Improving operational performance within social housing

fi=vertaisarvioitu|en=peerReviewed

A methodology to select suppliers to increase sustainability within supply chains

[EN] Sustainability practice within supply chains remains in an early development phase. Enterprises still need tools that support the integration of sustainability strategy into their activity, and to align their sustainability strategy with the supplier selection process. This paper proposes a methodology using a multi-criteria technique to support supplier selection decisions by taking two groups of inputs that integrate sustainability performance: supply chain performance and supplier assessment criteria. With the proposed methodology, organisations will have a tool to select suppliers based on their development towards sustainability and on their alignment with the supply chain strategy towards sustainability. The methodology is applied to an agri-food supply chain to assess sustainability in the supplier selection process.The authors of this publication acknowledge the contribution of Project GV/2017/065 'Development of a decision support tool for the management and improvement of sustainability in supply chains', funded by the Regional Valencian Government. Also, the authors acknowledge Project 691249, RUC-APS: Enhancing and implementing knowledge-based ICT solutions within high risk and uncertain conditions for agriculture production systems (www.ruc-aps.eu), funded by the European Union according to funding scheme H2020-MSCA-RISE-2015.Verdecho Sáez, MJ.; Alarcón Valero, F.; Pérez Perales, D.; Alfaro Saiz, JJ.; Rodríguez Rodríguez, R. (2021). A methodology to select suppliers to increase sustainability within supply chains. 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Improving the performance of accounting information systems of commercial banks in Jordan by using the balanced scorecard approach

The continuous development of information technology in the modern word affects the performance of Accounting Information Systems (AIS) in Jordanian business organizations, including commercial banks, in many respects, including: its objectives, strategies, nature of work and instruments that achieve its objectives. Hence, the traditional AIS needs to be reviewed since it requires new instruments to determine, measure and present accounting information in order to adapt to the requirements of modern technology and competition factors.The problem of this study stems from the ignorance of some commercial banks in Jordan about the impact of AIS on the level of banks' success in performing their various banking business, indicating that AIS is not used efficiently and effectively. Also, the problem stems from the great interest in AIS from other commercial banks in Jordan, although they are unable to take full advantage of AIS and what it can offer. With the prominent presence and effective role that could be played by companies of systems, programs and communications in Jordan in formulating the level of service performance of banks in Jordan, ignorance of AIS on the part of these commercial banks would negatively impact on their market share and effective performance, bilaterally, jointly, and their competitive position.Despite the argument of many commercial banks in Jordan that AIS is an important aspect of their daily operations, there are still some factors that limit the effectiveness of AIS performance. Hence, various critical problems emerged for the commercial banks, which are the main problems addressed by this study. First, specific technology in any AIS field might prevent it from being effective; second, it may prevent the production of credible information for stakeholders; third, it will hinder any technical progress in its control operations. This would negatively affect bank's performance in terms of providing highly efficient, low-cost services, and decrease its competence and competitiveness both internally and externally.Considering the negative reflections discussed in the previous section, it is noted that the impact of Key Performance Indicators (KPIs) problems on AIS performance in the commercial banks in Jordan is a pressing and significant issue, especially in the KPIs field that enhances AIS performance. The problem that the researcher identifies to solve in this study is: What are the KPIs that will improve the accounting information systems' performance in the commercial banks in Jordan? This needs to address the question arising from the absence of a strategic vision in the literature to develop and improve the AIS professional performance in commercial banks in Jordan. Also, it highlights the importance of investigating the KPIs that lead to improving AIS performance in the commercial banks in Jordan.To improve AIS performance in commercial bank in Jordan, Balance Scorecard (BSC) as an integrated system of performance measures from the financial and non-financial perspectives, such as: financial, customers, internal business process, learning and growth, and internal control have been used. KPIs related to these perspectives were revealed and identified classified, and their relationships with, and their effects and influence on, the effectiveness of AIS performance in those banks, were examined. On the other hand, analyses were made for the all BSC-AIS elements and their effect on the performance of work strategies and tendencies by using Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP). The researcher also tested BSC-AIS in the field part, on the society, with emphasis on basic performance improvement stimulants AIS-KPIs, through analysing the questionnaire's results, using the Statistical Package for Social Sciences (SPSS) programme. Then, analysed each element based on each of the five perspectives. A comparison was conducted between the analysis results of SPSS and analysis results of AHP/ANP, in order to get final KPIs to be adopted as a basic criterion to conduct the comparison between fact and the expected AIS future performance. Furthermore, the study suggests ten recommendations to be implemented by the commercial banks in Jordan in order to improve the performance of AIS.Finally, the study produced results that facilitate the establishment of a comprehensive AIS strategy intended to achieve, and maintain a competitive advantage, provide the attributes that produce comprehensive information for different stakeholders, improve and maintain the internal control systems. This study concluded that all of these elements together lead to the development and improvement of AIS performance in the commercial banks in Jordan, thereby improving AIS operational performance with different materiality determined by the relationship between the target elements and objectives

