International Journal of Services Operations and Informatics (16 papers in press)
Performance and Cost Analysis of a Finite Capacity Queue with Two Heterogeneous Servers under F-policy
by Dong-Yuh Yang, Nien-Che Yang
Abstract: All previous works on F-policy queues with multiple servers have focused on multiple homogeneous servers. This paper presents an analytical analysis on the F-policy M/M/2/K queue with heterogeneous servers. We obtained the steady-state distribution of the number of customers in the system and developed a variety of performance measures. The expected cost function was constructed to determine the optimal threshold value and optimal service rates with the objective of minimizing the expected cost per unit time. To this end, we developed an algorithm based on the quasi-Newton method to solve the problem of cost minimization. Finally, sensitivity analysis was conducted using numerical examples.
Keywords: F-policy; heterogeneous servers; optimization; quasi-Newton method; sensitivity analysis.
Population Distribution Patterns and Urban Social Structure: A Spatial Statistical Analysis of Suzhou City
by C.A.O. Can-ming, DUAN Jin-jun
Abstract: The purpose of this paper is to reveal the population distribution pattern and socio-spatial structure of Chinas secondary metropolis. The global autocorrelation analysis and local autocorrelation analysis were used to explain the population distribution pattern of Suzhou, Jiangsu Province, China. The socio-spatial structure of Suzhou was revealed by factor analysis. The results showed spatial characteristics of spatial distribution of population in Suzhou were very significant, and positive correlation was evident, the shape of the population distribution of old city was HH mode (high population density around higher population density); and the shape of the population distribution of Tong an town and Dongzhu town was LL mode (low population density around lower population density); The main social factors included floating population factor, the agricultural population factor, urban residential factor, the poverty factor of old central city, intellectuals factor and retired personnel factor. Urban social areas of Suzhou in 2010 were divided into six areas, Social-spatial areas differentiation of Suzhou was a significant circle structure, but some social-spatial areas were fan-shaped distribution and it was Circle + fan structure model as a whole.
Keywords: spatial statistical analysis; socio-spatial structure; factorial analysis; social areas.
Comparative Study on Comprehensive Competitiveness of the Comprehensive Innovation and Reform Pilot Area under Chinese Innovation Evolutionary Path Perspective
by Zhenyuan Liu, Shuhua Hu, Renyan Mu
Abstract: After analyzing the connotation of regional strategy of Chinese innovation evolutionary path, this paper builds comprehensive competitiveness evaluation system of the pilot area, combining internal relations and differences among the comprehensive innovation and reform pilot area, the national high-tech Development Zone, and the indigenous innovation demonstration zone. By using composite correlation entropy matter-element model of grey correlation, this paper evaluates development of eight regions (those are Beijing-Tianjin-Hebei, Sichuan, Anhui, Guangzhou, Shanghai, Wuhan, Xi'an, Shenyang etc.) from four dimensions of support vector ability, innovation ability, social contribution, export earning power, and comprehensive competitiveness of the eight regions is ranked. Finally, countermeasures and suggestions are proposed for advantages and shortcomings of the eight pilot zones.
Keywords: Chinese innovation evolutionary path; regional strategy; comprehensive innovation and reform pilot area; innovation-driven.
Cost Minimization for Television Advertising Schedules Designed by Media Agencies
by Po Yu Chen
Abstract: This study explored advertising schedule design from the perspective of media agencies. The objective was to minimize the total cost of advertisements to be broadcast within a unit time. This study makes the following three main contributions: (a) In contrast to previous advertising scheduling studies that have focused on the perspective of single advertisers, the present study considered decision-making problems comprehensively, because the optimal scheduling of media agencies does not represent that of a single advertiser and may not satisfy multiple advertisers optimal scheduling requirements. (b) When advertising volume is used to compare various forms of television advertisements (e.g., marquees and news tickers), media agencies can evaluate the advertising volume demand per unit time after accepting television advertising commissions from businesses; subsequently, media agencies can determine whether the advertising time sessions of specific television channels meet their demands of advertising volume per unit time. (c) The optimal integer programming solution of the proposed model is determined, and the results of sensitivity analysis are displayed as an additional research outcome.
Keywords: Advertising Schedules; Media Agencies; Mathematical models; Advertiser; Commercial break.
