{"id":4661,"date":"2025-12-29T02:41:27","date_gmt":"2025-12-29T02:41:27","guid":{"rendered":"https:\/\/www.diagrams-ai.com\/id\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/"},"modified":"2025-12-29T02:41:27","modified_gmt":"2025-12-29T02:41:27","slug":"mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model","status":"publish","type":"post","link":"https:\/\/www.diagrams-ai.com\/id\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/","title":{"rendered":"Menguasai Penyelarasan Organisasi: Panduan Komprehensif tentang Model McKinsey 7S"},"content":{"rendered":"<p>Di dunia strategi bisnis yang kompleks, memiliki rencana cemerlang hanyalah separuh pertarungan. Tantangan sejati sering terletak pada pelaksanaan dan keselarasan. Organisasi adalah sistem hidup di mana perubahan di satu bidang akan menimbulkan dampak pada bidang lainnya. Untuk menghadapi kompleksitas ini, para pemimpin mengandalkan kerangka kerja yang kuat agar setiap bagian bisnis bergerak ke arah yang sama. Salah satu alat yang paling tahan lama dan efektif di antaranya adalah Model McKinsey 7S.<\/p>\n<p><img alt=\"McKinsey 7S Model layout\" decoding=\"async\" src=\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/McKinsey-7S-Model-layout-1024x574.png\"\/><\/p>\n<p>Panduan ini mengeksplorasi kedalaman kerangka kerja McKinsey 7S, komponen utama dari <a href=\"https:\/\/www.archimetric.com\/comprehensive-tutorial-visual-paradigm-model-canvas-tool\/\">Toolkit Bisnis Canvas Utama<\/a>. Kami akan menganalisis konsep-konsep kunci tersebut, memberikan panduan langkah demi langkah untuk penerapannya, serta menunjukkan bagaimana Kecerdasan Buatan (AI) dapat merevolusi cara Anda menganalisis dan menyelaraskan organisasi Anda.<\/p>\n<h2>Konsep Kunci: Memecahkan Kerangka 7S<\/h2>\n<p>Model McKinsey 7S adalah alat strategis yang dirancang untuk mengevaluasi efektivitas organisasi. Berbeda dengan kerangka kerja yang hanya melihat faktor-faktor eksternal (seperti PESTLE) atau posisi kompetitif (seperti Lima Kekuatan Porter), Model 7S berfokus pada keselarasan internal. Premisnya sederhana: agar organisasi berkinerja baik, tujuh elemen khusus harus selaras dan saling mendukung.<\/p>\n<p>Tujuh elemen ini dikategorikan menjadi elemen &#8216;Keras&#8217; dan &#8216;Lembut&#8217;. Memahami perbedaan ini sangat penting untuk analisis yang efektif.<\/p>\n<h3>Elemen-Elemen Keras<\/h3>\n<p>Ini adalah hal-hal yang nyata, lebih mudah diidentifikasi, dan secara langsung dipengaruhi oleh keputusan manajemen.<\/p>\n<ul>\n<li><strong>Strategi:<\/strong> Rencana yang dirancang untuk membangun dan mempertahankan keunggulan kompetitif atas pesaing. Ini menggambarkan jalur yang ingin diambil organisasi untuk mencapai tujuannya.<\/li>\n<li><strong>Struktur:<\/strong> Cara organisasi dibentuk dan siapa yang melapor kepada siapa. Ini mencakup bagan organisasi dan hierarki otoritas.<\/li>\n<li><strong>Sistem:<\/strong> Kegiatan dan prosedur harian yang dilakukan staf untuk menyelesaikan pekerjaan. Ini mencakup segala hal mulai dari sistem TI hingga prosedur keuangan dan alur kerja SDM.<\/li>\n<\/ul>\n<h3>Elemen-Elemen Lembut<\/h3>\n<p>Ini adalah hal-hal yang tak terlihat, lebih sulit dijelaskan, dan dipengaruhi oleh budaya. Namun, sering kali sama pentingnya dengan elemen keras dalam menentukan keberhasilan.