Explore the vast range of titles available.

Purpose In this paper, using the antecedents, decisions and outcomes (ADO) framework, the factors/key performance indicators (KPIs) most relevant for creating or building a learning organization (LO) are identified. This study aims to contribute to the field of knowledge management (KM) in terms of introducing KPIs to foster a business organization with a continuous learning process, mechanisms of knowledge creation and memorization. Design/methodology/approach In total, 57 papers were selected for this systematic literature review (SLR) from Web of Science and Scopus covering the period 1985–2019. Findings The 12 most relevant KPIs are identified based on the literature survey conducted in the field of LO. Research limitations/implications The managerial implications of this review paper will be an added advantage to the modern business organization worldwide that have adopted KM practices to foster knowledge management with information technology (IT) infrastructure. As IT infrastructure focuses on knowledge acquisition, dissemination and storage but the KPIs revealed through this review will help in transforming stored information as learning for the organization to improve its overall performance. Originality/value This review synthesizes prior studies and provides directions for future research.

Recent studies on global performance indicators (GPIs) reveal the distinct power that nonstate actors can accrue and exercise in world politics. How and when does this happen? Using a mixed-methods approach, we examine the impact of the Aid Transparency Index (ATI), an annual rating and rankings index produced by the small UK-based NGO Publish What You Fund. The ATI seeks to shape development aid donors' behavior with respect to their transparency—the quality and kind of information they publicly disclose. To investigate the ATI's effect, we construct an original panel data set of donor transparency performance before and after ATI inclusion (2006–2013) to test whether (and which) donors alter their behavior in response to inclusion in the ATI. To further probe the causal mechanisms that explain variations in donor behavior we use qualitative research, including over 150 key informant interviews conducted between 2010 and 2017. Our analysis uncovers the conditions under which the ATI influences powerful aid donors. Our mixed-methods evidence reveals how this happens. Consistent with Kelley and Simmons's central argument that GPIs exercise influence via social pressure, we find that the ATI shapes donor behavior primarily via direct effects on elites: the diffusion of professional norms, organizational learning, and peer pressure.

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.

PurposeCreating visibility in the supply chain (SC) helps in making it resilient. Integrating the SC with Industry 4.0 key enabling technologies creates visibility and sustainability in SCs. It also fosters intelligent decision-making, thereby making a SC smart. However, how Industry 4.0 technologies affect key performance indicators (KPIs) of a resilient SC and may help achieve sustainability is rarely studied.Design/methodology/approachSixteen KPIs were identified from the literature review and analyzed using fuzzy analytic hierarchy process (FAHP) using expert opinions. Further, a sensitivity analysis was conducted for the KPIs by varying the weightage of the criteria. Later, KPIs results were analyzed, and (1) how and which Industry 4.0 technology helps improve the KPI? (2) Resilience relationship with sustainability? were discussed.FindingsThe analyses show that the time-oriented (TO) is an essential criterion and organizational (OR) is the less important comparatively. Lead time, time to market and risk assessment frequency are the top KPIs that need a focus. Blockchain, Big Data and Cyber-physical systems enhance KPI's value and, in turn, foster economic, environmental and social sustainability of the SC and help in better decision making in terms of smart contracts, better forecasting and enhanced real-time information sharing.Originality/valueIdentification of the KPIs, the impact of Industry 4.0 technologies and the impact on sustainability; this kind of interplay is rarely evident in the literature. Understanding the findings of this research will help managers develop smart systems that may work intelligently to overcome risks associated and enhance sustainability. Academicians can use the findings and conduct future research that can overcome the limitations of this research.

