{"id":3341,"date":"2026-02-24T20:50:34","date_gmt":"2026-02-24T20:50:34","guid":{"rendered":"https:\/\/www.diagrams-ai.com\/id\/mastering-the-vrio-framework-a-comprehensive-guide-to-strategic-resource-analysis\/"},"modified":"2026-02-24T20:50:34","modified_gmt":"2026-02-24T20:50:34","slug":"mastering-the-vrio-framework-a-comprehensive-guide-to-strategic-resource-analysis","status":"publish","type":"post","link":"https:\/\/www.diagrams-ai.com\/id\/mastering-the-vrio-framework-a-comprehensive-guide-to-strategic-resource-analysis\/","title":{"rendered":"Menguasai Kerangka VRIO: Panduan Komprehensif untuk Analisis Sumber Daya Strategis"},"content":{"rendered":"<h2>Membuka Keunggulan Kompetitif Berkelanjutan<\/h2>\n<p>Dalam lanskap kompleks strategi bisnis modern, memahami <a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/pest-analysis-tool\/\">lingkungan eksternal<\/a> hanyalah separuh pertempuran. Penggerak sejati dari keberhasilan jangka panjang sering terletak di dalam. Untuk menutup kesenjangan antara potensi internal dan dominasi pasar, organisasi beralih ke <strong>Kerangka VRIO<\/strong>. Ini <a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/strategic-analysis-tool\/\">alat strategis<\/a> memungkinkan bisnis mengevaluasi sumber daya dan kemampuan mereka untuk menentukan apakah mereka memiliki keunggulan kompetitif yang berkelanjutan.<\/p>\n<p><img alt=\"Layout of VRIO\" decoding=\"async\" src=\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/VRIO-layout-1024x540.png\"\/><\/p>\n<p>Apakah Anda seorang pendiri startup yang menggunakan <a href=\"https:\/\/www.archimetric.com\/comprehensive-tutorial-visual-paradigm-model-canvas-tool\/\">Kanvas Model Bisnis<\/a> atau seorang strategis korporat yang melakukan <a href=\"https:\/\/www.visual-paradigm.com\/guide\/strategic-analysis\/what-is-swot-analysis\/\">analisis SWOT<\/a>, mengintegrasikan VRIO ke dalam proses perencanaan Anda sangat penting untuk membedakan antara kemenangan sementara dan kesuksesan yang berkelanjutan. Panduan ini mengeksplorasi kedalaman analisis VRIO, memberikan pedoman praktis dan menunjukkan bagaimana alat berbasis AI Visual Paradigm dapat merevolusi perencanaan strategis Anda<a href=\"https:\/\/guides.visual-paradigm.com\/ai-powered-scenario-analysis-software-for-strategic-business-planning\/\">perencanaan strategis<\/a>.<\/p>\n<h2>Konsep Kunci: Menguraikan VRIO<\/h2>\n<p>Kerangka VRIO adalah akronim yang melambangkan empat dimensi yang digunakan untuk mengevaluasi sumber daya perusahaan: <strong>Nilai, Kelangkaan, Kemampuan untuk Ditiru, dan Organisasi<\/strong>. Memahami konsep-konsep ini merupakan dasar untuk analisis yang akurat.<\/p>\n<ul>\n<li><strong>Nilai (V):<\/strong> Apakah sumber daya memungkinkan perusahaan memanfaatkan peluang eksternal atau menetralisir ancaman eksternal? Jika sumber daya tidak menambah nilai, maka akan menyebabkan kerugian kompetitif.<\/li>\n<li><strong>Kelangkaan (R):<\/strong> Apakah sumber daya saat ini dikendalikan hanya oleh sejumlah kecil perusahaan pesaing? Jika sumber daya bernilai tetapi umum, maka hanya memberikan parity kompetitif (Anda hanya mengikuti pasar).<\/li>\n<li><strong>Kemampuan untuk Ditiru (I):<\/strong> Apakah perusahaan yang tidak memiliki sumber daya ini menghadapi kerugian biaya dalam mendapatkan atau mengembangkannya? Jika sumber daya bernilai dan langka tetapi mudah ditiru, maka hanya memberikan keunggulan kompetitif sementara.