Indirect Value of Public Infrastructure Technology

References

• Addo A, Avgerou C (2021) Information technology and government corruption in developing countries: Evidence from Ghana customs. MIS Quart. 45(4):1833–1862.Crossref, Google Scholar
• Agarwal S, Qian W, Seru A, Zhang J (2020) Disguised corruption: Evidence from consumer credit in China. J. Financial Econom. 137(2):430–450.Crossref, Google Scholar
• Allcott H, Braghieri L, Eichmeyer S, Gentzkow M (2020) The welfare effects of social media. Amer. Econom. Rev. 110(3):629–676.Crossref, Google Scholar
• Babar Y, Burtch G (2020) Examining the heterogeneous impact of ride-hailing services on public transit use. Inform. Systems Res. 31(3):820–834.Link, Google Scholar
• Bharadwaj S, Bharadwaj A, Bendoly E (2007) The performance effects of complementarities between information systems, marketing, manufacturing, and supply chain processes. Inform. Systems Res. 18(4):437–453.Link, Google Scholar
• Brandt L, Van Biesebroeck J, Zhang Y (2012) Creative accounting or creative destruction? Firm-level productivity growth in Chinese manufacturing. J. Development. Econom. 97(2):339–351.Crossref, Google Scholar
• Brynjolfsson E (1996) The contribution of information technology to consumer welfare. Inform. Systems Res. 7(3):281–300.Link, Google Scholar
• Brynjolfsson E, Hitt L (1996) Paradox lost? Firm-level evidence on the returns to information systems spending. Management Sci. 42(4):541–558.Link, Google Scholar
• Brynjolfsson E, Collis A, Eggers F (2019) Using massive online choice experiments to measure changes in well-being. Proc. Natl. Acad. Sci. USA 116(15):7250–7255.Crossref, Google Scholar
• Brynjolfsson E, Wang C, Zhang X (2021) The economics of IT and digitization: Eight questions for research. MIS Quart. 45(1):473–477.Google Scholar
• Burtch G, Carnahan S, Greenwood BN (2018) Can you gig it? An empirical examination of the gig economy and entrepreneurial activity. Management Sci. 64(12):5497–5520.Link, Google Scholar
• Cai H, Fang H, Xu LC (2011) Eat, drink, firms, government: An investigation of corruption from the entertainment and travel costs of Chinese firms. J. Law Econom. 54(1):55–78.Crossref, Google Scholar
• Calonico S, Cattaneo MD, Farrell MH (2018) On the effect of bias estimation on coverage accuracy in nonparametric inference. J. Amer. Statist. Assoc. 113(522):767–779.Crossref, Google Scholar
• Calonico S, Cattaneo MD, Titiunik R (2014) Robust nonparametric confidence intervals for regression‐discontinuity designs. Econometrica 82(6):2295–2326.Crossref, Google Scholar
• Campante F, Yanagizawa-Drott D (2018) Long-range growth: Economic development in the global network of air links. Quart. J. Econom. 133(3):1395–1458.Crossref, Google Scholar
• Cao C, Li X, Xia C (2021) The complicit role of local government authorities in corporate bribery: Evidence from a tax collection reform in China. China Econom. Rev. 65:101578.Crossref, Google Scholar
• Cattaneo MD, Jansson M, Ma X (2020) Simple local polynomial density estimators. J. Amer. Statist. Assoc. 115(531):1449–1455.Crossref, Google Scholar
• Chakravarty A, Grewal R, Sambamurthy V (2013) Information technology competencies, organizational agility, and firm performance: Enabling and facilitating roles. Inform. Systems Res. 24(4):976–997.Link, Google Scholar
• Chan J, Ghose A, Seamans R (2016) The Internet and racial hate crime. MIS Quart. 40(2):381–404.Crossref, Google Scholar
• Chan J, Mojumder P, Ghose A (2019) The digital Sin City: An empirical study of Craigslist’s impact on prostitution trends. Inform. Systems Res. 30(1):219–238.Link, Google Scholar
