Journal ArticleDOI
Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach
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TLDR
Results of SEM and neural network analysis indicate that the most significant predictor of cloud adoption is server location followed by facilitating conditions, relative advantage, service quality, top management support, computer self-efficacy, perceived risks, cloud provider's influence, and resistance to change.About:
This article is published in Technology in Society.The article was published on 2020-02-01. It has received 109 citations till now. The article focuses on the topics: Cloud computing.read more
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Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective
TL;DR: In this article, the authors investigate how motivational factors and personal attributes influence social media fatigue and the sharing of unverified information during the COVID-19 pandemic, and they develop a model which they analyse using the structural equation modelling and neural network techniques with data collected from young adults in Bangladesh (N = 433).
Journal ArticleDOI
A mediated model on the adoption of social media and SMEs’ performance in developing countries
Sikander Ali Qalati,Li Wen Yuan,Muhammad Aamir Shafique Khan,Muhammad Aamir Shafique Khan,Farooq Anwar +4 more
TL;DR: In this paper, the authors investigated the effects of technology-organizational-environmental (TOE) factors on the adoption of SM and SMEs' performance in developing countries.
Journal ArticleDOI
A review of industry 4.0 revolution potential in a sustainable and renewable palm oil industry: HAZOP approach
Chun Hsion Lim,Steven Lim,Bing Shen How,Wendy Pei Qin Ng,Sue Lin Ngan,Wei Dong Leong,Hon Loong Lam +6 more
TL;DR: In this paper, a Hazard and Operability Analysis (HAZOP) approach is adopted to ensure a detailed evaluation of the existing problems, and to identify potential implementation of Industry 4.0 technologies in the palm oil industry.
Journal ArticleDOI
Determinants of SME’s Social Media Marketing Adoption: Competitive Industry as a Moderator
Ghazanfar Ali Abbasi,Noor Fareen Abdul Rahim,Hongyan Wu,Mohammad Iranmanesh,Benjamin Ng Chee Keong +4 more
TL;DR: In this article , a dual-stage analysis involving partial least squares (PLS) technique and artificial intelligence named deep artificial neural network (ANN) was proposed to identify determinants of SMEs' social media marketing adoption by considering the competitive industry as a moderator.
Journal ArticleDOI
Hybrid artificial neural network and structural equation modelling techniques: a survey
Ahmed Shihab Albahri,Alhamzah Alnoor,A. A. Zaidan,Osamah Shihab Albahri,Hamsa Hameed,B. B. Zaidan,B. B. Zaidan,S.S. Peh,Azizah Zain,S.B. Siraj,Abdul Halim Masnan,A.A. Yass +11 more
TL;DR: In this paper, a state-of-the-art structural equation modelling (SEM) and artificial neural network (ANN) classification taxonomy based on industries is presented, and compared the effort in various domains to that classification.
References
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Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Journal ArticleDOI
Common method biases in behavioral research: a critical review of the literature and recommended remedies.
TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
Book
Diffusion of Innovations
TL;DR: A history of diffusion research can be found in this paper, where the authors present a glossary of developments in the field of Diffusion research and discuss the consequences of these developments.
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Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
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User acceptance of information technology: toward a unified view
TL;DR: The Unified Theory of Acceptance and Use of Technology (UTAUT) as mentioned in this paper is a unified model that integrates elements across the eight models, and empirically validate the unified model.
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