What drives consumers smart? The challenge of adoption of smart city solutions

Classification of approaches to solving the problems of "smart" cities. Improving the effectiveness of the implementation of the marketing decision-making strategy. The introduction of intelligent technologies in the sphere of consumption and services.

Рубрика Маркетинг, реклама и торговля
Вид статья
Язык английский
Дата добавления 03.08.2021
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36. Forbes. 2018. The Smartest Cities in the World in 2018. [Electronic resource]. https:// www.forbes.com/sites/iese/2018/07/13/ the-smartest-cities-in-the-world-in-2018/ (accessed: 10.09.2019).

37. Frattini F., Bianchi M., De Massis A., Sikimic U. 2014. The role of early adopters in the diffusion of new products: Differences between platform and nonplatform innovations. Journal of Product Innovation Management 31 (3): 466-488.

38. Frey B. S., Oberholzer-Gee F. 1997. The Cost of Price Incentives: An empirical analysis of motivation crowding-out. The American Economic Review 87 (4): 746-755.

39. Giffinger R., Fertner C., Kramar H., Kala- sek R., Pichler-Milanovic N., Meijers E. 2007. Smart Cities. Ranking of European Medium-Sized Cities. Final Report. Centre of Regional Science: Vienna UT.

40. Godes D., Mayzlin D. 2004. Using online conversations to study word-of-mouth communication. Marketing Science 23 (4): 545560.

41. Godes D. 2011. Invited comment on “Opinion leadership and social contagion in new product diffusion”. Marketing Science 30 (2): 224-229.

42. Goel Sh., Goldstein D. G. 2014. Predicting individual behavior with social networks. Marketing Science 33 (1): 82-93.

43. Goncalves G., Oliveira T., Cruz-Jesus F. 2018. Understanding individual-level digital divide: Evidence of an African country. Computers in Human Behavior (87): 276-291.

44. Graham-Rowe E., Gardner B., Abraham Ch., Skippon S., Dittmar H., Hutchins R., Stan- nard J. 2012. Mainstream consumers driving plug-in battery-electric and plug-in hybrid electric cars: A qualitative analysis of responses and evaluations. Transportation Research Part A 46 (1): 140-153.

45. Greer C. R., Lei D. 2012. Collaborative innovation with customers: A review of the literature and suggestions for future research. International Journal of Management Reviews 14 (1): 63-84.

46. Hackbarth A., Madlener R. 2013. Consumer preferences for alternative fuel vehicles: A discrete choice analysis. Transportation Research Part D: Transport and Environment (25): 5-17.

47. Haenlein M. 2013. Social interactions in customer churn decisions: The impact of relationship directionality. International Journal of Research in Marketing 30 (3): 236248.

48. Hall R. E., Bowerman B., Braverman J., Taylor J., Todosow H. 2000. The Vision of a Smart City. 2nd International Life Extension Technology Workshop: Paris.

49. Han E., Gershoff A. D. 2018. Lots to do or lots of ways to do it? The role of mood and mind-set on goal motivation. Journal of Consumer Psychology 29 (2): 187-206.

50. Harrison C., Eckman B., Hamilton R., Hartswick P., Kalagnanam J., Paraszczak J., Williams P. 2010. Foundations for smarter cities. IBM Journal of Research and Development 54 (4): 1-16.

51. Heath T. B., Chatterjee S., Basuroy S., Hennig-Thurau T., Kocher B. 2015. Managing innovation sequences over iterated offerings: Developing and testing a relative innovation, comfort, and stimulation framework of consumer responses. Journal of Marketing 79 (6): 71-93.

52. He X. 2016. When perfectionism leads to imperfect consumer choices: The role of dichotomous thinking. Journal of Consumer Psychology 26 (1): 98-104.

53. Heidenreich S., Spieth P., Petschnig M. 2017. Ready, steady, green: Examining the effectiveness of external policies to enhance the adoption of eco-friendly innovations. Journal of Product Innovation Management 34 (3): 343-359.

54. Huang Y., Gokpinar B., Tang C. S., Yoo O. S. 2018. Selling innovative products in the presence of externalities. Production and Operations Management 27 (7): 12361250.

55. IHS Markit. 2014. Smart Cities to Rise Fourfold in Number from 2013 to 2025. [Electronic resource]. https://news.ihsmarkit. com/press-release/design-supply-chain-me- dia/smart-cities-rise-fourfold-number-2013- 2025 (accessed: 10.09.2019).

