Country and consumer segmentation: multi-level latent class analysis of financial product ownership

The financial services sector has internationalized over the last few decades. Important differences and similarities in financial behavior can be anticipated between both consumers within a particular country and those living in different countries. For companies in this market, the appropriate choice between strategic options and the resulting international performance may critically depend on the cross-national market structure of the various financial products. Insight into country segments and international consumer segments based on domain-specific behavioral variables will therefore be of key strategic importance. We present a multi-level latent class framework for obtaining simultaneously such country and consumer segments. In an empirical study, we apply this methodology and several alternative modeling approaches to data on ownership of eight financial products. Information is available for 15 European countries, with a sample size of about 1000 consumers per country. We find that both country segments and consumer segments are highly interpretable. Also, consumer segmentation is related to demographic variables such as age and income. Our conclusions feature implications, both academic and managerial, and directions for future research.     

Combining revealed and stated preferences data

Our objective is to develop a unifying framework for the incorporation of different types of survey data in individual choice models. We describe statistical methodologies that combine multiple sources of data in the estimation of individual choice models and summarize the current state of the art of data combination methods that have been used with market research data. The most successful applications so far have combined revealed and stated preference data. We discuss different types of market and survey data and provide examples of research contexts in which one might wish to combine them. Although these methods show a great deal of promise and have already been used successfully in a number of applications, several important research issues remain. A discussion of these issues and directions for further research conclude the paper.     

A nested logit model of brand choice incorporating variety-seeking and marketing-mix variables

We model the effects of variety-seeking and marketing-mix variables on consumers' purchases of coffee using a nested logit model. We premise that on any given purchase occasion, the utilities of brands other than the one purchased on the previous occasion may be correlated due to the consumer's tendency to seek variety or to avoid variety. This results in a two-level hierarchical model where choice on any purchase occasion is conditioned on the brand purchased on the immediately preceding occasion. Such a structure accounts for variety seeking and inertia tendencies of consumers and is consistent with a hierarchical decision process, where consumers first decide whether or not to make a repeat purchase and then decide which brand size to purchase. The assumed hierarchical structure is shown to be consistent with observed coffee purchase behavior, and the model is shown to outperform a nonhierarchical logit model in predicting consumers' brand choices.     

Latent class modeling of website users’ search patterns: Implications for online market segmentation

Appropriate modeling of web use patterns may yield very relevant marketing and retailing information. We propose using a model-based clustering approach for market segmentation based on website users’ search patterns. We not only provide a detailed discussion of technical issues such as the problem of the selection of the number of segments, but also a very interesting empirical illustration of the potentials of the proposed approach.     

A structural equation model of impulse buying behaviour in grocery retailing

PurposeEnvironmental changes, specifically the economic crisis and the growing penetration of digital technologies, have produced significant changes in shopping habits designed to create new paradigms for impulse buying behaviour. A new scenario seems to be opening up where customers enter the store much more prepared than in the past searching for products they had planned to buy. The purpose of this paper is to explore the determinants of impulse buying in a context of more planning and preparation for shopping.Design /methodology/approachThe data were obtained using a structured questionnaire from 316 respondents interviewed instore thanks to the cooperation of a leading Italian retail chain. We conducted a two-stage approach mall-intercept survey method to collect data. Firstly, we interviewed customers before entering the store, enquiring them about the pre-shopping preparation and shopping enjoyment tendency. Secondly, we interviewed the same customers at the end of their shopping trips, asking them to indicate which purchases were unplanned. Then, shoppers answered to questions regarding their general tendency to engage in impulse buying, the urges experienced to make impulse purchases, the level of positive and negative affect experienced during the shopping trip.FindingsIn the structural model tested with LISREL 8, we found that pre-shopping tendency influences directly impulse buying: confirming our hypotheses, a higher pre-shopping preparation lead to lower levels of impulse buying. Results also showed that the personality variables (shopping enjoyment tendency and impulse buying tendency) influenced impulse buying through positive affect and urge to purchase. Our research did not find support for the relationship between negative affect and urge. Finally, higher levels of urge to buy impulsively lead to higher levels of impulse buyingOriginality/valueFrom the review of past and recent literature, we have not found a model that considers the influence of pre-shopping tendency on impulse buying behaviour. This paper addresses this major gap in extant literature by including pre-shopping tendency among the individual characteristics (impulse buying tendency and shopping enjoyment tendency) taken into consideration by past contributions.     

