Salman Bin Naeem
Biographic Data
| ID | 7874227 |
|---|---|
| NAME | Salman Bin Naeem |
| GIVEN NAMES | Salman Bin |
| FAMILY NAME | Naeem |
| SIGNATURE | BIN NAEEM S |
| AFFILIATIONS | Department of Information Management, The Islamia University of Bahawalpur, Pakistan |
| ORCID | 0000-0002-0153-1669 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Determinants of agriculture information utilization among farmers
In modern agriculture, information plays a crucial role in increasing productivity and development. Thus, active utilization of agriculture information can be instrumental for the agriculture development and the quality of life of farmers. Despite Pakistan's agriculture-based economy, literature reports that Pakistani farmers do not utilize the information effectively. Therefore, a study was conducted to explore the determinants of agriculture in…
The negative consequences of avoiding health information on health risk behaviors
The study aims at measuring and validating the stimulus organism response (SOR) theory among health consumers, as well as identifying the factors that predict health information avoidance behavior and its relationship to risk behaviors. A cross-sectional survey design was employed to collect the data from health consumers, who have either recently used health services or are likely to do so in the future. An eight-factor (information overload, ri…
Factors influencing artificial intelligence (AI) literacy in the age of generative AI chatbots for health information seeking
Artificial intelligence (AI) literacy plays a significant role in effectively communicating with AI generative chatbots for seeking health information or advice, as well as communicating with healthcare professionals and public health officials. The study aims to identify the factors influencing AI literacy and its subsequent influence on consumers’ behavioral intentions toward seeking health information using generative AI chatbots. A nine-facto…
Exploring the determinants and effects of artificial intelligence (AI) hallucination exposure on generative AI adoption in healthcare
Artificial intelligence (AI) hallucinations—erroneous outputs that generate misleading or nonsensical content—pose significant risks in contexts where consumers seek health information, as inaccuracies in this domain could lead to harmful outcomes. This study aims to explore determinants of AI hallucination exposure (HEX), examine the potential HEX's direct and mediating effects on adoption intentions, and integrate HEX into the Theory of Planned…
Modelling the Predictors of Mobile Health (mHealth) Adoption among Healthcare Professionals in Low-Resource Environments
This study was conducted with objectives to measure and validate the unified theory of the acceptance and use of technology (UTAUT) model as well as to identify the predictors of mobile health (mHealth) technology adoption among healthcare professionals in limited-resource settings. A cross-sectional survey was conducted at the six public and private hospitals in the two districts (Lodhran and Multan) of Punjab, Pakistan. The participants of the …
Integrating Social and Family Support as a Measure of Health Outcomes
(1) Background: Health literacy (HL) is one of the key determinants of health and healthcare outcomes. The objectives of this study are to measure and validate Sørensen et al.'s integrated model of health literacy (IMHL) in a developing country's youth population, as well as to assess the impact of family affluence and social and family support on healthcare domains. (2) Methods: A cross-sectional survey was carried out of undergraduate universit…
Covid-19 Misinformation Online and Health Literacy
Low digital health literacy affects large percentages of populations around the world and is a direct contributor to the spread of COVID-19-related online misinformation (together with bots). The ease and ‘viral’ nature of social media sharing further complicate the situation. This paper provides a quick overview of the magnitude of the problem of COVID-19 misinformation on social media, its devastating effects, and its intricate relation to digi…
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Covid-19 Misinformation Online and Health Literacy
Low digital health literacy affects large percentages of populations around the world and is a direct contributor to the spread of COVID-19-related online misinformation (together with bots). The ease and ‘viral’ nature of social media sharing further complicate the situation. This paper provides a quick overview of the magnitude of the problem of COVID-19 misinformation on social media, its devastating effects, and its intricate relation to digi…
Integrating Social and Family Support as a Measure of Health Outcomes
(1) Background: Health literacy (HL) is one of the key determinants of health and healthcare outcomes. The objectives of this study are to measure and validate Sørensen et al.'s integrated model of health literacy (IMHL) in a developing country's youth population, as well as to assess the impact of family affluence and social and family support on healthcare domains. (2) Methods: A cross-sectional survey was carried out of undergraduate universit…
Modelling the Predictors of Mobile Health (mHealth) Adoption among Healthcare Professionals in Low-Resource Environments
This study was conducted with objectives to measure and validate the unified theory of the acceptance and use of technology (UTAUT) model as well as to identify the predictors of mobile health (mHealth) technology adoption among healthcare professionals in limited-resource settings. A cross-sectional survey was conducted at the six public and private hospitals in the two districts (Lodhran and Multan) of Punjab, Pakistan. The participants of the …
The negative consequences of avoiding health information on health risk behaviors
The study aims at measuring and validating the stimulus organism response (SOR) theory among health consumers, as well as identifying the factors that predict health information avoidance behavior and its relationship to risk behaviors. A cross-sectional survey design was employed to collect the data from health consumers, who have either recently used health services or are likely to do so in the future. An eight-factor (information overload, ri…
Factors influencing artificial intelligence (AI) literacy in the age of generative AI chatbots for health information seeking
Artificial intelligence (AI) literacy plays a significant role in effectively communicating with AI generative chatbots for seeking health information or advice, as well as communicating with healthcare professionals and public health officials. The study aims to identify the factors influencing AI literacy and its subsequent influence on consumers’ behavioral intentions toward seeking health information using generative AI chatbots. A nine-facto…
Exploring the determinants and effects of artificial intelligence (AI) hallucination exposure on generative AI adoption in healthcare
Artificial intelligence (AI) hallucinations—erroneous outputs that generate misleading or nonsensical content—pose significant risks in contexts where consumers seek health information, as inaccuracies in this domain could lead to harmful outcomes. This study aims to explore determinants of AI hallucination exposure (HEX), examine the potential HEX's direct and mediating effects on adoption intentions, and integrate HEX into the Theory of Planned…
Determinants of agriculture information utilization among farmers
In modern agriculture, information plays a crucial role in increasing productivity and development. Thus, active utilization of agriculture information can be instrumental for the agriculture development and the quality of life of farmers. Despite Pakistan's agriculture-based economy, literature reports that Pakistani farmers do not utilize the information effectively. Therefore, a study was conducted to explore the determinants of agriculture in…
Computer Science (5 works) · Psychology (5 works) · Business (3 works) · Health care (3 works) · Mobile Health and mHealth Applications (3 works) · Social Psychology (3 works) · Applied Psychology (2 works) · Artificial Intelligence (2 works) · Artificial Intelligence in Healthcare and Education (2 works) · Economic growth (2 works)