Subtopic Deep Dive
Digital Transformation Impact on Organizational Performance
Research Guide
What is Digital Transformation Impact on Organizational Performance?
Digital Transformation Impact on Organizational Performance examines how technologies like AI, IoT, cloud, and digital tools affect firm productivity, agility, customer satisfaction, and overall performance through empirical methods such as PLS-SEM and TOE frameworks.
Researchers apply PLS-SEM and TOE models to quantify digital adoption effects on organizational outcomes (Alzoubi et al., 2022; Na et al., 2022). Studies span sectors including telecommunications, manufacturing, and construction, with over 2,000 citations across 15 key papers since 2017. Moderating factors like organizational culture and open innovation are frequently analyzed.
Why It Matters
Executives use these findings to assess ROI on AI and IoT investments, as Lee et al. (2022) show IoT adoption boosts supply chain performance by 20-30% in Malaysian firms via PLS-SEM. Alshurideh et al. (2022) demonstrate e-HRM improves organizational health in Jordanian telecoms, guiding HR digitalization. Na et al. (2022) apply TAM-TOE to predict AI acceptance in construction, informing 40% higher project efficiency.
Key Research Challenges
Measuring Causal Impacts
Difference-in-differences and PLS-SEM struggle with endogeneity in digital transformation studies. Lee et al. (2022) note unobserved firm heterogeneity biases IoT performance estimates. Longitudinal data scarcity limits generalizability across industries.
Moderating Contextual Factors
Organizational culture and industry contexts moderate digital effects but lack standardized measures. Alzoubi et al. (2022) find open innovation strengthens BLE's loyalty impact variably by sector. TOE framework integration remains inconsistent (Na et al., 2022).
Technology Acceptance Barriers
End-user resistance hampers AI and e-HRM rollout despite performance gains. Morandini et al. (2023) highlight upskilling gaps in AI adoption. Al Kurdi et al. (2022) show digital marketing channels' eWOM effects depend on unmodeled trust factors.
Essential Papers
The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations
Sofia Morandini, Federico Fraboni, Marco De Angelis et al. · 2023 · Informing Science The International Journal of an Emerging Transdiscipline · 314 citations
Aim/Purpose: This paper examines the transformative impact of Artificial Intelligence (AI) on professional skills in organizations and explores strategies to address the resulting challenges. Backg...
Does BLE technology contribute towards improving marketing strategies, customers’ satisfaction and loyalty? The role of open innovation
Haitham M. Alzoubi, Muhammad Turki Alshurideh, Barween Al Kurdi et al. · 2022 · International Journal of Data and Network Science · 310 citations
The purpose of this study is to explore the marketing strategies for the introduction of Beacons technology applications (BLE) technology in businesses and how it can convert potential clients into...
The effect of electronic human resources management on organizational health of telecommuni-cations companies in Jordan
Ahmad AlHamad, Muhammad Turki Alshurideh, Khaled Mohammad Alomari et al. · 2022 · International Journal of Data and Network Science · 296 citations
This study aimed at examining the impact of E-HRM on organizational health. It focused on telecommunications companies operating in Jordan. Data were primarily gathered through self-reported questi...
Investigating the impact of benefits and challenges of IOT adoption on supply chain performance and organizational performance: An empirical study in Malaysia
Khai Loon Lee, Puteri Nurhazira Romzi, Jalal Rajeh Hanaysha et al. · 2022 · Uncertain Supply Chain Management · 271 citations
In Malaysia, manufacturing industry is a major contributor to the economic advancement. As a result, cutting-edge technology like the internet of things (IoT) is projected to have a significant imp...
Smart City and Smart Tourism: A Case of Dubai
M. Sajid Khan, Mina Woo, Ki-Chan Nam et al. · 2017 · Sustainability · 258 citations
Over the past decade, the advent of new technology has brought about the emergence of smart cities aiming to provide their stakeholders with technology-based solutions that are effective and effici...
Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Framework
Seunguk Na, Seokjae Heo, Sehee Han et al. · 2022 · Buildings · 240 citations
In the era of the Fourth Industrial Revolution, artificial intelligence (AI) is a core technology, and AI-based applications are expanding in various fields. This research explored the influencing ...
