scholarly journals Technology-Based Recruitment and Selection Approaches of an American Multinational Company (AMNC): Practical Implications

2020 ◽  
Vol 10 (3) ◽  
pp. 117
Author(s):  
Mussie T. Tessema ◽  
Kiflemariam Abraham ◽  
Jing Han ◽  
Madison Bowe ◽  
Tayler Bug
Keyword(s):  
Job Applicants ◽  
Multinational Company ◽  
Future Research ◽  
Hiring Managers ◽  
Use Of Technology ◽  
Selection Processes ◽  
Future Research Directions ◽  
Recruitment And Selection ◽  
Hr Managers

This study identifies and discusses six technologies that affect recruitment and selection approaches using an American multinational company (AMNC) as a case study. It indicates that technology-based recruitment and selection approaches have had a noticeable impact on the AMNC’s recruitment and selection processes and practices in general, and the three stakeholders (human resource- HR- managers, hiring managers, and job-applicants) in particular. It concludes that the use of technology-based recruitment and selection approaches is not the matter of choice but is a requirement for the success of any company. It also offers the study’s implications and future research directions.

scholarly journals The Next Generation

2011 ◽  
pp. 57-78 ◽  
Author(s):  
Agnes Kukulska-Hulme ◽  
Chris Jones
Keyword(s):  
Future Research ◽  
Net Generation ◽  
Educational Systems ◽  
Recent Experience ◽  
Place And Space ◽  
Pedagogical Design ◽  
Design For Learning ◽  
Future Research Directions ◽  
The Relationship

Focusing on intermediate and institutional levels of design for learning, this chapter explores how institutional decisions relate to design, using recent experience at The Open University as a case study. To illuminate the relationship between institutional decisions and learner-focused design, we review and bring together some of the research on learner practices in mobile and networked learning. We take a critical stance in relation to the concept of generation, which has been applied to understanding learners of different ages using terms such as net generation and digital natives. Following on from this, we propose an integrated pedagogical design approach that takes account of learner practices, spaces for learning, and technologies. The chapter also proposes future research directions focused on the changing context for learning, a distinction between place and space and an understanding of how the different levels of educational systems interact with mobile and networked technologies.

Achieving Excellence in Teaching

2013 ◽  
pp. 280-290
Author(s):  
Iain Doherty
Keyword(s):  
Professional Development ◽  
Systemic Change ◽  
Future Research ◽  
Teaching Improvement ◽  
Research Directions ◽  
Teaching Culture ◽  
Future Research Directions ◽  
Educational Professional ◽  
Excellence In Teaching

The purpose of this chapter is to examine the challenges of achieving systemic change in the teaching culture of a research-intensive university. The chapter makes use of a teaching improvement case study to identify both the challenges and the solutions to engaging academics in a research-intensive university with educational professional development. Ongoing issues are identified and future research directions are presented.

Organizational Leadership and Health Care Reform

2016 ◽  
pp. 1043-1063
Author(s):  
T. Ray Ruffin ◽  
Joyce Marie Hawkins ◽  
D. Israel Lee
Keyword(s):  
Health Care ◽  
Organizational Leadership ◽  
Health Care Systems ◽  
Future Research ◽  
Health Care Reforms ◽  
Use Of Technology ◽  
Hitech Act ◽  
Care Systems ◽  
Future Research Directions ◽  
And Function

Policies, health, and government regulations affect various Health Care organizations and their members. One such policy, the Health Information Technology for Economic and Clinical Health (HITECH) Act, attempts to improve the performance of health care systems through the use of technology, such as Electronic Health Records (Bluementhal, 2010). The most critical task of leadership is to establish a mindset at the top of the organization and function to infuse a culture of excellence throughout the organization (Bentkover, 2012). Health organizations can only progress if their members share a set of values and are single-mindedly committed to achieving openly defined objectives (Bentkover, 2012). This chapter investigates organizational leadership in relation to health care reforms to include trends in health care leadership, Stratified Systems Theory (SST), Systems Thinking, and regulators perspectives. The chapter will consist of the following sections: background; issues controversies, and problems; solutions and recommendation; future research directions; and conclusion.

