How Pride Triggered by Pro-environmental Technology Adoption Spills Over into Conservation Behaviours: A Social Business Application

This paper uncovers dimensions of family influence on private small business in Vietnam. Although the F-PEC scale, which comprises three subscales for power, experience and culture dimensions of family influence, has been validated in the literature, application of the scale in an Asian context, like Vietnam, may face challenges due to context differences. The study modified the original scale based on qualitative findings from five interviews with entrepreneurs and comments on the scale from business scholars. Data from a survey of 143 entrepreneurs were used for EFA, resulting in four factors. And CFA proves fitness of the measurement model of the four-factor structure to the data, in which two dimensions regarding the cultural aspect were confirmed.

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Business associations as social business network facilitators

Proceedings of the 8th International Conference on Modern Research in Management, Economics and Accounting ◽

10.33422/8mea.2018.11.51 ◽

2018 ◽

Author(s):

Mehmet Turker

Keyword(s):

Social Business ◽

Business Associations ◽

Business Network

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FAKTOR KESIAPAN DAN ADOPSI TEKNOLOGI INFORMASI DALAM KONTEKS TEKNOLOGI SERTA LINGKUNGAN PADA UMKM DI JAKARTA

JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) ◽

10.33480/jitk.v5i1.616 ◽

2019 ◽

Vol 5 (1) ◽

pp. 49-56 ◽

Cited By ~ 2

Author(s):

Asrul Sani ◽

Ninuk Wiliani

Keyword(s):

Information Technology ◽

Technology Adoption ◽

Quantitative Study ◽

Business Management ◽

Technology Readiness ◽

Business Sector ◽

Research Model ◽

Information Technology Adoption ◽

Technology Adoption Model ◽

Adoption Model

Use of information technology in general is very important for the development of the organization. Likewise, if the development of information technology can be applied to the small and medium business sector, so that it can increase the selling value of the sector. This research was conducted to answer the readiness of the SMEs sector in adopting information technology developments in business management. In this case the researcher develops the research model by adopting the technology readiness model and information technology adoption model in the context of technology and environment, combining and adjusting it according to the development of SMEs in Jakarta. This quantitative study involved 67 samples from MSME workers. Data was processed and analyzed using the PLS-SEM method using SmartPLS 2.0 software. The study also explained the results of the readiness factor which has a significant relationship to the utilization of information technology in SMEs in Jakarta

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Implementation of data mining as a support of business application strategy

Journal of Applied Information, Communication and Technology ◽

10.33555/ejaict.v5i1.49 ◽

2018 ◽

Vol 5 (1) ◽

pp. 47-55

Author(s):

Florensia Unggul Damayanti

Keyword(s):

Data Mining ◽

Random Forest ◽

Business Strategy ◽

Input Parameter ◽

Data Mining Algorithm ◽

Complex Data ◽

Business Decision ◽

Marketing Department ◽

Business Application ◽

Complex Data Sets

Data mining help industries create intelligent decision on complex problems. Data mining algorithm can be applied to the data in order to forecasting, identity pattern, make rules and recommendations, analyze the sequence in complex data sets and retrieve fresh insights. Yet, increasing of technology and various techniques among data mining availability data give opportunity to industries to explore and gain valuable information from their data and use the information to support business decision making. This paper implement classification data mining in order to retrieve knowledge in customer databases to support marketing department while planning strategy for predict plan premium. The dataset decompose into conceptual analytic to identify characteristic data that can be used as input parameter of data mining model. Business decision and application is characterized by processing step, processing characteristic and processing outcome (Seng, J.L., Chen T.C. 2010). This paper set up experimental of data mining based on J48 and Random Forest classifiers and put a light on performance evaluation between J48 and random forest in the context of dataset in insurance industries. The experiment result are about classification accuracy and efficiency of J48 and Random Forest , also find out the most attribute that can be used to predict plan premium in context of strategic planning to support business strategy.

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