Search results

The role of industry 4.0 (I4.0) technologies for organizations to achieve a competitive advantage and mitigate disruptive emergency situations are well exhibited in literature. However, more light needs to be thrown into implementing I4.0 technologies to digitally transform organizations. This paper introduces a novel framework for formulating manufacturing strategy 4.0 (MS 4.0) that guides organizations to implement I4.0 successfully.

The experts working in I4.0 and technology management domains were interviewed to determine the definition, role and process for formulating MS 4.0. Text mining using VOSViewer© is performed on the experts' opinions to determine the key terms from the opinions through keyword analysis. The identified key terms are mapped together using the existing traditional manufacturing strategy formulation framework to develop the MS 4.0 framework. Finally, the proposed MS 4.0 framework is validated through a triangulation approach.

This study captured the role, definition and process to formulate MS 4.0 and proposed a framework to help practitioners implement I4.0 at manufacturing organizations to achieve competitiveness during normal and emergency situations.

The proposed MS 4.0 framework can assist industry practitioners in formulating the strategy for implementing the I4.0 technology/gies to digitally transform their manufacturing firm to retain the maximum manufacturing output and become market competent in normal and emergency situations.

This study is the first of its kind in the body of knowledge to formulate a digital transformation strategy, i.e. MS 4.0, to implement I4.0 technologies through a manufacturing strategic lens.

E-learning has demonstrated its value as a powerful tool for enhancing students' educational experience. This paper uses a quantitative approach to examine the impact of students' cognitive problem-solving skills on their e-learning management ability. In addition, it investigates the parallel mediation role of student psychological motivation and peer collaboration. Moreover, the moderating role of gender was examined to identify the difference in e-learning management ability among male and female students.

Data were collected from 214 Malaysian business students using an online survey. For the analysis, the researcher utilized both SPSS and a SMART PLS software.

The results show that cognitive problem-solving skills directly impact student e-learning management. Moreover, psychological motivation and peer collaboration mediate the relationship between cognitive problem-solving and student e-learning management. The study's results reported that female students' psychological motivation is higher than males in managing their e-learning environment. The study found that an e-learning environment helps students develop cognitive problem-solving skills, and students can manage their e-learning independently.

The COVID-19 pandemic in 2020 worldwide has shifted the educational system from a traditional approach to an online context. There is a lack of studies examining students' cognitive problem-solving skills, their ability to manage e-learning and investigating gender differences. The findings reported here are novel in the context of Malaysia. Little evidence exists about the impact of problem-solving among business students on e-learning management ability while providing insight into gender differences.

Given the increasing attention on ChatGPT in academia due to its advanced features and capabilities, this study aims to examine the links among Artificial intelligence (AI), knowledge sharing, ethics, academia and libraries in educational institutions. Moreover, this study also aims to provide a literature base while discussing recent trends in AI and ChatGPT technologies, highlighting their specific uses in institutions.

The paper involves a structured interview format where a human interviewer poses questions “Qs” in ChatGPT, related to knowledge sharing, ethics, academia and libraries. Moreover a literature base is also provide to discussed recent trends in AI and ChatGPT technologies, highlighting their specific uses in institutions.

The study find out that AI and ChatGPT technologies in educational institutions affect knowledge sharing, ethical consideration, academia and libraries. This study also highlights literature directions for the trends and proper use of the AI and ChatGPT among institutions, such as improving student-learning engagement.

This research contributes to the prior literature by offering an in-depth review of current uses and applications of AI and ChatGPT in educational institutions. It not only highlights key trends and innovations but also provides insights and guidelines for future research. This study also provides insights and guidelines for future research. Furthermore, the article emphasizes the potential impact of AI and ChatGPT on the future of education and technology.

The study aims to inspect the impact of employees’ perception of corporate social responsibility (CSR) and their spiritual values on their affective commitment and job satisfaction, which in turn may promote organizational citizenship behavior. Furthermore, this study examines the moderating effect of Islamic work ethics to identify whether they strengthen or weaken the proposed associations.

A survey instrument was devised to collect data from employees. The statistical analysis of the data was conducted using the Smart PLS software. Additionally, the research uses the “Partial Least Square-Structural Equation Modelling (PLS-SEM)” technique.

The findings of the study suggest that employees’ perception of CSR exhibits a positive association with affective commitment and job satisfaction. Likewise, employees’ spiritual values demonstrate a positive and significant correlation with affective commitment and job satisfaction. Finally, the outcomes reveal that affective commitment and job satisfaction play a major role in fostering organizational citizenship behavior. Moreover, Islamic work ethics positively and significantly moderate the relationship between employee CSR perception and affective commitment and between employee CSR perception and job satisfaction.

