Journal articles: 'Computer and telecommunication industry'

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Grover, Varun, and Khawaja Saeed. "The telecommunication industry revisited." Communications of the ACM 46, no. 7 (July 2003): 119–25. http://dx.doi.org/10.1145/792704.792709.

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Joyce, Kirabo, Mike A Iravo, and Gregory Namusonge. "Strategic Planning and Performance of Telecommunication Companies in Rwanda." International Journal of Scientific Research and Management 10, no. 02 (February 3, 2022): 3013–23. http://dx.doi.org/10.18535/ijsrm/v10i2.em01.

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This research sought to examine the strategic planning practice as tool for performance in the telecommunication companies. Strategic planning for that reason offers a much-needed basis on which telecommunication companies can grow and evaluate its success against failures and establish boundaries for efficient decision-making. The research further assessed the level of influence of legal and regulatory framework as a moderating factor on the performance of Telecommunication industry in Rwanda. This study utilized both qualitative and quantitative data as well as applied a descriptive survey design. The study population included the 42 Top and middle level, managers of mobile phone operator companies in Rwanda which comprised of MTN and Airtel company Headquarter and different branches within Kigali City. The data collection instruments were pre-tested using the Cronbach’s alpha and factor analysis of dimensions reductions to determine the validity and reliability of the tests. The data collected was analyzed and presented using tables, by help of the SPSS statistical Package for Social Science. The results on, reliability test, descriptive statistics, demographic information of respondents, correlation analysis, normality test, heteroskedasticity test, factor analysis and regression results were established on all the variables of strategic planning, plus the intervening variable of the legal and regulatory framework. Notably, the correlation results revealed that Strategic Planning had a positive and significant. The results revealed that Strategic Planning has a positive and significant moderate relationship with Performance of Telecommunication industry. The results on linearity test for strategic planning and performance of the telecommunication industry since the level of linear association was found to be 0.953 which was also positive and statistically significant. Similarly, the null hypothesis Strategic Planning and performance of the telecommunications industry were subjected to the hypothesis to determine whether to accept or reject the null hypothesis and the results showed a positive and significant association between Strategic Planning and Performance of Telecommunication industry (β = 0.953, ρ< .05). Therefore, the hypothesis was rejected. Thus, as the Performance of Telecommunication industry increased, the strategic planning too increased. It can therefore be concluded that, the companies benefited tremendously when the strategic planning was taken into account for the efficient performance of the telecommunication industry in Rwanda.

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Suraj, Olunifesi Adekunle. "Managing Telecommunications for Development: An Analysis of Intellectual Capital in Nigerian Telecommunication Industry." Journal of Information & Knowledge Management 15, no. 01 (March 2016): 1650010. http://dx.doi.org/10.1142/s0219649216500106.

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The study examines the role of intellectual capital (IC) management in explaining the mismatch between performances of the Nigerian telecommunications industry’s annual growth rate (16.3%) and that of the nation’s economic average growth rate (4.3%) over the last two decades (1986–2010). Through a previously published research instrument, data were collected from 320 managers from 29 telecommunication companies using stratified random sampling technique. The major findings of the study as highlighted by the regression analysis (Partial Least Square techniques) of the data, revealed that the sampled telecommunication companies lack the organisational know-how and communication aptitude to leverage their embedded organisational knowledge (Structural capital) into business performance ([Formula: see text], [Formula: see text]) notwithstanding their knowledge creation and retention strategies. Hence, Knowledge utilisation rather than knowledge creation appears the main challenge of the industry which has made it perform below expectation despite the industry’s tremendous infrastructural investment. The study thereby recommends that policy makers and telecommunication managers should begin to analyse the economic impact and contribution of IC in the sector as a means of boosting the sector’s corporate business performance in the overall aim of accelerating the nation’s economic development. Moreover, as a way of addressing this obvious managerial inadequacy, the study recommends the position of Chief Knowledge Officer to be saddled with responsibility of effectively leveraging knowledge generated in the industry for optimum organisational performance and national development.

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Anawar, Syarulnaziah, Nur Fadzilah Othman, Siti Rahayu Selamat, Zakiah Ayop, Norharyati Harum, and Fiza Abdul Rahim. "Security and Privacy Challenges of Big Data Adoption: A Qualitative Study in Telecommunication Industry." International Journal of Interactive Mobile Technologies (iJIM) 16, no. 19 (October 19, 2022): 81–97. http://dx.doi.org/10.3991/ijim.v16i19.32093.

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The telecommunication industry is the leading industry in big data trends as this industry has the most capable infrastructure for big data. However, the adoption of big data in telecommunication services also raises important security and privacy challenges due to the high volume, velocity, and variety of big data characteristics. To address the issue, this study shed light on the security and privacy challenges of big data adoption in the telecommunication industry. This study focuses on investigating the security and privacy challenges for data users in telecommunication services from the lens of the TOE framework and examines the mitigation strategies to address the privacy and security challenges. This study is conducted using qualitative methodology. From the perspectives of data users (telecommunication providers), it could be concluded that data management, data privacy, data compliance, and regulatory orchestration challenges are the most pressing concerns in big data adoption. This study offers contributions in presenting a thematic classification of security and privacy challenges and their mitigation strategies for big data adoption in the telecommunication industry. The thematic classification highlights potential gaps for future research in the big data security domain. This study is significant in that it provides empirical evidence for the perspectives of telecommunication data users in addressing privacy and security issues that are related to big data adoption.

