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The innovative capacity of an organization is typically realized through unit-level teams. Previous studies correlate innovation performance with cultural diversity of teams, but note that team dynamics need to be optimized to derive maximum benefit. Herein, this study offers an assessment of available team building instruments through the lens of diverse innovation teams. In a demonstration project in the pharmaceutical industry, this study then outlines specific tools and approaches which can be successfully deployed through team coaching and mentoring.

A cluster of nine innovation teams with varying degrees of cultural diversity was provided with assessment and management instruments which had been identified and field tested by a mentoring team. Content included cultural awareness tools, innovation team profiling methods and Team Science (SciTS) ideology. Teams were funded, coached and mentored through a six-month performance period and assessed at regular intervals.

Team assessments provided correlations between performance (measured by project completion and new intellectual property generated) and diversity together with wealth of information on intra-team culture and dynamics. Concrete recommendations from the study include adoption of appropriate communication standards to promote inclusivity, use of SciTS operational tracking metrics to enhance engagement, use of the FourSight group profiling methodology and cultural quotient scale cultural awareness instruments at team-forming stage to promote effective dynamics and enhance inclusivity.

Cultural diversity has a positive impact on innovation teams. This said, for maximum benefit cultural awareness of team members should be optimized to avoid unintended conflicts developing. Such issues can be exacerbated when teams are deployed remotely and preventative measures should be established. These issues became of heightened significance as a result of telecommuting imposed by the COVID-19 pandemic and have longer-term implications, as corporations consider global air travel reduction through environmental concerns. A tracking tool is described to monitor team engagement and promote inclusivity. It is expected that the learnings can influence how teams can best form, normalize and operate within corporate innovation programs and form the basis of long-term impact studies.

This represents the first systematic study on the impact of cultural diversity and team dynamics within innovation programs in the pharmaceutical industry. The tools and methodologies deployed are widely available and can be adopted by innovation teams in many adjacent industries with established innovation ecosystems.

Though there is broad agreement on the beneficial impact of diversity in management and leadership roles, much of the innovative capacity of an organization is realized at the unit level in working teams. Recent research points to cultural diversity having an especially significant impact on innovation team performance. The reports also highlight the need for the optimal team operating principles to derive maximum benefit. To prepare such innovation teams for success, it is valuable to understand the dynamics of team diversity at the project level and the underlying barriers and opportunities presented.

This paper reviews the literature and case studies on cultural inputs to ideation and innovation, assessing team diversity through readily available instruments and the deployment of the science of team science (SciTS) principles in innovation teams.

The key learnings include the importance of establishing communication standards, SciTS principles, team assessment of thinking styles and the utility of cultural awareness instruments.

Diversity provides a creative advantage for innovation teams. However, team dynamics play an important role in maximizing these advantages, and cross-cultural competence of team members is required. Deployment of appropriate assessment tools and team methodologies enhances the likelihood of successful outcomes including in remote team settings.

Literature from diverse functional areas is summarized including the science of team science, organizational management, diversity and inclusion methodologies and ethnocultural dynamics. It provides pointers for the optimal formation and operating principles with highly culturally diverse teams.

Adaptation to the requirements of digital economy is especially difficult for older workers, which is a challenge for today’s organizations due to workforce shrinking and ageing. Therefore, the purpose of this paper is to investigate how it is possible to develop older employees’ potential in technology use in the business environment.

The authors examined how employees at various age perceive barriers during enterprise system (ES) adoption and use. This exploratory study is based on grounded theory and draws from the opinions of 187 Polish ES practitioners.

With age, emphasis on employees’ perception of mandatory ICT implementation projects is shifting from technology to people-related considerations. For older employees, job security and workload appear the most critical issues in such projects. Age-diverse collaboration appears necessary to address the problems posed by technology-related and demographic changes.

The findings imply that incorporating multiple stakeholder perspectives and age-related considerations into research on ICT adoption appears essential.

ICT adoption in the business environment can be successfully supported by age-balanced team building, cooperation between younger and older employees, and age-adjusted change management initiatives.

Supporting older employees during the implementation of mandatory business software should embrace reducing their negative attitudes to ICT-induced change by minimizing their perception of job insecurity.

Unlike many prior studies, the current research places age in the central role and discusses not only how it is possible to support older employees, but also how to leverage their potential in the process of ICT adoption and use in a mandatory setting.

The purpose of this study is to assess the interaction effect of government non-financial support and firms' regulatory compliance on firms' innovativeness. Firms' regulatory compliance with environmental and safety issues has been suggested as one of the reasons why firms innovate. Such compliance provides legitimacy, improves reputation and corporate image, and enhances customer loyalty and competitive advantages, which influence firm innovativeness. However, regulatory compliance is costly and with limited resources, the role of government support is crucial as a moderator, to help firms become more compliant and influence their innovativeness.

The study uses data from the World Bank Enterprise Innovation Survey for seven countries in Sub-Saharan Africa.

Regulatory compliance has a positive and significant effect on firm innovativeness. Increased use of government non-financial support enhances the level of firm regulatory compliance and the effect of regulatory compliance on firm innovativeness.

The study contributes to the literature on compliance and firm innovativeness in Africa by showing how the positive effect of regulatory compliance on firm innovativeness is stronger when firms benefit from government non-financial support.

This integrative literature review aims to explore themes within higher education that may be applicable to leadership education including: descriptions of trauma, trauma-informed practices and trauma-informed practitioners.

Integrative, systematic literature review.

The results suggest that trauma and trauma-informed practices may have a place in leadership education pedagogy.

There is no work being done in trauma informed practice in leadership education. This study provides future direction for both research and practice.

