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The purpose of this paper is to address the barriers to the rapid development of effective HR analytics capabilities in organizations.

Literature and conceptual review of the current state of HR analytics.

“HR analytics” is used to refer to a too-wide array of measurement and analytical approaches, making strategic focus difficult. There is a misconception that doing more measurement of HR activities and human capital will necessarily lead to actionable insights. There is too much focus on incremental improvement of existing HR processes, detracting from diagnosing the problems with business performance. Too much time is spent on mining existing data, to the detriment of model building and testing, including collecting new more appropriate data. Too much energy is consumed with basic tasks of data management. Stakeholders avoid action by nitpicking the details of the data.

Practitioners who follow the guidance provided should find that their application of HR analytics leads to more relevant and actionable insights.

More effective application of HR analytics should lead to better decision making in organizations and more effective resource allocation.

A new look at the field of HR analytics that synthesizes the research literature and current practice in organizations.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Greater focus is the key to better HR analytics. The authors summarize their six recommendations that will ensure the efficiency and effectiveness of HR analytics.

The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Delirious mania is an understudied psychiatric disorder with a mortality rate as high as 75%. Previous case studies suggest that electroconvulsive therapy (ECT) may be an effective treatment for delirious mania, though this procedure may not always be a viable option. We describe the case of a 20-year old patient, with no previous psychiatric history, who developed delirious mania over the course of four months. ECT was not a viable option for this patient due to his religious beliefs, so alternative treatment modalities were explored. After failing trials of risperidone and olanzapine, significant improvements in symptoms were exhibited with a trial of clozapine. We propose that clozapine may be an effective option in cases of delirious mania, when ECT is not a viable option. Additional research is still necessary to understand the pathology of this condition and potential treatment modalities.

It is proposed to examine how these two different models of human relations – that of Winnicott and Serres – illuminate features of contemporary organizational life. With these models, one can view recent scandals in the USA, specifically the implosion of the energy firm, Enron. Previous accounts of Enron emphasize the manipulations of income and accounting irregularities; however, it is suggested that the accounting manipulations illuminate features of human relations within and outside the economic firm. As a case study, Enron provides a good example of how the object theories of Winnicott and Serres illuminate aspects of behavior in our contemporary organizations and address problems of postmodernity. Andrew Fastow, former CFO of Enron, is the postmodern subject with pathological splitting behavior. Enron is the playground where Fastow played with quasi‐objects among other postmodern subjects. Enron is also the site where the circulation of quasi‐objects in the form of SPEs suddenly ceased.

Prevalence rates of older adults (OA, 50+) with high-risk alcohol use are rapidly growing. Barriers to intervention persist for OA. Mobile interventions, specifically short message service (SMS, also known as text messaging), provide an opportunity to overcome such barriers. The purpose of this paper is to explore the acceptability and preliminary effectiveness of four SMS intervention conditions compared to mobile assessment only among OA (50–65 years old, n = 49) who drink at high-risk levels compared to younger adults (YA, 21–49 years old, n = 102).

Within and between age group differences at baseline and end-of-treatment (12 weeks) were explored. Generalized linear modeling was used to test age by receipt of any SMS intervention (compared to assessment only) effects across health outcomes. Effect sizes and visual analyses were generated to assess for age by type of SMS interactions.

Both age groups reported intervention satisfaction. Two-thirds elected to continue receiving SMSs after treatment concluded. Descriptively, SMS groups demonstrated reduced drinking across age groups at end-of-treatment compared to mobile assessment only, though slightly larger effects were found for YA than for OA. Age significantly moderated the receipt of any SMS intervention only for depression (i.e., older age weakened the therapeutic effect). Of all the SMS types, tailored messages outperformed the other conditions on drinking outcomes for both age groups. Depression, craving and alcohol problems responded to gain-framed messages among OA and loss-framed messages among YA.

The findings of this paper suggest that SMS is acceptable and potentially effective across age groups. Further adaptation of SMS across age groups could enhance its effectiveness.

This is the first paper to explore the impact of older age on the efficacy of text messaging as an intervention for hazardous alcohol use.

The purpose of this paper is to describe the policy and trends in rural education in China over the past 40 years; and also discuss a number of challenges that are faced by China’s rural school system.

The authors use secondary data on policies and trends over the past 40 years for preschool, primary/junior high school, and high school.

The trends over the past 40 years in all areas of rural schooling have been continually upward and strong. While only a low share of rural children attended preschool in the 1980s, by 2014 more than 90 percent of rural children were attending. The biggest achievement in compulsory education is that the rise in the number of primary students that finish grade 6 and matriculate to junior high school. There also was a steep rise of those going to and completing high school. While the successes in upscaling rural education are absolutely unprecedented, there are still challenges.

This is descriptive analysis and there is not causal link established between policies and rural schooling outcomes.

The authors illustrate one of the most rapid rises of rural education in history and match the achievements up with the policy efforts of the government. The authors also explore policy priorities that will be needed in the coming years to raise the quality of schooling.

This is the first paper that documents both the policies and the empirical trends of the success that China has created in building rural education from preschool to high school during the first 40 years of reform (1978-2018). The paper also documents – drawing on the literature and the own research – the achievements and challenges that China still face in the coming years, including issues of gender, urbanization, early childhood education and health and nutrition of students.

This study aims to examine the “external effect” of a migrated star player on their domestic sport industries. By exploring the new aspect of star power, this study provides important insight and critical implication to many relevant stakeholders in the professional sports league. Particularly, this is critical under the recent circumstance where the globalization of sports products becomes the central strategic issue of the world-class leagues.

