Multichannel Perspective Research Articles

Scattering theory of mesons in doped antiferromagnetic Mott insulators: Multichannel perspective and Feshbach resonance

Scattering theory of mesons in doped antiferromagnetic Mott insulators: Multichannel perspective and Feshbach resonance

Investigating the Backdoor on DNNs Based on Recolorization and Reconstruction: From a Multi-Channel Perspective

Investigating the Backdoor on DNNs Based on Recolorization and Reconstruction: From a Multi-Channel Perspective

Crisis communication in service ecosystems: perspectives and future challenges

PurposeThe purpose of this article is to offer new insights into crisis communication in service ecosystems. The authors present a framework to conceptually categorize service crises and then analyze key aspects of crisis communication among different stakeholders in a service ecosystem.Design/methodology/approachBuilding on crisis communication and service ecosystems research, we propose a framework to better understand crisis communication during service crises in service ecosystems. In doing so, we propose a typology of service crisis in service ecosystems and identify the main factors of crisis communication under the lens of the Rhetorical Arena Theory (RAT).FindingsThis article integrates communication theory and service research in the area and identifies different key dimensions to gain a deeper understanding of crisis communication in service ecosystems. Moreover, and building on RAT, several research lines are recommended in order to explore further macro (i.e. the role and interactions between different stakeholders in the event of a crisis) and micro (i.e. individual aspects related to the context, media, genre and text) dimensions, and their importance during the communication process.Originality/valueOur framework offers a typology of service crises and suggests the importance of considering a multi-actor, multi-channel perspective in communication when a crisis occurs in order to monitor and avoid the potential negative impact for both the organization's recovery and the service ecosystem evolution afterward.

Do the Preceding Self-service Technologies Influence Mobile Banking Adoption?

The study aims to identify the role of preceding self-service technologies (SSTs) in the adoption of mobile banking (m-banking). More specifically, the study examines the impact of attitude (AT), perceived usefulness (PU) and perceived ease of use (PEOU) of online banking (o-banking) and ATM in the adoption of m-banking. By using the non-probability purposive sampling technique, the data was gathered through a structured questionnaire from the non-users of m-banking. The partial least square-structural equation modeling (PLS-SEM) technique was employed on 257 useful responses to assess the hypotheses. The findings provided evidence that the AT towards ATMs and o-banking significantly affects the AT towards m-banking (ATMB). Moreover, the PEOU of ATM and o-banking significantly affects the PEOU of m-banking. However, in the case of PU, only the usefulness of o-banking affects the usefulness of m-banking. The results also reveal that the AT, PEOU and PU of m-banking affect the intention to adopt m-banking (IMB). The study benefits the banking industry as it provides insights on how banks can use their preceding SSTs in developing a consumer’s intention to use m-banking. This is one of the early studies that considers the effect of PEOU and PU of previous SSTs on the adoption of m-banking. The multi-channel perspective, that is, ATMs and o-banking in the adoption of m-banking, also offers additional valuable insights and contributes to the literature of technology adoption. In the past, studies have not focused on the spillover effects of preceding SSTs. However, mature channels could be used in boosting a new channel.

Multichannel Attention Refinement for Video Question Answering

Video Question Answering (VideoQA) is the extension of image question answering (ImageQA) in the video domain. Methods are required to give the correct answer after analyzing the provided video and question in this task. Comparing to ImageQA, the most distinctive part is the media type. Both tasks require the understanding of visual media, but VideoQA is much more challenging, mainly because of the complexity and diversity of videos. Particularly, working with the video needs to model its inherent temporal structure and analyze the diverse information it contains. In this article, we propose to tackle the task from a multichannel perspective. Appearance, motion, and audio features are extracted from the video, and question-guided attentions are refined to generate the expressive clues that support the correct answer. We also incorporate the relevant text information acquired from Wikipedia as an attempt to extend the capability of the method. Experiments on TGIF-QA and ActivityNet-QA datasets show the advantages of our method compared to existing methods. We also demonstrate the effectiveness and interpretability of our method by analyzing the refined attention weights during the question-answering procedure.

