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1 – 10 of over 3000Thomas Grigalunas, Simona Trandafrr, Meifeng Luo, James Opaluch and Suk-Jae Kwon
This paper analyzes two external costs often associated with port development, cost to fisheries from marine dredge disposal and damages from air pollution, using estimates of…
Abstract
This paper analyzes two external costs often associated with port development, cost to fisheries from marine dredge disposal and damages from air pollution, using estimates of development and operation for a proposed (but since cancelled) container port as a case study. For dredge disposal, a bio-economic model was used to assess short- and long-term and indirect (joodweb) damages to fisheries from marine disposal of clean sediments. In the case of air pollution, estimates of annual activity levels and emission coefficients are used to estimate incremental annual emissions of three key pollutants (NOx, HC and CO) for trucks, trains, yard vehicles, and vessels. These estimates allow for phasing in of strict new air pollution regulations. For both external costs, sensitivity analyses are used to reflect uncertainty. Estimates of shadow values in year 2002 dollars amount from $0.094 per cubic yard to $0.169 per cubic yard of clean dredged material for the selected disposal site and from $0.0584 per mile (jor current control standards) to $ 0. 0023 per mile (after phasing in of new regulations) for air pollution from heavy trucks.
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Marcello Braglia, Francesco Di Paco, Roberto Gabbrielli and Leonardo Marrazzini
This paper presents a new and well-structured framework that aims to assess the current environmental impact from a Greenhouse Gas (GHG) emissions perspective. This tool includes…
Abstract
Purpose
This paper presents a new and well-structured framework that aims to assess the current environmental impact from a Greenhouse Gas (GHG) emissions perspective. This tool includes a new set of Lean Key Performance Indicators (KPIs), which translates the well-known logic of Overall Equipment Effectiveness in the field of GHG emissions, that can progressively detect industrial losses that cause GHG emissions and support decision-making for implementing improvements.
Design/methodology/approach
The new metrics are presented with reference to two different perspectives: (1) to highlight the deviation of the current value of emissions from the target; (2) to adopt a diagnostic orientation not only to provide an assessment of current performance but also to search for the main causes of inefficiencies and to direct improvement implementations.
Findings
The proposed framework was applied to a major company operating in the plywood production sector. It identified emission-related losses at each stage of the production process, providing an overall performance evaluation of 53.1%. The industrial application shows how the indicators work in practice, and the framework as a whole, to assess GHG emissions related to industrial losses and to proper address improvement actions.
Originality/value
This paper scrutinizes a new set of Lean KPIs to assess the industrial losses causing GHG emissions and identifies some significant drawbacks. Then it proposes a new structure of losses and KPIs that not only quantify efficiency but also allow to identify viable countermeasures.
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Laura Lucantoni, Sara Antomarioni, Filippo Emanuele Ciarapica and Maurizio Bevilacqua
The Overall Equipment Effectiveness (OEE) is considered a standard for measuring equipment productivity in terms of efficiency. Still, Artificial Intelligence solutions are rarely…
Abstract
Purpose
The Overall Equipment Effectiveness (OEE) is considered a standard for measuring equipment productivity in terms of efficiency. Still, Artificial Intelligence solutions are rarely used for analyzing OEE results and identifying corrective actions. Therefore, the approach proposed in this paper aims to provide a new rule-based Machine Learning (ML) framework for OEE enhancement and the selection of improvement actions.
Design/methodology/approach
Association Rules (ARs) are used as a rule-based ML method for extracting knowledge from huge data. First, the dominant loss class is identified and traditional methodologies are used with ARs for anomaly classification and prioritization. Once selected priority anomalies, a detailed analysis is conducted to investigate their influence on the OEE loss factors using ARs and Network Analysis (NA). Then, a Deming Cycle is used as a roadmap for applying the proposed methodology, testing and implementing proactive actions by monitoring the OEE variation.
Findings
The method proposed in this work has also been tested in an automotive company for framework validation and impact measuring. In particular, results highlighted that the rule-based ML methodology for OEE improvement addressed seven anomalies within a year through appropriate proactive actions: on average, each action has ensured an OEE gain of 5.4%.
Originality/value
The originality is related to the dual application of association rules in two different ways for extracting knowledge from the overall OEE. In particular, the co-occurrences of priority anomalies and their impact on asset Availability, Performance and Quality are investigated.
