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Educational data mining (EDM) discovers significant patterns from educational data and thus can help understand the relations between learners and their educational settings. However, most previous data mining techniques focus on prediction of learning performance of learners without integrating learning patterns identification techniques.

This study proposes a new framework for identifying learning patterns and predicting learning performance. Two modules, the learning patterns identification module and the deep learning prediction models (DNN), are integrated into this framework to identify the difference of learning performance and predicting learning performance from profiles of students.

Experimental results from survey data indicate that the proposed identifying learning patterns module could facilitate identifying valuable difference (change) patterns from student’s profiles. The proposed learning performance prediction module which adapts DNN also performs better than traditional machine techniques in prediction performance metrics.

To our best knowledge, the framework is the only educational system in the literature for identifying learning patterns and predicting learning performance.

This paper studies the relationship between CEO pay-performance sensitivity and CEO pay for luck as well as the asymmetric benchmarking of CEO pay in which good luck is rewarded but bad luck is not penalized symmetrically. We further explore the impact of the regulatory changes on executive compensation taking effect in the 2000s on CEO pay for luck and asymmetry.

In this study, we examine the relationship between CEO pay-performance sensitivity and CEO pay for luck and the asymmetric benchmarking of CEO compensation. The sample consists of DJIA component companies over a 71-year period from 1950 to 2020. CEO pay-performance sensitivity is measured by both delta and Jensen-Murphy pay-performance sensitivity.

We find that an increase in CEO pay-performance sensitivity as measured by both delta and Jensen-Murphy pay-performance sensitivity leads to an increase in the degree of CEO pay for luck but tends to reduce the level of CEO pay for luck asymmetry. In addition, we find that the major pay-related regulatory changes in recent years have mitigated the degree of CEO pay for luck and pay asymmetry, in which CEO pay structure and the associated CEO pay-performance sensitivity are major mechanisms through which the regulatory changes take effect.

Our findings provide empirical evidence supporting the argument that both optimal contracting and rent extraction should be considered as important determinants of CEO compensation.

When a firm designs the pay packages for its CEO to align CEO wealth to firm performance, CEO pay-performance sensitivity is expected to improve. However, the improved CEO PPS can also lead to an increased CEO pay for non-performance (Luck), which is an undesired outcome from the shareholder view. Therefore, a firm should thoroughly consider various advantages and disadvantages when compensating its top executives. Third, pay-related regulations have indeed achieved some intended outcomes such as the diminished pay for luck and asymmetry, but they also exacerbated the positive relationship between CEO pay-performance sensitivity and the asymmetric benchmarking of CEO pay. It seems that executive pay-related regulations cannot achieve perfect outcomes without side effects. Continuous reforms and regulations on corporate governance should be a dynamic process under various changing situations.

This study contributes to the literature on executive pay for luck and asymmetry in several ways. First, our study is among the few studies empirically testing the relationship between CEO pay-performance sensitivity and pay for luck and asymmetry. We find that CEO pay-performance sensitivity tends to increase the degree of CEO pay for luck but reduce the level of asymmetric benchmarking of CEO pay. These findings partly support the rent extraction theory grounded on the managerial power hypothesis and partly support the optimal contracting theory. Our findings confirm that the optimal contracting theory and the rent extraction theory are both important for explaining the practices and historical trends of CEO compensation.

This paper aims to investigate the effect of governance mechanisms and firm performance on chief executive officer (CEO) compensation in relation to the Jordanian business environment. This study also examines the moderating role of gender diversity.

The sample is drawn from the annual reports of 68 Jordanian firms between 2015 and 2019. This paper uses the ordinary least square regression. It also uses the generalised method of moments approach to control any endogeneity issue and analyses the data in depth. In addition, it uses a dynamic model to address concerns regarding causality in the study’s models.