<\/p>\n<ul>\n<li><strong>Nilai-Nilai Bersama:<\/strong> Inti dari model ini. Ini adalah nilai-nilai dasar perusahaan yang tercermin dalam budaya perusahaan dan etos kerja umum. Mereka menghubungkan setiap elemen lainnya.<\/li>\n<li><strong>Gaya:<\/strong> Gaya kepemimpinan yang diterapkan. Ini mencakup gaya budaya organisasi dan bagaimana manajer kunci bersikap dalam mencapai tujuan organisasi.<\/li>\n<li><strong>Staf:<\/strong> Karyawan dan kemampuan umum mereka. Bukan hanya soal jumlah tenaga kerja, tetapi juga manajemen bakat dan bagaimana tenaga kerja dibina.<\/li>\n<li><strong>Keterampilan:<\/strong> Keterampilan dan kompetensi nyata dari karyawan yang bekerja di perusahaan. Ini menjawab pertanyaan: &#8216;Apa yang paling kita lakukan dengan baik?&#8217;<\/li>\n<\/ul>\n<h2>Panduan: Melaksanakan Analisis McKinsey 7S<\/h2>\n<p>Menggunakan Model McKinsey 7S membutuhkan pendekatan yang terstruktur. Baik Anda seorang pendiri startup yang menggunakan Toolkit Bisnis Canvas atau seorang strategis korporat, ikuti panduan ini untuk memastikan analisis yang menyeluruh.<\/p>\n<h3>Langkah 1: Menilai Kondisi Saat Ini<\/h3>\n<p>Mulailah dengan memetakan bagaimana organisasi Anda berfungsi saat ini di seluruh tujuh dimensi. Bersikaplah jujur dan kritis. Apakah sistem Anda sudah usang? Apakah struktur Anda menghambat strategi Anda?<\/p>\n<ul>\n<li><strong><a href=\"https:\/\/circle.visual-paradigm.com\/docs\/impact-analysis\/analysis-diagram\/how-to-use-analysis-diagram-to-visualize-dependencies-between-elements\/\">Ulas Ketergantungan<\/a>:<\/strong>Cari celahnya. Misalnya, apakah <em>Struktur<\/em> (hirarkis) bertentangan dengan <em>Strategi<\/em> (inovasi agil)?<\/li>\n<li><strong>Kumpulkan Data:<\/strong>Gunakan survei, wawancara, dan observasi untuk menilai elemen-elemen &#8216;Lunak&#8217; seperti Gaya dan Nilai Bersama.<\/li>\n<\/ul>\n<h3>Langkah 2: Tentukan Kondisi Masa Depan<\/h3>\n<p>Tentukan di mana organisasi perlu berada. Jika Anda meluncurkan produk baru atau memasuki pasar baru, bagaimana ketujuh elemen tersebut perlu berubah untuk mendukung tujuan tersebut?<\/p>\n<h3><a href=\"https:\/\/www.visual-paradigm.com\/guide\/bpmn\/business-procses-modeling-and-gap-analysis\/\">Langkah 3: Analisis Celah<\/a><\/h3>\n<p>Bandingkan kondisi saat ini dengan kondisi masa depan yang diinginkan. Perbedaan-perbedaan tersebut menyoroti area yang memerlukan intervensi.<\/p>\n<h3>Langkah 4: Kembangkan Rencana Tindakan<\/h3>\n<p>Buat peta jalan untuk menutup celah-celah tersebut. Ingat bahwa mengubah satu elemen akan <a href=\"https:\/\/www.visual-paradigm.com\/features\/impact-analysis-tools\/\">mempengaruhi elemen lainnya<\/a>. Jika Anda memperkenalkan <em>Sistem<\/em> (misalnya, CRM baru), Anda mungkin perlu meningkatkan <em>Keterampilan<\/em> (pelatihan) dan sesuaikan <em>Struktur<\/em> (peran dukungan TI).<\/p>\n<h2>VP AI: Bagaimana Visual Paradigm AI Meningkatkan Analisis Strategis<\/h2>\n<p>Analisis strategis tradisional bisa memakan waktu lama dan rentan terhadap bias.<a href=\"https:\/\/www.archimetric.com\/what-is-the-business-model-canvas-why-use-visual-paradigms-ai-bmc-tool\/\">Alat Canvas berbasis AI dari Visual Paradigm<\/a> mengubah Model McKinsey 7S dari diagram statis menjadi ruang kerja dinamis dan cerdas.