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Sagarika Raju, Harsha Arun Kamble, Rashmi Srinivasaiah and Devappa Renuka Swamy
The purpose of this research is to discover equipment losses and assess the accomplishment of overall equipment effectiveness (OEE) values.
Abstract
Purpose
The purpose of this research is to discover equipment losses and assess the accomplishment of overall equipment effectiveness (OEE) values.
Design/methodology/approach
Industries specialized in die shops often have issues regarding their efficiencies, conferring to statistics further production line department procedure for various machines frequently suffered restrictions owing to excessive downtime and speed losses in machines thus, reducing their effectiveness and efficiency. OEE is a means of determining how effective a piece of equipment is when in working condition. Calculation of OEE finds the heart of the issue and the root cause for the underlying problem.
Findings
The dimensional outcomes suggest that the average machine effectiveness has not attained the norm of >85%, but there is still room for progression.
Originality/value
One recommended procedure to reduce losses is to keep the actual pace of operation and downtime of equipment constant. Many such suggestions are provided to reduce the losses.
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Zhonglu Liu, Haibo Sun and Songlin Tang
Climate change not only causes serious economic losses but also influences financial stability. The related research is still at the initial stage. This paper aims to examine and…
Abstract
Purpose
Climate change not only causes serious economic losses but also influences financial stability. The related research is still at the initial stage. This paper aims to examine and explore the impact of climate change on financial stability in China.
Design/methodology/approach
This paper first uses vector autoregression model to study the impact of climate change to financial stability and applies NARDL model to assess the nonlinear asymmetric effect of climate change on China’s financial stability using monthly data from 2002 to 2018.
Findings
The results show that both positive and negative climate shocks do harm to financial stability. In the short term, the effect of positive climate shocks on financial stability is greater than the negative climate shocks in the current period, but less in the lag period. In the long term, negative climate shocks bring larger adjustments to financial stability relative to positive climate shocks. Moreover, compared with the short-term effect, climate change is more destructive to financial stability in the long run.
Originality/value
The paper provides a quantitative reference for assessing the nexus between climate change and financial stability from a nonlinear and asymmetric perspective, which is beneficial for understanding climate-related financial risks.
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This article conceptualises how the economic well-being of an entrepreneurial household affects its members' mental accounting process to establish its affordable loss for a…
Abstract
Purpose
This article conceptualises how the economic well-being of an entrepreneurial household affects its members' mental accounting process to establish its affordable loss for a plunge decision.
Design/methodology/approach
The article used research literature to analyze the resources available for entrepreneurial endeavours against a household's ability to maintain acceptable minimum material living standards, juxtaposing income and wealth against competing consumption and investment opportunities.
Findings
Mentally accounting for whether household resources can meet minimum material living standards is central to entrepreneurs' ability to raise affordable loss and decide to invest in a new venture. The article proposes that entrepreneurial households establish affordable loss by availing their money exceeding that required to maintain acceptable minimum material living standards. In low-income households, the author assumes that members are not employed and can thus avail their time (versus money) towards affordable loss.
Originality/value
Economic well-being introduces mental accounts of income and wealth and a hedonic reference outcome in the material living standards of households required to meet basic needs. The article introduces the tension entrepreneurial households face between using their income and wealth towards investing in a new business and maintaining their material living standards. It introduces the idea that a loss can be “affordable” according to an entrepreneurial household's ability to remain above its acceptable minimum material living standard. This view prompts scholars to consider a household unit of analysis and avoid assuming an entrepreneur makes the plunge decision in isolation.
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Alina Veksler and Sara Thorgren
This study aims at developing an understanding of action pathways when adverse events force micro-enterprises to change their operations.
Abstract
Purpose
This study aims at developing an understanding of action pathways when adverse events force micro-enterprises to change their operations.
Design/methodology/approach
This qualitative study draws upon empirical data collected from entrepreneurs facing the same adverse event—the COVID-19 pandemic—to build theory on different types of actions that micro-enterprises take and what leads up to these actions.
Findings
The findings suggest three types of action pathways. The first pathway is set off by losses stretched out over time and generates open-ended actions. The second pathway is set off by immediate losses and generates survival-oriented actions. The third pathway is set off by potential long-term losses and generates developmental-oriented actions.
Originality/value
This study offers novel insights into action pathways in response to adverse events, heterogeneity of such actions and processes that precede the choice of actions. It also expands the existing literature by showcasing actual actions instead of desired actions, which have already been extensively studied.
