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Social networking sites (SNS) have become popular mediums for individuals to interact with others. However, despite the positive impact of SNS on people’s lives, cyberbullying has become prevalent. Due to this prevalence, substantial research has examined cyberbullying from the perspectives of perpetrators, bystanders, and victims, but little is known about SNS users’ confrontations with cyberbullying. The objectives of this study are to examine confrontation as a victim’s coping response, the effect of blockability affordance on victims’ protection motivation, the impact of a victim’s experiences with cyberbullying perpetration, and social desirability (SD) bias in the context of cyberbullying victimization.

This study examines the effect of blockability affordance on SNS users’ protection motivation. It also investigates the relationships among perceived threat, perceived coping efficacy, and use of confrontation. Furthermore, this investigation analyzes the effect of SNS users’ experiences as perpetrators on their decision to confront cyberbullies. Finally, this study assesses and controls SD bias in SNS users’ confrontation behavior. To test the research model, we used an online vignette study to collect 314 data points.

Blockability affordance, perceived threat, perceived coping efficacy, and cyberbullying perpetration experiences are essential factors in explaining use of confrontation. This study also finds SD bias in the context of cyberbullying victimization.

This is one of the first studies in information systems research to empirically examine the effect of blockability affordance in the context of cyberbullying.

Building information modelling (BIM) and augmented reality (AR) are unique technologies in the digitalized construction industry. In spite of the numerous benefits of BIM-AR, its adoption has been at a relatively slow pace. The purpose of this study is to investigate how the factors within technology–organization–environment (TOE) framework influence the adoption of BIM-AR in the context of construction companies in a developing country.

By using a mainly deductive quantitative design, survey data were collected from senior management of built environment companies in Ghana using questionnaires. The study adopted a mixture of both purposive and snowball sampling approaches. Partial least squares structural equation modelling was used to analyse how the factors within the TOE framework explain BIM-AR adoption in Ghana.

Findings from the study show that the top three factors within the TOE framework that facilitate the adoption of BIM-AR include ICT infrastructure within construction firms; the size of the construction firm, which may influence the financial capacity to accommodate BIM-AR; and competitive pressure. The inhibitors of BIM-AR at the company level included external support and trading partners’ readiness.

Implicit is that the significant factors will be useful to policymakers and companies in developing programs that appeal to non-adopters to aid in mitigating their challenges and further enhance BIM-AR adoption.

The value of this paper has been the use of the theoretical framework TOE to explain the adoption factors of BIM-AR in the Ghanaian construction industry. The originality of the paper is further anchored in consideration of BIM-AR, which is quite nascent in emerging countries.

Racial wealth inequality is a significant and growing issue in the USA. Improving the lagging rate of black new venture creation and successful entrepreneurship could help close the gap. The purpose of this paper is to focus needed attention on the financial challenges resulting from institutional and systemic discrimination that black entrepreneurs must deal with. Following this literature review, the paper makes recommendations and broad public policy suggestions.

This study conducts a literature review and discusses the myriad of reasons black entrepreneurs struggle with inadequate access to capital, with special emphasis on weaker entrepreneurial ecosystems that have resulted from systemic racism.

The paper sheds light on several factors which continue to directly impede successful black entrepreneurship including discrimination in lending, distrust in institutions, over-reliance on (inadequate) personal capital and declining black-owned banking and financial institutions, as well as community banking options in black communities.

The paper is conceptual and relies on prior literature. The proposed solutions are just a starting point and are certainly not meant to be all-inclusive or comprehensive. Much future research, particularly longitudinal research, is needed to further develop theory and specific public policies which can close the disparities this study has discussed. This study outlines several key areas in need of further quantitative and qualitative studies to better understand black entrepreneurship.

The US economy will increasingly suffer if the nearly 15% of population (and growing) made up of black communities continues to struggle. The broad-based policy solutions proposed in this paper would allow for increased access to capital that would address the long-term deficiencies and help to close the racial wealth gap.

Through this study’s broad-based potential solutions, entrepreneurial ecosystems can be strengthened to build the environment for successful new venture creation in black communities. The longer-term benefit would be increased tax revenues, improved communities with fewer individuals needing support through government assistance and greater social stability as economic gaps between various racial groups are closed.

