Abstract Law implementation seems to be a little-explored phenomenon, despite the reality that it has become abundantly obvious that law implementation is influenced by various factors prevalent in the country, and such factors can influence and hinder potential legislative implementation. This study examines a few of the key factors that influence cybersecurity law implementation in emerging economies such as Pakistan. Managers from banking and IT firms were surveyed about the law’s implementation factors that could affect its implementation. The prominence of corruption, which is a significant obstacle to cybersecurity law implementation, appeared to be the most influencing factor in Pakistan. The findings from a sample of 172 respondents employing IBM SPSS 23.0 revealed that corruption, discrimination, illicit conduct, and ambiguity appeared to have a significant negative influence on cybersecurity law implementation, whereas expertise and public confidence emerged to have a significant positive influence on the implementation of cybersecurity laws in Pakistan.

Abstract  SMEs’ survival and performance continue to be a central concern for strategy experts. There are numerous factors that affect the SMEs’ survival for new entrants in the industry. This study incorporates research on the survival and performance of new entrant SMEs in a relationship with initial capital investment, experience, R&D, and innovation culture. We examined the influence of the SMEs’ initial investment, experience, R&D, and innovation culture on its survival and performance guided by the evolutionary model of entry and exit to conclude whether these are positively related to each other. Further, we investigated moderated role of innovation culture between initial capital, experience, R&D, and firm performance. The outcomes of this study established on a large size sample of 337 SMEs suggest that firms with a large initial investment, prior experience, and R&D have higher probabilities of survival and economic performance and innovation culture strengthens the relationship between predictor and outcome constructs.

Abstract The ultimate purpose that entrepreneurs of small and medium enterprises should endeavor for is to achieve a sustained competitive advantage over their competitors. The objective of this study was to investigate the significance of, and emphasis put on dynamic, valuable, rare, inimitable, heterogenous, and non-substitutable managerial capabilities in their links with sustained competitive advantage for the firm. Overall, the findings demonstrated strong, substantial, and positive effects of dynamic capabilities on sustained competitive advantage, providing support, evidence, and substantiation to the resource-based view (RBV) of the firm. The standard multiple linear regression model accounted for 87.3 percent of the variation in sustained competitive advantage. In essence, the research findings not only extended to the literature on the correlation between dynamic capabilities and competitive advantage, but also presented critical information to both policymakers and experts on the subject.

Abstract Given the mixed findings on the direct relationship between corporate social responsibility (CSR) and financial performance, researchers have strived to determine whether the relationship is context-dependent. This study examines whether perceived corruption measures such as institutional quality and law enforcement (IQLE) and internal compliance and ethical management (ICEM) moderate the relationship between CSR and financial performance by applying the corruption framework. The findings revealed that IQLE has a negative moderating impact on the positive relationship between CSR and financial performance. This study also discovered that ICEM, as a moderator, helps to strengthen the positive relationship between CSR and financial performance.

Abstract Successful institutional and technological innovations are critical for smart city governance. The intrinsic complexity that characterizes institutional and technological innovations in smart cities is examined in this paper. A city’s ability to innovate is heavily reliant on its technology and its ability to deploy it. This paper goes beyond the direct connections between smart city governance and stakeholder satisfaction and smart city governance and crime rate by proposing that institutional and technological innovation play a moderating role in these relationships. Multiple regression models were developed by surveying 214 Pakistani public and private citizens with a questionnaire. Using stakeholders and innovation theories, an analysis of the relationships between smart governance, stakeholder satisfaction, and city crime rates reveals a moderating role of institutional and technological innovation.

Abstract The fundamental goal of this research is to investigate the quantitative relationship between technology-oriented knowledge management, innovation, e-governance, and smart city performance using knowledge management-based service science theory and diffusion of innovation theory. Previous research has found a connection between knowledge management, innovation, e-governance, and e-service delivery. We believe that these are not only direct connections but also contextual and interactive relationships, so we explored the significance of innovation as a mediator between knowledge management and e-service delivery. Furthermore, we investigated the moderating impact of e-governance on the relationship between innovation and e-service delivery. Using SPSS to analyze data from 569 participants in South Korea, Pakistan, Japan, and Bangladesh, we discovered that these direct relationships are contextual in the sense that innovation mediates the relationship between knowledge management and e-service delivery and e-governance moderates the correlation between innovation and e-service delivery. Based on the outcomes from quantitative analysis, all our proposed hypotheses in this study were supported significantly.

Artificial intelligence (AI) and the Internet of Things (IoT) are vital to the development of smart cities and have a substantial impact on the delivery of smart services. The primary objective of this study is to provide substantial support for the notion that AI and IoT have a significant impact on the delivery of smart services in smart cities, as well as how smart administration in smart cities mediates this relationship. Government leaders and decision-makers around the world are vigorously changing and implementing dynamic policies to administer healthcare, education, infrastructure and disaster management, and other government services, particularly in backlash to the unique COVID-19 pandemic. It is now more essential than ever to comprehend how developed and emergent AI and IoT technologies might assist smart city administration in delivering smart services. We examined our hypotheses using data from 550 university graduate students in SPSS 26 and discovered that deploying AI and IoT in smart cities has a significant positive impact on smart service delivery and that this direct relationship is substantially mediated by the smart city administration.