Purpose: The present paper aims at identifying and extracting the dimensions, components, and criteria of digital library evaluation based on experts` opinions and the 5S conceptual framework of Goncalves.Methodology: This was an applied, documentary, and survey research making the best use of the fuzzy Delphi method (to extract criteria and develop the conceptual model), forming a trinity in methodology. To refine the components, and criteria, 20 Iranian and foreign experts were polled about digital libraries in 3 stages. The results of each stage were refined based on Minkowski formula. This was an applied research since it presented the evaluation criteria of Iranian digital libraries, and its results can be practically used, enabling digital libraries to evaluate and examine their status quo, and accordingly plan and enhance their activities. It was a descriptive study based on the research design and data collection method. To gather the data, three methods were used: documentary study, fuzzy Delphi (to extract criteria and develop the conceptual model), and survey, creating a trinity in methodology. Findings: During the three stages of the experts` poll, in Stream component 4 criteria, Structure component 4, Space component 4, Scenario component 5 and in societies component 3 ones were refined and also the results of each stage were refined using the formulas of Cheng and Lin model and ultimately the experts agreed with each other on 20 criteria. Conclusion: A digital library evaluation model was designed with 5 dimensions (components), 20 criteria, and 50 sub-criteria. It was offered to all organizations and universities as an evaluation model for digital library performance examination, so that they properly perceive the efficiency and effectiveness of digital libraries and their services.
The purpose of the study is to explore the history and growth of the Indian LIS education system, its sustainability, and describe a critical review of recent UGC proposed Learning Outcomes-based Curriculum Framework (LOCF) syllabi. The formal LIS education which was started before independence with few universities currently witnessed a phenomenal growth of LIS departments/schools in the county. The structured questionnaire and survey methods were used to collect relevant data about availability of various courses and supplemented by searching websites and personal contacts. The findings of the study indicates that that 237 universities/colleges/ polytechnic institutes and professional associations found offering LIS education from six months certificate course to a doctoral research program. The survey revealed that at present B.A. (Hons.), B.Sc. (H), Dip. in LIS (3 years), CLIS, BLIS, MLIS, MLIS (two years integrated), PGDLAN, M. Phil., Ph.D., and D.Litt. courses are available in 31 states and UT of Indian universities/colleges in Library and Information Science. The study also finds that during the span of 20 years (2001-2020) 105 LIS departments came into existence primarily in private universities and colleges. The latest UGC proposed LOCF syllabi for BLIS also examined its acceptability and sustainability as a uniform model curriculum framework for the LIS departments in India, In addition, the study describes key issues, challenges and recommendations to enhance LIS education scenario.
The widespread deployment of social media has helped researchers access an enormous amount of data in various domains, including the the COVID-19 pandemic. This study draws on a heuristic approach to classify Commercial Instagram Posts (CIPs) and explores how the businesses around the Holy Shrine were impacted by the pandemic. Two datasets of Instagram posts (one gathered data from March 14th to April 10th, 2020, when Holy Shrine and nearby shops were closed, and one extracted data from the same period in 2019), two word embedding models – aimed at vectorizing associated caption of each post, and two neural networks – multi-layer perceptron and convolutional neural network – were employed to classify CIPs in 2019. Among the scenarios defined for the 2019 CIPs classification, the results revealed that the combination of MLP and CBoW achieved the best performance, which was then used for the 2020 CIPs classification. It was found out that the fraction of CIPs to total Instagram posts has increased from 5.58% in 2019 to 8.08% in 2020, meaning that business owners were using Instagram to increase their sales and continue their commercial activities to compensate for the closure of their stores during the pandemic. Moreover, the portion of non-commercial Instagram posts (NCIPs) in total posts has decreased from 94.42% in 2019 to 91.92% in 2020, implying the fact that since the Holy Shrine was closed, Mashhad residents and tourists could not visit it and take photos to post on their Instagram accounts.
