rss_2.0Management & Marketing FeedSciendo RSS Feed for Management & Marketinghttps://sciendo.com/journal/MMCKShttps://www.sciendo.comManagement & Marketing Feedhttps://sciendo-parsed.s3.eu-central-1.amazonaws.com/660652151ae47050093cda21/cover-image.jpghttps://sciendo.com/journal/MMCKS140216The Greek economic crisis and its impact on the national health systemhttps://sciendo.com/article/10.2478/mmcks-2024-0005<abstract><title style='display:none'>Abstract</title> <p>The Greek economic crisis produced severe economic and social outcomes. A massive rescue package was conditional on implementing a Memorandum of Economic and Financial Policies agreed upon between the Greek government and the EU, European Central Bank, and the International Monetary Fund. The extremely austere fiscal consolidation and the structural reforms accompanying the Greek Economic Adjustment Programmes reduced the country’s GDP. Implementing the austerity policies on the Greek National Health System, which was already facing structural problems, reduced the quality and availability of public health care services. This paper investigates the impact of the GDP change on public healthcare expenditures (HCE) from 2000 to 2018. The empirical analysis reveals a statistically significant positive correlation between the GDP per capita and public healthcare expenditure (HCE) from 2000 to 2014 while the effect of GDP on HCE after the 2015 remains unchanged. This paper contributes to the field’s literature since it determines the impact of GDP on public HCE, specifically matched with empirical results to derive conclusive answers.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2024-00052024-03-29T00:00:00.000+00:00Positive emotions influencing consumer shopping behavior on e-commerce platformshttps://sciendo.com/article/10.2478/mmcks-2024-0002<abstract><title style='display:none'>Abstract</title> <p>E-commerce has become an integral part of people's daily lives due to the extensive use of the Internet. Moreover, customers' positive emotions are the good feelings that a person has because of their mood or good circumstances. These can include happiness, love, liking, pleasure, or joy. This study proposes to provide an analytical framework that includes factors (sales promotion, hedonic shopping motivation, and personalization) that affect positive emotions, which in turn affects the customers' intentions to make purchases and their actual behavior within the context of e-commerce platforms. This study used the cognitive emotion theory and emotion-action tendency connection as a theoretical framework. Convenience sampling was used in an online survey to collect data from 294 clients. The findings discovered that consumers' positive emotions in e-commerce platforms in Vietnam were affected favorably by key factors such as sales promotion (β = 0.502), hedonic shopping motivation (β = 0.217), and personalization (β = 0.207). Out of these factors, sales promotion (β = 0.502) was found to have the most favorable impact on customers' pleasant feelings. In the same way, customers' pleasant emotions (β = 0.758) had a strong positive influence on their inclination to shop. Furthermore, their shopping intention (β = 0.822) also had a considerable positive influence on their behavior. The study's results may help online retailers fully understand the determinants that affect customers' pleasant feelings, shopping intentions, and behavior. With this knowledge, online stores will be able to improve how they sell products.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2024-00022024-03-29T00:00:00.000+00:00Migration of health workers: key findings from Romaniahttps://sciendo.com/article/10.2478/mmcks-2024-0001<abstract><title style='display:none'>Abstract</title> <p>The migration of medical staff results in the diminution of human resources in the health sector, undermining the capacity of developing countries' health systems to provide medical services equitably. Various factors, such as economic, professional, political, social, or personal considerations, contribute to the decision of health workers to emigrate. This paper's primary objective is to analyze the prevailing trends in the migration flows and stocks of physicians and nurses, with a focus on identifying the principal pull factors of migration. The preferred destination countries for Romanian health professionals include the UK, Germany, France, and Italy. Notably, Germany stands out as a leader in health care professionals' migration flows, characterized by two distinct migration periods: the first featuring exceptionally high levels of physician migration and the second marked by increasing levels of nurses' migration. Through panel data regression analysis, we have established that the pull factors for physicians differ from those for nurses. For physicians, the presence of a Romanian community of health professionals in the destination countries is crucial, whereas for nurses, the development level of the destination country holds top importance.