Forthcoming articles

 


International Journal of Services Operations and Informatics

 

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International Journal of Services Operations and Informatics (21 papers in press)

 

Regular Issues

 

  • Research on Decision Making and Coordination Model of Fresh Food Supply Chain with Price and Quality   Order a copy of this article
    by Qianwen Liu, Shun Zhang, Chen Zhao 
    Abstract: With the increasing concern on the quality of fresh food, the competition among enterprises extends from the simple price competition of fresh food to the price and quality. The effectiveness and feasibility of a two-level supply chain is analyzed in the centralized decision making model, the decentralized decision making model and the coordinated decision making model are analyzed respectively, which is taking into account price coefficient and quality influence coefficient. Through the numerical analysis, the retailers, manufacturers and the change of the supply chain of each decision variable are studied. The results show that the sales price and fresh food quality are related to the introduction of variables under three different decisions. After the revenue sharing and the cost sharing contract are coordinated, the manufacturers profit is positive when the revenue sharing coefficient and the cost commitment system are reasonable. Outside the reasonable scope, the retailer is supposed to compensate the manufacturer a fixed fee, and the supply chain overall benefits are greater than the decentralized decision-making benefits.
    Keywords: Price and quality competition; Supply chain decision-making and coordination; Revenue sharing cost sharing contract.

  • An Efficiency Measurement Research on Innovation Network Synergy Evolution of High Technology Enterprises   Order a copy of this article
    by Zhenyuan Liu, Shuhua Hu, Renyan Mu, Xindong Yu, Lijun Wang, Jialong Xie 
    Abstract: The cluster development of high technology enterprises become a crucial support of the High-tech zone to enhance competitiveness. This paper develops its arguments from innovation networks of high technology enterprises, focuses on the efficiency measurement of innovation network synergy evolution and builds a "3D" measurement system, the space-time differentiation dimension, the hierarchy system dimension, the synergy efficiency dimension, selects 7 secondary indicators and 21 tertiary indicators. Then, using the method of fuzzy comprehensive evaluation, this paper measures the synergy evolution efficiency of high technology enterprises of Wuhan East Lake High-tech zone. Finally, it verifies that there are differences in evolution efficiency of space-time differentiation dimension, hierarchy system dimension and synergy efficiency dimension when the national high-tech zone is in different life cycle stages.
    Keywords: Innovation network of high technology enterprises; Synergy evolution; Efficiency measurement; National high-tech zone.

  • Performance and Cost Analysis of a Finite Capacity Queue with Two Heterogeneous Servers under F-policy   Order a copy of this article
    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   Order a copy of this article
    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   Order a copy of this article
    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   Order a copy of this article
    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   Order a copy of this article
    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.

  • Logistics Resource Optimized Allocation Based on Object Identifier-Unified Degree   Order a copy of this article
    by Huiqi Zhu, Mingli Yu 
    Abstract: With the unification of object identifiers gradually, communication between enterprises becomes more and more smooth, which is helpful to reduce logistics costs, improve logistics services and promote logistics resources utilization. Although scholars have studied logistics resource allocation, the role of object identifiers that have been unified is still paid no attention. Based on the above situation, object identifier-unified degree (OIUD) is proposed in this paper, which is used to describe unified level of object identifiers. To analyze how logistics resource optimized allocation process is influenced by OIUD, an optimization model is formed, allowing for its multi-objectives and multi-constraints characteristics. The model selects total logistics cost, total service time and logistics resources utilization as its objective functions, while OIUD is as its influence parameter. Genetic algorithm based on technique for order performance by similarity to ideal solution (TOPSIS) is adopted to solve the model. In the end, an instance of WDQ company is employed to verify the effectiveness and practicability of the model. The results indicate that the established model can provide a better logistics resource allocation program. Furthermore, the higher level of OIUD, the more optimized logistics resource allocation.
    Keywords: object identifier-unified degree; logistics resource optimized allocation; genetic algorithm.

  • Mining Usage Profile to Improve Web Performance Testing   Order a copy of this article
    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.

  • Big Production Enterprise Supply Chain Endogenous Risk Management Based on Blockchain   Order a copy of this article
    by Yong-gui Fu, Jian-ming Zhu 
    Abstract: In view of the influence of informations incompleteness and asymmetry to supply chain operation efficiency, making big production enterprise as the object, and applying blockchain to its supply chain endogenous risk management, to research the specific operation mechanism and application value. In the operation process of big production enterprise supply chain, because of the informations asymmetry, the fraud problem will produce among the business subjects, blockchain is a decentration distributed accounting and data storage technology, with blockchain technology we can resolve the business subjects fraud problem, can provide more accurate decision information basis for each business section, and realize group decision. The paper has descripted the system structure and intelligent contract operation mechanism under consensus authentication of blockchain applying in big production enterprise supply chain, and analyzed by the case. In view of the limitation of classical blockchain technology applying in big production enterprise supply chain, we constructed the corresponding blockchain data storage mechanism and data access mechanism. Analyzed the economics value of this paper research from the aspects of response speed, supply accuracy, cooperation integrity, business interaction economic cost, supply quality, supply price, etc. The paper research will provide ideas and model structure for developing supply chain areas blockchain system, and promote the application research development of blockchain in specific area.
    Keywords: Big Production Enterprise; Supply Chain; Endogenous Risk; Blockchain.

