Operations Management and Business informatics

Management science, data and knowledge are the key assets of XXI century companies. In modern digital economy advances in technologies transform the ways people work, interact, think, and coordinate their activities. Operations management (OM) includes all the main processes of managing production activities: from the production of goods and services to their delivery to the end consumer. Business informatics (BI) is an interdisciplinary subject combining economics of digitization, information technology, and some concepts of computer science. So, the interplay of digital technologies with organizations as socio-economic systems is of special interest. Operations management and Business informatics deals with effective operations based on information technology and its application. It includes data governance, information and knowledge management, ERP systems, decision making, IT-project management, intelligent applications, and many other fields.

The track welcomes contribution from any relevant arena: academia, business, or non-profit organizations. Research related to emerging markets is especially encouraged; it can be related to firms from emerging markets and to international firms operating in these regions.

Accordingly, this track invites research that addresses (but not limited to) the following: 

• Operations management and efficiency
• Logistic methods, tools and practices
• Methods and models of supply chain management, tools, and practices
• Organizational performance measurement
• Data governance
• Knowledge and information management (KM and IM)
• KM strategy
• Knowledge-based strategies
• Innovation management
• Learning Organization & Organizational Learning
• Information and knowledge management (IKM) in supply chains, finance, marketing, HR, strategy, and business transformation
• Big data analytics for decision making
• Data-driven decision making
• Behavioral economics of decision making (biases etc)
• Decision-making in supply chains, finance, marketing, HR, strategy and business transformation
• Implementation of KM tools (Communities of practice, Expert networks, Lessons Learned systems etc.)
• Business applications of artificial intelligence (AI) and Big data
• Business applicational of ontology engineering and semantic technologies
• Business intelligence
• Big data analytics for decision making
• Decision making in VUCA world (under Volatility, Uncertainty, Complexity and Ambiguity)
• Decision support models
• Decision-making in supply chains, finance, marketing, HR, strategy and business transformation

 

Round table «Зачем бизнесу нужна Management Science?»

October, 7 (Th.) 4 pm - 6 pm 

Working language - Russian

Speakers:

Татьяна Альбертовна Гаврилова, профессор кафедры информационных технологий в менеджменте, ВШМ СПбГУ

Дмитрий Вячеславович Кудрявцев, доцент кафедры информационных технологий в менеджменте, ВШМ СПбГУ

Лев Юрьевич Григорьев, исполнительный директор компании BIG

Михаил Борисович Красильников, директор департамента математической оптимизации компании BIA-Technologies

Михаил Александрович Куликов, руководитель направления маркетинга, группа НЛМК

Questions:

1. Что такое management science?
2. Границы и ограничения применимости management science в бизнесе?
3. Какие задачи бизнеса могут быть реально решены на основе management science?
4. Актуальные направления развития management science?
5. Проблемы применения management science в реальном бизнесе?

Moderators: Николай Зенкевич, доцент кафедры операционного менеджмента, ВШМ СПбГУ; Татьяна Альбертовна Гаврилова, профессор кафедры информационных технологий в менеджменте, ВШМ СПбГУ