56. ISO. 2019. ISO 37122:2019 Sustainable Cities and Communities -- Indicators for Smart Cities. [Electronic resource]. https://www. iso.org/standard/69050.html (accessed: 10.09.2019).

57. Iyengar R., Van den Bulte C., Valente T. W. 2010a. Opinion leadership and social contagion in new product diffusion. Marketing Science 30 (2): 195-212.

58. Iyengar R., Van den Bulte C., Valente T. W. 2010b. Further reflections on studying social influence in new product diffusion. Marketing Science 30 (2): 1-9.

59. Iyer G., Kuksov D. 2012. Competition in consumer shopping. Marketing Science 31 (6): 913-933.

60. Janowski T., Estevez E., Baguma R. 2018. Platform governance for sustainable development: Reshaping citizen-administration relationships in the digital age. Government Information Quarterly 35 (4): 1-16.

61. Jensen A. F., Cherchi E., Mabit S. L. 2013. On the stability of preferences and attitudes before and after experiencing an electric vehicle. Transportation Research Part D: Transport and Environment (25): 24-32.

62. Kumar H., Singh M. K., Gupta M. P., Madaan J. 2018. Moving towards smart cities: Solutions that lead to the smart city transformation. Technological Forecasting and Social Change. In press.

63. Kummitha R. K. R., Crutzen N. 2017. How do we understand smart cities? An evolutionary perspective. Cities (67): 43-52.

64. Lambrecht A., Seim K., Tucker C. 2011. Stuck in the Adoption Funnel: The effect of interruptions in the adoption process on usage. Marketing Science 30 (2): 355-367.

65. Langley D. J., Bijmolt T. H. A., Ortt J. R., Pals N. 2012. Determinants of social contagion during new product adoption. Journal of Product Innovation Management 29 (4): 623-638.

66. Lee J. H., Hancock M. G., Hu M. 2014. Towards an effective framework for building cities: Lessons from Seoul and San Francisco. Technological Forecasting and Social Change (89): 80-99.

67. Lee J., Lee H. 2014. Developing and validating a citizen-centric typology for smart city services. Government Information Quarterly 31 (1): 93-105.

68. Lee C., Ofek E., Steenburgh T. J. 2017. Personal and social usage: The origins of active customers and ways to keep them engaged. Management Science 64 (6): 2473-2495.

69. Lee T. (D.), Park H., Lee J. 2018. Collaborative accountability for sustainable public health: A Korean perspective on the effective use of ICT-based health risk communication. Government Information Quarterly 36 (2): 226-236.

70. Li R., Gordon S., Gelfand M. J. 2017. Tightness-looseness: A new framework to understand consumer behavior. Journal of Consumer Psychology 27 (3): 377-391.

71. Lim Ch., Kimb K.-J., Maglioc P. P. 2018. Smart cities with big data: Reference models, challenges, and considerations. Cities (82): 86-99.

72. Makinen S. J., Kanniainen J., Peltola I. 2014. Investigating adoption of free beta applications in a platform-based business ecosystem. Journal of Product Innovation Management 31 (3): 451-465.

73. Manville C., Cochrane G., Cave J., Millard J., Pederson J. K., Thaarup R. K., Liebe A., Wissner M., Massink R., Kotterink B. 2014. Mapping smart cities in the UE. Study. Directorate-General for Internal Policies. Policy Department A: Economic and Scientific Policy. European Parliament: Brussels.

74. Mathur P., Chun H. H., Maheswaran D. 2016. Consumer mindsets and self-enhancement: Signaling versus learning. Journal of Consumer Psychology 26 (1): 142-152.

75. Moreau C. P., Lehmann D. R., Markman A. B. 2001. Entrenched knowledge structures and consumer response to new products. Journal of Marketing Research 38 (1): 14-29.

76. Morvinsky C., Amir O., Muller E. 2017. “Ten million readers can't be wrong!”, or Can they? On the role of information about adoption stock in new product trial. Marketing Science 36 (2): 290-300.

77. Murphy M. C., Dweck C. S. 2016. Mindsets shape consumer behavior. Journal of Consumer Psychology 26 (1): 127-136.

78. Nagle F. 2018. Learning by contributing: Gaining competitive advantage through contribution to crowdsourced public goods. Organization Science 29 (4): 569-587.

79. Nilssen M. 2018. To the smart city and beyond? Developing a typology of smart urban innovation. Technological Forecasting and Social Change 142 (C): 98-104.

