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The Eastern Mediterranean countries exhibit diversity in religion, culture, politics, and economy, amid rapid and dynamic regional developments shaped by global polarization and the international security landscape, rendering future prognostications challenging. This chapter delves into the realms of oil and natural gas production, the influx of multinational corporations, water boundaries, and renewable energy vis-à-vis fossil fuels in the Eastern Mediterranean, elucidating the realities of cooperation and competition within the region. Analysis of cooperation and competition dynamics is imperative for comprehending the tensions among states. Enhanced cooperation between states may lead to mutual benefits, such as increased oil and gas prices favoring their partnership, while any escalation in competition can swiftly be perceived as a threat, exacerbating tensions. The desirability of such cooperation or competition in the international political economy remains subject to ongoing debate.

The Kurdistan Region of Iraq (KRI) stands as a significant player in the hydrocarbon landscape of the Middle East, necessitating an in-depth analysis of its role in the exportation process to Turkey and Mediterranean ports, thereby fostering economic and political ties and projecting toward the future. Situated as a semi-autonomous entity in northern Iraq, the Kurdistan Region boasts abundant natural gas resources, attracting interest from Russian firms and Turkish stakeholders. However, Iran’s influence in Iraq and the wider region poses a regional threat to the Kurdistan Region’s natural resources. This chapter meticulously examines the oil and gas blocks within the Kurdistan Region amidst the backdrop of transformative global energy market shifts, including the impacts of the COVID-19 pandemic and the Russian–Ukrainian conflict. Through this lens, it seeks to delineate the Kurdistan Region’s political and economic positioning within the evolving regional order.

The aim of this study was to evaluate the performance of fuel flow processes in a network of eight gas stations, located in the mesoregion of Alto Paranaíba and Triângulo Mineiro.

Two multi-criteria decision support methods were applied, respectively, of a statistical and mathematical nature, namely, Principal Component Analysis (PCA) and Data Envelopment Analysis (DEA). The research method used was quantitative, with a brief complement of qualitative research, and descriptive in purpose, supported by the inductive method. The data collection stage took place with the support of interviews, with the application of a structured questionnaire, and non-probabilistic sampling, for convenience.

It was possible to verify that the gas station that stood out the most was station 2 (GS2), which achieved maximum efficiency, a fact that can be justified by the analysis resulting from the application of PCA, as for the product purchase variable (PP), the GS2 is the one that buys the most fuel, and is also the one with the largest storage capacity (C), and the highest volume of product sales (PS), which suggests signs of balance between supply and demand for this station, justifying its prominence.

The limitations of the study were related to the DEA technique, which requires a number of variables/indicators three times smaller than the number of DMUs considered, and the difficulty in obtaining financial data on the DMUs analyzed. Considering the security and anonymity of the gas station network, it was not possible to use this data.

The performance assessment of fuel flow processes carried out in this study promotes the efficient use of available resources as well as identifying efficient DMUs that represent benchmarks for improving management processes and performance of inefficient DMUs.

From a social perspective, this study promotes the improvement of the quality of flow processes and effective management of the fuel supply chain, ensuring the safe storage and transportation of fuels to customer supply. Performance management in this sector moves other sectors of the economy, since an efficient unit represents a balance between supply and demand, and consequently, boosts the regional economy, promoting economic growth of the population. Hiring qualified labor for this purpose also represents one of the implications of the study. From an environmental perspective, optimizing flow processes generates a reduction in greenhouse gas emissions and encourages the formulation of public policies aimed at consolidating sustainable practices.

Performance management applied to the context of the fuel supply chain is a relevant topic that has been little explored in scientific research, with a low level of information detail. This study using the inductive method allows the generalization and replication of this management pattern in other organizations in the sector in order to increase the efficiency of the fuel distribution system, with the perspective of maximizing outputs and reducing input consumption. In this aspect, the study introduces possibilities for advancement in social and environmental perspectives based on the effective management of fuel logistics.

Gillette’s historically successful “razor and blade” business model (RBM) has been a promising benchmark for multiple businesses across diverse industries worldwide in the past several decades. The extant literature deals with very few nuances of this business model notwithstanding the fact that there are several variants of this business model being put to practical use by firms in diverse industries in grossly metaphorically equivalent situations.

This study adopts the 2 × 2 truth table framework from the domains of mathematical logic and combinatorics in fleshing out all possible (four logical possibilities) variants of the razor and blade business model for further analysis. This application presents four mutually exclusive yet collectively exhaustive possibilities on any chosen dimension. Two major dimensions (viz., provision of subsidy and intra- or extra-firm involvement in the making of razors or blades or both) form part of the discussion in this paper. In addition, this study synthesizes and streamlines entrepreneurial wisdom from multiple intra-industry and inter-industry benchmarks in terms of real-time firms explicitly or implicitly adopting several variants of the RBM that suit their unique context and idiosyncratic trajectory of evolution in situations that are grossly reflective of the metaphorically equivalent scenario of razor and recurrent blades. Inductive method of research is carried out with real-time cases from diverse industries with a pivotally common pattern of razor and blade model in some form or the other.

