题名

從計畫性過時觀點與推-拉-繫住力模型來探討個人電腦作業系統升級意圖

并列篇名

Using Planned Obsolescence and Push-Pull-Mooring Model to Explore Users' PC-OS Upgrading Intentions

作者

徐士傑(Jack Shih-Chieh Hsu);洪郁雯(Yu-Wen Hung);鄭光廷(Kuang-Ting Cheng);賴志傑(Chih-Chieh Lai)

关键词

計畫性過時 ; 推-拉-繫住力模型 ; 作業系統升級 ; planned obsolescence ; push-pull-mooring model ; OS upgrading intentions

期刊名称

資訊管理學報

卷期/出版年月

27卷2期(2020 / 04 / 30)

页次

143 - 174

内容语文

繁體中文

中文摘要

在商業的市場中,計畫性過時是廠商透過頻繁的更新設計,以及終止產品維修與更新,來促使消費者購買新產品的一種營銷策略,藉此可以獲取得更多的利潤。以目前微軟為了要推廣Windows 10為例,其在官網上宣布停止最穩定的作業系統Windows 7時程表,也是採取了計畫性過時的手法。針對這個議題,本研究從計畫性過時的觀點出發,結合推-拉-繫住力模式,建立了一個關於作業系統升級的模型,同時探討使用者對於正版與盜版兩種不同升級方式的意圖。透過問卷收集了296位目前使用Windows 7的使用者,經過PLS統計軟體驗證提出的模型與假說。結果顯示,計畫性過時會正向影響正版與盜版升級意圖;主觀規範、相對優勢會正向影響使用者正版升級意圖;轉換成本會提昇盜版升級意圖,同時也會負向影響正版升級意圖。

英文摘要

Purpose-Planned obsolescence is a marketing strategy of planning and making products with a limited useful life, or making products obsolete to motive the consumers buying "new and improved" products. This study is to examine why Windows 7 users upgrade to Windows 10 while Microsoft support for Windows 7 was officially over. Users can upgrade to Windows 10 either with a genuine copy or with a pirated copy. Use of a pirated Windows 10 impacts Microsoft's revenue. Therefore, this study proposes a model blending planned obsolescence and push-pull-mooring (PPM) model to explore the drivers of users' intention to upgrade of genuine and the pirated one. Design/methodology/approach-This study develops a model based on the push-pull-mooring model that investigates how push factors (planned obsolescence, no mainstream support, and no supported hardware), pull factors (subjective norms and relative advantage), and mooring factors (switching costs and software compatibility) explain intention to upgrade of genuine and the pirated operating system. The model is tested via a survey of Windows 7 users. Findings-Planned obsolescence is found to significantly positively impact the intention to upgrade the genuine and pirated operating system. Switching cost is found to negatively impact intention to upgrade of the genuine one but to positively impact intention to the pirated one. Moreover, subjective norms and relative advantages are found to positively influence the intention to upgrade of the genuine one. Software compatibility is found to have a partially positive relationship with the intention to upgrade the pirated one. Research limitations/implications-This study collected data from Windows 7 users in Taiwan. The results might be limited by Taiwan's consumer culture. Future research may collect data from different countries to verify the framework proposed by this study. Practical implications-This paper provides software providers with suggestions and guidelines to promote new version of software. Strategically, software providers can use planned obsolescence strategy (as a push factor) to motivate users to upgrade their software. For example, the users notice that any supports or services for an old version will be ended. For marketing, managers can apply word-of-mouth marketing and innovation communication (as a pull factor), by which users can have more knowledge before upgrading new version. For management, managers have to pay attention to users' pain points during users' upgrading process and lower users' conversion cost, e.g., providing a fast and risk-free conversion process to lower customer setup costs. Originality/value-This study expands the field of PPM in vertical conversion and to examine the impact of planned obsolescence strategy on personal operating system upgrades. While previous studies focused on the product/service switching, this study apply PPM in the special conversion phenomenon. This paper concludes with implications for practitioners and future directions for PPM and vertical conversion are also discussed.

