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Abdulamir Mabhoot, Mohammad Reza Farhadpoor, Ebrahim Hoseini,
Volume 11, Issue 1 (6-2024)
Volume 11, Issue 1 (6-2024)
Abstract
One of the most important current debates in organizational information security is information leakage. Information leakage, which refers to the unauthorized sharing of information by one organization with another, is one of the serious problems faced by organizations. Information leakage can cause losses to the company and affect its ability to gain a competitive advantage. Information leakage includes two types of leakage or intentional or unintentional disclosure of data or exclusive content to unauthorized persons. Intentional information leakage includes the intentional disclosure of information by employees to unauthorized persons. Deliberate information leakage is often caused by employee dissatisfaction with the company or a motive for personal gain. The main cause of intentional information leakage is revenge or unethical behavior of employees who are willing to betray their company or disclose sensitive information to competitors. In other words, if employees are not aware of how much information to disclose to outsiders, then unwanted/inadvertent information leakage may occur. These cases damage the reputation of the organization, its income and business. As a result, the pervasiveness of this uncertainty about information security in the work environment puts the organization's information assets at risk. In order to minimize or prevent information leakage, it is important to investigate and identify the factors that lead to this happening.
Regardless of the type of information leakage and the related motives, the impact of these actions in itself can lead to financial losses, disruption of the organization, loss of reputation and long-term impact on the organizational culture. Although the phenomenon of information leakage may happen in any organization; But considering the opportunities and values that every organization loses as a result, its importance can be understood. For this reason, the consequences of information leakage will be different from one organization to another, and accordingly, its degree of importance will also be different. The study and identification of factors affecting the phenomenon of information leakage is interesting from several aspects. First, the airport environment with the presence of various airlines is an example of a highly competitive market where the actions and operations of the airport are exposed to the customers. The second point is that the customers of the airport system are heterogeneous and may be people of different nationalities. Third point, the issue of security in airport systems is a complex and interesting phenomenon that is provided by the participation of different organizations. The fourth point is that the flow of information in the airport system is intense, intra-organizational and trans-organizational/cross-border. The fifth point is that the occurrence of an error in the flow of information in airport systems can have unfortunate human, financial, and other consequences. Considering these points, the present study was conducted at Ahvaz International Airport. Preventing information leakage is one of the most important security issues at Ahvaz International Airport. Because with the loss of data, the reputation of the airport is damaged and it loses its customers, it has to pay a high cost to fix the damages, and this will sometimes lead to the destruction of the organization. According to the mentioned contents, this research seeks to answer the question, what are the factors affecting organizational information leakage in Ahvaz International Airport? How are they ranked? Hence, the purpose of this study was to identify and rank the factors affecting organizational information leakage in Ahvaz International Airport using the Hierarchical Analysis Process.
Methods
Since the ultimate goal of the current research was to improve the understanding of the problem of information leakage as an important concern for the organization and to find a practical solution to reduce it, it is practical research in terms of the goal. Also, from the point of view of nature, the current research is descriptive-exploratory; Because what follows the data follower approach to "describe" and "interpret" the factors affecting organizational information leakage as it is. The research community was all information security experts in different parts of Ahvaz Airport; that by the snowball method (because it was difficult to identify the experts and the possibility of contacting and accessing them) 15 experts in the information security field of Ahvaz Airport (having relevant work experience of more than 15 years, a master's degree or higher and familiar with security issue and information leakage). In this study, the library method was used to compile the theoretical foundations of the research, the background of the research and the design of the decision tree. Then, the field method was used to distribute the five-point paired comparison questionnaire to collect data. The first questionnaire was taken from the research literature and was distributed among 15 experts using the Delphi technique. Opinions were sought from the expert group of the Delphi study, in the form of sending a structured questionnaire with a 5-point Likert scale, consisting of 22 questions, in two rounds with the participation of 15 people, in such a way that first, the first questionnaire consisting of 22 questions was sent to the members of the Delphi group. After distributing and collecting completed questionnaires and evaluating the results of this Delphi round, 5 main factors and 21 important sub-factors were identified (laws and regulations sub-factor with an average of 2.87±83 and a t value of 0.61 was not recognized as significant and was excluded from the questionnaire for the second round) and after twenty days, from the initial opinion poll, the important factors were re-evaluated in order to conduct the next round of Delphi in the form of a questionnaire with 21 questions related to the important sub-factors, the collected data It showed the confirmation of all subfactors. Finally, the data was analyzed using the hierarchical analysis method and using Expert Choice software.