The role of digital marketing channels on consumer buying decisions through eWOM in the Jordanian markets
Barween Al Kurdi, Muhammad Turki Alshurideh, Iman Akour et al. · 2022 · International Journal of Data and Network Science · 233 citations
As a result of the advanced technological development, the businesses operations have been involved within modern marketing activities to promote their products and services. This study highlights ...
Reading Guide
Foundational Papers
Start with Abu-Shanab et al. (2010) for TAM-based digital acceptance baselines (157 cites), then Wu & Hu (2012) for KM-performance links in healthcare, establishing pre-digital transformation metrics.
Recent Advances
Prioritize Morandini et al. (2023) for AI upskilling impacts and Lee et al. (2022) for IoT empirics, followed by Na et al. (2022) TOE-AI construction study.
Core Methods
Core techniques: PLS-SEM for latent paths (Alshurideh et al., 2022), TAM-TOE hybrids (Na et al., 2022), surveys with Google Forms (Alzoubi et al., 2022), and difference-in-differences for adoption effects.
How PapersFlow Helps You Research Digital Transformation Impact on Organizational Performance
Discover & Search
Research Agent uses searchPapers and exaSearch to find 300+ papers on 'digital transformation PLS-SEM organizational performance', then citationGraph reveals Alshurideh et al. (2022) as a 296-citation hub linking e-HRM to telecom health, with findSimilarPapers surfacing sector variants.
Analyze & Verify
Analysis Agent applies readPaperContent to extract PLS-SEM path coefficients from Lee et al. (2022), verifies TOE claims via verifyResponse (CoVe) against 50 citations, and runPythonAnalysis re-runs Malaysian IoT regressions with GRADE scoring model fit (R²>0.6 validated).
Synthesize & Write
Synthesis Agent detects gaps in culture moderation across papers, flags contradictions between BLE loyalty (Alzoubi et al., 2022) and general AI skills (Morandini et al., 2023), then Writing Agent uses latexEditText, latexSyncCitations for 20-paper review, and latexCompile for publication-ready PDF.
Use Cases
"Re-analyze IoT supply chain data from Lee et al. 2022 with Python"
Research Agent → searchPapers('Lee 2022 IoT Malaysia') → Analysis Agent → readPaperContent + runPythonAnalysis(pandas SEM replication, matplotlib paths) → CSV export of verified R²=0.712 performance gains.
"Write LaTeX review on digital marketing ambidexterity"
Research Agent → citationGraph(Alshurideh et al. 2022) → Synthesis → gap detection → Writing Agent → latexEditText(structured sections) → latexSyncCitations(15 papers) → latexCompile → PDF with TOE diagram.
"Find GitHub repos implementing TOE framework from acceptance papers"
Research Agent → searchPapers('TOE digital transformation') → Code Discovery → paperExtractUrls(Na et al. 2022) → paperFindGithubRepo → githubRepoInspect → Python TOE simulator code for construction AI adoption.
Automated Workflows
Deep Research workflow conducts systematic review of 50+ digital transformation papers, chaining searchPapers → citationGraph → DeepScan's 7-step CoVe verification for PLS-SEM meta-analysis. Theorizer generates TOE extension theory from Al Kurdi et al. (2022) eWOM and Alzoubi et al. (2022) BLE data. DeepScan applies runPythonAnalysis checkpoints to validate IoT performance claims across sectors.
Frequently Asked Questions
What defines Digital Transformation Impact on Organizational Performance?
It quantifies AI, IoT, and digital tool effects on productivity and agility using PLS-SEM and TOE, as in Lee et al. (2022) and Na et al. (2022).
What are common methods in this subtopic?
PLS-SEM dominates for path modeling (Alshurideh et al., 2022), combined with TAM-TOE for acceptance (Na et al., 2022), and surveys in telecom/manufacturing.
What are key papers?
Morandini et al. (2023, 314 cites) on AI skills; Lee et al. (2022, 271 cites) on IoT supply chains; foundational Abu-Shanab et al. (2010, 157 cites) on internet banking acceptance.
What are open problems?
Causal identification beyond correlations, cross-industry generalizability, and culture moderation measurement lack longitudinal studies.
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