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This paper studies the impact of certain characteristics of companies to training programs in the Industry 4.0 (I4.0) context. Partial objective is to rank the main human barriers companies have to overcome so that they can digitalize.

To accomplish the objectives, a closed-ended questionnaire was sent to Slovak and Italian companies and analyzed using statistical nonparametric tests. The partial objective was achieved using the so-called Henry-Garrett’s ranking method.

Results show the significance impact of companies’ characteristics such as foreign participation and company dimension on training practices whereas economic situation (financial health) seems not to influence it.

The study may lack generalizability as only 102 answers were collected. Perhaps, the outcome would be different with another sample from other countries. Moreover, using closed-ended questions, certain features may not have been covered.

Companies should always guarantee training for the resulted benefits. It is fundamental for organizations to find a time gap, resources and professionals who can teach these programs. Even when companies are incurring financial problems they should do so since human capital development can increase their competitiveness. The most critical barriers should be carefully addressed by companies. Training can help to overcome I4.0 barriers related to Human Resources (HR) and contribute to its growth.

This paper gives insights of the impact of certain characteristics of companies to the training programs. Because past research has limited their analysis on the identification of barrier, its novelty lies in the attempt to rank the most significant barriers among those detected by other authors in previous research.

This paper revolves around the central question: is it possible to do “proper ethnography” without complete participant observation? The authors draw upon a student's experiences of negotiating National Health Service (NHS) ethical approval requirements and access into the student's research field, a British NHS hospital and having to adapt data collection methods for the student's doctoral research. The authors examine some of the positional (insider/outsider, native gone academic), methodological (long-term/interrupted, overt/covert) and contextual challenges that threatened the student's ethnographic study.

The paper draws on reflexive vignettes written during the student's doctorate, capturing significant moments and issues within the student's research.

The authors highlight the temporal, practical, ethical and emotional challenges faced in attempting an ethnography of nursing culture within a highly regulated research environment. Having revealed the student's experience of researching this specific culture and finding ways to overcome these challenges, the authors conclude that the contemporary ethnographer needs to be increasingly flexible, opportunistic and somewhat covert.

The authors argue that it is possible to do “proper” and “good” ethnography without complete participant observation – it is not the method, the observation, that is the essence of ethnography, but whether the researcher achieves real understanding through thick descriptions of the culture that explain “what is really going on here”.

The authors hope to assist doctoral students engage in “good” ethnographic research within (potentially) risk-averse host organisations, such as the NHS, whilst being located in neo-liberal performative academic organisations (Foster, 2017; McCann et al., 2020). The authors wish to contribute to the journal to ensure good ethnography is accessible and achievable to (particularly) doctoral researchers who have to navigate complex challenges exacerbated by pressures in both the host and home cultures. The authors wish to see doctoral researchers survive and thrive in producing good organisational ethnographies to ensure such research is published (Watson 2012), cognisant of the pressures and targets to publish in top-ranked journals (Jones et al. 2020).

Having identified key challenges, the authors demonstrate how these can be addressed to ensure ethnography remains accessible to and achievable for, doctoral researchers, particularly in healthcare organisations. The authors conclude that understanding can be attained in what they propose as a hybrid form of “propportune” ethnography that blends the aim of the essence of “proper” anthropological approaches with the “opportunism” of contemporary data collection solutions.

Robotics and automation are successful in construction, health and safety, but costs and expertise hinder their use in developing nations. This study examined mobile apps as a more accessible and affordable alternative.

This descriptive study explored the use of mobile apps in construction, health and safety management. It used a literature review to identify their availability, accessibility, and capabilities. The study consisted of four five stages: searching for relevant apps, selecting them based on versatility, examining their specific functions, removing untested apps and discussing their functions based on empirical studies.

A comprehensive literature review identified 35 mobile apps that are relevant to health and safety management during construction. After rigorous analysis, eight apps were selected for further study based on their relevance, user friendliness and compliance with safety standards. These apps collectively serve 28 distinct functions, including first-aid training and administration, safety compliance and danger awareness, safety education and training, hazard detection and warnings.

This study suggests that mobile apps can provide a cost-effective and readily accessible alternative to robotics and automation in health and safety management in construction. Further research is needed to accurately assess the efficacy of these apps in real-world conditions.

