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The purpose of this study is to examine how green innovation awareness is integrated into corporate social responsibility (CSR) practices and what regulatory role environmental ethics plays in this process. This study evaluates how green innovation shapes the environmental, social and economic responsibilities of businesses and its impact on achieving sustainable development goals.

The population of this study consists of four field operation centers of a nuclear power plant operating in the Mediterranean Region of Turkey. The sample consists of 397 employees in the field operation center using simple random sampling method.

The findings of this study revealed positive and significant relationships between the variables. According to the results obtained from both models, green innovation awareness and environmental ethics variables have a positive and significant effect on CSR, but environmental ethics does not have a moderating role in the effect of green innovation awareness on CSR.

This study is important in that it will help to clarify the gray areas in the literature by developing recommendations for practitioners, researchers and professionals in line with the research results. In addition, the fact that the research was conducted in the field studies of a nuclear power plant, which is one of the best places to address the issues of green innovation, CSR and environmental ethics, increases its importance.

This study aims to fabricate IN718 parts through laser-powder bed fusion (L-PBF) at varied scanning speeds. In the as built condition, studies on location-specific microstructure evolution followed by characterization of mechanical properties such as tensile properties (ultimate tensile strength and % elongation) and microhardness are carried out. The obtained mechanical properties are correlated with part porosity/relative density. The as built specimens are then post-heat treated (homogenization treatment followed by double-stage aging). The microstructure and microhardness of the as built specimens are compared to that of the post-heat treated as well as conventional wrought counterparts.

Required numbers of tensile coupons (flat orientation; 0° w.r.t. the build platform) are fabricated through L-PBF at two different scanning velocities (s = 700 mm/s and s = 1,000 mm/s) keeping constant laser power, layer thickness, hatch distance and scan pattern. Tensile properties are determined through uniaxial tensile testing while microstructural features are observed through optical microscopy, scanning electron microscopy and field emission scanning electron microscopy. Hardness measurements are carried out at Vickers micro-indentation hardness tester. The post-heat treatment schedule is designed with homogenization treatment (1186°C, 40 min + air quenching) followed by double-stage aging – 1st stage aging (720°C, 8 h + furnace cool) and 2nd stage aging (625°C, 8 h + air quenching).

It is experienced that scan speed exhibits a direct relationship with part porosity and an inverse relationship with part tensile strength. With increase in scan speed, microhardness declines due to increased part porosity. The as built microstructure is decorated with very fine columnar/cellular dendrites. Along the building plane, majority of the grains exhibit directional solidification and hence columnar dendrites are mostly aligned along the building direction. On the other hand, microstructure consists of mostly Equiaxed cells when viewed on a plane perpendicular to the build direction. The fine dendritic features of the as built microstructure disappear after post-heat treatment. The post-heat-treated microstructure is found to be almost similar to the wrought alloy. The post-heat treated specimens exhibit higher microhardness than the as built IN718 due to precipitation strengthening taking place during aging treatments.

L-PBF is an efficient additive manufacturing route appropriate to fabricate small-to-medium sized parts with extreme degree of design complicacy. IN718 is a widely used aerospace superalloy known as “difficult-to-machine.” When compared to conventional machining, additive fabrication of IN718 is beneficial and it improves buy-to-fly ratio. However, the L-PBF process is greatly influenced by a huge parametric set which is different to control. Moreover, the process experiences heat accumulation effect and exhibits directional dependency on microstructure as well as mechanical properties. The post-heat treatment is thus attempted to homogenize the as built microstructure and to ensure isotropic properties. Hence, precise control of L-PBF parameters and determining an optimal heat treatment schedule are indeed required. The present research provides an insight to aforesaid issues. The outcome of the work is helpful for academic practitioners and it has strong industrial relevance.

This paper aims to present the findings of an audit conducted to assess the knowledge, confidence and training needs of community nurses in the mid-west region of Ireland concerning adult safeguarding practices. Safeguarding adults in community settings requires a thorough understanding of various abuse types, alongside national policy, procedures and guidelines for recognising, responding and reporting abuse.

In this audit, a nine-item questionnaire assessed community nurses’ familiarity with abuse categories, perceived barriers and confidence to reporting, and current safeguarding training provisions. Findings revealed apparent gaps in knowledge, with no respondents identifying familiarity with all forms of abuse.

