The impact of technological innovations on the competitiveness of the telematic companies
Abstract
Innovation is an important driver of economic progress, benefiting consumers, business and the economy as whole. However, innovation companies face high risks because innovation requires a lot of resources, and it is difficult to predict a payback period in advance. This is common for all types of innovation, but especially to technological innovation. One of the least researched technological innovations is telematics, innovative transport monitoring and control technology solutions. Those are widely applied in logistics, car-sharing platforms and the public transport sector. These innovations help to achieve the goals of the companies that buy and install them, but question what impact they have on the competitiveness of the companies that create these innovations remains a matter of debate. To fill this gap, the purpose of this article is to determine the impact of technological innovation on the competitiveness of telematics companies. In pursuit of this goal, the concepts of technological innovation and competitiveness are revealed. The definition of telematics innovation and its significance for the competitiveness of enterprises was also formed. The empirical part discusses the telematics market, provides the analysis of the main competitiveness indicators of 8 telematics companies and their changes, as well as the analysis of the research and development (R&D) costs and the impact of innovations on competitiveness. Applied research methods: a critical analysis of scientific literature, generalization, systematization of data, computation, and comparison of relative indicator, data dispersion indicator, and dynamics indicator, correlation, and regression analysis. The research reveals that creation and development innovation are related to competitiveness of telematics companies. However, excessive investment into innovation no longer generates positive return.
Article in Lithuanian.
Technologinių inovacijų poveikis telematikos įmonių konkurencingumui
Santrauka
Inovacijos yra svarbus ekonominę pažangą skatinantis veiksnys, teikiantis naudos tiek vartotojams, tiek įmonėms, tiek visai ekonomikai. Vis dėlto inovacijas kuriančios įmonės susiduria su didele rizika, nes inovacijoms kurti reikia daug išteklių, tad sunku iš anksto nustatyti atsipirkimo laikotarpį. Tai būdinga visiems inovacijų tipams, bet ypač technologinėms inovacijomis. Viena iš mažai ištirtų technologinių inovacijų yra telematika – novatoriški transporto stebėjimo ir valdymo technologiniai sprendimai, kurie yra plačiai taikomi logistikoje, transporto priemonių dalijimosi platformose ir viešojo transporto sektoriuje. Šios inovacijos padeda pasiekti jas perkančių ir diegiančių kompanijų tikslus, tačiau kokį poveikį jos turi šias naujoves kuriančių įmonių konkurencingumui, vis dar lieka diskusiniu klausimu. Siekiant užpildyti šią spragą, straipsnio tikslas – nustatyti technologinių inovacijų poveikį telematikos įmonių veiklos konkurencingumui. Įgyvendinant šį tikslą, atskleistos technologinių inovacijų ir įmonių konkurencingumo sampratos, aptarta technologinių inovacijų reikšmė įmonių konkurencingumui. Empirinėje dalyje aptarta telematikos rinka, atlikta aštuonių telematikos įmonių pagrindinių konkurencingumą atspindinčių rodiklių ir jų pokyčių analizė, išlaidų mokslinei tiriamajai ir eksperimentinei plėtrai (MTEP) analizė ir įvertintas inovacijų poveikis konkurencingumui. Taikomi šie tyrimo metodai: kritinė mokslinės literatūros analizė, apibendrinimas, duomenų sisteminimas, santykinių rodiklių, duomenų sklaidos rodiklių ir dinamikos rodiklių skaičiavimas, lyginimas, koreliacinė ir porinė regresinė analizė. Tyrimas atskleidė, kad inovacijų kūrimas lemia telematikos įmonių konkurencingumą, tačiau per intensyvus jų srautas teigiamos grąžos nebegeneruoja.
Reikšminiai žodžiai: inovacijos, technologinės inovacijos, MTEP, telematika, konkurencingumas, koreliacinė analizė, porinė regresinė analizė.
Keyword : innovation, technological innovation, R&D, telematics, competitiveness, correlation analysis, regression analysis
This work is licensed under a Creative Commons Attribution 4.0 International License.
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