Introduction: The aim of this study was to determine the information retrieval and information therapy behavior of Asthma and allergy specialists in the country, based on cohonen self-organized neural network model. Methods: The methodology of the present study, which is an applied study in terms of purpose, has been done by descriptive-survey method using neural network technique. The tool of this research is a researcher-made questionnaire that was distributed among a sample of people in the community (149 people). After collecting the data, the neural network was selected for data clustering and using MATLAB software, Asthma and allergy specialists were clustered based on the main components of the research. Then, by removing each of the main sub-components of the research, the most effective and least effective option in their information-seeking behavior in working with information resources in this specialized field was determined. Results: The most effective component in clustering information barriers, was "lack of time due to workload" and the least was "distance of libraries and information centers". About information retrieval skills, the most effective component is " knowing what keywords to use when searching the Internet, and to be familiar with synonyms and terms related to the information I need." Conclusion: By studying the clustering of information behaviors resulting from the information needs of Asthma and allergy specialists, their needs are recognized, and this is one of the measures that provides the basis for effective research, appropriate findings and ,consequently, informational decision-making for those involved in this field.
One of the most important issues for libraries in the age of digital transformation is digital content management from the perspective of resource digitization. The purpose of this article is to examine the challenges of implementing and implementing digital libraries in Iran and to provide solutions to solve it. In this study, using a review of the literature research, the challenges of building and launching digital libraries in Iran were investigated. Then, with using likert scale,the challenge ranked by experts in the field of digital library construction in Iran. These challenges were weighted using the AHP Analytic Hierarchy method. Finally, a framework was devised to solve them. Based on findings there are issues and challenges in the field of human force, copyright and legal issues, information security and protection, confusion in the organization of digital resources, lack of budget, difficulty in accessing digital library software, and its distance from global standards. To solve the challenges of building a digital library, it is necessary to pay attention to the following solutions: Holding training courses to get acquainted with the operation of digital devices, Fair or free use of works, Use of global data identification system, Set an adequate budget for digitizing resources, Creating constructive interactions between experts in the field of digital libraries inside and outside countries to transfer lessons learned globally.
Since the accessibility of the internet, cyber literature can function by bringing ease, evolving preferences and mindsets. This research is a survey focused on the opinions of the respondents on the nature of social media cyber literature; of its advantages and effects on the reader. This research is limited to the collective poems on Facebook. The logic is simple; the shortened version is preferred. Poetry is more likely to be used for the interpretation of reader-writer interactivity in cyber literature. The technique is the literary theory of reader reaction with attention to Facebook's reader-writer personalization. The objectives of this article were to expose the impetus of audiences to react to the submitted text, the reasons why they really like it, and what its benefits are. The findings showed that cyber literature is effective in implementing a substitute writing style that also improves writers’ enthusiasm and imagination to make use of the digital content.
Background: The rapid growth of COVID-19 disease in recent days has led to the rapid development of mobile health applications. Objective: This study aims to evaluate the quality of applications which provide information related to Coronavirus in Iran. Method: A systematic search has been conducted in Cafebazaar (Iranian app store) between May-October 2020. The Mobile Application Ranking Scale (MARS) is used to evaluate mobile applications and includes 23 items. Result: After limiting Apps to the criteria specified in the systematic search, 13 mobile applications were downloaded from Bazaar Cafe, which have been evaluated in terms of functionality, engagement, aesthetics, information, and subjectivity. In general, the Apps analyzed in this article are in poor condition in terms of quality. The highest rated app is Mask (2.69) and the lowest score is for Corona (Statistics, video, map) (1.47). Conclusion: The findings of this study showed that coronavirus applications designed in Iran are not in a favorable position in terms of MARS indicators. The lowest average was related to the information indicator. This shows that there is no professionalism in designing applications and it is necessary to pay special attention to evidence-based information in designing self-care and prevention programs of COVID-19.
