The purpose of this study is to analyze the assessment of Human Resources Development (HRD) Planning on the Government Organization Performance through Bureaucratic Reform Management. The Government Organization tasked with preparing public goods/services must be able to provide certainty of their performance capacity as an organization that is professionally organized and is non-excludability in providing an adequate level of service. This research is based on the performance of Government Organization that have not been maximized. The method used is the Second Order Structural Equation Modeling analysis method. The research results showed that HRD Planning had a significant influence on Organization performance through Bureaucratic Reform Management. Tests on the research model simultaneously proved that the model was fit with the fulfillment of all model fitting sizes indicated by the value of GFI = 0.925, CFI = 0.927, RMSEA = 0.075, and CMIN / DF = 1.995. The findings of this study prove that HRD Planning has a significant effect on Organization performance through Bureaucratic Reform Management. Based on these findings, the right strategy to strengthen Organization performance can be done by improving aspects of HRD Planning. Also, there is a need to pay attention to the management of strategic change by being more responsive and adaptive to environmental changes and HRD Planning.

Implementation of quality management is very important for hospitals to improve processes, solve problems, and reduce variations and errors in service, including through the implementation of popular Total Quality Management (TQM) and Six Sigma (SS) as new quality management strategies to increase profitability, effectiveness and efficiency of the organization's operations to meet customer’s needs. This study aims to develop an integrated hospital quality management model from the practice of TQM and SS to provide synergy in improving hospital performance. The study design was cross sectional through a survey using a questionnaire on 863 respondents, namely all employees ranging from doctors to administrative personnel at 8 hospitals. The TQM and SS practice integration model identified as “Quality Management Alliance Model (QMA)” consists of 6 variable constructs, namely: Management Practice (MP); TQM Infrastructure Practice (IPTQM); SS Infrastructure Practice (IPSS); Core Practice TQM (CPTQM); Core Practice SS (CPSS); and Hospital Performance (KRS) with 12 structural equations hypothesized. Data analysis are performed using Structural Equation Model through 2 tests, namely analysis of measurement models using confirmatory factor analysis (CFA) second order approach and structural model analysis. The results of the first order confirmatory factor analysis (CFA) analysis, after issuing invalid indicators (SLF≤0.5 and t≤1.96), obtained constructs of latent variables with models fit, valid, and reliable. Then in the second order CFA analysis on the overall model after being simplified through LVS (latent variable score) the study obtained construct model fit, valid and reliable. The results of the structural model analysis obtained a model fit with 11 structural equations that are positively and significantly related (t> 1.96). This study proves that the QMA model is feasible and can be applied to measure the implementation of hospital quality management. Hospital management is recommended to implement the QMA Model optimally to improve performance.

This research aims to analyze the impact of supply chain during the Covid-19 pandemic. The study examines the integration of trust with supply chain capability and application on supply chain performance. The novelty in this research is to find out the effects of supply chain applications on supply chain performance with supply chain capability as a mediator. The research location is in East Java while sampling from mini market in cities and regencies includes Surabaya, Malang, Jember, Sumenep, Madiun and Sidoarjo. The sample size in this study consists of 240 respondents. Respondent criteria are minimarket employees who have worked for at least two years. The technique for analyzing data uses the SEM-PLS program. The results indicate that trust suppliers influence supply chain performance meaning that supplier trust for raw material supply companies must be maintained and both parties must have a good relationship with evidence of commitment and mutual trust. Second, supply chain capability also influences supply chain performance and the ability of suppliers to buyers must be maintained. Third, the relationship between supply chain application variables and supply chain performance is also positive and significant. Therefore, cooperation that can be relied upon must still be maintained together. Fourth, there is the influence of supply chain application on supply chain capability, and based on the test results the effect is very dominant, so that the variable supply chain application is the superiority of the results of this study. Fifth, there is a positive and significant indirect effect of SCA variable on SCP through SCC as mediation.

The importance of CSR is admitted by the majority of researchers. However, its determinants or antecedents still has not been explicated, completely. In this paper we analyze the link be-tween sustainable human resource management and corporate social responsibility through the development of sustainable dynamic capabilities. The main objective is to dress a pathway for corporate social responsibility based on components of SHRM. An indirect effect is identi-fied on literature with further exploration of mediating and moderating effect between SHRM and CSR. Data are collected from 182 questionnaires addressed to stakeholders of family business on Saudi Arabia on different activity areas. Structural equation modelling is used for hypothesis testing. The results highlight that organizational learning capacity (OLC) moderate the effect of individual responsibility on employee development which means that the individual responsibility stimulate employee development and this effect is much more important if we develop an organizational learning capacity. Added to this, a mediating effect of resource interaction capability between well life balance and environment protection was confirmed. We identified roadmap to develop corporate social responsibility based on sustainable human resource management by the development of dynamic capabilities. This can stimulate an auto-evolution for human capital, organization and society.

