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The banking sector is more revolutionized than ever, with advanced technologies driving a seismic change in the financial industry. This study aims to understand how digital technologies influence banking sector employees and their perception of working in an era of Banking 4.0.

This study incorporated qualitative analysis to gain different insights from diverse respondents from banking industries. A purposive sampling method was adopted, and semistructured interviews were conducted, taking a sample of 72 respondents. All the transcripts were then analyzed using NVivo.

The findings focus on challenges related to understanding technology phenomena, managing changes, infrastructure, skills, competitiveness and regulatory mechanisms. This is further followed by the favorable impact of Banking 4.0 on employees and future avenues, such as innovation in financial services, work productivity, career opportunities and change management, banking 4.0 and banking 5.0, and banking 4.0 management strategies identified as the significant findings.

This study provides guidelines for Banking 4.0 provision strategy and conceptual reference toward the development of Banking 4.0. It also supports the Enhanced Access and Service Excellence 4.0 program, driven by the Indian Bank’s Association, to focus more on digitization, automation and data analytics.

The novelty of this research provides a qualitative hierarchy of significant challenges, favorable impacts and future research avenues of Banking 4.0 in the Indian banking sector.

This paper aims to evaluate the effects of salting duration and salt concentration on the physicochemical, colour, texture and sensory attributes of buffalo meatballs.

Minced buffalo meat was mixed with salt at 1 or 2% concentration and stored for 0 h, 24 h or 48 h during the preparation of meatballs. The developed meatballs were analysed for moisture content, water holding capacity (WHC), pH, cooking yield, shrinkage, colour, texture profile analysis, gelling properties and sensory attributes.

The salting durations of 24 and 48 h had significant (p < 0.05) effects on the WHC and colour attributes of the buffalo meatballs. A 2% salt addition in meatballs significantly (p < 0.05) affected pH and cooking yield. Salting for 24 h with 2% salt concentration significantly (p < 0.05) increased the hardness, chewiness and gel strength of the meatballs. Thus, salting for 24 h with a 2% salt concentration improved the physicochemical, textural and sensory attributes of buffalo meatballs.

The study highlighted the importance of salting treatment during the preparation of meat products. For example, salting buffalo meatballs with a 2% salt concentration for 24 h could improve their functional and sensory attributes.

Studies on salting durations at different salt concentrations in buffalo meat are very limited. An optimized combination of salting duration and salt concentration during the preparation of buffalo meatballs could improve the quality attributes and acceptability of these products.

Military and unmanned aerial vehicles (UAV) applications like rocket motor casings, missile covers and ship hulls use components that are made of maraging steel. Maraging steel has properties that are superior to other metals, making it more suitable for the fabrication of such components. A grey relational analysis (GRA) that is based on the Taguchi method has been utilised in the current study to optimise a laser beam welding (LBW) process. Further aspects such as GRA's optimum ranges and percentage contributions were also estimated.

A Taguchi L16 orthogonal array is utilised to design and conduct the experiments. Laser power (LP), welding speed (WS) and focal position (FP) are the three parameters are chosen for the process of welding. The output responses are the upper width of the heat-affected zone (HAZup), the upper width of the fusion zone (FZup) and the depth of penetration (DOP). The effect of the above key parameters on the responses was examined using an analysis of variance (ANOVA).

The results of ANOVA reveal that the parameter that has the most influence on the overall grey relational grade (GRG) is the FP. Finally, metallographic characterisation and a microstructural analysis are conducted on the weld bead geometry to demarcate the zone of HAZ and fusion zone (FZ).

As the most important criteria for LBW of maraging steels is the provision of higher DOP, higher FZ width and lower heat-affected zone, the study intended to prove the applicability of GRA technique in solving multi-objective optimisation problems in applications like defence and unmanned systems.

Communication and job satisfaction are two key factors for the success of public organisations. The study aims, firstly, to examine the effects of training activities and internal meetings on the perceived quality of communication processes; secondly, to explore the nuanced relationship between communication and job satisfaction.

This is a cross-sectional study based on results from organisational climate surveys conducted between 2019 and 2020 in six Italian Regional Healthcare Systems, involving a total of 58,888 employees. Linear regression models were performed.

Results highlight that employee satisfaction is positively influenced by high-quality internal communication. The organisation of frequent internal meetings and the offer of ad hoc training sessions on communication were found to be antecedents of good communication.

The study offers practical implications for healthcare organisations, highlighting specific strategies that can be employed to enhance internal communication and, subsequently, job satisfaction. The emphasis on training programmes and internal meetings provides actionable insights for organisational improvement.

The originality and value of this study lie in its unique large datasets, which significantly strengthen the reliability of the findings and make them more applicable to a wider range of contexts. Also, the exploration of the relationship between internal communication processes and job satisfaction within public healthcare organisations contributes to the growing body of knowledge in organisational studies.

This research examines the drivers of electric vehicle (EV) acceptance in the Kingdom of Saudi Arabia (KSA) by applying the unified theory of acceptance and use of technology (UTAUT) model, contextualized for the EV setting. The study aims to provide insights supporting the transition to sustainable transportation and identifying consumer perceptions and behavioral intentions toward EV adoption.

Based on survey data from a convenience sample collected from undergraduate and MBA students in a major university of KSA, the authors use seemingly unrelated regressions to provide novel insights on electric vehicle acceptance.

The study shows UTAUT constructs influence purchase intentions and attitudinal outcomes. Results indicate that perceived EV sustainability plays an important role in the relationship between UTAUT constructs and purchase intention alongside attitudes toward EV technology. Technological innovativeness enhances the impact of EV attitude and weakens the effect of perceived EV sustainability on purchase intention.

