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Additive Manufacturing and Green Information Systems as Technological Capabilities for Firm Performance

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Abstract

Given the importance of environmental objectives, companies are continuously trying to achieve them through different means and technologies are not an exception. Companies are increasingly using information systems (soft side) coupled with manufacturing (hard side) technologies to achieve market and operational performance. Therefore, this study investigates the role of green information systems (GIS) and additive manufacturing (AM) in the market and operational performance achievement of an organization. This study explores if the role of GIS and AM is influenced by firm size and number of employees in the organization with the lens of organizational information processing theory. Through survey instrument, data from 211 respondents are collected and analysis is performed using structural equation modelling. Findings indicate that GIS is critical to overall performance as compared to AM. In addition, top management facilitates extension of business activities significantly as compared to internal operations. Control orientation works best for new technologies like GIS and AM. The study offers an array of scope for theoretical and practical implications to utilize GIS and emerging technologies like AM to achieve greater market and operational performance. Further, the study offers implications for AM and GIS professionals and researchers. The study contributes in integrating manufacturing and information systems to facilitate faster technological and information processing capabilities.

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References

  • Agarwal, R., Bajada, C., Brown, P. J., & Green, R. (2021). People Management Practices that Underpin Lean Management Outcomes. Global Journal of Flexible Systems Management, 22(2), 75–94.

    Article  Google Scholar 

  • Akhtar, P., Khan, Z., Frynas, J. G., Tse, Y. K., & Rao-Nicholson, R. (2018). Essential micro-foundations for contemporary business operations: Top management tangible competencies, relationship-based business networks and environmental sustainability. British Journal of Management, 29(1), 43–62.

    Article  Google Scholar 

  • Akhtar, M. & Sushil. (2018). Managing strategic performance in a dynamic business environment: A study of two Indian oil companies. Global Business and Organizational Excellence, 37(5), 47–62.

    Article  Google Scholar 

  • Amoako-Gyampah, K., Meredith, J., & Loyd, K. W. (2018). Using a social capital lens to identify the mechanisms of top management commitment: A case study of a technology project. Project Management Journal, 49(1), 79–95.

    Article  Google Scholar 

  • Anand, R., Norrie, J., Bradley, J. M., McAuley, D. F., & Clarke, M. (2020). Fool’s gold? Why blinded trials are not always best. BMJ, 368, 1–5.

    Google Scholar 

  • Anthony, Jr., B. (2019). Green information system integration for environmental performance in organizations: An extension of belief–action–outcome framework and natural resource-based view theory. Benchmarking: An International Journal, 26(3), 1033–1062.

  • Argyris, C., & Schön, D. (1978). Organizational learning: A theory of action perspective. Addison-Wesley.

    Google Scholar 

  • Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–402.

    Article  Google Scholar 

  • Astrachan, C. B., Patel, V. K., & Wanzenried, G. (2014). A comparative study of CB-SEM and PLS-SEM for theory development in family firm research. Journal of Family Business Strategy, 5(1), 116–128.

    Article  Google Scholar 

  • Attaran, M. (2017). The rise of 3-D printing: The advantages of additive manufacturing over traditional manufacturing. Business Horizons, 60(5), 677–688.

    Article  Google Scholar 

  • Azadegan, A., Mellat Parast, M., Lucianetti, L., Nishant, R., & Blackhurst, J. (2020). Supply Chain Disruptions and Business Continuity: An Empirical Assessment. Decision Sciences, 51(1), 38–73.

    Article  Google Scholar 

  • Baird, K., Hu, K. J., & Reeve, R. (2011). The relationships between organizational culture, total quality management practices and operational performance. International Journal of Operations & Production Management, 31(7), 789–814.

    Article  Google Scholar 

  • Bappy, M. M., Key, J., Hossain, N. U. I., & Jaradat, R. (2022). Assessing the Social Impacts of Additive Manufacturing Using Hierarchical Evidential Reasoning Approach. Global Journal of Flexible Systems Management, 23(2), 201–220.

    Article  Google Scholar 

  • Baumers, M., & Holweg, M. (2019). On the economics of additive manufacturing: Experimental findings. Journal of Operations Management, 65(8), 794–809.

    Article  Google Scholar 

  • Beltagui, A., Kunz, N., & Gold, S. (2019). The role of 3D printing and open design on adoption of socially sustainable supply chain innovation. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2019.07.035

    Article  Google Scholar 

  • Beltagui, A., Rosli, A., & Candi, M. (2020). Exaptation in a digital innovation ecosystem: The disruptive impacts of 3D printing. Research Policy. https://doi.org/10.1016/j.respol.2019.103833

    Article  Google Scholar 

  • Beltagui, A., Sesis, A., & Stylos, N. (2021). A bricolage perspective on democratising innovation: The case of 3D printing in makerspaces. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2020.120453

    Article  Google Scholar 

  • Benitez-Amado, J., & Walczuch, R. M. (2012). Information technology, the organizational capability of proactive corporate environmental strategy and firm performance: A resource-based analysis. European Journal of Information Systems, 21(6), 664–679.

