ABSTRACT
The increasing role of emerging technologies, such as big data, the Internet of Things, artificial intelligence (AI), cognitive technologies, cloud computing, and mobile technologies, is essential to the business process manager profession’s sustainable development. Nevertheless, these technologies could involve new challenges in labor markets. The era of intelligent business process management (BPM) has begun, but how does it look in real labor markets? This paper examines the hypothesis that the transformation of the business process manager profession has been caused by certain determinants that involve the need for an improvement in BPM skills. The main contribution is a model of the dimensions of the impact of digital technologies on business process management supplemented with skills that influence the business process manager profession. The paper fills the gap in research on perspectives of the impact of digital technologies on business process management, considering both a literature analysis and labor market research. The purpose of the literature review was to identify the core dimensions that drive the use of emerging technologies in business process management. The labor market study was conducted in order to analyze the current demand for core skills of business process managers in the Polish labor market with a particular emphasis on the intelligent BPM concept. Additionally, to study the determinants that slow down the iBPM concept’s development, the digital intensity level of the enterprises and public administration units in Poland was studied. Finally, a fuzzy cognitive map presenting the core determinants of the business process manager profession’s transformation is described.
ABSTRACT
Different technological, socio-economic, geopolitical, and demographic factors have a significant influence on labor markets. Currently, due to COVID-19, the global economy is in a challenging situation, and millions of people from different countries have lost their jobs. The employee’s mental health and well-being are in risk conditions. In the coming years, the Polish energy sector will face several transformations. Emerging technologies are intended to deal with the problems in energy management. One of the main industry forces is human capital, people who will be able to project and manage the innovative technologies. Thus, this paper examines the determinants of managerial competences transformation in the energy industry from the labor market perspective. The paper fulfills the research gap in the energy manager profession’s transformation in Poland. The aim of the paper was to present the current state of the energy manager profession in Poland. Two methodological approaches were used: the theoretical and practical approaches. Descriptive statistics are provided to present the labor market research results. The findings of the research can contribute to the literature and practice by applying them in the process of developing energy manager competency models, as well as in education programs and training courses for enterprises and universities.
ABSTRACT
The harmony relationship between people and places is crucial for sustainable development. The smart sustainable city concept is widely based on making efforts to understand this relationship and create sustainable communities. The placemaking process is highly dependent on people’s perception of places, events and situations in which they find themselves. Moreover, the greater the event scale, the more essential the research concentrated on them. A certain number of scientific papers have focused on the event management and event perception;however, there is still a research gap in works regarding sustainable development concepts. Thus, to fill this gap, the framework for large-scale event perception evaluation was created. Moreover, the cognitive map of large-scale event perception based on the Szczecin city citizens’ opinions was created. In order to acquire the opinions, a questionnaire with spatial–temporal measurement scales was applied. The representativeness estimation method, natural event ontology and framework for image interpretation were used for event segmentation. The storm phenomenon scenes were selected for picture measurement scale creation. The most significant factors of large-scale event perception were identified based on the questionnaire results. Finally, the cognitive map of global event perception factors is presented. By applying the analysis presented in this paper in various industries, relevant policies related to different dimensions of the citizens’ well-being could be created by governments.