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Research and Information Literacy
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2017
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Managers have tried various strategies and perks to boost employee engagement—all with little impact on long-term retention and performance. But now, neuroscience offers some answers. Through his research on the brain chemical oxytocin—shown to facilitate collaboration and teamwork—Zak has developed a framework for creating a culture of trust and building a happier, more loyal, and more productive workforce.
By measuring people’s oxytocin levels in response to various situations—first in the lab and later in the workplace—Zak identified eight key management behaviors that stimulate oxytocin production and generate trust: (1) Recognize excellence. (2) Induce “challenge stress.” (3) Give people discretion in how they do their work. (4) Enable job crafting. (5) Share information broadly. (6) Intentionally build relationships. (7) Facilitate whole-person growth. (8) Show vulnerability.
Ultimately, Zak concludes, managers can cultivate trust by setting a clear direction, giving people what they need to see it through, and then getting out of their way. In short, to boost engagement, treat people like responsible adults.
- Keywords:
- Personnel management Corporate culture Employee motivation Trust
- Resource Type:
- Others
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e-book
The web gives us many such strategies and tactics and tools, which, properly used, can get students closer to the truth of a statement or image within seconds. For some reason we have decided not to teach students these specific techniques. As many people have noted, the web is both the largest propaganda machine ever created and the most amazing fact-checking tool ever invented. But if we haven't taught our students those capabilities is it any surprise that propaganda is winning? This is an unabashedly practical guide for the student fact-checker. It supplements generic information literacy with the specific web-based techniques that can get you closer to the truth on the web more quickly.
- Keywords:
- Internet literacy Textbooks
- Resource Type:
- e-book
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e-book
This is the story of a web-based information system rebuild. The system in question is www.teachengineering.org, a digital library of K-12 engineering curriculum that was built from the ground up with established technology and which for 13 years enjoyed lasting support from its growing user community and its sponsors. These 13 years, however, cover the period during which smart phones and tablets became commonplace, during which the Internet of Things started replacing the Semantic Web, during which NoSQL databases made their way out of the research labs and into everyday development shops, during which we collectively started moving IT functions and services into ‘the cloud,’ and during which computing performance doubled a few times, yet again. During this same period, TeachEngineering’s user base grew from a few hundred to more than 3 million users annually, its collection size quadrupled, it went through several user interface renewals, and significant functionality was added while having an exemplary service record, and it enjoyed continued financial support from its sponsors. In this monograph we provide a side-by-side of this rebuild. We lay out the choices made in the old architecture —we refer to it as TE 1.0— and compare and contrast them with the choices made for TE 2.0. We explain why both the 1.0 and 2.0 choices were made and discuss the advantages and disadvantages associated with them.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Textbooks Web site development Web sites -- Design
- Resource Type:
- e-book
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Others
The data presented in this article are related to the research article entitled: “Information Strategies for Energy Conservation: A Field Experiment in India” (Victor L. Chen, Magali A. Delmas, Stephen L. Locke, Amarjeet Singh, 2017).The availability of high-resolution electricity data offers benefits to both utilities and consumers to understand the dynamics of energy consumption for example, between billing periods or times of peak demand. However, few public datasets with high-temporal resolution have been available to researchers on electricity use, especially at the appliance-level. In this article, we describe data collected in a residential field experiment for 19 apartments at an Indian faculty housing complex during the period from August 1, 2013 to May 12, 2014. The dataset includes detailed information about electricity consumption. It also includes information on apartment characteristics and hourly weather variation to enable further studies of energy performance. These data can be used by researchers as training datasets to evaluate electricity usage consumption.
- Subjects:
- Electrical Engineering
- Keywords:
- India Electric power -- Conservation Electric power consumption
- Resource Type:
- Others