How Can Technology Ensure A Collaborative Work Approach Between 'New Giggers' & Existing Traditional Organizations?
During his discussion with Charulatha, Correspondent at Siliconindia Magazine, Praveen expresses his thoughts on how technology can foster a cooperative work environment between "new giggers" and established traditional organizations.
Technological tools or platforms can help bridge the gap between remote independent workers and in-house teams.
To ensure a seamless integration of gig workers with traditional structures, it is important for technological tools and platforms to offer specific features and functionalities. These tools should consider the unique aspects of gig work, such as flexible work arrangements in terms of time, location, and project requirements. This has implications for various HR processes including screening and onboarding, training, task allocation, workforce and performance management as well as payroll management. To address these needs, organizations require an integrated tech-enabled human capital management system that caters to both gig workers and full-time employees.
The platform allows for the productization and execution of all workflows, regardless of complexity, to effectively cater to the distinct business requirements of integrating gig workers into conventional structures.
Technology enable transparent and efficient project management and task allocation for both new giggers and traditional organizations
By leveraging technology, project management and task allocation can be made transparent and efficient through the utilization of centralized project and human capital management platforms. A distinctive no-code tech stack is provided, comprising an integrated work allocation system and various tools for workforce and performance management. This comprehensive solution enables real-time tracking of work progress, including task allocation, completion, and reporting. Additionally, our KPI management system incorporates features such as KPI dashboards, in-built reminders, and notifications, ensuring effective performance management throughout the project lifecycle.
Technology implement to ensure data security and protect sensitive information when collaborating with new giggers
when collaborating with new gig workers, technology can implement several measures to ensure data security and protect sensitive information. First, it can utilize encrypted communication channels to safeguard data during transmission. Additionally, implementing strict access controls and user permissions ensures that gig workers have limited access to sensitive information. Employing data encryption techniques for storage and transmission adds an extra layer of protection. For this purpose, the company has earned a SOC2 certification for its handling of sensitive information. Additionally, conducting regular security audits and assessments is crucial to ensure compliance with data security standards. Finally, implementing multi-factor authentication adds an extra layer of security to access sensitive data. Together, these measures help mitigate risks and protect sensitive information throughout the collaboration with gig workers.
Artificial intelligence (AI) and machine learning play in matching the skills and expertise of new giggers with the needs of traditional organizations
AI and Big Data are predominantly employed to optimize the allocation of gig workers to projects, taking into account their skills, availability, and performance. This optimization leads to improved efficiency and customer satisfaction. By analyzing job descriptions, project requirements, and gig workers' profiles, we can identify the skills that are most relevant to each project. Moreover, machine learning algorithms can analyze past data on successful gig worker assignments, project outcomes, and feedback to develop skill mapping models. These models enable us to identify correlations between specific skills and project success, allowing for more accurate skill recommendations when matching gig workers with suitable projects.
Technology provide a reliable and standardized system for evaluating the performance and quality of work delivered by new giggers
Through the use of technology, clear metrics can be established to gauge work completion, while data analysis enables an objective evaluation of performance and work quality. These metrics may include completion rates, customer satisfaction scores, response time, AI and ML-based quality checks, and adherence to deadlines. Project management and task management tools enable real-time tracking of task progress and project milestones, allowing organizations to monitor the timeliness and completion of tasks and gain insights into gig workers' performance. Technology also facilitates ongoing feedback between gig workers and clients through real-time communication channels, enabling immediate feedback on their work. In case of performance issues, technology can support the creation of performance improvement plans and provide targeted training resources to help gig workers enhance their skills and align their work quality with organizational expectations.
Challenges or potential risks associated with relying heavily on technology for collaboration between new giggers and traditional organizations.
While technology-driven collaboration between gig workers and traditional organizations offers numerous advantages, there is a scope of potential risks which need to be addressed as well. This includes data security and privacy concerns, communication and misinterpretation challenges, cultural and language differences, and integration complexities.To mitigate these risks, organizations should prioritize robust cyber security measures, provide training and support on technological tools, foster clear and inclusive communication, establish channels for feedback and conflict resolution, conduct regular performance evaluations, and remain adaptable to refine processes based on feedback. By proactively addressing these challenges, organizations can harness the benefits of technology while minimizing risks and ensuring successful collaboration between gig workers and traditional teams.