Building distributed heterogeneous smart phone Java applications an evaluation from a development perspective

The advances in mobile phone technology have enabled such devices to be programmed to run general-purpose applications using a special edition of the Java programming language. Java is designed to be a heterogeneous programming language targeting different platforms. Such ability when coupled with the provision of high-speed mobile Internet access would open the door for a new breed of distributed mobile applications. This paper explores the capabilities and limitations of this technology and addresses the considerations that must be taken when designing and developing such distributed applications. Our findings are verified by building a test client-server system where the clients in this system are mobile phones behaving as active processing elements not just mere service requesters

Prospective Analysis of the Mobile Health Information Systems in China

With the rapidly growing economy in the past few decades, people of China (mainland) are now enjoying increasingly more economic benefits than ever before. Of many growing technologies, mobile devices, especially cell phones, have been gaining popularity throughout the country. According to the latest statistics in 2007, more than one third of Chinese have cell phones. In addition to the basic uses of voice communication, cell phones have many other promising applications. Particularly, as a pervasive technology, mobile devices offer a great opportunity to deliver health information directly to people with an affordable cost. This paper analyzes the potential of mobile health information systems in China. This prospective analysis will be conducted from four important perspectives: technology, market demand, business model, and government policy

Analysis of Parameters Affecting The Smart Phone Design By Using Fuzzy Kano Model

Mobile phones have been popular by providing with access to the internet based on evolving technology. On the global market, various companies offer different mobile phone designs with various product features. However, the significance of these features with regards to customer expectations and perception is uncertain. For this, within the scope of this study, it is aimed to classify mobile phone design features in the direction of user perception and expectation. This will allow manufacturers to develop customer expectation and perception oriented designs. In the scope of the study, the telephone design parameters were classified by using fuzzy Kano Model and the obtained classification was compared with results obtained from classic Kano Model. Kano Model surveys have been prepared to define the importance of user-oriented features in the mobile phone designs that have been recently introduced to the market and these surveys have been applied to 118 participants between 18-35 years old

Consumer resistance to innovation among public universities' students in Pakistan

Implementations of technological innovations have been playing key roles for firms to grow and survive in the long run particularly in a dynamic and complex market and unstable economic conditions. The success of any innovation in the market which highly depends on consumers could be one of the potential factors behind the failure of the innovation. Research on innovation resistance is still in infancy and effort to describe the resistance as well as understanding the consumers’ resistance to innovation still require in-depth investigations including the context of resistance to innovation. As a response to this problem, this study examines the consumers’ resistance to innovation through measuring the resistance to smartphones. This study is grounded by the resistance to innovation and appraisal theories. In the research framework, this study includes consumers’ characteristics (motivation, self-efficacy, emotion (negative), and attitude towards existing product) and innovation characteristics (relative advantage, perceived risk, complexity, social influence, and price). A cross sectional, survey data was gathered from 307 university students of four public universities in Pakistan via self-administered survey questionnaires. They were statistically tested using PLS (SEM) path modeling. The results demonstrate the concept of consumers’ resistance to innovation in the context of Pakistan. The results also reveal that majority of the main consumers’ and innovation characteristics (complexity, emotion (negative), motivation, price, self-efficacy, social influence, and consumers’ innovativeness (moderator) have significant influence on consumers’ resistance to smartphone. However, three consumers’ and innovation characteristics (relative advantage, perceived risk, and attitude towards existing product) are insignificant with consumers’ resistance to innovation. The significant factors are good predictors of consumers’ resistance to innovation. Based on the findings of the study, the theoretical and practical contributions are described. The limitations of the study are discussed and suggestions for future studies are also deliberately addressed

Two Studies on The Use of Information Technology in Collaborative Planning, Forecasting & Replenishment (CPFR)