Resultss and Discussion
Based on the results, 5 main factors and 21 sub-factors affecting organizational information leakage were identified. The weighting and prioritization of indicators showed that intentional individual factors (0.277) ranked first, unintentional individual factors (0.235) ranked second, organizational factors (0.188) ranked third, infrastructural factors (0.167) ranked fourth and environmental factors (0.133) ranked fifth.
Conclusion
The results showed that information leakage is a complex phenomenon that various individual, organizational, infrastructural and environmental factors are involved in its occurrence. However, the first and second rank of the intentional and unintentional dimensions of information leakage by individuals, on the one hand, indicate the complexity of the information leakage phenomenon, and on the other hand, require a review in the strategies related to human resources management in Ahvaz International Airport.
Based on the results, intentional individual factors with a weight of 0.277 were the first effective factors on information leakage in Ahvaz International Airport. Also, among intentional individual sub-factors, personal greed with a weight of 0.232 was the most important sub-factor and the experience of invasion of privacy with a weight of 0.078 was the least important sub-factor. The findings confirmed that intentional information leakage due to human factors should still be of concern to managers. Since it is not possible to abandon human factors in the organizational life cycle of information, managers should accept this challenge and look for appropriate mechanisms. In other words, despite human factors, organizations face the challenge of intentional or unintentional information leakage. Intentional leakage of information in the organization may have happened due to personal greed against organizational interests, where employees are willing to sell the organization's information to competitors for material reasons and prefer their interests over the interests of the organization. Jealousy of a company employee to colleagues or employees of competing companies, being dissatisfied with the company or feeling a grudge for any reason also causes the intentional leakage of information. Disgruntled employees may also intentionally disclose important information to unauthorized parties. Unintentional individual factors with a weight of 0.235 were the second most effective factors on information leakage in Ahvaz International Airport. Also, among unintentional individual sub-factors, negligence with a weight of 0.283 was the most important sub-factor and the use of contract and temporary employees with a weight of 0.133 was the least important sub-factor. An inadvertent leak occurs when an insider inadvertently discloses business-critical information that is not intended to be shared with third parties. Unintentional individual threat is the potential behavior of an individual who has access to the network, system or data of an organization through an accidental act or action, without malicious intent, and causes damage or significantly increases the likelihood of serious damage in the future to confidentiality, integrity Or the value of the organization's information.
Organizational factors with a weight of 0.188 were the third most effective factors on information leakage in Ahvaz International Airport. Also, among the organizational sub-factors, lack of understanding the value of information with a weight of 0.392 was the most important sub-factor and lack of proper intra-organizational communication with a weight of 0.262 was the least important sub-factor. The first is a lack of understanding of the value of information. Employees evaluate information differently depending on the hierarchical level, the type of information and the type of organizational structure. Employees' perception of the value of information is described by various researchers as an important aspect. This lack of awareness leads to the fact that the value of information is not clear, so the negative consequences of information leakage are not taken seriously by them. The second case is inappropriate organizational structure. Large companies are sensitive to data protection in the long term. Smaller companies do not have such extensive awareness. In general, organizational structure in terms of formality and existing control mechanisms may affect information leakage. The third case is the lack of proper communication within the organization. To achieve shared understanding, communication is required to convey a set of necessary values and norms that define the rules or context of interaction. Infrastructural factors with a weight of 0.167 were the fourth most effective factor on information leakage in Ahvaz International Airport. Similarly, among the infrastructure sub-factors, the weakness of information systems with a weight of 0.418 was the most important sub-factor and the presence of security holes in the network infrastructure with a weight of 0.258 was the least important sub-factor. The first is the weakness of information systems. Buying an incomplete information system and weak design of information systems may cause serious problems for organizations. Mechanisms that insiders use to perform business tasks based on their usual information systems can also be used to steal information assets. To prevent leakage and theft of information, mechanisms and protective measures against these methods should be used. The second case is improper use of physical means of data storage (hard drives, USB, CD, etc.). These days, most of the information inside the organization is stored electronically, the media of this information are hard drives, C drives. D. and U. S. etc.) are physical tools that are likely to be physically stolen. Preventing leakage with these devices requires implementing physical security measures. The third thing is the presence of security holes in the network infrastructure. The organization's networks are one of the essential parts of the organization's information technology infrastructure. There are several types of communication in the network. Internal-to-external communication includes any communication that is initiated within the boundaries of the organization and whose destination is outside the organization.
