Social Welfare Analysis under Different Levels of Consumers’ Privacy Regulation

With the rapid development of information technology, digital platforms can collect, utilize, and share large amounts of specific information of consumers. However, these behaviors may endanger information security, thus causing privacy concerns among consumers. Considering the information sharing among firms, this paper constructs a two-period duopoly price competition Hotelling model, and gives insight into the impact of three different levels of privacy regulations on industry profit, consumer surplus, and social welfare. The results show that strong privacy protection does not necessarily make consumers better off, and weak privacy protection does not necessarily hurt consumers. Information sharing among firms will lead to strong competitive effects, which will prompt firms to lower the price for new customers, thus damaging the profits of firms, and making consumers’ surplus higher. The level of social welfare under different privacy regulations depends on consumers’ product-privacy preference, and the cost of information coordination among firms. With the cost of information coordination among firms increasing, it is only in areas where consumers have greater privacy preferences that social welfare may be optimal under the weak regulation.

Download Full-text

Accelerating the Social Media Process: The Impact of Internet Celebrity Word-of-Mouth Communication and Relationship Quality on Consumer Information Sharing

International Journal of Human Resource Studies ◽

10.5296/ijhrs.v10i1.16043 ◽

2020 ◽

Vol 10 (1) ◽

pp. 201

Author(s):

Liping Liu ◽

Chih-Cheng Fang

Keyword(s):

Social Media ◽

Information Sharing ◽

Relationship Quality ◽

Information Acquisition ◽

Word Of Mouth ◽

Rapid Development ◽

Consumer Information ◽

Research Fields ◽

Word Of Mouth Communication ◽

The Impact

With the rapid development of "Internet plus", the number of Internet users in China has increased rapidly, and the number of active users of social media software ranks first in the world. Large Numbers of network users are also potential consumer groups. Social media influences other consumers through consumer interaction and social interaction, and consumers are transformed into active information acquisition rather than passive information reception. Word of mouth marketing on social media has become one of the hottest research fields. Based on the information adoption model, this study explores the impact of internet celebrity word-of-mouth communication on consumer information sharing from four dimensions: internet celebrity word-of-mouth communication, relationship quality, face consciousness, and consumer information sharing and establishes a research model to provide references and suggestions for subsequent researchers and enterprise management.

Download Full-text

Privacy Protection of Social Networks Based on Classified Attribute Encryption

Security and Communication Networks ◽

10.1155/2019/9108759 ◽

2019 ◽

Vol 2019 ◽

pp. 1-14 ◽

Cited By ~ 1

Author(s):

Lin Zhang ◽

Li Li ◽

Eric Medwedeff ◽

Haiping Huang ◽

Xiong Fu ◽

...

Keyword(s):

Social Networks ◽

Privacy Protection ◽

Rapid Development ◽

Good Friend ◽

Privacy And Security ◽

Protection Scheme ◽

Data Owner ◽

System Overhead ◽

The Cost ◽

Cache Mechanism

With the rapid development of social networks, privacy has also attracted attention. Based on this problem, a privacy protection scheme for social networks based on classified attribute encryption (PPSSN) is proposed for the data owner and attribute management server to manage user permissions; the approach reduces data owner overhead and also avoids use of a property management server to limit access user collusion attacks. To balance the privacy and security of data publication, this scheme classifies users and designs access control for different users and different privileges. In addition, this paper also introduces a good friend data cache mechanism to improve and optimize the original scheme to reduce the cost of decryption. The efficiency and system overhead of the proposed scheme are compared and analyzed based on experiments. The experiments show that the proposed scheme improves query efficiency, reduces system cost, and enhances privacy security.

