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1 – 10 of 242With pay transparency (PT) as an emerging trend in organizations around the world and the European Union promoting open pay regulations, PT is of increasing interest to…
Abstract
Purpose
With pay transparency (PT) as an emerging trend in organizations around the world and the European Union promoting open pay regulations, PT is of increasing interest to scientists, managers and policymakers. However, it is still unclear what people think about PT and what theoretical perspectives might explain people's views on transparent pay. Therefore, the purpose of this paper is to explore and systematize opinions about PT and to propose theoretical frameworks to understand different reactions to it.
Design/methodology/approach
Qualitative reflexive thematic analysis of the Internet debate that emerged in Poland in 2019 in response to the proposition of new law regulations aimed to improve PT by introducing obligatory pay ranges in job offers.
Findings
The author's analysis revealed a set of 41 specific and often opposite opinions about PT, which allow for the systematization of hopes and concerns related to PT around the 7 favorable and 6 unfavorable higher-order themes.
Social implications
The author's results might inform policymakers and managers about the possible risks and benefits of PT implementation. Revealed opposite opinions about PT raise awareness that PT policies, while solving some social problems, might simultaneously create others.
Originality/value
The author provides new insights into opinions that people hold about transparent pay based on real-world data. The author suggests theoretical perspectives for understanding and predicting reactions to PT, such as Hobfoll's Conservation of Resources Theory and Adam`s Equity Theory. Based on this, the authors propose that opposite opinions about PT might be explained by (a) perceived pay dispersion fairness and (b) perceived PT costs-benefits ratio.
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Antonio Iudici, Miriam Stefano and Davide Binato
This study aims to provide an overview of studies concerning bias in law, particularly in judges’ decisions. The authors intend to bring to light the factors that can most…
Abstract
Purpose
This study aims to provide an overview of studies concerning bias in law, particularly in judges’ decisions. The authors intend to bring to light the factors that can most frequently lead to unequal decisions to enable judges to better perform their function.
Design/methodology/approach
A literature review was used as a methodology based on studies involving judges and juries.
Findings
The evidence reported by this review suggests how difficult the judge’s job is and how they can be unconsciously influenced by inferences, deductions and biases. The results show that the pleasantness of the witness and the confidence they exhibit during testification are crucial factors in influencing the decisions of judges and jurors. From these studies, it can be assumed that different personal aspects – smiling, pleasantness and the witness’s credibility – can be positively associated with each other, which could compromise the ongoing evaluation. Gender is another factor that can influence evaluations; in fact, witnesses are evaluated based on their own “gender” as well as that of the jurors. Another essential factor is self-confidence. Also, the age of both of the judge and of the witness can be a factor that influences decisions in court. Other factors such as communication effectiveness, degree of accuracy of reported information and non-verbal behaviour were also found to be important.
Research limitations/implications
Among the limitations of this research, the authors have to consider the low number of available research and that the most of these derive from a specific cultural context – the American one. There may also be limits to the way in which certain concepts are used in different parts of the world, particularly through a very broad construct, such as the credibility of witness.
Practical implications
This study highlights which inferences and biases can characterise decision-making processes and, above all, highlights the need for specific training courses aimed at managing the many processes involved in influencing human decisions.
Social implications
The authors believe that this work can raise awareness about the series of unconscious reasoning that may happen in the legal field, which has a major impact on people’s lives and on the general perception of justice.
Originality/value
In this research, the authors have considered some of the criteria that may intervene in the evaluation of witnesses, those present in the current scientific literature. From the research, it seems appropriate and necessary to provide judges with adequate training aimed at the recognition of their cognitive processes and bias. In fact, when they were made aware of them, they were less affected by bias, resulting in more objective and limiting improper inferences.
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Louise Holly, Shannon Thom, Mohamed Elzemety, Beatrice Murage, Kirsten Mathieson and Maria Isabel Iñigo Petralanda
This paper introduces a new set of equity and rights-based principles for health data governance (HDG) and makes the case for their adoption into global, regional and national…
Abstract
Purpose
This paper introduces a new set of equity and rights-based principles for health data governance (HDG) and makes the case for their adoption into global, regional and national policy and practice.
Design/methodology/approach
This paper discusses the need for a unified approach to HDG that maximises the value of data for whole populations. It describes the unique process employed to develop a set of HDG principles. The paper highlights lessons learned from the principle development process and proposes steps to incorporate them into data governance policies and practice.
Findings
More than 200 individuals from 130 organisations contributed to the development of the HDG principles, which are clustered around three interconnected objectives of protecting people, promoting health value and prioritising equity. The principles build on existing norms and guidelines by bringing a human rights and equity lens to HDG.
