71,668 research outputs found

    The effect of social media communication on consumer perceptions of brands

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    Researchers and brand managers have limited understanding of the effects social media communication has on how consumers perceive brands. We investigated 504 Facebook users in order to observe the impact of firm-created and user-generated social media communication on brand equity, brand attitude and purchase intention by using a standardized online survey throughout Poland. To test the conceptual model, we analyzed 60 brands across three different industries: non-alcoholic beverages, clothing and mobile network operators. When analyzing the data, we applied the structural equation modeling technique to both investigate the interplay of firm-created and user-generated social media communication and examine industry-specific differences. The results of the empirical studies showed that user-generated social media communication had a positive influence on both brand equity and brand attitude, whereas firm-created social media communication affected only brand attitude. Both brand equity and brand attitude were shown to have a positive influence on purchase intention. In addition, we assessed measurement invariance using a multi-group structural modeling equation. The findings revealed that the proposed measurement model was invariant across the researched industries. However, structural path differences were detected across the models

    Inefficiencies in Digital Advertising Markets

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    Digital advertising markets are growing and attracting increased scrutiny. This article explores four market inefficiencies that remain poorly understood: ad effect measurement, frictions between and within advertising channel members, ad blocking, and ad fraud. Although these topics are not unique to digital advertising, each manifests in unique ways in markets for digital ads. The authors identify relevant findings in the academic literature, recent developments in practice, and promising topics for future research

    Interactive Food and Beverage Marketing: Targeting Children and Youth in the Digital Age

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    Looks at the practices of food and beverage industry marketers in reaching youth via digital videos, cell phones, interactive games and social networking sites. Recommends imposing governmental regulations on marketing to children and adolescents

    Social Media Strategic Plan For Under Armour

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    This thesis is a study of the effects of social media on an organization’s integrated marketing communications strategy in general and provides a proposal of how the sports apparel company Under Armour could use social media to enhance its promotional strategies. It is a discussion of the implications that social media has on consumer behavior with focus on how social media has changed the way today’s consumers interact with brands. This thesis provides an analysis of the growing importance of social media being implemented within a business. Benefits discussed include the appeal of social media over traditional media, increased customer satisfaction, increased loyalty, and brand awareness. A list of essential social media networking sites is discussed under the different platforms of networking, promoting and sharing, highlighting their importance to a business. Under Armour’s current social media presence is discussed and how social media has become a new component of the Integrated Marketing Communications (IMC) mix. An illustration of how Homeland/Embassy strategy uses social media is provided as an example of how Under Armour could use social media in its IMC mix

    Multimodal Content Analysis for Effective Advertisements on YouTube

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    The rapid advances in e-commerce and Web 2.0 technologies have greatly increased the impact of commercial advertisements on the general public. As a key enabling technology, a multitude of recommender systems exists which analyzes user features and browsing patterns to recommend appealing advertisements to users. In this work, we seek to study the characteristics or attributes that characterize an effective advertisement and recommend a useful set of features to aid the designing and production processes of commercial advertisements. We analyze the temporal patterns from multimedia content of advertisement videos including auditory, visual and textual components, and study their individual roles and synergies in the success of an advertisement. The objective of this work is then to measure the effectiveness of an advertisement, and to recommend a useful set of features to advertisement designers to make it more successful and approachable to users. Our proposed framework employs the signal processing technique of cross modality feature learning where data streams from different components are employed to train separate neural network models and are then fused together to learn a shared representation. Subsequently, a neural network model trained on this joint feature embedding representation is utilized as a classifier to predict advertisement effectiveness. We validate our approach using subjective ratings from a dedicated user study, the sentiment strength of online viewer comments, and a viewer opinion metric of the ratio of the Likes and Views received by each advertisement from an online platform.Comment: 11 pages, 5 figures, ICDM 201

    Electronic word of mouth in social media: The common characteristics of retweeted and favourited marketer-generated content posted on Twitter