    Article  Google Scholar 

  • Bensaou, M., & Venkatraman, N. (1995). Configurations of interorganizational relationships: A comparison between US and Japanese automakers. Management Science, 41(9), 1471–1492.

    Article  Google Scholar 

  • Bi, Z., Wang, G., Thompson, J., Ruiz, D., Rosswurm, J., Roof, S., & Guandique, C. (2022). System framework of adopting additive manufacturing in mass production line. Enterprise Information Systems, 16(4), 606–629.

    Article  Google Scholar 

  • Birasnav, M., Chaudhary, R., & Scillitoe, J. (2019). Integration of social capital and organizational learning theories to improve operational performance. Global Journal of Flexible Systems Management, 20(2), 141–155.

    Article  Google Scholar 

  • Bogers, M., Hadar, R., & Bilberg, A. (2016). Additive manufacturing for consumer-centric business models: Implications for supply chains in consumer goods manufacturing. Technological Forecasting and Social Change, 102, 225–239.

    Article  Google Scholar 

  • Candi, M., & Beltagui, A. (2019). Effective use of 3D printing in the innovation process. Technovation, 80, 63–73.

    Article  Google Scholar 

  • Carberry, E. J., Bharati, P., Levy, D. L., & Chaudhury, A. (2019). Social movements as catalysts for corporate social innovation: Environmental activism and the adoption of green information systems. Business & Society, 58(5), 1083–1127.

    Article  Google Scholar 

  • Cepeda-Carrion, G., Cegarra-Navarro, J. G., & Cillo, V. (2019). Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management. Journal of Knowledge Management, 23(1), 67–89.

    Article  Google Scholar 

  • Chan, H. K., Griffin, J., Lim, J. J., Zeng, F., & Chiu, A. S. (2018). The impact of 3D Printing Technology on the supply chain: Manufacturing and legal perspectives. International Journal of Production Economics, 205, 156–162.

    Article  Google Scholar 

  • Chen, L., He, Y., Yang, Y., Niu, S., & Ren, H. (2017). The research status and development trend of additive manufacturing technology. The International Journal of Advanced Manufacturing Technology, 89(9–12), 3651–3660.

    Article  Google Scholar 

  • Chen, Y. S. (2008). The driver of green innovation and green image–green core competence. Journal of Business Ethics, 81(3), 531–543.

    Article  Google Scholar 

  • Cheung, M. W. L., & Hong, R. Y. (2017). Applications of meta-analytic structural equation modelling in health psychology: Examples, issues, and recommendations. Health Psychology Review, 11(3), 265–279.

    Article  Google Scholar 

  • Chuang, S. P., & Huang, S. J. (2018). The effect of environmental corporate social responsibility on environmental performance and business competitiveness: The mediation of green information technology capital. Journal of Business Ethics, 150(4), 991–1009.

    Article  Google Scholar 

  • Chyung, S. Y., Roberts, K., Swanson, I., & Hankinson, A. (2017). Evidence-based survey design: The use of a midpoint on the Likert scale. Performance Improvement, 56(10), 15–23.

    Article  Google Scholar 

  • Cleland, D. I., Bidanda, B., & Chung, C. A. (1995). Human Issues in Technology Implementation-Part 2: The second part in a series focusing on human issues involved in the implementation of advanced manufacturing technology. INDUSTRIAL MANAGEMENT-CHICAGO THEN ATLANTA, 37, 15–16.

    Google Scholar 

  • de Mattos Nascimento, D. L., Nepomuceno, R. M., Caiado, R. G. G., Maqueira, J. M., Moyano-Fuentes, J., & Garza-Reyes, J. A. (2022). A sustainable circular 3D printing model for recycling metal scrap in the automotive industry. Journal of Manufacturing Technology Management, 33(5), 876–892.

    Article  Google Scholar 

  • Deshpandé, R., Farley, J. U., & Webster, F. E., Jr. (1993). Corporate culture, customer orientation, and innovativeness in Japanese firms: A quadrad analysis. Journal of Marketing, 57(1), 23–37.

    Article  Google Scholar 

  • Dougherty, D. (1996). Organizing for innovation. In S. R. Clegg, C. Handy, & W. R. Nord (Eds.), Handbook of Organization Studies (pp. 424–439). Sage.