Practical implications
The principles offer a strong vision for HDG that reaps the public good benefits of health data whilst safeguarding individual rights. They can be used by governments and other actors as a guide for the equitable collection and use of health data. The inclusive model used to develop the principles can be replicated to strengthen future data governance approaches.
Originality/value
The article describes the first bottom-up effort to develop a set of principles for HDG.
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Ramatu Abdulkadir, Dante Benjamin Matellini, Ian D. Jenkinson, Robyn Pyne and Trung Thanh Nguyen
This study aims to determine the factors and dynamic systems behaviour of essential medicine stockout in public health-care supply chains. The authors examine the constraints and…
Abstract
Purpose
This study aims to determine the factors and dynamic systems behaviour of essential medicine stockout in public health-care supply chains. The authors examine the constraints and effects of mental models on medicine stockout to develop a dynamic theory of medicine availability towards saving patients’ lives.
Design/methodology/approach
This study uses a mixed-method approach. Starting with a survey method, followed by in-depth interviews with stakeholders within five health-care supply chains to determine the dynamic feedback leading to stockout and conclude by developing a network mental model for medicines availability.
Findings
The authors identified five constraints and developed five case mental models. The authors develop a dynamic theory of medicine availability across cases and identify feedback loops and variables leading to medicine availability.
Research limitations/implications
The need to include mental models of stakeholders like manufacturers and distributors of medicines to understand the system completely. Group surveys are prone to power dynamics and bias from group thinking. This survey’s quantitative output could minimize the bias.
Originality/value
This study uniquely uses a mixed-method of survey method and in-depth interviews of experts to assess the essential medicine stockout in Nigeria. To improve medicine availability, the authors develop a dynamic network mental model to understand the system structure, feedback and behaviour driving stockouts. This research will benefit public policymakers and hospital managers in designing policies that reduce medicine stockout.
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Chris Zielinski, Kamran Abbasi, Parveen Ali, Virginia Barbour, Thomas Benfield, Kirsten Bibbins-Domingo, Stephen Hancocks, Richard Horton, Laurie Laybourn-Langton, Robert Mash, Peush Sahni, Wadeia Mohammad Sharief and Paul Yonga
Kerstin Sahlin and Ulla Eriksson-Zetterquist
Recent changes in university systems, debates on academic freedom, and changing roles of knowledge in society all point to questions regarding how higher education and research…
Abstract
Recent changes in university systems, debates on academic freedom, and changing roles of knowledge in society all point to questions regarding how higher education and research should be governed and the role of scientists and faculty in this. Rationalizations of systems of higher education and research have been accompanied by the questioning and erosion of faculty authority and challenges to academic collegiality. In light of these developments, we see a need for a more conceptually precise discussion about what academic collegiality is, how it is practiced, how collegial forms of governance may be supported or challenged by other forms of governance, and finally, why collegial governance of higher education and research is important.
We see collegiality as an institution of self-governance that includes formal rules and structures for decision-making, normative and cognitive underpinnings of identities and purposes, and specific practices. Studies of collegiality then, need to capture structures and rules as well as identities, norms, purposes and practices. Distinguishing between vertical and horizontal collegiality, we show how they balance and support each other.
Universities are subject to mixed modes of governance related to the many tasks and missions that higher education and research is expected to fulfill. Mixed modes of governance also stem from reforms based on widely held ideals of governance and organization. We examine university reforms and challenges to collegiality through the lenses of three ideal types of governance – collegiality, bureaucracy and enterprise – and combinations thereof.
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Miklesh Prasad Yadav, Shruti Ashok, Farhad Taghizadeh-Hesary, Deepika Dhingra, Nandita Mishra and Nidhi Malhotra
This paper aims to examine the comovement among green bonds, energy commodities and stock market to determine the advantages of adding green bonds to a diversified portfolio.
Abstract
Purpose
This paper aims to examine the comovement among green bonds, energy commodities and stock market to determine the advantages of adding green bonds to a diversified portfolio.
Design/methodology/approach
Generic 1 Natural Gas and Energy Select SPDR Fund are used as proxies to measure energy commodities, bonds index of S&P Dow Jones and Bloomberg Barclays MSCI are used to represent green bonds and the New York Stock Exchange is considered to measure the stock market. Granger causality test, wavelet analysis and network analysis are applied to daily price for the select markets from August 26, 2014, to March 30, 2021.
Findings
Results from the Granger causality test indicate no causality between any pair of variables, while cross wavelet transform and wavelet coherence analysis confirm strong coherence at a high scale during the pandemic, validating comovement among the three asset classes. In addition, network analysis further corroborates this connectedness, implying a strong association of the stock market with the energy commodity market.
Originality/value
This study offers new evidence of the temporal association among the US stock market, energy commodities and green bonds during the COVID-19 crisis. It presents a novel approach that measures and evaluates comovement among the constituent series, simultaneously using both wavelet and network analysis.
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