1,720,995 research outputs found
Click and drive Consumer attitude to product development: Towards future transformations of the driving experience
No full textPurpose – The purpose of this paper is to supply indications that may be useful in the process of
development of new products that fully exploit the value potential of Internet of Things (IoT) technologies in the automotive industry. To this aim, the authors investigate how applications of the IoT to smart vehicles are perceived by consumers and describe different ways to increase their satisfaction.
Design/methodology/approach – After a literature review focused on IoT and consumer behaviour in the automotive industry, the authors apply the Kano model to find the drivers for achieving customer satisfaction with new product developments in smartcars.
Findings – Automotive companies need to consider what is attractive to drivers and what consumers consider to be “driver-friendly”. Using an empirical analysis, the authors highlight the motivations for developing a smartcar to fits the expectation of Italian drivers.
Research limitations/implications – While the global framework given by this paper can be useful
in all contexts, the empirical part is based on the Italian consumer. Further research may extend the application of the model to other countries to improve the generalizability of the results.
Practical implications – This study supplies an analysis of qualitative data that may prove useful
to researchers and managers in planning their strategic and operative activities with the aim of
improving the development of IoT-related products in the automotive industry.
Originality/value – This paper fulfils the need for an original research framework that sheds light on relevant insights and gives useful hints on the development of IoT technologies in the automotive sector.
Paper type Research pape
Social responsibility and ethical issues about smart technology usage
No full textThe new forms of smart and artificial intelligent technologies present a great risk to the society (political – ethical challenge). For this reason, the ability of the society's decision makers to prepare an appropriate ethical response is needed. The paper is focused on the outline the main social, economic, and ethical issues, raised by the faster development of the smart and artificial intelligent products or services in everyday life processes. Smart technologies can today explore their environment, communicate with each other or with humans and help their users. The development and implementation of the smart technologies in the human environment is and it will be influenced by social and economic changes and opening new social and ethical problems in the near future, because smart technologies are now: (i) invading into the sensitive human areas and allow others to come easier for sensible private information in real time; (ii) causing job losses; (iii) replacing humans for tasks such as driving and more demanding (e.g. management of the industrial processes). The paper presents the issues of technology and human sciences. It is going for a complex subject which is quite often misrepresented, some of the fundamental concepts relating ethics in science and technology are recalled and clarified. At the conclusion of the paper social responsible model for implementation of the smart technology in human environment will be presented. The purpose of the model is to provide ethical and social norms and thus protect human before the socioeconomic changes caused with the high penetration of smart technologies in human everyday life
Primer izpeljave analize besedila v kvalitativni raziskavi
Full text linkV članku na podlagi kvalitativne raziskave prikazujemo primer načina analize in razlage besedila. V prvem delu se osredotočimo na teoretično opredelitev analitičnega orodja ter značilnosti analize in interpretacije besedil znotraj kvalitativne raziskave. V nadaljevanju na podlagi izsledkov (polstrukturiranih intervjujev in osebnih zapisov, opazovanja delovanja dveh mrež) prikažemo možnost analize in interpretacije dobljenih podatkov z uporabo analitičnega orodja tematske mreže
Impact of Corporate Social Responsibility on OTC Medicines Consumers
Full text linkIn the article is presented the case of trust-based marketing of over-the-counter (OTC) medicines. The relationship between the hypotheses was tested by means of structural equation modelling. The results of the first model show that the predictor variable (consumer satisfaction with safety and information) has a significant effect on the mediator variable (consumer trust). The results of the second model show that the consumer trust also has a significant effect on virtual brand loyalty (dependent variable). Model 3 was developed by including consumer perception of corporate social responsibility (CSR) and consumer trust as independent predictor variables and virtual brand loyalty as the mediator variable with the specific intention to determine whether the effects of consumer perception of CSR on virtual brand loyalty became insignificant or less significant. The results of Model 3 show a partial mediator effect of consumer trust regarding the relationship between consumer perception of CSR and virtual brand loyalty
Emergence of the Smart Society
Full text linkIn the 1990s, humankind experienced social changes that led to the emergence of the information society. It was a new form of social existence in which the primary role is to collect, store, analyze and pass on networked information. The article focuses on the emergence of the information society and its transitions into Society 5.0. This transition came in the context of digital individualism, and its consequences are visible in the transformations in civilizing urbanization.
The article represents a theoretical retrospective based on the systematic literature review of the existing scientific and professional literature on the current human challenges in a smart environmen
The importance of vision and mission for organisational development and growth
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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