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PurposeThe purpose of this paper is to provide an integrative picture of the state of the art of the literature on digitalisation of small and medium-sized enterprises (SMEs) as an enabler for their internationalisation process and as a comprehensive view of the specific domains impacted by digital technologies as well as their repercussions on the international outreach.Design/methodology/approachA systematic review which leverages a descriptive analysis of extant literature and an axial coding technique has been conducted to shed light on the current knowledge and to identify primary research areas and future research lines.FindingsThe research indicates that digitalisation impacts the internationalisation of SMEs in three specific domains: (1) internationalisation through the adoption of information and communication technologies (ICT) technologies and e-commerce platforms; (2) international expansion through the digitalisation of value chain activities and (3) international outreach through knowledge acquisition on digital platforms.Originality/valueThe value of this study is threefold. First, the authors attempt to systematically review the literature on SMEs digitalisation and internationalisation and provide a holistic perspective on the intertwining of these two research streams. Second, the authors propose a novel conceptualisation on the dimensions of SMEs digitalisation as enablers to internationalisation. Third, the authors put forward promising future lines of research.Highlights Digitalisation represents a pivotal strategy that allows companies to build new strategic capabilities and is a propeller for SMEs internationalisation.Through e-commerce, SMEs could compete at the same level of multinational companies but enduring lower costs of expansion.Digital platforms allow SMEs to enhance the learning processes about international markets through an immediate access to relevant information.Digital entrepreneurship has enabled SMEs to develop new configurations of value chain activities, evolving their business model or reaching new markets.SMEs are changing the “business as usual” paradigm offering digital tools to build modular architectures that are scalable and agile in their evolution ability.

This study examined the effect of ubiquitous connectivity, service quality, system quality, perceived usefulness, perceived ease of use, and perceived enjoyment on the intention and adoption of mobile shopping among consumers in Malaysia. A total of 316 respondents were collected from consumers in Malaysia using the online platform. The findings revealed that ubiquitous connectivity, perceived usefulness, perceived ease of use, and perceived enjoyment had a significant positive effect on the behavioral intention to adopt mobile shopping whereas service quality and system quality contributed insignificant impact on consumers’ intention to adopt mobile shopping. The results identified that consumers’ behavioral intention exhibited higher significant impact on the adoption of mobile shopping during the COVID-19 lockdown. The findings further revealed that intention to adopt mobile shopping mediated the association between ubiquitous connectivity, perceived usefulness, ease of use, and enjoyment on the adoption of mobile shopping. The current study contributed significant theoretical and practical implications for marketers and mobile service providers to better promote the adoption of mobile shopping consumers in Malaysia through the implementation of an effective strategy.

Although small and medium-sized enterprises (SMEs) play a vital role in countries’ entrepreneurship and export activities, their lack of financial assets and human resources makes them more vulnerable to difficult-to-control external risks, including financial, legal, and market risks. Since the exposure to these risks might reduce their willingness to export, SMEs’ risk management capabilities included in the dynamic capabilities of Resource-based View (RBV) might enable them to reduce their exporting concerns and stimulate their entrepreneurial spirit. In this regard, this paper purposes to investigate the impacts of financial, legal, and market risk management capabilities on export intentions of SMEs. The effects of risk management capabilities on the export intention of SMEs might differ depending on the countries where SMEs operate because locally specific government bureaucracy, documentation, standards, regulations, and cultural values make companies face various circumstances that might differently affect their management of multiple risk factors and export entrepreneurship. Thus, this paper also aims to determine whether the effects of risk management capabilities on the export intention of SMEs differ depending on their country of origin. In line with the research aims, this paper employs the Binary Logistic Regression Test to analyze 1221 SMEs in various countries. The results indicate that while financial risk management does not have any significant impacts on the export intention of SMEs, the effects of legal and market risk management on export intention differ depending on SMEs’ country of origin. This paper explains the reasons for those results by the institutional factors.

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PurposeDespite talent management’s (TM) importance for improving organizations' competitiveness and resilience, the pandemic highlighted the weakness of organizational-level TM strategies. Therefore, the objective of this study is to investigate the moderating impact of HR analytics on the relationship between TM and its individual outcomes (talent motivation and quality of hires) and subsequently, their impact on organizational outcomes (talent retention).Design/methodology/approachThe structural equation modeling (SEM) technique was used to analyze 219 online questionnaires administered to HR managers from European companies.FindingsA positive relationship exists between TM activities and talent motivation as well as the quality of hires. Furthermore, HR analytics positively moderates these relationships. Finally, talent motivation and the quality of hires are positively related to talent retention.Research limitations/implicationsThis study offers several contributions to theory, as it analyzes TM from an individual perspective and provides further empirical confirmation of the potential benefits of HR analytics and additional grounding to the contingency theory.Practical implicationsOur results will allow practitioners to better orient their HR investments, with positive effects for their organizations and their employees.Social implicationsThis study demonstrates that HR analytics can help organizations adopt a human-centric approach to TM, thus increasing the chances for talents to fully express their potential.Originality/valueThis study takes a step forward toward considering TM outcomes from an individual perspective, responding to new generations' need to pay more attention to their individualities. HR analytics can be a suitable tool to do so, as it can provide insights and suggestions based on the actual organizational context, making TM a more data-driven process.

