ᔕޗဂࣽמჹޗဂޕϩ٦ϐቹៜ
݅ࡌֻ ᒘች௵
݅ࣽמεᏢၗᆅ܌ ࡌ୯ࣽמεᏢၗᆅس
kevin@ctu.edu.tw hmin@ctu.edu.tw
ᄔा
ޕᔮਔжޑٰᖏǴၗૻࣽמޑၮҔϷҾ ޕޑᆅǴωૈ٬ౢғౢΚᆶᝡݾΚගϲǶౢ ࡌҥុᝡݾޑᜢᗖӢનϐࢂౢӵՖϩ٦ дޑޕǶޕςԋࣁҺՖౢനߥޑၗౢǶ ᔕޗဂၸޗᆛၡٰՉჹ၉Ǵᔅշ வڀԖᡍޑΓᕇளޑ܌ሡޑޕǶҁࣴزޑᔕ ޗဂࣽמࢂࡰஒၗૻࣽמᔈҔܭޕޗဂǶҁࣴز Ьाᔕޗဂࣽמჹܭޕϩ٦ޑቹៜǴԶ ߦޗဂཀǴගଯԋޑ۸၈ࡋǶ ࣴز่݀ᡉҢǴޕϩ٦ዴჴቹៜޗဂཀ ǴᔕޗဂࣽמჹޗဂཀዴჴԖᡉޑቹៜǴ ޗဂཀჹ۸၈ࡋԖᡉޑቹៜǶ ᜢᗖຒǺޕᆅǵᔕޗဂǵޕϩ٦ǵ۸ ၈ࡋǶAbstract
It is necessary to utilize IT and effectively managed knowledge to elevate the productivity and competitive stance of organizations in the age of knowledge economy. A key source of sustainable competitive advantage is how an organization shares its knowledge. Knowledge has become the most precious property of any organization.
The virtual community emphasizes dialogue through social networks, and helps to informally share knowledge which is obtained from experienced and skilled people. The technology of virtual community means that applies IT to the virtual community.
This research studies how knowledge sharing is affected by virtual community technologies, and how virtual community technologies may be used to enhance the community members’ loyalty.
The results confirmed the impact of knowledge sharing on community senses. The technology of virtual community support had a positive impact on community senses. The community senses was found to be critical for improving loyalty.
Keywords: Knowledge Management ǹ Virtual
CommunityǹKnowledge sharingǹLoyalty
1.
ق
ӧޕᔮਔжǴޕςԋࣁҾനख़ाޑၗ ྍǴΨࢂᆢᝡݾᓬ༈ޑЬाᜢᗖӢનǶᒿၗૻ ࣽמޑᆶวǴᆛၡޑᔕޗဂȐVirtual CommunityȑςԋࣁЬाޑޕϩ٦ޑѳѠǶ ߈ԃٰǴޕޗဂ(Knowledge Community)܈ ᔕი໗(Virtual Team)࣬ᜢࣴزᅌᅌख़ຎǴޕޗ ဂࡰၮҔޕᆅܭޗဂϐύǶޕޗဂϐሽॶӧ ܭബрၲډᖏࣚኧໆϐޗဂԋǴ٠ᙖҗᆢځ ۸၈ࡋٰಕᑈޗဂၗౢаᕇڗ׳εޑճǶ Barrett et al.(2004)ࡰрԖਏޑޕޗဂ܄х ࡴૈЍජޕϩ٦ǴЪӝၗૻ೯ૻמೌޑวᆶ ٬ҔǶ ҁࣴزҞޑӧܭᕕှޕޗဂޑޕϩ٦ ՉࣁǴၸᔕޗဂࣽמޑ௦ҔǴቹៜΑޕޑϩ ٦ޑᐒڋϷำࡋǴ໔ௗޑቹៜޗဂཀǴԶቹៜ Αԋޑ۸၈ࡋǴаගٮᔕޗဂᔼޣᔼޗဂ Ϸᆢԋ۸၈ࡋϐୖԵǶ ҁࣴزӧаΠୢᚒǺ 1. ᔕޗဂࣽמࢂցૈமϯޕϩ٦ჹܭԋޗ ဂཀǻ 2. ϩ٦ᡉ܄ޕ܈ϩ٦ᗦ܄ޕࢂցቹៜޗဂཀ ǻ 3. ޗဂཀࢂցቹៜޗဂԋ۸၈ࡋǻ2.
