Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review

How does educational inequality affect residents' subjective well-being?-Evidence from China

In the context of promoting educational equity and improving welfare, exploring ways to further enhance residents' subjective well-being from the perspective of educational equity holds significant practical importance. This study uses the educational Gini coefficient to measure the educational inequality index across different provinces and cities, and matches it with data from the China Family Panel Studies (CFPS) to investigate the relationship between educational inequality and residents' subjective well-being. The research findings reveal a significant negative correlation between educational inequality and residents' well-being, with observed heterogeneity. Specifically, educational inequality has a greater negative impact on groups with lower levels of well-being, rural areas, and the central and western regions of China. Mechanism analysis confirms the income distribution effect and economic growth effect of educational inequality. Therefore, increasing attention to the issue of educational equity and understanding the well-being effects of educational inequality are of great significance for the Chinese government in improving residents' welfare in the new era.

Impact of information publicity on Korean residents' E-waste recycling intentions: Applying the norm activation model and theory of planned behavior

The escalating annual growth rate of electronic waste, commonly referred to as "e-waste," is currently between 3 % and 5 %, indicating a rapidly increasing solid waste stream. In 2019, South Korea generated 15.8 kg of e-waste per capita. The expansion of South Korea's economy, driven by technological advancement, is a key contributor to this surge in e-waste production. This study examined the impact of information publicity on South Korean residents' e-waste recycling intentions analytically with a quantitative approach. It expanded the norm activation model and theory of planned behavior by incorporating external information elements, including information publicity, in an analysis of 500 responses from the mainland and Jeju Island regarding residents' e-waste recycling intentions and behaviors. The model was validated with partial least squares structural equation modeling via the WarpPLS approach, which is well suited to a model using moderating variables, and the analysis was conducted with WarpPLS 7.0 software. While information publicity did not directly influence residents' intentions to recycle e-waste, it indirectly affected them through two mediating variables: recycling attitudes and moral norms. Additionally, information publicity directly impacted perceived behavioral control. However, perceived behavioral control was not a mediating factor between information publicity and recycling intention. Hence, although people were aware of recycling infrastructure convenience, this awareness did not change their intentions. Current e-waste recycling information and publicity campaigns may be insufficient; the government should improve its publicity events and increase their frequency to encourage effective recycling behavior.

Academics' continuance intention to use learning technologies during COVID-19 and beyond

The COVID-19 pandemic has revolutionized the teaching pedagogy in higher education as universities are forecasted to increase investments in learning technology infrastructure to transition away from traditional teaching methods. Therefore, it is crucial to investigate whether academics intend to continually integrate learning technologies as part of a permanent pedagogical change beyond the COVID-19 pandemic. Drawing upon the Unified Theory of Acceptance and Use of Technology (UTAUT), and Expectation Confirmation Model (ECM), this study examines the salient determinants influencing the continuance intention of academics to use learning technologies in their teaching pedagogy during and after COVID-19. Primary data collected from a private university was analyzed using the partial least squares structural equation modelling technique (PLS-SEM). The findings revealed two sequential mediating relationships which serve as the mechanism linking the relationship between facilitating conditions and their continuance intention to use learning technologies during and beyond the COVID-19 pandemic.

Tamper Detection in Industrial Sensors: An Approach Based on Anomaly Detection

The Industrial Revolution 4.0 has catapulted the integration of advanced technologies in industrial operations, where interconnected systems rely heavily on sensor information. However, this dependency has revealed an essential vulnerability: Sabotaging these sensors can lead to costly and dangerous interruptions in the production chain. To address this threat, we introduce an innovative methodological approach focused on developing an anomaly detection algorithm specifically designed to track manipulations in industrial sensors. Through a series of meticulous tests in an industrial environment, we validate the robustness and accuracy of our proposal. What distinguishes this study is its unique adaptability to various sensor conditions, achieving high detection accuracy and prompt response. Our algorithm demonstrates superiority in accuracy and sensitivity compared to previously established methodologies. Beyond detection, we incorporate a proactive alert and response system, guaranteeing timely action against detected anomalies. This work offers a tangible solution to a growing challenge. It lays the foundation for strengthening security in industrial systems of the digital age, harmonizing efficiency with protection in the Industry 4.0 landscape.

Social, economic, and technical factors affecting CO2 emissions in Iran

Most scholars support the increase in carbon dioxide (CO2) emissions as one of the major causes of the increase in global climate change. Therefore, reducing CO2 emissions from the main emitter countries, including Iran as the sixth emitter, is important to deal with the harmful effects of global climate change. Accordingly, the main aim of this paper was to analyze the social, economic, and technical factors affecting CO2 emissions in Iran. Previous studies on diverse variables affecting emissions are not very accurate and reliable as they do not consider indirect effects. This study applied a structural equation model (SEM) to estimate the direct and indirect impacts of factors on the emissions by panel data for 28 provinces of Iran from 2003 to 2019. According to geographical location, three distinct regions, the north, center, and south of Iran were considered. The findings suggest that a 1% increase in social factor directly increased CO2 emissions by 2.23% (in the north) and 1.58% (in the center), but indirectly reduced emissions by 0.41% (in the north) and 0.92% (in the center). Hence, the total effects of the social factor on CO2 emissions were estimated at 1.82%, and 0.66% in the northern, and central regions, respectively. In addition, the total effects of the economic factor on CO2 emissions were estimated at 1.52%, and 0.73% in those regions. The results of this study showed that the direct effects of a technical factor on CO2 emissions were negative in the north and center. However, they were positive in the south of Iran. Based on the empirical results of this study, three policy implications are discussed in order to control CO2 emissions in regional distinctions of Iran as follows: First, policymakers should pay attention to the social factor, i.e., the growth of human capital in the southern region with the aim of increasing sustainable development. Second, Iranian policymakers must prevent unilaterally increasing gross domestic product (GDP) and financial development in the north and center. Third, policymakers should pay attention to the technical factor, i.e., improving energy efficiency, as well as upgrading information and communications technology (ICT) in the northern and central regions, and limiting the technical factor in the southern region.

The Role of the COVID-19 Crisis in Shaping Urban Planning for Improved Public Health: A Triangulated Study

This paper aims to assess the impact of the COVID-19 pandemic on the link between urban planning practices and public health. A triangulated study was conducted to gain a comprehensive understanding of the topic. The first phase consisted of semi-structured interviews with health and urban planning experts, which were analyzed with the aid of Artificial Intelligence tools. The second phase involved an on-site investigation in the city of Algiers, including a survey, site visits, and a thorough analysis of the master plan for land use and urban planning. The findings emphasize the critical importance of a comprehensive health-centric approach to city design, improved governance and management practices, community involvement, and political commitment to prioritize health in urban planning. Furthermore, the results proved a strong correlation between prioritizing public health in urban planning practices and residents' satisfaction with the city's response to the COVID-19 pandemic. In conclusion, it is necessary to consider public health as a priority in urban planning practices and as a need for all stakeholders to work towards a healthier and more equitable urban environment.