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Dahal, Rewan Kumar. "Performance Score as a Measure of Organizational Effectiveness." Pravaha 27, no. 1 (December 31, 2021): 131–38. http://dx.doi.org/10.3126/pravaha.v27i1.50628.

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Organizational effectiveness is primarily about assessing an organization's performance using several criteria. This study aims to determine Nepalese telecommunications companies' organizational effectiveness using a performance score based on the most crucial non-financial performance metrics (namely, context, focus, integration, and interactivity). The quantitative research strategy was utilized to extract the information from the designated working delegates of the Nepalese telecommunication industry. The study employed a probability sampling technique, and the quantitative data were obtained using an organized questionnaire survey to compute the performance scores of the sample organizations and the industry as a whole. The findings revealed that Nepal Telecom's score was 58.40 (systematic) and Ncell's score was 69.54 (transforming), averaging the industry score was 61.43. Such scores represent the extent to which the Nepalese telecommunication industry has applied non-financial performance measures to enhance organizational performance knowledge.

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Song, Hyung Suk. "A Study on the Promotion of Information & Telecommunication Industry in Korea." Korean Journal of Policy Studies 11 (December 31, 1996): 175–89. http://dx.doi.org/10.52372/kjps11010.

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Today, the world market environment for information & telecommunication industry is rapidly changing. The market in Korea is also facing changes including the opening of the market to foreign competitors, establishment of competition system and changing demand structures and the introduction of multi-media. The new wave of information which results from the combination of computer and telecommunication has brought enormous changes throughout the society. As the changes of social system in the history have ranged from hunting to agricultural, and to finally industrial society, the society in the upcoming 21st century will be defined as the society of information based on communication technology. The changes in question in the environment of the communication industry offer both the difficulties and new opportunities for those working in the industry who have performed the activities in a traditionally closed and dependent environment under the protection, direct and indirect, of the government.

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Al-Alwan, Mohammad Amhamoud Mked, Salameh S. Al-Nawafah, Hussam Mohd Al-Shorman, Feda A. Khrisat, Farah faisal Alathamneh, and Sulieman Ibraheem Shelash Al-Hawary. "The effect of big data on decision quality: Evidence from telecommunication industry." International Journal of Data and Network Science 6, no. 3 (2022): 693——702. http://dx.doi.org/10.5267/j.ijdns.2022.4.003.

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The aim of the research is to test the impact of big data on the quality of decision making. The necessary data was collected from telecommunication companies operating in Jordan. Three companies provide telecommunications services in Jordan: Zain, Umniah, and Orange. Non-probability purposive sampling was used. Hence, the study instrument was distributed to managers at the senior and middle levels of these companies. The structured equation modeling (SEM) technique was employed to test the study hypotheses. The results confirmed that big data impacts decision quality. Besides, it was determined that the highest impact was on velocity. The researchers suggest that Jordanian telecom companies invest in information technology that allows them to provide data with accuracy, reliability, and high quality, as well as improve the qualifications of their employees.

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Anandalingam, G., and H. C. Lucas. "The winner's curse in high tech [telecommunication industry." Computer 38, no. 3 (March 2005): 96–97. http://dx.doi.org/10.1109/mc.2005.108.

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Shi, Congming, Wen Wang, Shoulin Wei, and Feiya Lv. "System for Recommending Telecommunication Packages Based on the Deep and Cross Network." Wireless Communications and Mobile Computing 2022 (April 19, 2022): 1–11. http://dx.doi.org/10.1155/2022/2100841.

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With the evolution of the 5th generation mobile network (5G), the telecommunications industry has considerably affected livelihoods and resulted in the development of national economies worldwide. To increase revenue per customer and secure long-term contracts with users, telecommunications firms and enterprises have launched diverse types of telecommunication packages to satisfy varied user requirements. Several systems for recommending telecommunication packages have been recently proposed. However, extracting effective feature information from large and complex consumption data remains challenging. Conventional methods for the recommendation of telecommunications packages either rely on complex expert feature engineering or fail to perform end-to-end deep learning (DL) during training. In this study, we propose a recommender system based on the Deep and Cross Network (DCN), deep belief network (DBN), embedding, and Word2Vec using the learning abilities of DL-based approaches. The proposed system fits the recommender system for telecommunication packages in terms of click-through rate prediction to provide a potential solution to the recommendation challenges faced by telecommunication enterprises. The proposed model captures the finite order interactional and deep hidden features. Additionally, the text information in the data is used to improve the model’s recommendation capability. The proposed method also does not require feature engineering. We conducted comprehensive experiments using real-world datasets, the results of which demonstrated that our proposed method outperformed other methods based on DBNs, DCNs, deep factorization machines, and deep neural networks in terms of the area under the ROC curve, cross entropy (log loss), and recall metrics.

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Chin Wei, Chong, Chong Siong Choy, and Paul Heng Ping Yeow. "KM implementation in Malaysian telecommunication industry." Industrial Management & Data Systems 106, no. 8 (October 2006): 1112–32. http://dx.doi.org/10.1108/02635570610710782.