Confidence in reporting abuse varied significantly, with barriers such as fear of repercussions and uncertainty about reporting outcomes cited.

Results suggest community nurses would benefit from enhanced education on abuse identification and reporting pathways, along with additional support from management to foster a supportive reporting safeguarding culture. The audit highlights key areas where targeted improvements could strengthen safeguarding practices in the community. Strengthening these areas is essential to promote patient safety and ensure compliance with national safeguarding standards in community healthcare.

This audit offers an unique insight into community nurses’ roles in safeguarding adults at risk of abuse, highlighting challenges and gaps within their practice.

This study examines why long-term relationships between expert users and smart voice assistants (SVAs) develop. It postulates that the five dimensions of experience (i.e. sensory, affective, intellectual, behavioural and relational) generate feelings of love for SVAs. The formation of love is examined considering three components: passion, intimacy and commitment. These feelings encourage users to continue employing and to generate long-term relationships with SVAs.

Data from a survey of 403 USA expert users of SVAs provide the input for structural equation modelling.

The results show that three dimensions of experience influence users’ passion towards SVAs: affective, intellectual and behavioural. Moreover, passion can convert the effect of users’ experiences into intimacy and commitment. Finally, intimacy and commitment increase users’ intentions to continue using SVAs.

The findings obtained make three original contributions. First, this study is the first to analyse expert users of SVAs and the post-technology adoption stage. Therefore, it introduces a new case of relational marketing in smart technologies. Second, this study contributes by applying a new theoretical perspective that evaluates the importance of users’ experiences with SVAs. Third, it takes an interpersonal approach to explore user-SVA interactions, revealing that users can develop human-like love feelings for SVAs.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0570

Team-based work is increasing within organizations nowadays. Despite calls for differentiation between individual and team levels of analysis, research on leadership effects at multiple levels is still limited. By integrating the Conservation of Resources and Social Cognitive theories, this paper aims to analyze the relationships between coaching leadership, team collective efficacy and individual exhaustion via multilevel modeling.

This paper opted for an exploratory study testing a 2-2-1 multilevel mediational model, positing team collective efficacy as a key factor in mediating the relationship between coaching leadership at the team level and exhaustion at the individual level. The hypotheses were tested on a sample of 311 employees, nested in 72 teams (Msize = 5.70, SDsize = 2.82 team members) of a large Italian company that provides financial services.

Results supported the positive association between coaching leadership and team collective efficacy, which, in turn, was negatively associated with team members’ average score in exhaustion and fully mediated the effect of coaching leadership on exhaustion, even controlling for team design features (i.e. task interdependence and team virtuality). The association between coaching leadership and exhaustion was only indirect, explained by team collective efficacy.

Because of the self-report nature of the measures and the cross-sectional nature of the data, this research results might raise problems of variance in common methods and not allow causal conclusions to be drawn. Therefore, researchers are encouraged to test the proposed propositions further.

This paper includes several practical implications for enhancing group efficacy beliefs, which have an impact on individual well-being within the team.

This paper addresses the lack of empirical findings on the multilevel nature of the relationship between coaching-based leadership, collective team effectiveness and individual exhaustion.

Digital political advertising has been essentially unregulated for a long time. More recently, a number of notable scandals, such as the Facebook–Cambridge Analytica affair and the external meddling in Brexit and the 2016 US elections, have compelled the European Union to take regulatory action. After discussing the growing role of political advertising for political parties and candidates and the major challenges this implies in terms of electoral integrity, this chapter explores the genesis, significance as well as the limitations of the Transparency and Targeting of Political Advertising (TTPA) Regulation. Introduced in 2024, the TTPA establishes a common regulatory framework across EU Member States ensuring minimum transparency requirements that digital platforms must comply with, including disclosure about the origins, parameters and funders of political advertisements directed to European citizens. While emphasising the important step forward of this Regulation for the countering of information manipulation and foreign interference in elections and the relevant shift in the EU relationships with platform services, we point to a number of problems that remain unaddressed, including the manipulative and deceptive use of political content, hate speech, misinformation and political polarisation.

This paper aims to identify future scenarios and convergent technologies regarding the plantain chain in the region of Quindío, Colombia. It proposes the definition of key variables, convergent technologies, future objectives, future scenarios and hypotheses based on stakeholders’ and experts’ opinions collected through questionnaires, surveys and workshops.

