Behavior-based pricing: an analysis of the impact of anticipated regret

2021 ◽  
pp. 1-30
Author(s):  
Qin Zhou ◽  
Kum Fai Yuen
Keyword(s):  
Anticipated Regret ◽  
Behavior Based ◽  
The Impact

Industry First AI-Powered Fully Automated Safety Observation System Deployed to Global Offshore Fleet

2021 ◽  
Author(s):  
Nassima Brown ◽  
Adrian Brown ◽  
Abhijeet Degupta ◽  
Barry Quinn ◽  
Dustin Stringer ◽  
...  
Keyword(s):  
Real Time ◽  
Safety Culture ◽  
Safety Management ◽  
Digital Technologies ◽  
Observation System ◽  
Safety Program ◽  
Effective Application ◽  
Behavior Based ◽  
Global Operations ◽  
The Impact

Abstract As the oil and gas industry is facing tumultuous challenges, adoption of cutting-edge digital technologies has been accelerated to deliver safer, more efficient operations with less impact on the environment. While advanced AI and other digital technologies have been rapidly evolving in many fields in the industry, the HSE sector is playing catch-up. With the increasing complexity of risks and safety management processes, the effective application of data-driven technologies has become significantly harder, particularly for international organizations with varying levels of digital readiness across diverse global operations. Leaders are more cautious to implement solutions that are not fit-for purpose, due to concerns over inconsistencies in rolling out the program across international markets and the impact this may have on ongoing operations. This paper describes how the effective application of Artificial intelligence (AI) and Machine Learning (ML) technologies have been used to engineer a solution that fully digitizes and automates the end-to-end offshore behavior-based safety program across a global offshore fleet; optimizing a critical safety process used by many leading oil & gas organization to drive positive workplace safety culture. The complex safety program has been transformed into clear, efficient and automated workflow, with real-time analytics and live transparent dashboards which detail critical safety indicators in real time, aiding decision-making and improving operational performance. The novel behavior-based safety digital solution, referred to as 3C observation tool within Noble drilling, has been built to be fully aligned with the organization's safety management system requirements and procedures, using modern and agile tools and applications for fully scalability and easy deployment. It has been critical in sharpening the offshore safety observation program across global operations, resulting in a boost of the workforce engagement by 30%, and subsequently increasing safety awareness skill set attainment; improving overall offshore safety culture, all while reducing operating costs by up to 70% and cutting carbon footprint through the elimination of 15,000 manhours and half a million paper cards each year, when compared to previously used methods and workflows

scholarly journals Supply Chain Decision-Making and Coordination considering Anticipated Regret under Price Discount

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Jie Jian ◽  
Huipeng Li ◽  
Nian Zhang ◽  
Jiafu Su
Keyword(s):  
Supply Chain ◽  
Sensitivity Coefficient ◽  
Pricing Strategy ◽  
Market Demand ◽  
Anticipated Regret ◽  
Consumer Heterogeneity ◽  
Price Discount ◽  
Demand Functions ◽  
Homogeneous Product ◽  
The Impact

The increasing homogeneous product market has made more competition among companies to focus on improving customers’ experience. In order to get more competitive advantages, companies often launch discount products to attract consumers. However, stimulated by discount products, the perception of anticipated regret is becoming stronger, which is an inevitable issue in front of companies with price discount strategy. Considering the impact of anticipated regret for discount products, this paper quantitatively describes the utility functions and deduces the demand functions of original price products and discount products. The theoretical analysis and numerical simulation are used to analyze centralized and decentralized models of supply chain for discount products. On its basis, the revenue-sharing contract is designed to optimize the profits of supply chain. This paper finds that the price of products increases first and then decreases with the increase of regret sensitivity coefficient and consumer heterogeneity. When the regret sensitivity coefficient and consumer heterogeneity are lower, companies in the supply chain can adopt the “skimming pricing” strategy in order to obtain more profits. When the regret sensitivity coefficient and consumer heterogeneity increase, companies in the supply chain can adopt “penetrating pricing” strategies to stimulate market demand. For high regret consumers, manufacturers can adopt a “commitment advertising” strategy to promise price and quality, and retailers can adopt a “prestige pricing” strategy to reduce consumer perception of regret. In response to products with higher differences in consumer acceptance, manufacturers can adopt a “differentiated customization” strategy to meet different types of consumer demand and retailers can adopt a “differential pricing” strategy for precise marketing.