<\/li>\n<li><strong>Organisasi (O):<\/strong> Apakah perusahaan terorganisasi, siap, dan mampu memanfaatkan potensi kompetitif dari sumber daya ini? Ini mencakup struktur, sistem pelaporan, dan sistem kontrol manajemen.<\/li>\n<\/ul>\n<h2>Pedoman untuk Melakukan Analisis VRIO<\/h2>\n<p>Melakukan analisis VRIO yang menyeluruh membutuhkan pendekatan sistematis. Ikuti pedoman langkah demi langkah ini untuk memastikan penilaian Anda menghasilkan wawasan strategis yang dapat ditindaklanjuti.<\/p>\n<h3>1. Inventarisasi Sumber Daya dan Kemampuan Anda<\/h3>\n<p>Mulailah dengan mencantumkan semua aset yang dapat diraba dan tidak dapat diraba. Ini mencakup aset fisik (mesin, lokasi), sumber daya manusia (staf terampil, kepemimpinan), dan kemampuan organisasi (budaya, reputasi merek, teknologi kepemilikan).<\/p>\n<h3>2. Terapkan Empat Uji Coba Secara Berurutan<\/h3>\n<p>Lanjutkan melalui kerangka kerja VRIO secara berurutan. Berhenti pada langkah di mana jawabannya adalah \u201cTidak\u201d untuk menentukan implikasi kompetitif.<\/p>\n<table>\n<thead>\n<tr>\n<th>Uji Coba<\/th>\n<th>Pertanyaan<\/th>\n<th>Jika Tidak\u2026<\/th>\n<th>Jika Ya\u2026<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Nilai<\/strong><\/td>\n<td>Apakah ini bernilai?<\/td>\n<td>Kekurangan Kompetitif<\/td>\n<td>Lanjut ke Kelangkaan<\/td>\n<\/tr>\n<tr>\n<td><strong>Kelangkaan<\/strong><\/td>\n<td>Apakah ini langka?<\/td>\n<td>Paritas Kompetitif<\/td>\n<td>Lanjut ke Kemampuan Meniru<\/td>\n<\/tr>\n<tr>\n<td><strong>Kemampuan Meniru<\/strong><\/td>\n<td>Apakah sulit untuk ditiru?<\/td>\n<td>Keunggulan Kompetitif Sementara<\/td>\n<td>Lanjut ke Organisasi<\/td>\n<\/tr>\n<tr>\n<td><strong>Organisasi<\/strong><\/td>\n<td>Apakah kita terorganisasi untuk menggunakannya?<\/td>\n<td>Keunggulan Kompetitif yang Tidak Dimanfaatkan<\/td>\n<td><strong>Keunggulan Kompetitif Berkelanjutan<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>3. Analisis Hasil<\/h3>\n<p>Setelah sumber daya Anda dikategorikan, identifikasi di mana letak kelemahan Anda. Sumber daya yang hanya memberikan \u201cParitas\u201d diperlukan untuk tetap beroperasi, tetapi tidak akan membantu Anda menang. Strategi Anda harus difokuskan pada melindungi dan memanfaatkan sumber daya yang menawarkan \u201cKeunggulan Kompetitif Berkelanjutan.\u201d<\/p>\n<h2>VP AI: Meningkatkan VRIO dengan Paradigma Visual<\/h2>\n<p>Tradisional <a href=\"https:\/\/www.visual-paradigm.com\/features\/strategic-analysis-tools\/\">analisis strategis<\/a>dapat memakan waktu dan rentan terhadap bias kognitif. Visual Paradigm Online memanfaatkan AI canggih untuk mengotomatisasi dan meningkatkan proses analisis VRIO, mengubah diagram statis menjadi mesin strategis yang dinamis.<\/p>\n<p><img alt=\"\" decoding=\"async\" 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\"\/><\/p>\n<h3>Generasi Kanvas AI<\/h3>\n<p>Memulai dari awal seringkali merupakan bagian yang paling sulit. Dengan Visual Paradigm, Anda dapat langsung memasukkan prompt seperti \u201cAnalisis VRIO untuk Perusahaan Logistik SaaS.\u201d AI secara instan memetakan sumber daya utama, mengkategorikannya berdasarkan nilai, kelangkaan, dan kemungkinan untuk ditiru. Ini memberikan fondasi struktural segera, menghemat jam-jam brainstorming.