This research study endeavors to fill the gaps in the current literature by investigating two crucial aspects of employees: their perception of CSR and spiritual values. Additionally, the study includes Islamic work ethics as a moderator to provide a more comprehensive understanding of how these factors contribute to fostering organizational citizenship behavior. This work highlights the significance of spiritual values and social responsibilities in employees’ lives and how Islamic work ethics shape their behavior accordingly.

The export‐pricing literature is characterized by a distinct lack of sound theoretical and empirical works. Of the marketing decision variables, pricing has received the least attention in research despite the continued identification of this issue as an important problem area for firms engaged in export marketing. Businesses competing internationally must develop an effective pricing strategy, as this is a critical factor in their operation. Globalization also requires that management coordinate prices across multiple export markets. Research is thus needed on the empirical relationship between an export‐pricing strategy (EPS) and the factors that influence this strategy, as well as the relationship between EPS and the performance of the export venture. A multidimensional conceptualization of export‐pricing strategy is proposed in order to integrate the various components of an EPS and link it with its antecedents. Theoretical insights and empirical findings from the general pricing literature, as well as executive insights from qualitative interviews, are connected with the conventional export‐pricing and strategy literature into an integrated model, and specific research propositions are offered for future cross‐industry empirical studies.

This study examines the impact of female directors on cash holdings in Egyptian listed firms, particularly in light of Decree 123/2019, which mandates female board representation. This study aims to determine if female directors mitigate agency conflicts related to cash holdings and how these dynamics shift post-quota implementation.

Using a panel fixed-effects model, the research analyzes 1,563 firm-year observations from 223 non-financial Egyptian firms listed on the EGX between 2014 and 2022. The robustness of the findings is tested through additional analyses using alternative proxies for cash holdings, different sample periods and a two-stage least squares approach to address endogeneity concerns.

This study finds a significant negative association between female directors and cash holdings, suggesting that female board members may promote more conservative cash management practices. However, this relationship weakens post-quota implementation, becoming statistically insignificant. This implies that while quotas increase female representation, they do not necessarily enhance corporate governance effectiveness regarding cash management. The pre-quota positive link between female directors and excess cash holdings also becomes insignificant post-quota.

The study focuses on female directors’ impact on cash holdings, excluding potential effects on other board subcommittees or functions. It does not capture long-term benefits of increased female representation, which may emerge as the pool of qualified female directors grows. Future research should explore broader implications of gender diversity guidelines and other diversity dimensions across various corporate governance aspects and institutional contexts.

This research provides empirical evidence from an emerging market context on the understudied impact of gender diversity on cash holdings. It critically evaluates the unintended consequences of mandatory gender quotas, highlighting the complexity of regulatory interventions in corporate governance. The study stresses the need for policymakers to address factors limiting the effectiveness of such quotas and to consider potential suboptimal outcomes when increasing female board representation without a corresponding increase in the supply of qualified female directors.

The data economy, emerging from the current hyper-technological landscape, is a global digital ecosystem where data is gathered, organized and exchanged to create economic value. This paper aims to shed light on the interplay of the different topics involved in the data economy, as found in the literature. The study research provides a comprehensive understanding of the opportunities, challenges and implications of the data economy for businesses, governments, individuals and society at large, while investigating its impact on business value creation, knowledge and digital business transformation.

The authors conducted a literature review that generated a conceptual map of the data economy by analyzing a corpus of research papers through a combination of machine learning algorithms, text mining techniques and a qualitative research approach.

The study findings revealed eight topics that collectively represent the essential features of data economy in the current literature, namely (1) Data Security, (2) Technology Enablers, (3) Business Implications, (4) Social Implications, (5) Political Framework, (6) Legal Enablers, (7) Privacy Concerns and (8) Data Marketplace. The study resulting model may help researchers and practitioners to develop the concept of data economy in a structured way and provide a subset of specific areas that require further research exploration.

Practically, this paper offers managers and marketers valuable insights to comprehend how to manage the opportunities deriving from a constantly changing competitive arena whose value is today also generated by the data economy.

Socially, the authors also reveal insights explaining how the data economy features may be exploited to build a better society.

This is the first paper exploring the data economy opportunity for business value creation from a critical perspective.

This study aims to highlight the critical role case fatality rates (CFR) have played in the emergence and the management of particularly the early phases of the current coronavirus crisis.

The study presents a contrastive map of CFR for the coronavirus (SARS-CoV-2) and influenza (H1N1 and H2N2).

The mapped data shows that current CFR of SARS-CoV-2 are considerably lower than, or similar to those, of hospitalised patients in the UK, Spain, Germany or international samples. The authors therefore infer a possible risk that the virulence of the coronavirus is considerably overestimated because of sampling biases, and that increased testing might reduce the general CFR of SARS-CoV-2 to rates similar to, or lower than, of the common seasonal influenza.

This study concludes that governments, health corporations and health researchers must prepare for scenarios in which the affected populations cease to believe in the statistical foundations of the current coronavirus crisis and interventions.