Impact of Industry 4.0 on Companies: Value Chain Model Analysis

Although the concept of Industry 4.0 is newer, more and more companies are responding to this concept and incorporating it into their business models. Industry 4.0 arose as a result of the development of new technologies based on automation, through which technologies can communicate with each other. The aim of this study is to analyze the impact of Industry 4.0 on companies from the point of view of the value chain model. The study points out why the model is a suitable tool for evaluating changes. The research consisted of 1164 respondents, while the sample consisted of 591 Czech companies and 573 Slovak companies. We found that 62% of companies carry out activities in the field of robotization and automation to a large extent, and 32% carry out these activities little or not at all. Regarding the impact of Industry 4.0 on individual activities in the value chain, we found that companies expect the greatest impact on technological development (secondary activity) and customer service (primary activity). On the contrary, they least expect the impact of Industry 4.0 in the primary activities of input logistics and operation. From this point of view, we can say that companies perceive the impact of Industry 4.0 on the activities taking place in their value chains. However, it is important to capture these changes, react appropriately to them and remain competitive.

Reshaping the Curriculum for Academy in Factory in Malaysia

Academy in Factory (AiF) was recently introduced in Malaysia to cater to the talent development and education attainment for a future-ready workforce. Though ideally expected to be an effective initiative, a lack of a strong curriculum framework hinders its implementation. To date the literature on AiF is very limited. It was found that its vague definition and characteristics, non-harmonised interaction between industry and academia, and non-existing curriculum framework are among contributing factors to its ineffective implementation. Thus, this study is aimed at reshaping a curriculum framework that is responsive to its aims and objectives. Building upon an extensive review of literature on AiF, industry-based curriculum, employability and human capital development, and best practices in the international context, the proposed framework is hoped to serve as a reference to improve its current practice.

Three-Dimensional (3D) Printing of Organs according to the Perspective of Islamic Law

The outburst of the fourth Industrial Revolution had a significant impact on many aspects of life. The discovery of new technologies in medicine has resulted in innovations: organ transplants. The introduction of three-dimensional (3D) organ printing technology promises improvements to the field. Organs such as the liver, kidneys, heart and others are printed to meet the needs of the actual organs. However, the production of prototype organs to replace the original organs is associated with the issue of changing the creation of Allah. Accordingly, this study will analyse the issue of changing the creation of God in three-dimensional (3D) organ printing technology according to the perspective of Islamic law. Several appropriate methodologies in Islamic law (usul fiqh) are used such as legal reasoning through maqasid shariah perspective and analogical reasoning. The result shows that three-dimensional (3D) organ printing technology falls under the permissible category of changing the creation of Allah because it can save human lives. The production of organs through 3D printing involving changes included in the category of necessity (daruri) and need (hajiy) is permissible, but the category of desirable (tahsini) requires further specifications.

The Need for Cybersecurity in Industrial Revolution and Smart Cities

Cities have grown in development and sophistication throughout human history. Smart cities are the current incarnation of this process, with increased complexity and social importance. This complexity has come to involve significant digital components and has thus come to raise the associated cybersecurity concerns. Major security relevant events can cascade into the connected systems making up a smart city, causing significant disruption of function and economic damage. The present paper aims to survey the landscape of scientific publication related to cybersecurity-related issues in relation to smart cities. Relevant papers were selected based on the number of citations and the quality of the publishing journal as a proxy indicator for scientific relevance. Cybersecurity will be shown to be reflected in the selected literature as an extremely relevant concern in the operation of smart cities. Generally, cybersecurity is implemented in actual cities through the concerted application of both mature existing technologies and emerging new approaches.

What Factors Determine the Online Consumer Behavior in This Digitalized World? A Systematic Literature

This review study envisioned to address the basic objective that is to investigate determinants of online consumer behavior. A conventional review strategy was used to address the objective raised above, i.e., systematic strategy, and also, the obtained data were analyzed via content analysis. In addition to the above, the study also employed descriptive research design to present the obtained result descriptively. According to the generated findings, purchase intention is the most studied area, which is followed by adoption, and conversely, continuance or repurchase stage of online consumer behavior is the most underresearched area. Perceived usefulness, perceived risk, attitude, perceived ease of use, trust, social influence, subjective norms, perceived enjoyment, security, perceived behavioral control, web design quality, privacy and security concerns, demographic factors (e.g., age, gender, occupation, education, and income), perceived value, service quality, perceived satisfaction, psychological factors (e.g., relative advantage), facilitating conditions, and consumers’ experience are the most influential factors significantly affecting online consumer behavior at large. Therefore, it is advised that industries those are experienced or newcomers in the market to work on the identified factors determining the online consumer behavior, to sustain and achieve success in this dynamic world.

Driving Factors of Industry 4.0 Readiness among Manufacturing SMEs in Malaysia

Industry 4.0 increases the production efficiency and competitiveness of companies. However, Industry 4.0 implementation is comparatively low in developing countries, while Malaysian manufacturing Small and Medium Enterprises (SMEs) Industry 4.0 adoption is still in its infancy stage. This quantitative study aimed to broaden the knowledge of the driving factors that significantly strengthen Malaysian manufacturing SMEs’ readiness for the digital revolution. Based on the Resource-Based View theory, the study built a research framework to govern the investigation of organizational capabilities, SME institutional support, perceived advantage, and market factors as the driving factors of Industry 4.0 readiness, while firm size as the moderating variable. The data were collected by conducting an online survey with the owners and managers of Malaysian-owned manufacturing SMEs located throughout Peninsular Malaysia, where the firms have received some form of government assistance. The analysis of the study indicated that organizational capabilities, SME institutional support, and market factors positively correlate with Industry 4.0 readiness. It was determined that firm size only moderates the relationship between SME institutional support and Industry 4.0 readiness. This study’s findings benefit industry practitioners and policymakers who wish to drive the future of Malaysia’s SMEs business ecosystem and contribute to Industry 4.0 literature.

