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Author: Xinyu Cao
Publisher:
ISBN:
Category :
Languages : en
Pages : 42
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Book Description
Understanding consumer preferences is important for new product management, but is famously challenging in the absence of actual sales data. Stated-preferences data are relatively cheap but unreliable, whereas revealed-preferences data through actual choices are reliable but expensive to obtain prior to product launch. We develop a cost-effective solution. We argue that people do not automatically know their preferences, but can make an effort to acquire such knowledge when given sufficient incentives. The method we develop regulates people's preference-learning incentives using a single parameter, realization probability, meaning the probability with which an individual has to actually purchase the product she says she is willing to buy. We derive a theoretical relationship between realization probability and elicited preferences. This allows us to forecast demand in real purchase settings using inexpensive choice data with small to moderate realization probabilities. Data from a large-scale field experiment support the theory, and demonstrate the predictive validity and cost-effectiveness of the proposed method.
Author: Xinyu Cao
Publisher:
ISBN:
Category :
Languages : en
Pages : 42
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Book Description
Understanding consumer preferences is important for new product management, but is famously challenging in the absence of actual sales data. Stated-preferences data are relatively cheap but unreliable, whereas revealed-preferences data through actual choices are reliable but expensive to obtain prior to product launch. We develop a cost-effective solution. We argue that people do not automatically know their preferences, but can make an effort to acquire such knowledge when given sufficient incentives. The method we develop regulates people's preference-learning incentives using a single parameter, realization probability, meaning the probability with which an individual has to actually purchase the product she says she is willing to buy. We derive a theoretical relationship between realization probability and elicited preferences. This allows us to forecast demand in real purchase settings using inexpensive choice data with small to moderate realization probabilities. Data from a large-scale field experiment support the theory, and demonstrate the predictive validity and cost-effectiveness of the proposed method.
Author: Johannes Fürnkranz
Publisher: Springer Science & Business Media
ISBN: 3642141250
Category : Computers
Languages : en
Pages : 457
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Book Description
The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning from observations that reveal information about the preferences of an individual or a class of individuals. Representing and processing knowledge in terms of preferences is appealing as it allows one to specify desires in a declarative way, to combine qualitative and quantitative modes of reasoning, and to deal with inconsistencies and exceptions in a flexible manner. And, generalizing beyond training data, models thus learned may be used for preference prediction. This is the first book dedicated to this topic, and the treatment is comprehensive. The editors first offer a thorough introduction, including a systematic categorization according to learning task and learning technique, along with a unified notation. The first half of the book is organized into parts on label ranking, instance ranking, and object ranking; while the second half is organized into parts on applications of preference learning in multiattribute domains, information retrieval, and recommender systems. The book will be of interest to researchers and practitioners in artificial intelligence, in particular machine learning and data mining, and in fields such as multicriteria decision-making and operations research.
Author: Johannes F Rnkranz
Publisher: Springer
ISBN: 9783642141263
Category : Machine learning
Languages : en
Pages : 478
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Book Description
Author: Tingliang Huang
Publisher:
ISBN:
Category :
Languages : en
Pages : 29
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Book Description
“Bespoke” or mass customization strategy combines demand learning and preference learning. We develop an analytical framework to study the economic value of bespoke systems and investigate the interaction between demand learning and preference learning. We find that it is possible for demand learning and preference learning to be either complements or substitutes, depending on the customization cost and the demand uncertainty profile. They are generally complements when the personalization cost is low and the probability of having high demand is large. Contrary to usual belief, we show that higher demand uncertainty does not necessarily yield more complementarity benefits. Our numerical study shows that the complementarity benefit becomes weaker when customers are more strategic. Interestingly, the substitute loss can occur when the personalization cost is small and the probability of having high demand is large, when customers are strategic.
Author: Eyke Hüllermeier
Publisher:
ISBN:
Category :
Languages : en
Pages : 237
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Book Description
Author: Jaewoo Joo
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Moshe Ben-Akiva
Publisher: Foundations and Trends (R) in Econometrics
ISBN: 9781680835267
Category :
Languages : en
Pages : 144
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Book Description
Provides stated preference data collection methods, discrete choice models, and statistical analysis tools that can be used to forecast demand and assess welfare impacts for new or modified products or services in real markets, and summarize the conditions under which the reliability of these methods has been demonstrated or can be tested.
Author: Hanna Lehtimäki
Publisher: Taylor & Francis
ISBN: 1000971414
Category : Architecture
Languages : en
Pages : 642
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Book Description
This groundbreaking handbook leads the way in accelerating the transition to a sustainable circular economy by introducing the concept of a catalyst as a positive and enhancing driving force for sustainability. Catalysts create and maintain favourable conditions for complex systemic sustainability transition changes, and a discussion and understanding of catalysts is required to move from a linear economy to a sustainable and circular economy. With contributions from leading experts from around the globe, this volume presents theoretical insights, contextualised case studies, and participatory methodologies, which identify different catalysts, including technology, innovation, business models, management and organisation, regulation, sustainability policy, product design, and culture. The authors then show how these catalysts accelerate sustainability transitions. As a unique value to the reader, the book brings together public policy and private business perspectives to address the circular economy as a systemic change. Its theoretical and practical perspectives are coupled with real-world case studies from Finland, Italy, China, India, Nigeria, and others to provide tangible insights on catalysing the circular economy across organisational, hierarchical, and disciplinary boundaries. With its broad interdisciplinary and geographically diverse scope, this handbook will be a valuable tool for researchers, academics, and policy-makers in the fields of circular economy, sustainability transitions, environmental studies, business, and the social sciences more broadly.
Author: Christian Schubert
Publisher:
ISBN:
Category :
Languages : en
Pages : 25
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Book Description
Author: Colin Lewis
Publisher: Routledge
ISBN: 113634683X
Category : Business & Economics
Languages : en
Pages : 172
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Book Description
This practical book covers the forecasting- and inventory control methods used in commercial, retail and manufacturing companies. Colin Lewis explains the theory and practice of current demand forecasting methods, the links between forecasts produced as a result of analysing demand data and the various methods by which this information, together with cost information on stocked items, is used to establish the controlling parameters of the most commonly used inventory control systems. The demand forecasting section of the book concentrates on the family of short-term forecasting models based on the exponentially weighted average and its many variants and also a group of medium-term forecasting models based on a time series, curve fitting approach. The inventory control sections investigate the re-order level policy and re-order cycle policy and indicate how these two processes can be operated at minimum cost while offering a high level of customer service.