• Cheng Z, Pang M-S, Pavlou PA (2020) Mitigating traffic congestion: The role of intelligent transportation systems. Inform. Systems Res. 31(3):653–674.Link, Google Scholar
• Cheung Y-L, Rau PR, Stouraitis A (2021) What determines the return to bribery? Evidence from corruption cases worldwide. Management Sci. 67(10):6235–6265.Link, Google Scholar
• Cull R, Li W, Sun B, Xu LC (2015) Government connections and financial constraints: Evidence from a large representative sample of Chinese firms. J. Corporate Finance 32:271–294.Crossref, Google Scholar
• Davis J (2004) Corruption in public service delivery: Experience from South Asia’s water and sanitation sector. World Development 32(1):53–71.Crossref, Google Scholar
• Dellarocas C, Zhang X, Awad N (2007) Exploring the value of online product reviews in forecasting sales: The case of motion pictures. J. Interactive Marketing 21(4):2–20.Crossref, Google Scholar
• Dewan S, Kraemer KL (2000) Information technology and productivity: Evidence from country-level data. Management Sci. 46(4):548–562.Link, Google Scholar
• Dong S, Xu SX, Zhu KX (2009) Research note—Information technology in supply chains: The value of it-enabled resources under competition. Inform. Systems Res. 20(1):18–32.Link, Google Scholar
• Ehrlich Mv, Seidel T (2018) The persistent effects of place-based policy: Evidence from the West-German Zonenrandgebiet. Amer. Econom. J. Econom. Policy 10(4):344–374.Crossref, Google Scholar
• Faccio M (2006) Politically connected firms. Amer. Econom. Rev. 96(1):369–386.Crossref, Google Scholar
• Fan JP, Wong TJ, Zhang T (2007) Politically connected CEOs, corporate governance, and Post-IPO performance of China’s newly partially privatized firms. J. Financial Econom. 84(2):330–357.Crossref, Google Scholar
• Feng J, Li X, Zhang X (2019) Online product reviews-triggered dynamic pricing: Theory and evidence. Inform. Systems Res. 30(4):1107–1123.Link, Google Scholar
• Feng Y, Lu X, Zhang X (2024) Mutual disclosures and content intimacy in user engagement: Evidence from an online chat group. MIS Quart., ePub ahead of print September 23, https://doi.org/10.25300/MISQ/2023/17481.Google Scholar
• Fisman R, Wang Y (2015) The mortality cost of political connections. Rev. Econom. Stud. 82(4):1346–1382.Crossref, Google Scholar
• Ganju KK, Atasoy H, Pavlou PA (2022) Do electronic health record systems increase Medicare reimbursements? The moderating effect of the recovery audit program. Management Sci. 68(4):2889–2913.Link, Google Scholar
• Gao G, Hitt LM (2012) Information technology and trademarks: Implications for product variety. Management Sci. 58(6):1211–1226.Link, Google Scholar
• Ge J, Carney M, Kellermanns F (2019) Who fills institutional voids? Entrepreneurs’ utilization of political and family ties in emerging markets. Entrepreneurial Theory Practice 43(6):1124–1147.Crossref, Google Scholar
• Gelman A, Imbens G (2019) Why high-order polynomials should not be used in regression discontinuity designs. J. Bus. Econom. Statist. 37(3):447–456.Crossref, Google Scholar
• Gómez J, Salazar I, Vargas P (2017) Does information technology improve open innovation performance? An examination of manufacturers in Spain. Inform. Systems Res. 28(3):661–675.Link, Google Scholar
• Greenwood BN, Agarwal R (2016) Matching platforms and HIV incidence: An empirical investigation of race, gender, and socioeconomic status. Management Sci. 62(8):2281–2303.Link, Google Scholar
• Greenwood BN, Wattal S (2017) Show me the way to go home. MIS Quart. 41(1):163–188.Crossref, Google Scholar
• Grembi V, Nannicini T, Troiano U (2016) Do fiscal rules matter? Amer. Econom. J. Appl. Econom. 8(3):1–30.Crossref, Google Scholar
• Griffin JM, Liu C, Shu T (2022) Is the Chinese anticorruption campaign authentic? Evidence from corporate investigations. Management Sci. 68(10):7248–7273.Link, Google Scholar