The present analysis seeks to identify and anticipate the future routes for the improvement of scientific, technological, innovative and skills management of the plantain agroindustrial chain in the region of Quindío, Colombia using the foresight-by-scenarios and, Delphi methodologies and finally validating the results with artificial intelligence code and natural language processing.

After the analysis of 100 initial variables, the results suggested the identification of five key variables defined by the stakeholders and matrix-based multiplication applied to a classification (MICMAC) analysis such as “weather,” “financing and economy,” “grouping and associativity,” “crop” and “territorial planning and raw material.” Moreover, the definition of four future objectives along with the matrix of alliances and conflicts, tactics, objectives and recommendations (MACTOR) analysis suggested scenarios according to the probability. The most possible, probable and desirable scenario, was the cooccurrence of the five proposed hypotheses. Furthermore, the Delphi analysis allowed us to define nine subgroups from 116 subtopics including: “plantain varieties,” “plantain agroindustry,” “waste use” and “crop,” among others.

Due to the specificity of the analyzed agro-chain, the study only encompasses the plantain and banana sectors. However, the implications are related to the generation of projects in the selected technologies.

This paper includes implications for the development of prospective studies combining two or more different methodologies such as foresight-by-scenarios and Delphi method at the same time and further comparing the results with artificial intelligence analysis.

The generation of public policies in the sector and input for governmental analysis and tools for decision-making with a well-grounded, systematic and rational point of view.

This work describes for the first time, the implementation of the Delphi method regarding an important agroindustry sector such as plantain and banana prospective study. Furthermore, it explains the alignment of two methodologies; foresight-by-scenarios and the Delphi method related to the sectorial approaches, and convergent technologies and innovations, respectively. Moreover, a complementary bibliometric analysis with global terms related to the plantain or banana agroindustry was also included. In a novel way, we also applied an artificial intelligence code using Python software to contrast the results previously obtained in the foresight-by-scenarios method.

Miller (2011) revisited his influential 1983 work on entrepreneurial orientation (EO) and remarked that its underlying drivers are fully open to debate, fresh scholarship and connection with new theories. Indeed, the genealogy of the EO construct is rarely questioned. We take a “making masculinity visible” approach, engaging with a lens of masculinity, precarious manhood theory (PMT) and double standards of competency, to define and test the masculine elements of EO in the setting of family business CEOs.

Using the 2019 Successful Transgenerational Entrepreneurship Project (STEP) dataset, a comprehensive database of family business chief executive officers (CEOs), we examined the construct of EO, in whole and in its masculine elements. Stepwise multiple regression method was used to test the hypotheses of this study. Control variables entered the equation first, followed by the variable of interest for this study.

We find differences by gender when EO is tested as a whole construct. Further in testing its masculine dimensions, we find that being male is significant to the elements of autonomy and competitive aggressiveness and that gender is not significant to risk-taking.

Although research on the widespread and influential EO continues to proliferate (Covin and Wales, 2019), there is not an understanding of its applicability across genders (Fellnhofer et al., 2016). It is possible that EO may not explain how women do business. Our study contributes to the understanding of between-gender differences in EO, and our findings suggest that the masculine elements of EO vary by gender.

This chapter looks at a number of diverse elements that led to the rise of the digital banking industry. In this age of rapid digitisation, today's bank transactions and activities are mostly done on mobile phones or other smart devices instead of going back and forth between a traditional branch lobby. With more and more customers seeking banking services accessible around the clock from the palm of their hand, based on the numerous experiential data digital platforms have accumulated for many years in the field and other places, traditional financial institutions will have no way but to break open their thinking about how to deliver those services to think. Governments and their regulators are beginning to see the potential risks posed by the new digital banking technology and want consumer protection, competition put under even stricter conditions for players as well and system stability all guaranteed. Above all, it is evidence of something people cannot ignore: the sharp upward trend of cybersecurity risk in recent years. The advent of digitalisation eliminated any excuse for storing sensitive financial data without the most modern cyber defences. Then, at a further level, financial tech start-ups come up like crocuses in spring while Bigtech companies all over the globe are jumping into banking. Both cooperation opportunities and competitive challenges await traditional banks. However, bank customers' changing demographics (millennials and GenZ) are the most vivid examples as they age, together with global universal financial inclusion trends, bringing about social and economic challenges.