    Google Scholar 

  • Dubey, R., Gunasekaran, A., Childe, S. J., Bryde, D. J., Giannakis, M., Foropon, C., Roubaud, D., & Hazen, B. T. (2020). Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2019.107599

    Article  Google Scholar 

  • Dubey, R., Gunasekaran, A., Childe, S. J., Wamba, S. F., & Papadopoulos, T. (2016). The impact of big data on world-class sustainable manufacturing. The International Journal of Advanced Manufacturing Technology, 84(1), 631–645.

    Article  Google Scholar 

  • Dubey, R., Gunasekaran, A., Sushil, & Singh, T. (2015). Building theory of sustainable manufacturing using total interpretive structural modelling. International Journal of Systems Science: Operations & Logistics, 2(4), 231–247.

    Google Scholar 

  • Durach, C. F., Kurpjuweit, S., & Wagner, S. M. (2017). The impact of additive manufacturing on supply chains. International Journal of Physical Distribution & Logistics Management, 47(10), 954–971.

    Article  Google Scholar 

  • Eyers, D. R., & Potter, A. T. (2017). Industrial Additive Manufacturing: A manufacturing systems perspective. Computers in Industry, 92, 208–218.

    Article  Google Scholar 

  • Flynn, B. B., & Flynn, E. J. (1999). Information-processing alternatives for coping with manufacturing environment complexity. Decision Sciences, 30(4), 1021–1052.

    Article  Google Scholar 

  • Ford, S., & Despeisse, M. (2016). Additive manufacturing and sustainability: An exploratory study of the advantages and challenges. Journal of Cleaner Production, 137, 1573–1587.

    Article  Google Scholar 

  • Galbraith, J. R. (1973). Designing complex organizations. Addison-Wesley Publishing.

  • Galbraith, J. R. (1974). Organization design: An information processing view. Interfaces, 4(3), 28–36.

    Article  Google Scholar 

  • Gambi, L. D. N., Boer, H., Gerolamo, M. C., Jørgensen, F., & Carpinetti, L. C. R. (2015). The relationship between organizational culture and quality techniques, and its impact on operational performance. International Journal of Operations & Production Management, 35(10), 1460–1484.

    Article  Google Scholar 

  • Gan, Z., Kafka, O. L., Parab, N., Zhao, C., Fang, L., Heinonen, O., Sun, T., & Liu, W. K. (2021). Universal scaling laws of keyhole stability and porosity in 3D printing of metals. Nature Communications, 12(1), 1–8.

    Article  Google Scholar 

  • Gattiker, T. F., & Goodhue, D. L. (2004). Understanding the local-level costs and benefits of ERP through organizational information processing theory. Information & Management, 41(4), 431–443.

    Article  Google Scholar 

  • Gholami, R., Sulaiman, A. B., Ramayah, T., & Molla, A. (2013). Senior managers’ perception on green information systems (IS) adoption and environmental performance: Results from a field survey. Information & Management, 50(7), 431–438.

    Article  Google Scholar 

  • Goldberg, D. M., Deane, J. K., Rakes, T. R., & Rees, L. P. (2021). 3d printing technology and the market value of the firm. Information Systems Frontiers. https://doi.org/10.1007/s10796-021-10143-7

    Article  Google Scholar 

  • Green, K. W., Zelbst, P. J., Meacham, J., & Bhadauria, V. S. (2012). Green supply chain management practices: Impact on performance. Supply Chain Management: An International Journal, 17(3), 290–305.

    Article  Google Scholar 

  • Guide, V.D.R. and Ketokivi, M. (2015). Notes from the editors: redefining some methodological criteria for the journal. Journal of Operations Management, 37(1), V-VIII.

  • Guo, N., & Leu, M. C. (2013). Additive manufacturing: Technology, applications and research needs. Frontiers of Mechanical Engineering, 8(3), 215–243.

    Article  Google Scholar 

  • Guo, S., Choi, T. M., & Chung, S. H. (2022). Self-design fun: Should 3D printing be employed in mass customization operations? European Journal of Operational Research, 299(3), 883–897.

    Article  Google Scholar 

  • Gupta, A. K., & Gupta, N. (2019). Innovation and culture as a dynamic capability for firm performance: A study from emerging markets. Global Journal of Flexible Systems Management, 20(4), 323–336.

    Article  Google Scholar 

  • Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049–1064.

    Article  Google Scholar 

  • Gupta, S., Modgil, S., & Gunasekaran, A. (2020). Big data in lean six sigma: A review and further research directions. International Journal of Production Research, 58(3), 947–969.

    Article  Google Scholar 

  • Gupta, S., Rudd, J., & Lee, N. (2014). Business sustainability through successful integration of marketing and operations. Industrial Marketing Management, 43(1), 3–5.

