Search results

This article explores four dimensions of frontline employee (FLE) friendliness (humorous, informal, conversational, and approachable) to propose a relevant measurement instrument of the influence of FLE friendliness on relationship quality and perceived value, as well as its indirect influence on repatronage intentions. Recent studies suggest FLE friendliness, defined as a tendency to convey an affective customer–employee social interaction, is a critical determinant of relationship marketing, but few scholars agree on its dimensionality. This study seeks a deeper understanding of FLE friendliness by investigating its different dimensions in various service contexts.

The mixed-method design, including both qualitative and quantitative research, offers a deeper understanding of the phenomenon of FLE friendliness.

The content analysis suggests FLE friendliness is multidimensional and composed of humorous, informal, conversational, and approachable behaviors. The results of a quantitative survey, conducted across four service contexts, validate this four-factor model. A second quantitative survey across two service contexts reveals the weights and relative importance of the dimensions, and then a third quantitative survey across three service contexts confirms that FLE friendliness is a significant driver of relationship quality, perceived value, and repatronage intentions (indirectly).

This study contributes to relationship marketing literature by strengthening the conceptual foundations of FLE friendliness, clarifying the dimensionality of the construct, developing a comprehensive measurement instrument, and extending previous research on the customer–employee interactions.

We aimed to identify factors that influence student engagement in distance learning.

The research involved a group of 671 students from economic and technical higher education institutions in Poland. We collected the data with the CAWI technique and an original survey. Next, we processed the data using principal component analysis and then used the extracted components as predictors in the induced smoothing LASSO regression model.

The components of the students’ attitude toward remote classes learning conditions are: satisfaction with teachers’ approach, attitude to distance learning, the system of students’ values and motivation, IT infrastructure of the university, building a network of contacts and communication skills. The final model consisted of seven statistically significant variables, encompassing the student’s sex, level of studies and the first five extracted PCs. Student’s system of values and motivation as well as attitude toward distance learning, were those variables that had the biggest influence on student engagement.

The research result suggests that in addition to students’ system of values and motivation and their attitude toward distance learning, the satisfaction level of teachers’ attitude is one of the three most important factors that influence student engagement during the distance learning process.

The main value of this article is the statistical model of student engagement during distance learning. The article fills the research gap in identifying and evaluating the impact of various factors determining student engagement in the distance learning process.

The purpose of the paper is to present an integrated methodology for identifying trends in a particular subject area based on a combination of advanced text mining and expert methods. The authors aim to test it in an area of clinical psychology and psychotherapy in 2010–2019.

The authors demonstrate the way of applying text-mining and the Word2Vec model to identify hot topics (HT) and emerging trends (ET) in clinical psychology and psychotherapy. The analysis of 11.3 million scientific publications in the Microsoft Academic Graph database revealed the most rapidly growing clinical psychology and psychotherapy terms – those with the largest increase in the number of publications reflecting real or potential trends.

The proposed approach allows one to identify HT and ET for the six thematic clusters related to mental disorders, symptoms, pharmacology, psychotherapy, treatment techniques and important psychological skills.

The developed methodology allows one to see the broad picture of the most dynamic research areas in the field of clinical psychology and psychotherapy in 2010–2019. For clinicians, who are often overwhelmed by practical work, this map of the current research can help identify the areas worthy of further attention to improve the effectiveness of their clinical work. This methodology might be applied for the identification of trends in any other subject area by taking into account its specificity.

The paper demonstrates the value of the advanced text-mining approach for understanding trends in a subject area. To the best of the authors’ knowledge, for the first time, text-mining and the Word2Vec model have been applied to identifying trends in the field of clinical psychology and psychotherapy.

