Journal articles on the topic 'Sustainability Metrics and Key Performance Indicator(KPIs)'

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1

Contini, Giuditta, and Margherita Peruzzini. "Sustainability and Industry 4.0: Definition of a Set of Key Performance Indicators for Manufacturing Companies." Sustainability 14, no. 17 (September 2, 2022): 11004. http://dx.doi.org/10.3390/su141711004.

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Today, sustainability represents a fundamental concept to be developed and implemented in any industrial context. Therefore, it is essential to be able to measure sustainability performance by proper indicators, along the entire lifecycle and the value chain, considering environmental, economic, and social impacts. Moreover, every manufacturing company should have a specific measuring framework to calculate all the specific parameters. In this direction, the modern digital transition and Industry 4.0 (I4.0) technologies are proposing to transform human–machine relations, with a significant impact on social and organizational aspects. At the same time, digitization can help companies to define and implement sustainability by correlating production with proper evaluation metrics. The aim of this research is to provide a complete overview of sustainability Key Performance Indicators (KPIs) based on the Triple Bottom Line concept, referring to the three sustainability areas. Such an overview can be used by companies to set their specific KPIs and metrics to measure their sustainability level, according to their needs.
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Hui, Felix Kin Peng, Lu Aye, and Colin F. Duffield. "Engaging Employees with Good Sustainability: Key Performance Indicators for Dry Ports." Sustainability 11, no. 10 (May 24, 2019): 2967. http://dx.doi.org/10.3390/su11102967.

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Dry ports have the potential to enhance the sustainability of transport systems, yet their introduction requires major changes to the current logistics chain. Further, emphasising sustainability goals and continued employee engagement can be a challenge when developing or implementing organisational change management programs in dry ports. Key considerations include governmental requirements and compliance, investor expectations, as well as employee engagement; these factors may be conflicting. The top-down management approach supported by strong leadership, participative approaches and constant communication assists in achieving successful change management. Sound selection of key performance indicators (KPIs) provides a set of metrics to track and aid the change process. They serve as a unifying link between top managements’ sustainability goals and employees’ engagement. The initial findings of our research confirm that both port and terminal operators have a gap in their understanding of the importance of sustainability goals and environmental goals. This will have a flow-on effect of port and terminal operators not driving the right messages to their staff in their organisational change management programs. Based on a critical literature review, it has been established what might qualify as good sustainability KPIs for dry ports. An example of a dry port at the Port of Somerton has been included. As every dry port has different requirements and constraints, it is important to develop KPIs together with stakeholders.
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Varouchas, Emmanouil, Miguel-Ángel Sicilia, and Salvador Sánchez-Alonso. "Academics’ Perceptions on Quality in Higher Education Shaping Key Performance Indicators." Sustainability 10, no. 12 (December 13, 2018): 4752. http://dx.doi.org/10.3390/su10124752.

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Institutions in higher education (HE) continuously strive to develop and deliver impactful educational programs. At the same time, they should continue to fulfill their mission to educate students in basic applied subjects and in parallel respond to the need to equip students with new skills. For this reason, higher education institutions (HEI) perform periodical curricular reviews adhering to internal and external quality assurance systems. The subsequent curricular reforms are of a transformative nature, preparing graduates to tackle the challenges of globalization, unemployment and vanishing professions. For these reforms to lead to sustainable curricula, the integration of quality into educational programs is instrumental. A suggested way of achieving a transformative stance is to provide the context for the application and diffusion of quality metrics in teaching and learning. This research intends to provide a discussion of key performance indicators (KPIs) related to quality. This paper presents the second round of qualitative interviews with higher education administrators and professors as a promising vehicle for advancing towards the formulation of KPIs based on their understanding of the different independent dimensions of the quality construct. These KPIs will provide valuable insights into improving teaching, learning and assessment and will eventually lead to sustainable curricula. Research findings outline the significance of the time invested to design and update a course, indicate that technology-enhanced learning solutions are perceived as key quality drivers, and point out the need to align courses with industry requirements and real-world problems. Additionally, findings indicate that the quality and impact of teaching and learning is promoted by the multi/inter-disciplinary character of a course, the engagement of students in interactive discussions and student research as part of summative assessment. The main contribution of this research is an analytic discussion of perceptions of higher education administrators and professors about quality, leading to a significant enrichment of the relevant literature. A set of innovative generic KPIs which can be used in multidimensional quality assessment in higher education is eventually proposed.
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Medne and Lapina. "Sustainability and Continuous Improvement of Organization: Review of Process-Oriented Performance Indicators." Journal of Open Innovation: Technology, Market, and Complexity 5, no. 3 (July 26, 2019): 49. http://dx.doi.org/10.3390/joitmc5030049.

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Nowadays, organizations are trying to have, not only a competitive advantage in the market, but also in sustainable development. The purpose of this paper is to investigate the process of measuring organizations’ sustainability using process-oriented indicators. The research seeks to address the following research question: How are process-oriented indicators linked to an organization’s strategy in the context of sustainable development? This research is based on reviewing the literature on organizational performance analysis in the context of sustainable development. The literature review highlights the main elements of organizational performance analysis and linkages to the overall business strategy. There are many ways of how to conduct an in depth assessment of an organization’s performance regarding sustainability. The research shows the elements that are integrated in the process and the organization’s performance analysis. These elements are—objectives, metrics, data measures, indicators and key performance indicators (KPIs). The research shows that growing organizations with a strategic focus on sustainability integrate these elements in the process analysis.
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Mosiman, Cory, Gregor Henze, and Herbert Els. "Development and Application of Schema Based Occupant-Centric Building Performance Metrics." Energies 14, no. 12 (June 13, 2021): 3513. http://dx.doi.org/10.3390/en14123513.

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Occupant behavior can significantly influence the operation and performance of buildings. Many occupant-centric key performance indicators (KPIs) rely on having accurate counts of the number of occupants in a building, which is very different to how occupancy information is currently collected in the majority of buildings today. To address this gap, the authors develop a standardized methodology for the calculation of percent space utilization for buildings, which is formulated with respect to two prevalent operational data schemas: the Brick Schema and Project Haystack. The methodology is scalable across different levels of spatial granularity and irrespective of sensor placement. Moreover, the methods are intended to make use of typical occupancy sensors that capture presence level occupancy and not counts of people. Since occupant-hours is a preferable metric to use in KPI calculations, a method to convert between percent space utilization and occupant-hours using the design occupancy for a space is also developed. The methodology is demonstrated on a small commercial office space in Boulder, Colorado using data collected between June 2018 and February 2019. A multiple linear regression is performed that shows strong evidence for a relationship between building energy consumption and percent space utilization.
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Matlock, Marty, Martin Christie, and Greg Thoma. "Analysis of Life Cycle Environmental Impacts of Using Enogen Corn in Beef Cattle Rations." Animals 11, no. 10 (October 9, 2021): 2916. http://dx.doi.org/10.3390/ani11102916.

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Agricultural production systems have been identified as significant sources of anthropogenic impacts across several environmental key performance indicators (KPIs). Livestock husbandry is growing in global importance as the demand for high-quality protein continues to increase. It is therefore imperative to have sustainable intensification technologies, and we describe one such technology. The purpose of this study was to evaluate the performance of Enogen® corn grain compared to conventional feed corn when used as an ingredient in backgrounding and feed yard beef rations using life cycle assessment. The project was conducted in compliance with ISO standards, including a third-party panel review. A series of scenarios were analyzed to evaluate the impacts of boundaries and functional units on the outcomes. The use of Enogen corn as a feed component in beef production showed a quantifiable benefit in terms of the sustainability metrics of primary interest in this study. The gate-to-gate improvements at the feed yard and backgrounding based on full field trial datasets from field trials conducted at Kansas State University and at the University of Nebraska, Lincoln showed 3.4 and 5.8 percent reductions in Global Warming Potential, respectively. It is particularly noteworthy that the improvement in feed conversion ratio at the feed yard results in approximately 6 percent improvement in the four key environmental performance metrics of beef production, which demonstrates potential for the sector to meet its sustainability targets.
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Farooq, Muhammad Bilal, Rashid Zaman, and Muhammad Nadeem. "AccountAbility’s AA1000AP standard: a framework for integrating sustainability into organisations." Sustainability Accounting, Management and Policy Journal 12, no. 5 (March 19, 2021): 1108–39. http://dx.doi.org/10.1108/sampj-05-2020-0166.

