ICTs on Innovation and Performance of Firms: History
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Contributor:
Michael Erdiaw-Kwasie
,
Peter A. Murray
,
Mohammad Afshar Ali
,
,
Eswaran Velayutham

Disruptive information and communication technologies (ICTs), such as the Internet of things, mobile technologies, big data, and artificial intelligence, continue to influence the firms’ operational environments and are dramatically reshaping and transforming existing business models.

  • information and communication technology
  • innovation
  • regional Australia
  • Start-ups

1. Introduction

Firms need to improve their internal capabilities to cope with external changes in this era of digitalization, globalization, and COVID-19. Disruptive information and communication technologies (ICTs), such as the Internet of things, mobile technologies, big data, and artificial intelligence, continue to influence the firms’ operational environments and are dramatically reshaping and transforming existing business models [1][2]. New business opportunities and models continue to emerge using ICTs [2][3][4]; however, not every business can leverage these opportunities via technology [5][6]. The mixed results in the business value of technology across firms are evident in the literature [7][8], which has led to an ongoing research debate.
Small and medium enterprises (SMEs) in Australia, which are classified as businesses with fewer than 20 and 21–200 employees, respectively, account for almost 99.9% of businesses. Small businesses alone account for 93.8% of all employing businesses, employ 44% of Australia’s workforce, and contribute 35% of Australia’s gross profit [9]. It is observed that firms are increasingly adopting digital tools across all aspects of their operations to improve their outcomes as a business, and SMEs are no exception [10][11][12]. Studies show that ICT can help firms integrate into global markets through reductions in border operation costs, facilitating greater access to vital innovation assets [13][14][15]. Yet, despite the benefits and opportunities digital technologies bring and the significant increase in uptake in recent years, many SMEs continue to lag in adoption [4][5][10][16].
During COVID-19, consumers moved dramatically toward online channels, and firms and industries have responded largely in turn. According to a recent global survey [17], firms in all sectors and regions have accelerated the digitization of their customer, supply chain interactions, and internal operations by three to four years due to the pandemic. Despite the spike in ICT adoption among firms, the performance gap persists [18][19]. Returns from ICTs have never been straightforward and are not limited to simple technological adoptions. Rather, certain confounding factors can leverage these returns, including firms’ innovation behavior, skills, leadership, and workplace culture [18][20].
Despite the large body of literature, gaps in the understanding of the performance effects of ICTs on regional firms exist. The present research fills these gaps by considering the case of the Western Downs Region in Australia. SMEs’ use and performance of ICTs in the Western Downs Region in Queensland represent an interesting case. The region is a local government area in Queensland, Australia, with a resident population of approximately 33,000 people and a gross regional product of AUD 3.9 billion as of June 2018 [21]. Although the accumulated economic performance of the region has improved over time, a close investigation of the data indicates that large disparities exist in terms of economic performance across different sectors, with a shrinking economic contribution from numerous sectors. This finding reflects major downsides in the region’s economy. The mining boom has masked the new reality for most economic sectors, with certain ones experiencing sluggish growth. These differences have implications for the labor market, equitable income, the well-being of the population, future growth potential, and the sustainability of the regional economy.

2. The Resource-Based View (RBV) Framework

The resource-based view (RBV) posits that some tangible (capital, assets, ICT, equipment) and intangible (entrepreneurial abilities, skills, patents, R&D activities) resources have certain qualities that help firms acquire a unique competitive advantage. Many scholars have applied the RBV across different organizational settings to indicate how the theory drives competitive advantage for firms [22][23][24]. For example, although start-ups face liabilities of newness, smallness, and are pandemic prone [25][26], the ones with a well-endowed stock of tangible and intangible resources can expand their product lines into new industries [27].
RBV has emerged as an influential theory of firms’ strategic choices to attain and sustain competitive advantage in a dynamic market. Studies show that RBV supports firms that face serious competition for their products and resources [22][28]. Although RBV has been applied across different organizational levels, the use of RBV in start-up studies has been gaining pace [29][30][31]. Given the resource limitations that often plague start-up firms, the RBV has been considered a useful framework for analyzing their resources that may offer them some competitive advantage [32]. The application of RBV in entrepreneurial firms has solely focused extensively on strategic positioning, economic growth, and internationalization of operations [33].
