scholarly journals Transformational Decision Making: A Corporate Success Story In Purchasing

2011 ◽  
Vol 7 (3) ◽  
pp. 23
Author(s):  
Diane D. Galbraith ◽  
Fred L. Webb
Keyword(s):  
Decision Making ◽  
Business Students ◽  
Business Management ◽  
Teaching Tool ◽  
Challenging Problem ◽  
Success Story ◽  
History Of ◽  
Management Functions ◽  
Undergraduate Business Students

The purpose of this case study is to provide a pedagogical teaching tool for undergraduate business students to fully comprehend the importance of the business management functions of planning, organizing, leading and controlling businesses. This case is inspired by events in the history of Rockwell International Corporation. As a major conglomerate struggles to transform itself over a period of eight decades, Rockwell provided a challenging problem for students to solve.

Learning from failures: Design improvements using a multiple criteria decision-making process

2003 ◽  
Vol 217 (4) ◽  
pp. 207-216 ◽  
Author(s):  
G G Davidson ◽  
A W Labib
Keyword(s):  
Decision Making ◽  
Failure Modes ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Mathematical Representation ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Invaluable Tool ◽  
History Of

This paper proposes a new concept of decision analysis based on a multiple criteria decision making (MCDM) process. This is achieved through the provision of a systematic and generic methodology for the implementation of design improvements based on experience of past failures. This is illustrated in the form of a case study identifying the changes made to Concorde after the 2000 accident. The proposed model uses the analytic hierarchy process (AHP) mathematical model as a backbone and integrates elements of a modified failure modes and effects analysis (FMEA). The AHP has proven to be an invaluable tool for decision support since it allows a fully documented and transparent decision to be made with full accountability. In addition, it facilitates the task of justifying improvement decisions. The paper is divided as follows: the first section presents an outline of the background to the Concorde accident and its history of related (non-catastrophic) malfunctions. The AHP methodology and its mathematical representation are then presented with the integrated FMEA applied to the Concorde accident. The case study arrives at the same conclusion as engineers working on Concorde after the accident: that the aircraft may fly again if the lining of the fuel tanks are modified.

Mechanical Handling Engineers—A Case for Engineering Management with Style

1988 ◽  
Vol 202 (3) ◽  
pp. 171-175
Author(s):  
T W Batley
Keyword(s):  
Mechanical Engineer ◽  
Decision Making ◽  
New Zealand ◽  
Future Development ◽  
Business Management ◽  
Profit Sharing ◽  
Engineering Management ◽  
Engineering Company ◽  
Mechanical Handling

This case study concerns a mechanical engineer who has strong views on business management. He purchased a small engineering company in Dunedin, New Zealand, and put into practice his managerial philosophies of worker participation in decision-making and profit-sharing. The paper reviews the progress of the company during its first three years and then discusses the options for its future development.

Implementation of Business Intelligence in Product Services a Banking (Case Study: PT Bank Sumsel Babel Baturaja Branch)

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Sekar Sari Wiradarma ◽  
Ken Dhita Tania ◽  
Dinna Yunika Hardiyanti
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Quality Information ◽  
Product Data ◽  
Product Service ◽  
History Of ◽  
Adaptive Nature ◽  
User Friendly ◽  
Intelligence Application

AbstractBusiness Intelligence (BI) is a collection of theories, methodologies, processes, architectures, and technologies that convert raw data into quality information for business purposes. BI can handle a large amount of information that can help in identifying problems and developing new opportunities. In designing and implementing Business Intelligence (BI) concept for monitoring banking product service using reference business intelligence roadmap approach. Business intelligence roadmap is one example of BI development that can be emulated because of its agile and adaptive nature and is intended to support the development of BI. By utilizing Business Intelligence application on transaction history of banking product data, it is hoped able to produce information that can support in giving recommendation and decision making appropriately. The data and information generated also become more accessible and easier to understand (user friendly).Keywords: business intelligence, business intelligence roadmap, OLAP, banking products

Understanding Dishonest Academic Behaviour Amongst Business Students – The Business Leaders of the Future

2014 ◽  
Vol 28 (5) ◽  
pp. 331-340 ◽  
Author(s):  
Jeffrey Bagraim ◽  
Suki Goodman ◽  
Stephanie Pulker
Keyword(s):  
Academic Dishonesty ◽  
Online Survey ◽  
Theory Of Planned Behaviour ◽  
Structural Model ◽  
Business Students ◽  
Business Leaders ◽  
Business Practices ◽  
Planned Behaviour ◽  
History Of ◽  
Undergraduate Business Students

This study applies the Theory of Planned Behaviour (TPB) to increase understanding about dishonest academic behaviour amongst undergraduate business students. A total of 579 respondents from three universities in South Africa completed an online survey about their beliefs regarding academic dishonesty, their intentions to engage in dishonest academic behaviour and their recent history of dishonest academic behaviour. A partial least squares (PLS) structural model shows that the TPB significantly explains dishonest academic behaviour. Validated TPB models that help to predict dishonest academic behaviour should be helpful in designing interventions to decrease academic dishonesty and thereby help to prevent later unethical business practices.

