Human–Computer Interaction and Participation in Software Crowdsourcing

Improvements in communication and networking technologies have transformed people’s lives organizations’ activities. Web 2.0 innovation has provided a variety of hybridized applications tools that changed enterprises’ functional processes. People use numerous platforms to broaden their social contacts, select items, execute duties, learn new things. Context: Crowdsourcing is an internet-enabled problem-solving strategy utilizes human–computer interaction leverage the expertise people achieve business goals. In crowdsourcing approaches, three main entities work collaboration solve various problems. These are requestors (job providers), platforms, online users. Tasks announced by on users, after passing initial screening, allowed these tasks. Crowds participate rewards. Motivation: gaining importance as alternate outsourcing approach software engineering industry. application development involves complicated tasks vary considerably from micro-tasks available such Amazon Mechanical Turk. To obtain tangible opportunities realm development, corporations should first grasp how this technique works, what problems occur, factors might influence community involvement co-creation. Online communities become more popular recently with rise platforms. concentrate specific help solving managing Objectives: We set goals research crowd interaction: (1) find appropriate characteristics utilized for effective crowdsourcing, (2) highlight motivation virtual tasks, (3) evaluate primary participation reasons assessing crowds using Fuzzy AHP TOPSIS method. Conclusion: developed decision support system examine crowdsourcing. Rewards employments were evaluated motives accomplishing knowledge sharing was third reason, ranking fourth, competency fifth, socialization sixth, source inspiration seventh.