RBV is crucial for a firm’s growth, as it emphasizes the need for heterogeneity in the firm’s capability and resources. Studies indicate that proper alignment and rational use of critical resources impact a firm’s performance in terms of its growth, expansion, and survival [27][34]. Start-ups and nascent firms with better resource endowments have greater success rates. For example, with regard to US start-ups, the presence of higher start-up capital, better entrepreneurial skills in the form of education, and prior experience contribute positively toward firm survival, leading to higher competitive advantage outcomes [35]. Caseiro and Coelho [34] also explored the effects of business intelligence on start-ups’ performance in Europe. The research concludes that business intelligence capacities significantly impact start-ups’ network learning, innovativeness, and performance [34]. Such findings confirm that start-ups need a sufficient endowment of resources to survive and thrive.
However, to date, much of the research on RBV as a strategic advantage choice for growth has focused almost entirely on large incumbent firms [22][24]. Adding to this, the existing literature on RBV that does examine ICT as an innovation strategy for start-ups does not explore other important channels, such as organizational culture and ICT skills, through which returns from investment in new technology can be leveraged. Furthermore, there has been a lack of firm-level data that allow rigorous analysis of how ICT affects innovation in start-ups, particularly from a regional context. We, therefore, draw upon the RBV and start-ups literature to build the hypothesis of the research.

3. ICT, Innovation, and Firm Performance

Despite certain disagreements, firm-level studies generally provide compelling evidence of the strong positive effect of ICTs on performance [1][36][37][38]. The effect of ICTs on the improvement of external and internal communication plays a major role in the innovation performance of SMEs [39][40]. Furthermore, the use of broadband internet has been found to have a positive impact on innovation among SMEs [41][42]. Several studies have reported that ICT assists small businesses in increasing productivity, efficiency, and performance [37][43][44][45]. For example, Taştan and Gönel [46] observed a positive impact of ICT on firm-level productivity in Turkey using a novel longitudinal data set. Similarly, in a sample of Australian firms, Leviäkangas et al. [47] found a positive impact of ICTs on firm productivity.
In the context of the COVID-19 outbreak, much research has suggested that the adoption of digital technologies plays an important role in crisis responses, particularly among SMEs [48][49][50][51]. Guo [49] used a data set from a survey with 518 Chinese SMEs to examine the relationship between SMEs’ digitalization and their public crisis responses. The empirical results show that digitalization has enabled SMEs to respond effectively to the public crisis by making use of their dynamic capabilities. Elsewhere, Akpan et al. [50] shared that the absence and non-adoption of digital technologies in SMEs explain why business activities in most developing regions remained shut during the outbreak of SARS-CoV-2 and the community lockdown to contain the COVID-19 pandemic. The research suggests that strategies to survive the ’new normal’ imposed by COVID-19 and fierce global competition includes a successful adoption of advanced technologies.
The development of the business or strategic networks by start-up enterprises appears to facilitate activity toward important resources that are inclined to result in a strong commitment to organizational innovation, thereby increasing a firm’s performance [34][52]. Developing a strategic network, for instance, is equally valuable for small and large businesses [53]. Here, SMEs, especially nascent firms, may not always possess the resources they need to pursue innovation. Acquiring new knowledge that is offered through networking helps augment the knowledge gaps of existing SMEs through RBV, such that engaging in upstream and downstream networks may significantly lift a nascent firm’s performance [54]. That is, network connections enable new relational platforms for firms, thus harnessing innovation via learning and knowledge acquisitions [55][56][57][58].
Innovative capacity appears to be important to the success of family firms because it fosters entrepreneurial activities that can enhance profitability [58][59][60]. However, despite strong evidence of the positive link between innovation and firm performance, not all research is supportive of this conclusion [61][62]. This is because while some start-up firms quickly develop their product offerings, other nascent SMEs may need significant time developing their innovation and ICT skills, e.g., technology-driven intervention to create a new product, process, and business model [63][64]. Additionally, some nascent firms are business incubators and accelerators in protective intellectual property environments that depend on strategic networking and trust [65][66], given that different types of network participation, such as formal industry networks [67] and informal social interactions [68], take longer to develop [64] and to culminate in higher performance.
