The society's digital transformation reshapes both of the private and public sectors and covers technology, organizations, and people aspects. The Internet of Things (IoT) as a fifth generation technology plays a significant role in digitalization and creation of a smart city. Tabriz metropolis is one of the five selected pilot cities for implementing smart city projects in Iran. On the other hand, municipalities have the biggest contribution in transforming a city into a smart city by utilizing the new technologies in urban management, in the other words digitalization. Hence, this study examined the successful IoT adoption in Tabriz Metropolitan municipality in the developing country of Iran by combining the information systems’ success model and TOE framework. Aimed at collecting data on the IoT adoption process, the electronic questionnaire link was distributed among ICT experts and managers of the organization, and 74 valid answers were received. The collected data were analyzed using the regression method. The obtained results proved the positive and direct impact of system quality, ICT infrastructure, enterprise financial and human resources, and external support. In addition, the results showed that information quality and service quality factors did not affect the IoT adoption process significantly. This research can help the senior managers of Tabriz metropolitan municipality in policymaking and launching this technology successfully by identifying the influential factors in IoT adoption.
AamerAMAl-AwlaqiMAAffiaI, et al. (2021) The internet of things in the food supply chain: Adoption challenges. Benchmarking An International Jurnal28(8): 2521–2541.
3.
AboelmagedMG (2014) Predicting E-readiness at firm-level: An analysis of technological, organizational and environmental (TOE) effects on E-maintenance readiness in manufacturing firms. International Journal of Information Management34(5): 639–651.
4.
AhmetogluSChe CobZAliNA (2022) Systematic review of internet of things adoption in organizations: Taxonomy, benefits, challenges and critical factors. Applied Sciences12(9): 4117.
5.
AjzenI (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes50(2): 179–211.
6.
Al-GamrhBKuKNIsmailI, et al. (2018) The role of corporate governance strength in crisis and non-crisis times. Applied Economics50(58): 6263–6284.
7.
Al-ObthaniFAmeenA (2019) Influence of overall quality and innovativeness on actual usage of smart government: An empirical study on the UAE public sector. International Journal on Emerging Technologies10(1a): 141–146.
8.
Al-QirimN (2007) A research trilogy into e-commerce adoption in small businesses in New Zealand. Electronic Markets17(4): 263–285.
9.
AlieeFSKashfiHFarahaniB (2019) The Evolving Enterprise Architecture: A Digital Transformation Perspective. Proceedings of the International Conference on Omni-Layer Intelligent Systems, Crete, Greece, 179–183.
10.
AllamZ (2018) Redefining the smart city: Culture, metabolism and governance. Smart Cities1: 4–25.
11.
AllamZ (2019) The emergence of anti-privacy and control at the nexus between the concepts of safe city and smart city. Smart Cities2: 96–105.
12.
AllamZDhunnyZA (2019) On big data, artificial intelligence and smart cities. Cities89: 80–91.
13.
AmeenAAlmariHIsaacO (2019) Determining underlying factors that influence online social network usage among public sector employees in the UAE. In: SaeedFGazemNMohammedFBusalimA (eds) Advances in Intelligent Systems and Computing. Springer, Cham, 945–954. https://doi.org/10.1007/978-3-319-99007-1_87
14.
AmiriESangarAB (2023) Assessing the ICT development in Iranian citis: The strategy to accelerate digital advancement. Technological Forecasting and Social Change197. https://doi.org/10.1016/j.techfore.2023.122904
15.
AncaraniAMauroCDLegenvreH, et al. (2019) Internet of things adoption: A typology of projects. International Journal of Operations & Production Management40(6): 849–872.
16.
AnisiFChavoshiSK (2022) Strategic control model for the establishment of digital banking in Iran's banking system. Strategic Management Studies Quarterly13(50): 1–19.
17.
AnthopoulosLGReddickCG (2016) Smart City and Smart Government: Synonymous or Complementary?. In: Proceedings of the 25th International Conference Companion on World Wide Web (eds J Bourdeau, JA Hendler and RN Nkambou), Québec, Canada, 351-355.
18.
