Premium Essay

A Dramaturgical Model of the Production of Performance Data

In: Computers and Technology

Submitted By sarahnancyy
Words 353
Pages 2
Executive Summary Sarah Nancy Tri Novedy Naibaho
SIT ( #3 )


System informasi mengandung berbagai macam informasi yang sangat berguna dalam menjalankan suatu bisnis, baik untuk mengetahui suatu keadaan atau dalam hal pengambilan keputusan.

Berdasarkan artikel ini, penelitian menunjukkan bahwa para pemimpin menggunakan system informasi untuk mengetahui keadaan pasar dan menentukan strategi pasar yang sebaiknya digunakan. Artikel juga menyebutkan bahwa manajer menggunakan system informasi untuk menyediakan laporan secara rinci mengenai kinerja karyawan kepada para pemimpin, selain itu para pemimpin juga menggunakannya untuk mengetahui keadaan perusahaan melalui laporan akuntansi dan juga untuk melihat kinerja para manajer yang berpotensi kelak. Jadi dengan kata lain, para manajer berkeinginan untuk memperlihatkan yang terbaik yang mereka mampu kepada para pemimpin tetapi para manajer harus membuktikan kembali bahwa mereka berpotensi namun keadaan ini membuat kekhawatiran di antara para manajer.

Inilah yang kemudian disebut sebagai model dramaturgi dari produksi data kinerja yang nantinya para manajer gunakan untuk mengesankan para pemimpin terhadap kinerja manajer. Dari artikel ini dapat disimpulkan bahwa system informasi digunakan oleh para pemimpin untuk mengetahui keadaan perusahaan dan untuk memberikan penilaian terhadap kinerja karyawannya, termasuk pada manajer. Sedangkan di lain sisi, para manajer menggunakan system informasi untuk memanipulasi data dengan tujuan memperlihatkan kinerja yang baik dan keadaan perusahaan yang baik sehingga para manajer dapat memperoleh penilaian yang baik pula untuk menunjang posisi mereka di hadapan para pemimpin.

Contohnya saja seperti yang ada dalam artikel, yaitu Desk Sales. Desk Sales adalah unit…...

Similar Documents

Premium Essay

Production Performance of the Existing Equipment

...msm clckwckmfc wc wc s sklcmwdofnmwmcskcsxlc,womcwmcslx sxxkcmldddddddddddddkjdmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmCovers the history of portfolio planning at CIBA-GEIGY, a leading Swiss chemical and pharmaceutical company, beginning with the introduction of the process in the mid-1980s. The discussion extends to the application of portfolio planning techniques to a specific investment proposal: the comprehensive modernization of a plant dedicated to the production of high-quality specialty pigmeEXAMPLE: The development of SMEs in the Eastern European countries during the first years of the transition period was difficult and they had to take of work as long as it brought money into a company. The subsequent rapid growth also offered multiple opportunities and the companies made full use of them. Thus, over 70% of Bulgarian companies, for example, had a portfolio that wasn´t related to a defined business strategy and vision for long term development, and its structure reflected the market situation. However, to stay competitive, small companies in all EU countries have had to re-think and optimize their activities; they have to search for new opportunities for their development. That is why they are being forced to create or update their strategy for the future development of the business, based on the prevailing conditions. The assessment of the products and services, offered by the......

Words: 552 - Pages: 3

Premium Essay

Analysis of Data(Cost, Time, Performance) of Construction of Cafeteria

...customer under one roof. The objective is to launch this project within a time frame of 60 days and the budget allocated for the project is Rs 20, 00,000. A project team, consisting of 7 members, including a project manager, would be constituted. Each team member would be assigned a functional department of the project, for which, he would be the sole in-charge and who would, in turn, report to the project manager. It would be the role of the project manager to collaborate with all the functional heads harmoniously and ensure smooth functioning of the project. PROJECT OBJECTIVE The main objective of the project is to gather the data(time and cost) of constructing a food joint in a college and then further analyze it, by using various scheduling and cost estimation methods, for performance. The scheduling and cost estimation techniques used in this project are PERT/CPM analysis, resource allocation, concept of crashing etc. The project manager has been provided a rented area of 1600 sq ft by the company and his job to realize the goal of establishment of the food joint. The time frame given to him is 60 days, with optimal usage of resources and keeping the budget constraint of Rs 20, 00,000 in mind. PROJECT PLANNING Project Team The project manager called for an Initial Launch Meeting to make a dynamic project team and to help focus all the team members towards their......

