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1

Howe, David. "Adopters' Relationships with Their Adopted Children from Adolescence to Early Adulthood." Adoption & Fostering 20, no. 3 (1996): 35–43. http://dx.doi.org/10.1177/030857599602000308.

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Problematic behaviour in adopted teenage children often stems from their very early experiences. In examining the evolution of the relationship between parents and their adopted children from adolescence to early adulthood David Howe identifies three types of adoption, each associated with a distinct pattern of pre-placement care. On the basis of this classification the quality of parent-child relationships is explored at two key stages: when the adopted person is 16 and over 23. In addition, the adopters interviewed in Howe's study provided their own long-term views of the adoption process when looking back. Those who managed to survive the most stressful years often reported much more relaxed, reciprocal relationships with their grown-up children. But they also underlined the importance of expert advice and support to help see them through the worst times. Conclusion
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Jahanmir, Sara F., and Luis Filipe Lages. "The late-adopter scale: A measure of late adopters of technological innovations." Journal of Business Research 69, no. 5 (2016): 1701–6. http://dx.doi.org/10.1016/j.jbusres.2015.10.041.

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3

Ozdemir, S., P. Trott, and A. Hoecht. "Segmenting internet banking adopter and non‐adopters in the Turkish retail banking sector." International Journal of Bank Marketing 26, no. 4 (2008): 212–36. http://dx.doi.org/10.1108/02652320810884777.

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Kumar, Vinod, Michel Fuksa, and Uma Kumar. "Organizational Characteristics of B2B E-Commerce Adopters in the Canadian Manufacturing Sector." Journal of Electronic Commerce in Organizations 16, no. 4 (2018): 1–18. http://dx.doi.org/10.4018/jeco.2018100101.

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This article presents the results of a research project on the adoption of B2B e-commerce (B2Bec) by Canadian manufacturers. The study provides an analysis of the characteristics of organizations which have adopted B2Bec technologies and attempts to outline the features that differentiate adopters from non-adopters. The results of a preliminary analysis show the existence of three distinct B2Bec adopter types: non-adopters, partial-adopters, and full-adopters. Leadership-related variables appear to be the most important determinants of adoption followed by benefits analysis.
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Scholtens, Bert, and Lammertjan Dam. "Banking on the Equator. Are Banks that Adopted the Equator Principles Different from Non-Adopters?" World Development 35, no. 8 (2007): 1307–28. http://dx.doi.org/10.1016/j.worlddev.2006.10.013.

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6

Vodičková, Barbora, Vladimír Večerek, and Eva Voslářová. "The effect of adopter’s gender on shelter dog selection preferences." Acta Veterinaria Brno 88, no. 1 (2019): 93–101. http://dx.doi.org/10.2754/avb201988010093.

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A retrospective analysis of dog adoption records was performed with the aim to determine the differences in preferences of male and female adopters in the Czech Republic. From January 1, 2010 to December 31, 2016, 955 dogs were adopted out of a selected shelter. Significantly (P = 0.03) more dogs were adopted by women than by men (52.6% vs 47.4%, respectively). No preference (P = 0.06) for adopting a dog of the same or opposite sex as the adopter’s was found. Women adopted more (P = 0.02) small dogs and men more (P = 0.004) large dogs, while the adoption rate of medium dogs did not differ (P = 0.16) between men and women. Significantly more (P = 0.05) older dogs were adopted by women than by men. With the exception of brown dogs (adopted more often by women) and black dogs with dark markings (adopted more often by men), dogs with different coat colors were adopted equally by men and women. No difference was found between the ratio of crossbred and purebred dogs adopted by men and women. This study fills gaps in scientific knowledge on adopters’ preferences. Women are more willing to adopt dogs including those that may require special care (older dogs). However, women are less likely to adopt large dogs. The lower number of male adopters may be the reason why large dogs are often reported to be difficult to rehome. To remedy this, shelter operators should explore ways how to address men if they have large dogs available for adoption.
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Yoshima, Ajeng Dhanty, Dwi Remawati, and Muhammad Hasbi. "Sistem Pendukung Keputusan Pengadopsian Anak Menggunakan Metode Analytical Hierarchy Process Dan Metode Perbandingan Eksponensial." Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) 9, no. 1 (2021): 51. http://dx.doi.org/10.30646/tikomsin.v9i1.544.

