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Digital transformation of organizations has major implications for required skills and competencies of the workforce, both as a prerequisite for implementation, and, as a consequence of the transformation. The purpose of this study is to analyze required skills and competencies for digital transformation using the context of robotic process automation (RPA) as an example.

This study is based on an explorative, thematic coding analysis of 119 job advertisements related to RPA. The data was collected from major online job platforms, qualitatively coded and subsequently analyzed quantitatively.

The research highlights the general importance of specific skills and competencies for digital transformation and shows a gap between available skills and required skills. Moreover, it is concluded that reskilling the existing workforce might be difficult. Many emerging positions can be found in the consulting sector, which raises questions about the permanent vs temporary nature of the requirements, as well as the difficulty of acquiring the required knowledge.

This paper contributes to knowledge by providing new empirical findings and a novel perspective to the ongoing discussion of digital skills, employment effects and reskilling demands of the existing workforce owing to recent technological developments and automation in the overall context of digital transformation.

The purpose of this study, 3-aminopyridine, 8-aminoquinoline and some new synthesized 2-aminobenzothiazoles were diazotized with nitrosyl sulfuric acid and subsequently coupled with 5-chloro-8-hydroxy quinoline to synthesize the corresponding heteroarylazo dyes 6–13.

The structures of dyes were characterized by mass, Fourier transform infra red, ¹H proton nuclear magnetic resonance and ultra violet-visible spectroscopic techniques. Absorption spectra of the dyes were measured in acetic acid, ethanol, chloroform, acetonitrile, dimethyl formamide and dimethyl sulfoxide and correlated with the nature of the solvents and substituents. The effects of varying pH on the absorption wavelengths of the azo dyes were also studied. In addition, the acidity constants (pKa) of the dyes were determined using the spectrophotometric method in an ethanol-water mixture (80:20, v/v) at 20–23°C. Besides, density functional theory (DFT) calculations were carried out to compare the energies of proposed azo and hydrazone tautomers of the dyes.

The results showed that the withdrawing chloro groups on the diazo moiety have significant influence (red shift) on the electron absorption spectra of these dyes. In addition, introducing electron withdrawing chloro groups into the benzothiazoles moiety increased the acidic character of dyes.

The synthesized 7-hetroarylazo-5-chloro-8-hydroxy quinoline dyes are new members in the 8-hydroxyquinoline azo dyes family, where very few details regarding the synthesis of such dyes are reported before in the literature. They are unique in terms of synthesis, spectral properties and DFT calculations.

This study aims to descriptively identify and refine the role of emotional intelligence (EI) in the retail banking employee–customer contact context, and prescriptively use this knowledge to develop a framework for improving true customer service without excess organizational cost, in Lebanon.

The research adopts the classical interpretive/constructivist ontology and the interpretivism/constructivism epistemology, and it rests on a tripod of methodological foundations. The first leg is the theoretical work that sets the extant scientific ground for the empirical work to develop. The second incorporates the main (qualitative) empirical tools, i.e. 40 interviews with customers and HR managers (NVivo-analyzed), plus a critical incident technique study. The third includes the supportive tools of secondary data and an expert panel composed of industry and scholarly specialists.

EI was empirically shown to modulate the levels of customer satisfaction and to hold a critical role in the company–customer interface, albeit one that is currently and unjustly both undervalued and ineffectively controlled. The findings identify the key factors and exhibited behavioral attributes of EI within the customer service process, and they integrate all into a comprehensive framework of both scholarly and executive worth.

This study provides distinct theoretical elucidations and conceptualization that have identified and interrelated the relevant works on the subject; empirically refines the variables involved in the EI context of retail banking customer service; and culminates in the form of the proposed framework that incorporates and interrelates the findings into an empirical-data-based composition of both scholarly and executive orientation and worth.

Telemedicine, similarly to social media, accelerates information exchange, enriches information, provides better access to information and, furthermore, has an impact on mobilizing resources in business-to-business relationships. This paper aims to contribute to the understanding of the changes brought about by telemedicine, as a new technology, in patient routes.

