Internet of Things Infrastructures in Academic Libraries: A Case Study in Iran

2021 ◽  
Vol 20 (Supp01) ◽  
pp. 2140007
Author(s):  
Abbas Harati ◽  
Maryam Shekofteh ◽  
Saeideh Valizadeh-Haghi ◽  
Maryam Kazerani
Keyword(s):  
Internet Of Things ◽  
Academic Libraries ◽  
Reliability And Validity ◽  
State Universities ◽  
Average Score ◽  
Statistical Population ◽  
Depth Study ◽  
Moderate Condition ◽  
Descriptive Survey

Internet of Things (IoT) is going to create many changes in libraries. However, its application in libraries requires the use of various infrastructures. This paper aims to determine IoT infrastructures in academic libraries and examine them in Iranian academic libraries. This is a descriptive survey with two qualitative and quantitative approaches. The statistical population consists of 15 central libraries of state universities of Tehran in 2018. The infrastructures needed to apply this technology in libraries were extracted through an in-depth study method and based on which a researcher-made questionnaire was designed and its reliability and validity were confirmed. The questions were answered in three parts by managers, library staffs, and IT specialists Data analysis was done using descriptive statistics and SPSS software. A total of 4 infrastructures and 42 components were obtained for IoT in libraries. The results showed that the studied libraries, having 60.53% of the required infrastructures are in moderate condition. Technical, financial, legal and human resource infrastructures, respectively, with an average score of 64.85%, 63.7%, 71.23%, and 64.7% are also in moderate condition. The studied libraries are in moderate condition in terms of the required infrastructures for using IoT and are still far from ideal. It is suggested that the identified weaknesses and shortcomings will be addressed by managers and authorities in order to provide the basis for using this technology.

Study on Barriers to Knowledge Management Implementation in Iranian Companies; Case Study: PDSCO (Projects Development and Solution Company)

2017 ◽  
Vol 16 (02) ◽  
pp. 1750013
Author(s):  
Namdar Rabiee
Keyword(s):  
Knowledge Management ◽  
Data Collection ◽  
Simple Random Sampling ◽  
Knowledge Application ◽  
Statistical Population ◽  
Knowledge Based ◽  
Analyse Data ◽  
Statistical Sample ◽  
Descriptive Survey

This study aims at identifying the barriers to knowledge management implementation in Iranian consulting companies including PDSCO in 2015. Research method is applied in terms of objective, and descriptive-survey research in terms of data collection method. The statistical population of research consists of all staff in PDSCO and its branches. The statistical sample of research includes 200 subjects who are selected by simple random sampling. Data collection tool consists of a researcher-made 27-item questionnaire based on a five-point Likert scale. The reliability of this questionnaire is equal to 0.87 based on Cronbach’s alpha. Descriptive and inferential statistics through SPSS software are used to analyse data, and thus the exploratory factor analysis is utilized to identify factors, and Friedman test is used for ranking them. The main results of research show that components including the empowerment, encouragement and support, knowledge application, knowledge sharing, salary and benefits, creativity, trust, and technological and knowledge-based factors respectively play main roles in knowledge management implementation.

scholarly journals Investigating the effect of customers' education level on loyalty and trust (Case study: Alborz Province Export Bank)

2021 ◽  
Vol 9 (SPE3) ◽  
Author(s):  
Shahla Sohrabi ◽  
Pouria Rahimi
Keyword(s):  
Customer Loyalty ◽  
Customer Participation ◽  
Customer Engagement ◽  
Alpha Coefficient ◽  
Statistical Population ◽  
Mediating Role ◽  
Descriptive Survey ◽  
Different Levels

The purpose of this study is to determine the effect of customer participation on customer loyalty with the mediating role of trust by considering the effect of literacy level. This research is descriptive-survey in terms of data collection method and applied in terms of purpose. The statistical population of the present study included all customers with different levels of literacy in Bank Saderat. Using Cochran's formula, the sample size required for the study was 196 people. The collection tool in this study was a questionnaire of Chen et al. The reliability of these questionnaires was confirmed using Cronbach's alpha coefficient. Amos23 software was used to analyze the collected data. The results showed that customer participation has a significant impact on customer loyalty. In addition, as the level of literacy of customers increases, their level of cooperation and trust increases or decreases. Trust also plays a mediating role in customer engagement, which affects customer loyalty.