Ў
2.1 ᔕޗဂࣽמ Hendriks(1999)ᇡࣁၗૻ೯ૻמೌჹޕϩ٦ ᐒԖޔௗᆶ໔ௗޑቹៜǴҗܭၗૻ೯ૻמೌёа วචрѐନምᛖǴගٮၗૻڗளᆅၰǵׯؼࢬำǵ ዴᇡޕᏱԖޣᆶ൨פޣՏޑѤфૈǴલЮၗ ૻ೯ૻמೌߔᛖޕޑϩ٦ǶӢԜၗૻࣽמׯᡂ ΓᆶΓྎ೯ޑࠠᄊǴ٬ளԖӅӕᑫ፪ᆶགྷݤޑΓ ӝӧଆԋࣁঁᆛၡޗဂǶၗૻ೯ૻמೌࢂޕ ޗ ဂ ޑ ᜢ ᗖ ف Յ (McDermott,1999;Walsham,2001; Barrett et al.(2004)Ƕၗૻ೯ૻמೌၮҔܭᔕޗ ဂǴߡࢂᔕޗဂࣽמǶRomm et al.(1997ȑගр ӝࠠޑᔕޗဂΟ໘ࢤኳࠠǴځύಃ໘ࢤߡ ࡰрࣽמӢη(technological)ቹៜΓॺୖᆶᔕ ޗဂޑཀᜫǶ೭ঁࣽמӢηࢂࡰႝηྎ೯൞ᡏޑᏹբ܄Ȑoperationalȑǵቸ܄(flexible)ǵܰҔ܄(easeful)ǵ ё܄(reliable)ϷܰΑှ(accessible)܄Ƕ Wachter et al.(2000)ࡰрԖӭόӕޑמೌёҔٰ Ѝ ජ ᔕ ޗ ဂ ࢲ Ǵ ٠ ஒ ྎ ೯ ኳ Ԅ ϩ ࣁ ӕ (Synchronous)ᆶߚӕ(Asynchronous)ٿᅿǶӵ߄ 1 ܌ҢǶ ߄ 1 ᔕޗဂࣽמ ᔕޗဂࣽמ ӕ ߚӕ ಠϺ࠻(Chat rooms) ຎૻ(Videoconferencing) ႝηແҹ(Email) ဂಔӝբ(Group collaboration) ޕ (Knowledge repositories) ፕ(Discussion) Ծुޑࣚय़(Custom interfaces) ӄౚၗૻᆛ(World Wide Web)
2.2 ϣᗦᆶѦᡉޑޕϩ٦
Nonaka & Takeuchi(1995)ஒޕϩࣁϣᗦޕ ᆶѦᡉޕǶϣᗦޕࢂࡰคݤᇥܴޑǵ҂س ϯЪឦܭঁΓޑޕ;Ѧᡉޕ߾ࢂҗ࠼ᢀᢀჸ܌ ளޑ܄ޕǴёҔЎӷǵኧӷǵკ߄ǵϦԄ܈ᇟق уаమཱޑ߄ၲǶNonaka & Takeuchi(1995)ࡰрϣᗦ ޕᆶѦᡉޕ٠ߚϩᚆǴԶࢂ࣬ᇶ࣬ԋޑჴᡏǴΨ ൩ࢂᇥǴϣᗦޕᆶѦᡉޕޑϕၸำ൩ࢂޕϩ ٦ޑၸำǶ೭ᅿϩ٦٠ό߳ज़ӧঁΓϐϣǴԶࢂΓᆶ Γϐ໔ޑϩ٦Ǵځ่݀൩ౢғޕޑബཥǶ೭ϕၸ ำёаϩࣁӅӕϯǵѦϯǵಔӝϯکϣϯǴӵ კ 1 ܌ҢǶ ! კ 2!