• Grover V, Kohli R (2012) Cocreating IT value: New capabilities and metrics for multifirm environments. MIS Quart. 36(1):225–232.Crossref, Google Scholar
• Guo F, Li Y, Maruping LM, Masli A (2022) Complementarity between investment in information technology (IT) and IT human resources: Implications for different types of firm innovation. Inform. Systems Res. 34(3):1259–1275.Google Scholar
• Hahn J, Todd P, Van der Klaauw W (2001) Identification and estimation of treatment effects with a regression-discontinuity design. Econometrica 69(1):201–209.Crossref, Google Scholar
• Havakhor T, Sabherwal R, Steelman ZR, Sabherwal S (2019) Relationships between information technology and other investments: A contingent interaction model. Inform. Systems Res. 30(1):291–305.Link, Google Scholar
• He G, Wang S, Zhang B (2020) Watering down environmental regulation in China. Quart. J. Econom. 135(4):2135–2185.Crossref, Google Scholar
• Hitt LM, Brynjolfsson E (1996) Productivity, business profitability, and consumer surplus: Three different measures of information technology value. MIS Quart. 20(2):121–142.Crossref, Google Scholar
• Huang J, Li K (2013) Eat-drink, corruption and firm’s purchase order. Econom. Res. J. 48(6):71–84.Google Scholar
• Huang Z, Li L, Ma G, Xu LC (2017) Hayek, local information, and commanding heights: Decentralizing state-owned enterprises in China. Amer. Econom. Rev. 107(8):2455–2478.Crossref, Google Scholar
• Imbens GW, Lemieux T (2008) Regression discontinuity designs: A guide to practice. J. Econometrics 142(2):615–635.Crossref, Google Scholar
• Imbens G, Wager S (2019) Optimized regression discontinuity designs. Rev. Econom. Statist. 101(2):264–278.Crossref, Google Scholar
• Ito K, Zhang S (2020) Willingness to pay for clean air: Evidence from air purifier markets in China. J. Political Econom. 128(5):1627–1672.Crossref, Google Scholar
• Jia N (2014) Are collective political actions and private political actions substitutes or complements? Empirical evidence from China’s private sector. Strategic Management J. 35(2):292–315.Crossref, Google Scholar
• Jia R, Nie H (2017) Decentralization, collusion, and coal mine deaths. Rev. Econom. Statist. 99(1):105–118.Crossref, Google Scholar
• Jia N, Rai A, Xu SX (2020) Reducing capital market anomaly: The role of information technology using an information uncertainty lens. Management Sci. 66(2):979–1001.Link, Google Scholar
• Kim J-B, Lee E, Tang X, Zhang J (2023) Collusive vs. coercive corporate corruption: Evidence from demand-side shocks and supply-side disclosures. Rev. Accounting Stud. 28(4):1929–1970.Crossref, Google Scholar
• Kohli R, Devaraj S (2003) Measuring information technology payoff: A meta-analysis of structural variables in firm-level empirical research. Inform. Systems Res. 14(2):127–145.Link, Google Scholar
• Kong D, Wang L, Wang M (2017) Effects of anti-corruption on firm performance: Evidence from a quasi-natural experiment in China. Finance Res. Lett. 23:190–195.Crossref, Google Scholar
• Kou C-w, Tsai W-H (2014) “Sprinting with small steps” toward promotion: Solutions for the age dilemma in the CCP cadre appointment system. China J. 71:153–171.Crossref, Google Scholar
• Kummer M, Slivkó O, Zhang X (2020) Unemployment and digital public goods contribution. Inform. Systems Res. 31(3):801–819.Link, Google Scholar
• Lee DS, Lemieux T (2010) Regression discontinuity designs in economics. J. Econom. Literature 48(2):281–355.Crossref, Google Scholar
• Li H, Zhou L-A (2005) Political turnover and economic performance: The incentive role of personnel control in China. J. Public Econom. 89(9–10):1743–1762.Crossref, Google Scholar
