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Open Access Article
1 - The effect of online social networks on home business innovation performance: The mediating role of innovation capacity
Morteza Akbari peyman dolatshah mojgan daneshNowadays, activity in online social networks has become inclusive, and these new tools have a high potential for the acquisition of business information and the needs of customers through collective intelligence; the use of this information can stimulate the creation of MoreNowadays, activity in online social networks has become inclusive, and these new tools have a high potential for the acquisition of business information and the needs of customers through collective intelligence; the use of this information can stimulate the creation of innovative products and processes in business. Also, the existence of high innovation capacity in business can facilitate the process of improving innovation performance. Therefore, in this research we have tried to examine the effect of using online social networks on improving the innovation performance of home business in Isfahan province and It will be clear how the innovation capacity of these businesses will affect this relationship. This study was conducted on 220 home-based businesses in Isfahan, and with available sampling were selected. uses a questionnaire for collecting data. The present research is an applied and descriptive analytical-survey method in terms of its purpose. For analyze the data structural equation modeling were used. The results showed that higher levels of online social networks could increase the likelihood of improving innovation performance. Also, innovation capacity can be a stimulus to use of online social networks and thus improve the innovation performance in the home business. Manuscript profile -
Open Access Article
2 - Routing improvement to control congestion in software defined networks by using distributed controllers
saied bakhtiyari Ardeshir AzarnejadSoftware defined networks (SDNs) are flexible for use in determining network traffic routing because they separate data plane and control plane. One of the major challenges facing SDNs is choosing the right locations to place and distribute controllers; in such a way th MoreSoftware defined networks (SDNs) are flexible for use in determining network traffic routing because they separate data plane and control plane. One of the major challenges facing SDNs is choosing the right locations to place and distribute controllers; in such a way that the delay between controllers and switches in wide area networks can be reduced. In this regard, most of the proposed methods have focused on reducing latency. But latency is just one factor in network efficiency and overall cost reduction between controllers and related switches. This article examines more factors to reduce the cost between controllers and switches, such as communication link traffic. In this regard, a cluster-based algorithm is provided for network segmentation. Using this algorithm, it can be ensured that each part of the network can reduce the maximum cost (including delays and traffic on links) between the controller and its related switches. In this paper, using Topology Zoo, extensive simulations have been performed under real network topologies. The results of the simulations show that when the probability of congestion in the network increases, the proposed algorithm has been able to control the congestion in the network by identifying the bottleneck links in the communication paths of each node with other nodes. Therefore, considering the two criteria of delay and the degree of busyness of the links, the process of placing and distributing the controllers in the clustering operation has been done with higher accuracy. By doing so, the maximum end-to-end cost between each controller and its related switches, in the topologies Chinanet of China, Uunet of the United States, DFN of Germany, and Rediris of Spain, is decreased 41.2694%, 29.2853%, 21.3805% and 46.2829% respectively. Manuscript profile -
Open Access Article
3 - Toward Energy-Aware Traffic Engineering in Intra-Domain IP Networks Using Heuristic and Meta-Heuristics Approaches
Muharram MansoorizadehBecause of various ecological, environmental, and economic issues, energy efficient networking has been a subject of interest in recent years. In a typical backbone network, all the routers and their ports are always active and consume energy. Average link utilization i MoreBecause of various ecological, environmental, and economic issues, energy efficient networking has been a subject of interest in recent years. In a typical backbone network, all the routers and their ports are always active and consume energy. Average link utilization in internet service providers is about 30-40%. Energy-aware traffic engineering aims to change routing algorithms so that low utilized links would be deactivated and their load would be distributed over other routes. As a consequence, by turning off these links and their respective devices and ports, network energy consumption is significantly decreased. In this paper, we propose four algorithms for energy-aware traffic engineering in intra-domain networks. Sequential Link Elimination (SLE) removes links based on their role in maximum network utilization. As a heuristic method, Extended Minimum Spanning Tree (EMST) uses minimum spanning trees to eliminate redundant links and nodes. Energy-aware DAMOTE (EAD) is another heuristic method that turns off links with low utilization. The fourth approach is based on genetic algorithms that randomly search for feasible network architectures in a potentially huge solution space. Evaluation results on Abilene network with real traffic matrix indicate that about 35% saving can be obtained by turning off underutilized links and routers on off-peak hours with respect to QoS. Furthermore, experiments with GA confirm that a subset of links and core nodes with respect to QoS can be switched off when traffic is in its off-peak periods, and hence energy can be saved up to 37%. Manuscript profile -
