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The internet technology becomes an essential tool for individuals, organizations, and nations for growth and prosperity. The purpose of this paper is to integrate the DeLone and McLean IS success model with task-technology fit (TTF) to explain the performance impact of Yemeni Government employees.

Questionnaire survey method was used to collect primary data from 530 internet users among employees within all 30 government ministries-institutions in Yemen. The four constructs in the proposed model were measured using existing scales. The data analysis starts with initial exploratory factor analysis, then confirmatory factor analysis and lastly structural equation modeling via AMOS.

The results showed that the proposed integrated model fits the data well. Findings of the multivariate analysis demonstrate four main results. First, actual usage has a strong positive impact on user satisfaction, TTF, and performance impact. Second, user satisfaction has a great influence on performance impact. Third, TTF has a strong positive impact on user satisfaction and performance impact. Fourth, both user satisfaction and TTF mediate the relationship between the actual usage and performance impact.

The public sector in Yemen contains three parts: Yemeni prime minister, Yemeni ministries, and government agencies. This study focuses only on the Yemeni employees among Yemeni ministries; hence the results are not necessarily generalizable. Moreover, there are biases when the researcher measures the actual Internet usage variable through asking a participant about their opinion regarding their usage because these are generally found to differ from the true score of system usage.

The findings should be very useful for the Yemeni Government in presenting the importance of information technology effects on individual efficiency and effectiveness. Therefore, the information from these findings should encourage and support the formation of future policy at the organizational level and national level. If the government utilizes these findings by setting up strategies to promote internet usage, this may, in turn, improve professional practice, personal development, and quality of working life.

This paper adds to the existing literature of information systems by combining actual technology usage, user satisfaction, and TTF to predict performance impact within the organizations. Furthermore, this study proposed a second-order model of performance impact in order to increase the power of explaining the output by the model, which contains four first-order constructs: process, knowledge acquisition, communication quality, and decision quality. The predictive power of the proposed model has a higher ability to explain and predict performance impact compared to those obtained from some of the previous studies.

The purpose of this paper is twofold. First, to examine the influence of two dimensions of entrepreneurial competencies, namely, strategic competency and ethical competency on the growth of small and medium enterprises (SMEs); and second, to explore the role of network competence as a mediator among these understudied variables.

The data for this study were collected from wholesale and retail-based SMEs in Malaysia through a standard structured questionnaire. PLS–SEM approach was utilised to analyse the data.

Although the findings did not reveal a direct effect of strategic and ethical competencies of entrepreneurs on SMEs’ growth, these competences, however, were found to be influential in driving their growth when network competence was used as a mediator.

The existence of a mediation effect between strategic and ethical competencies and SMEs’ growth via network competence has provided insights which add new knowledge to the extant entrepreneurship and SMEs’ performance literature.

To compete in a globally challenging environment, small and medium enterprises (SMEs) are increasingly pressured to leverage their relational capital to stay competitive. The purpose of this study is to model the KS behaviour of SMEs in an increasingly networked world through communities of practice (CoP).

Data were collected using a survey instrument developed based on prior literature from SMEs operating only in the electronic manufacturing industry. A total of 120 responses were received of which only 100 were valid. SmartPLS, a second-generation analysis software, was used to analyse the model developed.

The findings indicated that affect, reward, perceived consequences and social factor were all positive predictors of KS behaviour of SMEs in communities of practice. Interestingly, the facilitating conditions were found to negatively influence KS behaviour.

The findings are helpful to SMEs who are embarking on knowledge management (KM) practices in their respective companies and may be used to leverage the drivers of KM to improve more sharing behaviour that keeps SMEs competitive.

To the best of the authors' knowledge, few studies have explored the individual (i.e. perceived consequences, affect), social (i.e. social factor) and organisational (i.e. facilitating condition, reward) predictors of KS behaviour among CoP’s in Malaysian SMEs.

This study explores the potential role of improvisation capability in enhancing organizational resilience. Additionally, this paper unravels novel strategies to support the development of organizational improvisation capability.

An in-depth review of the latest development of organizational resilience and improvisation provided insight into the linkages between the concepts. The current literature gap provides reasons to discuss the latest strategies to foster improvisation capability to amplify organizational resilience.

This study identifies the pertinent role of improvisation capability in amplifying organizational resilience and discusses various feasible strategies to cultivate organizational improvisation capability.

This research provides valuable insights to help organizations remain resilient in a disruptive environment. The study also offers cutting-edge strategies to nurture improvisation capability as a way forward to drive organizational resilience.

This study scrutinized the synergistic effects of lean manufacturing (LM) on lead time reduction (LR) while investigating the mediating role of manufacturing flexibility (MF) in that relationship within the context of batch and mass customization manufacturers.

This cross-sectional survey involved 160 large batch and mass customization manufacturers in Indonesia. Data were analyzed by using the PLS path modeling approach and multigroup analysis.

The positive synergistic direct effects of LM on LR and MF were revealed in both process types. In mass customization, MF mediates the effect of LM on LR. However, such a mediating effect was not found in the batch process due to the insignificant effect of MF on LR.

The findings offered theoretical and practical insights supporting the manufacturers to grasp potential benefits through the holistic LM implementation as well as the suitable strategies to improve MF and reduce lead time by considering the types of the production process.

This study bridged the gaps regarding the comparison of LM implementation and its influence on MF and LR in mass customization and batch production.

Large supermarket chains are adopting customer-service robots to improve service delivery in physical stores. Successful deployment of these robots depends on shoppers' willingness to interact with them, requiring an understanding of influencing factors. This study, grounded in the Cognitive-Affective-Normative (CAN) theory, seeks to systematically explore the factors influencing Gen Z shoppers' willingness to interact with customer-service robots.

