Results 1 to 10 of about 42,035 (259)

Reward Design for Customer Referral Programs: Reward–Product Congruence Effect and Gender Difference

open access: yesFrontiers in Psychology, 2021
Referral reward design is the core component of customer referral programs, which are often applied to recruit new customers. This research investigates the effectiveness of utilitarian vs. hedonic rewards in terms of referral generation.
Hai-hua Hu, Xin-Mu Zhang
doaj   +1 more source

Reward timing matters in motor learning

open access: yesiScience, 2022
Summary: Reward timing, that is, the delay after which reward is delivered following an action is known to strongly influence reinforcement learning. Here, we asked if reward timing could also modulate how people learn and consolidate new motor skills ...
Pierre Vassiliadis   +3 more
doaj   +1 more source

Programming by Rewards

open access: yesCoRR, 2020
We formalize and study ``programming by rewards'' (PBR), a new approach for specifying and synthesizing subroutines for optimizing some quantitative metric such as performance, resource utilization, or correctness over a benchmark. A PBR specification consists of (1) input features $x$, and (2) a reward function $r$, modeled as a black-box component ...
Nagarajan Natarajan   +6 more
openaire   +2 more sources

Mediation Role of Organizational Commitments on The Influence of Rewards on Employee Turnover Intention

open access: yesMajalah Ilmiah Bijak, 2021
This research aims to analyze the mediating role of Organizational Commitment (M) on the effect of Reward (X) on Employee Turnover Intention (Y) using quantitative research. Data were obtained through interviews and questionnaires.
Abdul Gofur   +2 more
doaj   +1 more source

DYNAMIC PROGRAMMING ON RECURSIVE REWARD SYSTEMS [PDF]

open access: yesBulletin of Mathematical Statistics, 1976
Dynamic programming (DP) has been introduced by R. Bellman [2] as an important technique to solve non-linear programming problems in which a sequence of decisions has to be chosen in an optimal manner. Bellman, in his book, proposed "Principle of Optimality" to show that th e determination of an optimal policy can be reduced to the solution of an ...
Furukawa, Nagata, Iwamoto, Seiichi
openaire   +2 more sources

Genetic Programming for Reward Function Search [PDF]

open access: yesIEEE Transactions on Autonomous Mental Development, 2010
Reward functions in reinforcement learning have largely been assumed given as part of the problem being solved by the agent. However, the psychological notion of intrinsic motivation has recently inspired inquiry into whether there exist alternate reward functions that enable an agent to learn a task more easily than the natural task-based reward ...
Scott Niekum   +2 more
openaire   +1 more source

Burnout and associated occupational stresses among Chinese nurses: A cross-sectional study in three hospitals

open access: yesPLoS ONE, 2020
Background There is literature scarcity relating to burnout and other work stresses in relation to Chinese nursing-workforce performance. Objectives To assess the relationship between self-esteem versus burnout; and effort-reward ratio versus ...
Yasira Kabakleh   +7 more
doaj   +2 more sources

Mechanisms for Incentivizing Top Managers of the Company in the Long Term

open access: yesУправленческое консультирование, 2021
Motivating and rewarding company employees requires constant development and improvement the remuneration of the top management of the company is especially difficult.
I. I. Ordinartsev
doaj   +1 more source

Are Customer Reward Programs Really Rewarding?

open access: yesAssociation of Marketing Theory and Practice Proceedings, 2019
The concept of a customer loyalty program can be traced back over 300 years when merchants would give customers wooden coins in return for their patronage. Two points are clear: Customer reward loyalty programs are prevalent and costly aspects of most hospitality firms’ marketing strategy.
McCall, Michael, McMahon, Dave
openaire   +1 more source

Note—A Note on Dynamic Programming with Unbounded Rewards [PDF]

open access: yesManagement Science, 1978
In a recent paper, Lippman presents sufficient conditions for Denardo's N-stage contraction in discounted semi-Markov decision processes with unbounded rewards. In this note it is demonstrated that Lippman's conditions may be replaced by weaker conditions which even imply 1-stage contraction. The verification of the conditions of this note is somewhat
J. A. E. E. van Nunen, J. Wessels
openaire   +2 more sources

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