<\/p>\n<p><img alt=\"\" decoding=\"async\" src=\"data:image\/png;base64,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\"\/><\/p>\n<h3>Generasi Canvas Otomatis<\/h3>\n<p>Memulai dari halaman kosong seringkali merupakan bagian tersulit dari perencanaan strategis. Dengan Visual Paradigm AI, Anda dapat menghasilkan seluruh canvas 7S dari satu permintaan saja. Misalnya, dengan memasukkan &#8216;Analisis McKinsey 7S untuk Hiburan Langsung Modern&#8217;, AI langsung memetakan semua tujuh elemen berdasarkan standar industri, menghemat jam-jam waktu awal penyusunan draf.<\/p>\n<h3>Ideasi dan Wawasan yang Didukung AI<\/h3>\n<p>Hambatan dalam kreativitas dapat menghambat analisis. Jika Anda tidak yakin bagaimana mendefinisikan &#8216;Nilai Bersama&#8217; atau mengidentifikasi &#8216;Keterampilan&#8217; kritis untuk industri khusus, fitur AI dapat membantu. Dengan meninjau konteks organisasi dan pola industri, AI memberikan saran yang dapat diambil tindakan di seluruh tujuh dimensi, memastikan model Anda komprehensif.<\/p>\n<h3>Analisis Strategis Mendalam dan Rekomendasi<\/h3>\n<p><a href=\"https:\/\/www.visual-paradigm.com\/features\/visual-modeling-tool\/\">Alat-alat Visual Paradigm<\/a> bergerak melampaui pemetaan sederhana. Sistem dapat menjalankan analisis mendalam untuk mengidentifikasi ketidaksesuaian potensial dan memberikan rekomendasi. Ini mungkin menyoroti bahwa saat ini <em>Staf<\/em> kapasitas tidak memadai untuk strategi agresif Anda <em>Strategi<\/em>, memungkinkan Anda mengatasi risiko secara proaktif.<\/p>\n<h3>Pelaporan Profesional<\/h3>\n<p>Setelah analisis selesai, alat ini memfasilitasi komunikasi. Anda dapat mengekspor kanvas Anda dan wawasan yang dihasilkan AI ke dalam format profesional seperti PDF atau Word. Ini sangat penting untuk keselarasan pemangku kepentingan, memastikan bahwa wawasan yang diperoleh disampaikan secara jelas kepada pimpinan eksekutif.<\/p>\n<h2>Kiat dan Trik untuk Sukses<\/h2>\n<p>Untuk mendapatkan manfaat maksimal dari Model McKinsey 7S dan <a href=\"https:\/\/online.visual-paradigm.com\/knowledge\/business-model-canvas\/business-model-canvas-guide-with-examples\/\">Toolkit Kanvas Bisnis<\/a>, pertimbangkan kiat-kiat praktis berikut:<\/p>\n<ul>\n<li><strong>Mulailah dengan Nilai Bersama:<\/strong> Karena mereka berada di tengah model, Nilai Bersama memengaruhi setiap elemen lainnya. Jika nilai-nilai ini tidak jelas, elemen lain dalam model akan kesulitan untuk selaras.<\/li>\n<li><strong>Jangan meremehkan S-Sempurna:<\/strong> Mudah untuk fokus pada Strategi dan Struktur karena keduanya bersifat nyata. Namun, sebagian besar inisiatif manajemen perubahan gagal karena Gaya, Staf, keterampilan, atau Nilai.<\/li>\n<li><strong>Gunakan Beberapa Tampilan:<\/strong> Saat menggunakan alat digital, ganti antara tampilan kanvas holistik untuk melihat gambaran besar dan tampilan fokus untuk menyelami bagian tertentu (seperti Sistem) tanpa gangguan.<\/li>\n<li><strong>Lakukan Iterasi Secara Berkala:<\/strong> Model 7S mewakili gambaran pada satu waktu tertentu. Seiring perubahan pasar (faktor eksternal), keselarasan internal Anda harus berkembang. Anggap ini sebagai dokumen hidup, bukan sekadar kegiatan satu kali.<\/li>\n<li><strong>Manfaatkan Seluruh Toolkit:<\/strong> Model McKinsey 7S sangat kuat, tetapi bekerja paling baik jika dipasangkan dengan alat lain. Gunakan <em>Kanvas Analisis SWOT<\/em> untuk memahami lingkungan eksternal sebelum menggunakan 7S untuk menyelaraskan sumber daya internal Anda menghadapi tantangan-tantangan tersebut.