Analyzing technological threats and opportunities in wireless data services

Preez, Gert T. du; Pistorius, C.W.I.

doi:10.1016/s0040-1625(02)00253-6

Cited by 39 publications

(12 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most important service performance attributes in the voice arena are coverage and quality of service, and especially the quality of voice transmission. Since both performance attributes are basically satisfied in a similar way by all competitors because of roaming contracts and the limits of the technological infrastructure, the basis of competition shifts to price (du Preez and Pistorius, 2003). This shift could be an indication of performance oversupply in this area.…”

Section: Value Network and Metrics Of Value In Mobile Communicationsmentioning

confidence: 99%

Analysing disruptive potential: the case of wireless local area network and mobile communications network companies

Hüsig¹,

Hipp²,

Dowling³

2005

R&D Management

View full text Add to dashboard Cite

In this article, we analyse the prediction that wireless local area network (W‐LAN) technologies will be disruptive for incumbent mobile communications network operators. For this purpose, we develop a methodology of guided interviews to assess technologies for their disruptive characteristics based on theory of disruptive technology developed by Christensen (1997) and recent extensions. The application of our comprehensive step‐by‐step method improves the precision of the disruptive technology concept and its usability for practitioners to make ex ante distinctions between disruptive technologies and other phenomena caused by emerging technologies. Our method predicts that contrary to common assumptions, W‐LAN is not likely to represent a disruptive technology for the established mobile communications network firms in terms of Christensen's concept. This research was conducted in close collaboration with Vodafone Pilotentwicklung, an R&D and technology monitoring unit of the Vodafone Group. Vodafone provided part of the empirical data through expert interviews and market reports.

show abstract

Section: Value Network and Metrics Of Value In Mobile Communicationsmentioning

confidence: 99%

Analysing disruptive potential: the case of wireless local area network and mobile communications network companies

Hüsig¹,

Hipp²,

Dowling³

2005

R&D Management

View full text Add to dashboard Cite

show abstract

“…Technology innovation is also a constant factor in the mobile telecommunication industry (Hamdouch and Samuelides, 2001;du Preez and Pistorius, 2003;Fernández and Usero, 2009). On the one hand, the rise of mobile devices tailored to Internet use (i.e., smartphones and tablets) and the diffusion of data-hungry content such as video streaming drive the consumption of data in mobility (Tilson and Lyytinen, 2006;West and Mace, 2010;Whitehead et al, 2011;de Reuver et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, innovation and investments in network infrastructure Technological Forecasting & Social Change xxx (2014) xxx-xxx technology increase the availability of data provision, while lower mobile data tariffs make it more accessible. In this complex competitive environment, elements such as regulatory backdrop, changing customer needs and positioning of competitors and partners alike are some of the additional variables that must be addressed by MNOs when devising their strategies (du Preez and Pistorius, 2003;Buellingen and Woerter, 2004;Zhang and Liang, 2011).…”

Section: Introductionmentioning

confidence: 99%

Strategy and business model design in dynamic telecommunications industries: A study on Italian mobile network operators

Ghezzi

Cortimiglia

Frank

2015

Technological Forecasting and Social Change

114

View full text Add to dashboard Cite

The mobile telecommunications industry is highly dynamic. Strategic, marketing and technological disruptive changes are the norm in this industry. In such a context, strategy formulation and implementation is a challenge for mobile network operators (MNOs). The aim of this study is to propose an interpretative framework to support MNO's strategic decision making in a dynamic competitive context characterized by disruptive changes in technology and business dimensions. The proposed framework was applied in an explorative multiple case study conducted on the four MNOs operating in Italy. Data collection involved semi-structured interviews with seven top and middle managers of each company. The application illustrates how the proposed framework allowed the identification of drivers for potentially disruptive change and their implications on Italian MNOs' business models. The research also highlights the main strategic routes that Italian MNOs have at their disposal to face the turbulent competitive times. Although the specific issues reported relate to the Italian context, it can be argued that they are reasonably representative of most Western markets.

show abstract

“…While a limited number of studies based on empirical approaches developed TOD activity frameworks or activity processes for individual firms in specific industries, these frameworks may not reflect the majority of firms‐level TOD practices in other industries. Firms' TOD practices are likely to be influenced by internal or external business drivers (du Preez and Pistorius, ) so may well differ according to firms' characteristics (Katila and Mang, ). Thus, an empirical study of the effects of business drivers and firms' characteristics on their TOD practices will yield fundamental information and enable the development of practical methods for use in further studies.…”

Section: Introductionmentioning

confidence: 99%

An empirical analysis on purposes, drivers and activities of technology opportunity discovery: the case of Korean SMEs in the manufacturing sector

et al. 2014

View full text Add to dashboard Cite

Technology opportunity discovery (TOD) is becoming increasingly important for identifying technology opportunities so that they can be reflected in firms' strategy planning. However, understanding of TOD practices within firms is limited, and the diversity of TOD practices has not been fully reflected in previous studies, especially from the perspective of small and medium enterprises (SMEs), which typically lack diverse technology portfolios or plentiful innovation resources, so technology opportunities have seldom been defined and analyzed. This study aims to investigate SMEs' TOD practices and to identify their characteristics. Interviews were conducted with Korean SME executives to define a conceptual TOD model for SMEs, and 104 Korean SMEs' TOD drivers and activities were surveyed focusing business drivers, business models, and information gathering. The results were then analyzed to define six technology opportunity types and to derive similarities and differences among them, which are used to understand and further support SMEs' TOD practices. The research findings are expected to enhance understanding about TOD practices and to help establish SMEs' TOD strategies.

show abstract

Analyzing technological threats and opportunities in wireless data services

Cited by 39 publications

References 4 publications

Analysing disruptive potential: the case of wireless local area network and mobile communications network companies

Analysing disruptive potential: the case of wireless local area network and mobile communications network companies

Strategy and business model design in dynamic telecommunications industries: A study on Italian mobile network operators

An empirical analysis on purposes, drivers and activities of technology opportunity discovery: the case of Korean SMEs in the manufacturing sector

Contact Info

Product

Resources

About