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Jaskóła, Przemysław, Piotr Arabas, and Andrzej Karbowski. "Simultaneous routing and flow rate optimization in energy–aware computer networks." International Journal of Applied Mathematics and Computer Science 26, no. 1 (March 1, 2016): 231–43. http://dx.doi.org/10.1515/amcs-2016-0016.

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Abstract The issue of energy-aware traffic engineering has become prominent in telecommunications industry in the last years. This paper presents a two-criteria network optimization problem, in which routing and bandwidth allocation are determined jointly, so as to minimize the amount of energy consumed by a telecommunication infrastructure and to satisfy given demands represented by a traffic matrix. A scalarization of the criteria is proposed and the choice of model parameters is discussed in detail. The model of power dissipation as a function of carried traffic in a typical software router is introduced. Then the problem is expressed in a form suitable for the mixed integer quadratic programming (MIQP) solver. The paper is concluded with a set of small, illustrative computational examples. Computed solutions are implemented in a testbed to validate the accuracy of energy consumption models and the correctness of the proposed traffic engineering algorithm.

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Wei Chong, Chin, Siong Choy Chong, and Kuan Yew Wong. "Implementation of KM strategies in the Malaysian telecommunication industry." VINE 37, no. 4 (October 30, 2007): 452–70. http://dx.doi.org/10.1108/03055720710838524.

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Almufadi, Naseebah, and Ali Mustafa Qamar. "Deep Convolutional Neural Network Based Churn Prediction for Telecommunication Industry." Computer Systems Science and Engineering 43, no. 3 (2022): 1255–70. http://dx.doi.org/10.32604/csse.2022.025029.

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Board, Editorial. "International Conference on Sustainable Development in Design & Manufacturing." Global Journal of Enterprise Information System 8, no. 1 (August 9, 2016): 75. http://dx.doi.org/10.18311/gjeis/2016/7528.

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Saraswati College of Engineering is a leading Engineering Institute, established in the year 2004 by Hon. Prithviraj Deshmukh and Smt. Vrushali Deshmukh. The college is approved by AICTE, New Delhi and affiliated to University of Mumbai, India. The college campus is beautifully landscaped in a lush green stretch of land spread across Kharghar Hills, SCOE offers UG Engineering Courses in Civil, Mechanical, Electronics & Telecommunication, Computer, Automobile and Information Technology. SCOE also offers PG courses in Civil, Mechanical, Electronics & Telecommunication and Computer Engineering. SCOE is established with a purpose of imparting state of art technical education to aspiring engineers of 21st Century. Efforts are taken by enhancing the employability & skills of students to bridge gap between Industry & Institute.

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Riyadh, Hosam Alden, Salsabila Aisyah Alfaiza, Abdulsatar Abduljabbar Sultan, Munadil K. Faaeq, and Radyan Dananjoyo. "An analysis of CRM practices in the telecommunication industry in Iraq." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (July 1, 2021): 453. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp453-462.

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<p>Today, concerning the capacityto react straight for wardly to client demands and offer the client a profound experience that is customized and interactive, organizations in the telecommunication industry must have the capacity toset up, support and continue the connections toward long-term clients. This study attempts to analyze and observe the customer relationship management (CRM) practices that affectfirm performance telecommunication corporations. Thus, the study employed a qualitative method, the primary data were obtained using the questionnaire and the respondents consisted of 100 people. The results propose that customer relationships' management factors included the gathering of information, the processing of data, the management of information, the loyalty of customers, and the retention of customers with significantly related to the performance of a firm in the industry of telecommunication in Iraq.</p>

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Almuqren, Latifah, Fatma S. Alrayes, and Alexandra I. Cristea. "An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach." Future Internet 13, no. 7 (July 5, 2021): 175. http://dx.doi.org/10.3390/fi13070175.

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With the rising growth of the telecommunication industry, the customer churn problem has grown in significance as well. One of the most critical challenges in the data and voice telecommunication service industry is retaining customers, thus reducing customer churn by increasing customer satisfaction. Telecom companies have depended on historical customer data to measure customer churn. However, historical data does not reveal current customer satisfaction or future likeliness to switch between telecom companies. The related research reveals that many studies have focused on developing churner prediction models based on historical data. These models face delay issues and lack timelines for targeting customers in real-time. In addition, these models lack the ability to tap into Arabic language social media for real-time analysis. As a result, the design of a customer churn model based on real-time analytics is needed. Therefore, this study offers a new approach to using social media mining to predict customer churn in the telecommunication field. This represents the first work using Arabic Twitter mining to predict churn in Saudi Telecom companies. The newly proposed method proved its efficiency based on various standard metrics and based on a comparison with the ground-truth actual outcomes provided by a telecom company.

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Vincent, Richard C. "The Internet and Sustainable Development: Communication Dissemination and the Digital Divide." Perspectives on Global Development and Technology 15, no. 6 (November 29, 2016): 605–37. http://dx.doi.org/10.1163/15691497-12341410.