<\/p>\n<h3>Ideasi dan Validasi yang Didukung AI<\/h3>\n<p>Salah satu tantangan terbesar adalah objektivitas\u2014menganggap berlebihan tentang keunikan sumber daya Anda sendiri. AI dari Visual Paradigm membantu mengevaluasi benchmark pasar dan sinyal pesaing. Dapat menyarankan apakah suatu aset benar-benar memberikan keunggulan nyata atau hanya mempertahankan kesetaraan dengan standar industri, memastikan strategi Anda dibangun atas realitas, bukan asumsi.<\/p>\n<h3>Analisis dan Rekomendasi Strategis AI<\/h3>\n<p>Di luar kategorisasi sederhana, alat ini menawarkan analisis mendalam. Mengidentifikasi sumber daya yang memiliki potensi menjadi keunggulan jangka panjang jika investasi ditingkatkan. Juga menyoroti area di mana \u201cOrganisasi\u201d kurang\u2014menunjukkan di mana Anda memiliki sumber daya berharga namun kekurangan struktur internal untuk memonetisasi secara efektif.<\/p>\n<h3>Pelaporan Profesional<\/h3>\n<p>Setelah analisis selesai, alat ini memungkinkan Anda mengekspor kanvas dan wawasan yang dihasilkan AI ke format profesional seperti PDF, Word, atau Markdown. Ini memudahkan berbagi dengan pemangku kepentingan, memastikan keputusan strategis didukung visualisasi yang jelas dan berbasis data.<\/p>\n<h2>Contoh Aplikasi Dunia Nyata<\/h2>\n<p>Untuk memvisualisasikan cara kerjanya secara efektif, pertimbangkan skenario-skenario berikut yang berasal dari benchmark industri umum:<\/p>\n<ul>\n<li><strong>Otomotif (Pabrik Mega EV):<\/strong> Sebuah pabrik mungkin<em>Berharga<\/em> dan<em>Langka<\/em> karena kapasitas produksi yang sangat besar. Namun, jika pesaing dapat membangun pabrik serupa (tinggi<em>Kemampuan Ditiru<\/em>), keunggulan bersifat sementara. Jika teknologinya bersifat kepemilikan dan dilindungi, maka menjadi keunggulan yang berkelanjutan.<\/li>\n<li><strong>Layanan Digital (Algoritma Pencarian):<\/strong> Algoritma pencarian Google bersifat Berharga, Langka, dan sangat sulit ditiru karena puluhan tahun data yang memperkuatnya. Karena perusahaan ini sepenuhnya<em>Terorganisasi<\/em> untuk memonetisasi ini melalui iklan, maka ini mewakili keunggulan kompetitif yang berkelanjutan.<\/li>\n<li><strong>Makanan &amp; Minuman (Barista Ahli):<\/strong> Seorang barista ahli bersifat Berharga dan Langka. Namun, tanpa<em>Organisasi<\/em> yang mampu mempertahankan talenta (kontrak, budaya), barista tersebut pergi, dan keunggulan hilang.<\/li>\n<\/ul>\n<h2>Kiat dan Trik untuk Sukses<\/h2>\n<p>Maksimalkan efektivitas analisis VRIO Anda dengan kiat praktis berikut:<\/p>\n<ul>\n<li><strong>Lihat di Luar yang Nyata:<\/strong>Jangan hanya mencantumkan peralatan dan uang tunai. Seringkali, sumber daya yang paling \u201cTidak Dapat Ditiru\u201d bersifat tak nyata, seperti kepercayaan merek, budaya perusahaan, atau rahasia dagang.<\/li>\n<li><strong>Jujurlah tentang Paritas:<\/strong>Sebagian besar sumber daya perusahaan akan menghasilkan paritas kompetitif. Ini wajar. Jangan memaksa label &#8216;Keunggulan Berkelanjutan&#8217; pada sumber daya standar hanya agar grafik terlihat lebih baik.<\/li>\n<li><strong>Perbarui Secara Berkala:<\/strong>Pasaran berubah. Sumber daya yang dulu &#8216;Langka&#8217; tahun lalu mungkin menjadi umum tahun ini (misalnya, teknologi 5G). Gunakan fitur &#8216;Deep Dive&#8217; dari Visual Paradigm untuk memperbarui kanvas Anda secara berkala.