ಔᙃޕᖥ! Ӆӕϯࡰᙖҗϩ٦ᡍԶၲډബϣᗦޕ ޑၸำ(Ӆሳޑޕ)ǹѦϯࡰϣᗦޕၸᗦ േǵᜪКǵᢀۺǵଷ܈ኳԄ߄рٰ(ᢀۺ܄ޕ )ǹϣϯࡰаᇟقǵࡺ٣ၲޕǴ܈ஒځᇙբ ԋЎҹЋн(ᏹբ܄ޕ)ǹಔӝϯࡰஒᢀۺуаس ϯԶԋޕᡏسޑၸำ(سϯޕ)Ƕ Roberts(2000) ၸ ϩ ϣ ᗦ ޕ ᆶ Ѧ ᡉ ޕ Ǵ׳ᄇۭޑᕕှၗૻ೯ૻמೌ(Information and Communication Technologies, ICT)ӧޕ౽ᙯၸำ ޑفՅǶ 3/4!ޗဂཀ! Organ(1988)ගрᔕޗဂޕϩ٦ޑԋ݀Ǵ ౢғიᡏޑᏉᆫΚǵᔕޗဂԋޑᘜឦགǵ۸ ၈ࡋǵಔᙃϦ҇ՉࣁǶ ޗဂཀڀԖᏉᆫ۶ԜޑૈΚǴٰԾܭᕉნ ύԋ໔ޑᘜឦགǴԋϐ໔ڀԖӅӕճ܈Ӆӕ ሡाԶౢғޑЈᇡӕགǶޗЈᏢޑიᡏՉࣁ ᇡࣁǴᏉᆫΚж߄ࢌ٤იᡏϐ໔ޑགᖄᛠࡐமǴ දၹڀԖޗဂཀǶ Kim et al.(2004)ᇡࣁڀԖޗဂཀǴ߾ౢғ ߞҺޑݗǴԶቚу۸၈ࡋǴKim Γ٠ගр ᔕޗဂཀޑำࡋϩࣁ: уΕ(Membership)ǵ ቹៜϷᜢᖄ(Influence and Relatedness)ǵሡޑӝ ᆶᅈى(Integration and Fulfillment of Needs)ǵᆣ܄ ϐᡍϩ٦(Shared Emotional Experiences)Ƕ
3.
ࣴزБݤ
4/2!ࣴزࢎᄬ! ҁࣴز٩ᏵࣴزᐒǵҞޑᆶЎᏤр ҁࣴزࢎᄬӵკ 2 ܌ҢǶၸᔕޗဂࣽמޑ௦ ҔǴቹៜΑޕޑϩ٦ޑᐒڋϷำࡋǴ໔ௗޑቹៜ ޗဂཀǴԶቹៜΑԋޑ۸၈ࡋǶ კ 3!ࣴزࢎᄬ аΠࣁҁࣴزϐᡂኧۓကᆶᏹբ܄ٰྍ : ߄ 2 ᡂኧۓကᆶᏹբϯۓက ᡂኧ ᏹբϯۓက ޕϩ٦ ࡰޗဂԋޕϩ٦ޑՉࣁǶ ҁ ࣴ ز ٩ Ᏽ Nonaka(1994) ፕ ᗺǴϩࣁᗦ܄ޕޑϩ٦ᆶᡉ ܄ޕޑϩ٦Ƕ ᔕޗဂࣽמ ӕྎ೯πڀǺᆛၡջਔ೯ૻ ೬ᡏǵಠϺ࠻ ߚӕྎ೯πڀǺፕǵ੮ ق݈ǵ౻ ޗဂཀ ҁࣴز٬Ҕ Kim et al.