Impact of Sharing Marketing on Marketing Willingness of Employees in Internet Decoration Industry

With the development of information technology,sharing marketing,as an innovative marketing method,plays an important role in promoting the marketing willingness and enthusiasm of employees in the Internet decoration industry.Based on the data obtained from the ques-tionnaire survey,this paper makes an empirical analysis of the impact of the economic value,social value,perceived ease of use,perceived convenience,enabling conditions and subjective norms of sharing marketing on the marketing willingness of employees in the Internet decoration industry.The results showed that the questionnaire had good internal consistency and construct validity.Through empirical analysis,it can be found that the economic value,social value,perceived ease of use,perceived convenience,enabling conditions and subjective norms of sharing marketing have a significant positive impact on employees'marketing willingness.

Information freshness optimization of multiple status update streams in Internet of things:Generation rate control and service rate reservation

The Internet of things(IoT)has become a key infrastructure providing up-to-date and fresh information for policy analysis and decision-making of upper-layer applications.However,there are limited sensing and communication resources in IoT devices,which significantly affects the timeliness and freshness of the updated status.This work proposes two schemes,namely,the generation rate control and service rate reservation schemes,to improve the overall information freshness of multiple status update streams at the receiver.Specifically,using the recently proposed Age of Information(AoI)as the metric for evaluating information freshness,we characterized the overall information freshness,i.e.,the overall average AoI at the receiver for both schemes,by considering the urgency difference of status update and streams.Both schemes for status updates and streams,respectively,were formulated as two optimization problems.We proved that both problems are convex and the optimal generation and service rates for different streams are found by the standard convex optimization algorithm.Moreover,we proposed both approximate optimal generation and approximate optimal service rate for fast deployment in heavy and light load cases.Numerical results verify the theoretical findings and accuracy of the proposed approximate solutions,guiding the design and deployment of IoT.

Marketing Strategies for Chinese Specialty Agricultural Products under the Internet Environment : Taking Tianshui Qinzhou Big Cherry Industry as an Example

Combined with the current situation of marketing of Chinzhou big cherries in Tianshui,we find out the problems in the development of network marketing of Chinzhou big cherries and put forward corresponding countermeasures and suggestions to improve its marketing level and solve the problem of imbalance between supply and demand of Qinzhou big cherries.

Application of Internet of Things Technology in Enterprise Marketing Management Innovation

Marketing is a very important part of an enterprise.A rational and scientific marketing management can not only reduce the cost of enterprise sales,but also greatly improve the competitiveness of enterprises.The purpose of this paper is to study the innovative application of enterprise marketing management based on the Internet of Things technology.The most suitable competitive strategy of the company is put forward as the centralized strategy.And put forward the clear strategy implementation details,introduced the current situation and history of the Internet of things,and combined with the development status,put forward the necessity of the enterprise marketing management system based on the Internet of things technology.It provides a guiding direction for most enterprises to formulate business competition strategies.The theory and technology used in system development are introduced,including C/S structure,B/S structure,NET Framework,AJAX technology,and database technology.The system design process is introduced in detail,including business process design,architecture design and system operation planning.The functional test cases and test environment for system testing are introduced.The results show that when 200 people log in at the same time,the response time is 1.5 s.

Big Data Usage in the Marketing Information System

Data generation, storage capacity, processing power and analytical capacity increase had created a technological phenomenon named big data that could create big impact in research and development. In the marketing field, the use of big data in research can represent a deep dive in consumer understanding. This essay discusses the big data uses in the marketing information system and its contribution for decision-making. It presents a revision of main concepts, the new possibilities of use and a reflection about its limitations.

Internet based environmental monitoring information system and its application in Yili Prefecture

With the development of Internet technologies, Internet Based Information System (IBIS) arises with more advantages: Firstly, it is convenient for users to use owing to the introduction of Internet technologies. Secondly, it benefits greatly the data dissemination and data sharing based on Internet. The most important but not the last is that we can establish the information service network supported by its technologies and the facilities of information highway. So, it would be significant to design IBIS to realize the data collection, sharing and dissemination on Internet. There are many factors affecting regional environment. So it is not easy to realize the integrated environmental monitoring. Given this, we designed the Internet based environmental monitoring information system. By the virtue of the Internet based environmental monitoring information system, the management and storage of environmental monitoring data would be easier, which lays the foundation to actualize the environmental monitoring efficiently.