    Article  Google Scholar 

  • Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.

    Article  Google Scholar 

  • Hair, J. F., Jr., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modelling (PLS-SEM). European Business Review, 26(2), 106–121.

    Article  Google Scholar 

  • Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modelling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433.

    Article  Google Scholar 

  • Haußmann, C., Dwivedi, Y. K., Venkitachalam, K., & Williams, M. D. (2012). A summary and review of Galbraith’s organizational information processing theory. In Information Systems Theory (pp. 71–93). Springer, New York, NY.

  • Heinicke, A., Guenther, T. W., & Widener, S. K. (2016). An examination of the relationship between the extent of a flexible culture and the levers of control system: The key role of beliefs control. Management Accounting Research, 33, 25–41.

    Article  Google Scholar 

  • Hong, H., Li, F. W., & Xu, J. (2019). Climate risks and market efficiency. Journal of Econometrics, 208(1), 265–281.

    Article  Google Scholar 

  • Javaid, M., & Haleem, A. (2019). Current status and challenges of Additive manufacturing in orthopaedics: An overview. Journal of Clinical Orthopaedics and Trauma, 10(2), 380–386.

    Article  Google Scholar 

  • Jenkin, T. A., Webster, J., & McShane, L. (2011). An agenda for ‘Green’ information technology and systems research. Information and Organization, 21(1), 17–40.

    Article  Google Scholar 

  • Junior, B. A., Majid, M. A., & Romli, A. (2018). Green information technology for sustainability elicitation in government-based organisations: An exploratory case study. International Journal of Sustainable Society, 10(1), 20–41.

    Article  Google Scholar 

  • Khazanchi, S., Lewis, M. W., & Boyer, K. K. (2007). Innovation-supportive culture: The impact of organizational values on process innovation. Journal of Operations Management, 25(4), 871–884.

    Article  Google Scholar 

  • Khorasani, M., Loy, J., Ghasemi, A. H., Sharabian, E., Leary, M., Mirafzal, H., Cochrane, P., Rolfe, B. & Gibson, I. (2022). A review of Industry 4.0 and additive manufacturing synergy. Rapid Prototyping Journal. https://doi.org/10.1108/RPJ-08-2021-0194

  • Kirby, J. (2005). Toward a theory of high performance. Harvard Business Review, 83(7), 30–39.

    Google Scholar 

  • Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10.

    Article  Google Scholar 

  • Kock, N. (2019). From composites to factors: Bridging the gap between PLS and covariance-based structural equation modelling. Information Systems Journal, 29(3), 674–706.

    Article  Google Scholar 

  • Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546–580.

    Article  Google Scholar 

  • Kumar, S., & Haleem, A., & Sushil (2019). Assessing innovativeness of manufacturing firms using an intuitionistic fuzzy based MCDM framework. Benchmarking: An International Journal, 26(6), 1823–1844.

  • Kumar, D. S., & Purani, K. (2018). Model specification issues in PLS-SEM. Journal of Hospitality and Tourism Technology, 9(3), 338–353.

    Article  Google Scholar 

  • Kumar, V., Vrat, P., & Shankar, R. (2022). Factors Influencing the Implementation of Industry 4.0 for Sustainability in Manufacturing. Global Journal of Flexible Systems Management, https://doi.org/10.1007/s40171-022-00312-1.

  • Kunovjanek, M., Knofius, N., & Reiner, G. (2020). Additive manufacturing and supply chains–a systematic review. Production Planning & Control. https://doi.org/10.1080/09537287.2020.1857874

    Article  Google Scholar 

  • Kunovjanek, M., & Reiner, G. (2020). How will the diffusion of additive manufacturing impact the raw material supply chain process? International Journal of Production Research, 58(5), 1540–1554.

    Article  Google Scholar 

  • Lameijer, B. A., Pereira, W., & Antony, J. (2021). The implementation of Lean Six Sigma for operational excellence in digital emerging technology companies. Journal of Manufacturing Technology Management, 32(9), 260–284.

    Article  Google Scholar 

  • Lewis, M. W. (1998). Iterative triangulation: A theory development process using existing case studies. Journal of Operations Management, 16(4), 455–469.

    Article  Google Scholar 

  • Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of enterprise systems: The effect of institutional pressures and the mediating role of top management. MIS Quarterly, 31(1), 59–87.

    Article  Google Scholar 

  • Liao, Z. (2018). Environmental policy instruments, environmental innovation and the reputation of enterprises. Journal of Cleaner Production, 171, 1111–1117.

