Results 61 to 70 of about 9,170 (259)
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
Mid‐Domain Effect and Wooded Habitat Shape Mediterranean Reptile Communities
Analyzing a large number of reptiles observed across protected areas in Central Italy, we tested whether the mid‐domain effect explains hump‐shaped richness–elevation patterns. Species richness was best predicted by the combined influence of geometric constraints and woodland cover, revealing two contrasting species clusters and offering a robust ...
Daniele Dendi +3 more
wiley +1 more source
ABSTRACT Whether corporate carbon management can enhance productive efficiency is central to firms' long‐term competitiveness and determines whether carbon reduction efforts can be sustained beyond regulatory compliance. This study examines how corporate carbon risk and opportunity management affects firm productivity (measured by total factor ...
Nan Huang, Hanlu Fan, Ruoxin Zhu
wiley +1 more source
Context-aware Bayesian mixed multinomial logit model
The mixed multinomial logit model assumes constant preference parameters of a decision-maker throughout different choice situations, which may be considered too strong for certain choice modelling applications. This paper proposes an effective approach to model context-dependent intra-respondent heterogeneity, thereby introducing the concept of the ...
Mirosława Łukawska +2 more
openaire +3 more sources
ABSTRACT Little is known about consumer preferences for combinations of circular business model patterns, despite their potential to benefit the design of product services. This study examines consumer preferences for product‐as‐a‐service offers, combined with circular product attributes, across Sweden and the Netherlands.
Steven Sarasini +5 more
wiley +1 more source
Comparing discrete choice and machine learning models in predicting destination choice
Destination choice modeling has long been dominated by theory-based discrete choice models. Simultaneously, machine learning has demonstrated improved predictive performance to other fields of discrete choice modeling.
Ilona Rahnasto, Martijn Hollestelle
doaj +1 more source
What Drives CSR Performance: Structures, Declarations or Values?
ABSTRACT Sustainability and corporate social responsibility (CSR) are increasingly central to strategic management, yet a gap persists between formal commitments and actual practice. The study explores the structural and value‐based predictors of the institutional integration of CSR and sustainability, with a focus on the mediating role of the CSR ...
Pavla Vrabcová +3 more
wiley +1 more source
Factors affecting packed and unpacked fluid milk consumption
This article identifies consumer characteristics associated with preferences toward fluid milk alternatives. Using consumer survey data from Samsun province of Turkey and Multinomial Logit model, unpacked and packed fluid milk preferences were analyzed ...
O. Kilic, C. Akbay, G. Yildiz Tiryaki
doaj +1 more source
ABSTRACT The significance of fostering an internal corporate social responsibility (ICSR) plan to advance employee well‐being is not fully understood. This article explores employee well‐being from a positive balance perspective, combining the strategic approach to Internal Corporate Social Responsibility with the Theory of subjective well‐being ...
Teresa C. Herrador‐Alcaide +3 more
wiley +1 more source
Learning a Mixture of Two Multinomial Logits
The classical Multinomial Logit (MNL) is a behavioral model for user choice. In this model, a user is offered a slate of choices (a subset of a finite universe of 𝑛n items), and selects exactly one item from the slate, each with probability proportional to its (positive) weight. Given a set of observed slates and choices, the likelihood-maximizing item
Flavio Chierichetti +2 more
openaire +2 more sources

