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Record W4415210040 · doi:10.1177/23294884251377038

Communication of Mission, Vision, and Goals: The Key to Successful Change Management in Changing Times

2025· article· en· W4415210040 on OpenAlexaffabout
Eli Sopow, Maria Yuri Sushkova

Bibliographic record

VenueInternational Journal of Business Communication · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Strategy and Culture
Canadian institutionsUniversity Canada West
Fundersnot available
KeywordsVariance (accounting)Government (linguistics)Explanatory powerService (business)Change management (ITSM)Common-method varianceKey (lock)Regression analysisSurvey data collection

Abstract

fetched live from OpenAlex

The purpose of this study is to present new empirical evidence that communication of an organization’s mission, vision, and goals (MVG) is the strongest single predictor of successful change management during current environments of uncertainty. This study provides evidence from the 2022 to 2023 Canadian national Public Service Employees Survey (PSES) that successful communication of an organization’s mission, vision, and goals is the strongest statistically validated explanatory power of successful change among many commonly recommended change management actions with a direct benefit to addressing psychological safety and readiness for change. This paper applies a quantitative approach and analysis to selected scaled-answer data derived from the overall 2022 to 2023 Public Service Employee Survey of Canada (PSES, N = 189,584 employees within 90 federal government departments and agencies spread across Canada). The Statistical Product and Service Solutions (SPSS) software is used in applying linear regression analysis including confirmation of linearity, independence of errors, tests for collinearity, homoscedasticity, normality of residuals, correlations, and application of control variables. The research model explains that 87.1% of the variance in change management effectiveness is attributed to four factors. The most significant factor is effective communication of mission, vision, and goals ( r = .887, β = .507, p < .001, 53.43% unique contribution); followed by support for high service levels ( r = .834, β = .298, p < .008, 18.50% contribution); work contributes to goals ( r = . 466, β = .254, p < .007, 13.52% unique contribution), and having clear objectives ( r = .785, β = .182, p < .025, 6.86% unique contribution). The evidence also shows that while the strongest ratings of successful change are aligned with the above ratings of communicating a department’s mission, vision, and goals the reverse is true: Departments with below-average ratings for change management also show below-average ratings for communicating its mission, vision, values. The ability of organizations to adapt is critical in a time of rapid external and internal environmental change. This is especially true in national government departments where changing environments can impact such major factors as technology, healthcare, public safety, socio-economic conditions, the natural environment, and international relations. There is robust literature on many recommended processes and competencies linked to change management. However, this research presents new evidence from an analysis of a national government employee survey that the strongest predictive factor on well managed change is the effective communication of a workplace mission, vision, and goals. Inherent within this factor’s benefit is its impact on reducing the constituent parts of fear of change, namely a sense of powerlessness and the unknown. This paper’s findings present many direct social implications. For a start, the Canadian federal government directly touches the daily lives of over 40 million people be it through the provision of health care, employment, economic and immigration policies, public safety, international affairs, taxation, or pension programs. Federal governments are empowered and expected by society to offer safety, security, socio-economic advantages, trusted performance, fairness, and accountability. Similarly, private corporations and organizations are influenced by evolving regulatory and administrative frameworks, including Diversity, Equity, and Inclusion (DEI), Environmental, Social, and Governance (ESG) considerations as well as Corporate Social Responsibility (CSR) pressures. These demands, driven by employees, shareholders, society, and governments, emphasize the growing interconnection of organizational accountability and societal expectations. This paper proves new statistically grounded evidence that for organizational change to succeed, employees must first understand why and how an organization’s mission, vision, and goals play a critical role in change and specifically how the change will improve existing services, how work directly contributes to the goals, and is training commensurate with new needs. A failure to successfully achieve these results shows a concomitant lessening of change management success and may be an explanatory factor in high rates of change management failure as well as the presence of fear of change.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.277
Teacher spread0.262 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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