How digital transformation impact firm performance? The unmet needs of Indian exporting firms

References

• Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411. https://doi.org/10.1037/0033-2909.103.3.411
   Web of Science ®Google Scholar
• Bajgar, M., Calligaris, S., Calvino, F., Criscuolo, C., & Timmis, J. (2019). Bits and bolts: The digital transformation and manufacturing. OECD Science, Technology and Industry Working Papers, 01, 1–43.
   Google Scholar
• Barkema, H. G., & Drogendijk, R. (2007). Internationalising in small, incremental or large steps? Journal of International Business Studies, 38(7), 1132–1148. https://doi.org/10.1057/palgrave.jibs.8400315
   Web of Science ®Google Scholar
• Brouthers, K. D., Geisser, K. D., & Rothlauf, F. (2016). Explaining the internationalization of iBusiness firms. Journal of International Business Studies, 47(5), 513–534. https://doi.org/10.1057/jibs.2015.20
   Web of Science ®Google Scholar
• Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). Routledge.
   Google Scholar
• Churchill, G. A., & Iacobucci, D. (2006). Marketing research: Methodological foundations. Dryden Press.
   Google Scholar
• Collier, J. E. (2020). Applied structural equation modeling using AMOS: Basic to advanced techniques. Routledge.
   Google Scholar
• Crewe, L. (2017). The geographies of fashion: Consumption, space, and value. Bloomsbury Publishing.
   Google Scholar
• Dastane, O., & Haba, H. F. (2023). The landscape of digital natives research: A bibliometric and science mapping analysis. FIIB Business Review. https://doi.org/10.1177/23197145221137960
   Google Scholar
• de la Torre, J., & Moxon, R. W. (2001). E-commerce and global business: The impact of the information and communication technology revolution on the conduct of international business. Journal of International Business Studies, 32(4), 617–640. https://doi.org/10.1057/palgrave.jibs.8490988
   Web of Science ®Google Scholar
• Dey, B. L., Yen, D., & Samuel, L. (2020). Digital consumer culture and digital acculturation. International Journal of Information Management, 51, 102057.
   Web of Science ®Google Scholar
• Fichman, R. G., Dos Santos, B. L., & Zheng, Z. (2014). Digital innovation as a fundamental and powerful concept in the information systems curriculum. MIS Quarterly, 38(2), 329–353. https://doi.org/10.25300/MISQ/2014/38.2.01
   Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. JMR, Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Foss, N. J., & Saebi, T. (2017). Fifteen years of research on business model innovation: How far have we come, and where should we go? Journal of Management, 43(1), 200–227. https://doi.org/10.1177/0149206316675927
   Web of Science ®Google Scholar
• Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. JMR, Journal of Marketing Research, 25(2), 186–192. https://doi.org/10.1177/002224378802500207
   Web of Science ®Google Scholar
• Gölzer, P., & Fritzsche, A. (2017). Data-driven operations management: Organisational implications of the digital transformation in industrial practice. Production Planning & Control, 28(16), 1332–1343.
   Web of Science ®Google Scholar
• Guimarães, J. D. S., Fernandes, C., Veiga, P. M., & Ramadani, V. (2023). The relationship between entrepreneurial ecosystems and digital transformation. FIIB Business Review. https://doi.org/10.1177/23197145231173850
   Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Cluster analysis. In J. F. Hair (Ed.), Multivariate data analysis (7th ed.). Prentice Hall.
   Google Scholar
• Jenatabadi, H. S., & Ismail, N. A. (2014). Application of structural equation modelling for estimating airline performance. Journal of Air Transport Management, 40, 25–33. https://doi.org/10.1016/j.jairtraman.2014.05.005
   Web of Science ®Google Scholar
• Kane, G. C., Palmer, D., Nguyen-Phillips, A., Kiron, D., & Buckley, N. (2015). Strategy, not technology, drives digital transformation. MIT Sloan Management Review. https://sloanreview.mit.edu/projects/strategy-drives-digital-transformation/
   Google Scholar
• Katsikeas, C., Leonidou, L., & Zeriti, A. (2019). Revisiting international marketing strategy in a digital era: Opportunities, challenges, and research directions. International Marketing Review, 37(3), 405–424. https://doi.org/10.1108/IMR-02-2019-0080
   Web of Science ®Google Scholar
• Khan, S., & Goel, A. (2022). A perspective on digital transformation among Indian exporting firms. FIIB Business Review, 13(1), 7–17. https://doi.org/10.1177/23197145221093499
   Google Scholar
• Kiang, M. Y., Raghu, T. S., & Shang, K. H. M. (2000). Marketing on the internet—who can benefit from an online marketing approach? Decision Support Systems, 27(4), 383–393. https://doi.org/10.1016/S0167-9236(99)00062-7
   Web of Science ®Google Scholar
• Ko, A., Fehér, P., Kovacs, T., Mitev, A., & Szabó, Z. (2022). Influencing factors of digital transformation: Management or IT is the driving force? International Journal of Innovation Science, 14(1), 1–20. https://doi.org/10.1108/IJIS-01-2021-0007
   Web of Science ®Google Scholar
• Kumar, J., Rana, S., Rani, G., & Rani, V. (2024). How phygital customers’ experience transforms the retail banking sector? Examining customer engagement and patronage intentions. Competitiveness Review: An International Business Journal, 34(1), 92–106.