Alignment of balanced scorecard perspectives with supply chain management objectives: a literature review

Having in view the fast diffusion of the Balanced Scorecard since its development in the 1990s, as well as your application in various industrial sectors, this paper aims to present a literature review on the alignment of this performance measurement system with the Supply Chain Management. This research was motivated by the finding of an increase in the annual number of papers published over the years. Through a literature review 43 papers related to the theme were localized in databases SCIELO, SCOPUS and Web of Science. Key metrics, methodological procedures most used for developing the papers localized, benefits and limitations of using the system, as well as research gaps indicated for future works are presented. The main contribution of this research focuses on condense into a single material, an overview of the assessment methods of Supply Chain Management based on the Balanced Scorecard perspectives. Several metrics have been proposed for the development of this performance measurement system, encompassing other perspectives beyond the four traditional BSC perspectives

Can fuzzy Multi-Criteria Decision Making improve Strategic planning by balanced scorecard?

Strategic management is momentous for organizational success and competitive advantage in an increasingly turbulent business environment. Balanced scorecard (BSC) is a framework for evaluating strategic management performance which translates strategy into action via various sets of performance measurement indicators. The main objective of this research is to develop a new fuzzy group Multi-Criteria Decision Making (MCDM) model for strategic plans selection process in the BSC. For this to happen, the current study has implemented linguistic extension of MCDM model for robust selection of strategic plans. The new linguistic reasoning for group decision making is able to aggregate subjective evaluation of the decision makers and hence create an opportunity to perform more robust strategic plans, despite of the vagueness and uncertainty of strategic plans selection process. A numerical example demonstrates possibilities for the improvement of BSC through applying the proposed model

Supplier selection in automobile industry: A mixed balanced scorecard–fuzzy AHP approach

AbstractThis study proposed an integrated Balanced Scorecard–Fuzzy Analytic Hierarchical Process (BSC–FAHP) model to select suppliers in the automotive industry. In spite of the vast amount of studies on supplier selection, the evaluation and selection of suppliers using the specific measures of the automotive industry are less investigated. In order to fill this gap, this research proposed a new BSC for supplier selection of automobile industry. Measures were gathered using a literature survey and accredited using Nominal Group Technique (NGT). Finally, a fuzzy AHP was used to select the best supplier

Performance Evaluation for the Sustainable Supply Chain Management

Supply chain SC activities transform natural resources, raw materials, and components into various finished products that are delivered to end customers. A high efficient SC would bring great benefits to an enterprise such as integrated resources, reduced logistics costs, improved logistics efficiency, and high quality of overall level of services. In contrast, an inefficient SC will bring additional transaction costs, information management costs, and resource waste, reduce the production capacity of all enterprises on the chain, and unsatisfactory customer relationships. So the evaluation of a SC is important for an enterprise to survive in a competitive market in a globalized business environment. Therefore, it is important to research the various methods, performance indicator systems, and technology for evaluating, monitoring, predicting, and optimizing the performance of a SC. A typical procedure of the performance evaluation (PE) of a SC is to use the established evaluation performance indicators, employ an analytical method, follow a given procedure, to carry out quantitatively or qualitatively comparative analysis to provide the objective and accurate evaluation of a SC performance in a selected operation period. Various research works have been carried out in proposing the performance indicator systems and methods for SC performance evaluations. But there are no widely accepted indicator systems that can be applied in practical SC performance evaluations due to the fact that the indicators in different systems have been defined without a common understanding of the meanings and the relationships between them, and they are nonlinear and very complicated

