Customer response to media in marketing promotion: print versus online

Il lavoro di tesi, che si compone di tre articoli di ricerca, analizza, nel contesto della marketing promotion, la risposta del consumatore ai media in termini di ricordo, intenzione di acquisto, comportamento di acquisto e preferenza per il medium. Il lavoro, in particolare, mette a confronto due tipologie di media, carta e online, nell’ambito della price e loyalty promotion, utilizzando due disegni di ricerca sperimentali ed uno correlazionale. I risultati del lavoro mostrano che la risposta del consumatore alla comunicazione promozionale e ai media è eterogenea: segmenti di clienti diversi rispondono in maniera differente sia alla comunicazione promozionale che a carta e digitale. Online e carta hanno in media la stessa efficacia sui comportamenti di acquisto dei clienti, ma differiscono rispetto all’effetto su ricordo e atteggiamento e rispetto alla preferenza per il medium espressa dalla clientela. Lo spostamento delle risorse di marketing dalla carta al digitale permetterebbe quindi di ridurre i costi mantenendo lo stesso livello di efficacia. Inoltre, il presente lavoro mostra come sia possibile aumentare la risposta dei consumatori ai media attraverso un approccio di segmentazione della clientela.

Aplicação da metodologia Kaizen em gestão de armazém de peças

Mestrado em Engenharia Mecânica - Especialização em Gestão Industrial

Kysynnän hallinnan vaikutukset päivittäistavararyhmän kustannustehokkuuteen

Tutkielman konkreettisena tavoitteena oli rakentaa kauppaketjulle kysynnän hallinnan pohjalta malli, jonka avulla ketju voi parantaa asiakaslähtöisyyttään ja samalla tehostaa toimintaansa. Tutkielman teoriaosassa muodostetun viitekehyksen pitävyyttä kokeiltiin TOKMANNI-ketjun makeistuoteryhmään. Tutkielman teoriaosassa seurattiin päivittäistavarakauppaan suunnatun ECR-toiminnan teoreettista viitekehystä, josta saatiin tietoa kirjallisuudesta, konsulttiraporteista sekä artikkeleista. Empiirinen osa toteutettiin kvantitatiivisilla kohdeyrityksen tuottamilla dokumenteilla, joita täydennettiin kvalitatiivisilla haastattelututkimuksilla. Tutkielman pohjalta ketjun makeistuoteryhmään rakennettiin uudelleen määritelty ja yhtenäinen valikoima sekä esillepano. Valikoiman selkiyttämisellä ja yhtenäistämisellä parannettiin tuoteryhmän hallittavuutta sekä helpotettiin henkilökunnan työskentelyä tilaustoiminnassa, esillepanossa ja kampanjoinnissa. Lisäksi tuoteryhmän selkiytymisen ja kulutuskysynnän mukaisen valikoiman nähtiin parantavan myös tuoteryhmän kannattavuutta ja asiakaslähtöisyyttä siisteinä, selkeinä hyllyinä sekä kulutuskysynnän mukaisena valikoimana. Teoreettinen malli tuntui toimivan myös käytännössä.

Negative online consumer reviews: effects of different responses

Purpose When consumers buy online, they are often confronted with consumer reviews. A negative consumer review on an online shopping website may keep consumers from buying the product. Therefore, negative online consumer reviews are a serious problem for brands. This paper aims to investigate the effects of different response options to a negative consumer review. Design/methodology/approach In an online experiment of 446 participants different response options towards a negative consumer review on an online shopping website are examined. The experimental data is analysed with simple linear regression models using product purchase intentions as the outcome variable. Findings The results indicate that a positive customer review counteracts a negative consumer review more effectively than a positive brand response, whereas brand strength moderates this relationship. Including a reference to an independent, trusted source in a brand or a customer response is only a limited strategy for increasing the effectiveness of a response. Research limitations/implications Additional research in other product categories and with other subjects than students is suggested to validate the findings. In future research, multiple degrees of the phrasing’s strength of the reference could be used. Practical implications Assuming high quality products, brands should encourage their customers to write reviews. Strong brands can also reassure consumers by responding whereas weak brands cannot. Originality/value This research contributes to the online consumer reviews literature with new insights about the role of brand strength and referencing to an independent, trusted source.

