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The purpose of this study is to analyze the moderating effect of adaptability on the relationship between cognitive social capital and innovation capacity in companies in the tourism sector. The study aims to contribute to a better understanding of the direct and indirect linkage generated between these variables.

The research was designed under the quantitative approach, and an empirical study was carried out by applying a questionnaire to 300 companies located in Arequipa, Perú. Data processing was conducted using partial least squares structural equation modeling using Smart PLS software.

The results demonstrate the existence of a positive and significant direct relationship between cognitive social capital and innovation capacity. Furthermore, it was found that adaptability moderates this relationship, improving the results. The study shows that shared goals and culture facilitate the transfer of knowledge, which allows the exploration of new opportunities, and that the accommodation of business resources enables companies to respond quickly to new market requirements, promoting the capacity for innovation.

Organizations operate in an environment of intense competition. Therefore, developing the capacity for innovation is essential to stay competitive. Managers must strengthen cognitive relationships by sharing objectives and culture with their contacts, in addition to developing the ability to respond to market changes. This will stimulate the creation of new products and services.

This document adds value to the literature on social capital and innovation, demonstrating the importance of adaptability and its moderating effect on the relationship between cognitive social capital and innovation capacity. This has not been explored before. The research shows how these three variables act synergistically in a model, improving results, which is essential to achieve the competitiveness of companies in the tourism sector of an emerging country.

Despite the fact this is already known over how sports spectators interpret sponsorship content, less is known about participants’ sentiments toward sponsors, which are sometimes crucial to the survival of participation sporting events. Various researchers have examined at how spectators recognize or recall sponsors, but very few have explored it from the viewpoint of sport participants. This research portrays a shift in focus from spectator-based to participant-based marketing by studying the differences over how participants and spectators perceive sport sponsorship, recognizing the current knowledge gap regarding the process of sponsorship in participant-based sports. Sponsorship previous research has focused on the effectiveness of sport sponsorships utilizing variables such sponsor recognition, desire to sponsors’ products and anticipated sponsorship advantages (Koronios and Dimitropoulos, 2020). The examination of sport sponsorship from the standpoint of the sport spectator is something that many of the past studies have in common. The application of past research analysing sport sponsorship from a distinct perspective: that of the sport participant, distinguishes the present study. In addition, the present study explores the distinctions in sponsorship effectiveness between spectators and participants, a topic which hasn't been addressed at before in sponsorship literature.

This study depicts a move away from spectator-based to participant-based marketing, utilizing contemporary implicit physiological variables to measure participants’ and spectators’ awareness of and attitude toward sponsors, and it proposes a model of their purchase intentions toward real sponsors of a martial event. A total of 1,332 questionnaires were collected and analysed.

Factors such as sport involvement, social media use, sincerity and beliefs of sponsorship were found to have a significant effect on purchase intention of spectators and participants. And crucial differences in the significance of various antecedent factors between spectators and participants were detected in the formation of positive purchase and word-of-mouth intentions.

This paper gives prominence to contemporary methodological advances in the field of implicit social cognition and their relevance to sponsorship. This is the first sponsorship research which examines the effectiveness of sponsorship variables under the implicit–explicit variables dichotomy.

The public sector (PS) has extensively utilized information technology (IT); however, research reveals that the failure rate remains high, particularly for national and sectoral IT (NaSIT) applications. To this end, numerous studies have been conducted to gauge the success of IT applications, where a significant number have demonstrated the importance of planning in this regard. Consequently, the current study aims to investigate the factors that influence the success of NaSIT planning and implementation within this sector.

A qualitative methodology and a systematic literature review encompassing papers indexed in seven databases until November 2022 were utilized.

The review of 92 selected papers revealed that the success of NaSIT planning and implementation is influenced by a number of factors divided into nine main categories. These include vision, goals and objectives; alignment; interoperability; infrastructure; involvement; equity and digital divide; privacy, security and trust; administration; and culture. Human, social, economic and organizational factors comprise the vast majority of these factors. By addressing these factors, the failure rate of IT plans can be reduced. Governments will be able to effectively employ this technology to accomplish their missions if these factors are considered in order to decrease the failure rate of IT plans.

By examining the factors that influence the success of NaSIT planning and implementation in the PS, this study attempts to provide a comprehensive view of various types of research. Furthermore, policymakers can employ this perspective to improve the efficiency and effectiveness of the PS.

This study aims to examine the ability of independent directors to discipline related-party transactions (RPTs) among listed companies in Malaysia. Firms typically appoint independent directors individually, not as a group. However, board members are commonly viewed collectively as a group, and evidence of the abilities of individual directors is scarce.