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This paper analyzes the state of Internet penetration across the developing world. We examine a variety of socioeconomic, human capital, and media and technology-related measures as they relate to Internet adoption. Results demonstrate that the Internet is not only dependent on economic variables such as spendable income, costs and poverty, but also education, literacy, share of urban population; population growth, and old and new telecommunication measures such as telephone subscriptions, broadband subscriptions and related costs, computer and mobile phone ownership, number of telecommunication secured lines and bits generated, trade matters such as communication services exports, and political environment issues such as political and democratic openness, economic freedom, and freedom of the press. Contrary to earlier research,gdpand English language are not statistically significant variables. Our findings on telecommunication industry competition and literacy run contrary to many earlier studies that find these variables to be unrelated to the Internet.

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LU, WEN-MIN, and SHIU-WAN HUNG. "BENCHMARKING THE OPERATING EFFICIENCY OF GLOBAL TELECOMMUNICATION FIRMS." International Journal of Information Technology & Decision Making 07, no. 04 (December 2008): 737–50. http://dx.doi.org/10.1142/s0219622008003149.

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The rapid development of modern information technology has led to fierce competition in today's telecommunication industry. Telecommunication firms' accountability demands that operating efficiency be measured, maximized, and benchmarked. This study proposes an alternative context-dependent data envelopment analysis (DEA) technique to explore the managerial performance and the benchmarks of 24 global leading telecom operators. The analysis measures the relative attractiveness and progress of global telecom operators on a specific performance level against operators exhibiting poorer and/or better performance. The set operators are grouped into different levels of efficiency frontiers. Each efficiency frontier on a specific performance level is then used as an evaluation context for the relative attractiveness and progress. The performance of the efficient telecoms changes as the inefficient telecoms change their performance. It is shown that the context-dependent DEA can be used to differentiate and benchmark the performance of efficient DMUs. These benchmarks may give a first guideline for performance improvement of global telecommunication operators.

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Susanto, Heru, Aida Sari, and Fang-Yie Leu. "Innovative Business Process Reengineering Adoption: Framework of Big Data Sentiment, Improving Customers’ Service Level Agreement." Big Data and Cognitive Computing 6, no. 4 (December 8, 2022): 151. http://dx.doi.org/10.3390/bdcc6040151.

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Social media is now regarded as the most valuable source of data for trend analysis and innovative business process reengineering preferences. Data made accessible through social media can be utilized for a variety of purposes, such as by an entrepreneur who wants to learn more about the market they intend to enter and uncover their consumers’ requirements before launching their new products or services. Sentiment analysis and text mining of telecommunication businesses via social media posts and comments are the subject of this study. A proposed framework will be utilized as a guideline, and it will be tested for sentiment analysis. Lexicon-based sentiment categorization is used as a model training dataset for a supervised machine learning support vector machine. The result is very promising. The accuracy and the quantity of the true sentiments it can detect are compared. This result signifies the usefulness of text mining and sentiment analysis on social media data, while the use of machine learning classifiers for predicting sentiment orientation provides a useful tool for operations and marketing departments. The availability of large amounts of data in this digitally active society is advantageous for sectors such as the telecommunication industry. These companies can be two steps ahead with their strategy and develop a more cohesive company that can make customers happier and mitigate problems easily with the use of text mining and sentiment analysis for further adopting innovative business process reengineering for service improvements within the telecommunications industry.

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GHAHRAMANI, BAHADOR. "A TELECOMMUNICATION'S LEAN MANAGEMENT INFORMATION SYSTEM FOR THE UTILITY INDUSTRY." International Journal of Information Technology & Decision Making 02, no. 04 (December 2003): 693–715. http://dx.doi.org/10.1142/s0219622003000902.

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The system designers and developers (SD&Ds) of a leading global Fortune 500 telecommunication corporation developed a Lean Management Information System (LMIS) for a Metropolitan Utility Company (MUC) located in the United States. The MUC needed a state-of-the-art information system to provide services for its expanding customer base, which was projected to grow at a rate of approximately 2.4% annually over the next ten years. This paper compares the legacy system with the LMIS and discusses lean management principles employed to design and develop the new system.

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Geisler, E. "Japans Computer and Telecommunications Industry [Book Reviews]." IEEE Transactions on Engineering Management 44, no. 1 (February 1997): 101–2. http://dx.doi.org/10.1109/tem.1997.552815.

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Chen, Jengchung Victor, Andree E. Widjaja, and Bianca Chen. "The Relationships Among Environmental Turbulence and Socio-Technical Risk Factors Affecting Project Risks and Performance in NPD Project Teams." International Journal of Sociotechnology and Knowledge Development 9, no. 2 (April 2017): 17–36. http://dx.doi.org/10.4018/ijskd.2017040102.

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This study proposes a research framework to empirically examine the relationships among environmental turbulence, socio-technical risk factors, project risk, and project performance for a New Product Development (NPD) project team in the telecommunications industry. In addition, the moderating effect of communication on the relationship between project risk and project performance is also analyzed. The samples were collected from NPD team projects in 17 of Taiwan's telecommunication public firms. Our results indicate a positive relationship between: (1) environmental turbulence and social-related risks, (2) social-related risks and technical-related risks, (3) socio-technical related risks and project risks, and (4) a strong negative relationship between project risks and project performance. Meanwhile, although statistically insignificant, the moderating effect of communication could weaken the relationship between project risk and project performance.

