Diffusing knowledge-based core competencies for leveraging innovation strategies: modelling outsourcing to knowledge process organizations (KPOs) in pharmaceutical networks

As pharmaceutical firms try to market their products and reduce costs, vertically integrated structureshamper innovation processes. Yet, pharmaceutical firms must innovate to compete. Outsourcing knowledgeintensive activities to knowledge process organizations (KPOs) serves to reduce innovation process obstacles.Grounded in diffusion theory and strategic management literature, this conceptual paper explores fourinterrelated strategic concepts: core competencies, economies of scale and scope, knowledge sharing,and learning. This paper claims that (a) accumulated core competencies of multinational pharmaceuticalcompanies (MPCs) erode over time and these companies become dependent on KPOs (b) MPCs mustunderstand how KPOs manage core competencies (c) economies of scope benefit KPOs enabling them tosustain competitive advantages for their MPC partners, meanwhile the benefits from economies of both scaleand scope shift from MPCs to KPOs (d) KPOs need to monitor their rate of learning to remain competitive.The paper identifies implications for industrial managers and directions for future research.

Toward Omics-Based, Systems Biomedicine, and Path and Drug Discovery Methodologies for Depression-Inflammation Research.

Meta-analyses confirm that depression is accompanied by signs of inflammation including increased levels of acute phase proteins, e.g., C-reactive protein, and pro-inflammatory cytokines, e.g., interleukin-6. Supporting the translational significance of this, a meta-analysis showed that anti-inflammatory drugs may have antidepressant effects. Here, we argue that inflammation and depression research needs to get onto a new track. Firstly, the choice of inflammatory biomarkers in depression research was often too selective and did not consider the broader pathways. Secondly, although mild inflammatory responses are present in depression, other immune-related pathways cannot be disregarded as new drug targets, e.g., activation of cell-mediated immunity, oxidative and nitrosative stress (O&NS) pathways, autoimmune responses, bacterial translocation, and activation of the toll-like receptor and neuroprogressive pathways. Thirdly, anti-inflammatory treatments are sometimes used without full understanding of their effects on the broader pathways underpinning depression. Since many of the activated immune-inflammatory pathways in depression actually confer protection against an overzealous inflammatory response, targeting these pathways may result in unpredictable and unwanted results. Furthermore, this paper discusses the required improvements in research strategy, i.e., path and drug discovery processes, omics-based techniques, and systems biomedicine methodologies. Firstly, novel methods should be employed to examine the intracellular networks that control and modulate the immune, O&NS and neuroprogressive pathways using omics-based assays, including genomics, transcriptomics, proteomics, metabolomics, epigenomics, immunoproteomics and metagenomics. Secondly, systems biomedicine analyses are essential to unravel the complex interactions between these cellular networks, pathways, and the multifactorial trigger factors and to delineate new drug targets in the cellular networks or pathways. Drug discovery processes should delineate new drugs targeting the intracellular networks and immune-related pathways.

Oncology service initiatives and research in regional Australia

OBJECTIVE: This paper reflects on the recent growth of cancer research being conducted through some of Australia's rural centres. It encompasses work being done across the fields of clinical, translational and health services research. DESIGN: This is a collaborative piece with contributions from rural health researchers, clinical and cancer services staff from several different regions. CONCLUSION: The past decade has seen an expansion in cancer research in rural and regional Australia driven in part by the recognition that cancer patients in remote areas experience poorer outcomes than their metropolitan counterparts. This work has led to the development of more effective cancer networks and new models of care designed to meet the particular needs of the rural cancer patient. It is hoped that the growth of cancer research in regional centres will, in time, reduce the disparity between rural and urban communities and improve outcomes for cancer patients across both populations.

A university-based clinical exercise facility that serves as a clinical, teaching and research space

Deakin University opened its Clinical Exercise Learning Centre (CELC) in May 2011, initially staffed by four (now seven) Accredited Exercise Physiologists (AEP), and funded by the university. The main objectives of CELC are to provide (i) excellent clinical practicum learning opportunities for postgraduate students enrolled in the Master of Clinical Exercise Physiology that prepare students for subsequent external placements; (ii) learning opportunities that are vertically integrated with the preparatory components of the Masters, including pathophysiology units and pre-clinical units; (iii) learning opportunities that are also integrated with the external clinical practicum program that is embedded in the Masters; (iv) a clinical service to the community and strong referral networks with local GPs; (v) a research centre that is focussed on evaluating the efficacy of Accredited Exercise Physiology (AEP) services for a range of clinical situations, with a view to contributing to a future national evidence-based practice network supported by ESSA. Deakin University funds the CELC facility, equipment, consumables, limited car parking, practice management software and server and, most importantly, the staff. Therefore CELC runs at a loss even against fees charged and this was built into the original model. Staff include an AEP clinical practicum coordinator, two casual AEPs and several academic AEPs; the latter practise as a small part of their approved workloads. The practice model is for all AEPs to provide clinical services with referred clients who are billed as if CELC is a private practice, whilst concurrently teaching and mentoring students; the latter are expected to be active learners in CELC and have exposure to a wide range of pathologies and clinical situations. Billable hours are always provided by AEPs, not students, but students can assist. CELC provides clinical services 1:1:1 (client: AEP: student), 1:1:5 and 8:1:5. CELC was awarded national runner-up in the ESSA Exercise Physiology clinic of the year in 2011 and has grown its caseload to > 200 referrers in 2013. CELC recently designed a generic research platform and has begun to roll out research projects that are designed to translate 'traditional' research-based evidence of exercise benefits for chronic disease in order to evaluate AEP efficacy of practice in the Australian context. CELC provides a model for other universities, provided those universities see it for its learning value, and not to generate revenue or profit.

