1 THE IMPACT OF SOCIAL MEDIA IN ISLAMIC STUDIES ON CONSUMER BEHAVIOR TOWARDS SMART WATCHES WITH SPECIAL REFERENCE FOR THE CITY OF ISLAMPUR Aishwarya Rakate* Rajarambapu Institute of Technology, Islampur, Maharashtra, India aishurakate@gmail.com Hemlata Gaikwad Rajarambapu Institute of Technology, Islampur, Maharashtra, India hemlata.gaikwad@gmail.com *Correspondence: aishurakate@gmail.com A b s t r a c t s A r t i c l e I n f o Smart watches are trendy fashionable and wearable devices which were introduced in India in recent times. The main objective of this study is to understand the impact of social media in Islam on consumer buying behavior. The quantitative survey investigates the factors that influence user behavior towards smartwatches. Data of 160 respondents was collected and analyzed using SPSS and Microsoft Excel software. It has been observed that smart watches are trending in the digital age with the ability to replace smart phones. The findings of this study reveal various influencing factors such as friends, advertisements but most of the respondents are influenced by social factors to buy smart watches. The findings of this study will be useful for marketers and smart watch manufacturing companies to find out consumer perceptions of smart watches, and in Islamic studies this can be a da'wah facility in spreading goodness by optimizing developing technology. Article History: Received 21 Jul 2022 Revised 27 Aug 2022 Accepted 30 Sep 2022 Available online 15 Nov 2022 ____________________ Keywords: Behaviour; Impact of social media in Islam; Smart watches. Introduction Technological advances in recent years have changed the function of all electronic products (Kandemir and Acur 2022; Kim 1996; Shi, Zhang, and Adhikari 2018; Turhan 2013). Traditional cell phones have become smartphones and just like smart phones, watches have also become smart watches. A smartwatch is a trendy and fashionable wearable device that has basic functions like a watch, as well as features like a smartphone (Ramirez-Correa et al. 2022; Wang and Wang 2022). The smartwatch syncs with the smartphone so that it can be used to attend mobile calls, access notification alerts and be used to keep health records, etc (Jamieson et al. 2019; Jang and Kim 2020). Smartwatches are trendy and fashionable innovative gadgets that have been launched in recent years. A smartwatch is a mini computer that has many functions beyond display time (Gopinath and Sai 2021; Park, Jeong, and Kim 2020). This is one of the latest developments in Religio Education Journal homepage: https://ejournal.upi.edu/index.php/religio/index e-mail: religio.education_journal@upi.edu Religio Education, Volume 2 (2) (2022) 80-91 E R mailto:aishurakate@gmail.com mailto:aishurakate@gmail.com https://ejournal.upi.edu/index.php/religio/index 81 | Religio Education, Nov 2022, Volume 2, Issue 2, 80-91. ISSN e. 2776-3285 p. 2776-3366 the evolution of information technology (Balla 2012). The above statement reflects the idea that smartwatches can detract from customers' attention to other devices, such as smartphones and wrist straps, which easily display important information on the user's wrist (Guo and Sun 2004; Jud, Winkler, and Sirmans 2002; Sagasti 2019). However, a smartwatch can increase user attention as it is a hub that gives access to email, messages and more on our wrist. In addition, the functionality and visibility of a traditional watch can also be maintained as a luxury item. In other words, instead of hiding technology, technology and fashion are combined into one and become a major part of the user's life which will help the user to access the mobile functions in the smartwatch. The advancement of modern technology and the global tapping of mobile devices such as smartwatches and smartphones have resulted in real-time anytime-anywhere accessibility to information (Al-Emran 2021; Das and Zahra 1998; Levi-Bliech et al. 2018). In addition to the concept of 'mobility' which is evolving from technology that is easy to carry to technology that can be used seamlessly (Ilahiane 2013; Silaa, Jazri, and Muyingi 2021). However, although experts and reports indicate that demand for smartwatches will increase in the future, current sales forecasts are still relatively low as per the report (Daily 2013; Meglin, Eliot, and Brooks 2017). In