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The first purpose is to assess the quality of containerized multimodal export and the second is to develop and demonstrate the design of a service network with quality approach.

The article used the structural equation model to develop a model to measure the quality of multimodal transportation for containerized exports and finalized the model with an alternative approach. The evolutionary algorithm had been used to design a service network based on quality.

Provided factors affecting quality of multimodal transportation and reverse to one hypothesis, the construct variation in cost, time shape and quantity did not affect the quality of multimodal transportation for containerized exports. The model without variation construct was finalized by exploring causality.

This research had scope till container loading onto the vessel and assessed the quality for containerized cargo only, and second research purpose is limited by assumed values of fitness function and the limited number of nodes, in service network design demonstration.

This research provided a tool to measure the quality of multimodal transportation for containerized exports and demonstrated the field application of the model developed in service network design. This approach included all factors applicable across the container movement. The integrated approach of the article provided an organized method to design a service network for containerized exports.

This work provided the tool to assess the quality of multimodal transportation for containerized exports and developed an approach to design a service network of multimodal transportation based on quality. This approach has considered the factors of multimodal transportation comprehensively in contrast to the optimization approaches based on operation research techniques.

Effective measurement and analysis of service quality are an essential first step in its improvement. This paper discusses the development of neural network models for this purpose. A valid neural network model for service quality is initially developed. Customer data from a SERVQUAL survey at an auto‐dealership network in The Netherlands provide the basis for model development. Different definitions of service quality measurement are modelled using the neural network approach. The perception‐minus‐expectation model of service quality was found not to be as accurate as the perception‐only model in predicting service quality. While this is consistent with the literature, this study also shows that the more intuitively appealing but mathematically less convenient expectation‐minus‐perception model out‐performs all the other service quality measurement models. The study also provides an analytical basis for the importance of expectation in the measurement of service quality. However, the study demonstrates the need for further study before neural network models may be effectively used for sensitivity analyses involving specific dimensions of service quality.

Healthcare networks are becoming ubiquitous, yet it is unclear how hospitals with varying quality capabilities would fare by being affiliated with large healthcare networks. The purpose of this paper is to first consider the deductive configuration perspective and distinguish high and low quality hospitals by using clinical and experiential quality as two dimensions of quality capability. Next, it examines the impact of healthcare network size on operating costs of hospitals. Additionally, the paper investigates the interaction effect of hospital demand and healthcare network size on operating costs.

The paper uses a dataset that was created by combining five separate sources. Cluster analysis technique is used to classify hospitals into four groups – holistic quality leaders (high clinical and experiential quality capability), experiential quality focusers (low clinical quality capability and high experiential quality capability), clinical quality focusers (high clinical capability and low experiential quality capability), and quality laggards (low clinical and experiential quality capability). The authors test the research hypotheses by means of regression analyses after controlling for several contextual characteristics.

The results show that affiliation with large healthcare networks reduces operating costs for quality laggards, but increases these costs for experiential quality focusers and clinical quality focusers. The hypothesized positive relationship between healthcare network size and costs is not supported for holistic quality leaders. The authors find that clinical quality focusers and holistic quality leaders can complement higher utilization levels in their operations due to increased demand and healthcare network size to reduce their operating costs per day.

There has been increasing evidence suggesting that hospitals must carefully manage both clinical and experiential quality. By focusing on both clinical and experiential quality, unlike experiential quality focusers and clinical quality focusers, holistic quality leaders are not adversely affected by the size of their network. The results suggest that experiential quality focusers and clinical quality focusers should either embrace holistic quality management or restrict the size of their networks to maintain their quality level and to reduce coordination costs.

Based on associative network theory and a service systems perspective, this study aims to investigate the spillover effects of quality and customer satisfaction between products and services and, in particular, the role of customer expertise in this process.

Overall, 457 valid responses were collected through a questionnaire survey. Structural equation modeling was used to test the hypotheses.

