scholarly journals Pre-conceptual-schema-based patterns for deriving key performance indicators from strategic objectives

2017 ◽  
Vol 37 (2) ◽  
pp. 120-128
Author(s):  
Carlos Mario Zapata Jaramillo ◽  
Luis Fernando Castro Rojas
Keyword(s):  
Performance Measurement ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Business Success ◽  
Conceptual Schema ◽  
Strategic Objectives ◽  
Systematic Derivation ◽  
Derivation Process ◽  
Organizational Objectives

Performance measurement is crucial for achieving business success. Moreover, such success is also related to the fulfillment of the organizational strategic objectives. Hence, an adequate determination of relevant performance indicators—or key performance indicators (KPIs)—and their relationships to organizational objectives is needed. Even though several approaches for treating KPIs and objective-KPI relationships have been proposed, they exhibit some drawbacks associated with the lack of reusability and traceability. We attempt to fill this gap by proposing a set of patterns based on pre-conceptual schemas for supporting the systematic derivation of KPIs and their relationships to organizational objectives. In this way, the proposed patterns guarantee a reusable and traceable derivation process of a set of candidate KPIs from organizational strategic objectives. Lastly, we provide a lab study in order to illustrate the usefulness of this proposal.

scholarly journals Prototype Sistem Informasi Pengukuran Kinerja Fakultas Dengan Menggunakan Balanced Scorecard Studi Kasus: Fakultas Sains Dan Teknologi UIN Jakarta

2018 ◽  
Vol 11 (2) ◽  
pp. 127-138
Author(s):  
Tomi Hardi
Keyword(s):  
Performance Measurement ◽  
Financial Performance ◽  
Measurement System ◽  
Balanced Scorecard ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Performance Measurement System ◽  
Strategic Objectives ◽  
The Balanced Scorecard

ABSTRAK Pengukuran kinerja adalah hal yang penting bagi manajemen dalam melakukan evaluasi performa dan perencanaan perguruan tinggi. Salah satu metode untuk mengukur kinerja tersebut adalah dengan balanced scorecard. Fakultas Sains dan Teknologi  sebagai sebuah fakultas yang memiliki visi dan misi belum memanfaatkan Sistem Pengukuran Kinerja (SPK) untuk mengetahui sudah sejauh mana visi dan misi itu terlaksana. SPK yang baik haruslah terintegrasi untuk semua unit dan aktivitas di fakultas . Indikator kinerja yang terbentuk tidak hanya berupa indikator kinerja finansial (keuangan) tetapi juga indikator kinerja nonfinansial. Oleh karena itu peneliti mencoba merancang system pengukuran kinerja dengan melibatkan indikator kinerja financial dan nonfinansial. Prores perancangan SPK menggunakan model Balanced Scorecard , yaitu keseimbangan antara finansial dan nonfinansial dengan didasarkan pada langkah-langkah (framework) yaitu penetapan arsitek pengukuran, penentuan tujuan strategis (strategic objectives) dari masing-masing perspektif (finansial, pelanggan, proses bisnis internal, belajar dan tumbuh), penentuan Key Performance Indicators (KPI) dan penentuan target. Untuk melakukan penilaian kinerja adalah menggunakan lembar kerja pengukuran kinerja yang dirancang sedemikian rupa sehingga dapat memberikan gambaran mengenai kinerja. hasil dari penelitian ini yaitu implementasi  dalam bentuk software diharapkan mampu mempercepat proses analisis Balanced Scorecard itu sendiri dan memberikan nilai tambah yaitu berupa competiteve advantage dalam persaingan bisnis, sehingga dapat dijadikan sebagai salah satu sistem pendukung keputusan di tingkat manajerial. ABSTRACT Performance measurement is important for management to evaluate the performance and college planning. One method is to measure the performance of the Balanced Scorecard. Faculty of Science and Technology as a faculty that has the vision and mission have not been utilizing the Performance Measurement System (DSS) to determine the extent to which the vision and the mission was accomplished. Good SPK be integrated to all units and activities in the faculty. Performance indicators are formed not only in the form of financial performance indicators (financial) but also non-financial performance indicators. Therefore, researchers tried to design a performance measurement system involving financial and non-financial performance indicators. ProRes DSS design using a model of the Balanced Scorecard, which is a balance between the financial and nonfinancial measures are based on the (framework) that the determination architect measurements, determination of strategic objectives (strategic objectives) of the respective perspectives (financial, customer, internal business processes, learning and growing), the determination of Key Performance Indicators (KPI) and the determination of the target. To conduct performance appraisal is to use performance measurement worksheets are designed such that it can provide a picture of performance. the results of this study are in the form of software implementation is expected to accelerate the analysis process itself and the Balanced Scorecard provide added value in the form of competiteve advantage in a competitive business, so it can be used as a decision support system at the managerial level.  