<\/li>\n<li><strong>Gabungkan dengan Kanvas Lainnya:<\/strong> VRIO bekerja paling baik ketika digabungkan dengan alat lain dalam <a href=\"https:\/\/www.visual-paradigm.com\/features\/analysis-canvas-tool\/\">Toolkit Kanvas Bisnis<\/a>. Gunakan <a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/templates\/swot-analysis\/\">Analisis SWOT<\/a> untuk mengidentifikasi ancaman eksternal, lalu gunakan VRIO untuk mengetahui apakah Anda memiliki sumber daya internal untuk menghadapinya. Gunakan <strong>Analisis Rantai Nilai<\/strong> untuk menentukan secara tepat di bagian mana dalam operasional Anda nilai sedang diciptakan.<\/li>\n<\/ul>\n<div>\n<div class=\"cl-preview-section\" style='color: rgba(0, 0, 0, 0.75); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; background-color: rgb(243, 243, 243);'>\n<h2 id=\"resource\" style=\"margin-top: 0px; margin-bottom: 1.8em; line-height: 1.33;\">Sumber Daya<\/h2>\n<\/div>\n<div class=\"cl-preview-section\" style='color: rgba(0, 0, 0, 0.75); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; background-color: rgb(243, 243, 243);'>\n<ul style=\"margin-top: 1.2em; margin-bottom: 1.2em; margin-left: 0px;\">\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.archimetric.com\/what-is-the-business-model-canvas-why-use-visual-paradigms-ai-bmc-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Apa Itu Kanvas Model Bisnis? Mengapa Menggunakan Paradigma Visual dan Alat Berbasis AI<\/a>: Panduan komprehensif ini menjelaskan Kanvas Model Bisnis, komponen utamanya, serta bagaimana paradigma visual dan alat berbasis AI meningkatkan perencanaan strategis dan inovasi bisnis.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/business-model-canvas-builder\/editor\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Pembuat Kanvas Model Bisnis Berbasis AI \u2013 Desain Strategi Instan<\/a>: Alat yang didorong oleh AI yang mengotomatisasi pembuatan kanvas model bisnis, menawarkan saran cerdas dan wawasan real-time untuk mempercepat perencanaan bisnis.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai-toolbox.visual-paradigm.com\/app\/canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Alat Kanvas AI \u2013 Desain Cerdas untuk Kerangka Bisnis<\/a>: Aplikasi kanvas berbasis AI yang membantu pengguna menghasilkan dan menyempurnakan model bisnis, proposisi nilai, dan kerangka strategi dengan saran cerdas dan otomatisasi.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.visual-paradigm.com\/solution\/ai-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Alat Kanvas Model Bisnis Berbasis AI \u2013 Pengembangan Strategi Cerdas<\/a>: Solusi berbasis AI yang komprehensif untuk membangun dan menyempurnakan model bisnis dengan wawasan cerdas, umpan balik real-time, dan fitur kolaboratif.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/updates.visual-paradigm.com\/releases\/ai-canvas-editor\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Pembaruan Rilis Editor Kanvas AI<\/a>: Memperkenalkan editor kanvas berbasis AI yang meningkatkan pembuatan diagram melalui saran cerdas dan optimasi tata letak otomatis.