Purpose The purpose of this study is to develop a synthesized conceptual framework for artificial intelligence (AI) adoption in the field business-to-business (B2B) marketing. Design/methodology/approach A development approach has been adopted, based on content analysis 59 papers peer-reviewed academic journals, identify drivers, barriers, practices and consequences AI B2B Based these analyses findings, model developed. Findings This paper identifies following two key drivers adoption:...

Purpose This study explores how sharing platforms achieve platform loyalty through various operation management strategies. Design/methodology/approach A multiple case method has been conducted in two Chinese economy industries: ride- and bike-sharing. Data were collected 30 semi-structured interviews with managers from four companies (DiDi, Uber China, ofo Mobike). Individual studies developed the triangulation of all existing data. Concurrent development these individual was a cross-case...

Link prediction has received increased attention in social network analysis. One of the unique challenges heterogeneous networks is link new types without verified information, such as recommending products to overseas groups. Existing models tend learn type-specific knowledge on specific and predict missing or future links same types. However, because uncertainty evolving process networks, it difficult collect sufficient information Therefore, we propose Transferable Domain Adversarial...

This study examines how platforms within sharing economy-based service triads (SESTs) can improve their social capital through information processing and knowledge management mechanisms, with the objective to provide better platform services both suppliers end customers. Data were collected multiple case studies, primarily relying on insight gathered from 32 semi-structured interviews managers four economy companies in Chinese ride-sharing (DiDi Uber China) logistics-sharing (Huo-che-bang...

The crucial role of networking in Cloud computing calls for federated management both and resources end-to-end service provisioning. Application the Service-Oriented Architecture (SOA) enables a convergence network One key challenges to -- lies QoS-aware composition services. In this paper, we propose method tackle challenging issue. We first present system model formulate problem as variant Multi-Constrained Optimal Path (MCOP) problem. then develop an algorithm solve give theoretical...

An image denoising method is proposed for ultrasonic logging images with severe noise. The works on a variational Bayesian framework using block sparse prior. First, the coefficients are simulated by more appropriate distribution—Laplacian distribution. Then model in which Laplacian distribution used as prior term of proposed. Finally, semiquadratic regularization to solve simplified process. Moreover, during process, relaxation factor introduced improve accuracy. In vast majority cases,...

Three-dimensional (3D) digital image processing and segmentation techniques are very useful for reconstruction visualization of materials microstructures to obtain information regarding 3D geometry particles, either dispersed in the matrix phase or filled space. In this contribution, an approach apply these reconstruction, analysis large datasets grain structures is described demonstrated through � -iron grains. One hundred twenty serial sections with mean section spacing 1.69 m were used...

Topological correlations of three-dimensional grains were investigated by Monte Carlo-Potts model simulation. The result shows that, unlike first nearest neighbors (the Aboav-Weaire law [D. Aboav, Metallography 3, 383 (1970) and D. Weaire, 7, 157 (1974)] holds), there appears to be very little correlation between their second third (on average), i.e., the average number faces neighbors, m2, m3, are independent f center grain (nearly m2 = 14.984 m3 14.489). This indicates that long range...

In this paper, the asymptotic stability for bidirectional associative memory (BAM) neural networks of neutral-type with interval time-varying delays is investigated. The discrete delay assumed to be and belong a given interval, which means that lower upper bounds are available. By employing Lyapunov-Krasovskii functional method using linear matrix inequality (LMI) technique, new delay-range-dependent criterion established in terms LMI. addition, proposed LMI based results can easily checked...

This study aims to explain what is and why the operational challenge of bike-sharing companies exits how it can be overcome for platform achieve expected outcomes. finds that challenges exist these because reciprocity norm not obeyed by some customers, who immorally damage or displace bikes; government, does provide subsidies; investors, pursue their own agenda; there a lack coordination between company's online offline operations arising from technology expertise. To platforms, identifies...

Online product reviews are valuable resources to collect customer preferences for improvement. To retrieve consumer preferences, it is important automatically extract features from online reviews. However, feature extraction Chinese challenging due the particularity of language. This research focuses on how accurately and prioritize establish improvement strategies based extracted features. First, an ensemble deep learning model (EDLM) proposed classify Second, conjoint analysis conducted...

This paper develops a novel robust stability criterion for class of uncertain neutral-type neural networks with discrete interval and distributed time-varying delays. By constructing general form Lyapunov-Krasovskii functional, using the linear matrix inequality (LMI) approach introducing some free-weight matrices, delay-dependent criteria are derived in terms LMI. Number examples given to illustrate effectiveness proposed method.

This paper has finished data mining from library management system by K-means algorithm of the cluster analysis, made analysis on various characteristics readers' grades and departments thus gained results. The results show that procurement department shall add books English reading materials, computational linguistics, computer operation, social-romantic novels, etc. so as to satisfy demand student readers. a certain extent can be taken guide rationalize distribution resources increase...

Accurate prediction of sales is instrumental to successful management in the industries. It crucial formulating business strategies under uncertainties. In this paper, we consider time series which observations are arriving sequentially. An online model integrating with particle filter used for predicting 80 products a local retailer over 400 days. We embed an Autoregressive into state space and carry out all using particular Particle Filter called Sampling Importance Resampling Filter. Our...

Abstract A new, efficient method based on a series of matrices is introduced to completely describe the detailed topology individual domains and their evolution in three-dimensional cellular structures. With this approach, we found lot new topological grain forms which are never reported before, i.e., there total 8 32 for 7- 8-faced grains respectively, other than 7 27. This proved be practical tool predict all possible efficiently. Moreover, connectivity index serves as convenient...