scholarly journals Analysis of Malware Impact on Network Traffic using Behavior-based Detection Technique

2020 ◽  
Vol 1 (1) ◽  
pp. 17-25 ◽  
Author(s):  
Adib Fakhri Muhtadi ◽  
Ahmad Almaarif
Keyword(s):  
Computer Program ◽  
Network Traffic ◽  
Data Use ◽  
Detection Technique ◽  
Network Information ◽  
Detection Techniques ◽  
Network Traffic Analysis ◽  
Malicious Activity ◽  
Behavior Based ◽  
The Impact

Malware is a software or computer program that is used to carry out malicious activity. Malware is made with the aim of harming user’s device because it can change user’s data, use up bandwidth and other resources without user's permission. Some research has been done before to identify the type of malware and its effects. But previous research only focused on grouping the types of malware that attack via network traffic. This research analyzes the impact of malware on network traffic using behavior-based detection techniques. This technique analyzes malware by running malware samples into an environment and monitoring the activities caused by malware samples. To obtain accurate results, the analysis is carried out by retrieving API call network information and network traffic activities. From the analysis of the malware API call network, information is generated about the order of the API call network used by malware. Using the network traffic, obtained malware activities by analyzing the behavior of network traffic malware, payload, and throughput of infected traffic. Furthermore, the results of the API call network sequence used by malware and the results of network traffic analysis, are analyzed so that the impact of malware on network traffic can be determined.

scholarly journals RERANGKAINTEGRASI NILAIPELANGGAN DAN KINERJA MANAJEMEN HUBUNGAN PELANGGAN BERDASARKAN PERSEPSI PELANGGAN KORPORAT

2010 ◽  
Vol 9 (1) ◽  
Author(s):  
Ellen Dwi Cahya ◽  
Siti Rahayu ◽  
Ema Andajani
Keyword(s):  
Customer Satisfaction ◽  
Customer Relationship Management ◽  
Brand Loyalty ◽  
Customer Value ◽  
Relationship Management ◽  
Customer Behavior ◽  
Customer Relationship ◽  
Management Performance ◽  
Behavior Based ◽  
The Impact

This research focuses on the influence of the dimensions of customer value to the customer satisfaction, brand loyalty, and customer behavior-based Customer Relationship Management performance; the influence of customer satisfaction on brand loyalty and customer behavior-based Customer Relationship Management performance; the influence of brand loyalty to customer behavior-based Customer Relationship Management performance. Based on samples taken the corporate customer Hotel Roditha Banjarmasin, then this research shows that customers value that includes emotional value, functional value has a significant impact on customer satisfaction, brand loyalty, and customer behavior-based Customer Relationship Management performance, while the other dimensions of customer value customer perceived sacrifices have no significant impact on customer satisfaction, brand loyalty, but the impact on customer behavior-based Customer Relationship Management performance and social values have a significant impact on customer satisfaction and brand loyalty; customer satisfaction has a significant impact on brand loyalty and customer behavior-based Customer Relationship Management performance ; and brand loyalty has a significant impact on customer behavior-based Customer Relationship Management performance

scholarly journals The Impact of Narrative Strategy on Promoting HPV Vaccination among College Students in Korea: The Role of Anticipated Regret

Vaccines ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 176 ◽  
Author(s):  
Jarim Kim
Keyword(s):  
Undergraduate Students ◽  
Hpv Vaccine ◽  
Hpv Vaccination ◽  
Vaccine Uptake ◽  
Vaccine Hesitancy ◽  
Anticipated Regret ◽  
The Public ◽  
The Impact ◽  
Hpv Vaccine Uptake

