The Dynamics of Product Development in Software Startups

2022 ◽  
pp. 2105-2133
Author(s):  
Narendranath Shanbhag ◽  
Eric Pardede
Keyword(s):  
High Pressure ◽  
Software Development ◽  
Product Development ◽  
System Dynamics ◽  
Product Differentiation ◽  
Success Factors ◽  
Three Dimensional ◽  
Relative Ease ◽  
Causal Loop ◽  
Technology Market

Software startups are increasingly under high pressure to deliver successful products to survive and thrive in the modern highly competitive technology market. Larger organizations with deep pockets can replicate the same business ideas used by startups with relative ease. So how does the average startup stand a chance at succeeding at this seemingly David vs. Goliath contest? This article looks at the available literature and identifies such factors that can affect the success of software development startups. Using causal loop constructs from the field of system dynamics, the interactions among the various identified factors are visualised to reveal the dynamics of the system. The result is as a three-dimensional view of success factors in form of time, capital and (product) differentiation. The modelled system is then simulated, and the resultant trend is reviewed and interpreted. This research acts as ground work for analysing the workings of software development startups and sets the stage for a more holistic study of the area, upon which further research can be carried out.

The Dynamics of Product Development in Software Startups

2019 ◽  
Vol 8 (2) ◽  
pp. 51-77
Author(s):  
Narendranath Shanbhag ◽  
Eric Pardede
Keyword(s):  
High Pressure ◽  
Software Development ◽  
Product Development ◽  
System Dynamics ◽  
Product Differentiation ◽  
Success Factors ◽  
Three Dimensional ◽  
Relative Ease ◽  
Causal Loop ◽  
Technology Market

Software startups are increasingly under high pressure to deliver successful products to survive and thrive in the modern highly competitive technology market. Larger organizations with deep pockets can replicate the same business ideas used by startups with relative ease. So how does the average startup stand a chance at succeeding at this seemingly David vs. Goliath contest? This article looks at the available literature and identifies such factors that can affect the success of software development startups. Using causal loop constructs from the field of system dynamics, the interactions among the various identified factors are visualised to reveal the dynamics of the system. The result is as a three-dimensional view of success factors in form of time, capital and (product) differentiation. The modelled system is then simulated, and the resultant trend is reviewed and interpreted. This research acts as ground work for analysing the workings of software development startups and sets the stage for a more holistic study of the area, upon which further research can be carried out.

A Triple Cornerstone Framework for Software Startups

2021 ◽  
pp. 60-90
Author(s):  
Narendranath Shanbhag ◽  
Eric Pardede
Keyword(s):  
High Pressure ◽  
Software Development ◽  
System Dynamics ◽  
Product Differentiation ◽  
Success Factors ◽  
Three Dimensional ◽  
Relative Ease ◽  
Causal Loop ◽  
Technology Market ◽  
Deep Pockets

Software startups are increasingly under high pressure to deliver successful products to survive and thrive in the modern highly competitive technology market. Larger organizations with deep pockets can replicate the same business ideas used by startups with relative ease. So how does the average startup stand a chance at succeeding at this seemingly David vs. Goliath contest? This chapter looks at the available literature and identifies factors that can affect the success of software development startups. Using causal loop constructs from the field of system dynamics, the interactions among the various identified factors are visualized to reveal the dynamics of the system. The result is as a three-dimensional view of success factors in form of time, capital, and (product) differentiation. The chapter also explores the cornerstones in the context of the product and business dimensions of software startups. This research acts as groundwork for analyzing the workings of software startups and sets the stage for a more holistic study upon which further research can be carried out.

Anion packing density: a universal quantity for both dense and porous crystalline inorganic phases

2002 ◽  
Vol 58 (3) ◽  
pp. 457-462 ◽  
Author(s):  
F. Liebau ◽  
H. Küppers
Keyword(s):  
High Pressure ◽  
Packing Density ◽  
Three Dimensional ◽  
Ionic Radii ◽  
Generalized Framework ◽  
Molal Volumes ◽  
Definition Of ◽  
Anion Packing ◽  
Very High ◽  
Framework Density

To compare densities of inorganic high-pressure phases their molal volumes or specific gravities are usually employed, whereas for zeolites and other microporous materials the so-called framework density, FD, is applied. The definition of FD, which refers only to phases with three-dimensional tetrahedron frameworks, is extended to a `generalized framework density' d f, which is independent of the dimensionality of the framework and the coordination number(s) of the framework cations. In this paper the anion packing density, d ap, is introduced as a new quantity which is not only applicable to any inorganic phase but, in contrast to FD and d f, also allows quantitative comparisons to be made for crystalline inorganic phases of any kind. The anion packing density can readily be calculated if the volume and content of the unit cell and the radii of the anions of a phase are known. From d ap values calculated for high-pressure silica polymorphs studied under very high pressure, it is concluded that Shannon–Prewitt effective ionic radii do not sufficiently take into account the compressibility of the anions.