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2024-00012024-03-29T00:00:00.000+00:00Resistance to technological innovation and brand equity in the banking sectorhttps://sciendo.com/article/10.2478/mmcks-2024-0006<abstract><title style='display:none'>Abstract</title> <p>Consolidating strategies in the banking sector to reduce the impact of resistance barriers to technological innovation can bring brands closer to older people, thus reinforcing the brand value of banking institutions; therefore, the objective of this research was to identify the incidence of resistance barriers to technological innovation on the dimensions of brand equity in the banking sector by elderly people. For this purpose, a descriptive correlational study was developed with 502 elderly people living in the city of Bogotá, Colombia, aged between 60 and 80 years old. Data collection was carried out using a questionnaire applied in person, which was adjusted and validated based on the information obtained. The questionnaire assessed brand equity components of brand image and awareness, brand associations, perceived quality and performance, and brand loyalty, and included items to assess psychological and functional barriers. A confirmatory factor analysis and structural equation modelling were developed for the different barriers of resistance to technology and for the dimensions of brand equity, identifying that the different types of resistance to innovation affect only the dimensions of brand awareness and brand importance. The results lead to the conclusion that elderly people experience different barriers to using the technological applications of their banking products and that the design of these applications must consider them in order to achieve or maintain brand recognition in this segment, as well as to achieve true financial inclusion for elderly people.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2024-00062024-03-29T00:00:00.000+00:00Psychological harassment at work in Hungary and Slovakiahttps://sciendo.com/article/10.2478/mmcks-2024-0004<abstract><title style='display:none'>Abstract</title> <p>Bullying, harassment, and sexual harassment in the workplace are not new issues; they have always existed in various forms. Recent studies have highlighted their impacts on workers and their well-being at work. However, the perception of these problems differ across the United States, Europe, and Asia. These differences are reflected not only in terms of sensitivities, workplace policies, and relevant laws, but also in the language/vocabulary used to designate the same. Psychological harassment is a bitter issue for many who are affected by it. Unfortunately, it remains a less popular topic in academic research. This may be due to the sensitivity associated with the topic, the possible shame and value judgements of those involved, and the myriad cultural differences that complicate its perceptions. This study deals with the characteristics of psychological harassment in workplaces across Hungary and Slovakia. It addresses the following questions: How are the sources of psychological bullying perceived in the two countries, how do victims tolerate the abuse they are subjected to, and what factors influence the same. The study also examines whether the company’s tools for combating psychological bullying in the workplace have an impact on an employee’s decision to leave the organization as a result of mobbing. It conducted quantitative surveys involving 500 Hungarian and 108 Slovakian employees. The results were analyzed by the authors using SPSS version 28 with univariate and multivariate statistical methods. Frequency analysis, ANOVA, T- test and factor analysis, among others, were performed. The results show that the perception of the sources of psychological bullying and the tolerance of the related phenomena depend on a number of personal factors. However, the tools that firms use to deal with mobbing do not necessarily play a determining role in an employee’s decision to leave their workplace following psychological harassment.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2024-00042024-03-29T00:00:00.000+00:00Managing big data and blockchain for enterprise internationalization process: Mediating role of dynamic accounting system capabilityhttps://sciendo.com/article/10.2478/mmcks-2024-0007<abstract><title style='display:none'>Abstract</title> <p>This study develops and confirms a model that examines the relationship between Big Data Analytics Capabilities (BDAC), Blockchain Technology (BT), and Internationalization Process (IP). It also requires various efforts to explore how Dynamic Accounting Information System Capability (DAISC) mediates the interconnections between BDAC, BT, and IP. This study focuses on small and medium enterprises (SMEs) in Vietnam, which are widely recognized as crucial to the Vietnamese economy. The current research utilized the hypothetico-deductive method. The proposed model's hypothesized linkages were based on a comprehensive evaluation of relevant literature and investigations. The statistics database was created using a paper-and-pencil survey distributed to 612 accountants in SMEs in southern Vietnam utilizing the convenient and snowball sampling technique. A covariance-based structural equation modelling approach was used to assess the measurement and structural models in this research due to its ability to offer a strong foundation for analyzing intricate linkages within a research framework. The outcome confirmed the significant and positive relationships between BDAC, BT, and IP. Concurrently, these relationships were partially influenced by DAISC. The practitioners would greatly benefit from detailed insights on the findings, as they would provide guidance on how to identify and take advantage of the growth opportunities afforded by digital technology. Moreover, the observations could provide policymakers with new insights on necessary policy measures to support the application of digital technologies and encourage the implementation of a dynamic accounting information system, which could result in significant benefits in the future.