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This study aims to examine the relationship between political regimes and e-government performance, with a focus on governments’ perspectives of e-government. First, the authors use United Nations (UN) E-government Development Index (EGDI) to establish the current patterns of e-government performance across different regime types, and then develop their own typology of the various perspectives of different political regime types to e-government adopted in the literature. The purpose of this study is to explore the relationship between e-government performance and regime types.

This study adopts a mixed-method research approach that involves quantitative (statistical databases) as well as qualitative (interviews) methods to go beyond the statistics and obtain interpretations of explored patterns of e-government performance and regime types. The research instruments for this study include the Jupyter open-source software used for drawing the relevant correlations, and validating the results using expert interviews.

The results of the analysis support the research hypothesis that democracies have better e-government implementation than autocracies. The findings suggest that the type of a political regime has an influence on the conceptualization of e-government, the implementation of its practices and subsequently the assessment of its performance.

This study relies on the UN EGDI and data from previous literature. the UN Index only measures the supply side of government outputs without taking into consideration their impact on citizens, which does not provide a holistic view of the whole picture. Therefore, the UN EGDI rankings do not necessarily imply citizen satisfaction or improved e-government.

From a practice point of view, this study gives information to government leaders as well as technical experts on how the political regime influences the government’s performance in e-government. In fact, this paper bridges the gap between theory and practice by calling policymakers to take different regime worldviews and motivations into consideration before setting e-government strategies or even assessing e-government performance. Considering the current global digital transformation, it should be ensured that practitioners take these regime specifications into consideration. In the long term, the results of this research will prove that setting up e-government or e-participation platforms is not enough as technology alone is not enough to strengthen democracy or let alone stimulate citizen engagement. When dealing with e-government initiatives, the focus should be broadened beyond the technological aspect and take the social and political motivations of governments into consideration.

From a theoretical standpoint, this study calls for a more holistic e-government performance indicator that could take the regime perspectives into consideration and integrate them into its evaluation process. An indicator that can accommodate the different objectives pursued by different regime types. This could also be achieved by setting two indicators with each one matching the perspective of the specific regime type, which takes us to Ashby’s “Law of Requisite Variety” (1991). The Law of Requisite Variety states that “the system must possess as much regulatory variety as can be expected from the environment” (Ashby, 1956). This law has some implications for this study. It implies that the regime worldview influences the requisite variety depending on the political context where e-government is being implemented. Because we have two regime worldviews, we need to have at least two responses (in this case indicators) that consider the variety of political contexts. Therefore, through appreciating the differences between these two worldviews, this study recommends using the Law of Requisite Variety to investigate the influence of political regimes on e-government. In the same way, in our repertoire of responses, we should not assume that one discipline has the answer but have a variety of cross-disciplinary responses.

The contribution of this study lies in going beyond the statistical analyses of the UN EGDI to come up with possible interpretations of the reasons why political regimes differ in their e-government performance and what could be the reasons behind such variations. Based on analyzing correlations between e-participation performance and regime types, and interviews with experts, two different e-government perspectives could be identified: one for democracies and one for autocracies. Through identifying the relationship between these perspectives and the e-government performance of each regime type, this study provides governments and policy makers with new evidence that different regime types have different motivations for developing their e-government performance. Hence, e-government policies and strategies ought to match particular political contexts.

One of the most important Information Security (IS) concerns nowadays is data theft or data leakage. To mitigate this type of risk, organisations use a solid infrastructure and deploy multiple layers of security protection technology and protocols such as firewalls, VPNs and IPsec VPN. However, these technologies do not guarantee data protection, and especially from insiders. Insider threat is a critical risk that can cause harm to the organisation through data theft. The main purpose of this study was to investigate and identify the threats related to data theft caused by insiders in organisations and explore the efforts made by them to control data leakage.

The study proposed a conceptual model to protect organisations’ data by preventing data theft by malicious insiders. The researchers conducted a comprehensive literature review to achieve the objectives of this study. The collection of the data for this study is based on earlier studies conducted by several researchers from January 2011 to December 2020. All the selected literature is from journal articles, conference articles and conference proceedings using various databases.

The study revealed three main findings: first, the main risks inherent in data theft are financial fraud, intellectual property theft, and sabotage of IT infrastructure. Second, there are still some organisations that are not considering data theft by insiders as being a severe risk that should be well controlled. Lastly, the main factors motivating the insiders to perform data leakage activities are financial gain, lack of fairness and justice in the workplace, the psychology or characteristics of the insiders, new technologies, lack of education and awareness and lack of management tools for understanding insider threats.