The results show that governance mechanisms and firm performance have an impact on CEO compensation. Furthermore, the outcomes indicate that gender diversity significantly and positively moderates the association between firm performance and CEO compensation. These findings enhance and support agency theory in the context of Jordan.

The study’s results have significant implications for policymakers, shareholders, investors, academicians and the public in the developing Jordanian market. The findings also support more monitoring and inspection to prevent the occurrence of opportunistic management behaviour and ensure that CEO remuneration packages are appropriately designed.

This study provides a unique understanding by explaining the impact of governance and performance on CEO compensation in a developing country such as Jordan. Besides that, the current study extends prior studies in Jordan significantly.

This paper aims to explore the realm of gig work and the gig economy in Romania in an attempt to shed light on the mechanisms of this type of work and the reasons and benefits of engaging in gig-related activities.Considering the low conceptual consensus on gig work, the authors aim to explore how participants in this study define and refer to gig work, thus helping to contribute to the current conceptualization and characterizations of gig work and the gig economy. Among the wide range of services encountered within the gig economy, this research focuses on three categories of tasks, as defined within COLLEEM 2018 questionnaire (see Pesole et al., 2018), namely, online creative and multimedia work, online sales and marketing support and online software development and technology work.

Based on semistructured interviews with people working in the gig economy in Romania, the authors look to understand the meaning given to gig work and its features. The authors tackle how participants in this study perceive themselves and their work. The authors also look into perceived similarities and differences with other types of independent work.

In this paper, findings are organized into two main sections. The first section showcases perceptions about working in the gig economy, including how people involved with this type of work are describing them and their activity and exploring financial insecurities in connection with the independent/gig work. The second section highlights the mechanisms of gig work on digital labor platforms, developing means and ways of reputation-building and their impact on financial earnings.

This research aims to contribute to a better understanding of the environment and needs of gig workers. Although gig economy and online work are widely covered by field literature, knowledge about the experiences and perceptions of gig workers in emerging markets has more to gain by exploring European Union developing markets.

Bangladesh recently experienced frequent demonstrations by drivers of ridesharing applications. Since the drivers are not excluded from the technology environment, rather they are a part of the digital ecosystem, these protests may point toward the existence of unequal interactional outcomes for different stakeholders afforded by the digital system within the country’s social and cultural contexts. This research is an attempt to unveil the reasons behind value inequality experienced by drivers of ridesharing applications in Bangladesh and understand how power asymmetries influence adverse digital incorporation that can result in the emergence of resistance.

We obtain the data by conducting interviews with 91 drivers of ridesharing platforms in Dhaka, Bangladesh and analyze our data using thematic analysis. We propose an integrated framework unifying adverse digital incorporation (ADI) with the “powercube” model to illuminate our inquiry.

We find the existence of all three drivers to ADI – ignorance/deceit, direct compulsion and exclusion – exclusion being the most prevalent – that are experienced by the drivers of ridesharing applications in Bangladesh. We also find support for the four causes behind value inequality – design inequality, resource inequality, institutional inequality and relational inequality with the respondents placing the highest emphasis on relational inequality. There are visible, hidden and invisible forms of power involved in how the drivers are incorporated into the ridesharing platforms. The forms of power in the platform environment are exercised primarily in closed spaces and the invited spaces for the drivers are very few. The drivers in response to the closed spaces of power create their own space (claimed space) through the help of social media and other messaging apps. We also find that the power over the drivers is exercised at global, national and local levels.

Our research identifies norms specific to the social and cultural contexts of Bangladesh and can help decision-makers to make more informed choices during the formulation of future digital platform guidelines. Based on the research findings, the paper also makes short-term and long-term policy recommendations.

This research has implications for creating a decent work environment for ridesharing drivers which broadly falls under the Sustainable Development Goal 8 (SDG 8).

To the best of the authors’ knowledge, this is the first paper that integrates the ADI model with the “powercube” framework to reveal that the drivers working on the ridesharing platforms in Bangladesh are adversely incorporated into the digital system where value inequalities are operating within the power dimensions.