Development of an integrated performance measurement framework for lean organizations

2018 ◽  
Vol 29 (1) ◽  
pp. 41-84 ◽  
Author(s):  
Narpat Ram Sangwa ◽  
Kuldip Singh Sangwan
Keyword(s):  
Performance Measurement ◽  
Performance Indicators ◽  
Manufacturing Process ◽  
Key Performance Indicators ◽  
Supplier Management ◽  
The Body ◽  
Customer Management ◽  
Content Type ◽  
Measurement Framework ◽  
Integrated Performance

Purpose The purpose of this paper is to propose an integrated performance measurement framework to measure the effect of lean implementation throughout all functions of an organization. Design/methodology/approach The paper identifies the seven categories representing all organizational functions. These categories have been divided into 26 performance dimensions and key performance indicators (KPIs) for each performance dimension have been identified to measure lean performance. The interrelationship of each category with lean principles and/or lean wastes has been identified. KPIs are developed on the basis of identified criteria, frequency analysis of existing literature, and discussion with industry professionals. Finally, an integrated performance measurement framework is proposed. Findings The proposed framework evaluates the organization under seven categories – manufacturing process, new product development (NPD), human resource management, finance, administration, customer management, and supplier management. In total, 26 dimensions and 119 key performance indicators have been identified under the seven categories. Research limitations/implications The proposed framework is a conceptual framework and it is to be tested by empirical and cross-sectional studies. Originality/value The main novelty of the research is that the leanness of the organization has been measured throughout the supply chain of the organization in an integrated way. The various areas of measurement are manufacturing process, NPD, finance, administration, customer management, and supplier management. Further, the proposed KPIs are also categorized as qualitative or quantitative, strategic or operational, social or technical, financial or non-financial, leading or lagging, static or dynamic. This paper contributes to the body of knowledge in performance measurement.

Key Performance Indicators for the Organized Farm Products Retailing in India

2017 ◽  
pp. 1316-1329
Author(s):  
Rajwinder Singh ◽  
Ajit Pal Singh ◽  
Bhimaraya A. Metri
Keyword(s):  
Performance Measurement ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Performance Measurement System ◽  
Volume Flexibility ◽  
Farm Production ◽  
Product Personality ◽  
Cost Distribution ◽  
Livestock Products ◽  
Agriculture Products

The Non-livestock products include Horticulture products (flowers, fruits, nuts, vegetables and medicinal plants) and Agriculture products (Crops like; rice, cotton, wheat). These items share the maximum sale of the farm products. Unfortunately, the farm production in India has witnessed a huge wastage. It has attracted the attention of many practitioners and policy makers. Witnessing the opportunity many organized retail players have entered the arena to sell farm products. However, the supply chain (SC) performance measurement has remained the major challenge as “No measurement no improvement”. Many organizations are searching for an efficient SC performance measurement system. Our study recommends that the SC performance shall be improved by developing a SC strategy based on a limited set of key performance indicators (KPI). Otherwise, managers shall waste time and resources on the undesirable performance indicators. We have identified and classified the KPI for non-livestock retailing SC management into five groups. These are 1) Customer Attraction Metrics (product quality, product personality, process quality); 2) Inventory Metrics (fill rate, customer response time, return adjustment, spoilage adjustment, and Vendor managed inventory); 3) Attractiveness Metrics (inventory cost, distribution cost, Return on investment, stakeholder value, sales profit and channel flexibility); 4) Transportation Metrics (shipping errors, and volume flexibility); and 5) Customer Metrics (lead time, delivery flexibility, and backorder flexibility). This grouping shall help the practitioners to focus on a limited set of KPI for better management of supply chains.

