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The purpose of this study is to examine the effectiveness of the Thai nursing student competency enhancement program applied through project-based learning (PjBL) in caring for the elderly in the community.

This quasi-experimental one-group pre-post-test design was used to compare mean scores on gerontological nursing competency scales comprising four dimensions including holistic health promotion, empirical evidence, empowerment and quality care and ethical and moral competencies. A total of 95 participants were randomly selected from a list of registered attendees. A five-week PjBL approach for a community nursing practicum was designed and comprised of an introduction to the project, components of research methodology, group projects and group presentations. A gerontological nursing competencies questionnaire was used with participants, and data were analyzed using descriptive statistics. Two-way ANOVA and a paired t-test were used to compare pre-post mean scores of competencies.

A total of 95 students participated in the PjBL and the majority of participants were female (92.6%). The results revealed post–PjBL mean scores of gerontological nursing competencies were higher than the premean score (p value < 0.05) except the empirical evidence competencies which showed no statistical difference.

Since the results show the effectiveness of the student nursing competency enhancement program through PjBL when caring for the elderly in the community, it is important for health care instructors to apply PjBL, especially in community nursing. Improving empirical competency evidence among nursing students is still required and necessary.

The purpose of this study is to investigate the effectiveness of online self-leadership training (OSLT) in promoting leaders’ self-leadership skills and recovery experiences.

A non-randomized controlled trial was conducted under two conditions: a standardized seven-week OSLT (N = 43) and a control without any intervention (N = 42). All participants (N = 85) completed standardized questionnaires measuring self-reported self-leadership skills and recovery experiences. Additionally, participants in the intervention group were assigned to invite one team member each (N = 26) to assess their leaders’ pre-post self-leadership skills and pre-post leader–member exchange.

Significant interaction effects of time and group and increases in the OSLT group (t1 vs t2) in self-leadership skills (cognitive and natural reward strategies) and recovery experiences (detachment and relaxation) indicated the effectiveness of OSLT training. Significant improvements in self-leadership skills and leader–member exchange were reported by team members of leaders in the OSLT group.

To the best of the authors’ knowledge, this study was the first to examine the effectiveness of OSLT for leaders in business contexts in a controlled before-after intervention design. The findings of this study revealed improvements in self-leadership skills and recovery experience because of OSLT.

Many postdoctoral scholars are seeking professional learning and development (PLD) opportunities to prepare for diverse careers, roles and responsibilities. This paper aims to develop an evidence-informed framework for PLD of postdoctoral scholars that speaks to these changing career paths.

This paper used an integrated knowledge translation approach to synthesize and extend previous work on postdoctoral scholars’ PLD. The authors engaged in consultations with key stakeholders and synthesized findings from literature reviews, surveys and semi-structured interviews to create a framework for PLD.

The PLD framework consists of four major domains, namely, professional socialization; professional skills; academic development; and personal effectiveness. The 4 major domains are subdivided into 16 subdomains that represent the various skills and competencies that postdoctoral scholars can build throughout their postdoctoral fellowships.

The framework can be used to support postdoctoral scholars, postdoctoral supervisors and higher education institutions in developing high quality, evidence-informed PLD plans to meet the diverse career needs of postdoctoral scholars.

The purpose of this paper is to present The Build and Bond, an experiential exercise which engages student teams while they apply team dynamics, enhance team skills and foster team member interpersonal bonds.

During The Build and Bond, teams design and execute their own team-building activity. Specifically, teams set goals, generate ideas, make decisions, create a team-building activity, develop implementation plans and ultimately execute the activity. Finally, during an all-class debrief discussion, teams describe their team-building activities, connect their experiences to the learning objectives and reflect on how these lessons can be applied in future team experiences. Pretest and posttest surveys were used to determine if participants perceived increases in team performance and cohesion following The Build and Bond.

All teams reported that their activity added value, was preferred over an instructor-assigned team-building activity and improved team states. Findings from t-tests supported an improvement in team performance and cohesion.

The Build and Bond is designed to help students feel more equipped to communicate, have fun and work interdependently with current and future team members.

Teams design the team-building activity themselves, so members are often more interested in participating and engaging during the team-building activity.

The purpose of this study is to investigate the barriers that prevent workers in the software industry from experiencing flow in their work.

This study was conducted by using a qualitative critical incident technique-inspired questionnaire.

The findings suggest that workers in the software industry perceive that the most obvious obstacles to experiencing flow are related to work not presenting enough cognitive challenges and situational barriers related to the characteristics of the job (e.g. workdays having too many interruptions and distractions, timetables often being considered too tight for creative exploration and problem solving and having negative user experiences with development tools).

The findings provide insights into flow barriers, specifically barriers that prevent workers in the software industry from experiencing flow.

The purpose of this paper is to provide a comprehensive survey of the literature about the use of agent-based simulation (ABS) in the study of organizational behavior, decision making, and problem-solving. It aims at contributing to the consolidation of ABS as a field of applied research in management and organizational studies.

The authors carried out a non-systematic search in literature published between 2000 and 2016, by using the keyword “agent-based” to search through Scopus’ business, management and accounting database. Additional search criteria were devised using the papers’ keywords and the categories defined by the divisions and interest groups of the Academy of Management. The authors found 181 articles for this survey.