This study departed from the aim to progress Malaysia as a high-income nation in 2025 via decent work and economic growth (Sustainable Development Goal 8). Thus, this study aims to examine the effects of demographic, experience and organisational factors on the ethical integrity of local enforcement officers from self-proclaim and colleague perception perspectives.

The data of this study was collected from Pusat Latihan Penguatkuasa Selangor (PULAPES), a training centre for local enforcement officers in Selangor. Based on a survey in 2019, this study used primary data based on a scenario-based questionnaire survey with a total sample of 535 respondents.

From a self-proclaim perspective, the results show that secondment and training factors have a positive relationship with the ethical integrity of local enforcement officers. From a colleague perception perspective, the results indicate that the secondment factor has a positive relationship with ethical integrity. In contrast, the officer rank factor has a negative relationship with the ethical integrity of local enforcement officers.

This research seeks to develop new theories or refine existing ones to explain how diverse circumstances affect law enforcement ethics. Learning people’s habits through observation and consequences like rewards or punishments impact behaviour recurrence are suggested. Law enforcement ethics can be examined by examining how peers, supervisors and organisational culture shape officers’ ethics.

The finding of this study could serve to evaluate training programmes or rewards and punishments for ethical behaviour including how accountability and community involvement aid to promote law enforcement ethics.

The survey results of this study are based on local enforcement officers’ ethics that serve to aid in illuminating the elements which affect ethical behaviour among law enforcement personnel and identify the tactics for fostering ethical behaviour.

Low-income consumers’ perceptions of access and inclusion in financial services, remain underresearched. To fill this gap, the purpose of this study, is to investigate elements of low-income consumers’ informal and formal financial service experiences, from their personal experience.

Mixed methods using data collected from low-income consumers in Latin America, reveal a spectrum of consumer perceptions making up access, inclusion and social dependence within financial service experiences. Scales, grounded in the consumer experience, are developed, validated and used to test a model of consumers’ service inclusivity perceptions.

Service costs, information and documentation difficulty, convenience and social dynamics influence low-income consumers’ perceptions of financial service inclusivity.

Analysis reveals differentiation in the impact of aspects of low-income consumers’ experiences between formal and informal financial services. Working directly with this unique population exposes the nuance of their financial service experiences.

This research provides a more holistic perspective on low-income consumers’ financial service experience and provides contextually relevant scales with robust psychometric properties. Services marketers can use this research to inform design and evaluation of financial service offerings for low-income consumers.

This research contributes to study of the wellbeing of low-income consumers by providing understanding of their financial service experiences from their point-of-view and providing contextually-relevant, empirically validated tools for future inquiry.

This study aims to conduct a comprehensive analysis of poverty salaries and minimum wage in light of virtue ethics and a new natural law perspective on work.

Existing approaches to poverty wages are critically examined, including the nonworseness claim and legal minimalism. This paper introduces a more nuanced framework, taking into account the concepts of merit and participation in light of virtue ethics.

We argue that the fairness of minimum wage policies can be assessed as a matter of contributive-distributive justice by considering individual contributions to an organization's outcomes within an approach that provides a robust foundation for reconciling the dignity of work with the operational realities of organizations.

Empirical research is needed to validate the practical application of the proposed conceptual framework for addressing poverty wages.

The paper provides better decisional arguments for employers concerned with poverty salaries in their organizations considering the moral dimensions of wage policies and employee well-being, offering guidance for potential adjustments in compensation practices. It also contributes to the discourse on social and economic justice by emphasizing the moral obligations of organizations in fostering a just and dignified work environment without the employee's participation.

This paper presents a novel approach that blends virtue ethics and new natural law principles, emphasizing the moral responsibilities of employers and organizations in addressing the conditions of the working poor. It also highlights the potential for a “lesser evil” situation, morally acceptable when it serves as a transitional phase aimed at improving working conditions and employee well-being.

