Online grocery shopping: The impact of shopping frequency on perceived risk

Online grocery shopping has enjoyed strong growth and it is predicted this channel will continue to grow exponentially in the coming years. While online shopping has attracted an abundance of research interest, examinations of online grocery shopping behaviour are only now emerging. Shopping online for groceries differs considerably from general online shopping due to the perishability and variability of the product, and frequency of the shopping activity. Two salient gaps underpin this research into online grocery shopping. This study responds to calls to investigate the online shoppers’ experience in the context of online purchasing frequency. Second, this study examines the mediating effect of perceived risk between trust and online repurchase intention of groceries. An online survey was employed to collect data from shoppers who were recruited from a multi-channel grocery e-retailer’s database. The online survey, comprising 16 reflective validated scale items, was sent to 555 frequent and infrequent online grocery shoppers. Results find that while customer satisfaction predicts trust for both infrequent and frequent online grocery shoppers, perceived risk fully mediates the effect of trust on repurchase intentions for infrequent online grocery shoppers. Furthermore path analysis reveals that the developed behavioural model is variant across both groups of shoppers. Theoretically, we provide a deeper understanding of the online customer experience, while gaining insight into two shopper segments identified as being important to grocery e-retailers. For managers, this study tests an online customer behavioural model with actual purchasing behaviour and identifies the continued presence of perceived risk in grocery e-retailing regardless of purchase frequency or experience.

Impact of online privacy concerns and brand reputation on consumer willingness to provide personal information

The aim of this research was to identify the role of brand reputation in encouraging consumer willingness to provide personal data online, for the benefits of personalisation. This study extends on Malhotra, Kim and Agarwal’s (2004) Internet Users Information Privacy Concerns Model, and uses the theoretical underpinning of Social Contract Theory to assess how brand reputation moderates the relationship between trusting beliefs and perceived value (Privacy Calculus framework) with willingness to give personal information. The research is highly relevant as most privacy research undertaken to date focuses on consumer related concerns. Very little research exists examining the role of brand reputation and online privacy. Practical implications of this research include gaining knowledge as to how to minimise online privacy concerns; improve brand reputation; and provide insight on how to reduce consumer resistance to the collection of personal information and encourage consumer opt-in.

Boost Customer Loyalty with Online Support. The Case of Mobile Telecoms Providers.

The paper explores the effect of customer satisfaction with online supporting services on loyalty to providers of an offline core service. Supporting services are provided to customers before, during, or after the purchase of a tangible or intangible core product, and have the purpose of enhancing or facilitating the use of this product. The internet has the potential to dominate all other marketing channels when it comes to the interactive and personalised communication that is considered quintessential for supporting services. Our study shows that the quality of online supporting services powerfully affects satisfaction with the provider and customer loyalty through its effect on online value and enjoyment. Managerial implications are provided.

CAVVA: Computational Affective Video-in-Video Advertising

Advertising is ubiquitous in the online community and more so in the ever-growing and popular online video delivery websites (e. g., YouTube). Video advertising is becoming increasingly popular on these websites. In addition to the existing pre-roll/post-roll advertising and contextual advertising, this paper proposes an in-stream video advertising strategy-Computational Affective Video-in-Video Advertising (CAVVA). Humans being emotional creatures are driven by emotions as well as rational thought. We believe that emotions play a major role in influencing the buying behavior of users and hence propose a video advertising strategy which takes into account the emotional impact of the videos as well as advertisements. Given a video and a set of advertisements, we identify candidate advertisement insertion points (step 1) and also identify the suitable advertisements (step 2) according to theories from marketing and consumer psychology. We formulate this two part problem as a single optimization function in a non-linear 0-1 integer programming framework and provide a genetic algorithm based solution. We evaluate CAVVA using a subjective user-study and eye-tracking experiment. Through these experiments, we demonstrate that CAVVA achieves a good balance between the following seemingly conflicting goals of (a) minimizing the user disturbance because of advertisement insertion while (b) enhancing the user engagement with the advertising content. We compare our method with existing advertising strategies and show that CAVVA can enhance the user's experience and also help increase the monetization potential of the advertising content.

Understanding the Effect of Television Advertising on Women's Attitudes and Purchase Intentions Towards Beer: A Study of Three Major Brands.

