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This study seeks to explore digital natives' mobile usage behaviors and, in turn, develop an analytic framework that helps articulate the underlying components of mobile addiction syndrome (MAS), its severity levels and mobile usage purposes.

The investigation adopts a survey method and a case study. The results of the former are based on 411 random classroom observations and 205 questionnaire responses, and the insights of the latter are derived from 24 interviews and daily observations.

The findings validate five distinctive signs that constitute MAS and their significant correlations with each of the Big Five personality traits. Classroom observations confirm the prevalence of addiction tendency among digital natives in the research context. Seven levels of MAS and six different mobile usage purposes further manifest themselves from case analysis. There appears to be a sharp contrast between the addicted and non-addicted groups in their mobile purposes and behavioral patterns. Additionally, family relationships seem influential in shaping non-addictive mobile usage behaviors.

Psychological perspectives on MAS may be important but insufficient. Empirical investigation on a global scale, especially with distinctive cross-cultural comparisons, will be highly encouraged. How MAS evolves over time should also serve as future research interests.

Teaching pedagogy of college education might need certain adjustments to intrigue digital natives' learning interests. Future managers might also need to adopt better performance measurements for digital natives who barely separate work from personal matters in their mobile devices.

Parents and healthcare institutions may need to develop response mechanism to tackle this global issue at home and in society. The long-term effects of the COVID-19 pandemic on MAS might also deserve global attention.

The analytic framework developed provides an original mechanism that can be valuable in identifying MAS severity and associated behavioral patterns.

The purpose of this study is to seek answers to how receiving his PhD at the University of Alabama influenced the author’s ongoing academic discourse socialization as an international graduate student coming from Turkey. To that end, the author incorporates second language and academic discourse socialization theories with the concept of “desire” in TESOL.

In this autoethnographic paper, the author discusses his academic discourse socialization as an international graduate student in the form of an evocative autoethnography of socialization. The author uses data gathered through his personal memory in the form of self-reflections. Using Chang’s “chronicling the past strategy” (2008, p. 72), the author prepared a data chart, which included information regarding the data source, its mode, time, venue and stories gleaned. The author used this data chart as a self-generated document to guide him through the selection process of his personal memories in an organized way while writing mystory.

The findings show that his academic discourse socialization was mainly influenced by the attitudes of local US citizens’ and existing members of international communities in both on- and off-campus settings. Over time, his academic discourse socialization turned out to be a complex process where the author oftentimes found himself struggling to find an entry point in extracurricular conversations and interactions.

The author recommends further research to focus on the inner worlds of both old(er) timers and newcomers to understand the challenges, emotions and nuances that are at play in both L2 socialization and academic discourse socialization of international students.

In this autoethnographic study, the author offers a unique example of an international PhD student’s transnational socialization experiences. Future international students, higher education administrators, faculty members and local graduate students may learn from his autoethnography and approach their future academic relationships in a more informed way.

Work–nonwork policies and practices provide support for employee well-being, as well as a competitive advantage that can help differentiate organizations. However, not all work–nonwork policies and practices are effective, utilized, or relevant. In this chapter, the authors introduce “organizational boundary management strategy” as a way to leverage these policies and practices, making them more widely adopted and more effective. Organizational boundary management strategy refers to how an organization as a whole tends to support workers’ work–nonwork boundaries (i.e., via segmentation, integration, or somewhere in between). Although boundary management has historically tended to focus on how individuals navigate distinctions between work and personal life, the authors extend boundary management to the organization to suggest how understanding and aligning the organization’s overall boundary management strategies can support worker well-being. To expound on this, the authors present a model suggesting how organizational boundary management can be used to support worker well-being.

This study aimed to assess the influence of the community-based campaign on weight loss and healthy lifestyle adoption among Bahrain's adult population.

A cross -sectional self-reported online questionnaire completed in February 2021. The survey evaluated the impact of the community-based campaign health program which includes (exercise, diet plan and psychological eating behavior) weight reduction using social media platforms. The authors employed data from young and middle-aged healthy adults (n = 842) between the ages of 18-55 years, of both sexes. The intervention group (n = 842) was made up of the supporters of the voluntary community initiative called Obesity does not Suit Me (n = 194), and the control group (n = 648) was made up of non-followers of the campaign.

The study showed a statistically significant difference among the followers of the community-based campaign health program in the following parameters: 3.90-4.23 kg less, 1.46-1.59 difference in BMI and 0.05-0.06 WHR. All changes were of low effect size.

Diet and exercise had significant impact on weight, BMI and WHR among the followers of the community campaign. However, more research is required for sponsorship to increase the motivation and rewards for the community campaign.

The rapid, yet low-profit, expansion of the production capacity of state-owned enterprises (SOEs) represents a remarkable phenomenon. However, the motivation behind this key operational decision remains underexplored, especially concerning the prioritization of sociopolitical and financial goals in operations management. Drawing on the multiple-goal model in the behavioral theory of the firm (BTOF), the authors' study aims to examine how SOE capacity expansion is driven by performance feedback regarding the sociopolitical goal of employment provision and how SOEs differently prioritize sociopolitical and financial goals based on negative versus positive feedback on the sociopolitical goal.