80. OneNYC 2050. 2019. Building a Strong and Fair City (1). [Electronic resource]. https:// onenyc2050.com/ (accessed: 05.09.2019).

81. Parry M. E., Kawakami T. 2017. The encroachment speed of potentially disruptive innovations with indirect network externalities: The case of e-readers. Journal of Product Innovation Management 34 (2): 141-158.

82. Peng G., Dey D., Lahiri A. 2014. Healthcare IT adoption: An analysis of knowledge transfer in socioeconomic networks. Journal of Management Information Systems 31 (3): 7-34.

83. Peres R., Muller E., Mahajan V. 2010. Innovation diffusion and new product growth models: A critical review and research directions. International Journal of Research in Marketing (27): 91-106.

84. Peres R., Van den Bulte C. 2014. When to When to take or forgo new product exclusivity: Balancing protection from competition against word-of-mouth spillover. Journal of Marketing 78 (2): 83-100.

85. Porter M. E., Heppelmann J. E. 2014. How smart, connected products are transforming competition. Harvard Business Review. [Electronic resource]. https://hbr. org/2014/11/how-smart-connected-prod- ucts-are-transforming-competition (accessed: 05.09.2019).

86. Prensky M. 2001. Digital natives, digital immigrants. On Horizon 9 (5): 1-2.

87. Rhouma T. B., Zaccour G. 2017. Optimal marketing strategies for the acquisition and retention of service subscribers. Management Science 64 (6): 2609-2627.

88. Rogers E. M. 2003. Diffusion of Innovations. Free Press: N. Y.

89. Ruhlandt R. W. S. 2018. The governance of smart cities: A systematic literature review. Cities (81): 1-23.

90. Sддksjдrvi M., Samiee S. 2011. Assessing multifunctional innovation adoption via an integrative model. Journal of the Academy of Marketing Science 39 (5): 717-735.

91. So K. K. F., Oh H., Min S. 2018. Motivations and constraints of Airbnb consumers: Findings from a mixed-methods approach. Tourism Management (67): 224-236.

92. Song M., Parry M. E., Kawakami T. 2009. Incorporating network externalities into the technology acceptance model. Journal of Product Innovation Management (26): 291-307.

93. Sood A., Kumar V. 2017. Analyzing client profitability across diffusion segments for a continuous innovation. Journal of Marketing Research 54 (6): 932-951.

94. Sun T. Q., Medaglia R. 2019. Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare. Government Information Quarterly 36 (2): 368-383.

95. Susarla A., Oh J.-H. 2012. Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube. Information Systems Research 23 (1): 23-41.

96. Tapiero C. S. 1983. Stochastic diffusion models with advertising and word-of-mouth effects. European Journal of Operational Research 12 (4): 348-356.

97. Taylor Sh., Todd P. 1995. Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International Journal of Research in Marketing 12 (2): 137-155.

98. Trencher G. 2019. Towards the smart city 2.0: Empirical evidence of using smartness as a tool for tackling social challenges. Technological Forecasting and Social Change (142): 117-128.

99. Van den Bulte C., Joshi Y. V. 2007. New product diffusion with influentials and imitators. Marketing Science 26 (3): 400-121.

100. Van den Bulte C., Lilien G. L. 2001. Medical Innovation Revisited: Social contagion versus marketing effort. American Journal of Sociology 106 (5): 1409-1435.

101. Van den Bulte C., Stremersch S. 2004. Social contagion and income heterogeneity in new product diffusion: A meta-analytic test. Marketing Science 23 (4): 530-544.

102. Van den Buuse D., Kolk A. 2018. An exploration of smart city approaches by international ICT firms. Technological Forecasting and Social Change 142: 220-234.

103. Viitanen J., Kingston R. 2014. Smart cities and green growth: outsourcing democratic and environmental resilience to the global technology sector. Environment and Planning A: Economy and Space 46 (4): 803819.

104. Vodanovich Sh., Sundaram D., Myers M. 2010. Digital natives and ubiquitous information systems. Information Systems Research 21 (4): 711-723.

105. Watts D. J., Dodds P. Sh. 2007. Influentials, networks, and public opinion formation. Journal of Consumer Research (34): 441458.

106. Weaver K., Daniloski K., Schwarz N., Cot- tone K. 2015. The role of social comparison for maximizers and satisficers: Wanting the best or wanting to be the best? Journal of Consumer Psychology 25 (3): 372-388.

107. Weaver K., Hamby, A. 2018. The sounds of silence: Inferences from the absence of word-of-mouth. Journal of Consumer Psychology 29 (1): 3-21.