Impact of customers' assessment of website attributes on e-relationship in the securities brokerage industry: A multichannel perspective

The paper focuses on the comparison between pure e-retailers and multichannel retailers' customers and how they differ in their evaluations of functional and relational attributes of the website, as well as how these attributes impact online relationships. An online survey among online securities investors was conducted. Subjects were self-selected from blogs and forums dedicated to personal finance. A total of 326 questionnaires formed the final sample of this study. By using a series of univariate analyses of variance, structural equation modeling, and multi-group analysis, this research empirically demonstrates that the e-service quality evaluation and determinants of online relationship are different in multichannel contexts versus pure online ones. Results show that customers of multichannel retailers are not more loyal than those of pure online retailers. However, multichannel retailers exceed pure online retailers at achieving a higher level of online trust and a higher assessment of website features. The paper concludes with managerial implications that may be useful in multichannel retailing.

Multichannel Noise Reduction in the Karhunen-Loève Expansion Domain

The noise reduction problem is traditionally approached in the time, frequency, or transform domain. Having a signal dependent transform has shown some advantages over the traditional signal independent transform. Recently, the single-channel noise reduction problem in the Karhunen-Loeve expansion (KLE) domain has received special attention. In this paper, the noise reduction problem in the KLE domain is studied from a multichannel perspective. We present a new formulation of the problem, in which inter-channel and inter-mode correlations are optimally exploited. We derive different optimal noise reduction filters and present a set of useful performance measures within this framework. The performance of the different filters is then evaluated through experiments in which not only noise but also competing speech sources are present. It is shown that the proposed multichannel formulation is more robust to competing speech sources than the single-channel approach and that a better compromise between noise reduction and speech distortion can be obtained.

What hooks customers into using online reservation portals: a multichannel perspective

The purpose of this study is to investigate and compare how offline and online factors influence customers’ e-loyalty intentions within the airline online booking context. A convenience sample was selected. Primary data were collected using a pencil-and-paper survey, and AMOS 18 was used to test the hypothesised relationships. I found that online factors have a stronger influence compared with offline factors on customers’ e-loyalty intentions. The key contribution of this paper is a conceptualisation of the predictors of customers’ online booking services that takes into account the important offline and online factors cited in the literature.

E-service quality: an internal, multichannel and pure service perspective

This article contributes to the emerging e-service quality literature by adopting a different approach to the dominant focus in previous research. The work centres on the internal perspective of organisation, studies the pure service sector and subjects the personal sales channel and the Internet channel to joint examination. A new conceptual framework is proposed via an adaptation of the service pyramid model [Parasuraman, A. (1996). Understanding and leveraging the role of customer service in external interactive and internal marketing. Paper presented at the 1996 Frontiers in Services Conference, Nashville, TN], and employee-orientated internal marketing and technology-orientated internal marketing are analysed as integrated drivers of commercial performance, within the context of retail banking in Spain. The results suggest that both marketing activities constitute part of a coherent strategy that is geared towards making and meeting service promises, within a multichannel perspective, and is associated with high commercial performance.

A multistage knowledge-based system for EEG seizure detection in newborn infants

Objective Automatic seizure detection has attracted attention as a method to obtain valuable information concerning the duration, timing, and frequency of seizures. Methods currently used to detect EEG seizures in adults show high false detection rates in neonates because they lack information about specific age-dependent features of normal and pathological EEG and artifacts. This paper describes a novel multistage knowledge-based seizure detection system for newborn infants to identify and classify normal and pathological newborn EEGs as well as seizures with a reduced false detection rate. Methods We developed the system in a way to make comprehensive use of spatial and temporal contextual information obtained from multichannel EEGs. The system development consists of six major stages: (i) EEG data collection and bandpass filtering; (ii) automatic artifact detection; (iii) feature extraction from segments of non-seizure and seizure activities; (iv) feature selection via the relevance and redundancy analysis; (v) EEG classification and pattern recognition using a trained multilayer back-propagation neural network; and (v) knowledge-based decision-making to examine each of possible EEG patterns from a multi-channel perspective. The system was developed and tested with the EEG recordings of 10 newborns aged between 39 and 42 weeks. Results The overall sensitivity, selectivity, and average detection rate of the system were 74%, 70.1%, and 79.7%, respectively. The average false detection of 1.55/h was also achieved by the system with a feature reduction up to 80%. Conclusions The expert rule-based decision-making subsystem accompanying the classifier helped to reduce the false detection rate, reject a wide variety of artifacts, and discriminate various patterns of EEG. Significance This paper may serve as a guide for the selection of discriminative features to improve the accuracy of conventional seizure detection systems for routine clinical EEG interpretation and brain activity monitoring in newborns especially those hospitalized in the neonatal intensive care units.