New Insights into Consumer Loyalty of Website-Services

2013 ◽  
pp. 246-257 ◽  
Author(s):  
Jamie Carlson ◽  
Dennis Ahrholdt ◽  
Ramaswami Sridharan ◽  
Togar Simatupang
Keyword(s):  
Resource Allocation ◽  
Theory Development ◽  
Flow Theory ◽  
Future Research ◽  
Online Environment ◽  
Consumer Loyalty ◽  
Research Directions ◽  
Future Research Directions ◽  
Quadratic Effects

This chapter contributes to the study of flow theory development in the online environment by analysing its quadratic effects on consumer loyalty and flow’s role acting in parallel with satisfaction and trust. In doing so, the research reveals efficient key resource allocation implications to enhance consumer loyalty, as well as future research directions to further advance the development of flow theory.

Editorial: Design, Analysis and Actuation of Reconfigurable Parallel Mechanisms

2021 ◽  
pp. 1-3
Author(s):  
Jian S Dai ◽  
Yan Jin ◽  
Clément Gosselin
Keyword(s):  
Design Theory ◽  
Theory Development ◽  
Design Analysis ◽  
Future Research ◽  
Parallel Mechanisms ◽  
Research Directions ◽  
International Conference ◽  
Future Research Directions ◽  
Work First

Abstract This Editorial is for the Focused Section with 11 papers aiming to share research efforts in design, theory, development, and applications for Reconfigurable Parallel Mechanisms (RPMs) building on work first presented at the 4th International Conference on Fundamental Issues, Applications and Future Research Directions for Parallel Mechanisms / Manipulators / Machines (World Parallel 2020).

Science for All through Reflective Interactions

2012 ◽  
pp. 102-118 ◽  
Author(s):  
Jennifer J. Neakrase ◽  
H. Prentice Baptiste ◽  
Ashley N. Ryan ◽  
Elsa Q. Villa
Keyword(s):  
Science Classroom ◽  
Future Research ◽  
Online Environment ◽  
Science Content ◽  
Science Concept ◽  
Research Directions ◽  
Online Interactions ◽  
Future Research Directions ◽  
The Individual

One of the goals of science education is to ensure that the discipline of science is accessible to all individuals. By many organizations this has been termed “Science for All,” and those who promote this idea also advocate the connection to science literacy. Teaching science in the online environment has been one way to offer science content to many different individuals, who do not necessarily need to be in the same location. Discourse in the science classroom is framed under situated cognition theory, whereby interactions between individuals are part of the normal culture of the classroom. For science knowledge to be adequately constructed by a student these interactions must be meaningful ones. This is especially important in an online science course where typically learning occurs through interactions between the students and the instructor, the students with one another, and within the individual themselves. As part of these online interactions, good reflective practice includes the different forms of feedback and the quality of this feedback. However, even with quality reflective interactions, there are barriers to science concept construction in an online environment. These barriers are discussed, and future research directions are suggested based on this review.

HR Outsourcing Literature Review: Decisions, Outcome and Its Future Research Directions

2020 ◽  
Author(s):  
Mandy Sim
Keyword(s):  
Literature Review ◽  
Theory Development ◽  
Research Area ◽  
Future Research ◽  
Research Directions ◽  
Human Resource Outsourcing ◽  
Dependent Variables ◽  
Key Issues ◽  
Future Research Directions ◽  
Insight Into

<p>This study aims to systematically synthesize more than 20 years of human resource outsourcing (HRO) studies in a way that is meaningful, concise and, useful to HRO researchers and practitioners. Using<b> </b>grounded coding technique blended with integrative literature review, empirical papers published from 1997 to 2018 are examined. This is the first HRO literature review using such techniques to answer three key research questions: What has the existing empirical academic literature revealed about the determinants of HRO decisions and outcomes? What are the key issues emerged from the literature? What are the gaps in knowledge which warrant future HRO research? Other than providing a comprehensive insight into an emerging research area, this review also contributes to laying an important foundation for the initial descriptive HRO theory development. 36 dependent variables and 99 independent variables over 449 relationships were coded.</p>

The Impact of Skill Learnability on the Effectiveness of Managerial Training and Development

1983 ◽  
Vol 9 (1) ◽  
pp. 27-39 ◽  
Author(s):  
Donald H. Brush ◽  
Betty Jo Licata
Keyword(s):  
Resource Allocation ◽  
Training And Development ◽  
Future Research ◽  
Research Directions ◽  
Managerial Skills ◽  
Body Of Knowledge ◽  
Managerial Training ◽  
Future Research Directions ◽  
The Impact ◽  
And Training

