scholarly journals Key Performance Indicators On Supply Chain Performance Measurement In An Electronic Commerce: A Literature Review

Based on the information and communication technology revolution are characterized by Internet usage in various fields, the business environment also does changing by applying the concept of Electronic Commerce (e-commerce) on its process. Like business activities in general, e-commerce also requires the involvement of various parties, which are referred to Supply Chain Management (SCM). The challenge is while the Supply Chain (SC) performance measurement, that generally conducted in the company with non e-commerce, applied on ecommerce business process. Otherwise, only a few literature studies discuss partially dimension of performance measurement in e-commerce. Therefore, it is important to conduct a literature study about key performance indicators (KPIs) for measuring SC performance in e-commerce dimensions, and it would be explained in this paper. The contribution of this paper proposed the KPIs' that could be used for measuring SC performance in an e-commerce business process in order to be a new approach on the development of SC performance measurement models.

Author(s):  
Kimberly Febrina Kodrat ◽  
Sukaria Sinulingga ◽  
Humala Napitupulu ◽  
Rika Ampuh Hadiguna

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). 


2017 ◽  
Vol 44 (1) ◽  
pp. 21
Author(s):  
Barbara Simeunović ◽  
Milić Radović ◽  
Dragoslav Slović

In the paper, some of the most important performance measurement models are considered, and it is noticed that the majority of models takes into account the strat egy or goals while determining performance, most of them don’t specify performance indicators, but give an indication for their determination and none of them link directly organizational goals and performance indicators. In other words, none of them speci fy their interdependence, which would allow model flexibility. Furthermore, the novel approach to business process performance measurement is proposed, which starts from business system goals, decompose them on the lower level objectives and link them to the key processes of business system. Suggested approach allows interconnection between organization’s top level goals and key process performance indicators, by using lower level objectives, which enable model flexibility.


2018 ◽  
Vol 5 (01) ◽  
pp. 1 ◽  
Author(s):  
Afifa Sucihana Ismadhia ◽  
Ari Yanuar Ridwan ◽  
Rosad Ma’ali El Hadi

A green supply chain performance measurement system is needed to manage the environmental risks that are often being the major issues of industry. Claim from the government to implement the green supply chain system will certainly be a boost to major industries in Indonesia. As for PT. Elco lndonesia Sejahtera, to create an industry that applies green perspective in the industry, of course PT. EIS requires a model of its own enterprise performance measurement system design. Therefore, this study aims to design a performance measurement system from Green Sales and Distribution in the supply chain of leather tanning industry. The model used as a tool for designing performance measurement systems from the supply chain is Green SCOR model. The conceptual model is designed by involving activities such as stakeholder identification, needs analysis of green stakeholders, green destination identification, and KPI weighting. The supply chain operation reference metric (SCOR) is applied to identify key performance indicators (KPIs). The weight of the KPI is determined using the AHP method. The results of this study are six green objectives and also fifteen Key Performance indicators under it. Green objectives and Key performance can help companies to improve the performance of Green Sales and Distribution in the company.


2018 ◽  
Vol 29 (1) ◽  
pp. 41-84 ◽  
Author(s):  
Narpat Ram Sangwa ◽  
Kuldip Singh Sangwan

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.


2020 ◽  
Vol 4 (2) ◽  
pp. 11-23
Author(s):  
Violeta Domanović ◽  
Jasmina Bogićević ◽  
Bojan Krstić

Contemporary business environment imposes new business rules. The maximization of profit and shareholder value cannot be the only aim of an enterprise. Instead, enterprises are forced to maximize value of all stakeholders in order to survive in the long run. The issue of sustainability has become of crucial significance, and especially measurement and reporting on sustainability, as well as, its effects on financial performances, as still dominant ones in the contemporary business performance measurement models. Hence, the subject of the research is the enterprise sustainability in the contemporary business environment. The aim of the research is to stress the role and the significance of the sustainability in the process of improving the enterprise efficiency. The research results show that the enterprise sustainability has the positive implications on the business performances in the long run, as well as on the welfare of all stakeholders. In order to be more transparent, it is desirable for enterprises to create the sustainability report, in the integration with the traditional business report, which would give the complete overview of enterprise efficiency.


2017 ◽  
pp. 1316-1329
Author(s):  
Rajwinder Singh ◽  
Ajit Pal Singh ◽  
Bhimaraya A. Metri

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.


2020 ◽  
Vol 27 (9) ◽  
pp. 2715-2735 ◽  
Author(s):  
Daniel Amos ◽  
Cheong Peng Au-Yong ◽  
Zairul Nisham Musa

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.


2014 ◽  
Vol 718 ◽  
pp. 179-182
Author(s):  
Beata Ślusarczyk ◽  
Sebastian Kot

Distribution is a crucial element of whole steel products supply chain processes, while transport is very important of distribution stage because it generates the high share in total costs. Authors analyze changes in steel products distribution with rising importance of steel producer distribution sites. Then researches effects on transport effectiveness in one of the largest steel distributors in Poland have been presented. Authors pay special attention on detailed key performance indicators of transport in distribution.


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