   Web of Science ®Google Scholar
• Kumar, J., & Rani, V. (2022). Journey of Financial Technology (FinTech): A Systematic Literature Review and Future Research Agenda. In S. Rana, S. & J. Singh(Eds.), Exploring the Latest Trends in Management Literature (Review of Management Literature (Vol. 1, pp. 89–108). Leeds: Emerald Publishing Limited. https://doi.org/10.1108/S2754-586520220000001005
   Google Scholar
• Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/jm.15.0420
   Web of Science ®Google Scholar
• Leonidou, L. C. (2004). An analysis of the barriers hindering small business exportdevelopment. Journal of Small Business Management, 42(3), 279–302. https://doi.org/10.1111/j.1540-627X.2004.00112.x
   Web of Science ®Google Scholar
• Linz, M. (2012). Scenarios for the aviation industry: A delphi-based analysis for 2025. Journal of Air Transport Management, 22, 28–35. https://doi.org/10.1016/j.jairtraman.2012.01.006
   Web of Science ®Google Scholar
• Li, L., Su, F., Zhang, W., & Mao, J. Y. (2018). Digital transformation by SME entrepreneurs: A capability perspective. Information Systems Journal, 28(6), 1129–1157. https://doi.org/10.1111/isj.12153
   Web of Science ®Google Scholar
• Liu, D. Y., Chen, S. W., & Chou, T. C. (2011). Resource fit in digital transformation—lessons learned from the CBC bank global e-banking project. Management Decision, 49(10), 1728–1742. https://doi.org/10.1108/00251741111183852
   Web of Science ®Google Scholar
• Marsh, H. W., & Hocevar, D. (1985). Application of confirmatory factor analysis to the study of self-concept: First-and higher order factor models and their invariance across groups. Psychological Bulletin, 97(3), 562.
   Web of Science ®Google Scholar
• Maskey, R., Fei, J., & Nguyen, H. O. (2018). Use of exploratory factor analysis in maritime research. The Asian Journal of Shipping and Logistics, 34(2), 91–111. https://doi.org/10.1016/j.ajsl.2018.06.006
   Web of Science ®Google Scholar
• Matt, C., Hess, T., & Benlian, A. (2015). Digital transformation strategies. Business & Information Systems Engineering, 57, 339–343.
   Web of Science ®Google Scholar
• Mehra, A., Paul, J., & Kaurav, R. P. S. (2021). Determinants of mobile apps adoption among young adults: Theoretical extension and analysis. Journal of Marketing Communications, 27(5), 481–509. https://doi.org/10.1080/13527266.2020.1725780
   Google Scholar
• Mergel, I.(2019). Digital service teams in government. Government Information Quarterly, 36(4), 101389.
   Web of Science ®Google Scholar
• Meyers, L. S., Gamst, G., & Guarino, A. J. (2016). Applied multivariate research: Design and interpretation. Sage publications.
   Google Scholar
• Moriset, B. (2018). Traditional industries. In J. Ash, R. Kitchin, & A. Leszczynski (Eds.), Digital geographies (pp. 210–222). Sage.
   Google Scholar
• Mueller, R. O., & Hancock, G. R. (2008). “Best practices in structural equation modeling,” In Best practices in quantitative methods. SAGE Publications, Inc.