    Article  Google Scholar 

  • Liu, H., Ke, W., Wei, K. K., Gu, J., & Chen, H. (2010). The role of institutional pressures and organizational culture in the firm’s intention to adopt internet-enabled supply chain management systems. Journal of Operations Management, 28(5), 372–384.

    Article  Google Scholar 

  • MacKenzie, S. B., & Podsakoff, P. M. (2012). Common method bias in marketing: Causes, mechanisms, and procedural remedies. Journal of Retailing, 88(4), 542–555.

    Article  Google Scholar 

  • Maric, J. (2018). The gender-based digital divide in maker culture: Features, challenges and possible solutions. Journal of Innovation Economics Management, 27(3), 147–168.

    Google Scholar 

  • Marić, J. (2020). Exploring 3D printing technology in the context of product-service innovation: Case study of a business venture in south of France. International Journal of Business Environment, 11(3), 222–238.

    Article  Google Scholar 

  • Marić, J., Galera-Zarco, C., & Opazo-Basáez, M. (2021). The emergent role of digital technologies in the context of humanitarian supply chains: A systematic literature review. Annals of Operations Research. https://doi.org/10.1007/s10479-021-04079-z

    Article  Google Scholar 

  • Marić, J., & Opazo-Basáez, M. (2019). Green servitization for flexible and sustainable supply chain operations: A review of reverse logistics services in manufacturing. Global Journal of Flexible Systems Management, 20(1), 65–80.

    Article  Google Scholar 

  • Marić, J., Rodhain, F., & Barlette, Y. (2016). Frugal innovations and 3D printing: Insights from the field. Journal of Innovation Economics & Management, 21(3), 57–76.

    Article  Google Scholar 

  • Martínez, M. E. C., Aranda, D. A., & Gutiérrez, L. G. (2016). IT integration, operations flexibility and performance: An empirical study. Journal of Industrial Engineering and Management, 9(3), 684–707.

    Article  Google Scholar 

  • Matos, F., & Jacinto, C. (2019). Additive manufacturing technology: Mapping social impacts. Journal of Manufacturing Technology Management, 30(1), 70–97.

    Article  Google Scholar 

  • Murmura, F., & Bravi, L. (2018). Additive manufacturing in the wood-furniture sector. Journal of Manufacturing Technology Management, 29(2), 350–371.

    Article  Google Scholar 

  • Nasomboon, B. (2014). The relationship among leadership commitment, organizational performance, and employee engagement. International Business Research, 7(9), 77–90.

    Article  Google Scholar 

  • Ngo, T. D., Kashani, A., Imbalzano, G., Nguyen, K. T., & Hui, D. (2018). Additive manufacturing (3D printing): A review of materials, methods, applications and challenges. Composites Part B: Engineering, 143, 172–196.

    Article  Google Scholar 

  • Niaki, M. K., & Nonino, F. (2017). Impact of additive manufacturing on business competitiveness: A multiple case study. Journal of Manufacturing Technology Management, 28(1), 56–74.

    Article  Google Scholar 

  • Noble, C. H., & Mokwa, M. P. (1999). Implementing marketing strategies: Developing and testing a managerial theory. Journal of Marketing, 63(4), 57–73.

    Article  Google Scholar 

  • Opazo-Basaez, M, Vendrell-Herrero, F., Bustinza, O.F., Marić, J (2021). Global Value Chain breadth and firm productivity: The enhancing effect of Industry 4.0. Journal of Manufacturing Technology and Management. DOI: https://doi.org/10.1108/JMTM-12-2020-0498

  • Opazo-Basaez, M., Vendrell-Herrero, F., & Marić, J. (2022). Open and social: Portraying the resilient, social and competitive, upcoming enterprise. Journal of Enterprise Information Management. https://doi.org/10.1108/JEIM-06-2021-027

    Article  Google Scholar 

  • Panchagnula, J. S., & Simhambhatla, S. (2018). Manufacture of complex thin-walled metallic objects using weld-deposition based additive manufacturing. Robotics and Computer-Integrated Manufacturing, 49, 194–203.

    Article  Google Scholar 

  • Para-González, L., Jiménez-Jiménez, D., & Martínez-Lorente, A. R. (2018). Exploring the mediating effects between transformational leadership and organizational performance. Employee Relations, 40(2), 412–432.

    Article  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.

    Article  Google Scholar 

  • Prasanna, S. R., & Haavisto, I. (2018). Collaboration in humanitarian supply chains: An organisational culture framework. International Journal of Production Research, 56(17), 5611–5625.

    Article  Google Scholar 

  • Premkumar, G., Ramamurthy, K., & Saunders, C. S. (2005). Information processing view of organizations: An exploratory examination of fit in the context of interorganizational relationships. Journal of Management Information Systems, 22(1), 257–294.