Developing key performance indicators for hospital facilities management services: a developing country perspective

2020 ◽  
Vol 27 (9) ◽  
pp. 2715-2735 ◽  
Author(s):  
Daniel Amos ◽  
Cheong Peng Au-Yong ◽  
Zairul Nisham Musa
Keyword(s):  
Performance Measurement ◽  
Balanced Scorecard ◽  
Performance Indicators ◽  
Principal Component ◽  
Key Performance Indicators ◽  
Public Hospitals ◽  
Facilities Management ◽  
Content Type ◽  
Significant Difference ◽  
Level Of Importance

PurposeKey performance indicators (KPIs) help to monitor performance, thereby revealing the gap between planned and executed results relative to organizational objectives. The purpose of this paper is to develop KPIs for performance measurement of facilities management (FM) services in public hospitals.Design/methodology/approachFollowing a comprehensive literature review of KPIs in FM, a set of KPIs were first selected. This was then subjected to content validation by experts. Thereafter a questionnaire survey was conducted to identify participants perception on the level of importance of the proposed KPIs. The main analytical tool used was SPSS factor analysis/principal component extraction.FindingsAdapting an expanded balanced scorecard typology, the paper identifies 17 KPIs, which are useful for performance improvement of FM. The study also introduces new financial dimensions beyond the traditional cost and profit-centered metrics.Research limitations/implicationsThe study was limited to three FM services. Although the results of the Kruskal–Wallis test shows no significant difference in the level of importance on more than 80% of the indicators, larger sample is required in future studies to examine indicator preference for the respective services. An empirical study to test the proposed indicators to measure FM performance could also be a next step.Originality/valueThe paper presents the first step to develop performance indicators, which are of relevance to FM performance measurement and could be utilized to improve performance. The indicators are largely generic and can easily be adapted by other FM service sectors for performance measurement.

scholarly journals Pengukuran Kinerja Rantai Pasok Agroindustri Sirup Markisa Dengan Balance Scorecard di Provinsi Sumatera Utara

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Kimberly Febrina Kodrat ◽  
Sukaria Sinulingga ◽  
Humala Napitupulu ◽  
Rika Ampuh Hadiguna
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Passion Fruit ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Balance Scorecard ◽  
Balance Score Card ◽  
Score Card

Rantai pasok markisa merupakan suatu konsep yang memiliki sistem pengaturan yang berkaitan dengan aliran produk, aliran informasi serta aliran keuangan dalam proses distribusi buah markisa. Pengukuran kinerja rantai pasok merupakan aktivitasaktivitas dalam rangka memenuhi permintaan pelanggan atau persentase dari aktivitas pemenuhan permintaan perusahaan kepada konsumennya. Secara umum pengukuran kinerja rantai pasok dilakukan untuk mengetahui kinerja rantai pasok dalam hal efisiensi biaya dan waktu operasi rantai pasok. Pengukuran ini dilakukan dengan terlebih dahulu menentukan indikator-indikator rantai pasok. Tujuan penelitian ini untuk merancang sistem pengukuran kinerja rantai pasok dengan menggunakan balance scorecard untuk mengidentifikasi kelemahan dan keunggulan dari sistem rantai pasok terkait melalui identifikasi indikatorindikator kunci (key performance indicators) kinerja rantai pasok agroindustri markisa. Metode penelitian ini menggunakan metode survei dengan teknik observasional deskriptif. Hasil penelitian menetapkan18 KPI yang relevan digunakan untuk mengukur kinerja rantai pasok agro industri markisa dengan menggunakan Balance Score Card dan pada Perspektif customer merupakan yang menjadi prioritas yang dibuktikan dari 3 KPI pada urutan tertinggi bobotnya masing-masing: 1) tingkat kepuasan pelanggan (C2) dengan bobot 0,1098, 2) peningkatan kualitas (C1) dengan bobot 0,0897 dan 3) tingkat ketertarikan pelanggan terhadap produk ramah lingkungan (C4) dengan bobot 0,0801 serta kinerja rantai pasok agroindustri markisa 4,3228 (cukup baik).   Passion fruit supply chain is a concept that has a regulatory system related to product flow, information flow and financial flow in the process of distribution of passion fruits. Supply chain performance measurement is activities in order to meet customer demand or a percentage of the company's demand fulfillment activities to consumers. In general, supply chain performance measurements are carried out to determine supply chain performance in terms of cost efficiency and supply chain operating time. This measurement is done by first determining the supply chain indicators. The purpose of this study was to design a supply chain performance measurement system using a balance scorecard to identify weaknesses and advantages of the related supply chain system through the identification of key performance indicators of the passion fruit agro-industry supply chain performance. This research method uses survey methods with descriptive observational techniques. The results determined 18 relevant KPIs were used to measure the performance of the passion fruit agro industry supply chain by using a Balance Score Card and the customer perspective was the priority as evidenced by 3 KPIs in the highest order of their respective weights: 1) the level of customer satisfaction (C2) with weight 0.1098, 2) quality improvement (C1) with a weight of 0.0897 and 3) level of customer interest in environmentally friendly products (C4) with a weight of 0.0801 and the performance of the passion fruit agro-industry supply chain 4.3228 (good enough). 

