Encouraging Innovations of Quality from User Innovators: An Empirical Study of Mobile Data Services

Published Online:https://doi.org/10.1287/serv.2018.0223

References

  • Ahuja MK, Thatcher JB (2005) Moving beyond intentions and towards the theory of trying: Effects of work environment and gender on post-adoption information technology use. MIS Quart. 29(3):427–460.CrossrefGoogle Scholar
  • Amabile TM (1996) Creativity and innovation in organizations. Harvard Business School Background Note 396-239, Harvard Business School, Boston.Google Scholar
  • Apple (2013) App store review guidelines, 2013. Accessed January 10, 2018, https://developer.apple.com/appstore/guidelines.html.Google Scholar
  • Armstrong JS, Overton TS (1977) Estimating non-response bias in mail surveys. J. Marketing Res. 14(3):396–402.CrossrefGoogle Scholar
  • Baer M, Oldham G (2006) The curvilinear relation between experienced creative time pressure and creativity: Moderating effects of openness to experience and support for creativity. J. Appl. Psych. 91(4):963–970.CrossrefGoogle Scholar
  • BI Intelligence (2017) Global app revenue grows 40%. Business Insider (January 18), http://www.businessinsider.com/global-app-revenue-grows-40-2017-1/?r=AU&IR=T.Google Scholar
  • Boor PVD, Oliveira P, Veloso F (2014) Users as innovators in developing countries: The global sources of innovation and diffusion in mobile banking services. Res. Policy 43(9):1594–1607.CrossrefGoogle Scholar
  • Boudreau K (2010) Open platform strategies and innovation: Granting access vs. devolving control. Management Sci. 56(10):1849–1872.LinkGoogle Scholar
  • Boudreau K (2012) Let a thousand flowers bloom? An early look at large numbers of software app developers and patterns of innovation. Organ. Sci. 23(5):1409–1427.LinkGoogle Scholar
  • Boudreau K, Hagiu A (2009) Platforms rules: Multi-sided platforms as regulators. Gawer A, ed. Platforms, Markets and Innovation (Edward Elgar, London), 163–191.CrossrefGoogle Scholar
  • Boudreau K, Lakhani KR (2009) How to manage outside innovation. Sloan Management Rev. 50(4):69–76.Google Scholar
  • Breaugh JA (1999) Further investigation of the work autonomy scales: Two studies. J. Bus. Psych. 13(3):357–377.CrossrefGoogle Scholar
  • Brown SA, Dennis AR, Venkatesh V (2010) Predicting collaboration technology use: Integrating technology adoption and collaboration research. J. Management Inform. Systems 27(2):9–54.CrossrefGoogle Scholar
  • Burrows P (2010) Apple vs. Google: How the battle between Silicon Valley’s superstars will shape the future of mobile computing. Bloomberg Businessweek (January 14), http://www.businessweek.com/magazine/content/10_04/b4164028483414.htm.Google Scholar
  • Carbonell P, Rodriguez-Escudero AI, Pujari D (2009) Customer involvement in new service development: An examination of antecedents and outcomes. J. Product Innovation Management 26(5):536–550.CrossrefGoogle Scholar
  • Carroll E, Latulipe C (2009) The creativity support index. ACM CHI 2009 Companion Proc. (ACM, Boston), 4009–4014.CrossrefGoogle Scholar
  • Ceccagnoli M, Forman C, Huang P, Wu DJ (2012) Cocreation of value in a platform ecosystem: The case of Enterprise Software. MIS Quart. 36(1):263–290.CrossrefGoogle Scholar
  • Chang Y, Chen M (2016) Service regime and innovation clusters: An empirical study from service firms in Taiwan. Res. Policy 45(9):1845–1857.CrossrefGoogle Scholar
  • Chen JS, Tsou HT, Huang AYH (2009) Service delivery innovation: Antecedents and impact on firm performance. J. Service Res. 12(1):36–55.CrossrefGoogle Scholar