Industry 4.0 as a Challenge for the Skills and Competencies of the Labor Force: A Bibliometric Review and a Survey

The latest technological development called Industry 4.0, like the previous industrial revolutions, has also brought a new challenge for people as a labor force because new technologies require new skills and competencies. By 2030 the existing generation in the labor market will have a skill gap threatening human replacement by machines. Based on bibliometric analysis and systematic literature review the main aims of this study are, on the one hand, to reveal the most related articles concerning skills, competencies, and Industry 4.0, and on the other hand, to identify the newset of skills and competencies which are essential for the future labor force. Determining the model of new skills and competencies in connection with Industry 4.0 technologies is the main novelty of the study. A survey carried out among the workers of mostly multinational organisations in Hungary has also been used to explore the level of awareness about those skills and Industry 4.0 related technologies, and this can be considered the significance of the empirical research.

Open and Cost-Effective Digital Ecosystem for Lake Water Quality Monitoring

In some sectors of the water resources management, the digital revolution process is slowed by some blocking factors such as costs, lack of digital expertise, resistance to change, etc. In addition, in the era of Big Data, many are the sources of information available in this field, but they are often not fully integrated. The adoption of different proprietary solutions to sense, collect and manage data is one of the main problems that hampers the availability of a fully integrated system. In this context, the aim of the project is to verify if a fully open, cost-effective and replicable digital ecosystem for lake monitoring can fill this gap and help the digitalization process using cloud based technology and an Automatic High-Frequency Monitoring System (AHFM) built using open hardware and software components. Once developed, the system is tested and validated in a real case scenario by integrating the historical databases and by checking the performance of the AHFM system. The solution applied the edge computing paradigm in order to move some computational work from server to the edge and fully exploiting the potential offered by low power consuming devices.

Government Agencies’ Readiness Evaluation towards Industry 4.0 and Society 5.0 in Indonesia

The introduction of the Industry 4.0 and Society 5.0 concepts has been undoubtedly challenging, and the readiness towards them could be fundamentally enhanced by strategic management and entrepreneurial governance. Bureaucracy in the majority of developing countries, including Indonesia, is an impediment due to the delays in bureaucratic reform and weak patterns of communication and coordination between their institutions. This study aims to analyze the readiness towards the era of Industry 4.0, and Society 5.0 in Indonesia from the perspectives of strategic management of the bureaucracy and entrepreneurial government. We undertake a case study on the organization of the Deputy for Human Resources of the Indonesian Ministry of Empowerment of the State Apparatus and Bureaucratic Reform and use a mixed method that simultaneously combines quantitative and qualitative methods. The resulted data from observations, in-depth interviews, and focus group discussions were then analyzed using path analysis, descriptive methods, and qualitative approaches. Our results finding shows that there is a strategic value in data-based policies, and the ownership of data from various perspectives is strategically used as a direction for policymakers. One of the impacts of the Industry 4.0 and Society 5.0 concepts is that the world has become increasingly connected. Hence, there are no boundaries between systems. Bureaucratic strategic management and entrepreneurial government have a significant effect on the readiness towards the Industry 4.0, and Society 5.0 concepts, in Indonesia, either partially or simultaneously.

Towards a Democratization of Data in the Context of Industry 4.0

Data-driven transparency in end-to-end operations in real-time is seen as a key benefit of the fourth industrial revolution. In the context of a factory, it enables fast and precise diagnoses and corrections of deviations and, thus, contributes to the idea of an agile enterprise. Since a factory is a complex socio-technical system, multiple technical, organizational and cultural capabilities need to be established and aligned. In recent studies, the underlying broad accessibility of data and corresponding analytics tools are called “data democratization”. In this study, we examine the status quo of the relevant capabilities for data democratization in the manufacturing industry. (1) and outline the way forward. (2) The insights are based on 259 studies on the digital maturity of factories from multiple industries and regions of the world using the acatech Industrie 4.0 Maturity Index as a framework. For this work, a subset of the data was selected. (3) As a result, the examined factories show a lack of capabilities across all dimensions of the framework (IT systems, resources, organizational structure, culture). (4) Thus, we conclude that the outlined implementation approach needs to comprise the technical backbone for a data pipeline as well as capability building and an organizational transformation.

Analysis of Maximization Strategy Intangible Assets through the Speed of Innovation on Knowledge-Driven Business Performance Improvement

This study aims to determine the effect of human capital, structural capital, and consumer capital on financial performance and moderate the speed of innovation. The type of research used in the study is quantitative—data collection techniques in distributing questionnaires measured using a Likert scale. The sampling technique used was random sampling and was determined by the slovin formula. The population in this study was MSMEs in Buleleng Regency, and the samples used in this study amounted to 392 MSMEs. Data or statistical analysis techniques in the study were considered using the Structural Equation Model with WarpPLS 5.0 software modelling. The results show that the technology and commitment variables have no significant effect on the development of religious ecotourism villages. In contrast, cultural changes significantly impact the development of religious ecotourism villages. This study uses the speed of innovation as a moderating variable, the speed of innovation is one of the essential things for MSMEs to improve financial performance. The speed of innovation supports intellectual capital, which is currently focused on knowledge-driven business to create a competitive advantage.

A Meta-synthesis on Technology-Based Learning Among Healthcare Students in Southeast Asia

Healthcare education providers are eager to apply technologies in teaching and learning activities; however, students are the consumers in higher education, and their opinion and experience should be considered. We performed a meta-synthesis of qualitative studies to help inform our understanding of Southeast Asian healthcare students' perceptions and experience of technology-based teaching and learning in their education. Our search strategy located 1599 articles from a dozen electronic research databases. Articles were analyzed for quality using the Hawker's Evidence Appraisal Tool, and 23 qualitative studies were included in the final meta-synthesis. Technologies investigated largely involved online or blended learning, with fewer exploring virtual reality, simulations, telehealth, game-based learning, and videos. Three overarching themes were synthesized: (i) culture does matter in the implementation of technology-based learning; (ii) the values and limitations of technology used for learning; and (iii) technology is part of daily life and creates new challenges in education. Technology is an asset to enhance the learning experience, but educators must be aware of its limitations. Pre-coronavirus disease 2019 (COVID-19) studies were more focused on technology and product, and were optimistically reported, whereas COVID-19-spanning studies focused on life experience and paid more attention to reporting on the inherent challenges. The educational approaches, theories, cultural aspects, and availability of facilities all play a vital role in steering successful technology use in learning.

The role of perceived employability in the relationship between protean career attitude and career success

This research sought to investigate how academics with a protean career attitude perceived success in their academic career. The role of perceived employability was examined by distinguishing between external and internal employability perceptions. Data from 288 academics working in Malaysian universities were collected and analysed using structural equation modelling. The findings revealed that a protean career attitude had no significant direct relationship with career success; rather, it had an indirect effect on success via perceived employability. Both external and internal perceived employability fully mediated the relationship between protean career attitude and career success, with perceived external employability having a stronger direct and mediating effect on academic career success. This study suggests that academic staff depend upon external employment opportunities to pursue success in academia. The implications of study findings are discussed, along with limitations and future research directions.

