The impacts of digital transformation on data-based ethical decision-making and environmental performance in Vietnamese manufacturing firms: The moderating role of organizational mindfulness

References

• Adomako, S., & Nguyen, N. P. (2020). Human resource slack, sustainable innovation, and environmental performance of small and medium‐sized enterprises in sub‐Saharan Africa. Business Strategy and the Environment, 29(8), 2984–20. https://doi.org/10.1002/bse.2552
   Web of Science ®Google Scholar
• Agarwal, R., Gao, G., DesRoches, C., & Jha, A. K. (2010). Research commentary—The digital transformation of healthcare: Current status and the road ahead. Information Systems Research, 21(4), 796–809. https://doi.org/10.1287/isre.1100.0327
   Web of Science ®Google Scholar
• Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: Testing and interpreting interactions. Sage Publications.
   Google Scholar
• Albukhitan, S. (2020). Developing digital transformation strategy for manufacturing. Procedia Computer Science, 170, 664–671. https://doi.org/10.1016/j.procs.2020.03.173
   Google Scholar
• Ardito, L., Raby, S., Albino, V., & Bertoldi, B. (2021). The duality of digital and environmental orientations in the context of SMEs: Implications for innovation performance. Journal of Business Research, 123, 44–56. https://doi.org/10.1016/j.jbusres.2020.09.022
   Web of Science ®Google Scholar
• Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–402. https://doi.org/10.1177/002224377701400320
   Web of Science ®Google Scholar
• Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
   Web of Science ®Google Scholar
• Beach, L. R., & Mitchell, T. R. (1978). A contingency model for the selection of decision strategies. Academy of Management Review, 3(3), 439–449. https://doi.org/10.1016/0030-5073(79)90027-8
   Google Scholar
• Bergkvist, L. (2015). Appropriate use of single-item measures is here to stay. Marketing Letters, 26(3), 245–255. https://doi.org/10.1007/s11002-014-9325-y
   Web of Science ®Google Scholar
• Borangiu, T., Trentesaux, D., Thomas, A., Leitão, P., & Barata, J. (2019). Digital transformation of manufacturing through cloud services and resource virtualization. Computers in Industry, 108, 150–162. https://doi.org/10.1016/j.compind.2019.01.006
   Web of Science ®Google Scholar
• Chan, R. Y. (2005). Does the natural‐resource‐based view of the firm apply in an emerging economy? A survey of foreign invested enterprises in China. Journal of Management Studies, 42(3), 625–672. https://doi.org/10.1111/j.1467-6486.2005.00511.x
   Web of Science ®Google Scholar
• Chen, Y., Tang, G., Jin, J., Li, J., & Paillé, P. (2015). Linking market orientation and environmental performance: The influence of environmental strategy, employee’s environmental involvement, and environmental product quality. Journal of Business Ethics, 127(2), 479–500. https://doi.org/10.1007/s10551-014-2059-1
   Web of Science ®Google Scholar
• Cisco. (2019). Cisco APAC SMB digital maturity index. https://www.cisco.com/c/dam/m/en_sg/assests/pdfs/109566-d1-ebook.pdf
   Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioural sciences (3rd ed.). Erlbaum.
   Google Scholar
• Dardati, E., & Saygili, M. (2020). Foreign production and the environment: Does the type of FDI matter? International Review of Applied Economics, 34(6), 721–733. https://doi.org/10.1080/02692171.2020.1775791
   Web of Science ®Google Scholar
• Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Luo, Z., Wamba, S. F., & Roubaud, D. (2019). Can big data and predictive analytics improve social and environmental sustainability? Technological Forecasting and Social Change, 144, 534–545. https://doi.org/10.1016/j.techfore.2017.06.020
   Web of Science ®Google Scholar
• Einarsen, S., Hoel, H., & Notelaers, G. (2009). Measuring exposure to bullying and harassment at work: Validity, factor structure and psychometric properties of the Negative Acts Questionnaire-Revised. Work and Stress, 23(1), 24–44. https://doi.org/10.1080/02678370902815673
   Web of Science ®Google Scholar
• Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.
