The study underscores the paramount importance of meticulous population selection and sampling strategy in research design. Providing researchers with a comprehensive overview of population considerations and sampling methods, it offers a valuable resource for enhancing the robustness and applicability of research outcomes across diverse disciplines. Researchers discuss the unit of analysis, unit of observation, population of interest, target population, sampling framework, and sampling methods in light of employee work engagement in Malaysia. Simple random sampling, stratified random sampling, systematic random sampling, cluster sampling (single-stage, double-stage, and multi-stage), phase sampling (two-phase and multiphase), convenience sampling, purposive sampling, quota sampling, snowball sampling, and volunteer sampling have been discussed for selecting the appropriate sampling method for the research titled Revisiting of JD-R Theory and the effect of leadership style and meaningful work on employee work engagement among the full-time operational employee in Malaysia. According to the discussion on population and sampling methods, researchers use non-probability sampling, specifically convenience sampling techniques, based on the accessibility and availability of the full-time operational employees of successful organisations in Malaysia. Researchers and practitioners alike can leverage the insights presented in this review to make informed decisions about population selection and sampling methods, ultimately contributing to the advancement of credible and impactful research.

The current study aims to examine the symmetric and asymmetric effects of climate change (CC) on rice productivity (RP) in Malaysia. The Autoregressive-Distributed Lag (ARDL) and Non-linear Autoregressive Distributed Lag (NARDL) models were employed in this study. Time series data from 1980 to 2019 were collected from the World Bank and the Department of Statistics, Malaysia. The estimated results are also validated using Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegration Regression (CCR). The findings of symmetric ARDL show that rainfall and cultivated area have significant and advantageous effects on rice output. The NARDL-bound test outcomes display that climate change has an asymmetrical long-run impact on rice productivity. Climate change has had varying degrees of positive and negative impacts on rice productivity in Malaysia. Positive changes in temperature and rainfall have a substantial and destructive impact on RP. At the same time, negative variations in temperature and rainfall have a substantial and positive impact on rice production in the Malaysian agriculture sector. Changes in cultivated areas, both positive and negative, have a long-term optimistic impact on rice output. Additionally, we discovered that only temperature affects rice output in both directions. Malaysian policymakers must understand the symmetric and asymmetric effects of CC on RP and agricultural policies that will promote sustainable agricultural development and food security.

Structural equation modeling (SEM) depicts one of the most salient research methods across a variety of disciplines, including educational management. Recent research advocates the use of partial least squares structural equation modeling (PLS-SEM) as an attractive tool in action research. The purpose of this paper is to systematically examine how PLS-SEM has been applied in action research with the aim of investigating the effect of teacher’s leadership styles (transformational and transaction) and student’s motivational factors (intrinsic and extrinsic) on student engagement for implementation of Communicative Language Teaching (CLT) in classrooms as well as explore the mediating role of motivational factors of student between the relationship of teacher’s leadership styles and student engagement. A cross-sectional survey design was used for the study featuring a self-administrated questionnaire among the students of some selected schools in Bangladesh. The transactional leadership style of teachers influences student engagement, intrinsic, and extrinsic motivation while the transformational leadership style of teachers influences the intrinsic and extrinsic motivation of the student. Both motivational factors mediated the relationship between leadership styles and student engagement. This study contributes to the literature by providing teachers with the updated guidelines for action research by using PLS-SEM. The study also suggests the way for increasing student engagement for CLT implementation in classrooms.

The utilisation of theory, the conceptual framework, the theoretical framework, and the research framework is frequently required to be clearly articulated in academic studies. However, these terms are often used interchangeably without a clear understanding of their distinctions. This scenario is complicated because the terms theoretical, conceptual, and research frameworks are employed differently in different research approaches. This article aims to define these concepts and explain their usage with two research approaches: the objectivist deductive approach, which goes from theory to data, and the subjectivist inductive approach, which goes from data to theory, together with a research framework. The theoretical framework provides the foundation of established theories and principles underpinning the study, offering a broad lens through which the research phenomenon is understood. The conceptual framework, derived from the theoretical framework, refines the understanding by delineating specific constructs and their interrelationships, serving as a guide to address the research objectives. Meanwhile, the research framework translates these constructs into operationalised variables and methodologies, facilitating the systematic collection and analysis of data. Together, these frameworks ensure the study's alignment with established knowledge while enabling methodological rigour and clarity in addressing the research problem. Furthermore, the integration of research, conceptual, and theoretical frameworks not only guides the logical flow of a study and strengthens its academic foundation but also enhances its potential to generate meaningful insights across diverse domains, including business innovation and strategy, international business and marketing, technology and operations management, corporate governance and ethics, human resource and project management, and entrepreneurship.

The current study aims to extend the literature by examining the moderating effect of leadership styles on the relationship between motivational factors and employee engagement in the context of the readymade garments (RMG) industry of Bangladeshwhere both leadership styles, motivational factors and employee engagement are known to be at an unsatisfactory level. The study used Herzberg’s two-factor theory and the full range leadership model. Quantitative technique had been used and the hypotheses were investigated through path coefficient analysis of 387 employees at the RMG industry of Bangladesh. The findings show thatextrinsic motivational factors, intrinsic motivational factors, transactional leadership style and transformational leadership stylehave significant effect on employee engagement as well as transactional leadership style moderates the relationship between intrinsic motivational factors and employee engagement. The paper discusses the implications of the findings and provides constructive suggestions on how to use motivational factors and leadership styles to positively impact employee engagement. The conclusionsrecommend that the industry focuses on leadership styles and motivational factors in order to fulfil more ambitious targets and sustain business for the long term.