particular, the question of why smartwatches are adopted by consumers remains unanswered. Previous technology acceptance research developed a variety of frameworks (Hamzah, Said, and Supriadi 2021). the development of this technology is an opportunity in Islamic studies to spread Islamic da'wah (Harris and Isa 2019; Parhan et al. 2020). A trend that develops into a facility to spread kindness (Nurdin 2016; Rio Sumarni Shariffudin 2008; Romli et al. 2021). In particular, smartwatches by e.g. Samsung, Apple, Boat have communicated well for many features and functions that appeal to a broad consumer interest which may include health monitoring, fitness and location tracking as well as extended smart features such as communication. As per the results revealed by various recent surveys regarding smartwatch adoption, the market for smartwatches will continue to grow exponentially in 2020 to around 373 million units will be sold out globally. Methods The data collected from primary and secondary data. Primary Data: Primary data, which collected for first time. For the primary data collection, which is done through distribution of questionnaire, observation. For present study, the primary data is collected by filling up questionnaire from college students. Questionnaire: The questionnaire was framed in consultation with Project Guide. The questionnaire aimed at knowing the perception of consumer undergoing this process. Secondary Data: Secondary are those which are collected by someone else. The secondary data is collected through website, company records, and company magazines, internal report. Area of study is the geographical scope is limited to the Islampur city. A study of impact of social media on consumer behavior among the college students towards smart watches with special reference to Islampur city. According to this research title, Respondents are; (1) College students (2) Graduation students (3) Post-graduate students. For the purpose of collection the data the following tools will be used-Observation, Interview and Questionnaire. Sample size for infinite population- Z2 * P* (1-P)/ e2 ,, and sampling technique:Infinite: Non-probability sampling method: Table 1. Sample size for infinite population- Z2 * P* (1-P)/ e2 Confidence level 95% Margin of error 5% Population proportion 50% Rakate, Gaikwad, The Impact of … | 82 ISSN e. 2776-3285 p. 2776-3366 Population size - Alpha divided by 2 0.025 Z score 1.959964 sample size 384 source: from research results The samples are chosen by the method of Convenience sampling method. For the purpose of analysis of collected data, appropriate statistical tools are used. In analysis of data following tools are used-MS excel and SPPS. In this study we approach to the consumers and trying to know why they purchase smart watches and how social media is affecting the buying behaviour of consumer. We collected data to study the effect of smart watches on consumers’ present and the impact of social media. From this study we are trying to get information about the buying behaviour of consumer towards smart watches. We can also study the impact of various social media platform on the consumer buying behaviour. This study will help the manufacturers and marketers trying to print market ratings by experimentally analysing the behavioural intent of using smart watches. Results and Discussion Dr. P. Kishore Kumar1, V. Venkateshwarlu (2017) From this research it is concluded that, smart watches are become want of the consumers. Smart watches are synced with smartphones the emails and messages from social media for notifications. The social media sites had created awareness about smart watches. Customers are likely to own smart watches for performing variety of tasks. Nasser Abdo Saif Almuraqab (2021) This research conducted to know the variables that influence the buying behaviour of consumer towards smart watches. It also studied technological and psychological views of consumers and suggest that the customer consider the smart watches to be a combination of fashion and technology. Consumer consider smart watches as a fashion more than technology. Md. Mahiuddin Sabbira, Sharmin Akterb, Tahsin Tabish Khanc, Amit Das (2020) Smart watches are technological trendy product. The foremost duty of marketer is to identify the factors that are influencing consumers in using