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Menkens, Christian, and Michael Wuertinger. "From service delivery to integrated SOA based application delivery in the telecommunication industry." Journal of Internet Services and Applications 2, no. 2 (June 19, 2011): 95–111. http://dx.doi.org/10.1007/s13174-011-0028-9.

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Tomaszewski, Piotr, Lars Lundberg, and Håkan Grahn. "Improving Fault Detection in Modified Code — A Study from the Telecommunication Industry." Journal of Computer Science and Technology 22, no. 3 (May 2007): 397–409. http://dx.doi.org/10.1007/s11390-007-9053-3.

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Moradhaseli, Heshmat, and Jalal Haghighatmonfared. "Model of Technological, Managerial and Marketing Infrastructure for Intelligent Technology Efficiency in Telecommunication Industry - Case Study: Telecommunication Infrastructure Company of Ilam Province1." Journal of Information Systems and Telecommunication (JIST) 8, no. 30 (August 27, 2020): 105–12. http://dx.doi.org/10.29252/jist.8.30.105.

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Zhang, Tianyuan, Sérgio Moro, and Ricardo F. Ramos. "A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation." Future Internet 14, no. 3 (March 16, 2022): 94. http://dx.doi.org/10.3390/fi14030094.

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Numerous valuable clients can be lost to competitors in the telecommunication industry, leading to profit loss. Thus, understanding the reasons for client churn is vital for telecommunication companies. This study aimed to develop a churn prediction model to predict telecom client churn through customer segmentation. Data were collected from three major Chinese telecom companies, and Fisher discriminant equations and logistic regression analysis were used to build a telecom customer churn prediction model. According to the results, it can be concluded that the telecom customer churn model constructed by regression analysis had higher prediction accuracy (93.94%) and better results. This study will help telecom companies efficiently predict the possibility of and take targeted measures to avoid customer churn, thereby increasing their profits.

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Lin, Xing Zhi. "Guangxi, China-ASEAN Uniform Information Joint Development of Manufacturing and Logistics Industry." Applied Mechanics and Materials 52-54 (March 2011): 2099–104. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.2099.

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By the analysis on the manufacturing industry, logistic industry, information and technology integration, and regional advantage of manufacturing logistics in Guangxi,China -ASEAN (Association of Southeast Asian Nations) economic zone, modern manufacturing logistics technology, this article provides the realization means and pattern for the information integration and joint development of manufacturing industry and logistic industry. Information integration and joint development of manufacturing industry and logistic industry of Guangxi,China-ASEAN is by using regional logistic supply chain IFA (Intelligent Flexible Architecture), according to the advantage of Value China by modern logistic joint development, to establish an information integration and combined public service system supported by IOT (Internet Of Things), Internet and CTI (Computer Telecommunication Integration), defines information integration as the middleware to develop U type smiling curve of Guangxi-ASEAN manufacturing industry and logistic industry, and uses multiple modules structure model arithmetic to form Guangxi-ASEAN information integration and joint development model, which realizes information integration and joint development system of logistic socialization, regional economic integration, and logistic factors permutational aggregation for manufacturing industry and logistic industry.

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Amir Sjarif, Nilam Nur, Yazriwati Yahya, Suriayati Chuprat, and Nurul Huda Firdaus Mohd Azmi. "Support Vector Machine Algorithm for SMS Spam Classification in The Telecommunication Industry." International Journal on Advanced Science, Engineering and Information Technology 10, no. 2 (April 17, 2020): 635. http://dx.doi.org/10.18517/ijaseit.10.2.10175.

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DOU, Cai-lan, and Xiao-yu LONG. "The research on the substitution effect between the wireless and fixed telecommunication industry." Journal of China Universities of Posts and Telecommunications 13, no. 3 (September 2006): 102–6. http://dx.doi.org/10.1016/s1005-8885(07)60021-1.

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Grochow, Jerrold M. "Smalltalk in the telecommunications industry." Communications of the ACM 38, no. 10 (October 1995): 110–11. http://dx.doi.org/10.1145/226239.226263.

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Surantha, Nico, and Noffal A. Putra. "Integrated SDN-NFV 5G Network Performance and Management-Complexity Evaluation." Future Internet 14, no. 12 (December 14, 2022): 378. http://dx.doi.org/10.3390/fi14120378.

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Digitalization is one of the factors that affects the acceleration of the application of telecommunications technologies such as 5G. The 5G technology that has been developed today does not yet meet different performance and manageability standards, particularly for data center networks as a supportive technology. Software-defined networking (SDN) and network function virtualization (NFV) are two complementary technologies that are currently used by almost all data centers in the telecommunications industry to rectify performance and manageability issues. In this study, we deliver an integrated SDN-NFV architecture to simplify network management activities in telecommunication companies. To improve network performance at the computing level, we performed a modification of a networking system at the computing level, underlying NFV devices by replacing the default virtual switch with a data plane development kit (DPDK) and single root I/O virtualization (SR-IOV). This study evaluated the proposed architecture design in terms of network performance and manageability. Based on 30 days of observation in prime time, the proposed solution increased throughput up to 200 Mbps for the server leaf and 1.6 Gbps for the border leaf compared to the legacy architecture. Meanwhile, the latency decreased to 12 ms for the server leaf and 17 ms for the border leaf. For manageability, we tested three different scenarios and achieved savings of 13 min for Scenario 1, 22 min for Scenario 2 and 9 min for Scenario 3.