Skill learnability, the degree to which a particular managerial skill can be acquired or modified by training and development, is de scribed and discussed. It is argued that those managerial skills com prised of large sociallinteractive components and affected by under lying noncognitive attributes are more difficult to learn than skills which can be articulated through a common body of knowledge or technology. Implications for organization resource allocation be tween selection and training strategies and future research directions are discussed.

scholarly journals DRL-Based Intelligent Resource Allocation for Diverse QoS in 5G and toward 6G Vehicular Networks: A Comprehensive Survey

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Hoa TT. Nguyen ◽  
Minh T. Nguyen ◽  
Hai T. Do ◽  
Hoang T. Hua ◽  
Cuong V. Nguyen
Keyword(s):  
Resource Allocation ◽  
Reinforcement Learning ◽  
Vehicular Networks ◽  
Optimization Problems ◽  
Vehicular Network ◽  
Future Research ◽  
Vehicular Communication ◽  
Real Time System ◽  
Research Directions ◽  
Future Research Directions

The vehicular network is taking great attention from both academia and industry to enable the intelligent transportation system (ITS), autonomous driving, and smart cities. The system provides extremely dynamic features due to the fast mobile characteristics. While the number of different applications in the vehicular network is growing fast, the quality of service (QoS) in the 5G vehicular network becomes diverse. One of the most stringent requirements in the vehicular network is a safety-critical real-time system. To guarantee low-latency and other diverse QoS requirements, wireless network resources should be effectively utilized and allocated among vehicles, such as computation power in cloud, fog, and edge servers; spectrum at roadside units (RSUs); and base stations (BSs). Historically, optimization problems have mostly been investigated to formulate resource allocation and are solved by mathematical computation methods. However, the optimization problems are usually nonconvex and hard to be solved. Recently, machine learning (ML) is a powerful technique to cope with the complexity in computation and has capability to cope with big data and data analysis in the heterogeneous vehicular network. In this paper, an overview of resource allocation in the 5G vehicular network is represented with the support of traditional optimization and advanced ML approaches, especially a deep reinforcement learning (DRL) method. In addition, a federated deep reinforcement learning- (FDRL-) based vehicular communication is proposed. The challenges, open issues, and future research directions for 5G and toward 6G vehicular networks, are discussed. A multiaccess edge computing assisted by network slicing and a distributed federated learning (FL) technique is analyzed. A FDRL-based UAV-assisted vehicular communication is discussed to point out the future research directions for the networks.

HR Outsourcing Literature Review: Decisions, Outcome and Its Future Research Directions

2020 ◽  
Author(s):  
Mandy Sim
Keyword(s):  
Literature Review ◽  
Theory Development ◽  
Research Area ◽  
Future Research ◽  
Research Directions ◽  
Human Resource Outsourcing ◽  
Dependent Variables ◽  
Key Issues ◽  
Future Research Directions ◽  
Insight Into

<p>This study aims to systematically synthesize more than 20 years of human resource outsourcing (HRO) studies in a way that is meaningful, concise and, useful to HRO researchers and practitioners. Using<b> </b>grounded coding technique blended with integrative literature review, empirical papers published from 1997 to 2018 are examined. This is the first HRO literature review using such techniques to answer three key research questions: What has the existing empirical academic literature revealed about the determinants of HRO decisions and outcomes? What are the key issues emerged from the literature? What are the gaps in knowledge which warrant future HRO research? Other than providing a comprehensive insight into an emerging research area, this review also contributes to laying an important foundation for the initial descriptive HRO theory development. 36 dependent variables and 99 independent variables over 449 relationships were coded.</p>

scholarly journals Entrepreneurial Marketing Theory: Current Developments and Future Research Agenda

2020 ◽  
Vol 3 (1) ◽  
pp. 27-46 ◽  
Author(s):  
Tayyab Amjad ◽  
Shamsul Huda Abdul Rani ◽  
Shiza Sa'atar
Keyword(s):  
Higher Education ◽  
Research Agenda ◽  
Design Methodology ◽  
Theory Development ◽  
Future Research ◽  
Marketing Theory ◽  
Research Directions ◽  
Entrepreneurial Marketing ◽  
Future Research Agenda ◽  
Future Research Directions

Purpose- Entrepreneurial Marketing (EM) research has progressed rapidly over the last decade due to its effectiveness in highly competitive markets and uncertain conditions. However, the theory development in the EM domain is inadequate as yet. Due to this, the higher education institutions are also using outdated curricula to teach EM, as the new theories contribute towards the development of curricula. Thus, to assist in upgrading the EM curricula, we have examined the theory development over the last decade in the domain of EM. Design/Methodology- A systematic and in-depth review and analysis of over a decade’s EM literature has been done. Findings- Five major yet specific gaps are identified, and accordingly, we have proposed future research directions.

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