Factors affecting the adoption of information and communication technology in small and medium enterprises: a perspective from rural Saudi Arabia

ABSTRACT

Small and medium enterprises (SMEs) can play an important role in the national economy of developing countries. The adoption of information and communication technology (ICT) has enabled local SMEs to participate in the international market. However, little research has addressed issues related to SMEs adopting ICTs, especially in rural areas of Middle Eastern developing countries such as Saudi Arabia. Using the extended technology-organization-environment framework with personal innovativeness, this study examined the factors that influence the adoption of ICTs among SMEs in rural areas of Saudi Arabia. The study found that relative advantages, top management support, culture, regulatory environment, owner/manager innovativeness and ICT knowledge had a significant relationship with ICT adoption among SMEs in Saudi Arabia, whereas compatibility, complexity and a competitive environment had no significant relationship with ICT adoption. The findings of this study will potentially help SME managers/owners and the Saudi government in the successful adoption and diffusion of ICT in SMEs located in rural areas in Saudi Arabia.     

The influence of attitudes on personal computer utilization among knowledge workers: the case of Saudi Arabia

Since the introduction of personal computers (PCs) in the early 1980s, Saudi Arabia has made major investments in PCs to match its rapidly growing economy. As a result, the PC business has become one of the fastest growing sectors in the Kingdom of Saudi Arabia.Our paper reports on the results of a study which investigates the relationships between end-users' attitudes and PC utilization among knowledge workers in the context of Saudi Arabia. To gain a better understanding of the factors that influence the use of PCs, we adopted Triandis' theory which suggests that behavior is determined by attitudes, social norms, habits and expected consequences of behavior. Our study is based on previous efforts to test the theory's validity in Saudi Arabia.Our results suggest that PC utilization is determined by individual attitudes, personal characteristics, such as PC experience, facilitating conditions, such as PC access and social factors. We also observed that respondents to our questionnaire differ in the level of importance they attribute to the factors hypothesized as influencing PC utilization compared to Canadian respondents in a previous study.     

MODIS satellite data evaluation for sand and dust storm monitoring in Saudi Arabia

ABSTRACT

The impacts of wind-blown desert sand and dust are a major concern of environmental and climate study due to their global extent. This article investigates the sand and dust storms detection in Saudi Arabia using Moderate Resolution Imaging Spectroradiometer (MODIS) data, both from Terra and Aqua satellite systems for the years 2002–2011. Normalized Difference Dust Index (NDDI) is applied for the detection of sand and dust storms whilst MODIS band 31 is applied to discriminate atmospheric sand and dust from that present on the ground. In addition, the data from Meteosat satellite, AERONET station, and meteorological stations are used to validate NDDI-based sand and dust storm events. The results of the study show that NDDI can successfully identify and differentiate sand and dust storms from clouds whilst MODIS band 31 can discriminate aerial and surface sand and dust over Saudi Arabia. The results also show that the multi-source data, that is MODIS, Meteosat, AERONET, and meteorological stations, can be very valuable for tracking sand and dust storm events. As no such attempt in the past has been made in Saudi Arabia, it is envisaged that the results of this study will be helpful in planning remote-sensing data for the climate change study in the region.     

Online socializing: How does it affect the information seeking behavior and the educational preferences in Saudi Arabia?

There are three major issues, among others, associated with the rapid adoption of information technology in Saudi Arabia. These are the changes in online socializing (through Social Media), the information seeking behavior, and the eLearning developments in the local academic institutions. In this causal exploratory research study the main idea was to find the effect of the changes of the former on the latter two. Saudi Arabia is the geographic scope of the study as the most important and influential country in the region. A pre-tested and moderated questionnaire, administered both on- and offline, was used to gather the relevant data. Findings indicate a shift from the conventional to the online information seeking behaviors and a preference of a blended educational system, both traditional (classroom) and eLearning or similar, despite the deep and dramatic penetration of social media in the country that could lead to the false assumption that the local population, especially young people, would turn their back on the conventional education processes.     