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Purpose This study aims to evaluate corporate sustainability integration by evaluating corporate practices against the sustainability principles of inclusivity, materiality, responsiveness and impact outlined in AccountAbility’s AA1000 Accountability Principles (AA1000AP) standard. Design/methodology/approach Data comprise 12 semi-structured interviews with senior managers of listed New Zealand companies. Findings are evaluated against AccountAbility’s principles of inclusivity, materiality, responsiveness and impact, which are based on a normative view of stakeholder theory. Findings In terms of inclusivity, stakeholder engagement is primarily monologic and is directed more towards traditional stakeholder groups. However, social media, which is gaining popularity, has the potential to facilitate greater dialogic stakeholder engagement. While most companies undertake a materiality assessment (with varying degrees of rigour) to support sustainability reporting, only some use it to drive planning and decision-making. Companies demonstrate responsiveness to stakeholder concerns through corporate governance and sustainability initiatives. Companies are monitoring and measuring their impact on stakeholders using sustainability key performance indicators (KPIs). However, measuring traditional metrics is easier than measuring areas such as the community. In rare instances, the executive’s remuneration is linked to these sustainability KPIs. Practical implications The study findings offer useful examples of the integration of sustainability into corporate processes and systems. Practitioners may find the insights useful in understanding how sustainability is currently being integrated into corporate practices by best practice New Zealand companies. Regulators may consider incorporating AA1000AP into their corporate governance guidelines. Finally, academics may find the study useful for teaching business and accounting courses and to guide the next generation of business managers. Originality/value First, the study brings together four streams of research on how sustainability reports are prepared (inclusivity, materiality, responsiveness and impact) in a single study. Second, the findings offer novel insights by evaluating corporate sustainability against the requirements of a standard that has received little academic attention.
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Kourtzanidis, Konstantinos, Komninos Angelakoglou, Vasilis Apostolopoulos, Paraskevi Giourka, and Nikolaos Nikolopoulos. "Assessing Impact, Performance and Sustainability Potential of Smart City Projects: Towards a Case Agnostic Evaluation Framework." Sustainability 13, no. 13 (July 1, 2021): 7395. http://dx.doi.org/10.3390/su13137395.

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We report on a novel evaluation framework to globally assess the footprint of smart cities and communities (SCC) projects, being also expandable to the case of smart grid related projects. The uniform smart city evaluation (USE) framework is constructed upon three complementary evaluation axes: the first one aims to weigh up the success of a SCC project based on performance metrics against pre-defined project-specific target values. The second axis focuses on the project’s impact towards the sustainability of a city and it is bench-marked against national and international key objectives arising from strategic plans. This bench-marking feeds the third axis which provides a more inclusive evaluation against four pre-defined and widely acclaimed sectors of interest. The steps to be followed for the uniform evaluation of each axis and corresponding index are presented in detail, including necessary key performance indicator (KPI) normalization, weighting, and aggregation methods. The resulting indices’ scores for each axis (namely project performance index, sustainability impact index, and sustainability performance index) can be post-processed with adequate data processing and visualization tools to extract important information on the extent to which the range of success of a SCC project contributes to the city sustainability progress. Illustrative examples from an on-going SCC project are provided to highlight the strengths of the approach. The proposed framework can be used to compare multiple projects within a city and sustainability and project performance in different cities, evaluate the interventions chosen per project against city needs, benchmark and design future projects (with, e.g., reverse engineering, projections), as well as evaluate various spatial and temporal scales.
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Housawi, Abdulrahman, Amal Al Amoudi, Basim Alsaywid, Miltiadis Lytras, Yara H. bin Μoreba, Wesam Abuznadah, and Sami A. Alhaidar. "Evaluation of Key Performance Indicators (KPIs) for Sustainable Postgraduate Medical Training: An Opportunity for Implementing an Innovative Approach to Advance the Quality of Training Programs at the Saudi Commission for Health Specialties (SCFHS)." Sustainability 12, no. 19 (September 29, 2020): 8030. http://dx.doi.org/10.3390/su12198030.

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The Kingdom of Saudi Arabia is undergoing a major transformation in response to a revolutionary vision of 2030, given that healthcare reform is one of the top priorities. With the objective of improving healthcare and allied professional performance in the Kingdom to meet the international standards, the Saudi Commission for Health Specialties (SCFHS) has recently developed a strategic plan that focuses on expanding training programs’ capacity to align with the increasing demand for the country’s healthcare workforce, providing comprehensive quality assurance and control to ensure training programs uphold high quality standards, and providing advanced training programs benchmarked against international standards. In this research paper, we describe our attempt for developing a general framework for key performance indicators (KPIs) and the related metrics, with the aim of contributing to developing new strategies for better medical training compatible with the future. We present the results of a survey conducted in the Kingdom of Saudi Arabia (KSA), for the enhancement of quality of postgraduate medical training. The recent developments in the field of learning analytics present an opportunity for utilizing big data and artificial intelligence in the design and implementation of socio-technical systems with significant potential social impact. We summarize the key aspects of the Training Quality Assurance Initiative and suggest a new approach for designing a new data and services ecosystem for personalized health professionals training in the KSA. The study also contributes to the theoretical knowledge on the integration of sustainability and medical training and education by proposing a framework that can enhance future initiatives from various health organizations.
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Kasem, Edward, Oldřich Trenz, Jiří Hřebíček, and Oldřich Faldík. "Key Sustainability Performance Indicator Analysis for Czech Breweries." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 63, no. 6 (2015): 1937–44. http://dx.doi.org/10.11118/actaun201563061937.

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Sustainability performance can be said to be an ability of an organization to remain productive over time and hold on to its potential for maintaining long-term profitability. Since the brewery sector is one of the most important and leading markets in the foodstuff industry of the Czech Republic, this study depicts the Czech breweries’ formal entry into sustainability reporting and performance. The purpose of this paper is to provide an efficiency level evaluation which would represent the level of corporate performance of Czech breweries. For this reason, Data Envelopment Analysis (DEA) is introduced. In order to apply it, we utilize a set of key performance indicators (KPIs) based on two international standard frameworks: the Global Reporting Initiative (GRI) and its GRI 4 guidelines, and the guideline KPIs for ESG 3.0, which was published by the DVFA Society. Four sustainability dimensions (economic, environmental, social and governance) are covered, making it thus possible to adequately evaluate sustainability performance in Czech breweries. The main output is not only the efficiency score of the company but also the input weights. These weights are used to determine the contribution of particular criteria to the breweries’ achieved score. According to the achieved efficiency results for Czech breweries, the percentage of women supervising the company does not affect the sustainability performance.
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Kusrini, Elisa, and Rangga Primadasa. "Design of Key Performance Indicators (KPI) for Sustainable Supply Chain Management (SSCM) Palm Oil Industry in Indonesia." MATEC Web of Conferences 159 (2018): 02068. http://dx.doi.org/10.1051/matecconf/201815902068.

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This paper aims to design key performance indicators (KPIs) for evaluating sustainable supply chain management (SSCM) for palm oil processing industry in Indonesia. Supply chain sustainability is the management of environmental, social and economic impacts, and the encouragement of good governance practices, throughout the lifecycle of goods and services. The method in designing KPIs using a triangulation method, ie combining of theory (literature study) with field surveys and validate with the opinion of the expert (expert judgment) as well as compatibility with existing regulations (Indonesian sustainable palm oil / roundtable on sustainable palm oil). There are 29 proposed KPIs for measuring SCM’s sustainable palm oil in Indonesia based on literature and expert judgment. In order to obtain a more precise performance, then the importance level of KPI will be measured using Analytic Hierarchy Analysis (AHP) method. According to the preferences of some managers of palm oil using AHP method showed that the economic factor is the most dominant indicator (62,92%), followed by environmental (18,93%) and social factors (18,15%). In subsequent studies, the results of the KPIs will be used to measure the index of sustainability in the palm oil’s supply chain industry in Indonesia.
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Zhou, Hong, and Daniel Castro Lacouture. "Key Performance Indicators for Infrastructure Sustainability - A Comparative Study between China and the United States." Advanced Materials Research 250-253 (May 2011): 2984–92. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.2984.