The authors' study uses panel data on 826 Chinese SOEs in manufacturing industries from 2011 to 2019. The authors employ the fixed-effects model with Driscoll–Kraay standard errors, which are robust to heteroscedasticity, autocorrelation and cross-sectional dependence.

The authors find that SOEs increase capacity expansion as sociopolitical feedback becomes more negative, but they may not increase capacity expansion in response to positive sociopolitical feedback. Moreover, negative profitability feedback strengthens SOEs' capacity expansion in response to negative sociopolitical feedback. In contrast, negative profitability feedback weakens their response to positive sociopolitical feedback.

The authors' study offers a novel behavioral explanation of SOEs' operational decisions regarding capacity expansion. While the literature has traditionally assumed multiple goals as either hierarchical or compatible, the authors extend the BTOF's multiple-goal model to illuminate when firms pursue sociopolitical and financial goals as compatible (i.e. the activation rule) versus hierarchical (i.e. the sequential rule), thereby reconciling their tension in distinct performance situations. Practically, the authors provide fine-grained insights into how operations managers can prioritize multiple goals when making operational decisions. The authors' study also shows how policymakers can influence SOE operations to pursue sociopolitical goals for public benefit.

This paper's purpose was to examine the impact of geomagnetic activity (GMA) on the timing and valuation of earnings information disclosed by firms every quarter.

The authors start the analyses with a sample of 112,669 client firms from 1989 to 2018. To analyze the impact of GMA on the earnings response coefficient (ERC), the authors use the three-day cumulative abnormal returns and cumulative abnormal returns for the extended post-earnings announcement window [2, 75] as the dependent variables. The authors interact unexpected earnings (UE) with the C9 Index, an index commonly used to measure GMA and study how GMA affects the pricing of new public information. To examine the effect of GMA on the timing of disclosure of earnings news, the authors regress a variant of the GMA index on the propensity to disclose bad earnings news.

The authors find significantly lower earnings response coefficients during periods of high GMA. This effect is permanent and stock prices do not correctly incorporate the implications of earnings information over time. The authors also show that managerial behavior is affected by GMA as well and the managers are more (less) likely to release bad (good) news during periods of higher activity. Finally, the authors also find that in situations where stakeholders are likely to rely on modern technology that depends minimally on humans, the adverse impact of GMA on the pricing of earnings information is mitigated.

The literature on the effect of GMA on the capital market is very limited and focuses primarily on stock returns, while the behavioral finance literature focuses on circumstances like weather, temperature and sporting outcome to study how the investors' mood affects their capital market behavior. The authors add to both the literature by investigating how GMA influences investors' and managers' behaviors in the capital market.

In this chapter, we present a collaborative autoethnographic study with two main layers: first, we share experiences of two separate educational research projects and explore how different dialogic research practices facilitate both participants and researchers to discover the phenomenon being studied; second, we engage in a dialogic conversation to discover our own research practices. Focussing on projects in two different countries (Norway and Canada), our initial centring question for this chapter is: how do our research practices facilitate insight into participants’ real-life experiences and practices? Then turning the light on our own research practices, we ask: what onto-epistemological assumptions shape our dialogical research practices? The chapter reveals that dialogic research practices allowed collective wisdom to be discovered and ensured that we were able to break through the taken-for-grantedness both of the concept being studied and of our own research practices.

Advances in Econometrics is a series of research volumes first published in 1982 by JAI Press. The authors present an update to the history of the Advances in Econometrics series. The initial history, published in 2012 for the 30th Anniversary Volume, describes key events in the history of the series and provides information about key authors and contributors to Advances in Econometrics. The authors update the original history and discuss significant changes that have occurred since 2012. These changes include the addition of five new Senior Co-Editors, seven new AIE Fellows, an expansion of the AIE conferences throughout the United States and abroad, and the increase in the number of citations for the series from 7,473 in 2012 to over 25,000 by 2022.

The theoretical basis for the case is information asymmetry and signaling theory, with buybacks providing a mechanism for reducing information asymmetry between management and investors. The controversy surrounding buybacks has led to political and regulatory scrutiny, which, consistent with evidence from academic research, may affect corporate behavior.

The compact case is based on secondary, public information about stock buybacks. All sources used are cited in-text, with full citations included in the references section at the end of the teaching note.

Stock buybacks, a means of providing returns to shareholders, have recently received increased scrutiny by politicians, media and shareholder activists. Proponents have argued that buybacks result in efficient allocation of capital by returning funds to shareholders, whereas opponents have criticized buybacks for enriching executives, providing tax advantages to shareholders and contributing to income inequality. Corporations did not curtail their use of buybacks after the Inflation Reduction Act of 2022 imposed an excise tax. The case frames the buyback debate in current events and focuses on the buyback activity of Apple. The case provides students the opportunity to analyze alternative ways that companies can provide returns to shareholders, evaluate impacts of buybacks on corporate stakeholders and appraise the reasons for, and implications of, current controversy regarding buybacks.

This compact case is appropriate for upper-level undergraduate or graduate courses in financial accounting, tax and finance. This case provides an opportunity to analyze and evaluate stock buyback decisions in the context of the current controversy related to buybacks.