Words: 2917 - Pages: 12

Premium Essay

Data Model Tutorial

...introduction to data modeling 3.1 Introduction: The importance of conceptual models same: understand the problem before you start constructing a solution. There are two important things to keep in mind when learning about and doing data modeling: 1. Data modeling is first and foremost a tool for communication.Their is no single “right” model. Instead, a valuable model highlights tricky issues, allows users, designers, and implementors to discuss the issues using the same vocabulary, and leads to better design decisions. 2. The modeling process is inherently iterative: you create a model, check its assumptions with users, make the necessary changes, and repeat the cycle until you are sure you understand the critical issues. In this background lesson, you are going to use a data modeling technique—specifically, EntityRelationship Diagrams (ERDs)—to model the business scenario from Lesson 2. The data model you create in this lesson will form the foundation of the database that you use throughout the remaining lessons. Before you sit down in front of the keyboard and start creating a database application, it is critical that you take a step back and consider your business problem—in this case, the kitchen supply scenario presented in Lesson 2— from a conceptual point of view. To facilitate this process, a number of conceptual modeling techniques have been developed by computer scientists, psychologists, and consultants. ? For our purposes, we can think of a conceptual......

Words: 7007 - Pages: 29

Premium Essay


...SAMUEL ADEGBOYEGA UNIVERSITY DEPARTMENT OF ECONOMICS AND BUSINESS STUDIES COLLEGE OF MANAGEMENT AND SOCIAL SCIENCES SECOND SEMESTER EXAMINATION 2013/2014 SESSION Course Title: Production Management Course Code: BUS 325 Time: 21/2 hour Instruction: Choose the one alternative that best completes the statement or answers the question. 1) Production/Operations Management is A) responsible for producing goods B) responsible for providing services C) system that create goods or services D) often referred to as the core of scientific management 2) Operations Management does not affect A) The collective success or failure of companies’ POM B) companies’ financial resources C) Nation’s ability to compete internationally D) Companies’ ability to compete 3) Which of the following part indicates the three Basic Functions? A) Finance, marketing and management B) Finance, human resources and management C) Marketing, operations and finance D) Operations, finance and scientific management 4) The steps of the conversion of inputs into outputs are: A) Input, process, transformation B) Labor, control, goods C) capital, land, service D) Input, conversion process, output 5) The operations function involves __________ A) The transformation process of inputs into outputs B) Feedback control C) Value added process D) Only goods process 6) Which of the following is not one of the input concepts? ......

Words: 1798 - Pages: 8

Free Essay

Forecasting the Quarterly Rice Production in the Province of Iloilo Using Different Forecasting Models

...CHAPTER I INTRODUCTION Brief Background “Rice,” first used in the middle of the 13th century, undergoes a long journey on derivation of its name. It is written to have originated from the Old French, “ris,” which came from the Italian “riso,” which in turn from the Latin “oriza.” Despite having a series of appellation, rice is simply the seed of the monocot plants Oryzasativa (Asian rice) or Oryzaglaberrima (African rice), considered to be the most utterly consumed staple food for a vast portion of the world’s human population, specifically in Asia and the second-highest with the most number of production, after corn, based on the 2010 data of FAOSTAT, the Food and Agricultural Organization of the United Nations. Notwithstanding the association, Oryzasativaand Oryzaglaberrimaare two different species. The former is more predominantly acknowledged than the latter because of its popularity in cereal biology. Great subspecies with variety of kinds have been widely generated because of its easy genetic modification for the reason that it contains the largest genome, consisting of 430 Mb across 12 chromosomes, among the cereal plant(Linares, 2002). One of its speciesis the sticky, short grained Japonica or Sinica variety, usually cultivated in dry fields, in temperate East Asia, upland areas of Southeast Asia and high elevations in South Asia. Second is the non-stick, long-grained Indica varietywhich is mainly lowland rice, grown mostly submerged, throughout tropical Asia...