(2004)ޗ ဂཀޑำࡋǴ٩ׇࣁуΕ ǵቹៜᆶᜢᖄǵሡޑӝ ᆶᅈىǵᆣ܄ޑᡍϩ٦Ƕ ۸၈ࡋ ҁࣴزۓကࣁޗဂԋࢂց ӆΕޗဂϷᙚдΓୖᆶޗ ဂޑཀᜫǶ ޕϩ٦! ! ᗦ܄ޕ! ᡉ܄ޕ! ޗဂཀ! ۸၈ࡋ! ᔕޗဂࣽמ! ϣᗦ! Ѧᡉ! Ӆӕϯ! ಔӝϯ! Ѧϯ! ϣϯ!4/3!ࣴزଷᇥ! ਥᏵࣴزࢎᄬ܌วޑଷᇥӵΠ: H1:Ȩޕϩ٦ȩჹܭȨޗဂཀȩԖ҅य़ޑቹៜǶ H1-1: Ȩᗦ܄ޕϩ٦ȩჹܭȨޗဂཀȩԖ҅य़ ޑቹៜǶ H1-2: Ȩᡉ܄ޕϩ٦ȩჹܭȨޗဂཀȩԖ҅य़ ޑቹៜǶ H2:ȨޗဂཀȩჹܭȨ۸၈ࡋȩԖ҅य़ޑቹៜǶ H3:ȨᔕޗဂࣽמȩჹܭȨޗဂཀȩԖ҅य़ޑ ቹៜǶ H3-1:Ȩޕϩ٦ȩϷȨᔕޗဂࣽמȩޑ٬Ҕჹ ȨޗဂཀȩԖ҅य़ޑቹៜǶ ! 4/4!ୢڔी! ୢڔी߯ਥᏵЎрӚᄬय़ޑᡂኧǴӅ ϩࣁϖҽǴϩձࣁ٬Ҕޣ୷ҁၗ 6 ᚒǴޕϩ ٦ 7 ᚒǴޗဂཀ 16 ᚒǴᔕޗဂࣽמ 5 ᚒϷ۸ ၈ࡋ 2 ᚒǶ ߄ 4!ୢڔी! ᄬय़! ᚒኧ! ୢڔी! ୖԵЎ! ٬Ҕޣ୷ҁၗ! 7! ൂᒧ! ҁࣴز! ޕϩ٦! 8! լϖᗺЁࡋ! Mff)3111*! ޗဂཀ! 27! լϖᗺЁࡋ! bm/)3115*!Ljn!fu! ᔕޗဂࣽמ! 6! լϖᗺЁࡋ! ҁࣴز! ۸၈ࡋ! 3! լϖᗺЁࡋ! ҁࣴز! 4/5!ၗᇆ! ҁࣴزЬाޑࣴزჹຝࣁԖୖᆶᆛၡޗဂ(ፕ Ꮭ)ޑ܌Ԗ٬ҔޣǶၗᇆޑБݤࣁፓࣴزݤǴ аᆛၡୢڔޑБԄՉፓ٠ᇶаႝηແҹǵ BBSǵ੮ق݈ޑБԄЬ൨פёૈޑڙೖޣǶ
4.
ၗϩ่݀
5/2!௶ॊ܄ीϩ! ҁࣴزӅԖ 332 Տ٬Ҕޣᆛ༤เୢڔǴၸ ᘠเਢԖܴᡉೕࡓ܄ޣǴीԖਏୢڔࣁ 313 ҽǴୢ ڔӣԏࣁ 94%ǶӢୢڔी֡аำԄᝄڋ܌ ԖឯՏѸ༤ቪωૈଌрǴӢԜӣԏޑԖਏୢڔኧ ଯǶ၁ಒޑኬҁ୷ҁၗǴхࡴ܄ձǵԃសǵ௲ػ ำࡋǵуΕޗဂਔ໔Ϸុ٬Ҕਔ໔Ƕϩၗӵ ߄ 4Ƕӧኬҁ୷ҁၗБय़Ǵت܄ڙೖ܌՞ޑК ၨଯǴࣁ 66.1ʝǹୖᆶޗဂޑԃសቫа 17 Կ 26 ۚ ӭǴࣁ 89.8ʝǹуΕޗဂޑਔ໔аԃԿΒԃКٯ ۚӭǴࣁ 32.3ʝǹԶុ٬Ҕਔ໔߾аъλਔԿ λਔۚӭǴࣁ 37.7ʝǶ 5/3!