Empirical support was found for spillover effects. For tech‐savvy users, spillover from network service quality has a positive impact on the formation of satisfaction with handsets; however, for non‐tech‐savvy users, spillovers only occur between satisfaction and loyalty.

The paper has extended understanding of the relationships between quality, satisfaction, and loyalty in a multi‐context setting. Future research could study spillovers longitudinally and examine such effects in other emerging mobile contexts.

Managing quality and satisfaction is increasingly complex given that customers are seeking for a holistic experience. Measurement based on pure‐product or pure‐service should be improved by taking a more systematic approach. Mobile phones render people unprecedented connections with the world, thus transforming every aspect of the society. A reorientation to the user and their use contexts can contribute to better mobile communication experiences.

This study views the product and service as part of a service system that holistically delivers value‐in‐use. Furthermore, the role of customers as resource integrators is recognized by including their knowledge as an input for need fulfilment.

Grounded in Barney’s (1991) resource-based view of the firm and social network theory, and utilizing the Big Five factors as outlined by McCrae and Costa (1997), the purpose of this paper is to investigate how founders’ personality traits impact the quality of a firm’s network relationships, its competitive advantages, and the performance of Chinese apparel new ventures.

An online survey was conducted, employing a purposive sampling technique. Founders or members of a founding team currently operating a business in the apparel industry in China who have been in business for five years or less were chosen for this study. The survey yielded 210 usable responses, which were used for further data analysis. Confirmatory factor analysis was first conducted to find a better model for the measurement of each latent variable. Structural equation modeling in AMOS 24 was then used to test the study’s hypothesized model.

The most notable finding was that three of the personality traits studied – openness to experience, agreeableness, and emotional stability – had statistically significant influences on the quality of firms’ relationships with supply-chain partners, but for the traits of extraversion and conscientiousness no influence was found. Further, perceived quality of firms’ network relationships helped enhance competitive advantages and firm performance. The findings identified unique personality traits that founders must possess for successful network relationships and are critical for the performance of Chinese apparel new ventures.

This is one of a few studies that simultaneously evaluate the impact of the personality traits of founders and the network resources of firms on the performance of new ventures in China. Its findings may help those who are interested in starting new ventures in the Chinese apparel industry to manage the external network relationships that are critical for new venture success. Supply-chain partners could also utilize these findings to create appropriate strategies for improving relationships with Chinese apparel new ventures to cope with the critical business challenges of globalization and collaboration.

To examine empirically the mediating role of relationship quality on the relationships between relational selling behavior, network quality, service recovery, and loyalty, and the moderating role of prior IT experience on the above relationships in ISP service.

Data were obtained via questionnaires from randomly selected ADSL customers of Chunghwa Telecom. The constructs were measured using existing scales. SEM was used to examine the effects.

Relational selling behavior, network quality, and service recovery indirectly influence loyalty through the mediation of relationship quality, consisting of satisfaction and trust. The effects of relational selling behavior on satisfaction and trust are stronger for inexperienced than for experienced customers. Those of network quality on satisfaction and trust are similar for both experienced and inexperienced customers. Those of service recovery on satisfaction and trust are stronger for experienced than for inexperienced customers.

There are three limitations. First, customer loyalty may be only partially reflected since it was measured by self‐reports. Second, there may exist common method variance. Third, the generalizability of the findings might be limited.

IT service organizations should invest in training programs and advertising campaigns, the ways of transferring information and services to users, to improve relationship quality. Managers should be careful not to try partnering initiatives with customers without knowing their prior IT experience.

This study presents a thorough understanding of how relational selling behavior, network quality, and service recovery indirectly influence loyalty through satisfaction and trust, and how prior IT experience moderates the above relationships in ISP service.

The purpose of this study is to examine the association between audit partners’ signing networks and accruals quality, using the sample of Taiwanese publicly traded companies.

