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1 – 10 of over 6000Sue Ogilvy, Danny O'Brien, Rachel Lawrence and Mark Gardner
This paper aims to demonstrate methods that sustainability-conscious brands can use to include their primary producers in the measurement and reporting of the environment and…
Abstract
Purpose
This paper aims to demonstrate methods that sustainability-conscious brands can use to include their primary producers in the measurement and reporting of the environment and sustainability performance of their supply chains. It explores three questions: How can farm businesses provide information required in sustainability reporting? What are the challenges and opportunities experienced in preparing and presenting the information? What future research and policy instruments might be needed to resolve these issues.
Design/methodology/approach
This study identifies and describes methods to provide the farm-level information needed for environmental performance and sustainability reporting frameworks. It demonstrates them by compiling natural capital accounts and environmental performance information for two wool producers in the grassy woodland biome of Eastern Australia; the contrasting history and management of these producers would be expected to result in different environmental performances.
Findings
The authors demonstrated an approach to NC accounting that is suitable for including primary producers in environmental performance reporting of supply chains and that can communicate whether individual producers are sustaining, improving or degrading their NC. Measurements suitable for informing farm management and for the estimation of supply chain performance can simultaneously produce information useful for aggregation to regional and national assessments.
Practical implications
The methods used should assist sustainability-conscious supply chains to more accurately assess the environmental performance of their primary producers and to use these assessments in selective sourcing strategies to improve supply chain performance. Empirical measures of environmental performance and natural capital have the potential to enable evaluation of the effectiveness of sustainability accounting frameworks in inducing businesses to reduce their environmental impacts and improve the condition of the natural capital they depend on.
Social implications
Two significant social implications exist for the inclusion of primary producers in the sustainability and environmental performance reporting of supply chains. Firstly, it presently takes considerable time and expense for producers to prepare this information. Governments and members of the supply chain should acknowledge the value of this information to their organisations and consider sharing some of the cost of its preparation with primary producers. Secondly, the “additionality” requirement commonly present in existing frameworks may perversely exclude already high-performing producers from being recognised. The methods proposed in this paper provide a way to resolve this.
Originality/value
To the best of the authors’ knowledge, this research is the first to describe detailed methods of collecting data for natural capital accounting and environmental performance reporting for individual farms and the first to compile the information and present it in a manner coherent with the Kering EP&L and the UN SEEA EA. The authors believe that this will make a significant contribution to the development of fair and standardised ways of measuring individual farm performance and the performance of food, beverage and apparel supply chains.
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Erika Kalocsányiová and Ryan Essex
This study aims to compare the impact of Australian onshore and offshore immigration detention centres (IDCs) on detainees’ health and health-care events.
Abstract
Purpose
This study aims to compare the impact of Australian onshore and offshore immigration detention centres (IDCs) on detainees’ health and health-care events.
Design/methodology/approach
It uses data extracted from the Australian Government’s quarterly health reports from 2014 to 2017. These reports contain a range of data about the health and well-being of detainees, including complaints/presenting symptoms and number of appointments and hospitalisations. To compare onshore and offshore data sets, the authors calculated the rate of health events per quarter against the estimated quarterly onshore and offshore detention population. They ran a series of two-proportion z-tests for each matched quarter to calculate median z- and p-values for all quarters. These were used as an indicator as to whether the observed differences between onshore and offshore events were statistically significant.
Findings
The results suggest that adults detained onshore and offshore have substantial health needs, however, almost all rates were far higher in offshore detention, with people more likely to raise a health-related complaint, access health services and be prescribed medications, often at two to three times the rate of those onshore.
Originality/value
This paper adds to a modest body of literature that explains the health of people detained in Australian IDCs. To the best of the authors’ knowledge, this is the first paper to explore health service utilisation and a range of other variables found in the Australian Government’s quarterly health reports. These findings bolster the evidence which suggests that detention, and particularly offshore detention is particularly harmful to health.
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Miaoxian Guo, Shouheng Wei, Chentong Han, Wanliang Xia, Chao Luo and Zhijian Lin
Surface roughness has a serious impact on the fatigue strength, wear resistance and life of mechanical products. Realizing the evolution of surface quality through theoretical…
Abstract
Purpose
Surface roughness has a serious impact on the fatigue strength, wear resistance and life of mechanical products. Realizing the evolution of surface quality through theoretical modeling takes a lot of effort. To predict the surface roughness of milling processing, this paper aims to construct a neural network based on deep learning and data augmentation.
