scholarly journals Modeling the Consumers Opinion Influence in Online Social Media in the Case of Eco-friendly Products

2019 ◽  
Vol 11 (6) ◽  
pp. 1796 ◽  
Author(s):  
Camelia Delcea ◽  
Liviu-Adrian Cotfas ◽  
Carmen Trică ◽  
Liliana Crăciun ◽  
Anca Molanescu
Keyword(s):  
Online Social Networks ◽  
Purchase Intention ◽  
Positive Impact ◽  
Agent Based Modeling ◽  
Durable Good ◽  
Social Environments ◽  
Product Adoption ◽  
Environmental Attitude ◽  
Agent Based ◽  
Online Social Media

Social influence has a positive impact on the purchase intention for eco-friendly products along with other subjective and objective aspects related to environmental attitude, product attitude, and subjective and objective knowledge. Also, exposure to media has been proven to have a significant positive affect on environmental attitude, with effect on the purchase intention. Several recent studies have shown the importance of consumers’ influence in online social networks, underlying the role played by the online environments over consumers’ attitude. As a result, the current research tries to analyze the influence exerted on consumers’ decision to purchase eco-friendly products by their activity in online social environments. Using a questionnaire, filled-in by 409 respondents, a series of variables have been extracted with regard to the eco-friendly products. An agent-based model has been created, fed with the values of the variables extracted from the questionnaire, and used for simulations. As a result, it has been observed that an increase in online media exposure can have a high positive impact on the eco-friendly product adoption. Depending on the type of product—soft or durable good—different times for the eco-friendly product adoption have been determined relatively to the considered variables. Last, the possible limitations of using an agent-based modeling approach are discussed, along with possible extensions and improvements.

scholarly journals Selected Antecedents of Consumer Attitude toward a Product in an Eco-Label Context

2016 ◽  
Vol 11 (5) ◽  
pp. 33
Author(s):  
Sven Gross ◽  
Phillip Wilson ◽  
Jie Zhang ◽  
Chris Shao ◽  
Alan J. Dubinsky
Keyword(s):  
Purchase Intention ◽  
Positive Impact ◽  
Empirical Work ◽  
Purchase Behavior ◽  
Future Research ◽  
Consumer Attitude ◽  
Environmental Attitude ◽  
Environmental Friendliness ◽  
Perceived Credibility ◽  
Consumer Purchase Intention

Marketers’ use of eco-labels—verifying the environmental friendliness of products—has steadily grown. Earlier studies have focused on the direct influence of eco-labels on consumer purchase intention for these products. Findings from that empirical work revealed that eco-labels can have a positive impact on purchase intention. Other investigations disclosed a positive relationship between consumer attitude toward the brand and purchase intention. Based on the foregoing research efforts, the purpose of the present work was to examine selected factors that may influence consumer attitude toward eco-labeled products. The following constructs were discerned to have that impact: recognition/awareness of eco-labels, perceived credibility of the eco-label, and current purchase behavior of eco-labeled products. Environmental attitude, though, was found to be unrelated to consumer attitude toward eco-labeled products. Implications and suggestions for future research are provided.

Identifying Influencers in Online Social Networks

2013 ◽  
Vol 9 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Yifeng Zhang ◽  
Xiaoqing Li ◽  
Te-Wei Wang
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Word Of Mouth ◽  
Agent Based Modeling ◽  
Viral Marketing ◽  
Tie Strength ◽  
Agent Based ◽  
Widespread Acceptance ◽  
Tremendous Amount ◽  
Marketing Messages

Online social networks (OSNs) are quickly becoming a key component of the Internet. With their widespread acceptance among the general public and the tremendous amount time that users spend on them, OSNs provide great potentials for marketing, especially viral marketing, in which marketing messages are spread among consumers via the word-of-mouth process. A critical task in viral marketing is influencer identification, i.e. finding a group of consumers as the initial receivers of a marketing message. Using agent-based modeling, this paper examines the effectiveness of tie strength as a criterion for influencer identification on OSNs. Results show that identifying influencers by the number of strong connections that a user has is superior to doing so by the total number of connections when the strength of strong connections is relatively high compared to that of weak connections or there is a relatively high percentage of strong connections between users. Implications of the results are discussed.

Combating Malaria

2011 ◽  
pp. 66-86
Author(s):  
Narjès Bellamine-BenSaoud ◽  
Fatima Rateb
Keyword(s):  
Health Care ◽  
Modeling And Simulation ◽  
Complexity Theory ◽  
Positive Impact ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Human Actors ◽  
Cyclic Fluctuation ◽  
The Impact

In this chapter, we investigate how complexity theory and more particularly how agent-based modeling and simulation can benefit the explanation of the impact of education on malaria health care in Haiti. Our model includes: (1) the environment, encompassing mainly cities, roads, hospitals and schools; (2) the agents, modeling the human actors, who can be safe or infected by malaria disease according to their location in the environment; and (3) a modelled agent can also be mobile or not, can reproduce, and can die. We run four kinds of experiments over a 50-year period each. Our main emerging results are growing total agent, susceptible, and immune populations in a “cyclic” fluctuation form. Furthermore, we confirm the positive impact of both education and hospitals in combating malaria disease.

scholarly journals A FRAMEWORK FOR PREDICTING POTENTIAL PRODUCT IMPACT DURING PRODUCT DESIGN