This study aims to examine the effect of CEO compensation risk, as measured by the proportion of equity-based pay (option and stock awards) relative to total compensation and pay sensitivity to stock volatility, on CEO pay for luck asymmetry. This paper also empirically examines CEO compensation risk as a mediating variable between the regulatory changes and CEO pay for luck asymmetry.

This paper test the proposed two hypothesis that CEO compensation risk is positively associated with the degree of CEO pay for luck asymmetry; and the pay related regulations implemented around 2006 could mitigate the degree of CEO pay for luck asymmetry using the fixed-effects regression models.

Consistent with the managerial talent retention hypothesis, this paper finds that CEO compensation risk, as measured by the equity-based pay as a proportion of CEO total compensation and CEO pay sensitivity to stock volatility, is positively associated with the degree of CEO pay for luck asymmetry. In addition, this paper find that CEO pay for luck asymmetry is significantly reduced by the major regulatory changes on executive compensation implemented around 2006.

This study is among the very few studies exploring the impact of CEO compensation risk on pay for luck asymmetry in the literature. While the major purpose of the widely used stock options is to align executive interests and shareholder values, it also tends to increase the risk level of CEO compensation. So, a well-designed CEO pay package should protect risk-averse CEOs from bad luck for the retention purpose, which is also beneficial to shareholder wealth maximization. Therefore, future research on executive compensation needs to examine the issue from various perspectives.

For board of directors who is responsible for the compensation of CEOs, it is necessary to consider a broad range of factors when designing an optimal CEO pay package.

The findings on the impact of regulations on CEO pay for luck asymmetry suggest that the executive-pay-related regulations around 2006 have indeed achieved some of their intended goals to significantly lower pay for nonperformance asymmetry, whereby CEO pay sensitivity to stock volatility has been identified as a major mediating variable.

This study contributes to the literature on executive pay for luck asymmetry in several perspectives. First, this paper finds that CEO compensation risk has a positive impact on the degree of CEO pay for luck asymmetry. Second, this paper finds that the CEO pay for luck asymmetry has been mitigated after 2006 when various regulatory changes on executive compensation began to be implemented in the USA. To the best of the authors’ knowledge, this study is among the very few studies investigating these issues in the literature.

The study aims to examine the dividend omissions and dividend cuts behaviour of manufacturing and non-financial services firms to identify the determinants of dividend omissions and dividend cuts.

The study analyses the financial data of 3,546 firms from 2011 to 2020 (35,460 firm-year observations) using a dynamic random-effect probit panel regression model.

The results suggest that profitability, growth opportunity, leverage, liquidity, risk, extraordinary income, shareholding pattern and buyback are major determinants of dividend omissions. Similarly, dividend cut in the previous year, profitability, operating cash flow, risk and extraordinary income are major factors leading to dividend cuts.

Firms which omit the dividend are less likely to start paying dividend in subsequent years, whereas firms which cut the dividend may increase dividend in later years. Also, profitability decreases for a significant number of firms post dividend omission and cut. This indicates that dividend omission is a more prominent signal than a dividend cut for the financial health of a firm.

The determinants identified in the study enable analysts and portfolio managers to decide the propensity of dividend omission and cut even before actual announcements and can alleviate the significant loss in the portfolio. Also, managers and the board of directors would be able to monitor the firm’s financial performance to avoid the situation leading to dividend omissions and cuts.

The study strongly recommends that firms should voluntarily pay dividends to shareholders to encourage the healthy participation of retail shareholders in the equity market and create a long-term win–win situation for all stakeholders in society. If a large number of firms continue not to pay the dividend, the study appeals to the regulators to intervene to protect shareholders' interests for the greater good of society.

To the best of author’s knowledge, this is the first study to empirically identify the determinants of dividend omission and cut in the unique setting like India where dividend taxation had undergone a significant change.