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Women are starting businesses at unprecedented rates, yet little is known about the leadership of small business owners. Establishing new ventures may allow women to use…
Women are starting businesses at unprecedented rates, yet little is known about the leadership of small business owners. Establishing new ventures may allow women to use their full abilities and benefit from a more level playing field. Business owners have the unique opportunity to lead and define their businesses based on their authentic selves, values and goals; therefore, they are more likely to be authentic leaders. Women in nontraditional industries may be challenged because the owner’s characteristics do not match those of the industry. When the enactment of one identity interferes with another identity, identity interference (II) occurs. Relational authenticity and role incongruity suggests that women founders must uniquely resolve II and find synergy among their gender and leader identities if they are to extend the boundaries of what it means to be a woman and an industry’s business leader. This research aims to determine whether gender and leader II was an antecedent or link to authentic leadership (AL).
Study participants were from 63 businesses in the USA states of California, Ohio and Maryland. Three leader models were established to determine whether owner gender functioned as a moderator: all genders (n = 155), women only (n = 75) and men only (n = 65). The individual owners and their employees were the units of analysis and structural equation modeling was used.
The findings revealed that II was an antecedent to AL, owners were AL and owner gender moderated AL and II.
This study supports (Kernis, 2003; Gardner et al., 2005) the proposition that identity congruence is necessary for AL; the less interference found between gender and leader identities, the more authentic the leader. II functioned as an antecedent to AL. Moreover when the AL self’s subscales were examined relative to II, the components that were active varied dramatically based on leader gender. This suggests that addressing II and resolving the incongruence between what it mean to be a woman (or a man) and a leader contributes to the development of AL. Additionally, the AL boundary condition of relational authenticity was supported by this study; leader gender was related to the different amounts of AL (Eagly, 2005; Kernis, 2003). Support was found that AL was a dynamic process between leaders and employees. When authentic leadership questionnaire (ALQ) self (leader) and rater (employee) were compared, there was a significant amount of consistency between these ratings. For the all genders leader model, when ALQ self’s subscale was analyzed relative to the employees’ ratings, the leaders’ relational transparency was found to be active. The women only leader model revealed that AL was activated through internalized moral perspective suggesting they were able to tap into the hearts and minds of their employees. For the men only leaders, no relationship was revealed between ALQ self’s subcomponents and employee AL ratings. Relational authenticity suggests that this may be due to employees rating men owners more based on the experience and perceptions of men leaders in general and not these business owners in particular.
Leadership development professionals should address how II may help women examine who they are, how they work with others, and their values; decrease leader II by providing insight on how to manage potentially conflicting roles through examples of synergistic behaviors and benefits; and, build upon women owners’ ability to connect with their followers by sharing their goals and aspirations. Men owners may benefit by ensuring their employees know their business’ unique value proposition.
This research sought to link the identities of leader and gender to AL in the context of small businesses. It builds upon the AL theory of Avolio et al., (2004) and Jensen and Luthans (2006) who advocated using AL to study small businesses. This study determined whether business owners experienced interference between their gender and leader identities; II hindered the formation of AL and was an antecedent to AL; and the owner’s gender led to more or less AL and thus determined if leader gender moderated AL. The support for studying leader gender comes from role incongruity (Eagly and Diekman, 2005) and relational authenticity (Eagly, 2005; Kernis, 2003) which suggests that differences in how employees perceive AL may be a function of the owner’s gender. Added support comes from Jensen and Luthans (2006); they asked future studies to examine AL to determine the mechanisms behind gender differences in small businesses. Such research provides insight on the development of AL in theory and practice.
Many factors may influence the training and development of middle-skill, low-skill, and disadvantaged workers. Within the United States and worldwide there are many…
Many factors may influence the training and development of middle-skill, low-skill, and disadvantaged workers. Within the United States and worldwide there are many middle-skilled, low-skilled, and disadvantaged workers whom training and development professionals must consider as organizations seek to expand their workforce and increase productivity using technology. Temporary agencies employ many middle-skilled, low-skilled, and disadvantaged workers; however, there is very little information regarding how effective these agencies are in developing these workers beyond the skill level with which they enter the agency.