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/guides.visual-paradigm.com\/ai-powered-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Panduan Alat Kanvas Model Bisnis Berbasis AI<\/a>: Panduan langkah demi langkah tentang menggunakan alat berbasis AI untuk menghasilkan dan menyempurnakan kanvas model bisnis dengan masukan cerdas dan rekomendasi real-time.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/mission-model-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Kanvas Model Misi | Alat Strategi Berbasis AI oleh VP<\/a>: 28 Oktober 2025 \u2013 Koordinasikan sesi langsung dengan tim Anda menggunakan pengatur waktu bawaan dan ekspor kanvas akhir atau laporan Anda ke format profesional seperti Word, Markdown, atau CSV. \u2026 Kanvas Model Misi dirancang khusus untuk lembaga nirlaba, instansi pemerintah, usaha sosial, dan organisasi mana pun di mana tujuan utama adalah pencapaian misi daripada keuntungan.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.cybermedian.com\/comprehensive-tutorial-ai-powered-business-canvas-toolkit-with-visual-paradigm\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tutorial Komprehensif: Toolkit Kanvas Bisnis Berbasis AI dengan Visual Paradigm<\/a>: Halaman ini menyediakan panduan rinci tentang menggunakan toolkit Kanvas Model Bisnis berbasis AI yang terintegrasi dengan Visual Paradigm untuk pengembangan strategi bisnis otomatis.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/tool\/canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Alat Kanvas AI \u2013 Visual Paradigm<\/a>: Alat yang didorong oleh AI di dalam Visual Paradigm yang memungkinkan pengguna membuat dan menyempurnakan kerangka bisnis melalui otomatisasi cerdas dan masukan berbasis bahasa alami.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.diagrams-ai.com\/blog\/mastering-the-business-model-canvas-with-ai-a-step-by-step-guide-using-visual-paradigm\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Menguasai Kerangka Model Bisnis dengan AI: Panduan Langkah demi Langkah Menggunakan Visual Paradigm<\/a>: Posting blog ini menawarkan panduan terstruktur tentang memanfaatkan kemampuan AI di Visual Paradigm untuk membuat, menyesuaikan, dan mengoptimalkan Kerangka Model Bisnis secara efisien.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/tool\/business-model-canvas-builder\/how-it-works\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Bagaimana Pembuat Kerangka Model Bisnis Berbasis AI Bekerja \u2013 Visual Paradigm<\/a>: Halaman ini menjelaskan fungsi dari Pembuat Kerangka Model Bisnis Berbasis AI, menyoroti bagaimana kecerdasan mesin mengotomatisasi pembuatan kerangka dan generasi wawasan strategis.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/templates\/analysis-canvas\/strategy-tools\/deep-learning-ai-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Kanvas AI Pembelajaran Mendalam | Templat Kanvas Alat Strategi Analisis<\/a>: Sunting Versi Lokal: Kanvas AI Pembelajaran Mendalam (TW) | Kanvas AI Pembelajaran Mendalam (CN) Lihat halaman ini dalam: EN TW CN \u00b7 Visual Paradigm Online (VP Online) adalah perangkat lunak diagram daring yang mendukung kanvas analisis, berbagai jenis grafik, UML, bagan alir, diagram rak, bagan organisasi, pohon keluarga, ERD, denah lantai, dll.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/product-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Kanvas Produk | Alat Strategi Berbasis AI oleh VP<\/a>: Bangun produk yang dicintai orang-orang. Gabungkan strategi, desain, dan umpan balik ke dalam satu ruang visual dengan Kanvas Produk Berbasis AI kami untuk membawa ide ke pasar lebih cepat.