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2024-00072024-03-29T00:00:00.000+00:00Fostering sustainable entrepreneurial intention: the role of institutional factorshttps://sciendo.com/article/10.2478/mmcks-2024-0003<abstract><title style='display:none'>Abstract</title> <p>Sustainable entrepreneurship (SE) is crucial in achieving the 17 sustainable development goals (SDGs). However, many micro-, small- and medium enterprises (MSMEs) in Malaysia are still considered conventional businesses; therefore, it is necessary to transform them into sustainable enterprises. The initial step is to build up their intention towards SE. However, studies pertaining to SE intention are still considered low. Therefore, this study examined the influence of institutional factors on SE intention among Malaysian MSMEs. The institutional model was employed in identifying the influencing factors, namely governmental actions, social norms, and time orientation. A quantitative research method was employed. The sample was selected using proportionate stratified sampling. A total of 342 owner-managers of manufacturing MSMEs were surveyed using an online self-administered questionnaire. The collected data was analyzed through partial least squares-structural equation modeling (PLS-SEM). The results revealed that governmental actions, social norms, and time orientation were significant in influencing SE intention positively. It could be concluded that components in the institutional model should not be neglected in fostering SE intention. This study shed light on the applicability of institutional theory in studying SE intention and pointed out the crucial factors that should be taken into consideration when encouraging MSMEs to embark on SE.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2024-00032024-03-29T00:00:00.000+00:00Mapping and modelling the main determinants of Migration Flows at the NUTS2 Level in European Union using Spatial Data Analysis Techniqueshttps://sciendo.com/article/10.2478/mmcks-2023-0032<abstract> <title style='display:none'>Abstract</title> <p>Spatial data analysis approaches have grown in popularity in recent years as there has been an increased interest in studying migration at the regional level. We employed in our analysis the Nomenclature of Territorial Units for Statistics (NUTS) level, which offers a more thorough view of migratory patterns inside a nation as well as among EU countries.Using spatial data analytic tools, this research aims to investigate the key determinants of international migration at the NUTS2 level. Using data from the Eurostat database, we undertake an extensive analysis of migration movements in a sample of European Union countries. We apply spatial econometric models to examine the relationship between crude rate migration and other relevant variables as independent variables. Although the available data at the NUTS2 level of regional ranking are limited, we believe that we included the most comprehensive set of relevant variables in our analysis.Our study contributes to the existing literature on migration determinants by highlighting the importance of spatial analysis techniques in understanding migration factors at the NUTS2 level.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00322024-01-02T00:00:00.000+00:00Dynamic Capabilities and Their Effect on Organizational Resilience in Small and Medium-Sized Commercial Enterpriseshttps://sciendo.com/article/10.2478/mmcks-2023-0027<abstract> <title style='display:none'>Abstract</title> <p>The organizational environment often experiences turbulence, resulting in increased complexity in maintaining a foothold in the market. Consequently, dynamic capabilities play a crucial role in fostering organizational resilience. Given the substantial impact that organizations faced during the COVID-19 pandemic, this study aims to assess the influence of dynamic capabilities on the organizational resilience of small and medium-sized enterprises (SMEs), with the objective of identifying the factors that contribute to organizational survival. Using Covariance-Based Structural Equation Modeling (CB-SEM), this research examined 216 SMEs operating within the commercial sector of Mexico. The findings revealed a positive and significant impact of most dynamic capabilities, detection, absorption, coordination, and innovation on organizational resilience. Notably, the integration capability exhibited the weakest influence on the dependent variable. In contrast, the innovation capability emerged as the most influential factor for SMEs in bolstering organizational resilience.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00272024-01-02T00:00:00.000+00:00An analysis of the perceptions regarding the traditional versus alternative educational systemhttps://sciendo.com/article/10.2478/mmcks-2023-0031<abstract> <title style='display:none'>Abstract</title> <p>This paper presents an analysis of the perceptions surrounding the traditional and alternative educational systems. The aim of this study is to explore the various perspectives and attitudes towards these two approaches to education, considering their strengths and weaknesses. The analysis draws upon a comprehensive review of existing literature, examining both empirical research and theoretical frameworks. The data was collected with a questionnaire and a logistic regression equation was estimated with the help of SPSS 23 statistical software. The variable of interest was education system (traditional and alternative) and the independent variables were the following attributes: main benefits, capability, growth mindset, gender, age and degree. The findings reveal a wide range of perceptions and opinions, with proponents of the traditional system emphasizing its long-standing effectiveness and familiarity, while supporters of alternative approaches highlight their adaptability and potential for innovation. The paper concludes by discussing the implications of these perceptions for policymakers, educators, and students, and suggests avenues for future research.