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This paper aims to investigate the motivational drivers for knowledge sharing (KS) through the application of mobile social networking (MSN) and their influence on employee productivity in the Malaysian construction industry.

The data was collected by distributing a self-administered questionnaire among employees working in the construction industry. A total of 250 questionnaires were collected and analysed using partial least squares structural equation modeling. This study used a variety of analysis methodologies including correlation analysis, reliability and validity testing, as well as a structural model in evaluating the relationships between KS, motivational factors and influence on productivity.

The empirical results of this study reveal that utilitarian motivation is positively related to internal and external KS. Similarly, internal and external KS have a positive influence on productivity, while internal and external hedonic motivation does not show any significant relationship with productivity.

Considering the paucity of evidence regarding the determinants of KS motivational drives on employee productivity in the Malaysian construction industry, this study enriches the social cognitive theory-based literature on KS.

This study provides some insights to the players in the construction industry in implementing the most appropriate KS promotion strategies that could potentially influence employee productivity. Organisations in the construction industry that place great emphasis on utilitarian motivation including competency, reward and incentives are more likely to have a better influence on KS and, in turn, positively impact employee productivity.

This study meaningfully contributes to enhancing the understanding of the motivational drivers for sharing knowledge on MSN and its influence on productivity. The findings of this study potentially assist construction practitioners in developing a holistic blueprint for managing their KS towards improving the overall productivity of their employees.

This study sought to examine how women founders navigate gender and cultural influences in constructing network ties in Jordan.

In-depth interviews document the experiences of 14 women founders operating digital technology-based businesses in Amman, Jordan.

Gender homogenous ties were perceived to be of diminished quality, limiting the ability of the women founders to acquire resources while risking isolation from diverse networks. Formal professional, male-centric ties were perceived to offer more business impact due to the applicability and usefulness of information. Formal communication, use of intermediaries and industry events were used to develop network ties. These approaches enable founders to respect gendered collectivist norms, such as adhering to family members’ expectations about occupational roles, while meeting new business associates. The strength of network ties emerged as a continuum with strong, weak and midpoint ties. Midpoint ties offered valued encouragement and emotional support but were perceived to be less effective and provided fewer resources compared to strong network ties.

Mechanisms of gender inequality are evidenced in how gender, culture and social networks operate in relation to each other. Perceptions reflect culturally situated, within-group stereotypes, informing how women founders discount other women’s knowledge and experience.

Managers must make numerous strategic decisions in order to initiate and implement a business model innovation (BMI). This paper examines how managers perceive the management team interacts when making BMI decisions. The paper also investigates how group biases and board members’ risk willingness affect this process.

Empirical data were collected through 26 in-depth interviews with German managing directors from 13 companies in four industries (mobility, manufacturing, healthcare and energy) to explore three research questions: (1) What group effects are prevalent in BMI group decision-making? (2) What are the key characteristics of BMI group decisions? And (3) what are the potential relationships between BMI group decision-making and managers' risk willingness? A thematic analysis based on Gioia's guidelines was conducted to identify themes in the comprehensive dataset.

First, the results show four typical group biases in BMI group decisions: Groupthink, social influence, hidden profile and group polarization. Findings show that the hidden profile paradigm and groupthink theory are essential in the context of BMI decisions. Second, we developed a BMI decision matrix, including the following key characteristics of BMI group decision-making managerial cohesion, conflict readiness and information- and emotion-based decision behavior. Third, in contrast to previous literature, we found that individual risk aversion can improve the quality of BMI decisions.

This paper provides managers with an opportunity to become aware of group biases that may impede their strategic BMI decisions. Specifically, it points out that managers should consider the key cognitive constraints due to their interactions when making BMI decisions. This work also highlights the importance of risk-averse decision-makers on boards.

This qualitative study contributes to the literature on decision-making by revealing key cognitive group biases in strategic decision-making. This study also enriches the behavioral science research stream of the BMI literature by attributing a critical influence on the quality of BMI decisions to managers' group interactions. In addition, this article provides new perspectives on managers' risk aversion in strategic decision-making.

Given continued debates on the potentials of newly emerging artificial intelligence (AI) like generative AI (GenAI), this study aims to contribute to corporal studies by investigating the efficacy of GenAI in improving students writing skills.

A mixed-methods research design with an experimental approach was used to elicit information from 70 undergraduate students studying at a private university. A writing course was designed and used to elicit information from the participants on the efficacy of using ChatGPT in their writing instruction.