  • Chevalier JA, Mayzlin D (2006) The effect of word of mouth on sales: Online book reviews. J. Marketing Res. 43(3):345–354.CrossrefGoogle Scholar
  • Chow GC (1960) Tests of equality between sets of coefficients in two linear regressions. Econometrica 28(3):591–605.CrossrefGoogle Scholar
  • Chung-Yan GA (2010) The nonlinear effects of job complexity and autonomy on job satisfaction, turnover, and psychological well-being. J. Occupational Health Psych. 15(3):237–251.CrossrefGoogle Scholar
  • Crowston K, Howison J, Annabi H (2006) Information systems success in free and open source software development: Theory and measures. Software Process Improvement Practice 11(2):123–148.CrossrefGoogle Scholar
  • Dahl DW, Moreau CP (2007) Thinking inside the box: Why consumers enjoy constrained creative experiences. J. Marketing Res. 44(3):357–369.CrossrefGoogle Scholar
  • Davis F, Bagozzi R, Warshaw P (1989) User acceptance of computer technology: A comparison of two theoretical models. Management Sci. 35(8):982–1003.LinkGoogle Scholar
  • Davis MM, Spohrer JC, Maglio PP (2011) Guest editorial: How technology is changing the design and delivery of services. Oper. Management Res. 4(1/2):1–5.CrossrefGoogle Scholar
  • De Vaus D (2002) Analyzing Social Science Data: Fifty Key Problems in Data Analysis (Sage, London).Google Scholar
  • Dean DL, Hender JM, Rodgers JL, Santanen EL (2006) Identifying quality, novel, and creative ideas: Constructs and scales for idea evaluation. J. Assoc. Inform. Systems 7(10):646–699.Google Scholar
  • Deci EL, Ryan RM (1985) Intrinsic Motivation and Self Determination in Human Behaviour (Plenum, New York).CrossrefGoogle Scholar
  • Deci EL, Ryan RM (1991) A motivational approach to self: Integration in personality. Dienstbier R, ed. Nebraska Symposium on Motivation, vol. 38 (University of Nebraska Press, Lincoln), 237–288.Google Scholar
  • Deci EL, Connell JP, Ryan RM (1989) Self-determination in a work organization. J. Applied Psych. 74(4):580–590.CrossrefGoogle Scholar
  • Di Gangi PM, Wasko M (2009) Steal my idea! Organizational adoption of user innovations from a user innovation community: A case study of Dell Ideastorm. Decision Support Systems 48(1):303–312.CrossrefGoogle Scholar
  • Duan W, Gu B, Whinston AB (2008) Do online reviews matter? An empirical investigation of panel data. Decision Support Systems 45(4):1007–1016.CrossrefGoogle Scholar
  • Ebner W, Leimeister JM, Krcmar H (2009) Community engineering for innovations: The ideas competition as a method to nurture a virtual community for innovations. R&D Management 39(4):342–356.CrossrefGoogle Scholar
  • Fershtman C, Gandal N (2011) Direct and indirect knowledge spillovers: The “social network” of open-source projects. RAND J. Econom. 42(1):70–91.CrossrefGoogle Scholar
  • Franke N, Piller FT (2004) Value creation by toolkits for user innovation and design: The case of the watch market. J. Product Innovation Management 21(6):401–415.CrossrefGoogle Scholar
  • Franke N, von Hippel E (2003) Satisfying heterogeneous user needs via innovation toolkits: The case of Apache security software. Res. Policy 32(7):1199–1215.CrossrefGoogle Scholar
  • Franke N, Keinz P, Schreier M (2008) Complementing mass customization toolkits with user communities: How peer input improves customer self-design. J. Product Innovation Management 25(6):546–559.CrossrefGoogle Scholar
  • Franke N, Schreier M, Kaiser U (2010) The “I designed it myself” effect in mass customization. Management Sci. 56(1):125–140.LinkGoogle Scholar
  • Fuller J, Muhlbacher H, Matzler K, Jawechi G (2009) Consumer empowerment through internet-based co-creation. J. Management Inform. Systems 26(3):71–102.CrossrefGoogle Scholar
