جستجوی مقالات مرتبط با کلیدواژه « Productivity » در نشریات گروه « کتابداری و مدیریت اطلاعات »

All efforts of business managers are to achieve productivity. In such a way that the need to increase productivity in organizations for more profitability is inevitable and every year a lot of money is spent on how to increase productivity and promote their business. One of the important and fundamental prerequisites for achieving a business model is its components and indicators in a standardized format. The changes that have come from the internet space have made knowledge flow and be exploited in a faster way in the departments of an organization. In the meantime the knowledge brokers can help to correct and improve the flow of knowledge and fill the information gap between producers and users of knowledge, thereby helping to increase the productivity of organizations and businesses.

Knowledge brokers provide the act of creating, sharing and using knowledge in an organization or between organizations. One of the ways to correct and improve the flow of knowledge is to use knowledge brokers who fill the gap between producers and knowledge users. The unique possibilities of the Internet have led to the emergence of a new form of business, which is now known as Internet business. These businesses have been created by entrepreneurial people with new ideas who have a creative and talented mind. Osterwalder's business model is known as the most common and broad business model canvas. This model is the provider of a common language for describing, visualizing, evaluating, and changing the business model. Productivity is called a method, a concept and an attitude about work and life, and in fact, they look at it as a culture and a worldview. Productivity is the effective and efficient use of inputs or resources for production by providing outputs. The background check shows that so far, many researches have been done in the field of knowledge brokers and internet businesses and the relationship between business and productivity inside and outside the country. On the other hand, studies show that many researches have been conducted abroad on the role and functions of knowledge brokers. This is despite the fact that none of them have analyzed the components and indicators of the internet business model for knowledge brokers with the approach of increasing productivity.

 The current research is applied in terms of purpose and mixed and exploratory in terms of approach. The research has been done in three stages: to identify the components and indicators of knowledge-based internet business for knowledge brokers using the meta-combination method, to determine the level of agreement of experts using the fuzzy Delphi method, and to determine the importance of each of the components and the calculated indicators were used using the survey-analytical method. In the first stage, the statistical population was 10,617 documents related to the research subject, out of which 65 documents were selected and studied further. In the second stage, in order to confirm the components and indicators calculated from the first stage, the fuzzy Delphi method and a questionnaire (with a 5-point Likert scale) were used in two stages. The statistical population in the second stage was 20 PhD graduates and subject specialists with more than 5 years of experience in the fields of knowledge management, technology management, and business. The snowball method was chosen and 10 of them responded to the questionnaire. In the third stage, in order to determine the priority and importance of the calculated components and indicators, a survey-analytical method was used. The statistical population of the research in the third stage was the number of 155 technology and knowledge brokers under the supervision of the Presidential Vice President for Science and Technology, Iran's National Fan Market and the Nano Technology Exchange Network, who were selected by census method.

 The results of data analysis show the number of 149 indicators under 30 components for Internet business for knowledge brokers in the form of nine components of Osterwalder's business model.

 The results show that knowledge brokers can create an information network between researchers by holding structured joint workshops in a client-oriented and problem-oriented manner, holding seminars and online webinars, etc., and establishing proper communication between the main customers of their business through virtual communication channels. Since the ultimate goal of designing a business model is to create sufficient value for customers, knowledge brokers can attract and retain their customers by providing value propositions such as facilitating decisions and policies through the acquired knowledge. Considering that every business model requires a number of key activities; knowledge brokers can provide their desired services to customers through key activities such as knowledge monitoring and evaluation, etc. One of the goals of every business and organization is to create partnerships with colleagues and key partners; based on this, knowledge brokers can achieve success in their business by establishing partnerships with influential investors, governmental and non-governmental supporting organizations, and influential governmental and non-governmental social organizations. The cost structure in any business is one of its main pillars and you should pay enough attention to its arrangement. This section usually contains two sections of fixed and variable costs. Knowledge brokers can manage the wages of human resources, administrative costs and provision of workplaces and the costs of providing equipment and depreciation in the fixed costs department and managing the wages of experts and researchers for sharing knowledge. Marketing, advertising and holding events and costs of development and maintenance of technology infrastructure in the variable costs department to achieve cost management in their business. The resources needed to run a successful business are called key resources. At first, it is believed that only the initial capital is enough to start a business, but the fact is that before starting any business, identifying key resources is of particular importance. Value proposition, communication with the customer, communication channels, how to communicate with the customer, making money, are all related to key resources. Knowledge brokers can start and maintain their business through key resources such as human, financial, physical and intellectual resources. In order to obtain profit, expenses must be deducted from income. In a business, if we consider the customer part as its heart, the income streams are the arteries of a business. Knowledge brokers through a variety of income models such as receiving commissions/fees from communicating between users and knowledge producers, advertising and receiving charges or royalties in providing consulting services and pricing mechanisms such as considering a base price for knowledge services, price dynamics based on the level of knowledge used and price dynamics based on advertisements, they can manage their business income flow.