Over the past 20 years, the issue of performance measurement in Social Enterprises (SEs) has gained increasing relevance among researchers and practitioners. From an academic perspective, there has been an explosion in methodologies and tools for assessing social performance and impact, but with little systematic analysis and comparison across different approaches. From a practitioner perspective, SEs need to start measuring their performances in a systemic way, in order to support decision making and ensure accountability towards their stakeholders. In this context, this paper aims to contribute to the state of the art literature by developing an approach that could be applied to/by SEs to measure their results with respect to social, environmental and economic impacts. The proposed approach consists of a \"general\" PMS model for SEs—i.e., the performance dimensions that should be measured—and a stepwise method to be used by SEs to develop their own PMS. For sake of clarification, the proposed approach is applied to the case of an Italian SE competing in the energy sector to develop a set of key performance indicators. Les vingt dernières années ont vu croître la pertinence donnée à la problématique de l'évaluation des performances des entreprises sociales (ES) par les chercheurs et les professionnels du secteur. Du côté universitaire, nous avons assisté à une explosion des méthodologies et des outils d'évaluation de performances et d'impact sociaux, toutefois peu accompagnée d'analyses et de comparaisons systématiques entre les différentes approches. Du côté des professionnels, les ES doivent mettre en œuvre une évaluation systémique de leurs performances afin d'aider à la prise de décision et de pouvoir rendre des comptes à leurs partenaires. Dans un tel contexte, cet article se veut une contribution à la littérature portant sur l'état de l'art: il élabore une approche applicable aux ou par les ES, visant à mesurer leurs résultats en termes d'impact social, environnemental et économique. L'approche proposée consiste d'une part en un modèle « général » de système de gestion de la performance (SGP) adapté aux ES, en d'autres termes, les dimensions de performance qu'il faut mesurer, et d'autre part en une méthode pas-à-pas destinée aux ES pour leur permettre d'élaborer leur propre SGP. Dans un souci de clarté, cette approche est appliquée au cas d'une ES italienne oeuvrant dans le domaine de l'énergie pour développer un ensemble d'indicateurs de performances clés. In den letzten 20 Jahren hat das Thema Leistungsmessung in Sozialunternehmen für Forscher und Praktiker zunehmend an Bedeutung gewonnen. Aus der akademischen Perspektive betrachtet gab es einen wahren Ausbruch von Methodologien und Instrumenten zur Messung der gesellschaftlichen Leistung und Auswirkung, jedoch gingen diese mit nur geringer systematischer Analyse und wenig Vergleiche zwischen den verschiedenen Ansätzen einher. Aus der praxisorientierten Perspektive müssen Sozialunternehmen ihre Leistungen systematisch messen, um ihre Entscheidungsfindungen zu unterstützen und die Wahrnehmung ihrer Rechenschaftspflicht gegenüber ihren Stakeholdern zu gewährleisten. In diesem Zusammenhang möchte die vorliegende Abhandlung zur neuesten Literatur beitragen. Dazu wird ein Ansatz entwickelt, der auf Sozialunternehmen anwendbar ist bzw. der von diesen verfolgt werden kann, um ihre Ergebnisse in Bezug auf die gesellschaftlichen, ökologischen und wirtschaftlichen Auswirkungen zu messen. Der vorgeschlagene Ansatz beinhaltet ein „allgemeines\"Modell für ein Leistungsmanagementsystem für Sozialunternehmen, d. h. die zu messenden Leistungsdimensionen, sowie eine stufenweise Methode, die von den Sozialunternehmen anzuwenden ist, um ihre eigenen Leistungsmanagementsysteme zu entwickeln. Der Klarheit halber wird der vorgeschlagene Ansatz auf das Beispiel eines italienischen Sozial Unternehmens im Energiesektor angewandt, das bestrebt ist, eine Reihe wichtiger Leistungsindikatoren zu entwickeln. A lo largo de los últimos veinte años, el problema de la medición del rendimiento en las Empresas Sociales (SE, del inglés Social Enterprise) ha cobrado una creciente relevancia entre los investigadores y los profesionales. Desde una perspectiva académica, se ha producido una explosión en las metodologías y las herramientas para la evaluación del rendimiento y el impacto social, pero se han realizado pocos análisis sistemáticos y comparaciones entre los diferentes enfoques. Desde una perspectiva profesional, las SE necesitan comenzar a medir su rendimiento de manera sistèmica, con el fin de apoyar la toma de decisiones y garantizar la rendición de cuentas ante sus partes interesadas. En este contexto, el presente documento tiene como objetivo contribuir al material publicado de vanguardia mediante el desarrollo de un enfoque que podría ser aplicado a/por las SE para medir sus resultados con respecto a los impactos sociales, medioambientales y económicos. El enfoque propuesto consiste en un modelo PMS \"general\" para las SE, es decir, las dimensiones del rendimiento que deben ser medidas—y un método escalonado que deben utilizar las SE para desarrollar su propio PMS (sistema de medición del rendimiento). Con fines de aclaración, el enfoque propuesto se aplica al caso de una SE italiana que compite en el sector energético para desarrollar un conjunto de indicadores del rendimiento claves.

Sustainable supply chain management (SSCM) has received extensive attention by academia and industries recently. However, there are increasing yet still scarce studies measuring the social sustainability performance of supply chain and discussing the interrelationship between social and economic sustainability. Further, the measurement does not fully utilize key performance indicators (KPIs) attributing to the lack of understanding of precise quantitative gauge of the supply chain social sustainable performance. To bridge this gap, this study analyses the social and economic sustainability performance in terms of demand planning, innovation, manufacturing, finance, sales and customer relationship, distribution and delivery and compliance. A framework is proposed to locate key metrics to evaluate the social sustainable supply chain (SSC) performance. A hybrid fuzzy-AHP–DEMATEL–VIKOR method is designed to investigate the social sustainability of supply chain. Data analysis and a case study are given to validate and support the feasibility and potency of the proposed approach. The robustness of our proposed model is executed via sensitivity analysis. From the proposed framework, demand planning and distribution and delivery are found to be the most critical criteria in economic and social dimension, respectively.

