This study was conducted purposely to determine the effect of financial sector development on the performance of manufacturing industries in Ghana. This was done using time series data spanning from 1983 to 2014. The study also specifically examined the trend dynamics (long run) of financial development and manufacturing value added per GDP relationship. The short run and long run effects of financial development on the output of manufacturing industry in Ghana were examined using the ARDL approach. Two proxy variables were used in measuring financial development. The study reveals that financial development measured by broad money supply to GDP has a significant positive effect on the output of manufacturing industry in Ghana both in the short and long run periods. However financial development measured by credit exerts no significant effect on the output of the manufacturing industries both in the short run and long run. Thus, the study concludes that, the choice of indicators of financial development determines the direction and effect of financial development on the output of manufacturing industries in Ghana. For credit advanced to the manufacturing industries to yield the expected results, it is recommended that government should implement accommodating trade policies that will be favorable to the manufacturing sector. Moreover, the central bank should implement policies that will continue to create fierce competition in the financial sector which will make them more efficient.
Data envelopment analysis (DEA) is one of the leading tools used to measure the relative efficiency of peer decision making units (DMUs) which may have multiple inputs and outputs. DEA can give us the improvements that should be done to project the non-efficient DMUs on the efficient frontier. Most productive scale size is a unit on the efficient frontier that maximizes the average productivity of a given mix of inputs and outputs, and all managers seek to get such a scale for their organizations. This paper investigates the MPSS measurements for all-time number 1 ranked single tennis players considering the stats of both Grand Slam and Masters Tournaments. Number of total matches is used as the only input while titles, finals, and semi-finals are used as final outputs. As the Grand Slam Tournaments are twice important than the Masters’ ones, we modify the original model of MPSS to reflect this importance using assurance region (AR) principle. Interesting findings are obtained. Only seven among 25 players achieved MPSS. Roger Federer and Pete Sampras were not in the seven-player list. That is consistent with the fact that they played a big number of matches in Grand Slam and Masters Tournaments. Also, they won too many Tournaments with 500 and 250 points which are not considered in this study.
The main purpose of this study was to develop a decision enhancement studio that facilitates complex asset management decisions through providing services to enhance decision-making. Focus was on the limited maintenance management in water assets in transitional countries. Issues included ineffective decision making; inadequate collaboration among stakeholders on decisions that matter; leakages in the pipe networks, ageing infrastructure; and high levels of non-revenue water. This research uses an engaged scholarship research paradigm with design science research philosophy. Engaged scholarship is descriptive, collaborative, design & evaluate as well as dialogical action research between academics, sector managers and the affected community. Scholarship means something further than research, and engagement is the avenue for scholarship to flourish in studying complex, contemporary social problems. Insights from design science paradigm were effectuated with inductive-hypothetic research strategy to facilitate problem initiation, abstraction, theory formulation, solution implementation and evaluation. The studio was designed, prototyped and implemented in three water utilities in Kenya and Uganda. The evaluation results revealed that the decision enhancement studio for water asset management is usable since it provides guidelines for effective decision making and it is easy to use; the studio is useful since it enhances decisions which lead to reduction in non-revenue water, leakages, response time, property damage, risk of contamination and more stabilized water pressure.
Real Estate Regulation & Development Act, 2016 which is passed in March 2016 & their all section come in force from 1 may 2017 in India. This Act mainly effect to Business Developemnt process of Real Estate Sector. The Real Estate Development Process involves three major groups- consumer group, a production group, and a public infrastructure group. Information generation and sharing is an integral part of the real estate development process, but can this information flow be effectively Process led? Is there a simple yet information ally-rich methodology to detail and understand how it is shared between parties in a complex Real Estate Development? Because the Process is unpredictable, many developers fail to plan as per Real Estate Development, relying on their past experiences or ability to solve problems as they arise. Practitioners who do attempt to Process the development process typically use scheduling and project management software to list out the necessary tasks that occur. In this study analysed effect of Real Estate Regulation & Development Act, 2016 and found difference between Maharashtra, Karnataka, Tamil Nadu and Telagana States. Other side list out effect of RERA on Real estate Sector. Then combine above analysis to find out the parameters which affect the Real Estate Business Development Process. Here attempt made to define & elaborate Real Estate Development process along with financial process.
Background: There are growing concerns that drinking water and wastewater infrastructure is at risk without collaborative effort to improve the management of key assets such as pipelines; treatment plants other facilities and significant investment in maintaining, rehabilitating and replacing these assets. Poor infrastructure asset management has led to leakages in the pipe network and aging infrastructure. Additionally, these issues have contributed to the high share of non-revenue water given at a conservative figure of 40 per-cent in National Water and Sewerage Corporation (NWSC annual report, 2010) Kampala, Uganda.
Aim: The article aims at evaluating the aspects of water asset management decisions supported by information systems, importance of asset management among small to medium water and sanitation utilities in transitional countries, asset management specifications, benefits of asset management, asset management implementation, key influencing factors in asset management, decision support systems for asset management and suggest strategies to address factors influencing asset management challenges.
Methods: The background literature review on water asset management decisions support by information systems among small to medium sized water and sanitation utilities in transitional countries was conducted on several journal articles. Peer-reviewed articles in recent journals were analyzed to identify the aspects of water infrastructure asset management decisions supported by information systems, importance of asset management among small to medium water and sanitation utilities in transitional countries, asset management specifications, benefits of asset management, asset management implementation, factors influencing asset management implementation, decision support systems for asset management and the proposed strategies to address implementation challenges thereof.
Results and Conclusion: Whereas the current guidelines like PAS 55 and ISO 55000 provide standards on asset management, they are lacking in specifics. They do not address themselves on the “how to” of asset management. Water companies are more focused on engineering solutions while putting little emphasis on services. Businesses should focus more on services rather than engineering in order to reduce exposure to risk, operating costs and capital spending. This article has added to the body of existing literature on decision making in water infrastructure asset management, particularly maintenance management among small to medium water and sanitation utilities in transitional countries. As such small to medium sized water and sanitation utilities can use the findings of this article to design asset management decision policy frameworks and provide guidelines on asset management implementation in order to reduce NRW, operational costs, and capital spending and risks.