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The purpose of this paper is to evaluate the effectiveness of negotiation training delivered to senior clinicians, managers and executives, by exploring whether staff members implemented negotiation skills in their workplace following the training, and if so, how and when.

This is a qualitative study involving face-to-face interviews with 18 senior clinicians, managers and executives who completed a two-day intensive negotiation skills training course. Interviews were transcribed verbatim, and inductive interpretive analysis techniques were used to identify common themes. Research setting was a large tertiary care hospital and health service in regional Australia.

Participants generally reported positive affective and utility reactions to the training, and attempted to implement at least some of the skills in the workplace. The main enabler was provision of a Negotiation Toolkit to assist in preparing and conducting negotiations. The main barrier was lack of time to reflect on the principles and prepare for upcoming negotiations. Participants reported that ongoing skill development and retention were not adequately addressed; suggestions for improving sustainability included provision of refresher training and mentoring.

Limitations include self-reported data, and interview questions positively elicited examples of training translation.

The training was well matched to participant needs, with negotiation a common and daily activity for most healthcare professionals. Implementation of the skills showed potential for improving collaboration and problem solving in the workplace. Practical examples of how the skills were used in the workplace are provided.

To the authors’ knowledge, this is the first international study aimed at evaluating the effectiveness of an integrative bargaining negotiation training program targeting executives, senior clinicians and management staff in a large healthcare organization.

New economic geography theorists, who have revived the importance of local roots and highlighted the significance of cities as a source of international competitiveness, have spurred the global marketing of Incheon. An examination of the new economic geography literature examines the nature of the new localism based on clusters, involving spatial proximity and concentrated face-to-face transaction, agglomeration economies and local knowledge networks. The territorial expression of these ideas is evident in competitive cities and knowledge cities. Both types of cities are embodied in civic attempts to market Incheon as an international city through the development of the international harbor and international airport and a knowledge city at Songdo. As there is no reference to Incheon in the place marketing literature there is a need to market it as Seoul-Incheon and itemize the Capital Region 's key assets and strategic advantages, including logistics and Pentaport - five ports in one - to build a presentation that attracts foreign direct investment and foreign expertise and provokes an energizing debate on the Korean Government's plan to position the country as the hub for international commerce in Northeast Asia. Critics of this place marketing approach designed to make Incheo'} a prosperously middle-class city suggest more evidence is needed before it can be assumed firms locate in cities as a base for export activities to boost their competitiveness. Perhaps there is need to give up the preoccupation with the local focus in cluster analysis and give equal attention to global connections.

Based on an exploratory case-based approach, the purpose of this paper is to open the KM black box and examine the relationships that link knowledge management (KM) inputs (i.e. knowledge resources and KM practices) via knowledge processes to KM performance. This paper aims to identify the underlying mechanisms and explain how KM performance is enabled.

This in-depth case study conducted at a medium-sized consultancy in the supply chain management industry empirically examines knowledge flows to uncover the relationships between KM inputs, knowledge processes and KM performance. We adopt the viable system model (VSM) as a theoretical lens to identify KM mechanisms.

By identifying six KM mechanisms, we contribute to the theoretical understanding of how KM inputs are interconnected and lead to KM performance via knowledge processes.

Based on the insights gained, we provide propositions that organizations should consider in designing viable KM. Our findings help organizations in understanding their KM with the help of knowledge flow analysis and identifying how critical KM elements are interconnected.

Community-engaged partnerships have the ability to combine expertise and resources to enhance the local STEM learning ecosystem, by engaging the actors in communities that can enhance students' experiences in science, technology, engineering and mathematics (STEM) education. Texas Tech University (TTU) and Lubbock Independent School District (LISD) have partnered to coordinate an annual STEM Challenge to encourage STEM learning and interest among local middle grade students. Each summer, teams of (three to four) students from ten LISD middle schools participate in a week-long engineering design challenge, facilitated by TTU undergraduate mentors and their teachers, structured by the Engineering Design Process (EDP).

Quantitative (survey) and qualitative (open-ended responses) data from two years of student glider and hovercraft projects offer insight into how 66 students developed STEM knowledge and leveraged 21^st-century skills to accomplish a shared aim (design challenge).

Findings suggest growth in students' 21^st-century skills, most among underrepresented (racial, ethnic and gender minority) groups. Data from year one (2018) informed year two (2019) in both programming and the research, including enhanced training for mentors and a deeper exploration of students' experiences during each stage of the EDP during the STEM challenge.

Significant and salient findings are discussed along with recommendations for both programmatic and methodological improvements for year three (2020). This study provides insight into how to structure similar community-engaged partnerships in enhancing the community STEM ecosystem through collaborative STEM experiences for diverse, younger learners.