This study aims to highlight the impact of altruistic-self and hunger awareness on socially responsible food consumption through the lens of self-awareness and self-congruity theories due to the great challenge of Sustainable Development Goal 2: Zero Hunger.

A survey was conducted with a sample of 812 respondents. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) confirm each variable's structure through the measurement model and test the hypothesis to support a structural model.

The results highlight that the combination of altruistic-self and hunger awareness (AS-HA congruence) drives consumers to execute socially responsible food consumption. Meanwhile, consumers' food-saving attitude mediation translates to the attitude towards responsible and ethical use increasing socially responsible food consumption, a contextual development in the theory of congruence. Conversely, hunger awareness is not confirmed as significantly influencing socially responsible food consumption.

This research provides valuable insights for academicians and practitioners in developing food waste management strategies that can be implemented to reduce food wastage.

Food waste is a global concern and is challenging for many manufacturing, distribution and individual wastage levels. However, food wastage by consumers is one of the most critical problems which can be minimised with awareness and attitudinal changes in behaviour as a form of socially responsible consumption.

The topic of parent migration and its effects on the family environment has become a focus of moral dilemmas in East Europe for the last three decades. Children have been portrayed as social orphans and parents working abroad as neglectful parents. Today, with more evidence from research and experience, the impact of parental migration is much more comprehensive and nuanced, recognising its noxious or even harmful but also possibly empowering effects. This chapter reflects on the involvement of left-behind adolescents as co-researchers in a study of transnational families. It acknowledges the agentic role of children (often automatically labelled as victims of neglect), amplifies their voices to inform existing data on the impact of parents' departure to work abroad and identifies directions for intervention that might strengthen families.

The research is an integral part of CASTLE – Children Left Behind by Labour Migration, an ongoing project (June 2021–December 2023). ¹ This chapter presents the research collaboration experience with 12 co-researcher adolescents with previous left-behind experiences, originating from Moldova and currently residing in Romania. The co-researchers participated in all stages of the research process: training, design of data collection, recruitment of research participants, data analysis and dissemination of results. Taking co-researcher roles had an empowering effect on adolescents, who learnt how to express their views on the topic, voiced their experiences about the emotional costs of being left behind by their parents and reflected on sensitive issues like separation of family members and violence in the family.

As the influence of institutional investors over managerial decision-making grows, so does the importance of understanding the effect of institutional investor ownership (IO) on firm outcomes. The authors take a comprehensive approach to studying the effect of IO on earnings management (EM).

The authors study the relation between IO and EM using a sample of 59,503 listed U.S. firm-year observations from 1981–2019. The authors proxy EM with earnings surprises and with accrual-based and real activity measures. The authors test for nonlinear relations and analyze changes resulting from the passage of the Sarbanes–Oxley Act.

The findings support a positive IO-EM relation overall, but show that the relation is dynamic and heavily context-dependent with evidence of nonlinearity. The authors also find evidence that IO positively affects accrual-based EM and real activities EM negatively.

To the authors’ knowledge, this is the first study of the IO-EM relation to consider evidence of nonlinearity in the U.S. context, measuring changes to the relation over time, and with the use of several measures of EM.

This study is motivated to provide a theoretically informed, data-driven assessment of the consequences associated with the participation of non-human bots in social accountability movements; specifically, the anti-inequality/anti-corporate #OccupyWallStreet conversation stream on Twitter.

A latent Dirichlet allocation (LDA) topic modeling approach as well as XGBoost machine learning algorithms are applied to a dataset of 9.2 million #OccupyWallStreet tweets in order to analyze not only how the speech patterns of bots differ from other participants but also how bot participation impacts the trajectory of the aggregate social accountability conversation stream. The authors consider two research questions: (1) do bots speak differently than non-bots and (2) does bot participation influence the conversation stream.

The results indicate that bots do speak differently than non-bots and that bots exert both weak form and strong form influence. Bots also steadily become more prevalent. At the same time, the results show that bots also learn from and adapt their speaking patterns to emphasize the topics that are important to non-bots and that non-bots continue to speak about their initial topics.

These findings help improve understanding of the consequences of bot participation within social media-based democratic dialogic processes. The analyses also raise important questions about the increasing importance of apparently nonhuman actors within different spheres of social life.

The current study is the first, to the authors’ knowledge, that uses a theoretically informed Big Data approach to simultaneously consider the micro details and aggregate consequences of bot participation within social media-based dialogic social accountability processes.

This study aims to advance the understanding on individual variations in PhD candidates’ personal interest in their doctorate and supervisory and research community support, and several individual and structural attributes potentially having an impact on the profiles.

The authors explored the interrelationship between personal interest – social support profiles, and nationality, gender, research group and study status and the risk of dropping out. A total of 768 PhD candidates from a research-intensive university in Finland responded to a modified version of the cross-cultural doctoral experience survey. Latent profile analysis was used to explore the individual variations in PhD candidates’ interest and support from the supervisor and research community.

Three distinctive PhD interest-social support profiles were detected; the high interest–high support profile (74.4%, n = 570), the high interest–moderate support profile (18.2%, n = 140) and the moderate interest–moderate support profile (7.4%, n = 56). The profiles exhibited high to moderate levels of research, development and instrumental interest. Individuals in the high interest–moderate support and in the moderate interest–moderate support profiles were more prone to consider dropping out from their PhD than in the high interest–high support profile.

The results indicate that by cultivating PhD candidates’ interest and providing sufficient supervisory and the research community offers a means for preventing candidates from discontinuing their doctorate. Hence, building a supportive learning environment that cultivates a PhD candidate’s personal interest is likely to reduce high dropout rates among the candidates.