Towards the Achievement of Frugal Innovation: Exploring Major Antecedents among SMEs
Abstract
:1. Introduction
2. Materials and Methods
2.1. The IoT and Frugal Innovation
2.2. The Internet of Thingsand Digital Platforms
2.3. Digital Platformsand Frugal Innovation
2.4. Digital Platforms Mediate between the IoT and Frugal Innovation
2.5. Moderating Role of Organizational Readiness
2.6. Theoretical Framework
2.7. Data Collection
2.8. Measurement
2.8.1. Internet of Things
2.8.2. Digital Platforms
2.8.3. Frugal Innovation
2.8.4. Organizational Readiness
3. Results
3.1. Correlation Results
3.2. Hypothesis Testing
3.3. Mediating Role of Digital Platforms
3.4. Moderating Role of Organizational Readiness
4. Discussion
4.1. Theoretical Implications
4.2. Practical Implications
5. Conclusions and Recommendation
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Yousaf, Z.; Radulescu, M.; Sinisi, C.I.; Serbanescu, L.; Păunescu, L.M. Towards sustainable digital innovation of SMEs from the developing countries in the context of the digital economy and frugal environment. Sustainability 2013, 13, 5715. [Google Scholar] [CrossRef]
- Borowski, P.F. Digitization, digital twins, blockchain, and industry 4.0 as elements of management process in enterprises in the energy sector. Energies 2021, 14, 1885. [Google Scholar] [CrossRef]
- Thoben, K.D.; Wiesner, S.; Wuest, T. “Industrie 4.0” and smart manufacturing-a review of research issues and application examples. Int. J. Autom. Technol. 2017, 11, 4–16. [Google Scholar] [CrossRef] [Green Version]
- Hossain, M.; Levänen, J.; Wierenga, M. Pursuing frugal innovation for sustainability at the grassroots level. Manag. Organ. Rev. 2021, 17, 374–381. [Google Scholar] [CrossRef]
- Roy, M.; Roy, A. Nexus of Internet of Things IoT and big data: Roadmap for smart management systems SMgS. IEEE Eng. Manag. Rev. 2019, 47, 53–65. [Google Scholar] [CrossRef]
- Pflaum, A.A.; Gölzer, P. The IoT and digital transformation: Toward the data-driven enterprise. IEEE Pervasive Comput. 2018, 17, 87–91. [Google Scholar] [CrossRef]
- Ranta, V.; Aarikka-Stenroos, L.; Väisänen, J.M. Digital technologies catalyzing business model innovation for circular economy—Multiple case study. Resour. Conserv. Recycl. 2021, 164, 105155. [Google Scholar] [CrossRef]
- Taghizadeh, S.K.; Jayaraman, K.; Ismail, I.; Rahman, S.A. Scale development and validation for DART model of value co-creation process on innovation strategy. J. Bus. Ind. Mark. 2016, 31, 24–35. [Google Scholar] [CrossRef]
- Igwe, P.A.; Odunukan, K.; Rahman, M.; Rugara, D.G.; Ochinanwata, C. How entrepreneurship ecosystem influences the development of frugal innovation and informal entrepreneurship. Thunderbird Int. Bus. Rev. 2020, 62, 475–488. [Google Scholar] [CrossRef]
- Khanal, P.B. IT Enabled Frugal Innovation. In Proceedings of the 2018 ACM SIGMIS Conference on Computers and People Research, Buffalo, NY, USA, 18–20 June 2018; pp. 166–167. [Google Scholar]
- Niroumand, M.; Shahin, A.; Naghsh, A.; Peikari, H.R. Frugal innovation enablers, critical success factors and barriers: A systematic review. Creat. Innov. Manag. 2021, 30, 348–367. [Google Scholar] [CrossRef]
- De Vass, T.; Shee, H.; Miah, S.J. The effect of “Internet of Things” on supply chain integration and performance: An organisational capability perspective. Australas. J. Inf. Syst. 2018, 22. [Google Scholar] [CrossRef] [Green Version]
- De Reuver, M.; Sørensen, C.; Basole, R.C. The digital platform: A research agenda. J. Inf. Technol. 2018, 33, 124–135. [Google Scholar] [CrossRef] [Green Version]