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This paper compares key performance indicators (KPI) for infrastructure sustainability in the United States and China. The paper also discusses the implications and challenges of addressing sustainability and sustainable development in the two countries. The research shows that there are noticeable differences in the indicator system structure, although there is general agreement on the concrete sub-indicators. These differences are closely linked to the research method, theory of the respective country and the macro-level priorities in formulating their sustainable development agenda. The America KPIs system was set up by Delphi method, while the Chinese one was based on complicated systematical theory and systematical ecology. The most significant agreements are on sub-indicators related to ecology, economy, project management and administration. However, there are significant disagreements on some indicators related to special indicators of highway systems. The contribution of this paper provided empirical evidence of such underlying differences. Based on the comparison of the two KPIs systems, further research is suggested to validate the indicators and the structure for infrastructure sustainability.
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Yu, Jun Qi, Jing Gao, and Gui Yong Yan. "Research on Sustainability Assessment of Large-Scale Public Building." Applied Mechanics and Materials 291-294 (February 2013): 1050–54. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.1050.

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Research the sustainability of large-scale public building, select key performance indicators (KPIs) and present a comprehensive assessment method. The sustainability assessment system and weight of all levels of indicator are established based on the method of which combine the Questionnaire with Analytic Hierarchy Process(AHP), the assessment matrix are established according to the principle of Fuzzy Comprehensive Evaluation (FCE) in order to the further assessment. The example of application is given and the results are conformed to reality. The results show that this method is feasible and it can assess the sustainability of large-scale public building accurately and efficiently.
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Remondino, Marco. "Information Technology in Healthcare: HHC-MOTES, a Novel Set of Metrics to Analyse IT Sustainability in Different Areas." Sustainability 10, no. 8 (August 2, 2018): 2721. http://dx.doi.org/10.3390/su10082721.

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Sustainability, as a science, is the guideline of the present work. It aims to analyse, by means of a literature review, various areas of healthcare in which information technology (IT) has been- or could be-used, leading to several sources of sustainability, for example, cost savings, better teamwork, higher quality and efficiency of medical care. After a brief introduction analysing the strategic contexts in which innovation in general, and IT in particular, can be a source of general improvements in efficiency, cost savings and service quality, the research focuses on the healthcare system by discussing the different nature of private and public organizations in terms of adopting innovations and changes and discussing the issue of consumer health costs and consumer choices. The following part focuses on the qualitative benefits of IT in healthcare and discusses the importance of metrics for measuring performance, costs and efficiency in this area. The work then qualitatively introduces a new set of Key Performance Indicators (KPI), partly based on literature from different topics and existing and validated sets of metrics, analysing, under the point of view of sustainability, the implementation of IT in healthcare, namely in management, organization, technology, environment and social fields (HHC-MOTES framework). The model, inspired by and to sustainability, can be used as a decision support at the strategic management level as well as for the analysis and investigation of the effects of IT systems in the healthcare sector from various perspectives.
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Stern, Sabrina, Sven Steck, and Stefan Waitzinger. "Corporate Environmental Sustainability – A Key Figure-Based Approach." International Journal of Managing Value and Supply Chains 12, no. 03 (September 30, 2021): 9–21. http://dx.doi.org/10.5121/ijmvsc.2021.12302.

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This paper describes the rationale and the development of a structured digital approach for measuring corporate environmental sustainability using performance metrics. It is impossible to imagine today's age without the preservation of our environment, not even in the corporate environment. Currently, sustainability is mostly only rudimentarily considered in companies, mostly only with written down phrases on the website. This will no longer be sufficient in the future, which is why companies should record sustainability on a numerical basis. Based on the development of a workable concept for companies, a small empirical study was carried out, which can be used to numerically measure the sustainability performance of companies. Two utility analyses were completed. One of them was supplemented by expert interviews. Well-known practitioners from the business world were interviewed and asked for their assessment of ecological performance indicators. The result of the research is an indicator-based concept that can be applied in corporate practice to determine ecological sustainability performance.
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Yang, Liu, Koen van Dam, and Lufeng Zhang. "Developing Goals and Indicators for the Design of Sustainable and Integrated Transport Infrastructure and Urban Spaces." Sustainability 12, no. 22 (November 19, 2020): 9677. http://dx.doi.org/10.3390/su12229677.

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This paper aims to provide a framework for policy-makers and transportation and urban design professionals to evaluate alternative urban plans and infrastructure design, allowing them to select a set of locally relevant indicators to help assess scenarios considering sustainable development and overall system performance improvement in line with specific project goals. Using methods of systematic review, content analysis, multi-criteria analysis, and expert consultation, a three-level goal system is proposed, leading to the generation of 64 Key Performance Indicators (KPIs), both qualitative and quantitative, and an indicator set of 227 items. To allow stakeholders to apply their own set of indicators, the approaches and tools of measuring these indicators as well as the ways of using this indicator set are presented to assist decision-makers in evaluating and choosing optimal plans and designs.
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Morella, Paula, María Pilar Lambán, Jesús Royo, Juan Carlos Sánchez, and Lisbeth del Carmen Ng Corrales. "Development of a New Green Indicator and Its Implementation in a Cyber–Physical System for a Green Supply Chain." Sustainability 12, no. 20 (October 18, 2020): 8629. http://dx.doi.org/10.3390/su12208629.

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This work investigates Industry 4.0 technologies by developing a new key performance indicator that can determine the energy consumption of machine tools for a more sustainable supply chain. To achieve this, we integrated the machine tool indicator into a cyber–physical system for easy and real-time capturing of data. We also developed software that can turn these data into relevant information (using Python): Using this software, we were able to view machine tool activities and energy consumption in real time, which allowed us to determine the activities with greater energy burdens. As such, we were able to improve the application of Industry 4.0 in machine tools by allowing informed real-time decisions that can reduce energy consumption. In this research, a new Key Performance Indicator (KPI) was been developed and calculated in real time. This KPI can be monitored, can measure the sustainability of machining processes in a green supply chain (GSC) using Nakajima’s six big losses from the perspective of energy consumption, and is able to detect what the biggest energy loss is. This research was implemented in a cyber–physical system typical of Industry 4.0 to demonstrate its applicability in real processes. Other productivity KPIs were implemented in order to compare efficiency and sustainability, highlighting the importance of paying attention to both terms at the same time, given that the improvement of one does not imply the improvement of the other, as our results show.
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Kinanti, Winda Ayu, and Nunung Nurhasanah. "Usulan Perancangan Key Performance Indicator (KPI) dengan Konsep Green HRM menggunakan Perspektif Performance Prism dan Metode AHP pada Waris Cafe." JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI 5, no. 2 (September 30, 2019): 70. http://dx.doi.org/10.36722/sst.v5i2.353.

