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This paper aims to examine how presence (the social presence of live streaming platforms, of viewers, of live streamers and telepresence) affects consumer trust and flow state, thus inducing impulsive buying behaviors, personal sense of power as moderator.

Drawing on the Stimulus-Organism-Response (S-O-R) framework, the conceptual model covers social presence, telepresence, consumer trust, flow state, personal sense of power and impulsive buying behavior. An online survey was conducted from 405 consumers with the experience of live streaming shopping in China; structural equation modeling (SEM) was used for data analysis.

Results find that three dimensions of social presence (the social presence of live streaming platforms, of viewers, of live streamers) and telepresence have a positive and significant influence on consumer trust and flow state, thus triggering consumers’ impulsive buying behavior. Furthermore, consumers’ sense of power moderates the process from consumer trust, flow state to impulsive buying behavior.

This study will help live streamers and e-retailers to have a further understand on how to stimulate consumers’ buying behavior. Furthermore, it also provides reference for the development of live streaming commerce in other countries.

This research examines the effect of social presence and telepresence on impulsive buying behavior in live streaming commerce, which is inadequately examined in extant literature.

The purpose of this study is to examine the determinants influencing low- and middle-income households in accepting the Islamic public-private housing co-operative model (IPHCM) as an alternative to contemporary affordable public housing models in Malaysia.

Using self-administrated questionnaires, data are collected from low- and middle-income households dwelling in Programme Perumahan Rakyat projects in Kuala Lumpur and the state of Selangor. The study used the theory of planned behaviour (TPB) and used the partial least squares technique to examine the proposed hypothesised relationships.

The findings of this study suggest that subjective norm and perceived consumer religiosity is the most influential determinants affecting the behavioural intention of low- and middle-income households in accepting the IPHCM model. Attitude had a significantly positive relationship with households’ behavioural intentions towards accepting the IPHCM model.

The findings of this study can serve as a guideline for policymakers to understand the behavioural intention of low- and middle-income households in accepting newly developed models in affordable public housing space.

Behavioural aspects regarding the acceptance of affordable public housing models in Malaysia have yet to be profoundly explored in the literature. This study has extended the TPB by incorporating perceived consumer religiosity, in the affordable public housing domain, to analyse its effects on households’ acceptance of the IPHCM model.

In the recent decade, social media popularity and growth have boosted the development of social commerce (SC). This study aims to explore the significant impact of guanxi (关系) elements (ganqing 感情, renqing 人情 and xinren 信任) on online purchase intentions. Furthermore, this study investigated the moderating role of social support between electronic word-of-mouth (eWOM) and online purchase intentions.

An online survey was conducted on 309 consumers who had online purchasing experience through WeChat, a famous social media application in China. Structural equational modeling was used to test all hypotheses.

The results indicate that guanxi elements are positively related to eWOM, affective attitude and online purchase intentions in SC. Additionally, social support has a significant moderating role between eWOM intention and online purchase intention.

Considering the effects of guanxi elements on eWOM affective attitude and online purchase intention in Chinese SC, online retailers are advised to carefully develop their marketing strategies to retain and attract new consumers. Furthermore, online retailers can use the findings from this study to understand the consequences when online purchase intention is strongly influenced by guanxi elements.

This research extends the current literature by applying the notion of guanxi components to the sense of SC and relating the notion of guanxi components and consumer decisions. The results show an understanding of the reality by which guanxi elements may affect the intention of eWOM sharing and boost online purchase intention.

The purpose of this study is to analyze the dynamic causal relationship between foreign direct investment (FDI), gross domestic product (GDP) and trade openness (TO) on a set of five selected South Asian countries.

This study used newly developed bootstrap auto regressive distributed lags (ARDL) cointegration test to examine the long-run relationship among FDI, GDP and TO for selected South Asian countries for 1975–2016.

The economic growth (EG) is significantly related to TO for Bangladesh, India and Sri Lanka and the expansion of TO is crucial for growth in these countries. The results show that all countries (except Bangladesh) found the existence of long-run cointegration between FDI, GDP and TO, whereas FDI is a dependent variable. These results concluded that FDI and TO are contributing to EG in these selected countries.

