S-Curve Analysis

2020 ◽  
pp. 108-117
Author(s):  
Greg Fisher ◽  
John E. Wisneski ◽  
Rene M. Bakker
Keyword(s):  
Curve Analysis ◽  
Strategic Decisions ◽  
Underlying Theory ◽  
Market Product ◽  
The Future ◽  
S Curve ◽  
Core Idea

The purpose of an S-curve analysis is to understand and interpret the evolution of a market, product, or technology so as to make informed strategic decisions about where value may be created now and in the future. S-curves map out this evolution, from its relatively slow emergence, to the point where it begins to grow and growth accelerates, to the point where the market becomes saturated and growth begins to slow and even decline. This chapter discusses the underlying theory, core idea, depiction, process, insight or value created, and risks and limitations of S-curve analysis. The chapter also discusses the illustration of Spotify and applies the steps of S-curve analysis to this case.

Competitor Analysis

2020 ◽  
pp. 57-66
Author(s):  
Greg Fisher ◽  
John E. Wisneski ◽  
Rene M. Bakker
Keyword(s):  
Competitive Advantage ◽  
Systematic Approach ◽  
Complete Picture ◽  
The Core ◽  
Underlying Theory ◽  
Competitor Analysis ◽  
The Future ◽  
Core Idea ◽  
Future Plans

The purpose of a competitor analysis is to provide managers with a complete picture of the competitive landscape confronting a firm. The core idea behind a competitor analysis is to use a systematic approach to (1) identify current and future rivals to a firm, (2) assess the strengths and weaknesses of current and future rivals, (3) determine a match between a competitor’s strategies and capabilities, (4) analyze the future plans and intentions of rivals, and (5) predict a competitor’s reaction to initiatives launched by a firm. The ability to anticipate the response by rivals provides a firm with a competitive advantage. This chapter discusses the underlying theory, core idea, depiction, process, insight or value created, and risks and limitations of competitor analysis. Finally, the chapter offers the illustration of Netflix and applies the steps of competitor analysis to this case.

scholarly journals Faktor Keterlambatan Pekerjaan Struktur Gedung terhadap Biaya Pelaksanaan pada Proyek Pembangunan Hotel di Bekasi

2019 ◽  
Vol 7 (2) ◽  
pp. 110-119
Author(s):  
Dian Dwi Putra ◽  
Ninik Paryati ◽  
Elma Yulius
Keyword(s):  
Time Delays ◽  
Service Providers ◽  
Construction Project ◽  
Curve Analysis ◽  
Cost Overruns ◽  
The Future ◽  
Spss Software ◽  
S Curve ◽  
The Cost ◽  
Project Delay

Nowadays, delays in project often occur and cause various losses both for service providers and users. For the contractors, delays create the project cost overruns due to project overtime and can decrease contractor credibility in the future. This study aims to analyze a project delay by minimizing the work delays earlier. The analysis of a hotel building planning regarding the cost and time delays is done qualitatively by distributing questionnaires to the contractors and processing the responses using the SPSS software. The results of the S curve analysis and 30 factors that caused the project delay were identified and indicated that there was a delay value of 1.26% with five variables that most contributed to the delay in the construction project at PT. Wijaya Kusuma Contractors, i.e. reworking due to construction errors, low coordination between contractors and stakeholders, late material delivery, and equipment shortages.

Two Candidate Approaches o Text Sequencing: An Addendum to “The Diachrony Debate: A Tutorial on Methods”

2018 ◽  
Vol 26 (2) ◽  
Author(s):  
Dean A. Forbes
Keyword(s):  
Computational Biology ◽  
Middle English ◽  
Diagnostic Tool ◽  
Reliable Method ◽  
Biblical Hebrew ◽  
Quantitative Comparison ◽  
Curve Analysis ◽  
Single Feature ◽  
S Curve ◽  
Temporal Ordering

In a recent essay published in this journal, I illustrated the limitations one may encounter when sequencing texts temporally using s-curve analysis. I also introduced seriation, a more reliable method for temporal ordering much used in both archaeology and computational biology. Lacking independently ordered Biblical Hebrew (BH) data to assess the potential power of seriation in the context of diachronic studies, I used classic Middle English data originally compiled by Ellegård. In this addendum, I reintroduce and extend s-curve analysis, applying it to one rather noisy feature of Middle English. My results support Holmstedt’s assertion that s-curve analysis can be a useful diagnostic tool in diachronic studies. Upon quantitative comparison, however, the five-feature seriation results derived in my former paper are found to be seven times more accurate than the single-feature s-curve results presented here. 

