A LONGITUDINAL STUDY OF THE EFFECT OF A SERVICE GUARANTEE ON SERVICE QUALITY

This paper develops a theoretical framework that relates a service guarantee to service quality. The framework hypothesizes that a service guarantee can positively affect service quality through its positive effect on both learning through service failure and employee motivation and vision. A longitudinal, empirical study was conducted to test these hypotheses. Surprisingly, the service guarantee was not found to have a direct effect on learning through service failure. However, the service guarantee clearly had a positive effect on service quality primarily through its positive effect on employee motivation and vision. The research strongly supports using a service guarantee to improve service quality.     

Managing Internet Product Returns: A Focus on Effective Service Operations

Product returns present one of the biggest operational challenges in the world of Internet retailing due to the sheer volume and cost of processing returns. But returns also represent an often‐missed opportunity to manage customer relationships and build customer loyalty to the retailer. Based upon data from a survey of 464 customers of five different Internet retailers, this article explores how firms' returns management systems affect loyalty intentions. We draw upon extant literature in the fields of Internet retailing, service quality, supply chain management, and customer satisfaction/loyalty to develop a model and a set of hypotheses relating ten latent variables in the service returns offering area. Our resulting structural equation model provides evidence of the impact of the returns management system upon customer loyalty intentions. The model also identifies effects on loyalty intentions arising from customers' satisfaction with, and perceptions of, the value of the returns service offered. These findings will help inform managers' choices regarding investment in the returns management system as an element of service quality improvement and a potential means of improved profitability. In addition, this study's empirical exploration and testing of a returns management model in the Internet retailing environment is a contribution to the currently underrepresented body of academic literature linking marketing and supply chain management in the context of end consumers.     

A MARKET UTILITY‐BASED MODEL FOR CAPACITY SCHEDULING IN MASS SERVICES

Only a small set of employee scheduling articles have considered an objective of profit or contribution maximization, as opposed to the traditional objective of cost (including opportunity costs) minimization. In this article, we present one such formulation that is a market utility‐based model for planning and scheduling in mass services (MUMS). MUMS is a holistic approach to market‐based service capacity scheduling. The MUMS framework provides the structure for modeling the consequences of aligning competitive priorities and service attributes with an element of the firm's service infrastructure. We developed a new linear programming formulation for the shift‐scheduling problem that uses market share information generated by customer preferences for service attributes. The shift‐scheduling formulation within the framework of MUMS provides a business‐level model that predicts the economic impact of the employee schedule. We illustrated the shift‐scheduling model with empirical data, and then compared its results with models using service standard and productivity standard approaches. The result of the empirical analysis provides further justification for the development of the market‐based approach. Last, we discuss implications of this methodology for future research.     

Impact of Customer‐based Corporate Reputation on Non‐monetary and Monetary Outcomes: The Roles of Commitment and Service Context Risk

A firm's reputation is an important intangible asset, because of its potential for value creation. The authors explore non‐monetary and monetary outcomes of customer‐based corporate reputation (CBR) and hypothesize that commitment serves as a partial mediator, while service context risk is a moderator, of these relationships. Using a large sample of service customers who evaluated the reputation of service firms in four service categories, the results show that (1) commitment partially mediates the relationship between CBR and most of the outcome variables, and (2) service provider selection risk moderates these relationships, such that reputation has a stronger effect on several non‐monetary outcomes for higher‐risk services and commitment has a stronger effect for lower‐risk services, consistent with a dual‐processing framework explanation. The authors discuss the theoretical and managerial implications.     

EMPLOYEE DEVELOPMENT: AN EXAMINATION OF SERVICE STRATEGY IN A HIGH‐CONTACT SERVICE ENVIRONMENT

A critical component of service strategy in high‐contact environments is service encounter management. Effective service encounters are a result of the quality of employee development, including systems for work and job design, training and development, and attention to employee well being. Results of empirical analysis indicate that service strategies reflecting the dimensions of employee development drive employee outcomes such as productivity and satisfaction. Employee outcomes are significantly associated with customer satisfaction, but only some linkages to financial performance are significant. This study illustrates the importance of employee development in service strategy design for managing service encounters in high contact service environments.     

Optimizing Service Attributes: The Seller's Utility Problem*

Service designers predict market share and sales for their new designs by estimating consumer utilities. The service's technical features (for example, overnight parcel delivery), its price, and the nature of consumer interactions with the service delivery system influence those utilities. Price and the service's technical features are usually quite objective and readily ascertained by the consumer. However, consumer perceptions about their interactions with the service delivery system are usually far more subjective. Furthermore, service designers can only hope to influence those perceptions indirectly through their decisions about nonlinear processes such as employee recruiting, training, and scheduling policies. Like the service's technical features, these process choices affect quality perceptions, market share, revenues, costs, and profits. We propose a heuristic for the NP‐hard service design problem that integrates realistic service delivery cost models with conjoint analysis. The resulting seller's utility function links expected profits to the intensity of a service's influential attributes and also reveals an ideal setting or level for each service attribute. In tests with simulated service design problems, our proposed configurations compare quite favorably with the designs suggested by other normative service design heuristics.     

