Aghamohammadzadeh E., Fatahi Valilai O., (2020). A novel cloud manufacturing service composition platform enabled by Blockchain technology. International Journal of Production Research, 58(17), 5280–5298.
- Ahmadi H., Nilashi M., Shahmoradi L., Ibrahim O., Sadoughi F., Alizadeh M., Alizadeh A., (2018). The moderating effect of hospital size on inter and intra-organizational factors of hospital information system adoption. Technological Forecasting and Social Change, 134, 124–149.
Paper not yet in RePEc: Add citation now
- Ajzen I., (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
Paper not yet in RePEc: Add citation now
Alalwan A. A., Dwivedi Y. K., Rana N. P., (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110.
- Alazab M., Alhyari S., Awajan A., Abdallah A. B., (2021). Blockchain technology in supply chain management: An empirical study of the factors affecting user adoption/acceptance. Cluster Computing, 24(1), 83–101.
Paper not yet in RePEc: Add citation now
- Ali F., Nair P. K., Hussain K., (2016). An assessment of students' acceptance and usage of computer supported collaborative classrooms in hospitality and tourism schools. Journal of Hospitality Leisure Sport & Tourism Education, 18, 51–60.
Paper not yet in RePEc: Add citation now
- Aslam J., Saleem A., Khan N. T., Kim Y. B., (2021). Factors influencing blockchain adoption in supply chain management practices: A study based on the oil industry. Journal of Innovation & Knowledge, 6(2), 124–134.
Paper not yet in RePEc: Add citation now
- Aste T., Tasca P., Di Matteo T., (2017). Blockchain technologies: The foreseeable impact on society and industry. Computer, 50(9), 18–28.
Paper not yet in RePEc: Add citation now
- Attig C., Franke T., (2019). I track, therefore I walk – Exploring the motivational costs of wearing activity trackers in actual users. International Journal of Human-Computer Studies, 127, 211–224.
Paper not yet in RePEc: Add citation now
Bai C., Sarkis J., (2020). A supply chain transparency and sustainability technology appraisal model for blockchain technology. International Journal of Production Research, 58(7), 2142–2162.
- Biswas K., Muthukkumarasamy V., Tan W. L., (2017). Blockchain based wine supply chain traceability system [Conference session]. Future Technologies Conference (FTC) 2017.
Paper not yet in RePEc: Add citation now
- Borrero J. D., Yousafzai S. Y., Javed U., Page K. L., (2014). Expressive participation in Internet social movements: Testing the moderating effect of technology readiness and sex on student SNS use. Computers in Human Behavior, 30, 39–49.
Paper not yet in RePEc: Add citation now
- Camerinelli E., (2016). Blockchain in the supply chain. Enrico Camerinelli.
Paper not yet in RePEc: Add citation now
Carnovale S., Yeniyurt S., (2015). The role of ego network structure in facilitating ego network innovations. Journal of Supply Chain Management, 51(2), 22–46.
Chang Y., Iakovou E., Shi W., (2020). Blockchain in global supply chains and cross border trade: A critical synthesis of the state-of-the-art, challenges and opportunities. International Journal of Production Research, 58(7), 2082–2099.
- Chen R.-Y., (2018). A traceability chain algorithm for artificial neural networks using T–S fuzzy cognitive maps in blockchain. Future Generation Computer Systems, 80, 198–210.
Paper not yet in RePEc: Add citation now
Choi T.-M., Feng L., Li R., (2020). Information disclosure structure in supply chains with rental service platforms in the blockchain technology era. International Journal of Production Economics, 221, 107473.
Choi T.-M., Luo S., (2019). Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes. Transportation Research Part E Logistics and Transportation Review, 131, 139–152.
Choi T.-M., Siqin T., (2022). Blockchain in logistics and production from Blockchain 1.0 to Blockchain 5.0: An intra-inter-organizational framework. Transportation Research Part E Logistics and Transportation Review, 160, 102653.
Chong A. Y.-L., Liu M. J., Luo J., Keng-Boon O., (2015). Predicting RFID adoption in healthcare supply chain from the perspectives of users. International Journal of Production Economics, 159, 66–75.
