HOW NETWORK MANAGERS CONTRIBUTE TO INNOVATION NETWORK PERFORMANCE

2012 ◽  
Vol 16 (06) ◽  
pp. 1240009 ◽  
Author(s):  
JOHANNES LANDSPERGER ◽  
PATRICK SPIETH ◽  
SVEN HEIDENREICH
Keyword(s):  
Network Performance ◽  
Goal Achievement ◽  
Innovation Networks ◽  
Innovation Network ◽  
Business Networks ◽  
Conceptual Foundation ◽  
Joint Development ◽  
Network Manager ◽  
Management Functions ◽  
The Impact

Innovation networks that aim at the joint development of products, services or processes represent a particular form of inter-organizational business networks. In order to yield useful results from these collaborations, networks need to be managed thoroughly. By appointing a dedicated network manager to administrate, coordinate, and regulate, the management of tasks is bundled and centralized within a single entity. However, to the best knowledge of the authors, no empirical research has yet been conducted, investigating the impact of a network manager's availability, relevance, and influence on network performance. Using the interaction-oriented network approach as conceptual foundation, we analyze network managers' direct and indirect influence on the network's relational and goal achievement performance. Our results suggest that a network manager enhances innovation network's core management functions, which in turn improve the relational performance (RP). Moreover, RP was found to significantly drive the goal achievement performance (GAP).

Innovation network trajectories: the role of time and history

2015 ◽  
Vol 30 (3/4) ◽  
pp. 342-353 ◽  
Author(s):  
Doina Olaru ◽  
Sharon Purchase
Keyword(s):  
Network Performance ◽  
Developmental Process ◽  
Developmental Trajectories ◽  
Innovation Networks ◽  
Innovation Network ◽  
Business Networks ◽  
Cross Sectional ◽  
Content Type ◽  
Changes Over Time ◽  
Over Time

Purpose – This article aims to describe patterns of change in innovation networks and to clarify the roles of time and history in shaping network trajectories. The authors test seven predictor variables and their interactions to examine their influences on network performance over time. Design/methodology/approach – A fuzzy simulation of innovation networks and investigations of different network types, using two classes of growth modeling techniques, help refine understanding of innovation as an interactive, developmental process. Findings – Innovation network trajectories are influenced by self-reinforcing, contradictory and damaging forces. History affects network trajectory development, particularly with regard to financial resource access. The temporal processes reveal three contrasting classes of developmental trajectories for innovation networks. Research limitations/implications – The study methodology can account for theoretically derived factors leading to innovation, in and across types of networks and for changes over time; it moves beyond a cross-sectional approach. Although the model structure is generic, the parameters are based on a radical innovation, so the findings may not transfer directly. Practical implications – Managers in innovation business networks can use the identified variables to improve network performance, by facilitating processes that inject financial capital and integrating heterogeneous skills that focus on a wider variety of skills that generate both exploratory and exploitative knowledge development. Originality/value – This article contributes to discourses on network trajectories through an analysis of processes that influence the growth and decline of innovation business network performance. An original methodology generates and analyzes dynamic longitudinal network data.

scholarly journals Innovation Networks: A Tool for Food-Culture Preservation and Sustainability in the Era of Globalization

2019 ◽  
Vol 12 (1) ◽  
pp. 10
Author(s):  
Ibrahim Baghdadi
Keyword(s):  
Empirical Study ◽  
Local Food ◽  
Food Culture ◽  
Local Market ◽  
Innovation Networks ◽  
Innovation Network ◽  
Organizational Conditions ◽  
The Impact

The growing exposure to globalization, since 1990s, has initiated some significant alterations to the Lebanese economy, society, and culture. For the last two decades, it has been observed that international cuisines and eccentric menu items have been invading the local market and taking over ethnic and traditional cuisines, what threatens, if this trend continues, the identity of traditional cuisine and, consequently, the sustainability of local food culture. Departing from the case of Lebanon, this paper studies the impact of globalization on traditional cuisine and highlights the role of networks in sustaining local food culture. The findings of our empirical study revealed the necessity to modernize the traditional cuisine through a coordinated set of heterogeneous and professional actors who collectively take part in the process. The ability of these actors to innovate is found related to the organizational conditions of the networks to which they belong, and to the ability of these networks for innovation, what refers us to the concept of “innovation network” that we are proposing, through this study, as a solution to the dilemma of food - culture preservation and sustainability.

