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.

Customer experience quality: an exploration in business and consumer contexts using repertory grid technique

This study proposes a conceptual model for customer experience quality and its impact on customer relationship outcomes. Customer experience is conceptualized as the customer’s subjective response to the holistic direct and indirect encounter with the firm, and customer experience quality as its perceived excellence or superiority. Using the repertory grid technique in 40 interviews in B2B and B2C contexts, the authors find that customer experience quality is judged with respect to its contribution to value-in-use, and hence propose that value-in-use mediates between experience quality and relationship outcomes. Experience quality includes evaluations not just of the firm’s products and services but also of peer-to-peer and complementary supplier encounters. In assessing experience quality in B2B contexts, customers place a greater emphasis on firm practices that focus on understanding and delivering value-in-use than is generally the case in B2C contexts. Implications for practitioners’ customer insight processes and future research directions are suggested.

A parallel convolutional coder including embedded puncturing with application to consumer devices

As consumers demand more functionality) from their electronic devices and manufacturers supply the demand then electrical power and clock requirements tend to increase, however reassessing system architecture can fortunately lead to suitable counter reductions. To maintain low clock rates and therefore reduce electrical power, this paper presents a parallel convolutional coder for the transmit side in many wireless consumer devices. The coder accepts a parallel data input and directly computes punctured convolutional codes without the need for a separate puncturing operation while the coded bits are available at the output of the coder in a parallel fashion. Also as the computation is in parallel then the coder can be clocked at 7 times slower than the conventional shift-register based convolutional coder (using DVB 7/8 rate). The presented coder is directly relevant to the design of modern low-power consumer devices

Documents as 'critical incidents' in organisation to consumer communication

A diary study tracked the paper documents received by nine UK informants over one month. Informants gave simple ratings of individual documents’ attractiveness and the ease of understanding them; more detailed reactions to the documents were gathered through informant diaries and follow-up interviews. The detailed reactions extended beyond the feedback gathered through the rating task. Informants showed sensitivity to the content, language, design and circumstances of receipt of documents, with indications that they developed opinions of originating organizations based on their experience of using their documents. Documents that failed to provide all the information needed, that failed to make their intentions clear (or obscured their intentions) or that were perceived as miss-targeted received negative comment. Repeat experiences of receiving either well- or poorly-conceived documents strengthened informant reactions to individual originating organizations. The paper concludes with recommendations for steps document originators, writers and designers need to take to prepare documents that enhance organization to consumer communication. We recommend that organizations evaluate and act on consumers’ reactions to their documents, beyond user testing in document development or scorecard ratings in use.

A literature review and future agenda for B2B branding: Challenges of branding in a B2B context

The existing body of research knowledge on brand management has been predominantly derived from business-to-consumer markets, particularly fast moving consumer goods and has only recently started to expand in other contexts. Branding in business-to-business markets has received comparatively little attention in the academic literature due to a belief that industrial buyers are unaffected by the emotional values corresponding to brands. This paper provides a critical discussion of the fragmented literature on business-to-business branding which is organized in five themes: B2B branding benefits; the role of B2B brands in the decision making process; B2B brand architecture; B2B brands as communication enablers and relationship builders; and industrial brand equity. Drawing on the gaps and contradictions in the literature the paper concludes by proposing an agenda for future research.

Context relevant persuasive interaction and design: consideration of human factors influencing B2C persuasive interaction

The revolutions of electronic and mobile commerce have opened up unique opportunities for global marketing and business to consumer (B2C) persuasive interaction; with the aim of influencing user behavior. The success or failure of such persuasive interaction is impacted by cultural, social, and personal dimensions. Accordingly, failure to consider such dimensions risks the user forming a negative attitude towards retailer’s websites or mobile applications, which subsequently threatens customer behavior. A better understanding of human factors influencing the way people perceive B2C persuasive interaction is needed. This paper is introduces the concept of a context relevant persuasive interaction and proposes a guideline for designing relevant B2C persuasive interaction.

Transfer effects in implicit memory and consumer choice

Two experiments investigated transfer effects in implicit memory and consumer choice, using a preference judgement task. Experiment 1 examined whether it is possible to obtain priming for unfamiliar food labels. Additionally, it investigated whether the experience of seeing a brand name with a particular product type would benefit subsequent processing of the brand name when linked with a different product type. Experiment 2 examined whether changes in modality between study and test would affect priming for unfamiliar brand names. Both questions are theoretically important, as well as pertaining to practical concerns in the consumer choice literature. Experiment 1 demonstrated significant priming for unfamiliar food labels, and established that priming was unaffected by changing the product type with which the brand name was associated. In Experiment 2, priming on both auditory and visual versions of the preference judgement task was reduced by changes in modality. The results and implications are discussed in relation to consumer choice and current theories of implicit memory.

Exchange rate pass-through to prices in macrodata: a comparative sensitivity analysis

This paper compares exchange rate pass-through to aggregate prices in the US, Germany and Japan across a number of dimensions. Building on the empirical approaches in the recent literature, our contribution is to perform a thorough sensitivity analysis of pass-through estimates. We find that the econometric method, data frequency and variable proxy employed matter for the precision of details, yet they often agree on some general trends. Thus, pass-through to import prices has declined in the 1990s relative to the 1980s, pass-through to export prices remains country-specific and pass-through to consumer prices is nowadays negligible in all three economies we considered.

Information sources and advice used by small business tenants when leasing commercial property

Many small businesses lease commercial premises. The terms of a lease can affect the ability of the business to grow and adapt and have an impact on cashflow. Ensuring that they have the information with which to negotiate terms is part of the UK government policy focus on small businesses. Such information is most effectively disseminated through the sources of advice that small businesses use during the leasing process. Therefore these sources of advice need identifying. An interview survey of small business tenants who have recently taken leases provides initial results that suggest small businesses do not seek out advice during the leasing process or see the need to be better informed. The only formal professional input is from solicitors but this is not until after the main commercial terms have been agreed. The landlords’ letting agents play a key, but ambiguous, role in providing information as well as advice. These results suggest that the most effective way of disseminating information by government could be via the letting agents, the very people with whom the tenants are negotiating.

Parallel pipelined array architectures for real-time histogram computation in consumer devices

The real-time parallel computation of histograms using an array of pipelined cells is proposed and prototyped in this paper with application to consumer imaging products. The array operates in two modes: histogram computation and histogram reading. The proposed parallel computation method does not use any memory blocks. The resulting histogram bins can be stored into an external memory block in a pipelined fashion for subsequent reading or streaming of the results. The array of cells can be tuned to accommodate the required data path width in a VLSI image processing engine as present in many imaging consumer devices. Synthesis of the architectures presented in this paper in FPGA are shown to compute the real-time histogram of images streamed at over 36 megapixels at 30 frames/s by processing in parallel 1, 2 or 4 pixels per clock cycle.