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/lean-ux-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Kanvas Lean UX | Alat Strategi Berbasis AI oleh VP<\/a>: 28 Oktober 2025 \u2013 Buat kerangka strategi lengkap dalam sekejap. Cukup jelaskan visi Anda, dan generator kanvas AI akan mengubahnya menjadi kanvas terstruktur yang kaya wawasan, membantu Anda memvisualisasikan, merencanakan, dan menyempurnakan ide besar berikutnya.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/lean-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Kanvas Lean \u2013 Visual Paradigm<\/a>: 28 Oktober 2025 \u2013 Aplikasi kami dirancang sebagai mitra strategis Anda, menyediakan alat cerdas untuk meningkatkan setiap tahap proses perencanaan Anda untuk Kerangka Model Bisnis. \u2026 Punya ide startup? Cukup masukkan \u2018aplikasi seluler untuk pengiriman makanan rumahan lokal\u2019 dan biarkan AI kami membuat Kanvas Lean lengkap, yang menguraikan masalah, solusi, dan metrik utama.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Membuka Keunggulan Kompetitif Berkelanjutan Dalam lanskap kompleks strategi bisnis modern, memahami lingkungan eksternal hanyalah separuh pertempuran. Penggerak sejati dari keberhasilan jangka panjang sering terletak di dalam. Untuk menutup kesenjangan antara potensi internal dan dominasi pasar, organisasi beralih ke Kerangka VRIO. Ini alat strategis memungkinkan bisnis mengevaluasi sumber daya dan kemampuan mereka untuk menentukan apakah mereka memiliki keunggulan kompetitif yang berkelanjutan. Apakah Anda seorang pendiri startup yang menggunakan Kanvas Model Bisnis atau seorang strategis korporat yang melakukan analisis SWOT, mengintegrasikan VRIO ke dalam proses perencanaan Anda sangat penting untuk membedakan antara kemenangan sementara dan kesuksesan yang berkelanjutan. Panduan ini mengeksplorasi kedalaman analisis VRIO, memberikan pedoman praktis dan menunjukkan bagaimana alat berbasis AI Visual Paradigm dapat merevolusi perencanaan strategis Andaperencanaan strategis. Konsep Kunci: Menguraikan VRIO Kerangka VRIO adalah akronim yang melambangkan empat dimensi yang digunakan untuk mengevaluasi sumber daya perusahaan: Nilai, Kelangkaan, Kemampuan untuk Ditiru, dan Organisasi. Memahami konsep-konsep ini merupakan dasar untuk analisis yang akurat. Nilai (V): Apakah sumber daya memungkinkan perusahaan memanfaatkan peluang eksternal atau menetralisir ancaman eksternal? Jika sumber daya tidak menambah nilai, maka akan menyebabkan kerugian kompetitif. Kelangkaan (R): Apakah sumber daya saat ini dikendalikan hanya oleh sejumlah kecil perusahaan pesaing? Jika sumber daya bernilai tetapi umum, maka hanya memberikan parity kompetitif (Anda hanya mengikuti pasar). Kemampuan untuk Ditiru (I): Apakah perusahaan yang tidak memiliki sumber daya ini menghadapi kerugian biaya dalam mendapatkan atau mengembangkannya? Jika sumber daya bernilai dan langka tetapi mudah ditiru, maka hanya memberikan keunggulan kompetitif sementara. Organisasi (O): Apakah perusahaan terorganisasi, siap, dan mampu memanfaatkan potensi kompetitif dari sumber daya ini? Ini mencakup struktur, sistem pelaporan, dan sistem kontrol manajemen. Pedoman untuk Melakukan Analisis VRIO Melakukan analisis VRIO yang menyeluruh membutuhkan pendekatan sistematis. Ikuti pedoman langkah demi langkah ini untuk memastikan penilaian Anda menghasilkan wawasan strategis yang dapat ditindaklanjuti. 