The effect of time pressure on the choice between brands that differ in quality,price, and product features

Consumers often make purchase decisions while under time pressure. This research examines the effect of time constraints on the choice of brands that differ in perceived quality, price, and product features. Specifically, when making choices under time pressure, consumers were found to be more likely to choose higher-quality brands over lower-quality brands and top-of-the-line models with enhanced product features over basic models with fewer features. Alternative explanations for these effects are explored, and practical implications are discussed.     

SME foreign market entry mode choice and foreign venture performance: The moderating effect of international experience and product adaptation

Firms’ foreign market entry mode choice attracts considerable research attention. However, the performance implications of this choice remain inconclusive, particularly in the context of small and medium-sized enterprises (SMEs). The present paper draws on the resource-based view (RBV) and develops a theoretical model specifically tailored to the context of SMEs in order to study the relationship between entry mode choice and foreign venture performance. Testing hypotheses on 133 German SMEs, we show that international experience as a resource and product adaptation as a capability improve the performance of non-equity entry modes by mitigating liabilities of smallness inherent to SMEs. We furthermore find empirical support for the joint moderating effect of international experience and product adaptation on the focal relation. Our findings contribute to the SME foreign market entry mode literature and have implications for practitioners and future research.     

改性双氰胺类环氧树脂潜伏性固化剂的研究及其应用

环氧树脂灌封胶在电子电器工业领域应用广泛.单组分环氧树脂灌封胶在使用工艺和性能方面都优于双组分灌封胶,其关键技术是开发潜伏性的固化剂.用苯胺衍生物对双氰胺进行改性,制得了一种新型潜伏性固化剂.该固化剂与环氧树脂最佳配比为25/100,在110℃可快速固化,室温下贮存期在100 d以上.     

The effects of emotion and need for cognition on consumer choice involving risk

Building upon previous research, this article proposes that the effect of mood on risk-taking is moderated by the individual’s need for cognition. The hypothesized effect of mood and the need for cognition are tested with different types of consumer choices in three studies. Consistent with the hypotheses, the results indicate that the subjects in happy mood tend to be risk-aversive while the subjects in sad mood incline to take risks. Furthermore, the mood affects risk-taking behavior more for the low-NFC subjects than for the high-NFC ones. Finally, implications of the findings and suggestions for future research are discussed.     

A simultaneous model of multiple-discrete choices of variety and quantity

In many categories, consumers purchase discrete quantities of multiple varieties. For example, when doing grocery shopping for cereals, consumers may purchase in each category three units of brand A, four of brand B, and one of brand C. These decisions are often influenced by nonlinear pricing strategies such as quantity discounts. Modeling such multiple-discrete choices is challenging, as they violate assumptions of standard choice models. In this research, the author introduces a computationally attractive choice model that simultaneously captures 1) variety, 2) discrete quantity, and 3) nonlinear pricing strategies, such as quantity discounts. The model assumes that consumers maximize variety of the choice outcome, while taking into account constraints on utilities of alternatives. Application of the proposed model to two datasets demonstrates the superior fit compared to several rival models. Counterfactual analyses demonstrate that the model is a valuable tool for assortment and pricing decisions.     

Purchasing for someone else in a b-to-b context: Joint effects of choice overload and accountability

Purpose: The purpose of this paper is to examine whether the (negative) influence of assortment size identified in the business-to-consumer (B-to-C) literature also exists in business-to-business (B-to-B) settings and whether it is contingent on buyers’ accountability for their choices. Furthermore, it is examined if and to what extent assortment presentation in the form of color-coding may reduce the negative effects on decision satisfaction caused by large assortments.

Methodology/approach: In addition to a qualitative study (i.e., Study 1) including 16 semi-structured expert interviews, we conducted two experiments with real industrial buyers to further examine the interaction effect of assortment size and accountability on decision satisfaction as well as the moderating effect of color-coding. Specifically, in Study 2, we used a 2 (assortment size: small versus large) X 2 (accountability: informal versus official) between-subjects design. A 2 × 2 ANOVA revealed an interactive effect of assortment size and accountability on decision satisfaction. Furthermore, we ran a moderated mediation analysis to test for the underlying process. Study 3 used a 2 (color-coding: yes versus no) X 2 (accountability: informal versus official) between-subjects design. A comparison of the means across the experimental cells provided support for a positive influence of color-coding when industrial buyers are informally (rather than officially) accountable.