Finally, environmental factors with a weight of 0.133 were the fifth most effective factors on information leakage in Ahvaz International Airport. Also, among the environmental sub-factors, the stakeholders' request for information about security incidents with a weight of 0.416 was the most important sub-factor and the requirements of business partners with a weight of 0.259 was the least important sub-factor. One of the input sources that shape the behavior of people in an organization is the organizational environment. Employee decisions are influenced by environmental structure, the availability of environmental information, and the relevant meaning that employees assign to environmental information. The first case is the request of stakeholders to inform about security incidents. In the recent era, the demand for the type of information leakage events for companies is more intense, external and internal stakeholders are constantly concerned about maintaining a good public image of the organization. Overall, public interest in data breach incidents appears to exert pressure on organizations, while organizational responses are dynamic and appear to change over time. If stakeholder expectations are ignored and social influence is allowed to run its course, political and legal pressure will build, often leading to negative corporate outcomes. Stakeholder dissatisfaction arises when corporate actions do not meet societal expectations, and the gap between corporate actions and stakeholder expectations widens as public trust declines. Therefore, the greater the employees' understanding of information protection as a social expectation, the greater the perception of public leakage events as a threat to the company's image.
In general, the results show that information leakage is a major concern for organizations. In this context, the more the organization depends on information assets, the more relevant the concern of information leakage becomes. In such a situation, the taste of the competitors is stimulated more and more to think of the necessary mechanism to deal with it by getting the information of the organization, while being aware of the related organization's plans. Therefore, the identification of factors affecting information leakage in the form of 21 sub-factors in 5 groups provided the necessary insight to the managers of Ahvaz airport to strengthen the vulnerable points by adopting the necessary measures such as building trust, strengthening the sense of cooperation, observing professional ethics. , using motivational measures, raising awareness of the value of information, proper training of employees regarding information security, redesigning information systems, and designing targeted programs regarding information storage, sharing, and transfer.
Regardless of the type of information leakage and the related motives, the impact of these actions in itself can lead to financial losses, disruption of the organization, loss of reputation and long-term impact on the organizational culture. Although the phenomenon of information leakage may happen in any organization; But considering the opportunities and values that every organization loses as a result, its importance can be understood. For this reason, the consequences of information leakage will be different from one organization to another, and accordingly, its degree of importance will also be different. The study and identification of factors affecting the phenomenon of information leakage is interesting from several aspects. First, the airport environment with the presence of various airlines is an example of a highly competitive market where the actions and operations of the airport are exposed to the customers. The second point is that the customers of the airport system are heterogeneous and may be people of different nationalities. Third point, the issue of security in airport systems is a complex and interesting phenomenon that is provided by the participation of different organizations. The fourth point is that the flow of information in the airport system is intense, intra-organizational and trans-organizational/cross-border. The fifth point is that the occurrence of an error in the flow of information in airport systems can have unfortunate human, financial, and other consequences. Considering these points, the present study was conducted at Ahvaz International Airport. Preventing information leakage is one of the most important security issues at Ahvaz International Airport. Because with the loss of data, the reputation of the airport is damaged and it loses its customers, it has to pay a high cost to fix the damages, and this will sometimes lead to the destruction of the organization. According to the mentioned contents, this research seeks to answer the question, what are the factors affecting organizational information leakage in Ahvaz International Airport? How are they ranked? Hence, the purpose of this study was to identify and rank the factors affecting organizational information leakage in Ahvaz International Airport using the Hierarchical Analysis Process.
Methods
Since the ultimate goal of the current research was to improve the understanding of the problem of information leakage as an important concern for the organization and to find a practical solution to reduce it, it is practical research in terms of the goal. Also, from the point of view of nature, the current research is descriptive-exploratory; Because what follows the data follower approach to "describe" and "interpret" the factors affecting organizational information leakage as it is. The research community was all information security experts in different parts of Ahvaz Airport; that by the snowball method (because it was difficult to identify the experts and the possibility of contacting and accessing them) 15 experts in the information security field of Ahvaz Airport (having relevant work experience of more than 15 years, a master's degree or higher and familiar with security issue and information leakage). In this study, the library method was used to compile the theoretical foundations of the research, the background of the research and the design of the decision tree. Then, the field method was used to distribute the five-point paired comparison questionnaire to collect data. The first questionnaire was taken from the research literature and was distributed among 15 experts using the Delphi technique. Opinions were sought from the expert group of the Delphi study, in the form of sending a structured questionnaire with a 5-point Likert scale, consisting of 22 questions, in two rounds with the participation of 15 people, in such a way that first, the first questionnaire consisting of 22 questions was sent to the members of the Delphi group. After distributing and collecting completed questionnaires and evaluating the results of this Delphi round, 5 main factors and 21 important sub-factors were identified (laws and regulations sub-factor with an average of 2.87±83 and a t value of 0.61 was not recognized as significant and was excluded from the questionnaire for the second round) and after twenty days, from the initial opinion poll, the important factors were re-evaluated in order to conduct the next round of Delphi in the form of a questionnaire with 21 questions related to the important sub-factors, the collected data It showed the confirmation of all subfactors. Finally, the data was analyzed using the hierarchical analysis method and using Expert Choice software.
