At least 93 per cent of organizations in Kenya are struggling to retain employees, this according to a recently released Deloitte Best Company to Work for survey.
The study further showed that most organizations are competing for the best talent in the market, perhaps a reason why graduates are finding it hard to secure job opportunities.
This study is a heart breaker to thousands of fresh university graduates who enter the country’s job market every year.
According to World Bank estimates, close to 800,000 youth, mostly from the numerous institutions of learning, enter the Kenyan job market annually.
Out of this number, only about 70,000 may succeed in securing professional employment in the formal sector.
It is estimated that, Kenyan youth between 15-34 years constitute more than 40 percent of the national population of about 43.5 million people, yet they account for a whopping 70 per cent of the unemployed workforce.
The annual Deloitte Best Company to Work findings rated Kenya Women Finance Trust (KWFT) and logistics firm Deutsche Post (DHL) as the best organizations to work for in Kenya.
The two firms trounced 163 others in terms of talent retention, leadership, operational effectiveness, inclusion and overall job satisfaction
Remuneration, learning and development, values and culture, performance and fairness are other standards interrogated in the study.
Deloitte East Africa advisory leader Rodger George said the survey aims to identify and celebrate the best organizations to work as rated by their employees.
“Business leaders have no option but to radically evolve their organizations with a series of new disruptions like use of social media space and inclusion of millennials whose demands can no longer be overlooked,” he said.
Speaking during the event, M-Kopa Chief Human Resource Officer Samuel Kariuki advised organization’s to embrace new mode of communications and mechanisms to boost staff morale at the workplace if they are to be attractive for the new crop of millennials who are technology-savvy
The survey results were informed by five sets of data: level, gender, age, tenure and business unit.