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Kamel, Sherif, and Khaled Wahba. "GPRS security as a QoS in the telecommunication industry case of Vodafone Egypt." International Journal of Information Management 24, no. 1 (February 2004): 5–27. http://dx.doi.org/10.1016/j.ijinfomgt.2003.12.004.

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Eidam, Sebastian, Anja Redenz, David Sonius, and Nicole vom Stein. "Ubiquitous Healthcare — Do the Health and Information Technology Sectors Converge?" International Journal of Innovation and Technology Management 14, no. 06 (November 9, 2017): 1750039. http://dx.doi.org/10.1142/s0219877017500390.

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Processes of convergence strongly influence the development of several industries and modern technologies as the example of convergence of the computer and telecommunication industry into one sector of information and communications technology (ICT) shows. These convergences are a substantial uncertainty for established companies in both established areas. Ubiquitous healthcare is a current trend in health technology which might be the expression of such a convergence. Therefore, the question whether this trend is an expression of an overall industry convergence between the ICT and the health sector is investigated in this study. Publication and patent data-based analyses are carried out for that purpose. An industry/technology sector classification as well as an IPC-co-classification analysis reveal clear signs of convergence between the ICT and health sector on the scientific and technology level. The results are critically discussed and theoretical and practical implications are given.

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Umair Manzoor, Sajjad Ahmad Baig, Muhammad Usman, and Muhammad Ibrahim Shahid. "Factors Affecting Brand Switching Behavior in Telecommunication: A Quantitative Investigation in Faisalabad Region." Journal of Marketing and Information Systems 3, no. 1 (August 11, 2020): 63–82. http://dx.doi.org/10.31580/jmis.v3i1.1485.

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The purpose of the study is to investigate the factors effecting brand switching behavior of customers in the telecommunication industry of Pakistan. The study is conducted in Faisalabad city. A quantitative approach has been employed to measure the relationships between the variables of the study. Primary data was collected through a Questionnaire. The sample of 204 respondents were selected on the basis of convenient sampling. SPSS was used to record and compute data. The Regression analysis, reliability, and Correlation tests were applied in order to test research hypothesis. The findings reveal that price, brand image, network quality, value-added services, and promotional activities directly influence consumer switching behavior among youngsters. The outcomes of the research can help telecommunication companies in deciding what factors are more important to keep customers loyal and to discourage brand switching.

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Ktari, Jalel, Tarek Frikha, Monia Hamdi, Hela Elmannai, and Habib Hmam. "Lightweight AI Framework for Industry 4.0 Case Study: Water Meter Recognition." Big Data and Cognitive Computing 6, no. 3 (July 1, 2022): 72. http://dx.doi.org/10.3390/bdcc6030072.

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The evolution of applications in telecommunication, network, computing, and embedded systems has led to the emergence of the Internet of Things and Artificial Intelligence. The combination of these technologies enabled improving productivity by optimizing consumption and facilitating access to real-time information. In this work, there is a focus on Industry 4.0 and Smart City paradigms and a proposal of a new approach to monitor and track water consumption using an OCR, as well as the artificial intelligence algorithm and, in particular the YoLo 4 machine learning model. The goal of this work is to provide optimized results in real time. The recognition rate obtained with the proposed algorithms is around 98%.

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Grover, Varun, and Pradeep Vaswani. "Partnerships in the U.S. telecommunications industry." Communications of the ACM 43, no. 2 (February 2000): 80–89. http://dx.doi.org/10.1145/328236.328107.

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Huang, Chi-Yo, Shih-Yu Chang, Yu-Hsien Yang, and Gwo-Hshiung Tzeng. "Next Generation Passive Optical Networking Technology Predictions by Using Hybrid MCDM Methods." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 4 (June 20, 2011): 400–405. http://dx.doi.org/10.20965/jaciii.2011.p0400.

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The evolution of broadband telecommunication technologies has enabled applications over networks, which, in turn, has enabled the emergence of novel network services and applications such as VoIP and video on demand in triggering demand for higher network bandwidth. Passive Optical Networking (PON) is suitable for eliminating bandwidth insufficiency, so national governments and communities are observing the emergence of Fiber-To-The-Home (FTTH) technologies. Ethernet-based Passive Optical Networks (EPON) and Gigabit-based PON (GPON) are two candidates for next-generation PON in bandwidth efficiency. To predict which is more suitable nationally, we define a foresight framework based on hybrid Multiple Criteria Decision Making (MCDM) methods for selecting the most suitable PON. The development of next-generation PON, including Ethernet PON (EPON) and Gigabit PON (GPON), is introduced and compared. Experts from industry and academia were invited to predict the most suitable next-generation PON for Japan and emerging economies such as Taiwan. Results showed that EPON is most suitable for Japan and GPON most suitable for Taiwan. Results for the technological foresight can serve as the basis for national telecommunication policy and business product definition.