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00312024-01-02T00:00:00.000+00:00Who are Portuguese followers of social media influencers (SMIs), and their attitudes towards SMIs? An exploratory studyhttps://sciendo.com/article/10.2478/mmcks-2023-0030<abstract> <title style='display:none'>Abstract</title> <p>Influencers serve as crucial role models, influencing the behavior, aesthetics, and ideologies of their followers. This cross-sectional study aims to explore the perspectives of Portuguese social media users toward influencers. Data were collected through a self-administered questionnaire from 759 participants obtained through snowball sampling. The majority (75.5%) were female, averaging 26 years in age. Descriptive statistics, mean comparisons, and correlations were utilized for analysis. Portuguese followers of social media influencers, primarily consisting of young women with lower formal education, are active on platforms like Facebook, Instagram, and Youtube. They spend considerable time on social media, engaging with influencers through actions such as liking or tagging friends. Fashion and beauty influencers are particularly favored. Followers value influencers who interact with them, appreciate personal posts and disclosures, and form parasocial relationships with influencers. While many express a willingness to purchase products promoted by influencers, a noteworthy portion hasn’t made such purchases. Participants express uncertainty about the guaranteed quality of products endorsed by influencers, yet 36.5% acknowledge the significance of influencers in discovering new products or trends.This study provides valuable insights for influencers and brands targeting a specific audience. It also underscores potential concerns for followers, emphasizing the link between excessive social media use and problematic behavior.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00302024-01-02T00:00:00.000+00:00Pioneering Eco-Cart: Carbon Reduction Solutions for Thai Online Shoppershttps://sciendo.com/article/10.2478/mmcks-2023-0028<abstract> <title style='display:none'>Abstract</title> <p>This research aims to identify effective strategies for reducing carbon emissions in online shopping by examining the perspectives of Thai consumers and utilizing sociodemographic data to anticipate their choices for carbon mitigation. The study encompasses eco-logistics, last-mile innovations, and responsible consumer behavior. Data collected from a questionnaire gathered responses from 800 participants across diverse regions, resulting in a 96.50% response rate. Using a multinomial logit model in Stata 15, the analysis reveals factors influencing consumer decisions. Eco-logistics is the preferred choice for 35.74% of individuals aiming to reduce carbon emissions from online shopping. Regular purchases of clothing and shoes correlate with a 46% higher likelihood of selecting eco-logistics, while responsible purchasing shows a 33.03% adoption rate. Last-mile innovations, chosen by 31.23%, appeal to higher-income individuals, while women, older age groups (46+), and those with higher education lean toward eco-logistics. Higher education enhances responsible purchasing, influenced by critical thinking, income, and professional networks. Additionally, suburban consumers prefer eco-logistics due to longer distances, while urban residents opt for last-mile innovations. Addressing these challenges facilitates environmentally conscious practices in the e-commerce supply chain, providing insights for policymakers and businesses to formulate sustainable and equitable strategies.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00282024-01-02T00:00:00.000+00:00Hallyu in the Heart of Europe: The rise of the Korean Wave in the digital spacehttps://sciendo.com/article/10.2478/mmcks-2023-0029<abstract> <title style='display:none'>Abstract</title> <p>Hallyu, the global cultural phenomenon that is also known as the Korean Wave affects its fans in terms of both their openness to Korean culture and their purchase intentions. Despite this, research into the psychological mechanism behind it is lacking. The aim of this study is to discover a) the relationship between Hallyu culture and the psychological factors associated with interpersonal relationships mediated through digital platforms; and b) the psychological factors that contribute to one’s Korean Wave related purchase intention. The survey was conducted using an online questionnaire. Using a purposive sampling method, the core population of the survey consisted of Hallyu fans in Hungary, who were reached through various, Korean culture-specialised social media groups. Data from 495 eligible respondents was analysed using the PLS-SEM method with SMART PLS3 software. It can be concluded that fear of missing out (FOMO) and self-pressure to be member of fandom inspire presence in the online space, which can increase purchase intention towards K-goods, Results shows that the examined psychological elements have the greatest impact on two age groups (20-23 and 30-43 years old); however, due to its higher level of income and already established living circumstances the second group can respond to marketing activities to a greater extent. It has also been determined that the level of fandom involvement has a positive effect on purchase intention, something which can be further enhanced by FOMO and peer pressure. Based on the correlations identified, more effective marketing activities can be planned among fans through social media and influencers in fan groups.