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This research is an empirical study that addresses whether knowledge resources impact on, or do not impact on, innovation development and if this impact is mediated by dynamic capabilities in the medical tourism sector in Mashhad city, Iran.

A quantitative research methodology was applied and questionnaires were used for data collection in this study. A total of 108 questionnaires were collected of which 102 questionnaires were valid. Data were analyzed using structural equation modelling technique.

Empirical evidence obtained from the study reveals that the dynamic capability of learning plays a significant role in transforming knowledge resources into innovation in the medical tourism sector. The mediating role of coordinating capability in the relationship between explicit and tacit knowledge and innovation is considerable and it influences human capital, as well. Sensing capability also exhibits some degree of a mediating role; however, integrating capability is not influential and its role in transforming explicit knowledge to innovation is rejected.

Most studies on innovation in medical tourism focused on market and its typology, and neglected the role of knowledge resources and dynamic capabilities. The current study bridges this gap and thus contributes to the scientific literature.

This study aims to assess the effect of the COVID 19 on small and medium-sized family firms’ risk-taking in Iraq.

Data was collected by distributing the questioners. The statistical population consists of 600 employers and small and medium-sized family and non-family firm managers. Hypothesis analysis was carried out after evaluating the questionnaire’s validity and reliability using the structural equation method.

The results indicate that COVID 19 influences small and medium-size family and non-family firms’ risk-taking.

Since no study carried out so far on the effect of COVID 19 on risk-taking of family and non-family Iraqi small- and medium-enterprise firms and since the political-economic condition of Iraq has been affected recently due to the presence of ISIS, its effects, as well as the civil war that taken place before COVID 19, assessing such a topic can contribute to the development of science and knowledge in this field.

This study aims to investigate the effect of the dynamics and potential of the board of directors on investment efficiency and the comparability of financial information in companies listed on the Tehran Stock Exchange.

The number of observations for this study includes 1,218 observations from companies listed on the Tehran Stock Exchange during 2014–2020. The authors used econometric statistical methods such as multiple linear regression, the Chow and Hausman test and the Kendall correlation coefficient using Eviews software to conduct the research. To measure the board’s effectiveness, two variables are used, including board dynamics and potential.

The results showed a positive and significant relationship between dynamics, board potential and investment efficiency. Also, no significant relationship was observed between the board dynamics and the comparability of financial information. Finally, a positive and significant relationship exists between the board’s potential and the comparability of financial information.

The importance of this research is the use of board proxies, including the dynamics and potential of the board. In addition, other variables of board characteristics, such as size, independence, ownership and gender, and the relationship between these variables with investment efficiency and comparability of financial information, have been examined in this study.

The purpose of the present study was to identify the conditions that affect the absorptive capacity (AC) of knowledge, discover its consequences and design an AC paradigm pattern in public academic libraries. To do so, AC was investigated at the levels of individual and organizational learning.

In this paper, to answer the three major questions of this qualitative-survey study, the views of 24 experts were examined using an in-depth semi-structured interview and grounded theory strategy. The data were collected using a nonrandom combined targeted sampling procedure (targeted and snowball) and analyzed based on Strauss and Corbin’s (1998) approach and utilizing MAX Qualitative Data Analysis (MAXQDA) software.

Throughout the grounded analytic stages, 121 open codes were identified. These were distributed around the AC axial category in academic libraries in terms of individual and organizational learning. The 33 axial concepts were then categorized into 16 selective general categories. The paradigm pattern was initially designed to explore the relationships between causal, intervening, strategies, context and consequences conditions. The transition from academic libraries to learning organizations, their increased functional value and the development of their innovation were identified as the consequences of AC development.

This qualitative research is the first in the field of Library and Information Science (LIS) to support AC both theoretically and empirically in terms of learning in academic libraries. This study thus not only addresses a key research gap in LIS but also provides significant insights and direction to interested librarians and researchers.

Organizations experience various issues with the optimum use of data. This study is qualitative research to identify and provide a helpful pattern for increasing the performance of sustainable supply chain management (SSCM).

The statistical population in the qualitative section includes managers and experts in the supply chain (SC) and food production. The data were collected via semi-structured interviews, and data saturation happens after the tenth interview. Then, the data were coded using grounded theory and qualitative research analysis. 384 questionnaires were distributed among employees via random sampling. SmartPLS software is used to investigate and analyze the relationships in the mentioned model through 13 core categories.

The findings indicate that organizational productivity and SC deficiencies are among the effective factors in the SSCM primarily identified by this study. Moreover, the findings propose that industry SC, macro policies, organizational performance, social factors, economic factors, organizational factors, political factors, technological factors, production and customer are likely to positively impact the SSCM, which have previously been documented by studies.

The model and concepts extracted from the responses of research participants show well that there are reasons and motivations for increasing the performance of SSCM. Also, the designed model shows well that the motives and reasons for turning to this system are satisfied due to its implementation.

The purpose of this paper is to explore empirically how the two kinds of strategic orientations including export market orientation (EMO) and technology orientation (TO) predict innovation performance (IP) and export performance (EP), by investigating the mediation effect of IP and the moderation effect of external network (EN).

The statistical population of this research is the food and agricultural products exporting firms which participated in the 26th International Agrofood Exhibition in Tehran, Iran. The sample of 296 managers filled out questionnaires using systematic random sampling methods. Structural equation modeling was used to analyze the data.

Results demonstrate that the increase of EMO and IP is related to a rise in EP. Furthermore, the research finds that IP is a partial mediator in the link between EMO and EP. Finally, the moderation impact of the external networks in an association between TO and IP is supported by the data.

This study is one of the limited number of studies to consider the mediation impact of innovation performance in the relationship between EMO and EP, and it is actually the first study, to the best of the authors’ knowledge, to investigate the moderating impact of EN in the relationship between TO and IP in the context of one developing country.

The study aims to determine the relationship between emotional maturity and domestic violence in infertile women.

The cross-sectional study was conducted on 184 infertile women. Demographic questionnaire, Emotional Maturity Scale and domestic violence questionnaire were used to collect data. The Chi-square test and multivariate logistic regression were used to analyze the data.

More than 50% of the women in the study experienced domestic violence, and about the same percentage of them had unstable emotional maturity. The total score of domestic violence and its types were significantly related to the women’s emotional maturity (P < 0.001). In multivariate analysis, the significant relationship was found between domestic violence with Spouse's education level (primary/secondary) [OR = 0.25 (0.09–0.66)] and emotional maturity (unstable) [OR = 3.59 (1.83–7.02)].

The overall prevalence of infertility in Iran was 7% in 2021. Furthermore, although infertility is a problem among couples, most of its social burden lies with women. In a number of developing countries, as well as in Iran, childbearing is perceived as a social value for married women. Therefore, infertile women are at risk for depression, anxiety, low self-esteem, dissatisfaction and reduced quality of life.

This study found that half of the surveyed women experienced domestic violence. Women’s emotional immaturity, as well as their spouses’ lower education level and type of occupation, were highly correlated with women’s experience of domestic violence. To help prevent domestic violence among couples, there should be couple training classes to improve women’s emotional maturity.”