Marketing Management for Consumer Products in the Era of the Internet of Things

In the Internet of Things (IoT) consumer products like coffee machines and smoke detectors are connected with the Internet, which effectively expands the Internet to the physical world. Such products have the ability to collect and share data from the user’s environment and, thus, their broad emergence will affect well-established concepts presented in the extant marketing literature. In order to provide a distinct contribution, we focus on customer relationship management, product life cycle management, as well as business model development and discuss implications of the enhanced capabilities of IoT products in these fields. By means of an extensive analysis of current developments in theory and practice, we systematically deduce ten research propositions. The paper concludes with a synthesis of findings and an outlook to promising directions for further research in IoT-oriented marketing management.

Tobacco control challenges in China: Big data analysis of online tobacco marketing information

Objective:To develop tobacco control strategies by analyzing online tobacco marketing information in China.Methods:Using web-crawler software,this study acquired 106,485 pieces of online tobacco marketing information published on 11 different Internet platforms including Weibo,WeChat,Baidu,etc.,from January-June 2018.The data were used to investigate the characteristics and social networks of online tobacco marketing via content and social network analysis.Results:The total volume of online tobacco marketing during the study period was high,showing a positive trend.Of all the marketing subjects,those involving"flavor capsule","Marlboro",and"Esse"were the most popular.The Weibo platform had the highest volume of online tobacco marketing information as well as the largest proportion of explicit marketing information.This was followed by other social media platforms such as Baidu Search,Baidu Tieba,and Xiaohongshu,where implicit marketing information predominated.The overall network structure of tobacco websites exhibited a significant centralization feature,where traditional and novel tobacco websites formed two clusters with almost no intersections.The China Tobacco Science and Education Website(http://www.tobaccoinfo.com.cn/)and E-Cigarette Home(http://ecigm.com/)were the two nodes of the highest degree centrality within the respective"circle",while the China Tobacco Monopoly Bureau Website(http://www.tobacco.gov.cn/)was the node with the highest closeness centrality.By contrast,Baidu Tieba's overall network structure was more decentralized,and the degree of correlation between different nodes was relatively low.Conclusion:Online tobacco marketing demonstrated high volumes and wide coverage,and an intertwined network,thereby creating major obstacles for tobacco control.To address this issue,the government should strengthen network supervision of tobacco marketing and revise its current regulations.Meanwhile,Internet platforms should improve self-regulation by comprehensively removing and blocking tobacco-related information.Lastly,the media and public should advocate associated policies and support Internet platform supervision.

Research on Marketing Model of Green Agricultural Product under the Background of Internet Plus

With the continuous development of networkcommunication technology in recent years, China’ssocialist market has been continuously improved,and the level and standards of modern scienceand technology have also achieved a remarkableimprovement. Coupled with the gradual integration ofeconomies worldwide, China’s Internet technology isalso rapid developing. In the meantime, this ushered thedevelopment and formation of online marketing marketin China. In particular, the business of by-products fromthe agriculture industry can also be promoted throughthe new marketing medium of the network, representinga major change in the market economy. The agriculturalproduct marketing model using Internet Plus helpsfarmers to expand the sales of the agricultural products,and also provides a new opportunity for the furtherdevelopment of the network marketing. The authordiscusses the Internet Plus-based agricultural productmarketing model, encompassing an analysis of theadvantages of marketing green agricultural productsin the Internet Plus era and the status quo of China’sagricultural product marketing activities. Consideringthe sales demand of green agricultural product in thecurrent market and the development of e-commerceunder the Internet Plus model, it will further promotethe development of network marketing activities ofgreen agricultural product in China.

Evaluating the Quality of Malaria-Related Health Information in the Nigerian Internet Context

Background: Patients and public are increasingly relying on Internet for health information. Health care providers are using internet for dissemination of health information. However, health information available on internet is not well regulated, and information quality varies greatly. Malaria is the leading cause of death and disease in many developing countries and has serious health burden around the world. The Internet could become a major resource for malaria education and information in Africa. This may potentially save millions of lives. The purpose of this study is to evaluate the quality of malaria health and treatment information available on the internet provided by the Nigerian context. Methods: Two key terms (malaria & treatment) were entered into three search engines: Google, Yahoo! and Bing. In order to retrieve articles as if the searches were conducted in Nigeria, the Local Area Network (LAN) settings were changed to a Nigerian proxy server, with a local Internet Protocol address. Three raters evaluated the quality of information using the DISCERN [9] instrument criteria. Kendall’s concordance coefficient (W) was calculated to determine the level of agreement among the three raters. Results: Thirty-eight websites evaluated, and the highest inter-rater average score was attributed to the Patient.co.uk website, followed by Wikipedia web site and Malaria Site. The “Home Remedies for You” website received the lowest score. Most evaluated websites were .com domains. The highest average score was given to .co.uk domains while .int had the lowest score. Conclusions: Improving the quality of malaria-related health information could lead to empowering communities, engaging and assisting them to strengthen their health and social information sharing and support.

