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This paper presents a novel exploration of the story completion (SC) method for investigating perpetration of technology-facilitated abuse in relationships (TAR).

The authors adopted the infrequently used SC method to explore TAR perpetration. The perpetration of TAR can involve socially undesirable and potentially illegal behaviours such as online stalking, non-consensual sharing of nude images, and other coercive and controlling behaviours. These problematic behaviours present an ideal context for employing the SC method to reveal new data on TAR perpetrator perspectives, motivations and behaviours.

The SC method elicited new hypotheses regarding TAR perpetration behaviours and motivations. Post-study reflection on the multifaceted nature of perpetration raised questions about the utility of SC as a stand-alone method for investigating TAR perpetration. Challenges encountered included: striking the most effective length, detail and ambiguity in the story stems, difficulty in eliciting important contextual features in participants’ stories, and other issues scholars encounter when investigating perpetration of violence more broadly. The authors close with suggestions for more effective use of SC methodology in TAR and intimate partner violence research.

This paper expands discussion of the SC method’s application and extends scholarship on violence and perpetration research methodologies. The paper demonstrates the importance of story stem design to the attainment of research objectives and the usefulness and limitations of SC in exploring this sensitive topic and hard-to-reach population. It also advocates for the combined application of SC with other methodological approaches for the attainment of research outcomes when investigating multifaceted phenomenon.

The purpose of this paper is to comment on how responses to gender-based violence (GBV) in higher education (HE) changed as a function of COVID-19. Since the original lockdown directive was issued by the UK Government in March 2020, there was an acute awareness of the impact the stay-at-home order could have on prevalence and patterns of GBV, with technology-facilitated sexual violence and domestic abuse being of particular concern (Universities UK, 2020).

We give the illustrative example of our learning (from 2020 to 2022) around how we have changed our approach to supporting survivors to access information and support, and the conduct of investigations during this period.

For HE Institutions who were quick and keen to embrace online teaching, there was a necessity to recognise that this change in learning environment may bring an increase in online forms of sexual misconduct, and additional challenges associated with supporting survivors who were often remote from university campus. Subsequently, and swiftly, responses to GBV in HE (including formal investigations where requested) needed to change to ensure those who were subjected to sexual misconduct could access support and information, in the knowledge that they would not be disadvantaged by bringing their reports forward during a time of global uncertainty.

An insight is provided on the changes adopted to respond to GBV on campus during the early pandemic, and the impact that these changes have had to the provision of specialist service delivery over two years on.

Social entrepreneurship (SE) is a complex phenomenon designed to resolve numerous societal challenges while remaining economically viable. However, how social entrepreneurs in developing countries have deployed digital technologies to address communal challenges during the Covid-19 crisis is largely undocumented. This research examines social entrepreneurs' adoption of digital technologies, the multi-level organisational conditions, and associated innovative outcomes of engaging digital technologies.

Based on the organisational resilience theoretical framework, this research employs a qualitative methodology, comprising 38 semi-structured interviews with Nigerian SE firms, to investigate social entrepreneurs' engagement with digital technologies.

The study’s findings reveal 19 pathways through which digital technologies enabled organisational resilience outcomes by Nigerian SE firms during the Covid-19 pandemic. This allows the authors to show, via a 3 × 3 matrix, how social entrepreneurs deploy digital technologies to build proximate, dynamic, and continuous resilience in a weak institutional context.

The study’s findings enables the authors to advance the SE – digital technologies – resilience scholarship in a developing economy.

This study aims to apply the service robot acceptance model (sRAM) to examine how attitude toward human–robot interaction (HRI) and engagement influence consumer acceptance of service robots in a frontline setting.

Data was collected from 255 visitors who interacted with a robotic tour guide at a city museum. The data was analyzed using smart PLS 4.0.

The findings show the positive effects of subjective norms, appearance, perceived trust and positive emotion on both attitude toward HRI and engagement. In addition, social capability impacted attitude toward HRI, whereas perceived usefulness affected engagement.

To deliver engaging museum experiences that bring about positive word-of-mouth and intention to visit, managers need to incorporate the sRAM dimensions in the design and deployment of service robots.

This research uses field data to empirically validate the sRAM in the context of service robot acceptance. It introduces engagement as a novel mediating variable, enriching current understanding of human-like qualities in HRIs.

While the importance of human touch for maintaining a tech–touch balance has been stressed, little knowledge exists regarding how such human elements should be incorporated in service settings dominated by technologies. This study aims to examine the outcomes of human touch levels across different travel stages in a hotel stay context.

Data were collected through a survey on 900 participants. Latent class analysis was first conducted to categorize the sample into groups based on human touch levels. Hypotheses were then tested using regression-based moderation analysis with the PROCESS macro for SPSS.

Human touch level negatively predicts perceived risk, which is negatively associated with satisfaction. These effects are particularly significant at check-in and check-out stages. Informational privacy significantly moderates the effect of human touch level on perceived risk. Such interaction effects were spotted at the booking and check-out stages.

This study contributes to theory by revealing the role of human touch elements in technology-driven service scenarios and provides practical guidelines for hotels on sharpening service experience by integrating human touch and technology elements.

Through integrating the service encounter framework and concept of customer touchpoints, this study takes a different approach that integrates both “tech” and “touch” by investigating the effects of customer-owned touchpoints in each core stage of a hotel stay journey.

This study aims to investigate Generation Z’s perception of and experience with restaurant service robots.

Established on the servicescape theoretical framework and following Zaltman Metaphoric Elicitation Technique, 34 in-depth interviews were conducted with Generation Z consumers.

The results showed that Generation Z consumers had a generally positive attitude toward the usage of service robots in restaurants. Research participants also indicated aspects that can be improved: the service robot’s appearance design and functionality, and the human service facilitating the robotic service process.

This paper provides a holistic understanding of the Generation Z’s mind maps about robot service restaurants presenting practical suggestions for restaurants.

This research offers an in-depth understanding of how the young consumption power perceives and expects the innovative service robots employed in restaurants. The research findings provide industry practitioners with timely guidelines to improve the usage of robotic services in restaurants to satisfy the emerging consumer group of Generation Z.

The current research contributes to the servicescape literature by extending this long-standing theory to the emerging robotic service contexts for updating discoveries. Particularly, the study focuses on the young consumers of Generation Z, shedding lights on the generational cohort research.

本研究调查了 Z 世代对餐厅服务机器人的看法和体验。

建立在服务场景理论框架之上, 并遵循 Zaltman 隐喻启发技术, 对 Z 世代消费者进行了 34 次深入访谈。

结果表明, Z 世代消费者对在餐厅使用服务机器人持普遍积极态度。 研究参与者还指出了可以改进的方面：服务机器人的外观设计和功能, 以及促进机器人服务过程的人工服务。

这项研究深入了解了年轻的消费力量如何看待和期望在餐厅使用的创新服务机器人。 研究结果为行业从业者提供了及时的指导方针, 以改善机器人服务在餐厅的使用, 以满足 Z 世代的新兴消费群体。

当前的研究通过将这一长期存在的理论扩展到新兴的机器人服务环境以更新发现, 从而为服务景观文献做出贡献。 特别是, 该研究侧重于 Z 世代的年轻消费者, 阐明了世代队列研究。