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Construction accidents cause as much harm in Bangladeshi construction as it does globally. This study examines the primary causes of accidents and undertakes an impact assessment of neglecting safety protocols in construction projects in Bangladesh, funded publicly, privately and through a Public-Private Partnership (PPP).

Research was initiated with a comprehensive questionnaire from experts, sourcing data in Bangladesh's construction sector. Data analysis utilized Cronbach's alpha, relative important index and a fishbone diagram for causal visualization.

The study identified the three major causes of safety negligence as “Poor safety culture (RII = 0.857),” “Top management's inattention (RII = 0.825)” and “Lack of personal care (RII = 0.825).” Effects: “Rising project expenses (RII = 0.88),” “Increased medical costs (RII = 0.87)” and “Worker compensation expenses (RII = 0.87).” The study also used the Ishikawa-Fishbone and effect-flow diagrams to highlight accident causes/effects and compare their primary causes in PPP, public and private projects.

Research on construction safety in Bangladesh has mainly focused on identifying factors within specific construction sectors. Since the rules and regulations vary across these three sectors, different health and safety hazards may arise. As a result, this research fills a critical gap by providing a comparative study that examines the causes and impacts of different project types in the Bangladeshi construction industry. By pinpointing the result, this research aims to enhance the safety and well-being of the construction workers sector-wise, thereby contributing to the industry's sustainable growth.

This study aims to find the response by stock market against the announcements of quarterly earnings is empirically tested by exploiting event study methodology. Efficient market hypothesis (EMH) on Saudi stock exchange is also tried on.

The market model is applied to help gauge the expected returns and to illustrate abnormal returns around the event date.

The results established that Saudi Stock Market does not bear semi-strong form of EMH. How efficient is the Saudi market is also reflected through evidence of significant abnormal returns and post-earnings announcement drift around earning announcements dates.

The authors have not used analysts’ forecast as the expected earnings which are the limitation. As mentioned earlier, the authors used the quarterly earnings of the previous year as a proxy and that proxy could have been replaced by analysts’ forecast. Another limitation is that the trading volume in the event window is not considered.

The behavior of Saudi capital market is of much concern, and the study of this with a perspective of EMH is the significance of this paper.

All stakeholders closely watch earnings announcements and its share price movement around the announcement date. Recently, Saudi Arabia has opened its doors to foreign investors, and big foreign investors are going to enter into Saudi capital market, and after their entry, the behavior of market could be different. In the authors’ opinion, this is the right time to study the efficiency of Saudi market before the entry of foreign investors.

This study is based on the gap created by EMH of Saudi market using event methodology, observed in the existing literature, and it will be a contribution to literature.

The banking industry has always been vulnerable to cyberattacks. In recent years, Pakistan’s banking sector experienced the most intense cyberattack in its over 70-year history. Due to these attacks, a large number of debit card accounts of major banks were negotiated. This study aims to examine the impact of cyberattack awareness and customers’ commitment levels after these cyberattacks.

The study integrated the commitment–trust theory framework for the relationship of trust and commitment to the usage of online banking services. The partial least square structural equation modeling is being used to explore the relationship between customer’s trust, which is an outcome of continuous usage, and customer perception of affirmative cybersecurity measures the bank.

The findings revealed that customer trust in online banking is positively associated with customer commitment, but customers’ cyberattack awareness negatively impacts customer trust and commitment to online banking.

The study highlights the importance of proactive communication, transparency and robust incident response that helps organizations establish themselves as trustworthy entities while prioritizing customer information and transaction protection.

The authors report on how cyberattacks on the banking sector influence the trust and commitment of the customers in the sector. The variable of cyberattack awareness used in this study is novel in online banking literature.

This study aims to present the first meta-analysis of the research on social entrepreneurship and socio-economic development (SESED). Nation-states, researchers and organizations realized the pivotal role of social entrepreneurship in socio-economic development in the recent two decades. The body of knowledge in this domain witnessed consistent research growth, but it still lacks a critical review to map the scholarly literature and to guide future researchers.

This study used meta-analysis that combines bibliometric and content analyzes of 83 most relevant articles from 910 initially retrieved articles from the Web of Science, published in 75 different journals and 45 countries during 2005 and 2020. The analysis was performed using Histcite, VOSviewer and Biblioshiny software to identify the most influential aspects and to conduct citation and content analyze of selected publications.

The findings showed an overall consistent growth in research publications during the past 16 years with “Social Entrepreneurship and Enterprise: International and Innovation Perspectives” as the most influential article, “Entrepreneurship and Regional Development” as the most influential journal, and the USA and the UK as the most productive countries. The keyword co-occurrence analysis exposed five thematic clusters and content analysis revealed five streams within the selected publications.

This study provides 10 research questions that urge future researchers to conduct a thorough investigation on how social entrepreneurship while solving social, cultural, environmental and community issues, contributes to socio-economic development.

This study identifies prominent trends, intellectual structure, leading research streams and specific future research directions in the field of SESED.

Women entrepreneurs contribute significantly to Asian economies. However, women in this region face an alarming array of barriers to entrepreneurship. This research study aims to examine the factors, i.e. government support, family social support, financial literacy and managerial skills, in building the entrepreneurial capacity of women entrepreneurs under the lens of the person–environment (P-E) fit theory. Furthermore, the study also examines the moderating effect of socio-cultural barriers in the said relationships.

For the study, the data was collected from the owners of 311 women-owned manufacturing and services sector enterprises from the northern Indian community.

Findings suggest that all the factors significantly affect the entrepreneurial capacity of women entrepreneurs, and the barriers work as a moderator between the relationships.

Based on P-E fit theory, this unique research study proposes a model to test the role of factors such as government support, family social support, financial literacy and managerial skills in developing women entrepreneurs’ entrepreneurial capacity along with examining the moderating role of socio-cultural factors contributing to the entrepreneurial capacity of women.

SMEs that manage more sustainability focused initiatives into their core business strategy can possibly benefit from lower expenses, reduced threats and new business opportunities, but in Malaysia most of the SMEs are still far off in terms of adapting to a sustainable business growth outline from a holistic point of view. Hence, this study aims to serve deeper understanding about a strategic innovation focused sustainable growth model on basis of multidisciplinary QBL-QHIM theoretical perspectives where strategic innovation practices intervene in between desired growth and government support (regulations).

This conceptual investigation embraces a newly emerged concern of sustainable business growth in SMEs, considering ranges of literature reviews from the disciplines of management and entrepreneurship. The study also systematically explores the concepts of regulations, strategic innovation practices on basis of QBL and QHIM theories to adjust the sustainable business growth model from a holistic angle.

The outcomes show that multidisciplinary QBL-QHIM conjunction within the interrelationships of the selected constructs holds the potential for innovation focused business growth in a more sustainable, comprehensive and holistic manner. The study also detects that exploitative-explorative innovation practices can possibly mediate in between suitable regulations and sustainable business growth of SMEs, considering supportive external environment.

Researches are encouraged to test the proposed model.

The study indicates a conceptual configuration for policy makers as well as entrepreneurs to ensure sustainable business growth for SMEs. The outcomes of the study also provide useful direction on decision-making process of owner or manager considering social, economic, environmental and spiritual aspects of daily operations.

The conceptual model may possibly able to generate more social values, considering a holistic angle into business activities.

The conceptualization is a unique attempt, considering developing regions to extend the current understanding of strategic innovation focused sustainable growth process of SMEs from a holistic angle.

This study aims to determine how changes in macroeconomic indicators and the housing prices index (HPI) are related. These factors can cause short-term and long-term changes in the housing market in Spain.

The study used cointegrating regression, fully modified ordinary least squares and dynamic ordinary least squares methodologies. The models are trained using quarterly time series data for these parameters from 2010 to 2022. A comprehensive examination is conducted to explore the relationship between macroeconomic issues and fluctuations in the HPI.

The results indicate statistically significant short-run effects (p < 0.05) of economic growth, inflation, Spanish stock indices, foreign trade and the interest rate on HPI. The inflation variables, Spain’s stock indices, interest rate and monetary rate, have statistically significant long-run effects (p < 0.05) on HPI. The exchange rate, unemployment and money supply have no substantial impact on HPI in Spain.

The study’s findings significantly contribute to increased information concerning the level of investing activity in the Spanish housing sector. After conducting an in-depth study of both the long-run and short-run connections with HPI, the study proved to be highly effective in formulating appropriate policies.