   Google Scholar
• Favoretto, C., de Sousa Mendes, G. H., Godinho Filho, M., de Oliveira, M. G., & Ganga, G. M. D. (2021). Digital transformation of business model in manufacturing companies: Challenges and research agenda. Journal of Business & Industrial Marketing. https://doi.org/10.1108/JBIM-10-2020-0477
   Web of Science ®Google Scholar
• Fernández-Rovira, C., Valdés, J. Á., Molleví, G., & Nicolas-Sans, R. (2021). The digital transformation of business. Towards the datafication of the relationship with customers. Technological Forecasting and Social Change, 162, 120339. https://doi.org/10.1016/j.techfore.2020.120339
   Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Galati, F., & Bigliardi, B. (2019). Industry 4.0: Emerging themes and future research avenues using a text mining approach. Computers in Industry, 109, 100–113. https://doi.org/10.1016/j.compind.2019.04.018
   Web of Science ®Google Scholar
• Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1–2), 1–12. https://doi.org/10.1016/j.lrp.2013.01.001
   Web of Science ®Google Scholar
• Hart, S. L. (1995). A natural-resource-based view of the firm. Academy of Management Review, 20(4), 986–1014. https://doi.org/10.2307/258963
   Web of Science ®Google Scholar
• 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. https://doi.org/10.1007/s11747-014-0403-8.
   Web of Science ®Google Scholar
• Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
   Web of Science ®Google Scholar
• Hess, T., Matt, C., Benlian, A., & Wiesböck, F. (2020). Options for formulating a digital transformation strategy. In Robert, D. Galliers, Dorothy, E. Leidner, Boyka, Simeonova eds. Strategic Information Management (pp. 151–173 doi:). Routledge.
   Google Scholar
• Hirsch-Kreinsen, H. (2016). Digitization of industrial work: Development paths and prospects. Journal for Labour Market Research, 49(1), 1–14. https://doi.org/10.1007/s12651-016-0200-6.
   Web of Science ®Google Scholar
• Hoang, N. B., Nguyen, T. T., Nguyen, T. S., Bui, T. P. Q., & Bach, L. G. (2019). The application of expanded graphite fabricated by microwave method to eliminate organic dyes in aqueous solution. Cogent Engineering, 6(1), 1584939. https://doi.org/10.1080/23311916.2019.1584939
   Web of Science ®Google Scholar
• Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195–204. https://doi.org/10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7
   Web of Science ®Google Scholar
• Judge, W. Q., & Douglas, T. J. (1998). Performance implications of incorporating natural environmental issues into the strategic planning process: An empirical assessment. Journal of Management Studies, 35(2), 241–262. https://doi.org/10.1111/1467-6486.00092
   Web of Science ®Google Scholar
• Kline, R. B. (2016). Principles and practice of structural equation modeling (4 ed.). Guilford publications.
   Google Scholar
• Kohli, R., & Grover, V. (2008). Business value of IT: An essay on expanding research directions to keep up with the times. Journal of the Association for Information Systems, 9(1), 23–39. https://doi.org/10.17705/1jais.00147.
   Web of Science ®Google Scholar
• Kutzschenbach, V. M., & Daub, C.-H. (2021). Digital transformation for sustainability: A necessary technical and mental revolution. In Thomas, Ditzinger ed. New Trends in Business Information Systems and Technology (pp. 179–192). Springer.
   Google Scholar
• 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. https://doi.org/10.1016/j.accinf.2011.05.002.
   Google Scholar
• Li, H., Wu, Y., Cao, D., & Wang, Y. (2021). Organizational mindfulness towards digital transformation as a prerequisite of information processing capability to achieve market agility. Journal of Business Research, 122, 700–712. https://doi.org/10.1016/j.jbusres.2019.10.036.
