nach oben

Erschienen in:

2024 | OriginalPaper | Buchkapitel

Quantifying the Dynamic Enablers of Blockchain Technology to Achieve Operating Performance: A Conceptual Framework

verfasst von : Gaurav Kumar Singh, Manish Dadhich, Kamal Kant Hiran

Erschienen in: Global Economic Revolutions: Big Data Governance and Business Analytics for Sustainability

Verlag: Springer Nature Switzerland

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The evolution of Blockchain has revolutionized supply chain activities and has impacted numerous organizational functions. This research investigates the applications of Blockchain in the supply chain management of Indian cement industry. A sample of 285 retail industry suppliers (Delhi/NCR) was taken. The information is gathered using a structured questionnaire based on a five-point Likert scale and convenience sampling. Eight constructs with 34 manifests were discovered from previous studies, hypotheses are evaluated using factor analysis, and the model fit is achieved using confirmatory factor analysis (CFA) and structural equation modelling (SEM). Applications of blockchain technology will have a favorable impact on the supply chain of the cement industry because it offers better transparency in the supply chain, flexibility, sustainable process & transportation, effective utilization, and various relative benefits. The proposed model is the first to empirically substantiate and evaluate the multimodal framework in which applications of Blockchain act as a mediator to achieve operational performance. As a result, blockchain models should be implemented throughout the supply chain, which will benefit all stakeholders.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Does Blockchain Technology Adoption Affect Decision-Making Performance: Evidence from Jordan

Nächstes Kapitel Factors Affecting Behavioral Intention to Use Digital Currency in the Kingdom of Bahrain

Ali, B.J.A., et al.: Integration of supply chains and operational performance: the moderating effects of knowledge management. Inf. Sci. Lett. 11(4), 1069–1076 (2022). https://doi.org/10.18576/isl/110407

AL-Nawaiseh, K., Alawamleh, H., Al-Shibly, M., Almari, M.: The relationship between the enterprise resource planning system and maintenance planning system: an empirical study. Inf. Sci. Lett. 11(5), 1335–1343 (2022). https://doi.org/10.18576/isl/110502

Al-Rawashdeh, O.M., Jawabreh, O., Ali, B.J.A.: Supply chain management and organizational performance: the moderating effect of supply chain complexity. Inf. Sci. Lett. 12(3) (2023). https://doi.org/10.18576/isl/120351

Addis, S:. Study on the application of statistical quality control techniques in shoe manufacturing for quality improvements. Eur. J. Eng. Technol. 7(6) (2019)

Agrawal, N., Agrawal, N.M.: Modeling Deming’s quality principles to improve performance using interpretive structural modeling and MICMAC analysis. Int. J. Qual. Reliab. Manag. 36(7), 1159–1180 (2019). https://doi.org/10.1108/IJQRM-07-2018-0204CrossRef

Aguirre-Urreta, M.I.: Detecting common method bias: performance of the Harman’s single-factor test. Adv. Inf. Syst. 50(2), 45–70 (2019). https://doi.org/10.1145/3330472.3330477CrossRef

Jain, A.: The concept of triple bottom line reporting and India’s perspective. Indian J. Appl. Res. 4(5), 128–130 (2014)

AlRowaiei, W.A., Oudat, M.S., Ali, J.A.: The relationship between non-performing loans and the performance of commercial banks listed on bahrain stock exchange: empirical study. Inf. Sci. Lett. 10(S1), 55–70 (2021). https://doi.org/10.18576/isl/10S10

Anil, A., Technology, K.S.-P.: Investigating the relationship between TQM practices and Firm’s performance: a conceptual framework for Indian organizations. Elsevier (2016)

Baird, K., Hu, K.J., Reeve, R.: The relationships between organizational culture, total quality management practices and operational performance. Int. J. Oper. Prod. Manag. 31(7), 789–814 (2011). https://doi.org/10.1108/01443571111144850CrossRef

Benzaquen, J., Charles, V.: A stratified bootstrapping approach to assessing the success of TQM implementation in Peruvian companies. Total Qual. Manag. Bus. Excell. 33, 1–24 (2020). https://doi.org/10.1080/14783363.2020.1816165CrossRef

Bouranta, N., Psomas, E., Suárez-Barraza, M.F., Jaca, C.: The key factors of total quality management in the service sector: a cross-cultural study. Benchmarking 26(3), 893–921 (2019). https://doi.org/10.1108/BIJ-09-2017-0240CrossRef

Calvo-Mora, A., Picón-Berjoyo, A., Ruiz-Moreno, C., Cauzo-Bottala, L.: Contextual and mediation analysis between TQM critical factors and organisational results in the EFQM excellence model framework. Int. J. Prod. Res. 53(7), 2186–2201 (2015). https://doi.org/10.1080/00207543.2014.975859CrossRef