A Service Quality Process Map for Credit Card Processing

Evaluating marketing (external) and operations (internal) service quality performance in most organizations is a data-oriented management task that involves many variables for many different types of services. These two diverse sets of service quality information seldom “match up well” because the marketing and operations functions define and evaluate service quality “their way.” Management's interpretation of what the data “mean” often contributes to extra meetings, unnecessary disagreements within and between functional areas, and poor decision making. This situation can affect the quality and timing of decisions, and ultimately, the organization's profitability and market share. This paper quantitatively relates the customer's evaluation (perception) of service quality directly to the activities and performance criteria of the service delivery process for a credit card processing center. Basic statistical analyses and a recursive path analysis model define the relationships between marketing- and operations-based service quality information. The idea of a “service quality process map” is introduced. A service quality process map relates a flowchart of the service delivery process to the customer's perception of service using the power of multivariate data analysis. Management insights gained from an analysis of marketing (external) and operations (internal) measures of service quality performance can be used to allocate resources wisely. The objective is to gain the most improvement in the customer's perception of service for the least cost. Service quality with this type of evaluation capability can be used to gain competitive advantage in the marketplace.     

Does Religious Diversity in Health Team Composition Affect Efficiency? Evidence from Dubai

Team cultural diversity, the degree to which working team members differ in culture‐related factors, may affect healthcare teams’ outcomes. This paper focuses on one particular source of cultural diversity, namely religion, and examines its relation to the production efficiency of hospital wards. Building on the categorization‐elaboration model of organizational diversity, the authors test an empirical model positing that team religious diversity has non‐linear effects on efficiency, and considering the role of moderating variables of the relation diversity–efficiency. Empirically, the authors adopt a two‐step approach, whereby the first step applies data envelopment analysis to estimate efficiency scores for each team, and the second investigates the effect of diversity and of moderating variables. The model is tested on a sample of hospital wards from three large hospitals in Dubai. The results suggest an inverse U‐shaped relation between religious diversity and the wards’ efficiency. Evidence is provided that the relation is moderated by task complexity, task conflict, team leader tenure and diversity in nationality. This study advances research on the management of hospital team diversity by emphasizing the complexity of diversity effects and the importance of contextual factors.     

Assessing Markups,Service Quality,and Product Attributes in Music CDs' Internet Retailing

We investigate trade‐offs among markups, service quality, and product attributes across customer, Internet retailer, and wholesaler echelons. Research has documented the reality of retail price dispersion, but little is known about how retail markups, in particular, are related to service quality and product attributes. For example, do Internet retailers deliver superior service in return for high markups? Do product characteristics affect the relationship between service and markups for retailers? To examine these issues, we first developed a model of Internet retail profitability that separates revenues and costs related to sales from other profit sources. This framework allowed us to position our work alongside the extant literature about Internet retailing. Moreover, it led us to synthesize service quality dimensions found in Internet retailing studies. We subsequently developed a critical‐event study based on the profit model and the synthesis of service quality dimensions to delineate service aspects that retailers should emphasize to address buyers' utility. Finally, we collected data from Internet purchases across retailers to isolate markup‐service quality trade‐offs along our delineated service aspects. We find that high markups are associated with superior performance across service quality dimensions. Furthermore, this trade‐off becomes more acutely defined when products with variable popularity are transacted.     

Profit Sharing and the Firm‐Size Wage Premium

This study analyzes the relationships among wages, firm size, and profit sharing schemes. We develop a simple theoretical model and explore the relationship empirically using high‐quality panel data. The theoretical model shows that the firm‐size wage premium decreases in the presence of profit sharing. The empirical results based on rich matched employee‐employer data for private sector wage earners in Finland show that the firm‐size wage premium is modest, and it becomes negligible when we account for profit sharing and covariates describing assortative matching and monopsony behavior. The analysis suggests that profit sharing schemes embody effects of firm‐specific unobservables that raise productivity, support rent sharing, and boost wages.     

