The Impact of Digital Transformation on the Future Jobs: Perspectives from Experts in Libyan Telecommunications Companies

Hasan Emran, Milad Salem, Fathia Elhony — Mon, 12 Jan 2026 00:00:00 +0800

This study aimed to identify the impact of digital transformation on the future of jobs by exploring its effects on the labor market and future occupations. Data were collected from a group of experts working in Libyan telecommunications companies, totaling 59 participants. A descriptive analytical approach was employed to analyze and interpret the data. The results revealed that digital transformation has a significant impact on the future of jobs and the quality of skills required, leading to changes in the nature of jobs and their skill requirements. The level of optimism regarding digital opportunities was high (88.1%). However, the findings also indicated that some jobs are expected to disappear (91.5%). Artificial intelligence (84.7%) was identified as the most critical future job field, followed by cybersecurity (64.4%) as one of the most in-demand job areas. The study’s novelty lies in providing rare empirical data on digital transformation within the Libyan telecommunications sector, specifically capturing the unique tension between high expert optimism and the projected disappearance of traditional roles. It moves beyond global trends to identify AI and cybersecurity as the localized priority shifts for the Libyan labor market.

Optimizing Marketing Analytics in Philippine Retail: A Mediated Model of Lead Generation and Customer Relationship Management

Emmanuel Paulino, Anna Liza Aterrado, Djhoana Rington — Thu, 15 Jan 2026 00:00:00 +0800

This study investigates the impact of Marketing Analytics on Marketing Performance, with Lead Generation and Customer Relationship Management (CRM) as mediators in the retail sector. This study employs a quantitative research design using Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze how analytics usage impacts marketing performance among 158 retail companies in the Philippines. Data was collected via a Likert-scale survey and validated through rigorous statistical tests for common method bias, endogeneity, and both formative and reflective measurement models. Survey data from 158 retail businesses, represented by 316 executives, were analyzed using PLS-SEM to test the relationships among Marketing Analytics, Lead Generation, CRM, and Marketing Performance. The results confirm that Marketing Analytics significantly enhances Marketing Performance, directly and indirectly. Lead Generation strengthens the link between analytics and CRM, while CRM converts data-driven insights into sustained customer engagement and long-term business growth. This study introduces the Marketing Analytics Integration Framework for Retail, emphasizing that analytics is most effective when integrated with lead generation and CRM. It highlights the need for CRM-driven lead management, predictive analytics for demand forecasting, and omnichannel engagement. By focusing on the Philippine retail industry, this study provides empirical evidence on how businesses can optimize Marketing Analytics by providing actionable insights on how businesses can optimize analytics-driven marketing strategies.

Journal of Business, Management, and Social Studies

The Impact of Digital Transformation on the Future Jobs: Perspectives from Experts in Libyan Telecommunications Companies

Optimizing Marketing Analytics in Philippine Retail: A Mediated Model of Lead Generation and Customer Relationship Management