Recognizability of Ecolabels on E-Commerce Websites: The Case for Younger Consumers in Poland

In the modern retail system, labels may be defined as silent-sellers which, if recognized and understood by consumers, may allow them to make conscious choices. This simple concern is particularly important considering e-commerce: it ensures customers to find nearly everything they demand without the need to exit from home; however, as shoppers are not in direct contact with sales-clerks, labels play even more a crucial role in the purchasing decision. Online shopping is increasing, notably among young people, and ecolabels represent for producers a tool to distinguish their goods and to provide consumers reliable and credible information about the environmental characteristics of their products. Despite the growing interest in the above-mentioned topics, research which investigate the recognition of ecolabels in online shopping by young consumers lack. To this purpose, the authors conducted an online questionnaire that was distributed to a sample of 559 young consumers who shop online in the most popular Polish retailing chains. Results reveal that online shopping is becoming increasingly popular in Poland, but only some ecolabels were recognized by more than 50% of respondents. This result is not correlated to the frequency of online purchases nor to gender. The recognition of ecolabels among consumers is fundamental.

The Impact of E-Commerce on the Labor Market

E-commerce is one of the industrial sectors created as a result of technological progress, and has created new jobs for the economy. However, this sector is conditioned not only by the level of digitalization of each state, but also by the speed of integration of technology in the business environment. The main purpose of the article is to present the impact of e-Commerce development on the labor market. It also considers impact on the labor market of human capital with advanced technological skills. It focuses on data from a particular period situated between two major crises (the economic crisis of 2008 and the health crisis of 2020). We want to know to what extent a technology-created sector can compensate for technological unemployment. To test the working hypothesis, we developed a panel regression model for a sample of 28 European states. The results indicate that 99.5% of the variation in the labor market activity rate of people aged 15 to 64 years in the selected sample of states is explained by the model. This confirms that the development of e-Commerce and an increase in the percentage of technology-specialized human resources contribute to the increase in activity rate in the labor market. As a result, the labor market must be assisted in keeping up with technology by restructuring the education system, or introducing courses that maintain competitiveness and continuous development.

VNursLab 3D Simulator: A Web-Based Nursing Skills Simulation of Knowledge of Nursing Skill, Satisfaction, and Self-Confidence among Nursing Students

The use of technology-based learning methods in nursing education is necessary in the era of digitalization, but these methods are limited, especially in developing countries, including Indonesia. We aimed to evaluate the effectiveness of the Virtual Nursing Skills Simulation Lab (VNursLab), a web-based nursing skills simulation using 3D technology, to improve the knowledge of nursing skills for intravenous catheterization, satisfaction, and self-confidence of nursing students in Indonesia. A quasi-experimental design was used. A total of 139 nursing students participated and were divided into intervention and control groups (69 and 70 participants, respectively). The intervention group had access to the VNursLab 3D simulator for three weeks and had three meetings. The control group had traditional learning (lecture and three meetings). The data were analyzed using the paired t-test, Wilcoxon test, and Mann–Whitney U test. The means and standard deviations of the post-test values in the two groups for the three parameters were 12.26 + 4.11 vs. 9.67 + 3.13 for nursing skill knowledge, 23.00 + 2.32 vs. 21.70 + 2.68 for satisfaction, and 36.25 + 3.48 vs. 34.96 + 3.39 for self-confidence. We found significant differences between the intervention and control groups regarding knowledge of nursing skills (p < 0.001), satisfaction (p < 0.001), and self-confidence (p = 0.014). The VNursLab 3D simulator could be an alternative learning medium to improve nursing students’ understanding of nursing skills, satisfaction, and self-confidence. However, this medium cannot replace direct practical experience. A combination of the two learning methods, virtual-based learning and hands-on practical learning, is beneficial in helping nursing students achieve nursing competencies.

Confirmatory Factor Analysis of Performance Measurement Indicators Determining the Uptake of CPS for Facilities Management

With the use of cyber-physical systems (CPS) advanced computational capabilities, the delivery of facilities management (FM) mandates are efficiently and effectively conducted. Since performance measurement is an important yardstick in ascertaining the outcome of FM approaches, this study assesses the performance measurement indicators that influence the uptake of CPS for FM functions. Using a structured questionnaire, data were collected from built environment professionals in the Gauteng province of South Africa. Data collected was analysed using a five-stage process which includes: data reliability and validity, descriptive statistics, establishing a difference in groups’ opinion, principal component analysis, and model testing and fit statistics for confirmatory factor analysis. Results from the study indicate that three significant performance indicators are influential in determining the uptake of CPS for FM, which are operations efficiency, facility adaptation, and client’s satisfaction. The study contributes immensely to the body of knowledge. It unveils the significant performance measurement indicators that would help organisations, facilities managers, and policymakers guide their decisions hinged on the espousal of innovative technologies. Furthermore, the study serves as a solid theoretical base for further studies showcasing a roadmap for digitalisation for FM functions by unravelling the significant performance measurement indicators.

Deployment of Interpretive Structural Modeling in Barriers to Industry 4.0: A Case of Small and Medium Enterprises

Small and medium enterprises (SMEs) are vital contributors and significant drivers of any manufacturing sector. The Industry 4.0 (I 4.0) revolution has made the global economy highly competitive and automated, requiring Indian SMEs to adapt more quickly. Therefore, this study aimed to identify the barriers to implementing I 4.0, simplifying the complex interrelationship among such barriers with the help of a suitable model, categorizing them as independent and dependent ones, and, ultimately, leveling the same drivers, autonomous linkages, and dependent forces. The present investigation thoroughly examined the existing literature and summarized the list of barriers into fifteen significant barriers to the smooth establishment of Industry 4.0 in India. The identified barriers were analyzed with the help of Interpretive Structural Modeling (ISM) Diagraph and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis. This study was able to explore the interrelationship among these barriers. The study has found found a lack of support from stakeholders, and insufficient managerial support emerged as a major factor neglected by Indian SMEs. However, uncertainty in the predicted demand for products, the lack of an alternate solution to the technological breakdown, and doubt about the sustainability of Industry 4.0 (relating to its potential to lead to unemployment in society, etc.) are significant contingent barriers. These barriers can impact the other strategic choices related to the successful implementation of Industry 4.0. This study’s observations can help decision-makers make strategic decisions to manage the barriers affecting Industry 4.0 in Indian SMEs. This research revealed a scope that can be extended to other South Asian and developing nations. The results of the present work can be further studied with structural equation modeling (SEM) and multiple regression analysis (MRA).

