The relationship between waiting in a service queue and evaluations of service quality: A field theory perspective

Both empirical evidence and logic suggest that there is a strong negative correlation between waiting time and a customer's evaluation of the quality of a service. The evaluation of service, in turn, is related strongly to customers' loyalty and other important outcomes. A conceptual model, based on field theory, is developed. The model integrates key variables derived from recent studies of consumer waiting behavior. Also incorporated are relevant constructs from the extant services literature, including the roles of the disconfirmation of consumers' wait time expectations, prior service encounters, and the quality of the customer's encounter with the contact employee. Finally, data from actual consumers in a natural queueing context are used to test the theoretical framework. Analysis of the data, with the use of multiple regression, demonstrates a strong pattern of support for the field-theory-based hypotheses, confirming the important role of queue wait management in customer evaluations of service quality. © 1998 John Wiley & Sons, Inc.     

Social distancing and store choice in times of a pandemic

Public health officials enforced several measures to contain the COVID-19 pandemic that affected grocery stores, such as limits on store capacities and enforcement of masks and physical distancing among customers. Nevertheless, these measures can provoke queues, which could drive customers away from stores. In this study, we investigate how customers trade off between social distancing measures and increased waiting times during the peak of the COVID-19 pandemic. Our data comes from an online survey applied in New York City in May 2020. This survey included a set of discrete choice experiments framed in virtual stores, as well as a set of psychometric indicators regarding the pandemic. With this data, we estimated a latent class conditional logit model where assignment to classes is correlated with COVID-19 latent variables. We identified three latent classes with preference structures that valued social distancing to varying degrees. In spite of this heterogeneity in preferences, we found that customers were willing to wait longer to access stores with better social distancing measures. This result suggests that stores could increase, rather than decrease, their sales if they enforce public health measures at the expense of longer waiting times.     

Revisiting the impact of institutional quality on post-GFC bank risk-taking: Evidence from emerging countries

This is the first attempt to address the impact of institutional quality on post-GFC bank risk-taking behavior. This study is conducted on 730 banks from 19 emerging countries covering the period 2011–2016. We used six indicators of good governance as a proxy for institutional quality. Both static panel and Dynamic GMM estimation are used to identify the impact of these variables on bank risk-taking; measured by Z-score. We evidenced that increasing government effectiveness, controlling corruption, and improving agents' confidence and adherence to the rule of law reduce banks' risk exposure and improve banks' stability. Besides supporting the Z-score model, the robustness test using σ(NIM) also provides evidence of the impact of regulatory quality on reducing bank risk. Surprisingly, both models tend to indicate that improving voice and accountability increase bank risk-taking in emerging countries. Furthermore, our study provides an interesting reconciliation to the major debate on the impact of size on bank risk.     

Psychological comfort in service relationships: A mixed-method approach

Psychological comfort reflects the customer's peace of mind and a sense of ease during a service encounter that helps in maintaining strong relationships. However, the role of psychological comfort (PC) in retail service relationships is not fully explored. To fill this research gap, this study presents a unique conceptual model grounded in the stimulus organism response (S–O-R) framework to empirically explore the stimulating effect of customer experience on psychological comfort (PC), which influences relationships quality and customer retention as the response. To evaluate the model a quantitative survey was administered on 432 bank customers followed by in depth interviews of 10 bank employees. It was found that customer experience stimulates customer's PC that leads to relationship quality and retention as the response. It was also found that relationship duration influences the customer experience-PC relationship. The theoretical and managerial implications of the findings are discussed.     

Service quality dimensions and superior customer perceived value in retail banks: An empirical study on Mexican consumers

This study concerns the service quality topic in the retail bank sector. A sample of 209 retail bank clients was taken, measuring the performance of service quality attributes of their principle retail bank. Behavioral performance variables such as satisfaction, loyalty and customer perceived value were also measured. In a factor analyses the attributes were separated into three factors. These three independent factors explain a considerable amount of variability of a satisfaction–loyalty factor. On the other hand, they could not explain the superior perceived value; and no differences between the service quality performances of the bank brands were found. In conclusion, regardless of the degree of satisfaction and loyalty, the customer is not willing to pay more for banking services at his regular bank than he would at other brands. This implies that superior perceived value is not being achieved via service quality, which suggests a lack of differentiation between brands in this sector.     

