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This paper aims to examine the mediating role of occupational stress in addressing the missing link between organisational intelligence (OI) traits and digital government service quality and propose relevant strategies in sustaining the digital government service quality whilst enhancing the psychological well-being of the service providers.

This paper utilises a triangulation design approach to interpret the findings of the study and propose pertinent strategies. Firstly, we examined the mediating role of occupational stress in addressing the link between OI traits, and digital government service quality. Next, we examined the priority factors of OI traits and occupational stress to sustain the quality of digital government services via the Importance-Performance Map Analysis (IPMA). These findings were cross-examined with the code’s percentage generated from participants’ open-ended survey feedback on aspects that requires improvement in sustaining service quality.

In principle, occupational stress mediates the relationship between OI traits at the third-order component level and digital service quality. Analysis at the lower component level shows that the mediation effect of occupational stress is only significant in the presence of employee-oriented OI traits and “Alignment and Congruence”. Accordingly, the IPMA exhibited the importance of “Job engagement”, “Alignment and Congruence” and “Occupational Stress” in sustaining service quality. Conversely, code’s percentage analysis demonstrated the role of other insignificant traits such as “Leadership” and Appetite for Change and Knowledge Deployment’ in ensuring the sustainability of digital service quality.

By integrating the Organisational Model of Stress with Public Service-Dominant Logic, this paper rejuvenates the stressors utilised in a traditional work setup and widens the perspective of individual job performance to organisational level performance, to reflect the context of today’s public service delivery. We triangulated the outcome from mediation analysis, IPMA as well as open-ended feedback analysis and propose prioritisation on the aspects of “Employee-oriented traits”, “Psychological Well-being”, “Alignment and Congruence”, “Leadership” and “Appetite for Change and Knowledge Deployment” aspects for sustaining digital government service quality. Considering the significance of occupational stress in sustaining service quality in both quantitative and qualitative analysis, this paper also takes the approach of proposing a stress intervention program at the individual and organisational levels to manage the psychological well-being of the service providers.

This paper aims to examine the mediating role of occupational stress in addressing the missing gap between organisational intelligence (OI) traits and digital government service quality.

By employing multistage cluster sampling, a total of 394 responses from the Malaysian service providers at federal government agencies were obtained. For data analysis, the partial least square structural equation modelling (PLS-SEM) approach with a disjoint two-stage approach was employed to assess the proposed higher-order model. The analysis was carried out to examine how occupational stress mediates the relationship between OI traits at each component level and digital service quality.

Occupational stress mediates the relationship between OI traits at the third-order component level and digital service quality. At the second-order component level, only the employee-oriented OI traits exhibit a significant indirect effect on the digital government service quality. Narrowing down to the first order component level, two OI traits, namely “Alignment and Congruence”, and “Heart” demonstrate significant indirect effects in the mediation analysis.

By incorporating the organisational model of stress (OMS) with public service-dominant logic (PSDL), this paper takes an approach to revitalise the stressors and individual-level performance used in a traditional work setting. Precisely, it examines how digital service quality is influenced by today's high-performing public organisation stressors (OI traits) along with non-technical element (occupational stress). More importantly, digital government service quality was examined from a less emphasised perspective, namely the supply side or service providers’ standpoint in sustaining the digital government service performance.

This paper presents a conceptual model that links digital government service quality with organisational intelligence (OI) traits and occupational stress among the service providers in the public sector.

This is a conceptual paper that carries out a systematic review of the key literature from 1978 to 2021, concerning the evolution of models, scales and dimensions attributing to digital government service quality, OI traits and occupational stress. Following this, a new conceptual model is proposed to reflect the need of today's public service delivery from a broader perspective.

Based on the reviews of the existing models, there is no convincing evidence of the existence of a conceptual model that incorporates digital government service quality, OI traits and occupational stress from the public service providers' viewpoint. Therefore, a conceptual model, with occupational stress acting as a mediator between various OI traits and digital government service quality, is presented as a comprehensive framework to heighten the quality of the public service delivery.

