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This study aims to investigate why anti-corruption statutes are not efficient in Nigeria’s upstream petroleum industry.

This study is a doctrinal legal research that embraces a point-by-point comparative methodology with a library research technique.

This study reveals that corruption strives on feeble implementation of anti-corruption legal regime and the absence of political will in offering efficient regulatory intervention. Finally, this study finds that anti-corruption organisations in Nigeria are not efficient due to non-existence of the Federal Government’s political will to fight corruption, insufficient funds and absence of stringent implementation of the anti-corruption legal regime in the country.

Investigations reveal during this study that Nigerian National Petroleum Corporation (NNPC) operations are characterised with poor record-keeping, lack of accountability as well as secrecy in the award of oil contracts, oil licence, leases and other financial transactions due to non-disclosure or confidentiality clauses contained in most of these contracts. Also, an arbitration proceeding limit access to their records and some of these agreements under contentions. This has also limited the success of this research work and generalising its findings.

This study recommends, among other reforms, soft law technique and stringent execution of anti-corruption statutes. This study also recommends increment in financial appropriation to Nigeria’s anti-corruption institutions, taking into consideration the finding that a meagre budget is a drawback.

This study reveals that corruption strives on feeble implementation of anti-corruption legal regime and the absence of political will in offering efficient regulatory intervention. Corruption flourishes due to poor enforcement of anti-corruption laws and the absence of political will in offering efficient regulatory intervention by the government.

The study advocates the need for enhancement of anti-corruption agencies' budgets taking into consideration the finding that meagres budgets are challenge of the agencies.

The purpose of this paper is to propose a new framework for assessing the risks of turnaround projects in upstream oil process plants.

This study represents a new hybrid framework for turnaround project risk assessment. First, according to experts’ opinions, the project risks were identified using interviews and brainstorming. The most important risks selected by experts and a hybrid multiple-attribute decision-making (MADM) method used to assess and prioritize them. The proposed MADM method uses fuzzy step-wise weight assessment ratio analysis (SWARA) and fuzzy evaluation based on distance from average solution (EDAS) methods based on trapezoidal fuzzy numbers.

In this research, 28 usual risks of turnaround projects are identified and 10 risks are then selected as the most important ones. The findings show, that among the risks of upstream oil industry turnaround projects from the perspective of experts, the risk of timely financing by the employer, with an appraisal score of 0.83, has the highest rank among the risks and the risk of machine and equipment failure during operation, with an appraisal score of 0.04, has the lowest rank.

The risk analysis based on inputs collected from the experts in the Iranian upstream oil industry, and so the generalization of the results is limited to the context of developing countries, especially oil producer ones. However, the proposed risk analysis methodology and key insights developed can be useful for researchers and practitioners in any other process industry everywhere.

A novel framework for risk assessment is introduced for turnaround projects in the oil industry using MADM methods. There is no literature on using MADM methods for turnaround project risk analysis in the oil and gas industries. Furthermore, this paper presents a hybrid fuzzy method based on SWARA and EDAS.

Transnational corporation (TNC)-led oil investments have been widely encouraged as a mechanism for the development of the Global South. Even though the sector is characterized by major accidents, oil-based developmentalist narratives claim that such accidents are merely isolated incidents that can be administratively addressed, redressed behaviorally through education of certain individuals, or corrected through individually targeted post-event legislation. Adapting Harvey Molotch’s (1970) political economy methodology of “accident research”, this paper argues that such “accidents” are, in fact, routine in the entire value chain of the oil system dominated by, among others, military-backed TNCs which increasingly collaborate with national and local oil companies similarly wedded to the ideology of growth. Based on this analysis, existing policy focus on improving technology, instituting and enforcing more environmental regulations, and the pursuit of economic nationalism in the form of withdrawing from globalization are ineffective. In such a red-hot system, built on rapidly spinning wheels of accumulation, the pursuit of slow growth characterized by breaking the chains of monopoly and oligopoly, putting commonly generated rent to common uses, and freeing labor from regulations that rob it of its produce has more potency to address the enigma of petroleum accidents in the global south.