   Web of Science ®Google Scholar
• Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114–121. https://doi.org/10.1037/0021-9010.86.1.114.
   PubMed Web of Science ®Google Scholar
• Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in IS research: A comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865–1883. https://doi.org/10.1287/mnsc.1060.0597.
   Web of Science ®Google Scholar
• Martínez-Caro, E., Cegarra-Navarro, J. G., & Alfonso-Ruiz, F. J. (2020). Digital technologies and firm performance: The role of digital organisational culture. Technological Forecasting and Social Change, 154, 119962. https://doi.org/10.1016/j.techfore.2020.119962
   Web of Science ®Google Scholar
• Matarazzo, M., Penco, L., Profumo, G., & Quaglia, R. (2021). Digital transformation and customer value creation in Made in Italy SMEs: A dynamic capabilities perspective. Journal of Business Research, 123, 642–656. https://doi.org/10.1016/j.jbusres.2020.10.033
   Web of Science ®Google Scholar
• Mintz, O., & Currim, I. S. (2013). What drives managerial use of marketing and financial metrics and does metric use affect performance of marketing-mix activities? Journal of Marketing, 77(2), 17–40. https://doi.org/10.1509/jm.11.0463
   Web of Science ®Google Scholar
• Mitchell, T. R., & Beach, L. R. (1990). “ … Do I love thee? Let me count … ” Toward an understanding of intuitive and automatic decision making. Organizational Behavior and Human Decision Processes, 47(1), 1–20. https://doi.org/10.1016/0749-5978(90)90044-A
   Web of Science ®Google Scholar
• Morgan, N. A., Kaleka, A., & Katsikeas, C. S. (2004). Antecedents of export venture performance: A theoretical model and empirical assessment. Journal of Marketing, 68(1), 90–108. https://doi.org/10.1509/jmkg.68.1.90.24028.
   Web of Science ®Google Scholar
• Nasiri, M., Ukko, J., Saunila, M., & Rantala, T. (2020). Managing the digital supply chain: The role of smart technologies. Technovation, 96, 102121. https://doi.org/10.1016/j.technovation.2020.102121
   Web of Science ®Google Scholar
• Nguyen, T. T. H., Zhang, W., Li, Z., Li, J., Ge, C., Liu, J., Bai, X., Feng, H., & Yu, L. (2016). Assessment of heavy metal pollution in Red River surface sediments, Vietnam. Marine Pollution Bulletin, 113(1–2), 513–519. https://doi.org/10.1016/j.marpolbul.2016.08.030
   PubMed Web of Science ®Google Scholar
• Nguyen, N. P., Ngo, L. V., Bucic, T., & Phong, N. D. (2018). Cross-functional knowledge sharing, coordination and firm performance: The role of cross-functional competition. Industrial Marketing Management, 71, 123–134. https://doi.org/10.1016/j.indmarman.2017.12.014
   Web of Science ®Google Scholar
• Nguyen, N. P., Wu, H., Evangelista, F., & Nguyen, T. N. Q. (2020). The effects of organizational mindfulness on ethical behaviour and firm performance: Empirical evidence from Vietnam. Asia Pacific Business Review, 26(3), 313–335. https://doi.org/10.1080/13602381.2020.1727649
   Web of Science ®Google Scholar
• Nguyen, N. P., & Adomako, S. (2022). Stakeholder pressure for eco‐friendly practices, international orientation, and eco‐innovation: A study of small and medium‐sized enterprises in Vietnam. Corporate Social Responsibility and Environmental Management, 29(1), 79–88. https://doi.org/10.1002/csr.2185
   Web of Science ®Google Scholar
• Nisar, Q. A., Nasir, N., Jamshed, S., Naz, S., Ali, M., & Ali, S. (2020). Big data management and environmental performance: Role of big data decision-making capabilities and decision-making quality. Journal of Enterprise Information Management, 34(4), 1061–1096. https://doi.org/10.1108/JEIM-04-2020-0137.