Barriers to the adoption of social networking sites in Saudi Arabia's higher education

ABSTRACT

Social networking sites are increasingly being repurposed as academic tools in higher education institutions. In this context, social networking sites are used to support a number of key academic functions, including the sharing of ideas between students and academic staff, the forming of dedicated study groups, the exchange of links and other academic objects and self-publication. While these tools are readily being adopted in mainstream Western contexts, little is currently known regarding whether – and how – social networking sites are used in other geo-cultural regions. This study sought to redress this research gap by investigating what might constitute barriers to the adoption of social networking in higher education in Saudi Arabia from the students’ perspective. The study was based on the analysis of results derived from focus group discussions with university students at four Saudi Arabian universities. The research found that Saudi Arabian students are aware of, and welcome, social networking sites and are starting to use them for academic purposes in the same way that university students do in more mainstream contexts. However, the study did identify a range of barriers to uptake as highlighted by focus group participants.     

Analyzing the Implications of COVID-19 Pandemic through an Intelligent-Computing Technique

The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2 virus or COVID-19) disease was declared pandemic by the World Health Organization (WHO) on March 11, 2020. COVID-19 has already affected more than 211 nations. In such a bleak scenario, it becomes imperative to analyze and identify those regions in Saudi Arabia that are at high risk. A preemptive study done in the context of predicting the possible COVID-19 hotspots would facilitate in the implementation of prompt and targeted countermeasures against SARS-CoV-2, thus saving many lives. Working towards this intent, the present study adopts a decision making based methodology of simulation named Analytical Hierarchy Process (AHP), a multi criteria decision making approach, for assessing the risk of COVID-19 in different regions of Saudi Arabia. AHP gives the ability to measure the risks numerically. Moreover, numerical assessments are always effective and easy to understand. Hence, this research endeavour employs Fuzzy based computational method of decision making for its empirical analysis. Findings in the proposed paper suggest that Riyadh and Makkah are the most susceptible regions, implying that if sustained and focused preventive measures are not introduced at the right juncture, the two cities could be the worst afflicted with the infection. The results obtained through Fuzzy based computational method of decision making are highly corroborative and would be very useful for categorizing and assessing the current COVID-19 situation in the Kingdom of Saudi Arabia. More specifically, identifying the cities that are likely to be COVID-19 hotspots would help the country’s health and medical fraternity to reinforce intensive containment strategies to counter the ills of the pandemic in such regions.     

The accessibility of Saudi Arabia government Web sites: an exploratory study

This study is intended to provide an exploratory evaluation of Saudi Arabia government Web sites based on the Web Accessibility Guidelines 2.0 provided by the W3C. The results indicate that the Saudi government Web sites have made many of the accessibility mistakes as predicted. In the light of the study findings, this paper will present some recommendations for improving Saudi government Web sites, as well as discuss future implications.     

Qualified,But Not Choosing STEM at University: Unconscious Influences on Choice of Study

Abstract

This article offers explanations as to why good candidates for mathematics or physics degrees might opt to study subjects other than STEM (science, technology, engineering, mathematics) subjects at university. Results come from analysis, informed by psychoanalytic theory and practice, of narrative-style interviews conducted with first-year undergraduates and from survey data. It is argued that psychoanalytic interpretations have a role in educational research. Also, it is shown that unconscious forces influenced young peoples’ decision making. Implications for policy are discussed, in particular, the issues of (a) the role of commitment and (b) being good enough to study a STEM discipline.     

Prediction of COVID-19 Pandemic Spread in Kingdom of Saudi Arabia

A significant increase in the number of coronavirus cases can easily be noticed in most of the countries around the world. Inspite of the consistent preventive initiatives being taken to contain the spread of this virus, the unabated increase in the cases is both alarming and intriguing. The role of mathematical models in predicting and estimating the spread of the virus, and identifying various preventive factors dependencies has been found important and effective in most of the previous pandemics like Severe Acute Respiratory Syndrome (SARS) 2003. In this research work, authors have proposed the Susceptible-Infectected-Removed (SIR) model variation in order to forecast the pattern of coronavirus disease (COVID-19) spread for the upcoming eight weeks in perspective of Saudi Arabia. The study has been performed by using SIR model with a proposed simplification using average progression for further estimation of β and γ values for better curve fittings ratios. The predictive results of this study clearly show that under the current public health interventions, there will be an increase in the COVID-19 cases in Saudi Arabia in the next four weeks. Hence, a set of strong health primitives and precautionary measures are recommended in order to avoid and prevent the further spread of COVID-19 in Saudi Arabia.     

