E-WOM IN SOCIAL NETWORK PLATFORM SERVICE WITH SUSTAINABLE MARKETING ACTIVITIES

2016 ◽  
Author(s):  
Chang Suk Choi ◽  
Sang Jim Kim ◽  
Kyung Hoon Kim ◽  
Sang Cheol Jeong
2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Dr.Pankaj Jain

This paper is an attempt to put forward a roadmap to attain sustainable marketing through social marketing, green marketing and critical marketing. Social Marketing is an approach to decide the marketing strategies and activities keeping society’s long term welfare in the mind. Social and ethical concerns are at the centre of social marketing. Green Marketing is an approach to develop and market environmentally safer products and services in and introducing sustainability efforts in various marketing and business processes. At last, Critical Marketing is an approach that calls for analyzing marketing principles, techniques and theory using a critical theory based approach. This approach helps in regulating and controlling marketing activities with a focus on sustainability as it challenges and questions the existing capitalist and marketing systems so as to achieve a more sustainable marketing system.


Author(s):  
Yu Zhu

The objective is to predict and analyze the behaviors of users in the social network platform by using the personality theory and computational technologies, thereby acquiring the personality characteristics of social network users more effectively. First, social network data are analyzed, which finds that the type of text data marks the majority. By using data mining technology, the raw data of numerous social network users can be obtained. Based on the random walk model, the data information of the text status of social network users is analyzed, and a user personality prediction method integrating multi-label learning is proposed. In addition, the online social network platform Weibo is taken as the research object. The blog information of Weibo users is obtained through crawler technology. Then, the users are labeled in accordance with personality characteristics. The Pearson correlation coefficient is used to evaluate the relation between the user personality characteristics and the user behavior characteristics of the Weibo users. The correlation between the network behaviors and personality characteristics of Weibo users is analyzed, and the scientificity of the prediction method is verified by the Big Five Model of Personality. By applying relevant technologies and algorithms of data mining and deep learning, the learning ability of neural networks on data characteristics can be improved. In terms of performance on analyzing text information of social network users, the user personality prediction method of integrated multi-label learning based on the random walk model has a large advantage. For the problem of personality prediction of social network users, through combining data mining technology and deep neural network technology in deep learning, the data processing results of social network user behaviors are more accurate.


Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1037
Author(s):  
I.-Chiu Chang ◽  
Kuei-Chen Cheng ◽  
Cheng-Yi Chiang ◽  
Chang-Kuo Hu

Most long-term care facilities can offer residents’ with sufficiently material and physical care, but psychological support may not be always provided due to the tight financial budget or labor resources. Residents’ isolation and loneliness then become a big issue, especially for the residents. Social network systems (SNS) have been proved to be a more effective information transmission channel for thoughts, perspectives, and information sharing than traditional channels such as microblogging, e-mails, or telephones. This study conducted a quasi-experiment to identify factors that influence residents’ intention of using SNS and the impacts of SNS on them in a long-term care facility. The results showed that residents’ attached motivation of personal interacting is a significant factor that influences their intention to use the social network platform. Meanwhile, both the loneliness and depression scales of the participants were decreased significantly.


2021 ◽  
Vol 13 (10) ◽  
pp. 266
Author(s):  
Hamed Nozari ◽  
Agnieszka Szmelter-Jarosz ◽  
Javid Ghahremani-Nahr

The use of advanced computer technologies has dramatically changed marketing. Concepts such as smart, sustainable, and green marketing have emerged in the last 20 years. One of these new technologies is the Internet of Things (IoT), which has led to the development of the activities and performances of industries in various dimensions. For the various objects, such as people, processes, and data, involved in marketing activities, the Internet of Everything (IoE) as an evolved IoT is a possible future scenario. Some sectors pretend to be the first to implement this, and the more they rely on dynamic, unstable customer needs, the better a solution the IoE is for them. Therefore, this paper presents a clear vision of smart, sustainable marketing based on the IoE in one of the fast-moving consumer goods (FMCG) industries, the dairy industry. Key factors are identified to help readers understand this concept better. The expert interview makes it possible to draw a picture of the factors that have helped successfully implement the IoE in the dairy sector.


