A Challenge of Macro-Meso-Micro Analysis Impacts on Multiracial Nationality Decision Making :Multiracial Thai-Japanese in Bangkok

Nationality decision making could impact immensely to country structural, society issues, and future population. Exploring the factors and model prediction could dramatical give benefits to Thailand-Japan or as a reference to other countries toward possibility of multiracial nationality decision making, policy approach to future population and international labor management. The case study of Thai-Japanese multiracial nationality decision making could crucial explain to 4 scenarioses under developing and developed country status contexts. The objectives in this exploratory basic factors research are (1) To study the possibility factors of multiracial decision making (2) To adjust the factors impact on multiracial decision making into a model prediction (3) To assess a model in separation of developing and developed country context toward multiracial decision making. This research conduted N=685 of multinaitonality Thai-Japanese in Bangkok (Thailand) under criteria control throught statistic processes requirement, questionnaire survey conducted in purposive sampling via online at Bangkok as the biggest majority province of Japanese migrant in Thailand (Thailand-Japan embassy,2019). PLS-SEM was considered to assess a formative measurement from lower to higher order and mediation model of macro, meso, and micro levels by using SMART-PLS 3.0. The results indicate that Thailand macro level should concern about “Political and governance”, and “Hospital and wellness” factors, Japan macro level should consider to “Economic”, and “Working environment” factors. Also, Thailand meso level have more issue on development factors than Japan, afterward meso factor as an individual background and experience reports that education and passport competency support to multiracial nationality decision making to both Thailand and Japan. As a result, Thailand macro, meso, and micro structure presents to the unrelevance between macro, meso, and micro which causes to unsupport of nationality decision making meanwhile Japan has a potential to escalate a policy toward macro and meso in better positive way with a significant support between macro, meso, and micro structure both direct and indirect to multiracial natonality decision making.

Impact of Quality Management on Business Performance of Manufacturing Firms: The Moderated Effect of Industry 4.0

Purpose: The research aims to investigate the individual quality management (QM) factors impact on business performance in manufacturing firms. We then assess their influence and look at how industry 4.0 affects business performance directly. Furthermore, the study will demonstrate the moderate effect of industry 4.0 on the interaction between QM and business performance. Methodology/Approach: The authors used two methodologies. The first is qualitative methods, by interviewing experts to develop a realistically appropriate model. The second is quantitative methods, by carrying out the survey and getting 84 observations. This research used the multivariate data analysis technique PLS-SEM to evaluate three measurement models: formative measurement model, reflective measurement model, and structural model. Findings: The QM was operationalised as a multi–dimensional construct. According to the findings, these individual QM factors significantly affect the organisation’s performance, including customer satisfaction, employee satisfaction and quality performance. Besides, QM and Industry 4.0 have directly impact on performance. The study also shows that industry 4.0 has a positive moderating role in the relationship between QM and business performance. Research Limitation/Implication: The survey was only done in emerging countries and the sample size is limited. There are other QM and business performance measurement parameters that have not yet to be discussed. Originality/Value of paper: The study contributes to the QM literature by building a business quality model, in which the role of Industry 4.0 was explored.

Validating a model for indicating the professionalisation of social work in China

Summary The social work profession has developed at an unprecedented rate in the past decade in China. This article addresses the much-debated question of whether the international standards of social work can be applied in the Chinese context. Employing Weiss-Gal and Welbourne’s conceptual framework of the professionalisation of social work, this study aimed to identify validated indicators to define social work professionalisation in China. A questionnaire with 11 indicators was designed, and responses were received from 748 social workers in Guangzhou. Formative measurement was adopted as an analytic strategy. Findings Five of the 11 indicators were validated: perception of public recognition, perceived adequacy of the knowledge base, involvement in professional organisations, congruence with ethical standards, and perception of professional autonomy. Contrarily, six indicators had no significant impact on social work professionalisation in China: public recognition in terms of qualification levels, professional education, satisfaction with professional organisations, monopoly (self-perception and entrance criteria) and prestige and remuneration. Applications This study extends the application of Weiss-Gal and Welbourne’s conceptual framework to China. Utilisation of this framework suggests that social work professionalisation in China may diverge from international standards in social work, while the professionalisation measures for social work implemented by the Chinese governments may be ineffective. In particular, this study highlights the continuing challenges for the development of social work in China and provides evidence of the need to strengthen the professional power of Chinese social work.

