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This study aims to explore the impact of social media influencers' (SMIs) intimate self-disclosure on consumers' purchase intentions, with a focus on the role of parasocial relationships and congruence among the influencer, product and consumer. The study finds its theoretical foundation in parasocial theory and self-congruency theory.

This study employs a quantitative approach, utilizing a sample of 232 collected survey responses. The proposed hypotheses are evaluated using partial least squares structural equation modeling (PLS-SEM).

Contrary to initial assumptions, the study reveals that parasocial relationships do not mediate the link between SMIs' intimate self-disclosure and purchase intentions. However, an interesting moderating effect was discovered: the congruence between the consumer and the influencer influences the relationship between SMIs' intimate self-disclosure and parasocial relationships, and subsequently, between parasocial relationships and purchase intentions.

This study brings fresh insights by pinpointing a boundary condition that dictates the influence of SMIs' intimate self-disclosure on purchase intentions via parasocial relationships. In doing so, this study provides a novel perspective in understanding the dynamics between SMIs and consumers in the rapidly evolving marketing landscape.

This paper aims to address the extant and arguable role of enterprise systems (ES) in relation to management accounting practices (MAPs) through an inclusion relative neglect account of business process management (BPM). This is also extended to draw out an analytical framework to advance our understanding of how BPM mediate ES-MAPs interplay.

A cross-sectional case study was adopted as a research strategy with which to collect data about the ES-BPM-MAPs interplay as a unit of analysis. The latter, in the first stage, was examined across (89) mini-case studies operating in the UK context through reports and documentations collected from cases’ websites, vendors and consultants of information systems. Drawn insights from cross-sectional analysis and contributions made by prior studies are blended together to inform the second stage that outlines an analytical framework for ES-BPM-MAPs interplay.

Different ES are mobilised to address different orientations of BPMs and being used for different managerial functions and purposes. Different patterns of ES-BPM-MAPs interplay are identified across (89) UK-case studies and the BPM is a fulcrum understanding. These patterns are centred around three key BPM including customer, logistics and control processes and all oriented by a continuum of an organisation intention focus on control, understanding and strategising. Both processes and orientations explain ES development and MAPs evolution processes. Standardisation, integration and intelligence are key characteristics sought through ES mobilisations. By complementary, information provision, analytics and simulation are three sophisticated ways of using MA information facilitated by ES characteristics.

Dynamic processes of MAPs change over time and are beyond the reach of this study. Such approach requires full access to case studies. BPM is fulcrum understanding of MAPs change and/or stability in relation to ES implementation including other components.

Findings and analytical framework could be used as a base for establishing the best approach in adopting ES to fully exploit the potential of future ES applications as well as to avoid organisations pitfalls of implementations. Organisations are advised to understand their existing business processes, characteristics of MA information would be achieved first upon which decision of ES components selection and implementation could be outlined.

The indirect interplay between ES and MAPs through business processes is rarely examined. By the inclusion of BPM and using cross-sectional case studies, this research contributes to the existing shortcomings of ES-MAPs interplay by broadening the picture and proposing an analytical framework. The latter advances our understanding by focusing on attributes of ES-BPM-MAPs upon which informal changes in-the use of MAPs are recognised.

Cyberloafing has been reported as a prevalent practice among employees and has been called the hidden epidemic killing business productivity. Given the importance of this issue, this study aims to propose and empirically test a research model to investigate the relationships between private demands, job stress and cyberloafing, premised on border theory, conservation of resources theory and general strain theory.

A total of 301 usable data were collected from employees who work in the ICT sector, using self-reported questionnaires that are subsequently analysed using Partial Least Square (PLS) structural equation modelling.

The results of this study have revealed that both private demands and job stress are positively related to cyberloafing. In addition, job stress is positively related to private demands and also partially mediates the relationship between private demands and cyberloafing. Therefore, the findings are suggestive of employee’s job resources being depleted when they cross between work and non-work domains as they attempt to satisfy their private demands. As a result, insufficient job resources channelled towards handling job-related demands results in job stress, followed by their engagement in cyberloafing behaviour as a coping mechanism.

The main theoretical contribution of this research is to expand upon the existing knowledge of the relationship between private demands and cyberloafing by demonstrating the mediating effect of job stress. Interestingly, the findings revealed that employees’ non-work domain can have a significant influence on both emotions and behaviours at work.

The purpose of this study is to propose a framework for the evaluation of the perceived value internal audit functions add to their organisations. The framework is based on service quality measurement principles, specifically SERVPERF, which is applied to internal auditing.

Insights obtained from the literature on internal auditing and service quality disciplines were synthesised to identify and structure value-adding attributes of internal auditing. A thematic analysis of published profiles (by Protiviti) of various organisations’ internal audit functions were analysed and evaluated against those attributes identified in the literature to formulate an evaluation framework based on service quality measurement principles.

