Forecasting in telecommunications and ICT—A review

[1]  Towhidul Islam,et al.  Household level innovation diffusion model of photo-voltaic (PV) solar cells from stated preference data , 2014 .

[2]  N. Meade,et al.  The impact of attribute preferences on adoption timing: The case of photo-voltaic (PV) solar cells for household electricity generation , 2013 .

[3]  Nigel Meade,et al.  The impact of competition, and economic globalization on the multinational diffusion of 3G mobile phones , 2012 .

[4]  Erik Bohlin,et al.  Fixed and mobile broadband substitution in Sweden , 2012 .

[5]  James W. Taylor,et al.  Density Forecasting of Intraday Call Center Arrivals Using Models Based on Exponential Smoothing , 2012, Manag. Sci..

[6]  Paris A. Mastorocostas,et al.  A computational intelligence-based forecasting system for telecommunications time series , 2012, Eng. Appl. Artif. Intell..

[7]  Herbert G. Thompson,et al.  Economic impacts of mobile versus fixed broadband , 2011 .

[8]  Robert J. Kauffman,et al.  What drives global ICT adoption? Analysis and research directions , 2011, Electron. Commer. Res. Appl..

[9]  Pantelis Koutroumpis,et al.  Competition enhancing regulation and diffusion of innovation: the case of broadband networks , 2011 .

[10]  N. Meade,et al.  Detecting the impact of market factors on sales takeoff times of analog cellular telephones , 2011 .

[11]  Bong Gyou Lee,et al.  Estimating demand curve in the Korean VoIP telecommunications market , 2011 .

[12]  Timothy R. Anderson,et al.  A look into the future of wireless mobile communication technologies , 2010, Technol. Anal. Strateg. Manag..

[13]  Deborah Estrin,et al.  Participatory sensing: applications and architecture , 2010, MobiSys '10.

[14]  Theologos Dergiades,et al.  Modelling and forecasting mobile telecommunication services: the case of Greece , 2010 .

[15]  Feng-Shang Wu,et al.  Diffusion models of mobile telephony , 2010 .

[16]  So Young Sohn,et al.  Conjoint and WTP analyses of future mobile phones for digital convergence , 2010 .

[17]  Harald Gruber,et al.  Diffusion of new technology generations in mobile communications , 2010, Inf. Econ. Policy.

[18]  Nigel Meade,et al.  Using copulas to model repeat purchase behaviour - An exploratory analysis via a case study , 2010, Eur. J. Oper. Res..

[19]  Deborah Estrin,et al.  Internet Predictions , 2010, IEEE Internet Comput..

[20]  Chip Elliott,et al.  GENI: Opening Up New Classes of Experiments in Global Networking , 2010 .

[21]  David Clark.  Fighting over the Future of the Internet , 2010 .

[22]  Elizabeth A. Mack,et al.  Forecasting broadband provision , 2009, Inf. Econ. Policy.

[23]  David C. Yen,et al.  Diffusion of mobile telephony: An empirical study in Taiwan , 2009 .

[24]  Junseok Hwang,et al.  Investigation of factors affecting the diffusion of mobile telephone services: An empirical analysis for Vietnam , 2009 .

[25]  Mary E. Thomson,et al.  The relative influence of advice from human experts and statistical methods on forecast adjustments , 2009 .

[26]  Yan Yang,et al.  Logistic model-based forecast of sales and generation of obsolete computers in the U.S. , 2009 .

[27]  V. Kreng,et al.  A technology replacement model with variable market potential — An empirical study of CRT and LCD TV , 2009 .

[28]  Maria Papadopouli,et al.  Trend forecasting based on Singular Spectrum Analysis of traffic workload in a large-scale wireless LAN , 2009, Perform. Evaluation.

[29]  Jesús Otero,et al.  An Estimation of the Pattern of Diffusion of Mobile Phones: The Case of Colombia , 2008 .

[30]  S. Singh,et al.  The diffusion of mobile phones in India , 2008 .

[31]  Gary Madden,et al.  Forecasting international bandwidth capacity using linear and ANN methods , 2008 .

[32]  Haipeng Shen,et al.  Interday Forecasting and Intraday Updating of Call Center Arrivals , 2008, Manuf. Serv. Oper. Manag..

[33]  Haipeng Shen,et al.  FORECASTING TIME SERIES OF INHOMOGENEOUS POISSON PROCESSES WITH APPLICATION TO CALL CENTER WORKFORCE MANAGEMENT , 2008, 0807.4071.