ArmanMNematollahiHRTangestaniE, et al. (2023) The role of digital transformation and entrepreneurial leadership on organizational performance with the mediation of two-way learning (case study: Small businesses in Bushehr province). Excellence of Human Resources4(1): 87–113.
19.
ArnoldCVoigtKI (2019) Determinants of industrial internet of things adoption in German manufacturing companies. International Journal of Innovation and Technology Management16(6): 1950038.
20.
AshwellML (2017) The digital transformation of intelligence analysis. Journal of Financial Crime24(3): 393–411.
21.
AwaHOOjiaboOU (2016) A model of adoption determinants of ERP within T-O-E framework. Information Technology & People29(4): 901–930.
22.
AwaHOOjiaboOUOrokorLE (2017) Integrated technology-organisation-environment (TOE) taxonomies for technology adoption. Journal of Enterprise Information Management30(6): 893–921.
23.
BadarudinUWDinWISWPrasetyoYA, et al. (2018) Internet of things: An implementation and its challenges in Malaysia. International Journal on Advanced Science, Engineering and Information Technology8(6): 2641–2647.
24.
BagheriNHaddadi HarandiAAValmohammadiC (2021) Identifying and prioritizing the maturity dimensions of the digital transformation in the food industry with the fuzzy DANP approach. Digital Transformation2(3): 1–27.
25.
BakerJ (2012) The technology–organisation–environment framework. In: Integrated Series in Information Systems Book Series. Explaining and Predicting Our Digital Society, Vol. 1, 231–245.
26.
Baradaran KhanianZPanahiHAsgharpourH (2021) Investigating the current situation of smart evolution in tabriz metropolis. Urban Economics5(2): 85–112.
BosdrieszYSinderenMVIacobM, et al. (2018) A building information modelcentered big data platform to support digital transformation in the construction industry. Enterprise Interoperability: Smart Services and Business Impact of Enterprise Interoperability, 209–215.
29.
CarcaryMMaccaniGDohertyE, et al. (2018) Exploring the determinants of IoT adoption: Findings from a systematic literature reviewPerspectives in Business Informatics Research: 17th International Conference, BIR 2018, Stockholm, Sweden, September 24-26, 2018, Proceedings 17. Springer International Publishing, 113–125.
30.
CaroFSadrR (2019) The internet of things (IoT) in retail: Bridging supply and demand. Business Horizons62(1): 47e54.
31.
CasagrasRFID (2011) The inclusive model for the internet of things report. EU Project216803: 16–23.
32.
ChamTHLimYMChengBL, et al. (2016) Determinants of knowledge management systems success in the banking industry. VINE Journal of Information and Knowledge Management Systems46(1): 2–20.
33.
ChanFTChongAYLZhouL (2012) An empirical investigation of factors affecting E-collaboration diffusion in SMEs. International Journal of Production Economics138(2): 329–344.
34.
ChatterjeeS (2018) Success of IoT in smart cities of India: An empirical analysis. Government Information Quarterly35: 349–361.
35.
ChukwudebeGAOguREFaweiJE (2021) Critical requirements for sustainable deployment of IoT systems in Nigeria. In: 2020 IEEE 2nd International Conference on Cyberspac (CYBER NIGERIA). IEEE, 119–126.
36.
ConsoliD (2012) Literature analysis on determinant factors and the impact of ICT in SMEs. Procedia - Social and Behavioral Sciences62: 93–97.
37.
CrittendenABCrittendenVLCrittendenWF (2019) The digitalization triumvirate: How incumbents survive. Business Horizons62(2): 259e266.
38.
DaghanGAkkoyunluB (2016) Modeling the continuance usage intention of online learning environments. Computers in Human Behavior60(1): 198–211.
39.
DavisFD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: 319–340. https://doi.org/10.2307/249008.
40.
DeLoneWHMcLeanER (2003) The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems19(4): 9–30.
41.
DepietroRWiardaEFleischerM (1990) The context for change: Organization, technology, and environment. The Processes of Technological Innovation199: 151–175.
EhieICChiltonMA (2020) Understanding the influence of IT/OT convergence on the adoption of internet of things (IoT) in manufacturing organizations: An empirical investigation. Computers in Industry115: 103166.
