Unpacking the mechanism between psychological empowerment and green innovative work behavior

Technological developments are things that must be followed by companies to achieve a competitive advantage to improve performance. To achieve and improve performance, companies need active employee engagement by encouraging motivation and fulfilling their job satisfaction. This study aims to analyze the effect of motivation and job satisfaction on performance with employee engagement as a mediating variable. The research sample is Information Technology (IT) companies located in the cities of Jakarta and Bandung, Indonesia. Research respondents are system developers who handle system development activities for a project or part of an ongoing project. By using the convenience sampling technique 103 responses were obtained from IT developers. The research model analysis method uses Partial Least Square (PLS) with SMART PLS Ver 3.0 software. Empirical findings prove that motivation has a positive effect on the performance of IT employees, while job satisfaction is independent. Employee engagement does not directly affect employee performance, but the effect of mediation through motivation and job satisfaction can have a significant effect on employee performance. The research findings have managerial implications, in increasing high employee involvement, motivation needs to be encouraged to be more active and innovative, and facilitate the achievement of the desired results.

Acknowledgment
This study was made possible because of the full support of the Region III Education Service Institute (LL-DIKTI III), the Ministry of Education and Culture of the Republic of Indonesia, and the Research Center at Mercu Buana University, Jakarta.

Non-financial factors including quality of services, the flexibility of a company, utilization of resources, and market orientation are regarded as significant determinants that enhance the profitability-based performance of a service company or a hotel. The study investigated the interaction between these factors and hotel operating performance measured by the hospitality performance and results indicators. Data on 346 executives of Vietnam’s hospitality companies were collected. A structural equation modeling (SEM) method was utilized to examine the positive-direct and moderating effects of non-financial factors on hotel performance in terms of occupancy rate (OCR), average daily rate (ADR), and the revenue per available room (RevPAR). The findings showed that service quality ( = 0.118, p < 0.05), flexibility ( = 0.173, p < 0.05) and resource utilization (= 0.172, p < 0.05) positively affected the performance of Vietnam’s hospitality companies. Meanwhile, innovation showed no direct influence (p = 0.068) but an indirect impact on the performance through service quality ( = 0.311, p < 0.05). Market orientation did not impact the performance (p = 0.076) but it positively affected both innovation ( = 0.322, p < 0.05) and service quality ( = 0.146, p < 0.05). The study contributed to a theoretical enhancement of the current level of knowledge on the factors that affect the performance and developed a reliable scale for measuring the performance of hotels in Vietnam.

The purpose of this paper is to investigate the problems of the sustainable development, to explore the level of innovation in the fast moving consumer goods (FMCG) manufacturing SMMEs sectors, which most affects on the state of the environment, to identify the causes of low innovation in the industry and to examine these factors influence on the effectiveness of SMMEs manufacturers innovation strategies, as well as to invent a new innovation strategic approach to overcome innovation problems in the economic growth of fast moving consumer goods SMMEs manufacturers. The study is aimed to determine the level of innovation and factors contributing to low innovation in fast moving consumer goods (FMCG) SMMEs manufacturers, which hinder their economic performance. Mixed approach of quantitative and qualitative questionnaire is used for primary data collection. Sample consists of 120 SMMEs. Statistical Package for Social Sciences (SPSS) (23.0) was employed for data analysis. The study results are presented with figures and diagrams. This study will be a useful tool for general public and relevant stakeholders in this sector.