ޕϩ٦! ӧᡉ܄ޕϩ٦Бय़Ǵѳ֡ኧ֡ଯܭ 3.738Ǵ ྗৡ֡եܭ 0.761Ǵ่݀ᡉҢޗဂύޑԋനᜫ ཀӧޗဂϩ٦ךޑᡍᆶಕᑈޑޕǶ ӧᗦ܄ޕϩ٦Бय़Ǵѳ֡ኧ֡ଯܭ 3.875Ǵ ྗৡ֡եܭ 0.747Ǵ่݀ᡉҢޗဂύޑԋനᜫ ཀӧޗဂϩ٦ჹΓ٣ϷᕉნޑዕϷᡏᡍǶ ߄ 4 ޕϩ٦ᄬय़ϐ୷ҁϩ ᄬय़ ᑽໆᚒҞ ѳ֡ኧ ྗৡ ӧޗဂϩ٦ಔᙃϣޑ ҾჄϣᆶൔ่݀ 3.738 0.761 ӧޗဂϩ٦ಔᙃޑᏹ բЋнکԋфኳԄ 3.744 0.737 ӧޗဂϩ٦ךޑᡍ ᆶಕᑈޑޕ 3.939 0.688 ᡉ܄ޕ ӧޗဂϩ٦ਜय़ၗ ޑޕ 3.891 0.725 ӧޗဂϩ٦җπբᗝ ᗗԶٰޑᡍ 3.875 0.747 ӧޗဂϩ٦ၸ௲ػ ᆶ૽ግࡕளٰޑᡍ 3.885 0.697 ᗦ܄ޕ ӧޗဂϩ٦ჹΓ٣Ϸ ᕉნޑዕϷᡏᡍ 3.913 0.671 5/4!ޗဂཀ! ӧޗဂཀБय़Ǵѳ֡ኧ֡ଯܭ 3.635Ǵྗ ৡ֡եܭ 0.818ǴᡉҢޗဂύԋޑୖᆶำࡋሥଯǴ ЪᡣԋჹޗဂౢғᏉᆫΚǴԶගଯԋޑᘜឦ གǶѳ֡ኧനଯޑࢂޗဂૈᆶځдԋ٬Ҕፕ ǵe-mail ۶ԜҬࢬǶ ߄ 5 ޗဂཀᄬय़ϐ୷ҁϩ ᄬय़ ᑽໆᚒҞ ѳ֡ኧ ྗৡ ޗဂૈᆶځдԋ٬Ҕ ፕǵe-mail ۶ԜҬࢬ 4.045 0.648 ޗဂૈᕇளځдԋගٮ ޑޑࡌ 4.019 0.669 ޗဂёୖᆶᔕޑ ፕ 3.706 0.753 ޗဂᡣךԖᘜឦག 3.635 0.801 ޗဂཀ ޗဂύךёаගٮךޑࡌ 3.977 0.647ޗဂύԋୖᆶำࡋଯ 3.651 0.770 ޗဂύךёаϸᔈཀـ๏ ځдԋ 3.894 0.706 ךᜫཀॄೢךӧޗဂ܌ வ٣ޑϪՉࣁ 3.801 0.812 ךکځдԋޑᑫ፪࣬՟ 3.805 0.778 ךૈவޗဂځдԋᕇ ڗԖҔޑၗૻ 4.006 0.697 ךԖۓၗૻሡਔǴૈ շܭԜޗဂ 3.964 0.713 ךૈکځдԋҬඤԖ ሽॶޑၗૻ 4.006 0.684 ךჹޗဂ܌ගٮޑၗૻག ډᅈཀ 3.897 0.731 ךᇡࣁځдߚԋޑཀـ ΨԖۓޑख़ा܄ 3.808 0.717 ךᇡࣁуΕޗဂਔ໔ޑ ߏอቹៜঁΓᡍϩ ٦ޑӭჲ 3.795 0.818 ӧ҂ٰǴךᜫཀୖᆶޗဂ ࢲ 3.805 0.786 5/5!