2021 ◽  
Vol 1 ◽  
pp. 101-110
Author(s):  
Christopher S. Mabey ◽  
Andrew G. Armstrong ◽  
Christopher A. Mattson ◽  
John L. Salmon ◽  
Nile W. Hatch
Keyword(s):  
Product Design ◽  
Social Impact ◽  
Negative Impact ◽  
Positive Impact ◽  
Agent Based Modeling ◽  
Design Parameters ◽  
Design Teams ◽  
Agent Based ◽  
Impact Prediction ◽  
The Impact

AbstractThe impact of products is becoming a topic of concern in society. Product impact may fall under the categories of economic, environmental, or social impact and is defined by the effect of a product on day-to-day life. Design teams lack sufficient tools to predict the impact of products they are designing. In this paper we present a framework for the prediction of product impact during product design. This framework integrates models of the product, scenario, society, and impact into an agent-based model to predict product impact. Although this paper focuses on social impact, the framework can also be applied to economic or environmental impacts. An illustration of using the framework is also presented. Agent-based modeling has been used previously for adoption models, but it has not been extended to predict product impact. Having tools for impact prediction allows for optimizing the product design parameters to increase potential positive impact and reduce potential negative impact.

Unreal Models of Real Behavior: The Agent-Based Modeling Experience

2012 ◽  
Vol 35 (1) ◽  
pp. 19-23 ◽  
Author(s):  
Lee Hoffer
Keyword(s):  
Drug Users ◽  
Personal Narratives ◽  
Agent Based Modeling ◽  
Treatment Programs ◽  
Social Environments ◽  
Fair Share ◽  
P Values ◽  
Agent Based ◽  
Fieldwork Experience ◽  
Real Behavior

Like many applied anthropologists who have worked for 20 or so years in public health and drug addiction research, I have sat in more than my fair share of overly quantitative presentations on the "behaviors" of drug users that dominate conferences in the field. Like my peers in these circumstances, I am often frustrated not because the models, tables, graphs, figures, correlations, p-values, or odds ratios presented are difficult to understand or because I have an aversion to basic science, epidemiology, or survey research. Rather, it is because the numbers rarely reflect the histories, concepts, relationships, interactions, and other nuances that have shaped my fieldwork experience. The highly personal narratives of participants framed by equally complex social environments are not visible in the numbers. To epidemiologists and other like-minded health researchers, the numbers are the narrative and all that is required for informing and evaluating theories, models, interventions, treatment programs, or policy.

scholarly journals Promoting the Absence of Pesticides through Product Labels: The Role of Showing a Specific Description of the Harmful Effects, Environmental Attitude, and Familiarity with Pesticides

2020 ◽  
Vol 12 (21) ◽  
pp. 8912 ◽  
Author(s):  
Pablo Farías
Keyword(s):  
Purchase Intention ◽  
Positive Impact ◽  
Perceived Value ◽  
Specific Information ◽  
General Description ◽  
Environmental Attitude ◽  
Positive Effects ◽  
Specific Description ◽  
Environmental Labels ◽  
Harmful Effects

Few studies have analyzed the mechanisms of how environmental labels influence consumers’ perception and consequent behavior. The present study puts forth specific questions of how pesticide-free products should be promoted through product labels. Data were collected via controlled experimentation. The results demonstrate that pesticide-free labels with specific information on the harmful effects of pesticides have a more positive impact on perceived value and purchase intention relative to pesticide-free labels with a general description of the harmful effects of pesticides. The results also show that the positive effects of promoting the absence of pesticides through product labels on perceived quality, perceived value, and purchase intention are stronger among individuals who are high in environmental attitude and familiarity with pesticides. Policymakers, producers, and retailers could use these findings for better decision-making.

scholarly journals How to Improve the Effect of Live Streaming? From the Perspective of Content Type

2021 ◽  
pp. 87-111
Author(s):  
Wen-Chin Tsao ◽  
Pei-Ching Liao ◽  
Hao-Fan Chumg
Keyword(s):  
Purchase Intention ◽  
Success Factors ◽  
Word Of Mouth ◽  
Positive Impact ◽  
Rapid Development ◽  
Live Streaming ◽  
Positive Word ◽  
Content Type ◽  
Online Social Media ◽  
Positive Word Of Mouth

Abstract With the rapid development of online social media, live streaming has become a global trend and a new direction for strategic marketing in all walks of life. Therefore, this study mainly discusses how to improve audience’s attitude toward watching live streaming, and promotes purchase intention and positive word-ofmouth based on the four success factors of live streaming. The results show that: 1) among the four success factors, only playfulness and interactivity can positively and significantly affect attitude toward watching live streaming; 2) the attitude toward watching has positive and significant impact on the followup behavioural intentions (purchase intention and positive word-of-mouth); 3) the results of moderating analysis show that the positive impact of attitude toward watching on the intention of follow-up behaviour is not significantly different according to different types of live content. The findings of this study can provide different strategic views on the operation of live streaming platforms for live streaming hosts or those who use the platforms, by which to improve their business performance. Keywords: Live stream platform, Online celebrities, Playfulness, Interactivity, Positive Word-of-Mouth.

Handling big data on agent-based modeling of Online Social Networks with MapReduce

2014 ◽  
Author(s):  
Maira A. de C. Gatti ◽  
Marcos R. Vieira ◽  
Joao Paulo F. de Melo ◽  
Paulo Rodrigo Cavalin ◽  
Claudio Santos Pinhanez
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Online Social Networks ◽  
Agent Based Modeling ◽  
Agent Based
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