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<p class="Default"><em>Abstrak</em> – <strong>Dalam keberlangsungan suatu kinerja perusahaan, pentingnya </strong><strong>memiliki satuan baku dalam pengukuran kinerja perusahaan. Jika perusahaan tidak memiliki pengukuran kinerja, hal tersebut ternyata berdampak buruk bagi perusahaan karena tidak adanya bahan evaluasi untuk memperbaiki kinerja perusahaan terutama di bagian sumber daya manusia. </strong><strong>Pada penelitian ini, dilakukan usulan perancangan KPI pada restoran Waris <em>Café </em>dengan menerapkan konsep <em>Gree</em>n HRM. Bertujuan untuk merancang kinerja perusahaan dan turut serta menjaga keseimbangan lingkungan dengan melibatkan seluruh <em>stakeholder</em> restoran. Berdasarkan hasil wawancara dan diskusi dengan pakar, didapatkan </strong><strong>75 KPI secara keseluruhan yang terdiri dari tiap 5 <em>stakeholder</em>, dimana dalam tiap <em>stakeholder</em> memiliki 5 perspektif <em>performance prism</em>, dan dalam tiap 1 perspektif memiliki masing-masing 3 KPI</strong><strong>. Dengan menggunakan metode <em>Analytical Hierarchy Process</em> yang dibantu dengan <em>software Super Decisions</em>, </strong><strong>didapatkan hasil bobot kepentingan <em>stakeholder</em> terpilih yaitu investor dengan bobot 30,38%. </strong><strong>Bobot KPI pada tiap hirarki yaitu, <em>stakeholder </em>investor sebesar 0,1056 terdapat pada KPI peningkatan persentase pendapatan, pemasok sebesar 0,0993 terdapat pada KPI mekanisme <em>quality control</em> yang dilakukan diperketat, pelanggan sebesar 0,1047 terdapat pada KPI penentuan kualitas makanan yang disajikan, karyawan sebesar 0,1349 terdapat pada KPI efektivitas pemberian <em>rewards</em> dan <em>compensation</em> 10% dari pendapatan, regulator sebesar 0,1154 terdapat pada KPI mematuhi aturan yang ditetapkan pemerintah dalam proses bisnis yang dijalankan. </strong><strong></strong></p><p><em>Abstract </em><strong>- </strong><strong>In the sustainability of a company's performance, the importance of having a standard unit in measuring company performance. If the company does not have performance measurements, it turns out to have a bad impact for the company because there is no evaluation material to improve company performance, especially in the human resources section. In this study, the proposed design of KPI in Waris Café restaurant by applying the Green HRM concept. Aiming to not only design company performance, but also to maintain environmental balance by involving all restaurant stakeholders. Based on the results of interviews and discussions with experts, obtained 75 KPIs as a whole consisting of every 5 stakeholders, where each stakeholder has 5 performance prism perspectives, and in each 1 perspective each has 3 KPIs. By using the Analytical Hierarchy Process method which is assisted by the Super Decisions software, the result of the weighting of the interests of the selected stakeholders is investors with a weight of 30.38%. KPI weights in each hierarchy namely, stakeholder investors amounted to 0.1056 contained in KPIs increased percentage of income, suppliers amounted to 0.0993 contained in KPI quality control mechanisms were carried out tightened, customers amounted to 0.1047 contained in KPI determining the quality of food served, employees amounted to 0.1349 contained in KPI effectiveness granting rewards and compensation of 10% of revenue, the regulator of 0.1154 found in KPI complies with the rules set by the government in the business processes carried out.</strong></p><p><strong><em>Keywords</em></strong><strong> - </strong><em>Performance indicator</em>, <em>Performance prism</em><em>, </em><em>Green human resources management, Analytical Hierarchy Process</em></p>
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Ruckli, Antonia Katharina, Sabine Dippel, Nora Durec, Monika Gebska, Jonathan Guy, Juliane Helmerichs, Christine Leeb, Herman Vermeer, and Stefan Hörtenhuber. "Environmental Sustainability Assessment of Pig Farms in Selected European Countries: Combining LCA and Key Performance Indicators for Biodiversity Assessment." Sustainability 13, no. 20 (October 12, 2021): 11230. http://dx.doi.org/10.3390/su132011230.

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The aim of this study was to combine Life Cycle Assessment (LCA) with a Key Performance Indicator (KPI) assessment focusing on biodiversity in order to examine the environmental impacts of different pig farm types (13 breeding, 23 finishing and 27 breeding-to-finishing farms) in seven European countries. In addition, the relationship between environmental impacts and selected farm management characteristics was explored. Fossil energy depletion (FED), global warming (GWP), acidification (AP) as well as marine (MEP) and fresh water (FEP) eutrophication potential were assessed by an attributional LCA and expressed per kilogram body mass net sold (BMNS). In addition, the potential biodiversity performance of all crop-livestock farms within the sample (n = 56) was evaluated with a KPI assessment of biodiversity-related field management characteristics. We found no relationship between LCA results and biodiversity scores (KPI). LCA and biodiversity performance varied more within than across farm types (breeding, finishing, breeding-to-finishing). For example, the GWP expressed per kg BMNS of the breeding unit of breeding-to-finishing farms was on average (median) 2.77 (range: 1.40–4.78) and of breeding farms 2.57 (range: 1.91–3.23) kg CO2-eq. The average (median) biodiversity theme score for breeding farms was 51% (range: 36–70%), for breeding-to-finishing farms 38% (range: 30–68%) and for finishing farms 43% (range: 28–67%). Several farm management characteristics (e.g., FCR, productivity, proportion of solid manure) correlated with all/some LCA results. Biodiversity performance depended especially on KPIs related to ecological focus areas, fertiliser management and GMO crops. The large range regarding environmental performance in both LCA and KPI assessment across farm types indicates that farm-specific improvement measures should be implemented to enhance overall environmental sustainability on farm. In conclusion, combining LCA with KPI assessment provides a more comprehensive environmental impact assessment of pig farms.
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Ponomarenko, Tatiana, Ekaterina Reshneva, and Alexander Patricio Mosquera Urbano. "Assessment of Energy Sustainability Issues in the Andean Community: Additional Indicators and Their Interpretation." Energies 15, no. 3 (February 1, 2022): 1077. http://dx.doi.org/10.3390/en15031077.

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To achieve sustainable development goals (SDGs), it is necessary to solve the problem of assessing and measuring energy sustainability performance. A popular indicator used for this purpose is the World Energy Council (WEC) energy sustainability index, or the Energy Trilemma Index, which is based on such key metrics as energy security, energy equity, environmental sustainability, and country context. Each of the four metrics, or dimensions, includes many indicators that depend on both internal and external factors. By combining a variety of indicators into integral ones, WEC ranks countries in terms of energy sustainability. However, what is not taken into account is how countries differ in terms of economic development, income, energy mix, renewables use, ownership in the energy sector, and other factors, and neither is the methodology itself disclosed by the developers. As a provider for all other sectors of the economy, the energy sector plays an important role in developing countries. Ecuador, Colombia, Peru, and Bolivia, being members of the Andean Community, are neighbors and have similar economic conditions but lack transnational power grid interconnections, which hinders the development of a common energy market. In terms of energy sustainability, these countries’ ranks range from 45 to 101, according to the Energy Trilemma Index. The aim of the study is to develop a new methodology for assessing energy sustainability performance that will factor in the specific features of developing countries with a high share of hydroelectricity generation, and to calculate energy sustainability index indicators taking into account contemporary requirements for sustainable development, which include developing green and renewable energy and fostering decarbonization. This research reveals whether the countries’ energy sustainability indices correspond to their actual performance in energy development and identifies the factors influencing the values of the metrics in the Energy Trilemma Index. The methodology can be used to integrate the energy sectors of countries, as it allows for evaluating the state of the energy sector of several countries (for example, those of the Andean Community) as a whole.
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Santos, Eleonora, and Jacinta Moreira. "Social Sustainability of Water and Waste Management Companies in Portugal." Sustainability 14, no. 1 (December 26, 2021): 221. http://dx.doi.org/10.3390/su14010221.

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The Sustainable Development Goals aim at balancing economic, social and environmental development. In this framework, social sustainability is key to tackle current challenges that hinder the maximization of social satisfaction. Yet, for many years, scholars have negleted the social dimension. A possible explanation may be the difficulty to measure social concepts such as well-being and prosperity. Thus, we argue that, to evaluate sectoral performance, the concept of social sustainability should be translated into metrics, by focusing on the indicators that impact on those social concepts. Consequently, time-series data from Quadros do Pessoal, PORDATA and SABI databases for the sector of Water Collection, Treatment and Distribution, Sanitation, Waste Management and Depollution, are consulted to analyze the evolution of those indicators and evaluate corporate performance concerning social sustainability in 2008–2019. In line with previous literature, we use average wages and employment as proxies for social sustainability. However, we introduce a new indicator, the average term for receipts to carry out an analysis from the stakeholders’ perspective. The results suggest that, especially as of 2017, sectoral firms appear to have reagained their momentum concerning social sustainability performance. This study provides the opportunity to uncover average sectoral trends on social sustainability and paves the way for future research exploring firms’ heterogeneity.
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Tăucean, Ilie, Matei Tămășilă, Larisa Ivascu, Șerban Miclea, and Mircea Negruț. "Integrating Sustainability and Lean: SLIM Method and Enterprise Game Proposed." Sustainability 11, no. 7 (April 9, 2019): 2103. http://dx.doi.org/10.3390/su11072103.

