Information Flow to Front-line Employees

This research is a case study within a large bureaucracy; the physical plant operations of a Tier-one university in the United States. The organization of study received low scores for internal communication in their all-employee surveys in 2012 and 2014 and was cited for “lack of information flow to front-line employees” in a peer audit conducted in 2011. Root causes for these deficiencies are investigated through (1) Activity Theory analysis, (2) Leader-Member Exchange Theory and (3) linear regression analysis of all-employee survey data. No formal initiatives addressing internal communications had been initiated when this study was launched so the research was used to identify areas for improvement within the organization.Human Dimensions of Organization

Examining Mobile Technology in Higher Education: Handheld Devices In and Out of the Classroom

This study followed an innovative introduction of mobile technology (i.e., BlackBerry® devices) to a graduate level business program and documented students’ use of the technology from the time students received the devices to the end of their first term of study. Students found the BlackBerry® device easy to use, and were optimistic regarding its potential role as an instructional tool. Students were self-directed in their use of the devices and found ways to use them within and outside of their classroom even when specific uses were not provided by instructors. Students used their devices most frequently for communication purposes outside the classroom through applications such as BlackBerry Messenger. Overall, although supporting a modest positive view toward this initial introduction to mobile technology as a learning tool, classroom instructional use was more limited than student-directed use in and outside the classroom. A comprehensive examination of the instructional pedagogy that best supports the potential of mobile technology as a self-directed learning tool is necessary to address the limitations seen in this implementation

Corruption and Inequality as Correlates of Social Trust: Fairness Matters More Than Similarity

Argued is that the fairness of a society affects its level of social trust more than does its homogeneity. Societies with fair procedural rules (democracy), fair administration of rules (freedom from corruption), and fair (relatively equal and unskewed) income distribution produce incentives for trustworthy behavior, develop norms of trustworthiness, and enhance interpersonal trust. Based on a multi-level analysis using the World Values Surveys data that cover 80 countries, I find that (1) freedom from corruption, income equality, and mature democracy are positively associated with trust, while ethnic diversity loses significance once these factors are accounted for; (2) corruption and inequality have an adverse impact on norms and perceptions of trustworthiness; (3) the negative effect of inequality on trust is due to the skewness of income rather than its simple heterogeneity; and (4) the negative effect of minority status is greater in more unequal and undemocratic countries, consistent with the fairness explanation.This publication is Hauser Center Working Paper No. 29. The Hauser Center Working Paper Series was launched during the summer of 2000. The Series enables the Hauser Center to share with a broad audience important works-in-progress written by Hauser Center scholars and researchers

Source control SUDS strategic directions

Background to researchThe uptake or transition from traditional drainage to sustainable drainage (SUDS) in Scotland has happened in a relatively short timescale (less than fifteen years) with site and regional control drainage structures such as ponds and basins now considered ‘business as usual’. This rapid transition to SUDS has been facilitated by a stakeholder platform called the Sustainable Urban Drainage Scottish Working Party (SUDSWP) which has promoted their use since 1997. This has subsequently led to Scotland being regarded as a frontrunner in SUDS implementation in the UK. However the uptake of source control as part of a stormwater treatment train is less routine than expected. With the aforementioned in mind, this Phase Three Report seeks to answer the question ‘How can the national uptake of source control be encouraged and influenced by the SUDS Working Party and whether they should recast their remit’? Objectives of research Phase One of this research looked at the background to the evolution of source control in Scotland providing preliminary insight into the enabling factors and obstacles for uptake of the systems since inception in the mid 1990’s. Phase Two appraised source control delivery on a global scale providing insight to enabling factors out with Scotland and appraising current delivery in Scotland by responsible organisations. The transition pathway from traditional drainage to source control SUDS was mapped out to highlight what the key enabling (and disabling) factors were to realise the transition to date. This phase of the research, Phase Three defines the next steps including comment on optimal source control and further considerations and recommendations. This involved analysis and consolidation of the findings from Phases one and two, a workshop delivered to SUDSWP and two surveys delivered online and via telephone interviews with professionals involved in source control SUDS. These findings are used to define barriers and opportunities to inform the development of a strategy to support and encourage implementation of source control within SUDSWP remit.Key findings and recommendationsKey findings and recommendations for the SUDS Working Party are grouped according to transition management cluster activities:* Transition Arena: Strengthen links with internal members and external stakeholders who have a stake in source control SUDS and develop an integrated long-term vision.* Transition Agenda: Develop a shared strategic plan which considers aligning agendas with other infrastructure initiatives and enforcement / inspection policies to ensure cost effective, fit for purpose measures particularly in the areas of unit plot, local streets and regeneration areas.* Transition Experiments / case studies: Encourage research partnerships to validate techniques in the source control toolkit not yet applied in Scotland and showcase case studies.* Transition Monitoring / evaluation: undertake a baseline assessment to gauge source control uptake and performance, revise existing guidance and encourage capacity building programmes.<br/