The study provides a holistic view of data theft by insiders, focusing on the problem from an organisational point of view. Organisations can therefore take into consideration our recommendations to reduce the risks of data leakage by their employees.

Green, lean and six sigma (GLSS) practices are widely used and well accepted techniques that have the capability to improve the economic, social and environmental performance of Pakistani small and medium enterprises (SMEs). However, implementation of these practices in an integrated approach has not yet been witnessed in Pakistani SMEs due to a variety of challenges. To overcome the implementation challenges, this study has analyzed the impact of GLSS implementation over the sustainability in Pakistani SMEs.

This study consists of two phases. In phase 1, interviews were conducted to scrutinize the elements of GLSS implementation to simplify the model and in phase 2, a questionnaire survey was conducted to collect the data from the SMEs. The partial least squares structural equation modeling (PLS-SEM) approach is used to analyze the relationships among the latent variables and constructs.

Results showed that, leadership for GLSS, understanding GLSS techniques and technology upgradation are considered the most important elements for GLSS implementation in Pakistani SMEs. The environmental and social perspectives have been given more weightage compared to economical perspective. This inferred that there is a need to focus more on environmental and social perspectives in SMEs as compared to economic perspectives to achieve sustainable growth. Moreover, the results of the hypothesis testing revealed that GLSS implementation has a significant positive impact over the sustainability in SMEs considering the Pakistani scenario (β = 0.529, STDEV = 0.078, t = 6.81, p = < 0.001).

This study is the first of its kind for Pakistani SMEs. The structural model developed in this study for Pakistani SMEs will help practitioners to understand the important elements of GLSS implementation and sustainability dimensions.

The purpose of this paper is to obtain greater insights into the implications for human resource development (HRD) in times of economic development, with a focus on China–Pakistan economic corridor (CPEC). In recent times of economic development, a number of economic corridors have emerged globally as tools of regional cooperation and development. In the context of Pakistan, there is a lack of appropriate attention to the field of HRD, which has suffered neglect through the decades (Abbasi and Burdey, 2008; Asrar-ul-Haq, 2015). With this conception, the present economic interventions merit a well-constructed and proper HRD policy for Pakistan. This study will provide HRD insights for policymakers, researchers, entrepreneurs and business executives.

The research approach of this study is purely based on literature review and on secondary data.

Based on the facts and literature reviews, this study concluded that One belt, One Road in general and CPEC in particular as an economic corridor can bring sustainable and long-lasting impact on the economy only if HRD is given proper attention.

To the best knowledge of the researchers, this is the first study that highlighted the HRD issue in CPEC.

Pakistan adopted “one-size-fits-all” policy for human capital (HC) development with the assumption that the level of HC is equal across industry and firm size. The purpose of this paper is to test this major assumption on which this policy is based, by comparing the differences in the levels of HC, overall and by dimensions of HC, by industry and firm size.

The study is based on new data set of a sample of 750 manufacturing SME firms in Pakistan, compiled through a survey. Applying the independent sample t-test, one way analysis of variance and multivariate analysis of variance, the hypotheses of differences in levels of overall and dimensions of HC were tested.

The results indicate significant differences in the levels of HC by industry and firm size. The levels of HC were found to be higher in textiles, food, metal and leather industries, and for medium-sized firms.

The findings provide supporting evidence on the inadequacy of the current human capital development (HCD) policy in Pakistan. The study therefore recommends customized HCD policies, accounting for differences across industry and firm size.

By taking the data on nine major dimensions of HC from 750 manufacturing sector SMEs, the study tests the level of overall HC and its nine dimensions by industry and size. The study also challenges the “one-size-fits-all” policy of the government of Pakistan for developing HC in SMEs.

The current research proposes a model that integrates certain psychological and demographic factors in developing and strengthening young Saudi women's perceptions of entrepreneurial resourcefulness, which eventually may lead to the development and enhancement of their entrepreneurial intentions. The study also examines the ways in which changing socio-cultural norms and values may augment investments and/or efforts to enhance cognitive enablers, including entrepreneurial resourcefulness, and thereby build and strengthen entrepreneurial intentions among female entrepreneurs (i.e. human capital) in a transitioning society. Saudi Arabia is a relevant research context because the Saudi government has invested enormous resources to develop the country's human capital, particularly Saudi government intends to enhance Saudi women's participation in entrepreneurial spheres to be enhanced significantly. Saudi Arabia is undergoing a radical socio-cultural transition, and the kingdom seeks to capitalise on this ongoing transformation to further encourage women to tap into their under-utilised potential. This study seeks to corroborate such moderation effects.

