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The study aims to investigate the mediation effect of the Audit Committee’s (AC) effectiveness on the relationship between knowledge intensity and firm performance (FP) by considering the disparate effect of each AC characteristic on its effectiveness.

The study uses the partial least squares-structural equation model (PLS-SEM) to weigh the AC characteristics for its effectiveness and analyzes the relationships between the variables included in the models. Data was collected from authentic sources for 133 National Stock Exchange (NSE)-listed companies in six industries covering the period 2016 to 2020.

The results indicate that eight out of eleven AC characteristics, namely, nonexecutive directors, independence, expertise, AC-charter, multiple directorships, frequency of AC meetings, attendance of AC meetings and board meetings by AC directors, significantly influence the AC effectiveness while mediating the relationship between knowledge intensity and FP. Further, each characteristic of AC has a disparate effect on AC effectiveness depending on the measurement context.

Apart from guiding the policymakers, management and stakeholders to effectively use AC characteristics in enhancing FP, this study further contributes to the literature by providing a new way to weight AC characteristics based on their individual contributions; and exploring new path models to analyze the multidimensional effect of various AC characteristics.

To the best of the authors’ knowledge, the study is the first to examine the mediation role of AC effectiveness on the relationship between the knowledge intensity of the firms and their performance. It demonstrates improvisation in measuring AC effectiveness using the disparate weights for each AC characteristic, computed based on their relative contribution to AC effectiveness.

This study seeks to enhance productivity, motivation and well-being of workers by improving decision-making processes. Using inner knowledge management (IKM), this study aims to identify, manage and transform unconscious beliefs and negative emotions that limit decision-making processes.

The methodology used is empirical research, analyzing multiple cases qualitatively and using the T-test statistical model to analyze the hypotheses. The study tests the relation between different limiting beliefs and negative emotions that influence decision-making processes.

This study shows that IKM is positively related to the productivity, motivation and well-being of workers.

The study is limited to workers who are mentally healthy, who work in teams and who seek professional help to achieve their goals.

The results indicate that there is a lot of potential to be explored applying IKM in companies and organizations. Specifically, this study proves that there are several inner knowledge assets that constrain the workers’ potential and therefore affect the efficiency of businesses.

The results have strong implications for how companies and organizations can create great value for themselves and their workers.

To the best of the authors’ knowledge, this is the first data-based study using an IKM model. The importance of this study opens the door to further exploration of the effects on IKM on productivity, motivation and the general well-being of workers.

A better understanding of the characteristics and capabilities of women entrepreneurs can significantly improve their chances of success. Therefore, three studies were conducted for this exploratory paper. We have discovered the characteristics of entrepreneurial intelligence among female entrepreneurs through semi-structured interviews based on conventional content analysis. According to the second study, qualitative meta-synthesis was utilized to identify characteristics of women's entrepreneurial intelligence at the international level. As a third study, we examined the evolutionary relationships of entrepreneurs' intelligence components following the discovery and creation of opportunities.

The present paper was based on three studies. In the first study, 15 female entrepreneurs were interviewed using purposive sampling in the Guilan province of Iran to identify the characteristics of entrepreneurial intelligence at the national level. An inductive content analysis was performed on the data collected through interviews. Using Shannon entropy and qualitative validation, their validity was assessed. In the second study, using a qualitative meta-synthesis, the characteristics of women's entrepreneurial intelligence were identified. Then the results of these two studies were compared with each other. In the third study, according to the results obtained from the first and second studies, the emergence, priority and evolution of entrepreneurial intelligence components in two approaches to discovering and creating entrepreneurial opportunities were determined. For this purpose, interviews were conducted with 12 selected experts using the purposeful sampling method using the fuzzy total interpretive structural modeling (TISM) method.