Cantele, S., Zardini, A.: Is sustainability a competitive advantage for small businesses? An empirical analysis of possible mediators in the sustainability financial performance relationship. J. Clean. Prod. 182, 166–176 (2018). https://doi.org/10.1016/j.jclepro.2018.02.016CrossRef

Pinto, C.A.S., Reis, A.D.C., Braga, M.: The supply chain as part of knowledge management in organisational environments. Int. J. Logistics Syst. Manag. 36(3), 385–398 (2020). https://doi.org/10.1504/IJLSM.2020.108693CrossRef

Casino, F., Dasaklis, T.K., Patsakis, C.: A systematic literature review of blockchain-based applications: current status, classification and open issues. Telematics Inform. 36, 55–81 (2019). https://doi.org/10.1016/j.tele.2018.11.006CrossRef

Dadhich, M.: An analysis of volatility of macro economic variables on gold price. Pac. Bus. Rev. Int. 9(12), 21–25 (2017)

Dadhich, M., Hiran, K.K., Rao, S.S., Sharma, R.: Impact of Covid-19 on teaching-learning perception of faculties and students of higher education in Indian purview. J. Mob. Multimedia 18(4), 957–980 (2022). https://doi.org/10.13052/jmm1550-4646.1841

Dadhich, M., Hiran, K.K., Rao, S.S., Sharma, R., Meena, R.: Study of combating technology induced fraud assault (TIFA) and possible solutions: the way forward. In: Balas, V.E., Sinha, G.R., Agarwal, B., Sharma, T.K., Dadheech, P., Mahrishi, M. (eds.) Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT, pp. 715–723. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-07012-9_59

Dadhich, M., Kant, K.: Empirical investigation of extended TOE model on corporate environment sustainability and dimensions of operating performance of SMEs: a high order PLS-ANN approach. J. Clean. Prod. 363, 1–16 (2022). https://doi.org/10.1016/j.jclepro.2022.132309CrossRef

Dadhich, M., Poddar, S., Kant, K.: Antecedents and consequences of patients’ adoption of the IoT 4.0 for e-health management system: a novel PLS-SEM approach. Smart Health 25(5), 1–14 (2022). https://doi.org/10.1016/j.smhl.2022.100300

Dadhich, M., Purohit, H., Bhasker, A.A.: Determinants of green initiatives and operational performance for manufacturing SMEs. Mater. Today Proc. 46(20), 10870–10874 (2021). https://doi.org/10.1016/j.matpr.2021.01.889CrossRef

Dadhich, M., Rao, S.S., Sethy, S., Sharma, R.: Determining the factors influencing cloud computing implementation in library management system (LMS): a high order PLS-ANN approach. Libr. Philos. Pract. 6281 (2021). https://digitalcommons.unl.edu/libphilprac/6281

Das, D.: Development and validation of a scale for measuring sustainable supply chain management practices and performance. J. Clean. Prod. 164, 1344–1362 (2017). https://doi.org/10.1016/j.jclepro.2017.07.006CrossRef

Das, D.: The impact of sustainable supply chain management practices on firm performance: lessons from Indian organizations. J. Clean. Prod. 203, 179–196 (2018). https://doi.org/10.1016/j.jclepro.2018.08.250CrossRef

Dubey, R., Gunasekaran, A., Samar Ali, S.: Exploring the relationship between leadership, operational practices, institutional pressures and environmental performance: a framework for green supply chain. Int. J. Prod. Econ. 160, 120–132 (2015). https://doi.org/10.1016/j.ijpe.2014.10.001CrossRef

Dutta, P., Choi, T.M., Somani, S., Butala, R.: Blockchain technology in supply chain operations: applications, challenges and research opportunities. Transp. Res. Part E Logistics Transp. Rev. 142, 102607 (2020)CrossRef

Garay-Rondero, C.L., Martinez-Flores, J.L., Smith, N.R., Caballero Morales, S.O., Aldrette-Malacara, A.: Digital supply chain model in Industry 4.0. J. Manuf. Technol. Manag. 31(5), 887–933 (2020). https://doi.org/10.1108/JMTM-08-2018-0280

Gaurav Kumar Singh, M.D.: Assessment of multidimensional drivers of blockchain technology (BoT) in sustainable supply chain management (SSCM) of Indian cement industry: a novel PLS-SEM approach. Int. J. Logistics Syst. Manag. (2022). https://doi.org/10.1504/IJLSM.2022.10045308CrossRef

Hair, J., Ringle, F., C.M., Sarstedt, M., Ringle, C.M.: Advanced issues in partial least square structural equation modeling (PLS-SEM). SAGE Publications Ltd. (2018)