Several new variants of the razor and blade model (much beyond what the extant literature explicitly projects) have been discovered from the multiple metaphorically equivalent cases of RBM across industries. All of these expand the portfolio of options that relevant entrepreneurial firms can explore and exploit the best possible option chosen from them, given their unique context and idiosyncratic trajectory of growth.

This study has enriched the literature by presenting and analyzing a more inclusive or perhaps comprehensive palette of explicit choices in the form of several variants of the RBM for the relevant entrepreneurial firms to choose from. Future research can undertake the task of comparing these variants of RBM with those of upcoming servitization business models such as guaranteed availability, subscription and performance-based contracting and exploring the prospects of diverse combinations.

Smart entrepreneurial firms identify and adopt inspiring benchmarks (like razor and blade model whenever appropriate) duly tweaked and blended into a gestalt benchmark for optimal profits and attractive market shares. They target diverse market segments for tied-goods with different variants or combinations of the relevant benchmarks in the form of variegated customer value propositions (CVPs) that have unique and enticing appeal to the respective market segments.

Value-sensitive customers on the rise globally choose the option that best suits them from among multiple alternatives offered by competing firms in the market. As long as the ratio of utility to price of such an offer is among the highest, even a no-frills CVP may be most appealing to one market segment while a plush CVP may be tempting to yet another market segment simultaneously. While professional business firms embrace resource leverage practices consciously, amateur customers do so subconsciously. Each party subliminally desires to have the maximum bang-to-buck ratio as the optimal return on investment, given their priorities ceteris paribus.

Prior studies on the RBM have explicitly captured only a few variants of the razor and blade model. This study is perhaps the first of its kind that ferrets out many other variants (more than ten) of the razor and blade model with due simplification and exemplification, justification and demystification.

This study investigates clean energy, commodities, green bonds and environmental, social and governance (ESG) index prices forecasting and assesses the predictive performance of various factors on these asset prices, used for the development of a robust forecasting support decision model using machine learning (ML) techniques. More specifically, we explore the impact of the financial stress on forecasting price.

We utilize feature selection techniques to evaluate the predictive efficacy of various factors on asset prices. Moreover, we have developed a forecasting model for these asset prices by assessing the accuracy of two ML models: specifically, the deep learning long short-term memory (LSTM) neural networks and the extreme gradient boosting (XGBoost) model. To check the robustness of the study results, the authors referred to bootstrap linear regression as an alternative traditional method for forecasting green asset prices.

The results highlight the significance of financial stress in enhancing price forecast accuracy, with the financial stress index (FSI) and panic index (PI) emerging as primary determinants. In terms of the forecasting model's accuracy, our analysis reveals that the LSTM outperformed the XGBoost model, establishing itself as the most efficient algorithm among the two tested.

This research enhances comprehension, which is valuable for both investors and policymakers seeking improved price forecasting through the utilization of a predictive model.

To the authors' best knowledge, this marks the inaugural attempt to construct a multivariate forecasting model. Indeed, the development of a robust forecasting model utilizing ML techniques provides practical value as a decision support tool for shaping investment strategies.

This study assesses postreplanting oil palm farming risks, analyzes seed procurement parameters, investigates seed institutions' performance factors and develops a framework for improved sustainability.

Incorporating data from 219 smallholder farmers in designated replanting areas, our study comprehensively evaluates seed supply performance, examining the roles of stakeholders and identifying potential risks in seed management. We assess these risks using the Risk Priority Number (RPN) methodology and Multidimensional Scaling (MDS) techniques.

The results show that the timing and quantity of oil palm seed supply have a relatively small impact on postreplanting failure risk. To mitigate this risk, focus on monitoring seed purity using high-quality Tenera oil palm-type seeds and early detection technology. Encourage seed-producing cooperatives to become legal seed producers for an inclusive system and consider smallholders' variety preferences.

This study’s significance lies in its comprehensive assessment of the risks associated with oil palm replanting on smallholder plantations, detailed analysis of critical parameters in seed procurement, investigation into the performance of palm oil seed institutions across various dimensions and development of a strategic framework to strengthen inclusive seed institutions for sustainable oil palm farming. This strategy holds valuable potential for the development of oil palm in Indonesia, particularly in expediting the smallholders' replanting program.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2023-0811

The geopolitical significance of the Mediterranean Sea transcends regional security and energy supply, profoundly impacting global security dynamics. Daily headlines underscore the plight of migrants from the Middle East and North Africa crossing the Mediterranean, exacerbating humanitarian crises and European identity challenges. Environmental concerns are further heightened by the abundance of global ports facilitating oil and goods transportation, alongside the staggering number of tourists flocking to the Mediterranean coast annually. This chapter serves as a gateway to the book, exploring the concept of “geopolitics” and delineating its characteristics. It specifically delves into the political economy of the Eastern Mediterranean and the geopolitical obstacles to energy security in the region. The chapter strategically selects four primary issues to dissect the region’s conflict complexity: the Syrian crisis, the Israeli–Palestinian conflict, the unresolved Cyprus dispute, and the Lebanon–Israel conflict over water border demarcation.