Internet Marketing Law Frameworks in Serbia

The term internet marketing in the business and organization of campaigns in Serbia is at the beginning of its development.This paper gives an overview of the current state of this branch of marketing with a special emphasis on IT law.Analyzing marketing communication and application in modern information systems,the paper gives answers about the impact of the same on internet marketing.On the other hand,considering the current state of the development of the information society in Serbia,as well as the legal aspects in which internet marketing is currently underway,will try to explain the current state of this branch of marketing in Serbia.

Inflammatory bowel disease: An evaluation of health information on the internet

AIM To evaluate the quality and accuracy of websites written to the public on inflammatory bowel disease(IBD)(Crohn's disease and ulcerative colitis) and assess their readability level.METHODS Google?, Bing?, and Yahoo? search engines were searched independently by three researchers in December 2014. Only English-language websites were selected on the basis of predetermined inclusion and exclusion criteria. Researchers independently evaluated the quality of each website by using the DISCERN and the HONcode instruments. The readability levels were calculated using two formulas; the Flesch-Kincaid Grade Level Index, and the Coleman-Liau Readability Index. The agreement between the evaluators was calculated using Cohen kappa coefficient.RESULTS Eighty-four websites were finally identified. Scores varied from a minimum DISCERN score of 18 to a maximum of 68 [mean ± SD, 42.2 ± 10.7; median = 41.5, interquartile range, interquartile range (IQR) = 15.8] and a minimum score of HONcode of 0.14 and a maximum of 0.95 (mean ± SD, 0.16 ± 0.19; median = 0.45, IQR = 0.29). Most of these websites were reviewed in 2014 and 2015 (n = 51). The creators of these websites were: universities and research centers(n = 25, 30%), foundations and associations (n = 15, 18%), commercial and pharmaceutical companies(n =25, 30%), charities and volunteer work(n = 9, 10%), and non-university educational bodies (n = 10, 12%). The Flesch-Kincaid Grade Level readability score(mean ± SD) was 11.9 ± 2.4 and the Coleman-Liau Readability Index score was 12.6 ± 1.5. Significant correlation was found between the two readability scores (R2 = 0.509, P = 0.001). The overall agreement between evaluators measured by Cohen kappa coefficient was in the range of 0.804-0.876; rated as "Good".CONCLUSION The DISCERN and the HONcode scores of websites varied and the readability levels of most websites were above the public readability level. The study highlights the areas that need further improvement and development in patient education online materials about IBD.

Privacy-Preserving Information Fusion Technique for Device to Server-Enabled Communication in the Internet of Things:A Hybrid Approach

Due to the overwhelming characteristics of the Internet of Things(IoT)and its adoption in approximately every aspect of our lives,the concept of individual devices’privacy has gained prominent attention from both customers,i.e.,people,and industries as wearable devices collect sensitive information about patients(both admitted and outdoor)in smart healthcare infrastructures.In addition to privacy,outliers or noise are among the crucial issues,which are directly correlated with IoT infrastructures,as most member devices are resource-limited and could generate or transmit false data that is required to be refined before processing,i.e.,transmitting.Therefore,the development of privacy-preserving information fusion techniques is highly encouraged,especially those designed for smart IoT-enabled domains.In this paper,we are going to present an effective hybrid approach that can refine raw data values captured by the respectivemember device before transmission while preserving its privacy through the utilization of the differential privacy technique in IoT infrastructures.Sliding window,i.e.,δi based dynamic programming methodology,is implemented at the device level to ensure precise and accurate detection of outliers or noisy data,and refine it prior to activation of the respective transmission activity.Additionally,an appropriate privacy budget has been selected,which is enough to ensure the privacy of every individualmodule,i.e.,a wearable device such as a smartwatch attached to the patient’s body.In contrast,the end module,i.e.,the server in this case,can extract important information with approximately the maximum level of accuracy.Moreover,refined data has been processed by adding an appropriate nose through the Laplace mechanism to make it useless or meaningless for the adversary modules in the IoT.The proposed hybrid approach is trusted from both the device’s privacy and the integrity of the transmitted information perspectives.Simulation and analytical results have proved that the proposed privacy-preserving information fusion technique for wearable devices is an ideal solution for resource-constrained infrastructures such as IoT and the Internet ofMedical Things,where both device privacy and information integrity are important.Finally,the proposed hybrid approach is proven against well-known intruder attacks,especially those related to the privacy of the respective device in IoT infrastructures.