Banks’ primary goal is to gain profit for survival and to thrive. Therefore, they have to take various measures, such as data analysis, to maintain their sustainable competitiveness. Along with the rapid development of information technology, big data analytics capabilities (BDAC) is considered essential for banks in the highly dynamic market. To gain an in-depth understanding of the economic importance of BDAC in the banking sector in Malaysia, this research examines the relationship between BDAC and firm performance (i.e., market performance and operational performance) based on the resource-based view (RBV) and the contingent resource-based view (CRBV). The partial least squares structural equation modelling (PLS-SEM) was adopted to analyse the collected data from 162 bank managers in Malaysia. The findings verify that BDAC is composed of seven tangible/intangible resources and human skills, and it significantly influences firm performance in the banking sector.

As the economy evolves and markets change after Covid-19, demand and competition in the labor market increase in China, and employees become increasingly concerned about their career opportunities, pay, and organizational commitment. This category of factors is often considered a key predictor of turnover intentions and job satisfaction, and it is important that companies and management have a good understanding of the factors that contribute to job satisfaction and turnover intentions. The purpose of this study was to investigate the factors that influence employees’ job satisfaction and turnover intention and to examine the moderating role of employees’ job autonomy. This cross-sectional study aimed to quantitatively assess the influence of perceived career development opportunity, perceived pay for performance, and affective organisational commitment on job satisfaction and turnover intention, as well as the moderating effect of job autonomy. An online survey, which involved 532 young workforce in China, was conducted. All data were subjected to partial least squares-structural equation modelling (PLS-SEM). The obtained results demonstrated the direct influence of perceived career development, perceived pay for performance, and affective organisational commitment on turnover intention. These three constructs were also found to have indirect influence on turnover intention through job satisfaction. Meanwhile, the moderating effect of job autonomy on the hypothesised relationships was not statistically significant. This study presented significant theoretical contributions on turnover intention in relation to the unique attributes of young workforce. The obtained findings may also benefit managers in their efforts of understanding the turnover intention of the workforce and promoting empowerment practices.

Digital transformation (DT) has emerged as a key strategic lever for enhancing firm resilience and competitiveness, yet its influence on non-productive investment behaviors, such as corporate financial investment, remains underexplored. Existing studies have largely focused on DT’s role in innovation and operational efficiency, leaving a significant gap in understanding how DT reshapes firms’ financial asset allocation. Drawing on a unique panel dataset of A-share main board-listed firms in China from 2011 to 2023, this study provides novel empirical evidence that DT significantly restrains financial investment, with pronounced heterogeneity across ownership types. More importantly, this paper uncovers a multi-layered mechanism: DT enhances the corporate information environment, which subsequently reduces financial investment. In addition, the analysis reveals a moderated mediation mechanism wherein economic uncertainty dampens the information-enhancing effect of DT. Unlike previous research that treats corporate risk-taking as a parallel mediator, this study identifies a sequential mediation pathway, where improved information environments suppress financial investment indirectly by influencing firms’ risk-taking behavior. These findings offer new theoretical insights into the financial implications of DT and contribute to the broader understanding of enterprise behavior in the context of digitalization and economic volatility.

Amid digital transformation, artificial intelligence (AI) integration into organizational work has reshaped employee-technology interactions and career trajectories. Despite growing interest in Employee-AI Collaboration (EAC), there is little research examining its impact on both sustainable career development and innovation outcomes. Drawing on Conservation of Resources (COR) theory and Social Cognitive Theory (SCT), this study examines how EAC influences Sustainable Innovation Outcomes (SIO) via Sustainable Career (SC) capacities and the moderating effect of Self-Efficacy in Using AI (SEUA). Using a cross-sectional survey of 294 employees, we employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to test our hypotheses. Results show that EAC significantly enhances all the four SC dimensions: Resourceful, Flexible, Renewable, and Integrative capacities. These dimensions mediate the relationship between EAC and SIO, while EAC also exerts direct effects. Alternative model analysis suggests a mutually reinforcing relationship between SC and SIO. Notably, SEUA negatively moderates the relationship between EAC and the Integrative dimension, suggesting a counterintuitive attribution mechanism. These findings reveal how EAC drives innovation through both direct technological enhancement and indirect career capacity development pathways. This research extends technology empowerment theory into career development contexts, providing evidence-based recommendations for organizations to optimize AI integration strategies and career development policies.

Objective Economic growth and improved material living standards have raised people's expectations for healthcare service quality. The digitalization level of healthcare organizations can significantly impact meeting these expectations. Methods This study uses Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to calculate the digital transformation and healthcare service quality composite index. Digital transformation and healthcare service quality spatiotemporal evolution are studied using kernel density estimation, spatial Moran's I index and trend surface analysis. Second, the spatial Durbin model explores how digitalization directly impacts healthcare quality. Finally, digital transformation's spatial spillover impacts on healthcare service quality are examined using partial differential decomposition. Results The digital transformation gap is expanding as areas develop differently. Notwithstanding west-east expansion of digital transformation across China, the centre region demonstrates greatest expansion compared with northern or southern regions. Beijing-Tianjin-Hebei, the eastern coastline region, Sichuan-Chongqing and Guangdong are high-level, whereas the northeast, northwest and Yunnan-Guizhou are low. Healthcare quality has improved annually, although regional gaps have grown. The centre was found to have a greater healthcare gap than the east and west. North exceeds south, with the north-south gap growing in 2021 over 2012. Digital transformation improves local healthcare but degrades neighbouring care. Conclusion Situated within a digital framework, this research examines how digital transformation might improve the quality of healthcare services and the spatial spillover effects. The results indicate that digital transformation may markedly improve the quality of medical services and have spatial spillover effects. Limitations identified in this study include constraints in research methodologies and modest sample size. Consequently, future studies may refine the provincial sample to the level of prefecture-level cities, employing moderation and mediation effect models to more precisely evaluate the impact mechanism of digital transformation on the quality of medical services.