Findings: Our experiments show that when B-to-B buyers are held officially accountable, they experience equal decision satisfaction when choosing from small and large assortments. However, when buyers are held informally accountable, they experience a higher decision satisfaction when choosing from small rather than large assortments. These effects are mediated by decision justifiability. Furthermore, we show that color-coding the assortment influences buyers’ decision satisfaction positively when they are held informally accountable and are asked to choose from a large assortment.

Research implications: Our research contributes by demonstrating that overchoice effects exist in B-to-B settings. In addition, our studies show that potential overchoice effects are contingent on the specific form of accountability that industrial buyers experience. In this respect, our findings make an important contribution to the literature on B-to-B decision making and the role of accountability in these decisions.

Practical implications: Our research also has practical implications for managers that have to make assortment decisions as an appealing and easy to understand assortment is an important means to compete in the market. Many companies offer large assortments that, at the same time, are efficient in fulfilling customer needs and therefore do not have the potential to be reduced through the elimination of certain product variants. Assortment presentation (for example through color-coding) can be the key to offering a high number of variants while making the assortment mentally convenient at the same time.

Originality/value/contribution: To the best of our knowledge, ours is the first research to provide a more fine-grained analysis of official and informal accountability in a B-to-B context and to examine the differences between these two forms of accountability in an experimental setting with real industrial buyers.     

Store format choice and relationship quality in apparel retail: A study of young and early-middle aged shoppers in New Delhi region

Shopping format choice has been an interesting and important area of research in the academic literature from long time. However, research in this area is presently at a nascent stage in India. There are a very few studies which focus on store format choice in India which includes the works of Anand and Sinha (2009), Prasad and Aryasri (2008), Sinha and Banerjee (2004) and Tripathi and Sinha (2008). The present study compares three different retail formats (Discount stores, Exclusive stores and Multi-brand outlets) based on the shopper's perception of relationship quality (RQ) of these stores using multivariate techniques. For addressing, the objective of this study a sample of 313 shoppers is used. Results suggest that “conflict due to store” and “combined overall RQ due to the store and its employees” influence the store format choice. The RQ levels among the apparel store format are highly competitive.     

Serial product evaluations online: A three-factor model of leadership,fluency and tedium during product search

In any product search process, consumers encounter multiple products. In today's online retail environment, such product encounters are increasingly serial, such that consumers review products back-to-back (e.g., through swiping in mobile apps). The present research shows that for the serial evaluation of products, the serial position matters through an interaction of a leadership bias, conceptual fluency and tedium. During a product search, evaluations follow an S-shaped pattern consisting of (1) a primacy phase of declining evaluations (caused by a leadership bias towards the first product), (2) a wear-in phase of increasing evaluations (caused by increasing conceptual fluency after a recognition of the shared attributes of the product category), and (3) a wear-out period of declining evaluations (caused by tedium). Ten empirical investigations in an e-commerce setting granularly trace these three phases, establishing conceptually related overall boundary conditions (matching vs. searching products) and moderators (conditional vs. unconditional searching, product similarity, conceptual category knowledge, product image complexity) of the S-shaped pattern of serial product evaluations.     

A spatial interaction model for deriving joint space maps of bundle compositions and market segments from pick-any/J data: An application to new product options

We propose an approach for deriving joint space maps of bundle compositions and market segments from three-way (e.g., consumers x product options/benefits/features x usage situations/scenarios/time periods) pick-any/J data. The proposed latent structure multidimensional scaling procedure simultaneously extracts market segment and product option positions in a joint space map such that the closer a product option is to a particlar segment, the higher the likelihood of its being chosen by that segment. A segment-level threshold parameter is estimated that spatially delineates the bundle of product options that are predicted to be chosen by each segment. Estimates of the probability of each consumer belonging to the derived segments are simultaneously obtained. Explicit treatment of product and consumer characteristics are allowed via optional model reparameterizations of the product option locations and segment memberships. We illustrate the use of the proposed approach using an actual commercial application involving pick-any/J data gathered by a major hi-tech firm for some 23 advanced technological options for new automobiles.     