Using a broader entrepreneurial ecosystem framework and a systemic racism theory lens, this study discusses the limited capital black entrepreneurs have access to. Following this literature review, this study offers broad-based policy solutions that can strengthen ecosystems and directly address the issues raised in the paper.

The primary aim of this paper is to concurrently use the data types to enhance econometric analysis in the housing market in developing countries, particularly Namibia.

Scholarly discussions on econometric analysis in the housing market in sub-Saharan Africa suggest that the inadequacy of time series data has impeded studies of such nature in the region. Hence, this paper aims to comparatively analyse the impact of economic fundamentals on house prices in Namibia using real and interpolated data from 1990 to 2021 supported by the ARDL model.

It was discovered that in all the three types of data house prices were affected by fundamentals except real GDP in the long term. It was also noted that there were not much significant variations between the real data and the interpolated data frequencies. However, the results of the annual data and the semi-annual interpolated data were more analogously comparable to the quarterly interpolated data

It is suggested that the adoption of interpolated data frequency type should be based on the statistical significance of the result. In addition, the need to monitor the nexus of the housing market and fundamentals is necessary for stable and sustainable housing market for enhanced policy direction and prudent property investment decision.

The study pioneer to concurrently use the data types to enhance econometric analysis in the housing market in developing countries.

This study attempts to examine how employee orientations and paranoid arousal intersect and influence the voice behaviors of employees, as they significantly influence workplace practices.

Drawing on a multi-source and multi-time-based survey, the data were collected from 37 supervisors and 270 employees in 80 branches of 11 microfinance banks. SmartPLS-4.1 was used to test the measurement and structural model. A total of 307 questionnaires were used for the data analysis.

This research presents the contrasting results of employee orientations with voice behavior. Results support the direct relationship between paranoid arousal and promotive-prohibitive voice behaviors. However, no support was found for approach-avoidance orientation and promotive-prohibitive voice behaviors.

Employees' ability to voice-out in organizations depends on several motivational factors, consolidated into three areas – organizational culture, leadership, and individual traits. Organizations must implement a culture of transparency and open communication. Participative and inclusive leadership styles increase the quality of relationships with employees, stimulating a promotive voice. A support system for employees is needed to advance in their careers, increasing promotive behaviors.

The study adds value to the existing body of knowledge by studying approach-avoidance orientations and voice behaviors through the lens of paranoid arousal in the framework.

Our study was designed to investigate the longitudinal trajectories of student leader development capacities in a sample of students enrolled in multiple leadership-focused courses across several semesters. Our goal was to assess the degree to which course enrollment was associated with growth over the time that students engage as undergraduates in academic leadership programs, and if so, to assess the shape and speed of capacity change.

We utilized a multilevel intra-individual modeling approach assessing students’ motivation to lead, leader self-efficacy, and leadership skills across multiple data collection points for students in a campus major or minor focused on leadership studies. We compared an unconditional model, a fixed effect model, a random intercept model, a random slope model, and a random slope and intercept model to determine the shape of score trajectories. Our approach was not to collect traditional pre-test and post-test data – choosing to collect data only at the beginning of each semester – to reduce time cues typically inherent within pre-test and post-test collections.

Our results strongly suggested that individual students differ greatly in the degree to which they report the capacity to lead when initially enrolling in their first class. Surprisingly, the various models were unable to predict a pattern of longitudinal leader development through repeated course enrollment in our sample.

Our investigation employed statistical methods that are not often utilized in leadership education quantitative research, and also included a data collection effort designed to avoid a linear pre-test/post-test score comparison.

Despite smart construction technology's great potential to improve the productivity of the architectural, engineering and construction (AEC) industry, the implementation of smart construction technology has failed to achieve the expected benefits due to the negative usage behaviors of construction enterprise employees. This study aims to identify the determinants and their configuration effects on the smart construction technology usage behavior (SCTUB) based on the Technology-Organization-Environment (TOE) framework. This study then verifies the practical paths to improve the employee's SCTUB from the configuration perspective.

A mixed-method approach involving survey and qualitative comparative analysis (QCA) is conducted in this study. Based on the detailed literature review and semi-structured interview, this study identifies the factors and proposes the TOE framework to determine the configuration conditions affecting employee's SCTUB and verify practical paths to promote this user behavior.