the product. This study bring attention to the importance of thinking of smart watches as a both technological and fashion item. (Kuo-Lun Hsiaoa, 2018) The author of this research has studied the user intension to purchase smart watches. The proposed research model improve the understanding of influence of software, hardware, and design. Positive attitude and emotional values are the two factors that affect the buying behaviour of consumer. (Pb, 2020) The researcher studied determining the purpose of continuing to use of smart watches. This model showed that there is significant indirect effect of ease of use on continuous intent, satisfaction, and attitude and felt usefulness in the purpose of maintaining continuity. (Milad Dehghania, 2018)- Smart watches become wearable technology becoming developing dependent industries. This study took into account the constant intent and actual determinants of actual use among smart watch users. (Prome, 2021)- Study conducted is based on the finding out the impact of social media on consumer. It was concluded that the consumers are highly influenced by trend and influencers on social media. Social media express the facts, pictures, activities and post about the company which will increase the consumer loyalty to the company. (Rajkumar, 2021) Study conducted among millennial group to understand the impact of social media marketing. It was concluded that the Facebook playing important role to influence the millennial and create favourable opinion of consumer towards smart watches. It allows a 83 | Religio Education, Nov 2022, Volume 2, Issue 2, 80-91. ISSN e. 2776-3285 p. 2776-3366 clear image and knowledge about the product. The demographic characteristics are regardless while using social media. Data Analysis and Interpretation: Once the required data has been collected, then the collected data was classified and analysed with the help of MS- Excel and SPSS. The findings from this research are presented systematically. Table 2: Following table shows classification of respondents based on gender Classification of variable Frequency Percent Male 88 55..3% Female 72 44.7 Total 160 100 source: from research results Above table shows that 55.3% respondents are male and and 44.7% are females. Table 3: Following table shows classification of respondents on basis of their age Classification of variable Frequency Percent 18-25 88 54.7 26-35 39 24.1 36-45 15 9.8 45 above 18 11.4 Total 160 100 source: from research results Above table shows that 54.7% respondents are 18 to 25 age group, 24.1% respondents are 26 to 35 age group, 9.8% respondents are 36 to 45 age group, and 11.4% respondents are 45 above age group. Table 4: Following table shows classification of respondents on the basis of their educational qualification Classification of variable Frequency Percent 10th 1 0.4% 12th 13 8.2% Graduate 70 44% Post Graduate 63 39% Professionals 13 8.2% Total 160 100 source: from research results Above table shows that 0.4% respondents are in 10th class, 8.2% respondents are in 12th class, 44% respondents are in graduation, 39% respondents are in post-graduation, 8.2% responded are in professional. Rakate, Gaikwad, The Impact of … | 84 ISSN e. 2776-3285 p. 2776-3366 Table 5: Following table shows the classification of respondents based on their occupation. Classification of variable Frequency Percent Student 86 53.5% Farmer 3 2% Self employed 26 16.4% Government employee 14 8.6% Private sector employee 31 19.5% Total 160 100 source: from research results Above table shows that 53.5% respondents are students, two person respondents are farmer, 16.4% response dents are self-employed, 8.6% respondents are government employee, 19.5% respondents are private sector employee. Table 6: Following table shows classification of respondents based on their monthly household income. Classification of variable Frequency Percent Up to 25k 64 39.6 26k – 35k 33 20.8 36k – 45k 30 19 Above 45k 33 20.6 Total 150 100 source: from research results 39.6% of respondents are having their household monthly income is up to 25k. Table 7: Following data shows the users of smart watches. Classification of variable Frequency Percent Yes 143 89.3 No 17 10.7 150 100 source: from research results Above table shows that 89.3% respondents are using smart watches and 10.7% respondents are not