The attributes of individual independent directors include accounting literacy, length of service, audit committee membership and active participation in board and audit committee meetings. The unit of analysis is the individual independent director. The final sample consists of 1,552 observations in 2017, and RPTs are categorized as either efficient or conflicting.

The study finds that the tenure of individual independent directors and active participation in board meetings affect the firm’s engagement in RPTs. However, the financial literacy, audit committee membership and attendance of independent directors at audit committee meetings do not affect the firm’s engagement in RPTs, either efficient or conflicting. Overall, this result offers limited support for the upper-echelon theory concerning the attributes of individual independent directors and RPTs.

This study uses cross-sectional observations for 2017, which predates the COVID-19 pandemic. Thus, this study ignores the impact of restrictions in community mobility during the pandemic on the independent director’s ability to monitor the corporation. This circumstance may have implications for practice and merit further research.

The findings provide information for board nominating committees, regulators and policymakers that the capability of individual independent directors to fulfill their responsibilities is limited. The firm’s nominating committee must be very selective in nominating and appointing independent directors with appropriate competencies. Investors should choose companies that have reappointed the same independent directors for an extended period, as they may benefit from the experience in protecting investors’ interests.

This paper contributes novel evidence to upper-echelon theory literature on the association between independent directors and RPT types from the perspective of individual independent directors.

The study aims to examine the association between the sustainable development triangle and real earnings management (REM) and the moderating role of business innovation.

The study was based on the quadruple bottom line approach to measuring corporate sustainable development. For the REM, Roychowdhury model is used to identify the practices. The study used panel data using 740 firm-year observations from non-financial listed companies in the Nigerian market from 2011 to 2020, collected from the Nigeria Stock Exchange.

The study finds a negative influence on the association of economic, environmental, social and governance (EESG) on REM in related party transactions. Thus, by regressing the three different components of REM separately, then EESG will have strongest impact as well. The study suggests a bidirectional association between EESG and REM. Furthermore, the study finds that business innovation strengthens the negative association between EESG and REM. The study concludes that sustainable companies in the Nigerian public market are less liable to practice REM.

The study examines only non-financial listed companies quoted on the Nigeria Stock Exchange, which restricts the generalization of the findings.

The findings of the study should be of immense value to the investors who need comprehensive appraisal of earnings quality to enhance sustainable development strategies for sustainable business innovation among Nigeria firms. Thus, sustainability and innovation can serve as the principles for supporting developing countries impacted by the COVID-19 pandemic and supporting a sustainable development.

The study will be of immense value to policymakers, regulators and standard setters who demand for facts insightful of business practices and reporting behaviors for sustainable development.

Existing studies have mainly focused on triple bottom line. This study adds to the existing body of literature on the Quadruple bottom line in an African market. More so, the study investigates the impact of business innovation on the relationship between economic, environmental, social and governance and real earnings management, which was rarely investigated in the prior literature.

The researchers aim to investigate the role of psychological capital (PsyCap) in facilitating intrinsic motivation and goal-commitment among employees at the workplace, affecting outcome variables, namely, in-role and extra-role job performance.

Data were collected from 640 employees working in the information technology sector of India. Covariance-based structural equation modeling (CB-SEM) was used to test the hypothesized relationships.

Analysis revealed a significant positive impact of PsyCap on the two behavioral facets of job performance. Intrinsic motivation and goal-commitment were found mediating the influence of PsyCap on the two facets of job performance.

The information technology sector is characterised by continuous change. It requires voluntary prosocial behavior from employees, where the employees are expected to display multifaceted job performance behaviors, where they go beyond their job duties to cater for the dynamics of the IT sector. The present study provides means by which intrinsic motivated and goal-committed behavior are facilitated for both the in-role and extra-role job performance.

The present study is among the few preliminary studies that have provided evidence that intrinsic motivation and goal-commitment are the two variables which aid PsyCap in predicting both the prescribed and voluntary job performance behaviors.

This study aims to integrate the resource-based view (RBV) with other theories that consider external factors necessary to respond successfully to dynamic and uncertain entrepreneurial business conditions.

The paper introduces an multi-criteria decision-making (MCDM) approach, utilizing the axial-distance-based aggregated measurement (ADAM) method with weights determined by the preference selection index (PSI) method, to rank eight European countries based on the Global Entrepreneurship Monitor (GEM) data. Additionally, the paper extends the existing entrepreneurial ecosystem taxonomy (EET), offering an additional classification.

The performed analysis emphasizes the importance and necessity of involving different dimensions of EE in assessing the countries' entrepreneurship performance, which facilitates creating adequate policy measures.