44.
EjazWAnpalaganA (2019) Internet of things for smart cities: Overview and key challenges. Internet of Things for Smart Cities: 1–15. https://doi.org/10.1007/978-3-319-95037-2_1.
45.
EsmaeilianBWangBLewisK, et al. (2018) The future of waste management in smart and sustainable cities: A review and concept. Waste Management81: 177–195.
46.
FarooqMUWaseemMKhairiA, et al. (2015) A critical analysis on the security concerns of internet of things (IoT). International Journal of Computer Applications111(7): –6.
47.
FiruzbakhtERezayianA (2022) Designing and explaining the conceptual model of digital transformation of project-oriented organizations of Iran's oil and gas industries. Management Research in Iran26(4): 1–27.
48.
FrancescoSFrancescoPManciniaD (2019) Business model innovation for urban smartization. Technological Forecasting and Social Change: 210–219.
49.
FreezeRDAlshareKALanePL, et al. (2010) IS Success model in e-learning context based on students’ perceptions. Journal of Information Systems Education21(2): 173–184.
50.
GampferFJürgensAMüllerM, et al. (2018) Past, current and future trends in enterprise architecture—A view beyond the horizon. Computers in Industry100: 70–84.
51.
Gartner (2017) In: HungM (ed) Leading the IoT, Gartner Insights on How to Lead in a Connected World. Gartner Research Vice President. Gartner Inc.
52.
Gil-GarciaJRHelbigN (2013) Exploring e-government benefits and success factors. In: Encyclopedia of digital government. Oakland: Idea Group Publishing.
53.
HairJFAndersonRETathamRL, et al. (2009) Multivariate Data Analysis, 7th edPrentice, NJ: Prentice-Hall.
54.
HammiBKhatounRZeadallyS, et al. (2018) Iot technologiesfor smart cities. IET Netw7: 1–13.
55.
HawashBMokhtarUAYusofZM, et al. (2021) Factors Affecting Internet of Things (IoT) Adoption in the Yemeni Oil and Gas Sector. In: 2021 International Conference of Technology, Science and Administration, Taiz, Yemen, 1-7. https://doi.org/10.1109/ICTSA52017.2021.9406527.
56.
HeiligLLalla-RuizEVoßS (2017) Digital transformation in maritime ports: Analysis and a game theoretic framework. NETNOMICS: Economic Research and Electronic Networking18 (2–3): 227–254.
57.
HenriquesDAlmeidaRPereiraR, et al. (2020) How IT governance can assist iot project implementation. International Journal of Information Systems and Project Management8(3): 25–45.
58.
HessTMattCBenlianA, et al. (2016) Options for formulating a digital transformation strategy. MIS Quarterly Executive15(2): 123–139.
59.
HsuCWYehCC (2017) Understanding the factors affecting the adoption of the internet of things. Technology Analysis & Strategic Management29(9): 1089–1102.
60.
HsuPFRaySLi-HsiehYY (2014) Examining cloud computing adoption intention, pricing mechanism, and deployment model. International Journal of Information Management34(4): 474–488.
61.
InigoMAPortoAKremerB, et al. (2020) Towards an Asset Administration Shell scenario: A use case for interoperability and standardization in Industry 4.0. In: NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-6. IEEE. https://doi.org/10.1109/NOMS47738.2020.9110410
JacobssonMLinderothHC (2010) The influence of contextual elements, actors’ frames of reference, and technology on the adoption and use of ICT in construction projects: A Swedish case study. Construction Management and Economics28(1): 13–23.
64.
JhaSNkenyereyeLJoshiGP, et al. (2020) Mitigating and monitoring smart city using internet of things. Computers,Materials and Continua65: 1059–1079.
65.
JnrBAPetersenSAAhlersD, et al. (2020) Big data driven multi-tier architecture for electric mobility as a service in smart cities. International Journal of Energy Sector Management. https://doi.org/10.1108/IJESM-08-2019-0001
66.
KaplanAMHaenleinM (2010) Users of the, unite! the challenges world and opportunities of social media. Business Horizons53(1): 59e68.
