Firm Age and Performance in Kampala, Uganda: A Selection of Small Business Enterprises

Author(s):  
Olutayo K. Osunsan ◽  
Jadwiga Nowak ◽  
Eric Mabonga ◽  
Samuel Pule
The Winners ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Aryo Bismo ◽  
Wensin Halim ◽  
Monica Andini Erwinta

A business should be able to achieve competitive advantage due to technology development in industry 4.0. The digital industry could be relied on to sustain economic growth and encourage equity for small business enterprise to reach more markets and profit, especially during the COVID-19 pandemic, while at the same time to accomplish competitive advantage by having strong infrastructure, creating and sharing knowledge, and formulating strategic decision making, and innovation. The research aimed to provide view about the knowledge management strategies that specifically testing both codification and personalization, and their consequences on innovation and performance in small business enterprise. Data were collected from 46 small business enterprises in Indonesia through online questionnaires, and were analysed using structural equation modelling. The results reveal that knowledge management strategies—codification and personalization—have impacts on innovation and performances directly and indirectly through the increase on innovation capability. It is considered that the research will help small business enterprises to establish a good knowledge management strategy to obtain better profit on a specific condition and environment.


2017 ◽  
Vol 31 (2) ◽  
pp. 151-155
Author(s):  
I. V. Trushchenko

In article the author has considered a role and value of outsourcing for small business enterprises. Small business, as well as other enterprises, can have several kinds of activity that complicates conducting accounting and demands more qualified specialists. Application of services of outsourcing will allow to concentrate on increase in efficiency of primary activities and in general on the organization.


Author(s):  
Chaochao Lin ◽  
Matteo Pozzi

Optimal exploration of engineering systems can be guided by the principle of Value of Information (VoI), which accounts for the topological important of components, their reliability and the management costs. For series systems, in most cases higher inspection priority should be given to unreliable components. For redundant systems such as parallel systems, analysis of one-shot decision problems shows that higher inspection priority should be given to more reliable components. This paper investigates the optimal exploration of redundant systems in long-term decision making with sequential inspection and repairing. When the expected, cumulated, discounted cost is considered, it may become more efficient to give higher inspection priority to less reliable components, in order to preserve system redundancy. To investigate this problem, we develop a Partially Observable Markov Decision Process (POMDP) framework for sequential inspection and maintenance of redundant systems, where the VoI analysis is embedded in the optimal selection of exploratory actions. We investigate the use of alternative approximate POMDP solvers for parallel and more general systems, compare their computation complexities and performance, and show how the inspection priorities depend on the economic discount factor, the degradation rate, the inspection precision, and the repair cost.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3066
Author(s):  
Michał Patyk ◽  
Przemysław Bodziony ◽  
Zbigniew Krysa

Selection and assessment of mining equipment used in open pit rock mines relies chiefly on estimates of overall exploitation cost. The rational arrangement of mining equipment and systems comprising loading machines, haul trucks and crushing plants should be preceded by a thorough analysis of technical and economic aspects, such as investment outlays and the costs of further exploitation, which largely determine the costs of mining operations and the deposit value. Additionally, the operational parameters of the mining equipment ought to be considered. In this study, a universal set of evaluation criteria has been developed, and an evaluation method has been applied for the selection of surface mining equipment and the processing system to be operated in specific mining conditions, defined by the user. The objective of this study is to develop and apply the new methodology of multi-criteria selection of open pit rock mining equipment based on multiple criteria decision-making (MCDM) procedures, to enable the optimization of loading, handling and crushing processes. The methodology, underpinned by the principles of MCDM, provides the dedicated ranking procedures, including the ELECTRE III. The applied methodology allows the alternative options (variants) to be ranked accordingly. Ultimately, a more universal methodology is developed, applicable in other surface mines where geological and mining conditions are similar. It may prove particularly useful in selection and performance assessment of mining equipment and process line configurations in mining of low-quality rock deposits. Therefore, we undertook to develop universal criteria and applications for the selection and performance assessment of process machines for surface mines, taking into account environmental aspects as well as deposit quality.


Author(s):  
Claudio F. Loderer ◽  
Urs Waelchli
Keyword(s):  
Firm Age ◽  

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