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The current body of research has separately examined ethics education design and evaluation, as well as the development of ethical identity in managers. However, a notable deficiency in the literature lies in the absence of a comprehensive investigation into the interconnections between these two areas. This conceptual paper aims to address this lacuna.

Building on the theoretical foundations of identity control theory, this paper presents a conceptual model that outlines the dynamics of ethics education for managers, whether outside the organization or as a human resource development (HRD) initiative. Drawing upon a diverse range of literature sources, the model places significant emphasis on the interactive nature of identity formation, taking into account both individual agency and the educational context.

The conceptual model developed based on identity control theory illuminates the functioning of ethics education and its impact. The model illustrates the multifaceted nature of the relationship between ethics education and the development and sustenance of ethical identity in managers. It underscores the iterative process of identity control, wherein managers continuously navigate their ethical identities in response to internal and external influences.

While ethics education in management and HRD studies is widely acknowledged, there is a significant gap in understanding the psychological mechanisms that explain the maintenance of self-identity and the dynamic interplay between individuals and their social environment. This gap is particularly relevant to educational programs, which not only shape the social environment for trainees but also aim to foster the development and preservation of their individual identities.

The study aims to develop a hierarchical model for innovative work behaviour (IWB) that can capture the complex associations among the factors contributing to IWB within the information technology (IT) sector. To accomplish this, the authors rely on an abductive approach using a graph theoretic model, often called interpretive structural modelling (ISM).

After conducting an in-depth literature review and using the Delphi method, the authors identified 12 factors (11 enablers and IWB as an outcome). The authors collected data through the Delphi approach by sending the questionnaire to 11 experts from academia and the IT sector who have extensive experience and knowledge relevant to the study. The authors then used the ISM method to analyse the relationships among these factors and understand their driving forces.

Based on the ISM model and the Matrice d'Impacts Croisés Multiplication Appliquée à un Classement analysis, the authors have identified that inclusive leadership, proactive personality and knowledge creation ability are the variables with strong driving power but weak dependence. Conversely, IWB has strong dependence but weak driving power. These findings suggest that to foster IWB, the organisation should prioritise inclusive leadership, proactive personality and knowledge-creation ability to succeed in challenging times. The study’s findings contribute to the social exchange theory, which explains IWB in a dynamic setting. Additionally, the study helps address the significant concerns that most IT companies face during times of crisis.

The study provides valuable guidance for managers and policymakers who are grappling with the challenges of improving IWB in the IT sector. This study is particularly relevant as the industry is currently navigating an economic recession and facing intense competition from other tech companies launching new products and services.

This research holds great significance for top executives, line managers and policymakers in the IT industry. It sheds light on the relevance and importance of various factors facilitating millennials' IWB.

Studies on the negative aspects of consumer–brand relationships have received increasing attention in academia, but most research on this phenomenon is not focused on services. On the other hand, the literature consistently demonstrates evidence that gender affects consumer behavior. In this context, this study aims to unprecedentedly identify the antecedents of brand hate and the effects of consumer gender across different service sectors.

This research compares the results of two studies with service companies. The first was accomplished with 307 consumers of mobile phone operators, and the second study was performed on 450 higher education students. The data were analyzed using structural equation modeling.

In both studies, females showed greater importance for ideological incompatibility than males. This suggests that females are more sensitive to moral issues and ethical behavior than males. As for males, negative experience is the most relevant antecedent of brand hate in both samples. However, when age is checked, the results indicate that younger males develop more brand hate than older males. This does not happen with females.

This study demonstrates gender differences and compares two samples applied in different service sectors: low-technological and high-touch consumer interactions. The results show that the antecedents of brand hate for males and females in the service sector differ. This study also points out that older males present a different behavior when compared to younger males, which does not happen with females.

Post-millennial youths are well equipped with internet technology and computers since birth and find it easier to operate computers and technologies than their previous generations. With the advancement of technology, the ethical dilemma associated with its use has evolved. This paper aims to develop and validate a measurement scale for the ethical orientation of post-millennial technology usage by capturing the key factors that best describe the behavior adopted by students.

A systematic scale development procedure was used, involving both reviews of the literature and focus group discussions to generate the items that specify the domain of this study. After generating items, exploratory factor analysis and confirmatory factor analysis were applied to identify latent constructs of techno-ethical orientation. Lastly, the scale was subjected to reliability and validity testing.

The study found that the techno-ethical orientation scale has five dimensions: privacy concerns, classroom behavior, accessibility dilemma, social media usage and assignment ethics. Overall, a scale comprising 17 statements was derived.

The findings of our study attempt to augment the growing efforts to explore all facets of techno-ethics. It is probably the first attempt to develop a valid and reliable scale for the techno-ethical orientation of post-millennial.

This scale could be used by academicians and practitioners to assess the techno-ethical orientation of post-millennial for positive interventions.

This study derives a new reliable and valid scale for measuring the techno-ethical orientation of post-millennial toward technology usage.