The survey shows that ABS provides a robust and rigorous framework to elaborate descriptions, explanations, predictions and theories about organizations and their processes as well as develop tools that support strategic and operational decision making and problem-solving. The authors show that the areas that report the highest number of applications are operations and logistics (37 percent), marketing (17 percent) and organizational behavior (14 percent).

The paper illustrates the increasingly prominent role of ABS in fields such as organizational behavior, strategy, human resources, marketing and logistics. To-date, this is the most complete survey about ABS in all management areas.

The purpose of this paper is to test whether managers’ political skill is relevant for employees’ authentic leadership perceptions. Political influence theory assumes that political tactics seek to affect others’ interpretations of a person or situation. Thus, what matters for employees’ perceptions of their manager’s authentic leadership may be whether the manager actively seeks to show behavior that can be interpreted as authentic leadership. Combining political influence theory and gender stereotypes research, it is further suggested that manager gender moderates the employees’ interpretation of political influence attempts that are ambiguous.

Managers (n=156; 49.5 percent female) completed measures of their political skill. Employees (n=427; 39.1 percent female) completed measures of the manager’s authentic leadership.

Managers’ apparent sincerity was positively related to employees’ perceptions of managers’ authentic leadership; managers’ networking ability was negatively related to employees’ perceptions of female managers’ authentic leadership, but not of male managers.

The methodology does not allow claims about causality.

Findings add knowledge of authentic leadership, such as difficulties that female managers face, and show the value of a fine-grained approach to political skill. Female managers should be aware that networking might have disadvantageous side effects. Conversely, sincere behavior attempts seem favorable for authentic leadership perceptions.

While the disruptive potential of artificial intelligence (AI) has been receiving growing consensus with regards to its positive influence on entrepreneurship, there is a clear lack of systematization in academic literature pertaining to this correlation. The current research seeks to explore the impact of AI on entrepreneurship as an enabler for entrepreneurs, taking into account the crucial application of AI within all Industry 4.0 technological paradigms, such as smart factory, the Internet of things (IoT), augmented reality (AR) and blockchain.

A systematic literature review was used to analyze all relevant studies forging connections between AI and entrepreneurship. The cluster interpretation follows a structure that we called the “AI-enabled entrepreneurial process.”

This study proves that AI has profound implications when it comes to entrepreneurship and, in particular, positively impacts entrepreneurs in four ways: through opportunity, decision-making, performance, and education and research.

The framework's practical value is linked to its applications for researchers, entrepreneurs and aspiring entrepreneurs (as well as those acting entrepreneurially within established organizations) who want to unleash the power of AI in an entrepreneurial setting.

This research offers a model through which to interpret the impact of AI on entrepreneurship, systematizing disconnected studies on the topic and arranging contributions into paradigms of entrepreneurial and managerial literature.

Artificial intelligence (AI) has started to receive attention in the field of digital entrepreneurship. However, few studies propose AI-based models aimed at assisting entrepreneurs in their day-to-day operations. In addition, extant models from the product design literature, while technically promising, fail to propose methods suitable for opportunity development with high level of uncertainty. This study develops and tests a predictive model that provides entrepreneurs with a digital infrastructure for automated testing. Such an approach aims at harnessing AI-based predictive technologies while keeping the ability to respond to the unexpected.

Based on effectuation theory, this study identifies an AI-based, predictive phase in the “build-measure-learn” loop of Lean startup. The predictive component, based on recommendation algorithm techniques, is integrated into a framework that considers both prediction (causal) and controlled (effectual) logics of action. The performance of the so-called active learning build-measure-predict-learn algorithm is evaluated on a data set collected from a case study.

The results show that the algorithm can predict the desirability level of newly implemented product design decisions (PDDs) in the context of a digital product. The main advantages, in addition to the prediction performance, are the ability to detect cases where predictions are likely to be less precise and an easy-to-assess indicator for product design desirability. The model is found to deal with uncertainty in a threefold way: epistemological expansion through accelerated data gathering, ontological reduction of uncertainty by revealing prior “unknown unknowns” and methodological scaffolding, as the framework accommodates both predictive (causal) and controlled (effectual) practices.

Research about using AI in entrepreneurship is still in a nascent stage. This paper can serve as a starting point for new research on predictive techniques and AI-based infrastructures aiming to support digital entrepreneurs in their day-to-day operations. This work can also encourage theoretical developments, building on effectuation and causation, to better understand Lean startup practices, especially when supported by digital infrastructures accelerating the entrepreneurial process.

This chapter advances our understanding of collaborative innovation processes that span across organizational boundaries by providing an ethnographic account of idea generation dynamics in a member-initiated online songwriting community. Applying a science and technology studies perspective on processes “in the making,” the findings of this chapter reveal the generative entanglements of three processes of content-in-the-making, skill-in-the-making, and community-in-the-making that were triggered and maintained over time by temporary stabilizations of provisional, interim outcomes. These findings also elucidate interferences between these three processes, particularly when an increased focus on songs as products undermines the ongoing collaborative production of ideas. Regular interventions in the community design were necessary to simultaneously stimulate the three processes and counteract interfering tendencies that either prioritized content production, community building, or skill development, respectively. The authors conclude that firms seeking to tap into online communities’ innovative potential need to appreciate community and skill development as creative processes in their own right that have to be fostered and kept in sync with content production.