Conventionally, HRM is considered
a soft field of profession. But professionals of HRM require efficient skills
of IT for keeping up with the profession’s quantitative complexity. After all,
everyday life connects with huge databases and recordkeeping. With the
emergence of new technologies such as artificial intelligence and huge data
analytics, HR department is more or less forced to think once again about their
needs in human resource management. There are many different terms that have
arisen such as HR analytics, Big Data analytics, eHRM, and HRIS or human
resources information system. These all terms have brought their own
contributions and parts to add into the new recruitment methods based on the
internet if nothing more and methods which play a major role in promoting
effective recruitment and HRM (M. Ashok Kumar 2014).
When there are changes in firms
and big corporations, normally groups and individuals are unable to adapt and
they resist such modifications as an organizations’ benefits sometimes may have
an issue or conflict when the interest of employees is concerned who are
generally demanded to change even when they don’t want. Rejecting various circumstances and
conditions, risks and uncertainty thus are authentic specifications for
organizations and people. Technophobia generally refers to the issues that
arise when new technologies are adopted for different purposed. However, such
advancements have become necessary for the HRM region. HRM is affected as a
whole along with its main activities such as recruitment through technologies (Ouirdi, et al. 2016).
References of Human resource management
M. Ashok Kumar, and S. Priyanka. 2014. "A study
on adoption of E-recruitment using Technology Acceptance Model (TAM) with reference
to graduating students in universities in Bahrain." nternational
Journal of Advance Research in Computer Science and Management Studies
377-383.
Ouirdi, Mariam El, Asma El Ouirdi, Jesse Segers, and
and Ivana Pais. 2016. "Technology adoption in employee recruitment: The
case of social media in Central and Eastern Europe." Computers in Human
Behavior 57: 240-249.