主题分类 基礎與應用科學 > 資訊科學
社會科學 > 管理學
参考文献
  1. Hou, A.C.Y.,Chern, C.-C.,Chen, H.-G.,Chen, Y.-C.(2011).‘Migrating to a new virtual world’: Exploring MMORPG switching through human migration theory.Computers in Human Behavior,27(5),1892-1903.
    連結:
  2. Lai, M.-C.,Chou, M.-Y.,Lun, X.X.P.(2017).A study on brand switching intention of luxury car owners based on the push-pull-mooring theory.Marketing Review,14(3),263-291.
    連結:
  3. Yu, C.-S.,Chantatub, W.,Mendi, B.(2017).Factors for user intention to switch browsers: A cross-national survey.International Journal of Electronic Commerce Studies,18(2),146-172.
    連結:
  4. 侯正裕,陳靜枝(2012)。「網際遷移」-以人口遷移理論探索社交網站的轉換─舉 Plurk 為例。中華民國資訊管理學報,19(1),105-132。
    連結:
  5. 賴明政,周孟穎(2017)。應用 PPM 理論探討高級進口車顧客之轉換意圖。行銷評論,14(3),263-291。
    連結:
  6. Adamson, G.,Gordon, D.(2003).Industrial Strength Design: How Brooks Stevens Shaped Your World.Cambridge:MIT press.
  7. Ajzen, I. (2002), ‘Constructing a TPB questionnaire: Conceptual and methodological considerations’, available at http://people.umass.edu/aizen/pdf/tpb.measurement. pdf.
  8. Ajzen, I.,Fishbein, M.(1980).Understanding Attitudes and Predicting Social Behavior.NJ:Prentice-Hall.
  9. Amankwah-Amoah, J.(2017).Integrated vs. add-on: A multidimensional conceptualisation of technology obsolescence.Technological Forecasting and Social Change,116,299-307.
  10. Anderson, E.W.,Fornell, C.,Lehmann, D.R.(1994).Customer satisfaction, market share, and profitability: Findings from Sweden.Journal of Marketing,58(3),53-66.
  11. Armstrong, M.(Ed.),Porter, R.(Ed.)(2007).Handbook of Industrial Organization.Dutch:Elsevier.
  12. Au, Y.,Kauffman, R.(2001).Should we wait? Network externalities, compatibility, and electronic billing adoption.Journal of Management Information Systems,18(2),47-63.
  13. August, T.,Tunca, T.I.(2008).Let the pirates patch? An economic analysis of software security patch restrictions.Information Systems Research,19(1),48-70.
  14. Bakhiyi, B.,Gravel, S.,Ceballos, D.,Flynn, M.A.,Zayed, J.(2018).Has the question of e-waste opened a Pandora's box? An overview of unpredictable issues and challenges.Environment International,110,173-192.
  15. Bansal, H.S.,Taylor, S.F.,James, Y.S.(2005).“Migrating” to new service providers: Toward a unifying framework of consumers’ switching behaviors.Journal of the Academy of Marketing Science,33(1),96-115.
  16. Bogue, D.J.(1969).Principles of Demography.New York:Wiley.
  17. Bridgens, B.,Powell, M.,Farmer, G.,Walsh, C.,Reed, E.,Royapoor, M.,Gosling, P.,Hall, J.,Heidrich, O.(2018).Creative upcycling: Reconnecting people, materials and place through making.Journal of Cleaner Production,189,145-154.
  18. BSA (2018), Software Management: Security Imperative, Business Opportunity, Washington, DC
  19. Bundschuh, R.G.,Dezvane, T.M.(2003).How to make after-sales service pay off.McKinsey Quarterly,4(4),116-128.
  20. Burnham, T.A.,Frels, J.K.,Mahajan, V.(2003).Consumer switching costs: A typology, antecedents, and consequences.Journal of the Academy of Marketing Science,31(2),109-126.
  21. Chang, H.H.,Chen, S.W.(2009).Consumer perception of interface quality, security, and loyalty in electronic commerce.Information & Management,46(7),411-417.
  22. Chang, H.H.,Wong, K.H.,Li, S.Y.(2017).Applying push-pull-mooring to investigate channel switching behaviors: M-shopping self-efficacy and switching costs as moderators.Electronic Commerce Research and Applications,24,50-67.
  23. Chang, I.C.,Liu, C.C.,Chen, K.(2014).The push, pull and mooring effects in virtual migration for social networking sites.Information Systems Journal,24(4),323-346.
  24. Cheng, S.,Lee, S.-J.,Choi, B.(2019).An empirical investigation of users’ voluntary switching intention for mobile personal cloud storage services based on the push-pull-mooring framework.Computers in Human Behavior,92,198-215.
