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Exploring technology acceptance

Exploring technology acceptance for mobile services, Telecommunication industries especially in mobile phones are moving into era where data and video usages will be as important as voice usages. In other words, it is slightly moving from mere communication-oriented services such as voice calls to more complex content-oriented services (Vesa, 2005). Nowadays, Mobile Phones are not used for voice services only, but also for data services such as: texts messaging, gaming, download music, payment services, etc. Therefore, the future of the mobile telecommunications is expected to count on mobile services(Carlsson et al., 2006). Mobile services are expected to be a remediation for the declining of average revenue per user (ARPU) in telecommunication market (Knutsenet al., 2005). Another study also emphasizes that the future of telecommunications sector will be depending on mobile internet services development in addition to voice services(Bouman et al., 2006). It is believed that the market of mobile data services is likely to scale up in the future. The main goal of this paper is to identify the factors affecting the adoption of mobile services and proposed a framework to enhance TAM (Technology Acceptance Model) that will represent the factors that influence mobile services adoption. This paper will try to understand how and why people adopt mobile services (Carlssonet al., 2006). The framework is expected to help industry players when designing their services and defining their current and future business models. The second part of this paper is going to investigate the literature review from Technology Acceptance Model (TAM), Diffusion of Innovations, Technology of Planned Behavior, etc. The factors that might affect the adoption in mobile services will also be examined through literature review. The third part is going to talk about the Analytical Hierarchical Process (AHP) model of the adoption of mobile services. Part four will discuss the research methodology and data collections method. Results and Conclusions are going to be explained in fifth and sixth part respectively.

 

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Use of computers and applications

Use of computers and applications by senior executives, The information and communication technologies (ICTs) have increased the productivity of various groups with in organisations, but one of the groups that has adopted ICTs least is that of senior executives. The aim of the present paper is to analyse the factors that affect the use of ICTs by senior executives, gathering them together within a reference framework that willenable us to take them into account when implementing systems intended for this group. If senior executives adopted ICTs more widely, they would increase their productivity.The beginnings of the relationship between ICTs, executives and decision making can be traced back to the times of the first computers. Over the years several arguments have been put forward to explain the lack of computer use among executives, including: their poor keyboard skills, their lack of training and experience in computer use, and even concern about their status, as they felt that using a computer was not part of their job, along with a set of other reasons related to the alternative between the flexibility or simplicity of systems, that is, if systems were inflexible or over-simple they added no value. But there are other cases in which executives overcome these reasons, for example that of Lockheed-Georgia (Houdeshel & Watson,1987). In the mid 1950s, it was the opinion of most scientists that computers would have a notable impact on scientific calculation (e.g., in astronomy and the military sphere). A few (including Russell Ackoff, John Diebold and J.W. Forrester) agreed that computers would, in the immediate future, revolutionise the work of executives in policies, strategyand decision making (Drucker,1998). The possibility that computers and applications would affect the way executives work was already anticipated. Although computers existed before this date, 1965 marked an unprecedented change when IBM presented their System/360 family. At that moment, scientists began to ask themselves how computers might help humans to improve decision making. Collaborations between scientists at the Carnegie Institution, together with Marvin Minsky of the Massachusetts Institute of Technology and John McCarthy of Stanford University, developed the first cognitive computer models, which were the embryo of artificial intelligence (Buchanan & O’Connell,2006).

The paper starts with a description of the methodology and a literature review to establish a definition of the senior executive. We then go on to examine the various research projects that have been carried out on the use of applications or computers by senior executives, and conclude with a proposal of what we consider to be the keyfactors in the development of applications intended for senior executives.As we will see presently, the key factors are related to the senior executives themselves, the system or application, and the project

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Data envelopment analysis

Assessment of academic departments efficiency using data envelopment analysis, Higher education is the backbone of development and economic growth in any country. Given that the academic institutions are responsible for the capacity building required for a country’s long-term plans, the educational system in particular, is one of the pillars a country depends on to increase its productivity and thus efficiently implement its strategic plans. There is no doubt that an efficient system of institutions of higher education is crucial to providing the necessary profession manpower of scientists, engineers, doctors, and teachers. Therefore, there is a need to assess the efficiency of the educational institutions, and whether the high cost being spent on them is worthwhile. Further, it is necessary to have standards by which all educational institutions could be questioned through the evaluation of efficiency of using resources (Inputs) and achieving the goals (Outputs) for which these resources were spent. From 1948 to 1967, there were no higher education institutions in Gaza Strip, therefore most of Gazan students used to study at Egyptian universities without any obstacles. After Gaza Strip was occupied in 1967, Gazans found great difficulties in sending their sons and daughters to study abroad. Hence, the idea of establishing the Islamic University was coined. The Islamic University in Gaza (IUG) was established in 1978. Till 1991, the Islamic University was the sole university in Gaza Strip. It started with three faculties:Faculty of Shariah (Islamic Law), Faculty of Ussoul Eldeen (religious foundation), and the Faculty of Arabic language, which later became the Faculty of Arts. Due to the need of Palestinian society for other disciplines, Faculty of Education, Faculty of Commerce and Faculty of Sciences were established in 1980. In 1991, the Faculty of Engineering was established, and at the beginning of the academic year 1992-1993, the Faculty of Nursing was established and the Faculty of medicine witnessed its birth at the beginning of the academic year 2006-2007. Throughout those years, IUG witnessed a remarkable growth in its academic and administrative staff, as well as in its students and graduates. This growth was associated with the expanding of its facilities, units, laboratories and services in the field of scientific research, community development, in addition to its national, regional and international relations. Data Envelopment Analysis (DEA) is a relatively new data-oriented approach for evaluating the technical efficiency of a set of peer entities called Decision Making Units (DMUs). DEA provides a single measure and easily deals with multiple inputs and multiple outputs. Since the DEA technique was first developed, it has been widely applied to industries asdiverse as health care (Bhat,Verma,& Reuben, 2001; Jacobs,Smith, &Street, 2006), Banking (Hassan &Sanchez, 2007), and transportation (Pathomsiri, 2006) and many other industries and organizations. Further, DEA-approach has proved especially valuable in cases where we have non-marketed inputs or outputs and/or cannot be derived or agreed upon among different DMUs. In this study, DEA is used to assess the efficiencies of the academic departments (DMUs) at IUG.