Response-based segmentation using Finite Mixture Partial Least Squares: theoretical foundations and an application to American Customer Satisfaction Index Data

When applying multivariate analysis techniques in information systems and social science disciplines, such as management information systems (MIS) and marketing, the assumption that the empirical data originate from a single homogeneous population is often unrealistic. When applying a causal modeling approach, such as partial least squares (PLS) path modeling, segmentation is a key issue in coping with the problem of heterogeneity in estimated cause-and-effect relationships. This chapter presents a new PLS path modeling approach which classifies units on the basis of the heterogeneity of the estimates in the inner model. If unobserved heterogeneity significantly affects the estimated path model relationships on the aggregate data level, the methodology will allow homogenous groups of observations to be created that exhibit distinctive path model estimates. The approach will, thus, provide differentiated analytical outcomes that permit more precise interpretations of each segment formed. An application on a large data set in an example of the American customer satisfaction index (ACSI) substantiates the methodology’s effectiveness in evaluating PLS path modeling results.

The role of discriminant analysis in the refinement of customer satisfaction assessment

OBJECTIVE: To test discriminant analysis as a method of turning the information of a routine customer satisfaction survey (CSS) into a more accurate decision-making tool. METHODS: A 7-question, 10-multiple choice, self-applied questionnaire was used to study a sample of patients seen in two outpatient care units in Valparaíso, Chile, one of primary care (n=100) and the other of secondary care (n=249). Two cutting points were considered in the dependent variable (final satisfaction score): satisfied versus unsatisfied, and very satisfied versus all others. Results were compared with empirical measures (proportion of satisfied individuals, proportion of unsatisfied individuals and size of the median). RESULTS: The response rate was very high, over 97.0% in both units. A new variable, medical attention, was revealed, as explaining satisfaction at the primary care unit. The proportion of the total variability explained by the model was very high (over 99.4%) in both units, when comparing satisfied with unsatisfied customers. In the analysis of very satisfied versus all other customers, significant relationship was identified only in the case of the primary care unit, which explained a small proportion of the variability (41.9%). CONCLUSIONS: Discriminant analysis identified relationships not revealed by the previous analysis. It provided information about the proportion of the variability explained by the model. It identified non-significant relationships suggested by empirical analysis (e.g. the case of the relation very satisfied versus others in the secondary care unit). It measured the contribution of each independent variable to the explanation of the variation of the dependent one.

Determining the Adjustment Baseline Parameters to Define an Accurate Customer Baseline Load

Demand response is an energy resource that has gained increasing importance in the context of competitive electricity markets and of smart grids. New business models and methods designed to integrate demand response in electricity markets and of smart grids have been published, reporting the need of additional work in this field. In order to adequately remunerate the participation of the consumers in demand response programs, improved consumers’ performance evaluation methods are needed. The methodology proposed in the present paper determines the characterization of the baseline approach that better fits the consumer historic consumption, in order to determine the expected consumption in absent of participation in a demand response event and then determine the actual consumption reduction. The defined baseline can then be used to better determine the remuneration of the consumer. The paper includes a case study with real data to illustrate the application of the proposed methodology.

The impact of questions rotation in response accuracy

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Effects of business-to-business customer orientation, satisfaction and retention on firm profitability

The objective of this master’s thesis was to examine the effect of customer orientation on customer satisfaction and how customer satisfaction and customer retention contribute to firm profitability. Beside customer orientation, also other antecedents of customer satisfaction, i.e. service quality, flexibility, trust and commitment, were investigated as control variables. Literature review revealed several research gaps concerning research of the key concepts. These research calls were also answered. The empirical study focused on one case company, a telecommunication expert. The data for the empirical part was collected with web-based questionnaire from case company’s business customers in January-February 2008. Sample (N=95) produced 59 answers, thus the response rate of the survey was 62,1%. The data was analyzed by using statistical analysis program, SPSS. As a conclusion, the results indicate that customer orientation do not affect customer satisfaction directly, but through service quality, flexibility and trust. Moreover, customer satisfaction has positive impacts on commitment and intentions to stay as a customer in the future, but not on profitability. In the present study, only past purchase behavior, measured with customer database measure, is positively related to firm profitability.

Salesperson's customer orientation in the personal selling process and in the use of personal selling techniques in the business-to-business setting

Selling is much maligned, often under-valued subject whose inadequate showing in business schools is in inverse proportion to the many job opportunities it offers and the importance of salespeople bringing incomes to companies. The purpose of this research is to increase the understanding of customer-oriented selling and examine the influence of customer-oriented philosophy on selling process, the applicability of selling techniques to this philosophy and the importance of them to salespeople. The empirical section of the study is two-fold. Firstly, the data of qualitative part was collected by conducting five thematic interviews among sales consultants and case company representatives. The findings of the study indicate that customer-oriented selling requires the activity of salespeople. In the customer-oriented personal selling process, salespeople invest time in the preplanning, the need analysis and the benefit demonstration stages. However, the findings propose that salespeople today must also have the basic capabilities for executing the traditional sales process, and the balance between traditional and consultative selling process will change as the duration of the relationship between the salesperson and customer increases. The study also proposes that selling techniques still belong to the customer-oriented selling process, although their roles might be modest. This thesis mapped 75 selling techniques and the quantitative part of the study explored what selling techniques are considered to be important by salespeople in direct selling industry when they make sales with new and existing customers. Response rate of the survey was 69.5%.