- Howell, R.; van Beers, C.; Doorn, N. Value capture and value creation: The role of information technology in business models for frugal innovations in Africa. Technol. Forecast. Soc. Chang. 2018, 131, 227–239. [Google Scholar] [CrossRef]
- Weiner, B.J.; Amick, H.; Lee, S.Y.D. Conceptualization and measurement of organizational readiness for change: A review of the literature in health services research and other fields. Med. Care Res. Rev. 2008, 65, 379–436. [Google Scholar] [CrossRef]
- Weiner, B.J. A theory of organizational readiness for change. In Handbook on Implementation Science; Edward Elgar Publishing: Cheltenham, UK, 2020. [Google Scholar]
- Iorfino, F.; Cross, S.P.; Davenport, T.; Carpenter, J.S.; Scott, E.; Shiran, S.; Hickie, I.B. A digital platform designed for youth mental health services to deliver personalized and measurement-based care. Front. Psychiatry 2019, 595. [Google Scholar] [CrossRef]
- Miake-Lye, I.M.; Delevan, D.M.; Ganz, D.A.; Mittman, B.S.; Finley, E.P. Unpacking organizational readiness for change: An updated systematic review and content analysis of assessments. BMC Health Serv. Res. 2020, 20, 1–13. [Google Scholar] [CrossRef] [Green Version]
- Castañeda, S.F.; Holscher, J.; Mumman, M.K.; Salgado, H.; Keir, K.B.; Foster-Fishman, P.G.; Talavera, G.A. Dimensions of community and organizational readiness for change. Prog. Community Health Partnersh. Res. Educ. Action 2012, 6, 219. [Google Scholar] [CrossRef] [Green Version]
- Colledani, M.; Silipo, L.; Yemane, A.; Lanza, G.; Bürgin, J.; Hochdörffer, J.; Belkadi, F. Technology-based product-services for supporting frugal innovation. Procedia CIRP 2016, 47, 126–131. [Google Scholar] [CrossRef] [Green Version]
- Kankanhalli, A.; Charalabidis, Y.; Mellouli, S. IoT and AI for smart government: A research agenda. Gov. Inf. Q. 2019, 36, 304–309. [Google Scholar] [CrossRef]
- Stergiou, C.; Psannis, K.E.; Plageras, A.P.; Ishibashi, Y.; Kim, B.G. Algorithms for Efficient Digital Media Transmission over IoT and Cloud Networking; University of Macedonia: Thessaloniki, Greece, 2018. [Google Scholar]
- Sánchez, H.; González-Contreras, C.; Agudo, J.E.; Macías, M. IoT and iTV for interconnection, monitoring, and automation of common areas of residents. Appl. Sci. 2017, 7, 696. [Google Scholar] [CrossRef] [Green Version]
- Hofmann, W.; Branding, F. Implementation of an IoT-and cloud-based digital twin for real-time decision support in port operations. IFAC-PapersOnLine 2019, 52, 2104–2109. [Google Scholar] [CrossRef]
- Bi, Z.; Jin, Y.; Maropoulos, P.; Zhang, W.J.; Wang, L. Internet of things IoT and big data analytics BDA for digital manufacturing DM. Int. J. Prod. Res. 2021, 1–18. [Google Scholar] [CrossRef]
- Shi, J.; Jin, L.; Li, J.; Fang, Z. A smart parking system based on NB-IoT and third-party payment platform. In Proceedings of the 2017 17th International Symposium on Communications and Information Technologies ISCIT, Cairns, QLD, Australia, 25–27 September 2017; pp. 1–5. [Google Scholar]
- Sestino, A.; Prete, M.I.; Piper, L.; Guido, G. Internet of Things and Big Data as enablers for business digitalization strategies. Technovation 2020, 98, 102173. [Google Scholar] [CrossRef]
- Nayyar, A.; Rameshwar, R.U.D.R.A.; Solanki, A. Internet of Things IoT and the Digital Business Environment: A Standpoint Inclusive Cyber Space, Cyber Crimes, and Cybersecurity. In The Evolution of Business in the Cyber Age; Apple Academic Press: New York, NY, USA, 2020; Volume 10, ISBN 9780429276484–6. [Google Scholar]
- Sanchez, M.A.; Zuntini, J.I. Organizational readiness for the digital transformation: A case study research. Revisita Gestão Tecnol. 2018, 18, 70–99. [Google Scholar] [CrossRef]
