India: a Case of Fragile Wireless Service and Technology Adoption?

Wireless penetration and the Indian economy have grown significantly over the past few years, but how robust and sustainable is the adoption of wireless services and products? Several papers have discussed India as a wireless service and product market, and sometimes tried to assess quantitative attributes thereof. The present paper aims instead at looking, from a management point of view, at the unique underlying evolution processes, bottlenecks and risks. On specific facets, a comparison is given to adoption indicators in other key markets such as China.For example, just to illustrate highlights of these unique attributes , it is indeed surprising that such a major economy with its very large population has not yet achieved the wireless service usage and mobile terminal penetration ratios of neither an early European adopter ,nor of a recent large scale adopter like China or Russia . India has also been characterised by a surprising regulatory development process quite different from many other contexts, both in terms of its both centralised and regional structure, of very low tariffs providing almost no ROI to investors in a stable situation, and of absence of neutrality across communications technologies. At the same time, a very large fraction of the population has not , for affordability and regional coverage reasons, been able to get the access opportunities of more developed regions , leading to a distribution unbalance which is also a significant opportunity .Also , the wireless service and product adoption pattern in India , specific to communicating services , has so far been in rather sharp contrast with the widely known software and outsourcing services industry evolutions in that country .Therefore it is important to compare the most relevant known wireless service and product adoption theories, to establish from facts whether they apply in the Indian context, and, if not, suggest new or mixed theories able to explain all such facts and cast some light into its likely future structural evolution. It is of high relevance in management to validate if indeed established models apply or not in a significant case like India, just as it is also of high relevance for the main stakeholders to identify methodology able to support their analyses.The paper first provides background information on wireless, fixed, and other operators, on wireless penetration, on telecommunications infrastructure and investments, and on Indian human capital. Thereafter is analyzed in detail the relevance, or not, of five traditional technology adoption models across the Indian user base: the absorption business model, the perceived benefits business model, consumer attitudes, the globalisation business model, and finally the brand management business model. These first analyses are followed by the identification and detailed analysis of five other business models or structural processes, some rather unique to India: the two-tier migration model, large scale imported adoption without a telecommunications infrastructure & terminals industry, unstable adoption with lack of consistent public policies, knowledge sharing and productivity enhancement adoption model, and finally late foreign capital investments into a large emerging market.From the comparison of facts and background data , with these ten wireless service and product adoption models , the paper establishes which are not relevant, and which are too some degree . Furthermore the relevant business models are shown to share, further attributes of sustainability (or not) and dynamic behaviour. This allows concluding that India has had an overall quite fragile adoption and deployment path with growing tensions such as coverage, quality of service and affordability disparities. The model comparison also allows to diagnose the key three structural measures needed to reach a sustainable equilibrium from the business, economic and social points of view.India;Mobile communications;Adoption;Business models;Economic development;Infrastructure;Manufacturing;Mobile terminals;Wireless

Occidental Versus Oriental I.S. Professionals\u27 Perceptions on Key Factors for Motivation

A comparison of perceptions of analysts and programmers in Singapore versus the United States identifies many more similarities than dissimilarities. The Singapore sample consisted of 1,179 persons (31% of the entire I. S. population). The U. S. data base is comprised of more than 8,000 persons. Similarities were statistically significant on 9 of 12 factors compared for system analysts and on five of 13 factors compared for programmers. On six of the eight factors where programmers are significantly different, changes underway have a strong likelihood of eliminating those differences. On the most important factor that distinguishes I.S. professionals in the U.S from other U.S. professionals, individual growth need strength (GNS), Singaporean I.S. professionals are not significantly different from their U.S. counterparts. This is the first of six studies comparing American I.S. professionals to I.S. professionals in Singapore, that they perceive motivational issues much like their American counterparts

India: a Case of Fragile Wireless Service and Technology Adoption?

Wireless penetration and the Indian economy have grown significantly over the past few years, but how robust and sustainable is the adoption of wireless services and products? Several papers have discussed India as a wireless service and product market, and sometimes tried to assess quantitative attributes thereof. The present paper aims instead at looking, from a management point of view, at the unique underlying evolution processes, bottlenecks and risks. On specific facets, a comparison is given to adoption indicators in other key markets such as China. For example, just to illustrate highlights of these unique attributes , it is indeed surprising that such a major economy with its very large population has not yet achieved the wireless service usage and mobile terminal penetration ratios of neither an early European adopter ,nor of a recent large scale adopter like China or Russia . India has also been characterised by a surprising regulatory development process quite different from many other contexts, both in terms of its both centralised and regional structure, of very low tariffs providing almost no ROI to investors in a stable situation, and of absence of neutrality across communications technologies. At the same time, a very large fraction of the population has not , for affordability and regional coverage reasons, been able to get the access opportunities of more developed regions , leading to a distribution unbalance which is also a significant opportunity .Also , the wireless service and product adoption pattern in India , specific to communicating services , has so far been in rather sharp contrast with the widely known software and outsourcing services industry evolutions in that country . Therefore it is important to compare the most relevant known wireless service and product adoption theories, to establish from facts whether they apply in the Indian context, and, if not, suggest new or mixed theories able to explain all such facts and cast some light into its likely future structural evolution. It is of high relevance in management to validate if indeed established models apply or not in a significant case like India, just as it is also of high relevance for the main stakeholders to identify methodology able to support their analyses. The paper first provides background information on wireless, fixed, and other operators, on wireless penetration, on telecommunications infrastructure and investments, and on Indian human capital. Thereafter is analyzed in detail the relevance, or not, of five traditional technology adoption models across the Indian user base: the absorption business model, the perceived benefits business model, consumer attitudes, the globalisation business model, and finally the brand management business model. These first analyses are followed by the identification and detailed analysis of five other business models or structural processes, some rather unique to India: the two-tier migration model, large scale imported adoption without a telecommunications infrastructure & terminals industry, unstable adoption with lack of consistent public policies, knowledge sharing and productivity enhancement adoption model, and finally late foreign capital investments into a large emerging market. From the comparison of facts and background data , with these ten wireless service and product adoption models , the paper establishes which are not relevant, and which are too some degree . Furthermore the relevant business models are shown to share, further attributes of sustainability (or not) and dynamic behaviour. This allows concluding that India has had an overall quite fragile adoption and deployment path with growing tensions such as coverage, quality of service and affordability disparities. The model comparison also allows to diagnose the key three structural measures needed to reach a sustainable equilibrium from the business, economic and social points of view

Uncoupling mobility and learning: When one does not guarantee the other

Mobile learning was an embedded component of the pedagogical design of an undergraduate course, Digital media and society. In the final semester of 2010 and the first semester of 2011, 135 students participated in an empirical study inquiring into their perceptual experience of mobile learning. To control for access to technology, an optional iPad student loan scheme was used. The iPads were loaded with an electronic textbook and a mobile application of the learning moderation system. Eighty students participated in ten-person focus groups. Feedback on mobility and the electronic text was positive and optimistic. However, the majority of students were not convinced that the trial made a difference to their learning. This result was interpreted to indicate that the presence or absence of mobile devices does not guarantee or preclude student learning. © 2011 Springer-Verlag

HCI research at the institute of systems science

10.1145/108844.109014Conference on Human Factors in Computing Systems - Proceedings483-48

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