Technical Debt and Firm Performance

References

• Akbas F, Jiang C, Koch PD (2017) The trend in firm profitability and the cross-section of stock returns. Accounting Rev. 92(5):1–32.Crossref, Google Scholar
• Ali A, Zhang W (2015) CEO tenure and earnings management. J. Accounting Econom. 59(1):60–79.Crossref, Google Scholar
• Anderson MC, Banker RD, Ravindran S (2003) The new productivity paradox. Comm. ACM 46(3):91–94.Crossref, Google Scholar
• Anderson MC, Banker RD, Ravindran S (2006) Value implications of investments in information technology. Management Sci. 52(9):1359–1376.Link, Google Scholar
• Armstrong CS, Jagolinzer AD, Larcker DF (2010) Chief Executive officer equity incentives and accounting irregularities. J. Accounting Res. 48(2):225–271.Crossref, Google Scholar
• Banker RD, Kauffman RJ, Morey RC (1990) Measuring gains in operational efficiency from information technology: A study of the Positran deployment at Hardee’s Inc. J. Management Inform. Systems 7(2):29–54.Crossref, Google Scholar
• Banker RD, Kauffman RJ (1991) Reuse and productivity in integrated computer-aided software engineering: An empirical study. Management Inform. Systems Quart. 15(3):375–401.Crossref, Google Scholar
• Banker RD, Davis GB, Slaughter SA (1998) Software development practices, software complexity, and software maintenance performance: A field study. Management Sci. 44(4):433–450.Link, Google Scholar
• Banker RD, Potter G, Srinivasan D (2000) An empirical investigation of an incentive plan that includes nonfinancial performance measures. Accounting Rev. 75(1):65–92.Crossref, Google Scholar
• Banker RD, Slaughter SA (2000) The moderating effects of structure on volatility and complexity in software enhancement. Inform. Systems Res. 11(3):219–240.Link, Google Scholar
• Barker VL, Mueller GC (2002) CEO characteristics and firm R&D spending. Management Sci. 48(6):782–801.Link, Google Scholar
• Basu S, Liang Y (2019) Director-liability-reduction laws and conditional conservatism. J. Accounting Res. 57(4):889–917.Crossref, Google Scholar
• Beasley MS (1996) An empirical analysis of the relation between the board of director composition and financial statement fraud. Accounting Rev. 71(4):443–465.Google Scholar
• Brown N, Cai Y, Guo Y, Kazman R, Kim M, Kruchten P, Lim E, MacCormack A, Nord R, Ozkaya I, et al.. (2010) Managing technical debt in software-reliant systems. Proc. FSE/SDP Workshop Future Software Engrg. Res. (Association for Computing Machinery, New York), 47–52.Google Scholar
• Buchholz S, Sisk D (2014) Reversing your organization’s ‘technical debt.’ Wall Street Journal (March 4), http://deloitte.wsj.com/cio/2014/03/04/reversing-your-organizations-technical-debt/.Google Scholar
• Cameron C, Trivedi P (2005) Microeconometrics: Methods and Applications (Cambridge University Press, New York).Crossref, Google Scholar
• Chillarege R, Bhandari IS, Chaar JK, Halliday MJ, Moebus DS, Ray BK, Wong BY (1992) Orthogonal defect classification-a concept for in-process measurements. IEEE Trans. Software Engrg. 18(11):943–956.Crossref, Google Scholar
• Cram DP, Karan V, Stuart I (2009) Three threats to validity of choice-based and matched-sample studies in accounting research. Contemporary Accounting Res. 26(2):477–516.Crossref, Google Scholar
• Chan YE, Huff SL, Barclay DW, Copeland DG (1997) Business strategic orientation, information systems strategic orientation, and strategic alignment. Inform. Systems Res. 8(2):125–150.Link, Google Scholar
• Cunningham W (1992) The WyCash portfolio management system. Proc. Object-Oriented Programming Systems Languages Appl. (Cambridge University Press, New York), 29–30.Google Scholar
