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This study addressed a relatively understudied process of school leadership: the principal-teacher conversation about instructional change. Two distinct conversation structures were examined: controlling conversation and transformative leadership conversation (TLC). Self-determination theory (SDT) was used to make the case that TLC is a better fit for instructional change than controlling conversation. Hypotheses were developed on the relationship between principal-teacher conversation and teacher trust in the principal, teacher autonomy and teacher vitality. These mental states were identified for empirical testing because of their influence on change processes.

The empirical study used a correlational research design with survey data. The data came from a random sample of 2,500 teachers from the population of certified teachers in a southwestern state in the USA. Useable survey responses were obtained from 1,615 teachers, for a response rate of 65 percent. Teachers in the sample averaged 15 years of teaching experience, with 7 years in their current school. Around 81% of teachers identified as female and 18 percent as male and 79% of teachers listed a racial identification as white. Hypotheses were tested in a path model using AMOS 28.0 with robust maximum likelihood (MLR).

As hypothesized, TLC had moderate to strong positive relationships with teacher trust in the principal, teacher autonomy and teacher vitality. Controlling conversation had small, negative relationships with teacher trust in the principal and teacher autonomy. Controlling conversation was not related to teacher vitality in the path analysis. Compared with controlling conversation, TLC had stronger relationships with teacher mental states.

The results of this study begin to reveal useful evidence on the inherent social-psychological mechanisms active in principal-teacher conversations. With results indicating that conversation structure has consequences for positive teacher mental states, the study directs attention to a ubiquitous yet understudied leadership process.

Service research offering a view of both the dark and bright sides of smart technology remains scarce. This paper embraces a critical perspective and examines the conflicting outcomes of smart services on the customer experience (CX), with a specific focus on chatbots.

This study uses empirical research methods to examine a single case study where an online retail service provider implemented a chatbot for customer service. Using discourse analysis, we analysed 7,167 conversations between customers and the chatbot over a two-year period.

The analysis identifies seven general themes related to the effects of the chatbot on CX: interaction quality, information gathering, procedure literacy, task achievement, digital trust, shopping stress and shopping journey. We illuminate both positive (i.e. having a pleasant interaction, providing information, knowing procedures, improving tasks, increasing trust, reducing stress and completing the journey) and negative outcomes (i.e. having an unpleasant interaction, increasing confusion, ignoring procedures, worsening tasks, reducing trust, increasing stress and abandoning the journey).

The paper develops a comprehensive framework to offer a clearer view of chatbots as smart services in customer care. It delves into the conflicting effects of chatbots on CX by examining them through relational, cognitive, affective and behavioural dimensions.

Customer service conversations are becoming increasingly digital and automated, leaving service encounters impersonal. The purpose of this paper is to identify how customer service agents and conversational artificial intelligence (AI) applications can provide a personal touch and improve the customer experience in customer service. The authors offer a conceptual framework delineating how text-based customer service communication should be designed to increase relational personalization.

This paper presents a systematic literature review on conversation styles of conversational AI and integrates the extant research to inform the development of the proposed conceptual framework. Using social information processing theory as a theoretical lens, the authors extend the concept of relational personalization for text-based customer service communication.

The conceptual framework identifies conversation styles, whose degree of expression needs to be personalized to provide a personal touch and improve the customer experience in service. The personalization of these conversation styles depends on available psychological and individual customer knowledge, contextual factors such as the interaction and service type, as well as the freedom of communication the conversational AI or customer service agent has.

The article is the first to conduct a systematic literature review on conversation styles of conversational AI in customer service and to conceptualize critical elements of text-based customer service communication required to provide a personal touch with conversational AI. Furthermore, the authors provide managerial implications to advance customer service conversations with three types of conversational AI applications used in collaboration with customer service agents, namely conversational analytics, conversational coaching and chatbots.

Based on stimulus-organism-response theory, this study aims to explore how digital service communication strategies affected customers’ e-service agent use intentions through perceived warmth and competence.

A 2 × 2 scenario-based experiment was conducted to test the proposed relationships.