The Puzzle of Heterogeneity in Support for Free Trade

Over time and across countries, researchers have noted frequent and mostly unexplained gender differences in the levels of support for policies of free or freer trade: according to aggregate results from many surveys, women tend to be less favorable toward policies of liberalizing trade than men. Positing an economic security explanation based largely on a mobile factors approach, we ask if it is women generally who are more negative toward trade or rather women who are more economically vulnerable – i.e., women from the scarce labor factor. We utilize data from two recent surveys on individuals’ attitudes toward different facets of trade and its effects to examine this hypothesis empirically. Rejecting a monolithic definition of “women,” we find that disaggregating by education level illuminates to some extent what underlying characteristics might be helping to drive some of these findings. Lower-skilled women in the US are much less likely to support free trade compared to higher-skilled women and this may largely explain previous negative findings. The low versus high-skill dynamic is, however, much less clear in the findings using survey data from a small sample of developing countries

Unknowns and unknown unknowns: from dark sky to dark matter and dark energy

Answering well-known fundamental questions is usually regarded as the major goal of science. Discovery of other unknown and fundamental questions is, however, even more important. Recognition that "we didn't know anything" is the basic scientific driver for the next generation. Cosmology indeed enjoys such an exciting epoch. What is the composition of our universe? This is one of the well-known fundamental questions that philosophers, astronomers and physicists have tried to answer for centuries. Around the end of the last century, cosmologists finally recognized that "We didn't know anything". Except for atoms that comprise slightly less than 5% of the universe, our universe is apparently dominated by unknown components; 23% is the known unknown (dark matter), and 72% is the unknown unknown (dark energy). In the course of answering a known fundamental question, we have discovered an unknown, even more fundamental, question: "What is dark matter? What is dark energy?" There are a variety of realistic particle physics models for dark matter, and its experimental detection may be within reach. On the other hand, it is fair to say that there is no widely accepted theoretical framework to describe the nature of dark energy. This is exactly why astronomical observations will play a key role in unveiling its nature. I will review our current understanding of the "dark sky", and then present on-going Japanese project, SuMIRe, to discover even more unexpected questions.Comment: 11 pages, 7 figures, to appear in the proceedings of SPIE Astronomical Instrumentation "Observational frontiesr of astronomy for the new decade", based on a plenary talk on June 28, 201

Muslim Publics Divided on Hamas and Hezbollah

Presents results of a spring 2010 Pew Global Attitudes Project survey conducted in Egypt, Indonesia, Jordan, Lebanon, Nigeria, Pakistan, and Turkey on views of Hamas, Hezbollah, and al Qaeda and the role of Islam in politics by respondent's religion

Deep Learning based Recommender System: A Survey and New Perspectives

With the ever-growing volume of online information, recommender systems have been an effective strategy to overcome such information overload. The utility of recommender systems cannot be overstated, given its widespread adoption in many web applications, along with its potential impact to ameliorate many problems related to over-choice. In recent years, deep learning has garnered considerable interest in many research fields such as computer vision and natural language processing, owing not only to stellar performance but also the attractive property of learning feature representations from scratch. The influence of deep learning is also pervasive, recently demonstrating its effectiveness when applied to information retrieval and recommender systems research. Evidently, the field of deep learning in recommender system is flourishing. This article aims to provide a comprehensive review of recent research efforts on deep learning based recommender systems. More concretely, we provide and devise a taxonomy of deep learning based recommendation models, along with providing a comprehensive summary of the state-of-the-art. Finally, we expand on current trends and provide new perspectives pertaining to this new exciting development of the field.Comment: The paper has been accepted by ACM Computing Surveys. https://doi.acm.org/10.1145/328502

Rural environmental concern: Effects of position, partisanship and place

The social bases of environmental concern in rural America resemble those for the nation as a whole, but also reflect the influence of place. Some general place characteristics, such as rates of population growth or resource-industry employment, predict responses across a number of environmental issues. Other unique or distinctive aspects of local society and environment matter as well. We extend earlier work on both kinds of place effects, first by analyzing survey data from northeast Oregon. Results emphasize that “environmental concern” has several dimensions. Second, we contextualize the Oregon results using surveys from other regions. Analysis of an integrated dataset (up to 12,000 interviews in 38 U.S. counties) shows effects from respondent characteristics and political views, and from county rates of population growth and resource-based employment. There also are significant place-to-place variations that are not explained by variables in the models. To understand some of these we return to the local scale. In northeast Oregon, residents describe how perceptions of fire danger from unmanaged forest lands shape their response to the word conservation. Their local interpretation contrasts with more general and urban connotations of this term, underlining the importance of place for understanding rural environmental concern