Abstract
The emergence and widespread adoption of agile methodologies is often explained by the need to improve time management in Information Systems Development (ISD). Indeed, a growing body of evidence supports the view that agile methodologies are an effective means of delivering productivity gains through time savings. That is to say, agile methodologies can be used to increase speed and efficiency in ISD projects. In addition, lightweight agile methodologies are designed, by definition, to minimise wastes in the design and delivery of Information Systems and can therefore be used to support sustainability in IS projects (cf. Schmidt et al. Towards a procedural model for sustainable information systems management, IEEE, pp 1–10, 2009). However, the impact of agile methodologies on ISD project outcomes is less clear. In addressing this question, this research-in-progress paper uses a combination of existing literature and empirical data to construct a conceptual framework to explain how three different temporal aspects of agile methodologies (time pressure, polychronicity and periodicity) impact upon decision quality, thereby affecting ISD project outcomes. It is envisaged that this framework will be used to shed light on how agile methodologies impact upon project effectiveness or velocity, which is defined in this context as movement in the “right” direction.
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Notes
- 1.
Volberda (cited in [9]) observes that flexibility measurable in terms of absolute speed of change; one must instead take into account both time taken to adapt to change and the variety of that change.
- 2.
Parkinson’s Law states that work will expand to fill the available time. This law has been formalised by a number of authors (e.g. [1]).
References
Abdel-Hamid TK, Madnick SE (1989) Lessons learned from modeling the dynamics of software development. Commun ACM 32(12):1426–1438
Ancona D, Chong CL (1996) Entrainment: pace, cycle, and rhythm in organizational behavior. In: Cummings LL (ed) Research in organizational behavior: an annual series of analytical essays and critical reviews. Elsevier Science, New York, pp 251–284
Austin RD (2001) The effects of time pressure on quality in software development: an agency model. Inf Syst Res 12(2):195–207
Baskerville R, Pries-Heje J (2004) Short cycle time systems development. Inf Syst J 14(3):237–264
Begel A, Nagappan N (2007) Usage and perceptions of agile software development in an industrial context: an exploratory study. First international symposium on empirical software engineering and measurement, IEEE, pp 255–264
Blackburn JD, Scudder GD, Van Wassenhove LN (1996) Improving speed and productivity of software development: a global survey of software developers. IEEE Trans Softw Eng 22(12):875–885
Brooks FP Jr (1975) The mythical man-month. Addison-Wesley Longman, Boston, MA
Cooper LC, Rouseau DM (2000) Trends in organizational behavior: time in organizational behavior. Wiley, Chichester
Conboy K (2009) Agility from first principles: reconstructing the concept of agility in information systems development. Inf Syst Res 23(3):329–354
Das TK, Teng BS (2001) Strategic risk behaviour and its temporalities: between risk propensity and decision context. J Manage Stud 38(4):515–534
DeMarco T (1993) Why does software cost so much? Dorset House, New York
Diehl E, Sterman JD (1995) Effects of feedback complexity on dynamic decision making. Organ Behav Hum Decis Process 62(2):198–215
Drury M, Conboy K, Power K (2012) Obstacles to decision making in Agile software development teams. J Syst Softw 85(6):1239–1254
Eisenhardt KM (1989) Making fast strategic decisions in high-velocity environments. Acad Manage J 32(3):543–576
Fiedler FE (1986) The contribution of cognitive resources and leader behavior to organizational performance1. J Appl Soc Psychol 16(6):532–548
Fitzgerald B, Hartnett G, Conboy K (2006) Customising agile methods to software practices at Intel Shannon. Eur J Inf Syst 15(2):200–213
Fowler M, Highsmith J (2001) The Agile manifesto. Softw Dev 9:28–32
Hall ET (1966) The hidden dimension. Anchor, New York
Hassard J (1999) Images of time in work and organization. In: Clegg S, Hardy C (eds) Studying organization: theory and method. Sage, London, pp 327–344
Heidegger M (1962) Being and time. Blackwell, Oxford
Highsmith J (2002) Agile software development ecosystems. Addison-Wesley Longman, Boston, MA
Huber GP (1981) The nature of organizational decision making and the design of decision support systems. Manage Inf Syst Q 5(2):1–10
Huo M, Verner J, Zhu L, Babar MA (2004) Software quality and agile methods. Proceedings of the 28th Annual International Computer Software and Applications Conference, IEEE, vol 521, pp 520–525
Janis IL, Mann L (1977) Decision making: a psychological analysis of conflict, choice, and commitment. Free Press, New York
Jaques E (1982) The form of time. Crane Russak, New York