Households’ willingness to engage in demand response in the Finnish retail electricity market: an empirical study

If electricity users adjusted their consumption patterns according to time-variable electricity prices or other signals about the state of the power system, generation and network assets could be used more efficiently, and matching intermittent renewable power generation with electricity demand would be facilitated. This kind of adjustment of electricity consumption, or demand response, may be based on consumers’ decisions to shift or reduce electricity use in response to time-variable electricity prices or on the remote control of consumers’ electric appliances. However, while demand response is suggested as a solution to many issues in power systems, actual experiences from demand response programs with residential customers are mainly limited to short pilots with a small number of voluntary participants, and information about what kinds of changes consumers are willing and able to make and what motivates these changes is scarce. This doctoral dissertation contributes to the knowledge about what kinds of factors impact on residential consumers’ willingness and ability to take part in demand response. Saving opportunities calculated with actual price data from the Finnish retail electricity market are compared with the occurred supplier switching to generate a first estimate about how large savings could trigger action also in the case of demand response. Residential consumers’ motives to participate in demand response are also studied by a web-based survey with 2103 responses. Further, experiences of households with electricity consumption monitoring systems are discussed to increase knowledge about consumers’ interest in getting more information on their electricity use and adjusting their behavior based on it. Impacts of information on willingness to participate in demand response programs are also approached by a survey for experts of their willingness to engage in demand response activities. Residential customers seem ready to allow remote control of electric appliances that does not require changes in their everyday routines. Based on residents’ own activity, the electricity consuming activities that are considered shiftable are very limited. In both cases, the savings in electricity costs required to allow remote control or to engage in demand response activities are relatively high. Nonmonetary incentives appeal to fewer households.

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.

Demand response experience in Europe: policies, programmes and implementation

Over the last few years, load growth, increases in intermittent generation, declining technology costs and increasing recognition of the importance of customer behaviour in energy markets have brought about a change in the focus of Demand Response (DR) in Europe. The long standing programmes involving large industries, through interruptible tariffs and time of day pricing, have been increasingly complemented by programmes aimed at commercial and residential customer groups. Developments in DR vary substantially across Europe reflecting national conditions and triggered by different sets of policies, programmes and implementation schemes. This paper examines experiences within European countries as well as at European Union (EU) level, with the aim of understanding which factors have facilitated or impeded advances in DR. It describes initiatives, studies and policies of various European countries, with in-depth case studies of the UK, Italy and Spain. It is concluded that while business programmes, technical and economic potentials vary across Europe, there are common reasons as to why coordinated DR policies have been slow to emerge. This is because of the limited knowledge on DR energy saving capacities; high cost estimates for DR technologies and infrastructures; and policies focused on creating the conditions for liberalising the EU energy markets.

Customer Evolution in Sales Channel Migration

This research has been triggered by an emergent trend in customer behavior: customers have rapidly expanded their channel experiences and preferences beyond traditional channels (such as stores) and they expect the company with which they do business to have a presence on all these channels. This evidence has produced an increasing interest in multichannel customer behavior and it has motivated several researchers to study the customers’ channel choices dynamics in multichannel environment. We study how the consumer decision process for channel choice and response to marketing communications evolves for a cohort of new customers. We assume a newly acquired customer’s decisions are described by a “trial” model, but the customer’s choice process evolves to a “post-trial” model as the customer learns his or her preferences and becomes familiar with the firm’s marketing efforts. The trial and post-trial decision processes are each described by different multinomial logit choice models, and the evolution from the trial to post-trial model is determined by a customer-level geometric distribution that captures the time it takes for the customer to make the transition. We utilize data for a major retailer who sells in three channels – retail store, the Internet, and via catalog. The model is estimated using Bayesian methods that allow for cross-customer heterogeneity. This allows us to have distinct parameters estimates for a trial and an after trial stages and to estimate the quickness of this transit at the individual level. The results show for example that the customer decision process indeed does evolve over time. Customers differ in the duration of the trial period and marketing has a different impact on channel choice in the trial and post-trial stages. Furthermore, we show that some people switch channel decision processes while others don’t and we found that several factors have an impact on the probability to switch decision process. Insights from this study can help managers tailor their marketing communication strategy as customers gain channel choice experience. Managers may also have insights on the timing of the direct marketing communications. They can predict the duration of the trial phase at individual level detecting the customers with a quick, long or even absent trial phase. They can even predict if the customer will change or not his decision process over time, and they can influence the switching process using specific marketing tools