Journal of Management Policy and Practice https://articlegateway.com/index.php/JMPP <p>The aim of the <strong>Journal of Management Policy and Practice (JMPP)</strong> is to publish research that conceptualizes, tests, or extends management theory. It is also the aim of JMPP for all research to have an end benefit to practitioners and policy makers. All empirical methods-including, but not limited to, qualitative, quantitative, field, laboratory, meta-analytic, and combination methods-are welcome. Accepted manuscripts must make strong empirical and/or theoretical contributions and highlight the significance of those contributions to the management field. JMPP is not tied to any particular discipline, level of analysis, or national context. Authors should strive to be bold but theoretically grounded in their research.</p> <p>The target acceptance bounds of JMPP run between 12% and 18%. All articles go through a double blind review process, and acceptance decisions are made within forty-five days of submission. Authors of unaccepted papers are free to submit their papers to another journal.</p> en-US <p><span class="theme-text-color-1-2">Please review our <a href="http://www.nabpress.com/copyright" target="_blank" rel="noopener"><span class="label">Copyright Notice</span></a>.</span></p> jmpp@nabpress.com (JMPP Editor) Dsmith@americanpublishingservices.com (Articlegateway Admin) Sun, 08 Dec 2024 00:00:00 -0500 OJS 3.3.0.17 http://blogs.law.harvard.edu/tech/rss 60 Assessing Resources Devoted to Electronic Reporting and Automation Among Central Cancer Registries Meeting National Program of Cancer Registries (NPCR) Quality Standards https://articlegateway.com/index.php/JMPP/article/view/7397 <p>The Centers for Disease Control and Prevention (CDC) has emphasized a need for data modernization initiatives (DMIs) to improve the quality and timeliness of cancer surveillance data. To guide such DMI efforts, we need data on the resources required to generate high-quality data. Twenty-one central cancer registries (CCRs) collected data from July 2020 to June 2021. We explored the potential relationship between resources for (1) electronic reporting and automation and (2) the quality of CCR data. We then compared activity-based costs of registries that always (n = 8), sometimes (n = 6), or seldom/never (n = 7) met data quality standards for completeness, timeliness, duplicate rate, and missing values. We found the registries that consistently met data quality standards used more resources on setting up processes to acquire data, training staff, and processing data. Compared to high-quality registries, registries that seldom/never met quality standards spent the most on case finding/data abstraction of non-hospital records. This study provides key findings for resource use, which can guide advancements when implementing electronic reporting and automation to improve CCR operations.</p> Florence K. L. Tangka, Jenny Beizer, Maggie Cole-Beebe, Amarilys Bernacet , Stephen Brown, Paran Pordell, Reda Wilson, Sujha Subramanian Copyright (c) 2024 Journal of Management Policy and Practice https://articlegateway.com/index.php/JMPP/article/view/7397 Sun, 08 Dec 2024 00:00:00 -0500 How Government Organizations Can Sustain Remote Work Post COVID-19 https://articlegateway.com/index.php/JMPP/article/view/7398 <p>Government organizations are unprepared to sustain remote work post-COVID-19. Even though COVID-19 seems to be under control, organizations are still struggling with the aftermath of the pandemic and the need to sustain remote work. Challenges include lack of necessary information technology tools, software, technological skills, strategies for remote work, leadership skills, real-time communication, activity planning and program implementation, scheduling meetings, organizing childcare, managing caseloads, fostering team work, and effective supervision. A conceptual framework based on organizational adaptation theory guided this qualitative case study. Since the study was to ascertain how government organizations can sustain remote work post-COVID-19, semi-structured interviews were used to collect data from 12 government employees in Dallas Texas who worked remotely during COVID-19. Thematic analysis was conducted and. nine themes morphed from the study. The results highlighted the need for employee training and continuous organizational adaptation to the changing business environment.</p> Chikwendu Nweke, Leslie Gilliam, Teresa Lao, Ernesto Escobedo Copyright (c) 2024 Journal of Management Policy and Practice https://articlegateway.com/index.php/JMPP/article/view/7398 Sun, 08 Dec 2024 00:00:00 -0500 Reconfiguring the Kazakhstan Pension System: How Can Canadian and OECD Experience Be Helpful? https://articlegateway.com/index.php/JMPP/article/view/7399 <p>This study examines the current state of Kazakhstan’s public pension system, comparing its performance and asset structure to OECD countries. It highlights structural and regulatory issues within the national pension market that hinder adequate retirement savings for the population. A key concern is the low real rate of return by the national pension fund, potentially jeopardizing its ability to meet future retirement needs amidst rising inflation. The study analyzes the Canadian pension system as a model, showcasing a three-layer structure that fosters diverse sources of pension benefits, ensuring sustainable income for retirees. It recommends considering group (employer-based) and private (individual) registered pension programs, common in developed countries, to generate additional pension income. Supportive legal and tax frameworks are crucial to encourage participation in these programs. Drawing on Canadian and OECD experiences, the study offers suggestions for reconfiguring Kazakhstan’s pension system to enhance its performance and sustainability, ultimately leading to higher pension payouts for future retirees.</p> Almaz Tolymbek , Bakhytgul Utegulova Copyright (c) 2024 Journal of Management Policy and Practice https://articlegateway.com/index.php/JMPP/article/view/7399 Sun, 08 Dec 2024 00:00:00 -0500