Evolutionary Stability Analysis of Government Supervision on Recycling of E-wastes
by Yuxiang Yang, Zuqing Huang
Abstract: Facing an increasing number of e-wastes, we should take effective and efficient method to solve this problem. In this paper, we develop an evolutionary game model between the government and the manufacturers. We analyze the two groups stability conditions and their behaviors. Moreover, we study the effect of some parameters on their stability. Results show that whether manufacturers recycle e-wastes or not is closely related to recycling cost, profit of recycling, and governmental subsidies or penalties. Therefore, the government should provide subsidies to encourage manufacturers to recycle more e-wastes, and increase the punishment for those who have not recycled e-wastes. In order to promote local governments to perform their functions in terms of waste reduction, the penalties from superior departments should be increased, and it is feasible to introduce a third-party supervision mechanism to decrease the cost of government supervision.
Keywords: e-wastes; evolutionary stationary analysis; government supervision; evolutionary game theory; equilibrium analysis.
Mining Usage Profile to Improve Web Performance Testing
by Junwen Zhang, Qunqun Xue, Dalin Zhang
Abstract: Testing is an important means to ensure the high quality, high performance and high reliability of Web application system. This paper focuses on how to improve the testing performance by using usage profile generation method. First, apply the Web mining technology to performance test, proposes usage profile generation method based on historical data mining, include the log file preprocessing, presents a frequent access pattern tree generation algorithm to dig out users frequent access pattern, analyzes user behavior characteristics, and constructs user usage profile approximate to the real usage. Then applied the usage profile into the performance test design stage, and guide test scenarios; Finally, by comparison experiments to verify that the proposed usage profile can effectively guide the process of test design, and can improve the accuracy of performance test results.
Keywords: Web Performance Testing; Data mining; Usage profile; Performance Testing Model; Occurrence probability.
Capacity expansion decisions into asymmetric cost behavior: reviews and search for new determinants
by Karrar Azeez, Han DongPing, Marwah Marwah
Abstract: The effect of Capacity expansion decisions on cost response with respect to changes in capacity factors is still unclear although several studies have been conducted on asymmetric cost behavior. Reportedly, cost stickiness based on operations/production research could develop new thoughts on asymmetric cost behavior as a result of capacity expansion factors. Herein, capacity factors affecting asymmetric cost behavior was investigated by providing alternative view(s) which takes primitives of cost behavior, resources adjustment cost and capacity expansion decisions into consideration. Consequently, a theoretical framework was developed to explain and justify how capacity factors are able to drive sticky costs. The study revealed that, cost stickiness was affected by capacity factors thus, complex capacity problems and estimates of adjustment costs. Furthermore, production evaluation methods employed to measure adjustment costs which subsequently affects cost stickiness was investigated for the first time. Further and detailed studies are suggested to be conducted in the future.
Keywords: asymmetric cost behavior; capacity expansion decisions; cost stickiness; capacity factors.
Research on User Generated Content Behaviors in Social Shopping Community based on Swift Guanxi perspective
by Wei Zhang
Abstract: Over the past few years, the study of factors influencing the user generated content (UGC) in the social shopping community has gained attention from academia and industry. What is missing in the literature is the effect of swift Guanxi. This study examines the UGC behavior from swift Guanxi perspective. Drawing from stimulus-response theory, this study establishes the role of swift Guanxi in influencing UGC based on the data collected from 338 Chinese social shopping community users. The results show that interest, perceived interactivity and perceived similarity between customers and sellers has a positive impact on swift Guanxi and trust; trust is positively related with swift Guanxi; swift Guanxi has a positive influence on user generated content (UGC) and purchase intention. The mediation effects of swift Guanxi in the Model have also been examined.
Keywords: social shopping community; Swift Guanxi; User generated content(UGC).