   Google Scholar
• Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2017). Digital innovation management: Reinventing innovation management research in a digital world. MIS Quarterly, 41(1), 223–238. https://doi.org/10.25300/MISQ/2017/41:1.03
   Web of Science ®Google Scholar
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
   Google Scholar
• Osmundsen, K., Iden, J., & Bygstad, B. (2018). Digital transformation: Drivers, success factors, and implications. Mediterranean Conference on Information Systems Proceedings, 12, 1–15.
   Google Scholar
• Osterwalder, A., & Pigneur, Y. (2010). Business model generation: A handbook for visionaries, game changers, and challengers. Wiley.
   Google Scholar
• Pagani, M., & Pardo, C. (2017). The impact of digital technology on relationships in a business network. Industrial Marketing Management, 67, 185–192. https://doi.org/10.1016/j.indmarman.2017.08.009
   Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Rafi, M., JianMing, Z., & Ahmad, K. (2020). Digital resources integration under the knowledge management model: An analysis based on the structural equation model. Information Discovery and Delivery, 48(4), 237–253. https://doi.org/10.1108/IDD-12-2019-0087
   Web of Science ®Google Scholar
• Ramaswamy, V., & Ozcan, K. (2016). Brand value co-creation in a digitalized world: An integrative framework and research implications. International Journal of Research in Marketing, 33(1), 93–106. https://doi.org/10.1016/j.ijresmar.2015.07.001
   Web of Science ®Google Scholar
• Rana, S., Prashar, S., Barai, M. K., & Hamid, A. B. A.(2021). Determinants of international marketing strategy for emerging market multinationals. International Journal of Emerging Markets, 16(2), 154–178.
   Web of Science ®Google Scholar
• Segars, A. H. (1997). Assessing the unidimensionality of measurement: A paradigm and illustration within the context of information systems research. Omega, 25(1), 107–121. https://doi.org/10.1016/S0305-0483(96)00051-5
   Web of Science ®Google Scholar
• Segars, A. H., & Grover, V. (1998). Strategic information systems planning success: An investigation of the construct and its measurement. MIS Quarterly, 22(2), 139–163. https://doi.org/10.2307/249393
   Web of Science ®Google Scholar
• Sekaran, U. (2012). Research methods for business (4th ed.). John Wiley & Sons.
   Google Scholar
• Selander, L., & Jarvenpaa, S. L. (2016). Digital action repertoires and transforming a social movement organization. MIS Quarterly, 40(2), 331–352.
   Web of Science ®Google Scholar
• Senyo, P. K., Effah, J., & Addae, E. (2016). Preliminary insight into cloud computing adoption in a developing country. Journal of Enterprise Information Management, 29(4), 505–524. https://doi.org/10.1108/JEIM-09-2014-0094
   Web of Science ®Google Scholar
• Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics (Vol. 5). Pearson.
   Google Scholar
• Teece, D. J. (2010). Business models, business strategy and innovation. Long Range Planning, 43(2–3), 172–194. https://doi.org/10.1016/j.lrp.2009.07.003
   Web of Science ®Google Scholar
• Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Qi Dong, J., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research Agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022
   Web of Science ®Google Scholar
• Weerawardena, J. (2003). The role of marketing capability in innovation-based competitive strategy. Journal of Strategic Marketing, 11(1), 15–35. https://doi.org/10.1080/0965254032000096766
   Google Scholar
• Werner, S. (2002). Recent developments in international management research: A review of 20 top management journals. Journal of Management, 28(3), 277–305. https://doi.org/10.1177/014920630202800303
   Web of Science ®Google Scholar
• Wood, S., Faulconbridge, J., Watson, I., & Teller, C.(2020). ‘Business code/spaces’ in digital service firms: The case of online multinational fashion retailing. Geoforum; Journal of Physical, Human, and Regional Geosciences, 112, 13–23.
   Web of Science ®Google Scholar
• Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010). Research commentary —the new organizing logic of digital innovation: An Agenda for information systems research. Information Systems Research, 21(4), 724–735. https://doi.org/10.1287/isre.1100.0322
   Web of Science ®Google Scholar
• Yu, J., & Cooper, H. (1983). A quantitative review of research design effects on response rates to questionnaires. JMR, Journal of Marketing Research, 20(1), 36. https://doi.org/10.1177/002224378302000105
   Web of Science ®Google Scholar
• Zott, C., & Amit, R. (2008). The fit between product market strategy and business model: Implications for firm performance. Strategic Management Journal, 29(1), 1–26. https://doi.org/10.1002/smj.642
   Web of Science ®Google Scholar