  25. Cheng, Z.,Yang, Y.,Lim, J.(2009).Cyber migration: An empirical investigation on factors that affect users’ switch intentions in social networking sites.Proceedings of the 42nd Hawaii International Conference on System Sciences (HICSS 2009),Waikoloa, Big Island, HI, USA:
  26. Chiu, H.-C.,Hsieh, Y.-C.,Roan, J.,Tseng, K.-J.,Hsieh, J.-K.(2011).The challenge for multichannel services: Cross-channel free-riding behavior.Electronic Commerce Research and Applications,10(2),268-277.
  27. Clark, D.E.,Knapp, T.A.,White, N.E.(1996).Personal and location-specific characteristics and elderly interstate migration.Growth and Change,27(3),327-351.
  28. Cohen, R.(1986).Theories of Migration.UK:Cheltenham.
  29. Cooper, T.(2004).Inadequate life? Evidence of consumer attitudes to product obsolescence.Journal of Consumer Policy,27(4),421-449.
  30. Demirhan, D.,Jacob, V.S.,Raghunathan, S.(2007).Strategic IT investments: The impact of switching cost and declining IT cost.Management Science,53(2),208-226.
  31. Dick, A.S.,Basu, K.(1994).Customer loyalty: Toward an integrated conceptual framework.Journal of the Academy of Marketing Science,22(2),99-113.
  32. Farrell, J.,Saloner, G.(1985).Standardization, compatibility, and innovation.The RAND Journal of Economics,16(1),70-83.
  33. Fels, A.,Falk, B.O.,Schmitt, R.(2016).Social media analysis of perceived product obsolescence.Procedia CIRP,50,571-576.
  34. Fishbein, M.,Ajzen, I.(1975).Beliefs, Attitude, Intention and Behavior: An Introduction to Theory and Research.MA:Addison-Wesley.
  35. Fishman, A.,Gandal, N.,Shy, O.(1993).Planned obsolescence as an engine of technological progress.Journal of Industrial Economics,41(4),361-370.
  36. Fleischmann, M.,Amirpur, M.,Grupp, T.,Benlian, A.,Hess, T.(2016).The role of software updates in information systems continuance‐An experimental study from a user perspective.Decision Support Systems,83,83-96.
  37. Fornell, C.(1992).A national customer satisfaction barometer: The Swedish experience.Journal of Marketing,56(1),6-21.
  38. Fornell, C.,Larcker, D.F.(1981).Evaluating structural equation models with unobservable variables and measurement error.Journal of Marketing Research,18(1),39-50.
  39. Gershoff, A.D.,Kivetz, R.,Keinan, A.(2012).Consumer response to versioning: How brands’ production methods affect perceptions of unfairness.Journal of Consumer Research,39(2),382-398.
  40. Goodhue, D.L.,Thompson, R.L.(1995).Task-technology fit and individual performance.MIS Quarterly,19(2),213-236.
  41. Guiltinan, J.(2009).Creative destruction and destructive creations: Environmental ethics and planned obsolescence.Journal of Business Ethics,89(1),19-28.
  42. Guo, Z.,Ma, D.(2018).A model of competition between perpetual software and software as a service.MIS Quarterly,42(1),101-120.
  43. Hair, J.F.,Black, B.,Babin, B.,Anderson, R.E.,Tatham, R.L.(1992).Multivariate Data Analysis.New York:Macmillan.
  44. Hair, J.F.,Hult, G.T.M.,Ringle, C.M.,Sarstedt, M.(2016).A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM).Sage Publications.
  45. Hair, J.F.,Hult, G.T.M.,Ringle, C.M.,Sarstedt, M.(2013).A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM).SAGE Publications.
  46. Hauser, P. M. (Ed.)(1965).Handbook for Social Research in Urban Areas.Belgium:UNESCO.
  47. Hazen, B.T.,Mollenkopf, D.A.,Wang, Y.(2017).Remanufacturing for the circular economy: An examination of consumer switching behavior.Business Strategy and the Environment,26(4),451-464.
  48. Heide, J.B.,Weiss, A.M.(1995).Vendor consideration and switching behavior of buyers in high technology markets.Journal of Marketing,59(3),30-43.
  49. Hsieh, J.-K.,Hsieh, Y.-C.,Chiu, H.-C.,Feng, Y.-C.(2012).Post-adoption switching behavior for online service substitutes: A perspective of the push-pull-mooring framework.Computers in Human Behavior,28(5),1912-1920.
