Skip to main content
SpringerLink
Log in

Impacts of collaborative IS on software development project success in Indian software firms: a service perspective

  • Original Article
  • Published:
Information Systems and e-Business Management Aims and scope Submit manuscript

Abstract

The collaborative work of team members has become a common occurrence in software development projects. Collaborative information systems (CIS), designed to facilitate and support teamwork, appear critical for software project success. However, the quality and convenience of the services and functions delivered by CIS have not received robust attention in academia. Hence, the current study investigates the role of the CIS service characteristics of service quality and service convenience in teamwork and software development project success using DeLone and McLean’s (D&M) Information System (IS) Success Model as the theoretical framework. This study incorporates the success indicators of teamwork quality, teamwork performance, and project success as measured by software quality and project performance. Data from 153 Indian software companies confirm that collaborative IS services, as well as teamwork quality/performance, are central to software development project success. We believe that the findings of this study will be helpful to project managers of software development firms.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Agarwal R, Prasad J (1998) A conceptual and operational definition of personal innovativeness in the domain of information technology. Inf Syst Res 9(2):204–215

    Article  Google Scholar 

  • Bafoutsou G, Mentzas G (2002) Review and functional classification of collaborative systems. Int J Inf Manage 22(4):281–305

    Article  Google Scholar 

  • Bagheri E, Ghorbani AA (2009) A belief-theoretic framework for the collaborative development and integration of para-consistent conceptual models. J Syst Softw 82(4):707–729

    Article  Google Scholar 

  • Bernroider EWN (2008) IT governance for enterprise resource planning supported by the DeLone–McLean model of information systems success. Inf Manag 45(5):257–269

    Article  Google Scholar 

  • Berry LL, Seiders K, Grewal D (2002) Understanding service convenience. J Mark 66(3):1–17

    Article  Google Scholar 

  • Bhatnagar S (2006) India’s software industry. In: Chandra V (ed) Technology, adaptation, and exports: how some developing countries got it right. The World Bank, Washington, DC, pp 49–81

    Google Scholar 

  • Bosch J, Bosch-Sijtsema P (2010) From integration to composition: on the impact of software product lines, global development and ecosystems. J Syst Softw 83(1):67–76

    Article  Google Scholar 

  • Bravo C, Duque R, Gallardo J (2013) A groupware system to support collaborative programming: design and experiences. J Syst Softw 86:7

    Article  Google Scholar 

  • Caniëls MC, Bakens RJ (2012) The effects of Project Management Information Systems on decision making in a multi project environment. Int J Project Manag 30(2):162–175

    Article  Google Scholar 

  • Chang M-Y, Chen K, Pang C, Chen C-M, Yen DC (2013) A study on the effects of service convenience and service quality on maintenance revisit intentions. Comput Stand Interfaces 35(2):187–194

    Article  Google Scholar 

  • Chatterjee C (2014) Innovation and internationalisation in the Indian software industry: Wipro-Going forward: interview with Rishad Premji, Chief Strategy Officer, Wipro Limited. IIMB Manag Rev 26(1):59–64

    Article  Google Scholar 

  • Chin WW (1998) The partial least squares approach to structural equation modeling. Mod Methods Bus Res 295(2):295–336

    Google Scholar 

  • Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Lawrence Erlbaum, Hillside

    Google Scholar 

  • Comry AL, Lee HB (1992) A first course in factor analysis. Lawrence Erlbaum Associates, Hillsdale

    Google Scholar 

  • Cronin Jr JJ, Taylor SA (1992) Measuring service quality: a reexamination and extension. J Mark 56(3):55–68

    Article  Google Scholar 

  • Dai H, Salam AF, King R (2008) Service convenience and relational exchange in electronic mediated environment: an empirical investigation. Paper presented at the 29th ICIS, Paris, France, 14–17 Dec 2008, AISeL, pp 1–20

  • DeLone WH, McLean ER (1992) Information systems success: the quest for the dependent variable. Inf Syst Res 3(1):60–95

    Article  Google Scholar 

  • DeLone WH, McLean WR (2003) The DeLone and McLean model of information systems success: a ten-year update. J Manag Inf Syst 19(4):9–30

    Google Scholar 

  • Doll WJ, Torkzadeh G (1991) The measurement of end-user computing satisfaction: theoretical and methodological issues. MIS Q 15(1):5–10