International heterogeneity in the associations of new business models and broadband Internet with music revenue and piracy

Broadband Internet has fundamentally changed business models in many industries. In the music industry, for instance, old business models were challenged by illegal competitors, and broadband Internet has enabled value creation through new business models. The changes that established business models experienced in the wake of broadband Internet, however, differed vastly across national markets, and these differences are not well understood. We build a conceptual framework and study the extent to which differences in economic and cultural factors are associated with different market outcomes in the wake of the proliferation of broadband Internet. Thus, we compile two unique data sets from the music industry, comprising (1) revenue data for 36 countries and 22 years and (2) piracy data for 47 countries and >2 years. We use a Bayesian multilevel model to explore between-country heterogeneity in the associations between these variables and broadband Internet adoption and business model innovations. Our results show that the negative association between broadband Internet penetration and music revenue is weaker in high-income countries, where income restrictions are less likely to drive demand towards illegitimate piracy services. In terms of cultural factors, we find that a market's response to the introduction of broadband Internet is less negative in countries scoring high on Hofstede's individualism and uncertainty avoidance dimensions. Furthermore, we find that overall revenues only recover after the latest generation of streaming services (e.g., Spotify) has been introduced, and the adoption of these services is associated with lower levels of online music piracy.     

Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity

We propose an efficient individually adapted sequential Bayesian approach for constructing conjoint-choice experiments, which uses Bayesian updating, a Bayesian analysis, and a Bayesian design criterion to generate a conjoint-choice design for each individual respondent based on the previous answers of that particular respondent. The proposed design approach is compared with three non-adaptive design approaches, two aggregate-customization approaches (based on the conditional logit model and on a mixed logit model), and the (nearly) orthogonal design approach, under various degrees of response accuracy and consumer heterogeneity. A simulation study shows that the individually adapted sequential Bayesian conjoint-choice designs perform better than the benchmark approaches in all scenarios we investigated in terms of the efficient estimation of individual-level part-worths and the prediction of individual choices. In the presence of high consumer heterogeneity, the improvements are impressive. The new method also performs well when the response accuracy is low, in contrast with the recently proposed adaptive polyhedral approach. Furthermore, the new methodology yields precise population-level parameter estimates, even though the design criterion focuses on the individual-level parameters.     

A dimensional versus attribute approach for disaggregate choice models

A fundamental issue facing choice modelers is to make a decision on what kind of independent variables to include in a choice model. With survey data, the two immediate options are: actual product attributes or underlying latent dimensions (factor scores). Using behavioral logic we argue that heterogeneity of consumer perceptions of variables and their saliences should be the key items moderating such a decision. We present empirical evidence to support our theory that dimensional (factor score) based models do better in terms of predictions than attribute based models in more heterogeneous populations. Empirical analysis shows that in segments (where consumer heterogeneity is lower) the predictive performance of attribute based models improves relative to the factor score model and may actually have a better predictive fit when the respondents are relatively homogeneous with respect to attribute ratings and saliences.     

Investigating the impact of service line formats on satisfaction with waiting

In this paper, we examine whether the format of service lines affects customers’ satisfaction with their queuing experience. Using a goal-theoretic approach, and data from a series of experimental studies, we show that the duration of the wait moderates the psychological tradeoff between the initial queue length and its rate of movement, such that customers prefer a single line format for shorter waits but a multiple line format for longer waits. We also show that satisfaction declines with an increase in the number of stages in service lines. This adverse effect of multi-staging can be mitigated by using information devices as well as orienting customers away from local, stage-specific, sub-goals towards the overall goal of receiving service and exiting the system. We synthesize these findings about the psychophysics of queuing to generalize a model of satisfaction with waiting that accounts for the effect of service line formats and can represent customers’ utility functions in models of queuing systems.     

