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This study aimed to investigate the sensemaking strategies employed by early-career employees working within organizationally constrained environments.

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.

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.

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.

Previous sensemaking research focused on what takes place in high-reliability organizations. This study explored sensemaking strategies in workplaces that are organizationally constrained.

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.

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.

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.

Inherent within the research methodology, researchers’ inclusion in the data collection process may affect participants responses.

Researchers discuss the implications of this work, including the role of hiring candidates and clear articulation of a mission for the partnership.

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.

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.

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.

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.

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.

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.

This article shares an academic library's transition from traditional reference services to a peer support model during a campus reopening post-COVID-19 closure. It examines the conception, implementation and implications of the Peer Mentor program amidst shifts in campus priorities, Library research and reference paradigms and the Library workforce, from the perspectives of library faculty and staff, alongside feedback from student workers.

The article uses a case study approach to detail the Library's Peer Mentor Program by authors involved in various stages of the program's lifespan and discusses the beginnings, implementations and challenges of the program and introduces the unique curriculum used to train student Peer Mentors.

The authors chronicle their own experience after two semesters of the Peer Mentor program alongside qualitative feedback from the first cohort of Peer Mentors. The Peer Mentor feedback points to positive impacts in other academic pursuits and in gaining a greater understanding of the information landscape and the library field.

The case study presented is a valuable example for academic librarians considering beginning peer-to-peer learning models within their own research and reference services units, especially those who may be creating these peer learning networks in the wake of library service disruption or restructure (such as due to the COVID-19 pandemic).

This paper aims to gain insight into managers' perspectives on the concept and practice of workers' participation in management (WPM) in Indian organizations. WPM is a critical ingredient in organizational effectiveness. However, the most fundamental aspects of WPM, such as the attitudes, expectations of managers and the factors facilitating or hindering the participation process, are less explored. This paper attempts to answer those questions concerning WPM in the context of Indian organizations.

The study uses data from 138 managers of Indian public and private sector organizations. Data were collected through an online survey as well as through semi-structured interviews. The study explores potential benefits, roadblocks and supporters from the managers' perspective. Further, to test the hypothesis, the author used multiple regression analysis.

The paper demonstrates managers' perception of workers' participation at the board level as the most beneficial and supportive compared to joint consultation and joint decision-making; however, at the same time, it is the one having the most roadblocks in the present Indian Labour laws. Workers, unions and managers' lack of legislative support and intention fuel the fire. The study also found that implementation of WPM is primarily based on statutory norms, and public sector managers are more willing to take the workers on board than managers of private sector organizations.

This research is of practical significance as it extracts new visions for policymakers in India already planning to implement four new labor codes, namely, wages, industrial relations, social security and occupational safety, health and working conditions. The data from the study will facilitate the Indian labor ministry to lay down policy decisions concerning WPM. Further, the government can acclimatize this analysis to plug the ambiguities in the present WPM system.

To the best of the author’s knowledge, this is the first study to give insights into the manager's perspective regarding the WPM using a scenario-based approach. In addition, this paper offers valuable suggestions for policymakers to restructure and streamline the country's existing and overlapping labor laws.

The purpose of this paper is to describe how first-line managers (FLMs) in home care (HC) reason about the opportunities and obstacles to lead the work according to the individual’s needs and goals.

In this participatory appreciative action reflection project, eight managers within one Swedish municipality were interviewed. The data were analysed using a thematic analysis.

The results showed a polarization between two different systems that FLMs struggle to balance when attempting to lead HC that adapts to the needs and goals of individuals. One system was represented by the possibilities of a humane system, with human capital in the form of the individual, older persons and the co-workers in HC. The second system was represented by obstacles in the form of the economic needs of the organization in which the individual receiving HC often felt forgotten. In this system, the organization’s needs and goals governed, with FLMs needing to adapt to the cost-effectiveness principle and keep a balanced budget. The managers had to balance an ethical conflict of values between the human value and needs-solidarity principles, with that of the cost-effectiveness principle.

The FLMs lack the opportunity to lead HC according to the needs and goals of the individuals receiving HC. There is a need for consensus and a value-based leadership model based on ethical principles such as the principles of human value and needs-solidarity to lead the HC according to the individual’s needs and goals.

During the coronavirus disease 2019 (COVID-19) pandemic, employers struggled to develop virtual onboarding (VO) experiences among new employees. Prior research has examined VO processes. This study, by contrast, compares online commentaries in relation to current research findings to determine a functional description of effective VO.

Using a qualitative, inductive thematic analysis, the researchers explored new employees' online, anonymous, public commentary about the employers' VO experiences. Through analyzing 83 posted communications, the researchers sought to not only categorize themes, but to also identify meaning within the employees' commentary. From the thematic analysis, meaningful themes were established and compared to existing literature to identify comprehensive trends in effective VO.

The analysis developed nine themes of discussion question (DQ) prompts and nine themes of discussion responses. The professionals' online discussion about VO in the workplace as well as attributes of each theme was compared to contemporary VO research. In combination with a review of established literature of effective VO and an examination of organizational socialization theory, the study confirms that some virtually onboarded employees are excelling with, and some are challenged by the communication deficiencies of the remote experience. Employee experiences are highlighted to develop a description of contemporary effective VO experiences to support future workplace efficiencies.

Data were gathered via Blind and each response shared on Blind is subject to the viewpoint of the participants. For future research, face-to-face interviews might offer context regarding new hires' VO experiences. Also the generalizability is impacted because not all participants of VO participate via Blind. Participant bias is possible given the perceived dissatisfaction or negative experiences. Future research can perform a national random study of employees. Finally, the data and participants in this study were USA based. Future research should consider other international contexts such as Europe.