   Web of Science ®Google Scholar
• Nishitani, K., Nguyen, T. B. H., Trinh, T. Q., Wu, Q., & Kokubu, K. (2021). Are corporate environmental activities to meet sustainable development goals (SDGs) simply greenwashing? An empirical study of environmental management control systems in Vietnamese companies from the stakeholder management perspective. Journal of Environmental Management, 296, 113364. https://doi.org/10.1016/j.jenvman.2021.113364
   PubMed Web of Science ®Google Scholar
• Nkundabanyanga, S. K., Muramuzi, B., & Alinda, K. (2021). Environmental management accounting, board role performance, company characteristics and environmental performance disclosure. Journal of Accounting & Organizational Change, 17(5), 633–659. https://doi.org/10.1108/JAOC-03-2020-0035.
   Web of Science ®Google Scholar
• O’Brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41(5), 673–690. https://doi.org/10.1007/s11135-006-9018-6
   Web of Science ®Google Scholar
• Ouakouak, M. L., & Ouedraogo, N. (2017). Antecedents of employee creativity and organisational innovation: An empirical study. International Journal of Innovation Management, 21(7), 1750060. https://doi.org/10.1142/S1363919617500608
   Web of Science ®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
• Patel, T., & Holm, M. (2018). Practicing mindfulness as a means for enhancing workplace pro-environmental behaviors among managers. Journal of Environmental Planning and Management, 61(13), 2231–2256. https://doi.org/10.1080/09640568.2017.1394819
   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), 879–903.
   PubMed Web of Science ®Google Scholar
• Rachinger, M., Rauter, R., Müller, C., Vorraber, W., & Schirgi, E. (2018). Digitalization and its influence on business model innovation. Journal of Manufacturing Technology Management, 30(8), 1143–1160. https://doi.org/10.1108/JMTM-01-2018-0020
   Web of Science ®Google Scholar
• 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. https://doi.org/10.1016/j.ijresmar.2009.08.001.
   Web of Science ®Google Scholar
• Roberts, N., & Grover, V. (2012). Leveraging information technology infrastructure to facilitate a firm’s customer agility and competitive activity: An empirical investigation. Journal of Management Information Systems, 28(4), 231–270. https://doi.org/10.2753/MIS0742-1222280409.
   Web of Science ®Google Scholar
• Runhaar, H., & Driessen, P. P. (2007). What makes strategic environmental assessment successful environmental assessment? The role of context in the contribution of SEA to decision-making. Impact Assessment and Project Appraisal, 25(1), 2–14. https://doi.org/10.3152/146155107X190613.
   Google Scholar
• Savastano, M., Amendola, C., & D’Ascenzo, F. (2018). How digital transformation is reshaping the manufacturing industry value chain: The new digital manufacturing ecosystem applied to a case study from the food industry. In Lamboglia, R, Cardoni, A, Dameri, R, Mancini, D eds. Network, smart and open (pp. 127–142). https://doi.org/10.1007/978-3-319-62636-9_9 . Springer.
   Google Scholar
• Schwab, K. (2017). The fourth industrial revolution. Currency.
   Google Scholar
• Shahbaz, M., Haouas, I., & Van Hoang, T. H. (2019). Economic growth and environmental degradation in Vietnam: Is the environmental Kuznets curve a complete picture? Emerging Markets Review, 38, 197–218. https://doi.org/10.1016/j.ememar.2018.12.006.
   Web of Science ®Google Scholar
• Shahzad, M., Qu, Y., Zafar, A. U., Rehman, S. U., & Islam, T. (2020). Exploring the influence of knowledge management process on corporate sustainable performance through green innovation. Journal of Knowledge Management, 24(9), 2079–2106. https://doi.org/10.1108/JKM-11-2019-0624.