Long‐Term Oriented Marketing Relationships and Ethical Conduct in Outsourcing Sector

The study evaluates the positive effect of long‐term oriented marketing relationship on ethical conduct from the perspective of the service provider (i.e., the agent‐firm), by integrating the relevant literature from relationship marketing, ethics, and long‐term orientation domains. The paper proposes that service providers that build relationship quality with their clients will display increased ethical conduct toward them. Specifically, the study examines the positive influence of the dimensions of relationship quality (that are relevant to the offshoring services context) that the service provider firm's employees undertake and their impact on ethical conduct. Overall, the results indicate that the commitment‐only full mediation model of relationship marketing variables on ethical conduct is a better representation than both direct‐effects model and other competing mediating models examined in this study. Fundamentally, it means that customer service officers should incorporate long‐term orientation and commitment in their principal–agent relationships that will provide the impetus for undertaking ethical behavior. The article concludes with a discussion and implications of the findings.     

Visualization service investment strategies for a self-operated fresh agricultural product e-tailer

Motivated by the fact that numerous fresh agricultural product e-tailers utilize the visualization technology to improve service quality, this paper examines visualization service investment strategies for a fresh agricultural product e-tailer. A supply chain comprised of one manufacturer and one self-operated e-tailer is constructed. We first investigate two service investment strategies in the game theory model: the manufacturer investment and the e-tailer investment. Our analysis reveals that there are two investment cases in the supply chain: one member intends to the service investment (a “win-win” situation) and neither is willing to offer the service (a “lose-lose” dilemma). Then we extend the theory model. The impacts of consumer preference heterogeneity, demand uncertainty and consumer preference for the product quality difference on the investment strategies are explored by the method of multi-agent modelling. We find that: (i) when consumer preference heterogeneity is small, the e-tailer should invest in the service; (ii) if consumer preference or demand uncertainty is moderate, it is difficult to reach an agreement between two players. Further, the government subsidy factor is considered. The issue of how the government subsidy affects service investment strategies is discussed. In fact, it is not necessary to provide a subsidy all the time. Only when the free-riding behavior happens, the government should grant a moderate amount of subsidy to coordinate the supply chain members. An excessive subsidy hurts two sides’ benefits instead.     

Database marketing modelling for financial services using hazard rate models

This paper investigates the effectiveness of using direct mail message as an element in the communication mix of a financial retail company. The focus in this study will be on interpurchase time, i.e. duration times between the last purchase of any type of financial service by a customer at that bank and the purchasing of a personal loan.

Our findings indicate that (1) direct mail message have a very significant effect on shortening the interpurchase time, (2) the combined effect of several direct mail messages exhibits diminishing returns to scale, (3) incorporating time-varying variables in the model significantly improves model results, (4) Ownership of certain other services has a significant impact on the probability of purchase of the personal loan, and (5) conditional probability of purchase is found to increase with time elapsed since last purchase. The latter finding shows that the receny effect, known to be very important in most RRM models, may to dependent on the product category.     

Determinants of mail‐survey response: Survey design factors and respondent factors

With the use of a hierarchy‐of‐effects model, the decision to complete a mail survey was modeled as a process moving through several stages. A set of variables thought to influence the survey‐completion decision process was examined. These variables include survey design factors, which were manipulated by the researchers, and respondent factors, such as attitudinal and personal constructs. Based on the research findings, the hierarchy‐of‐effects model is an appropriate way to model the mail‐survey‐response process. The data indicate that among the survey design factors included in the study, the monetary incentive had the most effect on the decision process, with a pervasive impact throughout the process. Importantly, respondent factors such as attitude toward research were of critical importance in moving respondents through the survey‐response process. Research into the response‐rate phenomenon is likely to benefit by considering how both survey design and respondent factors affect specific stages of the response process and enhance participation in surveys. © 2002 Wiley Periodicals, Inc.     

Diversity of innovation patterns in services

Recently, literature on innovation in service activities has increased significantly. Much effort has been concentrated on understanding the importance of innovation for these activities, and on stressing innovative differences relative to the manufacturing innovation model. However, a deeper understanding is needed in three main areas: the degree of innovation heterogeneity among different service activities, the factors that explain this heterogeneity, and the primary drivers of the innovation process for each activity. Using results from the Third Community Innovation Survey, this paper aims to identify the extent to which there are similarities and differences in the main innovation attributes in four important service sub-sectors. After describing the characteristics of innovation and the behavior of variables in the sub-sectors, a typology of innovation patterns is identified.     