Energy minimization in multi-task software-defined sensor networks

Abstract—
After a decade of extensive research on application-specific wireless sensor networks (WSNs), the recent development of information and communication technologies makes it practical to realize the software-defined sensor networks (SDSNs), which are able to adapt to various application requirements and to fully explore the resources of WSNs. A sensor node in SDSN is able to conduct multiple tasks with different sensing targets simultaneously. A given sensing task usually involves multiple sensors to achieve a certain quality-of-sensing, e.g., coverage ratio. It is significant to design an energy-efficient sensor scheduling and management strategy with guaranteed quality-of-sensing for all tasks. To this end, three issues are investigated in this paper: 1) the subset of sensor nodes that shall be activated, i.e., sensor activation, 2) the task that each sensor node shall be assigned, i.e., task mapping, and 3) the sampling rate on a sensor for a target, i.e., sensing scheduling. They are jointly considered and formulated as a mixed-integer with quadratic constraints programming (MIQP) problem, which is then reformulated into a mixed-integer linear programming (MILP) formulation with low computation complexity via linearization. To deal with dynamic events such as sensor node participation and departure, during SDSN operations, an efficient online algorithm using local optimization is developed. Simulation results show that our proposed online algorithm approaches the globally optimized network energy efficiency with much lower rescheduling time and control overhead.

Experiences in developing a micro-payment system for peer-to-peer networks

Micro-payment systems are an important part of peer-to-peer (P2P) networks and address the "free-rider" problem in most existing content sharing systems. To address this issue, the authors have developed a new micro-payment system for content sharing in P2P networks called P2P-Netpay. This is an offline, debit based protocol that provides a secure, flexible, usable and reliable credit service. This article compares micro-payment with non-micro-payment credit systems for file sharing applications and finds that this approach liberates the "free-rider" problem. The authors analyse the heuristic evaluation performed by a set of evaluators and present directions for research aiming to improve the overall satisfaction and efficiency of the proposed model.

Informal social networks within and between organisations: on the properties of interpersonal ties and trust

Purpose

– The purpose of this paper is to explore the underlying relational properties of security networks by focusing specifically on the relationship between formal and informal ties, and interpersonal and inter-organisational trust.

Design/methodology/approach

– The research is based on 20 qualitative interviews with senior members of police and security agencies across the field of counter-terrorism in Australia.

Findings

– The findings suggest that the underlying relational properties of security networks are highly complex, making it difficult to distinguish between formal and informal ties, interpersonal and inter-organisational trust. The findings also address the importance of informal ties and interpersonal trust for the functioning of organisational security networks.

Research limitations/implications

– The research is exploratory in nature and extends to a number of organisational security networks in the field of counter-terrorism in Australia. While it is anticipated that the findings will be relevant in a variety of contexts, further research is required to advance our knowledge of the implications and properties of informal social networks within defined network boundaries.

Practical implications

– The findings suggest that the functioning of security networks is likely to be highly dependent on the underlying social relationships between network members. This has practical implications for those responsible for designing and managing security networks.

Originality/value

– The paper calls attention to a very understudied topic by focusing on the dynamics of informal ties and interpersonal trust within organisational security networks.

A review of security protocols in mHealth Wireless Body Area Networks (WBAN)

The popularity of smartphones has led to an increasing demand for health apps. As a result, the healthcare industry is embracing mobile technology and the security of mHealth is essential in protecting patient’s user data and WBAN in a clinical setting. Breaches of security can potentially be life-threatening as someone with malicious intentions could misuse mHealth devices and user information. In this article, threats to security for mHealth networks are discussed in a layered approach addressing gaps in this emerging field of research. Suite B and Suite E, which are utilized in many security systems, including in mHealth applications, are also discussed. In this paper, the support for mHealth security will follow two approaches; protecting patient-centric systems and associated link technologies. Therefore this article is focused on the security provisioning of the communication path between the patient terminal (PT; e.g., sensors) and the monitoring devices (e.g., smartphone, data-collector).