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This paper tests whether Bayesian A/B testing yields better decisions that traditional Neyman-Pearson hypothesis testing. It proposes a model and tests it using a large, multiyear…
Abstract
Purpose
This paper tests whether Bayesian A/B testing yields better decisions that traditional Neyman-Pearson hypothesis testing. It proposes a model and tests it using a large, multiyear Google Analytics (GA) dataset.
Design/methodology/approach
This paper is an empirical study. Competing A/B testing models were used to analyze a large, multiyear dataset of GA dataset for a firm that relies entirely on their website and online transactions for customer engagement and sales.
Findings
Bayesian A/B tests of the data not only yielded a clear delineation of the timing and impact of the intellectual property fraud, but calculated the loss of sales dollars, traffic and time on the firm’s website, with precise confidence limits. Frequentist A/B testing identified fraud in bounce rate at 5% significance, and bounces at 10% significance, but was unable to ascertain fraud at the standard significance cutoffs for scientific studies.
Research limitations/implications
None within the scope of the research plan.
Practical implications
Bayesian A/B tests of the data not only yielded a clear delineation of the timing and impact of the IP fraud, but calculated the loss of sales dollars, traffic and time on the firm’s website, with precise confidence limits.
Social implications
Bayesian A/B testing can derive economically meaningful statistics, whereas frequentist A/B testing only provide p-value’s whose meaning may be hard to grasp, and where misuse is widespread and has been a major topic in metascience. While misuse of p-values in scholarly articles may simply be grist for academic debate, the uncertainty surrounding the meaning of p-values in business analytics actually can cost firms money.
Originality/value
There is very little empirical research in e-commerce that uses Bayesian A/B testing. Almost all corporate testing is done via frequentist Neyman-Pearson methods.
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Puneet Kaur, Amandeep Dhir, Shalini Talwar and Melfi Alrasheedy
In the recent past, academic researchers have noted the quantity of food wasted in food service establishments in educational institutions. However, more granular inputs are…
Abstract
Purpose
In the recent past, academic researchers have noted the quantity of food wasted in food service establishments in educational institutions. However, more granular inputs are required to counter the challenge posed. The purpose of this study is to undertake a review of the prior literature in the area to provide a platform for future research.
Design/methodology/approach
Towards this end, the authors used a robust search protocol to identify 88 congruent studies to review and critically synthesize. The research profiling of the selected studies revealed limited studies conducted on food service establishments in universities. The research is also less dispersed geographically, remaining largely focused on the USA. Thereafter, the authors performed content analysis to identify seven themes around which the findings of prior studies were organized.
Findings
The key themes of the reviewed studies are the drivers of food waste, quantitative assessment of food waste, assessment of the behavioural aspects of food waste, operational strategies for reducing food waste, interventions for inducing behavioural changes to mitigate food waste, food diversion and food waste disposal processes and barriers to the implementation of food waste reduction strategies.
Research limitations/implications
This study has key theoretical and practical implications. From the perspective of research, the study revealed various gaps in the extant findings and suggested potential areas that can be examined by academic researchers from the perspective of the hospitality sector. From the perspective of practice, the study recommended actionable strategies to help managers mitigate food waste.
Originality/value
The authors have made a novel contribution to the research on food waste reduction by identifying theme-based research gaps, suggesting potential research questions and proposing a framework based on the open-systems approach to set the future research agenda.
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The purpose of this paper is to carry out a review of the academic literature about corporate social irresponsibility (CSIR) highlighting aspects that help us to define socially…
Abstract
Purpose
The purpose of this paper is to carry out a review of the academic literature about corporate social irresponsibility (CSIR) highlighting aspects that help us to define socially irresponsible behaviour and its relationship with socially responsible behaviour.
Design/methodology/approach
Through a Boolean search of studies related to terms of irresponsibility undertaken from 1956 to October 2016, the authors develop a review of the literature focussing on the main perspectives used for defining the term of CSIR.
Findings
The paper provides a framework of three main dimensions for understanding the differences in the literature that defines CSIR: who defines irresponsible behaviour, an impartial observer or a specific group of stakeholders, whether it is a firm strategy or a punctual action and which is the relationship between corporate social responsibility (CSR) and CSIR, continuity vs orthogonal relationship.
Originality/value
The paper provides and extensive and original review of a key construct, CSIR, and develops some insights about its antecedents and consequences. The authors try to provide light to the contradictory situation where a growing interest in CSR and the increase in voluntary commitments adopted by company leaders incorporating CSR into their strategies are, paradoxically, increasingly associated with CSIR.
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