A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring

Data mining techniques have numerous applications in credit scoring of customers in the banking field. One of the most popular data mining techniques is the classification method. Previous researches have demonstrated that using the feature selection (FS) algorithms and ensemble classifiers can improve the banks' performance in credit scoring problems. In this domain, the main issue is the simultaneous and the hybrid utilization of several FS and ensemble learning classification algorithms with respect to their parameters setting, in order to achieve a higher performance in the proposed model. As a result, the present paper has developed a hybrid data mining model of feature selection and ensemble learning classification algorithms on the basis of three stages. The first stage, as expected, deals with the data gathering and pre-processing. In the second stage, four FS algorithms are employed, including principal component analysis (PCA), genetic algorithm (GA), information gain ratio, and relief attribute evaluation function. In here, parameters setting of FS methods is based on the classification accuracy resulted from the implementation of the support vector machine (SVM) classification algorithm. After choosing the appropriate model for each selected feature, they are applied to the base and ensemble classification algorithms. In this stage, the best FS algorithm with its parameters setting is indicated for the modeling stage of the proposed model. In the third stage, the classification algorithms are employed for the dataset prepared from each FS algorithm. The results exhibited that in the second stage, PCA algorithm is the best FS algorithm. In the third stage, the classification results showed that the artificial neural network (ANN) adaptive boosting (AdaBoost) method has higher classification accuracy. Ultimately, the paper verified and proposed the hybrid model as an operative and strong model for performing credit scoring.     

收视率调查状况与中国收视率发展模式的探讨——兼谈数据垄断

近几年来,收视率数据在我国电视行业中扮演起了越来越重要的角色,成为业内外人士共同关注的热点话题。2009年年初,曾在中国收视率市场上运作了十余年的AGB Nielsen退出中国市场,其直接后果是让在中国市场上本已占有了80％以上份额的CSM媒介研究某种意义上垄断了中国的收视率调查市场。垄断市场结构的形成,以及国际广告公司WPP对CSM的控股,引发了人们对数据客观性和公正性的关注。本文通过回溯历史．归纳全球收视率调查的商业模式,认为要推动中国收视率调查行业的健康发展,关键问题不在于关注垄断或者外资参股的问题,而在于对收视率调查业务的规范和监督问题．一个由行业各万共同参与和运作的收视平调查监督机制,正是未来中国收视半调查行业健康发展的必须。     

Using Information as a Basis for Segmentation and Relationship Marketing: A Longitudinal Case Study of a Leading Financial Services Firm

An important concern for service businesses is how to develop an appropriate segmentation and relationship marketing strategy that is tied to the value contribution of the customer base. This article presents a case study of the relationship marketing strategy for a division of a leading, worldwide financial services provider. The case firm segments customers into three tiers, using a framework similar to the one established by Berry and Parasuraman. Potential revenue from the customer is the primary segmentation variable used to assign customers to one of the three tiers, while the customer service response is tailored for each tier based upon customer information capabilities and needs. Although information is normally thought of as a supplemental service, rather than a core service, this case study shows how information is central to providing effective customer service and is a key to relationship marketing. The study also demonstrates how social and structural bonds can be used to refocus a customer's thinking from a cost perspective to a value perspective.     

A hierarchical model approach for identifying the trait antecedents of general gambling propensity and of four gambling-related genres

In two studies, we employed a hierarchical model of personality to examine the trait antecedents of gambling. The results revealed that a set of more abstract traits were predictive of a general gambling propensity, including materialism, body resource needs (negative), competitiveness, impulsiveness, sports fanmanship, superstition, and financial conservatism (negative). In Study 2, we controlled for the general gambling propensity and investigated the trait predictors of four gambling-related genres: online, lottery, sports gambling, and marketing sweepstakes/contests. We found that general gambling propensity predicted each genre. In addition, divergent patterns of more basic traits were predictive of the different gambling forms.     

A model of buyer regret: Selected prepurchase and postpurchase antecedents with consequences for the brand and the channel

This research examines how two prepurchase stages of the buyer decision process–information search and alternative evaluation–and two postpurchase stages–evaluation of product and service attributes–influence buyer regret. The study extends prior consequences of regret to include purchase intentions toward both brand and the channel. Tested in a field sample of luxury automobile purchasers, results show that higher information search and alternative evaluation lead to more buyer regret; lower evaluations of service (but not product) attributes lead to more regret; and regret's consequences include reduced intentions to repurchase either the brand or from the dealership. Buyers who switch brands experience more regret than buyers who did not switch brands.