  50. Jones, M.A.,Mothersbaugh, D.,Beatty, S.E.(2000).Switching barriers and purchase intentions in services.Journal of Retailing,76(2),259-274.
  51. Jung, J.,Han, H.,Oh, M.(2017).Travelers’ switching behavior in the airline industry from the perspective of the push-pull-mooring framework.Tourism Management,59,139-153.
  52. Keaveney, S.M.(1995).Customer switching behavior in service industries: An exploratory study.Journal of Marketing,59(2),71-82.
  53. Kende, M.(1994).A note on backward compatibility.Economics Letters,45(3),385-389.
  54. Khoo, H.M.,Robey, D.(2007).Deciding to upgrade packaged software: A comparative case study of motives, contingencies and dependencies.European Journal of Information Systems,16(5),555-567.
  55. Kim, S.S.,Son, J.-Y.(2009).Out of dedication or constraint? A dual model of postadoption phenomena and its empirical test in the context of online services.MIS Quarterly,33(1),49-70.
  56. Klemperer, P.(1995).Competition when consumers have switching costs: An overview with applications to industrial organization, macroeconomics, and international trade.The Review of Economic Studies,62(4),515-539.
  57. Kozlowski, A.,Searcy, C.,Bardecki, M.(2018).The reDesign canvas: Fashion design as a tool for sustainability.Journal of Cleaner Production,183,194-207.
  58. Kuppelwieser, V.G.,Klaus, P.,Manthiou, A.,Boujena, O.(2019).Consumer responses to planned obsolescence.Journal of Retailing and Consumer Services,47,157-165.
  59. Lee, E.S.(1966).A theory of migration.Demography,3(1),47-57.
  60. Lewis, G.J.(1982).Human Migration : A Geographical Perspective.London:Croom Helm.
  61. Li, S.,Cheng, H.K.,Duan, Y.,Yang, Y.-C.(2017).A study of enterprise software licensing models.Journal of Management Information Systems,34(1),177-205.
  62. Liao, Y.-W.,Huang, Y.-M.,Huang, S.-H.,Chen, H.-C.,Wei, C.-W.(2019).Exploring the switching intention of learners on social network-based learning platforms: A perspective of the push–pull–mooring model.Eurasia Journal of Mathematics, Science and Technology Education,15(9)
  63. Lin, T.-C.,Huang, S.-L.(2014).Understanding the determinants of consumers’ switching intentions in a standards war.International Journal of Electronic Commerce,19(1),163-189.
  64. London, B. (1932), Ending the Depression through Planned Obsolescence, University of Wisconsin, Madison.
  65. Maitre‐Ekern, E.,Dalhammar, C.(2016).Regulating planned obsolescence: A review of legal approaches to increase product durability and reparability in Europe.Review of European, Comparative & International Environmental Law,25(3),378-394.
  66. Mariñoso, B.G.(2001).Marketing an upgrade to a system: compatibility choice as a price discrimination device.Information Economics and Policy,13(4),377-392.
  67. Miao, C.-H.(2011).Planned obsolescence and monopoly undersupply.Information Economics and Policy,23(1),51-58.
  68. Miao, C.-H.(2010).Tying, compatibility and planned obsolescence.The Journal of Industrial Economics,58(3),579-606.
  69. Moon, B.(1995).Paradigms in migration research: Exploring ‘moorings’ as a schema.Progress in Human Geography,19(4),504-524.
  70. Morgan, R.M.,Hunt, S.D.(1994).The commitment-trust theory of relationship marketing.Journal of Marketing,58(3),20-38.
  71. Nahm, J.(2008).The effects of one-way compatibility on technology adoption in systems markets.Information Economics and Policy,20(3),269-278.
  72. Nan, G.,Yao, L.,Ho, Y.-C.C.,Li, Z.,Li, M.(2019).An economic analysis of platform protection in the presence of content substitutability.Journal of Management Information Systems,36(3),1002-1036.
  73. Net Applications (2018), Desktop Operating System Market Share October 2018, Net Market Share.