The thematic findings of this study yield valuable practical recommendations. New hires that experience VO are seeking improved virtual communication channels between themselves and the managers and colleagues of the hires. As such, corporate managers/trainers can implement a virtual mentoring program to have senior employees prepare and guide new hires into employees' new remote working environment to reduce employees' uncertainty. To improve VO processes in a post-pandemic society, corporate managers/trainers can incorporate social media communication given that employees participate in social media to develop their careers. With social media work groups, new virtual hires can be better socialized through effective peer-to-peer informal internal communications where the hires can freely ask questions and build better work relationships.

In each onboarding experience and evident in each of the five themes, learning is an underlying concept. New employees are describing that it is challenging to development organizational shared values, skills, attitudes, knowledge, abilities, behaviors and relationships in a VO process. As organizational leaders continue to develop VO experiences, a focus on learning as dependent on the virtual learning process and content can be significant in terms of creating a positive employee VO learning experience.

The findings are unique in exploring new hires' self-reported VO experiences. This study offers insight into effective VO practices such as developing virtual trainings that are well planned, engaging and supporting of relationships, collaborations and career goals.

In repetitive projects, repetition offers more possibilities for activity scheduling at the sub-activity level. However, existing resource-constrained repetitive scheduling problem (RCRSP) models assume that there is only one sequence in performing the sub-activities of each activity, resulting in an inefficient resource allocation. This paper proposes a novel repetitive scheduling model for solving RCRSP with soft logic.

In this paper, a constraint programming model is developed to solve the RCRSP using soft logic, aiming at the possible relationship between parallel execution, orderly execution or partial parallel and partial orderly execution of different sub activities of the same activity in repetitive projects. The proposed model integrated crew assignment strategies and allowed continuous or fragmented execution.

When solving RCRSP, it is necessary to take soft logic into account. If managers only consider the fixed logic between sub-activities, they are likely to develop a delayed schedule. The practicality and effectiveness of the model were verified by a housing project based on eight different scenarios. The results showed that the constraint programming model outperformed its equivalent mathematical model in terms of solving speed and solution quality.

Available studies assume a fixed logic between sub-activities of the same activity in repetitive projects. However, there is no fixed construction sequence between sub-activities for some projects, e.g. hotel renovation projects. Therefore, this paper considers the soft logic relationship between sub-activities and investigates how to make the objective optimal without violating the resource availability constraint.

The target of this research is to develop a mathematical model which combines the Resource-Constrained Multi-Project Scheduling Problem (RCMPSP) and the Multi-Skilled Resource-Constrained Project Scheduling Problem (MSRCPSP). Due to the importance of resource management, the proposed formulation comprises resource leveling considerations as well. The model aims to simultaneously optimize: (1) the total time to accomplish all projects and (2) the total deviation of resource consumptions from the uniform utilization levels.

The K-Means (KM) and Fuzzy C-Means (FCM) clustering methods have been separately applied to discover the clusters of activities which have the most similar resource demands. The discovered clusters are given to the scheduling process as priori knowledge. Consequently, the execution times of the activities with the most common resource requests will not overlap. The intricacy of the problem led us to incorporate the KM and FCM techniques into a meta-heuristic called the Bi-objective Symbiosis Organisms Search (BSOS) algorithm so that the real-life samples of this problem could be solved. Therefore, two clustering-based algorithms, namely, the BSOS-KM and BSOS-FCM have been developed.

Comparisons between the BSOS-KM, BSOS-FCM and the BSOS method without any clustering approach show that the clustering techniques could enhance the optimization process. Another hybrid clustering-based methodology called the NSGA-II-SPE has been added to the comparisons to evaluate the developed resource leveling framework.

The practical importance of the model and the clustering-based algorithms have been demonstrated in planning several construction projects, where multiple water supply systems are concurrently constructed.

Reviewing the literature revealed that there was a need for a hybrid formulation that embraces the characteristics of the RCMPSP and MSRCPSP with resource leveling considerations. Moreover, the application of clustering algorithms as resource leveling techniques was not studied sufficiently in the literature.

This research presents a multiproject scheduling and resource management (MPSRM) model that includes an M/M/c/n queue system, a p-hub median model, a parallel machine scheduling and a hub location problem solution method. This research aims to design a project network and then sequence raw materials delivery to hub factories.

This research is implemented as a case study in construction and industrial company. It considers several mines to supply raw materials for production in hub factories. In the sequencing phase, a parallel mine scheduling problem specifies the delivery of raw materials to hub factories. Furthermore, a multisource project scheduling model is studied and designed for building project-oriented companies.

The results suggest that the proposed MPSRM model in this study significantly reduces project transportation costs. Therefore, creating accurate planning in projects, especially in construction projects where transportation plays an important role, can help reduce time and costs. Researchers, project managers and those dealing with projects can use this model to exploit their projects.

When the number of construction projects in a construction company increases in a region, choosing an appropriate strategy to supply resources and raw materials becomes very important in terms of profit and loss and project completion as scheduled. An increase in transportation demands alongside the economic development on the one hand and providing competitive transportation services, on the other hand, have increasingly spotlighted the significance of hub networks in transportation systems. In addition, in this research, there is no suitable access road from the mines to the project sites, and considering the workload, if any of the projects become a hub, a proper road should be built.

To the best of the knowledge, there is no outstanding research in which a p-hub median location problem by considering queuing model and different transportation modes and a parallel machine scheduling problem are studied simultaneously.