This paper explores the gap in the current service quality studies and proposes a conceptual model that is more reflective of today's public service delivery. Firstly, it helps better understand digital government service quality from a much less focused area, the supply side (service providers) standpoint as opposed to the demand side (citizen) viewpoint (citizen). Secondly, it extends the understanding of performance and evaluation of public service delivery from perspectives such as knowledge utilisation, strategic alignment and participatory decision-making. Thirdly, it extends the literature on digital service quality from a non-technological perspective, as to how it is influenced by employees' psychological well-being factors.

This research aims to provide a comprehensive understanding of the evolution and trends in psychological capital (PsyCap) research and related issues.

This research uses bibliometric analysis. A total of 2,244 journal articles were extracted from the Scopus database using relevant keywords, covering the period from 1997 to 2023. The data analysis was conducted utilizing VOSviewer software, Microsoft Excel, and an online text analysis tool.

There is a rapid rise in the quantity of PsyCap publications, especially from 2017, with significant contribution of research from Chinese scholars with 577 articles in the period 2019–2023. The antecedents of PsyCap have a stagnation of leadership-related topics and increased focus on social support and perceived organizational support. The attention has been specifically directed toward well-being and mental health, with special emphasis on work engagement, job satisfaction, and job performance.

The exclusion of certain publications in this research may overlook emerging trends. Thus, future research endeavors should adopt a multifaceted approach that combines bibliometric analysis with qualitative and quantitative methods to glean comprehensive insights into PsyCap research.

PsyCap research is growing rapidly, with more publications in the last three years than in all the previous years combined. This study, updating data until the end of 2023, provides the most up-to-date insights on research trends in PsyCap to aid scholars in discerning suitable avenues for their research endeavors.

Rapidly changing technological and marketing environments challenge the survival of business organizations. Developing dynamic capability is critical in helping companies respond to today's turbulent environments. Thus, fruitful studies on the antecedents of dynamic capability have been conducted. However, in the context of the supply chain, little is known about the factors that can be harmful to dynamic capability. Drawing on the theory of cooperation and competition, the first purpose of this study is to examine the relationship between independent goal interdependence with suppliers and dynamic capability by focusing on the mediating role of supplier integration. Combining the information processing theory and transaction cost economics with the theory of cooperation and competition, the second purpose of this study is to discuss and test the moderating role of internal integration.

Using a carefully designed questionnaire, a large-scale survey was employed to collect data in China. The senior manager (e.g. president, vice president, chief executive officer [CEO], executive or purchasing manager) of each company was asked to participate in our survey. The final valid sample in our survey consisted of 233 companies. Hierarchical multiple regression statistical analysis and bias-corrected bootstrapping methods were applied to test the correlation, mediation, moderation and moderated mediation relationships between variables.

The authors found that independent goal interdependence negatively influences dynamic capability through frustrating supplier integration. In addition, the moderated mediation model analysis shows that internal integration weakens the positive direct effect of supplier integration on dynamic capability while neutralizing the negative indirect effect of independent goal interdependence on dynamic capability. The theoretical and managerial implications of these results are discussed.

First, starting from the goal interdependence and supply chain management perspectives, this research not only is consistent with remote theoretical research that explains why interdependence among organizations influences the capability to enhance competitive advantage but also incorporates relevant internal and external factors that influence dynamic capability. Second, by proposing an innovative boundary factor – internal integration – this study also contributes to adjusting the predictions of the theory of cooperation and competition. Third, focusing specifically on the negative antecedent of dynamic capability can provide a better understanding of the antecedents that cause companies to have weakened dynamic capability.

This paper aims to examine the housing market responses to two outbreaks of respiratory diseases in Hong Kong during the Information Era – the 2003 SARS and COVID-19 outbreaks.

