Evidence map›Paper›PMID 40493573›Full record

ArticlePloS one2025

Strategic planning as a catalyst for sustainability: A mediated model of strategic intent and formulation in manufacturing SMEs.

Ahmed Muneeb Mehta, Syeeduz Zafar Qazi, Rasheedul Haque, Abdul Rahman Bin S Senathirajah, Waqas Baig, Rabia Sajjad, Dr Abdul Rauf

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ahmed Muneeb MehtaHailey College of Banking and Finance, University of the Punjab, Lahore, Pakistan.ORCID https://orcid.org/0000-0001-6333-9077
Syeeduz Zafar QaziUniversity of Business and Technology, Jeddah, Saudi Arabia.
Rasheedul HaqueFaculty of Business, Hospitality, Accounting and Finance (FBHAF), MAHSA University, Jenjarom, Malaysia.
Abdul Rahman Bin S SenathirajahFaculty of Business and Communications, INTI International University, Nilai, Malaysia.
Waqas BaigHailey College of Banking and Finance, University of the Punjab, Lahore, Pakistan.
Rabia SajjadHailey College of Banking and Finance, University of the Punjab, Lahore, Pakistan.
Dr Abdul RaufWittenborg University of Applied Sciences, Netherlands.ORCID https://orcid.org/0000-0003-4269-7275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the influence of Systematic Strategic Planning (SSP) on the Sustainable Performance (SP) of manufacturing Small and Medium Enterprises (SMEs) in Pakistan. Despite SMEs' vital contribution to economic growth, there is limited empirical research on how strategic planning enhances sustainable performance in SMEs operating in emerging economies facing political and economic instability. Drawing on the Triple Bottom Line (TBL) and Resource-Based View (RBV) theories, this study investigates the mediating roles of Strategic Intent (SI) and Strategic Formulation (SF) in the SSP-SP relationship. A quantitative research design was employed, and data were collected through structured questionnaires distributed to senior executives and decision-makers of manufacturing SMEs. A total of 410 valid responses were received. Structural Equation Modeling (SEM) was applied using AMOS 28 software to analyze the data and test the hypothesized relationships. The results demonstrate that SSP has a significant direct effect on SP and an indirect effect through SI and SF. Specifically, the components of SSP-strategic analysis, strategy creation, strategy execution, and monitoring and evaluation-enhance SMEs' economic, environmental, and social performance. The study highlights that adopting systematic strategic planning practices enables SMEs to navigate complex and uncertain environments, achieve competitive advantage, and contribute to sustainable development goals. This research fills a critical gap in the literature by focusing on manufacturing SMEs in Pakistan, an under-researched context in the sustainability and strategic management fields. It offers practical insights for SME managers and policymakers to develop and implement comprehensive strategic planning frameworks that foster sustainability. The study also provides theoretical contributions by integrating SI and SF as key mediators within the TBL and RBV theoretical frameworks.

Indexed as

Manufacturing IndustryStrategic PlanningSustainable DevelopmentHumansPakistanSurveys and Questionnaires

Identifiers

PMID40493573
PMCPMC12151430

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.