using smart watches. Table 8: Following table shows the data of Smart watches brand preferred by respondents. Classification of variable Frequency Percent Samsung 26 15.7 BoAt 64 40.3 Noise 26 16.4 One Plus 25 15.7 Other 19 11.9 Total 160 100 source: from research results 85 | Religio Education, Nov 2022, Volume 2, Issue 2, 80-91. ISSN e. 2776-3285 p. 2776-3366 Above table shows that 15.7% respondents are preferred Samsung brand, 40.3% respondents are preferred BoAt brand, 16.4% respondents are preferred Noise brand, 15.7% respondents are preferred one plus brand. Table 9: Following data shows the benefits that respondents get by using smart watches. Classification of variable Frequency Percent Fitness and Health 108 67.9 Make and receive phone calls 92 57.9 Navigation 48 30.2 Locate your phone and key 42 26.4 Total 160 100 source: from research results Above table shows that 67.9% respondents get benefit from smart watches is fitness and health, 57.9% responders get benefit from smart watches is make and receive phone calls, 30.2% respondents get benefit from smart watches is navigation, 26.4% respondents gate benefit from smartwatches is locate your phone and key. Table 10: Following data shows from whom the respondents get recommendation about smart watches. Classification of variable Frequency Percent Doctors 7 4.4 Friends 73 45.3 Family Members 19 11.9 Own Decision 61 38.4 Total 150 100 source: from research results Above table shows that 4.4% respondents get recommendation about smart watches from doctor, 45.3% respondents get recommendation about smart watches from friends, 11.9% respondents get recommendation about smart watches from family members, 38.4% respondents get recommendation about smart watches from own decision. Table 11: Following table shows that various features which the respondents looks while purchasing smart watches. Classification of variable Frequency Percent OS and app Applications 75 47.2 Fitness Tracking 105 66 Battery Backup 75 47.2 NFC (Online Payment) 35 22 Display 43 27 Total 100 source: from research results Above table shows that 47.2% respondents are looks O.S and App application feature while purchasing smart watches, 66% respondents looks fitness tracking feature while Rakate, Gaikwad, The Impact of … | 86 ISSN e. 2776-3285 p. 2776-3366 purchasing smart watches, 47.2% respondents looks battery backup feature while purchasing smart watches, 22% respondents looks NFC feature while purchasing smart watches, 27% respondents looks display feature while purchasing smart watches. Table 12: Following table shows perception of respondents about the comparing the prices. Classification of variable Frequency Percent Most of the time 66 41.5 Sometime 69 42.8 Seldom 16 10.1 Never 9 5.7 Total 160 100 source: from research results Above table shows that 41.5% respondents are comparing price most of the time, 42.8% respondents are comparing price sometime, 10.1% respondents are comparing price seldom, 5.7% respondents are never comparing price Table 13: Following table shows the influencing factors for the purchase of smart watch. Classification of variable Frequency Percent Friends 41 25.8 Family 26 15.7 Advertisement 35 22 Social Media influencers 58 36.5 Total 160 100 source: from research results Above table shows that 25.8% respondents are influenced by friends, 15.7% respondents are influenced by family, 22% respondents are influenced by advertisement, 36.5% respondents are influenced by social media influencer Table 14. Following table shows the reasons of using smart watches. Classification of variable Frequency Percent Convenient 48 30.2 Reliable 31 18.9 Useful than smart phones 36 22.6 Trendy Fashion 45 28.3 Total 160 100 source: from research results Above table shows that 30.2% respondents are convenient for using smart watches, 18.9% respondents are reliable for using smart watches, 22.6% respondents are Useful than smart phones and 28.3% respondents are using smart watches for trendy fashion. Table 15: Following table shows the price and quality relation while purchasing smart watches. Classification of variable Frequency Percent 87 | Religio Education, Nov 2022, Volume 2, Issue 2, 80-91. ISSN e. 2776-3285 p. 2776-3366 Strongly Agree 39 24.5 Agree 87 54.7 Neutral 24 15.1 Disagree 8 4.2 Strongly Disagree 2 1.5 Total 160 100 source: from research