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Production industries are undergoing a digital transition, referred to as the fourth industrial revolution or Industry 4.0, as a result of rapidly expanding advances in information and communication technology. The purpose of this research is to provide a conceptual insight into the impact of unique capabilities from the fourth industrial revolution on production and maintenance tasks in terms of providing the existing production companies a boost by making recommendations on areas and tasks of great potential.

A survey and a literature review are among the research methods used in the research. The survey collected empirical data using a semi-structured questionnaire, which provided a broad overview of the company's present condition in terms of production and maintenance, resulting in more comprehensive and specific information regarding the study topics.

The study points out that, the implementation of I4.0-technology leads to an increase in production, asset utilization, quality, reduced machine down time in industries, and maintenance. Sensor technology, big data analysis, cloud technologies, mobile end devices, and real-time location systems are now being implemented to improve production processes and boost organizational competitiveness. Moreover, the study highlights that data acquired throughout the production process is utilized for quality control, predictive maintenance, and automatic production control. Furthermore, I4.0 solutions help companies to be more efficient with assets at each stage of the process, allowing them to have a stronger control on inventories and operational-optimization potential.

The findings of the study was supported by empirical data collected through survey that provides an intangible understanding of the importance of distinctive capabilities from the I4.0 revolution on production and maintenance tasks. In this study, some recommendations and guidelines to enhance these tasks are provided that are vital for existing production companies.

The involvement of wear, friction and lubrication in engineering systems and industrial applications makes it imperative to study the various aspects of tribology in relation with advanced technologies and concepts. The concept of Industry 4.0 and its implementation further faces a lot of barriers, particularly in developing economies. Real-time and reliable data is an important enabler for the implementation of the concept of Industry 4.0. For availability of reliable and real-time data about various tribological systems is crucial in applying the various concepts of Industry 4.0. This paper aims to attempt to highlight the role of sensors related to friction, wear and lubrication in implementing Industry 4.0 in various tribology-related industries and equipment.

A through literature review has been done to study the interrelationships between the availability of tribology-related data and implementation of Industry 4.0 are also discussed. Relevant and recent research papers from prominent databases have been included. A detailed overview about the various types of sensors used in generating tribological data is also presented. Some studies related to the application of machine learning and artificial intelligence (AI) are also included in the paper. A discussion on fault diagnosis and cyber physical systems in connection with tribology has also been included.

Industry 4.0 and tribology are interconnected through various means and the various pillars of Industry 4.0 such as big data, AI can effectively be implemented in various tribological systems. Data is an important parameter in the effective application of concepts of Industry 4.0 in the tribological environment. Sensors have a vital role to play in the implementation of Industry 4.0 in tribological systems. Determining the machine health, carrying out maintenance in off-shore and remote mechanical systems is possible by applying online-real-time data acquisition.

The paper tries to relate the pillars of Industry 4.0 with various aspects of tribology. The paper is a first of its kind wherein the interdisciplinary field of tribology has been linked with Industry 4.0. The paper also highlights the role of sensors in generating tribological data related to the critical parameters, such as wear rate, coefficient of friction, surface roughness which is critical in implementing the various pillars of Industry 4.0.

This paper examines the growth trajectory, documents, journals, worldwide distribution authors, scientific production and thematic focus in the field of sustainable HRM.

A total of 765 publications (between 1982 and 2023) were chosen from the Scopus database that were diligently examined to reach insightful results. To aid the investigation, the Biblioshiny tool was used.

Through thematic mapping, the study finds that sustainable HRM is still an emerging and contemporary concept. Moreover, the themes of sustainable HRM are underdeveloped and need conceptual clarity. Additionally, these themes have evolved internally which have made a modest contribution to the advancement of the discipline. Furthermore, topic trending, word frequency and document citations indicate that a growing body of literature on sustainable HRM focuses extensively on environmental issues, demonstrating that HRM should be given greater attention to roles related to sustainability in the workplace.

Sustainable HRM should be a top priority for businesses, with an emphasis on environmental and sustainability concerns. To be in line with global sustainability standards, HR training needs to be updated. Companies should develop HR policies that put sustainability first and spend money on analytical tools. Academic and industrial cooperation can improve the field more quickly. Best practices can be standardized by participation in forums. It is crucial to take a holistic approach that balances environmental, social and economic factors.

This study distinguishes itself by adding highlights on bibliometric insights and thematic emphasis on sustainable HRM, adding to the progress of the field's knowledge and offering insightful pathways for future research.

In this digital age, the rapid technological innovation and adoption, with the increasing use of big data analytics, has raised concerns about the ability of small and medium enterprises (SMEs) to sustain the competition and innovation performance (IP). To narrow the research gap, this paper investigates the role of big data analytics capability (BDAC) in moderating the relationship between digital innovation (DI) and SME innovation performance.

This research has been carried forward through a detailed theory and literature analysis. Data were analyzed through confirmatory factor analysis and structural equation models using a two-stage approach in smartPLS-4.

Results highlight that digital service capability (DSC) significantly mediates the relationship between DI and IP. Additionally, value co-creation (VCC) directly affects digital transformation (DT), while DI has a stronger effect on DSC than IP. Furthermore, BDAC significantly moderates the relation between DSC → IP and DT → IP, whereas it has a detrimental effect on the relation between DI and IP. In addition to that, VCC, DSC, DT, DI and BDAC have a direct, significant and positive effect on IP.

This research was motivated by the practical relevance of supporting SMEs in adopting DT and the resource-based view (RBV) and technology acceptance model (TAM). This study shows that all direct and indirect measures significantly affect innovation performance, including BDAC as moderator. These findings refresh the perspective on what DT, DI, VCC, DSC and BDAC can bring to a firm's innovation performance.

This paper has contributed to DT by empirically validating a theoretical argument that suggests the acceptance and adoption of new technology. This paper aims to fill theoretical gaps in understanding BDAC and DT by incorporating the RBV and TAM theories on BDAC and DT.

In this study, the impact of boss phubbing, or using a phone during interaction with subordinates, on important employee outcomes — work meaningfulness and employee phubbing behavior — through the mediating role of self-esteem threat was investigated using affective events theory. The moderating role of rejection sensitivity was also examined.

Data were collected in three time lags from head nurses (N = 178) working in public and private hospitals. The hypothesized relationships were tested using variance-based structural equation modeling with partial least squares.

Boss phubbing negatively affected employees' sense of work meaningfulness and had a positive direct and indirect relationship with employee phubbing behavior through self-esteem threat. The hypothesized moderating role of rejection sensitivity was not supported.

The authors recommend that organizations develop policies addressing boss phubbing in the workplace, particularly in contexts in which a high leader–member exchange is desired for organizational effectiveness, such as health-related services. Superiors, such as doctors, should review their mobile phone usage during interactions with subordinates because it is detrimental to employee outcomes.

This study is a nascent attempt to test the hypothesized relationships on the emerging phenomenon of phubbing at work in the human–computer interaction domain in Pakistan, a developing country, particularly in hospital settings where a high leader–member exchange is pivotal.