67.
KempegowdaSMChaczkoZ (2018) Industry 4.0 Complemented with EA Approach: A Proposal for Digital Transformation Success. 26th International Conference on Systems Engineering, New South Wales, Australia, 1–6.
68.
KetterWPetersMCollinsJ, et al. (2016) A multiagent competitive gaming platform to address societal challenges. MIS Quarterly40(2): 447–460.
69.
KhanMASalahK (2018) Iot security: Review, blockchain solutions, and open challenges. Future Generation Computer Systems82: 395–411.
70.
KlötzerCPflaumA (2017) Toward the development of a maturity model for digitalization within the manufacturing industry’s supply chain. In: Proceedings of the Hawaii International Conference on System Sciences, IEEE Computer Society, Waikoloa Beach, 4210–4219.
71.
KumarSTiwariPZymblerM (2019) Internet of things is a revolutionary approach for future technology enhancement: A review. Journal of Big Data6: 1–21.
72.
LadasiSHShihabMRHidayantoAN, et al. (2019) Prioritizing Determinants of Internet of Things (IoT) Technology Adoption: Case Study of Agribusiness PT. XYZ. In: 2019 3rd International Conference on Informatics and Computational Sciences, Semarang, Indonesia, 1-6. https://doi.org/10.1109/ICICoS48119.2019.8982442
73.
LafiouneNPoirierEASt-JacquesM (2023) Managing urban infrastructure assets in the digital era: challenges of municipal digital transformation. Digital Transformation and Society. https://doi.org/10.1108/DTS-02-2023-0010.
74.
LaiKHChengTCEYeungACL (2005) Relationship stability and supplier commitment to quality. International Journal of Production Economics96(3): 397–410.
75.
LeeG (2019) What roles should the government play in fostering the advancement of the internet of things?Telecomm. Policy43(5): 434–444.
76.
LeeSChoiMKimS (2017) How and what to study about IoT: Research trends and future directions from the perspective of social science. Telecommunications Policy41(10): 1056–1067.
77.
LeuthK (2015) How IoT infrastructure providers will win big from the IoT hype.
78.
LinDLeeCKMLinK (2016) Research on effect factors evaluation of internet of things (IOT) adoption in Chinese agricultural supply chain. In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management, Bali, Indonesia, 612-615. https://doi.org/10.1109/IEEM.2016.7797948
79.
LionoJJayaramanPPQinAK, et al. (2019) QDas: Quality-driven data summarization for effective storage management in the internet of things. Journal of Parallel and Distributed Computing127: 196–208.
80.
LorinczJCaponeAWuJ (2019) Greener, energy-efficient and sustainable networks: State-of-the-art and new trends. Sensors19: 4864.
81.
LuceroS (2016) IoT platforms: enabling the Internet of Things. IHS Technology.
82.
MahmoodiAKhamsehAHosseini ShakibM (2023) The model of innovative social banking based on digital transformation in Iran's banking industry. Transformation Management Journal14(28): 121–149.
83.
MeijerABolívarMPR (2016) Governing the smart city: A review of the literature on smart urban governance. International Review of Administrative Sciences82(2): 392–408.
84.
MellouliSLuna-ReyesLFZhangJ (2014) Smart government, citizen participation and open data. Information Polity19(1and2): 1–4.
85.
Meyerhoff NielsenM (2017) Egovernance and cooperation models for online service supply and citizen use: A comparative analysis of Denmark and Japan. eJournal of EDemocracy and Open Government. CeDEM Issue Best Paper. from CeDEM Asia 16 CeDEM17 Conference9(2): 68–107.
86.
MonzonA (2015) Smart cities concept and challenges: Bases for the assessment of smart city projects. In: SMARTGREENS, Lisbon, Portugal, 1-11.
87.
NooriNJongMDHoppeT (2020) Towards an integrated framework to measure smart city readiness: The case of Iranian cities. Smart Cities3: 676–704.
88.