- Ahuja, S.; Chan, Y.E. Frugal innovation and digitalisation: A platform ecosystem perspective. In Frugal Innovation; Routledge: London, UK, 2019; pp. 89–107. [Google Scholar]
- Gupta, S.; Leszkiewicz, A.; Kumar, V.; Bijmolt, T.; Potapov, D. Digital analytics: Modeling for insights and new methods. J. Interact. Mark. 2020, 51, 26–43. [Google Scholar] [CrossRef]
- Miklosik, A.; Kuchta, M.; Evans, N.; Zak, S. Towards the adoption of machine learning-based analytical tools in digital marketing. IEEE Access 2019, 7, 85705–85718. [Google Scholar] [CrossRef]
- Rammal, H.G. Innovation and international entrepreneurship: Will the digital platform serve all. Int. J. Econ. Bus. Entrep. 2019, 2, 97–103. [Google Scholar] [CrossRef]
- Singh, R.P.; Hom, G.L.; Abramoff, M.D.; Campbell, J.P.; Chiang, M.F. Current challenges and barriers to real-world artificial intelligence adoption for the healthcare system, provider, and the patient. Transl. Vis. Sci. Technol. 2020, 9, 45. [Google Scholar] [CrossRef] [PubMed]
- Zhang, X. Frugal innovation and the digital divide: Developing an extended model of the diffusion of innovations. Int. J. Innov. Stud. 2018, 2, 53–64. [Google Scholar] [CrossRef]
- Salimon, M.G.; Yusoff, R.Z.B.; Mokhtar, S.S.M. The mediating role of hedonic motivation on the relationship between adoption of e-banking and its determinants. Int. J. Bank Mark. 2017, 35, 1–25. [Google Scholar] [CrossRef]
- Ullah, F.; Sepasgozar, S.M.; Wang, C. A systematic review of smart real estate technology: Drivers of, and barriers to, the use of digital disruptive technologies and online platforms. Sustainability 2018, 10, 3142. [Google Scholar] [CrossRef] [Green Version]
- Lee, H.C.; Ke, K.H. Monitoring of large-area IoT sensors using a LoRa wireless mesh network system: Design and evaluation. IEEE Trans. Instrum. Meas. 2018, 67, 2177–2187. [Google Scholar] [CrossRef]
- Kessler, S.K.; Martin, M. How Do Potential Users Perceive the Adoption of New Technologies within the Field of Artificial Intelligence and Internet-of-Things? A Revision of the UTAUT 2 Model Using Voice Assistants; Lund University: Lund, Sweden, 2017. [Google Scholar]
- Holmstrom, J. From AI to digital transformation: The AI readiness framework. Bus. Horiz. 2021; in press. [Google Scholar]
- Rai, A.; Tang, X. Leveraging IT capabilities and competitive process capabilities for the management of interorganizational relationship portfolios. Inf. Syst. Res. 2010, 21, 516–542. [Google Scholar] [CrossRef]
- Rossetto, D.E.; Borini, F.M. A proposed instrument for measuring frugal innovation: The first stage of development a new scale. In Academy of Management Proceedings; Academy of Management: Briarcliff Manor, NY, USA, 2017; Volume 2017, p. 16956. [Google Scholar]
- Claiborne, N.; Auerbach, C.; Lawrence, C.; Schudrich, W.Z. Organizational change: The role of climate and job satisfaction in child welfare workers’ perception of readiness for change. Child. Youth Serv. Rev. 2013, 35, 12–23. [Google Scholar] [CrossRef]
- Preacher, K.J.; Hayes, A.F. Asymptotic resampling strategies for assessing comparing indirect effects in multiple mediator models. Behav. Res. Methods 2008, 40, 879–891. [Google Scholar] [CrossRef] [PubMed]
- Fornell, C.; Lacker, D.F. Structural equation models with unobservable variables measurement error: Algebra Statistics. J. Mark. Res. 1981, 18, 382–388. [Google Scholar] [CrossRef]
- Borowski, P.F.; Patuk, I. Environmental, social and economic factors in sustainable development with food, energy and eco-space aspect security. Present Environ. Sustain. Dev. 2021, 15, 153–169. [Google Scholar] [CrossRef]
Work Experience (Years) | Respondents Age (Years) | ||
---|---|---|---|
1 to 5 | 19 (10.32%) | 22–33 | 55(29.80%) |