Human papillomavirus (HPV) vaccine hesitancy contributes to unsatisfactory vaccination coverage in Korea despite its high efficacy in preventing various diseases including cervical cancer. To enhance HPV vaccine uptake, effective communication with the public is key. To develop effective health promotion messages, this study examined the effects of message format on attitudes and intentions toward HPV vaccination, specifically focusing on anticipated action and inaction regrets. It employed a randomized experimental message design format (narrative versus didactic messages). A total of 222 Korean undergraduate students who had not received the HPV shot participated in the experiment. The results showed that didactic messages produce greater anticipated inaction regret, which further influences HPV vaccination attitudes and behaviors. Anticipated regret could potentially explain mixed narrative effects across health behaviors as described in existing literature.

I Regret as My Family Fallows My Entrepreneurial Self-Efficacy! Evidence from the Male Sample of an Emerging Economy (Pakistan)

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ishfaq Ahmed ◽  
Talat Islam
Keyword(s):  
Family Support ◽  
Self Efficacy ◽  
Moderated Mediation ◽  
Entrepreneurial Intentions ◽  
Anticipated Regret ◽  
Short Run ◽  
Work Family ◽  
Entrepreneurial Activities ◽  
The Impact

Abstract Entrepreneurial activities require thoughtful and cumbersome efforts, positive and forward-looking upward spiral, and strong entrepreneurial intentions. Drawing from the work-family interface model, this study aims at investigating the impact of entrepreneurial self-efficacy (ESE) on venturing intentions through moderated mediation mechanisms of family support and regret. The data were collected from 335 male graduate students of business schools through questionnaires from public sector universities of Pakistan in two lags, because the participation of the labor force in Pakistan is primarily influenced by the demographical composition (i.e., Males), which is linked with cultural traits of the nation. The study used Hayes Macros to test the hypotheses. The findings of the study reveal that ESE positively influences intentions, while low family support reduces the effects of ESE. Low family support also increases the regret of not starting a business for those individuals who had high self-efficacy. A Moderated-mediation mechanism also exists among the variables of the interest. This study reports the effects of low family support and regrets on intentions in the short-run (i.e., four months interval), future studies should conduct longitudinal studies to understand the long-term relationship. Increasing unemployment in developing countries requires unique and timely solutions and entrepreneurship is the most viable one. But this study highlights an important considerations of family support while making policy decisions. The findings highlight that mere entrepreneurial self-efficacy is not enough, and due to collectivist culture the family norms have great impact on the entrepreneurial choices and intentions. This study examines the mechanism between ESE and entrepreneurial intentions considering anticipated regret as a mediating variable and family support as a conditional variable. This study is first of its kind that has linked family support, ESE, regret, and entrepreneurial intentions using the work-family interface. It explains how family support can enhance regret and the relationship between self-efficacy and intentions.

Insider Threat Detection with Behavior-Based Attestation

2014 ◽  
Vol 568-570 ◽  
pp. 1370-1375
Author(s):  
Heng Qin ◽  
Jin Hui Zhao
Keyword(s):  
Information System ◽  
User Behavior ◽  
Insider Threat ◽  
Threat Detection ◽  
Subjective Logic ◽  
Network Information ◽  
Perception Process ◽  
Behavior Based ◽  
The Impact ◽  
Huge Challenge

Insiders, who have the lawful authority in network information system, formed a huge threat to security by abuse and misuse of authority. It has become one of huge challenge to the security of information system. Against the features of more subtle and more difficult to find, this paper study how to perceive the trusted behavior of insiders with behavior-based attestation. Taking into account the impact of various uncertainties in monitoring and perception process, dynamic awareness model of insider threat is presented based on subjective logic. In order to find the insider threats, monitoring data of actual behaviors are compared with operation tree; legality of the user behavior dynamically analyzed according to historical experience and current experience; the trust of user behavior legitimacy is represented as trust point in subjective logic. Finally, experiments are employed to test the validity and applicability of proposed method.

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