Investigating agent-based inter-organizational systems and business network performance

2017 ◽  
Vol 30 (2) ◽  
pp. 226-243 ◽  
Author(s):  
Meditya Wasesa ◽  
Andries Stam ◽  
Eric van Heck
Keyword(s):  
Performance Improvement ◽  
Network Performance ◽  
Information Architecture ◽  
Organizational Systems ◽  
Business Networks ◽  
Business Network ◽  
Coordination Structure ◽  
Content Type ◽  
Agent Based ◽  
The Impact

Purpose From the theoretical perspectives of both multi-agent systems and smart business networks, empirical studies analyzing agent-based inter-organizational systems (ABIOS) in a real-life business setting are rare. The purpose of this paper is to investigate the impact of ABIOS on the performance of business networks. Design/methodology/approach This study presents a theoretical conceptual model portraying the influence of ABIOS on clients’ coordination structure and information architecture; and the impact of those structural alterations on business network performance in terms of the coordination, agility, and informational performances. To validate the model, a cross-case analysis was conducted in three logistics cases, namely, warehousing, freight forwarding, and intermodal transportation. Findings The application of ABIOS requires adjustments to the information architecture or the coordination structure, or both. Subsequently, those structural adjustments will stimulate improvements in the coordination, agility, and informational performances. Research limitations/implications The assessment of the clients’ performance improvement is done at the company level not at an aggregate network level. Moreover, the study only covers cases from the logistics sector. Practical implications This study explains the structural consequences of ABIOS applications. The adoption of an inter-organizational system is a strategic decision that requires support from multi-stakeholders. While the applications of ABIOS can offer performance improvement opportunities, adjustments must be made to the existing coordination structure or the information architecture, or both. Originality/value This study contributes to the smart business network literature and the ABIOS literature by presenting a validated conceptual model explaining the interplay among ABIOS, the coordination structure, informational structure, and business network performance, namely, the coordination, agility, and informational performances.

MANAGING INNOVATION NETWORKS IN THE INDUSTRIAL GOODS SECTOR

2011 ◽  
Vol 15 (06) ◽  
pp. 1209-1241 ◽  
Author(s):  
JOHANNES LANDSPERGER ◽  
PATRICK SPIETH
Keyword(s):  
Resource Allocation ◽  
Network Management ◽  
New Product Development ◽  
New Product ◽  
Innovation Networks ◽  
Innovation Network ◽  
Network Approach ◽  
Network Stability ◽  
Management Functions ◽  
Balanced Network

Inter-firm networking can facilitate new product development but "[…] it is not a panacea for success" (Harris et al., 2000:229). This article is not concerned with the potential of in-house innovations but tries to reinforce network innovation as a worthy alternative, if managed appropriately. Our research includes the spread of the interaction oriented network approach to innovation literature. Relying on this literature, we hypothesize that balanced network management enhances network retention by facilitating partner selection, resource allocation, regulation, and network evaluation. Balanced network management thereby increases the network retention of the innovation network participants. Our empirical results support our hypotheses. These findings imply that balanced network management affects innovation network retention. For this reason, innovation literature should include a detailed investigation of the four network management functions' effects on innovation network success figures, such as network retention. Assessing network stability and social interaction within innovation networks might allow a better understanding of underlying retention mechanisms in the innovation network context.

scholarly journals The Impact of the Preferential Attachment Level on the Innovation Network Structure and Innovation Efficiency

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lei Hua ◽  
Zhong Yang ◽  
Jiyou Shao ◽  
Dan Jin
Keyword(s):  
Lower Cost ◽  
Preferential Attachment ◽  
Low Cost ◽  
Innovation Networks ◽  
Innovation Network ◽  
Simulation Process ◽  
The Impact ◽  
Attachment Level ◽  
Form Star ◽  
Chain Type

In the formation process of innovation networks, the level of preferential attachment between agents has an important impact on the resulting structural and functional characteristics of a network. A simulation model of innovation networks with variable preferential levels of attachment is established to study these impacts. Negative preferences tend to form chain-type structures, while positive preferences tend to form star-type structures. Furthermore, a simulation process of innovation is added to the network model to test the impact of the resulting structures on innovation efficiency. For explorative innovation, the structure with unbiased preference has the fastest innovation speed, but the structures with strong positive preference show lower innovation costs. For exploitive innovation, strong negative preferences generate the fastest innovation speed and relatively low cost, while strong positive preferences show a slightly lower cost than negative preference structures but a much lower innovation speed. Finally, some internal mechanisms of the results are discussed.

scholarly journals HTPC: heterogeneous traffic-aware partition coding for random packet spraying in data center networks

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Jiawei Huang ◽  
Shiqi Wang ◽  
Shuping Li ◽  
Shaojun Zou ◽  
Jinbin Hu ◽  
...  
Keyword(s):  
Data Center ◽  
Large Scale ◽  
Network Performance ◽  
Rooted Tree ◽  
Heterogeneous Traffic ◽  
Data Center Networks ◽  
Packet Reordering ◽  
Traffic Characteristics ◽  
Network Utilization ◽  
The Impact

