Understanding Determinant Factors of Firm Performance: A Time Path Analysis of the Auto-Industry

Author(s):  
Chang Seob Yeo
2017 ◽  
Vol 5 (1) ◽  
pp. 84
Author(s):  
Nurlaela Nurlaela ◽  
Muhammad Arafat Abdullah

Poverty of cocoa smallhoders is still identifed as a serious issue in Indonesia. The general specific objectives of the research is to calculate the percentage of cocoa smallholders are living below the Provincial Poverty Line and identifying determinant affects poverty of smallholders. The research employed Head Count Index and Path Analysis. Results show that the percentage of cocoa farmers living below Poverty Line reached 65% in the province. Determinant factors affects poverty situation is education attainment of family member, access to price information, cocoa estate area, distance to school. It suggests that in order to reduce poverty of cocoa farmers need to improve children and education attainment, making school is more closer to the farmers community and develop cocoa estate area and connecting price information to the farmers.


2005 ◽  
Vol 13 (04) ◽  
pp. 383-408 ◽  
Author(s):  
JOAKIM WINCENT

This study attempts to improve the present understanding of how firms build competitiveness in strategic SME networks. In particular, it empirically tests and identifies patterns among potentially important factors as mentioned in prior literature and suggests propositions as potential providers for middle-range theorizing. Using data from a population of 54 firms, influences of firm-related factors, partner-related factors, and inter-firm relation factors on competitive outcomes (i.e., organizational entrepreneurship, resource contributions to the network entity, and direct firm performance effects) were identified by using path analysis techniques. Findings suggest all factors are influential, but effects are seldom direct. Based on the results from path analysis and interviews with CEOs in the firms studied, a number of propositions are offered for future middle-range theorizing in this domain. Implications for policy and practice are suggested.


2016 ◽  
Vol 10 (2) ◽  
pp. 97
Author(s):  
Parlaungan Adil Rangkuti ◽  
Amiruddin Saleh

The objectives of this research were (1) to explain VUC organization communication factors which<br />are the key in improving the VUC performance, (2) to explain VUC organization communication<br />factors that become the key in developing the VUC capacity, and (3) to formulate defined strategy<br />in improving the VUC quality service as the agricultural economic organization for agricultural<br />mechanization development. Active category of VUC sample as analysis unit was determined<br />by each of five VUC samples at Karawang and Cianjur District. From each VUC sample, thirty<br />respondents that use rice milling of VUC, were taken. This research was designed using survey<br />method with multi analysis approaches, they were: descriptive analysis and path analysis using<br />SEM (Structural Equation Model) analysis with LISREL analysis support. The primer and<br />secondary data were collected from December 2009 to March 2010. The result of this research<br />showed that (1) according to the similarity test model referring to the goodness of fit criteria<br />from SEM analysis showed that VUC organization communication model is good, (2) level of<br />performance, capacity, and quality of VUC service at Karawang and Cianjur District classified<br />as low,(3) determinant factors which have real influence on the low performance and capacity<br />of VUC are low quality of information, inconvenient organization communication environment,<br />and low intensity of public organization communication, (4) determinant factors which have real<br />influence on the low quality of VUC service are low quality of VUC personnel characteristic<br />and weak VUC organization communication process, and (5) improvement strategy of VUC<br />quality service should be done by developing VUC organization communication model through<br />agricultural information system development in the centers of agriculture production in each<br />rural area towards modern agriculture.


2006 ◽  
pp. 138-149 ◽  
Author(s):  
Svend Lundtorp ◽  
Stephen Wanhill
Keyword(s):  

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