Download Full-text

Strategic behavior in a vacation queue with delayed observations

RAIRO - Operations Research ◽

10.1051/ro/2021110 ◽

2021 ◽

Author(s):

Jingchuan Zhang ◽

Gang Chen ◽

Zaiming Liu

Keyword(s):

Social Welfare ◽

Strategic Behavior ◽

Computer Network ◽

Service System ◽

Equilibrium Strategy ◽

Net Benefit ◽

Vacation Model ◽

Game Theoretic ◽

The Cost ◽

The Impact

We study an emerging computer network model of delayed observations in which the system is unobservable for the customers at their arrival instants, but after a while, they are informed about their current positions and they may renege. We develop a queueing-game-theoretic vacation model to explore customers' equilibrium strategy, stationary system behavior and social welfare based on a reward-cost structure. Our main results are as follows. First, we determine a closed form of the customers' equilibrium strategy, the expected net benefit of a customer and social welfare in the service system. Second, extensive numerical experiments that demonstrate the effect of vacation rate θ and system announcement rate δ on the equilibrium strategy and social welfare. We find that the impact of announcement rate δ is greater than vacation rate θ in some cases. Finally, we show that the equilibrium strategy can give customers more information and reduce the cost of waiting. Moreover, our results can also provide more precise information to the system administrators.

Download Full-text

Dual-Channel Green Supply Chain Decision-Making and Coordination considering CSR and Consumer Green Preferences

Discrete Dynamics in Nature and Society ◽

10.1155/2021/5301461 ◽

2021 ◽

Vol 2021 ◽

pp. 1-18

Author(s):

Xiaochun Chen ◽

Rui Zhang ◽

Bo Lv

Keyword(s):

Supply Chain ◽

Social Welfare ◽

Rapid Development ◽

Consumer Surplus ◽

Green Supply Chain ◽

Supply Chain Performance ◽

Dual Channel ◽

Green Preferences ◽

Corporate Social ◽

The Impact

With the rapid development of the Internet and changes in consumer buying habits, many manufacturers are increasingly relying on online channels to sell their products as opposed to traditional retail channels. In this study, we innovatively investigate the impact of corporate social responsibility (CSR) and consumer green preferences (CGP) on supply chain performance and product green level in the dual-channel green supply chain (DCGSC). Specifically, four models of DCGSC (centralized, independent CSR, cooperative CSR, and collaboration contract) are investigated. Next, we use game theory to investigate the optimal product green level, online and offline selling prices, social welfare, profits of supply chain enterprises, and the whole supply chain under the four models. We give numerical examples to demonstrate the effectiveness and viability of the four models. We find several interesting conclusions. First, increasing the attention to both CSR and CGP by supply chain enterprises is conducive to stimulating innovation and improving product green level. Second, when supply chain enterprises actively execute their CSR, they can reasonably control online and offline selling prices and increase consumer surplus and the profits of whole supply chain and social welfare are increased. Third, it is beneficial to increase the value of supply chain enterprises to enhance CSR within a certain threshold, but when CSR is higher than the threshold, the profitability of supply chain enterprises is weakened. Finally, collaboration contracts are capable of coordinating DCGSC and guaranteeing the profitability of supply chain enterprises.

Download Full-text

Analysis of Improvement of BIM-Based Digitalization in Engineering, Procurement, and Construction (EPC) Projects in China

Applied Sciences ◽

10.3390/app112411895 ◽

2021 ◽

Vol 11 (24) ◽

pp. 11895

Author(s):

Yu Zheng ◽

Llewellyn C. M. Tang ◽

K. W. Chau

Keyword(s):

Construction Projects ◽

Rapid Development ◽

Dynamic Change ◽

Laboratory Data ◽

Information Modeling ◽

Time Performance ◽

Building Information ◽

Questionnaire Surveys ◽

The Cost ◽

The Impact

Digitalization is considered a dynamic change process powered by the rapid development of innovative concepts (e.g., building information modeling) that brings substantial potential benefits to the construction industry. However, previous studies of the benefits of digitalization (BIM) were mainly based on laboratory data rather than actual practices, which compromised the reliability of the results for construction practitioners. This study investigated the impact of digitalization in EPC construction projects by integrating descriptive statistics and survey-based exploratory factor analysis (SEFA). After a detailed review of related studies and meetings with experts, ten main variables and 14 unified variables were identified. The data on these variables were collected by questionnaire surveys and the extraction of information from project documentation. A total of 62 participants from 33 EPC construction projects responded to the questionnaire survey. The SEFA results indicated that digitalization can improve both the cost and time performance, with greater potential for improvement in time performance for EPC projects. In a scenario with limited digitalization implementation, this research could motivate future researchers to develop more applied research and guidelines to achieve best practices in the domain of the digitalization of construction projects.

