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This study aims to examine the perceptions and opinions of relevant stakeholders regarding entrepreneurship opportunities and growth in the Gilgit-Baltistan (GB) province of Pakistan. Specifically, it focuses on the role of special economic zones (SEZs), such as Maqpondass SEZ and the China–Pakistan Economic Corridor (CPEC), in fostering nascent entrepreneurship (NE) and promoting regional development.

The study employs ordered logistic regression to estimate the relationship between various independent variables and nascent entrepreneurship (NE). The independent variables include awareness of CPEC (AAC), awareness of Maqpondass SEZ (AAMEZ), SEZ incentives (SEZInc), regional market competitiveness (RMC), loan availability (LA) and education and experience (EE).

The findings indicate a robust positive relationship between SEZ-based industries and the growth of local small businesses and enterprises in Gilgit-Baltistan. Furthermore, the study suggests that government incentives, access to finance, skill development, relevant knowledge, and connections with local businesses facilitate the establishment of new ventures.

The study underscores the importance of focusing on human capital development, providing financial assistance, and creating incentives for adopting advanced technology to foster the growth of local businesses in Gilgit-Baltistan through SEZs. It emphasizes the need for policymakers and stakeholders to prioritize initiatives that support entrepreneurship and innovation in the region.

This study contributes to the existing literature by providing novel insights into the perceptions of entrepreneurship development in Gilgit-Baltistan, particularly concerning the influence of natural resources and SEZs. It fills a gap in the research by offering valuable implications for policymakers, researchers, and practitioners seeking to promote sustainable economic development in the region.

The purpose of this paper is to facilitate further understanding of project complexity by highlighting the factors contributing to project complexity as reported by the practitioners facing the “actuality” of projects.

A qualitative research approach was undertaken by conducting semi‐structured interviews with the primary focus on the aerospace industry. Participants are involved in a variety of project settings, exhibiting different types and levels of complexity.

Analysis of responses highlights “people” issues as the main factor contributing to project complexity and the importance of soft skills in managing complex projects.

The research is based on a limited number of respondents from the aerospace sector. This will be further refined and improved upon by compiling views of additional practitioners involved in multiple aerospace projects.

The main research conclusions are that “hard” project management skills help to organise, plan and manage, and track changes during the course of the project. However, understanding of project complexity and its contributing factors helps practitioners to understand the dynamic, social and complex contexts of projects, thus highlighting the importance of “soft” skills.

This paper proposes the “project complexity triangle – people, product and process”, highlighting their importance as the three major areas contributing to project complexity.

This study applies bibliometric analysis to explore the evolution of the research paradigm of agility related to management and organisations.

Authors prepared a quantitative study of the review of selected articles using co-citation analysis and bibliographic coupling. Based on the bibliometric analyses, the evolution of the agility field (past, present, and future of agility research) was prepared.

Emergent themes focus on the importance of agility in interpreting organisational responses in the context of issues as diverse as information systems and business intelligence systems, market orientation, strategic alignment and social computing. Future research needs to focus on digitisation in conjunction with informatisation, an important topic for creating a new organisational culture and knowledge management through increased collaboration between humans and machines.

As the authors are aware, this study is one of the first to choose to show the overall development and importance of agility through quantitative bibliometric methods used to assess the value and contribution of scientific productivity and its impact on development.

Data mining along with its varied technologies like numerical mining, textual mining, multimedia mining, web mining, sentiment analysis and big data mining proves itself as an emerging field and manifests itself in the form of different techniques such as information mining; big data mining; big data mining and Internet of Things (IoT); and educational data mining. This paper aims to discuss how these technologies and techniques are used to derive information and, eventually, knowledge from data.

An extensive review of literature on data mining and its allied techniques was carried to ascertain the emerging procedures and techniques in the domain of data mining. Clarivate Analytic’s Web of Science and Sciverse Scopus were explored to discover the extent of literature published on Data Mining and its varied facets. Literature was searched against various keywords such as data mining; information mining; big data; big data and IoT; and educational data mining. Further, the works citing the literature on data mining were also explored to visualize a broad gamut of emerging techniques about this growing field.

The study validates that knowledge discovery in databases has rendered data mining as an emerging field; the data present in these databases paves the way for data mining techniques and analytics. This paper provides a unique view about the usage of data, and logical patterns derived from it, how new procedures, algorithms and mining techniques are being continuously upgraded for their multipurpose use for the betterment of human life and experiences.

The paper highlights different aspects of data mining, its different technological approaches, and how these emerging data technologies are used to derive logical insights from data and make data more meaningful.

The paper tries to highlight the current trends and facets of data mining.