Hair, J.F., Hult, G.T.M., Ringle, C.M., Sarstedt, M.: A primer on partial least squares structural equation modeling (PLS-SEM) (2016)

Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E.: Multivariate Data Analysis. 7th edn. (2010)

Hietschold, N., Reinhardt, R., Gurtner, S.: Measuring critical success factors of TQM implementation successfully-a systematic literature review. Int. J. Prod. Res. 52(21), 6254–6272 (2014). https://doi.org/10.1080/00207543.2014.918288CrossRef

Jun, M., Cai, S., Peterson, R.T.: Obstacles to TQM implementation in Mexico’s maquiladora industry. Total Qual. Manag. Bus. Excell. 15(1), 59–72 (2004). https://doi.org/10.1080/1478336032000149108CrossRef

Jyoti, J., Kour, S., Sharma, J.: Impact of total quality services on financial performance: role of service profit chain. Total Qual. Manag. Bus. Excell. 28(7–8), 897–929 (2017). https://doi.org/10.1080/14783363.2016.1274649CrossRef

Mathiyazhagan, K., Ahuja, S.: Modelling the sustainable supply chain management practices in Indian industries: a business model using the fuzzy TOPSIS approach. Int. J. Oper. Res. 41(3), 324–351 (2021)CrossRef

Kenny, D.A., Baron, R.M.: The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J. Pers. Soc. Psychol. 51(6), 1173 (1986)CrossRef

Kumar, N., Dadhich, M.: Risk management for investors in stock market. EXCEL Int. J. Multidisc. Manag. Stud. 4(3), 103–108 (2014)

Kumar, S., Singh, M.: Environmental dynamism, industry 4.0 and performance: mediating role of organizational and technological factors. Ind. Mark. Manage. 95, 54–64 (2021). https://doi.org/10.1016/j.indmarman.2021.03.010CrossRef

Dadhich, M., Pahwa, M.S., Goswami, S., Rao, S.S.: Analytical study of financial wellbeing of selected public and private sector banks: a CAMEL approach. In: IEEE Explore Emerging Trends Industry 4.0 (ETI 4.0), pp. 1–6 (2021). https://doi.org/10.1109/ETI4.051663.2021.9619424

Kouhizadeh, M., Sara Saberi, J.S.: Blockchain technology and the sustainable supply chain: theoretically exploring adoption barriers. Int. J. Prod. Econ. 231, 107831 (2021). https://doi.org/10.1016/j.ijpe.2020.107831CrossRef

Kshetri, N.: 1 Blockchain’s roles in meeting key supply chain management objectives. Int. J. Inf. Manag. 39, 80–89 (2018)

Luke, R.: The impact of COVID-2019 on transport in South Africa. J. Transp. Supply Chain Management 14(1), 1–5 (2020)

Remondino, M.: Augmented reality in logistics: qualitative analysis for a managerial perspective. Int. J. Logistics Syst. Manag. 36(1), 1–15 (2020). https://doi.org/10.1504/IJLSM.2020.107218CrossRef

Rathore, H., Sahay, S.K., Thukral, S., Sewak, M.: Detection of malicious android applications: classical machine learning vs. deep neural network integrated with clustering. In: InInternational Conference on Broadband Communications, Networks and Systems, pp. 109–128, 11 December 2020

Mendoza-Fong, J.R., García-Alcaraz, J.L., Díaz-Reza, J.R., Jiménez-Macías, E., Blanco-Fernández, J.: The role of green attributes in production processes as well as their impact on operational, commercial, and economic benefits. Sustainability 11, 1–23 (2019). https://doi.org/10.3390/su11051294CrossRef

Mueller, F., Carter, C.: The scripting of total quality management within its organizational biography. Organ. Stud. 26(2), 221–247 (2005). https://doi.org/10.1177/0170840605049466CrossRef

Mukri, B.: Blockchain technology in supply chain management: a review. Int. Res. J. Eng. Technol. 5(6), 2497–2500 (2008)

Öztas, A., Özbay, E., Yeǧinobali, A.: Current status of total quality management implementation in the Turkish cement industry. Total Qual. Manag. Bus. Excell. 15(7), 985–999 (2004). https://doi.org/10.1080/14783360410001681881CrossRef

Paliwal, V., Chandra, S., Sharma, S.: Blockchain technology for sustainable supply chain management: a systematic literature review and a classification framework. Sustainability (Switzerland) 12(18), 1–39 (2020). https://doi.org/10.3390/su12187638CrossRef

Pambreni, Y., Khatibi, A., Ferdous Azam, S.M., Tham, J.: The influence of total quality management toward organization performance. Manag. Sci. Lett. 9(9), 1397–1406 (2019). https://doi.org/10.5267/j.msl.2019.5.011CrossRef