Resultss and Discussion
Based on the results, 5 main factors and 21 sub-factors affecting organizational information leakage were identified. The weighting and prioritization of indicators showed that intentional individual factors (0.277) ranked first, unintentional individual factors (0.235) ranked second, organizational factors (0.188) ranked third, infrastructural factors (0.167) ranked fourth and environmental factors (0.133) ranked fifth.
Conclusion
The results showed that information leakage is a complex phenomenon that various individual, organizational, infrastructural and environmental factors are involved in its occurrence. However, the first and second rank of the intentional and unintentional dimensions of information leakage by individuals, on the one hand, indicate the complexity of the information leakage phenomenon, and on the other hand, require a review in the strategies related to human resources management in Ahvaz International Airport.
Based on the results, intentional individual factors with a weight of 0.277 were the first effective factors on information leakage in Ahvaz International Airport. Also, among intentional individual sub-factors, personal greed with a weight of 0.232 was the most important sub-factor and the experience of invasion of privacy with a weight of 0.078 was the least important sub-factor. The findings confirmed that intentional information leakage due to human factors should still be of concern to managers. Since it is not possible to abandon human factors in the organizational life cycle of information, managers should accept this challenge and look for appropriate mechanisms. In other words, despite human factors, organizations face the challenge of intentional or unintentional information leakage. Intentional leakage of information in the organization may have happened due to personal greed against organizational interests, where employees are willing to sell the organization's information to competitors for material reasons and prefer their interests over the interests of the organization. Jealousy of a company employee to colleagues or employees of competing companies, being dissatisfied with the company or feeling a grudge for any reason also causes the intentional leakage of information. Disgruntled employees may also intentionally disclose important information to unauthorized parties. Unintentional individual factors with a weight of 0.235 were the second most effective factors on information leakage in Ahvaz International Airport. Also, among unintentional individual sub-factors, negligence with a weight of 0.283 was the most important sub-factor and the use of contract and temporary employees with a weight of 0.133 was the least important sub-factor. An inadvertent leak occurs when an insider inadvertently discloses business-critical information that is not intended to be shared with third parties. Unintentional individual threat is the potential behavior of an individual who has access to the network, system or data of an organization through an accidental act or action, without malicious intent, and causes damage or significantly increases the likelihood of serious damage in the future to confidentiality, integrity Or the value of the organization's information.
Organizational factors with a weight of 0.188 were the third most effective factors on information leakage in Ahvaz International Airport. Also, among the organizational sub-factors, lack of understanding the value of information with a weight of 0.392 was the most important sub-factor and lack of proper intra-organizational communication with a weight of 0.262 was the least important sub-factor. The first is a lack of understanding of the value of information. Employees evaluate information differently depending on the hierarchical level, the type of information and the type of organizational structure. Employees' perception of the value of information is described by various researchers as an important aspect. This lack of awareness leads to the fact that the value of information is not clear, so the negative consequences of information leakage are not taken seriously by them. The second case is inappropriate organizational structure. Large companies are sensitive to data protection in the long term. Smaller companies do not have such extensive awareness. In general, organizational structure in terms of formality and existing control mechanisms may affect information leakage. The third case is the lack of proper communication within the organization. To achieve shared understanding, communication is required to convey a set of necessary values and norms that define the rules or context of interaction. Infrastructural factors with a weight of 0.167 were the fourth most effective factor on information leakage in Ahvaz International Airport. Similarly, among the infrastructure sub-factors, the weakness of information systems with a weight of 0.418 was the most important sub-factor and the presence of security holes in the network infrastructure with a weight of 0.258 was the least important sub-factor. The first is the weakness of information systems. Buying an incomplete information system and weak design of information systems may cause serious problems for organizations. Mechanisms that insiders use to perform business tasks based on their usual information systems can also be used to steal information assets. To prevent leakage and theft of information, mechanisms and protective measures against these methods should be used. The second case is improper use of physical means of data storage (hard drives, USB, CD, etc.). These days, most of the information inside the organization is stored electronically, the media of this information are hard drives, C drives. D. and U. S. etc.) are physical tools that are likely to be physically stolen. Preventing leakage with these devices requires implementing physical security measures. The third thing is the presence of security holes in the network infrastructure. The organization's networks are one of the essential parts of the organization's information technology infrastructure. There are several types of communication in the network. Internal-to-external communication includes any communication that is initiated within the boundaries of the organization and whose destination is outside the organization.
Finally, environmental factors with a weight of 0.133 were the fifth most effective factors on information leakage in Ahvaz International Airport. Also, among the environmental sub-factors, the stakeholders' request for information about security incidents with a weight of 0.416 was the most important sub-factor and the requirements of business partners with a weight of 0.259 was the least important sub-factor. One of the input sources that shape the behavior of people in an organization is the organizational environment. Employee decisions are influenced by environmental structure, the availability of environmental information, and the relevant meaning that employees assign to environmental information. The first case is the request of stakeholders to inform about security incidents. In the recent era, the demand for the type of information leakage events for companies is more intense, external and internal stakeholders are constantly concerned about maintaining a good public image of the organization. Overall, public interest in data breach incidents appears to exert pressure on organizations, while organizational responses are dynamic and appear to change over time. If stakeholder expectations are ignored and social influence is allowed to run its course, political and legal pressure will build, often leading to negative corporate outcomes. Stakeholder dissatisfaction arises when corporate actions do not meet societal expectations, and the gap between corporate actions and stakeholder expectations widens as public trust declines. Therefore, the greater the employees' understanding of information protection as a social expectation, the greater the perception of public leakage events as a threat to the company's image.
In general, the results show that information leakage is a major concern for organizations. In this context, the more the organization depends on information assets, the more relevant the concern of information leakage becomes. In such a situation, the taste of the competitors is stimulated more and more to think of the necessary mechanism to deal with it by getting the information of the organization, while being aware of the related organization's plans. Therefore, the identification of factors affecting information leakage in the form of 21 sub-factors in 5 groups provided the necessary insight to the managers of Ahvaz airport to strengthen the vulnerable points by adopting the necessary measures such as building trust, strengthening the sense of cooperation, observing professional ethics. , using motivational measures, raising awareness of the value of information, proper training of employees regarding information security, redesigning information systems, and designing targeted programs regarding information storage, sharing, and transfer.
ِdr Shahnaz Khademizadeh, Mrs Fatemeh Rafieinasab, Dr Natarajan Radhakrishnan,
Volume 11, Issue 1 (6-2024)
Volume 11, Issue 1 (6-2024)
Abstract
Introduction
With the emergence of the Internet and the expansion of information technologies in the current era, along with the increase in awareness and literacy levels in human societies, there has been a growing interest in accessing information in various fields. One type of information that has always captivated the general public is health-related information, as it directly impacts their quality of life. Health information encompasses a wide range of data that can influence decisions related to individual and social well-being. Electronic health resources play a crucial role in helping individuals manage important health issues, make informed decisions about their health, and communicate with healthcare providers. Studies have shown that internet users not only exhibit better adherence to treatment, reduced anxiety, and a greater sense of security, but also demonstrate improved self-care behaviors compared to those who do not utilize online resources (Riahi, 2017). By seeking health information online, individuals can gain a better understanding of their health status, which in turn can lead to the formation of informed opinions, beliefs, and attitudes towards healthy behaviors, ultimately aiding in making informed decisions regarding healthcare (Ahedzadeh and Sharif, 2017; Brown, Skelly, Chew-Graham, 2020). Therefore, the objective of this study is to explore the health information-seeking behavior of clients within health and treatment networks in Ahvaz city.
Methods and Materoal
The current research is an experimental study conducted using the pre-test and post-test intervention method. The research population consisted of 40 clients from Ahvaz Medical Center, whose average score of health information-seeking behavior was one point below the average. Of these, 20 individuals were randomly assigned to the control group. Additionally, two groups of 20 people each were formed using block randomization: one as the control group and the other as the test group for the intervention. The educational intervention took the form of a 4-hour online training workshop. To assess changes in online health information search behaviors, uncertainty, and cyberchondria in the study group, the Generalized Estimating Equations (GEE) method was utilized. The protocol used for online education on social networks was the SDI protocol (Bhushan 2006, Juyani et al. 2022). A questionnaire served as the data collection tool, completed by the test groups within one month and returned to the researchers. Data collection occurred at baseline (pre-intervention) and at one, two, and three months post-intervention. Baseline scores were used as covariates in the model to adjust for differences between the control and intervention groups. The results of the GEE model reflected changes in the desired factors at the three measurement points post-intervention. Furthermore, Bonferroni's post hoc test was employed to compare the distribution of online health information search scores, uncertainty, and cyberchondria between the two groups at each time point. All analyses were conducted using SPSS software version 26.