ᔕޗဂࣽמ! ӧၗૻࣽמБय़Ǵѳ֡ኧ֡ଯܭ 3.623Ǵྗ ৡ֡եܭ 0.892Ǵ่݀ᡉҢޗဂύԋᇡࣁޗဂ܌ ගٮᔕޗဂࣽמϝၨୃӳፕᆶ੮ق݈ࣁЬǶ ߄ 6 ၗૻࣽמᄬय़ϐ୷ҁϩ ᄬय़ ᑽໆᚒҞ ѳ֡ኧ ྗৡ ޗဂ܌ගٮޑӕྎ ೯πڀ(ಠϺ࠻)ϐф ૈǴёаቚԋ໔ޑ ϕਏ݀ 3.725 0.892 ޗဂ܌ගٮޑӕྎ ೯πڀ(ջਔૻ)ϐ фૈǴёаቚԋ໔ ޑϕਏ݀ 3.792 0.834 ޗဂ܌ගٮޑߚӕ ྎ೯πڀ(ፕ)ϐ фૈǴёаቚԋ໔ ޑϕਏ݀ 3.929 0.793 ᔕޗဂ ࣽמ ޗဂ܌ගٮޑߚӕ ྎ೯πڀ(౻)ϐф ૈǴёаቚԋ໔ޑ ϕਏ݀ 3.623 0.791 ޗဂ܌ගٮޑߚӕ ྎ೯πڀ(੮ق݈)ϐ фૈǴёаቚԋ໔ ޑϕਏ݀ 3.920 0.761 5/6!۸၈ࡋ! ӧ۸၈ࡋБय़Ǵѳ֡ኧ֡ଯܭ 3.665Ǵྗৡ ֡եܭ 0.819ǴᡉҢޗဂύޑԋჹҁي܌ୖᆶޑ ޗဂౢғᇡӕགǴ٠ӛܻ϶܈ৎΓᙚҁي܌ୖ ᆶޑޗဂǶ ߄ 7 ۸၈ࡋᄬय़ϐ୷ҁϩ ᄬय़ ᑽໆᚒҞ ѳ֡ኧ ྗৡ ҂ٰǴךᝩុࡑӧ೭ঁ ޗဂ 3.952 0.764 ۸၈ࡋ ךӛךޑܻ϶ᙚך܌ ୖᆶޑޗဂ 3.665 0.819
5.
ߞࡋϷӢનϩ
ӧߞࡋБय़Ǵҁࣴز௦Ҕ Cronbach’s α ॶǴٰ ᑽໆӚᡂኧෳໆҞ໔ޑठ܄ǶӚᡂჹᔈϐ Cronbach’s α ॶǴҁࣴزӵ߄ 7 ܌ҢǶҗ၀ ߄ёаวǴӚᡂϐ Cronbach’s α ॶϟܭ 0.7 ᆶ 0.9ϐ໔ǶԶقǴளޑ α ॶऩεܭ 0.7 ޣǴ߄ Ңߞࡋ࣬ଯǴԶϟܭ 0.7 ک 0.6 ໔߾ߞࡋࣁۘёǴ ऩեܭ 0.6 ߡሡϒаܔ๊Ƕ ߄ 8 ߞࡋϩ߄ ᄬय़Ϸᡂ ᚒኧ ኬ ҁኧ Cronbach’s α D1-D4ຏ 1 4 313 0.877423 ޕϩ٦ D5-D7ຏ 2 3 313 0.873673 ᔕޗဂࣽמ A6-A10 5 313 0.814535 ޗဂཀ B1-B16 16 313 0.931663 ۸၈ࡋ C1-C2 2 313 0.724065 ຏ 1ǺӢનڮӜࣁȨᡉ܄ޕϩ٦ȩ ຏ 2ǺӢનڮӜࣁȨᗦ܄ޕϩ٦ȩ6.
