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How can students become transformational leaders if they are left alone to grapple with the emotional toll of climate change, preparing for careers while scientists sound the alarm that business as usual is untenable? Ecoanxiety, solastalgia, and climate grief are the affective undercurrents in sustainability and environmental science classrooms. This case study discusses strategies used to support students' emotional well-being in an introductory sustainability class and a co-curricular climate change support group program at Oregon State University. Psychologists and sustainability educators created space for students and faculty to engage in authentic dialogues confronting the emotional uncertainty of the climate crisis and working together to define their roles building a resilient future.

This study aims to determine how much company participation in a type of cluster affects its economic performance.

This study includes companies operating in seven industries (automotive, engineering, textiles, information technology (IT) services, furniture, packaging and nanotechnology) in the Czech Republic. The companies are divided into three groups: members of institutionalized cluster, operating in the same region (natural clusters) and operating in other regions. Data envelopment window analysis is used to measure their performance for 2009–2019.

Results show that the effect of clustering differs among industries. Companies in three industries (automotive, engineering, nanotechnology) reveal a positive impact of the cluster initiative on performance growth. Two industries (textile, packaging) with companies operating in a natural cluster show better performance than those in an institutionalized cluster. Moreover, the IT services and the furniture industries show no positive effect of clustering on corporate performance.

This research includes 686 companies from seven industries and monitored for 11 years. On the one hand, the sample includes a relatively high number of companies overall; but on the other hand, the sample is relatively small, especially for nonclustered companies. The reason is the lack of available financial statements for small companies.

From the perspective of practical cluster policy, the authors can recommend that monitoring the performance of member companies in clusters must be one of the criteria for evaluating the success of a cluster, such as cluster initiatives.

This study distinguishes between long-standing natural clusters in a given industry and institutionalized ones that have emerged because of a top-down initiative. An original database is created for clustered and nonclustered companies in seven industries, covering the entire Czech Republic.

This study proposes to understand the conditions favorable for readiness for organizational change. The analysis helps in proposing managerial interventions that would be useful for change management in an organization.

The study employs an empirical methodology to investigate the effect of individual and organizational factors on readiness for organizational change. The study has used descriptive research design. Bivariate linear regression is used to test the hypotheses, and multiple regression is used to identify the pertinent factor that affect individual's readiness for organizational change. Thereby, a causal relationship model is proposed, using few pertinent factors which are tested using the structured equation modeling (SEM) technique.

First, each of the factors independently has a significant effect on readiness for organizational change. Second, the prior experience of change, commitment towards organization and participation in decision-making are the pertinent factors that affect readiness for organizational change. Lastly, commitment towards organization partially mediates the relation between participation in decision-making and readiness for organizational change.

The analysis helps in proposing managerial interventions that would be useful for change management in an organization. It investigates how individual and organizational characteristics influence employees' readiness for organizational change, causing them to adopt the change process.

To the best of the authors’ knowledge, this is one of the first studies that investigates the pertinent individual factors and the organizational factors that affect readiness for organizational change in the context of an emerging economy, India.

The purpose of this study is to examine the effect of organizational readiness (OR) dimensions (organizational culture, climate and capability) on three types of innovations (INs) (service, process IN and entering new markets) in telecommunication companies. The study also tests the mediating role of employee engagement (EE) in the causal relationship between OR and IN.

In the theoretical framework, a deep and broad review of the literature was presented to determine the study variables and hypotheses that were tested in the field study. The study sample consisted of 306 respondents distributed to the headquarters of the three companies (Zain, Orange and Umniah) working in the Jordanian telecommunications sector. The number of questionnaires retrieved and valid for analysis was 255 (83%).

Results indicate a positive effect of organizational climate and organizational capacity on process IN and entering new markets. While organizational culture had no significant effect on the three types of IN EE did not have a mediating role in the relationship between OR and IN.

The results of this study are related to the telecommunications sector as a highly competitive service sector and more able to work remotely with regard to customers, so its results cannot be generalized to other sectors such as the industry sector, which has suffered in recent years from the epidemic more than other sectors.

The study of OR as a concept, dimensions and effects provides great experience for leaders and managers facing the challenges of competition and threats posed by the Covid-19 pandemic. This study also helps researchers to study OR in new areas and in relation to other concepts.

The OR covers a wide field that includes the individual, the group and the company. Therefore, readiness includes a social experience that can extend from the company to the community.

The study gains an important value by revealing that organizational culture as a dimension of readiness does not have a significant impact on IN. With the readiness to respond quickly to challenges, culture can be more inclined to the status quo and the prevailing routine than to IN and change.

This study aims to explore whether, how and when leaders' artificial intelligence (AI) symbolization (i.e. the demonstration of leaders' acceptance of and support for AI by engaging in AI-related behaviors and/or displaying objects that reflect their affinity for AI) affects employee job crafting behaviors.

The authors conducted two studies (i.e. an experiment and a multi-wave field survey) with samples from different contexts (i.e. United States and China) to test our theoretical model. The authors used ordinary least squares (OLS) and hierarchical linear modeling (HLM) to test the hypotheses.

Leaders' AI symbolization is positively related to employee change readiness and, in turn, promotes employee job crafting. Moreover, employee-attributed impression management motives moderate the positive indirect effect of leaders' AI symbolization on employee job crafting via change readiness, such that this indirect effect is stronger when employee-attributed impression management motives are low (vs high).

Leaders should engage in AI symbolization to promote employee job crafting and avoid behaviors that may lead employees to attribute their AI symbolization to impression management.

By introducing the concept of leaders' AI symbolization, this study breaks new ground by illustrating how leaders' AI symbolization positively influences employees' change readiness, as well as job crafting in the workplace. Further, integrating AI as a novel and timely context for evaluating job crafting contributes to the literature where empirical research is relatively scant, particularly regarding the factors that prompt employees to engage in job crafting.

Drawing on Bandura’s social learning theory (SLT), the purpose of this paper is to investigate, analytically, the impact that after-training skills level (i.e. perceived skill match) has on change self-efficacy. Moreover, this research also aims to identify which specific skills sets (if any) act as a protective factor during organizational change, supporting the change confidence (CC) level of the people involved.

Quantitative research was carried out on a sample of 200 workers in the bank sector.

Findings of this study suggest that skill match has a significant impact on the CC level. Furthermore, this study demonstrates that, even in front-office jobs, a perceived skill match of soft skills does not have a significant impact on staff CC, unlike that suggested by common sense and by literature.

Future research should investigate if and how a training process enables change self-efficacy over time or instead shows its utility only when it is relating to a specific and limited period.

This study suggests that in designing training, top and middle management should pay specific attention to change recipients’ needs by adopting a bottom-up approach. Moreover, to improve training effectiveness, it would be advisable to also train change recipients’ supervisors.

This study has social implications in suggesting how to foster the adaptive capabilities of change recipients in current turbulent times. In doing so, it suggests how to prevent some undesirable change consequences such as anxiety, intention to quit, work-related stress and change cynicism.

This paper shows that, from a methodological point of view, it is necessary to evaluate training effectiveness at the level of a specific skill area and not simply by comparing the trained/not trained people, as typically practiced until now.