Resultss and Discussion
Findings: There was no significant difference in the effect of the educational intervention on changes in the online health information search score (P>0.05). For the control group, the average uncertainty score increased over time. However, there was a significant difference in the effect of the educational intervention on changes in the uncertainty score (P<0.001). Results of the external post-hoc test comparing changes in the uncertainty score between the two intervention groups and the control group showed a significant difference in the distribution of uncertainty scores before the intervention (P>0.046), as well as two and three months after the intervention (P>0.001). Additionally, there was a significant difference in the cyberchondria score before the intervention (P>0.076) and three months after the intervention (P>0.025) in each case.
Conclusion
Health information behavior training is a positive step towards increasing the decision-making self-efficacy of community members and patients. When combined with other efforts to promote health and care, it can lead to improved health outcomes. The effectiveness of educational interventions in different groups depends on the methods, materials, and content used. This study found that a patient educational intervention aimed at teaching information-seeking behavior skills to health center visitors had a positive impact on reducing cyberchondria and increasing certainty. The availability of information search platforms, the type of sources used, and the ability to utilize them based on age requirements are important factors in information seeking (Bahadir and Dundar, 2022). Uncertainty and doubt can drive individuals to seek health information online (Khademizadeh, Rafieinasab and Radhakrishnan, 2024), making educational interventions focused on empowerment dimensions beneficial in improving clinical and psychological outcomes. These interventions can enhance quality of life for both society and patients, taking into account factors such as age, education, occupation, and income status. This research presents a new approach to educational interventions that are cost-effective, accessible, and complication-free for health management and promotion in society.
With the emergence of the Internet and the expansion of information technologies in the current era, along with the increase in awareness and literacy levels in human societies, there has been a growing interest in accessing information in various fields. One type of information that has always captivated the general public is health-related information, as it directly impacts their quality of life. Health information encompasses a wide range of data that can influence decisions related to individual and social well-being. Electronic health resources play a crucial role in helping individuals manage important health issues, make informed decisions about their health, and communicate with healthcare providers. Studies have shown that internet users not only exhibit better adherence to treatment, reduced anxiety, and a greater sense of security, but also demonstrate improved self-care behaviors compared to those who do not utilize online resources (Riahi, 2017). By seeking health information online, individuals can gain a better understanding of their health status, which in turn can lead to the formation of informed opinions, beliefs, and attitudes towards healthy behaviors, ultimately aiding in making informed decisions regarding healthcare (Ahedzadeh and Sharif, 2017; Brown, Skelly, Chew-Graham, 2020). Therefore, the objective of this study is to explore the health information-seeking behavior of clients within health and treatment networks in Ahvaz city.
Methods and Materoal
The current research is an experimental study conducted using the pre-test and post-test intervention method. The research population consisted of 40 clients from Ahvaz Medical Center, whose average score of health information-seeking behavior was one point below the average. Of these, 20 individuals were randomly assigned to the control group. Additionally, two groups of 20 people each were formed using block randomization: one as the control group and the other as the test group for the intervention. The educational intervention took the form of a 4-hour online training workshop. To assess changes in online health information search behaviors, uncertainty, and cyberchondria in the study group, the Generalized Estimating Equations (GEE) method was utilized. The protocol used for online education on social networks was the SDI protocol (Bhushan 2006, Juyani et al. 2022). A questionnaire served as the data collection tool, completed by the test groups within one month and returned to the researchers. Data collection occurred at baseline (pre-intervention) and at one, two, and three months post-intervention. Baseline scores were used as covariates in the model to adjust for differences between the control and intervention groups. The results of the GEE model reflected changes in the desired factors at the three measurement points post-intervention. Furthermore, Bonferroni's post hoc test was employed to compare the distribution of online health information search scores, uncertainty, and cyberchondria between the two groups at each time point. All analyses were conducted using SPSS software version 26.
Resultss and Discussion
Findings: There was no significant difference in the effect of the educational intervention on changes in the online health information search score (P>0.05). For the control group, the average uncertainty score increased over time. However, there was a significant difference in the effect of the educational intervention on changes in the uncertainty score (P<0.001). Results of the external post-hoc test comparing changes in the uncertainty score between the two intervention groups and the control group showed a significant difference in the distribution of uncertainty scores before the intervention (P>0.046), as well as two and three months after the intervention (P>0.001). Additionally, there was a significant difference in the cyberchondria score before the intervention (P>0.076) and three months after the intervention (P>0.025) in each case.