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YPAB is an institution that keeps and takes care babies and children who don’t have parents. The babies and the children can be adopted, but the institution has their own regulations for potential adopters who want to adopt children. All this time, adopter who adopted the babies or the children from YPAB institution is done manually which need long time. Therefore, DSS is needed for decide a potential adopter. The purpose of this research is developing a DSS in the process of selecting potential adopters. Meanwhile, the research method uses the Analytical Hierarchy Process (AHP) and the Exponential Comparison Method (MPE) and the System testing uses black-box and validity testing. System testing is used black-box and validity testing by comparing the real YPAB data and the calculation system results. The test results show that the adoption system using the Analytical Hierarchy Process (AHP) method and the Exponential Comparison Method (MPE) has a good performance so that the system is feasible to be implemented in YPAB.Keywords: DSS, MPE, Children adoption, YPAB.
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8

Shore, Elsie R. "Returning a Recently Adopted Companion Animal: Adopters' Reasons for and Reactions to the Failed Adoption Experience." Journal of Applied Animal Welfare Science 8, no. 3 (2005): 187–98. http://dx.doi.org/10.1207/s15327604jaws0803_3.

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9

Wang, Li, and Qingpu Zhang. "Identifying the optimal initial adopters and adoption paths of the internet-based intangible network goods." Kybernetes 49, no. 3 (2019): 681–706. http://dx.doi.org/10.1108/k-10-2018-0566.

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Purpose Internet-based intangible network good (IING) has undergone rapid developments, even revolutionized multiple industries in recent years. IING is highly dependent on the rapid diffusion rates for development success. For firms, how to select the initial targets or “seeding points” to accelerate the adoption process is critical in network marketing campaigns. The purpose of this study is to provide a new method to identify the optimal initial adopters and adoption paths. Design/methodology/approach First, the author generalize three aspects influencing IING’s adoption, namely, innovation attributes, customer’s personality and word-of-mouth. Next, we establish a modified gravity model to describe how social interactions affect consumer’s adoption behavior. Then, simulate the adoption process by setting each agent as the initial adopter to identify the optimal initial adopters. Finally, trace the information flow to forecast the adoption paths. Findings The model reveals how individual interactions (micro level) aggregate into the diffusion process (macro level). The optimal initial adopters are determined by a combination of factors as follows: IING’s attributes, the adopter’s diffusion ability, the potential-adopter’s personality and the trust degree between adopters and potential-adopters. Among all these factors, trust degree plays a most important role. Originality/value This study proposes the conceptual model of IING’s adoption from a perspective of dyadic influence, in which an adopter’s influence on its peers depends on pairwise characteristics of both parties. The authors propose a new method to identify the optimal initial adopters and adoption paths based on the gravity model. It is the first time to introduce the gravity model to describe IING’s adoption, which is a creative application of social physics. The findings provide new insights in IING’s adoption and identifying the key nodes in networks.
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Kaur, Kamalpreet, and Mandeep Kaur. "Differentiating Adopters and Non-adopters of Smart Cards: Comparative Analysis of Public, Private and Foreign Sector Banks in India." Vikalpa: The Journal for Decision Makers 38, no. 3 (2013): 67–78. http://dx.doi.org/10.1177/0256090920130305.

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Progressive development in the field of information technology (IT) has brought in remarkable changes in the products as well as methods of payment and settlement system in the banking sector. In India, various types of payment systems are functioning apart from the traditional payment systems where the instruments are physically exchanged and settled manually. Smart cards are a new form of retail payment instrument, installed to facilitate retail transactions through electronic means. In 1999, the Reserve Bank of India issued guidelines to the banks regarding introduction and usage of smart cards. Smart cards are currently being issued by several banks in India which have tied up with Financial Information Network and Operations Ltd. (FINO). The IDBI bank has introduced its smart card called MoneySmart; Corporation Bank has issued CorpSmart; and Bank of India has issued its e-purse cards. PNB, SBI, ABN Amro, ICICI Bank, Bank of Baroda and some other banks have also launched smart card-based banking solutions (Kaur & Kaur, 2008). The main objective of this study is to identify the factors that may vary between the adopters and the non-adopters of smart cards in Indian banks. Banks that have adopted the cards may have different characteristics from those that have not yet adopted the cards. In other words, with the exploration of various characteristics of the banks, the study tries to differentiate between the adopter and non-adopter categories of the banks regarding smart cards with respect to their profitability, size, competitive advantage, efficiency, asset quality, financing pattern, diversification, cost of operations, etc. The empirical results evidently reveal that the banks providing smart cards differ in their characteristics from that of the banks that have not yet adopted it. It shows that the banks that adopted smart cards are larger in size, more efficient, pay lesser wages, and have more industry advantage and thus, in terms of some characteristics, outperform the non-adopter banks.
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11