 Since every business needs components and indicators to be implemented in the form of a business model, it shows the architecture of a company to create, market, deliver value and earn a stable and profitable income; statistics of internet business components and indicators for knowledge brokers can help to reduce the information gap between researchers, policymakers and decision-makers, governance structures and institutions and supply and demand sector structures and institutions and lead to an increase in interest and be successful in business.

Linked data was developed and introduced as the best practice for publishing and linking structured data on the Web. In studies related to the scientific collaboration network, which is defined by co-authorship relationships, Social Network Analysis (SNA) is applied. Identifying influential researchers in co-authorship networks across different scientific fields can be considered one of the goals of scientometric studies. The purpose of the current research is to determine the productivity and efficiency of researchers in the field of linked data. Additionally, it aims to identify and analyze the most influential researchers in linked data using the Scholarly Influence Model. 

The current research is an applied study and has been conducted using common techniques in Scientometrics, specifically co-authorship and network analysis methods. To obtain the primary data, the keyword "Linked data" was searched in the Web of Science Database, which contains 4612 records from 1983 to 2019. The data was saved in plaintext format and then processed by Bibexcel software. Based on co-authorship, the number of unique researchers was determined to be 48,643. The names of the researchers were transferred from Bibexcel to Excel software and sorted alphabetically. Then, they were edited, modified, and unified into preferred names. In the following, Bradford's Law was applied to determine the sample size with a cutoff of 38 in order to facilitate easier analysis in the co-authorship network. The sample size was determined to be 174 researchers. BibExcel has been used to calculate the productivity (number of articles), efficiency (number of citations), and H-index of the researchers. After creating a co-authorship matrix of researchers in BibExcel, it was converted into a correlation matrix using UCINET in order to calculate the degree, betweenness, and closeness centrality. In addition, the g-index and hc-index of 174 researchers were manually calculated using Excel software. Next, the relationship between productivity and efficiency, as well as the impact of social and environmental influences on ideational influence, were investigated using Lisrel Software. 

The findings showed that Bizer C. and Berners-Lee T. are considered to be the most influential researchers in the field of linked data, with the highest productivity and efficiency. In terms of co-authorship, "Auer S" and "Klyne G" have the highest degree centrality. In terms of closeness centrality, "Fellegi I" and "Zhang Y" have the highest scores, while "Fellegi I" and "Rubin D" have the highest scores in betweenness centrality. Regarding the hypotheses, there is a significant relationship between the productivity and efficiency of researchers in the field of linked data. Also, the findings showed that higher productivity is associated with higher betweenness and degree centrality. However, there is no significant relationship between closeness centrality score. Specifically, "Bizer C", "Berners-Lee T", "Hogan A", and "Auer S" have the highest scores in the indicators of social and ideational influences. Furthermore, it was found that social influence has a positive effect on venue and ideational influence, meaning that researchers with higher social influence also have higher venue and ideational influence. In addition, social influence has a positive effect on ideational influence, meaning that researchers with higher social influence also possess higher ideational influence. 

