Heru Purnomo & Haryanto
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NIAT ADOPSI E-COMMERCE WIRAUSAHAWAN MAHASISWA (STUDI PADA MAHASISWA UNS) Haryanto, Heru Purnomo &
JURNAL EKONOMI DAN KEWIRAUSAHAAN Vol 11, No 1 (2011): Ekonomi dan Kewirausahaan
Publisher : Universitas Slamet Riyadi

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Abstract

ABSTRACT This research aims to explore some variables which influence the intention to use (re-use) technology of internet for students who are doing business. This research applied technology acceptance model (TAM) elaborated with theory of planned behavior. Respondents of this research were students of sebelas maret university who have uses internet in their business activities. They were selected by a purposive sampling method. Based on SEM analysis, the result of this research shows that perceived usefulness and subjective norm influence towards intention to use (re-use) technology of internet and also perceived behavioral control and attitude to re-use e-commerce. The result of this research describes that some variables are an antecedent of affective (intention to re-use) in e-commerce. Thus, this result supports the theory of planned behavior by Ajzen and technology acceptance model by Davis. Implications of the findings for developers are discussed further. Keywords: TAM, technology internet, entrepreneurships.
ANALISIS PREFERENSI KONSUMEN SEBAGAI DASAR PENENTUAN SEGMENTASI DI PERBANKAN SYARIAH (Studi Kasus PT Bank Muamalat Indonesia Cabang Solo) Haryanto, Heru Purnomo &
JURNAL EKONOMI DAN KEWIRAUSAHAAN Vol 10, No 1 (2010): Ekonomi dan Kewirausahaan
Publisher : Universitas Slamet Riyadi

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Abstract

Abstract The objectives of this research are to analysis the preference of consumer on the syariah bank as base of segmentation and how the segmentation strategy is applied. There are three analysis for segmentation analysis: factor analysis, cluster analysis, and profiling analysis. The result of this research are by the factor analysis, there are six factors (location, park, funding, saving, motivation, and services), by cluster analysis, there are three cluster (location, benefit of product, and motivation), by profiling analysis, there are three segmentation area (geographic, psychographic, and behavioral). Keywords: Segmentation, cluster analysis, geographic segmentation, psychographic segmentation, behavioral segmentation