Words: 8603 - Pages: 35

Free Essay

Team Work Production Model

...The Model: Team Work Production Function The Team-Work Production Function is the idea that collectively working on a project or task decreases the amount of work by an individual whilst simultaneously increasing their leisure. The effect of this is an increase in utility experienced by one person. However if everyone acts in a rational manner and everyone maximizes their respective utilities in the same manner then overall the utility is diminished below the original level, or rather the level of a single individual working on the same problem. The Application of the Model: School Projects The Team Work Production function is extremely relevant to students at Cornell University who are often subjected to work on group projects, or study together, or collaborate in any way large or small on differing topics. For the purpose of this paper I will apply the model to a group project in another PAM class. The assignment was to write a 20-page policy paper with four other students over the course of a semester and to formulate a plan that provided solvency to the problem and utilized original research. The group immediately divided the 20-page paper in an egalitarian manner doling out 5 pages each on subtopics however each section of 5 pages was dependent on the section preceding it. The division of labor created a new budget constraint one that reduced work and increased leisure. However as all members of the group realized the same increase in leisure each member had a......

Words: 634 - Pages: 3

Premium Essay

Managing Competitiveness Using Production Volumes - Product Variety Model for Automobile Industry

... Managing Competitiveness using Production Volumes - Product Variety Model for Automobile Industry Mirza Jahanzaib, Syed Athar Masood, Khalid Akhtar, Khurram Ali Industrial Engineering Department, University of Engineering & Technology, Taxila, Pakistan * ABSTRACT: The manufacturing industries can be classified into process industry (PI) and discrete parts manufacturing industry (DPMI). Process industries have dedicated product line with fixed processes, routings and planning, whereas while discrete parts manufacturing industries are more flexible in terms of production volumes and varieties. For economic manufacturing, the optimum combination of Volume – Variety exists i.e. job shop, batch production system or mass production. In this paper, we have looked at the typical production volumes and varieties and have argued that there exist very low variety and low to medium production volumes for this particular sector. This calls for investigating ways and strategies to effectively cope with this situation. By taking a case of automobile part vendors triple strategy approach is adopted. Three strategies are not mutually exclusive – a subsequent strategy assumes that the previous strategy has been executed earlier and its benefits/ results still exist when the subsequent strategy is implemented. Strategies are, Good Governance Strategy (GGS), an Automation Strategy (AS) and an Export Strategy (ES). Using real life data from automobile part......

Words: 3868 - Pages: 16

Free Essay

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

... Lecture critique et synthèse de: Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures Jean-François Patenaude Département de génie logiciel et des technologies de l’information, École de technologie supérieure 1100 rue Notre-Dame Ouest, Montréal (Québec) H3C 1K3 Canada Abstract—On retrouve une quasi-ubiquité de GPU permettant les calculs en tout genre (GPGPU) sur le marché. Or, il y a encore peu de logiciels qui en prennent avantage. Une de ces raisons est la complexité du développement de logiciels parallèles sur les GPU. C’est en grande partie parce que la gestion de la mémoire est laissée aux soins du développeur. D’ailleurs, une mauvaise gestion de la mémoire peut impacter grandement la performance du logiciel, d’autant plus que les cartes graphiques sont optimisées pour offrir une très large bande passante de mémoire, mais avec des temps de réponse moins rapide. Un article portant sur une méthodologie qui permet de systématiser l’application de techniques d’amélioration de l’accès de la mémoire afin de garantir de bonnes performances a récemment été publié. Selon cette méthodologie, l’optimisation est alors fonction des différents patrons d’accès de la mémoire et de l’architecture sous-jacente : vectorielle comme les GPU d’AMD ou scalaire comme ceux de NVIDIA. Dans le présent article, une synthèse de la méthodologie sera présentée. Puis, une analyse suivra afin de discuter de la méthodologie et de la critiquer. Index......

Words: 3534 - Pages: 15

Free Essay

Data Model

...  Chapter 2 Data Models Chapter 2Data Models Answers to Review Questions 1. Discuss the importance of data modelling. A data model is a relatively simple representation, usually graphical, of a more complex real world object event. The data model’s main function is to help us understand the complexities of the real-world environment. The database designer uses data models to facilitate the interaction amongdesigners, application programmers, and end users. In short, a good data model is a communicationsdevice that helps eliminate (or at least substantially reduce) discrepancies between the databasedesign’s components and the real world data environment. The development of data models, bolstered by powerful database design tools, has made it possible to substantially diminish thedatabase design error potential. (Review Section 2.1 in detail.) 2. What is a business rule, and what is its purpose in data modelling? A business rule is a brief, precise, and unambiguous description of a policy, procedure, or principle within a specific organization’s environment. In a sense, business rules are misnamed: they apply to any organization -- a business, a government unit, a religious group, or a research laboratory; large or small -- that stores and uses data to generate information. Business rules are derived from a description of operations. As its name implies, a description of operations is a detailed narrative that describes the operational environment of an organization.......

