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EN
The rapid development of technology is one of the major challenges of today’s organizations. The unprecedented capabilities offered by technology simultaneously create the demands of constant change and development of organizations themselves and their employees. For many years human-technology interaction in organization have remained in focus of interdiciplinary resarch, which resulted in several theories and models explaining technology acceptance. The aim of this paper is to present the state of the art in technology acceptance research and to introduce technology readiness theory (Parasuraman, 2000). Also the practical implications of technology readiness for human resources management will be discussed.
EN
Population aging has become an increasingly severe problem in recent years. Based on the diversity of the mobile functions, and the advanced mobile technology, the elders might use the modern mobile to get the conveniences of the elder’s living. In our study, 34 senior citizens in the UK, and 56 persons in Taiwan, students of the Evergreen Elder University, answered the questions. The compared results showed that the factor of personal or family dependence and technology dependence are dominant in the UK, but the factors of personal or family dependence and social dependence are dominant in Taiwan. Elders’ education will be a hot topic of education because of the increasing population of elders. The key variables, i.e. demographic, social, psychological, and technological ones, are satisfied to be the growth of elders’ education in many developed and developing countries. Based on the duties and resources of the religions and universities, a diversity of elders’ education can be expected.
EN
Theoretical background: Today, people use more systems and devices than ever, no matter the context. These behaviors are most often explained using technology acceptance models, including the unified theory of acceptance and use of technology 2 (UTAUT2), which is a new and prominent technology acceptance theory.Purpose of the article: The aim of this article is to identify any interpretable trends and draw overall conclusions about the existing UTAUT2 literature, which helps to fill the gap which is lack of such review for UTAUT2 model.Research methods: Descriptive review analysis of 23 articles based on the partial UTAUT2 model.Main findings: The UTAUT2 is an efficient theory – the average explained variance of behavioral intention was 62% and for use behavior – 37%. It is highly recommended to use the performance expectancy variable in all research contexts based on the UTAUT2 model. Utilitarian aspects turned out to be more important than hedonic ones for most technology adopters. Commercial organisations should focus on delivering reliable and useful products and underline these features in marketing communication.
EN
Theoretical background: One manifestation of the use of artificial intelligence technology in financial services is robo-advisory. Automated assistants are used in the area of communication with consumers and the sale of financial products. The development of robo-advisory services may contribute to increasing the availability of financial services and the cost efficiency of banks’ operations. So far, however, robo-advisory has not been widely used in bank services, and the reasons for this can be seen in the lack of wide acceptance of robo-advisory by bank customers, among other things.Purpose of the article: The aim of this paper is to identify barriers to the acceptance of robo-advisory in the services of banks operating in Poland. Variables relating to the demographic and socio-economic characteristics of consumers were analysed. Knowledge in this area can provide banks with a practical guideline for activities aimed at increasing acceptance of artificial intelligence technology and wider use of robo-advisory in financial services.Research methods: The paper uses the results of a survey conducted in October 2020 regarding the application of artificial intelligence technology in the banking sector in Poland. The survey included a representative sample of 911 Polish citizens aged 18–65. A multinomial logit model was employed to identify variables that represent significant barriers to robo-advisory acceptance in financial services.Main findings: The conducted research helped identify the barriers to acceptance of robo-advisory among consumers in Poland. A low propensity to use robo-advisory in bank services is characteristic of respondents from older age groups, as well as those who do not show a predilection for testing new technological solutions. Lack of experience in using investment advisory services and customer concerns about the misuse of personal data by banks are also significant barriers.
EN
Organizations are faced with increased competition in the war for talent, and their sustained competitive advantage may depend on the ability to attract suitable candidates. The gamification of HR recruitment processes can be one solution, as it creates employer brand awareness and enables candidates to better assess their fit with the organizational culture and job requirements. Based on a comprehensive literature review and through focus groups and qualitative content analysis, we develop guidelines for effective application design and implementation. Our findings are mirrored against UTAUT 2 theory and consolidated in a Model for Acceptance of Gamified Recruitment Elements. Results suggest that gamified recruitment is an effective option to support traditional recruitment processes in orienting candidates and companies about the individual employer fit, ultimately increasing the quality of applications and strengthening organizations’ talent pools. From the results, we derive guidelines on how to effectively implement design features.