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Sustainability and leanness are organizational approach concepts for more efficient activities and increased competitiveness. This paper presents a study and an application of the concepts of sustainability and lean, with the purpose to capitalize on the benefits of the two concepts’ tools when used together in an industry and education activity. A literature review was carried out to evaluate qualitatively and empirically the concepts of sustainability, lean, and enterprise games, and the possibility to integrate the first two concepts into a new tool applied into an enterprise game. An online survey was done to identify which tools are used within companies in the region, how and what training methods they used, and what the reported benefits are. The survey results were used to design a new tool integrated in a new enterprise game (SLIM) developed by the authors. The game was tested and validated in educational laboratory with students and actual employees from companies. The game follows the frame of an enterprise game, considering the simulation of enterprise classical functions. The game’s purpose is to improve the activity in successive rounds. A scorecard is used to fill in and compute the key performance indicators (KPIs), and a new indicator is proposed (SLIMx). Applications of the instrument/game include: students’ training in an educational laboratory; lifelong learning; professional training in companies; and professional perfection/reconversion of potential employees and the unemployed. The SLIM game was simulated in a team of 15 players over three rounds, with teachers playing the role of the supervisor. A number of possible improvements have been identified. The next step is testing it in enterprises with various fields of activity. SLIM has proven to be an effective solution to improve organizational efficiency and motivate players to gain new knowledge.
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Chaves, Tiago Rabelo, Marcos Aurélio Izumida Martins, Kennedy Alves Martins, Amadeu Fernandes de Macedo, and Silvia de Francisci. "Application Study in the Field of Solutions for the Monitoring Distribution Transformers of the Overhead Power Grid." Energies 14, no. 19 (September 24, 2021): 6072. http://dx.doi.org/10.3390/en14196072.

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This paper will present the development and application of overhead transformers of the distribution grid, as well as the different technologies used for the gathering of electrical quantities, in the field of a monitoring solution. The solution reports the values of the quantities and alarms of operation remotely and almost in real-time. The development of this solution seeks to provide an electrical grid with greater reliability, proposing the reduction of KPIs (Key Performance Indicator), such as SAIDI (System Average Interruption Duration Index) and SAIFI (System Average Interruption Frequency Index), through more transparent monitoring of the behavior of the electrical distribution grid and its equipment. Through the research and development (R&D) project Urban Futurability, ENEL (Ente nazionale per l’energia elettrica) Distribution São Paulo seeks to apply the solution by implementing the concept of smart grids, an idea that has been growing each year by virtue of technological developments and the employment of new sensors in electrical distribution grids. Urban Futurability seeks to innovate the automation area, digital twin, and construction enhancement in the Vila Olímpia neighborhood of São Paulo, Brazil.
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Immonen, Anne, and Maria Kopsakangas-Savolainen. "Capturing Consumers’ Awareness and the Intention to Support Carbon Neutrality through Energy Efficient Consumption." Energies 15, no. 11 (May 30, 2022): 4022. http://dx.doi.org/10.3390/en15114022.

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The EU has several directives aiming toward carbon neutrality and is attempting to promote and encourage individual electricity consumers to participate in this endeavor. The key idea behind consumer awakening and activation is to push consumers to become aware of their electricity consumption behavior. The purpose of this paper was to examine the current consumption behavior of Finnish electricity consumers and their intention to support the goals of carbon neutrality through energy efficient consumption. The aim was to reveal how far the consumption behavior of people was from the intention to tackle climate change. To reach this goal, a qualitative research method was applied to evaluate the consumer awareness and intentions. A consumer survey was conducted to enable standardized and consistent data collection. The research utilized a key performance indicator (KPI) approach to evaluate the results: the social KPIs connected with qualitative values provide a comprehensive approach. According to the results, the awareness of consumers of their consumption behavior was not very high, and some data needs can be identified. In addition, clear intentions can be detected among the residents to support the environment and to save energy. However, the consumers did not seem to be aware of the available data and existing services that could help them to improve their energy efficiency. Therefore, more motivation and communication is still required to affect the electricity consumption behavior.
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Ateeq, Muhammad, Muhammad Khalil Afzal, Muhammad Naeem, Muhammad Shafiq, and Jin-Ghoo Choi. "Deep Learning-Based Multiparametric Predictions for IoT." Sustainability 12, no. 18 (September 19, 2020): 7752. http://dx.doi.org/10.3390/su12187752.

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Wireless Sensor Networks (WSNs) and Internet of Things (IoT) often suffer from error-prone links when deployed in resource-constrained industrial environments. Reliability is a critical performance requirement of loss-sensitive applications, and Signal-to-Noise Ratio (SNR) is a key indicator of successful communications. In addition to the improvement of the physical layer through modulation and channel coding, machine learning offers adaptive solutions by configuring various communication parameters dynamically. In this paper, we apply a Deep Neural Network (DNN) to predict SNR and Packet Delivery Ratio (PDR). Analysis results based on a real dataset show that the DNN can predict SNR and PDR at the accuracy of up to 96% and 98%, respectively, even when trained with very small fraction (≤10%) of data. Moreover, a common subset of features turns out to be useful in predicting both SNR and PDR so as to encourage considering both metrics jointly. We may control the transmission power in the dynamic and adaptive manner when we have predictable SNR and PDR, and thus fulfill the reliability requirements with energy conservation. This can help in achieving sustainable design for the communication system.
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Smith, Rhiannon, Julian Reid, Laura Scott-Morales, Stuart Green, and Nick Reid. "A baseline survey of birds in native vegetation on cotton farms in inland eastern Australia." Wildlife Research 46, no. 4 (2019): 304. http://dx.doi.org/10.1071/wr18038.

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Context The Australian cotton industry has committed to (1) understanding the biodiversity value of remnant native vegetation on cotton farms, (2) funding independent, evidence-based assessments of the industry’s sustainability and environmental performance, and (3) investing in research that reports against recognised sustainability indicators. Aims The present study reports the results of an industry-wide survey to benchmark bird diversity in native vegetation on cotton farms spanning a 1260-km north–south subcontinental gradient from Central Queensland (Qld) to Southern New South Wales (NSW). Methods Between September and November 2014, birds were sampled twice on separate days in 2-ha quadrats (20 min per census) in eight remnant vegetation types as well as in native revegetation at 197 sites on 60 cotton farms spread across the principal cotton-growing zones (Central Qld, Border Rivers, Macquarie and Southern NSW) in inland eastern Australia. Key results We recorded 185 bird species in remnant and planted native vegetation on cotton farms. Species richness of bird communities declined from north to south. Bird community composition was similar in the three southern zones, differing somewhat in the north. The most frequent species were large (&gt;60 g), readily detected landbirds common in agricultural districts, but 26 of the 53 extant species of conservation concern in the study region were also recorded, including 16 species of declining woodland birds. Bird composition, abundance, richness and diversity differed among the nine native vegetation types, with maximal and minimal bird abundance and diversity metrics recorded in river red gum-dominated riparian vegetation and grassland respectively. Conclusions Each remnant vegetation community had a generally distinct bird assemblage, indicating that all vegetation types contribute to regional biodiversity in cotton-growing zones in inland eastern Australia. Appropriate on-farm management of all remnant and planted native vegetation will assist regional biodiversity conservation. Implications For the Australian cotton industry to meet its stated environmental responsibilities, growers should be encouraged to prioritise the conservation management of remnant, riparian and planted native vegetation on cotton farms and the monitoring of bird species as an indicator of regional biodiversity response.
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"Assessing Sustainability of General Insurance Business through Real Time KPI using GPUs and Neural Networks." International Journal of Recent Technology and Engineering 8, no. 4S2 (December 31, 2019): 620–28. http://dx.doi.org/10.35940/ijrte.d1129.1284s219.

