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Практические приложения сетевого анализа среды функционирования (Network Data Envelopment Analysis)

Получена: 30.03.2023

Получена в доработанном виде: 10.04.2023

Одобрена: 18.04.2023

Доступна онлайн: 30.05.2023

Рубрика: ЭФФЕКТИВНОСТЬ БИЗНЕСА

Коды JEL: C61, C67, O4

Страницы: 800–828

https://doi.org/10.24891/ea.22.5.800

Предмет. Современная методология оценки сравнительной эффективности деятельности однородных экономических агентов – анализ среды функционирования (Data Envelopment Analysis, DEA) – за последние годы получила существенное развитие за счет разработки новых моделей, позволяющих учитывать структуру экономических агентов и/или их продукционных систем. Включение в модель априорной информации о структуре производственных и управленческих процессов экономического агента существенно повышает информативность результатов моделирования с помощью анализа среды функционирования и позволяет существенно расширить спектр практических приложений данной методологии.
Цели. Систематизация и классификация современных практических приложений сетевого анализа среды функционирования, идентификация типов дополнительной информации, которая может быть извлечена из решения задач сетевого анализа среды функционирования для стратегического менеджмента компаний (организаций).
Методология. Систематический литературный обзор.
Результаты. Наиболее активно многоэтапные модели DEA в настоящее время используются для моделирования и оценки эффективности деятельности банков, цепей поставок, состоящих из связки «поставщик – производитель – дистрибьютор», инновационных, высокотехнологичных компаний (или территорий), а также компаний, чья деятельность регламентируется жесткими экологическими нормами. Меньше всего многоэтапные модели DEA пока что применяются для моделирования потребительского поведения как последовательного процесса, состоящего из множества этапов, что объясняется неразвитостью подходов к измерению факторов потребительского поведения.
Выводы. В качестве основного различия между типами многоэтапных сетевых моделей можно выделить отсутствие или наличие общих входов для нескольких этапов, которые разделяются в определенной пропорции между этапами (подсистемами). Данный фактор существенно влияет на вид оптимизационной модели и на подходы к ее решению. Наличие общих входов порождает необходимость решения дополнительной оптимизационной задачи по распределению ресурсов между подсистемами.

Ключевые слова: сетевой анализ среды функционирования, поэтапное моделирование, частичная эффективность, системная эффективность, сетевая структура

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