This study is one of the first attempts to investigate the causal relationship and address the short and long dynamic among FDI, GDP and TO regarding five south Asian countries such as Bangladesh, India, Nepal, Pakistan and Sri Lanka.

Earlier studies on risk evaluation in private finance initiative and public private partnerships (PFI/PPP) projects have focussed more on quantitative approaches despite increasing call for contextual understanding of the bankability of risks. The purpose of this paper is to explore the perspectives of UK PFI financiers’ regarding the bankability of four critical risks (construction and completion risk, operations, supply and offtake risk) in PPP projects.

Multiple case study strategy was adopted to investigate the phenomenon within real-life context of PFI/PPP projects in UK. Using purposive sampling approach, the study examined school and road PFI/PPP projects through interviews, documentations and focus group discussions.

Results from the study unravelled 36 suitable bankability criteria and some mitigation strategies for evaluating the four critical risks in PFI/PPP during due diligence appraisal. Further evidences from the study also show that, financiers’ bankability criteria, when paired along with corresponding risks and mitigation strategies within with a single framework, provides a quick and effective view of bankability of risks in PFI/PPP funding application.

In order to ensure generalisability of findings, only projects with similar nature were selected from just two sectors of the UK economy (road and education sectors). The context of the study is also based on UK’s PFI/PPP and Construction Industry, as such, other geographical regions in Europe and beyond have not been contextualised in this study. Due to the significance of finance in PFI/PPP contracts, only the perspective of project financiers have been explored in this study.

This study provides a less complicated but useful understanding of how risks in PFI/PPP projects may be packaged in a bankable manner to secure the confidence of project financiers. By presenting a qualitative framework, the study addresses concerns of over quantification of risk analysis in PFI/PPP appraisals and provides a relatable approach useful for non-finance oriented PPP practitioners.

This study addresses the social concerns of too much complexity and ambiguity in PFI/PPP structuring especially regarding factors that could make a project acceptable to lenders.

The study proposes a “Bankability and Risk Qualitative Framework”, which presents bankability information on critical risks in clear manner and represents critical parameters for winning financiers’ funding approvals for PFI/PPP projects.

The purpose of this paper is to highlight the use of the big data technologies for health and safety risks analytics in the power infrastructure domain with large data sets of health and safety risks, which are usually sparse and noisy.

The study focuses on using the big data frameworks for designing a robust architecture for handling and analysing (exploratory and predictive analytics) accidents in power infrastructure. The designed architecture is based on a well coherent health risk analytics lifecycle. A prototype of the architecture interfaced various technology artefacts was implemented in the Java language to predict the likelihoods of health hazards occurrence. A preliminary evaluation of the proposed architecture was carried out with a subset of an objective data, obtained from a leading UK power infrastructure company offering a broad range of power infrastructure services.

The proposed architecture was able to identify relevant variables and improve preliminary prediction accuracies and explanatory capacities. It has also enabled conclusions to be drawn regarding the causes of health risks. The results represent a significant improvement in terms of managing information on construction accidents, particularly in power infrastructure domain.

This study carries out a comprehensive literature review to advance the health and safety risk management in construction. It also highlights the inability of the conventional technologies in handling unstructured and incomplete data set for real-time analytics processing. The study proposes a technique in big data technology for finding complex patterns and establishing the statistical cohesion of hidden patterns for optimal future decision making.

This study aims to examine the issues and challenges in contemporary affordable public housing schemes and proposes an alternative affordable public housing model for low- and middle-income households in Malaysia.

The paper applied qualitative research method. Semi-structured in-depth interviews with four government officials were conducted to understand the provision, framework and working mechanism of selected affordable public housing schemes. A focus group with nine participants was conducted with low- and middle-income households to validate pertaining residential issues and problems in affordable public housing schemes.

The overall findings reveal that the growing plights of unaffordability, poor maintenance and mismanagement have undermined the performance of affordable public housing schemes in Malaysia. The paper indicates that Islamic Public–Private Housing Co-operative Model (IPHCM) possibly has a comparative advantage in its design and operation and therefore can be implemented as an alternative model to address these issues in contemporary affordable public housing schemes in Malaysia. The findings also offer guidelines to government officials and managers of public housing schemes to implement the IPHCM model that can help in reducing the financial burden on low- and middle-income households, improving maintenance work and enforcing effective management practices with residents’ participation.

