The authors examine the implications of electronic shopping for consumers, retailers, and manufacturers. They assume that near-term technological developments will offer consumers unparalleled opportunities to locate and compare product offerings. They examine these advantages as a function of typical consumer goals and the types of products and services being sought and offer conclusions regarding consumer incentives and disincentives to purchase through interactive home shopping vis-à-vis traditional retail formats. The authors discuss implications for industry structure as they pertain to competition among retailers, competition among manufacturers, and retailer-manufacturer relationships.

Interactive home shopping: Consumer, retailer, and manufacturer incentives to participate in

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The New Economics for Industry, Government, Education

This article advances our understanding of the influence of affect in consumers’ responses to brief, nonpersonal service encounters. This study contributes to the services marketing literature by examining for mundane service transactions the impact of customer-displayed emotion and affect on assessments of the service encounter and the overall experience. Observational and perceptual data from customers were matched with frontline employees in 200 transaction-specific encounters. The results of this study suggest that consumers’ evaluations of the service encounter correlate highly with their displayed emotions during the interaction and postencounter mood states. Finally, the findings indicate that frontline employees’perceptions of the encounter are not aligned with those of their customers. The managerial implications of these findings are briefly discussed.

The Role of Emotions in Service Encounters

This paper provides an overview and perspective of recent research and applications of statistical process monitoring.

Some current directions in the theory and application of statistical process monitoring

The 2019 novel coronavirus is a non-segmented positive-sense RNA virus belonging to the Coronaviridae-Nidovirales family. We examined the swings in purchase behavior following the outbreak of the C...

https://www.tandfonline.com/doi/pdf/10.1080/02642069.2020.1751823

COVID-19: fear appeal favoring purchase behavior towards personal protective equipment

The impact of channel integration on consumer responses in omni-channel retailing: The mediating effect of consumer empowerment

E-retailers are embracing new digital marketing strategies to provide more authentic information to their customers. This research examines the impact of live video streaming (LVS), defined as broa...

The impact of live video streaming on online purchase intention

Exponential CUSUM charts are used in monitoring the occurrence rate of rare events because the interarrival times of events for homogeneous Poisson processes are independent and identically distributed exponential random variables. In these applications, it is assumed that the exponential parameter, i.e. the mean, is known or has been accurately estimated. However, in practice, the in-control mean is typically unknown and must be estimated to construct the limits for the exponential CUSUM chart. In this article, we investigate the effect of parameter estimation on the run length properties of one-sided lower exponential CUSUM charts. In addition, analyzing conditional performance measures shows that the effect of estimation error can be significant, affecting both the in-control average run length and the quick detection of process deterioration. We also provide recommendations regarding phase I sample sizes. This sample size must be quite large for the in-control chart performance to be close to that for the known parameter case. Finally, we provide an industrial example to highlight the practical implications of estimation error, and to offer advice to practitioners when constructing/analyzing a phase I sample. Copyright © 2013 John Wiley & Sons, Ltd.

Exponential CUSUM Charts with Estimated Control Limits

The geometric control chart has been shown to be more effective than p and np-charts for monitoring the proportion of nonconforming items, especially for high-quality Bernoulli processes. When implementing a geometric control chart, the in-control proportion nonconforming is typically unknown and must be estimated. In this article, we used the standard deviation of the average run length (SDARL) and the standard deviation of the average number of inspected items to signal, SDARL*, to show that much larger phase I sample sizes are needed in practice than implied by previous research. The SDARL (or SDARL*) was used because practitioners would estimate the control limits based on different phase I samples. Thus, there would be practitioner-to-practitioner variability in the in-control ARL (or ARL*). In addition, we recommend a Bayes estimator for the in-control proportion nonconforming to take advantage of practitioners' knowledge and to avoid estimation problems when no nonconforming items are observed in the phase I sample. If the in-control proportion nonconforming is low, then the required phase I sample size may be prohibitively large. In this case, we recommend an approach to identify a more informative continuous variable to monitor. Copyright © 2012 John Wiley & Sons, Ltd.

Geometric Charts with Estimated Control Limits

In recent years, more and more e-retailers have adopted live streaming services to attract customers. Although the extant literature has mostly examined the motivations for live streaming usage, it remains unclear how to enhance customers’ purchase behaviour. Based on the social exchange theory, in the context of live streaming platforms (LSP), this study aims to investigate the impact of information quality and interaction quality on swift guanxi and customers’ purchase intention.,This study conducted an online survey to conduct two rounds of data collection and analyses the data using SPSS and SmartPLS softwares.,The results show that information quality (believability, usefulness and vividness) and interaction quality (responsiveness, real-time interaction and empathy) are positively related to swift guanxi, which may influence customers’ online purchase intention on LSP.,Prior service quality studies tend to focus on traditional physical stores and e-commerce websites context. This study offers the description of key dimensions of service quality on emerging LSP context. The study also confirms the importance of swift guanxi in an online marketplace.

Min Zhang

Papers

The impact of channel integration on consumer responses in omni-channel retailing: The mediating effect of consumer empowerment

The impact of live video streaming on online purchase intention

Exponential CUSUM Charts with Estimated Control Limits

Geometric Charts with Estimated Control Limits

E-service quality on live streaming platforms: swift guanxi perspective