Open Access Article
4 - A Novel Approach for Cluster Self-Optimization Using Big Data Analytics
Abbas Mirzaei Amir RahimiOne of the current challenges in providing high bitrate services in next generation mobile networks is limitation of available resources. The goal of proposing a self-optimization model is to maximize the network efficiency and increase the quality of services provided MoreOne of the current challenges in providing high bitrate services in next generation mobile networks is limitation of available resources. The goal of proposing a self-optimization model is to maximize the network efficiency and increase the quality of services provided to femto-cell users, considering the limited resources in radio access networks. The basis for our proposed scheme is to introduce a self-optimization model based on neighbouring relations. Using this model, we can create the possibility of controlling resources and neighbouring parameters without the need of human manipulation and only based on the network’s intelligence. To increase the model efficiency, we applied the big data technique for analyzing data and increasing the accuracy of the decision-making process in a way that on the uplink, the sent data by users is to be analyzed in self-optimization engine. The experimental results show that despite the tremendous volume of the analyzed data – which is hundreds of times bigger than usual methods – it is possible to improve the KPIs, such as throughput, up to 30 percent by optimal resource allocation and reducing the signaling load. Also, the presence of feature extraction and parameter selection modules will reduce the response time of the self-optimization model up to 25 percent when the number of parameters is too high Moreover, numerical results indicate the superiority of using support vector machine (SVM) learning algorithm. It improves the accuracy level of decision making based on the rule-based expert system. Finally, uplink quality improvement and 15-percent increment of the coverage area under satisfied SINR conditions can be considered as outcome of the proposed scheme. Manuscript profile -
Open Access Article
5 - Open Innovation; A Comprehensive View on Concepts, Approaches, Trends and Key Success Factors
Mostafa Safdari Ranjbar Manochehr Manteghi Gholamreza TavakoliIn the past, the development and commercialization of an innovation process used to depend on intra-organizational think-tank and efforts. Today, however, Open Innovation paradigm calls companies to also tap into outside ideas and technologies and yet mutually allow oth MoreIn the past, the development and commercialization of an innovation process used to depend on intra-organizational think-tank and efforts. Today, however, Open Innovation paradigm calls companies to also tap into outside ideas and technologies and yet mutually allow other companies to exploit their innovative ideas. Open Innovation is a hot topic which has outstandingly drawn researchers' and managers' attention from various perspectives in the past few years. Therefore, reviewing on a case study basis, the topic's entire literature that comprises 70 papers, the current research paper aims to cover its concepts, approaches, major trends, and key success factors. To point to a few findings of the research, the paper dramatizes new and emerging perspectives and trends in the realm of Open Innovation, successes like external networking, innovation brokers, technology intelligence, absorption capacity, open business model, and human factors such as culture and motivation. The paper concludes that managers of companies and organizations should exploit Open Innovation as a solution to confront fast changing technological trends, short technology life cycles, high internal R&D costs, and sever global competition. Manuscript profile -
Open Access Article
6 - The Role of Open Innovation in Gaining Technology Intelligence
Kamran Feyzi Seyed kamal Tabatabaeiyan Hosein KhosropourHigh speed changes and evolutions in technological environment are among the important subjects in business which has made the ability to plan and decide in this area impossible without a proper perception of the present and future situation of technology. Therefore, de MoreHigh speed changes and evolutions in technological environment are among the important subjects in business which has made the ability to plan and decide in this area impossible without a proper perception of the present and future situation of technology. Therefore, determination, creation and development of the industrial and research co-workers network using the open innovation and employing the technology intelligence in order to observe the technological evolutions for technology-based organizations and also the technology and science progress that has a direct effect on the business area of these organizations are very important. On the other hand, since the increasing growth of the internet in