Koncel, Mary A., and Allen T. Rutberg. "Knowledge, Tradition, and Community Predict Success for BLM Wild Horse Adoptions in Colorado and Texas." Society & Animals 26, no. 4 (2018): 367–87. http://dx.doi.org/10.1163/15685306-12341502.

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Abstract With almost 50,000 wild horses in holding facilities and declining adoption rates, the U.S. Bureau of Land Management’s wild horse adoption program is in crisis. To improve our understanding of Bureau of Land Management wild horse adopters, we conducted three in-depth interviews with 52 adopters in Colorado and Texas, spaced over their first year of adoption. Questions sought information on the adopters, their adopted horses, and their adoption experiences. The participants who completed all three interviews were uniformly satisfied with their adoptions. We argue that three factors inherent to wild horse culture in these states supported adopter satisfaction: adopters’ previous knowledge about horses, a western North American tradition that values wild horses, and participation in wild horse organizations. A lack of this culture in other regions may explain why they are less welcoming to wild horses and have lower rates of adoptions.
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12

Berliner, Rosaria M., Scott Hardman, and Gil Tal. "Uncovering early adopter’s perceptions and purchase intentions of automated vehicles: Insights from early adopters of electric vehicles in California." Transportation Research Part F: Traffic Psychology and Behaviour 60 (January 2019): 712–22. http://dx.doi.org/10.1016/j.trf.2018.11.010.

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13

Onoka, Amara C. "Health challenges of adopted persons." Asian Pacific Journal of Health Sciences 4, no. 4 (2017): 108–13. http://dx.doi.org/10.21276/apjhs.2017.4.4.26.

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14

Magill, M. K. "Adopted." Journal of the American Board of Family Medicine 17, no. 2 (2004): 158–59. http://dx.doi.org/10.3122/jabfm.17.2.158.

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15

Lestari, Dirga, Saida Zainurossalamia ZA, Siti Maria, Wirasmi Wardhani, and Rizky Yudaruddin. "The impact of COVID-19 pandemic on performance of small enterprises that are e-commerce adopters and non-adopters." Problems and Perspectives in Management 19, no. 3 (2021): 467–77. http://dx.doi.org/10.21511/ppm.19(3).2021.38.

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Researchers have emphasized the role of e-commerce for small enterprises in improving their performance. However, there is limited evidence on the use of e-commerce by small enterprises, and e-commerce adopters and non-adopters dealing with COVID-19. Therefore, the purpose of this study is to investigate the differences in the impact of COVID-19 on income between small enterprises that are adopters and non-adopters of e-commerce. This study also explored the impact of restrictions on community activities, the intention to adopt e-commerce, and the types of assistance required by small enterprises due to the pandemic. Data were collected through an online questionnaire survey among small enterprises that operate in the culinary field (1,024 small enterprises in Indonesia). The data were analyzed using descriptive analysis, cross-tabulation, and the Mann-Whitney test. This study finds that non-adoption of e-commerce caused small enterprises to experience a decline in income, which worsened due to restrictions of community activities, compared to adopters of e-commerce. Therefore, to overcome this negativity, small enterprises were pushed to adopt e-commerce. Finally, working capital assistance is the main assistance required due to the pandemic both by e-commerce adopters and non-adopters. This study has significant implications for how small enterprises and governments may benefit from e-commerce dealing with extreme disruptions such as the COVID-19 pandemic. AcknowledgmentWe are grateful to Mulawarman University for providing us with the funding necessary to gather the necessary data for the study and complete this empirical investigation. We also would like to thank two anonymous reviewers and seminar participants at Mulawarman University for their helpful feedback.
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16

Dwivedi, Yogesh, and Zahir Irani. "Understanding the adopters and non-adopters of broadband." Communications of the ACM 52, no. 1 (2009): 122–25. http://dx.doi.org/10.1145/1435417.1435445.