Innovation and technology development policy-making naturally encounters numerous uncertainties and complexities, especially in developing countries, for the sake of the prevailing prospect of decision makers focusing on hard evidences, and neglecting key and effective social ones; in this research, a context-based method by means of Q-methodology was designed to facilitate policy-making for complex systems by bridging between policy and practices (latent in viewpoints) through providing context-based evidences.

Due to the nature of knowledge-based systems, the performance of Innovation and Technology Development (ITD) systems is highly dependent on the standpoints of key players/stakeholders of the system. In consideration of Iran’s economy characteristics, Upstream Oil and Gas (UOG) Industry, which is one of the complex Large Technical Systems (LTS), was selected as a case study. Regarding the features of LTSs, the designed model was completed by adding hierarchical clustering method, as well as using the framework of innovation and technology learning transition model to analyze the results.

The results showed the capability of the model in providing credible evidences to inform policy-making processes.

This study is one of the first real experiences which used Q-method for providing evidence-based policy-making model in a complex Large Technical System, namely, Upstream Oil and Gas (UOG) Industry.

The purpose of this study is to define and develop a new technological development path for latecomer firms in developing countries.

An analytical framework for development based on the technological capability (TC) dimensions is developed and examined in the drilling sector. Since the process of TC accumulation is dynamic, the case study approach is the best method for an exploratory theory-building study. Through a comparative case study of two Iranian drilling contractors, a new path for the technological development of latecomer oil service companies is proposed.

The study of two cases indicates that despite having similar scope and levels of TC, one of them demonstrated superior technical performance. To address this difference, the concept of operational efficiency is introduced which is considered the outcome of increasing the depth of TC.

Although upgrading the level of technological and innovation capability is an important path for technological development, latecomers that suffer from various disadvantages can perform their routine activities with superior performance and develop through their basic operational/production capabilities. Also, specialized indicators designed for assessing the level and depth of TC in the drilling industry have important insights for evaluating the technological and competitive position of oil service companies.

To the best of the author’s knowledge, this study takes the first step in defining and elaborating on the concept of depth of TC as a development path for latecomers. It also introduced a novel approach to the global operational/production efficiency frontier as a target for their catch-up.

This paper aims to deal with a real-life strategic conflict in joint operations (JOs) for facility location decision and planning in an oil and gas field that stretches over two countries and tries to develop a basis for mitigating such conflict.

This paper develops a novel approach using integer linear programming (ILP) to determine optimal facility location considering technical, economic and environmental factors. Strategic decision-making in JOs is also influenced by business priorities of individual partner, sociopolitical issues and other covert factors. The cost-related quantitative factors are normalized using inverse normalization function as these are to be minimized, and qualitative factors that are multi-decision-making criteria are maximized, thus transforming both qualitative and quantitative factors as a single objective of maximization in ILP model.

The model identifies the most suitable facility location based on a wide range of factors that would provide maximum benefit in the long term, which will help decision-makers and managers.

The model can be expanded incorporating other quantitative and qualitative factors such as tax incentives by the government, local bodies and government regulations.

The applicability of the model is not limited to JOs or oil/gas field, but is applicable to a wide range of sectors.

The model is transparent and based on rational and scientific basis, which would help in building consensus among the dissenting parties and aid in mitigating strategic conflict. Such type of model for mitigating strategic conflict has not been reported/used before.

This paper aims to provide an insight into the main parameters that govern corrosion mechanisms in production tubing of oil and gas wells.

Corrosion has been an old concern for the oil industry. None of the three major sectors of the oil industry, namely, upstream, midstream and downstream, are immune of corrosion attacks. However, the upstream sector (oil and gas production facilities) is more vulnerable to corrosion because of its extreme conditions such as high temperature and pressure, multiphase flow, complicated water chemistry, presence of acidic gases, etc. This paper is a general review of the influence of such parameters on corrosion mechanisms of oil and gas wells.