[34]  J. Comer,et al.  Worldwide Diffusion of the Cellular Telephone, 1995–2005 , 2008 .

[35]  Takanori Ida,et al.  Conjoint analysis of demand for IP telephony: the case of Japan , 2008 .

[36]  Christos Michalakelis,et al.  Diffusion models of mobile telephony in Greece , 2008 .

[37]  Kallol Kumar Bagchi,et al.  The impact of price decreases on telephone and cell phone diffusion , 2008, Inf. Manag..

[38]  Seongcheol Kim,et al.  The role of WiBro: Filling the gaps in mobile broadband technologies , 2008 .

[39]  Ger Koole.  Introduction to the Special Issue on Call Center Management , 2008, Manag. Sci..

[40]  James W. Taylor,et al.  A Comparison of Univariate Time Series Methods for Forecasting Intraday Arrivals at a Call Center , 2008, Manag. Sci..

[41]  Refik Soyer,et al.  Modeling and Analysis of Call Center Arrival Data: A Bayesian Approach , 2008, Manag. Sci..

[42]  Everette S. Gardner,et al.  Exponential smoothing in the telecommunications data , 2008 .

[43]  Yeonbae Kim,et al.  Demand forecasting for new technology with a short history in a competitive environment: the case of the home networking market in South Korea , 2008 .

[44]  Jonathan Weinberg,et al.  Bayesian Forecasting of an Inhomogeneous Poisson Process With Applications to Call Center Data , 2007 .

[45]  Tobias Kretschmer,et al.  Usage and Diffusion of Cellular Telephony, 1998-2004 , 2007 .

[46]  Min-Kyu Lee,et al.  The diffusion of mobile telecommunications services in Korea , 2007 .

[47]  Robert Fildes,et al.  Segmental new-product diffusion of residential broadband services , 2007 .

[48]  Dong Hee Shin,et al.  A study of MVNO diffusion and market structure in the EU, US, Hong Kong, and Singapore , 2007, Telematics Informatics.

[49]  Toker Doganoglu,et al.  Estimating network effects in mobile telephony in Germany , 2007, Inf. Econ. Policy.

[50]  Gary Madden,et al.  Forecasting telecommunications data with linear models , 2007 .

[51]  Luiz André Barroso.  Warehouse-scale Computers , 2007, USENIX Annual Technical Conference.

[52]  Ashraf Matrawy,et al.  A Multilayer Peer-to-Peer Framework for Distributed Synchronous Collaboration , 2006, IEEE Internet Computing.

[53]  Chihiro Watanabe,et al.  Diffusion, Substitution and Competition Dynamism Inside the ICT Market: A Case of Japan , 2006 .

[54]  Constantinos S. Hilas,et al.  Seasonal decomposition and forecasting of telecommunication data: A comparative case study , 2006 .

[55]  Chul-Yong Lee,et al.  Forecasting future demand for large-screen television sets using conjoint analysis with diffusion model , 2006 .

[56]  P. Rouvinen,et al.  Diffusion of Digital Mobile Telephony : Are Developing Countries Different? , 2006 .

[57]  Ulrich Kaiser.  Magazines and their Companion Websites: Competing Outlet Channels? , 2006 .

[58]  J WiorkowskiJohn,et al.  An Empirical Real-Time Test for Takeoff with Applications to Cellular Telephony , 2006 .

[59]  T. Ida,et al.  Discrete Choice Analysis of Demand for Broadband in Japan , 2006 .

[60]  N. Meade,et al.  Modelling and forecasting the diffusion of innovation – A 25-year review , 2006 .

[61]  Rob J Hyndman,et al.  25 years of time series forecasting , 2006 .

[62]  Gary Madden,et al.  Forecasting international bandwidth capability , 2005 .

[63]  Ashish Sood,et al.  Technological Evolution and Radical Innovation , 2005 .

[64]  Haipeng Shen,et al.  Analysis of call centre arrival data using singular value decomposition , 2005 .

[65]  Show-Ling Jang,et al.  The pattern and externality effect of diffusion of mobile telecommunications: the case of the OECD and Taiwan , 2005, Inf. Econ. Policy.

[66]  Avishai Mandelbaum,et al.  Statistical Analysis of a Telephone Call Center , 2005 .