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17

Akbar, Zaki Izzani, Siti Julianingsih Nurfitriyani, Calvin Leonardo, Salicca Dewi Rahajeng, and Harco Leslie Hendric Spits Warnars. "MYANIMACH – Aplikasi Mobile Untuk Membantu Binatang Yang Diabaikan." PETIR 12, no. 2 (2019): 155–64. http://dx.doi.org/10.33322/petir.v12i2.478.

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Currently, there is no specific platform to manage the adoption process for stray animals in Indonesia. This paper describes the design of a Mobile Application created to address this issue in Jakarta, named myAnimach. This app allows strays and potential adopters to meet their needs easier. myAnimach provides a user-friendly, generic user interface to help them find the strays that meet their criteria or make a post about strays in their neighborhood. Users who want to adopt or offer animals to be adopted can log in or create an account on myAnimach. If the user is interested in becoming an adopter, they need to fill the adoption form. There are several stages in the adoption process. The completion of all the stages will result in an issuance of an adoption letter from myAnimach. Aside from adopting animals, users can also look for adopters for their animals by filling out the upload form on the mobile application.
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18

MAST, ELISABETH A., SOYEON SHIM, and GEORGE A. MORGAN. "In-home videotex shopping: potential adopters and non-adopters." Journal of Consumer Studies and Home Economics 15, no. 2 (1991): 133–46. http://dx.doi.org/10.1111/j.1470-6431.1991.tb00654.x.

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19

Venkatraman, Meera P. "Opinion leaders, adopters, and communicative adopters: A role analysis." Psychology and Marketing 6, no. 1 (1989): 51–68. http://dx.doi.org/10.1002/mar.4220060104.

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20

Li, Shu-Chu Sarrina, and Wei-Chun Huang. "Lifestyles, innovation attributes, and teachers' adoption of game-based learning: Comparing non-adopters with early adopters, adopters and likely adopters in Taiwan." Computers & Education 96 (May 2016): 29–41. http://dx.doi.org/10.1016/j.compedu.2016.02.009.

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21

Mathelin, Catherine. "Adopter aujourd'hui ?" Figures de la psychanalyse 5, no. 2 (2001): 139. http://dx.doi.org/10.3917/fp.005.0139.

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22

Juffer, Femmie, and Wendy Tieman. "Being adopted." International Social Work 52, no. 5 (2009): 635–47. http://dx.doi.org/10.1177/0020872809337682.

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English Dutch adoptive parents of 1233 children adopted from China and 412 children adopted from India reported on their children’s interest in adoption and feelings about being adopted. Girls showed more interest in adoption than boys and many children expressed the wish to look white or non-Chinese. French Les parents adoptifs hollandais de 1233 enfants adoptés en provenance de la Chine et de 412 enfants adoptés en provenance de l’Inde rendent compte de l’intérêt de leurs enfants pour l’adoption et de leurs ressentis face à l’adoption. Les filles montrent plus d’intérêt pour l’adoption que les garçons et beaucoup d’enfants ont exprimé le désir de paraître blancs ou non-chinois. Spanish Los padres adoptivos holandeses de 1233 niños de China y 412 niños de India reportaron sobre los intereses de los niños en la adopción y sus sentimientos acerca de ser adoptados. Las niñas mostraron más interés en la adopción que los niños y muchos de ellos expresaron el deseo de parecer blancos o no Chinos.
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23

Feigelman, William. "Adopted Adults." Marriage & Family Review 25, no. 3-4 (1997): 199–223. http://dx.doi.org/10.1300/j002v25n03_05.

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24

Ryan, Scott D., and Blace Nalavany. "Adopted Children." Adoption Quarterly 7, no. 2 (2003): 29–52. http://dx.doi.org/10.1300/j145v07n02_03.

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25

Mathelin, Catherine. "Adopter aujourd'hui ?" La clinique lacanienne 7, no. 1 (2004): 119. http://dx.doi.org/10.3917/cla.007.0119.