This study investigated the effect of pricing mechanism and oversubscription on the heterogeneity of investors' opinions on initial public offering (IPO) valuation.

Besides the ordinary least square method, this study incorporated robust least square, stepwise least square and quantile regression methods to investigate the aftermarket behaviour of investors using the price range on the first day of trading of 82 IPOs listed on the Pakistan stock exchange.

The aftermarket behaviour of investors was found to be significantly influenced by the pricing mechanism, oversubscription, financial leverage, political stability and the risk of IPO, whereas control of corruption showed an insignificant impact. Concurrently, the findings showed that pricing mechanism and oversubscription played a crucial role in determining the intensity of investors' heterogeneous opinions at high levels of significance.

Pricing mechanism and oversubscription not only signal the quality of IPOs but also provide an important means for reducing the information asymmetry associated with new listings. Based on the literature review, it was found that both the pricing mechanism and oversubscription have yet to be explored in investigating the aftermarket behaviour of investors using the price range in the Pakistan IPO market. This study suggests that book building pricing mechanism and oversubscription are associated with lower heterogeneity in investors’ opinions at a high level of significance.

The purpose of this paper is to explore the benefits of the internet of things (IoT) technology on geriatric telehealth.

An exploratory case study approach is used to understand the applicability of the internet of medical things in geriatric telehealth. Data was collected from several managers who analyzed rates of re-hospitalizations for patients using telehealth services compared to those not using telehealth services and observations of patient satisfaction rates with telehealth services.

Benefits from the use of IoT included significant reductions in re-hospitalization rates for older adults and patients became more engaged in maintaining their health and wellness goals while becoming more tech-savvy, empowered and satisfied with the telehealth experience.

The present manuscript is among the few reports on the benefits of IoT on geriatric health care.

Drawing on the self-determination theory, this cross-cultural study aims to examine the associations between the dualistic framework of work passion and work outcomes (job satisfaction, job engagement and workaholism).

Using data from a time-lagged design with two-waves, service organizations employees of the UAE (n = 150) and Canada (n = 154) participated in the study. Hierarchical regression analysis is used to analyze the associations among the variables.

The study results support the harmonious and obsessive passion relationships with the identified work outcomes. In both the UAE and Canada, harmonious and obsessive passion predicted all three hypothesized work outcomes (workaholism, job satisfaction and job engagement). The study also acknowledged various culture-specific work passion effects.

The study encompasses the dichotomy of the work passion paradigm to compare between East and West. The examination of the work passion results offers a precise method to examine in what manner the two types of passion is linked to different work outcomes. Harmonious and obsessive passion is associated with negative (workaholism) and positive (job satisfaction and job engagement) outcomes. Accordingly, the findings strengthen the conceptual outline of the passion construct. Moreover, the research highlighted the importance of enriching the organization's environment with passionate human capital. This study shall help the decision-makers to formulate the suitable strategies to imbibe passion within the work culture.

This study contributes to the literature by being the first to compare the influence of harmonious and obsessive passion on work outcomes between the East and West cultures. Also, in this study, we draw upon the self-determination theory to investigate how work passion affects employees' work outcomes in a cross-cultural setting.

The board structure (BS) is pivotal in modern corporate governance (CG). This study aims to investigate BS variables (BSIZE, BIND and chief executive officer [CEO] duality) and their correlation with risk-taking behavior indicators, enriching the understanding of how CG shapes financial institutions’ (FIs) decision-making in Pakistan.

By scrutinizing data from 67 financial entities listed on the Stock Exchange of Pakistan spanning from 2011 to 2022 through panel data regression techniques, the research emphasizes that BS holds a substantial influence over the risk tendencies exhibited by these firms.

Key findings suggest that board size has a positive influence, aligned with previous CG research. Smaller boards perform better and avoid excessive risk-taking, contrasting some negative relationship claims. More independent directors are recommended to curtail risk and financial disruption. Holding both CEO and chair roles reduces risk exposure, resonating with reputational and employment risk theory. It is essential to recognize that BS’s impact on risk-taking is nuanced and context-dependent.

Policymakers, scholars, practitioners and investors working in the market for financial companies might greatly benefit from the empirical findings of this study. Imposing mandates on FIs to uphold adequate capital reserves functions as a safeguard against unforeseen losses, thereby diminishing the probability of unwarranted risk-taking.

Prior studies in this domain predominantly focus on nonfinancial sectors. In addition, existing research often explores the relationship between BS and firm risk-taking solely within the banking sector, overlooking other FIs. This study contributes by using a comprehensive data set encompassing all types of FIs, thus extending the existing literature.