Words: 648 - Pages: 3

Free Essay

Interpreting Performance Based Data

...Interpreting Performance Based Data -- Huron Heights SS EQAO Report Huron Heights Secondary School was opened in 1962. It is a public high school offering Grade 9 to Grade 12 curriculums in the York Region District School Board which is located in Newmarket, Ontario, Canada and serves students from the Newmarket and East Gwillimbury area. It is also home to the Regional Arts education program for North York Region, called Arts Huron, which provides students with a quality education in dance, drama, visual arts, technology, and music. This article is to analyzesis how Huron Heights SS students perform in mathematic courses according to the 2013-2014 assessment report data of Grade 9 Applied and Academic Mathematics subjects from the Educational Quality Accountability Office (EQAO) of Ontario. However, The EQAO results have limitations to see the school’s overall picture. This article will is also to discuss where the limitations are, how to dig deeply for more data and help the school to for its improvements, as well as for students’ achievements. I. Meaningful Patterns in the Data The 2013-2014 EQAO-Huron Heights report gives a good indication of how students performed relatively from 2009 to 2014, and relative to those throughout the board and the province. Some meaningful patterns are found in the data. Applied Mathematics - The school report for Grade 9 Applied Math assessment results shows a decreasing trend of percentage points of students at or above the......

Words: 2645 - Pages: 11

Premium Essay


...PRODUCTION AND OPERATIONS MANAGEMENT BUS3020 COURSE CONTENT WEEK THREE TOPIC: FORECASTING • Different Methods of Forecasting – Formal and Informal, • Qualitative and Quantitative Methods • Causal methods auto projection methods of forecasting. What is forecasting? Forecasting is the art and science of predicting future events. As a science it uses historical data and projects them into the future using mathematical models. As an art it uses intuition or judgment to predict the future. Why forecast? Done to minimize uncertainty and evaluate risk relating to future events caused by dynamism of the environment within which organizations operate. Such dynamisms includes: a) Changes in legislation b) Stiff competition c) Demographic changes. Forecasting is important for planning and control of functional areas such as; marketing, finance, operations e.t.c.In the public sector, forecasts are used to plan on: Health, Education, Social services e.t.c. Types of forecasts • Demand forecasts – projections of demand for a company’s products or services. • Economic forecasts – predicts inflation rates, money supplies e.t.c • Technological forecasts.- concerned with the rate of technological progress. Forecasting Horizons a) Short – range forecasts: Covers from a few days to 6 months. It concerns issues like purchase forecasts, job scheduling, workforce levels, job assignments, production levels e.t.c. b) Medium range forecasts: Covers usually from 3......

Words: 2685 - Pages: 11

Premium Essay

Cis 336 Week 3 Group Project Task 1 Data Model

...Group Project Task 1 Data Model To Buy This material Click below link Present a detailed data model for the project scenario. You can create your data model using Microsoft Visio, which you will have access to through iLab and Microsoft Excel, which comes with Microsoft Office. Other tools may be used as long as the output is legible and conforms to standard format. (i.e. I will not be able to grade the data model if I cannot tell what it is supposed to be!). Your data model should include a minimum of an ERD and metadata chart (data dictionary). A key component to every task submission is the team responsibilities document. This document should outline the contributions that each member of the team made to completing the task deliverable. There is a sample document in the Doc Sharing tab that can be used, or each team can come up with their own design. As stated in the syllabus, although this is a team project, each member will also be graded on their involvement in the project. This assessment needs to be honest and accurate in describing the individual members’ activities for the task. Deliverables for this task: A completed Data Model to include: An ERD, showing all tables, related attributes, and the primary and foreign keys. This diagram must show both the relationship and cardinality of the relationship using accepted notation. A Data Dictionary (or meta data chart)......

