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This study aims to proposed that blockchain helps the organization improve supply chain (SC) performance by improving integration, agility and security through real-time information sharing, end-to-end visibility, transparency, data management, immutability, irrevocable information and cyber-security platforms.

This study has made an initial effort toward proposing a framework that shows the problems and challenges for the O&G SC under its segments (upstream, midstream and downstream) and provides the interlink among blockchain properties for SCM problems. SC managers were selected for survey questionnaires from the Pakistan O&G industries.

This study analyzes the impact of blockchain-enabled SC on firm performance with an understanding of the SC robustness capabilities as a mediator. The result revealed that the SC manager believes that the blockchain-enabled SC has a positive and significant on firm performance and robustness capabilities.

Blockchain technology is reflected as high-tech to support the firm process, responses and methods. The technology helps eliminate bottlenecks, avoid uncertainties and improve decision-making, leading to improved SC functions. This study guides managers about the potential problems of existing SC and how blockchain solves SC problems more effectively.

The oil and gas (O&G) sectors are neglected by researchers, and there are limited studies on O&G supply chain management (SCM). Additionally, no empirical evidence suggests implementing blockchain for O&G as a solution for potential problems. Furthermore, present the roadmap to other industries those having complex SC networks for the implication of blockchain to improve the SC performance.

The purpose of this paper is to trace the evolution of paternalism as a long-term component of a management control system (MCS) in a multi-national business enterprise.

The authors used a historical methodology involving the collection and evaluation of both primary and secondary data. Annual reports of Michelin (2009–2021) were also analysed to trace the evolution of the MCS towards corporate social responsibility (CSR).

This research traces the evolution of Michelin's Paternalistic MCS from “Traditional Paternalism” to “Welfare Paternalism”, “Managerial Paternalism” and “Libertarian Paternalism” thereby leading the way to CSR. The findings indicate that the evolution of the MCS revealed “Managerial Paternalism” as a specific type of paternalism and an important component of the “Personnel and Cultural Controls” (Merchant and Van der Stede, 2018, p. 95) at Michelin.

Many multi-national companies began as family-owned and controlled firms (e.g. Ford, Toyota, Fiat, Renault, Tata) and they often employed paternalistic MCSs during their early development (Newby, 1977; Perrot, 1979; Colli, 2003). Such MCSs have been seen as being anachronistic and are often abandoned as the family-owned enterprise grows into a multi-national company (Casson and Cox, 1993; McKinlay et al., 2010). The research challenges this assertion and demonstrates how aspects of a paternalistic MCS can survive in a multi-national business enterprise.

With respect to practical implications, this research shows that paternalism can still be a component of an MCS in a multi-national enterprise.

Using a historical approach, this research addresses a gap in the prior literature regarding the variations and persistence of paternalism in companies. In the case of Michelin, the authors investigate the evolution of its paternalistic MCS from a traditional form to an emphasis on CSR.

The case study is inspired in Interpretative Phenomenological Analysis (IPA) to make sense of a Relational Model within Artistic Creation (RMAC) developed by the author a long time in their artistic and research practices.

An Interpretative Phenomenological Analysis (IPA) is considered within a case study where the author is simultaneously researcher and participant, using old unsolicited diaries for more than a decade as raw material.

RMAC was previously presented as a tool for creating (maker) as well as a tool for research (researcher) in specific solo performance art projects, being the first time that it is approached through an Interpretative Phenomenological Analysis, bringing new insights into artistic practice and research within their intersections.

This paper brings them the use of IPA in a case study with a researcher-participant to make sense of how RMAC, a model already presented formally and developed for many years, appeared and changed the author's professional and personal life. Also, it is given a new study using diaries as material within IPA.

This study aims to investigate the optimal process parameters of the wire-cut electrical discharge machining (WCEDM) for the machining of the GZR-AA7475 hybrid metal matrix composite (HMMC). HMMCs are prepared with 2 Wt.% graphite and 4 Wt.% zirconium dioxide reinforced with aluminium alloy 7475 (GZR-AA7475) composite by using the stir casting method. The objective is to enhance the mechanical properties of the material while preserving its unique features. WCEDM with a 0.18 mm molybdenum wire electrode is used for machining the composite.

To conduct experimental studies, a Taguchi L27 orthogonal array was adopted. Input variables such as peak current (I_p), pulse-on-time (T_ON) and flushing pressure (P_F) were used. The effect of process parameters on the output responses, such as material removal rate (MRR), surface roughness rate (SRR) and wire wear ratio (WWR), were investigated. The grey relational analysis (GRA) is used to obtain the optimal combination of the process parameters. Analysis of variance (ANOVA) was also used to identify the significant process parameters affecting the output responses.

Results from the current study concluded that the optimal condition for grey relational grade is obtained at T_ON = 105 µs, I_p = 100 A and P_F = 90 kg/cm². Peak current is the most prominent parameter influencing the MRR, whereas SRR and WRR are highly influenced by flushing pressure.

Identifying the optimal process parameters in WCEDM for machining of GZR-AA7475 HMMC. ANOVA and GRA are used to obtain the optimal combination of the process parameters.