Did foreign exchange holding influence growth performance during the global financial crisis?

In a context of increased foreign exchange reserves holding from emerging and developing countries, this paper investigates the diminishing return of reserves holding assumption over the most severe phase of the global financial crisis (2008Q1–2010Q4). Relying on a Panel Smooth Transition Regression model, we highlight the differential effect of the accumulation of foreign exchange reserves for a set of financial vulnerabilities variables. In a specific manner, although reserves accumulation is effective above a critical threshold to cope with vulnerabilities related to the financial channel, we show that it becomes less effective beyond a certain threshold for domestic bank vulnerabilities. Our results are robust to alternative specifications.     

物流配送网络节点服务客户饱和度模型构建

对于第三方物流企业而言,物流服务的质量与其构建的物流服务网络密不可分。由于配送中心服务质量的信息会在客户网络之间进行传播,良好的服务口碑能够提高客户对企业提供的物流配送服务的认同度,从而吸引更多客户选择该企业。但当整个网络中的客户达到一定规模时,物流企业需要扩大自己的物流实体网络,即需要新建配送中心以满足客户要求。物流配送网络配送节点服务客户的饱和度受到服务质量传播率、网络规模及网络类型的影响,随着传播率和网络节点平均度数的增加,配送节点服务客户的饱和度也会增加。     

The clock is ticking—Or is it? Customer satisfaction response to waiting shorter vs. longer than expected during a service encounter

Customer waits are commonplace in retail settings. To develop efficient wait management strategies, retailers need insights into how customers respond to waiting during service encounters. An intuitive insight supported by extensive research is that a longer wait duration decreases customer satisfaction. However, the same wait duration might have different effects on customers depending on whether it is shorter or longer than what customers expected. To address this question, we draw upon the research on time value and predict asymmetry in the customer satisfaction response to waiting shorter versus longer than expected: Though the clock is often said to be ticking, waiting longer than expected leads to a minor decrease in satisfaction, whereas waiting shorter than expected substantially increases satisfaction. We provide evidence for this asymmetric effect across three studies and identify two boundary conditions: if the source of the expectation is external (e.g., wait time estimate provided by the retailer) or if the wait is much longer than expected. Overall, our research encourages retailers to put the customer response to waiting into perspective: Customers will tolerate waiting longer than expected, up to a certain point.     

The Aggregate Behavior of Banks: A Proposal for Prudential Supervision

This study seeks to investigate a macroeconomic approach that could help bank regulators and supervisors perform their task of ensuring financial stability. To achieve this, an attempt is made to explain the behavior of banks by analyzing aggregate time series of credit lending and deposit-taking, which are the variables involved in financial intermediation. This article's main contribution is to present evidence of banks’ behavior in their role as financial intermediaries, in terms of the performance of the variables that represent their credit-granting or deposit-taking decisions. For this purpose the study used a vector autoregressive model to construct impulse response functions and the Granger test. The results demonstrate the existence of bilateral causality between credit lending and deposit--taking, suggesting that banks actively manage the financial intermediation process. In addition, the results show that shocks to deposits destabilize the credit lending process, and credit supply shocks, in turn, destabilize deposit-taking. The latter result is important for understanding how financial instability can arise, and is thus relevant for the bank regulator.     

Linking trust to use intention for technology‐enabled bank channels: The role of trusting intentions

The present research is an attempt to better understand the role of trust in the adoption of technology‐based service channels, namely Internet and phone banking. The study conceptualizes and measures trust, distinguishing the cognitive and affective component of trust (the trusting beliefs), the behavioral component of trust (trusting intentions), and the purchase behavior (intention to use), suggesting a mediating role of trusting intentions. Then it tests a model that combines the effect of trusting beliefs and trusting intentions together with the Technology Acceptance Model variables, privacy, and security as well as individual characteristics. Results from 762 retail bank customers revealed a strong mediating role of trusting intention on the intention to use and similar patterns of relationship for the two technology‐based bank channels. Several implications for managers and further research are discussed. © 2010 Wiley Periodicals, Inc.