Words: 294 - Pages: 2

Premium Essay

Converting a Physical Data Model to a Logical Model

...Table of Contents Setting up the subject area (if required) 2 Bringing in the tables 4 Assigning appropriate Domains 5 The logical Model 6 Identifying a many to many relationship 7 Replacing a mapping table 7 Renaming Logical Model 15 Entity Names 15 Relationship Names 16 Attribute Names 16 Revisiting Physical Model 19 Relationship Naming 20 FINAL PRODUCT 21 Logical VS Physical 21 Setting up the subject area (if required) 1. Open the target and source Erwin models in the same instance of Erwin. 2. If required create a new subject area in the target model where the tables are going to be copied. Figure 1 – Creating a new subject area 3. Change the default theme to ‘Classic Theme’ (right click on the diagram page and click properties ER Diagram Editor will open up. Change the Theme on the ‘General’ tab) Figure 2 – Selecting a Theme Bringing in the tables 1. Select the tables and relationships (if applicable) from the source model file and paste them in the target model while both models are in Physical mode. Figure 3 – Importing/copying the tables 2. Verify that all the tables you need are copied in the Erwin target model. 3. You can close the source model at this stage (recommended) Assigning appropriate Domains 1. Right click on the table and select ‘column properties’. 2. Assign the correct domain parent to all the columns. Figure 4 Assigning Domains to the columns 3. Once you have assigned......

Words: 1187 - Pages: 5

Premium Essay

Robot Production Volume Data Trends and Analysis

...Debreceni Műszaki Közlemények 2012/1 (HU ISSN 2060-6869) 1 ROBOT PRODUCTION VOLUME DATA TRENDS AND ANALYSIS⊗ TRENDEK ÉS ADATANALÍZIS A ROBOTGYÁRTÁSBAN Bob STRUIJK, BSc, MBA General Manager, Vice President Europe FANUC Robotics Magyarország Ltd. ZM NDU, PhD Student Abstract: To determine how industrial robots has grown and how they will grow and to understand why it has grown in that way, a large number of factors can be investigated: ‐ The annual production volume of industrial robots. ‐ The type of application where the robots were used in ‐ The types of industries adapting robots over time ‐ The geographical markets that used robots over time ‐ Macro-economic data of the automotive industries of the regions involved ‐ The spread and use of industrial robots and UAV’s in current society in industry, its effect on employment. The data analysis will highlight growth trends of the various regions and indicate sectors for growth. Keywords: robots, unmanned aerial vehicle UAV, robot applications, IFR, automobile industry, articulated , BRIC, robot density. Kivonat: A szerző célja bemutatni, hogyan nőtt az iparban alkalmaztott robotok száma, és várhatóan hogyan fog tovább nőni. A szerző az alábbi tényezőket vizsgálja a cikkben: - az előállított ipari robotok száma - az ipari robotok alkalmazási területei - az ipari robotok földrészenkénti alkalmazása - a vizsgált régiók makroökonómiai adatainak vizsgálata az...

Words: 4396 - Pages: 18

Premium Essay

Data Lifecycle Models and Concepts V8.Docx

...Version 7.0 August 10, 2011 INTRODUCTION This is a compilation of data lifecycle models and concepts assembled in part to fulfill Committee on Earth Observation Satellites (CEOS) Working Group on Information Systems and Services (WGISS) and the U.S. Geological Survey (USGS) Community for Data Integration Data Management Best Practices needs. It is intended to be a living document, which will evolve as new information is discovered. CONTENTS 1. Digital Curation Centre (DCC) Lifecycle Model 2. Ellyn Montgomery, USGS, Data Lifecycle Diagram 3. FGDC Stages of the Geospatial Data Lifecycle pursuant to OMB Circular A–16 4. University of Oxford Research Data Management Chart 5. NOAA Environmental Data Life Cycle Functions 6. Open Archival Information System (OAIS) Framework 7. USGS Scientific Information Management Workshop Vocabulary 8. Peter Fox Lifecycle Diagrams 9. National Science Foundation 10. NDIIPP Preserving Our Digital Heritage 11. What Researchers Want 12. EPA Project Life Cycle 13. IWGDD’s Digital Data Life Cycle Model 14. Scientific Data Management Plan Guidance 15. Linear Data Life Cycle 16. Generic Science Data Lifecycle 17. Cassandra Ladino Hybrid Data Lifecycle Model 18. Ray Obuch Data Management – A Lifecycle Approach 19. USGS Data Management Plan Framework (DMPf) – Smith, Tessler, and McHale 20. BLM Data Management Handbook 21. ARL Joint Task Force on Library......

Words: 6051 - Pages: 25