In the first research, this article identified the components of entrepreneurial intelligence of women entrepreneurs in six categories: entrepreneurial insights, cognitive intelligence, social intelligence, intuitive intelligence, presumptuous intelligence and provocative intelligence. In the second study, the components of entrepreneurial intelligence were compared according to the study at the national level and international literature. Finally, in the third study, the evolution of the components of entrepreneurial intelligence was determined. In the first level, social intelligence, presumptuous intelligence and provocative intelligence are formed first and social intelligence and provocative intelligence have an interactive relationship. In the second level, entrepreneurial insight and cognitive intelligence appear, which, in addition to their interactive relationship, take precedence over the entrepreneur's intuitive intelligence in discovering entrepreneurial opportunities. With the evolution of the components of entrepreneurial intelligence in the opportunity creation approach, it is clear that intuitive intelligence is formed first at the first level and takes precedence. At the second level, there is cognitive intelligence is created. At the third level, motivational intelligence and finally, at the last level, entrepreneurial insight, social intelligence and bold intelligence.

This study has the potential to discover credible and robust approaches for further examining the contextualization of women's entrepreneurial intelligence at both national and international levels, thereby advancing new insights. By conceptualizing various components of entrepreneurial intelligence for the first time and exploring how contextual factors differ across nations and internationally for women's entrepreneurship, this paper challenges the assumption that the characteristics of women's entrepreneurial intelligence are uniform worldwide. It also depicts the evolution of the components of entrepreneurial intelligence.

The purpose of this paper is to analyze the relationship of the organization and whether employees in the companies operating in the textile sector receive leadership support when they experience depression.

Data were obtained from personnel working in textile companies in organized industrial zones located within five provinces: Istanbul, Ankara, Bursa, Izmir and Antalya (defined as industrial cities of Turkey). The reason for choosing these companies was related to the question of whether the mental state of the personnel may have had an impact on the success of the company, especially as the textile industry works with more manpower and knowledge due to the nature of the job. The moderation relationship of leadership support to the relationship of this situation on organizational culture and organizational commitment was analyzed using the SmartPLS program.

As a result of the analyzes, it was determined that the depression of the employees weakens the organizational commitment, thereby leading to a negative relationship within the organizational culture. But, with leadership support, the organizational commitment increases and the organizational culture is positively affected.

As the research was conducted in companies in the textile sector in Istanbul, this limitation should be taken into account in future research. In addition, as data is collected from white-collar employees in the administrative staff position (the sample group), this situation should also be taken into account. Considering the questions asked in the questionnaire, it is recommended that future research be conducted on blue-collar workers.

It can be concluded that the leadership role is an important factor for organizations to prevent employees from being depressed and employees should receive positive support to ensure organizational commitment. At the same time, it can be concluded that the organizational culture is positively affected if the depression of the employees has decreased.

The research is an original study in terms of investigating the relationship of depression status to the leadership support of employees working in textile companies in an environment where competition is consistently intense.

Integrating artificial intelligence and quantitative investment has given birth to various agricultural futures price prediction models suitable for nonlinear and non-stationary data. However, traditional models have limitations in testing the spatial transmission relationship in time series, and the actual prediction effect is restricted by the inability to obtain the prices of other variable factors in the future.

To explore the impact of spatiotemporal factors on agricultural prices and achieve the best prediction effect, the authors innovatively propose a price prediction method for China's soybean and palm oil futures prices. First, an improved Granger Causality Test was adopted to explore the spatial transmission relationship in the data; second, the Seasonal and Trend decomposition using Loess model (STL) was employed to decompose the price; then, the Apriori algorithm was applied to test the time spillover effect between data, and CRITIC was used to extract essential features; finally, the N-Beats model was selected as the prediction model for futures prices.

Using the Apriori and STL algorithms, the authors found a spillover effect in agricultural prices, and past trends and seasonal data will impact future prices. Using the improved Granger causality test method to analyze the unidirectional causality relationship between the prices, the authors obtained a spatial effect among the agricultural product prices. By comparison, the N-Beats model based on the spatiotemporal factors shows excellent prediction effects on different prices.

This paper addressed the problem that traditional models can only predict the current prices of different agricultural products on the same date, and traditional spatial models cannot test the characteristics of time series. This result is beneficial to the sustainable development of agriculture and provides necessary numerical and technical support to ensure national agricultural security.

