The arts have played a major role in the development of management theory, practice, and education; and artists’ competencies like creativity, inventiveness, aesthetic appreciation, and a design mindset are increasingly vital for individual and organizational success in a competitive global world. The arts have long been used in teaching to: (a) explore human nature and social structures; (b) facilitate cognitive, socioemotional, and behavioral growth; (c) translate theory into action; (d) provide opportunities for professional development; and (e) enhance individual and systemic creativity and capacities for change. Use of literature and films are curricular mainstays. A review of the history of the arts in management teaching and learning illustrates how the arts have expanded our ways of knowing and defining managerial and leadership effectiveness—and the competencies and training necessary for them.
The scholarship of management teaching is large, primarily ‘how-to’ teaching designs and the assessments of them. There is a clear need to expand the research on how and why the arts are and can be used more effectively to educate professionals, enable business growth and new product development, facilitate collaboration and team building, and bring innovative solutions to complex ideas. Research priorities include: the systematic assessments of the state of arts-based management teaching and learning; explorations of stakeholder attitudes and of environmental forces contributing to current educational models and practices; analyses of the learning impact of various pedagogical methods and designs; examining the unique role of the arts in professional education and, especially, in teaching for effective action; mining critical research from education, psychology, creativity studies, and other relevant disciplines to strengthen management teaching and learning; and probing how to teach complex skills like innovative thinking and creativity. Research on new roles and uses for the arts provide a foundation for a creative revisiting of 21st-century management education and training.
Article
The Arts and the Art and Science of Management Teaching
Joan V. Gallos
Article
Content and Text Analysis Methods for Organizational Research
Rhonda K. Reger and Paula A. Kincaid
Content analysis is to words (and other unstructured data) as statistics is to numbers (also called structured data)—an umbrella term encompassing a range of analytic techniques. Content analyses range from purely qualitative analyses, often used in grounded theorizing and case-based research to reduce interview data into theoretically meaningful categories, to highly quantitative analyses that use concept dictionaries to convert words and phrases into numerical tables for further quantitative analysis. Common specialized types of qualitative content analysis include methods associated with grounded theorizing, narrative analysis, discourse analysis, rhetorical analysis, semiotic analysis, interpretative phenomenological analysis, and conversation analysis. Major quantitative content analyses include dictionary-based approaches, topic modeling, and natural language processing. Though specific steps for specific types of content analysis vary, a prototypical content analysis requires eight steps beginning with defining coding units and ending with assessing the trustworthiness, reliability, and validity of the overall coding. Furthermore, while most content analysis evaluates textual data, some studies also analyze visual data such as gestures, videos and pictures, and verbal data such as tone.
Content analysis has several advantages over other data collection and analysis methods. Content analysis provides a flexible set of tools that are suitable for many research questions where quantitative data are unavailable. Many forms of content analysis provide a replicable methodology to access individual and collective structures and processes. Moreover, content analysis of documents and videos that organizational actors produce in the normal course of their work provides unobtrusive ways to study sociocognitive concepts and processes in context, and thus avoids some of the most serious concerns associated with other commonly used methods. Content analysis requires significant researcher judgment such that inadvertent biasing of results is a common concern. On balance, content analysis is a promising activity for the rigorous exploration of many important but difficult-to-study issues that are not easily studied via other methods. For these reasons, content analysis is burgeoning in business and management research as researchers seek to study complex and subtle phenomena.