scholarly journals A Case Study of S-Curve Analysis: Causes, Effects, Tracing and Monitoring Project Extension of Time

2021 ◽  
Vol 7 (4) ◽  
pp. 649-661
Author(s):  
Habib Musa Mohamad ◽  
Mohamad Ibrahim Mohamad ◽  
Ismail Saad ◽  
Nurmin Bolong ◽  
J. Mustazama ◽  
...  
Keyword(s):  
Construction Projects ◽  
Curve Analysis ◽  
Sustainable Construction ◽  
Life Project ◽  
Contract Administration ◽  
Long Run ◽  
Application Techniques ◽  
S Curve ◽  
Project Delay

S-Curve analysis in the construction interpreted as managing project with knowledge and traceable in the context of sustainable construction while displays the cumulative costs, labour hours or other quantities plotted against time. In the contract administration, delays in completing a construction project led to the breach of contract but, in contracts itself allow the construction period to be extended where there are delays that are not the contractor's fault. Under those circumstances, a presentation of a case-study regarding the analysis of S-Curve of a life project drew comparative interpretation of project performance towards project delivery schedule has been conducted in private initiative project. This study aims to investigate and examine the factors that cause delays in construction projects from the perspective of S-curve representations. The paper aims to provide in depth light about the existing causes of project delay and describe the key sources of financing problem and identify the consequences of contraventions of contract. Two distinct parts divided which are refers to the methods used to assess the perceptions of clients, consultants, and contractors on the relative importance of causes of delay in a project and referred to the procurement and documentation to analyse the delay. As a result, an Extension of Time (EOT) granted and identically changed the progress towards extension time where better planning demanded for improvement and restoration progress kept on track. This paper presented a practical and comparative S-Curve within extension of time to ensure delivery of project on schedule. In the long run, the identified causes are combined into 16 factors. Finally, the result of this match was brought in order to critically understand and provide a guideline to contractor in preparing EOT application and choose reliable factor based on the specific circumstances of project delay factors thorough review conducted to reveal the nature of EOT application techniques. Doi: 10.28991/cej-2021-03091679 Full Text: PDF

Preparing for the Next S-Curve—Cross-Curve Analysis

2019 ◽  
pp. 81-82
Author(s):  
George K. Strodtbeck ◽  
Mohan V. Tatikonda
Keyword(s):  
Curve Analysis ◽  
S Curve

Balanced Scorecard

2020 ◽  
pp. 185-194
Author(s):  
Greg Fisher ◽  
John E. Wisneski ◽  
Rene M. Bakker
Keyword(s):  
Human Resources ◽  
Balanced Scorecard ◽  
Financial Marketing ◽  
The Balanced Scorecard ◽  
Underlying Theory ◽  
Holistic Perspective ◽  
Marketing Operations ◽  
Core Idea ◽  
Monitoring Performance ◽  
Implement Strategy

The purpose of the balanced scorecard is to provide a holistic perspective to setting firm goals and monitoring performance. The balanced scorecard provides a financial, marketing, operations, and human resources perspective of a firm’s performance. When used to implement strategy, the balanced scorecard approach prompts managers to think about what needs to happen in different elements of the business for the strategy to take hold. It encourages managers to think about how the strategy will impact the customer, operational, and people processes to ultimately affect financial results. This chapter discusses the underlying theory, core idea, depiction, process, insight or value created, and risks and limitations of the balanced scorecard. The chapter also continues the illustration of the Chocolate Moose and applies the steps of the balanced scorecard to this case.

Vertical Integration

2020 ◽  
pp. 149-162
Author(s):  
Greg Fisher ◽  
John E. Wisneski ◽  
Rene M. Bakker
Keyword(s):  
Vertical Integration ◽  
Value Chain ◽  
Strategic Decision ◽  
Integration Framework ◽  
Underlying Theory ◽  
A Value ◽  
Core Idea ◽  
Integration Analysis

A key strategic decision for managers is deciding on the scope of assets to be owned and controlled by a firm (i.e. what should be owned by a firm and what should be purchased or outsourced?). A vertical integration framework (sometimes also called a make-or-buy framework) provides a structured way to think about such decisions. It helps managers make decisions about which assets and elements of a value chain a firm should own and which they can buy from other firms. This chapter discusses vertical integration’s underlying theory, core idea, depiction, process, insight or value created, and risks and limitations. The chapter also discusses the illustration of Starbucks and applies the steps of vertical integration analysis to this case.

