Robot Process Automation (RPA) and Its Future

Many software automation techniques have been developed in the last decade to cut down cost, improve customer satisfaction, and reduce errors. Robotic process automation (RPA) has become increasingly popular recently. RPA offers software robots (bots) that can mimic human behavior. Attended robots work in tandem with humans and can operate while the human agent is active on the computer. On the other hand, unattended robots operate behind locked screens and are designed to execute automations that don't require any human intervention. RPA robots are equipped with artificial intelligence engines such as computer vision and machine learning, and both robot types can learn automations by recording human actions.

Beyond RoboDebt

Automated decision support systems with high stake decision processes are frequently controversial. The Online Compliance Intervention (herewith “OCI” or “RoboDebt”) is a system of compliance implemented with the intention to facilitate automatic issuance of statutory debt notices to individuals, taking a receipt of welfare payments and exceeding their entitlement. The system appears to employ rudimentary data scraping and expert systems to determine whether notices should be validly issued. However, many individuals that take receipt of debt notices assert that they were issued in error. The commentary on the system has resulted in a lot of conflation of the system with other system types and caused many to question the role of decision of support systems in public administration given the potentially deleterious impacts of such systems for the most vulnerable. The authors employ a taxonomy of Robotic Process Automation (RPA) issues, to review the OCI and RPA more generally. This paper identifies potential problems of bias, inconsistency, procedural fairness, and overall systematic error. This research also considers a series of RoboDebt specific issues regarding contractor arrangements and the potential impact of the system for Australia's Indigenous population. The authors offer a set of recommendations based on the observed challenges, emphasizing the importance of moderation, independent algorithmic audits, and ongoing reviews. Most notably, this paper emphasizes the need for greater transparency and a broadening of criteria to determine vulnerability that encompasses, temporal, geographic, and technological considerations.

Implementasi Robotic Process Automation Dalam Manajemen Sumber Daya Manusia

Saat ini banyak organisasi atau perusahaan yang menyelaraskan aktivitas operasi mereka dengan kemajuan teknologi informasi. Implementasi teknologi informasi ini memberikan banyak kemudahan, penghematan waktu, dan penurunan biaya. Robotic Process Automation (RPA) adalah perangkat lunak yang didalamnya tertanam teknologi yang memanfaatkan robot perangkat lunak untuk menggantikan kegiatan manusia dalam melakukan tugas administratif. Perangkat lunak RPA terintegrasi dengan fungsi dan alat yang ada untuk menangani tugas-tugas dasar melalui otomatisasi sehingga dapat mengurangi konsumsi waktu, beban biaya pada proses, dan menyelesaikan tugas individu. RPA ini dapat diterapkan dalam aktivitas organisasi atau perusahaan yang memiliki sifat berulang, rawan kesalahan, berbasis aturan, melibatkan data digital, dan memiliki waktu kritis dan musiman serta memerlukan memrosesan data yang banyak. Dalam aktivitas fungsi-fungsi MSDM, RPA dinilai sebagai sebuah solusi yang layak diimplementasikan.

The Challenges of Implementing Robotic Process Automation in Global Business Services

Organizations use a variety of automation tools to simplify their tasks. One of the tools is Robotic Process Automation (RPA). Recently the issues of the less-than-successful use of the system have been raised. To address this issue, the aim of this study is to understand the challenges of implementing RPA in Global Business Services (GBS) industry. The study is conducted using an in-depth case study approach and interviews at one of the world’s largest oil and gas organizations in the GBS industry. The result of the study showed that the organization is facing various challenges and issues during and after implementing the RPA technology in their organization. Amongst the challenges are the limitation of the task that can be automated, system failure, and safety and data privacy issues. The study suggested that good planning during the implementation of RPA and a strong security team are crucial in solving the challenges faced by the organization.

Fostering Innovation Through Humble Leadership and Humble Organizational Culture

Companies understand they need to innovate to stay competitive, but innovation is not as simple as thinking of a great idea and then implementing it. Successful innovation requires supportive actions from leaders and the firm especially when the innovation is complex. In order to foster complex technological innovations, such as robotic process automation (“RPA”), we propose that firms benefit from having (1) humble leadership actions and (2) a humble organizational culture. We share what we learned about our propositions after reviewing the Finance Controllership division within a major multinational technology organization that develops hardware and other computer-related support items.