PurposeIndigenous knowledge is an essential element for unveiling the evolutionary journey of socio-culture phenomena. One of the key challenges in foresight exercises is to incorporate social-culture issues such as culture, lifestyle and behavior (referred as indigenous knowledge) into the study. However, the statistical trends of those factors tend to be either not available or limited unlike the population or economic related factors. The purpose of this study is to present the use of valuable data from indigenous knowledge to enhance the foresight exercise through the better understanding of social dynamics and changes.Design/methodology/approachThe fragmented form of indigenous knowledge is analyzed and converted into a structured data format and then interpreted to unveil the evolutionary journey of socio-cultural phenomena. This study applies a scenario development method to visualize the results of foresight by comparing before and after the integration of indigenous knowledge. Finally, an assessment was conducted to reflect the value enhancement resulting from the integration of indigenous knowledge into the foresight process.FindingsWith the proposed approach, the foresight study on the future development of Thai food was demonstrated. The findings of this study show that the use of indigenous knowledge on eating behavior, cooking style and food flavor helps improve the alternative scenarios for the future development of Thai foods.Practical implicationsIndigenous knowledge can be applied to develop plausible scenarios and future images in foresight exercises. However, by nature, indigenous knowledge is not well-structured and, therefore, needs to be analyzed and turned into structured data so that it can be interpreted before integrating into the foresight process.Originality/valueThis study is one of few studies addressing the opportunities for integrating indigenous knowledge into foresight process. Indigenous knowledge can unveil the evolution of socio-cultural changes to improve the results of foresight study, especially the cases where statistical data and trends may not be sufficient to foresee future development.
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Prince Sattam Bin Abdulaziz Univ, Coll Pharm, Dept Pharmacognosy, Al Kharj, Saudi Arabia
Egyptian Russian Univ, Fac Pharm, Dept Pharmacognosy, Badr City, Cairo, EgyptUniv Dhaka, Fac Pharm, Dept Pharm, Dhaka, Bangladesh
Sweilam, Sherouk Hussein
Das, Rajib
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Univ Dhaka, Fac Pharm, Dept Pharm, Dhaka, BangladeshUniv Dhaka, Fac Pharm, Dept Pharm, Dhaka, Bangladesh
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Department of Clinical Pharmacy, College of Dentistry & Pharmacy,Buraydah Private CollegesDepartment of Pharmacy, Faculty of Pharmacy,University of Dhaka
Mehrukh Zehravi
Sherouk Hussein Sweilam
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Department of Pharmacognosy, College of Pharmacy,Prince Sattam Bin Abdulaziz University
Department of Pharmacognosy, Faculty of Pharmacy,Egyptian Russian UniversityDepartment of Pharmacy, Faculty of Pharmacy,University of Dhaka
Sherouk Hussein Sweilam
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Rajib Das
Mylsamy Palanisamy
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Boehringer Ingelheim Pharmaceuticals IncDepartment of Pharmacy, Faculty of Pharmacy,University of Dhaka
Mylsamy Palanisamy
Venkata Lakshamana Sagar Dantinapalli
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Veranova,DavensDepartment of Pharmacy, Faculty of Pharmacy,University of Dhaka
Venkata Lakshamana Sagar Dantinapalli
Selvaraja Elumalai
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Granules Pharmaceuticals IncDepartment of Pharmacy, Faculty of Pharmacy,University of Dhaka
Selvaraja Elumalai
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Jeetendra Kumar Gupta
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Mohammed Ali Alshehri
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Mohammed Asiri
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Irfan Ahmad
Mohamed HNafady
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Department of Radiology and Medical Imaging Technology,Faculty of Applied Health Science Technology,Misr University for Science and TechnologyDepartment of Pharmacy, Faculty of Pharmacy,University of Dhaka
Mohamed HNafady
Talha Bin Emran
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Department of Pharmacy,Faculty of Health and Life Sciences,Daffodil InternationalDepartment of Pharmacy, Faculty of Pharmacy,University of Dhaka