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Laurence Ferry, Henry Midgley and Stuart Green
The study explains why Parliamentarians in the United Kingdom (UK) focused on accountability through data during the COVID-19 pandemic, as well as on how data could be used to…
Abstract
Purpose
The study explains why Parliamentarians in the United Kingdom (UK) focused on accountability through data during the COVID-19 pandemic, as well as on how data could be used to improve the government’s response to the pandemic.
Design/methodology/approach
Understanding the implications of accountability for COVID-19 is crucial to understanding how governments should respond to future pandemics. This article provides an account of what a select committee in the UK thought were the essential elements of these accountability relationships. To do so, the authors use a neo-Roman concept of liberty to show how Parliamentary oversight of the pandemic for accountability was crucial to maintaining the liberty of citizens during the crisis and to identify what lessons need to be learnt for future crises.
Findings
The study shows that Parliamentarians were concerned that the UK government was not meeting its obligations to report openly about the COVID-19 pandemic to them. It shows that the government did make progress in reporting during the pandemic but further advancements need to be made in future for restrictions to be compatible with the protection of liberty.
Research limitations/implications
The study extends the concept of neo-Roman liberty showing how it is relevant in an emergency situation and provides an account of why accountability is necessary for the preservation of liberty when the government uses emergency powers.
Practical implications
Governments and Parliaments need to think about how they preserve liberty during crises through enhanced accountability mechanisms and the publication of data.
Originality/value
The study extends previous work on liberty and calculation, providing a theorisation of the role of numbers in the protection of liberty.
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Color psychology theory reveals that complex images with very varied palettes and many different colors are likely to be considered unattractive by individuals. Notwithstanding…
Abstract
Purpose
Color psychology theory reveals that complex images with very varied palettes and many different colors are likely to be considered unattractive by individuals. Notwithstanding, web content containing social signals may be more attractive via the initiation of a social connection. This research investigates a predictive model blending variables from these theoretical perspectives to determine crowdfunding success.
Design/methodology/approach
The research is based on data from 176,614 Kickstarter projects. A number of machine learning and artificial intelligence techniques were employed to analyze the listing images for color complexity and the presence of people, while specific language features, including socialness, were measured in the listing text. Logistic regression was applied, controlling for several additional variables and predictive model was developed.
Findings
The findings supported the color complexity and socialness effects on crowdfunding success. The model achieves notable predictive value explaining 56.4% of variance. Listing images containing fewer colors and that have more similar colors are more likely to be crowdfunded successfully. Listings that convey greater socialness have a greater likelihood of being funded.
Originality/value
This investigation contributes a unique understanding of the effect of features of both socialness and color complexity on the success of crowdfunding ventures. A second contribution comes from the process and methods employed in the study, which provides a clear blueprint for the processing of large-scale analysis of soft information (images and text) in order to use them as variables in the scientific testing of theory.
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Lapologang Sebaka and Shuliang Zhao
Synthesizing from the institutional theory and social network theory, this study investigates factors influencing green innovation performance in new ventures.
Abstract
Purpose
Synthesizing from the institutional theory and social network theory, this study investigates factors influencing green innovation performance in new ventures.
Design/methodology/approach
The findings show that the dimensions of internal social network; heterogeneous network and tie strength have significant positive effects on proactive environmental strategy based on a sample of 300 new ventures in China.
Findings
The results further support the mediating role of proactive environmental strategy on internal organizational networks and green innovation performance of new ventures. The study further investigated the moderating role of the regulatory quality as a dimension of institutional environment in China. The results show that the regulatory quality positively moderates the relationship between proactive environmental strategy and green innovation performance. Policy and managerial implications are further discussed.
Originality/value
Over the past 20 years, green innovation has increasingly attracted the attention of policymakers and scholars. However, most studies have focused on mature ventures, and little attention has been given to how newly established ventures attain green innovation performance.
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