@article{1977,
  author = {Maher Alghali, Najwa Hayaati Mohd Alwi, Roesnita Ismai},
  title = {Development of Cloud-Based E-Learning Users Information Privacy Concerns instrument},
  journal = {Journal of Information & Systems Management},
  year = {2016},
  volume = {6},
  number = {1},
  doi = {},
  url = {http://www.dline.info/jism/fulltext/v6n1/jismv6n1_2.pdf},
  abstract = {Cloud computing is a phenomenon of last few years on the technology field. This phenomenon has a positive
effect on the education process which represents cloud-based e-learning system. However, the new technologies require
collect, share and exchange a large amount of information frequently without users even being aware of it. The main
objective of this paper is to develop universal Cloud Based E-Learning Users’ Information Privacy Concerns Instrument.
The development involves of selecting the right elements that are assumed to determine the privacy concerns and
examining the impact of every element in measurement. The instrument is divided into 5 parts, 16 factors and total of 61
items. The results of this study showed that first part of the instrument that examined trust beliefs and risk belief has
high internal consistency and satisfactory factor loadings. The second part of the instrument, which contained 4 factors,
and total 11 items that examined concern for information privacy (CFIP), all 3 factors had high internal consistency and
satisfactory factor loadings. The third part of the instrument, which contained 5 items that examined the Global
Information Privacy Concern (GIPC), all 5 items is significantly disrupted internal consistency. The fourth part of the
instrument consisted of 3 factors and total 10 items that measured User Information Privacy Concern (IUIPC), had high
internal consistency and satisfactory factor loadings. The fifth part of instrument, which examined 7 factors and total
25 items that measured that Cloud Computing privacy Concerns (CCPC), had high internal consistency and the privacy
breaches factor should consist of 3 items (one item had low factor loading). Even though developing instrument needs
more effort and validation, initial results illustrated that this instrument would be an excellent and reliable to evaluate
cloud-based e-learning users’ information privacy concerns.},
}