Workplace 4.0: Exploring the Implications of Technology Adoption in Digital Manufacturing on a Sustainable Workforce

As part of the Industry 4.0 movement, the introduction of digital manufacturing technologies (DMTs) poses various concerns, particularly the impact of technology adoption on the workforce. In consideration of adoption challenges and implications, various studies explore the topic from the perspective of safety, socio-economic impact, technical readiness, and risk assessment. This paper presents mixed methods research to explore the challenges and acceptance factors of the adoption of human-robot collaboration (HRC) applications and other digital manufacturing technologies from the perspective of different stakeholders: from manufacturing employees at all levels to legal experts to consultants to ethicists. We found that some of the prominent challenges and tensions inherent in technology adoption are job displacement, employee’s acceptance, trust, and privacy. This paper argues that it is crucial to understand the wider human factors implications to better strategize technology adoption; therefore, it recommends interventions targeted at individual employees and at the organisational level. This paper contributes to the roadmap of responsible DMT and HRC implementation to encourage a sustainable workforce in digital manufacturing.

Dynamic Graphical Instructions Result in Improved Attitudes and Decreased Task Completion Time in Human–Robot Co-Working: An Experimental Manufacturing Study

Collaborative robots offer opportunities to increase the sustainability of work and workforces by increasing productivity, quality, and efficiency, whilst removing workers from hazardous, repetitive, and strenuous tasks. They also offer opportunities for increasing accessibility to work, supporting those who may otherwise be disadvantaged through age, ability, gender, or other characteristics. However, to maximise the benefits, employers must overcome negative attitudes toward, and a lack of confidence in, the technology, and must take steps to reduce errors arising from misuse. This study explores how dynamic graphical signage could be employed to address these issues in a manufacturing task. Forty employees from one UK manufacturing company participated in a field experiment to complete a precision pick-and-place task working in conjunction with a collaborative robotic arm. Twenty-one participants completed the task with the support of dynamic graphical signage that provided information about the robot and the activity, while the rest completed the same task with no signage. The presence of the signage improved the completion time of the task as well as reducing negative attitudes towards the robots. Furthermore, participants provided with no signage had worse outcome expectancies as a function of their response time. Our results indicate that the provision of instructional information conveyed through appropriate graphical signage can improve task efficiency and user wellbeing, contributing to greater workforce sustainability. The findings will be of interest for companies introducing collaborative robots as well as those wanting to improve their workforce wellbeing and technology acceptance.

Travel-Business Stagnation and SME Business Turbulence in the Tourism Sector in the Era of the COVID-19 Pandemic

The COVID-19 pandemic, apart from having an impact on public health, has also caused the stagnation of travel-bureau businesses and the management of small and medium enterprises (SMEs) in the tourism sector. This study aims to analyze the COVID-19 pandemic as a determinant of travel-business stagnation and turbulence in small and medium enterprises (SMEs), the influence of human resources, business development, and product marketing on the productivity of the travel and SME business, the direct and indirect effects of business innovation, economic digitization, and the use of technology on business stability and economic-business sustainability. This study uses an explanatory sequential qualitative–quantitative approach. Data were obtained through observation, in-depth interviews, surveys, and documentation. This study is focused on assessing the efforts made by travel-agency-business actors and SMEs in responding and adapting to changes in the business environment, both internally and externally. Human resources, business development, and product marketing together affect the productivity of travel agents and SMEs with a coefficient of determination of 95.84%. Furthermore, business innovation, economic digitization, and the use of technology simultaneously affect business stability with a coefficient of determination of 63.8%, and business stability affects the sustainability of travel and SMEs with a coefficient of determination of 67.6%. This study recommends a strategy for travel-agency-business sustainability and the stability of SMEs’ economic-business management towards increasing economic growth in the North Toraja Regency, South Sulawesi, Indonesia.

The emerging work system and strategy for skills transition in South Africa

Purpose

The rapidly emerging digital work system, accentuated by technological innovation, has dramatically changed the nature of skill-sets required for employees to perform their tasks effectively at the workplaces. This paper aims to examine the skills development strategies that organizations in South Africa are adopting in the transitioning of their respective workforces to fit the skills dynamics of the emerging work system.

Design/methodology/approach

The paper uses the interpretive qualitative research strategy to draw evidence from semi-structured interviews conducted on 38 respondents, using the thematic analytical process to derive themes embedded in the data set.

Findings

Based on the strength of data analysis, this paper identified two broad themes and six sub-themes that are critical for the transformation and transition of existing pool of skills for the emerging work system in South Africa.

Research limitations/implications

The research lacks ability to be generalized, which is a methodological limitation that is inherently associated with cross-sectional design and qualitative strategy in terms of causality and generalizability of findings.

Originality/value

The main value-add of this paper is the development of evidence-based research outcomes that provide both theoretical and practical framework for skills development and transition initiatives that are imperative for policy formulation. The paper responded to, and advanced the respective works of Hirschi (2017), Sharma et al. (2021) and Barley et al. (2017), by establishing the following strategic themes that are critical for skills development and transition mechanisms in the emerging work system: stakeholder relationship, media and public perception, learning organization, higher education system, continuous skills development and technology and job losses.

Real-Time Implementation of a Fully Automated Industrial System Based on IR 4.0 Concept

With the advent of modern communication and control strategies, existing industrial enterprises are now being transformed as per Industrial Revolution (IR) 4.0 standards to maximize production rates and monetary gains. To cope with the pace of the modern technological revolution, the Government of Saudi Arabia has launched “Vision 2030”. This research article presents the full automation process of an existing production line at the College of Engineering, King Saud University, as per “Vision 2030” guidelines. Initially, a production line was designed to produce flavored yogurt bottles from a user-defined flavor and plain yogurt mixture. The research project was completed in two phases. During phase I, smart sensing, control, and automation equipment were used to minimize human intervention, the so-called semi-automated mode of operation. A bottle-feeding mechanism and robotic arms were later integrated to eliminate human intervention during the second phase. Moreover, during phase II, Node-RED, Telegram Bots, and a Raspberry Pi 4 controller were used to achieve IoT-based monitoring and control as per Industry 4.0 requirements. A comparative performance analysis was conducted between semi-automated and fully automated modes of operation to demonstrate the benefits of the fully automated operational mode. The performance of the fully automated system was found to be superior in comparison with the semi-automated system.

Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study

Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries are focusing on improving product consistency, productivity and reducing operating costs, and they want to achieve this with the collaborative partnership between robotics and people. In smart industries, hyperconnected manufacturing processes depend on different machines that interact using AI automation systems by capturing and interpreting all data types. Smart platforms of automation can play a decisive role in transforming modern production. AI provides appropriate information to take decision-making and alert people of possible malfunctions. Industries will use AI to process data transmitted from the Internet of things (IoT) devices and connected machines based on their desire to integrate them into their equipment. It provides companies with the ability to track their entire end-to-end activities and processes fully. This literature review-based paper aims to brief the vital role of AI in successfully implementing Industry 4.0. Accordingly, the research objectives are crafted to facilitate researchers, practitioners, students and industry professionals in this paper. First, it discusses the significant technological features and traits of AI, critical for Industry 4.0. Second, this paper identifies the significant advancements and various challenges enabling the implementation of AI for Industry 4.0. Finally, the paper identifies and discusses significant applications of AI for Industry 4.0. With an extensive review-based exploration, we see that the advantages of AI are widespread and the need for stakeholders in understanding the kind of automation platform they require in the new manufacturing order. Furthermore, this technology seeks correlations to avoid errors and eventually to anticipate them. Thus, AI technology is gradually accomplishing various goals of Industry 4.0.

A Study of the Human Factor in Industry 4.0 Based on the Automotive Industry

Human factor plays an important role in the implementation of the fourth industrial revolution (Industry 4.0). The concept of Industry 4.0 is poorly researched, particularly the social aspect. The authors have conducted a study to determine the level of preparation of employees for the introduction of technological changes. This study involved conducting a survey on a sample of 453 employees based in four organizations within the automotive industry. The respondents were thereafter divided into groups based on age and positions held. The employees’ knowledge of the Industry 4.0 technology was examined, and their openness to change and readiness to increase competence was determined. A causal relationship was found between knowledge and trust in technology. Employees’ fears associated with production automation were discussed. A group of production workers was found to be the least prepared to implement technology changes. Actions to improve the situation and potential consequences of inadequate implementation of this technology were indicated. The findings from this study were compared with the results obtained in other countries. Special attention was paid to the limitations of this study, and we identified the necessity to conduct international comparative research on small, medium and large enterprises.

Big-Data Management: A Driver for Digital Transformation?

The rapid evolution of technology has led to a global increase in data. Due to the large volume of data, a new characterization occurred in order to better describe the new situation, namel. big data. Living in the Era of Information, businesses are flooded with information through data processing. The digital age has pushed businesses towards finding a strategy to transform themselves in order to overtake market changes, successfully compete, and gain a competitive advantage. The aim of current paper is to extensively analyze the existing online literature to find the main (most valuable) components of big-data management according to researchers and the business community. Moreover, analysis was conducted to help readers in understanding how these components can be used from existing businesses during the process of digital transformation.

COVID-19 Pandemic Waves: 4IR Technology Utilisation in Multi-Sector Economy

In this paper, we reviewed the Fourth Industrial Revolution (4IR) technologies applied to waves of the coronavirus disease (COVID-19). COVID-19 is an existential threat that has resulted in an unprecedented loss of lives, disruption of flight schedules, shutdown of businesses and much more. Though several researchers have highlighted the enormous benefits of 4IR technologies in containing the COVID-19 pandemic, the recent waves of the pandemic call for a thorough review of these technological interventions. The cyber-physical space has had its share of the COVID-19 pandemic effect, and through this review, we highlight the salient issues to help policy formulation towards managing the impact of subsequent COVID-19 waves within such environments. Hence, the purpose of this paper is to review the application of 4IR technologies during the COVID-19 pandemic waves and to highlight their shortcomings. Recent research articles were sourced from an online repository and thoroughly reviewed to highlight 4IR technology applications, innovations, shortcomings and multi-sector challenges. The outcome of this review indicates that the second wave of the pandemic resulted in a lower proportion of patients requiring invasive mechanical ventilation and a lower rate of thrombotic events. In addition, it was revealed that the delay between ICU admissions and tracheal intubation was longer in the second wave in the health care sector. Again, the review suggests that 4IR technologies have been utilized across all the sectors including education, businesses, society, manufacturing, healthcare, agriculture and mining. Businesses have revised their service delivery models to include 4IR technologies and avoid physical contacts. In society, digital certificates, among other digital platforms, have been utilized to assist with the movements of persons who have been vaccinated. Manufacturing concerns have also utilized robots in manufacturing to reduce human-to-human physical contact. The mining sector has automated their work processes, utilising smart boots to prevent infection, smart health bands and smart disinfection tunnels or walkthrough sanitization gates in the mining work environment. However, the identified challenges of implementing 4IR technologies include low-skilled workers, data privacy issues, data analysis poverty, data management issues and many more. The boom in 4IR technologies calls for intense legislation on sweeping data privacy for regulated tech companies. These findings hold salient implications for policy formulation towards tackling future pandemic outbreaks.

Innovative Approach to Preventive Maintenance of Production Equipment Based on a Modified TPM Methodology for Industry 4.0

Preventive maintenance (PM) in the production industry is one of the most essential measures to eliminate accidental machinery failures by replacing/repairing worn out machines or parts. The decision of when and where to perform preventive maintenance is non-trivial due to the complex and stochastic nature of the industry where PM is implemented. This article deals with the theoretical and practical implementation of preventive maintenance based on a unique modification of the total productive maintenance (TPM) methodology. The innovative approach of preventive maintenance management was implemented in the real production hall of ITT (Czech Republic) and has been verified. Within preventive maintenance, the new concept brings in an innovative method of managing the maintenance process as a whole, from abstract methodical conception to practical usage. The whole new approach has been verified and implemented on industrial equipment. A challenging task while implementing Industry 4.0 technologies is the issue of how to fully gather and analyse operational data from various items of equipment and users under various conditions, which would result in innovative services of equipment maintenance for clients. The solution to this problem is based on an innovative approach to preventive maintenance of complex equipment and could help many industrial companies to increase production and maintenance efficiency.

Towards Sustainable I4.0: Key Skill Areas for Project Managers in GCC Construction Industry

Industry 4.0 (I4.0) grew from and is guided by smart manufacturing. The fourth industrial revolution’s I4.0 would induce radical changes and transformations in the everyday operations of businesses and people’s life. Due to these major changes impacting all sectors and industries worldwide, the sustainability of the new future systems and operations is pertinent. The current research literature points out that the social (human factor) aspect is relatively underrepresented in the I4.0 sustainability-related studies. The few studies related to the social aspect usually investigate the so-called ‘techno-centric’ approach to the subject. This study aimed to investigate the I4.0 construction project management (PM) profession from the socially sustainable ‘worker-centric’ approach. Five key assets of the new I4.0 project managers role, specifically in the construction industry, were explored to achieve this goal. This was conducted through a survey questionnaire aimed at 100 construction project managers based in Gulf Cooperation Council (GCC) region. The overall research results showed that academic and professional qualifications were found to be key factors in the process of adapting to the new I4.0 methodologies.

