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1 – 10 of over 11000Ifeoma Ajunwa and Daniel Greene
This chapter lays out a research agenda in the sociology of work for a type of data and organizational intermediary: work platforms. As an example, the authors employ a case study…
Abstract
This chapter lays out a research agenda in the sociology of work for a type of data and organizational intermediary: work platforms. As an example, the authors employ a case study of the adoption of automated hiring platforms (AHPs) in which the authors distinguish between promises and existing practices. The authors draw on two main methods to do so: critical discourse analysis and affordance critique. The authors collected and examined a mix of trade, popular press, and corporate archives; 135 texts in total. The analysis reveals that work platforms offer five core affordances to management: (1) structured data fields optimized for capture and portability within organizations; (2) increased legibility of activity qua data captured inside and outside the workplace; (3) information asymmetry between labor and management; (4) an “ecosystem” design that supports the development of limited-use applications for specific domains; and (5) the standardization of managerial techniques between workplaces. These combine to create a managerial frame for workers as fungible human capital, available on demand and easily ported between job tasks and organizations. While outlining the origin of platform studies within media and communication studies, the authors demonstrate the specific tools the sociology of work brings to the study of platforms within the workplace. The authors conclude by suggesting avenues for future sociological research not only on hiring platforms, but also on other work platforms such as those supporting automated scheduling and customer relationship management.
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Bolong He, Snezana Mitrovic-Minic, Len Garis, Pierre Robinson and Tamon Stephen
The Surrey (British Columbia, Canada) fire department has an annual cycle for hiring full-time firefighters. This paper optimizes the timing of the annual hiring period. A key…
Abstract
Purpose
The Surrey (British Columbia, Canada) fire department has an annual cycle for hiring full-time firefighters. This paper optimizes the timing of the annual hiring period. A key issue is handling workplace absences, which can be covered by overtime cost or full-time hires.
Design/methodology/approach
Short-term and long-term absences patterns are analyzed according to season and age cohorts of the firefighters. These are then used in both an explanatory and time series model to predict future absences. The hiring schedule is optimized based on these predictions and additional constraints.
Findings
The current practice fares well in the analysis. For the time period studied, moving to earlier hiring dates appears beneficial. This analysis is robust with respect to various assumptions.
Originality/value
This is a case study where analytic techniques and machine learning are applied to an organizational practice that is not commonly analyzed. In this case, the previous method was not much worse than the optimized solution. The techniques used are quite general and can be applied to various organizational decision problems.
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This study aimed to investigate the sensemaking strategies employed by early-career employees working within organizationally constrained environments.
Abstract
Purpose
This study aimed to investigate the sensemaking strategies employed by early-career employees working within organizationally constrained environments.
Design/methodology/approach
Grounded in the sensemaking-as-accomplishment framework, a longitudinal multi-case study was conducted, involving three early-career employees. These participants were interviewed multiple times concerning tasks they themselves identified as anomalous and ambiguous.
Findings
The study's findings illuminate how early-career employees utilize sensemaking strategies to accomplish anomalous-ambiguous tasks. These strategies are interwoven with deliberate efforts to mitigate organizational constraints that exist in the organization or arise during the execution of complex tasks.
Research limitations/implications
Notable limitation pertains to the time gap between task completion and the interviews. Conducting real-time interviews concurrently with task execution or immediately afterward was not feasible due to constraints in participant availability. This research has implications for organizational learning initiatives, particularly those encompassing employee-driven self-learning components. Insights derived from studies like this can inform the development of effective self-learning schemes within organizations.
Originality/value
Previous sensemaking research focused on what takes place in high-reliability organizations. This study explored sensemaking strategies in workplaces that are organizationally constrained.