This study uses four centrality measures as proxies in this study for the strength of the audit partners’ relationship networks and the absolute value of discretionary accruals to measure accruals quality.

Using the sample of publicly traded firms audited by the Big 4 accounting firms in Taiwan during the 2011–2017 period, this study finds that the centrality of an audit partner’s signing network is negatively associated with the absolute value of discretionary accruals. The result is robust to various discretionary accruals measures and survives the alternative explanation related to the endogenous matching between audit partners and their clients.

This study contributes to the understanding of the effect of the relationship network within an accounting firm on accruals quality. This is one of the few studies to empirically examine the strength of the audit partners’ relationship network as a factor in firms’ financial reporting quality, especially by using the sample from an emerging market. This study shows that the strength of the audit partners’ signing networks contains incremental information when assessing firms’ earnings quality. High-quality audit work is important to ensure high-quality financial reporting and the results of this study highlight that audit partners’ network linkages affect the quality of their work.

The purpose of this paper is to illustrate and conceptualize how crowdsourcing can be implemented as a potential means to address gaps in service quality within service networks and to provide guidance to marketing practitioners on the use of crowdsourcing within service networks.

This paper conceptualizes how crowdsourcing can be used to address service quality gaps in service networks and provides propositions regarding the effects of crowdsourcing on service quality gaps.

Conceptual paper with a literature review, suggested a model for service quality gaps in service networks and propositions regarding the effects of crowdsourcing to manage service quality gaps.

This research contributes to the literature on crowdsourcing by theorizing how crowdsourcing impacts service quality in service networks.

Considerations for managers implementing crowdsourcing strategies and activities within service networks are provided. In particular, implications with regard to forming the crowd, developing the most appropriate approach and integrating value into the firm are discussed.

This paper offers an original contribution linking crowdsourcing to service quality.

This work aims to examine the quality disclosure strategy of sharing economy platforms with network externality, considering consumer risk aversion.

The game theory, sensitive analysis and numerical study are used herein. The equilibria are derived from the game theory. The quality disclosure strategy is analyzed by profit comparison. To further understand the characteristics of the optimal disclosure strategy, sensitive analysis and numerical studies are conducted to detail the analytical results.

Regardless of market structure, the quality disclosure decision problem is a trade-off between information effect and cost effect. Consumer risk aversion is a factor that can incentivize low-quality platforms to disclose quality. Both consumer risk aversion and network externality influence the quality disclosure strategy through information effect. Interestingly, for different competition intensities, consumer risk aversion and network externality could lead to positive or negative information effects of removing uncertainty. The authors show that under certain conditions, consumer risk aversion and network externality could induce more quality concealment.

The quality is set exogenous herein, and the integrated process of quality investment and information disclosure is an interesting direction for future research.

This work provides managerial insights for sharing economy platforms regarding how to wisely consider consumer risk aversion and network externality when sharing quality information.

This work identifies two effects that determine quality disclosure strategy and specifies the role of each factor on quality disclosure.

Guided by social resource theory, this study aims to examine the influence of conflict (i.e. task and relationship) on performance. The authors investigated whether job engagement mediates this relationship and whether social network quality moderates the relationship between conflict, job engagement and performance.

The authors built and tested a moderated mediation model, using data from 217 graduate students.

Results showed that job engagement operates as a mediating mechanism between task conflict and performance. The authors also found that the indirect effect of job engagement depended upon the quality of the social networks. When the quality of the social network was high, both the task and relationship conflict did not negatively influence the association between job engagement and performance.

These findings provide new insights into how social embeddedness in the form of social network quality can create a social context in which conflict works out less detrimental.

Given that employees are interdependent and coworkers are likely to differ in their personal values and opinions, the authors conclude that managers should facilitate the development of meaningful relationships at work.

Whereas prior research has found conflict (i.e. task and relationship) to negatively associate with performance, the authors show that social networks do affect the strength of the relationship between conflict (i.e. task and relationship) and performance.