A Conceptual Framework for Increasing Innovation through Improved Selection of Specialized Professionals

Jeffcoat, Keith L.; Eveleigh, Timothy; Tanju, Bereket

doi:10.1080/10429247.2018.1548231

Cited by 10 publications

(18 citation statements)

References 22 publications

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“…Today, it is becoming obvious that there is a need for employees in various fields and industries who have a unique set of these talents [ 1 ]. The available information about certain competencies and talents for working in the organization has greatly simplified the process of selecting and hiring employees.…”

Section: Resultsmentioning

confidence: 99%

Talent Management: Needs and Prospects for Business Development in the Digital Economy

Sharipov

Krotenko

Dyakonova

2020

Digital Economy and the New Labor Market: Jobs, Competences and Innovative HR Technologies

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In the digital economy, the need and prospects for business development determine their own conditions to the personnel departments of enterprises and organizations. In almost all sectors of the domestic economy, information technology forms a need for knowledge management, taking into account the security of data storage, ensuring the necessary speed of calculations when making a management decision. And the intellectual property of the enterprise itself as a result of systematic knowledge management becomes the most important factor in preserving and increasing the value of business. There is a new form of human resource management subsystem of the company – talent management. System analysis, the method of organizational modeling and analogies are necessary for the study of foreign and domestic scientific sources, best business practices. The purpose of this research is to determine the main activities of the company’s HR departments in the sphere of talent management.

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Section: Resultsmentioning

confidence: 99%

Talent Management: Needs and Prospects for Business Development in the Digital Economy

Sharipov

Krotenko

Dyakonova

2020

Digital Economy and the New Labor Market: Jobs, Competences and Innovative HR Technologies

View full text Add to dashboard Cite

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“…Workers are selected by various organizations based on their capabilities for generating ideas or solving problems related to technology [28]. To allow a worker to participate in difficult tasks, an organization assesses the worker's ability [29].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Only workers having requisite expertise are allowed to carry out the task [33]. For ensuring the workers expertise level filtering [28,33] is performed. Workers are judged according to varied expertise using expertise-estimation approaches [44].…”

Section: Literature Reviewmentioning

confidence: 99%

An Efficient Decision Support System for the Selection of Appropriate Crowd in Crowdsourcing

et al. 2021

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Crowdsourcing is a complex task-solving model that utilizes humans for solving organizational specific problems. For assigning a crowdsourced task to an online crowd, crowd selection is carried out to select appropriate crowd for achieving the task. The efficiency and effectiveness of crowdsourcing may fail if irrelevant crowd is selected for performing a task. Early decisions regarding selection of a crowd can ultimately lead to successful completion of tasks. To select most appropriate crowd from crowdsourcing, this paper presents a decision support system (DSS) for appropriate selection of crowd. The system has been implemented in the Superdecision tool by plotting hierarchy of goals, criteria, and alternatives. Various calculations have been done for performing the proposed research. Results of the study reveal that the proposed system is effective and efficient for selection of crowd in crowdsourcing by performing various pairwise computation of the study.

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“…Expertise [11,[26][27][28][32][33][34][35][36][37] level of the crowd is estimated by expertise filtering. According to the expertise level, a right crowd for a task is selected [33,34].…”

Section: Crowd Selection On the Basis Of Expertise Filteringmentioning

confidence: 99%

“…ere are three forms of profiles. A declarative profile is created by workers themselves, the derived profile is determined from the system's user interaction, and hybrid profile that contains declarative as well as derived information [41].Profiling evaluates the ability of individuals to work [32]. Profiles contain three types of information: first, the voluntary information they provide about themselves; second, the information and criteria that the platforms collect about their job performance; third, the assessments of their customers.…”

Section: Crowd Selection On the Basis Of Individual Profilesmentioning

confidence: 99%

Multicriteria‐Based Crowd Selection Using Ant Colony Optimization

et al. 2021

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Internet-enabled technologies have provided a way for people to communicate and collaborate with each other. The collaboration and communication made crowdsourcing an efficient and effective activity. Crowdsourcing is a modern paradigm that employs cheap labors (crowd) for accomplishing different types of tasks. The task is usually posted online as an open call, and members of the crowd self-select a task to be carried out. Crowdsourcing involves initiators or crowdsourcers (an entity usually a person or an organization who initiate the crowdsourcing process and seek out the ability of crowd for a task), the crowd (online participant who is a having a particular background, qualification, and experience for accomplishing task in crowdsourcing activity), crowdsourcing task (the activity in which the crowd contribute), the process (how the activity is carried out), and the crowdsourcing platform (software or market place) where requesters offer various tasks and crowd workers complete these tasks. As the crowdsourcing is carried out in the online environment, it gives rise to certain challenges. The major problem is the selection of crowd that is becoming a challenging issue with the growth in crowdsourcing popularity. Crowd selection has been significantly investigated in crowdsourcing processes. Nonetheless, it has observed that the selection is based only on a single feature of the crowd worker which was not sufficient for appropriate crowd selection. For addressing the problem of crowd selection, a novel “ant colony optimization-based crowd selection method” (ACO-CS) is presented in this paper that selects a crowd worker based on multicriteria features. By utilizing the proposed model, the efficiency and effectiveness of crowdsourcing activity will be increased.

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A Conceptual Framework for Increasing Innovation through Improved Selection of Specialized Professionals

Cited by 10 publications

References 22 publications

Talent Management: Needs and Prospects for Business Development in the Digital Economy

Talent Management: Needs and Prospects for Business Development in the Digital Economy

An Efficient Decision Support System for the Selection of Appropriate Crowd in Crowdsourcing

Multicriteria‐Based Crowd Selection Using Ant Colony Optimization

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