  • The Effects of Market Competition Structure on the Knowledge-Sharing Intentions of Enterprises with Knowledge Demand   Order a copy of this article
    by Houxing Tang 
    Abstract: From the knowledge-based resource perspective, and for enterprises with knowledge demand, strategic value exists in improving knowledge-sharing intentions and obtaining sufficient new knowledge. Thus, it is critical not only to discover the factors affecting knowledge-sharing intentions, but also to understand their effect mechanisms. This paper proposes a new factorthe structure of market competitionwhich includes three indicators: the initial market demand, market share, and added market demand. Further, the profit of knowledge-sharing can be considered a proxy for knowledge-sharing intention. An optimisation function is then constructed based on these indicators to analyse the effects, in which the profit of knowledge-sharing is the dependent variable and the three indicators are independent variables. The results indicate that, first, an inverted U-shaped relationship exists between the knowledge-sharing intentions of enterprises with knowledge demand and initial market demand. Second, a positive correlation exists between the enterprises intention and market share. Third, a negative correlation exists between the enterprises intention and added market demand.
    Keywords: knowledge sharing; intention; market competition structure; enterprise; knowledge demand.

  • An Application of Data Envelopment Analysis in Railway Industry:A case study of Pakistan Railways   Order a copy of this article
    by Khalid Mehmood Alam 
    Abstract: It is important to examine the performance of organizations to look at the efficiency levels in utilizing their inputs to produce outputs. The main purpose of this paper is to evaluate the efficiency of each year called decision-making unit (DMU) of Pakistan Railways for the period 1950-2016. Input-oriented Data Envelopment Analysis (DEA) model under constant returns to scale (CRS) is employed to calculate the efficiency scores whereas the super efficiency model is used to rank the efficient DMUs. This paper uses five inputs and two outputs in order to analyze the efficiency scores. According to the findings, five out of twenty-nine DMUs have a score of 1 and are considered as efficient. The results further suggest that DMU Y1 has minimum efficiency score of 0.63 whereas DMU Y6 has maximum efficiency score of 1.11. These findings suggest that how inefficient DMUs can alter their input and outputs to improve inefficiencies.
    Keywords: Efficiency; Data Envelopment Analysis; Pakistan Railways.

  • Capacity expansion decisions into asymmetric cost behavior: reviews and search for new determinants   Order a copy of this article
    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.

  • Analysis on the Sharing Economy Based on Business Model Canvas: A Comparative Study of Multiple Cases   Order a copy of this article
    by Yanli Guo, Jie Geng, Jianbin Chen 
    Abstract: the purpose of this paper is a multi-case study of the sharing economy based on the business model canvas. The primary objective is to clarifying the theoretical connotation and pattern classification of sharing economy and to provide entrepreneurs with several guides about the elements and its characteristics of a sharing economic business model allowing them to build a new business model based on the sharing economy. Firstly, the time axis of sharing economy theory and practice development is proposed through researching on the literatures and practice of some enterprises; Secondly, this paper analyzes the different types and its characteristics of sharing economy models with business model canvas through comparative study of multiple cases. And then, provides the summative analysis on the key elements and its characteristics of business model based on the sharing economy which is different with the traditional business model. The conclusion is that there are three types of sharing economic model: the product or service sharing, collaborative lifestyles, collaborative production and to build a sharing economic business model, the nine factors of business model is very important and should be different with the traditional business model, such as the idle resources development, value propositions and customer relationship etc.
    Keywords: Sharing Economy; Business Model; Business Model Canvas; Collaborative Consumption; Collaborative Production; Cases Study.

  • A Research on Friend Recommendation Based on Dynamic Trust Relations in SNS   Order a copy of this article
    by Yun Xue 
    Abstract: Aiming at getting useful information more efficiently in social network system (SNS), a discovered algorithm based on users dynamic trust relations in SNS was proposed. The proposed dynamic model combines users interest and trust relations to explore the users good friends for recommendation. Firstly, the network based on users interest and trust relations was set up. Secondly, the temporal factor was added to the model, then a dynamic model of users interest degree and trust relations was calculated. Lastly, the similarities among users were measured by this dynamic model, and the recommendation list of good friends was achieved. The experimental results shows that the proposed algorithm effectively described the changes of users interest similarity and trust relations with time, and the recommended result was more accurate and effective than the traditional ones.
    Keywords: social networking service (SNS); trust relations; friend recommendation; trust computing.

  • Research on User Generated Content Behaviors in Social Shopping Community based on Swift Guanxi perspective   Order a copy of this article
    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   Order a copy of this article
    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   Order a copy of this article
    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   Order a copy of this article
    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.

  • Service Innovation Decision Analysis Based on Influence Diagram   Order a copy of this article
    by Liang Tan 
    Abstract: Influence diagram is a probabilistic model for constructing decision problems by directed graph. In this paper, the dynamic influence diagram and the interactive dynamic influence diagram are used to model the three parties of service innovation: customer, supplier and service enterprise, and analyze the decision of different subjects in service innovation. The model model the process of service innovation, in which the service enterprises should consider the innovation condition of themselves and other subjects with the customers and suppliers. Meanwhile, in the process of service innovation, the service enterprises should constantly communicate with the customers and suppliers. After the customer and the supplier react, the service enterprises should modify the innovation decision-making, and improve service innovation quality and income.
    Keywords: influence diagram; service innovation; decision-making.

  • The Corporate Inventory model under Continuous Demand: A Simulation-based Analysis   Order a copy of this article
    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.