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Open research questions in Employer Branding and e-HRM

281 unresolved questions extracted from the limitations and future-work sections of 1,319 Employer Branding and e-HRM papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • Future research could explore the role of culture in responses to AI-based recruitment in other cultural contexts. Future research could examine the impact of AI-based interviews on other outcomes, such as job satisfaction or performance. Future research could investigate the effects of different types of AI-based interviews, such as video or chat-based interviews.

    AI-based interviews and applicant perceptions: insights from China and Pakistan · 2026 · DOI

  • Japan-based online English schools that predominantly employ Filipino teachers have emerged and expanded rapidly, yet the recruitment websites through which they are hired remain critically understudied.

    Promise, gate, constraint: the recruitment rhetoric of online English schools targeting Filipino teachers · 2026 · DOI

  • While DT may support operational efficiency and resource optimization, sustainability was not directly measured and should be explored in future research.

    Digital human resource management and digital competencies: keys to sustainable digital transformation in SMEs · 2026 · DOI

  • Further research is needed to replicate the findings of this study, partic- ularly those concerning recruitment activities and applicants’ reactions at later recruitment stages, and to extend the recruitment literature. Although the impact of recruitment activities upon post-employment reactions has not been well examined, the realistic job preview literature supports a signif- icant effect upon retention (Premack & Wanous, 1985).

    ORGANIZATIONAL RECRUITMENT ACTIVITIES AND APPLICANTs' REACTIONS AT DIFFERENT STAGES OF THE RECRUITMENT PROCESS · 1987 · DOI

  • The study identifies a gap in the literature by combining the human resource management, marketing, and financial performance literature in a single framework. The paper highlights the relevance of matching the employer value propositions with corporate brand identity.

    Employer Branding, Customer Perception, and Financial Performance: An Integrated Analysis · 2026 · DOI

  • Creating a digital work environment that meets the needs of HR employees. Ensuring that digital systems are user-friendly and reliable. Providing effective digital training programs that enable employees to acquire new skills.

    The Influence of Platform Ease of Use, IT Infrastructure Quality and Digital Training Effectiveness on the Digital Employee Experience of Human Resources Department Employees · 2026 · DOI

  • There is a need to examine the influence of platform ease of use, IT infrastructure quality, and digital training effectiveness on the digital employee experience. Prior research has not fully explored the relationships between these variables and the digital employee experience.

    The Influence of Platform Ease of Use, IT Infrastructure Quality and Digital Training Effectiveness on the Digital Employee Experience of Human Resources Department Employees · 2026 · DOI

  • The study did not examine how the effect of AI-adoption signals on organizational attractiveness occurs - The study did not set the sample as real job seekers in Study 1 - The sample size was limited to 145 participants in Study 1 and 240 participants in Study 2

    Signaling Organizational Artificial Intelligence Adoption in Recruitment Materials: Role of Perceived Innovation Ability in Organizational Attractiveness · 2026 · DOI

  • Examining the long-term effects of AI-adoption signals on organizational attractiveness - Investigating the role of AI self-efficacy in moderating the association between AI-adoption signals and organizational attractiveness - Recruiting real job seekers to improve external validity

    Signaling Organizational Artificial Intelligence Adoption in Recruitment Materials: Role of Perceived Innovation Ability in Organizational Attractiveness · 2026 · DOI

  • Traditional recruitment methods are inadequate for handling the volume and complexity of modern hiring processes. There is a need for a scalable, cost-effective solution that enhances recruitment efficiency while maintaining transparency and fairness in candidate evaluation.

    Recruit AI: An AI-powered intelligent recruitment management system · 2026 · DOI

  • Short-term Enhancements Planned short-term improvements include development of advanced analytics dashboard featuring time-to-hire metrics, source-of-hire tracking, diversity and inclusion analytics, and predictive hiring trend analysis. Native mobile applications for iOS and Android platforms with push notification support and mobile-optimized application processes are prioritized. Enhanced chatbot capabilities including integration with application database for real-time status queries, multi-language support for international recruitment, and voice interaction capabilities will improve user experience. Integration of video interview scheduling, AI-powered interview analysis for sentiment and keyword detection, and recording functionality will provide comprehensive recruitment workflow support. 8.2 Long-term Research Directions Long-term research will explore deep learning integration utilizing BERT or GPT-based models for semantic matching, named entity recognition for automated skill extraction, and automated skill taxonomy generation. Bias detection and mitigation through fairness-aware matching algorithms, bias auditing tools for job descriptions, and anonymized screening options will address ethical considerations in AI-powered recruitment. Predictive analytics including candidate success prediction based on historical hiring outcomes, attrition risk modeling, and skill gap analysis with training recommendations will enhance strategic workforce planning. Blockchain integration for verifiable credential storage, immutable application history, and decentralized candidate profiles represents an innovative direction. Federated learning approaches enabling privacy-preserving collaborative model training across organizations, shared skill taxonomies without data sharing, and industry-wide matching benchmarks will advance the field.