<\/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 &amp; Alat AI<\/a>: Panduan komprehensif ini menjelaskan Kanvas Model Bisnis, komponen intinya, dan bagaimana paradigma visual dan alat berbasis AI meningkatkan perencanaan strategis serta 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 kerangka 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 AI Canvas \u2013 Desain Cerdas untuk Kerangka Bisnis<\/a>: Aplikasi kanvas yang didukung AI yang membantu pengguna membuat dan menyempurnakan model bisnis, proposisi nilai, serta 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 Kerangka Model Bisnis AI \u2013 Pengembangan Strategi Cerdas<\/a>: Solusi komprehensif yang ditingkatkan oleh AI 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 AI Canvas<\/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 Kerangka Model Bisnis Berbasis AI<\/a>: Panduan langkah demi langkah tentang menggunakan alat yang ditingkatkan oleh AI untuk membuat dan menyempurnakan kerangka model bisnis dengan input 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);\">Kerangka 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 kerangka akhir atau laporan Anda ke format profesional seperti Word, Markdown, atau CSV. \u2026 Kerangka Model Misi dirancang khusus untuk lembaga nirlaba, lembaga pemerintah, usaha sosial, dan organisasi mana pun di mana tujuan utama adalah pencapaian misi, bukan 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 kerangka model bisnis yang ditingkatkan oleh 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 AI Canvas \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);\">Cara Kerja Pembuat Kerangka Model Bisnis Berbasis AI \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 Analisis Alat Strategi<\/a>: Edit Versi Lokal: Kanvas AI Pembelajaran Mendalam (TW) | Kanvas AI Pembelajaran Mendalam (CN) Tampilkan 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 mengubahnya menjadi kanvas yang terstruktur dan kaya wawasan yang 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 menjelaskan masalah, solusi, dan metrik kunci.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Di dunia strategi bisnis yang kompleks, memiliki rencana cemerlang hanyalah separuh pertarungan. Tantangan sejati sering terletak pada pelaksanaan dan keselarasan. Organisasi adalah sistem hidup di mana perubahan di satu bidang akan menimbulkan dampak pada bidang lainnya. Untuk menghadapi kompleksitas ini, para pemimpin mengandalkan kerangka kerja yang kuat agar setiap bagian bisnis bergerak ke arah yang sama. Salah satu alat yang paling tahan lama dan efektif di antaranya adalah Model McKinsey 7S. Panduan ini mengeksplorasi kedalaman kerangka kerja McKinsey 7S, komponen utama dari Toolkit Bisnis Canvas Utama. Kami akan menganalisis konsep-konsep kunci tersebut, memberikan panduan langkah demi langkah untuk penerapannya, serta menunjukkan bagaimana Kecerdasan Buatan (AI) dapat merevolusi cara Anda menganalisis dan menyelaraskan organisasi Anda. Konsep Kunci: Memecahkan Kerangka 7S Model McKinsey 7S adalah alat strategis yang dirancang untuk mengevaluasi efektivitas organisasi. Berbeda dengan kerangka kerja yang hanya melihat faktor-faktor eksternal (seperti PESTLE) atau posisi kompetitif (seperti Lima Kekuatan Porter), Model 7S berfokus pada keselarasan internal. Premisnya sederhana: agar organisasi berkinerja baik, tujuh elemen khusus harus selaras dan saling mendukung. Tujuh elemen