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Joseph Blase and Jo Blase
Describes the everyday micropolitical facilitative strategies and personal characteristics of exemplary school principals who have influenced and enhanced teachers’ sense of…
Abstract
Describes the everyday micropolitical facilitative strategies and personal characteristics of exemplary school principals who have influenced and enhanced teachers’ sense of empowerment. The data discussed here were drawn from a qualitative study of teachers in 11 schools affiliated with Glickman’s League of Professional Schools in Georgia. An open‐ended questionnaire designed by the researchers, according to general guidelines for grounded theory inquiry, provided teachers with the opportunity to identify and describe in detail characteristics of principals that enhanced their sense of empowerment. Inductive analyses of the data generated a description of facilitative leadership that includes seven major “facilitative” strategies and one set of facilitative personal characteristics that enhanced teacher empowerment. Focuses on the strategies and characteristics teachers identified as facilitative principal leadership. Discusses findings in terms of the relevant empirical and theoretical literature.
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Michael DiCicco and Shawn A. Faulkner
The paper identifies and explores the perspectives of middle school educators regarding the benefits and challenges of an ongoing, emerging school–university partnership. Over…
Abstract
Purpose
The paper identifies and explores the perspectives of middle school educators regarding the benefits and challenges of an ongoing, emerging school–university partnership. Over five years, professors at one comprehensive, Midwestern university, formed a partnership with a local middle school. While progress has been made to develop the partnership, the authors recognized a lack of shared governance (Essential 7). In particular, they were unsure the partnership was mutually beneficial. The authors interviewed teachers, the principal, assistant principals, guidance counselors, the instructional coach and the youth service center director to gain their perspectives on the partnership.
Design/methodology/approach
The authors used an intrinsic, evaluative case study to examine educators perceptions of the benefits and challenges of the partnership (Guba & Lincoln, 1981; Patton, 2002). This approach was used because within this bounded system the authors have an interest in obtaining information to help improve the program and partnership.
Findings
Results suggest the partnership was beneficial in a number of ways including hiring of and offering fresh ideas to teachers. Educators also felt there were many benefits for university candidates. Challenges included scheduling, technology access and candidate disposition. Implications are discussed.
Research limitations/implications
Inherent within the research methodology, researchers’ inclusion in the data collection process may affect participants responses.
Practical implications
Researchers discuss the implications of this work, including the role of hiring candidates and clear articulation of a mission for the partnership.
Originality/value
This work adds to research on school site stakeholders’ perspectives on the value of school–university partnerships and includes teachers and the schools’ entire leadership team.
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Debadyuti Das and Chirag Yadav
The present work attempts to determine an appropriate number of different categories of Delivery Persons for a Hyper-local Food Delivery Organization for different intervals…
Abstract
Purpose
The present work attempts to determine an appropriate number of different categories of Delivery Persons for a Hyper-local Food Delivery Organization for different intervals within a day and across days within a week which would provide a satisfactory level of service to the target customers and at the same time would become cost-efficient.
Design/methodology/approach
Currently the firm estimates the required number of Delivery Persons for “lunch peak” and “dinner peak” of the next week's weekdays and weekend based on the maximum number of orders occurring during the same period of both weekdays and weekend in the current week. The proposed approach involves determining the projected demand in every four-hourly interval of both week-days and weekend in the next week. Subsequently, the study has developed a simple integer programming model for determining the optimum number of Delivery Persons based on the projected demand data.
Findings
The existing approach followed by the firm indicates that the Delivery Persons remain unutilized during periods of low demand. The proposed model demonstrated savings to the tune of 21.4% in manpower cost without any erosion in the service level.
Originality/value
The study has made three tangible contributions. First, the development of a simple methodology for estimating the demand of next period allows the Managers to utilize dynamic demand data. Second, the development of a simple integer programming model helps managers determine an appropriate number of Delivery Persons in different intervals in both weekdays and weekend. Third, the development of a framework of hiring strategy aids managers in adopting a particular hiring strategy under a particular context keeping in mind the magnitude of demand for food, demand for delivery service and the cost of providing the service.
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Sandra L. Furterer, Kellie Schneider, Michael B. Key, Daniel Zalewski and Michael Laudenberger
The purpose of this study is to improve the utilization of walk-in tutors at the University of Dayton.