The accurate modeling of magnetic hysteresis in electrical steels is important in several electrical and electronic applications. Numerical models have long been known that can correctly reproduce some typical behaviours of these magnetic materials. Among these, the model proposed by Jiles and Atherton must certainly be mentioned. This model is intuitive and fairly easy to implement and identify with relatively few experimental data. Also, for this reason, it has been extensively studied in different formulations. The developments and numerical tests made on this hysteresis model have indicated that it is able to accurately reproduce symmetrical cycles, especially the major loop, but often it fails to reproduce non-symmetrical cycles. This paper aims to show the positive aspects and highlight the defects of the different formulations in predicting the minor loops of electrical steels excited by non-sinusoidal currents.

The different formulations are applied to different electrical steels, and the data coming from the simulations are compared with those measured experimentally. The direct and inverse Jiles–Atherton models, including the introduction of the dissipative factor approach, are presented, and their limitations are proposed and validated using the measurements of three non-grain-oriented materials. Only the measured major loop is used to identify the parameters of the Jiles–Atherton model. Furthermore, the direct and inverse Jiles–Atherton models were used to simulate the minor loops as well as the hysteresis cycles with direct component (DC) bias excitation. Finally, the simulation results are discussed and compared to measurements for each study case.

The paper indicates that both the direct and the inverse Jiles–Atherton model formulations provide a good agreement with the experimental data for the major loop representation; nevertheless, both models can not accurately predict the minor loops even when the modification approaches proposed in the literature were implemented.

The Jiles–Atherton model and its modifications are widely discussed in the literature; however, some limitations of the model and its modification in the case of the distorted current waveform are not completely highlighted. Furthermore, this paper contains an original discussion on the accuracy of the prediction of minor loops from distorted current waveforms, including DC bias.

While much research has examined the effect of media literacy in combatting misinformation, whether and to what extent news media literacy influences misinformation-related behaviors (i.e. misinformation sharing, misinformation correction) and the mediating effect of news media skepticism in the process remain less explored. Moreover, this line of research has extensively focused on a polarized information context (e.g. the USA) with less attention to a context where news information is more regulated and centralized. This paper aims to discuss the aforementioned objective.

The authors conducted a survey study of 720 Chinese adults.

This study reveals that greater new media literacy predicts higher misinformation correction behaviors, but fails to predict caution in sharing misinformation. Findings further demonstrate a nuanced mediating effect of news media skepticism that challenges previous assertions about its protective role. That is, higher news media literacy is associated with lower news media skepticism; lower skepticism is in turn related to lower misinformation sharing and greater misinformation correction.

The current study integrates news media literacy and news media skepticism in understanding misinformation-related behaviors. Findings generally speak to the tangible benefits of news media literacy in helping motivate corrective actions among the general public. However, this study also strikes a cautious note that future investigations of news media skepticism would benefit from a cultural perspective. Its connections with perceptions and effects on behaviors could vary according to different types of media and political landscapes.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0172

This paper aims to use the Social Cognitive Career Theory and a serial mediation model to explore how entrepreneurial self-confidence and attitudes mediate the connection between entrepreneurial education and entrepreneurial intention. Additionally, the study seeks to examine how gender impacts these relationships.

To test the formulated hypothesis and the serial mediation effect, a sample of 1,266 master’s students from nine universities/institutions across three primary regions of Vietnam was used. The structural equation modeling technique, with Gaskin (2019)'s plugin and a 5,000-bootstrapping sample, was applied. Also, a multi-group analysis was used to illustrate the differences between male and female students in the relationships between variables.

The research reveals that entrepreneurial education plays a contributive role in increasing entrepreneurial self-efficacy, entrepreneurial attitudes and startup intentions. Entrepreneurial self-efficacy and entrepreneurial attitudes also serve as serial mediators in the entrepreneurial education-intention relation. Moreover, this study demonstrates the significant moderation role of gender in these links.

The outcomes of the current research hold significance for educators, policymakers and practitioners, as they can use these findings to encourage individuals to engage in entrepreneurial activities and to improve the overall entrepreneurial ecosystems.

The current research sheds new light on the entrepreneurship and gender literature by using the Social Cognitive Career Theory to elucidate the serial mediating role of entrepreneurial self-efficacy and entrepreneurial attitudes in the relation between entrepreneurial education and entrepreneurial intentions.

Psychological and entrepreneurial traits have been widely studied as explicative variables of encouraging entrepreneurial behavior, while their impact on innovative activity is less explored. This study examines whether, how and why psycho-entrepreneurial traits and social networks effect innovativeness among women firm owners.

Analysis of data collected from 304 Saudi women entrepreneurs accompanied by business accelerators provides a wide support with some notable exceptions. We use Structural Equation Modeling technique to estimate how different constructs interact with each other and jointly affect directly or indirectly women's innovativeness behavior in Saudi Arabia.

Findings point out that innovativeness is positively and significantly affected by emotional intelligence, internal locus of control, entrepreneurial alertness and entrepreneurial self-efficacy. The construct of entrepreneurial self-efficacy mediates the relationship between both business and personal networks and innovativeness. However, professional forums and mentors have no significant effect on innovativeness.

The sample selection is limited to two entrepreneurial support structures especially business accelerator and business incubator. Expanding the context to other support structures can reinforce the implications and provide more valuable results.

The findings are likely to be of applicability for improving women entrepreneurship by entrepreneurial support structures.

This research is original in the sense that it investigated useful insights of innovativeness among Saudi female entrepreneurs.