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

2019 ◽  
pp. 81-82
Author(s):  
George K. Strodtbeck ◽  
Mohan V. Tatikonda
Keyword(s):  
2018 ◽  
Vol 26 (2) ◽  
Author(s):  
Dean A. Forbes

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. 


2021 ◽  
Vol 7 (4) ◽  
pp. 649-661
Author(s):  
Habib Musa Mohamad ◽  
Mohamad Ibrahim Mohamad ◽  
Ismail Saad ◽  
Nurmin Bolong ◽  
J. Mustazama ◽  
...  

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


2020 ◽  
pp. 108-117
Author(s):  
Greg Fisher ◽  
John E. Wisneski ◽  
Rene M. Bakker

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.


Author(s):  
Krystian Barłożewski

This paper posits, based on the data set covering an 8‑year period between 2006 and 2013, that Polish firms show an inverted U-curve relationship between multinationality and performance. At the beginning of internationalization a short stage of rising performance might be observed, however, quickly rising costs stemming from the liability of newness and foreignness lead to a fall in performance. This is not only contrary to the predictions resulting from the traditional S-curve analysis but also indicates that executives’ high expectations regarding foreign expansion might be a sign of a “global illusion”.


Data in Brief ◽  
2021 ◽  
pp. 107662
Author(s):  
Katherine A Collett ◽  
Sivapriya M Bhagavathy ◽  
Malcolm D McCulloch

2019 ◽  
Vol 7 (2) ◽  
pp. 110-119
Author(s):  
Dian Dwi Putra ◽  
Ninik Paryati ◽  
Elma Yulius

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.


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