Guna kekuatan tingkat kecekapan, bijak urus inovasi

Melalui Rancangan Malaysia Ke-12 (RMK-12), langkah mempercepatkan penggunaan teknologi dan inovasi akan ditumpukan kepada pendigitalan dan teknologi termaju, termasuk berteraskan Revolusi Perindustrian Keempat (IR4.0)

Offer Strategy Model of Integrative Negotiation for Automated Negotiation Agent: Multiple Equivalent Simultaneous Offers and Argumentation-based Negotiation

Automated negotiation has attracted increasing interest and received phenomenal attention in the area of electronic market (e-market). Most of the studies on the automated negotiation focused on the distributive (zero-sum) negotiation, and their effectiveness is only illustrated in a single-issue negotiation between software agent-to-software agent interaction. In this study, we propose an offer strategy model of integrative negotiation for an automated negotiation agent and focus on software agent-to-human interaction. Our offer strategy model is based on the integrative approach and negotiation theory, which emphasize the importance of exchanging information among negotiators and multi-issue negotiation including package offers helping to achieve an integrative (win-win) outcome. In developing this model, we are incorporating negotiation strategy of argumentation-based negotiation and negotiation tactic of multiple equivalent simultaneous offers as an offer strategy to achieve an integrative (win-win) negotiation outcome. We expect that the result from applying the offer strategy model becomes more attractive and persuasive, thus may increase negotiation outcome satisfaction for both economic measure and social-psychological measure

Bibliometric review on human resources management and big data analytics

Purpose; This study aims to provide an in-depth understanding of big data analytics (BDA) in human resource management (HRM). The emergence of digital technology and the availability of large volume, high velocity and a great variety of data has forced the HRM to adopt the BDA in managing the workforce. Design/methodology/approach; This paper evaluates the past, present and future trends of HRM through the bibliometric analysis of citation, co-citation and co-word analysis. Findings; Findings from the analysis present significant research clusters that imply the knowledge structure and mapping of research streams in HRM. Challenges in BDA application and firm performances appear in all three bibliometric analyses, indicating this subject’s past, current and future trends in HRM. Practical implications; Implications on the HRM landscape include fostering a data-driven culture in the workplace to reap the potential benefits of BDA. Firms must strategically adapt BDA as a change management initiative to transform the traditional way of managing the workforce toward adapting BDA as analytical tool in HRM decision-making. Originality/value; This study presents past, present and future trends in BDA knowledge structure in human resources management

Systematic literature review: an analysis of skill mismatch measurement

The rapid growth of technology in the era of Industry 4.0 has caused the dynamic labor market to grow faster than ever before. This resulted in a mismatch between the jobs offered and the skills required. Thus, it raised the number of unemployability. The objective of this paper is to analyze the measurement of skill mismatch. Shortcomings and flaws in previous measurement methods and a broad definition of skill mismatch hindered the issues to be solved. The introduction of online job analysis has been seen as increasingly more valuable in measuring labor market conditions. Overcoming the issues such as cost, time lag, and biases, this measurement has been seen to be the new trend among scholars to shed the light on skill mismatch measurement. This paper analyzed 402 papers on online job data (vacancy, advertisement, portal) published from 2017 to 2022 from Scopus and Web of Science databases. Preferred Reporting Items for Systematic Review & Meta-Analyses (PRISMA) were used for this study. After the inclusion and exclusion criteria, ten papers from Scopus and five papers from the Web of Science database that matched with the criteria objective have been selected. Therefore, the study found that analyzing online job data is the new trend to be used in improving the labor market with more of the data could be used for the improvement to the previous method of measuring the skill mismatch proble

Linking integrity with road pricing cause-and-effect model: A system dynamics simulation approach

With Malaysia's rapid urbanisation and continuous improvement of living standards, vehicle ownership and trip volume continue to grow. Increases in motor traffic in large cities and their environs result in a number of social, environmental, and economic issues, which are frequently attributable to the widespread use of automobiles as the primary mode of urban transportation. This exacerbates traffic congestion on the country's highways, particularly in urban areas such as Kuala Lumpur. This traffic congestion poses an ongoing threat to the sustainability of transport development. Thus, by using the system dynamics, this study establishes a cause-and-effect relationship regarding the implementation of road pricing as a tool for reducing congestion and a stepping stone for enhancing sustainability. Road pricing is a direct charge assessed to drivers who use the road network with the goal of reducing the number of private vehicles on the road during peak hours. The developed Causal Loop Diagram (CLD) composed of five subsystems: road congestion, road attractiveness, new road construction, public transportation, and road pricing. The road congestion, new road construction, and road pricing all encounter mutual reinforcement as a result of a variety of negative polarities. As a result, authorities should place a greater emphasis on these loopholes, as they will inevitably result in unexpected changes. Additionally, by incorporating holistic perspectives from previous works and experts in the field, CLD can aid in identifying the primary factors underlying the problem being studied. In future work, the developed CLD should be extended to the next stage of the SD model, dubbed stock-flow-diagram (SFD)