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26

Johnquest, Amy. "Adopted Ancestors." Massachusetts Review 59, no. 1 (2018): 97–104. http://dx.doi.org/10.1353/mar.2018.0013.

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27

Carvalho, Marcelo. "Early Security Adopters." International Journal of Computer Applications 72, no. 4 (2013): 45–49. http://dx.doi.org/10.5120/12486-8956.

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28

Whitacre, Brian, and Colin Rhinesmith. "Broadband un-adopters." Telecommunications Policy 40, no. 1 (2016): 1–13. http://dx.doi.org/10.1016/j.telpol.2015.11.008.

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29

Clark, Irene, Emma McWilliam, and Rena Phillips. "Empowering Prospective Adopters." Adoption & Fostering 22, no. 2 (1998): 35–43. http://dx.doi.org/10.1177/030857599802200206.

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30

Westermeyer, Joseph, Gihyun Yoon, Carla Amundson, Marion Warwick, and Michael A. Kuskowski. "Personality disorders in adopted versus non-adopted adults." Psychiatry Research 226, no. 2-3 (2015): 446–50. http://dx.doi.org/10.1016/j.psychres.2014.12.067.

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31

Gürses, İlknur, and Rifat Becerikli. "To be adopted or not to be adopted." Mnemosyne, no. 8 (October 15, 2018): 20. http://dx.doi.org/10.14428/mnemosyne.v0i8.14233.

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Cet article n'est pas disponible au téléchargement en raison du refus de publication de des auteurs en open access
 Il est toutefois disponible à la commande au format papier dans la version complète de la revue sur le site des Presses universitaires de Louvain
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32

Bottani, Eleonora, Luigi Monica, and Giuseppe Vignali. "Safety management systems: Performance differences between adopters and non-adopters." Safety Science 47, no. 2 (2009): 155–62. http://dx.doi.org/10.1016/j.ssci.2008.05.001.

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33

Patsiotis, Athanasios G., Tim Hughes, and Don J. Webber. "Adopters and non‐adopters of internet banking: a segmentation study." International Journal of Bank Marketing 30, no. 1 (2012): 20–42. http://dx.doi.org/10.1108/02652321211195686.

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34

Teo, Thompson SH, Margaret Tan, and Suat Nee Peck. "Adopters and non-adopters of internet stock trading in Singapore." Behaviour & Information Technology 23, no. 3 (2004): 211–23. http://dx.doi.org/10.1080/01449290410001685402.

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35

KVIST, BÉATRICE, VAPPU VIEMERÖ, and NINA FORSTEN. "Barn adopterade till Finland från utomeuropeiska länder." Nordisk Psykologi 41, no. 2 (1989): 97–108. http://dx.doi.org/10.1080/00291463.1989.10636962.

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36

Singha, A. K., R. Bordoloi, P. C. Jat, J. K. Singha, and Merina Devi. "Socio-economic profile of the common adopters of improved practices of crops and livestock enterprises and their problems and suggestive measures-A case study in adopted and non-adopted villages in North Eastern India." Economic Affairs 61, no. 2 (2016): 289. http://dx.doi.org/10.5958/0976-4666.2016.00037.1.

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37

R, Rajendra Prasad G., and Dr Manjunath K. R. "Contemporary Motivation Tools Adopted by Strategic HR Managers." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 2437–42. http://dx.doi.org/10.31142/ijtsrd14594.

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38

Dabrowska, Justyna, Roman Teplov, Ekaterina Albats, Daria Podmetina, and Henry Lopez-Vega. "Where lies the difference between open innovation adopters and non-adopters?" Academy of Management Proceedings 2017, no. 1 (2017): 17691. http://dx.doi.org/10.5465/ambpp.2017.17691abstract.

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39

Yu, Chian-Son. "Using E-Lifestyle to Analyze Mobile Banking Adopters and Non-Adopters." Journal of Global Information Technology Management 18, no. 3 (2015): 188–213. http://dx.doi.org/10.1080/1097198x.2015.1070619.

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40

Sopha, Bertha Maya, Christian A. Klöckner, and Edgar G. Hertwich. "Adopters and non-adopters of wood pellet heating in Norwegian households." Biomass and Bioenergy 35, no. 1 (2011): 652–62. http://dx.doi.org/10.1016/j.biombioe.2010.10.019.

