Joklan I.C. Goni, Fransisca Tharia and Nugroho Suryo
The purpose of this paper is to examine factors that most strongly influence success in benchmarking as attempted by Indonesian manufacturers and service companies. It…
Abstract
Purpose
The purpose of this paper is to examine factors that most strongly influence success in benchmarking as attempted by Indonesian manufacturers and service companies. It investigates the impacts of success in Kaizen, people mindset and organizational dimensions with success in benchmarking.
Design/methodology/approach
A total of 100 questionnaires were distributed to senior managers at an 87 percent response rate.
Findings
This study reveals that success in benchmarking that companies undertake correlates positively with their success in Kaizen, people mindset and organizational dimensions.
Research limitations/implications
As an empirical study, this work has some limitations that need to be recognized. First, the sample only includes Indonesian companies. Second, as the small sample size resulted in only indicative outcome, more research is needed in this area. Furthermore, there may also have been other factors affecting success in benchmarking. It is, therefore, recommended that the framework be extended to include more variables such as information-technology competency, company status (being a single or group company) and to use other methodologies, such as multiple regression.
Practical implications
A company can achieve success in benchmarking through implementing success in kaizen, people mindset, formalization, centralization and integration. Industry-wise, formalization and centralization are the variables that impact the success in benchmarking significantly. For services companies, formalization and centralization is the significant variable affecting, whereas, for manufacturing companies success in Kaizen is the significant variable for success in benchmarking. Therefore, for services companies, having documented and implementation policies, regulations and procedures will influence success in benchmarking. The involvement of the top management, budgeting for every functions and unit performance evaluation will result in success in benchmarking. On the other hand, top management commitment and worker involvement are necessary to drive success in Kaizen in manufacturing companies.
Originality/value
Unlike most of the previous studies on a manufacturing company, this paper examines both manufacturing and services companies especially in Indonesia.
Details
Keywords
Adi Susilo, Fina Fitriah, Sunaryo, Eng Turniningtyas Ayu Rachmawati and Eko Andi Suryo
Research has been conducted to analyze the landslide in Banaran area, Ponorogo Regency. The landslides occurred on April 1, 2017. This study was conducted to know the subsurface…
Abstract
Purpose
Research has been conducted to analyze the landslide in Banaran area, Ponorogo Regency. The landslides occurred on April 1, 2017. This study was conducted to know the subsurface conditions in the Banaran area to analyze the disaster mitigation efforts. The mitigation efforts are made to reduce the risk from landslides and possible landslides.
Design/methodology/approach
The method used is the geo-electric resistivity method of Wenner–Schlumberger configuration. The research was conducted in three villages namely Banaran Village, Bekirang Village and Mendak Village.
Findings
There are 12 resistivity measuring points with a track length of 410 m and a space of 10 m. The measured resistivity range is between 1.42 Ω.m and 67.500 Ω.m. The resistivity data and the local geological maps interpreted that the rocks in the Banaran area consist of clay, tuff lapilli, volcanic breccia and andesite lava. The landslide area begins at a depth of 8–35 m below the surface which is interpreted as tuff. Also, the thickness of the landslide material and the slope is = 400 which supports the occurrence of a more prominent landslide. The results of the parameter scoring of the landslide-prone areas indicated that the research area is very vulnerable to a landslide. The results of the interpretation indicate that the geo-electric resistivity method can provide a good overview for conducting landslide analysis, that is field slippage and potential material thickness occurrence landslide.
Originality/value
This article is very specific as it attempts to discover how prone Banaran are is to landslide.