PL
Cel: Celem artykułu jest analiza sposobu pomiaru postrzeganej przez konsumentów wartości do oceny akceptacji innowacji technologicznych. Metodyka badań: W artykule wykorzystano krytyczną analizę literatury przedmiotu. Wyniki badań: Porównano definicje i metody pomiaru postrzeganej wartości. Zidentyfikowano teorię wartości konsumpcyjnych oraz oparty na niej model PERVAL jako podejście oraz metodę pomiaru najlepiej przystosowane do badania wartości dla klienta innowacji technologicznych. Zaproponowano dalsze badania – sformułowano pytanie badawcze oraz wskazano autorski model akceptacji innowacji technologicznych czerpiący z teorii postrzeganej wartości. Wnioski: W badaniach akceptacji innowacji technologicznych użyteczna jest konceptualizacja postrzeganej wartości jako różnicy pomiędzy korzyściami a kosztami w ramach czterech wymiarów wartości: funkcjonalnego, emocjonalnego, społecznego i monetarnego. Wkład w rozwój dyscypliny: Analiza porównawcza koncepcji postrzeganej wartości i identyfikacja podejścia odpowiedniego w badaniach postrzeganej wartości innowacji technologicznych.
EN
Objective: The purpose of the article is twofold. Firstly, it aims to analyse the methods of measuring perceived value in the context of accepting technological innovations. Research Design & Methods: The article is based on a critical analysis of the literature. Findings: A comparison was made between the definitions and methods of measuring perceived value. The theory of consumer values and the PERVAL model based on it were identified as the approach and measurement method best suited for testing the perceived value of technological innovations. Implications / Recommendations: It is useful to conceptualise perceived value in terms of acceptance of technological innovations as the difference between benefits and costs within four dimensions of value: functional, emotional, social and monetary. Contribution: A comparative analysis of the concept of perceived value and identification of an approach appropriate for researching the perceived value of technological innovations.
PL
Celem artykułu jest identyfikacja kluczowych czynników wpływających na intencję użycia urządzeń mobilnych w procesie kupowania produktów (INT) wśród polskich konsumentów. W związku z powyższym zmodyfikowano model UTAUT2 rozszerzając go o zmienną indywidualna innowacyjność (II) i usuwając zmienne, które nie były istotne statystycznie w poprzednich badaniach przeprowadzonych w Polsce. Dodatkowo sprawdzono wpływ dwóch zmiennych moderujących – płci i doświadczenia w korzystaniu z mobilnego Internetu. Analiza danych została przeprowadzona z użyciem częściowej metody najmniejszych kwadratów (PLS-SEM). Grupa respondentów liczyła 256 studentów z trzech miast (Białegostoku, Gdańska i Łodzi). Zgodnie z wynikami, oczekiwana wydajność (WYD) jest najsilniejszą determinantą INT. Hedonistyczna motywacja (HM), nawyk (NAW) i indywidualna innowacyjność również okazały się istotnymi statystycznie predyktorami INT.
EN
This paper identifies the most important factors affecting the use of mobile devices during shopping. For this purpose, the UTAUT2 model was expanded with individual innovativeness (II) and the variables that were not statistically significant in the previous studies conducted among Polish mobile consumers were removed. Additionally, influence of two moderating variables – namely gender and experience in using mobile Internet was checked. The data analysis was conducted with the partial least squares method (PLS-SEM). The group of respondents consisted of 256 students from three Polish cities (Bialystok, Gdansk, and Lodz). According to the results, the performance expectancy (PE) was the strongest determinant of the intention to use mobile device in the buying process (INT). Hedonic motivation (HM), habit (HAB) and individual innovativeness were also statistically significant predictors of INT.
RU
Цель работы заключалась в выявлении основных факторов, влияющих на намерение применить мобильные устройства в процессе покупки продуктов (НАМ) среди польских потребителей. В этой связи видоизменили модель UTAUT2, расширяя ее переменной индивидуальная инновационность (ИИ) и удаляя переменные, которые не были статистически существенны в прежних исследованиях, проведенных в Польше. Дополнительно проверили влияние двух модерирующих переменных: пола и опыта в пользовании мобильным интернетом. Анализ данных провели, применяя частичный метод наименьших квадратов (PLS-SEM). Группа респондентов насчитывала 256 студентов из трех городов (Белостока, Гданьска и Лодзи). В соответствии с результатами, ожидаемая производительность (ПРО) – самый сильный детерминант НАМ. Гедонистическая мотивация (ГМ), навык (НАВ) и индивидуальная инновационность тоже оказались статистически существенными предикторами НАМ.
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