Dynamic Boundaries and Vertical Integration

Author(s):  
Jarkko Vesa

In this chapter we will review existing theories and models of the boundaries of firms and industries. The goal is to gain a better understanding of the forces behind the current development in the mobile services industry. It is argued here that at the end of the day, there are very few elements that are totally new even in the most advanced high-tech industries, when the focus is on the evolution of an industry.

2013 ◽  
Vol 4 (1) ◽  
pp. 15-36 ◽  
Author(s):  
Tapio Soikkeli ◽  
Juuso Karikoski ◽  
Heikki Hämmäinen

Mobile end user context has gained increasing attention in the mobile services industry. This article utilizes handset-based data, collected from 140 users, to examine smartphone usage in different place-related end user contexts. Smartphone usage is examined first on a high level by using smartphone usage session as a unit of analysis. Then the usage sessions are dismantled into application sessions for deeper analysis and application level study. According to the authors’ analysis, smartphone usage is highly diversified across users. For example, the daily smartphone usage time differs by orders of magnitude between users. They observed also that smartphones are used differently in different end user contexts. For example, some applications are clearly more context sensitive than others. The results imply that mobile services and applications need to adapt to user behavior in order to be personalized enough, and that context awareness can indeed be a worthwhile step towards this.


2015 ◽  
Vol 20 (Sspecial Edition) ◽  
pp. 205-224
Author(s):  
Rajah Rasiah ◽  
Nazia Nazeer

The history of successful industrializers, such as South Korea and Taiwan, shows a systematic shift in the production structure from low- to high- value added activities in manufacturing and its resulting impact on agriculture, mining and services. Within manufacturing, the transformation is seen in both a movement from low-value added sectors, such as apparel making, to high-tech activities, such as automotive and electronics products, and, within particular industries, vertical integration into knowledge-intensive activities. Pakistan’s failure to engender the conditions to stimulate technological upgrading within its leading manufacturing industry of clothing, and a shift away to higher-value added industries is the prime reason why the country has not achieved rapid growth in GDP per capital over the long-term. This paper discusses Pakistan’s stagnation in manufacturing over the period 1960-2013 against the experience of the rapid industrializers of South Korea, Taiwan and Malaysia. Drawing on empirical evidence it argues that Pakistan requires a dynamic industrial policy that focuses on technological upgrading in its existing manufacturing sectors and the creation of competitive advantage in high value-added sectors if the country is to experience sustained long-term economic growth.


Author(s):  
Deepika Dhingra ◽  
Shruti Ashok

The internet of things (IoT) is proving to be a seminal development amongst this century's most productive and pervasive high-tech revolutions. Increased reliance on the internet of things (IoT) is one of the foremost trends, and the financial services industry is a major contributor to that trend. IoT's influence on our daily lives is noteworthy, and it has become imperative for financial services organizations to evolve to adapt to these changes. Digital devices have started to interconnect with each other and possibly with other peripheral entities. Owing to the explosion of these devices and digitization in the banking and financial services industry, businesses are discovering the possibility of IoT in finance to control data and to minimize the risk. This chapter focuses on the impact of internet of things on financial services. It discusses the various applications, trends, challenges, and risks associated with adoption of IoT by financial services institutions. This chapter also discusses Indian and global cases of application of internet of things by financial services institutions.


2005 ◽  
Vol 10 (1) ◽  
pp. 59-75 ◽  
Author(s):  
Michael R. Brenner ◽  
Michel L. F. Grech ◽  
Mohammad Torabi ◽  
Musa R. Unmehopa

Author(s):  
Jarkko Vesa

Now as we have gone through the characteristics of the three case markets, it is time to figure out what our analysis has revealed. In other words, what can we tell about the differences between the Japanese and the European mobile services markets — or more specifically, the Finnish and the UK market? It is time to merge the theoretical discussions of Chapters IV to VI, and the case analyses of Chapters VII to X in order to gain a better understanding of the current structure and the future trends of the mobile data services industry. Let us start by comparing the three markets by using the Double Helix model.


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