Mobile data business services can be defined as resources accessed from a mobile device that helps an employee to carry out job-related tasks more effectively and efficiently than previously. In the business market, the greatest benefits will be created through the integration of mobile data services into business processes, e.g. through streamling field service operations with mobile dispatching, as well as through enhancing employees’ personal productivity. This paper considers a potentially more profitable area of service provision represented by the corporate market. Purpose of the study is: 1. Identify the attributes and factors influencing decision to deploy services in the business market; 2. Determine the importance of attributes for 19 industries; 3. Segment customer needs; 4. Prioritize segments according to potential profitability. This study considers High Speed Data services. In order to generate the attributes and factors influencing decision to deploy services the paper considers in the first phase a literature review of factors affecting e-commerce/Internet Technology adoption in business. Purpose of this first part of the study is to identify main attributes influencing adoption of IT by the business segment and to draw a first adoption model. In the Second Phase the study follows the logic of grounded theory (Glaser and Strauss, 1967) by building the research on a multiple-case study methodology (Eisenhardt, 1989). The companies selected are eleven major companies operating on two continents and in different sectors: (1) media broadcasting company; (2) Insurance company; (3) Government and legal document management company; (4) Auto; (5) IT service company; (6) System Technology; (7) Distributor of industrial products; (8) Software vendor and services; (9) Medical products manufacturing; (10) Networking and telecom hardware, (11) Entertainment. In this phase we test the attributes and factors emerging in the previous phase of the study in order to evaluate the importance of technology and non-technology factors for each company analyzed. The results emerging from the analysis allow us to define the attributes importance and the correlations between attributes (Pearson correlation). Through the Principal Component Analysis three components were identified: 1. Technology (bandwidth, security, scalability, connectivity); 2. Macro economic component – (reliability, digital standards, technology suitability); 3. Micro economic component (supportability). In the third part of the study the attributes are tested on a sample of 1.545 companies operating in 19 industries across the USA and 5 countries in Europe.
Determinants of adoption of HSD (High Speed Data) services in the business market
PAGANI, MARGHERITA
2005
Abstract
Mobile data business services can be defined as resources accessed from a mobile device that helps an employee to carry out job-related tasks more effectively and efficiently than previously. In the business market, the greatest benefits will be created through the integration of mobile data services into business processes, e.g. through streamling field service operations with mobile dispatching, as well as through enhancing employees’ personal productivity. This paper considers a potentially more profitable area of service provision represented by the corporate market. Purpose of the study is: 1. Identify the attributes and factors influencing decision to deploy services in the business market; 2. Determine the importance of attributes for 19 industries; 3. Segment customer needs; 4. Prioritize segments according to potential profitability. This study considers High Speed Data services. In order to generate the attributes and factors influencing decision to deploy services the paper considers in the first phase a literature review of factors affecting e-commerce/Internet Technology adoption in business. Purpose of this first part of the study is to identify main attributes influencing adoption of IT by the business segment and to draw a first adoption model. In the Second Phase the study follows the logic of grounded theory (Glaser and Strauss, 1967) by building the research on a multiple-case study methodology (Eisenhardt, 1989). The companies selected are eleven major companies operating on two continents and in different sectors: (1) media broadcasting company; (2) Insurance company; (3) Government and legal document management company; (4) Auto; (5) IT service company; (6) System Technology; (7) Distributor of industrial products; (8) Software vendor and services; (9) Medical products manufacturing; (10) Networking and telecom hardware, (11) Entertainment. In this phase we test the attributes and factors emerging in the previous phase of the study in order to evaluate the importance of technology and non-technology factors for each company analyzed. The results emerging from the analysis allow us to define the attributes importance and the correlations between attributes (Pearson correlation). Through the Principal Component Analysis three components were identified: 1. Technology (bandwidth, security, scalability, connectivity); 2. Macro economic component – (reliability, digital standards, technology suitability); 3. Micro economic component (supportability). In the third part of the study the attributes are tested on a sample of 1.545 companies operating in 19 industries across the USA and 5 countries in Europe.
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