Despite the growing interest in blockchain technology (BCT) applications in the agri-food industry, evidence of their economic and strategic implications remains scarce. This study aims to contribute to filling this gap by jointly investigating how BCT adoption affects transactional relationships, and how it contributes to the firm’s strategic resources.

An explanatory case study is conducted based on a theoretical framework grounded on transaction cost economics and the resource-based-dynamic capabilities view. Six BCT implementations by agri-food firms are studied. Data were collected through semi-structured interviews and analysed using thematic analysis.

Findings reveal that BCT benefits depend on how companies integrate technology across their supply chains. In fact, the results suggest that overall transaction efficiency within the supply chain is enhanced only for those firms prioritising stakeholder engagement during technology implementation and leveraging existing trust relationships with economic agents. Moreover, the results suggest that BCT is not yet perceived as a strategic resource, but rather that it has the potential to enhance firms’ operational-adaptive, absorptive and innovative capabilities. When all supply chain actors clearly understand blockchain’s functionality and value, the development of these capabilities becomes more pronounced.

The study identifies two BCT adoption configurations. One primarily focuses on enhancing supply chain efficiency and transparency (dynamic BCT), while the other uses BCT mainly for marketing purposes (static BCT). These configurations lead to varied possibilities for leveraging BCT’s potential advantages. Furthermore, they show how a mismatch between a strategic approach and its chosen configuration could work against any positive impact and lead to disillusionment with the BCT. Thus, managers should assess carefully the impact of such different configuration choices on performance.

To the best of the authors’ knowledge, this is the first study to attempt to analyse the economic implications of adopting BCT in the food sector from both a firm and supply chain perspective. Additionally, it shows how interpreting these impacts is contingent on the diverse modalities for embedding BCT into existing supply chains.

The Eastern Mediterranean’s energy reserves have ushered in a new era of economic, military, and political dynamics, both locally and globally. While the trade in natural gas has reshaped the region’s economic landscape, it has also sparked heightened tensions and security concerns. Positioned at the crossroads of Europe, Asia Minor, and Africa, the Eastern Mediterranean now serves as a nexus for political, military, and economic interests. This chapter explores how the region’s eastern and southern shores have historically been a battleground for competing political ideologies, economic systems, and military arsenals, notably those of the United States and the Soviet Union. It delves into the complexities of foreign intervention by nations and organizations, with a particular focus on the roles of the United States, Russia, and NATO’s Mediterranean Initiative. Additionally, the chapter evaluates the theoretical frameworks of international relations, including neorealism, neoliberal institutionalism, and regional security complex theories, to elucidate the dynamics of hydrocarbon competitions in the Eastern Mediterranean and their implications for energy security.

This paper aims to explore the biodiversity and threatened species extinction reporting of 54 biodiversity-indexed companies on the Indonesia Stock Exchange (IDX). The primary objectives are to explore the rhetoric of biodiversity disclosure as a practice of virtue ethics and to identify instances of emancipatory extinction accounts on the International Union for Conservation of Nature (IUCN) Red List.

The research sample comprised 54 biodiversity-indexed companies on the IDX. A content analysis of the narrative text of their annual and sustainability reports for 2020 was conducted to discern the rhetoric of biodiversity disclosure as an ethical practice using Aristotle’s rhetoric (ethos, logos and pathos). The identification of extinction accounts listed on the IUCN Red List was conducted based on criteria established in the conceptual framework of Atkins and Maroun (2018).

All 54 companies used ethos, logos and pathos in their biodiversity disclosure as a virtuous practice. These disclosures improve the tone of corporate communications and enhance accountability and transparency. Low-profile companies showed a greater propensity for reporting biodiversity disclosures compared to high-profile companies. Additionally, the authors identified 14 companies informing extinction accounts that qualify as emancipatory accounts, with high-profile companies disclosing extinction more frequently than low-profile ones. Emancipatory accounting highlighted species such as turtles, orangutans, elephants, rhinos, turtles and medicinal plants. These accounts are intended as a form of accountability to the species.

The limitation of this research is the observation of annual reports in one period. Future studies can add more observation periods to see the consistency of companies in disclosing biodiversity and extinction.

Companies can adopt the rhetorical strategy of ethos, logos and pathos in disclosing their biodiversity. For policymakers, it is important to establish regulations to encourage companies to disclose biodiversity. The implications for accountants, to contribute more to biodiversity and extinction reporting, considering that previously sustainability accounting reporting was mostly carried out by nonaccountants.

Regarding social implications, emancipatory accounts aimed at preventing the extinction of animals such as birds, orangutans and rhinos will have significant social and natural impacts.

This research represents the first use of Aristotelian rhetoric and virtue to understand biodiversity disclosure as virtue rhetoric and extinction disclosure as emancipatory accounting. This rhetoric is a benevolent persuasion tool that can shape the audience’s thinking and behavior in a more ethical manner concerning biodiversity issues. It provides evidence of the role of accounting as a social and moral practice, which is particularly relevant in the face of a complex reality and increasing concerns, notably regarding the threat of biodiversity loss and extinction.