Sustainable strategic planning and management influence on sustainable performance: findings from halal culinary MSMEs in Southeast Asia

IF 1.8 Q3 MANAGEMENT Journal of Modelling in Management Pub Date : 2024-06-04 DOI:10.1108/jm2-12-2023-0324

Rini Kurnia Sari, Muhammad Alfarizi, Mohamed Syazwan Ab Talib

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Abstract

Purpose

This study aims to evaluate the impact of sustainable strategic planning and management (SSPM) on sustainable performance (ecological, social and economic) among micro, small and medium enterprises (MSME) in the culinary sector in Southeast Asia (SEA).

Design/methodology/approach

This study used a quantitative approach surveying 300 halal-certified MSMS culinary businesses in the SEA region. Data were gathered using an online survey platform and analyzed using the partial least squares structural equation modeling technique.

Findings

Green management (GRM), digital transformation management (DTM) and Halal Business Management (HBM) exert a significant influence on SSPM. Furthermore, SSPM positively influences the sampled halal culinary MSMEs’ ecological, social and economic performances in SEA. The study also reveals that GRM, DTM and HBM positively influence Islamic ethics compliance and good governance.

Research limitations/implications

This study sheds light on the often-ignored MSME business in the halal culinary sector in SEA. Examining sustainable and strategic planning synergy strengthens the development of a comprehensive framework for SSPM and could encourage more MSMEs to practice sustainable business operations. Moreover, the research also underlines the urgent need to harmonize halal standards in the SEA region. The approach would intensify multilateral support for economic growth and halal trade between SEA countries and beyond.

Originality/value

This study addresses the research gap in the strategic and sustainable management of halal culinary MSMEs within the developing and vast SEA economic region. This research is among the few, if not the first, that combines the GRM, DTM and HBM influence on SSPM and examines the impact on sustainable, ethical and good governance performances. The insights derived from this study contribute to formulating robust, sustainable policies, fostering avenues for sustainable initiatives and enhancing regional and global cooperation for a sustainable future.

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可持续战略规划和管理对可持续绩效的影响：东南亚清真烹饪中小微企业的调查结果

目的本研究旨在评估可持续战略规划和管理（SSPM）对东南亚（SEA）烹饪行业中小微型企业（MSME）可持续绩效（生态、社会和经济）的影响。研究结果绿色管理（GRM）、数字化转型管理（DTM）和清真企业管理（HBM）对 SSPM 有显著影响。此外，SSPM 对抽样的清真烹饪中小型企业在东南亚地区的生态、社会和经济表现产生了积极影响。本研究还揭示了全球资源管理（GRM）、发展管理（DTM）和经营管理（HBM）对遵守伊斯兰道德规范和良好治理的积极影响。对可持续发展和战略规划协同作用的研究加强了可持续发展战略管理综合框架的发展，并可鼓励更多中小微企业实践可持续发展的商业运作。此外，研究还强调了统一东南亚地区清真标准的迫切需要。这项研究填补了在发展中和广阔的东南亚经济区域内清真烹饪中小微企业战略和可持续管理方面的研究空白。本研究是为数不多的研究之一，甚至是第一项研究，它结合了全球资源管理（GRM）、发展管理（DTM）和经营管理（HBM）对可持续发展管理的影响，并研究了其对可持续发展、道德和良好治理绩效的影响。本研究得出的见解有助于制定稳健、可持续的政策，促进可持续倡议的途径，并加强地区和全球合作，以实现可持续的未来。

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来源期刊

Journal of Modelling in Management MANAGEMENT-

CiteScore

5.50

自引率

12.50%

发文量

期刊介绍： Journal of Modelling in Management (JM2) provides a forum for academics and researchers with a strong interest in business and management modelling. The journal analyses the conceptual antecedents and theoretical underpinnings leading to research modelling processes which derive useful consequences in terms of management science, business and management implementation and applications. JM2 is focused on the utilization of management data, which is amenable to research modelling processes, and welcomes academic papers that not only encompass the whole research process (from conceptualization to managerial implications) but also make explicit the individual links between ''antecedents and modelling'' (how to tackle certain problems) and ''modelling and consequences'' (how to apply the models and draw appropriate conclusions). The journal is particularly interested in innovative methodological and statistical modelling processes and those models that result in clear and justified managerial decisions. JM2 specifically promotes and supports research writing, that engages in an academically rigorous manner, in areas related to research modelling such as: A priori theorizing conceptual models, Artificial intelligence, machine learning, Association rule mining, clustering, feature selection, Business analytics: Descriptive, Predictive, and Prescriptive Analytics, Causal analytics: structural equation modeling, partial least squares modeling, Computable general equilibrium models, Computer-based models, Data mining, data analytics with big data, Decision support systems and business intelligence, Econometric models, Fuzzy logic modeling, Generalized linear models, Multi-attribute decision-making models, Non-linear models, Optimization, Simulation models, Statistical decision models, Statistical inference making and probabilistic modeling, Text mining, web mining, and visual analytics, Uncertainty-based reasoning models.