nep-ict New Economics Papers
on Information and Communication Technologies
Issue of 2024–11–25
two papers chosen by
Marek Giebel, Universität Dortmund


  1. Who Benefits from AI? Project-Level Evidence on Labor Demand, Operations and Profitability By Erdem Dogukan Yilmaz; Christian Peukert
  2. The Use of Information Technology for School Administration under Sarasas affiliated area 3 schools By Salee, Arun; Sanitlou, Nipitphont

  1. By: Erdem Dogukan Yilmaz; Christian Peukert
    Abstract: We examine how the adoption of digital automation technology affects labor demand, operations and profitability in the context of the logistics industry. Our data covers 9, 300 digital automation projects in a multinational company involving service robots and machine learning-based software from 2019 to 2021, alongside fine-grained labor and operations data. To identify causal effects, we leverage exogenous variation from supply-chain disruptions and travel restrictions during COVID-19 and an import ban on information and communication technologies imposed by the Trump administration. We find that total labor cost increased after the adoption of digital automation technology, attributable to increased labor demand and more reliance on temporary workers. However, managerial hours declined, possibly due to increased efficiency. Furthermore, digital automation technology increased revenue and profit through a reduction in operational cost, improved utilization of warehouse space, and higher profit margins. However, the effects of digital automation technology are not homogeneous. We highlight substantial complementarities between hardware and software technologies. Management units that only use software technology experience only half the increase in revenue and profit.
    Keywords: digital automation technology, robots, artificial intelligence, future of work
    Date: 2024
    URL: https://d.repec.org/n?u=RePEc:ces:ceswps:_11321
  2. By: Salee, Arun; Sanitlou, Nipitphont
    Abstract: The objectives of this research were 1) To study the use of Information technology for school administration under Sarasas affiliated area 3 schools. 2) To compare the use of Information technology for school administration under Sarasas affiliated area 3 schools, classified by educational qualifications, tenure status, school size, and varying work experiences; and 3) To examine approaches to the use of Information technology for school administration under Sarasas affiliated area 3 schools. The research method is divided into two steps Step 1 Study and compare the use of Information technology for school administration. The sample group includes 251 administrators and teachers from within Sarasas affiliated area 3 schools, selected through stratified random sampling based on the proportion of teachers in each school. The research instrument is a questionnaire on the use of Information technology for school administration, created by the researcher, and designed using a 5-level rating scale. Data are analyzed using the mean and standard deviation. Step 2 Study the approach to the use of Information technology for school administration under Sarasas affiliated area 3 schools. The informants include three experts selected by purposive sampling. The tools used for data collection include an interview form on the use of Information technology for school administration under Sarasas affiliated area 3 schools. Data were analyzed using content analysis. The research results found that: 1) the use of Information technology for school administration under Sarasas affiliated area 3 schools was at a high level overall. When considering each aspect, the area with the highest average score was general administration, also at a high level. 2) Administrators and teachers with different educational qualifications used information technology in administration differently, as classified by the educational qualification variable. 3) The results also suggest that in terms of academic administration, ICT and Hybrid Learning should be utilized to develop mobile classrooms, digital media, assessment methods, and to enhance parental participation. In budget administration, funds should be allocated for learning equipment, disease prevention, software and internet investment, and using Big Data to improve learning. For personnel administration, online work systems should be adopted, teachers’ digital skills should be developed, Hybrid Learning should be promoted, and leadership should follow the Super Coach model. In general administration, online systems should be used to track students, develop websites, and create digital media archives. Additionally, equipment for online teaching should be allocated.
    Date: 2024–10–22
    URL: https://d.repec.org/n?u=RePEc:osf:osfxxx:v4wse

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