Findings indicated when a high-authority conversation party was engaged in digital service communications, customers showed higher e-service agent use intentions through perceived warmth and competence in an emoji-presence conversation style.

To the best of the authors’ knowledge, this study is the first to explore the effects of digital service communication strategies on customers’ internal and behavioral responses.

基于刺激-有机体-反应理论, 本研究探讨了数字服务沟通策略如何通过感知亲切和感知能力的方式影响了顾客对电子服务代理的使用意愿。

本研究进行了一项基于2x2情境的实验, 以测试所提出的关系。

研究结果表明, 当高权威的对话方参与数字服务沟通时, 顾客在表情存在的对话风格中通过亲切和能力的认知表现出更高的电子服务代理使用意愿。

本研究调查了对话方和对话方式作为数字服务沟通策略在顾客-数字服务互动中的影响。

本研究是第一个探讨数字服务沟通策略对顾客内部和行为反应影响的研究。

This paper aims to investigate how school-based mentors and preservice teachers (PTs) perceive mentoring conversations when applying a set of newly developed digital tools accompanied by discursive tools in mentoring in practicum.

This study performed a thematic analysis of 12 interviews (5 with mentors and 7 with PTs) to explore how the participants perceived mentoring conversations when applying a combination of digital and discursive tools in school-based mentoring conversations. This study uses a model of adaptive expertise to discuss the findings.

This analysis revealed that the tools could alter the typical order of mentoring conversations. Mentors reported a change in their mentoring routines in which mentees took a more active role in conversations. The use of tools also allowed for richer conversations. From the perspective of PTs, the tools provided a structure for mentoring sessions, provided an alternative opening for mentoring conversations and enhanced their awareness of certain aspects of their own teaching.

This study's results suggest that the application of tools in mentoring enhances mentoring by facilitating reflection among PTs and mentors and fostering the development of adaptive expertise.

This study investigates associations between Facebook (FB) conversations and self-reports of substance use among youth experiencing homelessness (YEH). YEH engage in high rates of substance use and are often difficult to reach, for both research and interventions. Social media sites provide rich digital trace data for observing the social context of YEH's health behaviors. The authors aim to investigate the feasibility of using these big data and text mining techniques as a supplement to self-report surveys in detecting and understanding YEH attitudes and engagement in substance use.

Participants took a self-report survey in addition to providing consent for researchers to download their Facebook feed data retrospectively. The authors collected survey responses from 92 participants and retrieved 33,204 textual Facebook conversations. The authors performed text mining analysis and statistical analysis including ANOVA and logistic regression to examine the relationship between YEH's Facebook conversations and their substance use.

Facebook posts of YEH have a moderately positive sentiment. YEH substance users and non-users differed in their Facebook posts regarding: (1) overall sentiment and (2) topics discussed. Logistic regressions show that more positive sentiment in a respondent's FB conversation suggests a lower likelihood of marijuana usage. On the other hand, discussing money-related topics in the conversation increases YEH's likelihood of marijuana use.

Digital trace data on social media sites represent a vast source of ecological data. This study demonstrates the feasibility of using such data from a hard-to-reach population to gain unique insights into YEH's health behaviors. The authors provide a text-mining-based toolkit for analyzing social media data for interpretation by experts from a variety of domains.

To explore human resource (HR) practitioner perspectives of the effectiveness, challenges, and aspirations of the performance management (PM) system to inform future directions for PM design and success.

Interviews with 53 HR practitioners from a cross-section of organisations operating in the United Kingdom, Canada and New Zealand.

Practitioner's discussed the criticality of effective conversations across all elements of the PM system. Using an interpretive approach, and through a lens of social exchange theory (SET), we used their voice to develop a conversations-based PM model. This model centres on effective performance conversations through the design and implementation of the PM system. It includes four enablers and five environmental elements. The enablers (aligned goals, frequent feedback, skills development, and formality) depend on skilled interactions and conversations, and the organisational environmental elements (design, development function, buy-in, culture, and linkage to other systems) are enhanced when effective conversations take place.