Human resource management is the key component for every organization. The empowerment of human resource is a strategic decision which in return affects the organizational productivity. The purpose of the present study is to examine the impact of HR empowerment through information technology, cultural dimensions and organizational knowledge with their impact on Muhammadiyah higher education productivity in Indonesia. To address this objective, a questionnaire was developed as a core instrument to collect primary data from the employees of Muhammadiyah higher education. A final sample of 138 respondents was collected for applying the structural equation modelling (SEM) approach with the factor analyses. Additionally, validity of the questionnaire was observed through three measures; namely Cronbach’s alpha, average variance extracted and composite reliability. Findings through structural equation modelling approach specify that all three dimensions of HR empowerment have shown their positive and significant influences on Muhammadiyah higher education productivity. However, this study is limited by various perspective. First, data is collected from Indonesia through employees of Muhammadiyah higher education only with limited generalizability of the findings. Second, the study has not discussed the combine effects of human resource empowerment on the overall productivity of Muhammadiyah higher education but with individual dimensions like cultural, information technology and knowledge factors. The findings can be meaningful to boost the performance and productivity of higher education while understanding its structural relationship between human resource development.

In an operating business amidst fierce competition, the operational process needs to be developed and improved in order to reduce logistics costs which are hidden costs in all business activities. This study aimed to investigate guidelines for reducing logistics costs in the industrial business sector, and to develop a structural equations model. It was conducted quantitatively and qualitatively.

Tourism industry is one of the most important low carbon industries and it can provide good opportunities for developing countries to take advantage of their natural attractions such as historical monuments, culture, etc. to create value added. However, there are always some barriers in front of developing this industry and a good strategy could help it develop faster. There are different methods for strategic planning and SWOT matrix is one of the most popular one. In this paper, we present an empirical survey to find the most important and strategic items for developing tourism industry in Iran. The proposed study designed a questionnaire and distributed it among 384 tourists who were visiting Iran in a three months period of year 2011. The information gathered were analyzed using factor analysis and structural equation modeling. There are seven important factors involved in developing tourism industry. The first factor, price and having sufficient infrastructures, is the most important factor according to our survey representing 14.623 percents of the changes. The second factor is associated with political and international affairs, which represents 13.926 percents of the changes. The third factor is associated with culture and civilization attractiveness representing 9.342 percent of changes on tourism. The fourth factor is natural attractiveness representing 6.691 percent of the changes. The fifth factor is related to economical factor representing 5.632, the sixth factor, human resources, represents 5.353 percent of the changes and finally the last factor is related to diversity of creatures, which represents 4.749. These factors include 60.3 percent of the success of tourism.

During the last decades, the importance of small firms as one of the main economical parts in each country has been proved. Considering to the resources limitation in one hand, and the competitive global market in the other hand, it is very important that firms can obtain sustainable competitive advantages (SCAs) to compete with other rivals. This paper, at the first step, tries to explore the potentially SCAs of Qom & apos; s small firms by using of Structural Equation Model (SEM). Then, the real current situation of firms in using these competitive advantages has been examined. The results tell that except firms & apos; location, other potentially SCAs do not have acceptable condition.

Information technology induced communications (ICTs) have revolutionized the operational aspects of service sector and have triggered a perceptual shift in service quality as rapid dis-intermediation has changed the access-mode of services on part of the consumers. ICT-enabled services further stimulated the perception of automated service quality with renewed dimensions and there subsequent significance to influence the behavioural outcomes of the consumers. Customer Relationship Management (CRM) has emerged as an offshoot to technological breakthrough as it ensured service-encapsulation by integrating people, process and technology. This paper attempts to explore the relationship between automated service quality and its behavioural consequences in a relatively novel business-philosophy – CRM. The study has been conducted on the largest public sector bank of India - State bank of India (SBI) at Kolkata which has successfully completed its decade-long operational automation in the year 2008. The study used structural equation modeling (SEM) to justify the proposed model construct and causal loop diagramming (CLD) to depict the negative and positive linkages between the variables.