User oriented techniques to support interaction and decision making with large educational databases

Information Technology is developing rapidly and providing policy/decision makers with large amounts of information that require processing and analysis. Decision support systems (DSS) aim to provide tools that not only help such analyses, but enable the decision maker to experiment and simulate the effects of different policies and selection strategies. The specific context of this research, set in Saudi Arabia, is administrative decision making using large educational databases.     

Ontological reasoning in the design space exploration of advanced cyber–physical systems

Cyber–physical systems are becoming increasingly complex. In these advanced systems, the different engineering domains involved in the design process become more and more intertwined. Therefore, a traditional (sequential) design process becomes inefficient in finding good design options. Instead, an integrated approach is needed where parameters in multiple different engineering domains can be chosen, evaluated, and optimized to achieve a good overall solution. However, in such an approach, the combined design space becomes vast. As such, methods are needed to mitigate this problem.In this paper, we show a method for systematically capturing and updating domain knowledge in the context of a co-design process involving different engineering domains, i.e. control and embedded. We rely on ontologies to reason about the relationships between parameters in the different domains. This allows us to derive a stepwise design space exploration workflow where this domain knowledge is used to quickly reduce the design space to a subset of likely good candidates. We illustrate our approach by applying it to the design space exploration process for an advanced electric motor control system and its deployment on embedded hardware.     

Software fault prediction metrics: A systematic literature review

ContextSoftware metrics may be used in fault prediction models to improve software quality by predicting fault location.ObjectiveThis paper aims to identify software metrics and to assess their applicability in software fault prediction. We investigated the influence of context on metrics’ selection and performance.MethodThis systematic literature review includes 106 papers published between 1991 and 2011. The selected papers are classified according to metrics and context properties.ResultsObject-oriented metrics (49%) were used nearly twice as often compared to traditional source code metrics (27%) or process metrics (24%). Chidamber and Kemerer’s (CK) object-oriented metrics were most frequently used. According to the selected studies there are significant differences between the metrics used in fault prediction performance. Object-oriented and process metrics have been reported to be more successful in finding faults compared to traditional size and complexity metrics. Process metrics seem to be better at predicting post-release faults compared to any static code metrics.ConclusionMore studies should be performed on large industrial software systems to find metrics more relevant for the industry and to answer the question as to which metrics should be used in a given context.     

Promoting collaborative skills in online university: comparing effects of games,mixed reality,social media,and other tools for ICT-supported pedagogical practices

ABSTRACT

This article analyses the development of collaborative skills through nine tools for information and communication technologies (ICT)-supported pedagogical practices, which are used in online universities. Using survey data for 930 online students at the Open University of Catalonia and partial least squares path modelling estimation techniques, three main findings emerged from the study. First, collaborative skills are directly explained by gamification and the use of mixed reality and social media in a socio-technical online learning context. Second, other tools for ICT-supported pedagogical practices (media content, wikis, open educational resources, personal webpages, personal cloud, and sharing files with fellow students and lecturers on the cloud) are not significant on collaborative skills development, when compared to use of games, mixed reality, and social media. Third, the analysis of indirect effects suggests that all four socio-technical factors (ICT, learning tasks, students, and organisation) existing in online university play a decisive, positive and significant role in collaborative skills development. Finally, these results are shown in science, technology, engineering, and mathematics (STEM) and non-STEM studies. Thus, gamification, mixed reality, and sharing files are significant ICT-supported pedagogical practices in STEM studies. On the other hand, gamification is the only significant tool in non-STEM studies. Results are very useful for new approaches to design a framework for learning-team effectiveness in computer-supported collaborative learning.     

基于多代理系统的软硬件协同设计

为使软硬件协同设计过程更具分布性、自主性及并行性,在软硬件协同设计中引入多代理(MAS)技术,提出软硬件协同设计的MAS模型,包括系统描述Agent、软硬件划分及映射Agent、软硬件设计Agent、协同通信Agent、性能评估Agent和硬件系统测试Agent的构建和应用。采用多个目标代理映射、协商的方法协调整个协同设计过程。实际应用表明,该方法能优化系统级芯片设计方案、软硬件结构和功能,并提高系统整体性能。     

