The Impact of Social Constructs on Continuance Intention in Online Auction: Community Prespective VS Transaction Perspective

This study analyzes social constructs from different types of actor behavior (i.e. transaction-oriented and community-oriented) to understand the influencing factors of their intention to use with online auction. We introduce social influence process and social capital theory to conceptualize research model, and a survey-based study was conducted. The simultaneous analysis of several groups was applied to test the research hypotheses. Our results verified that varied social constructs promote continuance intention for different types of online auction behavior, which are believed to contribute to the online auction development and management. We also conclude with a consideration of academic implication of the findings

A Study of MIS Scholar Community Development via a Collaboration Network Structures Analysis

The objective of this study is to apply collaborative networks to understanding the development process of the Management Information System (MIS) journals’ knowledge community. This research explores four phenomena: whether a co-author network depends on star collaborators, whether this network is a small world, the structural cohesion within the co-author network, and central scholars. We found that the MIS community has a small-world structure and high structural cohesion, so the MIS network is a dense cluster. Another finding was that a small number of researchers receive disproportionate recognition in MIS communities, indicating the presence of preferential attachment. This means that the MIS network contains clear star authors. Furthermore, we infer how a structural network affects knowledge diffusion and information diffusion. In addition, this study discusses changes in each journal’s central scholars to observe patterns of publication for each journal published by a private for-profit organization or sponsored by academic societies

E-Mail as a Decision Tool for Asynchronous Group

E-mail is an indispensable communication tool in the modern enterprise organizes. E-mail is also so prominent for these teams that they communicate via e-mail daily, and is the main media for asynchronous meetings. This study explores the suitability of using e-mail to support group decision making. In order to reduce the communication obstacle which the group may encounter while using the asynchronous communication of E-mail, this study proposes two group techniques suitable for E-mail–Nominal Group Technique (NGT) and Round-Robin NGT. This study also explores the effectiveness of E-mail-mediated group supported by the structured group techniques and which type of task suitable for E-mail-mediated group. An experiment involving a total of 150 undergraduates was conducted. Results show that group techniques used in this study appears to be useful for facilitating E-mail-mediated group. But task type had no significant influence on E-mail-mediated group

Exposure of the Hidden Anti-Ferromagnetism in Paramagnetic CdSe:Mn Nanocrystals

We present theoretical and experimental investigations of the magnetism of paramagnetic semiconductor CdSe:Mn nanocrystals and propose an efficient approach to the exposure and analysis of the underlying anti-ferromagnetic interactions between magnetic ions therein. A key advance made here is the build-up of an analysis method with the exploitation of group theory technique that allows us to distinguish the anti-ferromagnetic interactions between aggregative Mn2+ ions from the overall pronounced paramagnetism of magnetic ion doped semiconductor nanocrystals. By using the method, we clearly reveal and identify the signatures of anti-ferromagnetism from the measured temperature dependent magnetisms, and furthermore determine the average number of Mn2+ ions and the fraction of aggregative ones in the measured CdSe:Mn nanocrystals.Comment: 26 pages, 5 figure

Seeing Humans in the Data: Ethical Blind Spots of Taiwan Academic Researchers in the Era of Behavioral Big Data

The advent of Behavioral Big Data (BBD) has profoundly impacted research ethics. At the same time, academic disciplines with no experience in human subjects research increasingly make use of BBD datasets. In this first-of-its-kind study, we evaluate Taiwan academic researchers’ knowledge and awareness of data ethics using a series of four BBD-based hypothetical research scenarios. We uncover several data ethics blind spots affecting academic researchers. Through the results of this research we hope to strengthen academic researchers’ data ethics awareness and knowledge in the context of BBD, and provide suggestions for improving the ethics training of academic researchers conducting BBD studies. We also contribute a re-conceptualization of data ethics encompassing both traditional human subjects research ethics and new paradigms for the regulation of personal data, such as the General Data Protection Regulation (GDPR)

Knowing who to know in Knowledge Sharing Communities: A Social Network Analysis Approach

Information stored in online communities consist not only knowledge contents, but also the information of knowledge providers and searchers‟ connective relationships, and network structures. Online Communities provide effective platforms for interaction and play pivotal roles in making provision for the basis of analysis as all the ask-response paired relationships are automatically recorded. This paper demonstrates how to apply social network analysis to analyze the interaction data for generating the “role information” of the knowledge searchers and providers. Integrating concepts of uncertainty in knowledge searching and sociometric used in social network analysis, we develop a mechanism for role matching in knowledge search for each questions posed. Roles identified in this approach including central, network entrepreneur (e.g. spanning structural holes), neighboring mediate (e.g. knowledge gate keeper), and resource competitor (e.g. structural equivalent players). The result is demonstrated and visualized in a web-based community platform and tested in a real-world programmer forum-based community

ESFuelCell2011-54069 PERFORMANCE STUDY OF A BI-CELL PIEZOELECTRIC PROTON EXCHANGE MEMBRANE FUEL CELL WITH A NOZZLE AND DIFFUSER

ABSTRACT Previous studies of a bi-cell piezoelectric proton exchange membrane fuel cell with a nozzle and diffuser (PZT-PEMFC-ND bi-cell) have shown that the performance of the PZT-PEMFC-ND bi-cell could be 1.6 times greater than that of the single cell when the proper aspect ratio (AR) of 11.25 and the diffuser angle of 5° are applied to the diffuser. In this study, the novel pseudo-bipolar bi-cell module was designated parallel with an 8 cm 2 reaction area, an AR of 5.63, and a diffuser angle 10°. The bi-cell module was operated under various operating conditions, including different operating temperatures, bi-cell circuit and intake module on anode, the performance of the bi-cell and the two component cells, and to optimize the integrated system output. The pump performance of the PZT-PEMFC-ND may be influenced by the asymmetric amplitude of the PZT device. The asymmetric amplitude results in different air flow rates through the cathode chamber of the component cells and in different current outputs for the component cells. For the different intake modules, the power of bi-cells at flow parallel and series will produce maximum power as 0.283 W cm -2 and 0.263 W cm -2 , respectively. The power consumption of the PZT device should be taken into consideration when determining the net power of the PZT-PEMFC-ND bi-cell. In this study, the maximum net power of the bi-cell was found to be 0.7W