    Article  Google Scholar 

  • Durham M (2007) Distributed teams. http://www.spspro.com/brochures/guest/Distributed%20Teams%20070615%20-%20Michelle%20Durham.pdf. Accessed 24 Mar 2015

  • Easley RF, Devaraj S, Crant JM (2003) Relating collaborative technology use to teamwork quality and performance: an empirical analysis. J Manag Inf Syst 19(4):247–268

    Google Scholar 

  • Edvardsson B, Larsson G, Setterlind S (1997) Internal service quality and the psychological work environment: an empirical analysis of conceptual interrelatedness. Serv Ind J 17(2):252–263

    Article  Google Scholar 

  • Edwards HK, Sridhar V (2003) Analysis of the effectiveness of global virtual teams in software engineering projects. System Sciences, 2003. In: Proceedings of the 36th Annual Hawaii international conference on. IEEE, 9 pp

  • El-Bibany H, Katz G, Vij S (1991) Collaborative information systems: a comparison of the electronics and facility design industries. Center for Integrated Facility Engineering, Technical Report # 48:1–15

  • Espinosa JA, Slaughter SA, Kraut RE, Herbsleb JD (2007) Familiarity, complexity, and team performance in geographically distributed software development. Organ Sci 18(4):613–630

    Article  Google Scholar 

  • Fisher K, Fisher M (2000) The distance manager: a hands on guide to managing off-site employees and virtual teams. Mcgraw-Hill, NY

    Google Scholar 

  • Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18(1):39–50

    Article  Google Scholar 

  • Gallardo J, Bravo C, Redondo MA (2012) A model-driven development method for collaborative modeling tools. J Netw Comput Appl 35(3):1086–1105

    Article  Google Scholar 

  • Gorla N, Somers TM, Wong B (2010) Organizational impact of system quality, information quality, and service quality. J Strateg Inf Syst 19(3):207–228

    Article  Google Scholar 

  • Hair JE, Black WC, Babin BC, Anderson RL (2006) Multivariate data analysis, 6th edn. Prentice-Hall, Upper Saddle River

    Google Scholar 

  • Hair JF Jr, Hult GTM, Ringle C, Sarstedt M (2013) A primer on partial least squares structural equation modeling (PLS-SEM). Sage, Thousand Oaks

    Google Scholar 

  • Hair JF Jr, Sarstedt M, Hopkins L, Kuppelwieser VG (2014) Partial least squares structural equation modeling (PLS-SEM): an emerging tool in business research. Eur Bus Rev 26(2):106–121

    Article  Google Scholar 

  • Han W-M, Huang S-J (2007) An empirical analysis of risk components and performance on software projects. J Syst Softw 80(1):42–50

    Article  Google Scholar 

  • Henseler J, Ringle CM, Sinkovics RR (2009) The use of partial least squares path modeling in international marketing. Adv Int Mark 20:277–319

    Google Scholar 

  • Herbsleb JD (2007) Global software engineering: the future of socio-technical coordination. In: Future of software engineering, Minneapolis, MN, 23–25 May 2007. IEEE Computer Society, pp 188–198

  • Heskett JL, Jonesw OT, Lovemen WG, Sasser E, Leonard AS (1994) Putting the service-profit chain to work. Harv Bus Rev 72(2):164–174

    Google Scholar 

  • Highsmith J (2013) Adaptive software development: a collaborative approach to managing complex systems. Addison-Wesley, Boston

    Google Scholar 

  • Hoegl M, Parboteeah P (2006) Autonomy and teamwork in innovative projects. Hum Resour Manag 45(1):67–79

    Article  Google Scholar 

  • Hoegl M, Parboteeah KP (2007) Creativity in innovative projects: how teamwork matters. J Eng Tech Manag 24(1):148–166

    Article  Google Scholar 

  • Hoegl M, Proserpio L (2004) Team member proximity and teamwork in innovative projects. Res Policy 33(8):1153–1165

    Article  Google Scholar 

  • Jalote P (2008) A concise introduction to software engineering. Springer, New York

    Book  Google Scholar 

  • Jiang JJ, Klein G, Carr CL (2002) Measuring information system service quality: SERVQUAL from the other side. MIS Q 26(2):145–166

    Article  Google Scholar 

  • Jiang L, Jiang N, Liu S (2011) Consumer perceptions of e-service convenience: an exploratory study. Procedia Environ Sci 11:406–410

    Article  Google Scholar 

  • Kang G, Jame J, Alexandris K (2002) Measurement of internal service quality: application of the SERVQUAL battery to internal service quality. Manag Serv Qual 12(5):278–291