OkeAEArowoiyaVATemitopeO (2020) An empirical study on challenges to the adoption of the internet of things in the Nigerian construction industry. African Journal of Science, Technology, Innovation and Development14(1): 179–186. https://journals.co.za/doi/pdf/10.1080/20421338.2020.1819117
PanMJJangWY (2008) Determinants of the adoption of enterprise resource planning within the technology-organization-environment framework: Taiwan’s communications industry. Journal of Computer Information Systems48(3): 94–102.
91.
PappasNCaputoAPellegriniMM, et al. (2021) The complexity of decision-making processes and IoT adoption in accommodation SMEs. Journal of Business Research131: 573–583.
92.
ParasuramanAZeithamlVABerryLL (1985) Model service, its quality and implications for future. The Journal of Marketing49(4): 41–50.
93.
ParraDTGuerreroCD (2020) Decision-making IoT adoption in SMEs from a technological perspective. In: 2020 15th Iberian Conference on Information Systems and Technologies, Seville, Spain, 24-27. https://doi.org/10.23919/CISTI49556.2020.9141045
94.
ParraDTTalero-SarmientoLHOrtizJD, et al. (2021) Technology readiness for IoT adoption in Colombian SMEs. In: 16th Iberian Conference on Information Systems and Technologies, Chaves, Portugal, 1-6. doi: https://doi.org/10.23919/CISTI52073.2021.9476499.
95.
PetterSMcLeanER (2009) A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information and Management46(3): 159–166.
96.
PorterMEHeppelmannJE (2015) How smart, connected products are transforming companies. Harvard Business Review93(10): 96–114.
97.
PsaraKPapadimitriouCEfstratiadiM, et al. (2022) European energy regulatory, socioeconomic, and organizational aspects: An analysis of barriers related to data-driven services across electricity sectors. Energies15(6): 2197.
98.
PudjiantoBZoHCiganekAP, et al. (2011) Determinants of e-government assimilation in Indonesia: An empirical investigation using a TOE framework. Asia Pacific Journal of Information Systems21(1): 49–80.
99.
QianYWuDBaoW, et al. (2019) The internet of things for smart cities: Technologies and applications. IEEE Network33(2): –5.
100.
QuachSThaichonPMartinKD, et al. (2022) Digital technologies: Tensions in privacy and data. Journal of the Academy of Marketing Science50(6): 1299–1323.
101.
RanaNPDwivediYKWilliamsMD, et al. (2014) Investigating success of an e-go vernment initiative: Validation of an integrated IS success model. Information Systems Frontiers17(1): 127–142.
102.
ReckerJ (2013) Scientific Research in Information Systems: A Beginner’s Guide.
103.
RoedderNDauerDLaubisK, et al. (2016) The Digital Transformation and Smart Data Analytics: An Overview of Enabling Developments and Application Areas. IEEE International Conference on Big Data, Washington, DC, 2795–2802.
104.
RogersEM (2003) Diffusion of innovations. In: StacksDSalwenM (eds) An integrated approach to communication theory and research. New York: Routledge.
105.
SatarSBAHussinARCYusofAF (2019) Exploring internet of things adoption in Malaysian oil and gas industry. In: 2019 6th International Conference on Research and Innovation in Information Systems, Johor Bahru, Malaysia. 2-3. https://doi.org/10.1109/ICRIIS48246.2019.9073636
106.
SchollHJAlAwadhiS (2016) Creating smart governance: The key to radical ICT overhaul at the city of Munich. Information Polity21(1): 21–42.
SeetharamanAPatwaNSaravananAS, et al. (2019) Customer expectation from industrial internet of things (IIOT). Journal of Manufacturing Technology Management30(8): 1161–1178.
109.
SelanderLJarvenpaaSL (2016) Digital action repertoires and transforming a social movement organization. MIS Quarterly40(2): 331–352.
110.
SharifiyanDBabalhavayejiFAbazariZ (2021) Presenting the digital identity model in the smart government in Iran's government institutions with the mediating role of digital transformation leadership. Epistemology14: 52.
111.
SharmaMJoshiSKannanD, et al. (2020) Internet of things (IoT) adoption barriers of smart cities’ waste management: An Indian context. Journal of Cleaner Production270: 122047.
112.