Doing More with Less? Employee Reactions to Psychological Contract Breach via Target Similarity or Spillover during Public Sector Organizational Change

Many countries are facing the twin pressures of austerity and recession following the 2007–2008 global financial crisis. This paper uses the UK public sector and a major national announcement of budget cuts signalling extensive organizational cutbacks as its setting. We examine (a) whether organizational changes following the national announcement affect public sector employees' psychological contract breach, (b) whether employee reactions to psychological contract breach are consistent with the target similarity model and vary across foci, namely the organization, co‐workers and public service users, and (c) whether some of these relationships are moderated by job insecurity or public sector commitment. We collected longitudinal survey data before and after the announcement of budget cuts, using a sample of 340 employees from a range of public organizations and locations. Results largely confirm the hypotheses. Increases in organizational change predicted psychological contract breach, which in turn predicted decreases in contributions towards the organization; however, contributions towards co‐workers and public service users were unaffected, which can be explained with a target similarity, rather than a spillover, model. Furthermore, the relationship between breach and employee behaviours directed toward the public was moderated by job insecurity and public sector commitment.     

Demographic and Attitudinal Correlates of Employee Satisfaction with an ESOP

A firm's adoption of an employee stock ownership plan (ESOP) has been hypothesized to increase employee productivity. Resulting employee productivity is hypothesized to improve firm profitability and thus ultimately improve stock performance. Most studies to date have tested potential relationships between the mere presence of an ESOP and changes in employee productivity and firm profitability. Few studies have attempted to identify the variables that are associated with employee satisfaction with an ESOP. In order to maximize the productivity gains associated with the adoption of an ESOP, researchers must first identify the relationships and variables most likely to positively affect employee attitudes and subsequently their satisfaction toward an ESOP. The purpose of this paper is to identify the demographic and attitudinal correlates of employee satisfaction with an ESOP. This exploration will provide a more substantive foundation for future research efforts in the area. Correlation and regression results indicated that employees' perceived influence on decision-making, perceived pay equity and perceived influence on stock performance, when examined separately, were each significant correlates of ESOP satisfaction. When combined with the modelled employee demographics in a step-wise regression model, only employees' perceived influence on stock performance, perceived influence on decision-making and age explained a statistically significant amount of variance in ESOP satisfaction.     

Hand in Hand zum Erfolg?!

This contribution deals with the relevance of the employee??s personality for brand relationship quality in the service sector. The necessity for employees of being conform to a brand to strengthen its image makes the fit between the employee and the brand personality of special interest regarding this study. The so developed causal model is evaluated by conducting an empirical study whereby one of the leading financial institutes in Germany serves as study object. Results show a high relevance of Love/Passion, Intimacy and Partner Quality for brand loyalty. Further, these dimensions of the relationship quality are determined by the fit between brand personality and employee personality with regard to the aspect competence and sincerity. The relations between the personality fit constructs and the influenced dimensions of brand relationship quality are intensified by a positive consumer evaluation of the employees with regard to the relevant personality traits.     

A Staged Service Innovation Model*

Drawing from the new product development (NPD) literature, service quality literature (SERVQUAL), and empirically grounded research with 53 service innovation decision makers, we develop a staged service innovation model (SIM) for decision makers. We tested the model using empirical data from 329 firms across five industries. The empirical results show that integrating prelaunch service quality training into new service development process leads to successful service innovation. The model developed in this article can be used as a decision support tool and diagnostic model for assessing service innovation ideas, evaluating performance of ongoing service innovations, allocating resources, and improving success rate of service innovations. Decision makers can use the measures developed in this study as a checklist to identify their strengths in delivering service quality to their own customers as well as areas of improvement. This article extends service innovation research by combining NPD and service quality development into a single study and opens the door to further work that could help improve the success rate of service innovations. The model can serve as a base model for future research extensions in service innovation research. A major takeaway for the academic reader is that the SIM demonstrates the value of using the SERVQUAL literature to understand how best to provide excellent quality that results in more fully satisfied customers and, ultimately, improved service performance.     

An Empirical Study of the Relations Between Hospital Volume,Teaching Status,and Service Quality

This paper contributes to research on quality drivers in healthcare settings by examining the relationships between patient volume, teaching mission, and process quality in US hospitals. To develop a model that accurately assesses the impact of patient volume and teaching status on quality, we draw on three related research streams pertaining to the volume–quality relationship, the comparative quality of care in teaching and non‐teaching hospitals, and quality drivers in service institutions. We propose the impact of patient volume on process quality varies across hospitals with different teaching intensities. The test of this proposition uses a large data set that measures process quality for treatments for heart attacks and heart failures in all major US hospitals. Our results suggest that, as hospital teaching intensity increases, greater patient volume is associated with decreased process quality. Never before was such a relationship uncovered. This initial finding has important practical implications. First, the regionalization policy of hospitals should be re‐evaluated in light of their teaching function. Second, the root causes for the lower quality scores of large, high resident‐to‐bed ratio teaching hospitals, compared with smaller versions, must be found.     