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00292024-01-02T00:00:00.000+00:00Systematic Review of Cashierless Stores (Just Walk Out Stores) Revolutionizing The Retailhttps://sciendo.com/article/10.2478/mmcks-2023-0023<abstract> <title style='display:none'>Abstract</title> <p>The paper aims to examine the evolving retail sector in recent years, specifically how digitalisation and technological innovations have transformed it. All actors have had to adapt to remain competitive. Notably, a new innovation in the retail sector, namely the checkout-free or cashierless store, emerged in 2018. Systematic literature is relied upon to achieve the study's objectives. The significance of this study lies in the use of multiple IT tools such as AI, cameras, sensors, and self-organising shelves to replace human intervention in the retail sector. Globally, several startup companies have developed this new unmanned solution, and Amazon Go stands out as one of the most well-known among them. The primary objective of this pioneering concept is to enhance efficiency by saving time and reducing queues. The aim is to enable customers to enter and exit the store with minimal human contact as quickly as possible. This paper presents the recent trend of the cashierless concept, its evolution, and proliferation. A systematic literature review and data analysis from the Crunchbase Database were conducted. The findings demonstrate that this recent concept is altering both consumers’ purchasing behaviours and companies’ business models. This paper provides novel perspectives and insights into the wider literature on cashierless concepts and smart retail in the context of digital business.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00232023-12-18T00:00:00.000+00:00Does the gender of hospitality employees affect the definition of wages in Spain?https://sciendo.com/article/10.2478/mmcks-2023-0024<abstract> <title style='display:none'>Abstract</title> <p>Analysing gender differences in key industries is one of today's priorities to achieve a more egalitarian society. In hospitality, the classic approach is through Mincerian regressions or wage decompositions. This paper addresses this issue through Partial Least Squares Structural Equation Modelling (PLS-SEM) and Importance-Performance Map Analysis (IPMA). The results confirm and measure the relations between Human Capital, Labour Conditions, Market, and Wages, and examine the relative importance and performance of each indicator in explaining Wages. Therefore, there are narrow gender differences, and measures are suggested. The main limitation lies in the design of the constructs. This article contributes to the literature by providing an alternative analysis.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00242023-12-18T00:00:00.000+00:00Efficiency of urban development: gaps in continental profilehttps://sciendo.com/article/10.2478/mmcks-2023-0021<abstract> <title style='display:none'>Abstract</title> <p>International authorities such as the European Commission and the United Nations pay special attention to sustainable urban development, for this purpose, strategies such as the European Green Deal or the Sustainable Development Strategy 2030 agenda, SDG 11 Sustainable cities and communities are developed. Urban development represents a fundamental direction in the transition process towards the green economy, a sustainable economic model. The paper aims to identify the degree of efficiency of economic development in the context of sustainable development for 41 cities in Romania, Germany, Japan, United States of America and Australia. To achieve this objective, the Data Envelopment Analysis (DEA) method is used, with the aim of identifying the gaps regarding the sustainability of the analyzed cities. Data Envelopment Analysis allows the evaluation of the efficiency of urban settlements in the sample based on representative variables, selected as input. So, the research is ready to give answer to question like “What are the efficient cities in terms of sustainability?” and “What are the relationships between the cities included in the sample?”. The main results showed that there are cities that have a model of sustainable economic development, but certain cities present significant gaps from the point of view of efficient sustainable economic development. In addition, port cities seem to develop an association relationship, with inefficient port cities being associated with efficient port cities.