increasing the input resources for technology intelligence has a key effect, the appropriate employment and use of information technology tools for accessing and analyzing these inputs has also been changed into a key point in technology intelligence creation. Thus, the organization`s strategy in determination and acquisition of the appropriate process of technology intelligence has become very important so that organization requires to merger the innovation and idea from out of the organization with main advantages from inside the organization. As a result, establishing a systematic framework, the organizations, creating a connection between the technology intelligence and open innovation, can help their purpose and increase the technology intelligence value. In other words, technology intelligence as an open innovation approach tool creates a relation between knowledge and idea from out of the organization and main advantages from inside the organization results in creating a competitive advantage for the organization. Manuscript profile -
Open Access Article
7 - The Role of CrowdFunding to Financing Capital for Startups Entrepreneur
Sajad Asakere Saeed Zarandi Mohsen AfsharpourFinancing capital for startups, always had been propounded as one of the challenges for entrepreneurs. On the other hand, the risk of venture capital investment, financial institutions and banks often seem less willing to invest in this activity. By developing Internet MoreFinancing capital for startups, always had been propounded as one of the challenges for entrepreneurs. On the other hand, the risk of venture capital investment, financial institutions and banks often seem less willing to invest in this activity. By developing Internet and social networks, limitation in communications have been removed and new concepts such as networking and utilization of crowdfunding has been raised. This paper introduces a new method of collective investment fund over the Internet to exploit social capital rather than bank loans, business angels and venture capital. Due to the lack of scientific research in this field, by using inductive method we discuss about the crowdfunding phenomenon concept, development of literature in this field, goals and motivations of the participants, expressing the models, potential, obstacles and limitations of the crowdfunfing. The results indicate that the rate of this concept in the world especially in developing countries has been increasing and this model can be operated by providing cultural, technological, legal and social contexts. Manuscript profile -
Open Access Article
8 - Presenting a new framework of viral marketing in online business: qualitative analysis via projection techniques
Elham Fazeli veisari Mohammad Javad Taghipouryan Reza TavoliAbstract: Viral marketing is a marketing policy that motivates people to tell your marketing message to others. The advantage of viral marketing is that marketers can create customers at costs almost equivalent to zero, and move from the marketing-consumer-to-consumer-t MoreAbstract: Viral marketing is a marketing policy that motivates people to tell your marketing message to others. The advantage of viral marketing is that marketers can create customers at costs almost equivalent to zero, and move from the marketing-consumer-to-consumer-to-consumer mode, accordingly, a new economy has emerged as businesses use information technology. The purpose of the present study is to conceptualize the components of viral marketing in online business. For this purpose of word association, sentence completion and dream exercises Used as projection techniques in an in-depth semi-structured interview with 15 people in the three generations (X, Y and Z) through content analysis and with the help of MaxQDA software, 76 open source, 21 core and 6 new viral components have been identified in the field of viral marketing such as online services, online attractiveness, online risk taking, online persuasion, online trust and online support. The results can help online business owners develop low-cost activities Manuscript profile -
Open Access Article
9 - A New BGP-based Load Distribution Approach in Geographically Distributed Data Centers
A. Esmaeili B. BakhshiToday, hosting services in geographically distributed data centers is very common among service provider companies, because of more efficiency of energy consumption, high availability of the system, and providing quality of service. Load distribution is the main issue i MoreToday, hosting services in geographically distributed data centers is very common among service provider companies, because of more efficiency of energy consumption, high availability of the system, and providing quality of service. Load distribution is the main issue in the geographical data centers. On the one hand, there are several architectures to distribute load between different clusters, e.g., central load balancer, DNS-based systems, and IGP based schemes; one the other hand, the optimum traffic load balancing between clusters is a very challengeable issue. The proposed solutions have different facilities to distribute incoming traffic; nevertheless, they are vulnerable in terms of propagation delay, centralized load balancer failure, and maintaining connections. In this paper, a new architecture based on BGP and Anycast routing protocols in SDN based data centers is proposed to distribute traffic loads between clusters. Simulation result shows improvement in comparison to the existing techniques. Manuscript profile -
