Aiken, L. S., West, S. G., & Reno, R. R. (1991).
Multiple regression: Testing and interpreting interactions. Sage publications.
Agarwal, N., & Brem, A. (2012). Frugal and reverse innovation: Literature overview and case study insights from a German MNC in India and China. In
2012 18th International ICE Conference on Engineering, Technology and Innovation (pp. 1–11). IEEE.
https://doi.org/10.1109/ICE.2012.6297683.
Aqmala, D., Panjaitan, R., Ardyan, E., & Putra, F. I. F. S. (2025). The role of green blue ocean strategy in enhancing frugal innovation through IoT and AI: A resource-based view perspective.
Journal of Entrepreneurship, Management & Innovation,
21(2), 56–81.
Ardito, L., Petruzzelli, A. M., Panniello, U., & Garavelli, A. C. (2019). Towards industry 4.0: Mapping digital technologies for supply chain management-marketing integration.
Business Process Management Journal,
25(2), 323-346.
Awwad, A., & Akroush, D. M. N. (2016). New product development performance success measures: exploratory research.
EuroMed Journal of Business,
11(1), 2-29.
Barney, J. (1991). Firm resources and sustained competitive advantage.
Journal of Management,
17(1), 99-120.
Bas, C. L. (2020). Frugal innovation as environmental innovation.
International Journal of Technology Management,
83(1-3), 78-96.
Burns, T., & Stalker, G. M. (1961).
The management of innovation. Tavistock Publications.
Chen, J., Neubaum, D. O., Reilly, R. R., & Lynn, G. S. (2015). The relationship between team autonomy and new product development performance under different levels of technological turbulence.
Journal of Operations Management,
33, 83-96.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.),
Modern methods for business research (pp. 295-336). Psychology Press.
Cohen, J. (1988).
Statistical power analysis for the behavioral sciences (2
nd Ed.). Hillsdale:
Erlbaum Associates.
Cooper, S. (2017).
Rethink manufacturing, KPMG. Designing a UK industrial strategy for the age of industry 4.0. KPMG.
Davari, A., & Rezazadeh, A. (2013). Structural equation modeling with PLS.
Jahad University,
215(2), 224.
Danks, N. P., & Ray, S. (2018). Predictions from partial least squares models. In F. Ali, S. M. Rasoolimanesh, & C. Cobanoglu (Eds.),
Applying partial least squares in tourism and hospitality research (pp. 35–52). Emerald Publishing Limited.
De Silva, R. J., Rupasinghe, T. D., & Apeagyei, P. (2019). A collaborative apparel new product development process model using virtual reality and augmented reality technologies as enablers.
International Journal of Fashion Design, Technology & Education,
12(1), 1-11.
Diamantopoulos, A., Sarstedt, M., Fuchs, C., Wilczynski, P., & Kaiser, S. (2012). Guidelines for choosing between multi-item and single-item scales for construct measurement: A predictive validity perspective.
Journal of the Academy of Marketing Science,
40, 434–449.
Dijkstra, T. K. (2010). Latent variables and indices: Herman Wold’s basic design and partial least squares. In V. Esposito Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.),
Handbook of partial least squares: Concepts, methods and applications (Vol. II, pp. 23–46). Springer.
Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling.
MIS Quarterly,
39(2), 297–316.
Dosi, G., Nelson, R. R., & Winter, S. G. (Eds.). (2000).
The nature and dynamics of organizational capabilities. Oxford university press.
Dost, M., Pahi, M. H., Magsi, H. B., & Umrani, W. A. (2019). Effects of sources of knowledge on frugal innovation: Moderating role of environmental turbulence.
Journal of Knowledge Management,
23(7), 1245-1259.
Duncan, R. B. (1972). Characteristics of organizational environments and perceived environmental uncertainty.
Administrative Science Quarterly, 313-327.
Fiorini, P. D. C., Jugend, D., Scaliza, J. A. A., Chiappetta Jabbour, C. J., & Latan, H. (2025). Digitalisation of manufacturing and innovation: The role of inbound open innovation and environmental turbulence in enabling Industry 4.0-based innovation.
Production Planning & Control,
36(13), 1713-1732.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error.
Journal of Marketing Research,
18(1), 39–50.
Fransisca, L., Renaldo, N., Chandra, T., Augustine, Y., & Musa, S. (2025). Digital innovation capability and customer value co-creation on new product performance with digital transformation maturity as a moderating variable in trading companies in Indonesia.
