Building Trust and Cooperation through Technology Adaptation in Virtual Teams: Empirical Field Evidence

Abstract

This article reports findings of a study of how leaders of virtual information systems development teams improve team trust and cooperation by managing adaptation of information and communications tools. Results indicate how Theory X (command and control) and Theory Y (facilitate and support) styles of leadership enable and hinder effective outcomes.     

The Buck Stops Where?

SUMMARY

University students-whether adult, distance learner, or traditional age-need access to university services and quick accurate answers to their questions beyond traditional “business” hours. Students' busy schedules and changing life patterns dictate that university services meet their needs. At DePaul University in Chicago, student focus groups repeatedly pointed to the need for one central place to get an answer or solve a problem. DePaul Central was created as an information and referral service to satisfy that student need, at the same capitalizing on the value of the librarian skill set.     

Research Partners,Teaching Partners: A Collaboration between FYC Faculty and Librarians to Study Students’ Research and Writing Habits

In Spring 2012, instruction librarians collaborated with first year composition (FYC) faculty to study students’ research habits as they related to writing. We collected process narratives from students in the introductory FYC course at the beginning and end of the fall semester, and a group of librarians and FYC faculty coded them together. Although we did not achieve one of our initial research goals, we still gained valuable insight into how our students perceive sources and the research process. We applied what we learned to create new instructional materials and developed a valuable relationship with FYC faculty.     

A Proposal for Implementing Multi-User Data Base (MUD) Technology in and Academic Library

Multi-user Data base (MUD) technology, and its object-oriented descendant (MOO), is one of the most exciting tools to surface on the Internet, and offers libraries and librarians a unique opportunity to participate in creating user-friendly standardized interfaces to many of our most frequently used resources. These resources include those we access through the Internet already, using gopher, telnet, WWW, and FTP, and also those proprietary databases that we currently access through leased lines such as OCLC First Search, Prism, DIALOG, and many others. MOO technology is already being used successfully to create user-extensible collaborative professional environments for educators, astronomers, and computer network systems administrators. With the growing relevance of the Internet for libraries and other information professionals, it behooves the library community to engage those emerging technologies which will aloow us to interface most effectively with the Internet and its many resources, with the proprietary databases which we depend on, and with one another.     

More of the Same? Understanding Transformation in Tablet-based Academic Library Instruction

Academic librarians have shared their experiences with tablet computers, but few examine how librarians use tablets in their instruction design. While the education literature provides technology integration models, the nature of library instruction requires adapting these models to the library classroom. After reviewing literature related to tablets in library instruction and a number of technology integration frameworks, this article demonstrates an application of the Substitution, Augmentation, Modification, Redefinition framework to analyze observations of an iPad-equipped classroom at a university library. Demonstrating this use of a framework provides an approach to technology integration and continues the discussion about tablets’ potential to promote innovative pedagogy.     

EDITORIAL

The process undertaken by an information seeker, in order to form relevance decisions regarding documents, is defined as “Document Triage.” To better facilitate users’ needs in their triage activities, interactive interfaces have begun to evolve within on-line academic repositories. In order to complement current work on interface design and interaction, and produce custom guidelines to inform the creation of triage interfaces, we examine how interfaces that alter the document presentation and structure affect information seekers’ visual and navigational attention. We present a set of heuristics for both creating and evaluating such interfaces.     

杭州市清泰水厂膜处理自控系统方案比选

结合杭州市清泰水厂净水技术改造工程,介绍了膜处理自控系统的特点和要求,就三个膜处理自控系统方案进行了分析和总结。通过对比,选用了方案三,该方案实现了每一膜组的冗余热备控制,较好地达到了设计要求,可靠性高。     

塑料管材自动切割系统中定长切割和接口增厚功能的实现

塑料管材自动切割系统以AT89S52单片机为控制核心,通过DA转换输出对牵引机速度进行控制,实现管材定长切割和切割位置增厚操作。增厚操作有利于管材在扩口时达到规定的厚度,保证管材加工的质量。     

军队医院网络信息系统的安全分析

随着网络技术在医院的应用,其安全性日益受到重视。首先结合军队医院信息系统网络应用的特点,从硬件系统、软件系统、环境因素、人为因素等方面分析该网络系统的安全性;最后研究该网络系统安全可能造成的威胁,并提出安全应对措施。     

Locally linear discriminant embedding: An efficient method for face recognition

In this paper an efficient feature extraction method named as locally linear discriminant embedding (LLDE) is proposed for face recognition. It is well known that a point can be linearly reconstructed by its neighbors and the reconstruction weights are under the sum-to-one constraint in the classical locally linear embedding (LLE). So the constrained weights obey an important symmetry: for any particular data point, they are invariant to rotations, rescalings and translations. The latter two are introduced to the proposed method to strengthen the classification ability of the original LLE. The data with different class labels are translated by the corresponding vectors and those belonging to the same class are translated by the same vector. In order to cluster the data with the same label closer, they are also rescaled to some extent. So after translation and rescaling, the discriminability of the data will be improved significantly. The proposed method is compared with some related feature extraction methods such as maximum margin criterion (MMC), as well as other supervised manifold learning-based approaches, for example ensemble unified LLE and linear discriminant analysis (En-ULLELDA), locally linear discriminant analysis (LLDA). Experimental results on Yale and CMU PIE face databases convince us that the proposed method provides a better representation of the class information and obtains much higher recognition accuracies.