108. Wirtz B. W., Weyerer J. C., Schichtel F. T. 2018. An integrative public IoT framework for smart government. Government Information Quarterly 36 (2): 333-345.

109. Woetzel J., Kuznetsova E. 2018. Smart City Solutions: What Drives Citizen Adoption around the Globe? McKinsey Center for Government. McKinsey&Company.

110. Woetzel J., Remes J., Boland B., Lv K., Sin- ha S., Strube G., Means J., Law J., Cade- na A., Von der Tann V. 2018. Smart Cities: Digital Solutions for a More Livable Future. Report. McKinsey Global Institute.

111. Wong V., Turner W., Stoneman P. 1996. Marketing strategies and market prospects for environmentally-friendly consumer products. British Journal of Management 7 (3): 263-281.

112. Yang S., Hu M., Winer R. S., Assael H., Chen X. 2012. An empirical study of word- of-mouth generation and consumption. Marketing Science 31 (6): 952-963.

113. Yeh H. 2017. The effects of successful ICT- based smart city services: From citizens' perspectives. Government Information Quarterly (34): 556-565.

114. Yigitcanlar T., Kamruzzaman Md., Buys L., Ioppolo G., Sabatini-Marques J., Moreira da Costa E., Yun J. J., 2018. Understanding `smart cities': Intertwining development drivers with desired outcomes in a multidimensional framework. Cities (81): 145-160.

115. Zemack-Rugar Y., Moore S. G, Fitzsimons G. J. 2017. Just do it! Why committed consum

116. ers react negatively to assertive ads. Journal of Consumer Psychology 27 (3): 287301.

117. Zhao M., Hoeffler S., Dahl D. 2009. The role of imagination -- focused visualization on new product evaluation. Journal of Marketing Research (XLVI): 46-55.

Appendix

Motivation for adoption of products/technology/services without the notion “smart” or “sustainable”

Authors

motivation for adoption

1

2

[Morvinsky, Amir, Muller, 2017]

Social influence, homophily to a large current adopting stock

[Aral, Walker, 2011]

Social influence (peer influence -- WOM and social contagion -- passive broadcast notifications). Referrals, incentives for influentials to spread the word, viral campaigns, viral product design. Homophily, pressure for conformity

[Peres, Muller, Mahajan, 2010]

Social interactions: network externalities, signals, interpersonal communications, price reduction (associated with lower risk). Word of mouth and signalling across countries

[Frattini et al.,2014]

Keeping up competitve

[Greer, Lei, 2012]

Individual, motivation for collaboration, demand for customization, trust, empathy, peer recognition, high expectation of benefit

[Edinger-Schons et al., 2018]

Intrinsic, extrinsic motives, self-signal, moral obligation

[Weaver et al., 2015]

Absolute (choosing the best -- satisficer), relative standing (being the best -- maximiser)

[Ariely, Gneezy, Haruvy, 2017]

Social norms (politeness, ethics), utility

[Beresteanu, Li, 2011]

Monetary (government tax programmes, subsidies)

[Byrne, Polonsky, 2001]

Regulatory encouragement and on infrastructure availability, economic, ideological incentives

[Delre, 2015]

Hedonic, enjoyment of joint experience, social bonding, appreciation from others (comparing to when go to movies alone), internal (WOM), external (advertising)

[Aral, Walker, 2014]

Word of mouth, social influence

[Bilgicer et al., 2019]

Customer satisfaction

[Susarla, Oh, 2012]

Desire for social conformity, homophily, and awareness diffusion

[Arora, Ter Hofstede, Mahajan, 2017]

Free version and developer reputation to gain additional information and reduce uncertainty. Hedonic, utilitarian motivation to adopt apps

[Berger, Schwarz, 2011]

Cues (accessibility -- whether products are top of mind), public visibility, interest (people may talk about interesting things as they make them seem interesting -- signalling identity)

[Wong, Turner, Stoneman, 1996]

Pursuance of “green” principles. Scepticism and shortcomings in green products performance as a hurdle

[Rhouma, Zaccour, 2017]

Internal incentives provided by the firm (marketing efforts) and by external incentives that include all other factors not related to marketing expenditures

[Avci, Girotra, Netessine, 2014]

Utility maximization from owning a vehicle: utility from driving, range inconvenience, green utility, direct costs

[Goel, Goldstein, 2014]