Development of a computer simulation on road pricing strategy to reduce congestion and carbon dioxide emission: A system dynamics approach

Road congestion influences the quality of lifestyle for urban areas including Kuala Lumpur, the capital city of Malaysia. It is predicted that the demand for mobility in the city will be increased tremendously in the next ten years. Consequently, this problem has contributed to air pollution caused by carbon dioxide emissions. One of the solutions suggested by the expertise is road pricing via a direct charge to drivers who use the road during peak hours. In this regard, this research aims to develop a computer simulation based on a system dynamic approach for mitigating congestion and carbon dioxide emission via a road pricing strategy. Firstly, the identified variables were correlated to understand the behavior of the system. Subsequently, the correlated variables were embedded in the stock-flow diagram based on the system dynamics approach to investigate how a variable affects another variable. Then, the developed model was simulated for evaluating the impact of road pricing strategy in reducing congestion and carbon dioxide emission. As a result, the emission of carbon dioxide can be reduced to 6 percent in six days if road pricing is implemented. From the managerial perspective, this research helps highway stakeholders in Malaysia towards making a better decision in enforcing road pricing strategy in the fast-moving city for a better lifestyle and environment

Offer Strategy Model of Integrative for Automated Negotiation Agent: MESOArgN

학위논문(박사)--서울대학교 대학원 :경영대학 경영학과,2019. 8. Park, Jinsoo.Automated negotiation has attracted increasing interest and received phenomenal attention in the area of the electronic market (e-market). Most of the studies on the automated negotiation focused on the distributive (zero-sum) negotiation, and their effectiveness is only illustrated in a single-issue negotiation between software agent-to-software agent interaction. In this study, we propose an offer strategy model of integrative negotiation for an automated negotiation agent and focus on software agent-to-human interaction. Our offer strategy model is based on the integrative bargaining model, which emphasize the importance of exchanging information among negotiators and multi-issue negotiation including package offers helping to achieve an integrative (win-win) outcome. In developing this model, we are incorporating the negotiation strategy of argumentation-based negotiation and negotiation tactic of multiple equivalent simultaneous offers as an offer strategy to achieve an integrative (win-win) negotiation outcome. To evaluate the proposed offer strategy, the agent negotiation was deployed and an experiment was conducted which 49 agent-human negotiation over three-issues online purchase task. Experiment result indicates that the proposed offer strategy with agent negotiation can enhance the persuasiveness of an offer and performance of negotiation outcome (human counterparts perception toward negotiation process, opponent – agent and desire for future negotiation). The finding confirms the effectiveness of the proposed design and demonstrates an innovative e-commerce transaction.자동 협상은 전자 시장 (e-market) 분야에서 점점 더 많은 관심을 끌고 있다. 대부분 자동 협상에 대한 연구는 배포 협상에 (zero sum) 중점을 두었으며, 그 효과는 소프트웨어 에이전트간 상호 작용 간의 단일 문제 협상에서만 설명했다. 이 연구에서는 자동화된 협상 에이전트에 대한 통합 협상의 제안 전략 모델을 제안하고 소프트웨어 에이전트대 인간 상호 작용에 중점을 둔다. 우리의 제안 전략 모델은 통합 협상 모델을 기반으로하며, 협상가 간의 정보 교환의 중요성을 강조하고 도움이되는 패키지 제공을 포함하여 다중 문제 협상은 통합적 결과 (win-win)를 달성할수 있다. 이 모델을 개발하면서 우리는 통합 (win - win) 협상 결과를 달성하기 위한 제안 전략으로 여러 동등한 동시 제안의 (multiple equivalent simultaneous offers) 논쟁 기반 협상 (argumentation-based negotiation) 전략과 협상 전술을 통합하고 있다. 그 제안 전략을 평가하기 위해 에이전트 협상을 전개하고 3가지 문제의 온라인 구매 작업에 대한 49명 인간 에이전트 협상을 실시했다. 실험 결과는 에이전트 협상을 가진 제안된 전략은 협상 결과의 제안 그리고 성과의 설득력을 향상할 수 있다는 것을 나타낸다 (협상 프로세스, opponent - agent 및 마래의 협상 욕망에 대한 인간 상대방의 인식). 이 연구 결과는 제안된 설계의 효과를 확인하고 혁신적인 전자 상거래 (e-commerce) 거래를 무효화한다.Table of Contents Chapter 1. Introduction 10 1.1. Study Background 10 1.2. Purpose of Study 11 1.3. Previous Study 13 Chapter 2. Literature Review 15 2.1 Negotiation 15 2.2 Software Agent 17 2.2.1 Agent Characteristics 19 2.3 Automated Negotiation 24 2.3.1 Type of automated negotiation 24 2.3.1 Automated Negotiation Research Topic 27 2.4 Automated Negotiation Agent 32 Chapter 3. Theoretical Background 34 3.1 Theory 34 3.1.1 Integrative Bargaining Model 34 3.1.2 Social Judgment Theory 35 3.2 Research Model 37 3.2.1 Negotiation Offer Strategy 37 3.2. 1.1 Multiple Equivalent Simultaneous Offer (MESO) 38 3.2. 1.2 Argumentation-based Negotiation (ABN) 39 3.2. 1.3 Integrative Settlement 40 3.2. 1.4 Counterparts social-psychological outcome 40 3.3 Hypothesis Development 41 3.3.1 Trust 41 3.3.2 Information 42 3.3.3 Perception of Negotiation Situation 43 3.3.4 Perception of Other Party 43 3.3.5 Desire for Future Negotiation 44 3.3.6 Settlement Ratio 44 Chapter 4. Methodology 47 4.1 Research Methodology 47 4.2 Design – System Architecture 48 4.4 Design 56 4.4.1 Measure 56 4.4.2 Material 57 4.4.3 Participant 59 4.4.4 Procedure 60 Chapter 5. Data Analysis and Result 61 5.1 Variable 61 5.2 Data Analysis 61 5.2.1 Demographic Analysis 61 5.1.1 Hypothesis testing 66 5.2 Result 68 5.2.1 Research Model 1: Integrative Settlement 68 5.2.2 Research Model 2: Counterparts Social Psychological Outcome 74 Chapter 6. Discussion 82 6.1 Finding 82 6.2 Implication 84 6.3 Limitation and Future Research 85 6.4 Conclusion 86 Bibliography 88 Appendix A 97 SmartPLS Result 97 Abstract in Korean 99Docto