    Article  Google Scholar 

  • Kannabiran G, Sankaran K (2011) Determinants of software quality in offshore development–An empirical study of an Indian vendor. Inf Softw Technol 53(11):1199–1208

    Article  Google Scholar 

  • Katzenbach JR, Smith DK (1993) The discipline of teams. Harv Bus Rev 71(2):111–120

    Google Scholar 

  • Kettinger WJ, Lee CC (1994) Perceived service quality and user satisfaction with the information services functions. Decis Sci 25(5/6):737–766

    Article  Google Scholar 

  • Kossler ME, Prestridge S (2004) Leading dispersed teams (ideas into action guidebooks). Center for Creative Leadership, Greensboro

    Google Scholar 

  • Lai J-Y, Wibowo S (2012) How service convenience influences information system success. Int J Future Comput Comm 1(3):217–220

    Article  Google Scholar 

  • Lai J-Y (2014) E-SERVCON and E-Commerce success: applying the DeLone & McLean Model. J Organ End User Comput 26(3):1–22

    Article  Google Scholar 

  • Lee J-N, Choi B (2011) Effects of initial and ongoing trust in IT outsourcing: a bilateral perspective. Inf Manag 48(2):96–105

    Article  Google Scholar 

  • Lee J, Park M-c (2013) Factors affecting the smartphone users to use the mobile portal services: focusing on Korean mobile portals. Inf Syst and eBus Manag 11(2):235–252

    Article  Google Scholar 

  • Lee S-K, Yu J-H (2012) Success model of project management information system in construction. Autom Constr 25:82–93

    Article  Google Scholar 

  • Li Y, Chang K-C, Chen H-G, Jiang JJ (2010) Software development team flexibility antecedents. J Syst Softw 83(10):1726–1734

    Article  Google Scholar 

  • Liu JY-C, Chen HH-G, Jiang JJ, Klein G (2010) Task completion competency and project management performance: the influence of control and user contribution. Int J Project Manag 28(3):220–227

    Article  Google Scholar 

  • Moe NB, Dingsøyr T, Dybå T (2010) A teamwork model for understanding an agile team: a case study of a Scrum project. Inf Softw Technol 52(5):480–491

    Article  Google Scholar 

  • Na K-S, Li X, Simpson JT, Kim K-Y (2004) Uncertainty profile and software project performance: a cross-national comparison. J Syst Softw 70(1):155–163

    Article  Google Scholar 

  • NASSCOM (2013) Annual report 2013–2014

  • Nguyen-Duc A, Cruzes DS, Conradi R (2015) The impact of global dispersion on coordination, team performance and software quality—a systematic literature review. Inf Softw Technol 57:277–294

    Article  Google Scholar 

  • Pandey A, Aggarwal A, Devane R, Kuznetsov Y (2006) The Indian diaspora: a unique case? In: Kuznetsov Y (ed) Diaspora networks and the international migration of skills: how countries can draw on their talent abroad. The World Bank, Washington, DC, pp 71–97

    Google Scholar 

  • Pantouvakis A (2011) Internal service quality and job satisfaction synergies for performance improvement: some evidence from a B2B environment. J Target Meas Anal Mark 19(1):11–22

    Article  Google Scholar 

  • Papaioannou E, Assimakopoulos C, Sarmaniotis C, Georgiadis CK (2015) Investigating customer satisfaction dimensions with service quality of online auctions: an empirical investigation of e-Bay. Inf Syst eBus Manag 11(2):313–330

    Article  Google Scholar 

  • Parasuraman A, Zeithaml VA, Berry LL (1988) Servqual. J Retail 64(1):12–37

    Google Scholar 

  • Pedrycz W, Russo B, Succi G (2011) A model of job satisfaction for collaborative development processes. J Syst Softw 84(5):739–752

    Article  Google Scholar 

  • Peng DX, Lai F (2012) Using partial least squares in operations management research: a practical guideline and summary of past research. J Oper Manag 30(6):467–480

    Article  Google Scholar 

  • Peng X, Babar MA, Ebert C (2014) Collaborative software development platforms for crowdsourcing. IEEE Softw 31(2):30–36

    Article  Google Scholar 

  • Pereira J, Cerpa N, Verner J, Rivas M, Procaccino JD (2008) What do software practitioners really think about project success: a cross-cultural comparison. J Syst Softw 81(6):897–907