The TOE framework's technical, organizational and environmental elements are interdependent. The emergence of a high SCTUB is not determined by a single determinant but by configuration conditions. Four equifinal conditions (e.g. organization-technology type, technology-organization type, environment type and organization-technology balanced type) are verified to promote construction enterprise employee's SCTUB.

The four verified configuration conditions could guide construction enterprises to formulate complementary strategies for promoting the construction enterprises' employees to implement smart construction technology and achieve the enterprise's digital transformation.

The inter-dependence of the three-dimension factors, namely technical, organizational and environmental elements are explored to enrich the literature on the TOE framework. Meanwhile, the configuration effects of these factors on usage behavior are identified, expanding the literature on the information technology acceptance model.

Generative artificial intelligence (GAI) has seen exponential growth in recent years due to its capability to generate original content through natural language processing and comprehensive language models. This paper aims to investigate the transformative impact of GAI on higher education, focusing on the evolving roles of faculty in the classroom.

Using a phenomenological perspective and a process approach, the study involved 25 semi-structured interviews with academicians in higher education.

The findings reveal that GAI currently creates biased and commercially driven learning environments, challenging traditional pedagogical models. Despite its potential for enhancing education, the autonomous nature of GAI often prioritizes commercial interests over pedagogical goals.

The study is limited to faculty perspectives, suggesting future research should include student viewpoints and diverse educational contexts.

The study highlights the need for higher education institutions to develop comprehensive policies, provide training for faculty and students and design new courses that leverage GAI for personalized learning experiences and enhanced faculty research.

This paper contributes to the emerging literature on GAI’s impact on education, highlighting its dual nature as both a transformative tool and a potential threat to traditional educational roles and outcomes.

Access to clean drinking water is a major encumbrance in developing countries. In Ghana, urban water supply is below internationally recognised standards, especially among the urban poor, sub-urban and rural communities. Stakeholders and institutional inefficiencies may be hindrances facing the Ghanaian water supply process. Therefore, this study aims to appraise the motivational factors and outcome of stakeholders’ engagement and identify the factors that influence effective institutional management of urban water supply in Ghana.

Sequential exploratory mixed methods were adopted and analysed to proffer answers to the research questions. Nineteen participants and 521 respondents were sampled for the qualitative and quantitative phases.

Findings reveal that the institutional processes and stakeholder engagement significantly influence the effectiveness of the management of urban water supply in Ghana. Findings identified 35 motivational factors and categorised them into the health of the population, socio-economic, technological and innovation trends, policy reform and adaptive governance. Also, the 22 institutional factors identified were categorised into three groups: regulatory framework, ethics for managing water supply and the culture of managing water supply.

Besides the study addressing the theoretical gap regarding which variables are germane in influencing the effective management of urban water supply, the study may be among the top studies that have appraised the role of stakeholders in the institutional management of urban water supply in Ghana.

In the aftermath of disasters, humanitarian actors need to coordinate their activities based on accurate information about the disaster site, its surrounding environment, the victims and survivors and the supply of and demand for relief supplies. In this study, the authors examine the characteristics of radio frequency identification (RFID) technology and those of disaster relief operations to achieve information visibility and actor coordination for effective and efficient humanitarian relief operations.

Building on the contingent resource-based view (CRBV), the authors present a model of task-technology fit (TTF) that explains how the use of RFID can improve visibility and coordination. Survey data were collected from humanitarian practitioners in India, and partial least squares (PLS) analysis was used to analyze the model.

The characteristics of both RFID technology and disaster relief operations significantly influence TTF, and TTF predicts RFID usage in disaster relief operations, providing visibility and coordination. TTF is also a mediator between the characteristics of RFID technology and disaster relief operations and between visibility and coordination.

The many recent humanitarian disasters have demonstrated the critical importance of effective and efficient humanitarian supply chain and logistics strategies and operations in assisting disaster-affected populations. The active and appropriate use of technology, including RFID, can help make disaster response more effective and efficient.

Humanitarian actors value RFID technology because of its ability to improve the visibility and coordination of relief operations. This study brings a new perspective to the benefits of RFID technology and sheds light on its antecedents. The study thus expands the understanding of technology in humanitarian operations.