Luxury: Landscape of Business Administration,
3(1), 1-15.
Iqbal, Q., & Piwowar-Sulej, K. (2023). Frugal innovation embedded in business and political ties: transformational versus sustainable leadership.
Asian Business & Management,
22(5), 2225-2248.
Iqbal, Q., Piwowar-Sulej, K., & Kallmuenzer, A. (2025). Sustainable development through frugal innovation: the role of leadership, entrepreneurial bricolage and knowledge diversity.
Review of Managerial Science,
19(2), 573-594.
Hair Jr., J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021).
Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer Nature.
He, X., & Wu, X. (2024). Social networks and ambidextrous innovation in SMEs: The mediating role of dynamic capabilities and the moderating role of technological turbulence.
Technology Analysis & Strategic Management,
36(10), 2662-2675.
Henseler, J., & Chin, W. W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling.
Structural Equation Modeling,
17(1), 82-109.
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, 115–135.
Jaworski, B. J., & Kohli, A. K. (1993). Market orientation: antecedents and consequences.
Journal of Marketing,
57(3), 53-70.
Jöreskog, K. G. (1971). Simultaneous factor analysis in several populations.
Psychometrika,
36(4), 409–426.
Knorringa, P., Peša, I., Leliveld, A., & Van Beers, C. (2016). Frugal innovation and development: aides or adversaries?.
The European Journal of Development Research,
28(2), 143-153.
Kumar, S., & Bhatia, M. S. (2021). Environmental dynamism, industry 4.0 and performance: Mediating role of organizational and technological factors.
Industrial Marketing Management,
95, 54-64.
Knudsen, M. P., Von Zedtwitz, M., Griffin, A., & Barczak, G. (2023). Best practices in new product development and innovation: Results from PDMA's 2021 global survey.
Journal of Product Innovation Management,
40(3), 257-275.
Li, C., Murad, M., Ashraf, S. F., & Jiatong, W. (2024). Leadership styles, team innovative behavior, and new green product development performance.
Management Decision,
62(10), 3208-3234.
Lim, C., & Fujimoto, T. (2019). Frugal innovation and design changes expanding the cost-performance frontier: A Schumpeterian approach.
Research Policy,
48(4), 1016-1029.
Lim, C., Lee, J. H., Sonthikorn, P., & Vongbunyong, S. (2020). Frugal innovation and leapfrogging innovation approach to the industry 4.0 challenge for a developing country.
Asian Journal of Technology Innovation,
29(1), 87-108.
Lawrence, P. R., & Lorsch, J. W. (1967). Differentiation and integration in complex organizations.
Administrative Science Quarterly, 1-47.
Obradović, T., Vlačić, B., & Dabić, M. (2021). Open innovation in the manufacturing industry: A review and research agenda.
Technovation,
102, 102221.
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.
Journal of Applied Psychology,
88(5), 879.
Qin, W. (2024). How to unleash frugal innovation through internet of things and artificial intelligence: Moderating role of entrepreneurial knowledge and future challenges.
Technological Forecasting & Social Change,
202, 123286.
Radomir, L., & Moisescu, O. I. (2020). Discriminant validity of the customer-based corporate reputation scale: Some causes for concern.
Journal of Product & Brand Management,
29(4), 457–469.
Ringle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis.
Industrial Management & Data Systems,
116(9), 1865-1886.
Rosca, E., Reedy, J., & Bendul, J. C. (2018). Does frugal innovation enable sustainable development? A systematic literature review.
The European Journal of Development Research,
30(1), 136-157.
Safardoust, A., Pourqasem Sostani, M., & Salami, R. (2023). Identifying strategic components affecting the position of small home appliance industry.
Journal of Strategic Management Studies,
14(53), 1-24.
Sarstedt, M., Bengart, P., Shaltoni, A. M., & Lehmann, S. (2018). The use of sampling methods in advertising research: A gap between theory and practice.
International Journal of Advertising,
37(4), 650-663.
Sarstedt, M., & Mooi, E. (2014).
A concise guide to market research: The process, data, and methods using IBM SPSS Statistics (2nd ed.). Springer.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. E. Vomberg (Eds.),
Handbook of market research (pp. 587–632). Springer.
Sekaran, U., & Bougie, R. (2016).
Research methods for business: A skill building approach. John Wiley & Sons.