Critical Success Factors of New Product Development and Impact on Performance of Malaysian Automotive Industry

2014 ◽  
Vol 903 ◽  
pp. 431-437 ◽  
Author(s):  
Abdul Aziz Fazilah ◽  
Nur Najmiyah Jaafar ◽  
Sulaiman Suraya
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Automotive Industry ◽  
Critical Success Factors ◽  
Success Factors ◽  
New Product ◽  
Success Factor ◽  
Management Support ◽  
Critical Success ◽  
Research Activities

This research paper shows a framework to conduct an empirical study in Malaysian automotive industry in order to improve their performance. There are factors which are effective factors in improving performance of Malaysian automotive companies namely top management support, cross functional teamwork, new product development (NPD) process, NPD strategies, and market research activities. The critical success factor of NPD is playing a fundamental role in determining the performance in Malaysian automotive companies. In this research study, a framework has been developed that includes critical success factors of NPD and project achievement to study their influence on the performance of Malaysian automotive companies. It is hoped that this paper can provide an academic source for both academicians and managers due to investigate the relationship between critical success factors of total NPD, project achievement and company performance in a systematic manner to increase successful rate of NPD progress.

Design of an Intermediate Turbine Duct Downstream of a High Pressure Turbine

2016 ◽  
Author(s):  
Chaoshan Hou ◽  
Hu Wu
Keyword(s):  
High Pressure ◽  
Three Dimensional ◽  
Low Pressure ◽  
Aerodynamic Load ◽  
Duct Flow ◽  
Original Design ◽  
High Pressure Turbine ◽  
Intermediate Turbine Duct ◽  
Low Pressure Turbine ◽  
Inlet Conditions

The flow leaving the high pressure turbine should be guided to the low pressure turbine by an annular diffuser, which is called as the intermediate turbine duct. Flow separation, which would result in secondary flow and cause great flow loss, is easily induced by the negative pressure gradient inside the duct. And such non-uniform flow field would also affect the inlet conditions of the low pressure turbine, resulting in efficiency reduction of low pressure turbine. Highly efficient intermediate turbine duct cannot be designed without considering the effects of the rotating row of the high pressure turbine. A typical turbine model is simulated by commercial computational fluid dynamics method. This model is used to validate the accuracy and reliability of the selected numerical method by comparing the numerical results with the experimental results. An intermediate turbine duct with eight struts has been designed initially downstream of an existing high pressure turbine. On the basis of the original design, the main purpose of this paper is to reduce the net aerodynamic load on the strut surface and thus minimize the overall duct loss. Full three-dimensional inverse method is applied to the redesign of the struts. It is revealed that the duct with new struts after inverse design has an improved performance as compared with the original one.

scholarly journals Bond switching from two- to three-dimensional polymers ofC60at high pressure

2003 ◽  
Vol 68 (15) ◽  
Author(s):  
Dam Hieu Chi ◽  
Y. Iwasa ◽  
T. Takano ◽  
T. Watanuki ◽  
Y. Ohishi ◽  
...  
Keyword(s):  
High Pressure ◽  
Three Dimensional

Influence of Different Parametrizations on the Optimum Design of a High Pressure Turbine Blade Firtree

2016 ◽  
Author(s):  
Frank Wagner ◽  
Arnold Kühhorn ◽  
Thomas Weiss ◽  
Dierk Otto
Keyword(s):  
High Pressure ◽  
Turbine Blade ◽  
Complex Geometry ◽  
Three Dimensional ◽  
Parametric Models ◽  
Limiting Factor ◽  
High Pressure Turbine ◽  
The Creation ◽  
High Flexibility ◽  
Critical Regions

Today the design processes in the aero industry face many challenges. Apart from automation itself, a suitable parametric geometry setup plays a significant role in making workflows usable for optimization. At the same time there are tough requirements against the parametric model. For the lowest number of possible parameters, which should be intuitively ascertainable, a high flexibility has to be ensured. Within the parameter range an acceptable stability is necessary. Under these constraints the creation of such parametric models is a challenge, which should not be underestimated especially for a complex geometry. In this work different kinds of parametrization with different levels of complexity will be introduced and compared. Thereby several geometry elements will be used to handle the critical regions of the geometry. In the simplest case a combination of lines and arcs will be applied. These will be replaced by superior elements like a double arc construct or different formulations of b-splines. There will be an additional focus on the variation of spline degree and control points. To guarantee consistency a set of general parameters will be used next to the specific ones at the critical regions. The different parameter boundaries have a influence on the possible geometries and should therefore be tested separately before an optimization run. The analysis of the particular parametrization should be compared against the following points: • effort for the creation of the parametrization in theory • required time for the implementation in the CAD software • error-proneness/robustness of the parametrization • flexibility of the possible geometries • accuracy of the results • influence of the number of runs on the optimization • comparison of the best results Even though this assessment matrix is only valid for the considered case, it should show the general trend for the creation of these kinds of parametric models. This case takes a look at a firtree of a high pressure turbine blade, which is a scaled version of the first row from a small to medium aero engine. The failure of such a component can lead to a critical engine failure. For that reason, the modeling/meshing must be done very carefully and the contact between the blade and the disc is of crucial importance. It is possible to use scaling factors for three dimensional effects to reduce the problem to a two dimensional problem. Therefore the contact description is shortened from face-to-line to line-to-point. The main aim of the optimization is the minimization of the tension (notch stress) at the inner bends of the blade respectively at the outer bends of the disc. This has been the limiting factor in previous investigations. At this part of the geometry the biggest improvement are expected from a superior parametrization. Another important constraint in the optimization is the pressure contact (crushing stress) between blade and disc. Additionally the geometry is restricted with measurements of the lowest diameter at specific fillets to fulfill manufacturing requirements.

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