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1 – 3 of 3Rebecca Gilligan, Rachel Moran and Olivia McDermott
This study aims to utilise Six Sigma in an Irish-based red meat processor to reduce process variability and improve yields.
Abstract
Purpose
This study aims to utilise Six Sigma in an Irish-based red meat processor to reduce process variability and improve yields.
Design/methodology/approach
This is a case study within an Irish meat processor where the structured Define, Measure, Analyse, Improve and Control (DMAIC) methodology was utilised along with statistical analysis to highlight areas of the meat boning process to improve.
Findings
The project led to using Six Sigma to identify and measure areas of process variation. This resulted in eliminating over-trimming of meat cuts, improving process capabilities, increasing revenue and reducing meat wastage. In addition, key performance indicators and control charts, meat-cutting templates and smart cutting lasers were implemented.
Research limitations/implications
The study is one of Irish meat processors' first Six Sigma applications. The wider food and meat processing industries can leverage the learnings to understand, measure and minimise variation to enhance revenue.
Practical implications
Organisations can use this study to understand the benefits of adopting Six Sigma, particularly in the food industry and how measuring process variation can affect quality.
Originality/value
This is the first practical case study on Six sigma deployment in an Irish meat processor, and the study can be used to benchmark how Six Sigma tools can aid in understanding variation, thus benefiting key performance metrics.
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Rebecca Restle, Marcelo Cajias and Anna Knoppik
The purpose of this paper is to explore the significance impact of air quality as a contributing factor on residential property rents by applying geo-informatics to economic…
Abstract
Purpose
The purpose of this paper is to explore the significance impact of air quality as a contributing factor on residential property rents by applying geo-informatics to economic issues. Since air pollution poses a severe health threat, city residents should have a right to know about the (invisible) hazards they are exposed to.
Design/methodology/approach
Within spatial-temporal modeling of air pollutants in Berlin, Germany, three interpolation techniques are tested. The most suitable one is selected to create seasonal maps for 2018 and 2021 with pollution concentrations for particulate matter values and nitrogen dioxide for each 1,000 m2 cell within the administrative boundaries. Based on the evaluated pollution particulate matter values, which are used as additional variables for semi-parametric regressions the impact of the air quality on rents is estimated.
Findings
The findings reveal a compelling association between air quality and the economic aspect of the residential real estate market, with noteworthy implications for both tenants and property investors. The relationship between air pollution variables and rents is statistically significant. However, there is only a “willingness-to- pay” for low particulate matter values, but not for nitrogen dioxide concentrations. With good air quality, residents in Berlin are willing to pay a higher rent (3%).
Practical implications
These results suggest that a “marginal willingness-to-pay” occurs in a German city. The research underscores the multifaceted impact of air quality on the residential rental market in Berlin. The evidence supports the notion that a cleaner environment not only benefits human health and the planet but also contributes significantly to the economic bottom line of property investors.
Originality/value
The paper has a unique data engineering approach. It collects spatiotemporal data from network of state-certified measuring sites to create an index of air pollution. This spatial information is merged with residential listings. Afterward non-linear regression models are estimated.
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Instructional leadership is a school leadership approach that emphasizes improving teaching and learning. This study explores how school middle leaders – teachers holding…
Abstract
Purpose
Instructional leadership is a school leadership approach that emphasizes improving teaching and learning. This study explores how school middle leaders – teachers holding leadership positions in schools, who are responsible for a particular area or discipline of the school's curriculum – fulfill their instructional leadership role.
Design/methodology/approach
The participants in this qualitative study were 24 middle leaders (subject coordinators) in elementary schools in Israel. Data collection was based on semi-structured interviews, and data analysis included three stages: sorting, coding and categorizing.
Findings
The current study points to three main characteristics of instructional leadership in school middle leaders: leading by expertise; leading by collaboration; and leading by example.
Originality/value
At present, there is only scant literature on instructional leadership in school middle leaders. This study suggests that principals and middle leaders, who work closely with each other to provide instructional leadership in their schools, do so in different ways.
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