Sinaga, O., Saudi, M. H. M., & Roespinoedji, D. (2019). The dynamic nexus of digital evolution, environmental turbulence and environmental performance: A case of high-tech industries in the emerging 4th industrial revolution.
International Journal of Energy Economics and Policy,
9(6), 386-393.
Singh, P., & Anthonysamy, L. (2025). Development and validation of an instrument to assess instructors’ usage, acceptance, and confidence towards ChatGPT: a reliability and discriminant validity analysis.
Education and Information Technologies,
30(17), 25251-25271.
Schumacher, E. F. (1973).
Small is beautiful: Economics as if people mattered. Blond & Briggs.
Schumpeter, J. A. (1912/2002). The economy as a whole: Schumpeter’s lost seventh chapter to “The Theory of Economic Development.”
Industry and Innovation,
9(1/2), 91–145.
Shmueli, G., Ray, S., Estrada, J. M. V., & Chatla, S. B. (2016). The elephant in the room: Predictive performance of PLS models.
Journal of business Research,
69(10), 4552-4564.
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict.
European Journal of Marketing,
53(11), 2322-2347.
Song, M., & Montoya-Weiss, M. M. (2001). The effect of perceived technological uncertainty on Japanese new product development.
Academy of Management Journal,
44(1), 61-80.
Stentoft, J., & Rajkumar, C. (2020). The relevance of Industry 4.0 and its relationship with moving manufacturing out, back and staying at home.
International Journal of Production Research,
58(10), 2953-2973.
Stentoft, J., Adsbøll Wickstrøm, K., Philipsen, K., & Haug, A. (2021). Drivers and barriers for Industry 4.0 readiness and practice: empirical evidence from small and medium-sized manufacturers.
Production Planning & Control,
32(10), 811-828.
Stone, M. (1974). Cross-validation and multinomial prediction.
Biometrika, 509-515.
Teeluckdharry, N. B., Teeroovengadum, V., & Seebaluck, A. K. (2024). A roadmap for the application of PLS-SEM and IPMA for effective service quality improvements.
The TQM Journal,
36(5), 1300-1345.
Tiedemann, F., Johansson, E., & Gosling, J. (2020). Structuring a new product development process portfolio using decoupling thinking.
Production Planning & Control,
31(1), 38-59.
Trizano-Hermosilla, I., & Alvarado, J. M. (2016). Best alternatives to Cronbach's alpha reliability in realistic conditions: congeneric and asymmetrical measurements.
Frontiers in Psychology,
7, 769.
Tsai, K. H., & Yang, S. Y. (2013). Firm innovativeness and business performance: The joint moderating effects of market turbulence and competition.
Industrial Marketing Management,
42(8), 1279-1294.
Vesci, M., Feola, R., Parente, R., & Radjou, N. (2021). How to save the world during a pandemic event. A case study of frugal innovation.
R&D Management,
51(4), 352-363.
Weyrauch, T., & Herstatt, C. (2017). What is frugal innovation? Three defining criteria.
Journal of Frugal Innovation,
2(1), 1–17.
Wijewardhana, G. E. H., Weerabahu, S. K., Nanayakkara, J. L. D., & Samaranayake, P. (2021). New product development process in apparel industry using Industry 4.0 technologies.
International Journal of Productivity and Performance Management,
70(8), 2352-2373.
Wu, S., Levitas, E., & Priem, R. L. (2005). CEO tenure and company invention under differing levels of technological dynamism.
Academy of management Journal,
48(5), 859-873.
Ukbaeva, Z., Wöllner, T., & Bican, P. M. (2026). Constraints and frugal innovation: Enabling sustainable production through the new product development process.
Sustainable Development,
34, 1392-1413.
United Nations. (2015). Transforming Our World: the 2030 agenda for sustainable development. (A/RES/70/1). United Nations: Retrieved from:
https://sustainabledevelopment.un.org/content/documents/21252030%20Agenda%20for%20Sustainable%20Development%20web.pdf.
Yadlapalli, A., Rahman, S., & Gunasekaran, A. (2018). Socially responsible governance mechanisms for manufacturing firms in apparel supply chains.
International Journal of Production Economics,
196, 135-149.
Yusof, M. M., Papazafeiropoulou, A., Paul, R. J., & Stergioulas, L. K. (2008). Investigating evaluation frameworks for health information systems. International Journal of Medical Informatics, 77(6), 377-385.