[67]  Heli Koski,et al.  Entry, Standards and Competition: Firm Strategies and the Diffusion of Mobile Telephony , 2005 .

[68]  S. Sundqvist,et al.  The effects of country characteristics, cultural similarity and adoption timing on the diffusion of wireless communications , 2005 .

[69]  Gary Madden,et al.  Economic determinants of global mobile telephony growth , 2004, Inf. Econ. Policy.

[70]  Otto Toivanen,et al.  Intergenerational effects in the diffusion of new technology: the case of mobile phones , 2004 .

[71]  Anabela Botelho,et al.  The diffusion of cellular phones in Portugal , 2004 .

[72]  Lauri Frank,et al.  An analysis of the effect of the economic situation on modeling and forecasting the diffusion of wireless communications in Finland , 2004 .

[73]  S. Massini.  The diffusion of mobile telephony in Italy and the UK: an empirical investigation , 2004 .

[74]  Pierre L'Ecuyer,et al.  Modeling Daily Arrivals to a Telephone Call Center , 2003, Manag. Sci..

[75]  Grant Coble-Neal,et al.  Internet traffic dynamics , 2004 .

[76]  Kjell Stordahl.  Long-term broadband technology forecasting , 2004 .

[77]  Munkee Choi,et al.  The late take-off phenomenon in the diffusion of telecommunication services: network effect and the critical mass , 2003, Inf. Econ. Policy.

[78]  N. Meade,et al.  Modelling the dependence between the times to international adoption of two related technologies , 2003 .

[79]  G. Tellis,et al.  The International Takeoff of New Products: The Role of Economics, Culture, and Country Innovativeness , 2003 .

[80]  Avishai Mandelbaum,et al.  Telephone Call Centers: Tutorial, Review, and Research Prospects , 2003, Manuf. Serv. Oper. Manag..

[81]  R. Fildes.  Corrigendum to "Telecommunications demand forecasting--a review": [International Journal of Forecasting 18 (2002) 489-522] , 2003 .

[82]  Diego J. Pedregal,et al.  An unobserved component model for multi-rate forecasting of telephone call demand: the design of a forecasting support system , 2002 .

[83]  Myoung Hwan Park,et al.  Forecasting telecommunication service subscribers in substitutive and competitive environments , 2002 .

[84]  Scott J. Savage,et al.  Forecasting United States–Asia international message telephone service , 2002 .

[85]  Denzil G. Fiebig,et al.  Modelling multinational telecommunications demand with limited data , 2002 .

[86]  Rajkumar Venkatesan,et al.  Forecasting category sales and market share for wireless telephone subscribers: a combined approach , 2002 .

[87]  R. Fildes,et al.  Telecommunications demand forecasting—a review , 2002 .

[88]  Peter J. Klenow,et al.  Evidence on Learning and Network Externalities in the Diffusion of Home Computers* , 2002, The Journal of Law and Economics.

[89]  Robert Bartels,et al.  Supply Restricted Telecommunications Markets: The Effect of Technical Efficiency on Waiting Times , 2002 .

[90]  Nigel Meade,et al.  Forecasting call frequency at a financial services call centre , 2002, J. Oper. Res. Soc..

[91]  Barry L. Bayus,et al.  The Market Evolution and Sales Takeoff of Product Innovations , 2002, Manag. Sci..

[92]  Nakil Sung,et al.  Substitution between Mobile and Fixed Telephones in Korea , 2002 .

[93]  Matti Pohjola,et al.  Cross-country diffusion of the Internet , 2002, Inf. Econ. Policy.

[94]  James Eisner,et al.  The demand for bandwidth: second telephone lines and on-line services , 2001, Inf. Econ. Policy.

[95]  Kevin T. Duffy-Deno.  Demand for additional telephone lines: an empirical note , 2001, Inf. Econ. Policy.

[96]  Denzil G. Fiebig,et al.  Modelling the development of supply-restricted telecommunications markets , 2001 .

[97]  Nigel Meade,et al.  Forecasting the Diffusion of Innovations: Implications for Time-Series Extrapolation , 2001 .

[98]  Nigel Meade,et al.  A note on the Robust Trend and ARARMA methodologies used in the M3 Competition , 2000 .

[99]  Spyros Makridakis,et al.  The M3-Competition: results, conclusions and implications , 2000 .

[100]  Duk Bin Jun,et al.  Forecasting demand for low earth orbit mobile satellite service in Korea , 2000, Telecommun. Syst..