Download Full-text

Predictive and Reactive Distribution of Vaccines and Antivirals during Cross-Regional Pandemic Outbreaks

Influenza Research and Treatment ◽

10.1155/2011/579597 ◽

2011 ◽

Vol 2011 ◽

pp. 1-14

Author(s):

Andrés Uribe-Sánchez ◽

Alex Savachkin

Keyword(s):

Large Scale ◽

Predictive Distribution ◽

Institute Of Medicine ◽

Policy Performance ◽

Lost Productivity ◽

Myopic Policy ◽

The Cost ◽

The Impact ◽

Different Levels ◽

Effective Distribution

As recently pointed out by the Institute of Medicine, the existing pandemic mitigation models lack the dynamic decision support capability. We develop a large-scale simulation-driven optimization model for generating dynamic predictive distribution of vaccines and antivirals over a network of regional pandemic outbreaks. The model incorporates measures of morbidity, mortality, and social distancing, translated into the cost of lost productivity and medical expenses. The performance of the strategy is compared to that of the reactive myopic policy, using a sample outbreak in Fla, USA, with an affected population of over four millions. The comparison is implemented at different levels of vaccine and antiviral availability and administration capacity. Sensitivity analysis is performed to assess the impact of variability of some critical factors on policy performance. The model is intended to support public health policy making for effective distribution of limited mitigation resources.

Download Full-text

The Impact of Health Information Sharing on Hospital Costs

Healthcare ◽

10.3390/healthcare9070806 ◽

2021 ◽

Vol 9 (7) ◽

pp. 806

Author(s):

Na-Eun Cho

Keyword(s):

Information Sharing ◽

Health Information ◽

Hospital Costs ◽

Cost Savings ◽

Cost Of Care ◽

Health It ◽

Substantial Progress ◽

The Cost ◽

The Impact ◽

Health Information Sharing

Despite substantial progress in the adoption of health information technology (IT), researchers remain uncertain as to whether IT investments benefit hospitals. This study evaluates the effect of health information sharing on the cost of care, and whether the effect varies with context. Our results suggest that information sharing using health IT, specifically the extent (breadth) and level of detail (depth) of information sharing, helps to reduce the cost of care at the hospital level. The results also show that the effects of depth of information sharing on cost savings are salient in poor and less-concentrated regions, but not in wealthier, more-concentrated areas, whereas the the effects of breadth of information sharing on cost savings are equivalent across wealth and concentration. To realize the benefits of using health IT more effectively, policy makers’ strategies for encouraging active use of health IT should be informed by market characteristics.

Download Full-text

DAMPAK PEMBUANGAN LIMBAH BAHAN BERBAHAYA DAN BERACUN (B3) TERHADAP KESEJAHTERAAN SOSIAL MASYARAKAT DESA LAKARDOWO KABUPATEN MOJOKERTO

WELL-BEING: Journal of Social Welfare ◽

10.52423/well-being.v2i1.20007 ◽

2021 ◽

Vol 2 (1) ◽

pp. 191

Author(s):

Yoelanda Ananta Dhevi Wardani ◽

Muhammad Rusli ◽

Ambo Upe

Keyword(s):

Data Collection ◽

Social Welfare ◽

Agricultural Land ◽

Toxic Waste ◽

Well Water ◽

Clean Water ◽

Cost Of Living ◽

The Social ◽

The Cost ◽

The Impact

The research aims to determine the impact of hazardous and toxic waste substances (B3) disposal toward the social welfare in Lakardowo village Mojokerto. The type of this research is descriptive qualitative. The data collection that used is by observation, interview and documentation with 10 people in Lakardowo village. The result of this research is the impact of hazardous and toxic waste substances (B3) disposal toward social welfarestarting from material, social and spiritual, such as reducing the income that hit the majority society as a farmer in Lakardowo village which feel the damage in their agricultural land and increasing the cost of living for clean water. The emerge of Dermatitis or itchy disease that mostly attacks children body as a result of using well water or water sources in Lakardowo village. The rise of conflict between two camps in the society that causing the reduce of spiritual activities and also customs, which make the social welfare in Lakardowo village unfulfilled.