A Prediction Method of the Cellphone Replacement Based on Dominance-based Rough Set Approach
by Weibin Deng, Shimin Dai, Ye Yuan
Abstract: This paper proposes a unique method on predicting cellphone replacement which helps increase profit, enhance users satisfaction level and brand loyalty. The method uses the dominance-based rough set approach (DRSA) to solve the problem caused by mobile user datas characteristics of large-scale, incomplete, uncertain and inconsistent. The features of the users data are extracted based on domain experts knowledge. The decision attributes are divided into five statuses in order to avoid the severer imbalance problem of only considering replacement group and non-replacement group. The maximum certainty of every class union is measured and used as the corresponding variable threshold value to control the decision rule extraction process. This method is capable of combining domains prior knowledge and datas characteristics effectively. In addition, it strengthens the adaptability for dealing with inconsistent information systems. Through comparing with the existing algorithms, the efficiency of the proposed method is illustrated.
Keywords: cellphone users; precision marketing; domain knowledge; data-driven data mining; dominance-based rough set approach.
A Dynamic Decision Model of Users' Sustained Participation in Crowdsourcing Innovation
by Meng Qingliang, Xu Xinhui
Abstract: As a new open innovation model, crowdsourcing innovation is used to make full use of external crowd wisdoms to realize innovation performance. Its essence is to breakthrough traditional organizational boundaries, acquire and integrate external network knowledge so as to improve innovation performance. Due to the complexity and diversity of innovative tasks and users free, voluntary participation, it is showed that the crowdsourcing innovation in practice with poor innovation performance and low willingness of users sustained participation. Therefore, based on the theory of relationship marketing and knowledge sharing, this paper defines the concept of knowledge commitment in crowdsourcing innovation process, and the point is proposed that the essence of users' sustained participation in crowdsourcing innovation is the establishment of knowledge commitment. Then the key effect factors of knowledge commitment are analyzed, the dynamic optimal decision model of users' sustained participation is established. The optimal decision results via the dynamic optimization techniques are discussed and the main findings are as follows: (1) Comparing mutual trust and perceived satisfaction between participants to their propensity for opportunism and the enterprises discount rate, the enterprise can implement commitment-independent or commitment-dependent decision rules. (2) The enterprises optimal knowledge acquisition effort increases with the increase of the mutual trust and perceived satisfaction between participants, and it decreases with the enterprises (users) opportunism, and it is always non-increasing with the increase of participants commitments. The optimal control criterions proposed in the paper provide guidance for enterprises to motivate users sustained participation in crowdsourcing innovation.
Keywords: Crowdsourcing innovation; Knowledge acquisition; Sustained participation; Optimal control.
Research on Application of Interactive Forestry Science Popularization Based on Enhanced Experience
by Dongna Cai
Abstract: In the information era of new media, the popularization of forest science is faced with the requirements of digitization. Augmented reality (AR) technology has been favored by every field due to its characteristics of virtuality and reality combination, three-dimension registration and real-time interaction; however, the development and application of AR technology in the popularization of forest science are relatively behindhand. The traditional Chinese flower arrangement art in the National Intangible Cultural Heritage List has been chosen as the research subject of this paper. Digital technologies such as digital photography, two-dimensional drawing, three-dimensional modeling and unity construction and integration are mainly applied. The research focuses on the inheritance and development of flower arrangement art in the direction of digitized popularization to develop an APP for popularizing the interactive vertical flower arrangement based on AR technology.
This research aims to achieve scientific popularization, enjoyment and immersion of flower arrangement art. Meanwhile, users can produce new vertical flower arrangements through interesting transformation to form an effective approach to scientific popularization from passive reception to initiative practice. The results have expanded the dimension of displaying traditional Chinese flower arrangement artworks, but also extended the vitality of the artworks and greatly enhanced users experience of reality, art and practice through use of scientific popularization products.
Keywords: Forestry science popularization; Enhanced experience; Art of flower arrangement; Three-dimensional images; Interactive applicationsrn.
The Corporate Inventory model under Continuous Demand: A Simulation-based Analysis
by Qiang Zhao
Abstract: Based on queuing theory and inventory theory, in this paper, the production rate, the production cycle, shipping rates of enterprise goods are analyzed, and the integration model on corporate inventory under continuous demand is constructed; on this basis, it uses Anylogic simulation platform for the analysis of integration model. Simulation results show that Anylogic is an important tool for the integration of enterprise inventory resource.
Keywords: Inventory; queuing theory; Anylogic; simulation.