ini dikategorikan menjadi elemen &#8216;Keras&#8217; dan &#8216;Lembut&#8217;. Memahami perbedaan ini sangat penting untuk analisis yang efektif. Elemen-Elemen Keras Ini adalah hal-hal yang nyata, lebih mudah diidentifikasi, dan secara langsung dipengaruhi oleh keputusan manajemen. Strategi: Rencana yang dirancang untuk membangun dan mempertahankan keunggulan kompetitif atas pesaing. Ini menggambarkan jalur yang ingin diambil organisasi untuk mencapai tujuannya. Struktur: Cara organisasi dibentuk dan siapa yang melapor kepada siapa. Ini mencakup bagan organisasi dan hierarki otoritas. Sistem: Kegiatan dan prosedur harian yang dilakukan staf untuk menyelesaikan pekerjaan. Ini mencakup segala hal mulai dari sistem TI hingga prosedur keuangan dan alur kerja SDM. Elemen-Elemen Lembut Ini adalah hal-hal yang tak terlihat, lebih sulit dijelaskan, dan dipengaruhi oleh budaya. Namun, sering kali sama pentingnya dengan elemen keras dalam menentukan keberhasilan. Nilai-Nilai Bersama: Inti dari model ini. Ini adalah nilai-nilai dasar perusahaan yang tercermin dalam budaya perusahaan dan etos kerja umum. Mereka menghubungkan setiap elemen lainnya. Gaya: Gaya kepemimpinan yang diterapkan. Ini mencakup gaya budaya organisasi dan bagaimana manajer kunci bersikap dalam mencapai tujuan organisasi. Staf: Karyawan dan kemampuan umum mereka. Bukan hanya soal jumlah tenaga kerja, tetapi juga manajemen bakat dan bagaimana tenaga kerja dibina. Keterampilan: Keterampilan dan kompetensi nyata dari karyawan yang bekerja di perusahaan. Ini menjawab pertanyaan: &#8216;Apa yang paling kita lakukan dengan baik?&#8217; Panduan: Melaksanakan Analisis McKinsey 7S Menggunakan Model McKinsey 7S membutuhkan pendekatan yang terstruktur. Baik Anda seorang pendiri startup yang menggunakan Toolkit Bisnis Canvas atau seorang strategis korporat, ikuti panduan ini untuk memastikan analisis yang menyeluruh. Langkah 1: Menilai Kondisi Saat Ini Mulailah dengan memetakan bagaimana organisasi Anda berfungsi saat ini di seluruh tujuh dimensi. Bersikaplah jujur dan kritis. Apakah sistem Anda sudah usang? Apakah struktur Anda menghambat strategi Anda? Ulas Ketergantungan:Cari celahnya. Misalnya, apakah Struktur (hirarkis) bertentangan dengan Strategi (inovasi agil)? Kumpulkan Data:Gunakan survei, wawancara, dan observasi untuk menilai elemen-elemen &#8216;Lunak&#8217; seperti Gaya dan Nilai Bersama. Langkah 2: Tentukan Kondisi Masa Depan Tentukan di mana organisasi perlu berada. Jika Anda meluncurkan produk baru atau memasuki pasar baru, bagaimana ketujuh elemen tersebut perlu berubah untuk mendukung tujuan tersebut? Langkah 3: Analisis Celah Bandingkan kondisi saat ini dengan kondisi masa depan yang diinginkan. Perbedaan-perbedaan tersebut menyoroti area yang memerlukan intervensi. Langkah 4: Kembangkan Rencana Tindakan Buat peta jalan untuk menutup celah-celah tersebut. Ingat bahwa mengubah satu elemen akan mempengaruhi elemen lainnya. Jika Anda memperkenalkan Sistem (misalnya, CRM baru), Anda mungkin perlu meningkatkan Keterampilan (pelatihan) dan sesuaikan Struktur (peran dukungan TI). VP AI: Bagaimana Visual Paradigm AI Meningkatkan Analisis Strategis Analisis strategis tradisional bisa memakan waktu lama dan rentan terhadap bias.Alat Canvas berbasis AI dari Visual Paradigm mengubah Model McKinsey 7S dari diagram statis menjadi ruang kerja dinamis dan cerdas. Generasi Canvas