Article
Entrepreneur Coachability
Matthew R. Marvel
Entrepreneur coachability is the degree to which an entrepreneur seeks, carefully considers, and integrates feedback to improve a venture’s performance. There is increasing evidence that entrepreneur coachability is important for attracting the social and financial resources necessary for venture growth. Although entrepreneur coachability has emerged as an especially relevant construct for practitioners, start-up ecosystem leaders, and scholars alike, research on this entrepreneurial behavior is in its infancy. What appears to be a consistent finding across studies is that some entrepreneurs are more coachable than others, which affects downstream outcomes—particularly resource acquisition. However, there are sizable theoretical and empirical gaps that limit our understanding about the value of coachability to entrepreneurship research. As a body of literature develops, it is useful to take inventory of the work that has been accomplished thus far and to build from the lessons learned to identify insightful new directions. The topic of entrepreneur coachability has interdisciplinary appeal, and there is a surge of entrepreneur coaching taking place across start-up ecosystems. Research on coaching is diverse, and scholarship has developed across the academic domains of athletics, marketing, workplace coaching, and entrepreneurship. To identify progress to date, promising research gaps, and paths for future exploration, the literature on entrepreneur coachability is critically reviewed. To consider the future development of entrepreneur coachability scholarship, a research agenda is organized by the antecedents of entrepreneurship coachability, outcomes of entrepreneur coachability, and how entrepreneur–coach fit affects learning and development. Future scholarship is needed to more fully explore the antecedents, mechanisms, and/or consequences of entrepreneur coachability. The pursuit and development of this research stream represent fertile ground for meaningful contributions to entrepreneurship theory and practice.
Article
Entrepreneurial Teams
Nicola Breugst
Entrepreneurial teams develop and exploit ideas in order to turn them into entrepreneurial ventures that they jointly own and manage. While these teams are crucial drivers for the success of their ventures, their work can be challenging because they operate under conditions of high autonomy, uncertainty, and interdependence. Thus, it is important to understand how entrepreneurial teams work together and jointly advance their ventures. Research has followed three overarching approaches to explore how entrepreneurial teams can succeed in their endeavors. First, one stream of research has aimed at connecting team inputs, such as team members’ experiences, to firm-level outcomes. In a second stream of research, scholars have focused on what happens within entrepreneurial teams in terms of team processes and emergent states. This approach has identified various mechanisms that translate inputs into outcomes. Third, an increasing number of studies have started to unravel the complexities that entrepreneurial teams experience in their work. Specifically, this research has considered the mutual influence of team members and has explored how teams work on their tasks and are shaped by this work. Despite these advancements, entrepreneurial team research faces numerous challenges arising from the complex interplay of team members and their ventures as well as from access to high-quality data. Because of these and other challenges, many research questions around entrepreneurial teams still need to be addressed to better understand their work. These emerging research efforts are likely to be facilitated by additional data sources, such as educational programs devoted to advancing entrepreneurial teams and modern technologies promising better access to rich data. Overall, entrepreneurial team research not only contributes to a more nuanced understanding of the entrepreneurial process but also provides support for these teams as they create and nurture their ventures.
Article
The Kaleidoscope Career Model
Sherry E. Sullivan and Shawn M. Carraher
The kaleidoscope career model (KCM) was developed by Mainiero and Sullivan in 2006 based on data from interviews, focus groups, and three surveys of over 3,000 professionals working in the United States. The metaphor of a kaleidoscope was used to describe how an individual’s career alters in response to alternating needs for authenticity, balance, and challenge within a changing internal and external life context. As a kaleidoscope produces changing patterns when its tube is rotated and its glass chips fall into new arrangements, the KCM describes how individuals change the pattern of their careers by rotating the varied aspects of their lives to arrange their work–nonwork roles and relationships in new ways. Individuals examine the choices and options available to create the best fit among various work demands, constraints, and opportunities given their personal values and interests.
The ABCs of the KCM are authenticity, balance, and challenge. Authenticity is an individual’s need to make choices that reflect their true self. People seek alignment between their values and their behaviors. Balance is an individual’s need to achieve an equilibrium between the work and nonwork aspects of life. Nonwork life aspects are defined broadly to include not only spouse/partners and children but also parents, siblings, elderly relatives, friends, the community, personal interests, and hobbies. Challenge is an individual’s need for stimulating work that is high in responsibility, control, and/or autonomy. Challenge includes career advancement, often measured as intrinsic or extrinsic success. All three parameters are always active throughout the life span, and all influence decision-making. One parameter, however, usually takes priority; this parameter has greater influence in shaping an individual’s career decisions or transitions at that point in time. Over an individual’s life, the three parameters shift, with one parameter moving to the foreground and intensifying in strength as it takes priority at that time. The other two parameters will lessen in intensity, receding into the background, but they remain active.