- Chowdhury S., Rodriguez-Espindola O., Dey P., Budhwar P., (2022). Blockchain technology adoption for managing risks in operations and supply chain management: Evidence from the UK. Annals of Operations Research, 327, 539–574.
Paper not yet in RePEc: Add citation now
- Davis F. D., (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340.
Paper not yet in RePEc: Add citation now
DeLone W. H., McLean E. R., (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95.
Dolgui A., Ivanov D., Potryasaev S., Sokolov B., Ivanova M., Werner F., (2020). Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. International Journal of Production Research, 58(7), 2184–2199.
- Duan S. X., Deng H., (2021). Hybrid analysis for understanding contact tracing apps adoption. Industrial Management & Data Systems, 121(7), 1599–1616.
Paper not yet in RePEc: Add citation now
Dubey R., Gunasekaran A., Bryde D. J., Dwivedi Y. K., Papadopoulos T., (2020). Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting. International Journal of Production Research, 58(11), 3381–3398.
- Dubey R., Gunasekaran A., Foropon C. R. H., (2022). Improving information alignment and coordination in humanitarian supply chain through blockchain technology. Journal of Enterprise Information Management. https://doi.org/10.1108/jeim-07-2022-0251.
Paper not yet in RePEc: Add citation now
- Dwivedi A., Jha A., Yadav V., Bansal M., Srivastava H., (2022). A framework for blockchain technology adoption in food supply chain operations and supply chain management in the food industry (pp. 95–114). Springer.
Paper not yet in RePEc: Add citation now
- Edison S. W., Geissler G. L., (2003). Measuring attitudes towards general technology: Antecedents, hypotheses and scale development. Journal of Targeting Measurement and Analysis for Marketing, 12(2), 137–156.
Paper not yet in RePEc: Add citation now
- Fernández-Caramés T., Fraga-Lamas P., (2018). Towards the Internet-of-Smart-clothing: A review on IoT wearables and garments for creating intelligent connected e-textiles. Electronics, 7(12), 405.
Paper not yet in RePEc: Add citation now
- Fishbein M., Ajzen I., (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.
Paper not yet in RePEc: Add citation now
- Fornell C., Larcker D. F., (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Paper not yet in RePEc: Add citation now
- Fosso Wamba S., Kala Kamdjoug J. R., Epie Bawack R., Keogh J. G, . (2020). Bitcoin, Blockchain and Fintech: A systematic review and case studies in the supply chain. Production Planning and Control, 31(2-3), 115–142.
Paper not yet in RePEc: Add citation now
Francisco K., Swanson D., (2018). The supply chain has no clothes: Technology adoption of blockchain for supply chain transparency. Logistics, 2(1), 2.
- Franke T., Attig C., Wessel D., (2017). Assessing affinity for technology interaction–The Affinity for Technology Interaction (ATI) Scale. Unpublished manuscript.
Paper not yet in RePEc: Add citation now
- Franke T., Attig C., Wessel D., (2019). A personal resource for technology interaction: Development and validation of the affinity for technology interaction (ATI) scale. International Journal of Human-Computer Interaction, 35(6), 456–467.
Paper not yet in RePEc: Add citation now
- Gökalp E., Gökalp M. O., Çoban S., (2022). Blockchain-based supply chain management: understanding the determinants of adoption in the context of organizations. Information Systems Management, 39(2), 100–121.
Paper not yet in RePEc: Add citation now
- Gaehtgens F., Allan A., (2017). Digital trust–Redefining trust for the digital era. A Gartner trend insight report. Gart Research.
Paper not yet in RePEc: Add citation now
- Gefen D., Straub D., (2005). A practical guide to factorial validity using PLS-Graph: Tutorial and annotated example. Communications of the Association for Information Systems, 16(1), 5.
Paper not yet in RePEc: Add citation now
- Goodhue D. L., Thompson R. L., (1995). Task-technology fit and individual performance. MIS Quarterly, 19, 213–236.
Paper not yet in RePEc: Add citation now
- Hair J. F. Jr , Hult G. T. M., Ringle C., Sarstedt M., (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
Paper not yet in RePEc: Add citation now
- Hair J. F. Jr , Sarstedt M., Hopkins L., Kuppelwieser V. G., (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26, 106–121.