results Above table shows that 24.5% respondents are strongly agree for price and quality relation while purchasing smart watches, 54.7% respondents are agree for price and quality relation while purchasing smart watches, 15.1% respondents are Neutral for price and quality relation while purchasing smart watches, 4.2% respondents are disagree about price and quality relation while purchasing smart watches, 1.5% respondents are strongly disagree for price and quality relation while purchasing smart watches. Table 16: Following table shows the perception of respondents about the security of smart watches. Classification of variable Frequency Percent Yes 98 61 No 12 7.5 May be 50 31.4 Total 160 100 source: from research results Above table shows the 61% respondents perception are yes about the security of smart watches, 7.5% respondents perception are no about the security of smart watches, 31.4% respondents perception are May be about the security of smart watches. Table 17: Following table shows that the perception of respondents about smart phones can replace by smart watches. Classification of variable Frequency Percent Strongly Agree 42 25.8 Agree 73 45.9 Neutral 37 23.3 Disagree 6 3.6 Strongly Disagree 2 1.4 Total 160 100 source: from research results Above table shows that 25.8% respondents perception are strongly agree about smart phones can be replace by smart watches, 45.9% respondents perception are agree about smart phones can replace by smart watches, 23.3% respondents perception are neutral about smart phones can be replace by smart watches, 3.6% respondents perception are disagree about smart phones can be replace by smart watches, 1.4% respondents perception are strongly disagree about smart phones can be replace by smart watches. Rakate, Gaikwad, The Impact of … | 88 ISSN e. 2776-3285 p. 2776-3366 Table 18: Following table shows that the respondents are recommending smart watches to their friends or not. Classification of variable Frequency Percent Definitely will 72 44.7 Probably will 70 44 Probably won’t 14 8.8 Definitely won’t 4 2.5 Total 160 100 source: from research results Above table shows that 44.7% respondents are recommending definitely smart watch to their friends, 44% respondents recommend probably smart watch to their friends, 8.8% respondents recommend probably won’t the smart watch to their friends and 2.5% respondents recommend definitely won’t smart watch to their friends. Findings Male and female both respondents were studies as a research was conducted on impact of social media on consumer behaviour towards smart watches. 54.7% of respondents are belongs to 18-25 age group and 39% are belongs to 26-35 age group. 44% and 39% of respondents are completed their graduation and post-graduation respectively. 53.5% respondents are students and remaining includes farmers, self-employed, government servants and private job holders. 39.6% of respondents are having their household monthly income is up to 25k. 89.3% respondents are using smart watches. 40.3% respondents are using BoAt brand and 16.4% are using smart watches of brand Noise. 67.9% respondents use their smart watches for the purpose of fitness and health. 45.3% respondents using smart watches on the recommendation of their friends. 66% respondents are looking smart watches for the feature fitness tracking. 42.8% respondents comparing the prices of smart watches. 36.5% respondents are influenced by social media influencers to purchase smart watches.30.2% respondents are think that the smart watch is convenient to use and 28.3% respondents are using because of trendy fashion. 54.7% respondents think that price/quality relation is important while purchasing smart watches. 61% respondents are agree with the smart watches are secure. 45.9% respondents are thought that smart phones can be replaced by smart watches. 