After collecting data through experiments and interviews, the result indicates that although ChatGPT may assist students in providing ideas in writing lessons, it may not improve their overall writing skills.

This study provides empirical evidence limited to the scholarly literature on the role of ChatGPT in improving students’ writing skills. This study adds to scholarly discussions on the potential of ChatGPT which has recently sparked debates in academia.

The process of ending mental health support is often not well-attended to in practice or research, and clinicians in UK mental health services lack focused clinical guidance in this area. This paper aims to report on a service evaluation that sought to understand from clinicians working in a single adult community mental health team (CMHT) their experiences of discharge and issues arising in the process, factors considered in decision-making and what constitutes “good” endings and what support could be helpful to them in navigating this with clients.

Semi-structured interviews were completed with six members of the multi-disciplinary team and analysed thematically.

Clinicians described a range of criteria considered in discharge decision-making. Collaboration, planning and preparation were represented as key ingredients for “good” endings. Factors viewed as complicating discharge included complexity and changes in presentation, psychosocial contexts and re-referrals. Perceptions of clients’ feelings (resistance and dependence, fear and anger, relief and gratitude) and varying feelings evoked for clinicians (from little or no reported impact, to pride and confidence, sadness and worry) at the ending of the working relationship were reported. Suggested organisational supports for clinicians with endings and discharges involved opportunities to consult with colleagues, psychological formulation and advice and reflective supervision.

There has been limited empirical attention to practitioner experiences of discharge in the work of CMHTs in a UK context; this practitioner-led evaluation explored clinician perspectives.

The purpose of this study is to compare the effectiveness of two error correction methods – Model Prompt Switch Repeat (MPSR) and Error Statement, Modelling and Active student Response (ESMASR) – for teaching new skills to autistic students. This study evaluates which method results in faster and more effective skill mastery, measured by the number of trials needed to reach the mastery criterion, and assesses long-term retention of learned skills.

Using a multiple-treatment reversal design within an Applied Behaviour Analysis framework, this study involved four participants aged 13–15 years. The participants were taught using both MPSR and ESMASR methods, with data collected on how quickly they mastered new skills. Maintenance data were gathered at one and four weeks after teaching to assess skills retention.

This study found that the MPSR method led to faster and more sustained skill acquisition than ESMASR for most participants. MPSR demonstrated better long-term retention in several cases. These results emphasise the effectiveness of structured error correction procedures in improving learning outcomes for autistic students.

Because of the small sample size and focus on a specific educational setting, the findings of this study may not apply broadly. Future research should test these methods across a wider variety of learners and settings to ensure broader applicability and validation of the results.

This study’s findings offer practical strategies for educators working with autistic students, showing that structured error correction procedures like MPSR can be integrated into daily teaching to improve skill acquisition and retention. These strategies can also inform educator training and instructional planning.

This study contributes to a more inclusive education system by offering evidence-based methods that help autistic students succeed. By identifying effective teaching techniques, this research supports efforts to ensure equal educational opportunities for neurodivergent learners.

This study fills a gap in research by comparing two specific error correction methods in an ABA setting, providing fresh insights into which strategies most effectively promote skill acquisition and long-term learning in autistic students. This study also offers practical guidance for educators seeking evidence-based methods to improve student outcomes.

This paper aims to explore how homeworking influences employee engagement in a German service company during the COVID-19 pandemic and to provide recommendations for organisations on how to secure employees’ engagement remotely.

This paper adopts a qualitative research design in a case study setup with a German service company. A refined framework links homeworking and engagement based on the data collected from interviews and surveys.

This paper identifies several factors that affect engagement whilst homeworking, such as work–life balance, family, work intensification, team environment, leadership, organisational activities and flexible working arrangements. The paper also proposes a refined framework that links homeworking and engagement and offers practical implications for organisations.

This paper is based on a small and homogeneous sample from one service company in Germany, which limits the generalisability of the findings. Future research could use larger and more diverse samples, longitudinal designs and quantitative methods to examine the impact of homeworking on engagement.

This paper contributes to the scarce literature on homeworking and engagement by providing new and up-to-date insights into the homeworking experience and its effect on engagement in the context of the COVID-19 pandemic. The paper also offers useful suggestions for organisations on how to adapt their practices and policies to secure engagement in a remote work environment.