“I'm Not Simply Dealing with Some Heartless Computer”

2016 ◽  
pp. 160-184
Author(s):  
Peggy Lynn Semingson ◽  
Pete Smith
Keyword(s):  
Case Analysis ◽  
Future Research ◽  
Video Conference ◽  
Master's Level ◽  
Research Directions ◽  
Language Analysis ◽  
Literacy Course ◽  
Future Research Directions ◽  
Cross Case Analysis

This chapter provides a case study example using cross-case analysis (Merriam, 2001) of digital mentoring within an online Master's level literacy course at a large public university in the Southwest United States. Two mentors provided individualized video conference sessions, using Blackboard Collaborate™ to 28 students (mentees). Data included written reflections from students as well as transcripts from selected videoconference sessions. Structured synchronous mentoring sessions provided a predictable framework for students and mentors alike. This chapter provides an analysis of the students' perceptions of the conferences, the types of discourse patterns and language analysis of the conferences, as well as description of themes and trends across the data. Suggestions on the usefulness of the conferences as well as the structure of mentoring sessions are described in the chapter. Established and emerging models of mentorship and e-development are outlined and utilized to frame the analyses and future research directions.

Videos as Tools of Expertise-Based Training (XBT) for the Professional Development of Teachers

2017 ◽  
pp. 255-271
Author(s):  
Hatice Sancar-Tokmak
Keyword(s):  
Professional Development ◽  
Instructional Design ◽  
Design Theory ◽  
Working Life ◽  
Future Research ◽  
Research Directions ◽  
Use Of Technology ◽  
Professional Development Of Teachers ◽  
Service Training ◽  
Future Research Directions

Teachers are the main foundations of the education system, and their professional development during their working life is vital in ensuring the success of any attempts to change that system. It is for this reason that in-service training is high on the agenda of most countries, although previous studies have shown that teachers are unable to transfer the knowledge they gain through in-service training to in-class activities, as more long-lasting help is required. One way in which teachers can be provided help in this regard is through the use of technology in line with a strong instructional design theory. This chapter aims to address this issue by showing how videos can be used in the professional development of teachers as part of an expertise-based training (XBT) program. The chapter is compiled in seven main parts: 1) Introduction 2) Background 3) Main Focus of the Chapter 5) Solutions and Recommendations 6) Future Research Directions, and finally, 7) Conclusions.

scholarly journals Integrating supercomputing clusters into education: a case study in biotechnology

2020 ◽  
Author(s):  
Álvaro Fernández ◽  
Camino Fernández ◽  
José-Ángel Miguel-Dávila ◽  
Miguel Á. Conde
Keyword(s):  
Higher Education ◽  
Educational Process ◽  
Future Research ◽  
Research Directions ◽  
Science Technology ◽  
Future Research Directions ◽  
Technological Skills ◽  
And Mathematics ◽  
Course Of Study

Abstract The integration of a Supercomputer in the educational process improves student’s technological skills. The aim of the paper is to study the interaction between science, technology, engineering, and mathematics (STEM) and non-STEM subjects for developing a course of study related to Supercomputing training. We propose a flowchart of the process to improve the performance of students attending courses related to Supercomputing. As a final result, this study highlights the analysis of the information obtained by the use of HPC infrastructures in courses implemented in higher education through a questionnaire that provides useful information about their attitudes, beliefs and evaluations. The results help us to understand how the collaboration between institutions enhances outcomes in the education context. The conclusion provides a description of the resources needed for the improvement of Supercomputing Education (SE), proposing future research directions.

A Prediction Market-Based Gamified Approach to Enhance Knowledge Sharing in Organizations

2019 ◽  
Vol 50 (5) ◽  
pp. 572-597 ◽  
Author(s):  
Hajime Mizuyama ◽  
Seiyu Yamaguchi ◽  
Mizuho Sato
Keyword(s):  
Knowledge Sharing ◽  
Web Application ◽  
Evaluation System ◽  
Future Research ◽  
Collective Knowledge ◽  
Prediction Market ◽  
Binary Event ◽  
Private Knowledge ◽  
Future Research Directions