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Sustainability of a company is driven by its operational efficiency. The operational efficiency plays a significant role in a company’s growth and profitability. Thus, it forms the foundation for the metrics of performance known as the Key Performance Indicators (KPIs). The KPIs establishes a connection between the concept of performance and the means to gauge the same. In this work, we use a neural network with two fully connected layers for analyzing and predicting the factors which are used for calculating the KPIs. The implementation was done with the help of a Graphics Processing Unit for running the complex calculations. The KPIs are obtained for the projected factors and the inference was done for five different non- life insurers in India, based on the public disclosure data available with insurance supervisors in India
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Yadav, Sanjeev, Dixit Garg, and Sunil Luthra. "Development of IoT based data-driven agriculture supply chain performance measurement framework." Journal of Enterprise Information Management ahead-of-print, ahead-of-print (June 29, 2020). http://dx.doi.org/10.1108/jeim-11-2019-0369.

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PurposePerformance measurement (PM) of any supply chain is prerequisite for improving its competitiveness and sustainability. This paper develops a framework for supply chain performance measurement (SCPM) for agriculture supply chain (ASC) based on internet of things (IoT). Moreover, this article explains the role of IoT in data collection and communication (SC visibility) based on the supply chain operation reference (SCOR) model.Design/methodology/approachThis research identifies various key performance indicators (KPIs) and also their role in SCPM for improving its sustainability by using SCOR. Further, Shannon entropy is utilized for weighing the basic processes of SCPM and by using weights, fuzzy TOPSIS is applied for ranking of identified KPIs at metrics level 2 (deeper level).Findings“Flexibility” and “Responsiveness” have been reported as two most important KPIs in IoT based SCPM framework for ASC towards achieving sustainability.Research limitations/implicationsIn this research, metrics are explained only at SCOR level 2. But, this research will guide the managers and practitioners of various organizations to set their benchmark for comparing their performance at different levels of business processes. Further, this paper has managerial implications to develop an effective system for PM of IoT based data-driven ASC.Originality/valueBy using IoT based data driven system, this article fills the gap between SCPM by measuring different SC strategies in their performance measurable form of reliable, responsive and asset management etc.
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"Assessing the sustainability of General Insurance Business through Real Time Monitoring of KPIs using Recurrent Neural Network." Regular 9, no. 3 (September 30, 2020): 728–38. http://dx.doi.org/10.35940/ijrte.c4679.099320.

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Acompany’ssustainability is driven significantly by its operational efficiency. Operational efficiency plays a significant role in the growth and the profitability of a company. Thus, operational efficiency of a company forms the basis for the metrics known as the Key Performance Indicators(KPIs). These KPIs bridge the concept of performance an operation and a means to measure the same quantitatively. In this work, we used Recurrent Neural Network (RNN) with the Long Short Term Memory(LSTM) cells for projecting the public disclosure data of select General Insurance(GI) companies operating in India to the future. We use this data to calculate the KPIs pertaining to the operations of general insurance companies and calculate how the operations of the GI company affect its performance at various levels. Since this analysis is done for the projected data, we get a framework to assess the sustainability of the GI companies by monitoring these KPIs in real-time. The complex RNN and LSTM algorithms were implemented with the help of the Google Colaboratory platform by using the GPUs of the Google Hardware with the help of the Cloud Computing framework.
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González, Ana Belén Rodríguez, Mark Richard Wilby, Juan José Vinagre Díaz, Rubén Fernández Pozo, and Carmen Sánchez Ávila. "Utilization rate of the fleet: a novel performance metric for a novel shared mobility." Transportation, December 7, 2021. http://dx.doi.org/10.1007/s11116-021-10244-x.

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AbstractCar-sharing systems have irrupted in our cities following the shared mobility paradigm. They have evolved the personal mobility market from product-based into service-oriented, which ultimately provides a positive impact on the city’s sustainability. Car sharing systems are a complex interactive service, whose dynamics can dramatically affect its operational viability. In order to better asses this viability, we must rely on data to produce novel metrics that characterize both the user behavior and the service performance. Up to date, research has focused on modeling the demand on the basis of the number of rentals that start within a specific time slot. However, this approach seems unable to provide a representative metric of the performance of a car-sharing system. In this paper, we propose a novel metric, the utilization rate of the fleet, which considers the precise number of vehicles within a fleet that are in service every minute of the day. From this basic metric, we derive a key performance indicator (KPI) to reflect the viability of any car-sharing system in economic and sustainability terms. We have applied this new metric and KPI to a dataset with 449 days of car2go data, collected in 10 European cities.
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Kibira, Deogratias, Michael P. Brundage, Shaw Feng, and K. C. Morris. "Procedure for Selecting Key Performance Indicators for Sustainable Manufacturing." Journal of Manufacturing Science and Engineering 140, no. 1 (November 3, 2017). http://dx.doi.org/10.1115/1.4037439.

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The need for an open, inclusive, and neutral procedure in selecting key performance indicators (KPIs) for sustainable manufacturing has been increasing. The reason is that manufacturers seek to determine what to measure to improve environmental sustainability of their products and manufacturing processes. A difficulty arises in understanding and selecting specific indicators from many stand-alone indicator sets available. This paper presents a procedure for individual manufacturers to select KPIs for measuring, monitoring, and improving environmental aspects of manufacturing processes. The procedure is the basis for a guideline, being proposed for standardization within ASTM International. That guide can be used for (1) identifying candidate KPIs from existing sources, (2) defining new candidate KPIs, (3) selecting appropriate KPIs based on KPI criteria, and (4) composing the selected KPIs with assigned weights into a set. The paper explains how the developed procedure complements existing indicator sets and sustainability-measurement approaches at the manufacturing process level.
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Dissanayake, Dinithi. "Sustainability key performance indicators and the global reporting initiative: usage and challenges in a developing country context." Meditari Accountancy Research ahead-of-print, ahead-of-print (October 14, 2020). http://dx.doi.org/10.1108/medar-08-2019-0543.

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Purpose First, this paper aims to explore the extent of the global reporting initiative (GRI) sustainability key performance indicator (KPI) usage in sustainability reporting by businesses operating in Sri Lanka. Second, using a contingency theory approach, this research examines the factors which promote or inhibit the use of the GRI framework to adopt sustainability KPIs in a developing country context, Sri Lanka. Design/methodology/approach Content analysis and semi-structured interviews are used in this study to explore the key factors which affect the usage of the GRI framework by Sri Lankan companies in adopting sustainability KPIs and reporting on sustainability. Findings The findings indicate that the GRI framework is increasingly used for sustainability reporting by Sri Lankan companies because of its flexibility, consistency, legitimacy and its focus on continuous improvement. However, company managers also shed light on the extensive number of KPIs in the GRI framework making selections challenging and the consequent difficulties associated with adapting these KPIs for companies operating in a developing country context. Research limitations/implications This study contributes to extending the broader literature on sustainability reporting in developing countries and specifically on sustainability KPIs. Second, this paper adds to the current empirical research on sustainability reporting in Sri Lanka where the literature is still sparse. Third, this study highlights the key factors that support or hinder the usage of the GRI framework in a developing country context. Practical implications Important insights for GRI, other standard-setting agencies and businesses can be drawn from the findings of this study. By capitalising further on the training and the educational courses provided by GRI, GRI can be involved in mitigating some of the pressing issues faced by the reporting companies. Originality/value This study adds to the limited research on sustainability reporting and sustainability KPIs in developing country contexts. It shows how companies in Sri Lanka are engaging with sustainability KPIs and sustainability reporting, but are also constrained by the GRI framework as its standards are not tailored to issues in developing countries.
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Ghanbaripour, Amir Naser, Craig Langston, Roksana Jahan Tumpa, and Greg Skulmoski. "Validating and testing a project delivery success model in construction: a mixed-method approach in Australia." Smart and Sustainable Built Environment, January 23, 2023. http://dx.doi.org/10.1108/sasbe-09-2022-0200.