scholarly journals Effect of Internet Services on Customer’s Online Purchase Intention (Case Study: Behpahksh Pharmaceutical Company)

2020 ◽  
Vol 3 (2) ◽  
pp. 36-45
Author(s):  
Hooman Lajevardi ◽  
Shahram Ghahramani ◽  
Vahid Nasehifar ◽  
Sara Pirmohammad
Keyword(s):  
Purchase Intention ◽  
Survey Method ◽  
Internet Services ◽  
Statistical Population ◽  
Online Purchase ◽  
Statistical Sample ◽  
Transaction Services ◽  
Navigation Experience ◽  
Descriptive Survey

This study aimed at examining the effect of internet services on online purchase intention of customers in Behpakhsh Company. Variables of this study included transaction services, pre-purchase services, Navigation experience, Attitude to the web, online purchase intention. Descriptive-survey method was used to examine hypotheses and respond to the questions. Statistical population consisted of customers of Behpakhsh Company. Statistical sample size obtained to 384 members. This study was implemented in Behpakhsh Company. To collect required data, researcher-made questionnaire was used. Moreover, regression analysis was applied in this research. Data analysis and hypothesis testing were done through SPSS Software. Findings obtained from this study indicated effect of internet services on customers’ online purchase intention in case of Behpakhsh Company.

scholarly journals Machine Learning and LPWAN Based Internet of Things Applications in Healthcare Sector during COVID-19 Pandemic

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1615
Author(s):  
Zeeshan Ali Khan ◽  
Ubaid Abbasi ◽  
Sung Won Kim
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
K Nearest Neighbors ◽  
Iot Applications ◽  
Processing Resources ◽  
Multiple Services ◽  
Applications Of Machine Learning

Low power wide area networks (LPWAN) are comprised of small devices having restricted processing resources and limited energy budget. These devices are connected with each other using communication protocols. Considering their available resources, these devices can be used in a number of different Internet of Things (IoT) applications. Another interesting paradigm is machine learning, which can also be integrated with LPWAN technology to embed intelligence into these IoT applications. These machine learning-based applications combine intelligence with LPWAN and prove to be a useful tool. One such IoT application is in the medical field, where they can be used to provide multiple services. In the scenario of the COVID-19 pandemic, the importance of LPWAN-based medical services has gained particular attention. This article describes various COVID-19-related healthcare services, using the the applications of machine learning and LPWAN in improving the medical domain during the current COVID-19 pandemic. We validate our idea with the help of a case study that describes a way to reduce the spread of any pandemic using LPWAN technology and machine learning. The case study compares k-Nearest Neighbors (KNN) and trust-based algorithms for mitigating the flow of virus spread. The simulation results show the effectiveness of KNN for curtailing the COVID-19 spread.

scholarly journals Evaluating the Human Resource Management Practices Effectiveness and Providing a Comprehensive Model (The Case of Nir Pars Company)

2013 ◽  
Vol 3 (3) ◽  
pp. 72 ◽  
Author(s):  
Davood Ghiyasvand ◽  
Hadi Teimouri ◽  
Reza Ansari
Keyword(s):  
Human Resources ◽  
Business Intelligence ◽  
Structural Equation ◽  
Management Practices ◽  
Survey Methodology ◽  
Reliability And Validity ◽  
Simple Random Sampling ◽  
Equation Modeling ◽  
Comprehensive Model ◽  
Statistical Population

Nowadays, as organizations advance towards development and progress, the need for efficient labor will be more noticeable. In such circumstances, the success of organizations in economic, cultural, social and governmental interactions is due to competence and effectiveness of Human resources and in fact human resources are the major assistance in achieving organizational goals and improving performance.The purpose of this article is to explore the level of business intelligence and propose a comprehensive model for Nir Pars Company in Tehran. This is an applied, descriptive-correlation research, conducted by survey methodology. A collection of 400 experts and managers of different organizational levels of Nir Pars Company were the statistical population of the study and a batch of 225 persons were chosen by simple random sampling as the research sample. Library method was used for data collection to form the theoretical foundations of the research, and we used our own questionnaire to confirm or refute the research hypotheses; which has the required reliability and validity (Cronbach's alpha coefficient of 0.961). To explore the relationships between the elements of the Model, factor analysis and structural equation modeling techniques were used. According to achieved results, the level of business intelligence exceeds the allowable amount (0.78 for all parameters of the model). 

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