This study investigates to what extent the values perceived by tourists throughout cultural tours impact their overall satisfaction levels and behavioral intentions related to the destination. This study further examines the moderating role of tour guide competency in the relationship patterns concerned.

Empirical data were collected via a survey from 420 foreign tourists who visited Cappadocia and participated in guided cultural tours. Partial least squares-structural equation modeling was used for data analysis.

Study results reveal that the effects of quality, emotional, monetary and social value perceptions of tourists gained through cultural tour experiences on their overall satisfaction levels and the effects of overall satisfaction on recommendation and revisit intention are positive and significant. Furthermore, the moderating role of tour guide competency is significant and positive in the relationships between quality value and satisfaction and between satisfaction and revisit intention.

This study offers a critical analysis of discoveries concerning the pivotal role of tour guide competency within the cultural tour experience.

This study aims to examine the influence of big data analytics (BDA) on environmental performance (ENP) in the post-COVID-19 context in Vietnam, as a developing country. In which, this study considers environmental process integration in accounting reports as a mediator variable. Furthermore, digital learning orientation (DLO) and environmental strategy (ES) are proposed as the moderator variables for relationships in the proposed model.

Data was collected by survey method via email with convenient sampling method. In total, 611 emails, including the survey, were sent to executive managers of Vietnamese manufacturing companies listed on stock exchanges. The final sample of 419 responses was used for analysis.

By using the partial least squares structural equation modeling, this study’s results elucidate that BDA positively affects ENP. Moreover, DLO positively moderates the nexus between BDA and environmental process integration in accounting reports, while ES plays a positive moderating role on the nexus between environmental process integration and ENP.

In terms of managerial implications, this paper mentions pretty attractive features of using modern technique and ENP. This research emphasizes the key role of the BDA for both reporting and accounting performance (e.g. environmental process integration and ENP) of the company. Thus, managers should examine implementing BDA when necessary to make accounting reports more transparent and modern, thereby enhancing the organization's ENP. Particularly, managers should focus on improving the organization's ENP indicators.

This study complements the ENP literature by showing a positive effect of BDA and environmental process integration on ENP. Additionally, this study’s results determine the efficacy of DLO and ES as well as their regulatory roles. Finally, this study was conducted to supplement empirical evidence on ENP in the post-COVID-19 context in developing countries, specifically Vietnam.

The main goal of this study is to determine the role of employee commitment in the relations between the compensation system and turnover intentions of employees in the Republic of Serbia, as well as to investigate whether there is a mediating effect of employee commitment in this relation.

The primary methodology implemented in the research was data gathering, obtaining theoretical research works on the proposed relations and empirical studies based on the PLS-SEM, analysed by IBM SPSS Statistics and SmartPLS data processing software. The data for the analysis was obtained from a total sample of 764 employees, collected in the Republic of Serbia via an online questionnaire.

The results indicated a positive statistically significant relationship between the formative construct (compensation system) and reflective construct (commitment), as well as a negative statistically significant relationship between the compensation system and reflective construct (turnover intentions). Employee commitment partially mediates the relationship between the compensation system and turnover intentions of employees.

The study was conducted in Serbia and is thus rooted in the specific national context which is characterized by high power distance and high uncertainty avoidance and more collectivistic society with feminine values more expressed. Most of the previous investigations related to the mentioned constructs were performed in companies from more developed countries, including Western Europe and the United States of America, whereas there has been no such research conducted in Serbia to date. The results portrayed a mismatch between the expected relations regarding the attitudes of employees to the rewards and the proposed national context. Modern companies in Serbia need to follow a modern reward mechanism to build stronger commitment and decrease turnover intentions. Moreover, in most earlier research works, compensation was examined in terms of satisfaction with rewards, while this study was based on questions related to perceptions of employees toward HR compensation practices (“The organization offers me”-type questions), not related to their satisfaction. Further, in the majority of previous research works, the compensation system was examined as a variable in combination with other HR processes (staffing, training and development, career development, employee relations, HR planning, communication, etc.), as a HPWP, while in this case the authors used only the practice of compensation (reward elements and employee performance evaluation) to investigate relations with commitment and turnover intentions.

