Digital transformation of business models: influence of operation and trade variables

Samper, Martha García; Sukier, Harold Bernardo; Palencia, Diego Baez; Molina, Reynier Israel Ramírez; Alfaro, Katherin Barranco; Sánchez, Yurleidis Salamanca; Sarmiento, Andrea Carolina Franco

doi:10.1016/j.procs.2022.07.125

Cited by 13 publications

(6 citation statements)

References 15 publications

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“…The question on smartphone or device usage (see Table 1: SoDU) was also developed considering previous research that highlighted the impact of smartphone or similar device usage on online gaming (Evans et al, 2015), social media (Wu & Cheng, 2019) and information seeking (Samaha & Hawi, 2016) on learning and student outcomes. Similar considerations guided the formulation of questions on risks associated with digital media, stress level, measurement, and opportunities from digital media, as these factors can affect the learning process and student outcomes (Du Plessis & McDonagh, 2021;Greenstein, 2012;Klapper & Fayolle, 2023;Liao et al, 2021;Purnama et al, 2021;Samper et al, 2022;Z. Zhang, 2022).…”

Section: Phase-11 Instrument Developmentmentioning

confidence: 99%

Logistic Regression Analysis: Predicting the Effect of Critical Thinking and Experience Active Learning Models on Academic Performance

Sawiji,

Permansah,

Rapih

et al. 2024

EUROPEAN J ED RES

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<p style="text-align: justify;">This study aims to analyse the relationship between critical thinking and the learning experience provided by instructors through active learning models, specifically Project-based Learning (PjBL) and Simulation-based Learning (SBL), to the potential achievement of academic performance in undergraduate students. The main analysis technique employed in this research was logistic regression, with additional analysis techniques including discriminant validity, EFA, as well as Kendall’s and Spearman’s correlation, serving as a robustness check. The results of this study indicate significant correlations and effects of critical thinking (CT) on academic performance. Higher levels of CT are associated with a greater likelihood of achieving academic excellence, as indicated by the cum laude distinction, compared to not attaining this distinction. Experiences of receiving PjBL (0.025; 6.816) and SBL (0.014; 14.35) predicted the potential for improving academic performance to reach cum laude recognition, relative to not achieving this distinction. Furthermore, other intercept factors need to be considered to achieve cum laude compared to not achieving cum laude. We recommend that policymakers in higher education, instructors, and others focus on enhancing critical thinking and utilizing both Pub and SBL as learning models to improve students’ academic performance.</p>

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Section: Phase-11 Instrument Developmentmentioning

confidence: 99%

Logistic Regression Analysis: Predicting the Effect of Critical Thinking and Experience Active Learning Models on Academic Performance

Sawiji,

Permansah,

Rapih

et al. 2024

EUROPEAN J ED RES

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“…Transformasi Digital saat ini sangan penting bagi perusahaan sebagai sarana dalam merevolusi cara TI dan unit bisnis berkolaborasi, mampu bertahan dan bersaing pada kondisi pasar yang sangat kompetitif. Dikatakan bahwa penerapan Transformasi Digital pada proses operasi dan perdagangan secara langsung meningkatkan identifikasi upaya tertentu [1], model bisnis UKM di industri ritel [2], praktik kerja perusahaan menengah yang gesit dan manfaat yang dapat dicapai melalui teknologi dan hasilnya menunjukkan faktor-faktor yang mempengaruhi dan potensi agile manajemen [3], selain itu, evaluasi kesiapan industri 4.0 pabrik pintar dalam mempersiapkan Transformasi Digital juga dilakukan [4], kemudian pada sektor pemerintahan, walaupun proyek kasusnya tidak mencapai tujuan yang dimaksud akan tetapi organisasi proyek belajar banyak berkolaborasi dengan lembaga pemerintah yang mewakili berbagai sektor [5].…”

Section: Pendahuluanunclassified

Arsitektur Perusahaan Untuk Mendukung Transformasi Digital: Systematic Literature Review

Syam

W.A

Muhammad

2023

jikom

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This study aims to describe the development of studies on Enterprise Architecture (EA) in supporting Digital Transformation. The Systematic Literature Review (SLR) method was used to obtain 36,513 studies with manual searches in two databases, and finally 12 primary studies were selected with a time limit of 2018-2022. A total of seven issues/issues were identified and analyzed, namely EA support analysis, EA weakness analysis, Enterprise Architecture Management (EAM) benefit analysis, EA evolution, EA method development, and EA model development. EA's contribution is explained with a description of the problems / issues that have been identified, and the research sectors analyzed include Small and Medium Enterprises in Mechanical Engineering, manufacturing, health, and Small and Medium Enterprises in general, and some studies that do not limit their research sectors. The results show that studies on EA in supporting Digital Transformation have decreased in the last five years. Studies related to the benefits of EAM still show EA's weakness in supporting Digital Transformation. The limited research sector consists of SMEs and health. This review provides some guidelines for future researchers who want to research on this topic.

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“…Generally, business digitalization describes how firms can improve their operations and generate value by transforming their business models (Samper et al, 2022). Parida et al (2019) showed that digital technologies help innovate organizational models and offer opportunities for value creation in industrial ecosystems.…”

Section: Literature Reviewmentioning

confidence: 99%

State support for the digitalization of SMEs in European countries

Strilets

Фролов

Datsenko

et al. 2022

Problems and Perspectives in Management

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COVID-19 and Russia’s war against Ukraine have created many challenges for the business models of SMEs, stimulating them to develop alternative forms of business. Among the key alternatives, one should single out digitization. However, imperfections of Ukraine’s state support system for digital transformation necessitate adapting the positive practice of leading countries with excellent business digitalization. Therefore, this paper structures the practical experience of state support of European countries in the digitalization of SMEs. The study conducts a cluster analysis to identify countries whose experience in state support for business digitalization is the best for adoption. Clustering employed the criterion of using key digitization instruments: internet of things, integration of business processes into electronic processes, digital integration with customers/suppliers, cloud services, big data analysis, and artificial intelligence. Thus, 4 clusters were identified (the first cluster comprises 16 countries, the second – 2, the third – 5, and the fourth – 7). These findings contributed to the selection of some key measures. They included: expanding the financial capabilities of SMEs to adopt digital technologies in their processes; formation of digital hard skills among entrepreneurs and increasing the personnel potential of SME digitization; creation of a favorable business environment to stimulate the digital activity of SMEs; and popularization of business digitalization strategy as a component of digital transformation strategy in society.

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Digital transformation of business models: influence of operation and trade variables

Cited by 13 publications

References 15 publications

Logistic Regression Analysis: Predicting the Effect of Critical Thinking and Experience Active Learning Models on Academic Performance

Logistic Regression Analysis: Predicting the Effect of Critical Thinking and Experience Active Learning Models on Academic Performance

Arsitektur Perusahaan Untuk Mendukung Transformasi Digital: Systematic Literature Review

State support for the digitalization of SMEs in European countries

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