The identified value-adding attributes were categorised according to the dimensions of the SERVPERF service quality measurement instrument to formulate a framework for evaluation of the value added by internal audit functions. It was found that the SERVPERF dimensions appear to be relevant to internal auditing. The SERVPERF instrument was therefore adapted to evaluate the value added by internal auditing as a service.

This paper contributes to both the theory and practice of internal auditing by proposing formal dimensions of a value-adding internal audit service which can then serve as a reference point from which to evaluate the value added to an organisation. The framework can serve as a starting point for internal audit functions to develop their service offering and/or form the foundation of stakeholder satisfaction surveys.

The study contributes to the literature by applying service quality principles to internal auditing. A holistic framework that can be used for the evaluation of the value added by internal audit functions based on stakeholder perceptions is proposed. The framework juxtaposes attributes of value-adding internal auditing with recognised service quality performance measures. The notion of value added is investigated to better understand the concept in the context of internal auditing services.

Medical errors cause a significant number of deaths. Providing training to medical staff can improve the quality of medical care. Hospitals have traditionally used face‐to‐face modality to train staff but they are beginning to adopt e‐learning systems that can easily deliver training at work or to other convenient locations. The purpose of this paper is to investigate factors leading to e‐learning adoption in hospitals.

A framework of factors leading to the adoption decision of e‐learning systems is first proposed. Survey data are collected to empirically test the proposed framework. The samples consist of senior executives and managers in hospitals.

It is found that three factors including managerial, organizational, and technological exhibit significant influences on the adoption decision. One novel result is that the organizational variable of hospital specialization significantly influences the decision to adopt e‐learning systems.

This study is one of the first to propose a model of adoption of e‐learning specifically in the context of hospitals. Limitations and strengths of the study and possible future research direction are also discussed.

From a practitioner's standpoint, the results of this study can help hospital administrators to accelerate the adoption of e‐learning systems.

This study is one of the first to propose a model of adoption of e‐learning specifically in the context of hospitals. It is expected that the model developed can assist to further understand the e‐learning adoption in hospitals.

This study aims to investigate the factors influencing the adoption and diffusion of knowledge management systems (KMSs) in Australia.

The study uses a mixed methodology approach. The research was carried out in three stages: field study, pilot survey, and national survey (top 1,500 companies). This paper reports the findings of the third phase of the study – the national survey. The data of the national survey was analyzed through structural equation modeling (LISREL).

The results indicate that individual factors and task complexity are the significant factors that influence the perceived usefulness of KMSs which, in turn, significantly influence the intention to adopt a KMS and its diffusion process. Some unexpected results were also found.

There is a scarcity of studies on the empirical perspectives of KMSs in the literature, especially in the area of adoption and diffusion. This research addresses this gap by studying the adoption and diffusion of KMSs in Australian organizations.

This study views Net-Zero as a dynamic capability for decarbonising supply chains (SCs). This study aims to investigate the relationship between three information processing-related capabilities (supply chain visibility [SCV], supply chain integration [SCI] and big data analytics [BDA]) as its antecedents and SC performance as its competitive advantage outcome.

The authors conceptualise a research model grounded in the literature based on dynamic capabilities and information processing views. The study uses a structural equation modelling technique to test the hypotheses’ relationship using the survey data from 311 industrial enterprises.

The results show that SCI and BDA positively and directly influence the Net-Zero capability (NZC). No significant direct impact is found between SCV and NZC. BDA fully mediates SCV and partially mediates SCI in their relationship with NZC. The results also confirm that NZC positively impacts SC performance (SCP).

This study contributes to operations management and SC literature by extending the knowledge about Net-Zero SCs through an empirical investigation. In particular, the study suggests BDA is essential to enhance NZC as SCV alone does not significantly contribute. The study also documents the benefit of NZC on SCP, which can encourage more volunteer actions in the industry.

The purpose of this paper is to investigate empirically the critical factors for the diffusion of web technologies in supply chain management (SCM) functions, based on the technology‐organizational‐environment model, and to identify the benefits resulting from diffusion.

Data were collected, via an internet survey, from 251 respondents, ranging from middle‐level to top‐level managers, from firms which currently utilize web technologies for their supply chain activities. Structural equation modelling was employed for five factors: relative advantage; competitive pressure; complexity; trialability; and top management support, which have been hypothesized to affect the diffusion of web technologies in SCM functions.

The results suggest that all the factors except trialability are significant predictors of web technologies' diffusion in supply chain functions. The results show also that by diffusing web technologies, organizations can enhance their supply chain activities.

The survey was conducted in a Malaysian context, using a limited set of variables, thus limiting the generalizability of the findings.

This study provides a greater understanding of managers' perception of web technology diffusion in their organizational SCM functions, and benefits realizing from diffusion of web technology, such as operational efficiency.

Those interested in adopting web technologies in their supply chain activities may find these results helpful in guiding their efforts.