Moreover, the literature argues that SMEs are likely to boost their performance through improved internationalization because they have the advantage of economies of scale, competitiveness, improved resource utilization, better services, and a variety of government incentives [69][70]. There are also comparative advantage claims that SMEs with international exports are more likely to have improved performance than those without internationalization [71]. However, SMEs face a liability of foreignness when competing in international markets owing to information scarcity, lack of expertise, and managerial incompetence, thereby suffering from scale and resource disadvantages [72][73][74]. In addition, a number of studies have determined the positive contributions of an agile and flexible organizational culture on a firm’s performance [75][76][77]. This finding is consistent with previous studies that found firms obtain a competitive advantage through the implementation of innovative strategies to exploit opportunities. For instance, the more ambidextrous and nascent SMEs—firms that can simultaneously exploit existing knowledge while exploring new knowledge and ideas [78][79]—could be expected to foster increased innovation capabilities through the production, promotion, and implementation of new products and services. Recent studies have found that IT systems strongly influence ambidexterity performance when the right IT mechanisms are enabled [80] and that to fully leverage IT capability, SMEs need to invest in managerial and technical capabilities [81].
Recent Australian studies have claimed that inequalities exist in ICT activities in less technologically advanced communities compared with their metropolitan counterparts [82][83][84][85]. Taken together, these studies confirmed that demographic, political, and socioeconomic factors account for such a disparity. ICT inequality is evident between SMEs and large firms in rural Australia compared with those in major metropolitan cities [86][87]. ICT activity in metropolitan and other areas in Australia shows improvement, but compared to the situation elsewhere, inequalities in the access to ICTs in rural and remote areas continue to exist [88][89]. It is believed this is particularly alarming within a regional context and should be reversed through relevant policy settings by implementing industry and government initiatives, and by giving greater prominence to the role of ICT or technology-driven innovation. For instance, recent research shows that innovation outcomes, e.g., new exploration and SME performance, can be directly attributed to how SMEs acquire and use ICT applications, such as cloud services [90], while a positive influence has been found between SMEs’ strategic networks offline (in person) knowledge sharing among managers representing networked organizational actors and performance [58].

This entry is adapted from the peer-reviewed paper 10.3390/su14105801

References

  1. Chege, S.M.; Wang, D.; Suntu, S.L. Impact of information technology innovation on firm performance in Kenya. Inf. Technol. Dev. 2020, 26, 316–345.
  2. Langley, D.J.; van Doorn, J.; Ng, I.C.; Stieglitz, S.; Lazovik, A.; Boonstra, A. The Internet of Everything: Smart things and their impact on business models. J. Bus. Res. 2021, 122, 853–863.
  3. Cristofaro, M. E-business evolution: An analysis of mobile applications’ business models. Technol. Anal. Strateg. Manag. 2020, 32, 88–103.
  4. Haaker, T.; Ly, P.T.M.; Nguyen-Thanh, N.; Nguyen, H.T.H. Business model innovation through the application of the Internet-of-Things: A comparative analysis. J. Bus. Res. 2021, 126, 126–136.
  5. Akter, S.; Michael, K.; Uddin, M.R.; McCarthy, G.; Rahman, M. Transforming business using digital innovations: The application of AI, blockchain, cloud and data analytics. Ann. Oper. Res. 2020, 308, 7–39.
  6. Upadhyay, N. Demystifying blockchain: A critical analysis of challenges, applications and opportunities. Int. J. Inf. Manag. 2020, 54, 102120.
  7. Del Gaudio, B.L.; Porzio, C.; Sampagnaro, G.; Verdoliva, V. How do mobile, internet and ICT diffusion affect the banking industry? An empirical analysis. Eur. Manag. J. 2021, 39, 327–332.
  8. Zhang, H.; Gupta, S.; Sun, W.; Zou, Y. How social-media-enabled co-creation between customers and the firm drives business value? The perspective of organizational learning and social Capital. Inf. Manag. 2020, 57, 103200.
  9. Australian Bureau of Statistics. Counts of Australian Business 8165.0. 2019. Available online: https://www.asbfeo.gov.au/sites/default/files/Small_Business_Statistical_Report-Final.pdf (accessed on 26 February 2022).
  10. Ali Qalati, S.; Li, W.; Ahmed, N.; Ali Mirani, M.; Khan, A. Examining the factors affecting SME performance: The mediating role of social media adoption. Sustainability 2021, 13, 75.