The crucial limitations are assessments based only on the GEM data from a particular period, possibly leading to a certain bias. Future research should involve data from various resources to increase the results' reliability.

The ranking results and country classification obtained using the ADAM-based approach and two distinct taxonomies served as the basis for formulating tailored policy recommendations, aiming to formulate tailored policy implications for increasing the number of new entrepreneurs and improving innovativeness, sustainability and internationalization of existing entrepreneurs for each group of countries.

With gaining popularity, online communities are increasing. It is leading to the data and information overflow. So, there are some challenges like cyber frauds, cyberbullying, etc. while engaging with online communities. Not only this, anonymity of the participants, stress and racism are also big challenges in online communities' interaction. Online harassers' attack tactics have changed over time. In addition, there are challenges like quality of discussion, inequality in participation of the users, etc. may scale online communities towards incitement and activism. Therefore, this study will try to analyse these challenges for overall benefit of the society.

The underlying fuzzy set theory is employed to handle the fuzziness of users' perceptions since the attributes are expressed in linguistic preferences. Through exhaustive literature review, the authors have identified 15 challenges. These challenges are further categorised as cause and effect by using DEMATEL (Decision-Making Trial and Evaluation Laboratory) approach.

Lack of strategic planning and uninspired discussions between users has emerged as a major challenge in cause category. This study further demonstrates how individual challenge can be managed and developed to navigate the online communities to maintain a healthy environment in society.

Results are based on limited dataset. Therefore, findings cannot be generalised for all online communities.

The research findings offer a suitable direction to policymakers to formulate and design policies, laws and regulations to increase user engagement in the online community. The study is beneficial to firms and researchers in understanding the factors influencing effective management of online communities.

This paper aims to explore factors influencing apartment price volatility in the two biggest cities in Vietnam, Hanoi and Ho Chi Minh City.

The study uses the supply and demand approach and provides a literature review of previous studies to develop four main hypotheses using four determinants of apartment price volatility in Vietnam: gross domestic product (GDP), inflation rate, lending interest rate and construction cost. Subsequently, the Vector Error Correction Model (VECM) is used to analyze a monthly data sample of 117.

The research highlights the important role of construction costs in apartment price volatility in the two largest cities. Moreover, there are significant differences in how all four determinants affect apartment price volatility in the two cities. In addition, there is a long-run relationship between the determinants and apartment price volatility in both Hanoi and Ho Chi Minh City.

Limitations related to data transparency of the real estate industry in Vietnam lead to three main limitations of this paper, including: this paper only collects a sample of 117 valid monthly observations; apartment price volatility is calculated by changes in the apartment price index instead of apartment price standard deviation; and this paper is limited by only four determinants, those being GDP, inflation rate, lending interest rate and construction cost.

The study provides evidence of differences in how the above determinants affect apartment price volatility in Hanoi and Ho Chi Minh City, which helps investors and policymakers to make informed decisions relating to the real estate market in the two biggest cities in Vietnam.

This paper makes several recommendations to policymakers and investors in Vietnam to ensure a stable real estate market, contributing to the stability of the national economy.

This paper provides a new approach using VECM to analyze both long-run and short-run relationships between macroeconomic and sectoral independent variables and apartment price volatility in the two biggest cities in Vietnam.

The Saudi 2030 Housing Program Vision aims to increase the population of Riyadh City, the capital of the Kingdom of Saudi Arabia, to between 15 and 20 million people. This paper aims to predict the demand for residential units in Riyadh City by 2030 in line with this vision.

This paper adopts a statistical modeling approach to estimate the residential demands for Riyadh City. Several population growth models, including the nonlinear quadratic polynomial spline regression model, the sigmoidal logistic power model and the exponential model, are tested and applied to Riyadh to estimate the expected population in 2030. The growth model closest to the Kingdom’s goal of reaching between 15 and 20 million people in 2030 is selected, and the paper predicts the required number of residential units for the population obtained from the selected model. Desktop database research is conducted to obtain the data required for the modeling and analytical stage.

The exponential model predicts a population of 16,476,470 in Riyadh City by 2030, and as a result, 2,636,235 household units are needed. This number of housing units required in Riyadh City exceeds the available residential units by almost 1,370,000, representing 108% of the available residential units in Riyadh in 2020.

This study provides valuable insights into the demand for residential units in Riyadh City by 2030 in line with the Saudi 2030 Housing Program Vision, filling the gap in prior research. The findings suggest that significant efforts are required to meet the housing demand in Riyadh City by 2030, and policymakers and stakeholders need to take appropriate measures to address this issue.