Results 61 to 70 of about 7,687 (217)
ABSTRACT Marketing scholars and practitioners are paying increasing attention to social media as a crucial tool for communicating firms' sustainable activities to consumers. This study examines how consumers perceive and engage with social media green marketing, and how their engagement influences their intentions to purchase green products and brands,
So‐Young Jung, Su‐Yol Lee
wiley +1 more source
A guided search non-dominated sorting genetic algorithm for the multi-objective university course timetabling problem [PDF]
Copyright @ Springer-Verlag Berlin Heidelberg 2011.The university course timetabling problem is a typical combinatorial optimization problem. This paper tackles the multi-objective university course timetabling problem (MOUCTP) and proposes a guided ...
D. Datta +10 more
core +1 more source
The university course timetable problem (UCTP) is typically a combinatorial optimization problem. Manually achieving a useful timetable requires many days of effort, and the results are still unsatisfactory. unsatisfactory. Various states of art methods (
Zahid Iqbal +3 more
doaj +1 more source
ABSTRACT New ventures are expected to continuously add new jobs and managerial positions to meet the expanding demands of scaling. However, the rapid pace and inherent uncertainty of scaling often lead founders of new ventures to rely on heuristics when making these critical hiring and managerial appointment decisions.
Mohamed Genedy +3 more
wiley +1 more source
How to Conduct a Multi‐Domain Systematic (Literature) Review? Guidelines Using The Lotus Protocol
ABSTRACT Complex challenges increasingly demand multidisciplinary research across intersecting knowledge domains. However, existing systematic (literature) review protocols offer limited guidance and tend to confine scholars to single‐domain or single‐intersection reviews.
Bart J. A. van Bueren +6 more
wiley +1 more source
Hyper-heuristics are aimed at providing a generalized solution to optimization problems rather than producing the best result for one or more problem instances.
Nelishia Pillay
doaj
Distributed hyper-heuristics for real parameter optimization [PDF]
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance than any of the original heuristics. While HHs lend themselves naturally for distributed deployment, relatively little attention has been paid so far on the design and evaluation
Biazzini, Marco +3 more
openaire +2 more sources
Dynamic Evolution and Transformative Trends in the Consumer Market: A Technology Paradox Perspective
ABSTRACT The consumer market is defined by tensions arising from the clash between technological advancement and consumer psychology. Current research lacks a unifying framework to explain these contradictions. Addressing this gap, we introduce a conceptual model based on technology paradox theory, which maps the dynamic process from antecedents ...
Chanaka Jayawardhena +3 more
wiley +1 more source
A modified choice function hyper-heuristic controlling unary and binary operators [PDF]
Hyper-heuristics are a class of high-level search methodologies which operate on a search space of low-level heuristics or components, rather than on solutions directly.
Burke, Edmund K. +2 more
core +1 more source
Policy Capacity Under Decentralization: Kindergarten Education Reforms in the Philippines
ABSTRACT The paper examines the relationship between policy capacity and policy effectiveness in decentralized governance setups. It challenges the conventional view that policy functions should only be decentralized when requisite capacities already exist at lower levels of government. Instead, the paper proposes that capacity can follow function ‐ as
Kidjie Ian Saguin, M. Ramesh
wiley +1 more source