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00212023-12-18T00:00:00.000+00:00Student engagement and academic performance in pandemic-driven online teaching: An exploratory and machine learning approachhttps://sciendo.com/article/10.2478/mmcks-2023-0017<abstract> <title style='display:none'>Abstract</title> <p>Fostering student engagement to acquire knowledge and achieve academic performance requires understanding how students engage in learning and its influence on academic achievement. This provides valuable insights that help improve learning experiences and outcomes. The paper relies on a mixed methods approach by expanding the traditional dimensions of student engagement and by employing a machine learning framework to identify which specific dimension of student engagement exhibits the main impact on student academic achievement. A questionnaire-based survey is conducted for the period 2020-2021 among a cohort of Romanian students. The outcomes of this preliminary exploratory analysis are further embedded into a machine learning framework by performing a LASSO regression. The findings reveal that the most relevant dimensions of student engagement, during remote education, that contribute the most to outcomes were represented by the behavioural, social, cognitive, and emotional engagement dimensions. Furthermore, the switch to online education appeared to have inverted the positive relationship between social and cognitive engagement and academic achievement. Despite the inherent challenges, the student’s interest in class participation and homework completion was stimulated, and they managed to adapt without difficulty to study independently.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00172023-12-18T00:00:00.000+00:00Assessing the Evolution of the Energy Mix Worldwide, with a Focus on the Renewable Energy Transitionhttps://sciendo.com/article/10.2478/mmcks-2023-0020<abstract> <title style='display:none'>Abstract</title> <p>In the current context, the focus on optimizing energy distribution is intensified by high-impact events such as resource scarcity, import dependence, war, inflation, or environmental threats. As a consequence, international agencies have built extensive policies and targets that will reflect directly into the general energy distribution. One of the most crucial would be the 65% share of electricity that is bound to be generated from renewables until 2030. To study the feasibility of that goal, we will analyze the evolution of the energy mix worldwide in the last two decades, identifying the shift towards alternative energy sources, while also pinpointing the agents of change in terms of the low-carbon transition. The methodology will consist of a bootstrap clustering algorithm that has been computed for 3 moments: 2000, 2010, and 2020, generating clear differences in terms of energy distribution. In the second part of the paper, we have employed an ARIMA model that aims to predict the share of renewable energy by 2030, with the worrying conclusion that if the current rhythm continues, the goal will not be met and the climate could face severe consequences. Therefore, the paper significantly contributes to the methodological void in terms of bootstrap clustering applicability, while also illustrating a complete energy picture from a geographical and time perspective.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00202023-12-18T00:00:00.000+00:00The Type-2 Q-rung Orthopair CoCoSo method for Workplace Design Problems on the Metaversehttps://sciendo.com/article/10.2478/mmcks-2023-0018<abstract> <title style='display:none'>Abstract</title> <p>The development of technology is changing and transforming business models in the production and service sectors around the world. Especially in this age when the fourth industrial revolution is effective with different instruments such as artificial intelligence, internet of things, and cyber physical systems, the necessity of physical presence of people in the workplaces is gradually decreasing. Like many things developed in the virtual world, the virtual arrangement of workplaces is a very innovative undertaking. It is clear that the advantage of time and cost are the main reasons for the positive reception of the idea of workplace design in the metaverse environment. In this article, the criteria for workplace design in the metaverse environment of a company operating in the IT sector were examined and alternative metaverse platforms for workplace design using these criteria were evaluated. CoCoSo method based on the Interval Type-2 q-rung orthopair fuzzy sets is used in making the evaluations. Among the 6 criteria seen as important in the study, privacy and security, size and scale, and functionality were the three most important criteria. Among the alternative platforms evaluated, Rooom and Voxels are the first two platforms to be preferred.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00182023-12-18T00:00:00.000+00:00Digital transformation toward sustainable development in Vietnamese small and medium enterpriseshttps://sciendo.com/article/10.2478/mmcks-2023-0025<abstract> <title style='display:none'>Abstract</title> <p>Digital transformation is not just a fad, it is also a significant opportunity for businesses to streamline processes, provide customers with value, and boost productivity. The research was conducted to understand the impact of digital transformation on the firm performance of Vietnamese small and medium enterprises. The number of survey samples is 930 and the SEM method is used to process data using SmartPLS 4.0 software. Research results show that digital transformation has a positive impact on business performance. The research results also confirm the mediating role of digital innovation and the moderating role of CSR for customers. This study clarifies the connection between digital information and firm performance in Vietnamese small and medium-sized enterprises, diversifying the results of business performance analysis. Additionally, businesses can use the research findings as a springboard to develop strategies for deploying digital activities that contribute to sustainable development.</p> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/mmcks-2023-00252023-12-18T00:00:00.000+00:00en-us-1