The current COVID-19 pandemic has changed the world on irreversible way towards digitalization. It has changed people’s attitude and behaviour towards online shopping, leading to global e-commerce unprecedented growth. The pandemic crisis accelerated an expansion of e-commerce worldwide, but impacted it in different ways. The progress varies between developed and developing countries, as well as between different industries. The biggest increase in online shopping is evident in food and daily use products category, especially during lockdowns. Despite the cross-country difference of e-commerce growth, the e-commerce in North Macedonia has increased at high rates as a result of COVID-19 with evident increase in online food purchasing. The goal of this study is to analyse which factors affect young consumer intention to buy food online during COVID-19. In order to get insights regarding the young consumer behaviour towards online food purchasing in the country, a survey was conducted among more than 150 young people during April and May 2021. This study examines the crucial factors encouraging young consumers to use online food delivery channels on the basis of the extended Technology Acceptance Model (TAM), including the following constructs: perceived ease of use, perceived usefulness, attitude towards using, actual use and website trust. The analysis revealed that perceived usefulness, perceived ease of use, and website trust are important drivers of attitude towards online food purchasing. Attitude towards online food purchasing has the highest positive and statistically significant impact on the Intention towards online food purchase. This research provide relevant theoretical and practical implications by confirming that the above factors are critical in attitude towards online food purchasing in a developing country context.

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Electronic Government, a fully refereed journal, publishes articles that present current practice and research in the area of e-government. Contents: EG publishes original and review papers, technical reports, case studies, conference reports, management reports, book reviews, and notes, commentaries, and news. Contribution may be by submission or invitation, and suggestions for special issues and publications are welcome. • High quality papers to keep readers at the forefront of the latest thinking and research in e-government. • Case studies and practical applications to illustrate e-government design, development, management and implementation.

The expansion of the digital economy and the rapid developments of technology induced the creation of new products and industries and drove a significant increase in data resources. The information products industry, including products based on data, information and knowledge, is intensely dynamic in terms of growth and the pace of new product introduction. The complexity in the variety of product offerings and the number of firms offering those products in this industry is increasing exponentially every day. Data-driven innovation forms a key pillar in the 21 century sources of growth. Large data sets are becoming a core asset in the economy, fostering new industries, processes, and products and creating significant competitive advantages (OECD, 2015). The past two decades have brought several reconfigurations of the information and knowledge economy. The recent technological breakthroughs have driven the emergence and the exponential growth of a digital economy with vast data assets. The changes have been accompanied by ongoing attempts to make sense of all the data through the use of analytics. Analytics add substantial value to intangible assets by making them easier to understand and apply. In a world in which information alone has become ubiquitous and somewhat commoditized, analytics provide a means of making information more useful and valuable. In this paper, we focus on new analytical capabilities and data assets that together form value-added information product offerings and new possibilities for emerging markets. These offerings are often called data products. In general, a data product is digital information that can be purchased. Data products incorporate data science into the operation of a product or service, using data in smart ways to provide value. In research, a data product is a large data set in a format that requires little or no processing or programming. Typical data products are predictive, descriptive or prescriptive models, as well as insights. The future of new product development reflects both developing new innovative products and data driven products typical for emerging markets that are large economies. For any organization, there is not only revenue, but competitive advantage to be gained in developing data products and new innovative products. Creating an effective development process for data products requires following well-established steps and data analytics helps adding a few new ones, which are explained in the paper. Further, this paper will focus on three important decisions for innovative process: decision 1- key enablers of emerging market innovation (R&D capability, market opportunity and executive champions), decision 2 - what product to develop (market need, portfolio fit, and product-capability fit) and decision 3 - how to develop the product (the decision matrix and bootstrapping). Organizations can follow several approaches to monetize their data like improving internal business processes and decisions, focusing information around core products and services, and selling information offerings to emerging and existing markets. Few remarks for our country will be made as further paths of development.

Followed by the mobile technology development and high rate of mobile internet usage worldwide, mobile banking has become prominent technological innovation in the banking sector giving a competitive edge over traditional banking. Smartphones and mobile technologies are becoming increasingly available and affordable in North Macedonia in recent years, and many banks are providing banking services to customers via smartphones. The adoption of mobile banking in the country has not reached its full potential yet and has been at its early stage of adoption. However, not many studies investigate determinants of mobile banking adoption which may help banks to design more suitable mobile services for customers and increase the m-banking adoption in the country. This study is the first attempt to fill this gap by examining determinants that affect consumer intention to use mobile banking services in the country, as developing country. To get insights regarding the user adoption of m-banking services in the country, a survey was conducted among more than 150 mobile users. This study proposes a mobile banking user adoption research model based on the Technology Acceptance Model (TAM), and beside basic constructs (perceived ease of use, perceived usefulness and behavioral intention to use) it integrates social image, trust and risk that are specific for mbanking. The results of the empirical study are supporting the proposed basic constructs of the model and some specific relationships are unveiled. This research is a holistic approach representing a solid base for future studies on the adoption of new technologies in the country. Its originality and practical implications are reflected in determining the significance of additional constructs that are specific for m-banking. From practitioner’s viewpoint, this research offers valuable insights for developing m-banking solutions.