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This chapter discusses strategic management and growth hacking as complementary approaches to achieving organisational goals and driving growth. It emphasises the importance of aligning growth hacking efforts with overall corporate strategy to ensure synergy and effectiveness. Exploring various aspects of strategic management, including vision, goals, environmental analysis, strategy formulation, implementation, and performance monitoring, the authors delve into the integration of growth hacking with strategic management, highlighting key points of alignment such as resource allocation, target market segmentation, brand consistency, data alignment, risk management, and integration with other functions.

Artificial intelligence (AI) can assist in the worldwide shortage of cybersecurity workers in technical and managerial roles. Thus, the purpose of this study was to investigate the role of AI in automating many of the routine tasks associated with cybersecurity. As such, AI enables cybersecurity personnel to reduce their workloads and focus on more strategic aspects of their work.

This study is an exploratory field study. The authors started by conducting a literature review to assess the possibility that AI tools can provide and how they can improve cybersecurity efficacy. Following this, the authors identified the specific core tasks for two cybersecurity work roles (technical and managerial) and searched for specific commercial tools that can perform each of the tasks. Then, the authors used the free ChatGPT 3.5 to list the current cybersecurity systems that use AI for the associated tasks, which the authors then reviewed with the tools’ documentation and websites to confirm these tasks were conducted or assisted by AI.

Results indicated that all 14 cybersecurity tasks of the technical work role are currently noted to be performed by commercial cybersecurity systems with AI-integrated capabilities, while only 11 of the 17 managerial work role tasks currently appear to be performed by AI.

The rapid integration of AI capabilities into commercial cybersecurity systems may suggest that the cybersecurity workforce must be currently trained on how to use AI tools in their daily operations, especially as it pertains to technical cybersecurity work roles.

The cybersecurity workforce shortage is reported to exceed four million cybersecurity workers worldwide in 2023. Thus, further understanding of the role of AI in improving the efficiency of technical and managerial cybersecurity tasks is significant.

The value of this research lies in the initial assessment of the current AI capabilities of commercial cybersecurity systems, which will ultimately provide the “super-human” performances resulting from human-AI teaming.

Performance management systems (PMSs) must remain dynamic and maintain the ability to withstand the high degrees of complexity brought about by digital technologies (DTs). Academics and practitioners have explored DTs and PMSs separately. This study aims to bridge the academic and practitioner discourse surrounding PMSs and DTs to promote knowledge diffusion and collaboration.

The authors adopted a mixed method approach, combining quantitative and qualitative content analysis, which were validated through semi-structured interviews with academics and practitioners. The authors first conducted a content analysis of the academic literature contained in the Scopus database and the practitioners' literature featured in the Nexis Uni database.

The combined academic-practitioners’ body of knowledge underscores the risk and environmental dimension, as well as the theoretical frameworks employed to explore digitally empowered PMSs. These findings were corroborated by 17 confirmatory interviews conducted with scholars and practitioners.

Due to its scope, the research is limited to publications listed on Scopus and Nexis Uni. Additionally, its qualitative and interpretative nature presents some generalizability issues.

This study connects the intentions of scholars and practitioners concerning PMSs and DTs to promote collaborative efforts and knowledge diffusion. Moreover, considering the broader spectrum of insights, this manuscript postulates new avenues of research that address the key issues and concerns of both academics and practitioners. Finally, this article showcases PMs- and DT-appropriate theoretical frameworks that can inform practitioners’ discourse and work.

Strengths-based professional development has been associated with positive outcomes in academia and in the organizational workplace. Students pursuing their doctoral degrees in the biomedical sciences in the US are often on graduate assistantships, where they experience an academic component to their training integrated with an employee-like existence. The individual who serves as their academic and research advisor is often their supervisor, who pays their stipend. The traditional training structure poses unique challenges and may be accompanied by stress, burnout and imposter phenomenon. The purpose of this study is to utilize a strengths-based approach to equip students with essential personal and professional skills that build self-awareness and self-confidence further preparing them for their future in the scientific workforce.

The authors developed and implemented a novel strengths-based professional development cohort program for doctoral students in the biomedical sciences at a research-intensive (R1) institution. The program was designed to create a supportive and inclusive space for participants (n = 18) to explore their identity as a student and scientists and to develop and leverage their talents for more effective and strategic use. Program outcomes were evaluated through a mixed methods case study design using a post-program Likert-based survey (n = 10 participants) and participant interviews (n = 13). Explanatory sequential design was used in the interpretation of the findings.

The results show that the program had a positive impact on students’ perceptions of themselves as scientists, as well as on their self-efficacy, self-confidence and interpersonal interactions in the research setting.

This strengths-based professional development program demonstrates immense potential as a model to equip students with self-awareness and a new foundation of essential skills needed to supplement their technical and scientific training for their future careers in the team-based workplace.

This study demonstrates how professional development programming can complement scientific training by equipping students with self-awareness and other lifelong skills to navigate feelings of imposter phenomenon and interpersonal relationships in the team-based workplace.