PurposeEnhancing consumer engagement in e-commerce live streaming is critical for e-commerce operators to build relationships and create consumer loyalty. Using the stimulus–organism–response model and theories from relationship marketing, the authors develop and test an integrative conceptual framework that combines various relational bonds, affective commitment, and consumer engagement.Design/methodology/approachUsing 327 valid responses from consumers of Taobao Live, the authors employed the software Mplus7.0 to evaluate the measurement model and the structural model.FindingsThe results empirically demonstrate that social and structural bonds positively affect consumer engagement directly and indirectly via affective commitment, while financial bonds have only an indirect effect via affective commitment on consumer engagement.Practical implicationsThe findings provide useful insights for e-commerce operators, who should invest in establishing relational bonds and stimulating affective commitment to improve consumer engagement.Originality/valueThis study adds to e-commerce research by being one of the first empirical studies on e-commerce live streaming, extends the marketing literature by integrating different relational bonds as antecedents of consumer engagement from the relational perspective, and enriches the affective commitment literature by distinguishing commitment to the online marketplace from commitment to the broadcaster.
This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link Abstract.Purpose: Computed tomographic (CT) colonography is a relatively new technique for detecting bowel cancer or potentially precancerous polyps. CT scanning is combined with 3-dimensional image reconstruction to produce a virtual endoluminal representation similar to optical colonoscopy. Because retained fluid and stool can mimic pathology, CT data is acquired with the bowel cleansed and insufflated with gas and patient in both prone and supine positions. Radiologists then match visually endoluminal locations between the two acquisitions in order to determine whether apparent pathology is real or not. This process is hindered by the fact that the colon, essentially a long tube, can undergo considerable deformation between acquisitions. We present a novel approach to automatically establish spatial correspondence between prone and supine endoluminal colonic surfaces after surface parameterization, even in the case of local colon collapse. Methods:The complexity of the registration task was reduced from a 3D to a 2D problem by mapping the surfaces extracted from prone and supine CT colonography onto a cylindrical parameterization. A non-rigid cylindrical registration was then performed to align the full colonic surfaces. The curvature information from the original 3D surfaces was used to determine correspondence. The method can also be applied to cases with regions of local colonic collapse by ignoring the collapsed regions during the registration.Results: Using a development set, suitable parameters were found to constrain the cylindrical registration method. Then, the same registration parameters were applied to a different set of 13 validation cases, consisting of 8 fully distended cases and 5 cases exhibiting multiple colonic collapses. All polyps present were well aligned, with a mean (± std. dev.) registration error of 5.7 (± 3.4) mm. An additional set of 1175 reference points on haustral folds spread over the full endoluminal colon surfaces resulted in an error of 7.7 (± 7.4) mm. Here, 82% of folds was aligned correctly after registration with a further 15% misregistered by just one fold. Conclusions:The proposed method reduces the 3D registration task to a cylindrical registration representing the endoluminal surface of the colon. Our algorithm uses surface curvature information as a similarity measure to drive registration to compensate for the large colorectal deformations that occur between prone and supine data acquisitions. The method has the potential to both enhance polyp detection and decrease the radiologist's interpretation time.Registration of the endoluminal surfaces of the colon derived from CTC
Purpose – Fast-growing online retail market provides convenience for customers. But it makes competition among online retailers fiercer as well. Online retailers need to improve online shoppers’ satisfaction level for the purpose of keeping their loyalty. As an important component in online retail market, logistics service affects online shoppers’ satisfaction level. By applying expectation confirmation theory, the purpose of this paper is to explore how customized logistics services (CLS) influences online shoppers’ satisfaction level and whether the relationship between them is moderated by product type. Design/methodology/approach – Data were collected from Tmall.com, the biggest online retail market in China. Exploratory factor analysis and two-way ANOVA were conducted to analyze the data. Findings – The results indicate that CLS positively impacts online shoppers’ satisfaction level. But product type does not have moderate effect on the relationship between CLS and online shoppers’ satisfaction level. Practical implications – Online retail market grows fast. As the number of retailers keeps increasing, competition in this market becomes fiercer. In order to attract new shoppers and increase shoppers’ loyalty, online retailers must make shopper satisfied with their purchase. CLS positively impacts online shoppers’ satisfaction level, online retailers should offer shoppers CLS. Originality/value – This study examines how customized logistics influences customer satisfaction, and extends literatures related to online customer satisfaction by integrating the factor CLS and opens the way for other studies related to logistics service customization. Furthermore, this study discusses how IoT will improve online retailers’ abilities in providing CLS.
Abstract. While Minimally Invasive Surgery (MIS) offers great benefits to patients compared with open surgery surgeons suffer from a restricted field-ofview and obstruction from instruments. We present a novel method for 3D reconstruction of soft tissue, which can provide a wider field-of-view with 3D information for surgeons, including restoration of missing data. The paper focuses on the use of Structure from Motion (SFM) techniques to solve the missing data problem and application of competitive evolutionary agents to improve the robustness to missing data and outliers. The method has been evaluated with synthetic data, images from a phantom heart model, and in vivo MIS image sequences using the da Vinci telerobotic surgical system.
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