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    Marketers desire to utilise electronic word of mouth (eWOM) marketing on social media sites. However, not all online content generated by marketers has the same effect on consumers; some of them are effective while others are not. This paper aims to examine different characteristics of marketer-generated content (MGC) that of which one lead users to eWOM. Twitter was chosen as one of the leading social media sites and a content analysis approach was employed to identify the common characteristics of retweeted and favourited tweets. 2,780 tweets from six companies (Booking, Hostelworld, Hotels, Lastminute, Laterooms and Priceline) operating in the tourism sector are analysed. Results indicate that the posts which contain pictures, hyperlinks, product or service information, direct answers to customers and brand centrality are more likely to be retweeted and favourited by users. The findings present the main eWOM drivers for MGC in social media.Abdulaziz Elwalda and Mohammed Alsagga

    Embedding Diversity: Communication and Label Concept for Underutilized Crops – Checklist for your First Evaluation

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    There are some very successful cases of marketing of underutilized crops in European countries. Examples are the marketing of rare varieties in Austrian and Swiss supermarkets. Other examples are market initiatives in Spain, France, or Italy, selling local produces and processed foods in specialised shops, at farmers markets, or directly at the farm. A consumer survey was conducted in 2017 in France, Italy, Spain, and Switzerland during DIVERSIFOOD project in order to gain additional data on such examples; and Rossi et al. (2016)1 developed the DIVERSIFOOD Case Study Framework. Among others an objective of these studies was to identify some best-case examples for the use of a trademark, label or logo and the related communication strategies. Then a flagship approach to communicate the benefits of underutilized crops by means of a label should be developed. The studies identified many individual approaches of the various marketing initiatives, each based on slightly different secrets of success. Within the DIVERSIFOOD consortium it was concluded that there’s no sense in defining a single best-label flagship approach; instead, a concept should give an idea of the possibilities to communicate the value of agrobiodiversity to consumers. This concept is the resulting outcome. It provides a structured approach for networks an market initiatives to evaluate whether a label for underutilized crops is feasible, and wheter it is in line with theire values and aims or not, and what the premises for the communication strategy are for those underutilized crops. This concept provides a general idea about topics that should be considered. The result could be the introduction of a label or the abandonment of introducing a label. In the beginning of such an evaluation there are most likely existing underutilized crops, that is, genetic resources, such as old, locally, and newly bred underutilized varieties, as well as some products or product ideas derived from these crops. The main target groups of this concept are farmers involved in participatory breeding, seed savers, seed networks and communities, foundations, and breeders of underutilized crops, as well as partners of such genetic resources. Moreover, the concept could be interesting for initiatives and organizations that consider the integration of underutilized crops in their existing label; however there is no specific treatment of this topic in the concept. The concept should be considered as the first step in the evaluation of a new label. The treated topics might also hint on further considerations when developing a successful marketing initiative. However, the concept focuses mainly on two points: 1. Introduction of a label2, a logo, a trademark or similar and some implications 2. Communication tools and communication contents for products of underutilized crop

    Opinion mining and sentiment analysis in marketing communications: a science mapping analysis in Web of Science (1998–2018)

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    Opinion mining and sentiment analysis has become ubiquitous in our society, with applications in online searching, computer vision, image understanding, artificial intelligence and marketing communications (MarCom). Within this context, opinion mining and sentiment analysis in marketing communications (OMSAMC) has a strong role in the development of the field by allowing us to understand whether people are satisfied or dissatisfied with our service or product in order to subsequently analyze the strengths and weaknesses of those consumer experiences. To the best of our knowledge, there is no science mapping analysis covering the research about opinion mining and sentiment analysis in the MarCom ecosystem. In this study, we perform a science mapping analysis on the OMSAMC research, in order to provide an overview of the scientific work during the last two decades in this interdisciplinary area and to show trends that could be the basis for future developments in the field. This study was carried out using VOSviewer, CitNetExplorer and InCites based on results from Web of Science (WoS). The results of this analysis show the evolution of the field, by highlighting the most notable authors, institutions, keywords, publications, countries, categories and journals.The research was funded by Programa Operativo FEDER Andalucía 2014‐2020, grant number “La reputación de las organizaciones en una sociedad digital. Elaboración de una Plataforma Inteligente para la Localización, Identificación y Clasificación de Influenciadores en los Medios Sociales Digitales (UMA18‐ FEDERJA‐148)” and The APC was funded by the same research gran
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