Design/methodology/approach
This study proposes a method consisting of three steps. Firstly, the machine tool multisource data acquisition platform is established, which combines sensor monitoring with machine tool communication to collect processing signals. Secondly, the feature parameters are extracted to reduce the interference and improve the model generalization ability. Thirdly, for different expectations, the parameters of the deep belief network (DBN) model are optimized by the tent-SSA algorithm to achieve more accurate roughness classification and regression prediction.
Findings
The adaptive synthetic sampling (ADASYN) algorithm can improve the classification prediction accuracy of DBN from 80.67% to 94.23%. After the DBN parameters were optimized by Tent-SSA, the roughness prediction accuracy was significantly improved. For the classification model, the prediction accuracy is improved by 5.77% based on ADASYN optimization. For regression models, different objective functions can be set according to production requirements, such as root-mean-square error (RMSE) or MaxAE, and the error is reduced by more than 40% compared to the original model.
Originality/value
A roughness prediction model based on multiple monitoring signals is proposed, which reduces the dependence on the acquisition of environmental variables and enhances the model's applicability. Furthermore, with the ADASYN algorithm, the Tent-SSA intelligent optimization algorithm is introduced to optimize the hyperparameters of the DBN model and improve the optimization performance.
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This study aims to identify and measure the lexical gap between the old and young generations in the Jizani dialect and determine the causes of that gap.
Abstract
Purpose
This study aims to identify and measure the lexical gap between the old and young generations in the Jizani dialect and determine the causes of that gap.
Design/methodology/approach
A 20-item questionnaire was distributed randomly among 104 participants. Next, 12 participants were selected and interviewed. SPSS software was used to analyse the quantitative data from the questionnaire. The data elicited from the interviews was qualitatively analysed, considering age and gender factors.
Findings
The major findings revealed that a lexical gap between old and young language speakers in the Jizani dialect exists. The gap between young females and the older generation was greater than that between young and old males. Some old words are likely to disappear in the coming decades. Social media, which is a time-consuming and word-borrowing medium for young people, was one of the reasons, besides the tendency of females to use prestigious words.
Originality/value
This study attempted to find the differences between the vocabularies of old and young speakers. If it does exist, is it significant? What are the reasons for this lexical gap? This will help other researchers and dialectologists register the old words before they die out and try to bridge that lexical gap.
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Teresa Fernandes and Rodrigo Oliveira
Social media has become an inescapable part of our lives. However, recent research suggests that excessive use of social media may lead to fatigue and users’ disengagement. This…
Abstract
Purpose
Social media has become an inescapable part of our lives. However, recent research suggests that excessive use of social media may lead to fatigue and users’ disengagement. This study aims to examine which brand-related factors contribute to social media fatigue (SMF) and its subsequent role on driving lurking behaviors, particularly among young consumers.
Design/methodology/approach
Based on survey data from 282 young users of social media, a holistic model of brand-related drivers and outcomes of SMF was tested, emphasizing the contribution of brands’ social media presence to users’ disengagement.
Findings
Research shows that branded content overload and irrelevance, as well as branded ads intrusiveness significantly impact SMF, which in turn plays a mediating role between brand-related drivers and lurking behaviors. The authors further conclude that the impact of SMF on lurking is stronger for users who follow a larger set of brands.
Originality/value
The study contributes to social media research by addressing its “dark side” and empirically validating the role of brands’ social media presence in developing young users’ fatigue and disengagement. The study further adds to the scant literature on SMF, which was mostly developed outside the branding field. Research also provides valuable insights to brands on how to improve their social media performance.
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Anna-Maija Multas and Noora Hirvonen
This study examines the information literacy practices of young video bloggers, focusing on the ways in which they construct their cognitive authority through a health-related…
Abstract
Purpose
This study examines the information literacy practices of young video bloggers, focusing on the ways in which they construct their cognitive authority through a health-related information creation process.
Design/methodology/approach
This study draws upon socially oriented information literacy research and nexus analysis as its methodological framework. Data, including YouTube videos, theme interviews and video diaries, were collected with three Finnish video bloggers and qualitatively analysed using nexus analytical concepts to describe the central elements of social action.
Findings
The study shows that video bloggers employ several information practices during the information creation process, including planning, information-seeking, organization, editing and presentation of information. They construct their cognitive authority in relation to their anticipated audience by grounding it on different types of information: experience-based, embodied and scientific. Trustworthiness, emphasized with authenticity and genuineness, and competence, based on experience, expertise and second-hand information, were recognized as key components of credibility in this context.
Originality/value
This study increases the understanding of the complex ways in which young people create information on social media and influence their audiences. The study contributes to information literacy research by offering insights into the under-researched area of information creation. It is among the few studies to examine cognitive authority construction in the information creation process. The notion of authority as constructed through trustworthiness and competence and grounded on different types of information, can be taken into account in practice by information professionals and educators when planning information literacy instruction.
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