Crossing the seven Cs of internal consistency: Assessing the reliability of formative instruments

Evaluating the reliability of measurement instruments is common practice in organizational psychology. When measurement proceeds using composites of multiple indicators, reliability is often examined with internal consistency estimates. This is common practice for both measurement instruments with a reflective measurement model, where a latent psychological construct is assumed to cause the item scores, and with a formative measurement model, where the composite score defines the construct. In the latter case, however, internal consistency indices such as Coefficient Alpha or Omega are not informative about reliability. In this paper, we review the assumption of reflective measurement and discuss why internal consistency estimates assume this model. We then provide an illustration of a checklist (originally proposed by Jarvis et al., 2003) intended to aid researchers, reviewers and editors in recognizing reflective measurement. Finally, the paper describes how researchers can estimate the reliability of instruments that use formative items. With these contributions, the paper aims to promote awareness of measurement assumptions when estimating reliability, and to provide tailored alternatives for assessing the reliability of formative instruments.

Evaluation of Formative Measurement Models

PLS-SEM is the preferred approach when formatively specified constructs are included in the PLS path model. In this chapter, we discuss the key steps for evaluating formative measurement models. These include the assessment of (1) convergent validity, (2) indicator collinearity, and (3) statistical significance and relevance of the indicator weights. We introduce key criteria and their thresholds and illustrate their use with an extended version of the corporate reputation model estimated with SEMinR.

ASSESSING THE FACTORS CAUSING PROJECT COMPLETION DELAYS IN THE CONSTRUCTION SECTOR OF OMAN USING SEM-PLS

Purpose: The objectives of the study were to investigate the causes of the delays to analyze the factors causing the construction delay in Oman and to investigate the effects of such delays. Design/methodology/approach: To carry out this study 210 samples were collected through a well-defined questionnaire from the construction stakeholders viz. the consultants, contractors, and the clients who were selected on a random sampling basis. Smart PLS for Structural Equation Modeling (SEM) technique was used to analyze the data to obtain the formative measurement models, the structured model, and the goodness of fit. Findings: The results of the study reveal that the client-related factors, equipment-related factors, and material related factors have a significant impact on the completion delay in construction projects. The findings of the study also revealed that the Client related factors were – Delay in providing services, Delayed decision-making process, Allocation of insufficient time. Equipment related factors were – Existing low productive equipment, Unskillful Equipment operator, Breakdown of equipment and Outdated equipment; Material related factors were – Delay in supply of raw materials, Non-availability of materials, Change of materials during construction, Non-availability of accessories and Damaged materials. Research limitations/Implications: The present study covers the stakeholders of the construction projects from selected regions only. The future studies can be extended to other projects and other regions as well. Social implications: The study suggested that the clients’ cooperation especially in providing the contractors with the necessary equipment, facilities, and sufficient time will avoid such delays of the construction projects in Oman. Originality/Value: Only very few have examined the completion delay of the construction projects in Oman using SEM-PLS and it is a first-hand study of its kind and the results will be useful to the stakeholders.

Formative Measurement Scale Development: An Example Using Generalized Structured Component Analysis

Unlike reflective measurement scales, the steps for development of formative measurement scales tend to behighly subjective and involve mostly the judgment of the researcher. Formative scales have been criticized for this reason.This paper extends Christophersen and Konradt’s (2008) method of joint development of a formative and reflective scale toassess mutual validity of each scale. We utilize a second order method to reduce measurement error in the formative scaleas suggested by Edwards (2011), and test the efficacy of Generalized Structured Component Analysis (GeSCA) for thispurpose. For illustrative purposes, we utilize a sample of formative and reflective job satisfaction survey data both to testour joint formative/reflective scale development technique and to assess which formative aspects of job satisfaction alignwith commonly used reflective job satisfaction scales.