PurposeInfertility is increasing worldwide, and many couples seek IVF. Clinical management and laboratory work are fundamental in the IVF journey. Therefore, the definition of reliable key performance indicators (KPIs) based on clinical and laboratory parameters, is essential for internal quality control (IQC). Laboratory performance indicators have been identified and a first attempt to also determine clinical ones has been recently published. However, more detailed indicators are required.MethodsAn Italian group of experts in Reproductive Medicine from both public and private clinics on behalf of SIFES-MR and SIERR was established to define IVF indicators to monitor clinical performance.ResultsThe working group built a consensus on a list of KPIs, performance indicators (PIs) and recommendation indicators (RIs). When deemed necessary, the reference population was stratified by woman age, response to ovarian stimulation and adoption of preimplantation genetic testing for aneuploidies (PGT-A). Each indicator was scored with a value from 1 to 5 and a weighted average formula – considering all the suggested parameters—was defined. This formula generates a center performance score, indicating low, average, good, or excellent performance.ConclusionThis study is intended to provide KPIs, PIs and RIs that encompass several essential aspects of a modern IVF clinic, including quality control and constant monitoring of clinical and embryological features. These indicators could be used to assess the quality of each center with the aim of improving efficacy and efficiency in IVF.

The concept of digital literacy has been defined in numerous ways over the last two decades to incorporate rapid technological changes, its versatility, and to bridge the global digital divide. Most approaches have been technology-centric with an inherent assumption of cultural and political neutrality of new media technologies. There are multiple hurdles in every stage of digital literacy implementation. The lack of solutions such as local language digital interfaces, locally relevant content, digital literacy training, the use of icons and audio excludes a large fraction of illiterate people. In this article, we analyse case studies targeted at under-connected people in sub-Saharan Africa and India that use digital literacy programmes to build knowledge and health literacy, solve societal problems and foster development. In India, we focus on notable initiatives undertaken in the domain of digital literacy for rural populations. In Sub-Saharan Africa, we draw from an original project in Kenya aiming at developing digital literacy for youth from low-income backgrounds. We further focus on Senegal, Mali, Burkina Faso and Tanzania, where field studies have been conducted on the use of digital technologies by low-literacy people and on how audio and icon-based interfaces and Internet lite standard could help them overcome their limitations. The main objective of this article is to identify key performance indicators (KPIs) in the context of digital literacy skills as one of the pillars for digital inclusion. We will learn how digital literacy programmes can be used to build digital literacy and how KPIs for sustainable development can be established. In the final discussion, we offer lessons learned from the case studies and further recommendation for stakeholders and decision-makers in the field of digital health literacy.

Purpose - The objective of this study was to identify which operating indicators contribute to a relevant evaluation of performance that impacts the sustainability and success of hotel companies. The success of any hotel business depends on the ability of managers to monitor the operations. Since, operating indicators are powerful tools that enable better performance and have increased with changes in the hotel market, working practices, and sustainability standards imposed by several organizations, the identification of the indicators that should be included in the performance evaluation is imperative. Consequently, evaluating a hotel's performance using the most reliable operating indicators is crucial to guaranteeing its success. Methodology - A hybrid methodology was adopted, using three sources of evidence, scientific articles, hotel consultancy firms, and professional books in the field of hospitality management accounting. Findings - This study concluded that key performance indicators (KPI) provide valid information for any hotel, helping to monitor and evaluate performance. In this way, 55 operating indicators were presented that are helpful for any hotel manager, due to their ease of use, and allowing the comparison of the performance of hotels. Also, the great lack of relationship between scientific literature and hotel practice was reduced by this paper considerably. Originality of the research - There is a gap between the operating indicators used in theory and in practice. This study links the use of indicators at a practical level with the most used at a theoretical level. Some theoretical indicators are more complete and richer in information which contribute to a relevant performance evaluation with an impact on the sustainability and success of hotel companies.

The goal of this paper is to examine whether business performance is affected by the adoption of practices included under the term Corporate Social Responsibility (CSR). To achieve this goal, we analyse the relation between CSR and certain accounting indicators and examine whether there exist significant differences in performance indicators between European firms that have adopted CSR and others that have not. The effects of compliance with the requirements of CSR were determined on the basis of firms included in the Dow Jones Sustainability Index (DJSI), and specific accounting indicators were applied to measure performance. For the purposes of this study, we selected one group of firms belonging to the DJSI and another comprised of firms quoted on the Dow Jones Global Index (DJGI) but not on the DJSI. The sample was made up of two groups of 55 firms, studied for the period 1998-2004. Empirical analysis supports the conclusion that differences in performance exist between firms that belong to the DJSI and to the DJGI and that these differences are related to CSR practices. We find that a short-term negative impact on performance is produced.