This case study method was applied to examine five health-care protocols through their patient routes (series of activities) with and without telemedicine technology. The ARA model was applied to examine the changes telemedicine engendered in relation to activities, resources and actors. The strategy of visual mapping was applied for the comparative analysis.

The analyzed cases show that the new resources applied through telemedicine technology modified the number and substance of relevant activities and the set and role of actors who were involved. The quantity or the availability of output information increased in patient routes when new resources were added by telemedicine technology. When technology change occurred, any change in data or information systems – the two building blocks of information – could result in new or modified activities. If data that is used or produced while undertaking an activity change simultaneously along with the information system used for encrypting this data, then this “joint change” will certainly entail some kind of change in the set of activities, resources or actors that are involved. If not, then the activities continued the same as with the face-to-face protocol (without the new technology).

The novelty of the paper is that the results highlight the role of information in the extent of change in interactions induced by new technology. Findings about such changes show how information influenced by activities, resources and actors can help decision-makers in relation to the use of telemedicine.

The purpose of this paper is twofold: to identify and map contemporary research on advanced technology implementations for problem-solving purposes in the manufacturing industry, and to further understand the organizational learning possibilities of advanced technology problem-solving in the manufacturing industry.

This paper outlines a scoping review of contemporary research on the subject. The findings of the review are discussed in the light of theories of contradicting learning logics.

This paper shows that contemporary research on the subject is characterized by technological determinism and strong solution-focus. A discussion on the manufacturing industries’ contextual reasons for this in relation to contradicting learning logics shows that a Mode-2 problem-solving approach could facilitate further learning and expand knowledge on advanced technology problem-solving in the manufacturing industry. A research agenda with six propositions is provided.

The introduction of advanced technology implies complex effects on the manufacturing industry in general, while previous research shows a clear focus on technological aspects of this transformation. This paper provides value by providing novel knowledge on the relationship between advanced technology, problem-solving and organizational learning in the manufacturing industry.

This study examines the effects of both technological and non-technological innovations on the overall performance of Indian manufacturing firms, and identifies the mediation and synergy effects in the relationship between innovation and performance.

The study applies the partial least squares structural equation modelling (PLS-SEM) technique using Smart PLS3 on a combined data set from the World Bank Enterprise Survey and the follow-up Innovation Survey for India in 2014. Different newly developed statistical tests [PLS predict, importance performance map analysis (IPMA), multi-group analysis (MGA) and confirmatory tetrad analysis PLS (CTA-PLS)] have been used to check the robustness of the empirical results.

The results of the study suggest that technological innovations (product and process innovation) significantly affect a firm's overall performance, and that innovation strategy significantly mediates the effects, whereas the effects of non-technological innovations (marketing and organisational innovation) on a firm's performance are fully mediated by innovative performance. IPMA results suggest that technological innovations and their respective strategies are very important in improving a firm's performance, whereas non-technological innovations have great importance for increasing the innovative performance of the firms. The MGA results suggest that there are several distinctions in the path relationship and mediation effect among a firm's segment based on technology intensity and firm size. The study results do not find that innovation types have significant synergy effects on a firm's performance.

The study results suggest that managers should focus on technological innovations, along with their respective strategies to improve the overall performance of a firm, whereas non-technological innovations should be given priority for increasing the firm's innovative performance. Moreover, while making policy regarding innovation the people concerned should bear in mind which segment of the firms they are dealing with, as the effects differ across a firm's technology-intensity and size.

Digitalization is an element capable of improving companies’ financial performance. Despite the relevance of the topic, the financial effects associated with extensive transparency in digitalization choices have rarely been explored in extant literature. This study aims to close this important gap by examining the effect of digitalization-related information on the cost of equity capital.

This study uses manual content analysis on a sample of 122 international listed firms to measure the level of transparency in digitalization choices and a regression model to test the effect of this transparency on the cost of equity capital.

The results show that broad transparency allows firms to benefit from a lower cost of equity capital. From this perspective, disseminating information about digitalization choices in a signaling theory key represents the signal that companies send to investors.

This study extends the knowledge about the potential of transparency to facilitate access to finance by examining the effect of another type of information, namely, those relating to digitalization choices, on the cost of equity capital.