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Record W2013384181 · doi:10.1108/er-01-2012-0009

Contingency, fit and flexibility of HRM in nonprofit organizations

2013· article· en· W2013384181 on OpenAlex

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

VenueEmployee Relations · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsLakehead University
Fundersnot available
KeywordsFlexibility (engineering)Contingency theoryContingencyBusinessEmpirical researchKnowledge managementDimension (graph theory)Process (computing)Set (abstract data type)Process managementMarketingManagementComputer scienceEconomics

Abstract

fetched live from OpenAlex

Purpose The change in the environment of nonprofit organizations (NPOs) has accentuated the need for managers to understand the relationship between strategy, HRM and organizational effectiveness. The purpose of this paper is to examine contingencies that underlie strategy, HRM and the dimensions of fit and flexibility in the actual HRM practices implemented by two study organizations that have deployed HRM in strategic change. Design/methodology/approach The research used two case studies of NPOs who reported that they adopted HR practices as an integral component of their adaptive strategy to achieve a fit. Thus, the research adopted purposive sampling to determine the cases that are appropriate to examine the research questions. Findings The findings provide evidence of horizontal and vertical fit and flexibility‐focused HRM practices designed to provide strategic alternatives. The research raises questions about how well NPOs’ managers understand contingency drivers of strategy, HRM practices and the direction of HRM in NPOs. A number of factors contributed to promote fit, flexibility and HR practices. First, the emphasis on HRM as a critical priority in strategy by senior management. Second, factor that may have contributed to fit and flexibility dimension is the use of professional managers in the NPOs. The case organizations involved either internal or external consultants with HRM expertise in strategic planning process. Finally, organisational structure that facilitated communication channels within both organizations. Both organizations emphasized internal communications as a way of engaging employees. Research limitations/implications The findings set the groundwork for major research which could extend findings from previous empirical research, that strategy of NPOs is aligned with the level of HR practices in some functions such as training and not aligned in others practices such as recruitment. Practice implications For nonprofit managers, this research reinforced the importance of senior management commitment and HR expertise to develop and implement HR practices that are aligned with current strategy and the need to develop employees’ skills to facilitate flexibility to adapt to change in the environment. It is imperative for the HR practices of NPOs not only to achieve horizontal and vertical fit, but also to build in flexibility the organization requires to develop, deploy and sustain employee skills and behaviour needed to cope with the competitive environment and to help with the achievement of organisational goals. Originality/value The important point of this research is that it extends our understanding of fit and flexibility in NPOs. It provides an example of how two NPOs adopted and emphasized SHRM as a critical component of their strategy.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.314
Teacher spread0.283 · 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