Social signal -- propensity to do the action (clicking, registering, purchasing) which has been done by a friend

[Sood, Kumar, 2017]

Loyalty

[Parry, Kawakami, 2017]

Collectivism

[Vodanovich, Sundaram, Myers, 2010]

Influence of family and friends, a socially supportive network, and the level of emotional support as well as feeling close and connected to others on a daily basis. Information, community, and collaboration. Task-technology fit. Ease of use, flow. Need to belong

[Huang et al., 2018]

Externality, social learning

[Makinen, Kanniainen, Peltola, 2014]

Testing the app for subsequent adoption

[Mohr, Sengupta, Slater, 2014]

Perceived innovativeness

[Heath et al., 2015]

Reference dependence -- consumers judge current innovations and product experiences relative to reference states such as prior innovations and product experiences. Consumer desires for comfort. Consumer desires for stimulation

[Haenlein, 2013]

Network externality, homophily

[Frey, Oberholzer- Gee, 1997]

Price incentives, extrinsic and intrinsic motivation, signalling (risk-signalling)

[Brass, Butterfield, Skaggs, 1998]

Social effects

[Bollinger, Gillingham, 2012]

Social spillover, peer effects: visibility of the panel (image motivation), WOM (information transfer)

[Boyd, Mason, 1999]

Attractiveness of an innovation, beliefs (about attractivenes), personal need

[Iyer, Kuksov, 2012]

Shopping experience (environment, such as music, smell, color, entertainment, education)

[Yang et al., 2012]

WOM

[Bass, 1969]

Contagion, imitation of innovators

[Zhao, Hoeffler, Dahl, 2009]

Visualisation, self-referencing

[Tapiero, 1983]

WOM, interaction, diffusion, advertising

[Van den Bulte, Stremersch, 2004]

Social-normative pressures, power distance (need to conform with the status group) -- social identity. Masculinity -- the greater importance masuline cultures attach to material possessions, the higher intrinsic tendency to adopt innovations. Provision of complements

[Van den Bulte, Lilien, 2001]

Normative pressure, competitive concern (rivals ivho have adopted the innovation might be able to gain a competitive edge unless one adopts as well), performance network effect (the number of prior adoptions)

[Taylor, Todd, 1995]

Perception of relative advantage, compatibility and complexity, facilitating conditions (time, money, technology)

[So, Oh, Min, 2018]

Price value, enjoyment (hedonic motivation), home benefits (home atmosphere), authencity, novelty, social interaction, social influence, sharing economy ethos, electronic WOM, trend affinity

[Sддksjдrvi, Samiee, 2011]

The degree of technological anxiety consumers experience when faced with such products and how playful they feel when interacting with them. Positive emotions

[Godes, Mayzlin, 2004]

WOM

[Iyengar, Van den Bulte, Valente, 2010a]

Volume of product usage, network ties

[Iyengar, Van den Bulte, Valente, 2010b]

Social-normative considerations, social identity considerations, competitive considerations, installed base effects

[Moreau, Lehmann, Markman, 2001]

Consumers' existing category knowledge and innovation continuity

[Lambrecht, Seim, Tucker, 2011]

Time (quicker) and money (savings)

[Godes, 2011]

Riskiness of the product -- risk reduction -- contagion

[Aral, 2011]

Network externality, product price

[Zemack-Rugar, Moore, Fitzsimons, 2017]

Non-compliance quilt

[Van den Bulte, Joshi, 2007]

Interest on new developments, enthusiasm for innovations vs risk aversion. Social identity, social status

[Song, Parry, Kawakami, 2009]

Availability of complementary products, innovation's usefulness and ease of use

[Langley et al., 2012]

Explicit recommendations or word of mouth, implicit social norms such as what a person feels is expected of him or her, or visible behavior

[Peng, Dey, Lahiri, 2014]

Contagion

[Allaway et al., 1994]

Word of mouth, visual stimuli

[Peng, Dey, Lahiri, 2008]

Advertising and promotional activities; self-service, where there is a transfer of labor to the customer; the supplier provides an experience and the customer is part of this context; the customer self-selects, using the supplier's prescribed processes, to solve a particular problem; the customer and supplier engage in the especially important activity of co- design of products. Emotion as one of the three elements of the relationship experience

[Nagle, 2018]

Learning

[Chua, Roth, Lemoine, 2015]

Country's cultural norms (e.g. prize for originality in the USA). Cultural tightness is reflected in a society's institutional practices, influencing individual-level cognition, motivation, and behaviors

[Mathur, Chun, Maheswaran, 2016]

Self-signaling, other-signalling

[Faraji-Rad, Melumad, Johar, 2017]

Desire for control. The more people desire control, the more likely they are to avoid situations that require relinquishing control

[He, 2016]

Perfectionism, high standard, motivation to excel

[Li, Gordon, Gelfand, 2017]

Advertising in loose cultures: promotion of ideals, permissiveness, and norm deviance. Advertising themes in tight cultures will emphasize prevention focus, uniformity, and norm abidance.