The study benefits researchers on sustainable technology acceptance and stakeholders facilitating sustainable transportation shifts. The insights guide the promotion of eco-friendly transportation solutions.

The research contextualizes and extends the UTAUT model constructs to understand drivers of EV acceptance. The study contributes to understanding sustainable innovation acceptance, considering the mediating role of perceptions of EV sustainability and the moderating role of technological innovativeness in driving purchase intentions.

The impact of technological transformations in all sectors is undeniably significant, especially in fitness family business. The aim is to examine the digital transformation perceptions of fitness centre employees and the effects of perceived empowerment on their job performance in family business in Turkey.

The sample was 334 fitness centre employees. Four variables were evaluated (digital transformation, meaning competence, self-determination and job performance), and PLS-SEM was used.

The digital transformation process in the fitness sector can be considered as an important factor in terms of creating new business ventures. Our results showed that digital transformation perceived by family business employees had a significantly influence on the meaning competence of the employees. Also, the meaning competence of employees was a mediator between the digital transformation and job performance.

Managers of family businesses must take into account that an appropriate digital transformation of their products and/or services has an impact on the meaning competence of their employees. Thus, through increased competence in employee performance, the digitization of family business fitness will lead to higher employee performance and productivity.

This study innovates by linking digital transformation as a factor influencing the coach's own motivation and self-perceived competence in the use of technology to their job performance.

Industry 4.0 (I4.0), the Fourth Industrial Revolution, integrates Big Data analytics, blockchain, cloud computing, digitisation and the Internet of Things to enhance supply chain (SC) activities and achieve sustainable growth through dynamic capabilities (DCs). This approach equips businesses with the necessary tools to optimise their operations and remain competitive in a dynamic business environment. The value proposition of a business encompasses a wide range of activities that add value at each stage. By leveraging DCs, a firm can achieve innovation, gain a competitive advantage and enhance its adaptability. Conversely, effective value chain management can amplify the influence of a firm's DCs on SC sustainability, by reducing waste, optimising resource utilisation and fostering strategic partnerships. This mutually beneficial connection takes the form of a dynamic interaction in which I4.0 technologies act as a catalyst to help organisations become more resilient, adaptive and responsive. The adoption of these technologies denotes a comprehensive approach to business shift, not merely technical integration. I4.0 has an impact on several organisational disciplines outside of manufacturing, from automation and efficiency advantages to quality enhancements. This chapter offers an extensive literature review to explore the level of SC sustainability that a business can achieve by combining its DCs and implementing strategic I4.0 adoption. The function of value chain management in moderating the effects of I4.0 and DCs on SC sustainability is also assessed. This study proposes a theoretical model that is grounded in the insights extracted from the literature review.

The purpose of this study is to incorporate a broader set of influencing factors. It is aimed at providing practical insights for policymakers and urban planners to help create equitable and resilient urban areas that improve the quality of life for low-income residents.

This study uses a modeling approach that integrates metropolitan open data to quantify housing expenses. This model evaluates housing affordability by incorporating 30 different criteria that impact household affordability, allowing for a more comprehensive analysis. It adopts a multidisciplinary approach, considering economic, social and environmental factors in assessing urban housing dynamics, thereby providing a holistic understanding of the complex factors that influence affordability.

The research shows that considering multiple factors, including accessibility costs, gives a more accurate measure of housing affordability. Applying the model to Pune reveals the complexity of affordability issues beyond just income and housing costs. The model provides valuable insights for both academic understanding and practical urban housing strategies.

The study’s originality lies in its multidisciplinary approach to provide a more holistic assessment of housing affordability. The research offers a novel method of analyzing housing affordability, which is often overlooked in traditional models. The findings hold value for urban planners and policymakers, providing them with actionable data to support equitable urban development and improved housing conditions for low-income populations.

Digital sustainable maturity (DSM) is an important factor for gaining a competitive advantage. However, the literature on this topic is scarce. This study was designed to understand and formalize the concept of DSM and investigate models for measuring it in the context of supply chains.

To this end, a systematic literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) tool, whose steps and evaluation criteria resulted in a portfolio of 87 articles. These were analyzed based on pre-established criteria from the literature on scope, design and application.

The results revealed an emerging field, but with the domain of DSM still underexplored. No formal concept of DSM was found in the literature. Thus, this paper presents the first definition in the field, which can be understood as the organization’s dynamic capability to leverage its digital assets to promote sustainable performance in economic, environmental and social dimensions. Regarding the analyzed models, 72 maturity models were identified considering both domains. However, only nine of them provided a model for evaluating DSM. Overall, the models presented varied architectures, which made it impossible to determine a consistent approach for measuring maturity in this domain.

This study is original as it systematically integrated digital and sustainable constructs to measure maturity. Furthermore, it formalizes the concept of DSM, which was not found in the existing literature.

This research aims to understand the primary challenges encountered by entrepreneurs operating in emerging economies, where entrepreneurship plays a vital role. The study places a particular emphasis on entrepreneurs in Brazil.

The research methodology involved the analysis of data obtained from interviews, using both content analysis and Grey Relational Analysis techniques.

The analysis revealed several prominent difficulties that entrepreneurs face in these domains. These challenges encompassed issues such as grappling with intricate taxation systems and the associated tax burden, navigating government bureaucracy, securing access to essential financing and initial investments, contending with the absence of supportive government programs and addressing the dynamic nature of market conditions. The findings on the most critical barriers reveal potential pathways for entrepreneurs, policymakers and universities to act in developing the entrepreneurial ecosystem in emerging economies.

The insights garnered from this research have the potential to inform the formulation of robust public policies aimed at fostering entrepreneurship and innovation in emerging countries. Furthermore, these findings can serve as a valuable resource for planning initiatives designed to train engineers to become successful entrepreneurs.