The paper is limited to develop a new Shariah-compliant affordable public housing model. The paper presents a design and defines the underlying Shariah concept and contracts and their working mechanisms in the proposed model. The paper has not considered other related areas in the development of IPHCM model including Shariah and subject matter expert’s perspective, consumer behavioural intention, legal and regulatory requirements.

The paper has relevance for policymakers and government institutions offering affordable public housing schemes to ensure successful deliverability of sustainable and affordable public housing for low- and middle-income households in Malaysia.

Although the UK Guarantee Scheme for Infrastructures (UKGSI) was introduced in 2012 to address the huge financing gap for critical infrastructures, PFI sponsors have so far guaranteed only few projects. Many stakeholders in the project finance industry have blamed this situation on lack of general understanding of strategies for harnessing the benefits of the government guarantee scheme. The purpose of this paper is to investigate the perspectives of UK’s PFI/PPP stakeholders on critical factors influencing approval for government guarantees using the UKGSI as a focal point.

Using a mixed methodology approach, this study identified 26 important criteria used in evaluating government guarantee applications through focus group discussions with PFI stakeholders. The identified criteria were then put in questionnaire survey to 195 respondents within the UK PFI/PPP industry.

Through factor analysis, five critical factors determining successful government guarantee application were unravelled. These include: compliance with UK National Infrastructure Plan; demonstration of project bankability and risk management; value for money; proof of projects’ dependence on government guarantee; and certainty of planning commission’s approval.

Results of this study will facilitate an in-depth understanding of critical factors necessary for accessing government guarantee scheme for PFI/PPPs, while also improving the bankability of potential PFI projects.

In the era of digitalization, digital technology has transformed businesses and created enormous opportunities for organizations worldwide. Unsurprisingly, research on digital transformation has garnered significant interest among academics in recent decades. However, this study aims to recognize the key and holistic antecedents influencing digital transformation in manufacturing firms. This study also investigates the indirect relationships of antecedents with firm performance.

The hypothesis was investigated using the partial least squares structural equation modeling (PLS-SEM) approach. The data was collected from 279 employees through a self-administered survey of manufacturing firms.

The results described a significant and positive impact of competitive pressure, leadership role, organization culture, organization mindfulness, government regulation, and IT readiness on digital transformation and firm performance. Furthermore, digital transformation partially mediates the relationship between antecedents and firm performance.

The study finds a holistic perspective of the critical antecedents of digital transformation using the mediation role of digital transformation and moderating effects of firm agility. Additionally, all antecedents have a significant association with Firm Performance.

In this digital age, the rapid technological innovation and adoption, with the increasing use of big data analytics, has raised concerns about the ability of small and medium enterprises (SMEs) to sustain the competition and innovation performance (IP). To narrow the research gap, this paper investigates the role of big data analytics capability (BDAC) in moderating the relationship between digital innovation (DI) and SME innovation performance.

This research has been carried forward through a detailed theory and literature analysis. Data were analyzed through confirmatory factor analysis and structural equation models using a two-stage approach in smartPLS-4.

Results highlight that digital service capability (DSC) significantly mediates the relationship between DI and IP. Additionally, value co-creation (VCC) directly affects digital transformation (DT), while DI has a stronger effect on DSC than IP. Furthermore, BDAC significantly moderates the relation between DSC → IP and DT → IP, whereas it has a detrimental effect on the relation between DI and IP. In addition to that, VCC, DSC, DT, DI and BDAC have a direct, significant and positive effect on IP.

This research was motivated by the practical relevance of supporting SMEs in adopting DT and the resource-based view (RBV) and technology acceptance model (TAM). This study shows that all direct and indirect measures significantly affect innovation performance, including BDAC as moderator. These findings refresh the perspective on what DT, DI, VCC, DSC and BDAC can bring to a firm's innovation performance.

This paper has contributed to DT by empirically validating a theoretical argument that suggests the acceptance and adoption of new technology. This paper aims to fill theoretical gaps in understanding BDAC and DT by incorporating the RBV and TAM theories on BDAC and DT.