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41

Sterling, Ryan, and Cynthia LeRouge. "On-Demand Telemedicine as a Disruptive Health Technology: Qualitative Study Exploring Emerging Business Models and Strategies Among Early Adopter Organizations in the United States." Journal of Medical Internet Research 21, no. 11 (2019): e14304. http://dx.doi.org/10.2196/14304.

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Background On-demand telemedicine is increasingly adopted by health organizations to meet patient demand for convenient, accessible, and affordable services. Little guidance is currently available to new entrant organizations as they consider viable business models and strategies to harness the disruptive potential of on-demand telemedicine services (in particular, virtual urgent care clinics [VCCs] as a predominant and catalyst form of on-demand telemedicine). Objective We recognized on-demand telemedicine as a disruptive technology to explore the experiences of early adopter organizations as they launch on-demand telemedicine services and deploy business models and strategies. Focusing on VCC service lines, this study addressed the following research questions: (1) what is the emerging business model being deployed for on-demand telemedicine?; (2) what are the core components of the emerging business model for on-demand telemedicine?; and (3) what are the disruptive business strategies employed by early adopter organizations as they launch on-demand telemedicine services? Methods This qualitative study gathered data from 32 semistructured phone interviews with key informants from 19 VCC early adopter organizations across the United States. Interview protocols were developed based on noted dissemination and implementation science frameworks. We used the constant comparison method to transform study data into stable dimensions that revealed emerging business models, core business model components (value proposition, key resources, key processes, and profit formula), and accompanying business strategies. Results Early adopters are deploying business models that most closely align with a value-adding process model archetype. By and large, we found that this general model appropriately matches resources, processes, and profit formulas to support the disruptive potential of on-demand telemedicine. In total, 4 business strategy areas were discovered to particularly contribute to business model success for on-demand disruption among early adopters: fundamental disruptions to the model of care delivery; outsourcing support for on-demand services; disruptive market strategies to target potential users; and new and unexpected organizational partnerships to increase return on investment. Conclusions On-demand telemedicine is a potentially disruptive innovation currently in the early adopter stage of technology adoption and diffusion. On-demand telemedicine must cross into the early majority stage to truly be a positive disruption that will increase accessibility and affordability for health care consumers. Our findings provide guidance for adopter organizations as they seek to deploy viable business models and successful strategies to smooth the transition to early majority status. We present important insights for both early adopters and potential early majority organizations to better harness the disruptive potential of on-demand telemedicine.
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42

Zonabend, Françoise. "Adopter des sœurs." L'Homme, no. 183 (September 1, 2007): 9–28. http://dx.doi.org/10.4000/lhomme.25126.

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Zonabend, Françoise. "Adopter des sœurs." L Homme, no. 183 (June 22, 2007): 9–28. http://dx.doi.org/10.4000/lhomme.8901.

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Simonney, Dominique. "Adopter son Autre." La clinique lacanienne 7, no. 1 (2004): 61. http://dx.doi.org/10.3917/cla.007.0061.

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Hargreaves, Sara. "Erasmus is adopted." Nature 327, no. 6121 (1987): 357. http://dx.doi.org/10.1038/327357d0.

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46

Enserink, M. "CNRS Reforms Adopted." Science 321, no. 5886 (2008): 189d. http://dx.doi.org/10.1126/science.321.5886.189d.

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Fedders, Barbara. "Adopted or Abducted?" Humanity & Society 37, no. 2 (2013): 186–88. http://dx.doi.org/10.1177/0160597613481733.

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48

Handel, Alison Grace. "Growing up Adopted." Adoption & Fostering 16, no. 1 (1992): 39–41. http://dx.doi.org/10.1177/030857599201600107.

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Verhulst, Frank C. "Internationally Adopted Children." Adoption Quarterly 4, no. 1 (2000): 27–44. http://dx.doi.org/10.1300/j145v04n01_03.

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Miller, Brent C., Bruce K. Bayley, Mathew Christensen, et al. "Who Is Adopted?" Adoption Quarterly 5, no. 1 (2001): 23–43. http://dx.doi.org/10.1300/j145v05n01_03.

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