  11. Marion, T.J.; Fixson, S.K. The Transformation of the Innovation Process: How Digital Tools are Changing Work, Collaboration, and Organizations in New Product Development. J. Prod. Innov. Manag. 2021, 38, 192–215.
  12. Pizzi, S.; Corbo, L.; Caputo, A. Fintech and SMEs sustainable business models: Reflections and considerations for a circular economy. J. Clean. Prod. 2021, 281, 125217.
  13. Kostis, A.; Ritala, P. Digital artifacts in industrial co-creation: How to use VR technology to bridge the provider-customer boundary. Calif. Manag. Rev. 2020, 62, 125–147.
  14. Ranta, V.; Aarikka-Stenroos, L.; Väisänen, J.M. Digital technologies catalyzing business model innovation for circular economy—Multiple case study. Resour. Conserv. Recycl. 2021, 164, 105155.
  15. Eaton, J.; Jinkins, D.; Tybout, J.R.; Xu, D. Two-Sided Search in International Markets; Working Paper 29684; National Bureau of Economic Research: Cambridge, MA, USA, 2022.
  16. Chege, S.M.; Wang, D. The influence of technology innovation on SME performance through environmental sustainability practices in Kenya. Technol. Soc. 2020, 60, 101210.
  17. LaBerge, L.; O’Toole, C.; Schneider, J.; Smaje, K. How COVID-19 Has Pushed Companies over the Technology Tipping Point and Transformed Business Forever. McKinsey & Company. 2020. Available online: https://www.mckinsey.com/business-functions/strategy-and-corporate-finance/our-insights/how-covid-19-has-pushed-companies-over-the-technology-tipping-point-and-transformed-business-forever (accessed on 16 March 2022).
  18. Alam, K.; Adeyinka, A.A.; Wiesner, R. Smaller businesses and e-innovation: A winning combination in Australia. J. Bus. Strategy 2019, 41, 39–48.
  19. Zhou, Q.; Gao, P.; Chimhowu, A. ICTs in the transformation of rural enterprises in China: A multi-layer perspective. Technol. Forecast. Soc. Change 2019, 145, 12–23.
  20. Barrett, R.; Kowalkiewicz, M.; Shahiduzzaman, M. High Growth and Technology: Case Studies of Queensland Firms in the Digital Economy; Department of Science, Information Technology and Innovation, Queensland Government: Brisbane, Australia, 2016.
  21. Western Downs Regional Council (WDRC). Economic Profile. 2019. Available online: https://economy.id.com.au/western-downs/gross-product (accessed on 8 July 2019).
  22. Alexy, O.; West, J.; Klapper, H.; Reitzig, M. Surrendering control to gain advantage: Reconciling openness and the resource-based view of the firm. Strateg. Manag. J. 2018, 39, 1704–1727.
  23. Davis, P.E.; Bendickson, J.S. Strategic antecedents of innovation: Variance between small and large firms. J. Small Bus. Manag. 2021, 59, 47–72.
  24. Donnellan, J.; Rutledge, W.L. A case for resource-based view and competitive advantage in banking. Manag. Decis. Econ. 2019, 40, 728–737.
  25. Gimenez-Fernandez, E.M.; Sandulli, F.D.; Bogers, M. Unpacking liabilities of newness and smallness in innovative start-ups: Investigating the differences in innovation performance between new and older small firms. Res. Policy 2020, 49, 104049.
  26. Kuckertz, A.; Brändle, L.; Gaudig, A.; Hinderer, S.; Reyes, C.A.M.; Prochotta, A.; Steinbrink, K.M.; Berger, E.S. Start-ups in times of crisis–A rapid response to the COVID-19 pandemic. J. Bus. Ventur. Insights 2020, 13, e00169.
  27. Salamzadeh, A.; Dana, L.P. The coronavirus (COVID-19) pandemic: Challenges among Iranian start-ups. J. Small Bus. Entrep. 2021, 33, 489–512.
  28. Sukaatmadja, I.; Yasa, N.; Rahyuda, H.; Setini, M.; Dharmanegara, I. Competitive advantage to enhance internationalization and marketing performance woodcraft industry: A perspective of resource-based view theory. J. Proj. Manag. 2021, 6, 45–56.
