A cognitive social capital explanation of service separation distress

Purpose Service separation distress arises when service consumers worry that a useful service may become unavailable. This paper aims to integrate two theoretical explanations of ongoing service use, being service continuance and relationship commitment and a common foundation of cognitive social capital. Design/methodology/approach This study conducts an online survey of 245 cloud service consumers, which to test the research model is used. Findings This paper finds that relationship commitment mediates the service continuance explanation in explaining service separation distress. Research limitations/implications While service features are important, they are less important than the consumer’s perceived relationship with the service in promoting perceived service separation distress. Contrary to expectations, the finding identified the service relationship as the dominant explanation for service separation distress. Practical implications Jeopardy to the consumer-provider relationship can create greater anxiety and distress to consumers than a disruption that threatens service features alone. Adding service features may not reduce customer separation distress regarding the service. Social implications The unified cognitive social capital lens on service separation suggests that consumers value service provider relationships (e.g. commitment and trust) over service features. A stronger social relationship with the consumer, in turn, strengthens the perceived service offering. Originality/value This is among the first studies to unify two explanations of service continuance using social capital and to empirically identify how this explanation affects service distress.

Parallelism in web services: design of parallel XML parser for web services

<p>A WS provides the communication between heterogeneous systems. While performing this operation, we need to focus on QoS of consumer, provider and registry directory. There will be some parameters like WS selection, prediction and rank these are parameters need to consider while QoS implementation in web services. While performing integration in web services we need to focus on QoS requirements regarding server and network performance. Performance of WS is related to locations i.e the network distance and the Internet connections between consumer and provider. There will be more QoS approach which works on consumers collected QoS data, based on this data system can predict the QoS of WS. Throughput and response time are the QoS of WS. In this paper, we have proposed parallel XML parser, by which we can parse UDDI, WSDL and SOAP XML files parallel by which it will improve the response time and throughput of WS.</p>

Power versus trust – what matters more in collaborative consumption?

Purpose Collaborative consumption, such as car sharing, specifically implicates customer-to-customer interaction, which must be regulated by service providers (companies, peers and self-regulating communities), comprising different challenges for business organizations. While in conventional business relations, consumers are protected from undesirable customer behavior by laws, regulations (power) in the context of collaborative consumption are rare, so that trust becomes more relevant. It is the purpose of the study to investigate possible mechanisms to prevent undesirable customers in collaborative consumption. Design/methodology/approach In between subject designs, samples of 186 and 328 consumers filled in experimental online questionnaires with vignettes. Analyses were made of differences among car sharing companies, private persons and car sharing communities in terms of the power of providers, trust in providers and trust in other users of the shared goods, undesirable customer behavior and consumer–provider relations. Findings Companies, private persons and self-regulating communities differ in terms of perceived power and trust. Participants specifically perceive mainly coercive power with the car sharing company, but with the private person and the community, reason-based trust in other users is perceived as prevalent. Nevertheless, undesirable customer behavior varies only marginally over the models. Originality/value The present study is the first to investigate measures to prevent undesirable customer behavior over different collaborative consumption models. This enables appropriate identification of market segments and tailoring of services. The study identifies opportunities for companies in contrast to private persons and self-regulating communities and, in doing so, provides important stimulation for marketing strategy and theory development.

Provider behaviors or consumer participation: How should we measure person-centered care?

Current research has found that higher rates of patient-centered care (PCC) are associated with greater treatment adherence and positive treatment outcomes. However, the instruments used to access PCC primarily collect data on provider behavior, rather than consumer participation in PCC, despite the necessary co-equal and collaborative nature of PCC interactions.Cross-sectional survey data was collected from 82 mental health care consumers receiving services at two Veterans Health Administration (VHA) facilities. Participants completed surveys on perceptions of PCC, consumer involvement in care, therapeutic alliance, medication adherence, and mental health care system mistrust.Pearson correlations examined associations between scales. Multiple regression analyses were used to test whether person-centeredness and consumer involvement in care are significant independent explanatory predictors of the identified outcome variables. Significant correlation between the consumer participation and PCC subscales was mixed. Higher levels of PCC were associated with greater therapeutic alliance, less suspicion of mental health care systems, less perception of lack of support from providers, and less beliefs about group disparities in care. Consumer involvement was only significantly related to suspicion of mental health care systems.Perceived PCC was a better explanatory variable than consumer involvement in care for most of the dependent variables. This may be a function of the locus of each outcome variable. When selecting PCC measures, researchers may wish to consider whether the variables of interest are related to the consumer-/provider-as-person or the consumer-provider relationship in order to inform instrument selection.