September 30, 2023

a. Online Registration: https://s.id/2ndICMSME-OnlineRegistration
b. Fullpaper Submission: https://s.id/2ndICMSME-AbstractFullpaperSubmission
c. Payment submission: https://s.id/2ndICMSME-Payment
d. Template: https://s.id/2ndICMSME-Template

CALL FOR PAPERS

15TH INTERNATIONAL CONFERENCE ON ISLAMIC ECONOMICS AND FINANCE (15TH ICIEF)
Tuesday 12th – Thursday 14th December 2023
Venue: Kuala Lumpur

Theme: Driving the Agenda for a Sustainable Humane Economy

ORGANISERS
Kulliyyah of Economics and Management Sciences, International Islamic University Malaysia (IIUM) &

International Association of Islamic Economics (IAIE)
 

IMPORTANT DATES
Paper contributors are advised to observe the following deadlines:
● Papers submission deadline:  15th August 2023
● Notification of acceptance of papers:  15th October 2023
● Deadline for presenters and participants registration: 15th November 2023

https://conference.iium.edu.my/icief2023/

INTRODUCTION
The First International Conference on Islamic Economics held in Makkah al-Mukarramah in 1976, was the watershed for the new discipline of ‘Islamic Economics’. Almost five decades later, the Kulliyyah of Economics and Management Sciences (KENMS) of the International Islamic University Malaysia (IIUM) is once again honoured to manage and host the 15th International Conference on Islamic Economics and Finance for the third time, tentatively to be held from the Tuesday 12 to Thursday 14 December 2023 in Kuala Lumpur. The theme of the conference is Driving the Agenda for a Sustainable Humane Economy.

Recovering from the COVID-19 pandemic, financial and economic crises coupled with challenges from climate change, provide the OIC countries an opportunity to embrace Islamic economics and finance as indigenous approaches to guide their economic policy responses. For this to happen, theoretical foundations of both Islamic economics and finance, as well as their links to policymaking and implementation need greater attention and integration. The world is complex and everything is connected to everything. Hence, proper planning is a part of developing a responsive and responsible Islamic Economics and Finance. The 15th ICIEF 2023 provides the platform for bringing together academics, researchers and policymakers from the Muslim world to discuss the challenges faced and how greater effort can be made towards achieving our preferred future.

OBJECTIVES
The teaching, research and practice of Islamic economics and finance have made tremendous strides globally over the last 50 years. The establishment of higher education institutions like the IIUM and development finance institutions like the Islamic Development Bank, respectively, have provided important avenues for practical implementation of education programs as well as increasing financing for economic and financial cooperation among OIC-member countries. It is important to plan for a sustainable humane future- one that recognises efficiency goes hand-in-hand with equity. However, in order to plan effectively, one must be aware of where we are, how we arrived here, what the challenges are, have a clear vision of where we want to go as well as a plan for the future. Development of research and practice of Islamic economics and finance requires commitment by all the stakeholders as well as the establishment of viable links between theory and policymaking by academics and policymakers.
 

Taking into account the state of the art and the direction of the fields of Islamic economics and finance, the 15th ICIEF focuses on the way forward toward developing the discipline of Islamic economics and finance and increasing their application especially in the economies of the OIC countries. Hence, the conference is devoted to not only theory development and application of the theory but also policy-related issues concerning, but not necessarily limited to, the following areas: Islamic Economics, Islamic Finance, Policy-Issues and Related areas in Sustainability, Shariah, Accounting, Management and Marketing.

Islamic Economics – Islamic economic system and Islamic economy; theoretical and policy studies to achieve sustainable humane development; historical and comparative economic studies; comparative economic models; Islamic economic thought; review articles useful as teaching materials at the university level.

Islamic Finance – emerging issues relating to sustainable Islamic finance; alternative financial and monetary systems from the Islamic perspective; Innovation, AI and FinTech; stability of Islamic financial system; risk-sharing in Islamic finance; Islamic finance infrastructure institutions.

Policy Issues and Prescriptions for the OIC countries – poverty and inequality; entrepreneurship development; micro and small enterprise development; legal, tax and regulatory frameworks from the Islamic economics perspective; Islamic monetary and fiscal policies including zakah and awqaf-based social safety-nets; economic indebtedness; the role of the IsDB in sustainable economic development; trade and cooperation among the OIC countries.

Other Related Areas – Sustainability, Maqasid al-Shariah and its relations to IEF; issues relating to Islamic accounting and its application to IEF; Islamic approaches to management and marketing; Islamic economics and finance education and research.
 