The authors utilise the intellectual capital (IC) framework and theory of planned behaviour (TBP) to propose the conceptual model in this study. Using a sample of 628 young female respondents – potential entrepreneurs studying at various universities in Saudi Arabia, the authors test the hypothesised associations through partial least squares (PLS)-based path modelling.

The authors found a significant positive impact of psychological factors, such as perceived behavioural control, attitude towards entrepreneurship, subjective norms and entrepreneurial self-efficacy, on the development and enhancement of perceived entrepreneurial resourcefulness. In addition, demographic factors, including family income, family background, family business experience and entrepreneurship education, play a significant positive role in enhancing individuals' entrepreneurial resourcefulness perceptions. The authors further found that enhanced perceptions of perceived entrepreneurial resourcefulness develop and enhance entrepreneurial intentions among female entrepreneurs. However, the transformation in social and cultural norms significantly moderates this cause and effect relationship.

This study is among the first of its kind to investigate the moderating effects of social and cultural transformation on efforts and/or investments to enhance intellectual capital (more specifically, human capital) and thereby promote entrepreneurship. The study is also valuable for its focus on a unique context, i.e. female entrepreneurship in the Middle East and, more specifically, Saudi Arabia. The study offers useful insights and implications both for theory and practice, particularly for policymakers seeking to augment their intellectual capital formation efforts through an effective orchestration of socio-cultural transformation, which seeks to empower female entrepreneurs to succeed in the face of significant socio-cultural impediments.

Foreign market entry is considered as a key strategy to grow and survive over longer period of time for small and medium enterprises (SMEs). The decision to enter a foreign market is not a straightforward story. Considering resource limitation, SMEs need to analyse the key barriers to entry in foreign markets very carefully. The purpose of this paper is to identify these barriers for the SMEs in a developing country.

This study has used primary data collected through questionnaires from 212 Bangladeshi SMEs. A mixed method data analysis technique is used to analyse the firms both from micro- and macro-levels. Following the running example-based case study approach, this study has developed and validated a partial least square-based structural model to assess the key barriers to entry in foreign markets.

This study has identified the key socio-economic barriers faced by the SMEs in a developing country to enter in foreign markets. It has successfully framed the socio-economic barriers to enter in foreign markets for Bangladeshi SMEs as a second-order hierarchical model.

It is often believed that foreign market entry is more affected by social barriers as explained by the existing theories including the Uppsala model. This study, however, revealed that the international market expansions of SMEs in developing countries are more sensitive to the economic barriers.

Recent disruptions have sparked concern about building a resilient and sustainable manufacturing supply chain. While artificial intelligence (AI) strengthens resilience, research is needed to understand how cloud adoption can foster integration, collaboration, adaptation and sustainable manufacturing. Therefore, this study aimed to unleash the power of cloud adoption and AI in optimizing resilience and sustainable performance through collaboration and adaptive capabilities at manufacturing firms.

This research followed a deductive approach and employed a quantitative method with a survey technique to collect data from its target population. The study used stratified random sampling with a sample size of 1,279 participants working in diverse manufacturing industries across California, Texas and New York.

This research investigated how companies can make their manufacturing supply chains more resilient and sustainable. The findings revealed that integrating the manufacturing supply chains can foster collaboration and enhance adaptability, leading to better performance (hypotheses H1-H7, except H5). Additionally, utilizing artificial intelligence helps improve adaptability, further strengthening resilience and sustainability (H8-H11). Interestingly, the study found that internal integration alone does not significantly impact collaboration (H5). This suggests that external factors are more critical in fostering collaboration within the manufacturing supply chain during disruptions.

This study dives into the complex world of interconnected factors (formative constructs in higher order) influencing manufacturing supply chains. Using advanced modeling techniques, it highlights the powerful impact of cloud-based integration. Cloud-based integration and artificial intelligence unlock significant improvements for manufacturers and decision-makers by enabling information processes and dynamic capability theory.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.