Un enfoque de toma de decisiones multicriterio aplicado a la estrategia de transformación digital de las organizaciones por medio de la inteligencia artificial responsable en la nube de las organizaciones. Estudio de caso en el sector de salud

Tesis inédita de la Universidad Complutense de Madrid, Facultad de Estudios Estadísticos, leída el 08-02-2023Organisations are committed to understanding both the needs of their customers and the capabilities and plans of their competitors and partners, through the processes of acquiring and evaluating market information in a systematic and anticipatory manner. On the other hand, most organisations in the last few years have defined that one of their main strategic objectives for the next few years is to become a truly data-driven organisation in the current Big Data and Artificial Intelligence (AI) context (Moreno et al., 2019). They are willing to invest heavily in Data and AI Strategy and build enterprise data and AI platforms that will enable this Market-Oriented vision (Moreno et al., 2019). In this thesis, it is presented a Multicriteria Decision Making (MCDM) model (Saaty, 1988), an AI Digital Cloud Transformation Strategy and a cloud conceptual architecture to help AI leaders and organisations with their Responsible AI journey, capable of helping global organisations to move from the use of data from descriptive to prescriptive and leveraging existing cloud services to deliver true Market-Oriented in a much shorter time (compared with traditional approaches)...Las organizaciones se comprometen a comprender tanto las necesidades de sus clientes como las capacidades y planes de sus competidores y socios, a través de procesos de adquisición y evaluación de información de mercado de manera sistemática y anticipatoria. Por otro lado, la mayoría de las organizaciones en los últimos años han definido que uno de sus principales objetivos estratégicos para los próximos años es convertirse en una organización verdaderamente orientada a los datos (data-driven) en el contexto actual de Big Data e Inteligencia Artificial (IA) (Moreno et al. al., 2019). Están dispuestos a invertir fuertemente en datos y estrategia de inteligencia artificial y construir plataformas de datos empresariales e inteligencia artificial que permitan esta visión orientada al mercado (Moreno et al., 2019). En esta tesis, se presenta un modelo de toma de decisiones multicriterio (MCDM) (Saaty, 1988), una estrategia de transformación digital de IA de la nube y una arquitectura conceptual de nube para ayudar a los líderes y organizaciones de IA en su viaje de IA responsable, capaz de ayudar a las organizaciones globales a pasar del uso de datos descriptivos a prescriptivos y aprovechar los servicios en la nube existentes para ofrecer una verdadera orientación al mercado en un tiempo mucho más corto (en comparación con los enfoques tradicionales)...Fac. de Estudios EstadísticosTRUEunpu

Key performance indicators selection through an analytic network process model for tooling and die industry

Funding Information: Radu Godina and Pedro Espadinha-Cruz acknowledge Funda??o para a Ci?ncia e a Tecnologia (FCT-MCTES) for its financial support via the project UIDB/00667/2020 (UNIDEMI).In the last few decades, the fast technological development has caused high competitiveness among companies, encouraging a pursuit for strategies that allow them to gain competitive advantage, such as the monitoring of performance by using key performance indicators (KPIs). However, its selection process is complex since there are several KPIs available to evaluate performance and different relationships between them. To overcome this challenge, the use of a multiple criteria decision-making model (MCDM) was proposed, namely the analytic network process (ANP) through which a reduced number of them are prioritized. To identify which KPIs are suitable for the press cast and die manufacturing industry, a literature review was made, and 58 unique KPIs were identified. Thus, to validate the proposed methodology, a case study was carried out in an automotive press molding industry. With the implementation of the proposed ANP model it was possible to identify 9 KPIs that ensure the correct molding process monitoring, while being aligned with the Balanced Scorecard criteria. The results show that the proposed model is suitable for selecting KPIs for the molding industry.publishersversionpublishe