At present, there has been a growing interest in improving the quality of working life between businessmen, administrators, the government and the employees themselves.
The objective of the research was to determine the validation of an instrument that measures the perception of quality of work life through multivariate analysis. The instrument had 70 items that identified the workers' appreciation with respect to 15 dimensions, through the Likert-type scale, 82 surveys were randomly applied in different organizations during the year 2017.
The results of the validation indicate that: The global reliability of Conbrach's alpha was 0.952; The Pearson Correlation established that the strongest correlation was participation and extrinsic motivation, job satisfaction and remuneration, morality and extrinsic motivation and the dimensions with less correlation, direction and remuneration, direction and health, remuneration and health, communication and security, communication and health motivation with equity and remuneration, intrinsic motivation and health.
The total variance explained is expressed in two factors: safety and conditions of work rotated and occupational health; in relation to the analysis of main components, a new variable was identified and it was called the Quality of Work Life Index.
As for the communalities, it is verified that job satisfaction and remuneration explain the greater proportion of the variance. And the rotated components show that there are 3 dimensions that converge remuneration, job satisfaction and extrinsic motivation.
It is concluded that based on the multivariate analysis the instrument is valid to be used in other research, both in private, public and educational organizations.
This research entitled Analysis of Factors Affecting Furniture Production in Denpasar City (Case Study of its Production Process and As an Export Product). The research location in Denpasar City includes four sub-districts namely District: West Denpasar, South Denpasar, East Denpasar, and North Denpasar. The sample of research is 119 out of 163 population of industry sector which classified Small Industry and Micro Industry. Of the 123 samples, 58 samples from micro business households and 65 samples from small industry business households. The variables studied consist of: Manpower (HR), Investment, SDA, Capital, Raw Materials, Costs, and Technology analyzed in one model with Variable of income as dependent variable. The other variables are the quality of human resources, the number of working hours, the type of equipment, and the quality of raw materials, analyzed as one model with the net income of micro and small industry as the dependent variable.
The supporting theories of this research consists of two groups: (1). Labor theory, (2). Investment Theory; (3). Capital, (4). Cost Theory; (5). Technology, (6). Theory of Price, (7). Theory of Production, and several theories relevant to the study of this study. This study raised 2 problems as problem research. Both problems are hypothesized either simultaneously or partially. Plus one problem that is studied qualitatively so it is not hypothesized.
Outcome of this research is the discovery of the ability of small and micro industries in Denpasar City, both in conducting the production continuity and the controlling power of the international market.
Urgency This research is how small industry and micro industry effort can prepare as early as possible as producer of export product, willing to enforce Globalization of International Trade.
Industrial companies obtain much of their value and technology innovations from external suppliers. Due to the rising dependency of companies on their suppliers it is necessary to monitor the suppliers performance constantly. The current object of research is to create new business processes with a holistic IT-concept to get all significant information about the entire supplier base. The aim is to be flexible and fast in decision-making in case of non-performance or even to take preventive measures to avoid irregularity in production. But how to evaluate thousands of suppliers at once? How does Data Mining support the knowledge management in the supply chain management? The Stepped Evaluation Model of The Total Supplier Risk Monitoring and the Smart Data Advanced Analytic Process approach a corporate knowledge management which forms a basis of a preventive supplier evaluation.