A hybrid approach combining Structural Equation Modeling (SEM) and Necessary Condition Analysis (NCA) was employed to analyze survey data collected from 945 Gen Zs in the Czech Republic.

The results from SEM highlight significant cognitive, normative, and affective factors that influence the intention of Gen Z shoppers to interact with a customer-service robot. Specifically, cognitive factors such as effort and performance expectancy, along with normative factors like subjective norms, emerged as critical determinants. Furthermore, affective factors such as technology anxiety and positive emotions significantly influence users' readiness to use customer-service robots for service requests. The study also underscores that positive emotions, effort expectancy, performance expectancy, and subjective norms are vital prerequisites for interacting with customer-service robots.

The originality of this work lies in its two significant contributions to the burgeoning field of SRs in retail literature. First, it extends the CAN theory to the context of SRs among Gen Z shoppers in Czechia, thereby enriching the existing literature on SRs in retail. Second, by employing a hybrid analytical approach, our research offers both empirical and methodological advancements, providing rigorous insights crucial for enhancing the understanding of the pivotal factors influencing shoppers' interactions with SRs in physical store environments.

This paper aims to highlight the potential role of collective mindfulness as a key success factor for organizational resilience. It also outlines the processes and essential contexts that support the cultivation of collective mindfulness capability in organizations.

A review of the relevant articles and current development in the area of organizational resilience and collective mindfulness provided an in-depth understanding and valuable insights into how collective mindfulness can be utilized to engender organizational resilience in the challenging business world.

This paper provides a brief overview over the crucial role of collective mindfulness capability in augmenting organizational resilience. Additionally, the processes of collective mindfulness and the essential contexts for developing and sustaining this capability is also unveiled.

The paper offers practical solutions for the anxiety faced by many organizations around the globe due to the relentless disruptions by highlighting on the potential role of collective mindfulness. It reveals the way that organizations can undertake to wade through the waves imposed by the current volatile environment by leveraging on collective mindfulness capability.

The purpose of this paper is to evaluate the effect of core competencies, namely, transformational leadership (TFL), entrepreneurial competence and technical competence on financial performance through the mediation effect of innovativeness, among owner-managed small and medium-sized enterprises (SMEs) in developing countries.

A research model was developed to test nine research hypotheses. Self-report questionnaires designed for this study were sent to SME owner-managers in Malaysia. A total of 178 completed questionnaires were successfully collected. SPSS and SmartPLS were used to perform the data analysis to test the measurement model and structural model.

This paper provides empirical evidence that behavioural innovativeness mediates the relationship between TFL and financial performance, product innovativeness mediates the relationships among entrepreneurial competence, technical competence and financial performance and process innovativeness mediates the relationship between technical competence and financial performance.

The findings of this study are potentially limited by perceptual measures, cross-sectional data and the risk of response bias from a single informant.

Owner-managed SMEs can focus on developing the core competencies to achieve financial performance through innovative products, processes and behaviours. Policymakers and practitioners can gain fresh insights into the complexity of sustaining the business activities and financial performance of SMEs through the core competencies and innovativeness.

The extant literature has revealed that entrepreneurship, leadership, expertise and innovativeness are considered key factors in promoting financial performance, yet little is known about the combined effects of the core competencies on financial performance through innovativeness for owner-managed SMEs in the context of a developing country. The study makes an important contribution to filling this research gap.

This study developed an extended model of self-congruity by integrating destination image, destination personality, self-congruity, revisit intention and gender.

Surveys were conducted with 645 Chinese tourists visiting New Zealand. Partial least squares structural equation modelling (PLS-SEM) was performed to estimate linkages between destination image, destination personality, self-congruity and revisit intention. To compare effects on revisit intention across male and female Chinese tourists, PLS-Henseler's multigroup analysis and PLS-permutation test were conducted to analyse gender as a moderator in the proposed framework.

Our results revealed positive direct effects among destination image, destination personality, self-congruity and revisit intention. Our findings indicated a highly significant difference in the effects of destination personality on ideal self-congruity across male and female Chinese tourists. The association between destination image and self-congruity identified through this model represents a crucial contribution to the tourism literature. This study also enriches tourism research by comparing male and female Chinese tourists' intentions to revisit New Zealand, having identified crucial heterogeneity within female tourists.

The practical implications from our research can improve destination marketing organization (DMO) officials' awareness of one-time and repeat Chinese tourists' experiences, which strongly trigger subsequent visits.

This paper is the first to examine the direct correlations among destination image, destination personality, self-congruity and revisit intention by considering whether gender might moderate these factors. Our study innovatively adopted PLS-SEM along with several advanced analytical approaches, such as multigroup analysis (MGA) of women and men, to examine our research model.

This article seeks to examine the impact of shared beliefs concerning the benefits of enterprise resource planning (ERP) among executives and engineers in the northern region of Malaysia.

Respondents comprise managers in the departments of production control, production, materials, engineering and information technology, and executives within the organization, who are cognizant of the ERP implementation. A questionnaire was sent to managers in 113 manufacturing organizations. A total of 69 responses was received, all of which were used in the analysis.

The findings support the notion that systems or technologies, which are perceived to be easy to use and understand, will be viewed as more useful from the end‐user's perspective. In addition, perceived ease of use (PEU) was found to mediate partially the effects of shared beliefs concerning the usefulness of the ERP system.

This study provides evidence that the level of managerial support, in terms of shared beliefs about the benefits of ERP, is critical in increasing the level of PEU and perceived usefulness.

There is a gap in the literature concerning what influences these two salient beliefs. Thus, this paper examines the impact of shared beliefs on the perceived usefulness and ease of use of an ERP system in a developing country.