Boston

Urban Health ◽  
2019 ◽  
pp. 316-324
Author(s):  
Russ Lopez
Keyword(s):  
Decision Making ◽  
Environmental Conditions ◽  
Public Policies ◽  
Careful Consideration ◽  
Urban Populations ◽  
History And Memory ◽  
The Public ◽  
New Development ◽  
History Of

Understanding the history of a place is essential for incorporating local concerns and values into decision-making. Most important, history is present whether we acknowledge it or not. Creating change and improving the lives and health of the public demands effective public policies. These policies must rest on the foundation of a city’s or neighborhood’s history. Channeling new development, preserving and protecting health, and meeting challenges posed by changing environmental conditions need the participation and support of thousands of people. These issues are never discussed in a vacuum, and no problems are solved without regard to history and memory. The Boston experience highlights the need for careful consideration of present conditions in order to prepare for the unknown future. This chapter discusses Boston as a case study, aiming to understand how history shapes cities and creates health in urban populations.

Prince Kola Beverages Limited (PKBL)

2021 ◽  
Vol 18 (2) ◽  
pp. 156-159
Author(s):  
Shazib E. Shaikh
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Online Learning ◽  
Scenario Analysis ◽  
Management System ◽  
Middle Managers ◽  
Business Students ◽  
Microsoft Excel ◽  
Spreadsheet Modelling ◽  
Undergraduate Business Students

Prince Kola Beverages Limited (PKBL) is an introduction-level decision modelling case that aims to help develop what-if analysis and spreadsheet modelling skills. It has already been taught in three cohorts of my executive course customized for Coca Cola Beverages Pakistan (CCBPL) Limited middle managers, ‘Data Savvy Decision-Making’, and was warmly received. It is also suitable for both MBA and undergraduate business students. The problem involves using elementary forecasting, scenario analysis and sensitivity analysis without the complexity of statistics. This was also part of a 4-hour session in executive courses that included in-lab trainings on Microsoft Excel what-if analysis tools. For 80–90-minute sessions, students must have already been equipped with these tools. Additionally, it would be better to have the spreadsheets of students submitted by an online learning management system in advance of the class so that their models can be displayed in class and debated.

The Case Study

2017 ◽  
pp. 1-14
Author(s):  
Joseph Brady
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Case Studies ◽  
Real World ◽  
Business Students ◽  
Traditional Lecture ◽  
Active Teaching ◽  
Simulated Environment ◽  
Real World Problem

Today's complex and global corporate environment requires business students to enter the workplace with more diverse skills and the ability to make useful decisions in their careers. The old adage of speaking “to” students in a classroom through straight lecturing is becoming less relevant in today's dynamic world. Rather, students must be engaged in the classroom and educators should provide the opportunity to enhance their decision making skills through real world problem solving. One way to do this is through the methods of active teaching and the utilization of case studies. Case studies are a story, or a narrative, that can induce higher critical thinking and engagement in the classroom and can prepare students for their careers by helping them make real world decisions in a simulated environment. This chapter focuses on the fundamental differences between traditional, lecture-based teaching and the importance of active learning in higher education.

The Case Study

2018 ◽  
pp. 329-342
Author(s):  
Joseph Brady
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Case Studies ◽  
Real World ◽  
Business Students ◽  
Traditional Lecture ◽  
Active Teaching ◽  
Simulated Environment ◽  
Real World Problem

Today's complex and global corporate environment requires business students to enter the workplace with more diverse skills and the ability to make useful decisions in their careers. The old adage of speaking “to” students in a classroom through straight lecturing is becoming less relevant in today's dynamic world. Rather, students must be engaged in the classroom and educators should provide the opportunity to enhance their decision making skills through real world problem solving. One way to do this is through the methods of active teaching and the utilization of case studies. Case studies are a story, or a narrative, that can induce higher critical thinking and engagement in the classroom and can prepare students for their careers by helping them make real world decisions in a simulated environment. This chapter focuses on the fundamental differences between traditional, lecture-based teaching and the importance of active learning in higher education.

scholarly journals Spatial and temporal quantification of forest residue volumes and delivered costs

2016 ◽  
Vol 46 (6) ◽  
pp. 832-843 ◽  
Author(s):  
Lucas A. Wells ◽  
Woodam Chung ◽  
Nathaniel M. Anderson ◽  
John S. Hogland
Keyword(s):  
Decision Making ◽  
Basal Area ◽  
Management Decision ◽  
Forest Inventory And Analysis ◽  
Forest Residue ◽  
Management Decision Making ◽  
Sensing Model ◽  
History Of ◽  
Quadratic Mean Diameter

Growing demand for bioenergy, biofuels, and bioproducts has increased interests in the utilization of biomass residues from forest treatments as feedstock. In areas with limited history of industrial biomass utilization, uncertainties in the quantity, distribution, and cost of biomass production and logistics can hinder the development of new bio-based industries. This paper introduces a new methodology to quantify and spatially describe delivered feedstock volumes and costs across landscapes of arbitrary size in ways that characterize operational and annual management decision-making. Using National Agricultural Imagery Program (NAIP) imagery, the forest is segmented into operational-level treatment units. A remote sensing model based on NAIP imagery and Forest Inventory and Analysis plot data are used to attribute treatment units with stand-level estimates of basal area, tree density, aboveground biomass, and quadratic mean diameter. These methods are applied to a study site in southwestern Colorado to assess the quantity and distribution of treatment residue for use in bioenergy production. Results from the case study demonstrate how this generalized approach can be used in the analysis and decision-making process when establishing new bioenergy industries that use forest residue as feedstock.

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