Understanding the Effect of Social Media Overload on Academic Performance: A Stressor-Strain-Outcome Perspective

Social media has deeply penetrated into university students’ daily lives, inducing excessive usage that can result in social media overload. However, only few studies have explored the adverse consequences of social media use from a pedagogical perspective. This paper aims to investigate the effects of overload on students’ academic performance and the underlying mechanism. Based on the stressor-strain-outcome model, we propose that information, communication, and social overloads influence technostress and exhaustion of students, which in turn impair their academic performance. Results from a study of 249 Chinese social media users in universities reveal that all three types of overload enhance technostress, but only information overload significantly affect exhaustion. Both technostress and exhaustion have negative effects on academic performance. This study enriches social media literature by identifying a more comprehensive classification of social media-related overload among university students and investigating the exact mechanism of excessive social media use in educational environment

Electronic Markets in Emerging Markets

(First paragraph) Electronic markets and networked business is one of most challenging areas for industry and research communities. Electronic markets have evolved from the classic article on the Electronic market hypothesis published in Communications of the ACM in 1987 to the highly integrated and collaborative e-business such as Alibaba (Malone et al. 1987;Wangetal. 2008). This evolution has reshaped the ways of doing business and supply chain networks (Peruzzini and Stjepandić 2018). In last two decades, we have seen how novel and dynamic electronic markets applications have been bringing about a variety of new developments, new organizational forms and shapes in respective industries. In the last decade, one of the most fundamental trends is the emergence of markets such as China, India, Brazil, and Russia as drivers of global economic growth (Li 2013). The emerging markets account for more andmoreworld exports. Emerging markets including the emerging market country classifications have been defined in the literature (Atilgan et al. 2016). We believe that there are significant opportunities for improving our understanding of electronic markets in emerging economies, in ways that also advance theories of electronic markets and their impact on both developed and developing (emerging) economies

A 5.8 GHz DSRC Digitally Controlled CMOS RF-SoC Transceiver for China ETC

This paper presents a 5.8 GHz dedicated short range communication (DSRC) CMOS RF-SoC transceiver with digitally controlled RF architecture for China electronic toll collection (ETC) system. The operation of key RF blocks, such as ASK modulator, power amplifier, LNA, and mixer, are directly controlled by digital baseband. Compared with state-of-the-art designs in literature, this work demonstrates remarkable advantages in design simplicity, Tx output peak power, adjacent channel power ratio (ACPR), dynamic range, occupied bandwidth (OBW), bit error rate (BER), and so on

Measuring the performance of Internet companies using a two-stage data envelopment analysis model

In exploring the business operation of Internet companies, few researchers have used data envelopment analysis (DEA) to evaluate their performance. Since the Internet companies have a two-stage production process: marketability and profitability, this study employs a relational two-stage DEA model to assess the efficiency of the 40 dot com firms. The results show that our model performs better in measuring efficiency, and is able to discriminate the causes of inefficiency, thus helping business management to be more effective through providing more guidance to business performance improvement

Performance-Based Design of a Main Exhibition Hall and Its Ecological Connectivity with Surroundings

This study aims to verify which the performance-based design was successfully applied in the construction of the main exhibition hall of the first Hebei Garden Expo, China. Based on the idea of “equality and connectivity” among humans, buildings, and the environment, the exhibition hall was designed using digital shape generation technology, and a special double-skin structure was selected. A bright exterior glass curtain wall separated from the cell-shaped reinforced concrete (RC) structure, not only made the exhibition hall fit into the scenery so well, but also presented an adhesion area with functional links to the RC structure. Joints of the steel tubular truss and the glass curtain wall were optimally designed by means of finite element simulations. During the service of more than a decade, extension of space, function of interactivity, and energy conservation required for a green infrastructure were achieved, highlighting the ecological connectivity of the exhibition hall with the surrounding landscape. The exhibition hall performed synergy of structure and architecture functions and it is still a landmark building in Shijiazhuang, showing an excellent application achievement of the performance-based design