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RFID the key to optimality

RFID the key to optimality, According to Visich, Li andKhumawala (2007), “When customers return their purchases to retailers for refund, repair or a recall, an upstream movement of goods occurs from the retailer to manufacturer. This upstream movement of product returns is termed as reverse supply chain”. Reuse of products and materials become essential from two aspects. On the one hand, economical issues of reusing encourage manufacturers to find ways to ensure the return of their manufactured products after a period of time and give them the advantage to reuse and make more profit. On the other hand, nowadays environmental issues become a critical concern for any decision. Therefore manufacturers have to find some ways to be more “Green”; otherwise they may lose those customers concerned about environment, besides governments give more support to the Green manufacturers. But since Reverse Logistics (RL) are more complex compare to forward logistics (Poole, 2003), the information management becomes the key to create an efficient supply chain (Jayaraman, Ross,& Agarwal, 2008). Research by Guide, Harrison andVan Wassenhove (2003) states that ”Managers must take actions to reduce uncertainty in the timing and quantity of returns, balance return rates with demand rates, and make material recovery more predictable. Managers must also plan for the collection of products from end users. Theuse of information systems with new production-planning and control techniques makes management of those activities more predictable.” Most of the papers investigating RL have mentioned this complexity resulting from uncertainties and suggested solutionsfrom the point of IT. But in this paper the characteristics of RFID are considered specifically in order to reduce uncertainties and a model is suggested to show the impact of the advantages of RFID on RLSC

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Terowongan Jalan Terendam Terpanjang di Dunia

Terowongan Jalan

Pekerjaan telah dimulai di Terowongan Jalan Fehmarnbelt yang sangat ditunggu-tunggu, menghubungkan Denmark dan Jerman. Terowongan Jalan sepanjang 18 km akan turun hingga kedalaman 40 m di bawah Laut Baltik dan akan menjadi terowongan terendam terpanjang di dunia untuk jalan raya dan rel kereta api.

Secara resmi disebut Fehmarnbelt Fixed Link, terowongan ini adalah salah satu proyek infrastruktur terbesar di Eropa dengan anggaran konstruksi lebih dari € 7 miliar ($ 8,2 miliar). Sebagai perbandingan, Terowongan Saluran sepanjang 50 km yang diselesaikan pada tahun 1993 menelan biaya yang setara dengan $ 15,5 miliar untuk nilai saat ini.

Meskipun lebih panjang dari Terowongan Fehmarnbelt, Terowongan Channel dibangun dengan menggunakan mesin bor. Sebaliknya, Terowongan Fehmarnbelt akan terdiri dari segmen beton berlubang yang dilemparkan di darat, ditenggelamkan ke posisi akhirnya di dasar laut, dan dihubungkan bersama untuk membentuk terowongan.

Terowongan Fehmarnbelt adalah lambang desain inovatif dengan menantang standar bangunan terowongan yang ada. Sistem ventilasi longitudinal perintis serta fitur keselamatan dan keamanan mutakhir meningkatkan fungsionalitas terowongan secara keseluruhan.

Setiap elemen terowongan akan memiliki berat 73.000 ton dan akan berlubang serta ditutup dengan sekat agar dapat mengapung di air. Sebanyak 79 elemen individu dan sepuluh elemen khusus akan dirakit untuk menyelesaikan terowongan.

Terowongan itu akan memiliki jalan raya empat jalur dan rel kereta api berlistrik ganda untuk menghubungkan Rødbyhavn di Denmark dengan Puttgarden di Jerman. Ini akan berfungsi sebagai alternatif layanan feri saat ini antar tempat untuk mengurangi waktu penyeberangan dari 45 menit menjadi hanya tujuh menit dengan kereta api dan sepuluh menit dengan mobil. Ini juga akan mempersingkat perjalanan kereta api antara Hamburg dan Kopenhagen dari sekitar empat setengah menjadi hanya tiga jam.

Proyek ini diharapkan akan memasuki tahap produksi aktual dari bagian terowongan pada tahun 2023. Proyek ini diharapkan akan dibangun dalam 8,5 tahun, dengan pembukaan dijadwalkan pada tahun 2029.