SME employee concerns regarding AI, their current knowledge regarding AI, their willingness to adopt it and learn about it.

Title: SME Employee Perspectives on AI Adoption

Abstract: This dataset comprises encoded interview responses, raw survey data, and cleaned survey data collected from employees of small and medium-sized enterprises (SMEs), as well as a codebook that acts as metadata storage. The focus of the data is on employee concerns, current knowledge, and willingness to adopt and learn about artificial intelligence (AI) technologies. This dataset is intended to support research into the factors influencing AI integration in SME environments and to assess the readiness of employees to engage with these technologies.

Data Collection Methods:

Interviews: Semi-structured interviews were conducted with a selection of employees from various departments within SMEs. Responses have been anonymized and encoded to protect participant privacy.

Surveys: Two sets of survey data are included:

Raw Survey Data: Contains all original responses, including demographic information and unprocessed answers to questions regarding AI knowledge and perceptions.

Cleaned Survey Data: This dataset has been processed to remove incomplete responses and normalize the data for analysis.

Key Variables:

Employee Concerns: Qualitative data on personal and professional concerns regarding AI, such as job security, privacy, and trust in technology.

Knowledge of AI: Employee self-assessments and objectively measured knowledge levels regarding AI technologies and their applications.

Willingness to Adopt AI: Measures of openness to integrating AI into their work processes and willingness to participate in AI-related training and development.