Project-based maturity assessment model for smart transformation in Taiwanese enterprises

As smart technology proliferates, enterprises must engage not only in the transformation of intelligence but contend with pressure do so as soon as possible. Smart transformation is critical for manufacturing enterprises in the development of smart manufacturing. This study addressed the gap between maturity models and project management by designing an effective assessment framework for smart transformation. It adopts the Smart Industry Readiness Index, created by the Singapore Economic Development Board, as a maturity assessment model to analyze enterprises’ smart transformation and formulate project management strategies. Enterprises can use this model to examine the maturity level of their transformation and assess scope for improvement in their project strategies and implementation barriers. This study focuses on Taiwanese enterprises using data collected from 165 valid questionnaires and subjected to a cluster analysis. Enterprises were divided into three categories. The results reveal that, first, most enterprises’ smart transformation is at an immature or medium-maturity level, and is therefore amenable to further improvement. Second, inconsistent with research findings, many enterprises invest in transformation projects but fail to advance these projects to maturity. Third, most enterprises’ project management plans fail to meet actual transformation needs. Using the thematically oriented maturity model proposed in this study, Taiwanese enterprises can effectively evaluate the maturity of their transformation projects. In conclusion, the study highlights that Taiwanese enterprises must identify more effective external resources to strengthen their competitiveness.

A Basic Study on Establishing the Automatic Sewing Process According to Textile Properties

This study aimed to establish an automatic sewing process for garment production according to textile properties. An automatic feeding system and a self-made template were introduced to an industrial sewing machine. Two types of stitches were performed on fabrics with various physical properties and surface roughness using this automatic sewing machine. The appearance, stitch length and width, seam strength, and seam efficiency were evaluated according to the sewing conditions, such as presser height and sewing speed. In addition, the correlation between textile properties, sewing conditions, and sewability was analyzed to derive a regression equation for sewability. The evaluation showed no difference in the lock stitch condition. On the other hand, under the zigzag stitch condition, the stitch width differed according to the presser height, which also affected the seam structure. The optimal presser height for each fabric was derived from the experimental results. In terms of the sewing speed, however, the seam strength was the best at 200 RPM in the lock stitch and 400 RPM in the zigzag stitch. The moderating effect of the presser height between textile properties and sewability in the lock stitch condition was confirmed. This result can be used as basic data for establishing an automatic sewing process for smart factories.

Impact of Industry 4.0 and Digitization on Labor Market for 2030-Verification of Keynes’ Prediction

The research objective of this study is to examine the changes in technological unemployment and to evaluate Keynes’ theory based on a literature analysis concerning the fourth industrial revolution. The methodology used in this study is a literature analysis of 86 papers published between 2011 and 2020 on topics related to Industry 4.0, the labor market, and technological unemployment. The change caused by the labor market raises employment sustainability issues. Among the goals adopted at the 2012 UN Rio+20 Conference on Sustainable Development, this study is directly related to goals 8 and 9, and indirectly to goal 10. Research evidence suggests that the impact of Industry 4.0 processes will reduce the amount of labor needed, bringing us closer to Keynes’ vision of three hours a day. The analysis suggests that reduced working hours will increase economic efficiency through more intensive work. The literature is used to determine whether the trend of reduced working hours can be interpreted as a positive or negative phenomenon. The extent of technological unemployment is determined by the digitalization strategy of each country and the speed of its introduction, as well as the readiness of the education system in a given country to retrain vulnerable groups in the labor market. However, the overall picture is positive: on the one hand, digital transformation opens up a wide range of opportunities for a more human life, and on the other hand, from an economic point of view, digitalization will become an inescapable element of competition by reducing marginal costs. The study’s novelty is that the effects of Industry 4.0 and technological unemployment on the labor market are analyzed in the context of Keynes’ theory.

Employee Preparedness for Industry 4.0 in Logistic Sector: A Cross-National Study between Poland and Malaysia

Today we are witnessing a paradigm shift when it comes to the industry. There are chances that Industry 4.0 does not only involve major changes in production and business solutions, but also the ability of many enterprises (mainly production companies) to come closer to developed economies. This article highlights the aspect of creating new business models that integrate organizations around Industry 4.0 solutions and create new value for the client and internal client. The objective of this study was to demonstrate the relationship between the implementation of selected Industry 4.0 technologies as well as the knowledge and preparation of employees for changes caused by new solutions, e.g., in the area of the automation and robotization of industry or data and information management. The questionnaire research was conducted among 80 logistics companies in Poland and 80 in Malaysia. Based on the obtained data, a statistical analysis was conducted of the relationships between the above-mentioned variables. The analysis concerned: the employees’ knowledge of the Industry 4.0 paradigm, preparing employees for challenges and the implementation of Industry 4.0 technology. The correlation analysis showed the existence of a statistical relationship between the analysed variables. The analysis of quantitative data showed differences between Poland and Malaysia in terms of employee preparation, their knowledge of Industry 4.0 and activities related to the implementation of specific IR4.0 technologies. The presented analysis relates to one of the analysed areas, therefore it is a contribution to further considerations and comparisons.

The Impact of Co-Inventor Networks on Smart Cleantech Innovation: The Case of Montreal Agglomeration

We use patent big data and apply a combination of network analysis techniques to explore the social structure of the Montreal tech community and its embeddedness in the global innovation landscape. In particular, we focus on the smart cleantech segment. In doing so, we analyze the effect of inventor collaborations on innovations and the emergence of smart clean technologies and smart sustainable solutions in Montreal and their global impact. Our analysis reveals the importance of both local and international ties for the general development of innovations in Montreal’s competitive urban economy, with a stronger impact of international ties, in generating smart cleantech innovations. We discuss the implications of our findings for smart cleantech and cleantech clusters and for further development of tech agglomerations.

Dynamics of Human Capital Development in Economic Development Cycles

Our paper focuses on the dynamics of development of human capital in economic development cycles (as described, for example, in the works of Becker or Barro). In the course of this research, we created an econometric model based on the modified Mankiw‒Romer‒Weil equation of the Cobb‒Douglas function which takes into account the factor of convergence/divergence and differentiation due to changes in the size of territories, population, volume of economies, and other parameters of the studied states and societies. The applied Theil index makes it possible (since it can be used as a “transition key”) to compare the dynamic time series of human capital development in the early industrial and post-industrial, knowledge, as well as the information cycles of economic development. Drawing on the historical experience of four industrial revolutions, our paper finds that, contrary to popular belief, which considers early industrialization to be a largely unfettered process and human capital development to be a by-product, the Industrial Revolutions actually contributed to the formation of human capital by fostering new technologies and opening up opportunities for personal development for a large number of people, as well as creating a large numbers of new jobs and significantly increasing productivity and wages. Our approach makes it possible to calculate the development of human capital for each cycle of economic development according to separate formulas and then compare them in one dynamic series. Our results might be relevant for stakeholders and policy-makers in the countries largely relying upon the export of their natural resources who might want to attempt changing their dependency and to invest in the formation of a knowledge-based economy based on the high-quality human capital.

