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As ethical leadership has advanced as a construct, the degree to which healthy relational systems explain its effect on employee outcomes has been understudied. With this manuscript we conceptualize and test a model based on a Relational Systems approach to ethical leadership and its relationship with conflict and turnover intentions.

Two studies were conducted to test our hypothesized first- and second-stage moderated mediation model. In Study 1, online surveys were completed by 168 working adults across two different time points. Study 2 extended Study 1 by surveying 115 working adults across three time points using the Mechanical Turk platform.

The indirect relationship between ethical leadership and turnover intentions via relationship conflict was conditional based on follower moral identity. The negative influence of ethical leadership on relationship conflict and, in turn, turnover intentions was stronger for followers who had higher moral identities. In addition, our findings suggest that leader holding behaviors strengthen the negative indirect effects of ethical leadership on turnover intentions.

This paper demonstrates the usefulness of a Relational Systems theoretical approach to understanding ethical leadership. Specifically, ethical leaders, through their desire and ability to help employees feel known and not alone at work, are better able to reduce relationship conflict and, in turn, reduce employees' desire to leave the organization.

This study examines how managers' human capital, time spent with employees and employees' human capital can influence employees' career advancement. While research tends to find a positive relationship between human capital and career advancement, less attention is paid the effect of managers' human capital on employee careers. A combination of human capital and social capital theories is used to develop hypotheses.

A five-year sample of American football players selected in the National Football League (NFL) draft is used to test the hypotheses. Archival data for human capital, social capital and career success measures are used, and OLS regression analyses test the hypotheses.

The authors find employees with higher levels of human capital experience greater career advancement. Managers' human capital moderates this relationship and the length of time worked together by the employee–manager dyad. The relationship between employees' human capital and career advancement is strengthened when managers have high levels of human capital.

The results of this study indicate that individuals with higher levels of human capital and social capital have greater career success. When individuals have higher levels of human capital it is important for them to determine how long they should work for a particular manager before advancing in their careers. Individuals with higher levels of human capital may need lees time working for a manager than those with lower levels of human capital before advancing in their careers.

This study contributes to careers and human resource management research by examining the moderating impact that manager human capital and time employees spend with a manager have on the relationship between employee human capital and employee career advancement.

The human capital of a leader and the human capital of the employees who work for the leader can impact the bonus earned by the leader. Little to no research has examined data that includes the maximum potential bonus that could be earned by a leader and the actual bonus earned. This information provides a closer examination of leader performance and the impacts of leader and employee human capital on the bonus earned by the leader.

The authors use a sample of NCAA college football teams and head coaches over two years to test their hypotheses. They measure the human capital of the team and the human capital of the head coach. In addition, the authors assess the percentage earned by the head coach of the maximum potential bonus possible.

The authors find that a coach's human capital and the human capital of their team positively and significantly predict the percentage of the maximum possible bonus earned by the head coach.

The results of this study indicate the importance of leader human capital to a leader's ability to earn more of their maximum potential bonus. Additionally, if a leader is able to surround himself or herself with highly talented employees, it will benefit the leader in terms of the amount of bonus earned.

This study extends previous research to provide a more complete picture of factors that influence a leader's ability to earn more of their maximum possible bonus. The authors’ findings that both the human capital of the leader and the human capital of employees who work for the leader impact the amount of bonus earned by the leader add value to human resource management research. Specifically, when examining factors that impact a leader's bonus earnings, it is important to consider not only characteristics of the leader but also factors apart from the leader, such as the leader's employees.

This paper aims to examine employee-driven innovation (EDI) intertwined with learning, creating a new description combining these two concepts: employee-driven learning and innovation (EDLI). This paper provides insights into the nature of EDLI based on the existing theories and perspectives. It seeks to elaborate EDLI as an ongoing process in and through work.

The paper draws on Jaakkola’s (2020) guidance for structuring a conceptual article. The authors first describe the theoretical starting points related to EDI and then elaborate its relationship with learning at work, with the aim of structuring the key elements involved, drawing on and interpreting existing theory and knowledge.

In summary, advanced here are five premises for describing EDLI at work: (1) EDI and workplace learning are strongly intertwined phenomena, (2) learning in the EDI process occurs simultaneously at the intra-personal and inter-personal levels as a reciprocal process of adaptive and innovative learning, (3) innovations are only manifested in and are relevant to the specific cultural-historical and social context of particular enterprises, (4) the continuity of innovations and learning processes is enabled by participation and (5) triggers from outside the workplace, behind the innovation and the specific consequences (that transcend workplace boundaries) of the innovation anchor aspects of the process outside the workplace or work practice.

The paper advances a description and justification of EDLI. As such, it extends, connects and updates previously established theoretical models and explanations of this about EDIs. Based on the premises advanced here, the theoretical and practical contributions are discussed and the research gaps and needs for further research identified.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.