Paper not yet in RePEc: Add citation now
- Hair J. F., Black W. C., Babin B. J., Anderson R. E., Tatham R. L., (1998). Multivariate data analysis (Vol. 5). Prentice-Hall.
Paper not yet in RePEc: Add citation now
Hair J. F., Hult G. T. M., Ringle C. M., Sarstedt M., Thiele K. O., (2017). Mirror, mirror on the wall: A comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616–632.
- Hair J. F., Sarstedt M., Ringle C. M., Mena J. A., (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433.
Paper not yet in RePEc: Add citation now
- Hair J., Anderson R., Tatham R., Black W., (1998). Multivariate data analysis. Prentice-Hall.
Paper not yet in RePEc: Add citation now
- Henseler J., Ringle C. M., Sarstedt M., (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Paper not yet in RePEc: Add citation now
- Henseler J., Ringle C. M., Sinkovics R. R., (2009). The use of partial least squares path modeling in international marketing New challenges to international marketing (pp. 277–319). Emerald Group Publishing Limited.
Paper not yet in RePEc: Add citation now
- Hew J.-J., Lee V.-H., Ooi K.-B., Wei J., (2015). What catalyses mobile apps usage intention: An empirical analysis. Industrial Management & Data Systems, 115, 1269–1291.
Paper not yet in RePEc: Add citation now
- Isaak J., Hanna M. J., (2018). User data privacy: Facebook, Cambridge Analytica, and privacy protection. Computer, 51(8), 56–59.
Paper not yet in RePEc: Add citation now
- Ivanov D., Dolgui A., (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning and Control, 32, 775–788.
Paper not yet in RePEc: Add citation now
- Jöreskog K. G., (1979). Basic ideas of factor and component analysis. In Jöreskog K. G., Sörbom D., (Eds), Advances in factor analysis and structural equation models (pp. 5–20). ABT Books.
Paper not yet in RePEc: Add citation now
- Kabra G., Ramesh A., Akhtar P., Dash M. K., (2017). Understanding behavioural intention to use information technology: Insights from humanitarian practitioners. Telematics and Informatics, 34(7), 1250–1261.
Paper not yet in RePEc: Add citation now
Kamble S., Gunasekaran A., Arha H., (2019). Understanding the blockchain technology adoption in supply chains-Indian context. International Journal of Production Research, 57(7), 2009–2033.
Karamchandani A., Srivastava S. K., Srivastava R. K., (2020). Perception-based model for analyzing the impact of enterprise blockchain adoption on SCM in the Indian service industry. International Journal of Information Management, 52, 102019.
- Kim H., Laskowski M., (2017). A perspective on blockchain smart contracts: Reducing uncertainty and complexity in value exchange [Conference session]. 2017 26th International Conference on Computer Communication and Networks (ICCCN).
Paper not yet in RePEc: Add citation now
- Kim K. K., Shin H. K., Kim B., (2011). The role of psychological traits and social factors in using new mobile communication services. Electronic Commerce Research and Applications, 10(4), 408–417.
Paper not yet in RePEc: Add citation now
Koh L., Dolgui A., Sarkis J., (2020). Blockchain in transport and logistics–paradigms and transitions. Taylor & Francis.
- Koh L., Orzes G., Jia F., (2019). The fourth industrial revolution (Industry 4.0): Technologies disruption on operations and supply chain management. International Journal of Operations & Production Management, 39, 817–828.
Paper not yet in RePEc: Add citation now
Kshetri N., (2018). 1 blockchain’s roles in meeting key supply chain management objectives. International Journal of Information Management, 39, 80–89.
Kusi-Sarpong S., Gupta H., Sarkis J., (2019). A supply chain sustainability innovation framework and evaluation methodology. International Journal of Production Research, 57(7), 1990–2008.
- Larasati N., Santosa P. I., (2017). Technology readiness and technology acceptance model in new technology implementation process in low technology SMEs. International Journal of Innovation Management and Technology, 8(2), 113–117.
