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Record W2336799315 · doi:10.20472/iac.2016.021.025

INFLUENCES ON EMPLOYEE REWARD STRATEGIES IN INTERNATIONAL ORGANIZATIONS

2016· preprint· en· W2336799315 on OpenAlex
Carolan McLarney, James T. Hansen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Development and Management Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMaslow's hierarchy of needsHofstede's cultural dimensions theoryUncertainty avoidanceIndividualismPsychologySocial psychologyConformityMarketingEmployee motivationCollectivismPublic relationsBusinessPolitical science

Abstract

fetched live from OpenAlex

It is of great importance that organizations seek to have a stable, productive, and motivated workforce. The primary way to accomplish this is through effective reward strategies to compensate employees for their efforts. The challenge for the global organization is to ensure that the rewards offered provide motivation for employees and generate workplace commitment, regardless of location. Three notable influences on reward strategies were summarized, the first being Maslow's Hierarchy of Needs. Maslow stated that all people have the same needs and are motivated to fulfill these needs as they increase in complexity (Maslow, 1943, p. 370). The second influence was Herzberg's two factor theory, which identified two factors that provide motivation for employees, motivators (job growth, advancement) and hygiene factors (policies, compensation) (Herzberg, 1968, p. 56). The final influence studied was culture, which emphasized Hofstede's cultural dimensions: power distance, individualism versus collectivism, masculinity versus femininity, uncertainty avoidance, long term orientation, and indulgence versus restraint (Hofstede, 1994, pp. 2-5; Hofstede, Hofstede, & Minkov, 2010, p. 281). The evidence showed that using these influences as indicators along with other factors noted in research, such as organizational goals and demographic employee data, will enable a company to make a more balanced decision with respect to international employee reward strategies. Thus, a variety of factors must be considered when creating or revising reward strategies to ensure that irrespective of location, employees will be motivated by the rewards. Three examples were noted of companies who have faced the challenge of implementing an international reward strategy. Both Colgate-Palmolive and RBC were found to have completed analysis with their reward strategies to ensure their international policies were motivating for staff. Lincoln-Electric was identified as a company who failed in their international reward strategy; they incorrectly assumed the rewards that worked in the U.S. would work overseas, which contributed to losses in their European division and required drastic efforts to correct (Hastings, 1999, p. 171).To support leaders in these decisions, a model for assessing reward strategies in the international environment was presented and discussed. Leaders will find the model useful, as it consolidates the key influences that must be considered when reviewing international reward strategies and can be customized to include additional factors as required.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.254
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it