• Li H, Kim Y, Srinivasan K (2022) Market shifts in the sharing economy: The impact of Airbnb on housing rentals. Management Sci. 68(11):8015–8044.Link, Google Scholar
• Li H, Meng L, Wang Q, Zhou L-A (2008) Political connections, financing and firm performance: Evidence from Chinese private firms. J. Developmental Econom. 87(2):283–299.Crossref, Google Scholar
• Li X, Shi Y, Hu M, Zhang X (2023) Numerological heuristics and credit risk in P2P lending. Inform. Systems Res. 34(4):1744–1760.Link, Google Scholar
• Lin C, Morck R, Yeung B, Zhao X (2016) Anti-corruption reforms and shareholder valuations: Event study evidence from China. NBER Working Paper No. 22001, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Liu B, Pavlou PA, Cheng X (2022) Achieving a balance between privacy protection and data collection: A field experimental examination of a theory-driven information technology solution. Inform. Systems Res. 33(1):203–223.Link, Google Scholar
• Liu J, Pei S, Zhang MX (2023) Online food delivery platforms and female labor force participation. Inform. Systems Res., ePub ahead of print August 29, https://doi.org/10.1287/isre.2021.0182.Google Scholar
• Melville N, Kraemer K, Gurbaxani V (2004) Review: Information technology and organizational performance: An integrative model of IT business value. MIS Quart. 28(2):283–322.Google Scholar
• Mishra AN, Tao Y, Keil M, Oh J-h (2022) Functional IT complementarity and hospital performance in the United States: A longitudinal investigation. Inform. Systems Res. 33(1):55–75.Link, Google Scholar
• Mithas S, Krishnan MS, Fornell C (2016) Research note—Information technology, customer satisfaction, and profit: Theory and evidence. Inform. Systems Res. 27(1):166–181.Link, Google Scholar
• Mittal N, Nault BR (2009) Research note—Investments in information technology: Indirect effects and information technology intensity. Inform. Systems Res. 20(1):140–154.Link, Google Scholar
• Mukhopadhyay T, Kekre S, Kalathur S (1995) Business value of information technology: A study of electronic data interchange. MIS Quart. 19(2):137–156.Crossref, Google Scholar
• Nevo S, Wade MR (2010) The formation and value of IT-enabled resources: Antecedents and consequences of synergistic relationships. MIS Quart. 34(1):163–183.Crossref, Google Scholar
• Oh W, Pinsonneault A (2007) On the assessment of the strategic value of information technologies: Conceptual and analytical approaches. MIS Quart. 31(2):239–265.Crossref, Google Scholar
• Osburg J (2018) Making business personal: Corruption, anti-corruption, and elite networks in post-Mao China. Curr. Anthropology 59(S18):S149–S159.Crossref, Google Scholar
• Ozer GT, Greenwood BN, Gopal A (2023) Digital multisided platforms and women’s health: An empirical analysis of peer-to-peer lending and abortion rates. Inform. Systems Res. 34(1):223–252.Link, Google Scholar
• Park J, Pang M-S, Kim J, Lee B (2021) The deterrent effect of ride-sharing on sexual assault and investigation of situational contingencies. Inform. Systems Res. 32(2):497–516.Link, Google Scholar
• Pei M (2007) Corruption threatens China’s future. Policy Brief 55:1–8.Google Scholar
• Rai A, Patnayakuni R, Seth N (2006) Firm performance impacts of digitally enabled supply chain integration capabilities. MIS Quart. 30(2):225–246.Crossref, Google Scholar
• Ravichandran T, Giura SI (2019) Knowledge transfers in alliances: Exploring the facilitating role of information technology. Inform. Systems Res. 30(3):726–744.Link, Google Scholar
• Ravichandran T, Han S, Mithas S (2017) Mitigating diminishing returns to R&D: The role of information technology in innovation. Inform. Systems Res. 28(4):812–827.Link, Google Scholar