  • Gagne M, Deci E (2005) Self-determination theory and work motivation. J. Organ. Behavior 26(4):331–362.CrossrefGoogle Scholar
  • Gefen D, Rigdon EE, Straub DW (2011) An update and extensions to SEM guidelines for administrative and social science research. MIS Quart. 35(2):iii–xiv.CrossrefGoogle Scholar
  • Google (2013) Google Play developer program policies. Accessed January 10, 2018, https://play.google.com/about/developer-content-policy.html.Google Scholar
  • Gupta S (2013) For mobile devices, think apps, not ads. Harvard Bus. Rev. 91(2):71–75.Google Scholar
  • Hair JF, Black WC, Babin BJ, Anderson RE, Tatham RL (2006) Multivariate Data Analysis, 6th ed. (Pearson Education, New York).Google Scholar
  • Haner UE (2002) Innovation quality—a conceptual framework. Internat. J. Production Econom. 80(1):31–37.CrossrefGoogle Scholar
  • Harker M, Taheri B (2011) Marketing applications: From Angry Birds to happy marketers. Acad. Marketing Conf., Liverpool, UK.Google Scholar
  • Hennessey BA, Amabile TM (2010) Creativity. Annual Rev. Psych. 61:569–598.CrossrefGoogle Scholar
  • Hong S, Tam KY (2006) Understanding the adoption of multipurpose information appliances: The case of mobile data services. Inform. Systems Res. 17(2):162–179.LinkGoogle Scholar
  • Jeppesen LB (2005) User toolkits for innovation: Consumers support each other. J. Product Innovation Management 22(4):347–363.CrossrefGoogle Scholar
  • Kankanhalli A, Ye H, Teo HH (2015) Comparing potential and actual innovators: An empirical study of mobile data services innovation. MIS Quart. 39(3):667–682.CrossrefGoogle Scholar
  • Kim B (2010) An empirical investigation of mobile data service continuance: Incorporating the theory of planned behavior into the expectation-confirmation model. Expert Systems Appl. 37(10):7033–7039.CrossrefGoogle Scholar
  • Kowal J, Fortier MS (1999) Motivational determinants of flow: Contributions from self determination theory. J. Soc. Psych. 139(3):355–368.CrossrefGoogle Scholar
  • Kratzer J, Lettl C (2008) A social network perspective of lead users and creativity: An empirical study among children. Creativity Innovation Management 17(1):26–36.CrossrefGoogle Scholar
  • Lahiri N (2010) Geographic distribution of R&D activity: How does it affect innovation quality. Acad. Management J. 53(5):1194–1209.CrossrefGoogle Scholar
  • Lee G, Raghu TS (2014) Determinants of mobile apps’ success: Evidence from the app store market. J. Management Inform. Systems 31(2):133–169.CrossrefGoogle Scholar
  • Lee S, Shin B, Lee HG (2009) Understanding post-adoption usage of mobile data services: The role of supplier-side variables. J. Assoc. Inform. Systems 10(12):860–888.Google Scholar
  • Liu Z, Au YA, Choi HS (2012) An empirical study of the freemium strategy for mobile apps: Evidence from the Google Play market. Internat. Conf. Inform. Systems, Orlando, FL, 1–17.Google Scholar
  • Lusch RF, Nambisan S (2015) Service innovation: A service-dominant logic perspective. MIS Quart. 39(1):155–175.CrossrefGoogle Scholar
  • Lusch RF, Vargo SL, O’Brien M (2007) Competing through service: Insights from service-dominant logic. J. Retailing 83(1):5–18.CrossrefGoogle Scholar
  • Magnusson PR, Matthing J, Kristensson P (2003) Managing user involvement in service innovation. J. Service Res. 6(2):111–124.CrossrefGoogle Scholar
  • Manner J, Nienaber D, Schermann M, Krcmar H (2013) Six principles for governing mobile platforms. Proc. 11th Internat. Conf. Wirtschaftsinformatik (WI2013), Leipzig, Germany, vol. 2, Association for Information Systems. Available at https://aisel.aisnet.org/wi2013/86.Google Scholar
