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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.

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 purpose of this study is to research factors associated with knowledge distribution that managers can leverage to ensure a strong innovation management process and successfully deliver technological innovations to the intended consumer. These approaches have strengths and weaknesses of their own about technological advances, user's reception, adaptability, and success rate within the real intelligence of generating knowledge. The learning of data access distribution- how an individual/ the organization obtains access to any individual's own and other knowledge-has emerged as a key research area from a broad and deep field of study on technology transfer and innovation, and more recently from the sector of strategic management. Increasingly, knowledge access sharing research has moved to an organizational learning perspective. Indeed, experience and research suggest that successful knowledge access sharing involves extended learning processes and not simply communication processes, as ideas associated with development and innovation need. This paper provides basic concepts of data access distribution and its means of realization

Libraries have long been involved in content management due to their mission and task, but with the advent of the digital age, this content has changed from print to digital. Digital content management is related to storing, organizing, indexing and monitoring digital content used by an organization. Digital content can take many forms, including text files, documents, graphics, images, animations, and audio and video files. This book is a handbook consisting of 15 chapters in the field of research on digital content management and development in libraries, elaborating on various areas such as: Consortia, Digital Libraries, Digital Resource Management, EResources, Information Retrieval, Knowledge Management, Open Access, Repositories, RFID Technology. Even so, in this book, the research topics mentioned have not been studied in depth. In my opinion, considering the thematic importance of the book, it would be better to address newer research topics such as cloud computing, artificial intelligence, digital twins, virtual reality, research data management, etc. It is suggested that a new collection consisting of the chapters of the proposed areas be compiled.

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.