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Even though service marketers are interested in influencing customer choice at the service provider level (i.e. the service brand level), the decision to patronize a particular service firm seldom occurs until after the customer decides to use a service provider in the first place. Ultimately, this initial “make‐or‐buy” purchase decision – the decision to use a service category – restrains customer decisions at the service provider (brand) level. To enhance our understanding of customers’ service category decisions, a double cross‐validation approach was employed to investigate the applicability of a service category choice model which we adapted from Howard’s work on consumer decision making. Our model, which was tested with two different service categories, was supported.

The purpose of this paper is to examine the extent of use of the price‐quality cue in financial services, and to uncover some of its drivers. The drives studied are: advertising exposure, product complexity, and consumer price knowledge. The use of price as an indicator of quality has been a well‐documented phenomenon in consumer goods markets. However, the existence of this relationship has not been tested in services, and in particular in financial services markets.

A consumer survey of over 200 individuals contacted through intercept interviews was conducted. The use of the price‐quality cue and its drivers were measured using multi‐item scales, for six financial services categories: checking accounts, financial advisory services, automobile insurance, home insurance, life insurance, and tax accounting.

Significant variations in the use of price as an indicator of quality across financial services categories are identified. Furthermore, it is found that both consumer price knowledge and advertising exposure increase the use of the price‐quality cue, while product complexity was found to have no significant impact on price‐quality cue utilization for financial services.

Future research could expand the array of variables which drive consumers' use of the price‐quality cue. In addition, a wider range of financial services categories could be studied.

Knowing the extent by which consumers depend on the price‐quality cue in their decisions is critical to optimal positioning of a financial brand. This paper provides specific managerial recommendations on how to approach the pricing and marketing of each of the six financial services categories studied. In addition public policymakers may find the findings of interest due to quality perception biases that may result from financial services providers' pricing tactics

While previous research studies in price‐quality cue utilization have primarily focused on manufactured goods, this paper is the only study that has examined the dynamics of price‐quality cue utilization by consumers in financial services. This is an important inquiry due to the large volume of consumer expenditures in financial services categories, and the significant impact that these categories have on the financial stability and well‐being of the public.

This study aims to explore the gap between information needs and services for autism in China.

The gap is revealed by investigating the status quo of autism information needs and services. The authors extracted categories and subcategories of information needs through content analysis of academic documents and then supplemented the subcategories through text mining of an online forum. Meanwhile, categories and subcategories of information services were extracted through content analysis of autism websites. Finally, the authors matched the two to explore the gap and designed a quantitative index to measure it.

A total of eight and ten categories of information needs and services are extracted, respectively. In total, six categories of information needs can be partly matched, but nearly half of the subcategories failed. Huge gaps in economic support, sociality and policy mechanisms categories are observed through the quantitative index and medium gaps in social resource services and employment categories while almost no gaps in psychological/emotional counseling, rehabilitation skills training and professional knowledge/information categories.

This study takes a deep insight into the gap between autism information needs and services in China, providing evidences and suggestions for information providers to improve their services. Academic documents and online forum data are adopted to avoid the impact of stigmatization, which provides a multi-source data analysis approach for the information needs of special groups.

The present research responds to researchers’ calls for more research of consumer animosity on potential boundary conditions (e.g. product categories) and marketing strategies that may mitigate such negative impacts on marketers’ product and/or brand performance, with a special focus on the soft service sector. This paper aims to address the unique characteristics of service internationalization, i.e. cultural embeddedness, hybridized country origins and high consumption visibility, by proposing a social identity signaling model to explain consumer animosity effects in the soft service sector.

Two surveys (Pretest with 240 participants and Study 1 with 351 participants) and one experiment (Study 2 with 731 participants) were conducted to empirically test our hypotheses in the Japanese-Chinese relationship context.

The stronger the national/cultural symbolism and social expressiveness, the stronger the consumer avoidance for the service category. Then the consumer culture positioning strategy that can mitigate an offending country’s cultural symbolism can reduce consumer avoidance.

This research introduces two factors that could affect the negative social identity signaling capacity of service categories in the animosity context: the national/cultural symbolism reflecting an offending country and the social expressiveness communicating social identity. In line with the social identity signaling perspective, the present research specifically uses consumer avoidance as the dependent variable to capture the notion that consumers avoid consuming services because they wish to avoid being associated with an offending country that may threaten their in-group social identities.

In an increasingly budget-constrained environment, the Department of Defense (DoD) must maximize the value of fiscal resources obligated on service contracts. Over half of DoD procurement spending between 2008 and 2012 was obligated on service contracts (GAO, 2013). Many services are common across the enterprise and recurring in nature; however, they are treated as unique and procured individually at the base level, year after year, rather than collectively in accordance with a larger, enterprise-wide category management strategy. The purpose of this paper is to focus on creating a methodology that treats common, recurring service requirements in a more strategic manner.

The authors develop a standardized, repeatable methodology that uses relevant cost drivers to analyze service requirements to identify more efficient procurement strategies. Furthermore, they create a clustering continuum to organize services based on proximity between the customer-supplier bases. This paper uses a commercial business mapping software to analyze cost driver data, produce visualizations and illustrate strategic opportunities for category management initiatives. DoD requirements for Integrated Solid Waste Management (ISWM) within the Los Angeles area are evaluated using the software and methodology to demonstrate a model for practical application.