A cellular automata model for circular movements of pedestrians during Tawaf

Masjid Al-Haram in Saudi Arabia is one of the most crowded pilgrimage locations in the world. More than two million pilgrims gather in Saudi Arabia annually during the Hajj season, and it is compulsory for them to perform a series of actions in the mosque. In the court area, pilgrims perform one of the most important rituals of Hajj, called Tawaf, which consists of seven laps of circular movement around the Kaabah, which is situated in the centre of the court. After the Tawaf, pilgrims pray in the court and leave from one of several doors. In this paper, we present a cellular automata model for the simulation of the pilgrims’ circular Tawaf movement. We also use a discrete-event model to simulate the actions and behaviours of the pilgrims. The proposed models are used in a software platform to simulate the actions and movements of pilgrims in the area. We then present an example application of the model in predicting whether specific changes to the architecture could increase the throughput of the system.     

Knowledge workers' use of support software in Saudi Arabia

The study reports from a survey, in Saudi Arabia, of the use of applications software by knowledge workers. Results indicate that user productivity is positively related to satisfaction and negatively to alienation. Knowledge workers in Saudi Arabia generally use low-end applications software. Expert Systems and 4 GL's are rarely used in a micro-environmnet. Informal knowledge sources are more significantly correlated with higher proficiency and productivity of knowledge workers than are the formal sources. Computer periodicals are an important information source for successful users. Younger knowledge workers are more productive than the older ones. Sharing with others has a negative effect on productivity. Implications of the use of applications software by knowledge workers in developing countries are discussed.     

Control co-design of 13 MW downwind two-bladed rotors to achieve 25% reduction in levelized cost of wind energy

Wind energy is recognized worldwide as cost-effective and environmentally friendly and is among the fastest-growing sources of electrical energy. To further decrease the cost of wind energy, wind turbines are being designed at ever larger scales, which is challenging due to greater structural loads and deflections. Large-scale systems such as modern wind turbines increasingly require a control co-design approach, whereby the system design and control design are performed in a more integrated fashion. We overview a two-bladed downwind morphing rotor concept that is expected to lower the cost of energy at wind turbine sizes beyond 13 megawatts (MW) compared with continued upscaling of traditional three-bladed upwind rotor designs. We describe an aero-structural-control co-design process that we have used in designing such extreme-scale wind turbines, and we discuss how we were able to achieve a 25% reduction in levelized cost of energy for our final turbine design compared to a conventional upwind three-bladed rotor design.     

Online and physical appropriation: evidence from a vignette experiment on copyright infringement

ABSTRACT

In this study, we use a vignette experiment to inquire which features of online piracy make it ethically discernible from traditional theft. We find that the actual loss incurred by a victim, and especially a loss of a physical object have particularly strong bearing on ethical evaluation. Interestingly, in contrast to the claims that norms are inherently rotten in computer-mediated interaction, the patterns of ethical judgment in the online and offline contexts are very similar. These are mostly the characteristics of the deed themselves that explain differences in ethical judgment and not a different perception of these characteristics in the online context. We interpret these findings in the context of legal regulations and the design of anti-piracy campaigns.     

Multidisciplinary Perspectives on a Video Case of Children Designing and Coding for Robotics

ABSTRACT

Spatial reasoning plays a vital role in choice of and success in science, technology, engineering, and mathematics (STEM) careers, yet the topic is scarce in grade school curricula. We conjecture that this absence may be due to limited knowledge of how spatial reasoning is discussed and engaged across STEM professions. This study aimed to address that gap by asking 19 professionals to comment on a video that documented children's progression through 5 days of building and programming robots. Their written opinions on the skills relevant to their careers demonstrated by the children revealed that spatial thinking and design thinking are central to what they see.     

An application mechanism for a GIS-based maintenance system: The case of KFUPM

Maintenance of available facilities is highly dependent upon the efficient use and manipulation of a huge amount of spatial data. The recent past has observed a world-wide increase in the use of computers to effectively maintain the available facilities. In this context Geographic Information Systems (GIS) have evolved as an efficient tool to improve the efficiency in the daily affairs of maintenance. The current manual technique used in most large establishments to handle spatial data is inefficient, time consuming, difficult to use and quite expensive. The maintenance department is a major area which uses the same manual technique in solving its day-to-day problems. This study is an endeavor to develop an application mechanism for a GIS-based maintenance system based on a study at King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.