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Mediation Model ◽  
Modeling Analysis ◽  
And Coping ◽  
The Relationship

Justice-involved women experience significantly higher rates of victimization and psychological distress, and these experiences place women at greater risk of initial and ongoing involvement in the criminal justice system. This research explored the relationship between victimization, the hypothesized mediators (social support and coping), and psychological distress among a sample of 406 victimized women on probation/parole. Results of the Structural Equation Modeling (SEM) were significant and indicated a partial mediation model (74%) with both direct and indirect effects. Based upon the results of this research, implications and future research are explored regarding gender-responsive practices for this population.

scholarly journals Fear of Crime among Mongolians in the Ulaanbaatar Metropolitan Area

2021 ◽  
Vol 14 (1) ◽  
pp. 68-80
Author(s):  
Sharkhuu Chuluunbat ◽  
Lee Min-Sik
Keyword(s):  
Structural Equation Modeling ◽  
Metropolitan Area ◽  
Fear Of Crime ◽  
Structural Equation ◽  
Integrated Model ◽  
Modeling Method ◽  
Equation Modeling ◽  
Future Research ◽  
Criminological Research

This study is about fear of crime, which is one of the most important topics in the criminological research.The study tested an integrated model in structural equation modeling method by using both SPSS and AMOS. Those who perceive higher levels of incivility were found to be more fearful of crime. Policies to reduce fear of crime and implications for future research were discussed based on the findings.

The relationship of employees' strengths use and innovation: Work engagement as a mediator

2020 ◽  
Vol 48 (5) ◽  
pp. 1-6
Author(s):  
Yuanqin Ge ◽  
Xiaomeng Sun
Keyword(s):  
Structural Equation Modeling ◽  
Work Engagement ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Innovative Behavior ◽  
Strengths Use ◽  
Validated Questionnaire ◽  
Relationship Of ◽  
The Relationship

We investigated the relationship between employees' strengths use and innovation through the mediator of their work engagement. A validated questionnaire was used to collect data from 158 employees at 3 companies in China. Structural equation modeling results show that work engagement partially mediated the relationship between employee strengths use and innovation. In addition, employee strengths use increased their innovation and made them more engaged in their work, and employees' work engagement, in turn, promoted their innovative behavior. These findings suggest that strengths use alone does not enhance employee innovation: Work engagement is also important. Directions for future research are discussed.

Understanding Users’ Continuance of Facebook

2013 ◽  
pp. 47-61
Author(s):  
Chia-Lin Hsu ◽  
Cou-Chen Wu
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Flow Experience ◽  
Continuance Intention ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Managerial Implications ◽  
Expectation Disconfirmation

The purpose of this study is to develop an integrated model designed to examine users’ continuance of Facebook based on the unified theory of acceptance and use of technology (UTAUT), the expectation disconfirmation model (EDM), and flow theory. Empirical data collected from 482 users who have experience with Facebook are subjected to structural equation modeling based on the proposed research model. Results show that users’ continuance intention of Facebook is determined by social influence, performance expectancy, effort expectancy, flow experience, and satisfaction. Satisfaction is significantly affected by flow experience and disconfirmation. Results also suggest that effort expectancy is positively related to flow experience. Based on the findings, managerial implications are discussed in this paper and directions for future research are also highlighted.

scholarly journals The Mediating Role of Knowledge Creation on the Market Sensing- Innovation Nexus

2021 ◽  
Vol 9 (2) ◽  
pp. 188
Author(s):  
Okechukwu Lawrence Emeagwali
Keyword(s):  
Structural Equation Modeling ◽  
Knowledge Creation ◽  
Structural Equation ◽  
Top Management Teams ◽  
Equation Modeling ◽  
Future Research ◽  
Medium Scale ◽  
Mediating Role ◽  
Positive Effect

This study examined the influential role of knowledge creation in facilitating the effect of market-sensing on innovation. It specifically examines this phenomenon among small and medium scale enterprises (SMEs) in Nigeria. The study hypothesized that market sensing will exogenously have a significant and positive effect on knowledge creation, which will in turn have a positive effect on innovation. Data was collected from strategic managers from the top management teams of 310 small and medium scale enterprises randomly selected from the country’s six geopolitical zones. Using covariance based structural equation modeling (SEM) carried out via version 23 of IBM’s AMOS software. Findings confirmed all four hypotheses specifically demonstrating that market sensing positively impacted knowledge creation and innovation, while knowledge creation was both found to have a positive effect on innovation and to also significantly mediate the effect of market-sensing on innovation. The study then discusses the implication of the findings for both literature and practice, while recommending areas for future research.

scholarly journals Peran citra merek hijau, niat merek untuk meningkatkan loyalitas pembelian

2021 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
Sri Rahayu ◽  
Rin Nanik ◽  
Susi Sulastri
Keyword(s):  
Structural Equation Modeling ◽  
University Students ◽  
Structural Equation ◽  
Brand Image ◽  
Sampling Technique ◽  
Research Data ◽  
Equation Modeling ◽  
Future Research ◽  
Minimum Age

This study aims to determine the role of green brand image in an effort to increase brand intention, and purchase loyalty. Research locations were held in various universities in the province of D.I.Yogyakarta. The population of this research is university students, and the research sample is 222 students. The sampling technique uses purposive sampling technique, minimum age 18, and a maximum 25 years old, laptop users at least 1 year. Data were collected through a survey by distributing questionnaires. The research data is processed using structural equation modeling, AMOS 21 program. The results of this study indicate that green brand image has a positive and significant effect on brand intention, and purchase loyalty. The more the green brand image increases, the more brand intention and purchase loyalty increases. This study also has limitations, and includes suggestions for future research.    

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