The authors find that commercial software can be used to cluster requiring activities needing common, recurring services. This standardized, repeatable method can be applied to any category of services with any number of cost drivers. By identifying optimal requiring activity clusters, procurement agencies can more effectively implement category management strategies for service requirements.

The initial approach of this paper was to develop a macro-level, one-size-fits-all model to centralize procurement. The authors found this approach inadequate as they tried to group service requirements of wildly differing characteristics. They experienced other significant limiting factors related to data availability and data collection.

Clustering common and recurring DoD service requirements would result in standardized levels of service at all installations. The demand savings from clustering would promote the implementation of best practices for that service requirement across the DoD, which would eliminate non-value-added activities currently performed at some installations, or gold-plating of requirements, which is also likely occurring.

This paper is the first to use an analytics-based methodology to cluster common, recurring public services. It is the first method that offers a standardized, repeatable approach to implementing category management of service requirements to achieve cost savings.

When decision makers encounter new assurance services that can be customized for individual clients, they must include them in their pre-existing categorization of assurance, a cognitive task known as postclassification. This paper draws upon three literatures (classification research in accounting, theory of assurance, and cognitive psychology) in order to suggest how this task might be modeled and studied empirically, using the example of SysTrust™. The role of a necessary condition for successful postclassification called the category use effect (Ross, 2000), in which decision makers are reminded of pre-existing categories when they learn to use new categories, is explained.

The advancements of mobile technologies and devices have greatly facilitated the extension of online services from web to mobile environments. Drawing on the categorization theory, the purpose of this paper is to explore the impact of perceived entitativity on users’ web-mobile service extension behavior. The research model considers how perceived entitativity serves as a category cue to link the category- and piecemeal-based processing and shape users’ adoption of extended mobile services.

An online survey (n=552) was conducted to empirically test the model. The data were analyzed by structural equation modeling approach.

The results offer two major findings. First, performance expectancy, perceived controllability and subjective norm are important antecedents of users’ usage intention. Second, perceived entitativity has three types of effects on usage intention: it exerts a direct and positive influence on usage intention; it indirectly facilitates usage intention through increasing PE and perceived controllability; and it moderates the relationship between subjective norm and usage intention.

This study contributes to the literature by taking into account the interplay of category- and piecemeal-based processing to understand consumers’ web-mobile service extension behavior.

In spite of regular occurrence of product returns, research into determinants of returns services in retail businesses is still limited. To fill the gap, the purpose of this paper is to investigate critical determinants of customer to business type product returns services in the retail industry.

The authors develop a framework of product returns services that consists of three major service categories and 16 returns service determinants. The criticality of the determinants of product returns management are assessed employing the analytic hierarchy process (AHP) based multi-criteria decision-making approach. Under AHP set up the authors interview retail operations managers of major retail firms in Australia to identify critical determinants of product returns services.

Results indicate that the most important returns services dimensions are the way in which returns services are handled through interaction, and the outcome of service delivery. The top five critical service determinants of product returns are related to: communication support service for customer, money back for any type of returns, customer support access, user-friendly interaction, and product replacement.

The findings of the study can be considered by senior managers of retail firms as a reference guide for designing efficient and effective returns service systems and developing strategies for competitive advantage through product returns, namely, customer retention.

Inner city centers not only provide opportunities for shopping, dining, and entertainment, but with their lively atmosphere and other vital attributes, also create attractive destinations for residents and tourists alike. However, inner city retailing, potentially the most important reason to visit an inner city, is facing serious competition from e-commerce and out-of-town shopping malls. Dying inner city centers have become a severe issue in recent years, worldwide. To counteract this devastating trend and ensure the vitality and viability of inner city centers, stakeholders from the public and private sectors regularly join their forces in initiatives to strengthen urban structures. However, academic insights into the contribution of retailing on perceived city attractiveness remain sparse. Relying on an extensive data set that combines survey and observational data, the authors are able to quantify a variety of inner city characteristics, ranging from its store and service provider portfolio to its ambience and accessibility, and measure their association with its perceived attractiveness. They show that a city's portfolio of retail stores is not only related to people's perceptions of the city's overall attractiveness but also perceptions of its ambience. However, not all retail categories contribute the same way; while the presence of clothing stores or booksellers is strongly associated with cities' ambience as well as attractiveness, other retail categories such as optometrists or electronics stores are negatively associated with consumers' inner city perceptions. Importantly, these relationships also depend on the size of the focal city. Based on their results, the authors provide important managerial and societal implications on how to leverage the local retailing environment to improve inner city attractiveness. For example, the results may inform (local) governments on which sectors to subsidize in order to attract those store and service provider categories that benefit inner city attractiveness.

This paper aims to examine the impact of the customer’s previous transaction behaviour (represented by loyalty and general cross-buying) on his/her choice of specific services offered by the same financial services provider.

This study uses a set of logistic regression models by incorporating panel data from a large bank. The database consists of 2,187 randomly selected customers, and it includes features related to individual loyalty and cross-buying behaviours, as well as demographic indicators, i.e. individual measures related to each customer and each service.

From the results obtained, a large variation in customer choice behaviour with regard to the studied banking services was observed. These results reveal which customer transactional behaviours drive cross-category financial services purchases.

In academic literature, little progress has been made in the study of individual and behavioural factors that affect customer choices by service category, especially within the banking sector. By understanding customer choices, the company will be able to meet customer needs in a more appropriate way, thereby increasing its competitiveness. Hence, the results from this study have both managerial and research implications, improving the strategy formulation of financial services companies.