scholarly journals Perancangan Sistem Pengukuran Kinerja Dengan Metode Integrated Performance Measurement System (IPMS) (Studi Kasus: Program Studi Teknik Industri Universitas PGRI Adi Buana Surabaya)

2011 ◽  
Vol 9 (1) ◽  
pp. 16-24
Author(s):  
Yunia Dwie Nurcahyanie
Keyword(s):  
Performance Measurement ◽  
Measurement System ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Performance Measurement System ◽  
Measurement Systems ◽  
Stakeholder Requirement ◽  
Performance Measurement Systems ◽  
Integrated Performance

Untuk menjamin kualitas pendidikan di Program Studi Teknik Industri Universitas PGRI Adi Buana surabaya, diperlukan sebuah rancangan sistem pengukuran kinerja (SPK) yang terintegrasi dengan metode IPMS (Integrated Performance Measurement Systems). Dengan metode IPMS, Key Performance Indicators (KPI) Program Studi Teknik Industri ditentukan berdasarkan stakeholder requirement melalui empat tahapan yaitu; identifikasi stakeholder requirement, external monitor, penetapan objectives, dan identifikasi KPIs. Hasil perancangan SPK di Program Studi Teknik Industri Universitas PGRI Adi Buana Surabaya, dapat mengidentifikasi 26 KPIs yang dikelompokkan dalam 9 kriteria kinerja Program Studi Teknik Industri, yaitu; kurikulum, mahasiswa, finansial, SDM, administrasi akademik, proses belajar mengajar, lulusan, evaluasi dan pengendalian, dan masyarakat

Key Performance Indicators for the Organized Farm Products Retailing in India

2016 ◽  
pp. 256-269 ◽  
Author(s):  
Rajwinder Singh ◽  
Ajit Pal Singh ◽  
Bhimaraya A. Metri
Keyword(s):  
Performance Measurement ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Performance Measurement System ◽  
Volume Flexibility ◽  
Farm Production ◽  
Product Personality ◽  
Cost Distribution ◽  
Livestock Products ◽  
Agriculture Products

The Non-livestock products include Horticulture products (flowers, fruits, nuts, vegetables and medicinal plants) and Agriculture products (Crops like; rice, cotton, wheat). These items share the maximum sale of the farm products. Unfortunately, the farm production in India has witnessed a huge wastage. It has attracted the attention of many practitioners and policy makers. Witnessing the opportunity many organized retail players have entered the arena to sell farm products. However, the supply chain (SC) performance measurement has remained the major challenge as “No measurement no improvement”. Many organizations are searching for an efficient SC performance measurement system. Our study recommends that the SC performance shall be improved by developing a SC strategy based on a limited set of key performance indicators (KPI). Otherwise, managers shall waste time and resources on the undesirable performance indicators. We have identified and classified the KPI for non-livestock retailing SC management into five groups. These are 1) Customer Attraction Metrics (product quality, product personality, process quality); 2) Inventory Metrics (fill rate, customer response time, return adjustment, spoilage adjustment, and Vendor managed inventory); 3) Attractiveness Metrics (inventory cost, distribution cost, Return on investment, stakeholder value, sales profit and channel flexibility); 4) Transportation Metrics (shipping errors, and volume flexibility); and 5) Customer Metrics (lead time, delivery flexibility, and backorder flexibility). This grouping shall help the practitioners to focus on a limited set of KPI for better management of supply chains.

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