The following list is meant to give a more detailed picture of areas/topics:

i. Theoretical, Historical, Shariah, Maqasid al-Shariah and Institutional Aspects of Islamic Economics and Finance

ii. Poverty, Inequality, Socio-Economic Justice and Human Development in the Humane Economy: Theory and policy dimensions; Trade and Economic Cooperations

iii. Islamic Social Economy and Finance: Theory, Practice and Policy innovations; SDGs and the role of Islamic finance; country case-studies

iv. Management and Business Ethics, Entrepreneurship, Marketing, and Corporate Social Responsibility from an Islamic Perspective

v. Islamic Finance, Banking, Corporate Finance, and Capital Markets for a Sustainable Humane Economy

vi. AI, FinTech, Risk Management and Stability of the Islamic Financial Services Industry

vii. Climate change; sustainability studies; managing externalities for a sustainable humane economy

viii. Accounting, Auditing and Reporting for Good Governance; Regulatory and Legislative Landscape for a sustainable humane economy

ix. Central Banking, Monetary and Fiscal Policy Reforms for a Sustainable Humane Economy

x. Innovation, Technology and the Development of a Sustainable Humane Economy

The Organisers welcome theoretical, empirical and policy papers that will serve to evaluate the current strengths of the disciplines of Islamic economics and Islamic finance and to also chart out possible future directions. Keynote speeches as well as Panel Forums will also be organised.

LANGUAGE, PRESENTERS AND PARTICIPANTS
The conference will accept papers in both English and Arabic.
Approximately 100 papers are expected to be presented during the two days.
Approximately 250-300 participants are expected to attend the event.

SUBMISSION GUIDELINES
1.     Paper submissions must comply with the following guidelines:
● Paper must be either in English or Arabic.
● Original papers not published or submitted for other events.
● Paper must be in Microsoft Word format. Do not submit ZIP files.
● Do NOT include the authors’ names in the main submission of the paper, as papers will be subject to double-blind peer review.
● Full tentative title of the manuscript must be included on the paper.
● Abstract is required and should be between 200-250 words. Please limit the use of acronyms, abbreviations and references in the abstract.
● Keywords for the article: 3-5 keywords are sufficient.
● Referencing: we recommend the Harvard referencing system.
● Please do not submit duplicate copies of the papers.
● Please limit the number of pages to 30 or less (including references).

2.     Final Paper Submissions:
● Authors whose first drafts have been submitted before the deadline and accepted will be invited to submit final drafts of their research papers based on the peer-reviewers’ recommendations for revision.
● Selected papers presented to the Conference will be considered for possible publication in the International Journal of Economics, Management and Accounting (formerly IIUM Journal of Economics and Management, indexed by Web of Science Core Collection), Intellectual Discourse (IIUM, indexed by Scopus), and Islamic Economics Studies (IRTI) and KAAU Journal of Islamic Economics Indexed in SCOPUS. We are also working to get more journals on the list.
● Papers presented may also be selected to be published in edited volumes emanating from the Conference.
 

TICKETS AND HOTEL
Subject to the availability of funds, one author of selected accepted papers may be sponsored a round-trip economy class air ticket and/or hotel stay during the conference days only. The author who wishes to avail of conference sponsorship must be the corresponding author

CONFERENCE FEE AND CONTACTS
● The conference fee will be announced later.
● For more info, please visit our website at https://conference.iium.edu.my/icief2023/
● For queries, kindly e-mail the 15th ICIEF Secretariat at [email protected]

Detail Info:

https://allevents.in/kepong/15th-icief-2023/200024854757748

Di tengah gejolak opini publik yang semakin kompleks, pemahaman tentang sentimen masyarakat menjadi kunci bagi organisasi, perusahaan, dan pemerintah untuk mengambil keputusan yang tepat. Dua pendekatan utama dalam menganalisis sentimen publik adalah melalui teknologi machine learning dan leksikon berbasis. Mari kita jelajahi keunggulan masing-masing dan bagaimana cara menggunakannya.

1. Analisis Sentimen Machine Learning:

Teknologi machine learning memungkinkan komputer untuk belajar dari data dan mengidentifikasi pola yang rumit tanpa perlu pemrograman yang eksplisit. Dalam konteks analisis sentimen, metode machine learning digunakan untuk mengklasifikasikan teks atau data yang mengandung sentimen positif, negatif, atau netral.

Keunggulan:
- Skalabilitas: Metode machine learning dapat menangani volume data yang besar dengan cepat dan efisien.
- Ketepatan: Dengan pelatihan yang tepat, model machine learning dapat menghasilkan prediksi sentimen yang akurat dan dapat diandalkan.
- Adaptabilitas: Model dapat ditingkatkan dan disesuaikan dengan mengintegrasikan data baru atau mengubah parameter.

Cara Menggunakan:
- Kumpulkan dan klasifikasikan data latihan berlabel.
- Pilih algoritma machine learning yang sesuai, seperti Naive Bayes, Support Vector Machines (SVM), atau Neural Networks.
- Latih model dengan data latihan dan validasi menggunakan data uji.
- Evaluasi kinerja model dan lakukan fine-tuning jika diperlukan.
- Terapkan model untuk menganalisis teks atau data baru.

2. Analisis Sentimen Berbasis Leksikon:

Pendekatan leksikon berbasis mengandalkan kamus atau daftar kata yang dikaitkan dengan sentimen tertentu, seperti positif, negatif, atau netral. Analisis sentimen leksikon berbasis mencocokkan kata-kata dalam teks dengan daftar kata dalam leksikon dan menghitung skor sentimen berdasarkan kata-kata tersebut.