• Rhee KS, Zheng J, Wang Y, Tan Y (2022) Value of information sharing via ride-hailing apps: An empirical analysis. Inform. Systems Res. 34(3):1228–1244.Google Scholar
• Rudai Y (2015) Study on the total factor productivity of Chinese manufacturing enterprises. Econom. Res. J. 2:61–74.Google Scholar
• Sarker S, Henningsson S, Jensen T, Hedman J (2021) The use of blockchain as a resource for combating corruption in global shipping: An interpretive case study. J. Management Inform. Systems 38(2):338–373.Crossref, Google Scholar
• Seligson MA (2002) The impact of corruption on regime legitimacy: A comparative study of four Latin American countries. J. Politics 64(2):408–433.Crossref, Google Scholar
• Shen H, Dang I, Zhang X (2024) Mr. Right or Mr. Best: The role of information under preference mismatch in online dating. Inform. Systems Res., ePub ahead of print March 13, https://doi.org/10.1287/isre.2022.0233.Google Scholar
• Sheryazdanova G, Butterfield J (2017) E-government as an anti-corruption strategy in Kazakhstan. J. Inform. Tech. Politics 14(1):83–94.Crossref, Google Scholar
• Srivastava SC, Teo TS, Devaraj S (2016) You can’t bribe a computer: Dealing with the societal challenge of corruption through ICT. MIS Quart. 40(2):511–526.Crossref, Google Scholar
• Tafti A, Mithas S, Krishnan MS (2013) The effect of information technology: Enabled flexibility on formation and market value of alliances. Management Sci. 59(1):207–225.Link, Google Scholar
• Trantopoulos K, von Krogh G, Wallin MW, Woerter M (2017) External knowledge and information technology. MIS Quart. 41(1):287–300.Crossref, Google Scholar
• Wang H, Overby EM (2022) How does online lending influence bankruptcy filings? Management Sci. 68(5):3309–3329.Link, Google Scholar
• Wei C, Hu S, Chen F (2020) Do political connection disruptions increase labor costs in a government-dominated market? Evidence from publicly listed companies in China. J. Corporate Finance 62:101554.Crossref, Google Scholar
• World Bank (1997) Helping Countries Combat Corruption: The Role of the World Bank (World Bank, Washington, DC).Google Scholar
• Xu X, Zhang X (2013) Impact of Wikipedia on market information environment: Evidence on management disclosure and investor reaction. MIS Quart. 37(4):1043–1068.Crossref, Google Scholar
• Xu D, Zhang X, Hong H, Ye Q (2024) Why is the grass always greener on the other side? Tourist bias in online restaurant ratings. Inform. Systems Res. Forthcoming.Google Scholar
• Yao Y, Dresner M, Zhu KX (2019) “Monday effect” on performance variations in supply chain fulfillment: How information technology–enabled procurement may help. Inform. Systems Res. 30(4):1402–1423.Link, Google Scholar
• You J, Nie H (2017) Who determines Chinese firms’ engagement in corruption: Themselves or neighbors? China Econom. Rev. 43:29–46.Crossref, Google Scholar
• Zhao H, Lu J (2016) Contingent value of political capital in bank loan acquisition: Evidence from founder-controlled private enterprises in China. J. Bus. Venturing 31(2):153–174.Crossref, Google Scholar
• Zhou J, Zhang Q, Zhou S, Li X, Zhang X (2023) Unintended emotional effects of online health communities: A text mining-supported empirical study. MIS Quart. 47(1):195–266.Crossref, Google Scholar
• Zhu B (2017) MNCs, rents, and corruption: Evidence from China. Amer. J. Political Sci. 61(1):84–99.Crossref, Google Scholar
• Zhu J, Wu Y (2014) Who pays more “tributes” to the government? Sectoral corruption of China’s private enterprises. Crime Law Soc. Change 61(3):309–333.Crossref, Google Scholar
• Zhu F, Zhang X (2010) Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. J. Marketing 74(2):133–148.Crossref, Google Scholar