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

Delcea, Camelia; Cotfas, Liviu‐Adrian; Trică, Carmen Lenuţa; Crăciun, Liliana; Molanescu, Anca Gabriela

doi:10.3390/su11061796

Cited by 31 publications

(23 citation statements)

References 85 publications

(91 reference statements)

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“…The recorded population growth combined with the rapid changes and advances in technologies has facilitated the increase of the waste generated worldwide [37,[46][47][48][49], among which, e-waste plays an important role due to the harmful effects on both environment and health. A broad range of research has been written in the area of e-waste recycling, addressing the issue from different point of views.…”

Section: Literature Reviewmentioning

confidence: 99%

“…With the development of social media, a series of studies have presented the role of consumers' influence on these networks [60][61][62][63][64][65], proving that the social influence positively affects the people's behavior when adopting a pro-environment attitude [49,66]. Sujata et al [20] analyzed in their study the determinants of recycling intention behavior for the general public.…”

Section: Literature Reviewmentioning

confidence: 99%

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Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania

et al. 2020

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Due to the increase of the amount of electrical and electronical equipment waste (e-waste), the understanding of individual consumers’ main decision triggers represents a key point in increasing the quantity of recycled e-waste. A series of studies from the literature have shown a positive relationship between the consumers’ attitude, awareness, self-efficacy, social norms, and their e-waste recycling intention, as well as the positive influence between the intention and the manifested behavior. Additional to these determinants, in the present study, the influence of social media was analyzed along with the actions taken by the government and nongovernmental organizations, with the purpose to include and to capture, as much as possible, a high amount of determinants in the e-waste recycling process. Nevertheless, the demographic or socio-economic variables, such as age, gender, income, education, number of family members, etc., have shown over time to have a contribution to predicting the consumers’ pro-recycling behavior. As on one side, in the research literature, the opinions related to which of the demographic or socio-economic factors can have an impact on the recycling behavior have been divided and, on another side, a series of researchers believe that the discrepancies in the findings of different studies can be due to culture in various countries, in this paper we conducted such an analysis with reference to the Romania’s case. The results have shown that the demographic variables, such as age and gender, can have a contribution to predicting residents’ pro-e-waste recycling behavior. Based on these findings, the policymakers can gain a better understanding of the e-waste recycling phenomenon and on its main triggers, with results in creating better policies for sustaining a proper e-waste managing system.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania

et al. 2020

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“…The greedy method along with the random boarding method and the three methods introduced in [2] are programmed in NetLogo (Developed at The Cenrer for Connected Learning and Computer Based Modeling Evanston, IL 60208, United States of America), which benefits from all the advantages of the agent-based modeling [39][40][41][42][43][44][45][46][47] and respects the main properties of the agents as they are presented in the literature related to autonomy, social ability, responsiveness, proactiveness, adaptability, mobility, veracity, and rationality [15,[48][49][50]. To make the agent a realistic 38.6% in the random seat assignment case when compared to the random boarding method and up to 39.09% with preferential seat assignments.…”

Section: Passenger Seat Assignmentmentioning

confidence: 99%

Greedy Method for Boarding a Partially Occupied Airplane Using Apron Buses

et al. 2019

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This paper investigates the time to complete the boarding of a partially occupied two-door airplane when its passengers are transported from the airport terminal to the airplane using two apron buses. We propose a greedy method that assigns each passenger to a particular apron bus based on the passengers’ airplane seat assignments. This greedy approach exploits the airplane’s symmetry by providing essentially the same method for those boarding through the front door of the airplane as those boarding through the rear door of the airplane. The symmetrical properties of window, middle, and aisle seats of each row/side are considered in the proposed method as well. Computer simulation results indicate that, when using the greedy method, the boarding time can be reduced by up to 8.33% compared to the boarding time resulting from the best known practices in the literature, and with up to a 43.72% improvement in boarding time when compared to the boarding method commonly used in many airports. Furthermore, experimental results confirm our hypothesis that when the capacity of the apron buses exceeds the number of passengers to be transported to the airplane, the most time-efficient results of the proposed greedy method occur when an equal number of passengers are assigned to each of the two apron buses.

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“…In order to simulate the methods introduced in Table 2 for a partially occupied airplane, an agent-based model in NetLogo was developed (please see Figure 8). The agent-based modeling is one of the well-known choices for researchers when conducting experiments that involve human activities [38][39][40][41][42][43][44][45][46]. The agents used in this type of modeling possess a series of characteristics, such as autonomy, social ability, responsiveness, proactiveness, adaptability, mobility, veracity, and rationality [10,[47][48][49], which makes them a close replicate of humans.…”

Section: Passenger Seat Assignment Movement and Luggage Assumptionsmentioning

confidence: 99%

Testing New Methods for Boarding a Partially Occupied Airplane Using Apron Buses

et al. 2019

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The use of apron buses has become a common practice at many European airports. Previous studies related to airplane boarding rarely apply when apron buses are used, leaving airlines with no well-researched option except to use the random boarding method. In this paper, we test the time to complete boarding a two-door airplane using various boarding methods with two apron buses. These methods were inspired by the classical outside-in, back-to-front, and reverse-pyramid methods considering the limited number of boarding groups corresponding to the limited number of apron buses used for transporting passengers from the terminal to the aircraft. Unlike earlier publications, we test these methods under partial aircraft occupancy. Furthermore, we test the boarding methods under conditions involving: different passenger occupancy rates, different luggage situations, and with two types of seating assignments-random and based upon passenger seating preferences-by considering the advantages brought by the symmetric layout of the aircraft. Experimental results indicate that the best performing method can reduce the boarding time by up to 38.6% compared to the time resulting from the random boarding method. When the airplane is partially occupied, the best performing methods are reverse pyramid-A, hybrid-A, and hybrid-B, all with similar performances.

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

Cited by 31 publications

References 85 publications

Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania

Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania

Greedy Method for Boarding a Partially Occupied Airplane Using Apron Buses

Testing New Methods for Boarding a Partially Occupied Airplane Using Apron Buses

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