Search results
1 – 2 of 2Mohan Thite and Ramanathan Iyer
Despite ongoing reports of insider-driven leakage of confidential data, both academic scholars and practitioners tend to focus on external threats and favour information…
Abstract
Purpose
Despite ongoing reports of insider-driven leakage of confidential data, both academic scholars and practitioners tend to focus on external threats and favour information technology (IT)-centric solutions to secure and strengthen their information security ecosystem. Unfortunately, they pay little attention to human resource management (HRM) solutions. This paper aims to address this gap and proposes an actionable human resource (HR)-centric and artificial intelligence (AI)-driven framework.
Design/methodology/approach
The paper highlights the dangers posed by insider threats and presents key findings from a Leximancer-based analysis of a rapid literature review on the role, nature and contribution of HRM for information security, especially in addressing insider threats. The study also discusses the limitations of these solutions and proposes an HR-in-the-loop model, driven by AI and machine learning to mitigate these limitations.
Findings
The paper argues that AI promises to offer many HRM-centric opportunities to fortify the information security architecture if used strategically and intelligently. The HR-in-the-loop model can ensure that the human factors are considered when designing information security solutions. By combining AI and machine learning with human expertise, this model can provide an effective and comprehensive approach to addressing insider threats.
Originality/value
The paper fills the research gap on the critical role of HR in securing and strengthening information security. It makes further contribution in identifying the limitations of HRM solutions in info security and how AI and machine learning can be leveraged to address these limitations to some extent.
Details
Keywords
Murtanti Jani Rahayu, Hakimatul Mukaromah and Mulyanto Mulyanto
The Indonesian government's Village-Owned Enterprises (BUMDes) initiative optimizes Village Resources (SDD)—human and natural—to improve rural communities' welfare. Villagers must…
Abstract
Purpose
The Indonesian government's Village-Owned Enterprises (BUMDes) initiative optimizes Village Resources (SDD)—human and natural—to improve rural communities' welfare. Villagers must participate in many ways. Due to its natural potential, industry, waste management and building management business units, BUMDes Waskito Wijaya in Waru village, Baki sub-district, Sukoharjo Regency, Central Java has the potential to grow. Strengthening social capital helps BUMDes management become sustainable.
Design/methodology/approach
The focus of this research is to find out what social capital characteristics that can improve the development of BUMDes Waskito Wijaya. Thus, this study uses a SWOT analysis to establish BUMDes by promoting village influencers, strong institutions, and internal and external social networks. Thus, strong bonding, linking and bridging will improve BUMDes' involvement in the village. This research describes the organization's internal and external situations and formulates the BUMDes development strategy empirically.
Findings
This study revealed that norms, trust, social networks and infrastructure positively impact BUMDes development. However, the social capital created is still in the bonding stage. While the linking and bridging stages are not yet sufficient to support a productive and prosperous BUMDes.
Originality/value
Thus, the developed strategy encourages the strong leadership spirit of the village influencers, creates aspirational and supportive institutions, and strengthens social networks both horizontally and vertically. Consequently, the linking and bridging that can actively engage in partnerships and build public trust will successfully be achieved. The condition will develop the capacity of BUMDes in providing facilities for the community.
Peer review
The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2022-0700
Details