1. Inventarisasi Sumber Daya dan Kemampuan Anda Mulailah dengan mencantumkan semua aset yang dapat diraba dan tidak dapat diraba. Ini mencakup aset fisik (mesin, lokasi), sumber daya manusia (staf terampil, kepemimpinan), dan kemampuan organisasi (budaya, reputasi merek, teknologi kepemilikan). 2. Terapkan Empat Uji Coba Secara Berurutan Lanjutkan melalui kerangka kerja VRIO secara berurutan. Berhenti pada langkah di mana jawabannya adalah \u201cTidak\u201d untuk menentukan implikasi kompetitif. Uji Coba Pertanyaan Jika Tidak\u2026 Jika Ya\u2026 Nilai Apakah ini bernilai? Kekurangan Kompetitif Lanjut ke Kelangkaan Kelangkaan Apakah ini langka? Paritas Kompetitif Lanjut ke Kemampuan Meniru Kemampuan Meniru Apakah sulit untuk ditiru? Keunggulan Kompetitif Sementara Lanjut ke Organisasi Organisasi Apakah kita terorganisasi untuk menggunakannya? Keunggulan Kompetitif yang Tidak Dimanfaatkan Keunggulan Kompetitif Berkelanjutan 3. Analisis Hasil Setelah sumber daya Anda dikategorikan, identifikasi di mana letak kelemahan Anda. Sumber daya yang hanya memberikan \u201cParitas\u201d diperlukan untuk tetap beroperasi, tetapi tidak akan membantu Anda menang. Strategi Anda harus difokuskan pada melindungi dan memanfaatkan sumber daya yang menawarkan \u201cKeunggulan Kompetitif Berkelanjutan.\u201d VP AI: Meningkatkan VRIO dengan Paradigma Visual Tradisional analisis strategisdapat memakan waktu dan rentan terhadap bias kognitif. Visual Paradigm Online memanfaatkan AI canggih untuk mengotomatisasi dan meningkatkan proses analisis VRIO, mengubah diagram statis menjadi mesin strategis yang dinamis. Generasi Kanvas AI Memulai dari awal seringkali merupakan bagian yang paling sulit. Dengan Visual Paradigm, Anda dapat langsung memasukkan prompt seperti \u201cAnalisis VRIO untuk Perusahaan Logistik SaaS.\u201d AI secara instan memetakan sumber daya utama, mengkategorikannya berdasarkan nilai, kelangkaan, dan kemungkinan untuk ditiru. Ini memberikan fondasi struktural segera, menghemat jam-jam brainstorming. Ideasi dan Validasi yang Didukung AI Salah satu tantangan terbesar adalah objektivitas\u2014menganggap berlebihan tentang keunikan sumber daya Anda sendiri. AI dari Visual Paradigm membantu mengevaluasi benchmark pasar dan sinyal pesaing. Dapat menyarankan apakah suatu aset benar-benar memberikan keunggulan nyata atau hanya mempertahankan kesetaraan dengan standar industri, memastikan strategi Anda dibangun atas realitas, bukan asumsi. Analisis dan Rekomendasi Strategis AI Di luar kategorisasi sederhana, alat ini menawarkan analisis mendalam. Mengidentifikasi sumber daya yang memiliki potensi menjadi keunggulan jangka panjang jika investasi ditingkatkan. Juga menyoroti area di mana \u201cOrganisasi\u201d kurang\u2014menunjukkan di mana Anda memiliki sumber daya berharga namun kekurangan struktur internal untuk memonetisasi secara efektif. Pelaporan Profesional Setelah analisis selesai, alat ini memungkinkan Anda mengekspor kanvas dan wawasan yang dihasilkan AI ke format profesional seperti PDF, Word, atau Markdown. Ini memudahkan berbagi dengan pemangku