Closed-loop feedback computation model of dynamical reputation based on the local trust evaluation in business-to-consumer e-commerce

Trust and reputation are important factors that influence the success of both traditional transactions in physical social networks and modern e-commerce in virtual Internet environments. It is difficult to define the concept of trust and quantify it because trust has both subjective and objective characteristics at the same time. A well-reported issue with reputation management system in business-to-consumer (BtoC) e-commerce is the “all good reputation” problem. In order to deal with the confusion, a new computational model of reputation is proposed in this paper. The ratings of each customer are set as basic trust score events. In addition, the time series of massive ratings are aggregated to formulate the sellers’ local temporal trust scores by Beta distribution. A logical model of trust and reputation is established based on the analysis of the dynamical relationship between trust and reputation. As for single goods with repeat transactions, an iterative mathematical model of trust and reputation is established with a closed-loop feedback mechanism. Numerical experiments on repeated transactions recorded over a period of 24 months are performed. The experimental results show that the proposed method plays guiding roles for both theoretical research into trust and reputation and the practical design of reputation systems in BtoC e-commerce.

Business to consumer eCommerce : implications for employee management

This research explored the way service organisations deal with employee management issues when implementing eCommerce technologies. The thesis proposes a framework for understanding the technology-mediated context of the customer-employee interaction in service organisations when implementing eCommerce. The framework assists in achieving a balance between achieving efficiencies and maintaining customer loyalty.

Models of trust in business-to-consumer electronic commerce : a review of multi-disciplinary approaches

The issue of trust in Internet-based business-to-consumer electronic commerce has been explored from a number of difference perspectives. The current body of research is diverse and fragmented. This paper critically reviews recently published models pertaining to trust in business to consumer e-commerce. For analytical purposes we categorize the literature in three main streams: technological, design and sociological/psychological. Based on our analysis and our own empirical observations we raise four main areas of concern that warrant further research attention: an oversimplification of the trust concept, a uni-directional view of trust, discipline centered approaches to modelling trust and a lack of empirical grounding and testing. In the light of these concerns we recommend avenues for further research.

Migração de valor do produto para o cliente: estratégia aplicada ao comércio eletrônico business-to-consumer

Analisa as opções estratégicas para as empresas de comércio eletrônico que vendem produtos e serviços a consumidores finais. Formula um modelo de desenho estratégico baseado em 4 pontos: atenção, confiança, personalização e fidelidade. Aplica o modelo proposto na análise do sucesso do modelo de negócios da empresa Amazon.com.

Studio ed integrazione di un sistema di collaborative filtering su piattaforma e-commerce business to consumer

I sistemi di raccomandazione sono una tipologia di sistemi di filtraggio delle informazioni che cercano di prevedere la valutazione o la preferenza che l'utente potrebbe dare ad un elemento. Sono diventati molto comuni in questi ultimi anni e sono utilizzati da una vasta gamma di applicazioni, le più popolari riguardano film, musica, notizie, libri, articoli di ricerca e tag di social networking. Tuttavia, ci sono anche sistemi di raccomandazione per i ristoranti, servizi finanziari, assicurazioni sulla vita e persone (siti di appuntamenti online, seguaci di Twitter). Questi sistemi, tuttora oggetto di studi, sono già applicati in un'ampia gamma di settori, come ad esempio le piattaforme di scoperta dei contenuti, utilizzate on-line per aiutare gli utenti nella ricerca di trasmissioni televisive; oppure i sistemi di supporto alle decisioni che utilizzano sistemi di raccomandazione avanzati, basati sull'apprendimento delle conoscenze, per aiutare i fruitori del servizio nella soluzioni di problemi complessi. Inoltre, i sistemi di raccomandazione sono una valida alternativa agli algoritmi di ricerca in quanto aiutano gli utenti a scoprire elementi che potrebbero non aver trovato da soli. Infatti, sono spesso implementati utilizzando motori di ricerca che indicizzano dati non tradizionali.

Relationship fading in business-to-consumer context

The objective of this paper is to explain the phenomenon of relationship fading in a business-to-consumer (B2C) context and to identify the key antecedents and drivers in this process. Fading relates to a gradual decline in consumers’ willingness to continue a relationship with a company. Therefore it may help to elucidate the ‘unexplained’ relationship dissolution and customer defection. Led by an assumption that a relationship between a consumer and a brand is like the one between individuals, the paper proposes that the trajectory of relationship fading reflects disaffection processes similar to the ones suggested in marital and romantic relationships between individuals. Stages of the fading process and their characteristics are presented. Academic and practical implications are subsequently presented.

Relationship fading in business-to-consumer context

The objective of this thesis is to develop a better understanding of the relationship fading phenomenon in business-to-consumer context. Fading relates to a gradual decline in consumer’s willingness to continue a relationship with a company. Therefore, understanding the fading process may help to elucidate the ‘unexplained’ relationship dissolution and customer defection. Led by an assumption that a relationship between a consumer and a brand is like the one between individuals, the thesis proposes that the trajectory of relationship fading reflects the disaffection processes similar to the ones suggested in marital and romantic relationships between individuals. The approach taken to answering this research question is a multi-study approach. This type of approach allows addressing each individual research question independently, using the most appropriate research methods. As a result, the thesis comprises three adjacent studies. All three studies are linked and together contribute to a better understanding of the relationship fading process, which is the main topic of the thesis. Based on the results from the first study, a set of boundary conditions of relationship fading is identified. The results of the second study suggest that predictors of relationship fading stage can be uncovered. Thirdly, different restoration techniques are explored, aiming to describe their effectiveness in various relationship fading stages. Individual objectives of the three studies are accomplished. All three studies contribute to achieving the overall objective of the thesis, namely to developing a better understanding of the phenomenon of relationship fading.

Online presence of the international automobile industry: evaluation of the digital business representation in the business to consumer section of the international automobile industry

Tesis inédita presentada en la Universidad Europea de Madrid. Facultad de Ciencias Sociales. Programa de Doctorado en Economía y Empresa

The effectiveness of literalism-symbolism in business-to-business advertising

A basic element in advertising strategy is the choice of an appeal. In business-to-business (B2B) marketing communication, a long-standing approach relies on literal and factual, benefit-laden messages. Given the highly complex, costly and involved processes of business purchases, such approaches are certainly understandable. This project challenges the traditional B2B approach and asks if an alternative approach—using symbolic messages that operate at a more intrinsic or emotional level—is effective in the B2B arena. As an alternative to literal (factual) messages, there is an emerging body of literature that asserts stronger, more enduring results can be achieved through symbolic messages (imagery or text) in an advertisement. The present study contributes to this stream of research. From a theoretical standpoint, the study explores differences in literal-symbolic message content in B2B advertisements. There has been much discussion—mainly in the consumer literature—on the ability of symbolic messages to motivate a prospect to process advertising information by necessitating more elaborate processing and comprehension. Business buyers are regarded as less receptive to indirect or implicit appeals because their purchase decisions are based on direct evidence of product superiority. It is argued here, that these same buyers may be equally influenced by advertising that stimulates internally-directed motivation, feelings and cognitions about the brand. Thus far, studies on the effect of literalism and symbolism are fragmented, and few focus on the B2B market. While there have been many studies about the effects of symbolism no adequate scale exists to measure the continuum of literalism-symbolism. Therefore, a first task for this study was to develop such a scale. Following scale development, content analysis of 748 B2B print advertisements was undertaken to investigate whether differences in literalism-symbolism led to higher advertising performance. Variations of time and industry were also measured. From a practical perspective, the results challenge the prevailing B2B practice of relying on literal messages. While definitive support was not established for the use of symbolic message content, literal messages also failed to predict advertising performance. If the ‘fact, benefit laden’ assumption within B2B advertising cannot be supported, then other approaches used in the business-to-consumer (B2C) sector, such as symbolic messages may be also appropriate in business markets. Further research will need to test the potential effects of such messages, thereby building a revised foundation that can help drive advances in B2B advertising. Finally, the study offers a contribution to the growing body of knowledge on symbolism in advertising. While the specific focus of the study relates to B2B advertising, the Literalism-Symbolism scale developed here provides a reliable measure to evaluate literal and symbolic message content in all print advertisements. The value of this scale to advance our understanding about message strategy may be significant in future consumer and business advertising research.

Comunicação Externa em Business-to-Business

Esta versão não contém as críticas e sugestões dos elementos do júri

Satisfaction with complaint handling:a replication study on its determinants in a business-to-business context

Research on the drivers of satisfaction with complaint handling (SATCOM) underlines the importance of procedural, relational, and interactional justice (Orsingher, Valentini, & de Angelis, 2010). Since these SATCOM-studies are largely conducted in business-to-consumer (B2C) markets, it is unclear what drives SATCOM in business-to-business (B2B) markets. Therefore, we replicate the justice model in an industrial context and find significant differences for procedural justice and interactional justice but not for distributive justice. While distributive justice is equally important in both contexts, procedural justice is more important in B2B markets whereas interactional justice drives SATCOM only in B2C markets. © 2013 Elsevier B.V.

Antidepressant direct-to-consumer prescription drug advertising and public stigma of depression : the mediating role of perceived prevalence of depression

This study examines whether memory of antidepressant direct-to-consumer (DTC) prescription drug advertising is associated with the public stigma attached to depression. Results indicate that those who better remember antidepressant DTC ads tend to have a higher perceived prevalence of depression (i.e., more people suffer from depression). And, the perceived prevalence of depression is inversely associated with the public stigma toward depression. That is, those who have a higher perceived prevalence of depression report that they are more supportive of and comfortable with people who have depression. The results suggest that the perceived prevalence of depression is a mediating variable that accounts for the relationship between memory of antidepressant DTC ads and the public stigma toward depression. The implications and limitations of the study, as an exploratory investigation, are discussed.