How to Discourage Adversaries From Affecting Decision Outcomes of a Repeated Patent Application Decision--Making Process

Outcomes of repeated decision--making processes may be affected by adversarial actors, without being noticed. Adversaries may try to gain knowledge about a particular decision--making process, identify its decision--makers, and guess which underlying decision support model is used. Then they can simulate the process, and craft different scenarios to affect its decision outcomes. Therefore, designers of decision support systems need to incorporate this in the decision modeling phase. The purpose of this study is to demonstrate this for the repeated decision--making in a patent application process. In this process, two sequential decision outcomes can be affected by adversarial actors: a company's decision to which type of patent office to send a patent request to, and the decision of a specialized patent officer to grant an application, or not. It is motivated that the company's decision--maker is \emph{bounded} rational. A theory for information--theoretic bounded rational decision--making under uncertainty proposed by Ortega et al.\ is adopted to model this type of decision--maker. A framework is provided to simulate a number of scenarios that adversaries may deploy to affect decision outcomes of a repeated patent application decision--making process. The framework is also utilized for statistically testing the presence of the scenarios, and to demonstrate how to discourage adversaries from deploying them.

DECISION SUPPORT SYSTEMS INCREASE RANK USING AHP WEB – BASED ON PT TAMBANG BUKIT ASAM (PERSERO) TBK

Decision support system is a system adopted from human knowledge, which can help people in the decision making process. In research conducted at PT Coal Bukit Asam (Persero) authors see most of the systems currently used in the search process of promotion of employees still in manual form, causing the length of the assessment process associated with a promotion for every employee of the company in accordance with any the criteria that have been specified company. Various weighting of criteria and sub criteria established companies are always considered manager to each process of inputting assessment. Therefore, the authors make a decision support system application manager that can facilitate the process of inputting weight rating decision promotion of employees in accordance with the criteria and sub-criteria that have been specified company. Application decision support system of promotion is designed using Analytical Hierarchy Process that the process to obtain the priority weighting is done by comparing each criteria and sub-criteria. Decision to be achieved can help managers to determine who the employees are entitled to a promotion in accordance with keptusan obtained from the application of this decision-making system.

The influence of digital marketing on recruitment effectiveness: a qualitative study

Purpose The purpose of this paper is to unfold how different digital marketing tools and strategies influence recruitment effectiveness. More specifically, it focusses on understanding if, and how, information sources’ credibility, content marketing, and organisational reputation influence candidates’ decision to apply for a job in the Portuguese market. Design/methodology/approach A qualitative research, aligned with a content analysis, was conducted to focus on the insights from the 21 participants interviewed, to understand their thoughts and experiences regarding the subject. Findings The results show that digital marketing tools owned by the company are seen to be more credible and more relevant for the job application decision. LinkedIn is considered to be a more credible platform for advertising job openings than Facebook. In terms of content marketing, LinkedIn has a positive influence on candidates’ decision, as well as companies’ reputation. Practical implications This study provides practical implications which are useful for both HR and marketing managers, namely, the implementation of an integrated marketing communication strategy, the reinforcement of the company’s website and LinkedIn page and a presence on universities’ platforms, and also in terms of the information that content marketing should focus on. Originality/value This research paper incorporates marketing insights into a well-known HRM subject – recruitment, and thus adds further knowledge to the literature and prepares the ground for researchers who wish to explore this subject further.

Designing Software Application Decision With Multi Criteria Android-based Analytic Network Process Algorithm

Multi-criteria decision-making is one of the techniques in determining a choice of several alternative options. There are several methods in making decisions, one of which is ANP (Analytic Network Process). ANP is a development of AHP (Analytic Hierarchy Process) method. AHP is a hierarchical method in which any existing criteria will be compared first which will produce an ordinary matrix. While ANP is a network method that compares all things including criteria and alternatives that exist so as to obtain a super matrix is very complex. Currently ANP method is not only calculated but already there is software support one of them is Super Decisions. The software can be used to generate a decision by the ANP method. Every software must have advantages and disadvantages. That's why there is a need for software development that has been there before to appear new software better.

Health Technology Assessment (HTA) and Access Policies

For patients, innovations in healthcare can be both a great blessing (when saving people’s life or improving quality of life), as well as a curse (when only few people have access, e.g., because of high prices). Thus, when healthcare innovations are proven safe and ready for application, decision makers have to apply access policies and sometimes face difficult assessments. In this context, health technology assessment (HTA) plays a crucial role at European Union level, forming an evidence-based, transparent basis for decision making through joint assessments. However, pricing and reimbursement aspects are exempt from collaborative assessments, since these are in the responsibility of the EU Member States: according to Art. 168(7) TFEU the ‘organisation and delivery of health services and medical care [… including] the allocation of the resources assigned to them’ remain an exclusive competence of Member States. However, future challenges may require further cooperation.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN “BEST AGENT” DENGAN METODE PROFILE MATCHING (GAP)

In English, The problem of selecting the "Best Agent" is still done manually, by giving a value to the form that contains the assessment criteria and the sum of the values of each criterion that is averaged so that the final result is obtained. The purpose of this study is to discuss and build systems and models for making decisions to determine the "Best Agent" using the Profile Matching method. Application Decision Support System Selection "Best Agent" Profile Matching method an application designed to provide accurate decisions based on current data and can be accounted for, this is expected to improve the quality of staff and the expectations it builds to improve the quality of Human Resources. Dalam Bahasa Indonesia, Permasalah Pemilihan “Best Agent” masih dilakukan secara manual, dengan memberikan nilai pada form yang berisi kriteria penialain dan hasilnya adalah penjumlahan nilai dari tiap kriteria yang dirata-rata sehingga memperoleh hasil akhir. Tujuan penelitian ini adalah untuk merancang dan membangun sebuah sistem dan model dalam pengambilan keputusan untuk menentukan ”Best Agent” menggunakan metode Profile Matching. Aplikasi Sistem Pendukung Keputusan Pemilihan “Best Agent” metode Profile Matching merupakan sebuah aplikasi yang dirancang untuk memberikan sebuah alternatif keputusan yang akurat didasarkan pada data terkini dan dapat dipertanggungjawabkan, hal ini diharapkan dapat meningkatkan kualitas kinerja staff dan harapan besarnya adalah terbangunnya peningkatan kinerja yang baik sehingga meningkatkan kualitas Sumber Daya Manusia.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN “BEST AGENT” DENGAN METODE PROFILE MATCHING (GAP)

The problem of selecting the "Best Agent" is still done manually, by giving a value to the form that contains the assessment criteria and the sum of the values of each criterion that is averaged so that the final result is obtained. The purpose of this study is to discuss and build systems and models for making decisions to determine the "Best Agent" using the Profile Matching method. Application Decision Support System Selection "Best Agent" Profile Matching method an application designed to provide accurate decisions based on current data and can be accounted for, this is expected to improve the quality of staff and the expectations it builds to improve the quality of Human Resources.