Factors that influence Gen Y loyalty towards mobile internet service provider (MISP) in parliament Sungai Petani, Kedah / Muhd Syafiq Rusnan
Bibliographic record
Abstract
Gen Y, which also known as Millennials Generation, Net Generation, digital natives and Connected Generation, are individuals which their aged ranging from 18 to 34 years (Bruwer, Saliba, & Miller, 2011; Nielsen, 2012; Nusair, Bilgihan, & Okumus., 2013). Gen Y have grown up with heavy exposure to mobile technology and the Internet, they have been widely recognised as early adopters of new connected devices, extensive users of the Internet, as well as substantial users of mobile services (Kumar & Lim, 2008). Being the first generation to grow up with technology and the Internet, Gen Yers are highly sociable, Tee literate, and media or tech savvy (Bilgihan, 2016). As a result of their exposure to rapidly changing technologies like the Internet and mobile devices, Gen Yers have adopted technology as part of their lifestyle and it represents their "third hand and second brain" (Palmer, 2009). Because of their confidence in using new technologies (Kandampully & Zhang, 2015), Gen Yers are often early adopters and heavy users of the latest mobile technologies (Kumar & Lim, 2008; Spaid & Flint, 2014 ). In Malaysia, approximately 55.6 % of the Internet users are Generation Y (Malaysia Communications and Multimedia Commission, 2013). Given this, it is not surprising that Gen Y are the generation with the highest level of mobile Internet penetration, at 74% in the first quarter of 2014 (Statista, 2016).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".