Time headway (THW) is an essential parameter in traffic safety and is used as a typical control variable by many vehicle control algorithms, especially in safety-critical ADAS and automated driving systems. However, due to the randomness of human drivers, THW cannot be accurately represented, affecting scholars’ more profound research.

In this work, two data sets are used as the experimental data to calculate the goodness-of-fit of 18 commonly used distribution models of THW to select the best distribution model. Subsequently, the characteristic parameters of traffic flow are extracted from the data set, and three variables with higher importance are extracted using the random forest model. Combining the best distribution model parameters of the data set, this study obtained a distribution model with adaptive parameters, and its performance and applicability are verified.

In this work, two data sets are used as the experimental data to calculate the goodness-of-fit of 18 commonly used distribution models of THW to select the best distribution model. Subsequently, the characteristic parameters of traffic flow are extracted from the data set, and three variables with higher importance are extracted using the random forest model. Combining the best distribution model parameters of the data set, this study obtained a distribution model with adaptive parameters, and its performance and applicability are verified.

The results show that the proposed model has a 62.7% performance improvement over the distribution model with fixed parameters. Moreover, the parameter function of the distribution model can be regarded as a quantitative analysis of the degree of influence of the traffic flow state on THW.

The purpose of this systematic review is to highlight some of the business model changes restaurants, bars and beverage producers undertook to modify their operations in order to not only stay in business but also to better serve their employees and communities during the COVID-19 crisis.

An analysis was conducted on 200 industry articles and categorized into three major themes: expansion of take-out/delivery, innovative practices, and community outreach/corporate support, each are further subdivided into additional themes. The systematic review is further supported by personal interviews with industry professionals.

This research finds that there were many different approaches used in adjusting business models in response to the dining restrictions put in place due to COVID-19. From these approaches, themes were developed which resulted in uncovering some suggestions such as developing contingency plans, being flexible and creative, eliminating menu items, investing in a communication platform and getting involved with local government. In addition, some practices operators should be mindful of such as selling gift cards and starting a crowdfund.

This research provides a systematic analysis of business model changes that occurred due to COVID-19 dining restrictions. Researchers can use this information as a guide for further analysis on a specific theme introduced herein.

This research offers several practical implications which will assist the industry should another similar event occur in the future. The systematic analysis describes and documents some suggestions as well as practices to be mindful of in preparing contingency plans for the future.

This research documents an unprecedented time for the hospitality industry by examining how restaurant, bar and beverage producers around the country responded to COVID-19 restrictions. Distilling the multitude of information into succinct themes that highlight the business model changes that occurred will aid future research as well as operators.

The purpose of this paper is to provide an experiential learning exercise that develops student understanding of social networks within organizations. Understanding these networks can foster complete access to information and inclusive decision-making that translates into career success.

This experiential learning classroom exercise supports all student learning styles using a puzzle to teach students to apply social network theory toward real-world decision-making. This exercise is best used in small and medium-sized classrooms with ideally 15–40 students. This simulation could be used during 50 up through 120-min class sessions.

The game-like environment created by this exercise helps extend real-world understanding that may traditionally be lost with a lecture. Components within this simulation provide balanced consideration for many different learning styles. This exercise has been used successfully within a graduate-level leadership and decision-making course in at least ten sessions over 5 years.

This is a real-time theory to practice application exercise where an experiential activity is deployed for students to understand the practical implications and application of a theoretical concept.

Organizations have internal social networks connecting employees. These connections are how information is dispersed and knowledge is shared. When these networks are understood and effectively used, it can result in more comprehensive problem-solving, valuable collaboration and the maximization of subject matter expertise within the organization.

This is a “how-to” teaching and pedagogical exercise. It is original with the benefit of its flexibility and adaptability in the classroom.

The purpose of this paper is to investigate US noncombatant evacuation operations (NEO) in South Korea and devise planning and management procedures that improve the efficiency of those missions.

It formulates a time-staged network model of the South Korean noncombatant evacuation system as a mixed integer linear program to determine an optimal flow configuration that minimizes the time required to complete an evacuation. This solution considers the capacity and resource constraints of multiple transportation modes and effectively allocates the limited assets across a time-staged network to create a feasible evacuation plan. That solution is post-processed and a vehicle routing procedure then produces a high resolution schedule for each individual asset throughout the entire duration of the NEO.

This work makes a clear improvement in the decision-making and resource allocation methodology currently used in a NEO on the Korea peninsula. It immediately provides previously unidentifiable information regarding the scope and requirements of a particular evacuation scenario and then produces an executable schedule for assets to facilitate mission accomplishment.

The significance of this work is not relegated only to evacuation operations on the Korean peninsula; there are numerous other NEO and natural disaster related scenarios that can benefit from this approach.