Practitioners can use the conversations model to help shape the way they design and implement PM systems, that place emphasis on upskilling participants to engage in both formal and informal honest conversations to build competency in the enablers and assess organisational readiness in terms of the environmental elements.

By listening to the under-utilised voice of the HR practitioner, and through a lens of SET, we developed a PM model which emphasises reciprocity and relationship building as key tenets of the PM system. While past research recognises the importance of effective conversations for PM implementation, it has largely silent been about the role of conversations in system design. Our model centres these conversations, presenting enablers and environmental elements to facilitate their core position within effective PM.

This paper investigates the ways managing directors (MDs) in small and medium-sized enterprises (SMEs) involve employees in strategic conversations. The paper examines how managers interact with employees in strategic conversations, and why the managers do so (or do not), to generate empirically grounded knowledge about the nature of internal openness in SMEs.

This study employs a general inductive approach and is based on in-depth interviews with 60 Swedish MDs with development and growth ambitions.

The paper develops a model of employee involvement in strategic conversations based on the nature and intensity of the MD–employee interaction. A key finding is that SMEs exhibit wide variation in terms of employee involvement, from virtually no employee involvement to, in some cases, far-reaching company democracy. The reasons for this variation are complex, but personal preferences and company size are shown to have an impact, as does, to some degree, ownership structure. In contrast to existing research, the limitations and drawbacks of involving employees in strategic conversations are outlined.

The study provides important insight into MDs' views and practices of internal openness in strategic conversations in SMEs. A model of employee involvement in strategic processes is outlined, and potential limitations of internal openness are highlighted.

Short breaks enable unpaid carers to have a life alongside caring, supporting their physical and emotional well-being. In the UK, short breaks are usually explored during a Carers Assessment. The conversations underpinning these assessments require considerable skill and presently there are few tools to support the exploration of short break needs, desired outcomes and options. Images are used in other conversations to enhance communication, help people consider options and broaden thinking. This study aims to explore whether and how stakeholders thought images might support short break conversations.

To improve access to meaningful short breaks, we need to be guided by the insights of unpaid carers, those they support, practitioners, commissioners and policymakers. We hosted two online involvement events, designed to facilitate the exchange of perspectives and ideas amongst diverse stakeholders. The events explored the acceptability, facilitators and challenges of using images to enhance unpaid carer short break conversations.

The online events were attended by 47 short break stakeholders. These stakeholders saw merit in using images to support short break conversations. They identified several facilitators and challenges to introducing images into practice. The paper highlights how this learning can inform future research and practice development.

Supporting the well-being of older unpaid carers is a pertinent concern as the number of older unpaid carers continues to grow. This paper reports on how stakeholders have informed the earliest stages of practice and research development in a relevant area and provides a model of involvement that others can emulate.

The study begins by defining and conceptualizing Transformative Leadership Conversation (TLC). The conceptualization addresses the meaning of transformation, sensemaking and learning dialogue, and the conversation structures of framing, questioning and listening, and affirming. Next, the authors build a theoretical argument from self-determination theory on the function of TLC. The study concludes with an empirical test of the structure and function of TLC.

There were two parts to the empirical study. First, the authors designed and tested a scale to measure TLC by its structural features (e.g. questioning, listening and affirming language). Second, the authors used a correlational design with ex-post facto data to test the primary assumption that TLC activates autonomous motivation and action. Data came from a random sample of 2,500 teachers in a southwestern state. Useable responses were obtained from 1,615 teachers, for a response rate of 65%.

The empirical tests reveal that the 12-item and 6-item measure of the School Leader Transformative Conversation Scale present valid and reliable evidence on the frequent use of TLC. Consistent with the hypothesized model, TLC had a direct, positive relationship with teacher vitality. It also had a negative relationship with autonomy frustration and a positive indirect effect on teacher vitality by reducing the negative effect of autonomy frustration.

TLC advances a new conceptual lens to study school leadership as a discursive process. The concept opens lines of inquiry that have not yet been examined in school settings.