A Study of Integrative Bargaining Model with Argumentation-Based Negotiation

E-commerce is increasingly competitive and there is a constant need for new approaches and technology to facilitate exchange. Emerging techniques include the use of artificial intelligence (AI). One AI tool that has sparked interest in e-commerce is the automated negotiation agent (negotiation-agent). This study examines such agents, and proposes an offer strategy model of integrative negotiation for a negotiation-agent with a focus on negotiation agent-to-human interaction. More specifically, a new offer strategy was developed based on the integrative bargaining model, which emphasizes the importance of exchanging information among negotiators and multi-issue negotiation that includes package offers to achieve an integrative (win-win) outcome. This study incorporated an argumentation-based negotiation and the negotiation tactic of multiple equivalent simultaneous offers, which was programmed into the negotiation-agent. An experiment was conducted performing 49 negotiation-agent-to-human negotiations over three issues in online purchase tasks to demonstrate the effectiveness of the proposed strategy. Experimental results indicated that the proposed offer strategy with agent negotiation can enhance the persuasiveness of an offer and the performance of negotiation outcome (human counterpart’s perception toward negotiation process, opponent–agent and desire for future negotiation). The findings confirmed the effectiveness of the proposed design and demonstrated an innovative approach to e-commerce transaction

Theories and antecedents of knowledge sharing behaviour in virtual community: A systematic review

Virtual Community (VC) isregarded as the best platform for professionals in various fields to share their expertise and knowledge. Since the escalation of web 2.0 and the internet within the last decade and the booming interest in big data and expansion of industry 4.0, VC is deemed as an ideal proxy for practitioners to share and earned instant knowledge that can beimplemented within business activities and day to day application. Despite this emerging interest, there has been no comprehensive study on the overall antecedents of KS in VC. Applying a systematic review, a total of 68 relevant articles that discusses knowledge sharing (KS) via VC are evaluated. Several central themes of theories applied in this field within the literature are discussed on its importance and relevance. Important antecedents arealso reviewed on its practicality and implementation in understanding the role of KS in VC. The implication of this review would benefit stakeholders in maintaining the sustainability of VC as the platform for a knowledge-based society

Linking integrity with road pricing cause and effect model: a system dynamics simulation approach

With Malaysia's rapid urbanisation and continuous improvement of living standards, vehicle ownership and trip volume continue to grow. Increases in motor traffic in large cities and their environs result in a number of social, environmental, and economic issues, which are frequently attributable to the widespread use of automobiles as the primary mode of urban transportation. This exacerbates traffic congestion on the country's highways, particularly in urban areas such as Kuala Lumpur. This traffic congestion poses an ongoing threat to the sustainability of transport development. Thus, the aim of this study is to establish a cause-and-effect relationship based on a system dynamics approach regarding the implementation of road pricing as a tool for reducing congestion and a stepping stone for enhancing sustainability. Road pricing is a direct charge assessed to drivers who use the road network with the goal of reducing the number of private vehicles on the road during peak hours. The developed Causal Loop Diagram (CLD) composed of five subsystems: road congestion, road attractiveness, new road construction, public transportation, and road pricing. The road congestion, new road construction, and road pricing all encounter mutual reinforcement as a result of a variety of negative polarities. As a result, authorities should place a greater emphasis on these loopholes, as they will inevitably result in unexpected changes. Additionally, by incorporating holistic perspectives from previous works and experts in the field, CLD can aid in identifying the primary factors underlying the problem being studied. Furthermore, the developed CLD could enlighten the Malaysian government and the stakeholders of road construction regarding the causal relationship towards road pricing strategy in reducing traffic congestion effectively