In this paper, the external effect of star players migrated from three Asian leagues (Japan, Korea and Taiwan) to Major League Baseball in the USA, the world-class baseball league, on their domestic league attendance demand was empirically investigated. For the analysis, comprehensive historical data from various reliable sources from each league were collected.

The findings of the paper strongly support the external effect of migrated stars significantly existing in all the three leagues. The effect is consistent across various measurements of migrated star players. More interestingly, the effect was found to be mixed across different leagues; for example, migrated star players increases in domestic league attendance in Japan, while it decreases in Korea and Taiwan. This indicates that the external effect of migrated star players depends on the characteristics of the domestic leagues. In addition, it was found that the external effect was substantial enough to compare to the effect of major demand drivers such as team winning, competitive balance and star power. For managerial implications, this study also provides revenue projections induced by the impact of migrated star players.

This study opens a new chapter related to star power topic and immediately calls for future studies regarding this external effect, particularly, theoretical and behavioral approaches.

The purpose of this paper is to examine how knowledge inflows and outflows interact to affect performance outcomes. Though previous studies have dealt with knowledge inflows and outflows, the quality and quantity characteristics of knowledge are often not taken into account, thus leaving a research gap with regards to the effect of their interactions on performance outcomes.

Based on Poisson regression analysis, this quantitative study fills the aforementioned research gaps by analyzing the ambidextrous configurations of knowledge flows from an ambidexterity perspective and examines their effects on two-phase performance (i.e. regular season and playoffs), using a longitudinal data set of National Basketball Association transactions from the 2003-2004 to 2014-2015 season.

The results suggest that the complementarity between knowledge inflows and outflows along the quality and quantity dimensions of knowledge, respectively, has a positive impact on two-phase performance, while the imbalance between knowledge inflows and outflows under the quality and quantity dimensions of knowledge, respectively, has a negative impact on playoffs performance (Phase 2). These findings suggest that organizations can balance knowledge inflows and outflows under a single quality or quantity dimension of knowledge. Furthermore, the interaction between the quantity of the inflows of knowledge and the quality of the outflows of knowledge and the interaction between the quality of the inflows of knowledge and the quantity of the outflows of knowledge are both positively related to two-phase performance. These findings suggest that organizations can balance knowledge inflows and outflows across quality and quantity dimensions of knowledge. Finally, the effects of the interaction between knowledge inflows and outflows on playoffs performance are greater than regular-season.

Organizations should leverage ambidexterity to manage/balance knowledge inflows and outflows across quality and quantity dimensions, further enhancing performance outcomes.

This study, first, provides new insights into knowledge flows by distinguishing between the quality and quantity of knowledge, the inflows and outflows of knowledge, constructing ambidextrous configurations of knowledge flows from an ambidexterity perspective. Second, it contributes to the relationship between knowledge flows and organizational performance by revealing how ambidextrous configurations of knowledge flows exert different effects on performance outcomes. Third, it adds to the literature of ambidexterity-performance relationships and expands it to the context of sports.

Building on network theory, this study aims to examine how network resources and network knowledge utilization influence mobility within networks of knowledge workers. Specifically, it examines how the availability of resources in a network and knowledge utilization, in a period impacts the structure of the focal network in the following period.

The study uses data from the National Basketball Association to depict the mobility of knowledge workers in a network. Because of the nature of the dependent variable, the study used a conditional fixed-effects quasi-maximum-likelihood Poisson regression as an analytical methodology.

The study finds that network resources are partially significant in predicting knowledge workers’ mobility and that knowledge utilization of networks of knowledge workers in one period negatively affects networks’ structure in the following period.

The study advances our understanding of the knowledge workers’ mobility phenomenon by examining network-level factors that influence the mobility of knowledge workers. It addresses the issue from a different theoretical perspective that is rarely used in studies of knowledge workers, which mostly draw from the traditional human resource literature. Additionally, it contributes to the emerging literature of network dynamics by studying factors that affect network changes. The study also responds to the calls that advocate using sports data to examine organizational phenomena.

Looking at the limits of artificial intelligence (AI) and controlling based on complexity and system-theoretical deliberations, the authors aimed to derive a future outlook of the possible applications and provide insights into a future complementary of human–machine information processing. Derived from these examples, the authors propose a research agenda in five areas to further the field.

This article is conceptual in its nature, yet a theoretically informed semi-systematic literature review from various disciplines together with empirically validated future research questions provides the background of the overall narration.

AI is found to be severely limited in its application to controlling and is discussed from the perspectives of complexity and cybernetics. A total of three such limits, namely the Bremermann limit, the problems with a partial detectability and controllability of complex systems and the inherent biases in the complementarity of human and machine information processing, are presented as salient and representative examples. The authors then go on and carefully illustrate how a human–machine collaboration could look like depending on the specifics of the task and the environment. With this, the authors propose different angles on future research that could revolutionise the application of AI in accounting leadership.

Future research on the value promises of AI in controlling needs to take into account physical and computational effects and may embrace a complexity lens.

AI may have severe limits in its application for accounting and controlling because of the vast amount of information in complex systems.

The research agenda consists of five areas that are derived from the previous discussion. These areas are as follows: organisational transformation, human–machine collaboration, regulation, technological innovation and ethical considerations. For each of these areas, the research questions, potential theoretical underpinnings as well as methodological considerations are provided.