• Curtis B, Jay S, Szynkarski A (2012) Estimating the principal of an application’s technical debt. IEEE Software 29(6):34–42.Crossref, Google Scholar
• Davenport TH (1998) Putting the enterprise into the enterprise system. Harvard Bus. Rev. 76(4):121–131.Google Scholar
• Dechow PM, Sloan RG (1991) Executive incentives and the horizon problem: An empirical investigation. J. Accounting Econom. 14(1):51–89.Crossref, Google Scholar
• DeFond ML, Park CW (1999) The effect of competition on CEO turnover. J. Accounting Econom. 27(1):35–56.Crossref, Google Scholar
• Dehning B, Richardson VJ, Zmud RW (2007) The financial performance effects of IT-based supply chain management systems in manufacturing firms. J. Oper. Management 25(4):806–824.Crossref, Google Scholar
• Dewan S, Mendelson H (1998) Information technology and time-based competition in financial markets. Management Sci. 44(5):595–609.Link, Google Scholar
• Dorantes CA, Li C, Peters GF, Richardson VJ (2013) The effect of enterprise systems implementation on the firm information environment. Contemporary Accounting Res. 30(4):1427–1461.Crossref, Google Scholar
• Dos Santos BL, Peffers K (1995) Rewards to investors in innovative information technology applications: First movers and early followers in ATMs. Organ. Sci. 6(3):241–259.Link, Google Scholar
• Eick SG, Graves TL, Karr AF, Marron JS, Mockus A (2001) Does code decay? Assessing the evidence from change management data. IEEE Trans. Software Engrg. 27(1):1–12.Crossref, Google Scholar
• Engle RF, Granger CWJ, Rice J, Weiss A (1986) Semiparametric estimates of the relation between weather and electricity sales. J. Amer. Statist. Assoc. 81(394):310–320.Crossref, Google Scholar
• Erat S, Kavadias S (2006) Introduction of new technologies to competing industrial customers. Management Sci. 52(11):1675–1688.Link, Google Scholar
• Esposito L, Esposito FF (1971) Foreign competition and domestic industry profitability. Rev. Econom. Statist. 53(4):343–353.Crossref, Google Scholar
• Fama EF, French KR (2015) A five-factor asset pricing model. J. Financial Econom. 116(1):1–22.Crossref, Google Scholar
• Fleder D, Hosanagar K (2009) Blockbuster culture’s next rise or fall: The impact of recommender systems on sales diversity. Management Sci. 55(5):697–712.Link, Google Scholar
• Geerts GL, Graham LE, Mauldin EG, McCarthy WE, Richardson VJ (2013) Integrating information technology into accounting research and practice. Accounting Horizons 27(4):815–840.Crossref, Google Scholar
• Grove HD, Selto FH, Hanbery G (1990) The effect of information system intangibles on the market value of the firm. J. Inform. Systems 4(2):36–47.Google Scholar
• Haislip JZ, Richardson VJ (2017) The effect of customer relationship management systems on firm performance. Int. J. Accounting Inform. Systems 27(November):16–29.Crossref, Google Scholar
• Hendricks KB, Singhal VR, Stratman JK (2007) The impact of enterprise systems on corporate performance: A study of ERP, SCM, and CRM system implementations. J. Oper. Management 25(1):65–82.Crossref, Google Scholar
• Hitt LM, Brynjolfsson E (1996) Productivity, business profitability, and consumer surplus: Three different measures of information technology value. Management Inform. Systems Quart. 20(2):121–142.Crossref, Google Scholar
• Hoberg G, Phillips G, Prabhala N (2014) Product market threats, payouts, and financial flexibility. J. Finance 69(1):293–324.Crossref, Google Scholar
• Jayachandran S, Sharma S, Kaufman P, Raman P (2005) The role of relational information processes and technology use in customer relationship management. J. Marketing 69(4):177–192.Crossref, Google Scholar
• Klein JI (1990) Feasibility theory: A resource-munificence model of work motivation and behavior. Acad. Management Rev. 15(4):646–665.Crossref, Google Scholar
