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Professional and corporate codes of ethics (Codes) are commonly used, but they are not consistently effective. Research has indicated the importance of values included in Codes, but there is little research exploring how to improve the effectiveness of Code values. There are proven pedagogies that can be used in ethics training, notably, the values-focused approach known as value self-confrontation (VSC). VSC comes from the field of psychology and has been researched for over 50 years. This theory-based methodology is effective at increasing the importance of targeted values and positively changing attitudes and behaviors. Based on our thematic review of extant VSC literature, we develop a simplified VSC implementation strategy and instrument called code value self-confrontation (CVSC). CVSC involves a self-confrontation between a participant’s personal values and the values of the organization. This confrontation can create value dissonance in the participant, which can increase the importance given to the values of the organization. VSC has been effective at positively impacting pro-organization behaviors as well as societal issues such as equality, race relations, and environmentalism. By increasing the importance of ethical values, organizations can be rewarded with behavioral changes that translate into more ethical work behaviors and decision-making.

Although special education was built upon the foundation of the Civil Rights Act of 1964, the discrimination that many racialized students receiving special education services experience cannot be denied. Many culturally, ethnically, and linguistically diverse students receiving special education services encounter labels that perpetuate racism and ableism and lead to inequitable access to services and resources necessary for more positive postsecondary outcomes. By honoring intersectionality and dismantling the singular identity, educators can become change agents and shift the historic oppressive narrative to create a system of empowerment as these individuals transition from transitional kindergarten to age 21 special education programs (TK-21) schools into adulthood.

The purpose of this chapter is to provide a comprehensive analysis of how sentiments may be a part of, or adjacent to, status generalization. We demonstrate why this problem is so difficult to solve definitively, as many resolutions may exist. Sentiments may present the properties of graded status characteristics but may also be disrupted by processes of the self. Sentiments may have status properties enacted within dyadic interactions. However, sentiments may also be status elements during triadic constellations of actors. Finally, we discuss current research that is underway to provide more empirical evidence to offer confirmation or disconfirmation for some of our proposed models.

We provide a synthesis of literatures, including pieces from group processes, neuroscience, psychology, and network scholarship, to address the relation between sentiment and status processes. Accordingly, this is a conceptual chapter.

We attempt to motivate future research by exploring the many complications of examining these issues.

Understanding how social inequalities may emerge during group interaction allows researchers to address their deleterious effects. Positive sentiments (in other words, “liking”) should bring actors closer together to complete tasks successfully. Ironically, when paired with negative sentiments within task groups, inequalities in group opportunities may result. To address these social inequalities, a thorough understanding of how they develop is necessary, so that efficacious interventions can be adopted.

This deep dive into the relation between sentiment and status processes joins the 25-year quest to understand the issues surrounding this relationship.

Achieving continuous innovation performance still poses a major challenge to established companies as it requires high flexibility and adaptability in usually efficiently structured organisations. One way to tackle this challenge lies in establishing effective behaviours to successfully establish and apply innovation leadership mechanisms in an organisation. The emerging agile leadership style could provide such effective behaviours, as it addresses the demand for flexibility and adaptability on the organisational level. Despite these clear parallels research on the link between agile leadership and innovation leadership, and their possible combined contribution to drive continuous innovation performance is still in its infancy. Accordingly, the present study examines the behaviours of agile leaders to promote continuous innovation in established companies. It applies a discovery-driven research process of agile leaders to derive and categorise their behaviours. The subsequent comparison of the identified agile leadership behaviours with innovation leadership mechanisms from existing literature leads to eight specific, combined agile leadership principles within the three categories empowerment, performance enhancement, and support for continuous innovation. Eventually, this basis allows the conceptualisation of a first exploratory framework with the identified behaviours as possible enablers, and innovation leadership mechanisms as possible mediators for the continuous innovation performance, subject to test. These findings enhance existing theory by clarifying a possible link between agile leadership and continuous innovation. That way, practitioners can profit from concrete principles for agile leaders to inspire and enable continuous innovation in individuals and teams.

In this study, a novel framework was proposed to assess the trust in e-government (e-Gov) services under an uncertain environment. The proposed framework was applied in Iranian municipality websites of e-Gov services to evaluate the readiness score of trust in e-Gov services.

A unique hybrid research methodology was proposed. In the first phase, a comprehensive set of indices were determined from an extensive literature review and finalized by employing the fuzzy Delphi method. In the second phase, interval-valued intuitionistic fuzzy set (IVIFS) -was utilized to model the problem's uncertainty with analytic called IVIFS- hierarchy process (AHP) to determine the importance of indices and indicators by assigning the weights. In the third phase, the fuzzy evaluation method (FEM) is followed for assessing the readiness score of indices in case studies.

The findings indicated that “Trust in government” is the most significant index affecting citizen's trust in e-Gov services while “Maintenance and support” has the least impact on user's intention to use e–Gov services.

The study contributes by introducing a unique research methodology that integrates three phases, including fuzzy Delphi, IVIFS AHP and fuzzy evaluation method. Moreover, the fuzzy sets theory helps to reach a more accurate result by modeling the inherent ambiguity of indicators and indices. Interval-valued intuitionistic fuzzy models the ambiguity of experts' judgments in an interval.

The study helps policy makers to monitor wider aspects of trust in e-Gov services as well as understanding their importance. The study enables policy makers to apply the framework to any potential case studies to evaluate the readiness score of indices and recognizing strengths and weakness of trust dimensions as well as recommending advice for improving the situation.

The study is one of the few to indicate significant indices of trust in e-Gov services in developing countries. The study shows the importance of indicators and indices by assigning a weight. Additionally, the framework can assess the readiness score of various case studies.