Open Access Article
10 - A Prediction-Based Load Distribution Approach for Software-Defined Networks
Hossein Mohammadi سیداکبر مصطفویSoftware-defined networking is a new network architecture which separates the control layer from the data layer. In this approach, the responsibility of the control layer is delegated to the controller software to dynamically determine the behavior of the entire network MoreSoftware-defined networking is a new network architecture which separates the control layer from the data layer. In this approach, the responsibility of the control layer is delegated to the controller software to dynamically determine the behavior of the entire network. It results in a flexible network with centralized management in which network parameters can be well controlled. Due to the increasing number of users, the emergence of new technologies, the explosive growth of network traffic, meeting the requirements of quality of service and preventing underload or overload of resources, load balancing in software-based networks is of substantial importance. Load imbalance increases costs, reduces scalability, flexibility, efficiency, and delay in network service. So far, a number of solutions have been proposed to improve the performance and load balancing in the network, which take into account different criteria such as power consumption and server response time, but most of them do not prevent the system from entering the load imbalance mode and the risks of load imbalance. In this paper, a predictive load balancing method is proposed to prevent the system from entering the load imbalance mode using the Extreme Learning Machine (ELM) algorithm. The evaluation results of the proposed method show that in terms of controller processing delay, load balance and response time, it performs better than CDAA and PSOAP methods. Manuscript profile -
Open Access Article
11 - Open Innovation Development Policy: Requirements for Iran
atefeh zolfaghari Morteza Akbari Shokooh Sadat AlizadehIn the open innovation system, in addition to ideas within the organization, organizations can also benefit from ideas outside the organization. In this way, the boundaries between organizations and their external environments become more permeable, and if appropriate p MoreIn the open innovation system, in addition to ideas within the organization, organizations can also benefit from ideas outside the organization. In this way, the boundaries between organizations and their external environments become more permeable, and if appropriate policies are developed for the development of open innovation, it will be possible to take advantage of the facilities of other organizations in an appropriate way. This research have been reviewed texts and articles and researches related to open innovation and policy issues in open innovation. Requirements for open innovation policy in Iran regarding open innovation policy in the field of research and technology development, open innovation policy In the field of networking and interactions of open innovation ecosystem, open innovation policy in the field of entrepreneurship, open innovation policy in the field of science, open innovation policy in co-creation in universities, open innovation policy in the field of labor market, Competitive Open Innovation Policy-Making Provides International Open Innovation Policy-Making. Manuscript profile -
Open Access Article
12 - A Systematic Overview of Entrepreneurial Marketing: An Analysis of Components and Deterrents in Online Business Using the Hybrid Technique
mahdi kasegarha Mohammad javad Taghi porian Javad Gilanipor Mehran MokhtariThe interaction of marketing and entrepreneurship has occupied an important part of marketing research in the last decade. Marketing has a lot to offer entrepreneurs. Entrepreneurial marketing is a concept that has emerged from the level of sharing of two areas of marke MoreThe interaction of marketing and entrepreneurship has occupied an important part of marketing research in the last decade. Marketing has a lot to offer entrepreneurs. Entrepreneurial marketing is a concept that has emerged from the level of sharing of two areas of marketing and entrepreneurship. Entrepreneurial marketing in the field of online business is always growing and its fields are expanding day by day. Entrepreneurial marketing requires a valid and reliable scale to measure the underlying dimensions and factors in any type of business environment, which requires that it be done in a principled manner and in accordance with scientific methods. Therefore, by understanding this issue, by conducting this research, we are seeking to identify the components and inhibiting factors with the help of hybridization method. The considered articles and researches were considered from among the studied articles and books, using the CASP method, and the main indicators were extracted through the document analysis method and using the MaxQD software. Necessary aggregation and clustering were done, then they were organized in the form of concepts and components. The results showed that the factors inhibiting entrepreneurial marketing include two main components of internal factors (environmental disturbance, government problems, limited market share, lack of customer commitment, technological change, and market problems) and external factors (management challenges, human barriers, lack of resources, and limitations) are classified. Manuscript profile
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