[Han, Gershoff, 2018]

Stand to benefit, goal progress, proximity, framing of goal associated activities, and the presence of conflicting goals, mood maintenance

[Weaver, Hamby, 2018]

Social influence

[Ajzen, 1991]

Subjective norm, attitude, belief (salient beliefs: behavioral beliefs, normative beliefs, control beliefs)

[Peres, Van den Bulte, 2014]

Positive externality of social contagion, WOM, social-normative acceptability, legitimacy, concerns about social status, visual influence, exclusivity

[Lee, Ofek, Steenburgh, 2017]

WOM, search advertising, mass-invite, peer-to-peer actions

[Murphy, Dweck, 2016]

Mindsets are important because they shape people's motivation. Praises -- for fixed minset, learning -- for growth mindset. Self-enhancement through brand signaling by fixed mindset, by process by growth mindset

[Kummitha, Crutzen, 2017]

Improvement of quality of life

[Chatterjee, Kar, Gupta, 2018]

Satisfaction (when «use» is taken in a process sense), intentional attitude, information quality, perceived information quality, perceived system quality, perceived service quality, perceived intention to use IoT, perceived Users' satisfaction using IoT, actual usage of IoT, perceived net benefit of IoT

[Kumar et al., 2018]

SDT (self-determination theory): two types of motivation i.e. extrinsic motivation when people make decisions for a purpose; and intrinsic motivation when people perform activities for fun and enjoyment. TAM (technology acceptance model): usefulness and ease of use

[Yeh, 2017]

Customer needs and values

[El-Haddadeha et al., 2019]

The perceived value of IoT is strongly influenced by empowerment, perceived usefulness and privacy related issues

[Bjerkan, Norbech, Nordtomme, 2016]

Tax exemptions, exemption from road tolling or bus lane access, purchase price. Actual costs and cost perceptions, risks, technological conservatism, (unproven) technological performance, unfamiliarity and lack of knowledge

[Chong et al., 2018]

The extent that cities are ready to include their citizens in shared governance, there are multiple ways of collecting citizen input

[DeLone, McLean, 2003]

System quality, information quality, service quality, usage, user satisfaction, net benefit

[Viitanen, Kingston, 2014]

Motivational force behind ICT -- to eradicate human error, uncertainty

[Lee, Hancock, Hu, 2014]

Empowerment, perceived usefulness, privacy

[Heidenreich, Spieth, Petschnig, 2017]

Innovativeness

Аннотация

Почему потребители выбирают c «умом»? Вызовы принятия потребителями решений умных городов

Ю. А. Мальченко, М. М. Смирнова

Институт «Высшая школа менеджмента» Санкт-Петербургского государственного университета, Россия

В связи с распространением цифровых технологий многие города начали поддерживать умные решения для эффективного использования ограниченных ресурсов.

Развитие умных городов требует тесного сотрудничества между органами управления, бизнесом и сообществом потребителей для разработки решений для различных заинтересованных сторон.

Несмотря на то что большинство исследований в этой области сосредоточено на цифровой стороне умных решений, набирает обороты и подход, ориентированный в первую очередь на интересы жителей городов как пользователей данных решений.

Однако область принятия жителями умных городских решений недостаточно изучена.

На практике исследования ограничиваются предложениями использовать обратную связь с потребителями, при этом факторы, стимулирующие потребителей принимать решения умных городов, не были выявлены.

Данная работа направлена на создание теоретической основы для дальнейших исследований, включающей интегрированный и ориентированный на жителей городов подход «снизу вверх». Статья объединяет идеи из существующих исследований, посвященных внедрению инноваций и созданию решений для умных городов.

Предлагаемая теоретическая классификация сопровождается предложениями для будущих исследований, посвященных цифровым «аборигенам» как будущим потребителям умных решений.

Ключевые слова: решения умного города, внедрение инноваций, принятие потребителем, готовность к принятию решений, гражданско-ориентированный подход, подход «снизу вверх».

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