44.7 % respondents are definitely recommend smart watches to others. Conclusion The main objective of study was to understand the impact of social media on consumer behaviour towards smart watches, factors influencing the consumer buying behaviour, importance to the price and quality relationship while purchasing smart watches. It is observed that in last few years the awareness of consumer towards smart watches has increased. Some think that the smart watches are very convenient and user friendly technology which has power to replace smart phones. The consumers are enough aware about smart watches and most of the users use smart watches using smart watches on recommendation of friends. The crowd using smart watches is mostly students than working people and self-employed. The consumers of smart watches are mainly influenced by social media influencers. Such study will helpful for the smart watch manufacturing companies, to the society to understand the perception of users towards smart watches and impact of social media on their behaviour. 89 | Religio Education, Nov 2022, Volume 2, Issue 2, 80-91. ISSN e. 2776-3285 p. 2776-3366 References Almuraqab, N. A. 2021. Determinants that Influence Consumers’ Intention to Purchase Smart Watches in the UAE: A Case of University Students . Advances in Science, Technology and Engineering System, 1249-1256 . Al-Emran, Mostafa. 2021. “Evaluating the Use of Smartwatches for Learning Purposes through the Integration of the Technology Acceptance Model and Task-Technology Fit.” International Journal of Human–Computer Interaction 37(19):1874–82. doi: 10.1080/10447318.2021.1921481. Balla, Steven J. 2012. “Information Technology, Political Participation, and the Evolution of Chinese Policymaking.” Journal of Contemporary China 21(76):655–73. doi: 10.1080/10670564.2012.666835. Daily, Eileen M. 2013. “The Promise of Mobile Technology for Public Religious Education.” Religious Education 108(2):112–28. doi: 10.1080/00344087.2013.767653. Das, Sidhartha R., and Shaker A. Zahra. 1998. “Technology Strategies for Companies Operating in Global Markets.” Journal of Transnational Management Development 4(1):25–50. doi: 10.1300/J130v04n01_03. Del hawkins, D. L. (n.d.). Consumer Behaviour. Delhi: Mc Grew Hill. Gopinath, Krishnan, and Lokachari Prakash Sai. 2021. “A Study on the Positioning of the Brand Variants by Smartwatch Manufacturers: A Technometrics Approach.” Technology Analysis & Strategic Management 1–15. doi: 10.1080/09537325.2021.1980210. Guo, Jingzhi, and Chengzheng Sun. 2004. “Global Electronic Markets and Global Traditional Markets.” Electronic Markets 14(1):4–12. doi: 10.1080/1019678042000175252. Hamzah, Rodey Hamza Bin, Mohd Zohdi Bin Said, and Udin Supriadi. 2021. “Dynamic analysis study: impact of tiktok applications on character education in covid-19 pandemic.” Religio Education 1(2):117–24. doi: https://doi.org/10.17509/re.v1i2.41347. Harris, Rachel, and Aziz Isa. 2019. “Islam by Smartphone: Reading the Uyghur Islamic Revival on WeChat.” Central Asian Survey 38(1):61–80. doi: 10.1080/02634937.2018.1492904. Ilahiane, Hsain. 2013. “Catenating the Local and the Global in Morocco: How Mobile Phone Users Have Become Producers and Not Consumers.” The Journal of North African Studies 18(5):652–67. doi: 10.1080/13629387.2013.849894. Jamieson, Matthew, Mattia Monastra, Graeme Gillies, Rumen Manolov, Breda Cullen, Marilyn McGee-Lennon, Stephen Brewster, and Jonathan Evans. 2019. “The Use of a Smartwatch as a Prompting Device for People with Acquired Brain Injury: A Single Case Experimental Design Study.” Neuropsychological Rehabilitation 29(4):513–33. doi: 10.1080/09602011.2017.1310658. Jang, Jinkyu, and Jinwoo Kim. 2020. “Healthier Life with Digital Companions: Effects of Reflection-Level and Statement-Type of Messages on Behavior Change via a Perceived Companion.” International Journal of Human–Computer Interaction 36(2):172–89. doi: 10.1080/10447318.2019.1615722. Jud, G., Daniel Winkler, and Stacy Sirmans. 2002. “The Impact of Information Technology on Real Estate Licensee Income.” Journal of Real Estate Practice and Education 5(1):1–16. doi: 10.1080/10835547.2002.12091580. Kandemir, Destan, and Nuran Acur. 2022. “How Can Firms Locate Proactive Strategic Rakate, Gaikwad, The Impact of … | 90 ISSN e. 2776-3285 p. 2776-3366 Flexibility in Their New Product Development Process?: The Effects of Market and Technological Alignment.” Innovation 24(3):407–32. doi: 10.1080/14479338.2021.1952876. Kim, Jong-Jin. 1996. “Intelligent Building Technologies: A Case of Japanese Buildings.” The Journal of Architecture 1(2):119–32. doi: 10.1080/136023696374712. Kishore Kumar, V. V. 2017. Consumer Perception and Purchase Intention towards Smartwatches . Journal of Business and Management (IOSR-JBM) , 26-28 Kuo-Lun Hsiaoa, C.