   Web of Science ®Google Scholar
• Singh, S., Sharma, M., & Dhir, S. (2021). Modeling the effects of digital transformation in Indian manufacturing industry. Technology in Society, 67, 101763. https://doi.org/10.1016/j.techsoc.2021.101763.
   Web of Science ®Google Scholar
• Tarter, C. J., & Hoy, W. K. (1998). Toward a contingency theory of decision making. Journal of Educational Administration, 36(3), 212–228 https://doi.org/10.1108/09578239810214687.
   Google Scholar
• Thomas, A., & Chopra, M. (2020). On how big data revolutionizes knowledge management. In Babu, George, Justin, Paul eds. Digital transformation in business and society (pp. 39–60). Palgrave Macmillan.
   Google Scholar
• Tiezzi, S. (2016). It’s official: Formosa subsidiary caused mass fish deaths in Vietnam. The Diplomat. https://thediplomat.com/2016/07/its-official-formosa-subsidiary-caused-mass-fish-deaths-in-vietnam/
   Google Scholar
• Tihanyi, C., Schumacher, C., & Mohr, A. T. (2021). International diversification, digital transformation, and the performance of MNEs. In Academy of Management Proceedings (Vol. 2021, No. 1, p. 14848). Briarcliff Manor, NY 10510: Academy of Management.
   Google Scholar
• Trevino, L. K., & Brown, M. E. (2004). Managing to be ethical: Debunking five business ethics myths. Academy of Management Perspectives, 18(2), 69–81 https://doi.org/10.5465/ame.2004.13837400.
   Google Scholar
• UNIDO. (2018). Industrial Development Report 2018. Demand for manufacturing: Driving inclusive and sustainable industrial development. United Nations Industrial Development Organization Vienna.
   Google Scholar
• Valentine, S., Godkin, L., & Varca, P. E. (2010). Role conflict, mindfulness, and organizational ethics in an education-based healthcare institution. Journal of Business Ethics, 94(3), 455–469 https://doi.org/10.1007/s10551-009-0276-9.
   Web of Science ®Google Scholar
• Valentine, S. R., Hollingworth, D., & Schultz, P. (2018). Data-based ethical decision making, lateral relations, and organizational commitment: Building positive workplace connections through ethical operations. Employee Relations, 40(6), 946–963.
   Web of Science ®Google Scholar
• Van, H. V., & Ly, K. C. (2021). Does rising corporate social responsibility promote firm tax payments? New perspectives from a quantile approach. International Review of Financial Analysis, 77, 101857 https://doi.org/10.1016/j.irfa.2021.101857.
   Web of Science ®Google Scholar
• Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., 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
• Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003.
   Web of Science ®Google Scholar
• Vogus, T. J., & Sutcliffe, K. M. (2012). Organizational mindfulness and mindful organizing: A reconciliation and path forward. Academy of Management Learning & Education, 11(4), 722–735. https://doi.org/10.5465/amle.2011.0002c.
   Web of Science ®Google Scholar
• Weber, E. U., & Johnson, E. J. (2009). Mindful judgment and decision making. Annual Review of Psychology, 60(1), 53–85. https://doi.org/10.1146/annurev.psych.60.110707.163633
   PubMed Web of Science ®Google Scholar
• Wen, H., Lee, C. C., & Song, Z. (2021). Digitalization and environment: How does ICT affect enterprise environmental performance? Environmental Science and Pollution Research, 28, 54826–54841. https://doi.org/10.1007/s11356-021-14474-5 .
   PubMed Web of Science ®Google Scholar
• World Bank. (2015). The World Bank in Vietnam. http://www.worldbank.org/en/country/vietnam/overview
   Google Scholar
• Zehir, C., Karaboğa, T., & Başar, D. (2020). The transformation of human resource management and its impact on overall business performance: Big data analytics and AI technologies in strategic HRM. In Prashanth, Mahagaonkar ed . Digital business strategies in blockchain ecosystems (pp. 265–279). Springer.
   Google Scholar