Paper not yet in RePEc: Add citation now
Lee L., Petter S., Fayard D., Robinson S., (2011). On the use of partial least squares path modeling in accounting research. International Journal of Accounting Information Systems, 12(4), 305–328.
Li Z., Guo H., Barenji A. V., Wang W. M., Guan Y., Huang G. Q., (2020). A sustainable production capability evaluation mechanism based on blockchain, LSTM, analytic hierarchy process for supply chain network. International Journal of Production Research, 58(24), 7399–7419.
- Lin J. C., Chang H., (2011). The role of technology readiness in self-service technology acceptance. Managing Service Quality, 21, 424–444.
Paper not yet in RePEc: Add citation now
- Lu Q., Xu X., (2017). Adaptable blockchain-based systems: A case study for product traceability. IEEE Software, 34(6), 21–27.
Paper not yet in RePEc: Add citation now
- Lu Y., Yang S., Chau P. Y. K., Cao Y., (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information Management, 48(8), 393–403.
Paper not yet in RePEc: Add citation now
- Makanyeza C., Mutambayashata S., (2018). Consumers’ acceptance and use of plastic money in Harare, Zimbabwe. The International Journal of Bank Marketing, 36, 379–392.
Paper not yet in RePEc: Add citation now
Martins C., Oliveira T., PopoviÄ A, . (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1–13.
Maruping L. M., Bala H., Venkatesh V., Brown S. A., (2017). Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology. Journal of the Association for Information Science and Technology, 68(3), 623–637.
- Mayer R. C., Davis J. H., Schoorman F. D., (1995). An integrative model of organizational trust. The Academy of Management Review, 20(3), 709–734.
Paper not yet in RePEc: Add citation now
- McKnight D. H., Chervany N. L., (2001). What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology. International Journal of Electronic Commerce, 6(2), 35–59.
Paper not yet in RePEc: Add citation now
- Mital M., Chang V., Choudhary P., Papa A., Pani A. K., (2018). Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach. Technological Forecasting and Social Change, 136, 339–346.
Paper not yet in RePEc: Add citation now
- Modahl M., (1999). Now or never: How companies must change today to win the battle for internet consumers. HarperCollins Publishers.
Paper not yet in RePEc: Add citation now
- Nakamoto S., (2008). Bitcoin: A peer-to-peer electronic cash system. Decentralized Business Review.
Paper not yet in RePEc: Add citation now
Nitzl C., Chin W. W., (2017). The case of partial least squares (PLS) path modeling in managerial accounting research. Journal of Management Control, 28(2), 137–156.
- Nunnally J. C., Bernstein I., (1978).The role of university in the development of entrepreneurial vocations: A Spanish study. In Psychometric theory (pp. 387–405). McGraw-Hill.
Paper not yet in RePEc: Add citation now
- Nunnally J., Bernstein I., (1978). Psychometric theory. McGraw-Hill.
Paper not yet in RePEc: Add citation now
- Ooi K.-B., Lee V.-H., Tan G. W.-H., Hew T.-S., Hew J.-J., (2018). Cloud computing in manufacturing: The next industrial revolution in Malaysia? Expert Systems with Applications, 93, 376–394.
Paper not yet in RePEc: Add citation now
- Ooi K.-B., Tan G. W.-H., (2016). Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card. Expert Systems with Applications, 59, 33–46.
Paper not yet in RePEc: Add citation now
- Parasuraman A., (2000). Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320.
Paper not yet in RePEc: Add citation now
Pattansheti M., Kamble S. S., Dhume S. M., Raut R. D., (2016). Development, measurement and validation of an integrated technology readiness acceptance and planned behaviour model for Indian mobile banking industry. International Journal of Business Information Systems, 22(3), 316–342.
- Peng D. X., Lai F., (2012). Using partial least squares in operations management research: A practical guideline and summary of past research. Journal of Operations Management, 30(6), 467–480.
Paper not yet in RePEc: Add citation now
Pieters J. J., Kokkinou A., van Kollenburg T., (2022). Understanding blockchain technology adoption by non-experts: An application of the unified theory of acceptance and use of technology (UTAUT)[Paper presentation]. Operations Research Forum.