  74. Packard, V.(1960).The Waste Makers.London:Penguin Books.
  75. Pan, M.-W.(2014).Kaohsiung, Taiwan (R. O. C.),National Sun Yat-sen University.
  76. Petter, S.,Straub, D.,Rai, A.(2007).Specifying formative constructs in information systems research.MIS Quarterly,31(4),623-656.
  77. Ping, R.A.(1993).The effects of satisfaction and structural constraints on retailer exiting, voice, loyalty, opportunism, and neglect.Journal of Retailing,69(3),320-352.
  78. Podsakoff, P.M.,Mackenzie, S.B.,Lee, J.-Y.,Podsakoff, N.P.(2003).Common method biases in behavioral research: A critical review of the literature and recommended remedies.Journal of Applied Psychology,88(5),879-903.
  79. Rivera, J.L.,Lallmahomed, A.(2016).Environmental implications of planned obsolescence and product lifetime: a literature review.International Journal of Sustainable Engineering,9(2),119-129.
  80. Rogers, A.(Ed.)(1992).Elderly Migration and Population Redistribution.London:Bellhaven.
  81. Rogers, E.(1995).Diffusion of innovations.New York:Free Press.
  82. Sahin, I.,Zahedi, F.M.(2000).Optimal policies under risk for changing software systems based on customer satisfaction.European Journal of Operational Research,123(1),175-194.
  83. Satyro, W.C.,Sacomano, J.B.,Contador, J.C.,Telles, R.(2018).Planned obsolescence or planned resource depletion? A sustainable approach.Journal of Cleaner Production,195(10),744-752.
  84. Shapiro, C.,Varian, H.R.(1999).Information Rules: A Strategic Guide to the Network Economy.Boston, MA:Harvard Business School Press.
  85. Sharma, N.,Patterson, P.G.(2000).Switching costs, alternative attractiveness and experience as moderators of relationship commitment in professional, consumer services.International Journal of Service Industry Management,11(5),470-490.
  86. Stewart, J.B.(1959).Planned obsolescence.Harvard Business Review,37(5),14-174.
  87. Sun, Y.,Bhattacherjee, A.,Ma, Q.(2009).Extending technology usage to work settings: The role of perceived work compatibility in ERP implementation.Information & Management,46(6),351-356.
  88. Sun, Y.,Liu, D.,Chen, S.,Wu, X.,Shen, X.-L.,Zhang, X.(2017).Understanding users' switching behavior of mobile instant messaging applications: An empirical study from the perspective of push-pull-mooring framework.Computers in Human Behavior,75,727-738.
  89. Venkatesh, V.,Morris, M.G.,Davis, G.B.,Davis, F.D.(2003).User acceptance of information technology: Toward a unified view.MIS Quarterly,27(3),425-478.
  90. Wang, F.-S.(2011).Kaohsiung, Taiwan (R. O. C.).,National Sun Yat-sen University.
  91. Wang, Y.-Y.(2014).Kaohsiung, Taiwan (R. O. C.).,National Sun Yat-sen University.
  92. Wieringa, J.E.,Verhoef, P.C.(2007).Understanding customer switching behavior in a liberalizing service market: An exploratory study.Journal of Service Research,10(2),174-186.
  93. Wu, D.,Nan, G.,Li, M.(2018).Optimal software upgrade strategy: Should we sell products or premium services in the presence of piracy?.Electronic Commerce Research and Applications,28,219-229.
  94. Wu, S.-Y.,Chen, P.-Y.(2008).Versioning and piracy control for digital information goods.Operations Research,56(1),157-172.
  95. Xu, Y.,Yang, Y.,Cheng, Z.,Lim, J.(2014).Retaining and attracting users in social networking services: An empirical investigation of cyber migration.The Journal of Strategic Information Systems,23(3),239-253.
  96. Ye, C.,Potter, R.(2011).The role of habit in post-adoption switching of personal information technologies: An empirical investigation.Communications of the Association for Information Systems,28(1),585-610.
  97. Zhu, K.X.,Zhou, Z.Z.(2012).Research note ‐Lock-in strategy in software competition: Open-source software vs. proprietary software.Information Systems Research,23(2),536-545.
  98. 樊台聖,李一靜,蔡翌潔(2014)。電腦自我效能影響因素之實證文獻分析。臺中教育大學學報,28(2),1-24。