This study explored the use of apps in health and safety management, highlighting their diverse capabilities and providing a framework for project managers, contractors and safety officers to select suitable apps.

Based on the research of free trade agreements on alleviating service trade policy heterogeneity and its impact on manufacturing exports, this article aims to not only provide a basis for China's strategy of promoting regional economic integration, but also provide a policy reference for the manufacturing industry to expand the export market space.

This study uses the two principles of “answering” and “scoring” to quantify the indicators of service trade policy heterogeneity to test the relationship between heterogeneity of service trade policy, free trade agreement and manufacturing export.

According to empirical study, the export of Chinese manufacturing firms is severely hampered by the variety of service trade regulations, and the bigger the enterprise, the more hampered it is. In comparison to communications, transport and commerce, the financial industry's policy heterogeneity has a greater negative impact on certain industries. The major methods used to reduce the impact of service trade policy heterogeneity on manufacturing exports are product price increases and product quantity reductions. Also, by reducing the heterogeneity of service trade regulations and fostering industrial exports, the free trade agreement that China has signed can be quite successful. The open commitment in the area of national treatment, however, can reduce policy heterogeneity and advance manufacturing.

In the area of market access, the effect of export is superior to the open promise. Thus, in order to effectively support the stabilization of international trade, China should actively encourage the negotiation and signing of higher-quality and mutually beneficial free trade agreements.

The study aims to highlight the barriers faced by the entrepreneurs toward achieving sustainability in business and innovation cultivation by offering solutions for academicians, practitioners and policymakers. The study uses the resource-based view (RBV) theory to discuss how an organization’s resources and capabilities influence the competitive ambience and barriers faced by entrepreneurs.

The present research uses grey-causal modelling (GSC) to analyse the barriers against successful entrepreneurship.

The research focuses on the usefulness of dynamic capabilities, managing and cooperating resources in the entrepreneurship setting. The paper highlights the importance of resource gathering and nurturing as a method to combat scarcity. This research further identifies that financial limitations, regulatory obstacles, challenges to sourcing qualified labour, poor infrastructure and technology, limited mentorship opportunities, lack of scalability, low initial cost barriers in product development and risk-averse attitudes are the major factors hindering entrepreneurs from obtaining sustainable business and innovation.

The contribution of this research to the literature is that it assesses RBV theory within the realm of entrepreneurship, providing a different perspective on resources and capabilities as well as the challenges faced by entrepreneurs. The systematic approach to the analysis and prioritization of various barriers is innovative, and it adds knowledge in this area.

The main purpose of this paper is to examine the adoption of big data analytics (BDA) in the Tanzania banking industry by investigating the influence of technological, environmental and organizational (TOE) factors while exploring the moderating role of perceived risk (PR).

The study employed a qualitative research design, and the research instrument was developed using per-defined measurement items adopted from prior studies; the items were slightly adjusted to fit the current context. The questionnaires were distributed to top and middle managers in selected banks in Tanzania using the snowball sampling technique. Out of 360 received responses, 302 were considered complete and valid for data analysis. The study employed partial least squares structural equation modeling (PLS-SEM) to examine the developed conceptual framework.

Top management support and financial resources emerged as influential organizational factors, as did competition intensity for the environmental factors. Notably, bank size and perceived trends showed no significant impacts on BDA adoption. The study's novelty lies in revealing PR as a moderating factor, weakening the link between technological readiness, perceived usefulness and the intent to adopt BDA.

This study extends literature by extending the TOE model, through examining the moderating roles of PR on technological factors. Furthermore, the study provides useful managerial support for the adoption of BDA in banking in emerging economies.

Following recent high-profile audit failures, concern has been expressed that auditors are not demonstrating sufficient skepticism when exercising professional judgment. In particular, client assumptions and estimations relating to hypothetical valuations in financial reporting are not being challenged. This paper seeks to address the issue by advancing a decision-making framework aimed at guiding auditors beyond regulatory reductionist thinking towards an enhanced understanding of the cognitive processes which shape professional judgment in forming a reliable audit opinion.