The favorable status of researchers in terms of productivity and efficiency, as well as their high scores in the indicators of degree and betweenness centrality in the co-authorship network, can indicate their significant scientific influence in this field. This finding confirms the positive and significant impact of triple relationships in the Scholarly Influence Model. Generally, the results can provide a deeper understanding of the quantitative and qualitative status of scientific publications and leading researchers in this field. Using a combination of productivity and efficiency indicators, along with the components of the Scholarly Influence Model, can help identify top researchers in each scientific field.

the present study aims to identify the dimensions and components of 5S and measure the job satisfaction of the staff of the National Library and Archives of Iran based on these components.

The research method is survey and the Statistical population of this study are all employees have Bachelor's degree or higher in the National Library and Archives of I.R of Iran (NLAI). Using systematic sampling, 220 of them were selected for review .

This Study is identification of aspects of 5s in terms of job satisfaction and measurement of satisfaction of personel of National Library and Archives of I.R of Iran (NLAI) based on them. The results of the analysis show that the organization of the components of the mean (74.3), with an average order parameters (64.8), clean the components with average (64.3), a standard component of the mean (77.5) and disciplinary components of the average (90.7) in the national Library and is in good condition.

National Library and Archives of iran is in a good position to observe the 5s components.

Organizations today are well aware of the fact that its most important asset is its human resources. The human resource brand has been raised as a new issue in recent years as a strategic competitive resource. The purpose of this research is to investigate the effect of human resource brand on organizational productivity. The statistical population of the present study is the Kermanshah Economic and Capital Affairs Department, which has 116 employees. A standard questionnaire was used to collect the required information. In this research, construct validity was used to determine the validity of the questionnaire and Cronbach's alpha method was used to determine validity and reliability. To analyze data, PLS software has been used. Findings show the direct and positive impact of the HR brand on human resource productivity.construct validity was used to determine the validity of the questionnaire and Cronbach's alpha method was used to determine validity and reliability. To analyze data, PLS software has been used. Findings show the direct and positive impact of the HR brand on human resource productivity. PLS software has been used. Findings show the direct and positive impact of the HR brand on human resource productivity.construct validity was used to determine the validity of the questionnaire and Cronbach's alpha method was used to determine validity and reliability. To analyze data, PLS software has been used. Findings show the direct and positive impact of the HR brand on human resource productivity.

This study examined the relationship between organizational factors and librarians’ productivity of the public libraries in Hamedan province, according to the model of Richard E. Kopelman’s organizational factors.
This applied research was done using a survey method. Two researcher-made questionnaires ‘organizational factors’ and ‘productivity’ were instrument for gathering data. Statistical population was consisted of all public librarians at Hamedan province to 127 people and ultimately 97 questionnaires were collected. The data analysis took place by means of SPSS16 statistical software at the level of descriptive and inferential statistical (Pearson’s Correlation Test, Analysis of variance test (ANOVA)).
Findings: The results showed that there is a significant positive relationship between organizational factors and the productivity of librarians at (P Improving organizational factors increases the productivity of librarians. We need to take an action to strengthen organizational factors in the public libraries in Hamedan province.

To determine the effects of job rotation on the productivity of employees regarding viewpoints of NLAI librarians.Methodology/Approach: It is a survey study using a self-designed questionnaire. The viewpoints of 196 librarians working in NLAI were measured about the role of job rotation on productivity, according to the four aspects of productivity (individual, organizational and systematic, management, and procedures) Job rotation positively effects on improving staff skills, knowledge sharing, dynamism in libraries, managers’ support and encourage toward employees, coping problems, achieving new ways to increase diversity in work and overcome fatigue and unhappiness. Job rotation promotes the productivity and is an opportunity for improvement in NLAI.

Aim: The aim of this study was to investigate the role of knowledge management and organizational innovation in human resources productivity.
This descriptive and purposes, is applied. The study population comprised 300 employees of the South Pars Gas Complex. To collect the data in this study, questionnaires were used. Content validity of the questionnaire using several management specialists, professors and use it in a number of surveys were calculated and used to calculate the reliability of Cronbach's alpha coefficient was calculated for the entire questionnaire was calculated 098/0. Finally, to evaluate and compare the data, descriptive and inferential descriptive and inferential Kolmogorov-Smirnov test, correlation, regression analysis and Friedman test was used.
Findings: the dimensions of knowledge management and organizational creativity and productivity of human resources and there is a significant positive relationship. Among the mechanisms of knowledge creation and innovation has the greatest correlation with the productivity of human resources. Also, after application of the knowledge and belief of the organization have the greatest impact on human resources productivity. Finally, based on the ratings scale, the application of knowledge and qualification of human resources is of the utmost importance in human resources productivity.
Organizations need to improve human resources in order to boost productivity and use of manpower walk, mental abilities, thought staff for the production of goods and services with quality support.

