full2010.pdf - page 981

943
O112
ž{
‹‹´
¥n
ªœž¦³¤šµŠ„µ¦˜¨µ—š¸É
n
ŠŸ¨˜n
°„µ¦Á¨º
°„ŽºÊ
°Ãš¦«´
¡šr
Á‡¨ºÉ
°œš¸É
…°Š¡¦³Š‰r
Marketing Mix Factors Affecting Monks in Selection of Mobile Phone
Á„˜»
ª—¸
¤¼
¦–r
šª¸
1
¨³ ›·
—µ¦´
˜œr
˜µ¤»

2*
Kedwadee Sombultawee
1
and Tidarat Tamboon
2*
š‡´
—¥n
°
„µ¦ª·
‹´
¥‡¦´Ê
Šœ¸Ê
¤¸
ª´
˜™»
ž¦³Š‡r
Á¡ºÉ
°«¹
„¬µž{
‹‹´
¥n
ªœž¦³¤šµŠ„µ¦˜¨µ—š¸É
n
ŠŸ¨˜n
°„µ¦Á¨º
°„ŽºÊ
°Ãš¦«´
¡šr
…°Š¡¦³Š‰r
„¨»n
¤˜´
ª°¥n
µŠš¸É
čo
Ĝ„µ¦ª·
‹´
¥‡º
° ¡¦³Š‰r
Ĝ¤®µª·
š¥µ¨´
¥¤®µ‹»
¯µ¨Š„¦–¦µª·
š¥µ¨´
¥ ‹Î
µœªœ 400 ¦¼
ž
ץčo
°™µ¤Äœ„µ¦¦ª¦ª¤…o
°¤¼
¨ ™·
˜·
š¸É
čo
Ĝ„µ¦ª·
Á‡¦µ³®r
…o
°¤¼
¨ ‡º
° ¦o
°¥¨³ ‡n
µÁŒ¨¸É
¥ n
ªœÁ¸É
¥ŠÁœ
¤µ˜¦“µœ Ÿ¨„µ¦ª·
‹´
¥¡ªn
µ 1) ¡¦³Š‰r
n
ªœÄ®n
¤¸
°µ¥»
¦³®ªn
µŠ 31 – 40 že
¦³—´
„µ¦«¹
„¬µ°¥¼n
Ĝ¦³—´
ž¦·
µ˜¦¸
¦µ¥Å—o
ÁŒ¨¸É
¥˜n
°Á—º
°œ°¥¼n
Ĝ¦³—´
 5,000 – 10,000 µš 2) —o
µœ¡§˜·
„¦¦¤„µ¦Äo
Ú¦«´
¡šr
Á‡¨ºÉ
°œš¸É
„¨»n
¤˜´
ª°¥n
µŠÄo
Ú¦«´
¡šr
Á‡¨ºÉ
°œš¸É
1 ¦¼
ž˜n
°1 Á‡¦ºÉ
°Š ¥¸É
®o
°š¸É
œ·
¥¤¤µ„š¸É
»
— ‡º
° ÜÁ„¸
¥ ¦³¥³Áª¨µ…°Š„µ¦Äo
Šµœ°¥¼n
š¸É
6 – 12 Á—º
°œ Ĝ
¦³—´
¦µ‡µ 5,000 – 10,000 µš 3) ¡§˜·
„¦¦¤—o
µœ„µ¦Á¨º
°„ŽºÊ
°Ãš¦«´
¡šr
Á‡¨ºÉ
°œš¸É
…°Š¡¦³Š‰r
¡ªn
µ ª´
˜™»
ž¦³Š‡r
®¨´
„Äœ„µ¦˜´
—·
œÄ‹Žº
Ê
°Ãš¦«´
¡šr
Á‡¨ºÉ
°œ ‡º
° Á¡ºÉ
°Äo
Áž}
œn
ªœ®œ¹É
Š…°Š„µ¦šÎ
µŠµœ ×¥š¸É
˜œÁ°Š¤¸
°·
š›·
¡¨˜n
°„µ¦
˜´
—·
œÄ‹ŽºÊ
°Ãš¦«´
¡šr
Á‡¨ºÉ
°œ¤µ„š¸É
»
—¨³ ºÉ
°š¸É
¤¸
°·
š›·
¡¨˜n
°„µ¦˜´
—·
œÄ‹ŽºÊ
°‡º
° °·
œÁ˜°¦r
ÁœÈ
˜ 4)…o
°¤¼
¨Á„¸É
¥ª„´
ž{
‹‹´
¥
n
ªœž¦³¤šµŠ„µ¦˜¨µ—š¸É
n
ŠŸ¨˜n
°„µ¦Á¨º
°„ŽºÊ
°Ãš¦«´
¡šr
Á‡¨ºÉ
°œš¸É
…°Š¡¦³Š‰r
×¥ž{
‹‹´
¥—o
µœŸ¨·
˜£´
–”r
˜¦µ¥¸É
®o
°
¤¸
‡ªµ¤Á®È
œÄœ¦³—´
¤µ„ —o
µœ¦µ‡µ ‡ªµ¤Á®¤µ³¤…°Š¦µ‡µ˜´
ªÁ‡¦ºÉ
°ŠÁ¤ºÉ
°Áš¸
¥„´
„µ¦Äo
Šµœ ¤¸
‡ªµ¤Á®È
œÄœ¦³—´

¤µ„ n
°ŠšµŠ„µ¦‹´
—‹Î
µ®œn
µ¥ „µ¦¤¸
«¼
ϴr
¦·
„µ¦®¨´
Š„µ¦…µ¥¤¸
‡ªµ¤Á®È
œÄœ¦³—´
¤µ„ —o
µœn
°ŠšµŠ„µ¦‹´
—‹Î
µ®œn
µ¥ ¤¸
«¼
ϴr
¦·
„µ¦®¨´
Š„µ¦…µ¥¤¸
‡ªµ¤Á®È
œÄœ¦³—´
¤µ„
‡Î
µÎ
µ‡´

: ¡¦³Š‰r
n
ªœž¦³¤„µ¦˜¨µ— ¡§˜·
„¦¦¤
1
Abstract
The purpose of this research was to investing marketing mix factor affecting the mobile phone
purchasing of monks. The data was collected by questionnaires from 400 consumers in
Mahachulalongkornrajavidyalaya University. The data was analyzed by using descriptive statistics such as
frequency, percentage, means and standard deviation. The data found that 1) Most of the respondents’ age were
1
°µ‹µ¦¥r
ž¦³‹Î
µ‡–³ª·
š¥µ„µ¦‹´
—„µ¦ ¤®µª·
š¥µ¨´
¥«·
¨žµ„¦ ª·
š¥µÁ…˜µ¦œÁš«Á¡¦»
¦¸
Lecturer, Faculty of Management Science, Silpakorn University, Phetchburi IT campus
2
ϫ
„«¹
„¬µž¦·
µ˜¦¸
‡–³ª·
š¥µ„µ¦‹´
—„µ¦ ¤®µª·
š¥µ¨´
¥«·
¨žµ„¦ ª·
š¥µÁ…˜µ¦œÁš«Á¡¦»
¦¸
76120
Bachelor’s Degree student, Faculty of Management Science, Silpakorn University, Phetchburi IT campus, 76120
* Corresponding authorÚ¦«´
¡šr
087-6716981 mail :
1...,971,972,973,974,975,976,977,978,979,980 982,983,984,985,986,987,988,989,990,991,...2023
Powered by FlippingBook