2019 ◽  
Author(s):  
◽  
Feziwe Lindiwe Yvonne Khomo

This research involved a quest to discover a way, involving technology, which would encourage students to take the lead and take ownership of their own learning and rely less on the lecturer. It sought to investigate a learning approach that would encourage students to be proactive in their learning whilst increasing their domain knowledge. The study was instigated by a concern for what the researcher experienced as students’ negative attitude towards learning. She identified Inquiry Based Learning (IBL) as a learning model that would ignite critical and creative skills and encourage students to take responsibility of their own learning. Thus, the purpose of the study was to investigate a technology-assisted approach to investigate a technology-assisted approach to developing skills for discovering and creating new knowledge. Taking into consideration that most students of the 21st century own technological tools and most have accounts on social network platforms, the study sought to determine whether IBL could be facilitated on the social network platform, Facebook. A case-study, mixed-methods approach was employed. The researcher relied on statistical analysis done by the program SPSS for the analysis of the quantitative data and a qualitative program, NVivo, for analyzing words selected by the students. In addition, observation of the interactions on Facebook assisted materially in drawing conclusions as to whether the objectives were met. In terms of determining an appropriate IBL-oriented model for the study, the findings suggest that the intrinsic attributes of IBL such as collaboration, interaction and engagement can be enhanced on Facebook as students attempted to answer the questions related to an Inquiry Based Scenario question. However, only a limited number of the respondents found the approach and the intervention fully effective. In terms of exploring the usage of Facebook, students expressed a sense of fulfilment and appreciation for the platform with regard to sharing and accessing information. On the other hand, a majority also found the experience challenging; were not fully enthusiastic about this form of learning; and nor did they feel that it would be sufficient if used in isolation from traditional learning methods. In addition, the researcher acknowledged that participation on Facebook was not as she had envisaged it. Further, the study evaluated the facilitation of an IBL “Classroom” environment on Facebook. The interaction on Facebook and the responses to the perception regarding this objective indicated positive results. However, only a limited number of respondents acknowledged that the “classroom” challenged their thinking capabilities, stretched their thinking, or led to deeper thinking. Lastly, the study observed improvements in understanding learning material and the development of a higher order of learning by taking into account (with the assistance of NVivo) the choice of words used in answering the questions related to the IBL scenario posted on Facebook. Further, based on the attempts of the participants to tackle the questions, the researcher concluded that an improvement was attained. In addition, the responses by the students acknowledge that domain knowledge and understanding of the learning unit was improved. It is, however, also important to note that the limited time frame allocated for the study, and the lack of a systematic approach in scaffolding the teaching principles and learning process, had an effect on students’ adoption of the intervention and on the desired outcomes. Based on the findings and challenges encountered, the researcher was able to shed light on certain aspects that need to be considered for an effective inclusion of technological instruments within traditional learning. The study confirmed important aspects revealed in the literature, while the positive effective of the intervention on desired outcomes was encouraging. It could therefore be concluded that the findings were able to address the main objectives of the study.


Author(s):  
Ceren Altuntaş Vural

Due to the negative impact of globalized production and consumption on the natural environment, businesses keep facing increased pressure to eliminate their harmful processes and transform into environmentally conscious organizations. Marketing as a business function having a high interaction rate with customers and other stakeholders receives its share from this wave. Every day, more organizations become engaged in green marketing practices either by complying with laws and regulations or seizing proactive environmental marketing strategies. This chapter aims to propose a conceptual framework for green marketing by reviewing the existing green marketing and sustainable marketing literature. In addition to that, considering the less developed literature in Business-to-Business (B2B) green marketing, the chapter uses previous strategic frameworks for suggesting green marketing activities for industrial services. Logistics is selected as a specific field for the proposition of the examples. The chapter concludes with implications and further research directions.


2019 ◽  
Vol 11 (20) ◽  
pp. 5549
Author(s):  
Hsin-Hui Lee ◽  
Chia-Hsing Liang ◽  
Shu-Yi Liao ◽  
Han-Shen Chen

The proliferation of Internet has accelerated the dissemination of information, which has given birth to the term “Internet meme”. Social network is one of the pivotal media in spreading an Internet meme. Marketers utilize Internet memes to carry out marketing activities to significantly improve their Internet exposure. We thus verify whether consumers generate purchase intention after being attracted to an Internet meme, as no such research prevails. We employ the value–attitude–behavior model as its theoretical core and discuss how the values formed by consumers under the impact of an Internet meme influence their purchasing behaviors through their attitudes. The participants of the study are Internet users who are habitual to checking Facebook. We adopted convenience sampling and developed 380 valid questionnaires. Structural equation modeling is applied to verify the study’s hypotheses. The research results reveal that utilitarian and hedonic values influence the Purchase Intention through utilitarian and hedonic attitudes. In light of the aforementioned findings, it is suggested that marketers and relevant participants focus on the hedonic value brought by an Internet meme and design fun and witty Internet memes to attract consumers.


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