Conclusion
Health information behavior training is a positive step towards increasing the decision-making self-efficacy of community members and patients. When combined with other efforts to promote health and care, it can lead to improved health outcomes. The effectiveness of educational interventions in different groups depends on the methods, materials, and content used. This study found that a patient educational intervention aimed at teaching information-seeking behavior skills to health center visitors had a positive impact on reducing cyberchondria and increasing certainty. The availability of information search platforms, the type of sources used, and the ability to utilize them based on age requirements are important factors in information seeking (Bahadir and Dundar, 2022). Uncertainty and doubt can drive individuals to seek health information online (Khademizadeh, Rafieinasab and Radhakrishnan, 2024), making educational interventions focused on empowerment dimensions beneficial in improving clinical and psychological outcomes. These interventions can enhance quality of life for both society and patients, taking into account factors such as age, education, occupation, and income status. This research presents a new approach to educational interventions that are cost-effective, accessible, and complication-free for health management and promotion in society.
Dr. Afshin Hamdipour, Dr. Hashem Atapour, Negin Kajaiee,
Volume 11, Issue 3 (12-2024)
Volume 11, Issue 3 (12-2024)
Abstract
Purpose: Information-seeking behavior (ISB) is influenced by various aspects of human behavior. The purpose of this research is to identify the personality traits that affect the ISB of graduate students of Tabriz University.
Methods: The current research is practical and has been carried out using a descriptive-survey method. The statistical population of the study was all graduate students of Tabriz University (N=2826), 338 of whom were selected as the statistical sample using a stratified random method, and the questionnaire was distributed among them. In order to analyze the data, descriptive and inferential statistics (frequency, mean and standard deviation and multiple linear regression test) were used.
Findings: The findings of the present study showed that all five dimensions of personality traits (extroversion, conscientiousness, adaptability, acceptance of experience, and neuroticism have a significant effect on the ISB of graduate students of Tabriz University; So that extroversion, conscientiousness, adaptability, and acceptance of experience have a positive effect and neuroticism has a negative effect on their ISB. The results of multiple linear regression also showed that the independent variables, extroversion, conscientiousness, adaptability, acceptance of experience, and neuroticism are significant predictors of ISB, which explain a total of 25.6% of the changes related to the dependent variable. Among the 5 independent variables, the contribution of the variable of conscientiousness with a beta coefficient of 0.220 was more than other variables.
Conclusion: The findings of the present study confirmed the effect of five important personality traits on ISB. It’s expected that librarians and information specialists consider the different aspects of personality traits in ISB and pay attention to the fact that knowledge of these issues will help them in providing effective information services to students.
Mozhgan Oroji, Nadjla Hariri, Fahimeh Babalhavaeji,
Volume 11, Issue 3 (12-2024)
Volume 11, Issue 3 (12-2024)
Abstract
Introduction
Introduction There are many data collections in decision-making and every day a large number of these data are collected in research projects by humans or by devices and in this data, to better understand the issues related to data, we need to first understand the data and the literacy related to them. Data literacy is defined as information by reading, creating and communicating with data: that we can find data, make information about it, learn the tools to work with data, have less management of it. We can have, analyze and refine data, learn to share data and make simple decisions.
Research data management includes; production, access, tools, storage and reuse of research data with sufficient and easy-to-use help in virtual research infrastructures that form the main part of the monitoring cycle, which itself includes ideation. It is to create or receive, evaluate, select, ingest, preserve, store, access, reuse (Cox and Verban, 2014).
Studies on research data management are now common, while there is a global ease of research data, but it continues to be difficult to keep data easily accessible. Session, we know more than yesterday about the role of research data in the design and implementation of new research, but the trends and infrastructure to support researchers in research data management, need. (Varana, 2024).
Considering the research that has been conducted on research data management literacy, the aim of this study is to determine the components and indicators of management literacy. ) and to provide a suitable model for research data management literacy.
Methods and Materoal
The present study was conducted with a quantitative and survey method and aimed at evaluating and validating the tool built using the proposed research model. The statistical population of the National Institute of Higher Education Research and Planning was 112 academic centers affiliated with the Ministry of Science and the total number of faculty members of the humanities and social sciences of the country's public universities was 8,441. Due to the large volume of data, 360 people were selected using cluster sampling. Then, the questionnaire was completed and descriptive statistical methods (mean, deviation indices, frequency table) and inferential statistics (structural equation modeling and exploratory factor analysis) and SPSS and Smart Pls software were used to analyze the data.