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M., Akshay Anand, M. P. Venkatesh, and Pramod Kumar T.M. "GLOBAL REGULATORY APPROACH TOWARDS M-HEALTH." International Journal of Drug Regulatory Affairs 4, no. 1 (February 13, 2018): 6–12. http://dx.doi.org/10.22270/ijdra.v4i1.176.

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The past decade has witnessed rapid advancement in telecommunication and computer technologies. The smart phone is one result of that technological development and has been adopted by hundreds of millions of people worldwide. Innovators in the medical device industry quickly recognized the potential to use smartphones to expand the capabilities of healthcare professionals via mobile medical applications (apps) resident on these devices. These apps raise unique challenges for regulation by the drug regulatory authorities worldwide including the Food and Drug Administration (FDA), European Medical Association (EMA) etc. The focus of this article is to shed light on the current trends and future aspects of the regulatory framework implied on the Mobile Health (mHealth).

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Al-Mashraie, Mohammed, Sung Hoon Chung, and Hyun Woo Jeon. "Customer switching behavior analysis in the telecommunication industry via push-pull-mooring framework: A machine learning approach." Computers & Industrial Engineering 144 (June 2020): 106476. http://dx.doi.org/10.1016/j.cie.2020.106476.

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Vanderlinden, S. L., B. O. Anthony, G. D. Batalden, B. K. Gorti, J. Lloyd, J. Macon, G. Pruett, and B. A. Smith. "BladeCenter T system for the telecommunications industry." IBM Journal of Research and Development 49, no. 6 (November 2005): 873–86. http://dx.doi.org/10.1147/rd.496.0873.

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Y. Razeeth Khan. "Customers perference and satisfaction towards reliance- 4 g jio services in Tiruchirappalli district." Jamal Academic Research Journal : An Interdisciplinary 1, no. 1 (February 10, 2020): 31–37. http://dx.doi.org/10.46947/jarj1120205.

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A computer network or a data network is a digital telecommunication network. Reliance Jio limited a subsidiary of Reliance industry limited is India’s largest private sector company, which is the most first telecom operator to hold pan India unified license. The company provides all communication services except global mobile personal communication by satellite services. The objective is to identify the customer preference and satisfaction on Reliance Jio sim services in Tiruchirappalli district. Data were collected with the help of survey method through structured questionnaire. After collecting the data from the customers, it was verified and analyzed using percentage, chi-square tests method for the identifying the customer response over reliance jio services. The present study carried out with 250 users of Reliance 4G services.

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Usman-Hamza, Fatima Enehezei, Abdullateef Oluwagbemiga Balogun, Luiz Fernando Capretz, Hammed Adeleye Mojeed, Saipunidzam Mahamad, Shakirat Aderonke Salihu, Abimbola Ganiyat Akintola, Shuib Basri, Ramoni Tirimisiyu Amosa, and Nasiru Kehinde Salahdeen. "Intelligent Decision Forest Models for Customer Churn Prediction." Applied Sciences 12, no. 16 (August 18, 2022): 8270. http://dx.doi.org/10.3390/app12168270.

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Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry. It is important to researchers and industry analysts interested in projecting customer behavior to separate churn from non-churn consumers. The fundamental incentive is a firm’s intent desire to keep current consumers, along with the exorbitant expense of gaining new ones. Many solutions have been developed to address customer churn prediction (CCP), such as rule-based and machine learning (ML) solutions. However, the issue of scalability and robustness of rule-based customer churn solutions is a critical drawback, while the imbalanced nature of churn datasets has a detrimental impact on the prediction efficacy of conventional ML techniques in CCP. As a result, in this study, we developed intelligent decision forest (DF) models for CCP in telecommunication. Specifically, we investigated the prediction performances of the logistic model tree (LMT), random forest (RF), and Functional Trees (FT) as DF models and enhanced DF (LMT, RF, and FT) models based on weighted soft voting and weighted stacking methods. Extensive experimentation was performed to ascertain the efficacy of the suggested DF models utilizing publicly accessible benchmark telecom CCP datasets. The suggested DF models efficiently distinguish churn from non-churn consumers in the presence of the class imbalance problem. In addition, when compared to baseline and existing ML-based CCP methods, comparative findings showed that the proposed DF models provided superior prediction performances and optimal solutions for CCP in the telecom industry. Hence, the development and deployment of DF-based models for CCP and applicable ML tasks are recommended.

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HAN, XUE, and JIANG YU. "EVALUATING 3G LICENSING PATTERNS FOR AN INDIGENOUS STANDARD IN CHINA." International Journal of Information Technology & Decision Making 07, no. 03 (September 2008): 451–70. http://dx.doi.org/10.1142/s021962200800306x.

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With the largest wireless market in the world, China's selection of the appropriate 3G licensing patterns will have some crucial impacts on the landscape of telecommunication industry in China and other parts of the world. Under its obligations to the World Trade Organization, the Chinese government wishes to demonstrate a relatively structured and transparent 3G licensing process. Therefore, evaluation criteria in designing licensing patterns for the home-grown 3G standard should satisfy multiple goals to meet the requirements of the different stakeholders such as government, consumers, the potential operators, and domestic manufacturers. The surveys in methodology of Multi-Criteria Decision Making (MCDM) are conducted and the results reveal that the research methodology is applicable to the evaluation and policy-making process under the transitional context.