    Recruit AI: An AI-powered intelligent recruitment management system · 2026 · DOI

  • The lack of resources for adopting AI in recruitment processes. The need for automation intelligence for holistic end-to-end recruitment decision-making. The underutilization of advanced applications like predictive analytics and bias reduction.

    Role of Artificial Intelligence in the Recruitment Process of Information Technology Sector in Hyderabad City, India · 2026 · DOI

  • There is a lack of empirical evidence on the role of AI in recruitment processes in Hyderabad. Advanced applications like predictive analytics and bias reduction remain underutilized.

    Role of Artificial Intelligence in the Recruitment Process of Information Technology Sector in Hyderabad City, India · 2026 · DOI

  • The actual experiences of frontline recruiters are less systematically understood. The organizational conditions that mediate successful AI tool adoption are insufficiently characterized.

    Recruiter's Perception of Artificial Intelligence Based Tools in Recruitment at Virtusa, Chennai · 2026 · DOI

  • The paper recommends examining 'longitudinal relationship between AI tool adoption maturity and measurable recruitment quality outcomes' but provides no baseline metrics for adoption maturity assessment or recruitment quality measurement. Specific operational metrics (time-to-hire, offer acceptance rate, diversity metrics, retention of hired candidates) should be defined and tracked.

    Recruiter's Perception of Artificial Intelligence Based Tools in Recruitment at Virtusa, Chennai · 2026 · DOI

  • AI-based recommendation systems. Blockchain-enabled certificate verification for global trust.

    A Competency Based Recruitment Mechanism using Cognitive Taxonomy and Vectorization Techniques · 2026 · DOI

  • Security testing addressed SQL injection vulnerabilities and authentication mechanisms, but the paper does not specify protections against adversarial attacks on the vectorization model or skill assessment algorithms that could manipulate candidate scores or job recommendations.

    A Competency Based Recruitment Mechanism using Cognitive Taxonomy and Vectorization Techniques · 2026 · DOI

  • The findings are primarily based on employees' perceptions and personal experiences, which may be subjective. The study is limited to remote onboarding practices and does not consider traditional or hybrid onboarding methods. The research is conducted within a specific organizational context, and the results may not be universally applicable.

    A Study on Effectiveness of Remote On-Boarding practices in Talent Hire Consultancy Company · 2026 · DOI

  • Further studies can investigate the impact of remote onboarding on employee productivity and job satisfaction. Research can explore the effectiveness of different remote onboarding strategies and their applications in various industries. Future studies can also examine the role of technology in enhancing remote onboarding experiences.

    A Study on Effectiveness of Remote On-Boarding practices in Talent Hire Consultancy Company · 2026 · DOI

  • The study used a convenience sampling method due to time and accessibility constraints. The sample size was limited to 30 respondents. ATS may overlook suitable candidates due to keyword-based filtering. Human judgment may introduce bias.

    A Study of Role of Applicant Tracking System in Candidate Screening: A Comparison with Human Decision Making in Companies · 2026 · DOI

  • Further research can be conducted to explore the effectiveness of ATS in different industries. The study can be replicated with a larger sample size to increase generalizability. Future research can investigate the impact of ATS on candidate experience.

    A Study of Role of Applicant Tracking System in Candidate Screening: A Comparison with Human Decision Making in Companies · 2026 · DOI

  • The study identifies significant implementation challenges, including algorithmic bias and data privacy risks. The study notes that the effectiveness of technology-driven recruitment tools varies based on integration depth and HR team training levels. The study highlights the need for organizations to implement robust data governance frameworks and secure data handling protocols.

    A Study on the Effectiveness of Technology-Driven Recruitment and Selection Practices in Modern Organizations · 2026 · DOI

  • Limited to a sample size of 100 respondents. Convenience sampling technique used, which may not be representative of the population. No experimental design or control group used.

    AI in Recruitment: Addressing Bias, Ethical Issues, and Fair Hiring Practices · 2026 · DOI

  • Limited empirical research on AI recruitment practices in developing countries. Lack of standardized frameworks for measuring fairness in hiring systems. Insufficient integration of ethical guidelines into organizational practices.

    AI in Recruitment: Addressing Bias, Ethical Issues, and Fair Hiring Practices · 2026 · DOI

  • The lack of human touch in AI-based recruitment. Algorithmic bias in AI-based recruitment. Resume manipulation in AI-based recruitment.

    The Impact of Artificial Intelligence in Recruitment on Recruitment Efficiency · 2026 · DOI

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281 open questions have been extracted from the limitations and future-work passages of 1,319 Employer Branding and e-HRM papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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