scholarly journals Operations management of smart logistics: A literature review and future research

2021 ◽  
Author(s):  
Bo Feng ◽  
Qiwen Ye
Keyword(s):  
Operations Management ◽  
Optimization Problems ◽  
Future Research ◽  
Information Communication ◽  
Logistics Industry ◽  
Smart Logistics ◽  
Promising Solution ◽  
Future Research Directions ◽  
Offline Channels ◽  
The Internet Of Things

AbstractThe global collaboration and integration of online and offline channels have brought new challenges to the logistics industry. Thus, smart logistics has become a promising solution for handling the increasing complexity and volume of logistics operations. Technologies, such as the Internet of Things, information communication technology, and artificial intelligence, enable more efficient functions into logistics operations. However, they also change the narrative of logistics management. Scholars in the areas of engineering, logistics, transportation, and management are attracted by this revolution. Operations management research on smart logistics mainly concerns the application of underlying technologies, business logic, operation framework, related management system, and optimization problems under specific scenarios. To explore these studies, the related literature has been systematically reviewed in this work. On the basis of the research gaps and the needs of industrial practices, future research directions in this field are also proposed.

Centralized, Distributed, and Everything in between

2022 ◽  
Vol 54 (7) ◽  
pp. 1-34
Author(s):  
Sophie Dramé-Maigné ◽  
Maryline Laurent ◽  
Laurent Castillo ◽  
Hervé Ganem
Keyword(s):  
Access Control ◽  
Future Research ◽  
The Internet ◽  
Research Directions ◽  
Security Issues ◽  
Security Properties ◽  
Future Research Directions ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Security Of Iot

The Internet of Things is taking hold in our everyday life. Regrettably, the security of IoT devices is often being overlooked. Among the vast array of security issues plaguing the emerging IoT, we decide to focus on access control, as privacy, trust, and other security properties cannot be achieved without controlled access. This article classifies IoT access control solutions from the literature according to their architecture (e.g., centralized, hierarchical, federated, distributed) and examines the suitability of each one for access control purposes. Our analysis concludes that important properties such as auditability and revocation are missing from many proposals while hierarchical and federated architectures are neglected by the community. Finally, we provide an architecture-based taxonomy and future research directions: a focus on hybrid architectures, usability, flexibility, privacy, and revocation schemes in serverless authorization.

Factors Affecting E-Business Adoption by SMEs in Sub-Saharan Africa

2011 ◽  
pp. 319-347 ◽  
Author(s):  
Princely Ifinedo
Keyword(s):  
Communication Technologies ◽  
Sub Saharan Africa ◽  
Future Research ◽  
Information Communication Technologies ◽  
Information Communication ◽  
Factors Affecting ◽  
The World ◽  
Future Research Directions ◽  
Research Gap ◽  
Sub Saharan

The use of information communication technologies (ICT) especially the Internet by small- and medium-sized enterprises (SMEs) is on the increase in many regions of the world, including Africa. Nevertheless, empirical evidence from Sub-Saharan Africa (SSA) regarding the factors that affect the adoption of e-business is scarce. In that regard, the main objective of this chapter is to fill the research gap with an exploratory study that is aimed at eliciting views from SMEs in Nigeria. This article made use of a theoretical framework encompassing organizational, external and technological contexts to deliberate the issue. A survey is conducted in three Nigerian cities and the findings of the study are presented. The implication of the study is discussed and future research directions also given.

scholarly journals Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 309 ◽  
Author(s):  
Hind Bangui ◽  
Said Rakrak ◽  
Said Raghay ◽  
Barbora Buhnova
Keyword(s):  
Cloud Computing ◽  
Leading Edge ◽  
Cloud Services ◽  
Future Research ◽  
Research Directions ◽  
Iot Applications ◽  
Future Research Directions ◽  
Iot Devices ◽  
The Internet Of Things

Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by ensuring and supporting the Quality of Service (QoS) of IoT applications. However, cloud services are still far from IoT devices. Notably, the transmission of IoT data experiences network issues, such as high latency. In this case, the cloud platforms cannot satisfy the IoT applications that require real-time response. Yet, the location of cloud services is one of the challenges encountered in the evolution of the IoT paradigm. Recently, edge cloud computing has been proposed to bring cloud services closer to the IoT end-users, becoming a promising paradigm whose pitfalls and challenges are not yet well understood. This paper aims at presenting the leading-edge computing concerning the movement of services from centralized cloud platforms to decentralized platforms, and examines the issues and challenges introduced by these highly distributed environments, to support engineers and researchers who might benefit from this transition.

scholarly journals Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions

2020 ◽  
Author(s):  
Thanh Thi Nguyen
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Medical Image ◽  
Current Status ◽  
Future Research ◽  
Research Directions ◽  
Daily Lives ◽  
Related Data ◽  
Future Research Directions ◽  
The Internet Of Things

Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with numerous successful stories. AI has also contributed to dealing with the coronavirus disease (COVID-19) pandemic, which has been happening around the globe. This paper presents a survey of AI methods being used in various applications in the fight against the COVID-19 outbreak and outlines the crucial roles of AI research in this unprecedented battle. We touch on a number of areas where AI plays as an essential component, from medical image processing, data analytics, text mining and natural language processing, the Internet of Things, to computational biology and medicine. A summary of COVID-19 related data sources that are available for research purposes is also presented. Research directions on exploring the potentials of AI and enhancing its capabilities and power in the battle are thoroughly discussed. We highlight 13 groups of problems related to the COVID-19 pandemic and point out promising AI methods and tools that can be used to solve those problems. It is envisaged that this study will provide AI researchers and the wider community an overview of the current status of AI applications and motivate researchers in harnessing AI potentials in the fight against COVID-19.

scholarly journals The Literature Review of Platform Economy

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Chen Xue ◽  
Wuxu Tian ◽  
Xiaotao Zhao
Keyword(s):  
Historical Context ◽  
Future Research ◽  
The Internet ◽  
Business Organizations ◽  
Global Business ◽  
New Ideas ◽  
Future Research Directions ◽  
Evaluation Mechanism ◽  
The Internet Of Things ◽  
Platform Economy

Since the 1990s, the increasing development of digital-driven technologies such as the Internet, cloud computing, big data, and the Internet of Things and the popularization of computers and mobile electronic devices have accelerated the evolution of global business organizations, thus making a new form of business organization, platform economy. As the most important form of industrial organization in the new economic era, the development of the platform has received extensive attention from the academia. Through literature analysis and inductive deduction, this paper reviews the connotation of platform economy, the historical context of development, the competition and monopoly (differentiation) of multilateral platforms, the evaluation mechanism of platform, antimonopoly governance, and research methods, and provides theoretical references and new ideas for future research directions.

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.

scholarly journals A Systematic Review on Harmony Search Algorithm: Theory, Literature, and Applications

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Mahima Dubey ◽  
Vijay Kumar ◽  
Manjit Kaur ◽  
Thanh-Phong Dao
Keyword(s):  
Systematic Review ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Harmony Search ◽  
Real Life ◽  
Harmony Search Algorithm ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
Algorithm Theory

Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the behavior of a musician producing a perfect harmony. It has been used to solve the wide variety of real-life optimization problems due to its easy implementation over other metaheuristics. It has an ability to provide the balance between exploration and exploitation during search. In this paper, a systematic review on harmony search algorithm (HSA) is presented. The natural inspiration and conceptual framework of HSA are discussed. The control parameters of HSA are described with their mathematical foundation. The improvement and hybridization in HSA with other metaheuristics are discussed in detail. The applicability of HSA in different problem domains is studied. The future research directions of HSA are also investigated.

Applying CI in Biology through PSO

2020 ◽  
pp. 502-527
Author(s):  
Rojalina Priyadarshini ◽  
Nilamadhab Dash ◽  
Brojo Kishore Mishra ◽  
Rachita Misra
Keyword(s):  
Optimization Problems ◽  
Real Life ◽  
Population Based ◽  
Computing Methods ◽  
Future Research ◽  
Natural Systems ◽  
Solution Methods ◽  
Working Together ◽  
Future Research Directions ◽  
Population Based Algorithm

Conventional computing methods face challenges dealing with real world problems, which are characterised by noisy or incomplete data. To find solutions for such problems, natural systems have evolved over the years and on analysis it has been found these contain many simple elements when working together to solve real life complex problems. Swarm Intelligence (SI) is one of the techniques which is inspired by nature and is a population based algorithm motivated by the collective behaviour of a group of social insects. Particle swarm optimization (PSO) is one of the techniques belonging to this group, used to solve some optimization problems. This chapter will discuss some of the problems existing in computational biology, their contemporary solution methods followed by the use of PSO to address those problems. Along with this several applications of PSO are discussed in few of the relevant fields are discussed having some future research directions on this field.

A Conceptual Framework of Influencing Factors on International Entrepreneurial Capability in Emerging Markets

2016 ◽  
Vol 7 (2) ◽  
pp. 56-70
Author(s):  
Man Zhang ◽  
Jungsook Kwon ◽  
Qian Gao
Keyword(s):  
Emerging Markets ◽  
Institutional Environment ◽  
Future Research ◽  
Born Global ◽  
Information Communication ◽  
Research Directions ◽  
Entrepreneurial Opportunities ◽  
International Environment ◽  
Future Research Directions ◽  
Born Global Firms

The increasing economic importance of born global firms makes it worthwhile to study what leads to their success in the emerging markets. The institutional environment defines, reacts, and limits entrepreneurial opportunities, and also affects the speed and scope of entrepreneurial capability. Given the relatively low base of resource, these firms need to deploy some unique strategies such as utilizing information communication to survive in today's hostile and competitive international environment. Propositions regarding the relationships between institutional environment, international entrepreneurial capability, informal communication and their effect on the international performance were developed. Theoretical and managerial contribution and future research directions were also provided.

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