• Kobelsky KW, Richardson VJ, Smith RE, Zmud RW (2008) Determinants and consequences of firm information technology budgets. Accounting Rev. 83(4):957–995.Crossref, Google Scholar
• Kobelsky KW, Larosiliere G, Plummer E (2014) The impact of information technology on performance in the not-for-profit sector. Internat. J. Accounting Inform. Systems 15(1):47–65.Crossref, Google Scholar
• Kruchten P, Nord RL, Ozkaya I (2012) Technical debt: From metaphor to theory and practice. IEEE Software 29(6):18–21.Crossref, Google Scholar
• Lim E, Taksande N, Seaman C (2012) A balancing act: What software practitioners have to say about technical debt. IEEE Software 29(6):22–27.Crossref, Google Scholar
• Lim JH, Dehning B, Richardson VJ, Smith RE (2011) A meta-analysis of the effects of IT investment on firm financial performance. J. Inform. Systems 25(2):145–169.Crossref, Google Scholar
• MacCormack A, Verganti R, Iansiti M (2001) Developing products on “internet time”: The anatomy of a flexible development process. Management Sci. 47(1):133–150.Link, Google Scholar
• Marinescu R (2012) Assessing technical debt by identifying design flaws in software systems. IBM J. Res. Development 56(5):9–1.Crossref, Google Scholar
• Masli A, Peters GF, Richardson VJ, Sanchez JM (2010) Examining the potential benefits of internal control monitoring technology. Accounting Rev. 85(3):1001–1034.Crossref, Google Scholar
• Masli A, Richardson VJ, Sanchez JM, Smith RE (2011) The business value of IT: A synthesis and framework of archival research. J. Inform. Systems 25(2):81–116.Crossref, Google Scholar
• Masli A, Richardson VJ, Sanchez JM, Smith RE (2014) The interrelationships between information technology spending, CEO equity incentives, and firm value. J. Inform. Systems 28(2):41–65.Crossref, Google Scholar
• Matějka M, Merchant KA, Van der Stede WA (2009) Employment horizon and the choice of performance measures: Empirical evidence from annual bonus plans of loss-making entities. Management Sci. 55(6):890–905.Link, Google Scholar
• Mauldin EG, Ruchala L (1999) Toward a meta-theory of accounting information systems. Accounting Organ. Soc. 24(4):317–331.Crossref, Google Scholar
• Mendelson H, Pillai RR (1999) Industry clockspeed: Measurement and operational implications. Manufacturing Service Oper. Management 1(1):1–20.Link, Google Scholar
• Mithas S, Krishnan MS, Fornell C (2005) Why do customer relationship management applications affect customer satisfaction? J. Marketing 69(4):201–209.Crossref, Google Scholar
• Mithas S, Almirall D, Krishnan MS (2006) Do CRM systems cause one-to-one marketing effectiveness? Statist. Sci. 21(2):223–233.Crossref, Google Scholar
• Montgomery AL (1997) Creating micro-marketing pricing strategies using supermarket scanner data. Marketing Sci. 16(4):315–337.Link, Google Scholar
• Nagar V, Rajan MV (2005) Measuring customer relationships: The case of the retail banking industry. Management Sci. 51(6):904–919.Link, Google Scholar
• Novy-Marx R (2013) The other side of value: The gross profitability premium. J. Financial Econom. 108(1):1–28.Crossref, Google Scholar
• Pavlou PA, El Sawy OA (2006) From IT leveraging competence to competitive advantage in turbulent environments: The case of new product development. Inform. Systems Res. 17(3):198–227.Link, Google Scholar
• Pavlou PA, El Sawy OA (2010) The “third hand”: IT-enabled competitive advantage in turbulence through improvisational capabilities. Inform. Systems Res. 21(3):443–471.Link, Google Scholar
• Rai A, Tang X (2010) Leveraging IT capabilities and competitive process capabilities for the management of interorganizational relationship portfolios. Inform. Systems Res. 21(3):516–542.Link, Google Scholar