  29. Bustamante, C.V. Strategic choices: Accelerated start-ups’ outsourcing decisions. J. Bus. Res. 2019, 105, 359–369.
  30. Marullo, C.; Casprini, E.; Di Minin, A.; Piccaluga, A. ‘Ready for Take-off’: How Open Innovation influences start-up success. Creat. Innov. Manag. 2018, 27, 476–488.
  31. Pangarkar, N.; Wu, J. Alliance formation, partner diversity, and performance of Singapore start-ups. Asia Pac. J. Manag. 2013, 30, 791–807.
  32. Ye, Q. New-born start-ups performance: Influences of resources and entrepreneurial team experiences. Int. Bus. Res. 2018, 11, 1–15.
  33. Bianchi, C.; Mingo, S.; Fernandez, V. Strategic management in Latin America: Challenges in a changing world. J. Bus. Res. 2019, 105, 306–309.
  34. Caseiro, N.; Coelho, A. The influence of Business Intelligence capacity, network learning and innovativeness on start-ups performance. J. Innov. Knowl. 2019, 4, 139–145.
  35. Coleman, S.; Cotei, C.; Farhat, J. A resource-based view of new firm survival: New perspectives on the role of industry and exit route. J. Dev. Entrep. 2013, 18, 1350002.
  36. Chen, Y.-Y.K.; Jaw, Y.-L.; Wu, B.-L. Effect of digital transformation on organizational performance of SMEs: Evidence from the Taiwanese textile industry’s web portal. Internet Res. 2016, 26, 186–212.
  37. Gërguri-Rashiti, S.; Ramadani, V.; Abazi-Alili, H.; Dana, L.P.; Ratten, V. ICT, Innovation and Firm Performance: The Transition Economies Context. Thunderbird Int. Bus. Rev. 2017, 59, 93–102.
  38. Yunis, M.; El-Kassar, A.-N.; Tarhini, A. Impact of ICT-based innovations on organizational performance: The role of corporate entrepreneurship. J. Enterp. Inf. Manag. 2017, 30, 122–141.
  39. Cenamor, J.; Parida, V.; Wincent, J. How entrepreneurial SMEs compete through digital platforms: The roles of digital platform capability, network capability and ambidexterity. J. Bus. Res. 2019, 100, 196–206.
  40. Neirotti, P.; Raguseo, E.; Paolucci, E. How SMEs develop ICT-based capabilities in response to their environment: Past evidence and implications for the uptake of the new ICT paradigm. J. Enterp. Inf. Manag. 2018, 31, 10–37.
  41. Das, S.; Kundu, A.; Bhattacharya, A. Technology Adaptation and Survival of SMEs: A Longitudinal Study of Developing Countries. Technol. Innov. Manag. Rev. 2020, 10, 64–72.
  42. Price, L.; Shutt, J.; Sellick, J. Supporting rural Small and Medium-sized Enterprises to take up broadband-enabled technology: What works? Local Econ. 2018, 33, 515–536.
  43. Arvanitis, S.; Loukis, E.N. Investigating the effects of ICT on innovation and performance of European hospitals: An exploratory study. Eur. J. Health Econ. 2016, 17, 403–418.
  44. Skare, M.; Soriano, D.R. How globalization is changing digital technology adoption: An international perspective. J. Innov. Knowl. 2021, 6, 222–233.
  45. Cuevas-Vargas, H.; Estrada, S.; Larios-Gómez, E. The effects of ICTs as innovation facilitators for a greater business performance. Evidence from Mexico. Procedia Comput. Sci. 2016, 91, 47–56.
  46. Taştan, H.; Gönel, F. ICT labor, software usage, and productivity: Firm-level evidence from Turkey. J. Product. Anal. 2020, 53, 265–285.
  47. Leviäkangas, P.; Paik, S.M.; Moon, S. Keeping up with the pace of digitization: The case of the Australian construction industry. Technol. Soc. 2017, 50, 33–43.
  48. Indriastuti, M.; Fuad, K. Impact of COVID-19 on digital transformation and sustainability in small and medium enterprises (SMEs): A conceptual framework. In Conference on Complex, Intelligent, and Software Intensive Systems; Springer: Hoboken, NJ, USA, 2020.
  49. Guo, H.; Yang, Z.; Huang, R.; Guo, A. The digitalization and public crisis responses of small and medium enterprises: Implications from a COVID-19 survey. Front. Bus. Res. China 2020, 14, 19.
