My Own Things, and Writing These Days
daily
reflection
en
dailymusingsstray thoughts
Because we've entered the age of AI? The phrasing already feels stale. As I worked my way through AI-powered tools, I grew more drawn to — and came to value more — the personal and the creative. Now that humans and machines write in the same code, language (no matter how much AI detection you throw at it), there is ultimately no way to tell the two apart unless you're the one who wrote them. I'll ramble about that in a separate piece later, but the point is this: out of a craving to write in a way that shows a more personalized, raw 'me,' I got my hands on this uncomfortable, dreadful thing called a typewriter.
Grow What's Visible, Reduce the Workforce: How Informal Competition Quietly Reshapes Firms
Research
capability upgradinginformal competitionHRDworkforce development
Facing severe informal competition, firms do not retreat. They keep growing "visible" upgrading—innovation, certifications, fixed assets—while quietly cutting back on just one thing: employee training. One word explains the choice: appropriability. Assets are bolted to the floor, but training lives in the employee's head and can walk out the door. An accessible reading of the "selective decoupling" landscape revealed by World Bank data on 187,000 firms.
Four Calibrations, Three Paths, One Premise
Research
fsQCASTMSLR
The Multilevel Emergence Framework is no longer a theoretical choice but an empirical finding. The existence of Mode A means that the "Institutional Thriving in a healthcare-institution context" we propose is an extension of existing modes of research, not a rupture from them. The separation between medical and non-medical literatures defines, with precision, the empty space this study seeks to fill.
Opening the Black Box of Job Satisfaction: Can AI Tell You Why You're Dissatisfied?
Research
machine learningSHAPexplainable AIjob satisfactionHR analyticsHRD
Job satisfaction is an old topic. It is a staple of organizational behavior, and any HR professional has run a survey on it at least once. Yet something is strange. After decades of studying "what influences job satisfaction?", there is almost no research that actually predicts **"how will this employee's satisfaction change next year?"**
What AI Found, What We Already Knew
Research
machine learningdigital transformationSME
AI found the patterns. We named them, gave them meaning, and proposed what to do next. Both of us looked at the same data, but **we look at different depths**. The AI's depth is deepening fast. Yet the questions "why?" and "so what?" still belong to the human domain. This experiment is the first social-science test of the AI-Scientist, and the starting point for developing the AI-Scholar. How the machine's eye and the researcher's eye can collaborate is what we must now design.
How Do We Measure Change in SMEs? 5 Key Findings from Latent Transition Analysis of DT Training Participants
Analysis
latent transition analysisdigital transformationSMEHRD
DT training works. 54% of repeat-participating firms moved to a higher digital transformation stage. But skipping stages is nearly impossible. Stage-appropriate training is essential, and the impact is maximized in firms with existing infrastructure.
Is training on digital transformation for small and medium-sized enterprises really effective?
Analysis
digital transformationSMEHRDworkforce development
Company A, a mould manufacturer based in Ansan, Gyeonggi Province. With 35 employees and an annual turnover of 8 billion won, the CEO remarked, “Smart factories? What use is that to a small factory like ours?” Their digital transformation (DT) awareness score was 1.4 out of 5. It was a company for which the very term ‘digital transformation’ was unfamiliar. Yet, after receiving consultancy training, this company ranked in the top 30% for practical application. How was this possible?
The Practice of Knowledge Sharing: Applying Theory to the Field
Essay
knowledge sharingHRDworkforce development
No matter how abundant the academic research on knowledge sharing may be, if it cannot be effectively applied within organizational settings, it remains merely books gathering dust on shelves. Reviewing research trends over the past decade, a recurring thought has been: how can we bridge the gap between theory and practice? This article examines practical strategies for promoting knowledge sharing across various organizational levels and explores successful case studies.
What Are the Key Challenges in Implementing People/HR Analytics?
Essay
people analyticsHR analyticsHRDworkforce development
People/HR Analytics is widely recognized as a powerful tool for transforming human resource management into data-driven decision-making. Organizations acknowledge its strategic value, with 71% of companies identifying people analytics as a top priority[4]. However, a significant gap exists between this recognition and actual implementation. Only 9% of organizations report strong understanding of performance drivers, and just 8% possess usable, high-quality data. This suggests that organizations face multifaceted challenges — organizational, technical, and human — in implementing analytics. This essay systematically analyzes the key barriers to HR analytics implementation through a literature synthesis, focusing on four core challenges: data quality issues, analytics capability gaps, lack of strategic alignment, and organizational culture and resistance to change.
Human Resource Analytics and Business Analytics: A Systematic Comparative Analysis
Essay
people analyticsHR analyticsbusiness analyticsHRD
As organizational decision-making becomes increasingly data-driven, various forms of analytics have emerged. Terms like Business Analytics (BA), Human Resource Analytics (HRA), People Analytics, Data Analytics, and Business Intelligence (BI) are used interchangeably, creating conceptual confusion for both practitioners and researchers. Especially when HR departments seek to strengthen data-driven decision-making capabilities and when organizations develop enterprise-wide analytics strategies, a clear understanding of these concepts' differences is essential for designing organizational roles and collaboration.
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