Keunggulan:
- Transparansi: Metode ini mudah dipahami dan diinterpretasikan karena mengandalkan leksikon kata-kata yang sudah ditentukan.
- Efisiensi: Tidak memerlukan pelatihan model yang rumit, sehingga bisa diterapkan dengan cepat.

Cara Menggunakan:
- Pilih leksikon atau daftar kata yang sesuai dengan konteks dan bahasa Anda.
- Anotasikan teks dengan skor sentimen berdasarkan leksikon yang dipilih.
- Hitung skor sentimen keseluruhan berdasarkan kata-kata dalam teks.

Penerapan dalam Menganalisis Sentimen Publik:

- Media Sosial: Analisis sentimen digunakan untuk memantau dan memahami opini dan reaksi masyarakat terhadap merek, produk, atau isu tertentu di platform media sosial.
- Tinjauan Pelanggan: Perusahaan menggunakan analisis sentimen untuk mengevaluasi umpan balik pelanggan dan menemukan tren dan pola dalam pendapat dan preferensi pelanggan.
- Krisis Reputasi: Pemerintah dan organisasi mengandalkan analisis sentimen untuk memantau dan menanggapi krisis reputasi dengan cepat berdasarkan respon publik.

Dengan menggunakan kombinasi teknologi machine learning dan leksikon berbasis, organisasi dapat memperoleh wawasan yang lebih dalam tentang sentimen masyarakat dan mengambil langkah-langkah yang tepat dalam meresponsnya. Keberhasilan dalam menganalisis sentimen publik tidak hanya membutuhkan teknologi yang tepat, tetapi juga pemahaman yang mendalam tentang konteks dan tujuan analisis tersebut.

Metodologi uji hipotesis adalah langkah penting dalam penelitian kuantitatif untuk menguji apakah terdapat hubungan atau perbedaan signifikan antara variabel-variabel tertentu. Berikut adalah langkah-langkah utama dalam metodologi uji hipotesis:

1. Merumuskan Hipotesis:
  - Langkah pertama adalah merumuskan hipotesis penelitian, yaitu hipotesis nol (H0) dan hipotesis alternatif (H1). Hipotesis nol menyatakan bahwa tidak ada perbedaan atau hubungan yang signifikan, sementara hipotesis alternatif menyatakan bahwa terdapat perbedaan atau hubungan yang signifikan.

2. Menentukan Tingkat Signifikansi (α):
  - Pilih tingkat signifikansi yang sesuai untuk penelitian Anda. Tingkat signifikansi umumnya diatur pada α = 0.05, tetapi Anda dapat memilih tingkat signifikansi yang sesuai dengan konteks penelitian.

3. Memilih Metode Statistik:
  - Pilih metode statistik yang sesuai untuk menguji hipotesis Anda. Pilihan metode statistik akan tergantung pada desain penelitian, jumlah variabel, dan asumsi-asumsi tertentu.

4. Mengumpulkan Data:
  - Kumpulkan data yang diperlukan sesuai dengan desain penelitian Anda. Pastikan data yang dikumpulkan sesuai dengan tujuan penelitian dan sesuai untuk analisis statistik yang akan digunakan.

5. Melakukan Uji Statistik:
  - Terapkan metode statistik yang Anda pilih pada data yang dikumpulkan. Contoh metode statistik yang umum digunakan adalah uji t (untuk membandingkan rata-rata dua kelompok), Analisis Anova (untuk membandingkan rata-rata tiga atau lebih kelompok), regresi linier (untuk menilai hubungan antara dua atau lebih variabel), dan banyak lainnya.

6. Menghitung Statistik Uji:
  - Hitung nilai statistik uji berdasarkan data yang Anda miliki. Ini akan menghasilkan nilai uji statistik (misalnya, nilai t, F, chi-square) yang akan digunakan untuk mengambil keputusan.

7. Menafsirkan Hasil:
  - Evaluasi hasil uji statistik Anda dan lihat apakah nilai p (nilai probabilitas) yang dihasilkan lebih kecil dari tingkat signifikansi (α). Jika p < α, maka Anda dapat menolak hipotesis nol dan menerima hipotesis alternatif.

8. Kesimpulan:
  - Tarik kesimpulan berdasarkan hasil uji hipotesis. Jelaskan apakah Anda menemukan bukti yang mendukung hipotesis alternatif atau tidak. Berikan interpretasi praktis dari hasil penelitian Anda.

9. Pelaporan Hasil:
  - Laporkan hasil uji hipotesis dalam laporan penelitian Anda. Sertakan statistik uji, nilai p, dan interpretasi hasil.

Langkah-langkah ini membantu peneliti menguji hipotesis mereka secara sistematis dan mengambil keputusan berdasarkan bukti statistik. Selain itu, penting untuk memahami asumsi-asumsi yang mendasari metode statistik yang digunakan dan mengikuti prosedur analisis dengan cermat.