Abstract Purpose of Paper: The market for beer in the UK is now mature and sales have been stable at around £16bn for about ten years (Mintel 2014). More recently, there have been changes in the market as consumers have switched from bigger mainstream brands to a growing number of smaller craft beers. However, in order to grow further significantly, the industry needs to explore new market segments and find new consumers for beer. So far, it is estimated that only 1.3m women in the UK drink beer (O'Reilly, 2014; Mail Online, 2015). Women are therefore an underexplored segment and present the main growth opportunity for beer drinking in the UK. However, most beer television advertising has traditionally been aimed at the male audience and there have been suggestions that some of this advertising has been seen as unpopular with or even insulting to women (Jackson, 2013; Zwarun et al., 2006). The Chief Executive of major brewer SAB Miller, which owns the Foster's brand, has recently written that, 'We have to acknowledge that core lager advertising, for many years, was either dismissive of, or insulting to, women.' (Shubber, 2015). If women are to be the new consumers and the future target for beer advertising, there is therefore a significant gap in the knowledge and literature concerned with how women differ from men in responding to the television advertising produced by beer brands and it is important that this gap in knowledge is addressed. The purpose of this paper is therefore to explore the effect of the television advertising of the three top selling UK beer brands on women's attitudes and purchase intentions towards those brands. More specifically, the objectives are: 1) To gain an understanding of how female consumers respond to existing beer television advertising, specifically in terms of the ‘likeability’ of the content of TV commercials produced by the three leading UK beer brands among female consumers. 2) To examine the effect of the rational and emotional content, including the use of humour, in television commercials produced by the three leading UK beer brands on the attitudes of female consumers towards those brands. 3) To explore in-depth female consumer attitudes towards the content (message cues and symbolism) of the television commercials produced by the three leading beer brands in the UK and their effect on subsequent purchase intentions for each brand.

Proposta de melhoria da presença online da marca Cabeça, Aldeia Natal

Relatório de estágio apresentado à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Publicidade e Marketing.

Search engine advertising in web retailing : an efficiency analysis

This study examines the efficiency of search engine advertising strategies employed by firms. The research setting is the online retailing industry, which is characterized by extensive use of Web technologies and high competition for market share and profitability. For Internet retailers, search engines are increasingly serving as an information gateway for many decision-making tasks. In particular, Search engine advertising (SEA) has opened a new marketing channel for retailers to attract new customers and improve their performance. In addition to natural (organic) search marketing strategies, search engine advertisers compete for top advertisement slots provided by search brokers such as Google and Yahoo! through keyword auctions. The rationale being that greater visibility on a search engine during a keyword search will capture customers' interest in a business and its product or service offerings. Search engines account for most online activities today. Compared with the slow growth of traditional marketing channels, online search volumes continue to grow at a steady rate. According to the Search Engine Marketing Professional Organization, spending on search engine marketing by North American firms in 2008 was estimated at $13.5 billion. Despite the significant role SEA plays in Web retailing, scholarly research on the topic is limited. Prior studies in SEA have focused on search engine auction mechanism design. In contrast, research on the business value of SEA has been limited by the lack of empirical data on search advertising practices. Recent advances in search and retail technologies have created datarich environments that enable new research opportunities at the interface of marketing and information technology. This research uses extensive data from Web retailing and Google-based search advertising and evaluates Web retailers' use of resources, search advertising techniques, and other relevant factors that contribute to business performance across different metrics. The methods used include Data Envelopment Analysis (DEA), data mining, and multivariate statistics. This research contributes to empirical research by analyzing several Web retail firms in different industry sectors and product categories. One of the key findings is that the dynamics of sponsored search advertising vary between multi-channel and Web-only retailers. While the key performance metrics for multi-channel retailers include measures such as online sales, conversion rate (CR), c1ick-through-rate (CTR), and impressions, the key performance metrics for Web-only retailers focus on organic and sponsored ad ranks. These results provide a useful contribution to our organizational level understanding of search engine advertising strategies, both for multi-channel and Web-only retailers. These results also contribute to current knowledge in technology-driven marketing strategies and provide managers with a better understanding of sponsored search advertising and its impact on various performance metrics in Web retailing.

Keyword Competition and Determinants of Ad Position in Sponsored Search Advertising

Given the significant growth of the Internet in recent years, marketers have been striving for new techniques and strategies to prosper in the online world. Statistically, search engines have been the most dominant channels of Internet marketing in recent years. However, the mechanics of advertising in such a market place has created a challenging environment for marketers to position their ads among their competitors. This study uses a unique cross-sectional dataset of the top 500 Internet retailers in North America and hierarchical multiple regression analysis to empirically investigate the effect of keyword competition on the relationship between ad position and its determinants in the sponsored search market. To this end, the study utilizes the literature in consumer search behavior, keyword auction mechanism design, and search advertising performance as the theoretical foundation. This study is the first of its kind to examine the sponsored search market characteristics in a cross-sectional setting where the level of keyword competition is explicitly captured in terms of the number of Internet retailers competing for similar keywords. Internet retailing provides an appropriate setting for this study given the high-stake battle for market share and intense competition for keywords in the sponsored search market place. The findings of this study indicate that bid values and ad relevancy metrics as well as their interaction affect the position of ads on the search engine result pages (SERPs). These results confirm some of the findings from previous studies that examined sponsored search advertising performance at a keyword level. Furthermore, the study finds that the position of ads for web-only retailers is dependent on bid values and ad relevancy metrics, whereas, multi-channel retailers are more reliant on their bid values. This difference between web-only and multi-channel retailers is also observed in the moderating effect of keyword competition on the relationships between ad position and its key determinants. Specifically, this study finds that keyword competition has significant moderating effects only for multi-channel retailers.