Temporal analysis of tourism research collaboration network

Network analysis is an effective tool for the study of collaboration relationships among researchers. Collaboration networks constructed from previous studies, and their changes over time have been studied. However, the impact of individual researchers in collaboration networks has not been investigated systematically. We introduce a new method of measuring the contribution of researchers to the connectivity of collaboration networks and evaluate the importance of researchers by considering both contribution and productivity. Betweenness centrality is found to be better than degree centrality in terms of reflecting the changes of importance of researchers. Accordingly, a method is further proposed to identify key researchers at certain periods. The performance of the identified researchers demonstrates the effectiveness of the proposed method.

Farmers groups within extension networks in Northern Uganda : inclusive or exclusive?

Group extension methods are widely recognized as the most effective extension method in agricultural development internationally. Research in this area tends to look at group function, and factors that inhibit or promote successful group activity. Most development projects start with an analysis of whether groups exist or may need to be formed, and then focus on group function. However, very little research to date has considered the farmer group from a whole community context, when assessing knowledge and information dissemination in rural areas. This paper presents and discusses research finding from a case study with three communities in Gulu district of Northern Uganda, where household surveys were used to map networks within andbetween community members and external organizations identified as promoting agricultural development in the region. The potential impact of inclusion or exclusion in such a group within small communities emerged as a significant issue, as well as the strong disconnect between community and external organizational perceptions of group existence, function and impact.

An alternative data collection scheduling scheme in wireless sensor networks

Despite significant advancements in wireless sensor networks (WSNs), energy conservation remains one of the most important research challenges. Recently, the problem of energy conservation has been addressed by applying mobile sink as an effective technique that can enhance efficiency of energy consumption in the networks. In this paper, the energy conservation problem is firstly formulated to maximize the lifetime of WSN subject to delay and node energy constraints. Then, to solve the defined energy conservation problem, a data collection scheduling with a mobile sink scheme is proposed. In the proposed approach, the sink movement is governed by a type-2 fuzzy controller to be located at the best location and time to collect sensory data. We conducted extensive experiments to study the effectiveness of the proposed protocol and compared it against the streaming data delivery (SDD) and virtual circle combined straight routing (VCCS) protocols. We observed that the proposed protocol outperforms both SDD and VCCS approaches by reducing energy consumption, minimize delays and enhance data collection quality.

The relation between local and global influence of individuals in scale-free networks

Large-degree nodes in scale-free networks are normally responsible for large cascades of epidemics. However, recent research shows small-degree nodes can also produce large-scale epidemics in the real world. In this letter, we investigate the relation between local and global influence of individuals in scale-free network in order to theoretically explain this real-world phenomenon. The local influence of an individual corresponds to the node degree, and the global influence of an individual reflects the expected number of individuals directly or indirectly influenced by this individual in epidemics. We formalize the later as the novel epidemic betweenness concept, to mathematically estimate the global influence of individuals. Our analysis shows that the global influence follows power-law distributions in scale-free networks. We also observe that the average global influence of individuals is power-law to the degree of nodes, which well explains the reason why large-degree nodes are more likely to produce large cascades of epidemics. In addition, we discover that some smalldegree nodes also possess large global influence in terms of epidemics betweenness. This well explains the counter-intuitive phenomenon in recent research.

Delay tolerant networks

The delay-tolerant networks (DTNs) are emerging research topics that have attracted keen research efforts from both academia and industry. Different from the traditional communication networks, DTNs consider an extreme network condition where a complete end-to-end path between the data source and destination may not exist, and the network is subject to dynamic node connections and unstable topologies. With the above features, DTNs find broad applications in the situations where legacynetworks cannot work effectively, such as data communications in rural areas, where stable communications infrastructure is not available or costly, and crucial areas, e.g., disaster rescue and battlefield communications. To summarize, the DTNs, as an important technology complementary to traditional networkings, can be widely applied to national welfare and the people’s livelihood.

Complex network theoretical analysis on information dissemination over vehicular networks

How to enhance the communication efficiency and quality on vehicular networks is one critical important issue. While with the larger and larger scale of vehicular networks in dense cities, the real-world datasets show that the vehicular networks essentially belong to the complex network model. Meanwhile, the extensive research on complex networks has shown that the complex network theory can both provide an accurate network illustration model and further make great contributions to the network design, optimization and management. In this paper, we start with analyzing characteristics of a taxi GPS dataset and then establishing the vehicular-to-infrastructure, vehicle-to-vehicle and the hybrid communication model, respectively. Moreover, we propose a clustering algorithm for station selection, a traffic allocation optimization model and an information source selection model based on the communication performances and complex network theory.