EXPLORING CALL CENTER ENABLED MECHANISMS FOR FIRM\u27S COMBINATIVE CAPABILITIES

The knowledge mechanisms of call centers have been emphasized by many pervious studies. Yet there is little empirical research that examines the call centers\u27 influence on firms\u27 combinative capabilities. To address this gap, this study examines call center enabled organizational mechanisms that contribute to the firms\u27 combinative capabilities. The study identifies differential effects from three types of combinative capabilities including system capabilities, coordination capabilities, and socialization capabilities. Through in-depth case studies of four Taiwanese call centers, this study finds seven organizational mechanisms including centralized information deployment and knowledge encapsulation, institution changing and foolproof, information hub and relationship management, decision making ladder, training center, network configuration, and job embeddedness . The findings provide practical implications to industry managers engaged in call center implementations from a combinative capabilities perspective. Future research directions are also discussed

Mobile Edge Computing Platform Deployment in 4G LTE Networks: A Middlebox Approach

This paper has been presented at : USENIX Workshop on Hot Topics in Edge Computing (Hot Edge '18)Low-latency demands for cellular networks have at-tracted much attention. Mobile edge computing (MEC), which deploys a cloud computing platform at the edge closer to mobile users, has been introduced as an enabler of low-latency performance in 4G and 5G networks. In this paper, we propose an MEC platform deployment so-lution in 4G LTE networks using a middlebox approach. It is standard-compliant and transparent to existing cel-lular network components, so they need not be modified. The MEC middlebox sits on the S1 interface, which con-nects an LTE base station to its core network, and does traffic filtering, manipulation and forwarding. It enables the MEC service for mobile users by hosting application servers. Such middlebox approach can save deployment cost and be easy to install. It is different from other stud-ies that require modifications on base stations or/and core networks. We have confirmed its viability through a pro-totype based on the OpenAirInterface cellular platform.We thank our shepherd Weisong Shi for his help, and also thank the anonymous reviewers for their valuable comments on improving this paper. This work was partially supported by the Ministry of Science and Technology, Taiwan, under grant numbers 106-2622-8-009-017 and 106-2218-E-009-018, and by the H2020 collaborative Europe/Taiwan research project 5G-CORAL (grant number 761586)

Serotype Competence and Penicillin Resistance in Streptococcus pneumoniae

Enhanced molecular surveillance of virulent clones with higher competence can detect serotype switching

Vibrio vulnificus in Taiwan

Clinical features of 84 patients with V. vulnificus infection are analyzed and molecular features of isolates are described

Electrospun ZnO Nanowires as Gas Sensors for Ethanol Detection

ZnO nanowires were produced using an electrospinning method and used in gas sensors for the detection of ethanol at 220 °C. This electrospinning technique allows the direct placement of ZnO nanowires during their synthesis to bridge the sensor electrodes. An excellent sensitivity of nearly 90% was obtained at a low ethanol concentration of 10 ppm, and the rest obtained at higher ethanol concentrations, up to 600 ppm, all equal to or greater than 90%

Diagnosis of Tuberculosis by an Enzyme-Linked Immunospot Assay for Interferon-γ

*National Taiwan University Hospital, Taipei, Taiwan

Detection of SARS-associated Coronavirus in Throat Wash and Saliva in Early Diagnosis

Early detection of SARS-CoV in throat wash and saliva suggests that these specimens are ideal for SARS diagnosis