A limited number of empirical studies have indicated that individuals who experience workplace ostracism tend to engage in subtle and retaliatory behaviors as a means of seeking inner peace. However, research on organizational behavior and employee psychology in relation to ostracism is still in its nascent stages. Specifically, further investigation is warranted to explore how supervisor ostracism influences task procrastination (TP) through psychological processes such as self-efficacy, self-esteem and motivation. Notably, a significant gap exists in the ostracism literature, as it has yet to thoroughly examine employee behaviors related to knowledge hiding (KH) and TP in the context of individual or team-based work (Zhao et al., 2016; Brouwer and Jansen, 2019). Therefore, the present study aims to address this gap and expand the research stream within the education sector by introducing “threat to self-esteem” (TSE) as a mediating factor in the outcomes of ostracism.

The study employed a quantitative approach, using questionnaires to collect data and mainly focused on statistics and standards. The authors used SPSS and Smart-PLS to employ numerical values developed from questionnaire surveys. Likewise, we employed primary data collection tools, including mixed survey analysis (self-reported and peer-reported). The data were collected from middle-level managers working in three public sector universities. By using a three-wave research design with a two-week interval in each phase, we were able to separate the measurement of the predictor and moderator factor [supervisor ostracism (SO) and individual resilience (IR)], mediator (TSE) and outcome variables (KH and TP).

The study has discovered a substantial relationship between variables, and all hypotheses are accepted according to the data results and findings. The study measures the effects of supervisor ostracism on knowledge hiding and task procrastination through mediating effect of threat to self-esteem, which individual resilience moderates. This study adds a few contributions to the current literature, following the goals stated above. First, this attempts to highlight employee KH behavior and TP behavior by identifying SO as the primary predictor.

The organization should closely monitor the level of workplace ostracism. One strategy to accomplish this goal is to routinely gauge the extent of ostracism at work using targeted techniques like surveys and observation. The organization can also create an employee assistance program for the workers to assist them in coping with the mistreatment and better adjusting to the workplace culture. Furthermore, employee empowerment and collaborative decision-making can boost workers' self-esteem, eventually leading to diminishing knowledge-hiding and procrastination habits inside the organization.

There is a research gap regarding the barriers to KH from the perspective of team dynamics and interpersonal mistreatment at work because prior research has focused on knowledge sharing, organizational culture and organizational obstruction. Research on organizational behavior and employee psychology in relation to ostracism is still in its nascent stages. Specifically, further investigation is warranted to explore how SO influences TP through psychological processes such as self-efficacy, self-esteem and motivation. Notably, a significant gap exists in the ostracism literature, as it has yet to thoroughly examine employee behaviors related to KH and TP in individual or team-based work.

Holy cities in India are seeing tremendous gentrification. This study aims to investigate the effect of the changing lifestyle of people towards spirituality and the changing lifestyle's impact on consumer buying behavior on properties in Indian holy cities which has not been studied anecdotally.

The research is exploratory in nature. A questionnaire has been sent to collect primary data through SurveyMonkey. Simple random sampling was used to collect a sample of 450 respondents which was also verified using G* software. The data were analyzed using descriptive statistics and partial least square–structured equation modeling (PLS-SEM).

Findings obtained through the structural model using bootstrapping technique suggest that intrinsic and extrinsic factors are attracting tourists leading to an increase in the demand for real estate in holy cities.

The research findings may vary as per the cultural differences and belief in spirituality, which is subject to perceptual biases in different holy cities.

The traditional determinants of property buying behavior are considered inadequate to attract real estate investments. The inclusion of these behavioral aspects – intrinsic and extrinsic factors may improve the investment inflows in India.

Spirituality connects to the concept of behavioral real estate, where the decision to buy property is largely affected by the emotional attachment of people.

This research adds value to fill the gap by finding out the latent determinant – emotional reasons impacting transnational gentrification in India.