    Article  Google Scholar 

  • Pitt LF, Watson RT, Kavan CB (1995) Service quality: a measure of information systems effectiveness. MIS Q 19(2):173–189

    Article  Google Scholar 

  • Portillo-Rodríguez J, Vizcaíno A, Piattini M, Beecham S (2012) Tools used in global software engineering: a systematic mapping review. Inf Softw Technol 54(7):663–685

    Article  Google Scholar 

  • Powell A, Piccoli G, Ives B (2004) Virtual teams: a review of current literature and directions for future research. ACM Sigmis Database 35(1):6–36

    Article  Google Scholar 

  • Raymond L, Bergeron F (2008) Project management information systems: an empirical study of their impact on project managers and project success. Int J Project Manag 26(2):213–220

    Article  Google Scholar 

  • Reimers V, Chao F, Lee N, Dennis C (2014) The role of convenience in a recreational shopping trip. Eur J Mark 48(11/12):2213–2236

    Article  Google Scholar 

  • Robillard PN, Robillard MP (2000) Types of collaborative work in software engineering. J Syst Softw 53(3):219–224

    Article  Google Scholar 

  • Ruparelia NB (2010) Software development lifecycle models. ACM SIGSOFT Softw Eng Notes 35(3):8–13

    Article  Google Scholar 

  • Saeed KA (2012) Evaluating the value of collaboration systems in collocated teams: a longitudinal analysis. Comput Hum Behav 28(2):552–560

    Article  Google Scholar 

  • Saleh KA (2009) Software engineering. J. Ross Publishing, Fort Lauderdale, FL

    Google Scholar 

  • Seddon PB (1997) A respecification and extension of the DeLone and McLean model of IS success. Inf Syst Res 8(3):103–108

    Article  Google Scholar 

  • Seiders K, Voss GB, Godfrey AL, Grewal D (2007) SERVCON: development and validation of a multidimensional service convenience scale. J Acad Mark Sci 35(1):144–156

    Article  Google Scholar 

  • Steinfield C (2002) Realizing the benefits of virtual teams. IEEE Comput 35(3):104–106

    Google Scholar 

  • Strode DE, Huff SL, Hope B, Link S (2012) Coordination in co-located agile software development projects. J Syst Softw 85(6):1222–1238

    Article  Google Scholar 

  • Subramanian GH, Jiang JJ, Klein G (2007) Software quality and IS project performance improvements from software development process maturity and IS implementation strategies. J Syst Softw 80(4):616–627

    Article  Google Scholar 

  • Tenenhaus M, Vinzi VE, Chatelin Y-M, Lauro C (2005) PLS path modeling. Comput Stat Data Anal 48(1):159–205

    Article  Google Scholar 

  • Tian K, Cooper K (2006) Agile and software product line methods: are they so different. In: 1st international workshop on agile product line engineering

  • Tsai W-H, Shaw MJ, Fan Y-W, Liu J-Y, Lee K-C, Chen H-C (2011) An empirical investigation of the impacts of internal/external facilitators on the project success of ERP: a structural equation model. Decis Support Syst 50(2):480–490

    Article  Google Scholar 

  • Whitehead J (2007) Collaboration in software engineering: a roadmap. In: Future of software engineering, 2007. FOSE ‘07, 23–25 May 2007, pp 214–225. doi:10.1109/FOSE.2007.4

  • Zhang X, Prybutok VR (2005) A consumer perspective of e-service quality. Eng Manag IEEE Trans 52(4):461–477

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank editor-in-chief Prof. Jörg Becker, and three anonymous reviewers for their assistance in editing and guiding this paper. The authors would also like to thank the Ministry of Science and Technology, Taiwan for substantially supporting this paper under Contract Number: NSC 102-2420-H-005-004-DR.

Author information

Authors and Affiliations

  1. Graduate Institute of Technology Management, National Chung Hsing University, No. 250, Kuo Kuang Road, Taichung, 402, Taiwan

    Khire Rushikesh Ulhas, Jung-Yu Lai & Juite Wang

Authors
  1. Khire Rushikesh Ulhas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jung-Yu Lai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Juite Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jung-Yu Lai.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ulhas, K.R., Lai, JY. & Wang, J. Impacts of collaborative IS on software development project success in Indian software firms: a service perspective. Inf Syst E-Bus Manage 14, 315–336 (2016). https://doi.org/10.1007/s10257-015-0285-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10257-015-0285-4

Keywords

Search

Navigation