UNDERSTANDING USER’S SUSTAINED PARTICIPATION IN SOCIAL RESEARCH NETWORK SITES

Recently, a new form of social network site focusing on researchers has emerged and attracted worldwide users. In addition to basic functionalities of SNSs, social research network sites (SRNS) combine multiple research-specific tools, such as knowledge management tools, citation management, and paper recommendation engines, supporting researchers to collaboratively structure, coordinate and conduct their work online. However, scholars are not interested in social networking as an end in itself, they networks to enhance productivity. The turnover rate of users remains a great challenge for the viability of SRNS. Therefore, exploring the determinants that impact members’ continued participation behavior in SRNS is critical to both scholars and practitioners. From the perspective of group commitment, we attempt to address the following two questions. First, what factors would cultivate different forms of commitment of members to a virtual group. Second, how would these different forms of commitment impact members’ continuance intention in SRNS. Based on the target-behavior commitment model, we proposed the preliminary model for understanding continued knowledge sharing (from contributing and seeking perspectives) in SRNS. The expected contribution of this study is discussed

The impact of technology attractiveness on impulsive purchase behavior in social commerce

The development of social media has facilitated a new type of electronic commerce, called social commerce. Evidence from academic literature and industrial statistic indicates that users’ impulsive purchase behavior may lead to considerable economic benefit for the social commerce platform, yet relatively few scholars focus on this topic in the social commerce context. Drawing upon the technology attractiveness framework, the present study proposes a research model that explains how different dimensions of attractiveness influence users’ flow experience and positive affect, which ultimately induce their actual impulsive purchase behavior. To verify these associated hypotheses, we conduct a two-stage online survey. Users in China who have usage experience on social commerce platforms will be surveyed to test our proposed model. The research design and expected implications will be discussed

Optimal decision in MC supply chain with overconfident retailer based on the newsvendor model

In this paper, we analyze the optimal order-quantity decisions in a supply chain with mass customization (MC) manufacturer and overconfident retailers. First, we consider a newsvendor model in which an unbiased retailer sells mass customized products. The retailer needs to make order quantity decisions before the selling season. Meanwhile, the supplier is a mass customization manufacturer and implements modular production. The supply process is uncertain, as the real quantity the retailer received is the order quantity multiplied by a random yield rate. Second, two overconfident models are considered and theorems are proposed. In the first model, the behavioral bias of overconfidence only affects the retailer’s judgment of variance of market demand. In the second model, the behavior bias of overconfidence affects not only the retailer’s cognition of the variance of market demand, but also his cognition of the expectation of market demand. In addition, the relationship between the optimal decisions and the modularity level is obtained. Finally, we provide managerial insights for the decision makers of the retailers and the manufacturers on order quantity and modularity level, respectively

Preparation and Properties of Toluene-Diisocyanate-Trimer-Modified Epoxy Resin

In this paper, a novel modified epoxy resin with an interpenetrating network structure for use as a grouting material with high toughness was prepared by a method of graft copolymerization between polyurethane prepolymer (PUP) trimer and epoxy resin (E-44). Polyurethane prepolymer was synthesized using poly(propylene glycol) (PPG) and 2,4-toluene diisocyanate trimer (TDIT) at 70 °C for 3 h. The graft copolymer was prepared by grafting polyurethane prepolymer onto the side chain of epoxy resin at 110 °C. The mechanical properties, fracture surface morphology, chemical structure, thermal properties, and corrosion resistance of the modified epoxy resin curing products were studied. Due to the beneficial flexible segments and the interpenetrating network structure, the results show that when the ratio of epoxy resin to polyurethane prepolymer is 10:2, the optimum mechanical properties are obtained; these include a compressive resistance of 184.8 MPa, impact property of 76.6 kJ/m2, and elongation at break of 31.5%. At the same time, the modified epoxy resin curing product also has excellent heat and corrosion resistance. This work provides a new method for the study of epoxy resins with high performance

Finding an expert: a model recommendation system

With the rapid proliferation of information technology, the increasing amount of information available has posted significant challenges on relevant information discovery for the users. An alternative way is to find an expert with specific expertise. Expert recommendation is important in variety of contexts ranging from industry to academia. Information retrieval methods or graph-based methods have been proposed to approach this problem in previous research while some important contextual factors are ignored. In this paper, considering the factors of topic relevance, expert quality, and researcher connectivity, we propose a novel researcher modeling approach to recommend experts in scientific communities. The proposed method has been implemented in ScholarMate (www.scholarmate.com), an online research social network platform. The preliminary experiment is conducted and the evaluation results exhibit that the proposed method is more effective than baseline methods