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Purpose The implementation of high performance computing (HPC) in business (especially small and medium-sized enterprises) is accompanied with mistrust to a certain extent, which has imposed the need for building of digital trust (DTrust) among stakeholders. The purpose of the present paper is to find out the ways on how to build and maintain such trust. Design/methodology/approach Analysis and critical reflection on previous research dealing with phenomena of digital transformation (DT), HPC, corporate digital responsibility (CDR) and DTrust have enabled the authors to design their own conceptual model as the answer to the research questions of how, and in what way, CDR influences DTrust. Findings The authors have determined that the previous researches pointed to the existence of the correlation between CDR and DTrust although they did not elaborate on this explicitly. It was shown that the DT itself directly influences trust and sustainability. The indirect influence DT has via CDR was the task the authors undertook through designing a new conceptual model within whose frame the authors separately presented the influence of total CDR on DTrust as well as of the specific CDR dimensions on the particular dimensions of DTrust. Originality/value The authors tried to offer the conceptual model that exactly determines the relation of individual dimensions of the processed phenomena by analyzing theoretical and empirical researches carried out so far, and eo ipso shed more light on their mutual relation. The authors firmly believe that this paper offers a useful frame for further empirical researches.

Background and purpose: The transformation to Industry 4.0 increases the number of robots installed within industries, which brings great shifts in industrial ecosystems. For this reason, our research goal was to analyze the key performance indicators to investigate the economic and social sustainability of the changes in production.Methodology: The combination of official (World Bank, U.S. Bureau of Labor Statistics) and publicly available (Federal Reserve Economic Data, Industrial Federation of Robotics) data was used for statistical data processing, including comparison, correlation, cross-correlation and vector autoregression analysis, to present the past developments and also to predict future trends within the U.S. manufacturing sector.Results: In contrast to robust industry robotization observed in the 2008–2018 period, the share of manufacturing output and employment declined. Nonetheless, the vector autoregression model forecast shows, that the U.S. manufacturing sector has arrived at a turning point, after which robotization can increase employment and labor productivity of workers, while also stimulating further growth of their education levels.Conclusion: The transition to Industry 4.0 has a major impact on increasing demands for new knowledge and skills for increased productivity. Accordingly, forecasted growths of analyzed manufacturing indicators suggest that negative impacts of robotization in the recent past were only temporary, due to the entrance to the Industry 4.0 era. Nonetheless, additional policies to support sustainable industry development are required.

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SAŽETAK:Model prihvaćanja tehnologije i njegovo proširenje vodeći je teorijski obrazac u istraživanju korisničkog usvajanja pametnih tehnologija općenito pa tako i u ugostiteljstvu i turizmu. U istraživanju je korišten prilagođeni model korisničkog prihvaćanja tehnologije na prihvaćenost novog koncepta digitalne vinske karte i jelovnika u hotelskim restoranima u Hrvatskoj i Srbiji. Rezultati 406 samoispunjujućih upitnika dobiveni su metodom modeliranja strukturnih jednadžbi. Analiza rezultata pokazala je da subjektivni dojam o lakoći korištenja i korisnosti te osobni užitak objašnjava znatna odstupanja u namjeri ponašanja korisnika o povratku u restoran i/ili širenju pozitivne usmene predaje kao i doživljene kvalitete usluge. Dojam rizika povezanog s korištenjem tehnologije imao je zanemariv utjecaj na dva rezultata u fokusu ovog istraživanja koji potvrđuju i proširuju prethodna istraživanja o korisničkom prihvaćanju tehnologije u ugostiteljskom sektoru. Analiziraju se implikacije ovih rezultata za menadžere te se predlažu smjernice za buduća istraživanja.KLJUČNE RIJEČI: restoranski jelovnik, digitalni jelovnik, vinske karte, hotelski restorani, model prihvaćanja tehnologije, zadovoljstvo korisnika ABSTRACT: The technology acceptance model and its extensions have been the leading theoretical paradigm in explaining users' acceptance of smart technologies, including in the hospitality and tourism industry. This study applied a modified technology acceptance model to customer acceptance of a novel digital wine menu application in hotel restaurants in Croatia and Serbia. The results of a self-report survey of 406 respondents analysed using partial least squares structural equation modelling indicated that the perceived ease of use, perceived usefulness and perceived enjoyment explained a substantial proportion of the variance in customers' behavioural intention to return to the restaurant and/or spread positive word-of-mouth, as well as perceived service quality. The perceived risks of using the technology had a negligible impact on the two outcomes of interest. The results confirm and extend previous research on customers' technology acceptance in the hospitality sector. The managerial implications of these findings and suggestions for future research are discussed.