Joshua L. McDonald, Edward D. White, Raymond R. Hill and Christian Pardo
The purpose of this paper is to demonstrate an improved method for forecasting the US Army recruiting.
Abstract
Purpose
The purpose of this paper is to demonstrate an improved method for forecasting the US Army recruiting.
Design/methodology/approach
Time series methods, regression modeling, principle components and marketing research are included in this paper.
Findings
This paper found the unique ability of multiple statistical methods applied to a forecasting context to consider the effects of inputs that are controlled to some degree by a decision maker.
Research limitations/implications
This work will successfully inform the US Army recruiting leadership on how this improved methodology will improve their recruitment process.
Practical implications
Improved US Army analytical technique for forecasting recruiting goals..
Originality/value
This work culls data from open sources, using a zip-code-based classification method to develop more comprehensive forecasting methods with which US Army recruiting leaders can better establish recruiting goals.
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Thalia Anthony, Juanita Sherwood, Harry Blagg and Kieran Tranter
Edward C. Fletcher, Erik M. Hines, Donna Y. Ford and James L. Moore
The purpose of this study was to examine the learning experiences of high school Black males participating in an academy of engineering that was configured as a magnet school. We…
Abstract
The purpose of this study was to examine the learning experiences of high school Black males participating in an academy of engineering that was configured as a magnet school. We followed a qualitative case study design to explore the experiences of 16 Black male academies of engineering students. We identified three recurring themes from the interviews with the Black male academy of engineering students: Promoting Interests in STEM, Drawing Connections to Core Academic Concepts, and An Affinity for Hands-on Learning through the Engineering Curriculum. The results of our study helped us to better understand how academies provide a platform for Black male students' interest in engineering as a viable college and career pathway.
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Haya Al-Dajani, Nupur Pavan Bang, Rodrigo Basco, Andrea Calabrò, Jeremy Chi Yeung Cheng, Eric Clinton, Joshua J. Daspit, Alfredo De Massis, Allan Discua Cruz, Lucia Garcia-Lorenzo, William B. Gartner, Olivier Germain, Silvia Gherardi, Jenny Helin, Miguel Imas, Sarah Jack, Maura McAdam, Miruna Radu-Lefebvre, Paola Rovelli, Malin Tillmar, Mariateresa Torchia, Karen Verduijn and Friederike Welter
This conceptual, multi-voiced paper aims to collectively explore and theorize family entrepreneuring, which is a research stream dedicated to investigating the emergence and…
Abstract
Purpose
This conceptual, multi-voiced paper aims to collectively explore and theorize family entrepreneuring, which is a research stream dedicated to investigating the emergence and becoming of entrepreneurial phenomena in business families and family firms.
Design/methodology/approach
Because of the novelty of this research stream, the authors asked 20 scholars in entrepreneurship and family business to reflect on topics, methods and issues that should be addressed to move this field forward.
Findings
Authors highlight key challenges and point to new research directions for understanding family entrepreneuring in relation to issues such as agency, processualism and context.
Originality/value
This study offers a compilation of multiple perspectives and leverage recent developments in the fields of entrepreneurship and family business to advance research on family entrepreneuring.
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Ayodeji E. Oke, Seyi S. Stephen and Clinton O. Aigbavboa
Anne Bowers, Joshua Wu, Stuart Lustig and Douglas Nemecek
Loneliness is known to adversely impact employee health, performance and affective commitment. This study involves a quantitative cross-sectional analysis of online survey data…
Abstract
Purpose
Loneliness is known to adversely impact employee health, performance and affective commitment. This study involves a quantitative cross-sectional analysis of online survey data reported by adults employed in the United States (n = 5,927) to explore how loneliness and other related factors may influence avoidable absenteeism and turnover intention.
Design/methodology/approach
Worker loneliness was assessed using the UCLA Loneliness Scale (Version 3). Composite variables were constructed as proxy measures of worker job and personal resources. Structural equation modeling (SEM) was used to examine independent variable effects on dependent outcomes of (a) work days missed in the last month due to stress (stress-related absenteeism) and (b) likelihood to quit within the next year (turnover intention).
Findings
The job resources of social companionship, work-life balance and satisfaction with communication had significant negative relationships to loneliness in the SEM, as did the personal resources of resilience and less perceived alienation. Results further show lonely workers have significantly greater stress-related absenteeism (p = 0.000) and higher turnover intention ratings (p = 0.000) compared to workers who are not lonely. Respondent demographics (age, race and gender) and other occupational characteristics also produced significant outcomes.
Practical implications
Study findings underscore the importance of proactively addressing loneliness among workers and facilitating job and personal resource development as an employee engagement and retention strategy.
Originality/value
Loneliness substantially contributes to worker job withdrawal and has negative implications for organizational effectiveness and costs.
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Nikhil Kumar Kanodia, Dipti Ranjan Mohapatra and Pratap Ranjan Jena
Economic literature highlights both positive and negative impact of FDI on economic growth. The purpose of this study is to confirm the relationship between various economic…
Abstract
Purpose
Economic literature highlights both positive and negative impact of FDI on economic growth. The purpose of this study is to confirm the relationship between various economic factors and FDI equity inflows and find out deviations, if any. This is investigated using standard time-series econometric models. The long and short run relationship is inquired with respect to market size, inflation rate, level of infrastructure, domestic investment and openness to trade. The choice of variables for Indian economy is purely based on empirical observations obtained from scientific literature review.
Design/methodology/approach
The study involves application of autoregressive distributive lag (ARDL) model to investigate the relationship. The long run co-integration between FDI and economic growth is tested by Pesaran ARDL model. The stationarity of data is tested by augmented Dickey Fuller test and Phillip–Perron unit root test. Error correction model is applied to study the short run relationship using Johansen’s vector error correction model method besides other tests.
Findings
The results show that the domestic investment, inflation rate, level of infrastructure and trade openness influence inward FDI flows. These factors have both long and short-term relationship with FDI inflows. However, market size is insignificant in influencing the foreign investments inflows. There lies an inverse relation between FDI and inflation rate.
Originality/value
To the best of the authors’ knowledge, the study is original. The methodology and interpretation of results are distinct and different from other similar studies.