The Economic Value of Digital Technologies: Estimating the Relationship between Online Meeting Services and Travel Cost

Bu Li , Huitian Bai , Zhijie Lin , Xiaojie Mao , Xiaohui Yuan , Qiong Liu

Journal of Systems Science and Systems Engineering ›› : 1 -24.

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Journal of Systems Science and Systems Engineering ›› :1 -24. DOI: 10.1007/s11518-026-5755-3
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The Economic Value of Digital Technologies: Estimating the Relationship between Online Meeting Services and Travel Cost
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Abstract

This study investigates the economic impact of online meeting services on reducing business travel costs. By leveraging proprietary data from platform T alongside survey results, the analysis quantifies the relationship between the frequency of online meeting sessions and reductions in travel expenditures. A theoretical framework rooted in the SaaS (Software as a Service) model underscores the study, emphasizing the unique characteristics of digital products such as decreasing marginal costs and economies of scale. Econometric analyses reveal both linear and nonlinear correlations, with findings highlighting the platform’s significant contributions to travel cost reductions and efficiency improvements across various sectors and scenarios. The research provides actionable insights into the value of digital products, aiding enterprises in optimizing their digital transformation strategies.

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Digital economy / SaaS model / online meeting / travel cost reduction / efficiency improvement

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Bu Li, Huitian Bai, Zhijie Lin, Xiaojie Mao, Xiaohui Yuan, Qiong Liu. The Economic Value of Digital Technologies: Estimating the Relationship between Online Meeting Services and Travel Cost. Journal of Systems Science and Systems Engineering 1-24 DOI:10.1007/s11518-026-5755-3

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References

[1]

Acemoglu D, Restrepo P. Artificial intelligence, automation, and work. The Economics of Artificial Intelligence: An Agenda, 2018, USA, University of Chicago Press

[2]

Angrist J D, Pischke J S. Mostly Harmless Econometrics: An Empiricist’s Companion, 2009, USA, Princeton University Press

[3]

Autor D H, Levy F, Murnane R J. The skill content of recent technological change: An empirical exploration. The Quarterly Journal of Economics, 2003, 118(4): 1279-1333

[4]

Bharadwaj A, El Sawy O A, Pavlou P A, Venkatraman N. Digital business strategy: Toward a next generation of insights. MIS Quarterly, 2013, 37(2): 471-482

[5]

Bloom N, Garicano L, Sadun R, Van Reenen J. The distinct effects of information technology and communication technology on firm organization. Management Science, 2014, 60(12): 2859-2885

[6]

Bloom N, Liang J, Roberts J, Ying Z J. Does working from home work? Evidence from a Chinese experiment. The Quarterly Journal of Economics, 2015, 130(1): 165-218

[7]

Bresciani S, Huarng K H, Malhotra A, Ferraris A. Digital transformation as a springboard for product, process and business model innovation. Journal of Business Research, 2021, 128: 204-210

[8]

Brynjolfsson E, Hitt L M. Beyond the productivity paradox. Communications of the ACM, 1998, 41(8): 49-55

[9]

Brynjolfsson E, Rock D, Syverson C. The productivity J-curve: How intangibles complement general purpose technologies. American Economic Journal: Macroeconomics, 2021, 13(1): 333-372

[10]

Chesbrough H. Business model innovation: It’s not just about technology anymore. Strategy & Leadership, 2007, 35(6): 12-17

[11]

Choudhury P, Foroughi C, Larson B. Work-from-anywhere: The productivity effects of geographic flexibility. Strategic Management Journal, 2021, 42(4): 655-683

[12]

Cusumano M. Cloud computing and SaaS as new computing platforms. Communications of the ACM, 2010, 53(4): 27-29

[13]

De Chaisemartin C, d’Haultfoeuille X. Two-way fixed effects estimators with heterogeneous treatment effects. American Economic Review, 2020, 110(9): 2964-2996

[14]

Dedrick J, Gurbaxani V, Kraemer K L. Information technology and economic performance: A critical review of the empirical evidence. ACM Computing Surveys, 2003, 35(1): 1-28

[15]

Economides N. The economics of networks. International Journal of Industrial Organization, 1996, 14(6): 673-699

[16]

Forman C, Goldfarb A, Greenstein S. The Internet and local wages: A puzzle. American Economic Review, 2012, 102(1): 556-575

[17]

Gratton L, Erickson T J. Eight ways to build collaborative teams. Harvard Business Review, 2007, 85(11): 100

[18]

Hook A, Court V, Sovacool B K, Sorrell S. A systematic review of the energy and climate impacts of tele-working. Environmental Research Letters, 2020, 15(9): 093003

[19]

Jiao S, Sun Q. Digital economic development and its impact on economic growth in China: Research based on the perspective of sustainability. Sustainability, 2021, 13(18): 10245

[20]

Kane G C, Palmer D, Phillips A N (2017). Achieving digital maturity. MIT Sloan Management Review. https://sloanreview.mit.edu/projects/achieving-digital-maturity/.

[21]

Katz M L, Shapiro C. Systems competition and network effects. Journal of Economic Perspectives, 1994, 8(2): 93-115

[22]

Kim Y, Lee B. Patterns of technological learning among the strategic groups in the Korean electronic parts industry. Research Policy, 2002, 31(4): 543-567

[23]

Kohli R, Grover V. Business value of IT: An essay on expanding research directions to keep up with the times. Journal of the Association for Information Systems, 2008, 9(1): 1

[24]

Lorentzen A C R. Digital transformation as distributed leadership: Firing the change agent. Procedia Computer Science, 2022, 196: 245-254

[25]

Majchrzak A, Malhotra A. Towards an information systems perspective and research agenda on crowd-sourcing for innovation. The Journal of Strategic Information Systems, 2013, 22(4): 257-268

[26]

Malone T W, Crowston K. The interdisciplinary study of coordination. ACM Computing Surveys, 1994, 26(1): 87-119

[27]

Marien M. The second machine age: Work, progress, and prosperity in a time of brilliant technologies. Cadmus, 2014, 2(2): 174

[28]

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. Journal of Product Innovation Management, 2021, 38(1): 192-215

[29]

Mokhtarian P L. Telecommunications and travel: The case for complementarity. Journal of Industrial Ecology, 2002, 6(2): 43-57

[30]

Overby E, Bharadwaj A, Sambamurthy V. Enterprise agility and the enabling role of information technology. European Journal of Information Systems, 2006, 15(2): 120-131

[31]

Porter M E, Heppelmann J E. How smart, connected products are transforming competition. Harvard Business Review, 2014, 92(11): 64-88

[32]

Porter M E, Heppelmann J E. How smart, connected products are transforming companies. Harvard Business Review, 2015, 93(10): 96-114

[33]

Ranta V, Aarikka-Stenroos L, Väisänen J M. Digital technologies catalyzing business model innovation for circular economy: Multiple case study. Resources, Conservation and Recycling, 2021, 164: 105155

[34]

Robinson W S. Ecological correlations and the behavior of individuals. American Sociological Review, 1950, 15(3): 351-357

[35]

Sambamurthy V, Bharadwaj A, Grover V. Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms. MIS Quarterly, 2003, 27(2): 237-263

[36]

Shaw M J, Mahoney J T. Information rules: A strategic guide to the network economy. Academy of Management Review, 2000, 25(2): 441-443

[37]

Williamson O E. The Economic Institutions of Capitalism, 1985, USA, Free Press

[38]

Yoo Y, Henfridsson O, Lyytinen K. Research commentary: The new organizing logic of digital innovation: An agenda for information systems research. Information Systems Research, 2010, 21(4): 724-735

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