  50. Akpan, I.J.; Udoh, E.A.P.; Adebisi, B. Small business awareness and adoption of state-of-the-art technologies in emerging and developing markets, and lessons from the COVID-19 pandemic. J. Small Bus. Entrep. 2022, 34, 123–140.
  51. Kyriakopoulos, G.; Solovev, D. Circular Economy (CE) Innovation and Internationalization of Small and Medium Enterprises (SMEs): Geographical Overview and Sectorial Patterns. In Proceeding of the International Science and Technology Conference “FarEastCon 2021”; Springer: Hoboken, NJ, USA, 2022.
  52. Balboni, B.; Bortoluzzi, G.; Pugliese, R.; Tracogna, A. Business model evolution, contextual ambidexterity and the growth performance of high-tech start-ups. J. Bus. Res. 2019, 99, 115–124.
  53. Jarillo, J.C. On Strategic Networks. Strateg. Manag. J. 1988, 9, 31–41.
  54. Thorgren, S.; Wincent, J.; Ortqvist, D. Designing interorganizational networks for innovation:an empirical examination of network configuration, formation and governance. J. Eng. Technol. Manag. 2009, 26, 148–166.
  55. de Man, A.P.; Duysters, G. Collaboration and innovation: A review of the effects of mergers, acquisitions and alliances on innovation. Technovation 2005, 25, 1377–1387.
  56. Rojas, M.G.A.; Solis, E.R.R.; Zhu, J.J. Innovation and network multiplexity: R&D and the concurrent effects of two collaboration networks in an emerging economy. Res. Policy 2018, 47, 1111–1124.
  57. Martín-Rojas, R.; García-Morales, V.J.; Garrido-Moreno, A.; Salmador-Sánchez, M.P. Social media use and the challenge of complexity: Evidence from the technology sector. J. Bus. Res. 2021, 129, 621–640.
  58. Vătamănescu, E.-M.; Cegarra-Navarro, J.-G.; Andrei, A.G.; Dincă, V.-M.; Alexandru, V.-A. SMEs strategic networks and innovative performance: A relational design and methodology for knowledge sharing. J. Knowl. Manag. 2020, 24, 1367–3270.
  59. Calabrò, A.; Vecchiarini, M.; Gast, J.; Campopiano, G.; De Massis, A.; Kraus, S. Innovation in family firms: A systematic literature review and guidance for future research. Int. J. Manag. Rev. 2019, 21, 317–355.
  60. Feranita, F.; Kotlar, J.; De Massis, A. Collaborative innovation in family firms: Past research, current debates and agenda for future research. J. Fam. Bus. Strategy 2017, 8, 137–156.
  61. Alarussi, A.S.; Alhaderi, S.M. Factors affecting profitability in Malaysia. J. Econ. Stud. 2018, 45, 442–458.
  62. Alshehhi, A.; Nobanee, H.; Khare, N. The impact of sustainability practices on corporate financial performance: Literature trends and future research potential. Sustainability 2018, 10, 494.
  63. Habtay, S.R. A firm-level analysis on the relative difference between technology-driven and market-driven disruptive business model innovations. Creat. Innov. Manag. 2012, 21, 290–303.
  64. Haneberg, D.H. How combinations of network participation, firm age and firm size explain SMEs’ responses to COVID-19. Small Enterp. Res. 2021, 28, 229–246.
  65. Amezcua, A.S.; Grimes, M.G.; Bradley, S.W.; Wiklund, J. Organizational sponsorship and founding environments: A contingency view on the survival of business-incubated firms, 1994–2007. Acad. Manag. J. 2013, 56, 1628–1654.
  66. Mian, S.; Lamine, W.; Fayolle, A. Technology business incubation: An overview of the state of knowledge. Technovation 2016, 50–51, 1–12.
  67. Eiriz, V.; Gonçalves, M.; Areias, J.S. Inter-organizational learning within an institutional knowledge network: A case study in the textile and clothing industry. Eur. J. Innov. Manag. 2017, 20, 230–249.
  68. Giones, F.; Brem, A.; Pollack, J.M.; Michaelis, T.L.; Klyver, K.; Brinckmann, J. Revising entrepreneurial action in response to exogenous shocks: Considering the COVID-19 pandemic. J. Bus. Ventur. Insights 2020, 14, e00186.
  69. Henley, A.; Song, M. Innovation, internationalization and the performance of microbusinesses. Int. Small Bus. J. 2020, 38, 337–364.
