BUSINESS REPORTING AND COMMUNICATIONS—A KEY CAPITAL MANAGEMENT TOOL FOR THE AUSTRALIAN PETROLEUM INDUSTRY

2006 ◽  
Vol 46 (1) ◽  
pp. 481
Author(s):  
M. Bray

In their most recent world investment outlook, the International Energy Agency (IEA) forecast a global petroleum investment requirement of US$6 trillion through to 2030.The annual average requirement is very high relative to capital raising levels in the sector. The IEA, however, predicts that the investment gap should be able to be financed.It goes on to suggest in particular that the future success of the Australian petroleum sector will not be necessarily constrained by access to sufficient capital, rather, the key impediment will be the availability of attractive and viable investment propositions.Organisations that are able to mount such a proposition will be doing so in the face of present reporting limitations, technological change, cross-sector capital competition, global energy market changes, constraints of capital markets and short-term perspectives, impacts of regulation, threats on security of licences to operate and the importance of corporate reputations in areas like sustainability and social performance.A new model of business performance reporting and communications is required for the petroleum sector and businesses to meet these challenges. Definitions of business reporting and communications are set out in Box 1.Critical areas in a new model are:stimulating improved stakeholder understanding of business models;synchronising stakeholder decision-making models with business performance reports; and,precision in stakeholder decision-making processes based upon insights about performance drivers and risks and the performance outlook.This paper explains why fit-for-purpose business reporting and communications are critical success factors—not only in attracting the financing to meet the 25-year investment requirement, but, more importantly, in helping Australian petroleum businesses to differentiate their performance from others.

2021 ◽  
Vol 46 (341) ◽  
pp. 39-52
Author(s):  
Oleksandr Datsii ◽  
Nataliia Levchenko ◽  
Ganna Shyshkanova ◽  
Oleg Platonov ◽  
George Abuselidze

Abstract The work states that the strategic guideline for building an effective competitive national transport system and prosperous using Ukrainian multimodal potential is the formation of a regulatory environment for scaling ESG-investment in the context of transformation to a “climate-neutral” economy. The absence of a unified methodology for (assessment) scoring ESG-direction of business as the basis for decision-making on ESG-investment is established in the world and national practice. For the first time, the author’s model of scoring trends and regularities of business development is proposed in accordance with ESG-principles, in contrast to traditional trend dynamic models, which identifies and iteratively conceptualizes processes by the set of ESG-indicator components determined using the cocoupling-analysis toolkit (tools for assessing the cocoupling-effect). A classification of the cocoupling-effect has been developed and each of its types has been characterized. Possible options for ESG-effectiveness of business are identified, which conditionally correspond to the four zones of the ESG-investment decision-making matrix. A research on the expected cocoupling-effect of ESG-investment in the multimodal transportation development is carried out to validate the feasibility of implementation the author’s scoring model for the ESG-direction of business and obtaining realistic results according to the data of the International Energy Agency and the State Statistics Service of Ukraine. An effective measures arsenal of creating the regulatory framework for ESG-investment in the multimodal transportation development is identified and a Roadmap is proposed for their high-quality implementation, which would ensure positive changes in Ukraine’s position in the world ranking of countries by multimodal potential usage efficiency.


2005 ◽  
Vol 10 (3) ◽  
pp. 503-526
Author(s):  
The-Hiep Nguyen

In the energy field and more specifically in the petroleum sector, several models have been developed with a view to determining long-term price strategies and supply and demand flows without considering the sector in question from an oligopolistic perspective : institutions have been excluded from these models. This study explicitly recognizes the importance of variables often characterized as extra-economic and proposes to examine the degree of OPEC's stability. Among the factors that could negatively influence this stability are bilateral oil agreements, the coalition of consumer countries within the International Energy Agency and rivalry among the members of OPEC. The respective weight of each of these factors has been carefully examined. On the other hand, an oil price indexing formula accepted and respected by all parties concerned would ensure the stability of this organization. However, stability via indexing is unlikely as it is difficult to find a formula acceptable to all parties. It is therefore to be anticipated that the world energy and petroleum situation in the near future will be a function of the policies of the two poles : the United States, the largest consumer, and Saudi Arabia, the largest producer. The functions-objectives of these two countries have also been examined in order to derive a number of specific hypotheses relative to the eventual evolution of the energy and petroleum sector.


2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.


1999 ◽  
Author(s):  
Curtis A. Palmer ◽  
Allan Kolker ◽  
Jason C. Willett ◽  
Stanley J. Mroczkowski ◽  
Robert B. Finkelman ◽  
...  