Massive Open Online Courses and sustainability

Massive Open Online Courses (MOOCs) have become very popular among learners millions of users from around the world registered with leading platforms. There are hundreds of universities (and other organizations) offering MOOCs. However, sustainability of MOOCs is a pressing concern as MOOCs incur up front creation costs, maintenance costs to keep content relevant and on-going support costs to provide facilitation while a course is being run. At present, charging a fee for certification (for example Coursera Signature Track and FutureLearn Statement of Completion) seems a popular business model. In this paper, the authors discuss other possible business models and their pros and cons. Some business models discussed here are: Freemium model – providing content freely but charging for premium services such as course support, tutoring and proctored exams. Sponsorships – courses can be created in collaboration with industry where industry sponsorships are used to cover the costs of course production and offering. For example Teaching Computing course was offered by the University of East Anglia on the FutureLearn platform with the sponsorship from British Telecom while the UK Government sponsored the course Introduction to Cyber Security offered by the Open University on FutureLearn. Initiatives and Grants – The government, EU commission or corporations could commission the creation of courses through grants and initiatives according to the skills gap identified for the economy. For example, the UK Government’s National Cyber Security Programme has supported a course on Cyber Security. Similar initiatives could also provide funding to support relevant course development and offering. Donations – Free software, Wikipedia and early OER initiatives such as the MIT OpenCourseware accept donations from the public and this could well be used as a business model where learners could contribute (if they wish) to the maintenance and facilitation of a course. Merchandise – selling merchandise could also bring revenue to MOOCs. As many participants do not seek formal recognition (European Commission, 2014) for their completion of a MOOC, merchandise that presents their achievement in a playful way could well be attractive for them. Sale of supplementary material –supplementary course material in the form of an online or physical book or similar could be sold with the revenue being reinvested in the course delivery. Selective advertising – courses could have advertisements relevant to learners Data sharing – though a controversial topic, sharing learner data with relevant employers or similar could be another revenue model for MOOCs. Follow on events – the courses could lead to follow on summer schools, courses or other real-life or online events that are paid-for in which case a percentage of the revenue could be passed on to the MOOC for its upkeep. Though these models are all possible ways of generating revenue for MOOCs, some are more controversial and sensitive than others. Nevertheless unless appropriate business models are identified the sustainability of MOOCs would be problematic.

Meccanismi d'asta per on-line advertising: modelli, equilibri ed efficienza

Il seguente lavoro di tesi tratta l'argomento delle aste in modo tecnico, ovvero cerca di descriverne i modelli e le caratteristiche principali, spesso ignorate dagli stessi fruitori. Nel capitolo 1 si introduce brevemente il concetto di asta, descrivendone i principali elementi costitutivi. Si ripercorrono poi le origini di questa procedura ed alcuni suoi utilizzi. Nel capitolo 2 si presentano inizialmente le principali tipologie di aste conosciute e si accenna al processo di valutazione dell'oggetto d'asta. Si introduce poi il concetto di Private Value, analizzandolo per ogni tipo di asta e confrontando queste sotto l'aspetto della rendita. Si enuncia in seguito un principio fondamentale, quale quello dell'equivalenza delle rendite, rilassandone alcuni assunti basilari. Infine si passa al concetto di valori interdipendenti all'interno delle aste, valutandone equilibri, rendite ed efficienza, accennando nel contempo al problema denominato Winner's curse. Nel capitolo 3 si parla dei meccanismi di asta online, ponendo l'attenzione su un loro aspetto importante, ovvero la veridicità, ed analizzandoli attraverso l'analisi del caso peggiore e del caso medio in alcuni esempi costruiti ad-hoc. Nel capitolo 4 si descrivono in particolare le sponsored search auctions, narrandone inizialmente la storia, e successivamente passando all'analisi di equilibri, rendite ed efficienza; si presenta, infine, un modello di tali aste mettendone in rapporto la computabilità con quella dei meccanismi offline conosciuti.