Purohit, H., Dadhich, M., Ajmera, P.K.: Analytical study on users’ awareness and acceptability towards adoption of multimodal biometrics (MMB) mechanism in online transactions: a two-stage SEM-ANN approach. Multimedia Tools Appl. 1, 1–25 (2022). https://doi.org/10.1007/s11042-022-13786-zCrossRef

Feng, Q., He, D., Zeadally, S., Khan, M.K., Kumar, N.: A survey on privacy protection in blockchain system. J. Netw. Comput. Appl. 126, 45–58 (2019)

Qu, Q., Nurgaliev, I., Muzammal, M., Jensen, C.S., Fan, J.: On spatio-temporal blockchain query processing. Future Gen. Comput. Syst. 98, 208–218 (2019)

Sabella, A., Kashou, R., Omran, O.: Quality management practices and their relationship to organizational performance. Int. J. Oper. Prod. Manag. 34(12), 1487–1505 (2014). https://doi.org/10.1108/IJOPM-04-2013-0210CrossRef

Saxena, S., Bhushan, B., Abdul, M.: Blockchain based solutions to secure IoT: background, integration trends and a way forward. J. Netw. Comput. Appl. 181, 103050 (2021). https://doi.org/10.1016/j.jnca.2021.103050CrossRef

Sharma, N., Dadhich, M.: Predictive business analytics: the way ahead. J. Commerce Manag. Thought 5(4), 652 (2014). https://doi.org/10.5958/0976-478x.2014.00012.3CrossRef

Shokouhyar, S., Seddigh, M.R., Panahifar, F.: Impact of big data analytics capabilities on supply chain sustainability. World J. Sci. Technol. Sustain. Dev. 17(1), 33–57 (2020). https://doi.org/10.1108/WJSTSD-06-2019-0031CrossRef

Shrimali, B., Patel, H.B.: Blockchain state-of-the-art: architecture, use cases, consensus, challenges and opportunities. J. King Saud University – Comput. Inf. Sci. (2021). https://doi.org/10.1016/j.jksuci.2021.08.005CrossRef

Singh, G.K.: Impact execution of total quality management (TQM) on operational performance of Indian cement manufacturing industry: a comprehensive SEM approach. Des. Eng. 8, 13538–13562 (2021). http://thedesignengineering.com/index.php/DE/article/view/6476

Sinha, N., Dhall, N.: Mediating effect of TQM on relationship between organisational culture and performance: evidence from Indian SMEs. Total Qual. Manag. Bus. Excell. 31(15–16), 1841–1865 (2020). https://doi.org/10.1080/14783363.2018.1511372CrossRef

Srivastava, S., Bhadauria, A., Dhaneshwar, S., Gupta, S.: Supply chain management system in Indian pharmaceutical industries: strategies and best practices. J. Stat. Appl. Probab. 12(3) (2023). Article 30. https://doi.org/10.18576/jsap/120330

Tortorella, G., Giglio, R., Fogliatto, F.S., Sawhney, R.: Mediating role of learning organization on the relationship between total quality management and operational performance in Brazilian manufacturers. J. Manuf. Technol. Manag. 31(3), 524–541 (2019). https://doi.org/10.1108/JMTM-05-2019-0200CrossRef

Treiblmaier, H.: The impact of the blockchain on the supply chain: a theory-based research framework and a call for action. Supply Chain Manag. 23(6), 545–559 (2018). https://doi.org/10.1108/SCM-01-2018-0029CrossRef

Tribis, Y., El Bouchti, A., Bouayad, H.: Supply chain management based on blockchain: a systematic mapping study. MATEC Web Conf. 200. https://doi.org/10.1051/matecconf/201820000020

Wali, A.A., Deshmukh, S.G., Gupta, A.D.: Critical success factors of TQM: a select study of Indian organizations. Prod. Plann. Control 14(1), 3–14 (2003). https://doi.org/10.1080/0953728021000034781CrossRef

Wang, R., Wu, Y.: Application of blockchain technology in supply chain finance of Beibu gulf region. Math. Problems Eng. 1, 1–10 (2021). https://doi.org/10.1155/2021/5556424

Titel: Quantifying the Dynamic Enablers of Blockchain Technology to Achieve Operating Performance: A Conceptual Framework
verfasst von: Gaurav Kumar Singh
Manish Dadhich
Kamal Kant Hiran
Verlag: Springer Nature Switzerland
Buch: Global Economic Revolutions: Big Data Governance and Business Analytics for Sustainability
Print ISBN: 978-3-031-50517-1

Electronic ISBN: 978-3-031-50518-8

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-50518-8_9

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner