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Open Access
Article
Publication date: 13 October 2022

David Kocsis and Jason Xiong

Information and communication technology (ICT) has the potential to address and reduce income inequality. However, since 1980, income inequality in the United States has caused…

Abstract

Purpose

Information and communication technology (ICT) has the potential to address and reduce income inequality. However, since 1980, income inequality in the United States has caused concerns for researchers, policymakers and the public. Entrepreneurs and managers can take advantage of information technologies, while those in the middle and the bottom see fewer benefits. Meanwhile, countries such as Iceland are more capable of using ICT infrastructure to reduce income inequality, which contributes to the well-being of its citizens. This research study explores the relationship between infrastructure diffusion and income inequality through Rogers’s diffusion of innovations theory.

Design/methodology/approach

To answer the research questions, the author assessed the data through a series of regression analyses using SPSS. The authors used Power BI software to chart the relationships between ICT infrastructure diffusion and income inequality by country and in the United States by state and region.

Findings

The results show diffusion of innovations theory’s tenets do not necessarily hold, because a significant negative relationship exists between infrastructure diffusion and income inequality, especially in countries with emerging economies. In the United States, this relationship significantly differs by region.

Originality/value

This research contributes to research by expanding economic and sociology work to the IS domain, while providing conflicting evidence for diffusion of innovations theory. The research also provides suggestions for practice, such as more focused ICT infrastructure investments and regulations.

Content available
Article
Publication date: 30 March 2012

327

Abstract

Details

Library Hi Tech News, vol. 29 no. 2
Type: Research Article
ISSN: 0741-9058

Content available
Book part
Publication date: 30 November 2018

Abstract

Details

The M in CITAMS@30
Type: Book
ISBN: 978-1-78769-669-3

Content available
Book part
Publication date: 27 November 2018

Abstract

Details

Networks, Hacking, and Media – CITA MS@30: Now and Then and Tomorrow
Type: Book
ISBN: 978-1-78769-666-2

Open Access
Article
Publication date: 21 March 2023

Viola Deutscher and Anke Braunstein

This study aims to support researchers and practitioners in finding suitable instruments for future research studies and organizational quality assessments.

2345

Abstract

Purpose

This study aims to support researchers and practitioners in finding suitable instruments for future research studies and organizational quality assessments.

Design/methodology/approach

Employees’ success of learning at work is strongly influenced by the quality of the workplace learning environment. In the recent decades growing effort has been given to the development of surveys to measure the quality of workplace learning, resulting in a large number of available survey instruments. This study conceptually draws on a 3-P model and uses a qualitative metasynthesis to collect and categorize n = 94 surveys that intend to measure the quality of workplace learning (WPL).

Findings

The results underline that research on WPL environments is a highly interdisciplinary endeavor, where every discipline enriches the field by a new perspective and own foci. Overall, this study finds a focus on learning culture and working conditions, on social and functional inclusion of the learner and on support and feedback during training. Products of WPL such as professional competences or career aspirations play a minor role.

Originality/value

With the integration of quality measurement instruments from various research studies, this study produces an interactive online instrument map that gives a broad, yet organized overview of available quality measures in the WPL field.

Details

Journal of Workplace Learning, vol. 35 no. 9
Type: Research Article
ISSN: 1366-5626

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