Misure di audience nell'Internet Advertising: studio di caso della start-up "Taggalo"

L’avvento di Internet e delle innovazioni tecnologiche hanno determinato una rivoluzione nel panorama della comunicazione e dell’informazione soprattutto in quello pubblicitario. La pubblicità online (in inglese Advertising Online o Internet Advertising) è un fenomeno in continua crescita. Rispetto ai media tradizionali come la stampa e la televisione dove i contenuti sono trasmessi in modo generico e di massa, l’Advertising Online sfrutta la capacità del World Wide Web al fine di raggiungere una quantità notevole di persone permettendo di attuare campagne pubblicitarie verso un target mirato. In questo settore la facilità di misurare l'effetto nei confronti del pubblico permette alle aziende di investire in questo tipo di mercato rispetto a quello tradizionale poiché, in quest'ultimo l’assenza di strumenti di misurazione è basata su rilevanze teoriche. In riferimento a quanto citato, un’oggetto di studio e di analisi presentato in questa tesi riguarda la start-up TAGGALO un sistema ideato e sviluppato da un gruppo di ricercatori del CNR Puglia. Questa soluzione tecnologia è applicata nel campo pubblicitario del Digital out of Home e del Digital Signage dove la comunicazione del messaggio viene percepita dal potenziale cliente mentre è fuori casa mediante l’uso di schermi elettronici disposti nella maggior parte dei luoghi pubblici. Attraverso questa tecnologia è possibile rilevare il reale impatto della pubblicità online, rappresentando una soluzione efficace per misurare il reale ritorno per chi investe ovvero il ROI.

The Role of Online Platforms for Media Markets – Two‐Dimensional Spatial Competition in a Two‐Sided Market

We analyze the market for online and offline media in a model of two-dimensional spatial competition where media outlets sell content and advertising space. Consumer preferences are distributed along the style and type of news coverage where the distance costs may vary across dimensions. For integrated provision of online and offline platforms we show that entering the online market reduces average profits and may even constitute a prisoner's dilemma. Specialized provision may yield polarization in the style and type dimensions. This is in contrast to the maximum–minimum differentiation result previously established in the literature on multidimensional horizontal competition. We show that maximal differentiation in both dimensions occurs due to the discrete nature of the type dimension and asymmetric advertising markets.

Investigating the value of privacy on online social networks: conjoint analysis

Popularity of Online Social Networks has been recently overshadowed by the privacy problems they pose. Users are getting increasingly vigilant concerning information they disclose and are strongly opposing the use of their information for commercial purposes. Nevertheless, as long as the network is offered to users for free, providers have little choice but to generate revenue through personalized advertising to remain financially viable. Our study empirically investigates the ways out of this deadlock. Using conjoint analysis we find that privacy is indeed important for users. We identify three groups of users with different utility patterns: Unconcerned Socializers, Control-conscious Socializers and Privacy-concerned. Our results provide relevant insights into how network providers can capitalize on different user preferences by specifically addressing the needs of distinct groups in the form of various premium accounts. Overall, our study is the first attempt to assess the value of privacy in monetary terms in this context.

Quality of pharmaceutical advertising and gender bias in medical journals (1998-2008): a review of the scientific literature

Objective: To review the scientific literature on pharmaceutical advertising aimed at health professionals in order to determine whether gender bias has decreased and the quality of information in pharmaceutical advertising has improved over time. Methods: We performed a content analysis of original articles dealing with medical drug promotion (1998-2008), according to quality criteria such as (a) the number, validity and accessibility of bibliographic references provided in pharmaceutical advertising and (b) the extent to which gender representations were consistent with the prevalence of the diseases. Databases: PUBMED, Medline, Scopus, Sociological Abstract, Eric and LILACS. Results: We reviewed 31 articles that analyzed advertising in medical journals from 1975-2005 and were published between 1998 and 2008. We found that the number of references used to support pharmaceutical advertising claims increased from 1975 but that 50% of these references were not valid. There was a tendency to depict men in paid productive roles, while women appeared inside the home or in non-occupational social contexts. Advertisements for psychotropic and cardiovascular drugs overrepresented women and men respectively. Conclusions: The use of bibliographic references increased between 1998 and 2008. However, representation of traditional male-female roles was similar in 1975 and 2005. Pharmaceutical advertisements may contribute to reinforcing the perception that certain diseases are associated with the most frequently portrayed sex.

Assessing advertising in a hierarchical decision model

Many destination marketing organizations in the United States and elsewhere are facing budget retrenchment for tourism marketing, especially for advertising. This study evaluates a three-stage model using Random Coefficient Logit (RCL) approach which controls for correlations between different non-independent alternatives and considers heterogeneity within individual’s responses to advertising. The results of this study indicate that the proposed RCL model results in a significantly better fit as compared to traditional logit models, and indicates that tourism advertising significantly influences tourist decisions with several variables (age, income, distance and Internet access) moderating these decisions differently depending on decision stage and product type. These findings suggest that this approach provides a better foundation for assessing, and in turn, designing more effective advertising campaigns.