Resultss and Discussion
The findings indicate that the six factors of stakeholders, services, policy, types of literacy, data cycle, and financial issues are critical together, explaining 60 percent of the total variance of changes. Also, the highest level of the level is related to the stakeholders factor with a mean of 4.09 and a standard deviation of 0.57, followed by the factors of services, policy, data life cycle, types of literacy, and financial issues, respectively. Using the Pearson correlation coefficient test, it was shown that all components of research data management literacy have a positive and significant correlation with the set at the 0.01 error level. The coefficients of the factor loadings of the subscales of research data management literacy also have a good understanding of the concept of their analysis and have a strong and significant correlation with their belief.
Conclusion
Research data management contributes to scientific integrity at different levels. When research data management literacy is sufficient, research data are accurate, complete, valid, and reliable. The risk of losing or damaging data, as well as the risk of unauthorized access, is minimized. In addition, research data can be shared with others with minimal effort and individuals can easily confirm the results.
The relationships between the components and indicators of research data management literacy from the perspective of faculty members in the humanities and social sciences of Iranian public universities show that higher than any of these components in improving the quality and efficiency of research, research data management literacy has a positive effect. The search for understanding the methods and infrastructures related to data management is a research for individuals to achieve better research results and valuable results. The results of this study show that different levels of research data management literacy among university professors know, and also need to have literacy skills in research data management that they do and create. Collecting, processing, validating, publishing, sharing, and archiving data are involved, and this is a characteristic of good research data management.
Introduction There are many data collections in decision-making and every day a large number of these data are collected in research projects by humans or by devices and in this data, to better understand the issues related to data, we need to first understand the data and the literacy related to them. Data literacy is defined as information by reading, creating and communicating with data: that we can find data, make information about it, learn the tools to work with data, have less management of it. We can have, analyze and refine data, learn to share data and make simple decisions.
Research data management includes; production, access, tools, storage and reuse of research data with sufficient and easy-to-use help in virtual research infrastructures that form the main part of the monitoring cycle, which itself includes ideation. It is to create or receive, evaluate, select, ingest, preserve, store, access, reuse (Cox and Verban, 2014).
Studies on research data management are now common, while there is a global ease of research data, but it continues to be difficult to keep data easily accessible. Session, we know more than yesterday about the role of research data in the design and implementation of new research, but the trends and infrastructure to support researchers in research data management, need. (Varana, 2024).
Considering the research that has been conducted on research data management literacy, the aim of this study is to determine the components and indicators of management literacy. ) and to provide a suitable model for research data management literacy.
Methods and Materoal
The present study was conducted with a quantitative and survey method and aimed at evaluating and validating the tool built using the proposed research model. The statistical population of the National Institute of Higher Education Research and Planning was 112 academic centers affiliated with the Ministry of Science and the total number of faculty members of the humanities and social sciences of the country's public universities was 8,441. Due to the large volume of data, 360 people were selected using cluster sampling. Then, the questionnaire was completed and descriptive statistical methods (mean, deviation indices, frequency table) and inferential statistics (structural equation modeling and exploratory factor analysis) and SPSS and Smart Pls software were used to analyze the data.
Resultss and Discussion
The findings indicate that the six factors of stakeholders, services, policy, types of literacy, data cycle, and financial issues are critical together, explaining 60 percent of the total variance of changes. Also, the highest level of the level is related to the stakeholders factor with a mean of 4.09 and a standard deviation of 0.57, followed by the factors of services, policy, data life cycle, types of literacy, and financial issues, respectively. Using the Pearson correlation coefficient test, it was shown that all components of research data management literacy have a positive and significant correlation with the set at the 0.01 error level. The coefficients of the factor loadings of the subscales of research data management literacy also have a good understanding of the concept of their analysis and have a strong and significant correlation with their belief.
Conclusion
Research data management contributes to scientific integrity at different levels. When research data management literacy is sufficient, research data are accurate, complete, valid, and reliable. The risk of losing or damaging data, as well as the risk of unauthorized access, is minimized. In addition, research data can be shared with others with minimal effort and individuals can easily confirm the results.
The relationships between the components and indicators of research data management literacy from the perspective of faculty members in the humanities and social sciences of Iranian public universities show that higher than any of these components in improving the quality and efficiency of research, research data management literacy has a positive effect. The search for understanding the methods and infrastructures related to data management is a research for individuals to achieve better research results and valuable results. The results of this study show that different levels of research data management literacy among university professors know, and also need to have literacy skills in research data management that they do and create. Collecting, processing, validating, publishing, sharing, and archiving data are involved, and this is a characteristic of good research data management.
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