Existing research indicates that collective identity is critical in sustaining social movements, especially in the face of significant opposition. We extend this literature by analyzing the ways collective identity evolves and develops over time to combat external barriers and obstacles. Drawing from a unique dataset on activists in the post-communist Czech environmental movement, we analyze how women rallied around their gendered identity to protest against nuclear power. Our analysis focuses on the case of the South Bohemian Mothers (Jihočeské matky), an organization that rallied specifically around the protection of children and healthy communities. The activists faced extensive obstacles including: post-communist patriarchal institutions and sexism; the South Bohemian Daddies, a male-dominated pro-nuclear countermovement; and pervasive anti-environmentalist sentiments. Our results highlight the complex and evolutionary nature of collective identity and the role it can play in sustaining activism in the face of external challenges.

This conceptual chapter aims to understand the role of artificial intelligence (AI) in value co-creation phenomena in a healthcare service ecosystem, through a literature review and the definition of a conceptual framework. AI, as an operant resource, can stimulate a completely patient-centered, adaptive and resilient healthcare system, and governance models in healthcare based on data-driven decision-making (DDDM), ensuring faster choices, more timely diagnosis and more personalized treatment paths. However, the full implementation of AI in healthcare is inhibited by some frictions, mainly related to the risk that the AI black box may generate an inadequate automatic decision, also due to the quality of data used, often partial and unstructured given the reluctance to share them by patients concerned by privacy threats. The co-design (multi-part and multi-level) of a predictive decision model based on the functional transparency of the AI algorithm would allow for augmented decision as result of an effective human–machine interaction. Healthcare actors could thus make decisions using the information detected by the software (based on clear cause-and-effect correlations and modifiable variables in case of mistakes), integrated with their professional knowledge. This would also help to strengthen the patient’s perception of the decision’s reliability and accuracy and the safety of the tool (factors that can affect his/her trust). AI may be considered as a driver for value co-creation in healthcare, thanks to transparency. It would allow the promotion of collaborative behaviors involving actors by generating new institutions and new resource integration practices among them.

This paper looks at some of the major trends in the UK newspaper industry – circulation shifts, format changes, ethical controversies, the re‐emergence of the frees, the revival of the alternatives – in the context of the debate over trust in the mainstream media and political elites. It also identifies the elements of authentic communication that are needed for trust to exist between the newspaper writer/producer and the reader. The radical newspapers of the early 19th century are presented as examples of authentic journalism. While there are opportunities for the development of authentic journalism within the mainstream, it is suggested that the internet and today’s alternative press are opening up the best possibilities for the development of trustworthy media.

The purpose of this paper is to understand the impact of transformational leadership (TL) on follower emotional intelligence (EI) and examine the potential mediation role played by follower EI in the relationship between TL and follower outcomes (i.e. growth satisfaction in the job and job stress (JS)).

Data were obtained through survey using questionnaire collected from 908 employees who worked across six different sectors, i.e. manufacturing, IT, healthcare, hospitality, educational and public services in Southern India. The mediation model proposed in this study was tested using structural equation modelling and bootstrapping method.

The relationship between TL and Follower EI was significant. Follower EI was found to partially mediate the relationship between TL and followers’ growth satisfaction in job. Contrary to expectations, the follower EI did not significantly predict JS in this study and hence the follower EI did not mediate in the proposed model. However, follower EI and growth satisfaction in the job jointly mediated the relationship between TL and follower JS fully.

Self-report bias about supervisors’ TL behaviours and followers’ own EI assessment and collection of data from the mono-source (subordinate self-report) might have impacted the results of this study. Moreover, some items were negatively worded and reverse coded as cognitive speed bumps to restrain the respondent’s tendency to rush through answering the survey questionnaire.

This study established a partial and joint mediation of follower EI on the relationship between TL and follower outcomes. Basing on these findings, this study highlights the need for the practitioners to better understand the importance of EI training for the leaders in the organisations for obtaining better outcomes in the followers.

The study establishes the fact that the attunement of transformational leaders’ EI and follower EI help leaders as well as followers to guide their behaviour towards positive outcomes.

This study is among the first to examine the impact of TL on follower EI and the potential mediation of follower EI between TL and follower outcomes. From a theoretical perspective, this study is one step closer to fully understand the intervening process between TL and follower outcomes.