The present paper is focused on the study of pre-service student’s attitude towards use of helpful technology in teaching learning process. A descriptive and survey method was used for the study. The sample consists of 150 pre-service students at B.ED and M.ED levels in the Department of Education, Aligarh Muslim University, Aligarh. Out of 150 BED and MED students 69 were male and the rest female. We adapted tools from the research work of Abani Gwanshak Shikded and Theresa Ledger and further the tools were modified according to the objective of the study. We developed a tool by ourselves to measure attitude of pre- service student’s towards use of helpful technology in teaching learning process to disabled children. The data was tabulated and systematically analyzed, with the help of the Microsoft Excel. The data was fed in the Excel sheet and then analyzed using operations like converting the data into percentage, addition etc. and interpreted on the basis of objectives of the study. We took five types of helpful technology for various disabilities, namely, helpful technology for “visually impaired, reading impaired, hearing impaired, writing impaired and mathematically impaired” . The major findings of the study revealed that majority of the students are aware of helpful technology but they are not skilled in using helpful technology in teaching learning process and also majority of the pre-service students have favourable attitude towards the use of helpful technology in teaching learning process.
Emotion recognition from speech has noticeable applications within the speech-processing systems. The goal of this paper is to permit a totally natural interaction among human and system. In this paper, an attempt is made to design and implement a system to determine and detect emotions of anger and happiness in the Persian speech signals. Research on recognizing some emotions has been done in most languages, but due to the difficulty of creating a speech database, so far little research has been done to identify emotions in Persian speech. In this article, because of the dearth of a suitable database in Persian to detect feelings, before everything, a database for moods of happiness and anger and neutral (with no emotion) in Persian, including 720 sentences was set up. Then the frequency features of speech signals obtained from Fourier transform such as maximum, minimum, median and mean as well as LPC coefficients were extracted. Then, the MLP neural network was used to detect emotions of happiness and anger. Results show that our algorithm performs 87.74% accurately.
Purpose : E-tourism is the most cost-effective way to communicate with the target market and to publish information. It is also an easy way for customers to buy travel products. Recent advances in mobile communication technologies are leading the way for the next generation of travel commercial applications. Location-based services are among these facilities available on the mobile platform. These services use mobile tracking techniques to provide users with relevant information at the right time, based on their current location. This study investigates the LBSs value in tourism and their effect on destination brand equity components and tourist behavior.
Method : The sample of the study totaled 210 visitors from Isfahan as one of the popular tourist cities in the world. The research hypotheses were analyzed using Smart-PLS3 software.
Findings : The research findings revealed that LBSs have positive and significant effects on destination brand image, destination brand loyalty and WOM.
Conclusion : As this paper is among the first studies investigating the positive effect of LBS on destination brand equity components and tourist behavior, the findings are beneficial for DMOs and their marketing managers. Due to their potential to create a unique travel experience as well as to personalize and tailor tourism services based on tourists' needs and personal preferences, LBS provide them with significant added value.
The developments of digital marketing in the banking industry have affected the speed of changing customer demands. Therefore, the ability to quickly and agilely adapt to changes plays a key role in creating competitive advantages. Despite the significant role of agility in responding to changes, so far there is no research that identifies the agility components of the banking industry in digital marketing. Thus, based on the designing methods of qualitative research, and investigating digital marketing experimentally and theoretically, this study presents a new model for digital marketing agility in the banking industry. In this research, the key theoretical dimensions of digital marketing agility are identified and some suggestions for facilitating the model implementation are provided. The findings of this study include important results for marketing managers in the banking industry and indicate what strategic measures are needed to establish agile practices in the structure, processes and communications of their digital marketing from a practical perspective in the context of agile digital marketing.
The aim of this study is to review and redefine the interaction process with information based on a holistic approach. The data required for this qualitative study were collected through semi-structured interviews among 18 individuals and analyzed using thematic analysis. The network of themes making up the information interactions consists of 5 global themes which have been extracted among 23 organizing ones. These themes include the beginning, orientation, networking, and consolidation, which can be interpreted in terms of the symmetry theme as a kind of looking at humans and non-humans in a three-layered context including the internal, external, and technology-tools contexts. The new view of interaction with information has taken it beyond the interpretation scope from the human user’s perspective and observes it alongside non-human factors. As a result of such an approach, the non-human factors in the role of infrastructure and technology-tool context, meet specific and interpretable effects along with human ones, external and internal contexts.