• Rajgopal S, Venkatachalam M, Kotha S (2002) Managerial actions, stock returns, and earnings: The case of business-to-business Internet firms. J. Accounting Res. 40(2):529–556.Crossref, Google Scholar
• Rajgopal S, Venkatachalam M, Kotha S (2003) The value relevance of network advantages: The case of e–commerce firms. J. Accounting Res. 41(1):135–162.Crossref, Google Scholar
• Ramalingegowda S, Yu Y (2012) Institutional ownership and conservatism. J. Accounting Econom. 53(1–2):98–114.Crossref, Google Scholar
• Ramasubbu N, Kemerer C, Hong J (2012) Structural complexity and programmer team strategy: An experimental test. IEEE Trans. Software Engrg. 38(5):1054–1068.Crossref, Google Scholar
• Ramasubbu N, Kemerer C (2014) Managing technical debt in enterprise software packages. IEEE Trans. Software Engrg. 40(8):758–772.Crossref, Google Scholar
• Ramasubbu N, Kemerer C (2016) Technical debt and the reliability of enterprise software systems: A competing risks analysis. Management Sci. 62(5):1487–1510.Link, Google Scholar
• Ranganathan C, Brown CV (2006) ERP investments and the market value of firms: Toward an understanding of influential ERP project variables. Inform. Systems Res. 17(2):145–161.Link, Google Scholar
• Reinartz W, Krafft M, Hoyer WD (2004) The customer relationship management process: Its measurement and impact on performance. J. Marketing Res. 41(3):293–305.Crossref, Google Scholar
• Richardson VJ, Chang C, Smith RE (2013) Accounting Information Systems (McGraw Hill Education, New York).Google Scholar
• Rolland KH, Mathiassen L, Rai A (2018) Managing digital platforms in user organizations: The interactions between digital options and digital debt. Inform. Systems Res. 29(2):419–443.Link, Google Scholar
• Rust RT, Chung TS (2006) Marketing models of service and relationships. Marketing Sci. 25(6):560–580.Link, Google Scholar
• Sabherwal R, Chan YE (2001) Alignment between business and IS strategies: A study of prospectors, analyzers, and defenders. Inform. Systems Res. 12(1):11–33.Link, Google Scholar
• Sethi V, King WR (1994) Development of measures to assess the extent to which an information technology application provides competitive advantage. Management Sci. 40(12):1601–1627.Link, Google Scholar
• Setia P, Setia M, Krishnan R, Sambamurthy V (2011) The effects of the assimilation and use of IT applications on financial performance in healthcare organizations. J. Assoc. Inform. Systems 12(3):274–298.Google Scholar
• Shipman JE, Swanquist QT, Whited RL (2017) Propensity score matching in accounting research. Accounting Rev. 92(1):213–244.Crossref, Google Scholar
• Spínola RO, Vetro A, Zazworka N, Seaman C, Shull F (2013) Investigating technical debt folklore: shedding some light on technical debt. Proc. 4th Internat. Workshop Managing Technical Debt (IEEE, New York).Google Scholar
• Sun B (2006) Technology innovation and implications for customer relationship management. Marketing Sci. 25(6):594–597.Link, Google Scholar
• Tom E, Aurum A, Vidgen R (2013) An exploration of technical debt. J. Systems Software 86(6):1498–1516.Crossref, Google Scholar
• Wixom BH, Todd PA (2005) A theoretical integration of user satisfaction and technology acceptance. Inform. Systems Res. 16(1):85–102.Link, Google Scholar
• Woodard CJ, Ramasubbu N, Tschang T, Sambamurthy V (2013) Design capital and design moves: The logic of business strategy. Management Inform. Systems Quart. 37(2):537–564.Crossref, Google Scholar
• Zeithaml VA, Berry L, Parasuraman A (1996) The behavioral consequences of service quality. J. Marketing 60(2):31–46.Crossref, Google Scholar