scholarly journals The introduction of category management in the procurement activities of an oil company in a digital transformation

Author(s):  
Elvira Khalikova ◽  
Tatyana Leybert
2021 ◽  
Author(s):  
Mario Torre ◽  
Analyn Azancot ◽  
Fabián Florez ◽  
Wei Zhou

Abstract This paper presents a structured methodology for an oil company to embark on a digital transformation. It was implemented in several JVs with a NOC that includes three producing blocks with dozens of mature fields. The methodology has several key unique strengths: One is the ability to isolate the core-money-making processes and build a digital strategy around them. This shows early gains and at the same time becomes a buy-in support for management. Another advantage is the simplicity to define the "desired" digital maturity level using direct input from the final stakeholders. This is achieved by using the process enhancement method, a SIPOC technique (Supplier, Input, Process, Output, Customer analysis). Also, an important strength is the methodology does not ignore the existing IT infrastructure, nor the field systems (i.e., SCADA) and re-uses them, as much as possible, giving enough time for a transition or an upgrade when needed. Several tools are provided in this paper that makes the methodology consistent, auditable, and strong to support the designed digital strategy to any management level with high chance of approval. The methodology is flexible enough to be run on various types of contracts, hydrocarbon phase or operational environments. As with any method, it relies on commitment from the top and base line in the organization, requiring open and honest evaluation of current inefficiencies and, equally important, resources (budget and people). In summary, a digital transformation is not a sudden leap from a company's current analog status to an instantaneous digital state of being. Rather, it is a progressive, step-by-step transition of core processes and user-centric workflows that requires careful planning and a thoughtful methodology to find the most suitable scenario for each company.


2021 ◽  
pp. 40-53
Author(s):  
E. A. Kuklina

The article provides a classification of the factors of increased risk of functioning of the up-stream business segment of the oil and gas industry (natural, predictive, behavioral). The results of the analysis of the implementation of innovative development programs by the leading Russian oil and gas companies in the upstream business segment are presented and the programs of their digital transformation are analyzed. The experience of developing a strategy for the digital transformation of a Russian vertically integrated oil company (using the example of Gazprom Neft) is considered. Key problems of digitalization of the industry are formulated and promising directions for their solution are proposed.


2018 ◽  
Vol 23 (09) ◽  
pp. 25-25
Author(s):  
Sabine Schützmann

Am 17. und 18. Oktober findet im Hasso-Plattner-Institut (HPI) in Potsdam zum zweiten Mal die HIMSS Impact statt: Ein englischsprachiges Symposium, welches aktuelle Trends im Gesundheitswesen, digitale Strategien und jüngste Forschungserkenntnisse beleuchtet.


2020 ◽  
pp. 37-55 ◽  
Author(s):  
A. E. Shastitko ◽  
O. A. Markova

Digital transformation has led to changes in business models of traditional players in the existing markets. What is more, new entrants and new markets appeared, in particular platforms and multisided markets. The emergence and rapid development of platforms are caused primarily by the existence of so called indirect network externalities. Regarding to this, a question arises of whether the existing instruments of competition law enforcement and market analysis are still relevant when analyzing markets with digital platforms? This paper aims at discussing advantages and disadvantages of using various tools to define markets with platforms. In particular, we define the features of the SSNIP test when being applyed to markets with platforms. Furthermore, we analyze adjustment in tests for platform market definition in terms of possible type I and type II errors. All in all, it turns out that to reduce the likelihood of type I and type II errors while applying market definition technique to markets with platforms one should consider the type of platform analyzed: transaction platforms without pass-through and non-transaction matching platforms should be tackled as players in a multisided market, whereas non-transaction platforms should be analyzed as players in several interrelated markets. However, if the platform is allowed to adjust prices, there emerges additional challenge that the regulator and companies may manipulate the results of SSNIP test by applying different models of competition.


Author(s):  
A.A. Yuryeva ◽  
◽  
A.A. Stepanov ◽  
I. Pshekhotska ◽  
Ya. Sobon' ◽  
...  

Монография посвящена исследованию проблемы современных императивов реализации инновационной политики в условиях цифровизации как установки на эффективное управление и активизацию инновационного поведения и деятельности. Особое внимание уделено организационно-управленческим, гуманистическим, культурно-историческим, профессионально-кадровым и иным императивам, формирующим потенциальные возможности, открывающие новые перспективы эффективного инновационного развития на основе перехода к новой модели построения и функционирования организации. Императивы нацелены на освоение приемов стандартов взаимодействия субъектов-участников в процессе реализации инновационной политики, которые позволяют эффективно и организованно справляться с возникающими проблемами. Монография рассчитана на профессорско-преподавательский состав университетов, других высших учебных заведений, докторантов, аспирантов, магистрантов, студентов, изучающих проблемы управления реализацией инновационной политики в цифровой экономике.


Author(s):  
Tamara Green

Much of the literature, policies, programs, and investment has been made on mental health, case management, and suicide prevention of veterans. The Australian “veteran community is facing a suicide epidemic for the reasons that are extremely complex and beyond the scope of those currently dealing with them.” (Menz, D: 2019). Only limited work has considered the digital transformation of loosely and manual-based historical records and no enablement of Artificial Intelligence (A.I) and machine learning to suicide risk prediction and control for serving military members and veterans to date. This paper presents issues and challenges in suicide prevention and management of veterans, from the standing of policymakers to stakeholders, campaigners of veteran suicide prevention, science and big data, and an opportunity for the digital transformation of case management.


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