SheltonTZookMWiigA (2015) The ‘actually existing smart city’. Cambridge Journal of Regions,Economy and Society8(1): 13–25.
113.
ShiriFShamiZanjaniMAbooyee ArdakanM, et al. (2023) The banks in the age of digital transformation: Considerations for enterprise architecture. Iranian Journal of Information Processing and Management38(4): 1283–1317.
114.
SilvaBNKhanMHanK (2018) Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities. Sustainable Cities and Society38: 697–713.
115.
Silverio-FernandezMARenukappaSSureshS (2019) Evaluating critical success factors for implementing smart devices in the construction industry: An empirical study in the Dominican Republic. Engineering,Construction and Architectural Management26(8): 1625–1640.
116.
SivathanuB (2019) Adoption of industrial IoT (IIoT) in auto-component manufacturing SMEs in India. Information Resources Management Journal32(2): 52–75.
117.
SwansonEB (1994) Information systems innovation among organisations. Management Science40(9): 1069–1092.
118.
TamCOliveiraT (2016) Understanding the impact of m-banking on individual performance: DeLone and McLean and TTF perspective. Computers in Human Behavior61(1): 233–244.
119.
TekicZKoroteevD (2019) From disruptively digital to proudly analog: A holistic typology of digital transformation strategies. Business Horizons. doi:https://doi.org/10.1016/j.bushor.2019.07.002.
120.
ThibaudMChiHZhouW, et al. (2018) Internet of Things (IoT) in high-risk environment, health and safety (EHS) industries: A comprehensive review. Decision Support Systems108: 79–95.
121.
TornatzkyLFleischerM (1990) The process of technology innovation. Lexington, MA: Lexington books.
122.
TripathiS (2021) System Dynamics perspective for Adoption of Internet of Things: A Conceptual Framework. In: 2019 10th International Conference on Computing, Communication and Networking Technologies, Kanpur, India, 1–10. https://doi.org/10.1109/ICCCNT45670.2019.8944664
123.
TuM (2018) An exploratory study of internet of things (IoT) adoption intention in logistics and supply chain management a mixed research approach. International Journal of Logistics Management29: 131–151.
124.
UstundagACevicanE (2018) Industry 4.0: Managing The Digital Transformation. New York: Springer International Publishing.
125.
VassTDSheeHMiahSJ (2021) Iot in supply chain management: Opportunities and challenges for businesses in early industry 4.0 context. Operations and Supply Chain Management14(2): 148–161. https://vuir.vu.edu.au/41849/
126.
VelsbergO (2019) The outcomes of the implementation of internet of things: A public value perspective. In: StrousLCerfVG (eds) First IFIP International Cross-Domain Conference 2018: Internet of Things. Information Processing in an Increasingly Connected World. Poznan: Springer International Publishing, 59–75.
127.
VelsbergOWestergrenUHJonssonK (2020) Exploring smartness in public sector innovation - creating smart public services with the Internet of Things. European Journal of Information Systems.
128.
VenkateshVMorrisMGDavisGB, et al. (2003) User acceptance of information technology: Toward a unified view. MIS Quarterly27(3): 425–478.
129.
VobugariSSrinivasanMKSomayajuluDVLN (2017) Roadmap for Building Effective Complex Enterprise Architecture in Digital Transformation: An Experience-based Industry Best Practices Summary. International Conference on Smart Technologies for Smart Nation, Bengaluru, India, 1627–1632.
130.
VogelsangKLiere-NethelerKPackmohrS, et al. (2019) Barriers to digital transformation in manufacturing: development of a research agenda. https://doi.org/10.24251/HICSS.2019.594
131.
WangYMWangYSYangYF (2010) Understanding the determinants of RFID adoption in the manufacturing industry. Technological Forecasting and Social Change77(5): 803–815.
132.
WangYSLiHTLiCR, et al. (2014) A model for assessing blog-based learning systems success. Online Information Review38(7): 969–990.
133.
ZhuKKraemerKXuS (2002) A cross-country study of electronic business adoption using the technology-organisation-environment framework. International Conference on Information Systems 2002 Proceedings 31.
