The Impact of Digital Transformation on Business Performance: A Study of Pakistani SMEs

M. F. Mubarak, F. A. Shaikh, M. Mubarik, K. A. Samo, S. Mastoi

Abstract


Business ecosystems are continuously evolving. In this hyper-competitive era, firms are increasingly transforming their business operations through advanced digital technologies. Gone are the days of mere testing and debating the influence of digital transformation and industry 4.0, yet the time has come for actionable steps. Therefore, this study has identified the role of industry 4.0 technologies including big data, cyber-physical systems, internet of things and interoperability, on the performance of Small and Medium-sized Enterprises (SMEs) in Pakistan. A relevant questionnaire was developed and distributed randomly in the cities of Karachi, Lahore, Peshawar, Islamabad, Gujrat, and Sialkot. After applying multiple regression techniques through SPSS, it was found that big data, cyber-physical systems, and interoperability have a significant positive impact to improve business performance, while the insignificant effect of internet of things was revealed. Since the research in the area of digital transformation and industry 4.0 is scant, the current study has contributed novel directions, insights and a framework for future researchers. Moreover, this study will help managers to justify the allocation of resources towards technological infrastructure development in the operations of their firms. Finally, policymakers will find it helpful in order to devise suitable strategies for developing human capital and to enhance their absorptive capacity.


Keywords


digital transformation; business performance; Pakistani SMEs; industry 4.0

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References


M. Imran, W. Hameed, A. U. Haque, “Influence of industry 4.0 on the production and service sectors in Pakistan: Evidence from textile and logistics industries”, Social Sciences, Vol. 7, No. 12, pp. 246, 2018

A. Bharadwaj, O. A. E. Sawy, P. A. Pavlou, N. Venkatraman, “Digital business strategy: Toward a next generation of insights”, MIS Quarterly, Vol. 37, No. 2, pp. 471–482, 2013

D. Q. Chen, D. S. Preston, M. Swink, “How the use of big data analytics affects value creation in supply chain management”, Journal of Management Information Systems, Vol. 32, No. 4, pp. 4–39, 2015

S. Faraj, S. Pachidi, K. Sayegh, “Working and organizing in the age of the learning algorithm”, Information and Organization, Vol. 28, No. 1, pp. 62–70, 2018

A. Toffler, The third wave, Bantam Books, 1980

German Federal Ministry for Economic Affairs and Energy, Industry 4.0, 2018

M. S. Mubarik, C. Govindaraju, E. S. Devadason, “Human capital development for SMEs in Pakistan: is the one-size-fits-all policy adequate?”, International Journal of Social Economics, Vol. 43, No. 8, pp. 804-822, 2016

G. Wang, A. Gunasekaran, E. W. T. Ngai, T. Papadopoulos, “Big data analytics in logistics and supply chain management: Certain investigations for research and applications”, International Journal of Production Economics, Vol. 176, pp. 98–110, 2016

M. S. Shahbaz, R. Z. R. Rasi, M. F. B. Ahmad, “A novel classification of supply chain risks: Scale development and validation”, Journal of Industrial Engineering and Management, Vol. 12, No. 1, pp. 201–218, 2019

S. Mubarik, N. Naghavi, M. F. Mubarik, “Governance-led intellectual capital disclosure: Empirical evidence from Pakistan”, Humanities and Social Sciences Letters, Vol. 7, No. 3, pp. 141–155, 2019

J. Bughin, T. Kretschmer, N. V. Zeebroeck, “Experimentation, learning and stress: The role of digital technologies in strategy change”, iCite Working Paper 2019 - 31, 2019

M. S. Shahbaz, M. A. Soomro, N. U. K. Bhatti, Z. Soomro, M. Z. Jamali, “The impact of supply chain capabilities on logistic efficiency for the construction projects”, Civil Engineering Journal, Vol. 5, No. 6, pp. 1249–1256, 2019