kepentingan, memastikan keputusan strategis didukung visualisasi yang jelas dan berbasis data. Contoh Aplikasi Dunia Nyata Untuk memvisualisasikan cara kerjanya secara efektif, pertimbangkan skenario-skenario berikut yang berasal dari benchmark industri umum: Otomotif (Pabrik Mega EV): Sebuah pabrik mungkinBerharga danLangka karena kapasitas produksi yang sangat besar. Namun, jika pesaing dapat membangun pabrik serupa (tinggiKemampuan Ditiru), keunggulan bersifat sementara. Jika teknologinya bersifat kepemilikan dan dilindungi, maka menjadi keunggulan yang berkelanjutan. Layanan Digital (Algoritma Pencarian): Algoritma pencarian Google bersifat Berharga, Langka, dan sangat sulit ditiru karena puluhan tahun data yang memperkuatnya. Karena perusahaan ini sepenuhnyaTerorganisasi untuk memonetisasi ini melalui iklan, maka ini mewakili keunggulan kompetitif yang berkelanjutan. Makanan &amp; Minuman (Barista Ahli): Seorang barista ahli bersifat Berharga dan Langka. Namun, tanpaOrganisasi yang mampu mempertahankan talenta (kontrak, budaya), barista tersebut pergi, dan keunggulan hilang. Kiat dan Trik untuk Sukses Maksimalkan efektivitas analisis VRIO Anda dengan kiat praktis berikut: Lihat di Luar yang Nyata:Jangan hanya mencantumkan peralatan dan uang tunai. Seringkali, sumber daya yang paling \u201cTidak Dapat Ditiru\u201d bersifat tak nyata, seperti kepercayaan merek, budaya perusahaan, atau rahasia dagang. Jujurlah tentang Paritas:Sebagian besar sumber daya perusahaan akan menghasilkan paritas kompetitif. Ini wajar. Jangan memaksa label &#8216;Keunggulan Berkelanjutan&#8217; pada sumber daya standar hanya agar grafik terlihat lebih baik. Perbarui Secara Berkala:Pasaran berubah. Sumber daya yang dulu &#8216;Langka&#8217; tahun lalu mungkin menjadi umum tahun ini (misalnya, teknologi 5G). Gunakan fitur &#8216;Deep Dive&#8217; dari Visual Paradigm untuk memperbarui kanvas Anda secara berkala. Gabungkan dengan Kanvas Lainnya: VRIO bekerja paling baik ketika digabungkan dengan alat lain dalam Toolkit Kanvas Bisnis. Gunakan Analisis SWOT untuk mengidentifikasi ancaman eksternal, lalu gunakan VRIO untuk mengetahui apakah Anda memiliki sumber daya internal untuk menghadapinya. Gunakan Analisis Rantai Nilai untuk menentukan secara tepat di bagian mana dalam operasional Anda nilai sedang diciptakan. Sumber Daya Apa Itu Kanvas Model Bisnis? Mengapa Menggunakan Paradigma Visual dan Alat Berbasis AI: Panduan komprehensif ini menjelaskan Kanvas Model Bisnis, komponen utamanya, serta bagaimana paradigma visual dan alat berbasis AI meningkatkan perencanaan strategis<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_title":"Menguasai Analisis VRIO: Panduan Lengkap & Alat AI","_yoast_wpseo_metadesc":"Buka keunggulan kompetitif yang berkelanjutan dengan panduan komprehensif kami tentang Analisis VRIO. Pelajari konsep kunci, panduan langkah demi langkah, dan bagaimana AI Visual Paradigm meningkatkan perencanaan strategis.","fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-3341","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Menguasai Analisis VRIO: Panduan Lengkap &amp; Alat AI<\/title>\n<meta name=\"description\" content=\"Buka keunggulan kompetitif yang berkelanjutan dengan panduan komprehensif kami tentang Analisis VRIO. 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