Johnston JH, Driskell JE, Salas E (1997) Vigilant and hypervigilant decision making. J Appl Psychol 82(4):614
Kumar A, Motwani J (1995) A methodology for assessing time-based competitive advantage of manufacturing firms. Int J Oper Prod Manage 15(2):36–53
Lee H (1999) Time and information technology: monochronicity, polychronicity and temporal symmetry. Eur J Inf Syst 8(1):16–26
Loewenstein G, Thaler RH (1989) Anomalies: intertemporal choice. J Econ Perspect 3(4):181–193
Lopes LL (1996) When time is of the essence: averaging, aspiration, and the short run. Organ Behav Hum Decis Process 65(3):179–189
Markus ML, Robey D (1988) Information technology and organizational change: causal structure in theory and research. Manage Sci 34:583–598
Massey AP, Montoya-Weiss MM, Hung YT (2003) Because time matters: temporal coordination in global virtual project teams. J Manage Inf Syst 19(4):129–156
McAvoy J, Butler T (2009) The role of project management in ineffective decision making within Agile software development projects. Eur J Inf Syst 18(4):372–383
McLeod L, Doolin B (2012) Information systems development as situated socio-technical change: a process approach. Eur J Inf Syst 21:176–191
Mumford L (1934) Technics and civilisation. Harcourt, Brace and World, New York
Nan N, Harter DE (2009) Impact of budget and schedule pressure on software development cycle time and effort. IEEE Trans Softw Eng 35(5):624–637
Nandhakumar J (1999) Managing Time in a Software Factory: Temporal and Spatial Organization of Is Development Activities. Inf Soc 18(4):251–262
Nandhakumar J (2002) Managing time in a software factory: temporal and spatial organization of IS development activities. Inf Soc 18(4):251–262
Newman WS, Podgurski A, Quinn RD, Merat FL, Branicky MS, Barendt NA, Causey GC, Haaser EL, Kim Y, Swaminathan J (2000) Design lessons for building agile manufacturing systems. IEEE Trans Rob Autom 16(3):228–238
Orlikowski WJ, Yates JA (2002) It’s about time: temporal structuring in organizations. Organ Sci 13:684–700
Read D, Loewenstein G, Rabin M (1999) Choice bracketing. J Risk Uncertain 19(1):171–197
Sahay S (1997) Implementation of information technology: a time-space perspective. Organ Stud 18(2):229–260
Sarker S, Sahay S (2004) Implications of space and time for distributed work: an interpretive study of US Norwegian systems development teams. Eur J Inf Syst 13(1):3–20
Sauer C (1993) Why information systems fail: a case study approach. Alfred Waller Ltd., Oxfordshire, UK
Saunders C, Kim J (2007) Editor’s comments: perspectives on time. Manage Inf Syst Q 31(4):pp. iii–xi.
Schein EH (1992) Organizational culture and leadership. Jossey-Bass, San Francisco, CA
Schmidt NH, Erek K, Kolbe LM, Zarnekow R (2009) Towards a procedural model for sustainable information systems management. IEEE, pp 1–10
Tan CH, Teo HH (2007) Training future software developers to acquire agile development skills. Commun ACM 50(12):97–98
Toxvaerd F (2006) Time of the essence. J Econ Theory 129(1):252–272
Van Genuchten M (1991) Why is software late? An empirical study of reasons for delay in software development. IEEE Trans Softw Eng 17(6):582–590
Van Boven L, White K, Huber M (2009) Immediacy Bias in Emotion Perception: Current Emotions Seem More Intense Than Previous Emotions, Journal of Experimental Psychology: General 138(3):368
Wang X, Conboy K, Cawley O (2012) ‘Leagile’ software development: an experience report analysis of the application of lean approaches in agile software development. J Syst Softw 85:1287–1299
Wetherbe JC, Frolick MN (2000) Cycle time reduction: concepts and case studies. Commun AIS 3(4es):1
Williams JD (2009) An introduction to classical rhetoric: essential readings. John Wiley & Son
Wright P (1974) The harassed decision maker: time pressures, distractions, and the use of evidence. J Appl Psychol 59(5):555
Zannier C, Maurer F (2007) Comparing decision making in agile and non-agile software organizations. In: Concas G, Damiani E, Scotto M, Succi G (eds) Agile processes in software engineering and extreme programming. Springer, Berlin, pp 1–8
Zuboff S (1988) In the age of the smart machine: the future of work and power. Basic Books, New York
Acknowledgment
This research is supported by the Irish Social Sciences Platform (ISSP), funded under the Programme for Research in Third Level Institutions, administered by the HEA and co-funded under the European Regional Development Fund (ERDF), and also supported in part by Science Foundation Ireland grant 10/CE/I1855 to Lero.
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Riordan, N.O., Acton, T., Conboy, K., Golden, W. (2013). It Is About Time: Investigating the Temporal Parameters of Decision-Making in Agile Teams. In: Linger, H., Fisher, J., Barnden, A., Barry, C., Lang, M., Schneider, C. (eds) Building Sustainable Information Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-7540-8_35
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