B. Slusarczyk, “Industry 4.0: Are we ready?”, Polish Journal of Management Studies, Vol. 17, No. 1, pp. 232-248, 2018

L. Thames, D. Schaefer, “Software-defined cloud manufacturing for industry 4.0”, Procedia CIRP, Vol. 52, pp. 12–17, 2016

J. Posada, C. Toros, I. Barandiaran, D. Oyarzun, D. Stricker, R. D. Amicis, E. B. Pinto, P. Eisert, J. Dollner, I. Vallarino, “Visual computing as a key enabling technology for industrie 4.0 and industrial internet”, IEEE Computer Graphics and Applications, Vol. 35, No. 2, pp. 26–40, 2015

L. D. Xu, E. L. Xu, L. Li., “Industry 4.0: State of the art and future trends”, International Journal of Production Research, Vol. 56, No. 8, pp. 2941–2962, 2018

J. Qureshi, G. M. Herani, “The role of small and medium-size enterprises (SMEs) in the socio-economic stability of Karachi”, Indus Journal of Management & Social Sciences, Vol. 4, No. 2, pp. 30–44, 2011

SMEDA, “State of SMEs in Pakistan”, available at https://smeda.org/index.php?option=com_content&view=article&id=7:state-of-smes-in-pakistan&catid=15, 2019

M. S. Dar, S. Ahmed, A. Raziq, “Small and medium-size enterprises in Pakistan: Definition and critical issues”, Pakistan Business Review, Vol. 19, No. 1, pp. 46–70, 2017

C. Homburg, D. Wielgos, C. Kuhnl, “Digital business capability and its effect on firm performance”, AMA Winter Academic Conference: Understanding Complexity, Transforming the Marketplace, Chicago, USA, February 22-24 ,2019

M. S. Shahbaz, R. Z. R. M. Rasi, M. F. B. Ahmad, S. Sohu, “The impact of supply chain collaboration on operational performance: Empirical evidence from manufacturing of Malaysia”, International Journal of Advanced and Applied Sciences, Vol. 5, No. 8, pp. 64–71, 2018

G. Zhang, X. Peng, J. Li, “Technological entrepreneurship and policy environment: A case of China”, Journal of Small Business and Enterprise Development, Vol. 15, No. 4, pp. 733–751, 2008

V. H. Birgit, D. Hess, “Guest editorial industry 4.0–prerequisites and visions”, IEEE Transactions on Automation Science and Engineering, Vol. 13, No. 2, pp. 411–413, 2016

D. Lukac, “The fourth ICT-based industrial revolution “industry 4.0”—HMI and the case of CAE/CAD innovation with EPLAN P8”, 23rd Telecommunications Forum Telfor, Belgrade, Serbia, November 24-26, 2015

Industrial Internet Consortium, A global industry first: Industrial Internet Consortium and Plattform Industrie 4.0 to Host Joint IIoT Security Demonstration at Hannover Messe, Press Release, IIC, 2017

H. Kagermann, W. Wahlster, J. Helbig, Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Final report of the Industrie 4.0 Working Group, Forschungsunion, 2013

J. K. Gerrikagoitia, G. Unamuno, E. Urkia, A. Serna, “Digital manufacturing platforms in the industry 4.0 from private and public perspectives”, Applied Sciences, Vol. 9, No. 14, Article ID 2934, 2019

G. Nawanir, The effect of lean manufacturing on operations performance and business performance in manufacturing companies in Indonesia, PhD Thesis, Universiti Utara Malaysia, 2016

M. S. Shahbaz, A. G. Kazi, B. Othman, M. Javaid, K. Hussain, R. Z. R. M. Rasi, “Identification, assessment and mitigation of environment side risks for Malaysian manufacturing”, Engineering, Technology & Applied Science Research, Vol. 9, No. 1, pp. 3851–3857, 2019

E. Brynjolfsson, L. M. Hitt, “Beyond computation: Information technology, organizational transformation and business performance”, Journal Of Economic Perspectives, Vol. 14, No. 4, pp. 23–48, 2000

M. Ghobakhloo, T. S. Hong, “It investments and business performance improvement: The mediating role of lean manufacturing implementation”, International Journal of Production Research, Vol. 52, No. 18, pp. 5367–5384, 2014

L. Heracleous, M. Barrett, “Organizational change as discourse: Communicative actions and deep structures in the context of information technology implementation”, Academy of Management Journal, Vol. 44, No. 4, pp. 755–778, 2001