- Pilkington M., (2016). Blockchain technology: Principles and applications. In Xavier Olleros F., Zhegu M., (Eds.), Research handbook on digital transformations. Edward Elgar.
Paper not yet in RePEc: Add citation now
- Podsakoff P. M., MacKenzie S. B., Lee J.-Y., Podsakoff N. P., (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. E-Journal of Applied Psychology, 88(5), 879–903.
Paper not yet in RePEc: Add citation now
Pournader M., Shi Y., Seuring S., Koh S. C. L., (2020). Blockchain applications in supply chains, transport and logistics: A systematic review of the literature. International Journal of Production Research, 58(7), 2063–2081.
Queiroz M. M., Fosso Wamba S., (2019). Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA. International Journal of Information Management, 46, 70–82.
Queiroz M. M., Fosso Wamba S., De Bourmont M., Telles R., (2021). Blockchain adoption in operations and supply chain management: empirical evidence from an emerging economy. International Journal of Production Research, 59, 6087–6103.
- Queiroz M. M., Fosso Wamba S., Machado M. C., Telles R., (2020). Smart production systems drivers for business process management improvement. Business Process Management Journal, 26, 1075–1092.
Paper not yet in RePEc: Add citation now
Rahmanzadeh S., Pishvaee M. S., Rasouli M. R., (2020). Integrated innovative product design and supply chain tactical planning within a blockchain platform. International Journal of Production Research, 58(7), 2242–2262.
Rana N. P., Dwivedi Y. K., Lal B., Williams M. D., Clement M., (2017). Citizens’ adoption of an electronic government system: Towards a unified view. Information Systems Frontiers, 19(3), 549–568.
- Raut R. D., Priyadarshinee P., Gardas B. B., Jha M. K., (2018). Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach. Technological Forecasting and Social Change, 134, 98–123.
Paper not yet in RePEc: Add citation now
Reinartz W., Haenlein M., Henseler J., (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(4), 332–344.
RodrÃguez-EspÃndola O., Chowdhury S., Beltagui A., Albores P., (2020). The potential of emergent disruptive technologies for humanitarian supply chains: The integration of blockchain, artificial intelligence and 3D printing. International Journal of Production Research, 58(15), 4610–4630.
Saberi S., Kouhizadeh M., Sarkis J., Shen L., (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117–2135.
- Saprikis V., Avlogiaris G., Katarachia A., (2020). Determinants of the intention to adopt mobile augmented reality apps in shopping malls among university students. Journal of Theoretical and Applied Electronic Commerce Research, 16(3), 491–512.
Paper not yet in RePEc: Add citation now
Schniederjans D. G., (2017). Adoption of 3D-printing technologies in manufacturing: A survey analysis. International Journal of Production Economics, 183, 287–298.
Sharma S. K., Sharma M., (2019). Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation. International Journal of Information Management, 44, 65–75.
Shin J., Park Y., Lee D., (2018). Who will be smart home users? An analysis of adoption and diffusion of smart homes. Technological Forecasting and Social Change, 134, 246–253.
- Slade E. L., Dwivedi Y. K., Piercy N. C., Williams M. D., (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychology and Marketing, 32(8), 860–873.
Paper not yet in RePEc: Add citation now
- Spenkelink H., (2014). The adoption process of cryptocurrencies-identifying factors that influence the adoption of cryptocurrencies from a multiple stakeholder perspective. University of Twente.
Paper not yet in RePEc: Add citation now
- Sung H.-N., Jeong D.-Y., Jeong Y.-S., Shin J.-I., (2015). The relationship among self-efficacy, social influence, performance expectancy, effort expectancy, and behavioral intention in mobile learning service. International Journal of u- and e- Service Science and Technology, 8(9), 197–206.
Paper not yet in RePEc: Add citation now
- Swan M., (2015). Blockchain: Blueprint for a new economy. O'Reilly Media, Inc.
Paper not yet in RePEc: Add citation now
- Tapscott D., Tapscott A., (2017). How blockchain will change organizations. Sloan Management Review, 58(2), 10.