In the 1st study, I seek to determine whether there are trends in the coverage of the use of Information Technology in CPFR in support of Supply Chain Management. I look at the way technology is studied along two dimensions. The first dimension is the function within CPFR—Planning, Forecasting or Replenishment. The second dimension is level at which the study addresses use of the technology, whether at the Operational, Tactical or Strategic level. Within this 3x3 matrix, I seek to prove that studies would primarily fall along a line where the higher the level functions should be served by systems which have a longer-term orientation. This was broadly true, along with an emphasis on studies at the strategic level. Additionally, I find an underrepresentation of Forecasting, especially at the strategic level. The 2nd study seeks to determine the factors affecting IT system use for CPFR, in the real world. I examine the factors affecting system use along two dimensions. The first is along the company-level dimension. There are 3 points along the company-level dimension, defined as follows. Strategic use is defined as use by upper level management who are interested in the long term view of the organization and its processes and products. The Tactical use of IT for CPFR includes use by middle managers at a departmental level for medium term decision making. Operational level IT use covers functions which directly affect individual customers and keep the business running day to day. The second dimension along which system use is examined, is the functional-dimension. There are 3 points along this dimension and they are defined as follows. Use of IT for Planning, based on the VICS standard, is usually, but not exclusively under the purview of senior managers to determine what products to manufacture and the features they should have. Forecasting is done mainly by middle-managers in order to move enough products at the right time, to the right paces, while avoiding over-stocking each product. The Replenishment function is the actual process of moving items to the customer as they are ordered on-line or bought from the shelf. This is typically the job of operational logistics personnel such as purchasing and, shipping and delivery, as well as front-line staff such as customer service, shop-floor attendants or cashiers who interface directly with customers. In examining real world IT use for CPFR, I build on Simmonds, Haines & Li (2013) which looks at the trends and gaps in the IT literature as far as use of IT in CPFR was concerned. The aim is to determine whether the literature lines up with reality, or whether researchers are inherently biased when studying how Information Technology is used to support CPFR. A survey instrument was sent to 4000 senior managers in manufacturing and distribution companies. IT use along the STO dimension (Haines, Hough, & Haines, 2010) and its relationship with Industry characteristics (clock-speed of the industry and technological orientation) will be investigated in the context of the Technology Acceptance Model (TAM) (Fred D. Davis, 1989). Product factors (such as demand variability & luxury nature of the product) which drive IT use (Attaran & Attaran, 2007) along the PFR dimension will be investigated in the context of Technology Task Fit Theory (Goodhue & Thompson, 1995). Intra-firm trust (Frazier, Johnson, Gavin, Gooty, & Bradley Snow, 2010) and its effect on use on the PFR dimension, will be looked at with managerial influence within Innovation Diffusion theory (Rogers, 2010) as a basis. Trust issues including confidence of management in competence of workers and confidence of employees in dependability of IT

Understanding reasons behind mobile service platform switching behavior: An inductive analysis from consumer perspective

Why do people switch their mobile phones? What factors make them to stick with their current phones? This thesis' objective is to find out the influences behind consumer mobile phone switching behavior. Academic literature has examined mobile phone switching surprisingly little since the focus has been on mobile phone related adoption research. This thesis aims to fill that gap of lacking mobile phone switching behavior research. An inductive approach is applied on a qualitative data set that was collected from 249 university students from three different continents to determine the consumer expressed reasons to switch and not to switch mobile phones. The results are organized based on consumer responses and examined in the light of PPM framework as well as mirrored to the established adoption literature such as the technology acceptance model and diffusion of innovations framework. The findings suggest that mobile phones of any sort are increasingly switched to smartphones. The main reasons pushing people to switch mobile phones were identified as rational reasons such as dissatisfaction with reliability and advanced functionalities of the device being switched from along with external forced influences. The main reasons pulling towards attractive alternatives were identified as personal desires, advanced functionalities and subjectively perceived factors again along with external social influences. Additionally, brand influence and price value perceptions were pinpointed as pulling clearly towards smartphone adoption. The main elements preventing individuals from wanting to switch their mobile phones were determined as attachment to familiar advanced functionalities and subjectively perceived factors. In a general level, the pull effect is the strongest force leading to switching and the principal causes for this pull effect stem from associations to functional elements of the mobile phones