  • Matthing J, Sanden B, Edvardsson B (2004) New service development: Learning from and with customers. Internat. J. Service Indust. Management 15(5):479–498.CrossrefGoogle Scholar
  • Matthing J, Kristensson P, Gustafsson A, Parasuramsan A (2006) Developing successful technology-based services: The issue of identifying and involving innovative users. J. Services Marketing 20(5):288–297.CrossrefGoogle Scholar
  • Menor LJ, Roth AV (2007) New service development competence in retail banking: Construct development and measurement validation. J. Oper. Management 25(4):825–846.CrossrefGoogle Scholar
  • Morgeson FP, Humphrey SE (2006) The Work Design Questionnaire (WDQ): Developing and validating a comprehensive measure for assessing job design and the nature of work. J. Applied Psych. 91(6):1321–1339.CrossrefGoogle Scholar
  • Morris MG, Venkatesh V (2010) Job characteristics and job satisfaction: Understanding the role of enterprise resource. MIS Quart. 34(1):143–161.Google Scholar
  • Morrison EW, Phelps CC (1999) Taking charge at work: Extrarole efforts to initiate workplace change. Acad. Management J. 42(4):403–419.CrossrefGoogle Scholar
  • Morrison PD, Roberts JH, von Hippel E (2000) Determinants of innovation and innovation sharing in local markets. Management Sci. 46(12):1513–1527.LinkGoogle Scholar
  • Mudambi RS, Mudambi PN (2007) Global innovation in MNCs: The effects of subsidiary self-determination and teamwork. J. Product Innovation Management 24(5):442–455.CrossrefGoogle Scholar
  • Ordanini A, Parasuraman A (2011) Service innovation viewed through a service dominant logic lens: A conceptual framework and empirical analysis. J. Service Res. 14(1):3–23.CrossrefGoogle Scholar
  • Podsakoff PM, MacKenzie S, Lee JY, Podsakoff NP (2003) Common method biases in behavioral research: A critical review of the literature and recommended remedies. J. Applied Psych. 88(5):879–903.CrossrefGoogle Scholar
  • Randall T, Terwiesch C, Ulrich KT (2005) Principles for user design of customized products. California Management Rev. 47(4):68–85.CrossrefGoogle Scholar
  • Rizwan M, Khan DJ, Saboor F (2011) Relationship of job involvement with employee performance: Moderating role of attitude. Eur. J. Bus. Management 3(8):77–85.Google Scholar
  • Rowan D, Cheshire T (2009) The app explosion. Wired UK (December 22), http://www.wired.co.uk/magazine/archive/2010/02/features/the-app-explosion/viewgallery/260135.Google Scholar
  • Roztocki N (2001) Using internet-based surveys for academic research: opportunities and problems. Proc. 2001 Amer. Soc. of Engrg. Management (ASEM) Natl. Conf., Huntsville, AL, 290–295.Google Scholar
  • Ryan RM (1982) Control and information in the intrapersonal sphere: An extension of cognitive evaluation theory. J. Personality Soc. Psych. 43(3):749–761.CrossrefGoogle Scholar
  • Ryan RM, Connell JP (1989) Perceived locus of causality and internalization: Examining reasons for acting in two domains. J. Personality Soc. Psych. 57:749–761.CrossrefGoogle Scholar
  • Ryan RM, Deci EL (2000) Self-determination theory and the facilitation of intrinsic motivation, social development, and well being. Amer. Psych. 55(1):68–78.CrossrefGoogle Scholar
  • Schaarschmidt M, Walsh G, Evanschitzky H (2018) Customer interaction and innovation in hybrid offerings: Investigating moderation and mediation effects for goods and services innovation. J. Service Res. 21(1):119–134.CrossrefGoogle Scholar
  • Shalley CE (1995) Effects of coaction, expected evaluation, and goal setting on creativity and productivity. Acad. Management J. 38(2):483–503.Google Scholar