Download Full-text

Unraveling Behavioral Ordering: Relative Costs and the Bullwhip Effect

Manufacturing & Service Operations Management ◽

10.1287/msom.2021.1030 ◽

2021 ◽

Author(s):

Brent B. Moritz ◽

Arunachalam Narayanan ◽

Chris Parker

Keyword(s):

Supply Chain ◽

Information Sharing ◽

Human Behavior ◽

Bullwhip Effect ◽

Problem Definition ◽

Supply Chain Costs ◽

Cost Impact ◽

Managerial Implications ◽

The Cost ◽

The Impact

Problem definition: We study the bullwhip effect and analyze the impact of human behavior. We separate rational ordering in response to increasing incoming orders from irrational ordering. Academic/practical relevance: Prior research has shown that the bullwhip effect occurs in about two-thirds of firms and impacts profitability by 10%–30%. Most bullwhip mitigation efforts emphasize processes such as information sharing, collaboration, and coordination. Previous work has not been able to separate the impact of behavioral ordering from rational increases in order quantities. Methodology: Using data from a laboratory experiment, we estimate behavioral parameters from three ordering models. We use a simulation to evaluate the cost impact of bullwhip behavior on the supply chain and by echelon. Results: We find that cost increases are not equally shared. Human biases (behavioral ordering) at the retailer results in higher relative costs elsewhere in the supply chain, even as similar ordering by a wholesaler, distributor, or factory results in increased costs within that echelon. These results are consistent regardless of the behavioral models that we consider. The cognitive profile of the decision maker impacts both echelon and supply chain costs. We show that the cost impact is higher as more decision makers enter a supply chain. Managerial implications: The cost of behavioral ordering is not consistent across the supply chain. Managers can use the estimation/simulation framework to analyze the impact of human behavior in their supply chains and evaluate improvement efforts such as coordination or information sharing. Our results show that behavioral ordering by a retailer has an out-sized impact on supply chain costs, which suggests that upstream echelons are better placed to make forecasting and replenishment decisions.

Download Full-text

Information-sharing strategy for online platform: the impact of suppliers’ price and advertising competition

Journal of Contemporary Marketing Science ◽

10.1108/jcmars-08-2020-0032 ◽

2020 ◽

Vol 3 (3) ◽

pp. 365-384

Author(s):

Dongsheng Yang ◽

Minghui Xu

Keyword(s):

Information Sharing ◽

Price Competition ◽

Rapid Development ◽

Content Type ◽

Online Platform ◽

Retail Business ◽

Sharing Strategy ◽

Demand Information ◽

Optimal Information ◽

The Impact

PurposeIn recent years, with the rapid development of the Internet and e-commerce, the online retail business has grown rapidly. E-commerce platforms can track different click data to understand consumer behavior and demand preferences, so as to make better demand forecasts, and strategically share this information with upstream suppliers. When the platform charges a certain fee for the shared data, the suppliers face the question of whether to purchase demand information. This article aims to analyze the influence of price competition and advertising competition on the suppliers' decisions to purchase information and the online platform for data pricing.Design/methodology/approachBy using static game with incomplete information, this paper explores information-sharing strategies of an online platform with two competitive brand suppliers. The authors use Nash game to analyze the suppliers' purchasing information decision and then obtain the optimal information price of the online platform with information-sharing contract.FindingsThis paper shows that demand information sharing benefits both the platform and the suppliers. Without information contracts, the online platform is willing to share demand information with at least one supplier. Especially, when the consumer's sensitivity to advertising is larger and the commission fee charged by the online platform is small, the online platforms will share information with only one supplier. Based on the game outcomes between the suppliers, two pricing strategies for information are proposed under which at least one supplier purchases information. If the consumers are less (more) sensitive to advertising competition, pricing strategy of the online platform induces both suppliers (only one supplier) to purchase information.Originality/valueAt present, most of the information-sharing articles are based on the traditional purchase and sale mode. Based on the background of e-commerce, this paper examines the online platform's information-sharing strategies, which has certain innovation. In addition, the results show that the information-sharing strategy of the online platform is affected by both the price and advertising competitiveness, which provides a new expansion and supplement for the information-sharing literature.

Download Full-text