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The chapter aims to bring out the dynamic nature or hierarchy in organizations and presents a conceptual framework for making sense of hierarchy in contemporary work. We describe hierarchy as the result of a contradictory dynamic that incorporates both vertical and horizontal practices of organizing. The vertical practice, verticalization, draws on and reproduces the formal organization, whereas the horizontal practice, horizontalization, orders people on the basis of their knowledge and initiatives. The dynamic between these two practices varies, we argue, depending on the social and epistemic distance of formal managers' from the operative work process. Three different dynamics between verticalization and horizontalization – loose coupling, translation, and integration – are identified and illustrated, drawing on three ethnographically inspired studies of knowledge work. Through these three dynamics, the chapter casts light on and provides nuances to the current discussion in the literature on postbureaucracy.

This paper aims to systematically review the literature on quality management in agri-food supply chains (SCs) and propose an integrated conceptual framework.

A systematic literature review that analyses 93 papers in peer-reviewed academic journals published from 1996 to November 2021 is conducted. A conceptual model is advanced.

Based on a hierarchy of capabilities perspective, the authors develop an integrated conceptual framework in which SC quality (SCQ) management practices promote three levels of SC dynamic capabilities, which in turn lead to agri-food SCQ performance.

The authors propose a hierarchy of capabilities perspective of quality management in agri-food SCs and develop a conceptual framework. Furthermore, a number of propositions based on dynamic capabilities and the review findings are provided. Four future research directions are presented.

In this paper the authors explore the managerial processes involved in deep, purposeful organizational change. The authors investigate change towards a goal-directed end state and the managerial actions involved in reaching it. The purpose of this paper is to identify patterns of organizational change by analysing how variations occurred in a firm’s resources and capabilities at a time of high internal and external uncertainty.

The authors use a longitudinal in-depth case study on the airline Spanair. The authors analyse the change process this airline engaged in between 2007 and 2012, which was considered the most turbulent period in aviation history. The authors followed the grounded theory approach to induce a strategic capability pattern model from secondary data.

The authors identify a capability pattern with four dynamic capabilities: adding, transferring, integrating and shedding; and two higher-order capabilities: goal development and change orchestration. The authors show how the higher-order capability processes are performed by two levels of decision makers, where one creates a goal-directed path, and the other performs a central role in orchestrating change.

Using the teleological approach the authors identify how top management orchestrate change arising from the dynamic capability process outcomes in a top-down and bottom-up manner. As such the authors show how the role of management becomes fundamental in adjusting the capabilities required to meet the goals set, particularly in times of heightened internal and external environmental turbulence. The authors also emphasize the importance of providing bottom-up advice to goal directors.

In the ever‐changing world, vendor selection and evaluation are very important in supply chain management. Recently, there has been extensive research in the areas of vendor selection and evaluation under certainty/uncertainty without time axis, but there has been very little research in the selection of vendor with time axis. The purpose of this paper is to address this gap in the research.

Traditional approaches have been neglecting multi‐period planning horizon for vendor selection, and many decision makers or experts select vendors based on their practice and intuition. To overcome these problems, a dynamic model supporting vendors with time axis has been developed which is not always crisp, rather it involves a high degree of fuzziness and uncertainty. The authors use fuzzy analytic hierarchy process (AHP) to propose the decision model.

The research provides a mathematical system that captures the uncertainties associated with human cognitive processes in order to select the vendor. The findings of this study provide meaningful and advanced knowledge to decision makers by demonstrating a simple, efficient method to enhance the ability to predict an appropriate vendor period wise.

This research provides detailed step‐by‐step procedures to choose the best vendor selection and evaluation under uncertainty with time axis in a supply chain. It will be of value to other researchers and the department members in any firm who are responsible for selecting the vendor.