  • Shalley CE, Oldham G (1997) Competition and creative performance: Effects of competitor presence and visibility. Creativity Res. J. 10(4):337–345.CrossrefGoogle Scholar
  • Shalley CE, Perry-Smith J (2001) Effects of social psychological factors on creative performance: The role of informational and controlling expected evaluation and modeling experience. Organ. Behav. Human Decision Processes 84(1):1–22.CrossrefGoogle Scholar
  • Shalley CE, Zhou J, Oldham G (2004) The effects of personal and contextual characteristics on creativity: Where should we go from here? J. Management 30(6):933–958.Google Scholar
  • Shih SP, Jiang JJ, Klein G, Wang E (2011) Learning demand and job autonomy of IT personnel: Impact on turnover intention. Comput. Human Behav. 27(6):2301–2307.CrossrefGoogle Scholar
  • Shneiderman B (2007) Creativity support tools: Accelerating discovery and innovation. Comm. ACM 50(12):20–32.CrossrefGoogle Scholar
  • Silver MS (1991) Decisional guidance for computer-based decision support. MIS Quart. 15(1):105–122.CrossrefGoogle Scholar
  • Smith SW, Shah SK (2013) Do innovative users generate more useful insights? An analysis of corporate venture capital investments in the medical device industry. Strategic Entrepreneurship J. 7(2):151–167.CrossrefGoogle Scholar
  • Straub D, Boudreau M, Gefen D (2004) Validating guidelines for IS positivist research. Comm. Assoc. Inform. Systems 13(24):380–427.Google Scholar
  • Tiwana A, Konsynski B, Bush AA (2010) Platform evolution: Coevolution of platform architecture, governance, and environmental dynamics. Inform. Systems Res. 21(4):675–687.LinkGoogle Scholar
  • Torugsa N, Arundel A (2017) Rethinking the effect of risk aversion on the benefits of service innovations in public administration agencies. Res. Policy 46(5):900–910.CrossrefGoogle Scholar
  • von Hippel E (2005) Democratizing Innovation (MIT Press, Boston).CrossrefGoogle Scholar
  • von Hippel E, Katz R (2002) Shifting innovation to users via toolkits. Management Sci. 48(7):821–833.LinkGoogle Scholar
  • Wang AC, Cheng BS (2010) When does benevolent leadership lead to creativity? The moderating role of creative role identity and job autonomy. J. Organ. Behav. 31(1):106–121.CrossrefGoogle Scholar
  • Wasserman AI (2010) Software engineering issues for mobile application development. Proc. FSE/SDP Workshop Future Software Engrg. Res. (FoSER '10) (ACM, New York), 397–400.Google Scholar
  • Wolber D, Abelson H, Spertus E, Looney L (2011) App Inventor for Android: Create Your Own Android Apps (O'Reilly, Sebastopol, CA).Google Scholar
  • Ye H, Kankanhalli A (2018) User service innovation on mobile phone platforms: Investigating impacts of lead userness, toolkit support, and design autonomy. MIS Quart. 42(1):165–187.CrossrefGoogle Scholar
  • Ye H, Chua C, Sun J (2017) Enhancing mobile data services performance via online reviews. Inform. Systems Frontiers (May 9), https://link.springer.com/article/10.1007/s10796-017-9763-1.CrossrefGoogle Scholar
  • Ye H, Kankanhalli A, Goh KY, Sun J (2011) Investigating value co-creation in innovation of IT-enabled services: An empirical study of mobile data services. Proc. 32nd AIS Internat. Conf. Inform. Systems, Shanghai, China.Google Scholar
  • Yoo Y (2010) Computing in everyday life: A call for research on experiential computing. MIS Quart. 34(2):213–231.CrossrefGoogle Scholar
  • Zhou J (1998) Feedback valence, feedback style, task autonomy, and achievement orientation: Interactive effects on creative performance. J. Applied Psych. 83(2):261–276.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.