Paper not yet in RePEc: Add citation now
- Teo T., Zhou M., (2014). Explaining the intention to use technology among university students: A structural equation modeling approach. Journal of Computing in Higher Education, 26(2), 124–142.
Paper not yet in RePEc: Add citation now
- Tian F., (2017). A supply chain traceability system for food safety based on HACCP, blockchain & Internet of things [Conference session]. 2017 International conference on service systems and service management.
Paper not yet in RePEc: Add citation now
Tojib D., Tsarenko Y., (2012). Post-adoption modeling of advanced mobile service use. Journal of Business Research - Turk, 65(7), 922–928.
Tozanlı , Kongar E, Gupta S. M, . (2020). Trade-in-to-upgrade as a marketing strategy in disassembly-to-order systems at the edge of blockchain technology. International Journal of Production Research, 58(23), 7183–7200.
- Underwood S., (2016). Blockchain beyond bitcoin. ACM.
Paper not yet in RePEc: Add citation now
Vatankhah Barenji A., Li Z., Wang W. M., Huang G. Q., Guerra-Zubiaga D. A, . (2020). Blockchain-based ubiquitous manufacturing: A secure and reliable cyber-physical system. International Journal of Production Research, 58(7), 2200–2221.
- Venkatesh V., Morris M. G., Davis G. B., Davis F. D., (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425–478.
Paper not yet in RePEc: Add citation now
- Venkatesh V., Thong J. Y., Xu X., (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36, 157–178.
Paper not yet in RePEc: Add citation now
- Vize R., Coughlan J., Kennedy A., Ellis-Chadwick F., (2013). Technology readiness in a B2B online retail context: An examination of antecedents and outcomes. Industrial Marketing Management, 42(6), 909–918.
Paper not yet in RePEc: Add citation now
- Wamba S. F., Queiroz M. M., (2020). Blockchain in the operations and supply chain management: Benefits, challenges and future research opportunities. Elsevier.
Paper not yet in RePEc: Add citation now
Wamba S. F., Queiroz M. M., Trinchera L., (2020). Dynamics between blockchain adoption determinants and supply chain performance: An empirical investigation. International Journal of Production Economics, 229, 107791.
- Wang Y.-M., Wang Y.-S., Yang Y.-F., (2010). Understanding the determinants of RFID adoption in the manufacturing industry. Technological Forecasting and Social Change, 77(5), 803–815.
Paper not yet in RePEc: Add citation now
Wang Y., Singgih M., Wang J., Rit M., (2019). Making sense of blockchain technology: How will it transform supply chains? International Journal of Production Economics, 211, 221–236.
- Waseem D., Biggemann S., Garry T., (2018). Value co-creation: The role of actor competence. Industrial Marketing Management, 70, 5–12.
Paper not yet in RePEc: Add citation now
- Wong C.-H., Tan G. W.-H., Hew T.-S., Ooi K.-B., (2016). Can mobile TV be a new revolution in the television industry? Computers in Human Behavior, 55, 764–776.
Paper not yet in RePEc: Add citation now
- Wong C.-H., Tan G. W.-H., Loke S.-P., Ooi K.-B., (2015). Adoption of mobile social networking sites for learning? Online Information Review, 39, 762–778.
Paper not yet in RePEc: Add citation now
Wong L.-W., Tan G. W.-H., Lee V.-H., Ooi K.-B., Sohal A., (2020). Unearthing the determinants of blockchain adoption in supply chain management. International Journal of Production Research, 58(7), 2100–2123.
- Yeh C.-C., Chen Y.-F., (2018). Critical success factors for adoption of 3D printing. Technological Forecasting and Social Change, 132, 209–216.
Paper not yet in RePEc: Add citation now
Yoon J., Talluri S., Yildiz H., Sheu C., (2020). The value of blockchain technology implementation in international trades under demand volatility risk. International Journal of Production Research, 58(7), 2163–2183.
- Zhou T., (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085–1091.
Paper not yet in RePEc: Add citation now
- Zuiderwijk A., Janssen M., Dwivedi Y. K., (2015). Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology. Government Information Quarterly, 32(4), 429–440.
Paper not yet in RePEc: Add citation now