Information sharing and coordination between buyer and vendor have been considered as useful strategies to improve supply chain performance. The debate is about what information to share and how to share most cost‐effectively to maximize the mutual benefits of the supply chain as a whole and the individual business players. Proposes a systematic framework for investigating the impacts of sharing production information on the supply chain dynamic performance. This framework supports supply chain researches to study impacts of information sharing under various scenarios. Examines, under the framework, an inventory allocation problem in an arborescent distribution supply chain with two distribution channels competing for the same source of supply. Finds that the levels of benefits by sharing information vary with different players involved in the supply chain. Suggests some guidelines to balance the benefits in a supply chain in order to motivate information sharing.

Considers the gendering of organizations and contends that gender, as a dimension of organizational culture, is a factor responsible for the limited participation of women in project management. Continues the argument presented in an earlier article published in this journal and proposes an agenda for future research in this area.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

Actual situations evidence how adopted decisions can change the decision constraints of the system where the analytic hierarchy process (AHP) is being applied. Therefore, the purpose of this paper is to provide a dynamic view of the AHP method, considering the criteria and alternatives as temporary variables and finally obtaining not only one good choice for a specific moment but a more comprehensive picture of those alternatives resulting more important for the business, according to strategy and over time.

With this purpose this paper starts with a short literature review and the general characteristics of the AHP method. Afterwards, the paper presents the problem that appears frequently in actual situations which justify the development of this research. Once described, the uncertainty appeared after the AHP implementation, the proposed methodology called dynamic analytic hierarchy process (DAHP) is presented.

Finally, this paper shows a case study and concludes with the main points of the research suggesting applications and further extensions.

The value of this paper is the description of a DAHP as a tool that can facilitate decision making related to some of the critical aspects in maintenance or post-sales area, permitting the alignment of actions with the business’ objectives.

The prerequisite for most traditional visual simultaneous localization and mapping (V-SLAM) algorithms is that most objects in the environment should be static or in low-speed locomotion. These algorithms rely on geometric information of the environment and restrict the application scenarios with dynamic objects. Semantic segmentation can be used to extract deep features from images to identify dynamic objects in the real world. Therefore, V-SLAM fused with semantic information can reduce the influence from dynamic objects and achieve higher accuracy. This paper aims to present a new semantic stereo V-SLAM method toward outdoor dynamic environments for more accurate pose estimation.

First, the Deeplabv3+ semantic segmentation model is adopted to recognize semantic information about dynamic objects in the outdoor scenes. Second, an approach that combines prior knowledge to determine the dynamic hierarchy of moveable objects is proposed, which depends on the pixel movement between frames. Finally, a semantic stereo V-SLAM based on ORB-SLAM2 to calculate accurate trajectory in dynamic environments is presented, which selects corresponding feature points on static regions and eliminates useless feature points on dynamic regions.

The proposed method is successfully verified on the public data set KITTI and ZED2 self-collected data set in the real world. The proposed V-SLAM system can extract the semantic information and track feature points steadily in dynamic environments. Absolute pose error and relative pose error are used to evaluate the feasibility of the proposed method. Experimental results show significant improvements in root mean square error and standard deviation error on both the KITTI data set and an unmanned aerial vehicle. That indicates this method can be effectively applied to outdoor environments.

The main contribution of this study is that a new semantic stereo V-SLAM method is proposed with greater robustness and stability, which reduces the impact of moving objects in dynamic scenes.

Christian Churches in the United States are facing decline and, just like other organizations, must renew themselves. This study explores the culture of a successful Midwestern church and its climate for innovation in an effort to move this church toward renewal. Through multiple regressionanalysis, support was found for the literature’s claims that a strong adhocracy culture has a significantly positive relationship with climate for innovation. However, the findings offered startling support that a strong clan culture has an even greater significant correlation with climate for innovation. Interestingly, it was found that market and hierarchy cultures have a small inverse relationship with support for innovation, and also that market culture has a small inverse relationship with resource supply. These results have significant implications for churches, ministries, and other nonprofit leaders and their organizations.