Industry 4.0 and Proactive Works Council Members

Background: Integrating Industry 4.0 technologies in organizations affects employees’ workplaces and working conditions. Works Council members play an essential role in this because as intermediaries of information between employees and management, they increase mutual trust and help introduce changes in the work environment. This article discusses the Works Council members’ autopoietic endowments that are necessary for their proactive activity, which we discuss as building blocks for creating constructive relationships with management and quality energy in an organization. As such, we were interested in examining whether the autopoietic endowments of Works Council members influenced the type of relationship with the Works Council and management, and whether this relationship affected Works Council members’ organizational energy. Methods: A questionnaire was developed, piloted and distributed to Works Council Members, and 220 completed questionnaires were returned. Results: We found that the higher the level of self-awareness, the better the relationship between Works Council members and management. Moreover, poor energy represented poor relationships, and poor relationships signified a higher degree of resigned inertia and corrosive energy. Conclusions: Our research provides managements with insights into the relationship between employees and management, and the quality of their organizational energy.

Digitization, Digital Twins, Blockchain, and Industry 4.0 as Elements of Management Process in Enterprises in the Energy Sector

In the 21st century, it is becoming increasingly clear that human activities and the activities of enterprises affect the environment. Therefore, it is important to learn about the methods in which companies minimize the negative effects of their activities. The article presents the steps taken and innovative actions carried out by enterprises in the energy sector. The article analyzes innovative activities undertaken and implemented by enterprises from the energy sector. The relationships between innovative strategies, including, inter alia, digitization, and Industry 4.0 solutions, in the development of companies and the achieved results concerning sustainable development and environmental impact. Digitization has far exceeded traditional productivity improvement ranges of 3–5% per year, with a clear cost improvement potential of well above 25%. Enterprises on a large scale make attempts to increase energy efficiency by implementing the state-of-the-art innovative technical and technological solutions, which increase reliability and durability (material and mechanical engineering). Digitization of energy companies allows them to reduce operating costs and increases efficiency. With digital advances, the useful life of an energy plant can be increased up to 30%. Advanced technologies, blockchain, and the use of intelligent networks enables the activation of prosumers in the electricity market. Reducing energy consumption in industry and at the same time increasing energy efficiency for which the European Union is fighting in the clean air package for all Europeans have a positive impact on environmental protection, sustainable development, and the implementation of the decarbonization program.

Economic Business Sustainability and Strengthening Human Resource Capacity Based on Increasing the Productivity of Small and Medium Enterprises (SMEs) in Makassar City, Indonesia

The dynamics of urban development coupled with economic growth have contributed positively to the development of small and medium enterprises (SMEs). Optimizing the utilization and strengthening of the capacity of SMEs’ human resources will encourage increased productivity of economic enterprises and the sustainability of small and medium enterprises (SMEs). This study aims to analyze (1) strengthening the capacity of human resources (HR) of small and medium enterprises to work as a determinant of increasing the productivity of small and medium enterprises (SMEs) and labor absorption; (2) the effect of strengthening the capacity of human resources (HR), business productivity, technology utilization, and business diversification on the sustainability of small and medium enterprises (SMEs); and (3) optimizing the role of government in supporting business development, increasing productivity, business stability and sustainability of small and medium enterprises (SMEs). This study uses a sequential explanatory design approach. Data were obtained through observation, in-depth interviews, surveys, and documentation. Qualitative analysis in this study was carried out through a process of data reduction, data presentation, and conclusion drawing, while the quantitative analysis in this study uses quantitative descriptive analysis, correlation, and multiple regression. The results showed that strengthening the capacity of human resources, coupled with the use of technology, and followed by diversification of business, had a positive contribution to increasing the productivity of small and medium enterprises (SMEs). Furthermore, strengthening human resource capacity, business productivity, technology utilization, and business diversification simultaneously have a positive and significant correlation to the sustainability of small and medium enterprises (SMEs) with a determination coefficient of 72.3%. This study recommends that government policy support through strengthening human resource capacity, increasing business productivity, technology utilization, and business diversification have an impact on the sustainability of small and medium enterprises (SMEs) in Makassar City, Indonesia.

Skills for a Working Future: How to Bring about Professional Success from the Educational Setting

Globalization, digitalization, and the permanent alteration of information have led to important changes in the world of work. This demands a realignment of essential skills in order to access job positions in the coming years. In order to face up to the digitalization process, education is one of the ambits that has most come to a tipping point. This adds an urgency to the need to bring skills in line with the new demands of the job market and the challenges posed in the 21st Century. The methodology was based on a systematic review of the most commonly-used databases. It analyzed and synthesized the existing information on the skills required for the future job market and educational proposals to facilitate their acquisition. At the beginning of the search, 2045 records were selected. However, following the application of the exclusion criteria, a total of 63 records were included. From this in-depth analysis, it was uncovered that the most in-demand skill for the job market relates to the management of technology. Different proposals were located which targeted these skills in educational settings. The majority of these pertained to innovative projects emanating from digital and technological phenomena.

Exploring Robot Connectivity and Collaborative Sensing in a High-School Enrichment Program

Education is facing challenges to keep pace with the widespread introduction of robots and digital technologies in industry and everyday life. These challenges necessitate new approaches to impart students at all levels of education with the knowledge of smart connected robot systems. This paper presents the high-school enrichment program Intelligent Robotics and Smart Transportation, which implements an approach to teaching the concepts and skills of robot connectivity, collaborative sensing, and artificial intelligence, through practice with multi-robot systems. The students used a simple control language to program Bioloid wheeled robots and utilized Phyton and Robot Operating System (ROS) to program Tello drones and TurtleBots in a Linux environment. In their projects, the students implemented multi-robot tasks in which the robots exchanged sensory data via the internet. Our educational study evaluated the contribution of the program to students’ learning of connectivity and collaborative sensing of robot systems and their interest in modern robotics. The students’ responses indicated that the program had a high positive contribution to their knowledge and skills and fostered their interest in the learned subjects. The study revealed the value of learning of internet of things and collaborative sensing for enhancing this contribution.