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PurposeDespite considerable research on the subject, there is still some misunderstanding about what characterizes successful project delivery in construction projects. Evaluating project delivery success is crucial for organizations since it enables them to prepare for future growth through more effective project management mechanisms and rank the organization's projects for continuous improvement. There is considerable disagreement over a set of success criteria that can be applied to all kinds of projects when evaluating project delivery success, making it a complicated procedure for practitioners and scholars. This research seeks to alleviate the problem by validating and testing a systematic project delivery success model (3D integration model) in the Australian construction industry. The aim is to establish a dependable approach built upon prior research and reliable in evaluating delivery success for any project type.Design/methodology/approachBased on a novel project delivery success model, this research applies a case study methodology to analyse 40 construction projects undertaken by a single Australian project management consultancy. The research utilizes a mixed-method research approach and triangulates three sets of data. First, the project delivery success (PDS) scores of the projects are calculated by the model. Second, a qualitative analysis targeting the performance of the same projects using a different system called the performance assessment review (PAR) scores was obtained. These culminate in two sets of ranking. The third step seeks validation of results from the head of the partnering organization that has undertaken the projects.FindingsThe findings of this study indicate that the 3D integration model is accurate and reliable in measuring the success of project delivery in construction projects of various sizes, locations and durations. While the model uses six key performance indicators (KPIs) to measure delivery success, it is evident that three of these may significantly improve the likelihood of PDS: value, speed and impact. Project managers should focus on these priority aspects of performance to generate better results.Research limitations/implicationsRestrictions inherent to the case study approach are identified for this mixed-method multiple-case study research. There is a limitation on the sample size in this study. Despite the researcher's best efforts, no other firm was willing to share such essential data; therefore, only 40 case studies could be analysed. Nonetheless, the number of case studies met the literature's requirements for adequate units for multiple-case research. This research only looked at Australian construction projects. Thus, the conclusions may not seem applicable to other countries or industries. The authors investigated testing the PDS in the construction sector. It can assist in improving efficiency and resource optimization in this area. Nonetheless, the same technique may be used to analyse and rank the success of non-construction projects.Originality/valueDespite the research conducted previously on the PDS of construction projects, there is still confusion among researchers and practitioners about what constitutes a successful project delivery. Although several studies have attempted to address this confusion, no consensus on consistent performance metrics or a practical project success model has been formed. More importantly, (1) the ability to measure success across multiple project types, (2) the use of triple bottom line (TBL) to incorporate sustainability in evaluating delivery success and (3) the use of a complexity measurement tool to adjust delivery success scores set the 3D integration model apart from others.
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Lopes, Hugo, Andrea Rodrigues Lopes, Helena Farinha, and Ana Paula Martins. "Defining clinical pharmacy and support activities indicators for hospital practice using a combined nominal and focus group technique." International Journal of Clinical Pharmacy, June 24, 2021. http://dx.doi.org/10.1007/s11096-021-01298-z.

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AbstractBackground Although clinical pharmacy is a crucial part of hospital pharmacist’s day-to-day activity, its performance is not usually subject to a holistic assessment. Objective To define a set of relevant and measurable clinical pharmacy and support activities key performance indicators (cpKPI and saKPI, respectively). Setting Portuguese Hospital Pharmacies. Method After a comprehensive literature review focusing on the metrics already in use in other countries, several meetings with directors of hospital pharmacies were conducted to obtain their perspectives on hospital pharmacy practices and existing metrics. Finally, five rounds with a panel of 8 experts were performed to define the final set of KPIs, where experts were asked to score each indicator’ relevance and measurability, and encouraged to suggest new metrics. Main outcome measure The first Portuguese list of KPIs to assess pharmacists’ clinical and support activities performance and quality in hospital pharmacies. Results A total of 136 KPIs were assessed during this study, of which 57 were included in the original list and 79 were later added by the expert panel. By the end of the study, a total of 85 indicators were included in the final list, of which 40 are considered to be saKPI, 39 cpKPI and 6 neither. Conclusion A set of measurable KPIs was established to allow for benchmarking within and between Portuguese hospital Pharmacies and to elevate professional accountability and transparency. Future perspectives include the use of both cpKPIs and saKPIs on a national scale to identify the most efficient performances and areas of possible improvement.
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Mourtzis, Dimitris, Anna-Maria Papatheodorou, and Sophia Fotia. "Development of a Key Performance Indicator Assessment Methodology and Software Tool for Product-Service System Evaluation and Decision-Making Support." Journal of Computing and Information Science in Engineering 18, no. 4 (July 3, 2018). http://dx.doi.org/10.1115/1.4040340.

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During the last decade, as a result of their constant urge to retain sustainability, companies have shifted to the product-service system (PSS) business model, in an effort to gain competitive advantages. PSS providers have realized the importance of offering highly perceived solutions; thus, the necessity of monitoring the performance of PSSs and evaluating them has intensified. However, not much work has been conducted toward that direction, especially focusing on its practical application. In the current work, a holistic approach for PSS evaluation using key performance indicators (KPIs) is proposed, extending to all its lifecycle phases and covering aspects from both provider's and customer's perspectives. A software tool was developed to assist the decision maker in the selection of appropriate KPIs to monitor for PSS evaluation and additionally, to offer KPIs data collection, storage, processing, and visualization capabilities. The proposed methodology was applied in a real industrial case of the mold making area to validate its results.
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Lishchytovych, Andriy, and Volodymyr Pavlenko. "Computable metrics of personal performance in software development teams." Visnyk Universytetu “Ukraina”, 2019. http://dx.doi.org/10.36994/2707-4110-2019-1-22-28.

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The present article describes setup, configuration and usage of the key performance indicators (KPIs) of members of project teams involved into the software development life cycle. Key performance indicators are described for the full software development life cycle and imply the deep integration with both task tracking systems and project code management systems, as well as a software product quality testing system. To illustrate, we used the extremely popular products - Atlassian Jira (tracking development tasks and bugs tracking system) and git (code management system). The calculation of key performance indicators is given for a team of three developers, two testing engineers responsible for product quality, one designer, one system administrator, one product manager (responsible for setting business requirements) and one project manager. For the key members of the team, it is suggested to use one integral key performance indicator per the role / team member, which reflects the quality of the fulfillment of the corresponding role of the tasks. The model of performance indicators is inverse positive - the initial value of each of the indicators is zero and increases in the case of certain deviations from the standard performance of official duties inherent in a particular role. The calculation of the proposed key performance indicators can be fully automated (in particular, using Atlassian Jira and Atlassian Bitbucket (git) or any other systems, like Redmine, GitLab or TestLink), which eliminates the human factor and, after the automation, does not require any additional effort to calculate. Using such a tool as the key performance indicators allows project managers to completely eliminate bias, reduce the emotional component and provide objective data for the project manager. The described key performance indicators can be used to reduce the time required to resolve conflicts in the team, increase productivity and improve the quality of the software product.
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Hristov, Ivo, Andrea Appolloni, Wenjuan Cheng, and Michelina Venditti. "Enhancing the strategic alignment between environmental drivers of sustainability and the performance management system in Italian manufacturing firms." International Journal of Productivity and Performance Management, August 24, 2022. http://dx.doi.org/10.1108/ijppm-11-2021-0643.

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PurposeThe purpose of this paper is to provide managers with suitable strategic KPIs in decision-making processes, which aim to integrate the environmental dimension of sustainability at a business level in manufacturing organisations.Design/methodology/approachIn view of the research proposal addressed, semi-structured interviews were conducted, based on theoretical milestones of the performance management system (PMS), with 48 managers that work in Italian manufacturing firms and specialise in green practices.FindingsThe authors developed a novel environmentally performed framework to adequately integrate environmental value drivers at a strategic level.Practical implicationsThe resulting issues addressed in this paper, and their integration in the business strategy for managing environmental complexity, allows contributing, firstly, to the existing literature by suggesting the relevant key value drivers that need to be mostly studied from an accounting point of view. In addition, from these results, though their experience managers will have up-to-date key measures that could, in the future, help the integration process between the environmental aspect of the sustainability dimension and the PMS.Originality/valueThe results generate a robust roadmap for future analysis in this research field. Accordingly, the paper engenders a strategic alignment in the green transition process, providing scholars and practitioners with a clear view of the key sustainable drivers, metrics and potential solutions that have not been addressed to date.
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Narayanan, Muthalagappan. "Annual Evaluation of a Model Predictive Controller in an Integrated Thermal-Electrical Renewable Energy System Using Clustering Technique." Journal of Energy Resources Technology 143, no. 5 (March 23, 2021). http://dx.doi.org/10.1115/1.4050493.

