Page 36 - IMDR EBOOK 20 OCT 2020

"Pandemic and Beyond: Naviga ng the New Normal" E - Book Year 2020

Observations:

a. There are a myriad of reasons why a chosen candidate refused to join.
b. Most commonly mentioned reason is the candidate changed his/her mind, this
could be because of organisation being in a Covid hot spot region or due to fear of
relocation.

c. Some candidates reported that the existent organisations where they were
working were offering them better prospects/pressurising them to stay back.
d. In an logistics based organisation, the organisation itself had to withdraw the
offer made to the candidate due to the existent situation.
e. Interestingly, no one reported of family pressure as a reason not for joining.

Conclusions:
From the survey it can be concluded that,

1. There are many companies who are not in a good position nancially due to the
extended lockdown and restrictions

2. The organisations facing issues are then resorting to withdrawal of job offers
both to freshers and lateral entrants.

3. The organisations who have not withdrawn their offers are also having
difculties, some of them have resorted to digital onboarding.

4. There are all sorts of organisations who have opted for digital onboarding; they
represent diverse sectors like Logistics, BFSI, Information Technology,
Consulting, Start-Ups and so on. The digital onboarding has its limitations and
there were different difculties encountered while encountering it.
5. The issues faced prominently included connectivity, training, understanding of
job, dening employee productivity, bonding with colleagues etc.
6. However, a good thing to note is that most of the organisations reported a lot of
enthusiasm from the freshers to digital onboarding.
7. In certain cases, freshers experienced a lack of work life balance as they were
away from the family and the family was worried about their well being especially
in Covid-19 hotspots.
References:
1. Ahmed, Z., Su, L., Raque, K., Khan, S.Z. and Jamil, S., 2017. A study on the
factors affecting consumer buying behavior towards online shopping in
Pakistan. Journal of Asian Business Strategy, 7(2), p.44.
2. Chen, C., Hou, C., Xiao, J., Wen, Y. and Yuan, X., 2017. Enhancing Purchase
Behavior Prediction with Temporally Popular Items. IEICE TRANSACTIONS on
Information and Systems, 100(9), pp.2237-2240.
3. García-Jurado, A., Castro-González, P., Torres-Jiménez, M. and Leal-Rodríguez,
A.L., 2018. Evaluating the role of gamication and ow in e-consumers:
millennials versus generation X. Kybernetes.

4. Gupta, M., Manvikar, P., Sharma, S. and Shroff, S., 2015. Online Shopping
Behaviour in India. International Journal of Engineering Research and
Development.

5. Yang, S., 2019. The Study of Customer Experience Design and Optimization of
Shopping Website: Case Analysis of Amazon in China. Asian Business Research,
4(2), p.1.

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