Alexander A. Kharlamov
МФТИ
- Quality and Supply Management
- Supply Chain Resilience and Risk Management
- Big Data and Business Intelligence
- Customer Service Quality and Loyalty
- Construction Project Management and Performance
Чем занимается
Ключевые темы по публикациям: Quality and Supply Management; Supply Chain Resilience and Risk Management; Big Data and Business Intelligence; Customer Service Quality and Loyalty; Construction Project Management and Performance.
Последние работы
Все 24 в OpenAlexEmbedding transparency in artificial intelligence machine learning models: managerial implications on predicting and explaining employee turnover2022 · аннотациясвернуть
Employee turnover (ET) is a major issue faced by firms in all business sectors. Artificial intelligence (AI) machine learning (ML) prediction models can help to classify the likelihood of employees voluntarily departing…
The impact of servitization and digitization on productivity and profitability of the firm: a systematic approach2020 · аннотациясвернуть
We propose a new systematic method to answer the research question: ‘What is the financial and economic impact of servitizing the firm, digitising the firm, and combined servitization and digitization strategy?’ Our…
Development of a purchasing portfolio model for the construction industry: an empirical study2014 · аннотациясвернуть
Purchasing is one of the core activities of most industries and performance in this area directly impacts the overall performance of a company. The purchasing portfolio model used in this paper, based on the Kraljic…
- Improving productivity in Hollywood with data science: Using emotional arcs of movies to drive product and service innovation in entertainment industries2020
- The impact of intersectional racial and gender biases on minority female leadership over two centuries2024
- Data Analytics for Predicting Situational Developments in Smart Cities: Assessing User Perceptions2024
- Data sharing decisions: Perceptions and intentions in healthcare2023
- Developing a framework to support strategic supply chain segmentation decisions: a case study2020
Наукометрия
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Шаблон письма
Здравствуйте, Alexander A. Kharlamov! Я студент(ка) [курс, факультет, вуз]. Мне интересна тема [опишите интересы своими словами]. Прочитал(а) вашу работу «Embedding transparency in artificial intelligence machine learning models: managerial implications on predicting and explaining employee turnover» (2022) — она близка к тому, чем я хочу заниматься. Хочу обсудить возможность выполнить научную работу под вашим руководством. Буду благодарен(на) за ответ — готов(а) рассказать о себе подробнее и прислать резюме. С уважением, [Имя Фамилия]
На этапе теста письмо отправляешь сам из своей почты. Отправка из сервиса и статусы заявок — скоро.