ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN KEPEMILIKAN KARTU KREDIT STUDI KASUS DI JAKARTA, INDONESIA
Main Authors: | Jusup Agus Sayono, Ujang Sumarwan, Noer Azam Achsani, . Hartoyo |
---|---|
Format: | Article application/octet-stream eJournal |
Bahasa: | eng |
Terbitan: |
Organisasi dan Manajemen
, 2010
|
Subjects: | |
Online Access: |
http://journal.tarumanagara.ac.id/index.php/mm/article/view/674 |
Daftar Isi:
- Abstract : Indonesia is one of big under development in ASEAN region. The population up to 200 million and constituting one of aim foreign direct investment. According to extensive market and has good economy prospect at proximately. Due to that thing therefore credit card market also outspread and keeping faith, remembering credit card as medium of exchange, giving amenity and acceptance that extensive whereabouts just comprises shoping centre, hotel, restaurant and acceptable various worldwide place because charge plate is assessed more practical and safe (cash less). Another thruster factor in product development and charge plate business is increasing trend credit card purposes, in heigh gain which is gotten for publisher credit card, managing bank (acquirers) and business that receptive credit card as medium of exchange (merchant), and easy result of Medium of Exchange technology development by using of Card (APMK). Market potency is huge and not yet created as well. Moreover, a lot of it bank develops to carry on business, where does it denote that credit card business is still have good opportunity for bank of issue to reach for gain will also increase society trust will name and to that bank mainstay. Credit card transactions phenomenon really ever increasing from time to time, but how can maximize that market potency, for it to need made by best strategy one can thru apply result from analyses influential factor to ownerships decision behaviors credit card. Study is done to analyze demography factor with it is characteristic, motivates factor, attitudes factor and personalities factor, to credit card ownership decision, so can give marketing strategy formula to have competitiveness and increasing gain. Data has been proceed with binary is logistics regression