[101]  Jacek Ilow.  Forecasting network traffic using FARIMA models with heavy tailed innovations , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[102]  Maureen Meadows,et al.  Call centre capacity management , 2000 .

[103]  Wilbert E. Wilhelm,et al.  Forecasting notebook computer price as a function of constituent features , 1999 .

[104]  John T. Mentzer,et al.  Improving Salesforce Forecasting , 1999 .

[105]  Duk Bin Jun,et al.  A Choice-Based Diffusion Model for Multiple Generations of Products , 1999 .

[106]  K Stordahl,et al.  Long term forecasts for broadband demand , 1999 .

[107]  Frank Verboven,et al.  The Diffusion of Mobile Telecommunications Services in the European Union , 1999 .

[108]  Jeffrey E. Jarrett,et al.  Improving forecasting for telemarketing centers by ARIMA modeling with intervention , 1998 .

[109]  Thiagarajan Ravichandran,et al.  How to anticipate the Internet's global diffusion , 1998, CACM.

[110]  Robert Fildes,et al.  Generalising about univariate forecasting methods: Further empirical evidence , 1998 .

[111]  Abbas A. Kurawarwala,et al.  Product Growth Models for Medium-Term Forecasting of Short Life Cycle Products , 1998 .

[112]  Roger Klungle,et al.  Call Center Forecasting at AAA Michigan , 1998 .

[113]  M. Sarvary,et al.  Staged estimation of international diffusion models - An application to global cellular telephone adoption , 1998 .

[114]  Nigel Meade,et al.  The diffusion of successive generations of a technology: A more general model , 1997 .

[115]  Nigel Meade,et al.  Forecasting the Development of the Market for Business Telephones in the UK , 1996 .

[116]  David J. Atkin,et al.  Predicting Use of Technologies for Communication and Consumer Needs , 1996 .

[117]  V. Mahajan,et al.  Timing, Diffusion, and Substitution of Successive Generations of Technological Innovations: The IBM Mainframe Case , 1996 .

[118]  Bruce H. Andrews,et al.  L. L. Bean Improves Call-Center Forecasting , 1995 .

[119]  Nigel Meade,et al.  Prediction intervals for growth curve forecasts , 1995 .

[120]  D Tandberg,et al.  Time series forecasts of poison center call volume. , 1995, Journal of toxicology. Clinical toxicology.

[121]  Dipak C. Jain,et al.  Why the Bass Model Fits without Decision Variables , 1994 .

[122]  R. Choudary Hanumara,et al.  Forecasting Incoming Calls to Telemarketing Centers , 1993 .

[123]  L A Lillard,et al.  Simultaneous equations for hazards: marriage duration and fertility timing. , 1993, Journal of econometrics.

[124]  Jack C. Lee,et al.  Technological forecasting with nonlinear models , 1992 .

[125]  Vijay Gurbaxani,et al.  An Integrative Model of Information Systems Spending Growth , 1990, Inf. Syst. Res..

[126]  Werner A. Stahel,et al.  Forecasting demand for special telephone services: A case study , 1990 .

[127]  Denzil G. Fiebig,et al.  A flexible logistic growth model with applications in telecommunications , 1988 .

[128]  F. Bass,et al.  A diffusion theory model of adoption and substitution for successive generations of high-technology products , 1987 .

[129]  Jack C. Lee,et al.  On a family of data-based transformed models useful in forecasting technological substitutions , 1987 .

[130]  Vincent A. Mabert,et al.  Short interval forecasting of emergency phone call (911) work loads , 1985 .

[131]  C. Mar-Molinero.  Tractors in Spain: A Logistic Analysis , 1980 .

[132]  R. L. Henshel,et al.  Forecasting: An Appraisal for Policy-Makers and Planners. , 1978 .

[133]  F. Bass.  A new product growth model for consumer durables , 1976 .

[134]  M. Nawaz Sharif,et al.  System dynamics modeling for forecasting multilevel technological substitution , 1976 .

[135]  A.Wade Blackman,et al.  A mathematical model for trend forecasts , 1971 .

[136]  R. Chaddha,et al.  A "Generalization" of the Logistic Curves and Long-Range Forecasts (1966-1991) of Residence Telephones , 1971 .

[137]  J. C. Fisher,et al.  A simple substitution model of technological change , 1971 .

[138]  E. Rogers,et al.  Diffusion of Innovations , 1964 .