Otomatis Memulai dari halaman kosong seringkali merupakan bagian tersulit dari perencanaan strategis. Dengan Visual Paradigm AI, Anda dapat menghasilkan seluruh canvas 7S dari satu permintaan saja. Misalnya, dengan memasukkan &#8216;Analisis McKinsey 7S untuk Hiburan Langsung Modern&#8217;, AI langsung memetakan semua tujuh elemen berdasarkan standar industri, menghemat jam-jam waktu awal penyusunan draf. Ideasi dan Wawasan yang Didukung AI Hambatan dalam kreativitas dapat menghambat analisis. Jika Anda tidak yakin bagaimana mendefinisikan &#8216;Nilai Bersama&#8217; atau mengidentifikasi &#8216;Keterampilan&#8217; kritis untuk industri khusus, fitur AI dapat membantu. Dengan meninjau konteks organisasi dan pola industri, AI memberikan saran yang dapat diambil tindakan di seluruh tujuh dimensi, memastikan model Anda komprehensif. Analisis Strategis Mendalam dan Rekomendasi Alat-alat Visual Paradigm bergerak melampaui pemetaan sederhana. Sistem dapat menjalankan analisis mendalam untuk mengidentifikasi ketidaksesuaian potensial dan memberikan rekomendasi. Ini mungkin menyoroti bahwa saat ini Staf kapasitas tidak memadai untuk strategi agresif Anda Strategi, memungkinkan Anda mengatasi risiko secara proaktif. Pelaporan Profesional Setelah analisis selesai, alat ini memfasilitasi komunikasi. Anda dapat mengekspor kanvas Anda dan wawasan yang dihasilkan AI ke dalam format profesional seperti PDF atau Word. Ini sangat penting untuk keselarasan pemangku kepentingan, memastikan bahwa wawasan yang diperoleh disampaikan secara jelas kepada pimpinan eksekutif. Kiat dan Trik untuk Sukses Untuk mendapatkan manfaat maksimal dari Model McKinsey 7S dan Toolkit Kanvas Bisnis, pertimbangkan kiat-kiat praktis berikut: Mulailah dengan Nilai Bersama: Karena mereka berada di tengah model, Nilai Bersama memengaruhi setiap elemen lainnya. Jika nilai-nilai ini tidak jelas, elemen lain dalam model akan kesulitan untuk selaras. Jangan meremehkan S-Sempurna: Mudah untuk fokus pada Strategi dan Struktur karena keduanya bersifat nyata. Namun, sebagian besar inisiatif manajemen perubahan gagal karena Gaya, Staf, keterampilan, atau Nilai. Gunakan Beberapa Tampilan: Saat menggunakan alat digital, ganti antara tampilan kanvas holistik untuk melihat gambaran besar dan tampilan fokus untuk menyelami bagian tertentu (seperti Sistem) tanpa gangguan. Lakukan Iterasi Secara Berkala: Model 7S mewakili gambaran pada satu waktu tertentu. Seiring perubahan pasar (faktor eksternal), keselarasan internal Anda harus berkembang. Anggap ini sebagai dokumen hidup, bukan sekadar kegiatan satu kali. Manfaatkan Seluruh Toolkit: Model McKinsey 7S sangat kuat, tetapi bekerja paling baik jika dipasangkan dengan alat lain. Gunakan Kanvas Analisis SWOT untuk memahami lingkungan eksternal sebelum menggunakan 7S untuk menyelaraskan sumber daya internal Anda menghadapi tantangan-tantangan tersebut. Sumber Daya Apa Itu Kanvas Model Bisnis? Mengapa Menggunakan Paradigma Visual &amp; Alat AI: Panduan komprehensif ini menjelaskan Kanvas Model Bisnis, komponen<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4661","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Panduan Utama untuk Analisis Model McKinsey 7S | Visual Paradigm<\/title>\n<meta name=\"description\" content=\"Kuasai keselarasan organisasi dengan Model McKinsey 7S. 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