The purpose of this research is to identify and validate indicators used to evaluate research productivity of Iran universities based on view of research assistants and managers of universities across the country.
In other to achieve this aim documentary method and survey method were applied to identification and validation of these indicators respectively.. Sample of this research consists of 60 persons among research assistants and managers of three types of medical sciences, industrial and comprehensive universities. In order to conducting survey research, a questionnaire as an instrument collecting data, including 48 evaluation indicators was used.
Findings: According to managers and research assistants of three types of medical sciences, industrial and comprehensive universities, indicators related to position have more important in evaluation of research productivity. The results showed that the book indicators are very important for the managers and research assistants of comprehensive universities. And for managers and research assistants of industrial universities, indicators related to grant, inventions and research projects have more credibility than other indicators of research productivity evaluation of universities. For the managers and research assistants of medical sciences universities, indicators related to the article are more important than other indices.
Originality: This research has identified and ranked indicators of research productivity evaluation of universities. Also this research determined credibility of per indicator in research productivity evaluation of three types of medical sciences, industrial and comprehensive universities.

This research aims to analyze social network structure of co-authorship in scientific outputs of information science researchers as well as to examine relationship between these structures and researchers productivity. Social network analysis is used as the research method. The research population includes all those researchers who have published at least one record in one of the twenty journals of Information Science which has an impact factor of 0.635 as a minimum from the years 1996 to 2010.The results showed that a significant correlation existed between constraint, efficiency, network size and productivity. The results of multivariate variance analysis also indicated that male and female researchers differed in terms of factors such as productivity, network size, constraint and efficiency

This research aims to analyze the effect of co-authorship strategies on productivity of information science researchers and to determine the relationship between co-authorship social networks structure and productivity of Information Science researcheres. Social network analysis is used as the research method. The research population includes all those researchers who have published at least one record in one of the twenty journals of information science which has an impact factor of 0.635 as a minimum from the years 1996 to 2010. The One-Way ANOVA results showed that co-authorship strategies differed between different groups of researchers in information science discipline. As the findings indicated co-authorship strategies affected on factors productivity as those researchers who used cohesion strategy had the highest productivity. The Results from variance regression analysis revealed that about 52% of researchers’ productivity variable variance was determined by factors such as constraint, efficiency network size and gender. Generally, it can be concluded that the variables such as network size, constraint, efficacy and gender simultaneously have a significant predictive power. Therefore, the values of researchers’ productivity variable can be calculated based on four variables of network size, constraint, efficiency and gender. The higher coefficient factor of network size shows the more importance of this particular variable in predicting the criterion variables.

This research aimed to investigate the relationship between organizational spirituality and productivity of librarians and library staff in libraries of Shiraz University and also determining the Influential and the most predictive indicator to Improve employee productivity. To collect data two questionnaires were used; the first one measured the persons spirituality, and it included 102 questions in three dimensions: religious understanding and belief, religious orientation, and obligation to religious duties in practice. The second questionnaire had thirty questions and measured personal productivity. All librarians and library personnel whose scores were 82, were considered as subject of the study. Questionnaires were tested for reliability and validity. Data analysis was carried out by using SPSS software (16th edition) and statistical methods such as correlation coefficient and multiple regression coefficient were applied. Results show that there is a positive correlation between spirituality and productivity of subject of the study. Among spirituality dimensions, obligation to religious duties in practice affects personal motivation for higher productivity more than other dimensions and has high forecasting power as well. Also Demographic characteristics have some impacts on productivity. Ultimately a conceptual model was constructed and introduced which can be used by other researchers.