Adaptive versus Proactive Behavior in Service Recovery: The Role of Self‐Managing Teams

In this article, we develop a conceptual model of adaptive versus proactive recovery behavior by self‐managing teams (SMTs) in service recovery operations. To empirically test the conceptual model a combination of bank employee, customer, and archival data is collected. The results demonstrate support for independent group‐level effects of intrateam support on adaptive and proactive recovery behavior, indicating that perceptual consensus within service teams has incremental value in explaining service recovery performance. In addition, we provide evidence that adaptive and proactive recovery behavior have differential effects on external performance measures. More specifically, higher levels of adaptive performance positively influence customer‐based parameters (i.e., service recovery satisfaction and loyalty intentions), while employee proactive recovery behavior contributes to higher share of customer rates.     

Schedule Recovery: Unplanned Absences in Service Operations*

The U.S. service sector loses 2.3% of all scheduled labor hours to unplanned absences, but in some industries, the total cost of unplanned absences approaches 20% of payroll expense. The principal reasons for unscheduled absences (personal illness and family issues) are unlikely to abate anytime soon. Despite this, most labor scheduling systems continue to assume perfect attendance. This oversight masks an important but rarely addressed issue in services management: how to recover from short‐notice, short‐term reductions in planned capacity. In this article, we model optimal responses to unplanned employee absences in multi‐server queueing systems that provide discrete, pay‐per‐use services for impatient customers. Our goal is to assess the performance of alternate absence recovery strategies under various staffing and scheduling regimes. We accomplish this by first developing optimal labor schedules for hypothetical service environments with unreliable workers. We then simulate unplanned employee absences, apply an absence recovery model, and compute system profits. Our absence recovery model utilizes recovery strategies such as holdover overtime, call‐ins, and temporary workers. We find that holdover overtime is an effective absence recovery strategy provided sufficient reserve capacity (maximum allowable work hours minus scheduled hours) exists. Otherwise, less precise and more costly absence recovery methods such as call‐ins and temporary help service workers may be needed. We also find that choices for initial staffing and scheduling policies, such as planned overtime and absence anticipation, significantly influence the likelihood of successful absence recovery. To predict the effectiveness of absence recovery policies under alternate staffing/scheduling strategies and operating environments, we propose an index based on initial capacity reserves.     

How Leaders Affect Followers’ Work Engagement and Performance: Integrating Leader−Member Exchange and Crossover Theory

Drawing on leader?member exchange and crossover theory, this study examines how leaders’ work engagement can spread to followers, highlighting the role of leader?member exchange as an underlying explanatory process. Specifically, we investigate if leaders who are highly engaged in their work have better relationships with their followers, which in turn can explain elevated employee engagement. For this purpose, we surveyed 511 employees nested in 88 teams and their team leaders in a large service organization. Employees and supervisors provided data in this multi‐source design. Furthermore, we asked the employees to report their annual performance assessment. We tested our model using multilevel path analyses in Mplus. As hypothesized, leaders’ work engagement enhanced leader?member exchange quality, which in turn boosted employee engagement (mediation model). Moreover, employee engagement was positively linked to performance and negatively linked to turnover intentions. As such, our multilevel field study connects the dots between work engagement research and the leadership literature. We identify leaders’ work engagement as a key to positive leader?follower relationships and a means for promoting employee engagement and performance. Promoting work engagement at the managerial level may be a fruitful starting point for fostering an organizational culture of engagement.     

Managing Quality in the E‐Service System: Development and Application of a Process Model

In this paper, we develop a process model for assessing and managing e‐service quality based on the underlying components of the e‐service system and, in turn, address the growing need to look in more detail at the system component level for sources of poor quality. The proposed process model is comprised of a set of entities representing the e‐service system, a network defining the linking between all pairs of entities via transactions and product flows, and a set of outcomes of the processes in terms of quality dimensions. The process model is developed using Unified Modeling Language (UML), a pictorial language for specifying service designs that has achieved widespread acceptance among e‐service designers. Examples of applications of the process model are presented to illustrate how the model can be use to identify operational levers for managing and improving e‐service quality.     

员工满意指数测评方法及其管理策略研究——以某石油机械制造企业为例

员工满意度是保证用户满意的基础,员工对企业的满意指数越高,越有利于提高员工对产品或服务的质量。阐述影响员工满意的因素和产生的效应,提出员工满意指数结构模型,给出模型中隐变量相对应的观测变量以及描述模型中各相关变量之间关系的数学表达式;区分员工满意度的内在报酬因素和外在报酬因素,采用薪酬组合/员工满意度状态管理方格衡量员工的不同满意度状态,实现员工满意状态的动态管理;制定提高员工满意度的P-D-C-A-R五步循环措施,在管理实践中指导企业提高员工满意度。通过对某石油机械制造企业的实际调查,运用偏最小二乘法进行员工满意分析,得到隐变量相关关系曲线和影响员工满意的主要因素,并对企业进一步持续改进员工满意管理策略提出相应建议。