    Article  Google Scholar 

  • Przychodzen, W., Gómez-Bezares, F., & Przychodzen, J. (2018). Green information technologies practices and financial performance–the empirical evidence from German publicly traded companies. Journal of Cleaner Production, 201, 570–579.

    Article  Google Scholar 

  • Quinn, R. E. (1988). Beyond rational management: Mastering the paradoxes and competing demands of high performance. Jossey-Bass.

  • Quinn, R. E., & Rohrbaugh, J. (1983). A spatial model of effectiveness criteria: Towards a competing values approach to organizational analysis. Management Science, 29(3), 363–377.

    Article  Google Scholar 

  • Raisinghani, M. S., & Idemudia, E. C. (2019). Green information systems for sustainability. In Green Business: Concepts, Methodologies, Tools, and Applications (pp. 565–579). IGI Global.

  • Ramaraj, P. (2010). Information systems flexibility in organizations: Conceptual models and research issues. Global Journal of Flexible Systems Management, 11(1), 1–12.

    Article  Google Scholar 

  • Ramaseshan, B., Ishak, A., & Rabbanee, F. K. (2013). The role of marketing managers’ commitment and involvement in marketing strategy implementation. Journal of Strategic Marketing, 21(6), 465–483.

    Article  Google Scholar 

  • Rayna, T., & Striukova, L. (2016). From rapid prototyping to home fabrication: How 3D printing is changing business model innovation. Technological Forecasting and Social Change, 102, 214–224.

    Article  Google Scholar 

  • Richard, O. C., Wu, P., & Chadwick, K. (2009). The impact of entrepreneurial orientation on firm performance: The role of CEO position tenure and industry tenure. The International Journal of Human Resource Management, 20(5), 1078–1095.

    Article  Google Scholar 

  • Rong, K., Patton, D., & Chen, W. (2018). Business models dynamics and business ecosystems in the emerging 3D printing industry. Technological Forecasting and Social Change, 134, 234–245.

    Article  Google Scholar 

  • Ruekert, R. W., & Walker, O. C., Jr. (1987). Marketing’s interaction with other functional units: A conceptual framework and empirical evidence. Journal of Marketing, 51(1), 1–19.

    Article  Google Scholar 

  • Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54–89.

  • Sarstedt, M., Ringle, C. M., Henseler, J., & Hair, J. F. (2014). On the emancipation of PLS-SEM: A commentary on Rigdon (2012). Long Range Planning, 47(3), 154–160.

    Article  Google Scholar 

  • Schniederjans, D. G. (2017). Adoption of 3D-printing technologies in manufacturing: A survey analysis. International Journal of Production Economics, 183, 287–298.

    Article  Google Scholar 

  • Schwab, L., Gold, S., Kunz, N., & Reiner, G. (2017). Sustainable business growth: Exploring operations decision-making. Journal of Global Responsibility, 8(1), 83–95.

    Article  Google Scholar 

  • Shao, Z., Feng, Y., & Hu, Q. (2017). Impact of top management leadership styles on ERP assimilation and the role of organizational learning. Information & Management, 54(7), 902–919.

    Article  Google Scholar 

  • Sharma, S., Prakash, G., Kumar, A., Mussada, E. K., Antony, J., & Luthra, S. (2021). Analysing the relationship of adaption of green culture, innovation, green performance for achieving sustainability: Mediating role of employee commitment. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2021.127039

    Article  Google Scholar 

  • Siegler, K., & Gaughan, B. (2008). A practical approach to Green IT. Webinar. http://www.itmanagement.com/land/green-it-webinar. (Accessed on 17th Jan, 2021).

  • Sood, S. K., Rawat, K. S., & Sharma, G. (2022). 3-D printing technologies from infancy to recent times: A scientometric review. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2021.3134128

    Article  Google Scholar 

  • Sossou, G., Demoly, F., Montavon, G., & Gomes, S. (2018). An additive manufacturing oriented design approach to mechanical assemblies. Journal of Computational Design and Engineering, 5(1), 3–18.

    Article  Google Scholar 

  • Spencer, S. Y., Adams, C., & Yapa, P. W. (2013). The mediating effects of the adoption of an environmental information system on top management’s commitment and environmental performance. Sustainability Accounting, Management and Policy Journal, 4(1), 75–102.

    Article  Google Scholar 

  • Srinivasan, R., & Swink, M. (2018). An investigation of visibility and flexibility as complements to supply chain analytics: An organizational information processing theory perspective. Production and Operations Management, 27(10), 1849–1867.

    Article  Google Scholar 

  • Sushil. (2017). Small steps for a giant leap: Flexible organization. Global Journal of Flexible Systems Management, 18(4), 273–274.