AbstractModern data center networks typically adopt multi-rooted tree topologies such leaf-spine and fat-tree to provide high bisection bandwidth. Load balancing is critical to achieve low latency and high throughput. Although the per-packet schemes such as Random Packet Spraying (RPS) can achieve high network utilization and near-optimal tail latency in symmetric topologies, they are prone to cause significant packet reordering and degrade the network performance. Moreover, some coding-based schemes are proposed to alleviate the problem of packet reordering and loss. Unfortunately, these schemes ignore the traffic characteristics of data center network and cannot achieve good network performance. In this paper, we propose a Heterogeneous Traffic-aware Partition Coding named HTPC to eliminate the impact of packet reordering and improve the performance of short and long flows. HTPC smoothly adjusts the number of redundant packets based on the multi-path congestion information and the traffic characteristics so that the tailing probability of short flows and the timeout probability of long flows can be reduced. Through a series of large-scale NS2 simulations, we demonstrate that HTPC reduces average flow completion time by up to 60% compared with the state-of-the-art mechanisms.

scholarly journals Time Granularity Impact on Propagation of Disruptions in a System-of-Systems Simulation of Infrastructure and Business Networks

2021 ◽  
Vol 18 (8) ◽  
pp. 3922
Author(s):  
Mateusz Iwo Dubaniowski ◽  
Hans Rudolf Heinimann
Keyword(s):  
Recovery Time ◽  
System Of Systems ◽  
Future Research ◽  
Business Networks ◽  
Simulation Experiments ◽  
Huge Impact ◽  
High Level ◽  
Systems Simulation ◽  
Different Characteristics ◽  
The Impact

A system-of-systems (SoS) approach is often used for simulating disruptions to business and infrastructure system networks allowing for integration of several models into one simulation. However, the integration is frequently challenging as each system is designed individually with different characteristics, such as time granularity. Understanding the impact of time granularity on propagation of disruptions between businesses and infrastructure systems and finding the appropriate granularity for the SoS simulation remain as major challenges. To tackle these, we explore how time granularity, recovery time, and disruption size affect the propagation of disruptions between constituent systems of an SoS simulation. To address this issue, we developed a high level architecture (HLA) simulation of three networks and performed a series of simulation experiments. Our results revealed that time granularity and especially recovery time have huge impact on propagation of disruptions. Consequently, we developed a model for selecting an appropriate time granularity for an SoS simulation based on expected recovery time. Our simulation experiments show that time granularity should be less than 1.13 of expected recovery time. We identified some areas for future research centered around extending the experimental factors space.

A Optimization Traffic Grooming Algorithm Based on Bidirectional SONET Ring Topology Network

2015 ◽  
Vol 727-728 ◽  
pp. 996-999 ◽  
Author(s):  
Su Xia Cui
Keyword(s):  
Resource Utilization ◽  
Network Performance ◽  
Minimum Weight ◽  
Routing Algorithm ◽  
Traffic Grooming ◽  
Network Routing ◽  
Ring Network ◽  
Network Resource ◽  
Blocking Rate ◽  
The Impact

The issue of WDM network traffic grooming has been a hot in the field of research. The implementation of traffic grooming technology can improve the utilization of wavelength channels, reducing the link delay and the blocking rate of the network, which to improve network resource utilization and optimize network performance. This article mainly studies all-optical network routing algorithm utilizing WDM technology to achieve the dynamic traffic grooming and propose a optimization grooming policy -HaffmanGroom (M) algorithms which based on SONET / WDM ring network. The most important feature of this algorithm is that the SONET / WDM ring network of multiple multicast request packet , with a minimum weight of the light path priority selection method, the flow of requests each group effectively optimize ease . The algorithm takes into account the impact of the link request factor and link hops to optimize the link selection. The simulation results show that under the conditions of factors and the number of hop a request fully consider the impact of these two factors to the link, and can achieve optimal link with the smallest weights for effective data transmission, improving resource utilization, reducing blocking rate in order to achieve the purpose of optimizing network performance.

scholarly journals Performance Analysis of Wireless Local Area Network for a High-/Low-Priority Traffic Ratio at Different Numbers of Access Categories

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 693
Author(s):  
Kvitoslava Obelovska ◽  
Olga Panova ◽  
Vincent Karovič
Keyword(s):  
Network Performance ◽  
Wireless Local Area Network ◽  
Local Area Network ◽  
Local Area ◽  
Area Network ◽  
Large Network ◽  
Medium Access ◽  
Massive Growth ◽  
Adaptive Adjustment ◽  
The Impact

The performance of Wireless Local Area Network (WLAN) is highly dependent on the processes that are implemented in the Medium Access Control (MAC) sublayer regulated by the IEEE 802.11 standard. In turn, various parameters affect the performance of the MAC sublayer, the most important of which is the number of stations in the network and the offered load. With the massive growth of multimedia traffic, research of the network performance depending on traffic types is relevant. In this paper, we present the impact of a high-/low-priority traffic ratio on WLAN performance with different numbers of access categories. The simulation results show different impact of high-/low-priority traffic ratio on the performance of the MAC sublayer of wireless LANs depending on different network-sizes and on network conditions. Performance of the large network with two access categories and with the prevalent high-priority traffic is significantly higher than in the case of using four categories on the MAC sublayer. This allows us to conclude that the performance improvement of the large network with the prevalent high-priority traffic can be achieved by an adaptive adjustment of the access categories number on the MAC sublayer.

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