In recent years, many technical papers have been published in this area. However, none of them provide a general review of the all contributing parameters on corrosion under field conditions.

Modeling and corrosion mitigating processes under downhole conditions require a thorough understanding of the influencing parameters. This paper aims to provide an insight into the main parameters that govern corrosion mechanisms in production tubing of oil and gas wells.

This paper seeks to explore the factors behind the slow growth of economies with abundant oil and gas resources, despite the opportunities these resources potentially represent.

The building blocks of standard economic growth models and the implication of natural resource utilisation is the methodological and analytical approach adopted. A qualitative analysis of the impact of oil and gas activities on the growth of the Nigerian economy is carried out using relevant macroeconomic indicators.

The oil and gas sector is imbued with enormous linkage potentials that can stimulate other sectors to generate endogenous growth. Emphasis on the extraction and export of oil and gas subverts technological progress, stifles the revenue earning potential of the economy and stultifies the effectiveness of factors of production, thereby retarding economic growth.

Data on technological input into oil and gas activities could not be obtained, but the changing pattern of productive capacity, especially in the downstream sub‐sector, is used as a measure of technological change.

Oil‐ and gas‐abundant economies can exploit potential comparative advantage by creating favourable conditions in value‐adding oil and gas activities. Through spill‐over effects a wide range of economic activities evolves, with concomitant market expansions. Positive externalities for learning‐by‐doing arising from this process can lead to endogenous technological progress to drive sustainable economic growth.

The findings show that rather than reliance on foreign exchange revenues from oil and gas, creating the appropriate conditions for the effective domestic utilisation of oil and gas resources to bolster inter‐sectoral linkages is a more virile strategy for oil‐and‐gas driven economic growth.

Business performance management describes the processes, methodologies, metrics and systems needed to measure and manage the performance of an enterprise. Traditional performance management systems were based on financial and productivity measures but the alternate measures proposed in last more 25 years have strategic focus and incorporate variety of performance measures such as efficiency, effectiveness, productivity, quality, customer satisfaction, innovation and employee satisfaction in addition to financial. Globalization and modernization have created a business environment uncertain with associated risks which has necessitated the incorporation of various types of flexibilities such as strategic, technical, operational, information system (IS), etc. Critical success factors and implementation issues also need to be incorporated to succeed. The purpose of this paper is to present the strategic performance management system (SPMS) designed, incorporating flexibility and implementation issues, and its effectiveness empirically validated from Indian oil industry.

Based on literature review and gaps identified, a proposed model of enterprise performance management system incorporating flexibility, critical success factors and implementation issues was developed. Macro- and micro-level factors impacting the effectiveness of the model were identified, and hypotheses were developed and tested empirically from the survey study of Indian oil industry.

The finding met, by and large, most of the research objectives. In total, 7 macro- and 11 micro-level factors came out from the study. The strategy planning, strategy implementation, strategic flexibility (SF), SPMS design, information system flexibility (IF) flexibility, implementation issues and critical success factors, and performance feedback and learning are the macro-level factors impacting the SPMS effectiveness in measuring and managing performance of an enterprise. The SPMS implementation issues have proved to be major driver of effectiveness.

The research like many such researches had limited resources, data availability and bias of respondents. However, the model was statistically validated for its reliability and hypothesis testing. The research has added to literature on SPMS as integrated model incorporated SF, information flexibility and critical success factors. However, the effect of other types of flexibilities such as organizational, operational, HR, marketing, etc., and other stakeholders should also be studied in future research to broaden the findings.

The validated SPMS has practical implications for academics and researchers. Strategic and IF, and critical success factors have been incorporated in the integrated model to take care of business uncertainties so that it is strategically aligned and facilitate in effective SPMS use and implementation.

Though it has no direct social implication but, if adopted for social projects and not-for-profit organizations, it will have social benefits of efficient and effectiveness delivery of social projects and initiatives.

This is an original work carried out by the authors. The validated model along with interpretation is presented.