-C. C. 2018. What drives smartwatch purchase intention? Perspectives from hardware, software, design, and value . Telematics and infomatics , 103-113. Levi-Bliech, Michal, Gali Naveh, Nava Pliskin, and Lior Fink. 2018. “Mobile Technology and Business Process Performance: The Mediating Role of Collaborative Supply–Chain Capabilities.” Information Systems Management 35(4):308–29. doi: 10.1080/10580530.2018.1503803. Meglin, Joellen A., Karen Eliot, and Lynn Matluck Brooks. 2017. “Kinetic, Mobile, and Modern: Dance and the Visual Arts.” Dance Chronicle 40(3):243–58. doi: 10.1080/01472526.2017.1375278. Mahiuddin Sabbira, S. 2020. Exploring Factors Affecting Consumers’ Intention to Use Smartwatch in Bangladesh: An Empirical Study. Asia Pacific Journal of Information Systems , 636-663 Milad Dehghania, K. J. 2018. Will smartwatches last? factors contributing to intention to keep using smart wearable technology . Telematics and infomatics, 480- 490. Nurdin, Arbain. 2016. “Inovasi Pembelajaran Pendidikan Agama Islam Di Era Information and Communication Technology.” TADRIS: Jurnal Pendidikan Islam 11(1):49. doi: 10.19105/tjpi.v11i1.971. Pb, R. I. (2020). Understanding the Antecedents to Smart Watch User’s Continuance Intention . international journal of business. Parhan, Muhamad, Devi Indah Nur’aeni Lukman, Anggi Anggella Hikhmalia, and Asri Ananda Afsari A. Rosid. 2020. “Aktualisasi Iman Dan Taqwa Terhadap Penggunaan Smartphone Di Kalangan Mahasiswa.” HIKMAH: Jurnal Ilmu Dakwah Dan Komunikasi Islam 14(2):255– 70. doi: https://doi.org/10.24952/hik.v14i2.3210. Park, Kyeongjin, Meuel Jeong, and Kyungdoh Kim. 2020. “Usability Evaluation of Menu Interfaces for Smartwatches.” Journal of Computer Information Systems 60(2):156–65. doi: 10.1080/08874417.2018.1425644. Prome, S. s. 2021. Impact of social media on buying behaviour of consumers in digital bangladesh. Master thesis in Business administration. Rajkumar, D. S. 2021. Impact of soicla media marketing on consumer behaviour of millenials towards smart watches. Turkish online journal of qualitative inquiry, 6932-6944. Ramirez-Correa, Patricio, F. Javier Rondán-Cataluña, Jorge Arenas-Gaitán, and Tarcilla Mariano Mello. 2022. “Is Your Smartphone Ugly? Importance of Aesthetics in Young People’s Intention to Continue Using Smartphones.” Behaviour & Information Technology 41(1):72–84. doi: 10.1080/0144929X.2020.1795259. Rana Saeed Al-Maroof 1, K. A. (2021). User Acceptance of Smart Watch for Medical Purposes: An Empirical Study. 27. 91 | Religio Education, Nov 2022, Volume 2, Issue 2, 80-91. ISSN e. 2776-3285 p. 2776-3366 Rio Sumarni Shariffudin. 2008. “Design of instructional materials for teaching and learning purposes: theory into practice.” Malaysia Education Deans’ Council Journal. Romli, Usup, Jenuri, Dina Mayadiana Suwarma, Mohammad Rindu Fajar Islamy, and Muhamad Parhan. 2021. “Pengembangan media pembelajaran akidah dengan konsep ‘qurani’ berbasis ict untuk siswa sekolah.” Jurnal Pendidikan Dan Pengajaran Guru Sekolah Dasar (JPPGuseda) 4(1):60–64. Sagasti, Francisco. 2019. “Information Technology and the Arts: The Evolution of Computer Choreography during the Last Half Century.” Dance Chronicle 42(1):1–52. doi: 10.1080/01472526.2019.1575661. Shi, Hao, Min Zhang, and Benu Adhikari. 2018. “Advances of Electronic Nose and Its Application in Fresh Foods: A Review.” Critical Reviews in Food Science and Nutrition 58(16):2700–2710. doi: 10.1080/10408398.2017.1327419. Silaa, Julius, Husin Jazri, and Hippolyte Muyingi. 2021. “A Study on the Use of Mobile Computing Technologies for Improving the Mobility of Windhoek Residents.” African Journal of Science, Technology, Innovation and Development 13(4):479–93. doi: 10.1080/20421338.2020.1838083. Singh, S. (2020). Social media and its imapct on user behaviour. Journal of content, community and communication, 2395-7514. Turhan, Gülden. 2013. “An Assessment towards the Acceptance of Wearable Technology to Consumers in Turkey: The Application to Smart Bra and t-Shirt Products.” The Journal of The Textile Institute 104(4):375–95. doi: 10.1080/00405000.2012.736191. Wang, Zilong, and Jian Wang. 2022. “Do the Emotions Evoked by Interface Design Factors Affect the User’s Intention to Continue Using the Smartwatch? The Mediating Role of Quality Perceptions.” International Journal of Human–Computer Interaction 1–16. doi: 10.1080/10447318.2022.2041903.