This chapter explored how people and technology are managed in the workplace. It examines how data and data analytics in AI, human resource information system (HRIS)…
This chapter explored how people and technology are managed in the workplace. It examines how data and data analytics in AI, human resource information system (HRIS), learning content management systems, learning management systems, and talent management software have become major components of human resource and workforce development. Middle-skill, low-skill, and disadvantaged employees are being asked to use their knowledge, skills, and abilities (KSAs) to evaluate and understand technology systems, technology resources, and equipment in the workplace. HRD and HRM professionals must understand the competencies and resources needed to achieve harmony and balance between people and technology use in the workplace.
There are many implications for middle-skill and low-skill workers as emerging technologies and trends continue to evolve related to using technology in the workplace…
There are many implications for middle-skill and low-skill workers as emerging technologies and trends continue to evolve related to using technology in the workplace. Managers and HRD professionals are tasked with ensuring that employees can meet organizational goals and objectives that are in sync with the emerging needs of a contemporary workforce. As the twenty-first century continues to evolve, managers and HRD professionals must remain current in strategies and practices that are effective in managing people. This chapter provides insight and suggestions to researchers on the current trends in the field that could benefit from further research.
The introduction of rapidly changing technologies into the workplace has made it more important for organization leaders to understand how to manage technology…
The introduction of rapidly changing technologies into the workplace has made it more important for organization leaders to understand how to manage technology, middle-skill, and low-skill employees in the workplace. The knowledge of employees within these levels in the workplace is the least known. There are varying levels of influence in workplaces, and the dynamic between people and technology has implications for human resource professionals throughout the world as they grapple with change from technological advancement and human improvement.
A majority of human resource executives report that their inability to attract and retain middle-skills talent frequently affects their firm’s performance. Middle-skills…
A majority of human resource executives report that their inability to attract and retain middle-skills talent frequently affects their firm’s performance. Middle-skills jobs, those that require more than a high school diploma, less than a four-year college degree, and pay above the national living wage, account for nearly half of labor demanded in the United States. As technology transforms the workplace, digital skills are becoming increasingly important and in higher demand. In today’s dynamic workforce, managers are facing managing and developing interdisciplinary and multilevel teams while combating a technical skills divide (lack of qualified workers), making it difficult to recruit and retain a high-technology, middle-skill-level workforce. This chapter focuses on addressing unique challenges relevant to recruitment, upskilling, and management best practices as they relate to the integration of technology and middle-skill-level workers in a highly successful workplace.
This chapter seeks to identify the challenges faced by virtual teams and offers solutions to meet those challenges. Basic underlining concepts behind virtual teams are…
This chapter seeks to identify the challenges faced by virtual teams and offers solutions to meet those challenges. Basic underlining concepts behind virtual teams are provided along with the most popular forms of virtual teams. Organizational, crowdsourcing, and peer production/online communities are the most common forms of virtual teams. Understanding these basic concepts will help HRD and HRM professionals to develop virtual teams that are suitable for middle- and low-skilled workers. The chapter also presents the various types of communication technologies used in virtual along with the pros and cons associated with each type.
Artificial intelligence (AI) is defined as the ability of a computer system to sense, reason, and respond to the environment. Computer systems with advanced AI can engage…
Artificial intelligence (AI) is defined as the ability of a computer system to sense, reason, and respond to the environment. Computer systems with advanced AI can engage in sensing, reasoning, and responding in the most complex and dynamic environments. AI systems are being adapted rapidly by organizations to help manage their workforce. The reason for the popularity of AI is twofold. One, organizations now have access to huge amounts of data (i.e., big data) about their business operations which can be leveraged to make more efficient and effective management decisions. Two, advances in AI now afford organizations the ability to capture and process this data in real-time. Organizations can now incorporate the latest information into their decision making even in the most complex and dynamic competitive markets. Despite this, management through AI also presents new challenges to employees who are now both directed and held accountable by AI.