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Pinedo, Christian, Marina Aguado, Igor Lopez, and Jasone Astorga. "Modelling and Simulation of ERTMS for Current and Future Mobile Technologies." International Journal of Vehicular Technology 2015 (December 17, 2015): 1–11. http://dx.doi.org/10.1155/2015/912417.

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Nowadays, train control in-lab simulation tools play a crucial role in reducing extensive and expensive on-site railway testing activities. In this paper, we present our contribution in this arena by detailing the internals of our European Railway Train Management System in-lab demonstrator. This demonstrator is built over a general-purpose simulation framework, Riverbed Modeler, previously Opnet Modeler. Our framework models both ERTMS subsystems, the Automatic Train Protection application layer based on movement authority message exchange and the telecommunication subsystem based on GSM-R communication technology. We provide detailed information on our modelling strategy. We also validate our simulation framework with real trace data. To conclude, under current industry migration scenario from GSM-R legacy obsolescence to IP-based heterogeneous technologies, our simulation framework represents a singular tool to railway operators. As an example, we present the assessment of related performance indicators for a specific railway network using a candidate replacement technology, LTE, versus current legacy technology. To the best of our knowledge, there is no similar initiative able to measure the impact of the telecommunication subsystem in the railway network availability.

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Bhattacharyya, Jishnu, Soumyadeep Kundu, Manoj Kumar Dash, and Shivam Dolhey. "An Investigation on Consumer Switching Behavior in an Asian Telecommunication Market." International Journal of Service Science, Management, Engineering, and Technology 12, no. 6 (November 2021): 105–25. http://dx.doi.org/10.4018/ijssmet.2021110107.

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The paper investigates the determinants of consumer switching behavior in the Indian telecom industry, overcoming the scarcity of research from emerging economies. The study collected data using a questionnaire instrument directly from the customers and was selected through purposive sampling. Binomial probit regression technique was used for modeling purposes. The study concludes that the critical services, service specification, loyalty, and user engagement-related factors influence customer churn. The study specified the key sub-factors directly influencing these four factors. The findings are presented as a set of four different models. The article is the first exploration of the idea of proposing function-specific models and the use of purposive sampling. The study attempts to provide models that are convenient to administer, require specific data, specific to functional area, economic data collection, and may be used based on the context of an investigation. The paper suggests how to perform a convenient investigation using a small dataset.

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Flynn, Leo. "European union regulation of the telecommunications industry." International Review of Law, Computers & Technology 10, no. 1 (March 1996): 9–26. http://dx.doi.org/10.1080/13600869.1996.9966429.

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Opoku, Felix Kwame, and Kwamena Minta Nyarku. "The learning organisation, service delivery quality and internal customer satisfaction in the mobile telecommunication industry." International Journal of Work Innovation 3, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijwi.2022.10051317.

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Opoku, Felix Kwame, and Kwamena Minta Nyarku. "The learning organisation, service delivery quality and internal customer satisfaction in the mobile telecommunication industry." International Journal of Work Innovation 3, no. 2 (2022): 130. http://dx.doi.org/10.1504/ijwi.2022.126872.

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Kuo, G. S. "Telecommunications Markets, Industry, and Infrastructure in Asia." IEEE Communications Magazine 36, no. 11 (November 1998): 36. http://dx.doi.org/10.1109/mcom.1998.733471.

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Amadasun, Kennedy Nomamidobo, Michael Short, Rajesh Shankar-Priya, and Tracey Crosbie. "Transitioning to Society 5.0 in Africa: Tools to Support ICT Infrastructure Sharing." Data 6, no. 7 (June 25, 2021): 69. http://dx.doi.org/10.3390/data6070069.

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Society 5.0 represents an opportunity to transform the economy and create a digital society with the goal of long-term sustainable development and economic growth. There is a growing importance of boosting ICT as an effective and efficient means of achieving this transformation, and Target 9c of the UN Sustainable Development Goals is to ‘Significantly increase access to information and communications technology and strive to provide universal and affordable access to the Internet in least developed countries’. Mobile telecommunication systems have become the most effective and convenient means of communicating in the world, and as such, they are revolutionizing business operations. Nigeria is the fastest growing telecommunication market in Africa, with approximately 298 million subscribers accommodated by over 53,000 base transceiver stations (BTSs) which are largely concentrated in urban areas. As a result of increasing subscribers, all mobile network service providers in Nigeria are building new BTSs, often without considering existing infrastructure. This has led to a proliferation of masts, defacing the environment and causing unnecessary environmental pollution as BTSs are largely powered by diesel generators. It is therefore becoming paramount for the telecommunication regulatory body in Nigeria to enforce principles of infrastructure sharing and the colocation of sites for all mobile network service provider BTSs to improve network availability, reliability, scalability, customer satisfaction and sustainability. This paper argues, through the development of ICT tools and their application to a case study, that infrastructure sharing and colocation of sites is not only feasible if supported correctly but also offers the potential to reduce operational and capital expenditure, reduce the number of BTSs required for the rapidly growing mobile telecoms industry in Nigeria and in doing so reduce environmental pollution.

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Journal articles on the topic 'Computer and telecommunication industry'

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