The authors first investigate the aggregate housing price changes during SARS and COVID-19. Next, the authors conduct a battery of univariate analyses pertaining to the relationship between district-level housing price movements and geographic and demographic patterns during the pandemic periods. Finally, to shed light on the housing price dynamics at the micro level, the authors conduct an estate-level analysis with the data of 234 residential estates from 2003 to 2020, focusing on the impacts of SARS and COVID-19 on the idiosyncratic volatility of residential estates.

Overall, SARS and COVID-19 outbreaks are negatively associated with housing prices. However, unlike SARS, the impact of COVID-19 on housing prices was moderate and transient. The geographic imbalances of the epidemic-induced underperformance are observed at the district and estate levels. Finally, the estate-level analysis presented in this paper indicates that the average idiosyncratic volatility of residential estates is 1.5% higher during the SARS period but 3.7% lower during the COVID-19 period. Lower volatility during COVID-19 is likely explained by household learning from the SARS period.

Regulators and investors could resort to efficient information disclosure to attenuate idiosyncratic volatility's adverse impact on housing market returns.

To the best of the authors’ knowledge, the authors are among the first to examine housing market responses to the 2003 SARS and COVID-19 outbreaks using the Hong Kong housing market as a laboratory.

This study intends to examine the relationships between external knowledge sourcing (EKS), organizational ambidexterity (OA), and manufacturing performance (MP) in the context of large manufacturing firms within a dynamic environment setting. The research framework and derived hypotheses are grounded in the knowledge-based view (KBV) and dynamic capability (DC) theories.

A self-administered online survey was used in this study to gather data. Respondents were the operation leaders representing large manufacturing firms. The collected data were screened for invalid responses, and hypotheses were tested using structural equation modeling.

The study reveals that OA and EKS play key roles in achieving a better MP. Likewise, OA also mediates the relationship between EKS and MP.

Cross-sectional data were collected from large manufacturing firms within five focus sectors in Malaysia. A similar study can be conducted with more sectors of different contexts to confirm the findings.

Knowledge is critical for the firm to react to environmental dynamism, and the ability to manage it ambidextrously will enable the firm to enhance its performance.

This study offers empirical insights from the perspective of the large manufacturing firms in Malaysia, which are undergoing an Industrial Revolution 4.0 (IR4.0) transformation. This study bridges the knowledge gap by revealing the value that EKS can facilitate MP, exploring OA as the prevalent factor and demonstrating how KBV and DC can be applied in this study.

Risk management is crucial for all organizations, especially those in the global supply chain network. Failure may result in huge economic loses and damage to company reputation. Risk assessment usually involves quantitative and qualitative decisions. The purpose of this paper is to apply fuzzy logic to capture and inference qualitative decisions made in the House of Risk (HOR) assessment method.

In the existing HOR model, aggregate risk potential (ARP) is calculated by the risk event times the risk agent value and its occurrence. However, these values are usually obtained from interviews, which may involve subjective decisions. To overcome this shortcoming, a fuzzy-based approach is proposed to calculate ARP instead of the current deterministic approach.

Risk analyses are conducted in five major categories of risk sources: internal, global environment, supplier, customer and third-party logistics provider. Moreover, each category is further divided into different sub-categories. The results indicate that the fuzzy-based HOR successfully inferences the inputs of the risk event, risk agents and its occurrence, and can prioritize the risk agents in order to take proactive decisions.

The proposed fuzzy-based HOR model can be used practically by manufacturers in the global supply chain. It provides a framework for decision makers to systematically analyze the potential risks in different categories.

The proposed fuzzy-based HOR approach improves the traditional approach by more precise modeling of the qualitative decision-making process. It contributes to a more accurate reflection of the real situation that manufacturers are facing.

This study investigates the impact of environmental influences, particularly a secretive aspect of Chinese culture, on voluntary corporate disclosure practices. Evidence is provided of the similarly low level of voluntary disclosure by Hong Kong (HK) and Singaporian listed industrial companies. Further, a comparative analysis with prior research on UK/US companies indicates that the extent of voluntary disclosure by HK and Singaporian companies is lower overall. However, while this finding applies to both financial and nonfinancial information, it is not so in the case of strategic information for HK companies.