6 to 10 | 45 (24.45%) | 34–45 | 59 (32.20%) |
11 to 15 | 67 (36.41%) | 46–57 | 45(24.50%) |
16 to 20 | 37(20.10%) | 58–69 | 25(13.50%) |
More than 20 | 16 (08.69%) | ||
Education level | |||
0 High school or less education 16 (8.69%) | |||
1 Intermediate education 18 (9.78%) | |||
2 14 years education 34 (18.47%) | |||
3 16 years education 77 (41.84%) | |||
4 More than 16 years education 39 (21.19%) |
Items | Cronbach’s Alpha | Factor Loading | Composite Reliability CR | AVE | |
---|---|---|---|---|---|
Internet of Things | 08 | 0.80 | 0.70–0.91 | 0.87 | 0.68 |
Digital Platforms | 08 | 0.86 | 0.73–0.89 | 0.92 | 0.71 |
Organizational Readiness | 09 | 0.88 | 0.72–0.90 | 0.94 | 0.73 |
Frugal innovation | 09 | 0.84 | 0.74–0.93 | 0.90 | 0.70 |
χ2 | Df | χ2/df | RMESA | GFI | CFI | |
---|---|---|---|---|---|---|
Hypothesized-model | 844.34 | 389 | 2.164 | 0.06 | 0.92 | 0.94 |
Three-factor-model | 902.65 | 379 | 2.507 | 0.16 | 0.86 | 0.88 |
Two-factor-model | 967.58 | 311 | 3.121 | 0.21 | 0.80 | 0.82 |
Single-factor-model | 989.21 | 291 | 3.411 | 0.27 | 0.64 | 0.66 |
Constructs | Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|---|---|
Gender | 0.9 | 0.81 | 1 | |||||||
Age | 33 | --- | 0.09 | 1 | ||||||
Work experience | 2.9 | 0.84 | 0.08 | 0.03 | 1 | |||||
Education level | 2.4 | 0.91 | 0.06 | 0.05 | 0.04 | 1 | ||||
Internet of Things | 3.8 | 0.93 | 0.09 | 0.09 | 0.08 | 0.07 | 1 | |||
Digital Platforms | 3.5 | 0.91 | 0.05 | 0.07 | 0.04 | 0.05 | 0.39 ** | 1 | ||
Organizational Readiness | 3.9 | 0.95 | 0.03 | 0.07 | 0.06 | 0.09 | 0.26 ** | 0.19 * | 1 | |
Frugal Innovation | 3.6 | 0.90 | 0.08 | 0.03 | 0.04 | 0.09 | 0.22 ** | 0.33 ** | 0.17 * | 1 |
Hypothesis Detail | Effects | Coefficient | Remarks |
---|---|---|---|
(H1) IoT to Frugal Innovation | + | 0.20 ** | Accepted |
(H2) IoT to Digital Platforms | + | 0.37 ** | Accepted |
(H3) Digital Platforms to Frugal Innovation | + | 0.34 ** | Accepted |
Model | Data | Boot | Bias | SE | Lower | Upper |
---|---|---|---|---|---|---|
IoT → digital platforms →frugal innovation | 0.1671 | 0.1663 | −0.0008 | 0.329 | 0.1932 | 0.2319 |
Step 1 | Step 2 | Step 3 | |
---|---|---|---|
Moderation of organizational readiness | |||
Gender | 0.011 | 0.009 | 0.007 |
Respondent Age | 0.019 | 0.016 | 0.013 |
Respondent experience | 0.009 | 0.007 | 0.005 |
Respondent Education | 0.021 | 0.029 | 0.037 |
Digital Platforms | 0.30 ** | 0.33 ** | |
Organizational Readiness | 0.26 ** | 0.28 ** | |
Digital Platforms × Organizational Readiness | 0.24 ** | ||
R2 | 0.009 | 0.191 | 0.198 |
Adjusted R2 | 0.003 | 0.159 | 0.175 |
∆ R2 | 0.007 | 0.163 | 0.028 |
∆ F | 4.172 | 79.63 | 17.13 |
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Nassani, A.A.; Sinisi, C.; Mihai, D.; Paunescu, L.; Yousaf, Z.; Haffar, M. Towards the Achievement of Frugal Innovation: Exploring Major Antecedents among SMEs. Sustainability 2022, 14, 4120. https://doi.org/10.3390/su14074120
Nassani AA, Sinisi C, Mihai D, Paunescu L, Yousaf Z, Haffar M. Towards the Achievement of Frugal Innovation: Exploring Major Antecedents among SMEs. Sustainability. 2022; 14(7):4120. https://doi.org/10.3390/su14074120
Chicago/Turabian StyleNassani, Abdelmohsen A., Crenguta Sinisi, Daniela Mihai, Loredana Paunescu, Zahid Yousaf, and Mohamed Haffar. 2022. "Towards the Achievement of Frugal Innovation: Exploring Major Antecedents among SMEs" Sustainability 14, no. 7: 4120. https://doi.org/10.3390/su14074120
APA StyleNassani, A. A., Sinisi, C., Mihai, D., Paunescu, L., Yousaf, Z., & Haffar, M. (2022). Towards the Achievement of Frugal Innovation: Exploring Major Antecedents among SMEs. Sustainability, 14(7), 4120. https://doi.org/10.3390/su14074120