STEEP

2020 ◽  
pp. 36-45
Author(s):  
Greg Fisher ◽  
John E. Wisneski ◽  
Rene M. Bakker
Keyword(s):  
Political Factors ◽  
Boundaries Of The Firm ◽  
Underlying Theory ◽  
Japan Tobacco ◽  
Core Idea

The purpose of a macro-environmental (STEEP) analysis is to capture and interpret what is happening (and what is likely to happen) in the environment in which a business operates. It accounts for the broad trends, forces, and changes beyond the boundaries of the firm, which may impact the operations and markets of the firm. STEEP stands for social, technical, economic, ecological, and political factors. This chapter discusses the underlying theory, core idea, depiction, process, insight or value created, and risks and limitations of STEEP analysis. Finally, the chapter offers the illustration of Japan Tobacco International and applies the steps of STEEP analysis to this case.

Strategic Human Resource Allocation for an Internal Labor Market

2002 ◽  
pp. 299-310
Author(s):  
Wilfred S.J. Geerlings ◽  
Alexander Verbraeck ◽  
Jon van Beusekom ◽  
Ron P.T. de Groot ◽  
Gino Damen
Keyword(s):  
Resource Allocation ◽  
Labor Market ◽  
Human Resources ◽  
Human Resource ◽  
Manpower Planning ◽  
Strategic Decisions ◽  
Business Objectives ◽  
Forecasting Models ◽  
The Future ◽  
Insight Into

Every organization needs a staff appropriate for its tasks in order to accomplish its business objectives, both now and in the future. To gain insight into the quality and number of staff needed in the future, human resource forecasting models are being used. This chapter addresses the design of a simulation model for human resources forecasting, which is being developed for the Chief of Naval Personnel, Royal Netherlands Navy. The aim is to provide the Director of Naval Manpower Planning with tools that give insight into the effects of strategic decisions on personnel buildup, and the effects of changes in personnel on reaching the organization’s business objectives.

Technology Evolution Modeling and Decision Making Under Uncertainty

2012 ◽  
Author(s):  
Jonathan L. Arendt ◽  
Daniel A. McAdams ◽  
Richard J. Malak
Keyword(s):  
Decision Making ◽  
Research And Development ◽  
Wind Turbine ◽  
Technology Development ◽  
Modeling Technique ◽  
Technology Evolution ◽  
The Future ◽  
S Curve ◽  
Evolution Modeling

Design is an uncertain human activity involving decisions with uncertain outcomes. Sources of uncertainty in product design include uncertainty in modeling methods, market preferences, and performance levels of subsystem technologies, among many others. The performance of a technology evolves over time, typically exhibiting improving performance. As the performance of a technology in the future is uncertain, quantifying the evolution of these technologies poses a challenge in making long-term design decisions. Here, we focus on how to make decisions using formal models of technology evolution. The scenario of a wind turbine energy company deciding which technology to invest in demonstrates a new technology evolution modeling technique and decision making method. The design of wind turbine arrays is a complex problem involving decisions such as location and turbine model selection. Wind turbines, like many other technologies, are currently evolving as the research and development efforts push the performance limits. In this research, the development of technology performance is modeled as an S-curve; slowly at first, quickly during heavy research and development effort, and slowly again as the performance approaches its limits. The S-curve model typically represents the evolution of just one performance attribute, but designers generally deal with problems involving multiple important attributes. Pareto frontiers representing the set of optimal solutions that the decision maker can select from at any point in time allow for modeling the evolution of technologies with multiple attributes. As the performance of a technology develops, the Pareto frontier shifts to a new location. The assumed S-curve form of technology development allows the designer to apply the uncertainty of technology development directly to the S-curve evolution model rather than applying the uncertainty to the future performance, giving a more focused application of uncertainty in the problem. The multi-attribute technology evolution modeling technique applied in decision-making gives designers greater insight when making long-term decisions involving technologies that evolve.

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