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Abstract Whitebox model in a model predictive controller (MPC) for energy systems, though does help in developing an accurate system model, requires a long time for optimization. In this article, an adaptation of the clustering technique used in hardware-in-the-loop testbench is proposed for evaluation of the MPC on an annual scale with selected six representative days in a year for that particular system and location. Initially, the various input parameters for clustering (algorithm, distance metric, and datapoint input dimensions) are studied for the selected thermal-electrical integrated renewable energy system (with solar thermal collectors, auxiliary gas boiler, stratified thermal storage, micro fuel cell combined heat and power (FC-CHP), photovoltaic system, a lithium-ion battery) for a Sonnenhaus standard single-family residential building. Finally, the proposed methodology is used to compare the annual derived energy values and key performance indicators (KPIs) for an MPC implementation with a status quo controller as a reference. Also, extreme exemplary weather days are investigated as the selected representative days were only average days in each season. Despite the conflict of using the FC-CHP on cold sunny days, instead of utilizing the battery and increased gas boiler energy input, a 9% increase in decentral system fraction is reported. Via the use of MPC instead of status quo controllers, the results indicate −18% space heating (SH) demand; +30% solar thermal energy production; −29% gas boiler energy supply; −52% power-to-heat thermal energy supply; −52% electrical fuel cell production; +240 kWh battery utilization; and −52% reduced grid import at the expense of 1.2% of the electrical load demand as grid import.
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39

Tritoasmoro, Iwan Iwut, Udisubakti Ciptomulyono, Wawan Dhewanto, and Tatang Akhmad Taufik. "Determinant factors of lean start-up-based incubation metrics on post-incubation start-up viability: case-based study." Journal of Science and Technology Policy Management, September 13, 2022. http://dx.doi.org/10.1108/jstpm-12-2021-0187.

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Purpose This paper aims to investigate the effect of business incubation metrics based on an adaptation of the lean start-up (LS) framework on start-up survival after incubation. This study also analyzes the obstacles in implementing the LS framework as incubation metrics. Design/methodology/approach This study uses mixed methods. Quantitative research using multiple linear regression was applied to the data of 30 start-ups incubated at Bandung Techno Park for the 2014–2017 period and survival tracking data after the incubation. A qualitative approach to complete the explanatory work was conducted through in-depth interviews with 12 respondents, including start-up graduates from the incubation program, program managers and mentors. Findings This study confirms that several LS incubation metrics significantly affect start-up sustainability after incubation. In addition, this study also explains several problems in applying the LS discipline that needs attention to increase incubation success. Research limitations/implications Research was conducted only at one technology business incubator (TBI) model that focuses on digital start-ups in the emerging ecosystem. Research results can be biased in different situations and ecosystems. Practical implications The explanation of the relationship of LS-based incubation metrics to the survival of start-ups, as well as the challenges of their implementation, can be a reference for TBI management to consider and prioritize intervention strategies, thereby improving TBI’s business processes and increasing the success rate of incubated start-ups. Social implications The creation of university start-ups and spin-offs has become a key performance indicator mandatory for technology universities in Indonesia. The existence of TBI institutions in universities as channels of technology commercialization is essential. The incubator’s success in creating a new technology-based company will have a significant social impact on the surrounding environment. Originality/value Although the LS method is popular in start-up communities and among practitioners, it is rarely used in the incubation process at universities. These results can be considered for university TBIs to explore LS as an incubation management tool to increase the success rate of incubated start-ups.
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Sládková, Jitka, Daniela Kolomazníková, Sylvie Formánková, Oldřich Trenz, Jan Kolomazník, and Oldřich Faldík. "Sustainable and responsible investment funds in Europe." Measuring Business Excellence ahead-of-print, ahead-of-print (May 18, 2021). http://dx.doi.org/10.1108/mbe-07-2019-0072.

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Purpose The sustainable and responsible investing (SRI) is the part of sustainable investment which focusses on mutual funds. The purpose of this paper is to map and evaluate all the active European SRI funds, their performances and correlation with the national identity. Design/methodology/approach The sample of the research was analysed with descriptive statistics, mainly the frequency, the mean and the correlation analysis. A well-known volatility is represented by the synthetic risk and reward indicator (SRRI). Other two ratings are the environmental, social and governance (ESG) funds score distribution and the ESG funds letter rating distribution. Findings SRI investment may seem to be performing better than in the funds with a different focus. The segment of SRI funds will grow for the next decade. Research limitations/implications There is a lack of definitions and clear metrics for sustainable investing. For better performance, it would be also appropriate to examine each country separately. Practical implications This paper is part of the project targeting to design a model and methodology of SI evaluation taking into account ESG factors and risks, including profitability in a selected sector. This model can be used by investors for better decision-making. Social implications The paper focusses on the funds selecting investments that fulfil ESG criteria, which are part of the social responsibility and sustainability. Originality/value An analysis of the current approaches to evaluating investments shows that the key barrier in the transitions to sustainable investment is not taking into account the ESG factors. The research in this paper includes the ESG factors in the evaluation.
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Aithal, P. S., and Shubhrajyotsna Aithal. "A Comparative Study on Research Performance of Indian Universities with NAAC A++ grade Accreditation." International Journal of Management, Technology, and Social Sciences, June 23, 2021, 253–85. http://dx.doi.org/10.47992/ijmts.2581.6012.0144.

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Background/Purpose: Developing and Maintaining quality in higher education is an essential aspect of the sustainability of universities. National Assessment and Accreditation Council (NAAC), India has developed a new model of HEIs assessment and accreditation from July 2017. Based on its assessment, NAAC announces the final result in the form of Cumulative Grade Point Average (CGPA) between 0 to 4.0, which is a combination of evaluation of qualitative and quantitative metrics with three parts including peer team report, graphical representation based on quantitative metric, and institutional grade sheet. Out of more than 380 universities assessment out of about 950 universities as on 30/042021, only 9 universities have been graded as A++ letter grade by NAAC. Objectives: Study on Criteria wise performance of top nine A++ scored Indian Universities according to NAAC Accreditation, full scores obtained in various criteria with reasons, compare research performance and analyse it using ABC model of research productivity, the effect of organizational leaders as role models on the research output, and to critically analyse the organizational SWOC based on NAAC data and outcome. Design/Methodology/Approach: Analysis of information collected from self-study reports of NAAC A++ graded universities, comparing and analyzing criteria wise, and analyzing research productivity of these universities and their leaders using ABC model of annual Research performance framework. Findings/Result: Out of nine NAAC A++ graded universities, five universities got full scores in the Curricular Aspects criterion. The universities are ranked based on their overall scores in the accreditation process. Based on the scores obtained in different criteria, the strengths and weaknesses of these universities are studied. These nine universities are further ranked based on their annual research performance and the leaders/Vice-chancellors research annual research productivity by considering the last five years research productivity. It is observed that many vice-chancellors failed to contribute to universities research outcomes as role models and motivators to other researchers of these universities. A comparative study on research performance-based grading is found to be ambiguous and little disparity is observed on key indicator-based university grading. Based on observations, some general recommendations are suggested. Research limitations/implications: This study used the data from the Self-study Report, Peer Team Report, and Grade Report of respective universities kept for public reference in the NAAC website in accordance with the new accreditation framework, downloaded on 30/04/2021. Originality/Value: This paper compares the research performance of nine NAAC A++ accredited universities of India using their last 5 years’ research data and identifies the strengths, weaknesses, opportunities, and challenges of these universities for further improvement. Paper Type: Explorative Research based on research analysis.
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