    Article  Google Scholar 

  • Tatikonda, M. V., & Stock, G. N. (2003). Product technology transfer in the upstream supply chain. Journal of Product Innovation Management, 20(6), 444–467.

    Article  Google Scholar 

  • Tofail, S. A., Koumoulos, E. P., Bandyopadhyay, A., Bose, S., O’Donoghue, L., & Charitidis, C. (2018). Additive manufacturing: Scientific and technological challenges, market uptake and opportunities. Materials Today, 21(1), 22–37.

    Article  Google Scholar 

  • Tripathi, M., Kashiramka, S., & Jain, P. K. (2018). Flexibility in measuring corporate financial performance, EVA versus conventional earnings measures: Evidences from India and China. Global Journal of Flexible Systems Management, 19(2), 123–138.

    Article  Google Scholar 

  • Tushman, M. L., & Nadler, D. A. (1978). Information processing as an integrating concept in organizational design. Academy of Management Review, 3(3), 613–624.

    Article  Google Scholar 

  • Tyre, M. J., & Orlikowski, W. J. (1993). Exploiting opportunities for technological improvement in organizations. Sloan Management Review, 35(1), 13–27.

    Google Scholar 

  • Urhal, P., Weightman, A., Diver, C., & Bartolo, P. (2019). Robot assisted additive manufacturing: A review. Robotics and Computer-Integrated Manufacturing, 59, 335–345.

    Article  Google Scholar 

  • Verma, V. K., Kamble, S. S., Ganapathy, L., Belhadi, A., & Gupta, S. (2022). 3D Printing for sustainable food supply chains: Modelling the implementation barriers. International Journal of Logistics Research and Applications. https://doi.org/10.1080/13675567.2022.2037125

    Article  Google Scholar 

  • Verna, E., & Maisano, D. A. (2022). A benchmark analysis of the quality of distributed additive manufacturing centers. International Journal of Quality & Reliability Management. https://doi.org/10.1108/IJQRM-07-2021-0214

    Article  Google Scholar 

  • Wang, Y., Chen, Y., & Benitez-Amado, J. (2015). How information technology influences environmental performance: Empirical evidence from China. International Journal of Information Management, 35(2), 160–170.

    Article  Google Scholar 

  • Weller, C., Kleer, R., & Piller, F. T. (2015). Economic implications of 3D printing: Market structure models in light of additive manufacturing revisited. International Journal of Production Economics, 164, 43–56.

    Article  Google Scholar 

  • White, J. C., Varadarajan, P. R., & Dacin, P. A. (2003). Market situation interpretation and response: The role of cognitive style, organizational culture, and information use. Journal of Marketing, 67(3), 63–79.

    Article  Google Scholar 

  • Wong, C. W., Lirn, T. C., Yang, C. C., & Shang, K. C. (2020). Supply chain and external conditions under which supply chain resilience pays: An organizational information processing theorization. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2019.107610

    Article  Google Scholar 

  • Xu, X., He, P., Xu, H., & Zhang, Q. (2017). Supply chain coordination with green technology under cap-and-trade regulation. International Journal of Production Economics, 183, 433–442.

    Article  Google Scholar 

  • Yang, Z., Sun, J., Zhang, Y., & Wang, Y. (2019). Perceived fit between green IS and green SCM: Does it matter? Information & Management, 56(7), 103154.

    Article  Google Scholar 

  • Yang, Z., Sun, J., Zhang, Y., Wang, Y., & Cao, L. (2017). Employees’ collaborative use of green information systems for corporate sustainability: Motivation, effort and performance. Information Technology for Development, 23(3), 486–506.

    Article  Google Scholar 

  • Yu, W., Chavez, R., Feng, M., & Wiengarten, F. (2014). Integrated green supply chain management and operational performance. Supply Chain Management: An International Journal, 19(5/6), 683–696.

    Article  Google Scholar 

  • Zahra, S. A. (2020). Technological capabilities and international expansion: The moderating role of family and non-family firms’ social capital. Asia Pacific Journal of Management, 37(2), 391–415.

    Article  Google Scholar 

  • Zammuto, R. F., & O’Connor, E. J. (1992). Gaining advanced manufacturing technologies’ benefits: The roles of organization design and culture. Academy of Management Review, 17(4), 701–728.

    Article  Google Scholar 

  • Zarco, C. G., Opazo-Basaez, M., Marić, J., & Garcia Feijo, M. (2020). Digitalization and the inception of concentric strategic alliances: A case study in the retailing sector. Strategic Change, 29(2), 165–177.