Minimizing Age of Information in the Uplink Multi-User Networks via Dynamic Bandwidth Allocation

Improving the information freshness is critical for the monitoring and controlling applications in the cellular Internet of Things(IoT).In this paper,we are interested in optimizing the bandwidth allocation dynamically to improve the information freshness of the short packet based uplink status updates,which is characterized by a recently proposed metric,age of information(Ao I).We first design a status update scheme with channel distribution information(CDI).By relaxing the hard bandwidth constraint and introducing a Lagrangian multiplier,we first decouple the multi-MTCD bandwidth allocation problem into a single MTCD Markov decision process(MDP).Under the MDP framework,after variable substitution,we obtain the single-MTCD status update scheme by solving a linear programming problem.Then,we adjust the Lagrangian multiplier to make the obtained scheme satisfy the relaxed bandwidth constraint.Finally,a greedy policy is built on the proposed scheme to adjust the bandwidth allocation in each slot to satisfy the hard bandwidth constraint.In the unknown environment without CDI,we further design a bandwidth allocation scheme which only maximizes the expected sum Ao I drop within each time slot.Simulation results show that in terms of AoI,the proposed schemes outperform the benchmark schemes.

Set pair three-way overlapping community discovery algorithm for weighted social internet of things

There are many problems in Social Internet of Things(IoTs),such as complex topology information,different degree of association between nodes and overlapping communities.The idea of set pair information grain computing and clustering is introduced to solve the above problems so as to accurately describe the similarity between nodes and fully explore the multi-community structure.A Set Pair Three-Way Overlapping Community Discovery Algorithm for Weighted Social Internet of Things(WSIoT-SPTOCD)is proposed.In the local network structure,which fully considers the topological information between nodes,the set pair connection degree is used to analyze the identity,difference and reverse of neighbor nodes.The similarity degree of different neighbor nodes is defined from network edge weight and node degree,and the similarity measurement method of set pair between nodes based on the local information structure is proposed.According to the number of nodes'neighbors and the connection degree of adjacent edges,the clustering intensity of nodes is defined,and an improved algorithm for initial value selection of k-means is proposed.The nodes are allocated according to the set pair similarity between nodes and different communities.Three-way community structures composed of a positive domain,boundary domain and negative domain are generated iteratively.Next,the overlapping node set is generated according to the calculation results of community node membership.Finally,experiments are carried out on artificial networks and real networks.The results show that WSIoT-SPTOCD performs well in terms of standardized mutual information,overlapping community modularity and F1.

The portrayal of hearing loss information in online Mandarin videos

Background/purpose:With increasing accessibility to the Internet,patients frequently use the Internet for hearing healthcare information.No study has examined the information about hearing loss available in the Mandarin language on online video-sharing platforms.The study’s primary purpose is to investigate the content,source,understandability,and actionability of hearing loss information in the Mandarin language’s one hundred most popular online videos.Method:In this project,publicly accessible online videos were analyzed.One hundred of the most popular Mandarin-language videos about hearing loss were identified(51 videos on YouTube and 49 on the Bilibili video-sharing platform).They were manually coded for different popularity metrics,sources,and content.Each video was also rated using the Patient Education Materials Assessment Tool for Audiovisual Materials(PEMAT-AV)to measure the understandability and actionability scores.Results:The video sources were classified as either media(n=36),professional(n=39),or consumer(n=25).The videos covered various topics,including symptoms,consequences,and treatment of hearing loss.Overall,videos attained adequate understandability scores(mean=73.6%)but low(mean=43.4%)actionability scores.Conclusions:While existing online content related to hearing loss is quite diverse and largely understandable,those videos provide limited actionable information.Hearing healthcare professionals,media,and content creators can help patients better understand their conditions and make educated hearing healthcare decisions by focusing on the actionability information in their online videos.