Background. Knowledge sharing among the members of an organization is crucial for enhancing the organization’s performance. However, knowing how to motivate and direct members to effectively and efficiently share their relevant private knowledge concerning the organization’s activities is not entirely a straightforward matter. Aim. This study aims to propose a gamified approach not only for motivating truthful sharing and collective evaluation of knowledge among the members of an organization but also for properly directing those actions so as to maximize the usefulness of the shared knowledge. A case study is also conducted to understand how the proposed approach works in a live business scenario. Method. A prediction market game on a binary event on whether the specified activity will be completed successfully is devised. The game utilizes an original comment aggregation and evaluation system through which relevant knowledge can be shared verbally and evaluated collectively by the players themselves. Players’ behavior is driven toward a desirable direction with the associated incentive framework realized by three game scores. Results. The proposed gamified approach was implemented as a web application and verified with a laboratory experiment. The game was also played by four participants who deliberated on an actual sales proposal in a real company. It was observed that the various valuable knowledge elements that were successfully collected from the participants could be utilized for refining the sales proposal. Conclusions. The game induced motivation through gamification, and some of the designed game scores worked in directing the players’ behavior as desired. The players learned from others’ comments, which brought about a snowball effect and enriched collective knowledge. Future research directions include how to transform this knowledge into an easy-to-comprehend representation.

scholarly journals ARE SOCIAL NETWORK WEBSITES EFFECTIVE TOOLS FOR RECRUITMENT AND SELECTION IN TOURISM SECTOR? AN EXPLORATORY CASE STUDY

2020 ◽  
pp. 507-524
Author(s):  
Umut Denizli ◽  
Keyword(s):  
Social Network ◽  
Human Resources ◽  
Research Question ◽  
Job Seekers ◽  
Selection Processes ◽  
Job Opportunities ◽  
Tourism Sector ◽  
Group Interviews ◽  
Recruitment And Selection

This chapter is aimed at obtaining empirical data with regard to the research question, how both recruiters and job seekers take advantage of the integration of social network websites and recruitment & selection processes. Two major social network websites, LinkedIn and Facebook, have been examined due to the fact that they are mostly being used by human resources professionals and job seekers. Qualitative content analyses have been carried out by collecting data via in-depth and focus group interviews with recruiters of a holding that also operates in the tourism sector and with job seekers looking for a job in this sector. It has been observed that the purpose of job seekers’ usage of social network websites is to build networks, connections and reach new job opportunities. Likewise, businesses also aim to reach and attract candidates and communicate at the beginning of the recruitment process.

scholarly journals Human Safety in Autonomous Transport Systems – Review and Case Study

2021 ◽  
Vol 51 (1) ◽  
pp. 57-71
Author(s):  
Alicja Dąbrowska ◽  
Robert Giel ◽  
Sylwia Werbińska-Wojciechowska
Keyword(s):  
Human Detection ◽  
Robotic Systems ◽  
Transport Systems ◽  
Future Research ◽  
Research Gaps ◽  
Research Directions ◽  
Human Safety ◽  
Storage Area ◽  
Future Research Directions

Abstract During the robot's operational tasks, a key issue is its reliability in the aspect of human safety providing. Currently, there are a number of methods used to detect people, and their selection most often depends on the type of process carried out by robots. Therefore, the article is focused on the development of a comparative analysis of selected methods of human detection in the storage area. The main aspect in the context of which these systems were compared concerned the safety of robotic systems in the space of human occurrence. Main advantages and drawbacks of the methods in various applications were presented. The detailed analysis of the achievements in this area gives the possibility to identify research gaps and possible future research directions when using these tools in autonomous warehouses designing processes.

scholarly journals Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

2021 ◽  
Vol 9 ◽  
pp. 1061-1080
Author(s):  
Prakhar Ganesh ◽  
Yao Chen ◽  
Xin Lou ◽  
Mohammad Ali Khan ◽  
Yin Yang ◽  
...  
Keyword(s):  
Language Processing ◽  
Large Scale ◽  
State Of The Art ◽  
Future Research ◽  
Research Directions ◽  
Research Attention ◽  
Model Compression ◽  
Future Research Directions ◽  
Or Applications

Abstract Pre-trained Transformer-based models have achieved state-of-the-art performance for various Natural Language Processing (NLP) tasks. However, these models often have billions of parameters, and thus are too resource- hungry and computation-intensive to suit low- capability devices or applications with strict latency requirements. One potential remedy for this is model compression, which has attracted considerable research attention. Here, we summarize the research in compressing Transformers, focusing on the especially popular BERT model. In particular, we survey the state of the art in compression for BERT, we clarify the current best practices for compressing large-scale Transformer models, and we provide insights into the workings of various methods. Our categorization and analysis also shed light on promising future research directions for achieving lightweight, accurate, and generic NLP models.

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