H. Lasi, P. Fettke, H. G. Kemper, T. Feld, M. Hoffmann, “Industry 4.0”, Business & Information Systems Engineering, Vol. 6, No. 4, pp. 239–242, 2014

M. S. Shahbaz, S. Sohu, F. Z. Khaskhelly, A. Bano, M. A. Soomro, “A novel classification of supply chain risks: A review”, Engineering, Technology & Applied Science Research, Vol. 9, No. 3, pp. 4301–4305, 2019

S. Erevelles, N. Fukawa, L. Swayne, “Big data consumer analytics and the transformation of marketing”, Journal of Business Research, Vol. 69, No. 2, pp. 897–904, 2016

J. Manyika, M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, A. H. Byers, Big Data: The next frontier for innovation, competition, and productivity, McKinsey & Company, 2011

P. Zikopoulos, C. Eaton, D. Deroos, T. Deutsch, G. Lapis, Understanding big data: Analytics for enterprise class hadoop and streaming data, McGraw-Hill Osborne Media, 2011

A. Gunasekaran, T. Papadopoulos, R. Dubey, S. F. Wamba, S. J. Childe, B. Hazen, S. Akter, “Big data and predictive analytics for supply chain and organizational performance”, Journal of Business Research, Vol. 70, pp. 308–317, 2017

K. Ashton, “That 'internet of things' thing: In the real world, things matter more than ideas”, RFID Journal, Vol. 22, No. 7, pp. 97–114, 2009

T. Li, W. Chen, Y. Tang, H. Yan, “A homomorphic network coding signature scheme for multiple sources and its application in IoT”, Vol. 2018, Article ID 9641273,2018

L. Belli, L. Davoli, A. Medioli, P. L. Marchini, G. Ferrari, “Towards industry 4.0 with IoT: Optimizing business processes in an evolving manufacturing factory”, Frontiers in ICT, Vol. 6, Article ID 17, 2019

J. K. Nwankpa, Y. Roumani, “It capability and digital transformation: A firm performance perspective”, Thirty Seventh International Conference on Information Systems, Dublin, Ireland, December 11-14, 2016

M. S. Shahbaz, A. F. Chandio, M. Oad, A. Ahmed, R. Ullah, “Stakeholders’ management approaches in construction supply chain: A new perspective of Stakeholder’s theory”, International Journal of Sustainable Construction Engineering and Technology, Vol. 9, No. 2, pp. 16–26, 2018

Kenpro, “Sample size determination using Krejcie and Morgan table”, available at: http://www.kenpro.org/sample-size-determination-using-krejcie-and-morgan-table, 1970

M. Sarstedt, C. M. Ringle, J. F. Hair, “Treating unobserved heterogeneity in PLS-SEM: A multi-method approach”, in: Partial least squares path modeling, pp. 197–217, Springer, 2017

J. W. Creswell, Research design: Qualitative, quantitative, and mixed methods approaches, Sage, 2017

R. K. Shukla, “Coordination practices in supply chain management: An empirical study of Indian manufacturing firms”, Journal of Management Research, Vol. 16, No. 1, pp. 44–54, 2016

B. Waschneck, T. Altenmuller, T. Bauernhansl, A. Kyek, “Production scheduling in complex job shops from an industrie 4.0 perspective: A review and challenges in the semiconductor industry”, International Conference on Knowledge Technologies and Data-Driven Business, Graz, Austria, October 18-19, 2016

S. Keawphang, “Corporate governance and corporate disclosure and transparency lessons from the thai financial crisis of 1997”, International Journal of Business, Economics and Law, Vol. 5, No. 4, pp. 115–118, 2014

M. S. Shahbaz, S. Kazi, N. U. K. Bhatti, S. A. Abbasi, R. Z. R. Rasi, “The impact of supply chain risks on supply chain performance: Empirical evidence from the manufacturing of Malaysia”, International Journal of Advanced And Applied Sciences, Vol. 6, No. 9, pp. 1–12, 2019

G. C. Kane, D. Palmer, A. N. Phillips, D. Kiron, N. Buckley, “Strategy, not technology, drives digital transformation”, MIT Sloan Management Review and Deloitte University Press, Vol. 14, pp. 1–25, 2015




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