ᘜϩ
Ȑȑ H1:Ȩޕϩ٦ȩჹܭȨޗဂཀȩԖ҅य़ ޑቹៜǶ җ߄ 9 ளޕǴޕϩ٦ำࡋຫଯຫૈගଯޗဂ ཀǴԖ 53.46%ޑှញΚǴᡉҢ၀ှញΚڀԖी ޑཀကǶ߯ኧीޑ่݀ࡰрǴޕϩ٦ำࡋૈ ԖਏႣෳޗဂཀϐගଯǴPearson ࣬ᜢ߯ኧၲ 0.73219Ǵ߄Ңޕϩ٦ำࡋຫଯǴຫૈගଯޗဂཀ ǶӢԜǴଷᇥ H1 ᕇளЍǶ߄ 9 ޕϩ٦ჹޗဂཀϐᘜϩ ٩ ᡂ Ծᡂ Pearson ࣬ᜢ߯ኧ tॶ ፓࡕR2 Fॶ ޗ ဂ ཀ ޕϩ٦ 0.73219 18.96 0.5346 359.40 ຏǺ***Pɩ0.0001; Parameter Estimate= 0.72182 H1-1: Ȩᗦ܄ޕϩ٦ȩჹܭȨޗဂཀȩԖ ҅य़ޑቹៜǶ H1-2: Ȩᡉ܄ޕϩ٦ȩჹܭȨޗဂཀȩԖ ҅य़ޑቹៜǶ ߄ 10 ޕϩ٦ჹޗဂཀϐᘜϩ ٩ ᡂ Ծᡂ Pearson ࣬ᜢ߯ኧ tॶ ፓࡕR2 Fॶ ᡉ܄ޕ ϩ٦ 0.68725 16.52 0.4710 272.96 ޗ ဂ ཀ ᗦ܄ޕϩ٦ 0.69507 14.55 0.4815 211.75 ຏǺ***Pɩ0.0001; ᡉ܄ Parameter Estimate=0.61394 ᗦ܄ Parameter Estimate=0.86582 җ߄ 10 ளޕǴᗦ܄ޕϩ٦ำࡋຫଯຫૈග ଯޗဂཀǴԖ 48.15%ޑှញΚǴᡉҢ၀ှញΚڀ ԖीޑཀကǶ߯ኧीޑ่݀ࡰрǴᗦ܄ޕϩ ٦ำࡋૈԖਏႣෳޗဂཀϐගଯǴPearson ࣬ᜢ ߯ኧၲ 0.69507Ǵ߄Ңᗦ܄ޕϩ٦ำࡋຫଯǴຫ ૈගଯޗဂཀǶӢԜǴଷᇥ H1-1 ᕇளЍǶ ӧ߄ 10 ύǴᡉ܄ޕϩ٦ำࡋຫଯຫૈගଯޗဂ ཀǴԖ 47.1%ޑှញΚǴᡉҢ၀ှញΚڀԖी ޑཀကǶ߯ኧीޑ่݀ࡰрǴᡉ܄ޕϩ٦ำࡋ ૈԖਏႣෳޗဂཀϐගଯǴPearson ࣬ᜢ߯ኧၲ 0.68725Ǵ߄Ңᡉ܄ޕϩ٦ำࡋຫଯǴຫૈගଯޗ ဂཀǶӢԜǴଷᇥ H1-2 ᕇளЍǶ ȐΒȑ H2:ȨޗဂཀȩჹܭȨ۸၈ࡋȩԖ҅य़ޑ ቹៜǶ җ߄ 11 ளޕǴޗဂཀຫଯຫૈගଯ۸၈ࡋǴ Ԗ 38.21%ޑှញΚǴᡉҢ၀ှញΚڀԖीޑཀ ကǶ߯ኧीޑ่݀ࡰрǴޗဂཀຫଯຫૈૈග ଯ۸၈ࡋǴPearson ࣬ᜢ߯ኧၲ 0.61977Ǵ߄Ңޗဂ ཀຫଯǴຫૈගଯ۸၈ࡋǶӢԜǴଷᇥ H2 ᕇள ЍǶ ߄ 11 ޗဂཀჹ۸၈ࡋϐᘜϩ ٩ ᡂ Ծᡂ Pearson ࣬ᜢ߯ኧ tॶ ፓࡕR2 Fॶ ۸ ၈ ࡋ ޗဂཀ 0.61977 2.31 0.3821 193.96 ຏǺ***Pɩ0.0001; Parameter Estimate= 0.69454 ȐΟȑ H3:ȨᔕޗဂࣽמȩჹܭȨޗဂཀȩԖ ҅य़ޑቹៜǶ җ߄ 12 ளޕǴᔕޗဂࣽמዴჴૈගଯޗဂ ཀǴԖ 43.44%ޑှញΚǴᡉҢ၀ှញΚڀԖी ޑཀကǶ߯ኧीޑ่݀ࡰрǴᔕޗဂࣽמຫଯ ຫૈගଯޗဂཀǴPearson ࣬ᜢ߯ኧၲ 0.66045Ǵ ߄Ңᔕޗဂࣽמޑ٬ҔዴۓૈԖਏޑගଯޗဂ ཀǶӢԜǴଷᇥ H3 ᕇளЍǶ ߄ 12 ᔕޗဂࣽמჹޗဂཀϐᘜϩ ٩ ᡂ Ծ ᡂ Pearson ࣬ ᜢ߯ኧ tॶ ፓࡕR2 Fॶ ޗ ဂ ཀ ᔕ ޗ ဂ ࣽ מ 0.66045 13.02 0.4344 240.61 ຏǺ***Pɩ0.0001; Parameter Estimate=0.57267 ȐѤȑI4.2;Ȩޕϩ٦ȩϷȨᔕޗဂࣽמȩޑ ٬ҔჹȨޗဂཀȩԖ҅य़ޑቹៜǶ җ߄ 13 ளޕǴᔕޗဂࣽמૈமϯޕϩ٦ ٠ගଯޗဂཀǴԖ 53.46%ޑှញΚǴᡉҢ၀ှញ ΚڀԖीޑཀကǶ߯ኧीޑ่݀ࡰрǴޕϩ ٦کᔕޗဂࣽמΒޣӕਔᏤΕКൂᐱᏤΕ׳ૈ ගଯޗဂཀᏉᆫΚǴҗ Pearson ࣬ᜢ߯ኧၲ 0.68837߄Ңҗޕϩ٦уᔕޗဂࣽמޑ٬ Ҕ׳ૈуமȨޗဂཀȩޑගϲǴຫૈගଯޗဂཀ ǶӢԜǴଷᇥ H3-1 ᕇளЍǶ ߄ 13 ᔕޗဂࣽמуޕϩ٦ჹޗဂཀϐ ᘜϩ ٩ᡂ Ծ ᡂ Pearson ࣬ ᜢ߯ኧ tॶ ፓࡕR2 Fॶ ޕ ϩ٦ ᔕ ޗဂ ޗ ဂ ཀ 0.68837 18.96 0.5346 359.40
ࣽמ ຏǺ***Pɩ0.0001; Parameter Estimate=0.72182
7.
่ፕᆶࡌ
ҁࣴزࣁᔕޗဂࣽמჹޕϩ٦ϐቹ ៜǴԶࢂցૈமϯޗဂཀаගଯԋ۸၈ࡋǶ ၸჴϩϐࡕளޕǴޕϩ٦ჹܭޗဂཀԖ ҅ӛᡉቹៜǴޗဂཀჹܭ۸၈ࡋԖ҅ӛᡉቹ ៜǴᔕޗဂࣽמჹܭޗဂཀ҅ӛᡉቹៜǴ ᔕޗဂࣽמૈமϯޕϩ٦ჹޗဂཀޑቹៜਏ ݀Ƕ ᔕޗဂࣽמځჴ൩ࢂᔈҔܭᔕޗဂޑၗ ૻࣽמ(IT)Ǵҗჴ่݀ளޕǴᔕޗဂࣽמޑ ٬Ҕૈуமޕϩ٦ჹޗဂཀޑቹៜਏ݀Ƕ Davenport & Short(1990)ᇡࣁၗૻࣽמڀԖޕᆅ ޑ୷ҁૈΚǴЪၗૻࣽמёа෧Ͽྎ೯൞ϟǴߦ ԋၗૻӅ٦Ǵ٬ᚈБёаᒿਔޔௗՉྎ೯Ƕ߈ٰ ԃԖӭ࣬ᜢࣴزΨࡰрၗૻࣽמૈЍජޕᆅ Ƕٯӵ Gupta & Govindarajan(2000)ࡰрၗૻࣽמ ૈЍජޕബཥ(Knowledge Creation)ǴRoberts(2000) ࡰрၗૻ೯ૻࣽמૈЍජޕ౽ᙯ(Knowledge Transfer)ǶGrover & Davenport(2001)ࡰрၗૻࣽמ ૈЍජޕጓዸ(knowledge Codification)ǶPan & Leidner(2003)ࡰрࣁΑଓӄౚޑޕϩ٦ǴҔၗ ૻࣽמೱௗჴ፬ޗဂ(practice community)Ƕ ҁࣴزϐϩ่݀ǴΨёٮᆛၡᔼޣբࣁೕ ჄᆶᆅᆛઠᔼၮϐБଞǴӵՖԖਏᏹၗૻמೌ ޑၗک٬ҔǴԶቹៜޗဂཀǴ੮Րԋߡૈ ගଯᆛઠԏǶୖԵЎ
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