Abstract
Purpose
The purpose of this study is to improve the utilization of walk-in tutors at the University of Dayton.
Design/methodology/approach
This paper discusses the application of mixed methods participatory action research with the use of the lean six sigma (LSS) define-measure-analyze-improve-control (DMAIC) methodology combined with discrete event simulation to improve the tutoring processes at the University of Dayton.
Findings
The impact of these improvements provided a great balance between tutor utilization and student wait time, and as a result, an increase in pay was negotiated for tutors. Additionally, two schools within the University, Engineering and Business, have seen the value of the tutoring for their students and have provided additional financial support for tutoring services. Specifically, these schools now have dedicated by-appointment tutors for their students.
Originality/value
Incorporating simulation within the LSS methodology provides a “prototype” simulation of the potential solutions prior to changing the process in the real world. This approach can minimize the risk of implementing solutions that are costly or ineffective. The improvement of increased tutor pay helped to demonstrate the university’s commitment to tutors and tutoring. Through continuous improvement efforts, the tutoring department has tripled the number of courses that they support through these enhanced relationships, improved utilization and the overall culture and work environment. The LSS methodology and tools combined with discrete event simulation can be used as a guide for improving other repetitive processes within the university.
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Knight's Industrial Law Reports goes into a new style and format as Managerial Law This issue of KILR is restyled Managerial Law and it now appears on a continuous updating basis…
Abstract
Knight's Industrial Law Reports goes into a new style and format as Managerial Law This issue of KILR is restyled Managerial Law and it now appears on a continuous updating basis rather than as a monthly routine affair.
Jiahao Liu, Tao Gu and Zhixue Liao
The purpose of this paper is to consider three factors, namely, intra-week demand fluctuations, interrelationship between the number of robots and order scheduling and conflicting…
Abstract
Purpose
The purpose of this paper is to consider three factors, namely, intra-week demand fluctuations, interrelationship between the number of robots and order scheduling and conflicting objectives (i.e. cost minimization and customer satisfaction maximization), to optimize the robot logistics system.
Design/methodology/approach
The number of robots and the sequence of delivery orders are first optimized using the heuristic algorithm NSGACoDEM, which is designed using genetic algorithm and composite difference evolution. The superiority of this method is then confirmed by a case study of a four-star grade hotel in South Korea and several comparative experiments.
Findings
Two performance metrics reveal the superior performance of the proposed approach compared to other baseline approaches. Results of comparative experiments found that the consideration of three influencing factors in the operation design of a robot logistic system can effectively balance cost and customer satisfaction over the course of a week in hotel operation and optimize robot scheduling flexibility.
Practical implications
The results of this study reveal that numerous factors (e.g. intra-week demand fluctuations) can optimize the performance efficiency of robots. The proposed algorithm can be used by hotels to overcome the influence of intra-week demand fluctuations on robot scheduling flexibility effectively and thereby enhance work efficiency.
Originality/value
The design of a novel algorithm in this study entails enhancing the current robot logistics system. This algorithm can successfully manage cost and customer satisfaction during off-seasons and peak seasons in the hotel industry while offering diversified schemes to various types of hotels.
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Kenneth J. Klassen and Thomas R. Rohleder
Service managers are continually challenged with balancing customer demand and service capacity. Recent studies have raised awareness of various demand and capacity management…
Abstract
Service managers are continually challenged with balancing customer demand and service capacity. Recent studies have raised awareness of various demand and capacity management practices available to services, but little numerical work has been done to identify how these decisions work together and how they relate to one another. For instance, reducing prices may attract customers during a slow period, but the extent of impact this should have on cross‐training staff is not clear. A simulation based on theoretical and empirical insights explores the impact of various decisions on profitability and operations. The decisions modelled include the impact of: automation, customer participation, cross training employees, informing customers about the operation, and others. It is shown that demand and capacity decisions do indeed impact on each other – sometimes in ways that are not initially obvious. Results provide useful thought‐starters for service managers striving to improve their operations.
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