Gender Differences in Consumers Word-of-Mouth Willingness in Social Networks: A Moderated Mediation Model
by Yan LI, Ziwei WANG
Abstract: This paper investigates the influence of gender on consumers positive word-of-mouth willingness in social networks by conducting two different studies. In study 1, participants completed a questionnaire including the items of self-construal and word-of-mouth willingness. The results indicate that females prefer to generate more word-of-mouth in social networks than males. In addition, the level of self-construal fully mediates the relationship between gender and word-of-mouth willingness. The results of study 2 show that the role of scarcity as a moderator can affect the relationship between gender and word-of-mouth willingness. It moderates the relationship in such a way that when the offering is in a high level of scarcity (comparing to a low level), the gender differences of word-of-mouth would increase. Results also show that self-construal is a moderated mediator that as the offerings scarcity increased, the mediating effect of self-construal between gender and word-of-mouth willingness would be decreased.
Keywords: gender; self-construal; social network; word-of-mouth generation; scarcity.
Research on Quality of Banking Services Based on QFD and SERVQUAL Model
by Gao Chen, Zhou Yuqing
Abstract: The banking business continues to expand, and as a result, the quality of banking services put forward higher requirements. How to retain customers and how to improve marketing competitiveness became the biggest challenges for banks. Based on this analysis need, the Quality Function Deployment (QFD) and SERVQUAL model were introduced in order to enhance banks customers satisfaction. Firstly, the SERVQUAL model identifies customers needs from the customer satisfaction perspective, and the weights of customer needs then identified through the Analytic Hierarchy Process (AHP). The QFD method analyzed the relationship between customer demand and quality of service features to determine the bank's current key service features. Through effective usage of the data gathered, the analysis determines suggestions and recommendations for quality banking services improvements.
Keywords: Quality of banking services; SERVQUAL model; QFD; AHP.
An Efficient Two Stage Encryption for Securing Personal Health Records in Cloud Computing
by KrishnaKeerthi Chennam, Lakshmi Muddana
Abstract: A personal health record or PHR is a wellbeing record where wellbeing information and data identified with the care of a patient is kept up by the patient. When these records are stored in the cloud the probability of unauthorized access gets increased due to poor encryption. Further dangers of security presentation, adaptability in key administration, adaptable access and proficient client authority cancelling remained the most vital difficulties toward accomplishing fine-grained, cryptographically upheld information accessing power in the existing methods. To overcome these drawbacks and to achieve the authorized access of patients data we move on to the proposed method. Here at first, the framework is separated into two security domains such as public and personal domains (PUD and PSD) as indicated by the distinctive clients' information accessing necessities. In both domain sorts of security areas, we use vigenere encryption and two fish based encryption to acknowledge cryptographically implemented, owner driven PHR access. In PUD, the number of users is grouped with the help of hierarchical agglomerative clustering algorithm. After clustering, each group gets the secret key and then encrypts the health record and stored in the cloud. The performance of the proposed method is evaluated in terms of clustering accuracy, encryption and decryption time and memory. The experimental result shows that our proposed method has 76.05% of clustering accuracy. Our proposed method also has less encryption and decryption time when compared to the existing technique. The proposed method is implemented in JAVA with Cloud Sim.
Keywords: Patient Health Record (PHR); Personal Domain (PSD); Public Domain (PUD); Vigenere Encryption; Two Fish Encryption and Hierarchical Agglomerative Clustering Algorithm.
A systematical forecasting method for container throughput of correlated ports: a case study of Shenzhen port and Hong Kong port
by Lulu Zou
Abstract: Current studies on container throughput forecasting are mainly focused on independent forecasts of individual ports, with very limited regard for the interaction between ports. This paradigm neglects the deep underlying correlation between the ports and thus may lead to large errors of the prediction. To overcome the weaknesses, this paper proposes a new container throughput forecasting method to systematically forecast the correlated ports. A systematical forecasting model is established based on the correlation between the ports identified by the Granger causal test and estimated using the method newly proposed in this paper. For verification purposes, multiple forecasting models, including the newly proposed systematical forecasting model and the independently forecasting models, are constructed and compared in terms of the forecasting performance based on the monthly container throughput data of Shenzhen Port and Hong Kong Port, the empirical results show that the new model is superior to its rivals in terms of absolute prediction accuracy and direction accuracy.
Keywords: container throughput forecast; correlated ports; Granger causal test; ANN.