  70. Morais, F.; Ferreira, J.J. SME internationalization process: Key issues and contributions, existing gaps and the future research agenda. Eur. Manag. J. 2020, 38, 62–77.
  71. Falahat, M.; Ramayah, T.; Soto-Acosta, P.; Lee, Y.Y. SMEs internationalization: The role of product innovation, market intelligence, pricing and marketing communication capabilities as drivers of SMEs’ international performance. Technol. Forecast. Soc. Chang. 2020, 152, 119908.
  72. Li, J.; Liu, B.; Qian, G. The belt and road initiative, cultural friction and ethnicity: Their effects on the export performance of SMEs in China. J. World Bus. 2019, 54, 350–359.
  73. Liñán, F.; Paul, J.; Fayolle, A. SMEs and entrepreneurship in the era of globalization: Advances and theoretical approaches. Small Bus. Econ. 2020, 55, 695–703.
  74. Wu, B.; Deng, P. Internationalization of SMEs from emerging markets: An institutional escape perspective. J. Bus. Res. 2020, 108, 337–350.
  75. Jogaratnam, G. How organizational culture influences market orientation and business performance in the restaurant industry. J. Hosp. Tour. Manag. 2017, 31, 211–219.
  76. Roscoe, S.; Subramanian, N.; Jabbour, C.J.; Chong, T. Green human resource management and the enablers of green organizational culture: Enhancing a firm’s environmental performance for sustainable development. Bus. Strategy Environ. 2019, 28, 737–749.
  77. Shahzad, F.; Xiu, G.; Shahbaz, M. Organizational culture and innovation performance in Pakistan’s software industry. Technol. Soc. 2017, 51, 66–73.
  78. Greco, L.M.; Charlier, S.D.; Brown, K.G. Trading off learning and performance: Exploration and exploitation at work. Hum. Resour. Manag. Rev. 2019, 29, 179–195.
  79. Heras, H.A.; Estensoro, M.; Larrea, M. Organizational ambidexterity in policy networks. Compet. Rev. Int. Bus. J. 2020, 30, 219–242.
  80. Ardito, L.; Besson, E.; Petruzzelli, A.M.; Gregori, G.L. The influence of production, IT, and logistics process innovations on ambidexterity performance. Bus. Process Manag. J. 2018, 24, 1271–1284.
  81. Rialti, R.; Marzi, G.; Silic, M.; Ciappei, C. Ambidextrous organization and agility in big data era. Bus. Process Manag. J. 2018, 24, 1091–1109.
  82. Alam, K.; Imran, S. The digital divide and social inclusion among refugee migrants: A case in regional Australia. Inf. Technol. People 2015, 28, 344–365.
  83. Erdiaw-Kwasie, M.O.; Alam, K. Towards understanding digital divide in rural partnerships and development: A framework and evidence from rural Australia. J. Rural Stud. 2016, 43, 214–224.
  84. O’Sullivan, S.; Walker, C. From the interpersonal to the internet: Social service digitisation and the implications for vulnerable individuals and communities. Aust. J. Political Sci. 2018, 53, 490–507.
  85. Park, S. Digital inequalities in rural Australia: A double jeopardy of remoteness and social exclusion. J. Rural Stud. 2017, 54, 399–407.
  86. Alam, K.; Adeyinka, A.A. Does innovation stimulate performance? The case of small and medium enterprises in regional Australia. Aust. Econ. Pap. 2021, 60, 496–519.
  87. Alam, K.; Ali, M.A.; Erdiaw-Kwasie, M.O.; Murray, P.A.; Wiesner, R. Digital transformation among SMEs: Does gender matter? Sustainability 2022, 14, 535.
  88. Ewing, S. Australia’s Digital Divide is Narrowing, but Getting Deeper. 2016. Available online: http://theconversation.com/australias-digital-divide-is-narrowing-but-getting-deeper-55232 (accessed on 18 May 2019).
  89. Philip, L.; Williams, F. Remote rural home-based businesses and digital inequalities: Understanding needs and expectations in a digitally underserved community. J. Rural Stud. 2019, 68, 306–318.
  90. Assante, D.; Castro, M.; Hamburg, I.; Martin, S. The use of cloud computing in SMEs. Procedia Comput. Sci. 2016, 83, 1207–1212.
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