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THE INFLUENCE OF MARKET ORIENTATION, ENTREPRENEURSHIP ORIENTATION, BUSINESS STRATEGY, AND INNOVATION ON THE PERFORMANCE Angelina, Angelina; Handoyo, Sarwo Edy
International Journal of Application on Economics and Business Vol. 2 No. 1 (2024): February 2024
Publisher : Graduate Program of Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/ijaeb.v2i1.2970-2978

Abstract

This examination aims to investigate the influence of market orientation, entrepreneurial orientation, commercial enterprise method, and innovation on the commercial enterprise performance of SMEs within the production sector in North Jakarta. The pattern selection approach in this study used a non-probability sampling technique with a convenience sampling technique. The sample on this look at is a convection business in North Jakarta with a complete of 100 respondents. data have analyzed the usage of the SEM technique with the SmartPLS utility. The consequences of this have a look at located that there may be a fine and significant effect of marketplace orientation on business performance, entrepreneurial orientation has an effective and good-sized impact on commercial enterprise overall performance, commercial enterprise method has an advantageous and vast effect on commercial enterprise performance, innovation has an insignificant high-quality effect on business performance.
Faktor-Faktor yang Memengaruhi Profitabilitas Perusahaan Tambang Batu Bara yang Terdaftar di Bursa Efek Indonesia Hidayat, Dina; Handoyo, Sarwo Edy
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i5.15801

Abstract

Perusahaan pertambangan batubara merupakan tiga besar kontributor bagi perekonomian nasional setelah sektor perdagangan dan eceran serta sektor pertanian dan peternakan. Perusahaan pertambangan batu bara menunjukkan tren negatif pada capaian pengembalian aset atau return on assets (ROA) terutama pada tahun 2021 sebagai puncak yang dialami. Hal ini tidak lain dan tidak bukan dikarenakan oleh pandemi Covid-19 yang sedang merebah dan mengakibatkan banyak sektor perusahaan mengalami kemunduran akibat aturan pembatasan wilayah yang diberlakukan. Mengisyaratkan bahwa mayoritas perusahaan gagal dalam mencapai tingkat pengembalian aset secara maksimal melainkan banyak perusahaan mengalami kerugian pada tahun 2021. Penelitian ini bertujuan untuk mengatahui pengaruh efisiensi operasional, perputaran modal kerja, dan perputaran aset pada tingkat pengembalian aset dari perusahaan pertambangan batu bara yang terdaftar di Bursa Efek Indonesia pada tahun 2018-2022. Metode yang digunakan pada penelitian ini adaah regresi data panel yang menggabungkan data time series yaitu tahun 2018-2022 dan data cross section berupa 16 perusahaan kemudian dilakukan uji asumsi klasik dan uji hipotesis. Hasil penelitian ini menunjukkan bahwa efisiensi operasional (BOPO) berpengaruh negatif signifikan terhadap tingkat pengembalian aset (ROA). Sedangkan perputaran modal kerja (WCTO) dan perputaran aset total (TATO) berpengaruh positif signifikan terhadap tingkat pengembalian aset (ROA).
AI in Mentoring and Duplication for Network Marketing: A Systematic Literature Review using TPACK and ANT Sitinjak, Manuntun; Irawan, gustinus Purna; Handoyo, Sarwo Edy
Asian Journal of Management Analytics Vol. 4 No. 4 (2025): October 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajma.v4i4.15640

Abstract

Mentoring and duplication are key components of member development in multi-level marketing (MLM), yet traditional approaches often struggle with scalability, consistency, and personalization. This study systematically reviews the integration of Artificial Intelligence (AI) into MLM mentoring and duplication using the Technological Pedagogical Content Knowledge (TPACK) and Actor-Network Theory (ANT) frameworks. A Systematic Literature Review (SLR) was conducted following the PRISMA protocol, analyzing 60 peer-reviewed articles published between 2020 and 2025 from Scopus, ScienceDirect, and Google Scholar. Results indicate that AI enhances mentoring through personalized support, real-time feedback, and adaptive learning, while improving duplication via automated training, communication, and workflow replication. The synthesis reveals that combining TPACK and ANT provides a comprehensive lens to understand how digital tools interact with human actors and knowledge networks.