Drawing on the normative philosophical and theological teachings of Bernard Lonergan, the authors' decision-making framework embodies reflective thinking and the data of consciousness to highlight the central role played by enquiry in the dynamics of understanding, judgment and decision-making. Such enquiry elicits challenge of the management bias inherent in hypothetical valuations.

Auditing through a Lonerganian lens allows auditors to reflect on their approach to objective decision-making by offering a set of cognitive tools to enhance the enquiry essential for nurturing professional skepticism.

This paper contributes to the literature by developing the somewhat neglected discourse on the cognitive processes essential for professional skepticism and audit judgment. The authors demonstrate how Lonerganian self-appropriation intensifies an awareness of the recursive cognitive activities pertinent to objective judgment and decision-making. This awakened consciousness has the potential not only to change how auditors question evidence to make informed judgments and decisions, but also to normalize the practice of challenge.

The purpose of the study is to investigate how small- and medium-sized enterprises (SMEs) can effectively collaborate for eco-innovation using the business modes of innovation framework to emphasise three types of collaboration: “science, technology, and innovation” (STI), “learning by doing, using, and interacting” (DUI)-Vertical and DUI-Horizontal.

This analysis uses data from 838 SMEs in the Basque Country (2018–2020) to evaluate the effects of the three types of collaboration on eco-innovation. The authors employ a propensity score-based method to address potential bias associated with endogeneity in innovation studies.

The findings suggest that DUI-Vertical collaboration has a positive relationship with the development of product, process and marketing eco-innovation. Furthermore, DUI-horizontal collaboration is the most effective collaboration mode for SMEs, positively impacting their overall eco-innovation portfolio. Finally, STI collaboration is positively associated with product eco-innovation.

Policymakers should support SMEs by designing programmes that facilitate collaboration between competing firms to stimulate eco-innovation, but potential challenges of coopetition must be addressed. Rather than a generic, one-size-fit-all approach, SMEs' managers should identify the most appropriate partners corresponding to their specific eco-innovation goal, ensuring a more effective and targeted. Collaboration between science partners and SMEs should be reinforced by approximating the SMEs' needs more effectively.

This study contributes twofold. Firstly, the authors investigate whether the STI and DUI modes of innovation are determinant factors in the introduction of various types of eco-innovation. Secondly, the authors contribute to the literature on business modes of innovation by differentiating between DUI-Vertical (i.e. suppliers, customers and consultancy) and DUI-Horizontal (i.e. competitors) collaboration, thus highlighting the complexity of DUI collaboration forms.

The purpose of the study is to investigate how employee ambidexterity (studied as passive and active ambidexterity; EPA and EAA) impacts employee agility (in terms of proactivity, resilience and adaptability) along with the moderating influences of employee organizational tenure (EOT).

A simple random sampling technique is used to collect primary responses from bank managers working in various public, private and regional rural banks in India. The analysis is performed using AMOS (Version-25), a covariance-based structural equation modeling approach.

The two-folded findings include first, the EAA–agility relationship is stronger than the EPA–agility linkage. Second, EOT negatively influences the EAA–EPA–agility relationships.

Although the performance impact of ambidexterity is well documented in the literature there is a dearth of empirical investigation on its agility impact. Since most of the extant researchers have studied ambidexterity and agility from an organizational context, this research highlights the less-studied ambidexterity-agility connection from an employee perspective. Further, EOT is mostly studied as a control variable, while this research investigates as a moderator influencing the ambidexterity–agility linkage in the context of emerging economies such as India.

This article aims to investigate how institutional characteristics affect the level of financial development of economies collectively and compare between developed and undeveloped economies.

A dynamic panel with 131 countries, including developed and developing ones, was utilized; the estimators of the generalized method of moments system (GMM system) model were selected because they have econometric characteristics more suitable for analysis, providing superior statistical precision compared to traditional linear estimation methods.

The results from the full panel suggest that concrete and well-defined institutions are important for financial development, confirming previous research, with a more limited scope than the present work.

Limitations of this research include the availability of data for all countries worldwide, which would make the research broader and more complete.

A panel of countries was used, divided into developed and developing countries, to analyze the impact of institutional variables on the financial development of these countries, which is one of the differentiators of this work. Another differentiator of this research is the presentation of estimates in six different configurations, with emphasis on the GMM system model in one and two steps, allowing for comparison between results.