    Article  Google Scholar 

  • Zuo, Y. (2021). Making smart manufacturing smarter–a survey on blockchain technology in Industry 4.0. Enterprise Information Systems, 15(10), 1323–1353.

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Authors and Affiliations

  1. Department of Information Systems, Supply Chain Management & Decision Support, NEOMA Business School, 59 Rue Pierre Taittinger, 51100, Reims, France

    Shivam Gupta

  2. Department of Operations Management, International Management Institute Kolkata, 2/4 C, Judges Ct Rd, Alipore, Kolkata, West Bengal, 700027, India

    Sachin Modgil

  3. Department of Industrial Engineering, University of Naples Federico II, P.le Tecchio 80, 80125, Naples, Italy

    Piera Centobelli & Serena Strazzullo

  4. Department of Engineering, University of Naples Parthenope, Centro direzionale di Napoli, Isola C4, 80143, Naples, Italy

    Roberto Cerchione

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  1. Shivam Gupta
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Appendix: Operationalization of constructs

Appendix: Operationalization of constructs

Latent variable

Items

Constructs

Green Information Systems (GIS) (Yang et al., 2019)

GIS1

Our organization utilizes green information system practices to reduce overall consumption and emissions

GIS2

Our organization utilizes green information system practices to reduce overall waste

GIS3

Our organization utilizes green information system practices to reduce overall use of hazardous and toxic materials

GIS4

Our organization utilizes green information system practices to make material sourcing and acquisition more environmentally friendly

GIS5

Our organization utilizes green information system practices to make product distribution and delivery more environmentally friendly

GIS6

Our organization utilizes green information system practices to make product disassembly and remanufacturing routings more environmentally friendly

GIS7

Our organization utilizes green information system practices to facilitate green operations across the organization

GIS8

Our organization utilizes green information system practices to facilitate management support and control for sustainable development

GIS9

Our organization utilizes green information system practices to facilitate environmental compliance and auditing

Additive Manufacturing (AM) (Durach et al., 2017)

AM1

In our firm, additive manufacturing and 3 D printing contribute in less energy consumption in manufacturing

AM2

In manufacturing processes of our firm material consumption is less with the additive manufacturing technology

AM3

Additive manufacturing improves the process flexibility and fulfil the demand in supply chain faster

AM4

Additive manufacturing helps in redesigning the supply chain networks into decentralized and distributed production network

AM5

In our firm, we have very less inventory due to 3D manufacturing facility

AM6

Due to additive manufacturing we are able to reduce the transportation costs

AM7

Additive manufacturing improves the product development time and contributes towards agile supply chain

Top Management Commitment (TMC) (Liang et al., 2007)

TMC1

The senior management of our firm believes that green information systems has the potential to provide significant business benefits to the firm

TMC2

The senior management of our firm believes that green information systems will create a significant competitive edge for firms

TMC3

The senior management of our firm actively articulates a vision for the organizational use of green information systems

TMC4

The senior management of our firm actively formulated a strategy for the organizational use of green information systems

TMC5

The senior management of our firm actively established goals and standards to monitor the projects based on green information systems

Flexible Orientation (FO) (Liu et al., 2010)

FO1

The glue that holds our organization together is loyalty and tradition. Commitment runs high

FO2

Our organization is a very dynamic and entrepreneurial place. People are willing to stick their necks out and take risks

FO3

The glue that holds our organization together is commitment to innovation and development. There is an emphasis on being first with products and services

FO4

Our organization emphasizes growth through developing new ideas. Generating new products or services is important

Control Orientation (CO) (Liu et al., 2010)

CO1

The glue that holds our organization together is formal rules and policies. Following rules is important

CO2

Our organization emphasizes permanence and stability. Efficiency is important

CO3

Our organization is a very production-oriented place. People are concerned with getting the job done

CO4

Our organization emphasizes outcomes and achievement. Accomplishing goals is important

Market Performance (MP) (Gupta & George, 2016)

MP1

We have entered new markets more quickly than our competitors

MP2

We have introduced new products or services into the market faster than our competitors

MP3

Our success rate of new products or services has been higher than our competitors

MP4

Our market share has exceeded that of our competitors

Operational Performance (OP) (Gupta & George, 2016)

OP1

Our productivity has exceeded that of our competitors

OP2

Our profit rate has exceeded that of our competitors

OP3

Our return on investment (ROI) has exceeded that of our competitors

OP4

Our sales revenue has exceeded that of our competitors

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Gupta, S., Modgil, S., Centobelli, P. et al. Additive Manufacturing and Green Information Systems as Technological Capabilities for Firm Performance. Glob J Flex Syst Manag 23, 515–534 (2022). https://doi.org/10.1007/s40171-022-00315-y

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