The Link between HRM Practices and Performance in Healthcare: The Mediating Role of the Organizational Change Process.

The role of human resources as a change agent in the organizational change process holds great importance. Hence, it is crucial to identify ways human resources can support change. This paper investigates the direct and indirect relationships between human resource management (HRM) practices and organizational performance, as well as the mediating role of the organizational change process in these relationships. The proposed model integrates primary HRM practices, organizational change components, organizational performance, employee retention, and organizational abandonment. We collected data to evaluate the relationships between the model variables through a survey questionnaire applied to 441 Romanian employees in the healthcare industry. The paper used structural equation modeling to test the model's validity and hypotheses. The results show that HRM practices directly impact organizational performance and have a mediated impact through the organizational change process. Additionally, the direct and mediating effects are consistent, and healthcare employers consider appropriate HRM practices and effective management of the organizational change process as essential drivers to achieve superior performance. The empirical findings provide valuable insights for government policymakers, stakeholders, and health managers on how suitable HRM practices can influence organizational performance.

Assessing Users' Behavior on the Adoption of Digital Technologies in Management and Accounting Information Systems

The exponential trend of digital technologies, doubled by the mobility restrictions imposed during the COVID-19 pandemic, caused a paradigm shift in traditional economic models. Digital transformation has become increasingly common in all types of organizations and affects all activities. Organizations have adopted digital technologies to increase efficiency and effectiveness in management, marketing, and accounting. This paper aims to assess the impact of digital transformation on project management, marketing, and decision-making processes in users' perceptions. The study begins with theoretical research on the digitalization of management and accounting information systems and conducts an empirical investigation based on a questionnaire. First, the paper assesses users' perceptions of implementing digital technologies. The answers of 442 professionals from project management, marketing, and decision making were processed using structural equation modeling. The results show that users' acceptance of digitalization is higher in decision making due to the significant contribution of artificial intelligence in repetitive decision making. Project management and marketing also benefit from digitalization, yet non-repetitive activities remain mainly the responsibility of the human factor.

Assessing the Adoption of Mobile Technology for Commerce by Generation Z

E-commerce has gained momentum with the rapid development of technology, and nowadays, we are permanently connected, with constant access to information and a wide range of products. Not only does a desktop computer offer us this possibility, but the latest-generation tablets and mobile phones create a broad framework. This paper investigates Romanian consumers’ attitudes towards adopting mobile technology for commerce (m-commerce), taking into account its development in the last few years, especially among younger generations. The main objectives of the research are to identify the preference for m-commerce use among Generation Z, establish the ways and the devices used by Gen Z individuals to inform about the products and services and order them, and analyze the factors influencing the use of m-commerce applications. The research methodology consists of conducting an empirical analysis using a distributed survey among youngsters from Generation Z in Romania. We used descriptive statistics, such as the analysis of frequency and the mean of variables, artificial neural network analysis (ANN), and multivariate analysis of variance (MANOVA), to validate the hypotheses. The research results indicate a solid inclination for m-commerce among Generation Z. The results are helpful for companies that can shape their marketing strategies to boost their sales using m-commerce channels among the younger population.

Paradigm Shifting—The Use of Mobile Communications at Work and the Subsequent Effects

The physical distancing measures generated by the COVID-19 pandemic have forced companies to rethink employment patterns and to pay much more attention to the possibility of carrying out work through telework. The expansion of telework, a phenomenon that manifested itself even before the pandemic’s health crisis, has gained a particular momentum, changing how work is carried out. The main purpose of this paper is to study the main macroeconomic effects of the accelerated expansion of telework on the economic performance and the employment structure by the economic sectors of the workforce. Using artificial neural network analysis and structured equation modeling, the study highlights the significant influences of telework on economic performance and speeding up the transition service-based economy. The share of teleworkers has a significantly positive influence on economic performance. Moreover, the employees’ use of computers, mobile devices, and the internet has a strong mediation effect on the relationship between telework and employment in services. Given these considerations, teleworking is a phenomenon that will become a permanent feature of the future.

A Two-Stage SEM–Artificial Neural Network Analysis of Mobile Commerce and Its Drivers

The COVID-19 health and economic crisis has affected all areas of social life globally, including the economy. The world economy has declined due to purchasing power for individuals who have been forced to stay at home and cannot perform work. These restrictions to prevent the spread of SARS-Cov-2 have led to an increase in electronic commerce and mobile commerce as tools for procuring goods and services. In this paper, we conducted a longitudinal analysis of mobile commerce as an essential electronic commerce component, establishing the main drivers of mobile commerce and the intensity of their influences. The research focuses on mobile commerce in the United States (U.S.). It covers the period 2010–2020, the last year of this period capturing the context of the COVID-19 pandemic and its impact on electronic commerce (e-commerce) and mobile commerce (m-commerce). In the macroeconomic analysis of competitiveness, we established the main drivers of m-commerce, using artificial neural networks and the mediation effects found between the variables that describe m-commerce, e-commerce, and total sales, using structural equation modeling. The research results indicate an increase in the share of e-commerce in total sales and a predominance of the m-commerce share in e-commerce on the background of traffic restrictions and social distance rules imposed due to the COVID-19 pandemic. Stakeholders in the m-commerce area should consider the following enhancing drivers: increasing internet speed, expanding 5G and Wi-Fi networks, and increasing accessibility and trust in mobile devices and applications.

Assessing Antecedents of Behavioral Intention to Use Mobile Technologies in E-Commerce

The last decades have seen continuous increases in electronic commerce (e-commerce) and particularly mobile commerce (m-commerce). These sharp increases, especially during the COVID-19 pandemic, have led companies to become aware of the potential of this trade channel. This paper investigates the effects of antecedents on behavioral intention in m-commerce and the role of consumer satisfaction in the buyer decision process. In our investigation, we used the modified technology acceptance model (TAM). The research was conducted through a survey based on a self-administered questionnaire, with the data being analyzed by structural equation modeling and cross-tabulation. Following the investigation, we found that perceived usefulness (PU) and perceived ease of use (PEU) positively influence behavioral intention. Consumer satisfaction also plays a significantly positive role in m-commerce actual use, influencing future behavioral intention. The results also showed that generational and gender differences strongly affect behavioral intention, with younger generations and male respondents being more inclined to use m-commerce.

Rethinking Tourism Industry in Pandemic COVID-19 Period

The pandemic caused by the SARS-CoV-2 virus (COVID-19) has significantly affected the tourism industry. Tourist destinations have adopted emergency measures and restrictions that have affected the mobility of individuals around the world. Beaches and resorts were empty, cities were deserted, people’s movements were stopped, and travel among different territories was strictly controlled. COVID-19-caused quarantine around the world has harmed people’s livelihoods and the world economy. This study aims to analyze the effects of the COVID-19 pandemic on the tourism industry and overall economic performance. Based on the research results and exploratory research of the literature, we listed in a synthesizing manner several measures to ensure the resilience of the tourism sector during the COVID-19 pandemic period.