2018 ◽  
Vol 28 (5) ◽  
pp. 1489-1496
Author(s):  
Branislav Stanisavljević

Research carried out in the last few years as the example of companies belonging to the category of medium-size enterprises has shown that, for example, typical enterprises, of the total number of data processed in information of importance for its business, seriously takes into consideration and process only 10% of the observed firms. It is justifiable to ask whether these 10% of the processed and analyzed business information can have an adequate potential or motive power to direct the organization to success that is measured by competitive advantages and on a sustainable basis? Or, the question can be formulated: what happens to the rest, mostly 90% of the information that the enterprise does not transform into a form suitable for business analysis and decision-making. It is precisely the task of business intelligence to find a way to utilize all the data collected and processed in the business decision-making process. In this regard, we can conclude that Business Intelligence is, in fact, the framework title for all tools and / or applications that will enable the collection, processing, analysis, distribution to decision-making bodies in the business system in order to derivate from this information valid business decisions - as the most important and / or most important task of the manager. Of course, from an economic point of view, the best decisions are management decisions that provide a lasting competitive advantage and achieve maximum financial performance. This means that business intelligence actually allows a more complete and / or comprehensive view of the overall business performance of all its parts and subsystems. But the system functions can be measured essential and positive economic and financial performance, as well as the position in the branch of the business to which it belongs, and wider, within the national economy. (Of course, today the boundaries of the national economy have become too crowded for many companies, bearing in mind globalization and competitiveness in the light of organization of work and business function). The advantage of business intelligence as a model, if accepted at the organization level, ensures that each subsystem in the organization receives precisely the information needed to make development decisions, but also decisions regarding operational activities. So, it should be born in mind that business intelligence does not imply that information is shared on some key words, on the contrary, the goal is to look at the context of the business, or in general, and that anyone in the further decision hierarchy can manage exactly the same information that is necessary for achieving excellent business performance. Because, if the insight into the information is not complete, the analysis is based on the description of individual parts, i.e. proving partial performance in the realization of individual information, which can certainly create a space for the loss of the expensive time and energy. Illustratively, if the view, or insight into the information, is not 100%, then all business decision-making is like the song of J.J. Zmaj "Elephant", about an elephant and a blindmen, where everyone feels and act only on the base of the experienced work, and brings judgment on what is what or what can be. As in this song for children, everyone thinks that he touches different animals and when they make claims about what they feel, everyone describes a completely different life. Therefore, business intelligence implies that information is fully considered and it is basically the basis or knowledge base, and therefore the basis of business excellence. In doing so, the main problem is how information is transformed into knowledge and based on it in business decision making. It is precisely in this segment that the main advantage of business intelligence is its contribution to the knowledge and business of the company based on power of knowledge. Therefore, for modern business conditions, it is characteristic that the management of the company is realized on the basis of partial knowledge about stakeholders (buyers, suppliers, competitors, shareholders, governments, institutional framework, legislation), and only a complete overview of managers at the highest level in all these partial interest groups allows managers to have a “boat” called the organization of labor leading a safe hand through the storm, Scile and Haribde threatens to endanger business, towards a calm sea and a safe harbor - called a sustainable competitive advantage based on power and knowledge.


Author(s):  
Bin Guo ◽  
Shengyue Hao ◽  
Guangmei Cao ◽  
Honghu Gao

Profit distribution plays an important role in the sustainable and stable development of liner alliances, this paper tries to solve the profit distribution issues in the liner alliance based on Shapley Value Method. Meanwhile, seeing that there is little consideration from the customer satisfaction, this paper establishes a new model by revising Shapley Value Method to distribute the profit of liner alliances from the perspectives of suppliers and customers and carry out verification through case analysis. The profit distribution method proposed in the paper is helpful to the reasonable profit distribution of liner alliance. It ensures the continuity and stability of liner alliance and provides a scientific decision-making basis for the profit distribution of liner alliance.


2021 ◽  
pp. 1-21
Author(s):  
Christian Downie

Abstract In policy domains characterised by complexity, international organizations (IOs) with overlapping mandates and governance functions regularly interact in ways that have important implications for global governance. Yet the dynamics of IO interactions remain understudied. This article breaks new ground by building on the theoretical insights of organizational ecology to examine IO competition, cooperation, and adaptation in the domain of energy. Drawing on original empirical data, I consider three related hypotheses: (1) competition between IOs in the same population is likely to centre on material resources; (2) IOs are more likely to cooperate when they have a shared governance goal; and (3) individual IOs can adapt by changing their goals and boundaries. In considering these hypotheses, this article highlights the limits of the organizational ecology approach and the need to broaden it to account for the possibility that IOs do cooperate, and that individual IOs, such as the International Energy Agency, have the capacity to adapt to changes in their environment.


2021 ◽  
Vol 9 (6) ◽  
pp. 596
Author(s):  
Murugan Ramasamy ◽  
Mohammed Abdul Hannan ◽  
Yaseen Adnan Ahmed ◽  
Arun Kr Dev

Offshore vessels (OVs) often require precise station-keeping and some vessels, for example, vessels involved in geotechnical drilling, generally use Spread Mooring (SM) or Dynamic Positioning (DP) systems. Most of these vessels are equipped with both systems to cover all ranges of water depths. However, determining which system to use for a particular operational scenario depends on many factors and requires significant balancing in terms of cost-benefit. Therefore, this research aims to develop a platform that will determine the cost factors for both the SM and DP station-keeping systems. Operational information and cost data are collected for several field operations, and Artificial Neural Networks (ANN) are trained using those data samples. After that, the trained ANN is used to predict the components of cost for any given environmental situation, fieldwork duration and water depth. Later, the total cost is investigated against water depth for both DP and SM systems to determine the most cost-effective option. The results are validated using two operational scenarios for a specific geotechnical vessel. This decision-making algorithm can be further developed by adding up more operational data for various vessels and can be applied in the development of sustainable decision-making business models for OVs operators.


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