Can nonstate militants professionalize? That is the core question of this piece. Discussions of professionalism have spread to the state military from civilian professions such as education, medicine, and law. This piece examines whether nonstate actors exhibit the same fundamental processes found within these state-based organizations. These fundamentals are the creation of a recognized internal ethos, which acts as a collective standard for those involved. A commitment to expertise and the punishment of those who do not reach these collective expectations reinforce this ethos. To answer this question, this piece examines the development of the Provisional Irish Republican Army (PIRA) during the Troubles. It highlights consistencies and inconsistencies with traditional forces and argues that groups like the PIRA can professionalize and increase their effectiveness in doing so. This widens the field of professionalism studies and provides an additional lens through which to examine nonstate groups.
Can nonstate militants professionalize? That is the core question of this piece. Discussions of professionalism have spread to the state military from civilian professions such as education, medicine, and law. This piece examines whether nonstate actors exhibit the same fundamental processes found within these state-based organizations. These fundamentals are the creation of a recognized internal ethos, which acts as a collective standard for those involved. A commitment to expertise and the punishment of those who do not reach these collective expectations reinforce this ethos. To answer this question, this piece examines the development of the Provisional Irish Republican Army (PIRA) during the Troubles. It highlights consistencies and inconsistencies with traditional forces and argues that groups like the PIRA can professionalize and increase their effectiveness in doing so. This widens the field of professionalism studies and provides an additional lens through which to examine nonstate groups.
PurposeThe purpose of this paper is to explore the development of a technology alliance for B2B marketplaces.Design/methodology/approachIn this paper there was a lack of rigorous empirical evidence in the area upon which to base this study, so an exploratory methodology chosen was deemed appropriate. An interpretative case study was undertaken in the Eutilia B2B marketplace. Data gathering took place over a three‐month period from July to September 2003. The data‐gathering techniques used were semi‐structured interviews and document analysis.FindingsThis paper draws upon research on co‐operative partnerships and strategic alliances to explore the applicability of technology alliances to business‐to‐business (B2B) electronic marketplaces. The paper explains a model developed by Eutilia, a leading B2B marketplace in the utilities sector, to justify such a technology alliance. The case study illustrates how Eutilia operationalised this model and entered a technology alliance with a competing B2B marketplace. The analysis shows how both marketplaces benefited from the technology‐alliance, and the paper concludes by proposing determinants of technology alliances for B2B electronic marketplaces.Research limitations/implicationsIn this paper a single case study was the method adopted, so findings may not be generalisable.Originality/valueThis paper illustrates how B2B electronic marketplaces can benefit from technology alliances. This paper is of interest to both academics and practitioners involved in B2B electronic marketplaces.
Previous research has highlighted the need to examine the appropriateness of existing information systems methods in the context of electronic business environments. This paper argues for a re‐examination of the suitability of current planning practices in light of the complexity of developing electronic business systems. In particular, the paper illustrates that planning and developing business‐to‐business electronic trading systems (ETS) is fraught with difficulties associated with the priorities and power of individual actors in participant organisations. The authors discuss triple loop learning (TLL), an approach that deals with diverse requirements and power issues, and argue that it may assist in overcoming some of the problems identified. The study aims to analyse the theoretical usefulness of the concepts of triple loop learning in the context of planning inter‐organisational ETS. Using the data gathered from case studies of three inter‐organisational networks, the authors argue that approaches associated with TLL can offer insight into managing inter‐organisational systems complexities, and can thereby enhance planning methods for ETS.
PurposeThis paper aims to explore the ways in which firms utilise hierarchical relationships and the market system to supply and acquire intellectual property (IP) and/or innovation capabilities from sources external to the firm.Design/methodology/approachThe authors conduct a field study to explore emerging governance structures for open innovation, using multiple data sources including documents (e.g. white papers) and interviews published by the firms studied, analysis of the firms' web‐based systems (where applicable), secondary content (e.g. news articles) and elite interviews with key personnel.FindingsThe analysis of seven exemplars of open innovation reveals that inter‐organisational relationships that facilitate open innovation can be categorised based on whether they are mediated or direct, and seek to exchange intellectual property or innovation capability. Using this categorisation, the authors present an analysis that reveals four governance structures along ten dimensions, and discuss the influence of knowledge dispersion, uncertainty and transaction costs on the emergence of such structures. The authors conclude that the appropriateness of hierarchical/market relationships or intermediaries to source IP and/or innovation capability is dependent on the information asymmetry in relation to the existence and availability of potential solutions/solvers; the suitability of potential innovation partners (solution providers and solvers); and the acquisition process for external innovations (including problem specification, solution evaluation, transfer, etc.).Research limitations/implicationsThe research is exploratory in nature, and designed to serve as a foundation for future research efforts. In particular, the work highlights the need for research that takes an inter‐organisational perspective on facilitating open innovation.Practical implicationsThe research highlights the prominence of information asymmetry as a key issue in choosing and designing appropriate governance structures for open innovation.Originality/valueThe paper presents an exploratory study of an emerging, and consequently under‐researched phenomenon.
Green plants (Viridiplantae) include around 450,000-500,000 species(1,2) of great diversity and have important roles in terrestrial and aquatic ecosystems. Here, as part of the One Thousand Plant Transcriptomes Initiative, we sequenced the vegetative transcriptomes of 1,124 species that span the diversity of plants in a broad sense (Archaeplastida), including green plants (Viridiplantae), glaucophytes (Glaucophyta) and red algae (Rhodophyta). Our analysis provides a robust phylogenomic framework for examining the evolution of green plants. Most inferred species relationships are well supported across multiple species tree and supermatrix analyses, but discordance among plastid and nuclear gene trees at a few important nodes highlights the complexity of plant genome evolution, including polyploidy, periods of rapid speciation, and extinction. Incomplete sorting of ancestral variation, polyploidization and massive expansions of gene families punctuate the evolutionary history of green plants. Notably, we find that large expansions of gene families preceded the origins of green plants, land plants and vascular plants, whereas whole-genome duplications are inferred to have occurred repeatedly throughout the evolution of flowering plants and ferns. The increasing availability of high-quality plant genome sequences and advances in functional genomics are enabling research on genome evolution across the green tree of life. ; Alberta Ministry of Advanced Education; Alberta Innovates AITF/iCORE Strategic Chair [RES0010334]; Musea Ventures; National Key Research and Development Program of China [2016YFE0122000]; Ministry of Science and Technology of the People's Republic of ChinaMinistry of Science and Technology, China [2015BAD04B01/2015BAD04B03]; State Key Laboratory of Agricultural Genomics [2011DQ782025]; Guangdong Provincial Key Laboratory of core collection of crop genetic resources research and application [2011A091000047]; Shenzhen Municipal Government of China [CXZZ20140421112021913/JCYJ20150529150409546/JCYJ20150529150505656]; National Science FoundationNational Science Foundation (NSF) [DBI-1265383, IOS 0922742, IOS-1339156, DEB 0830009, EF-0629817, EF-1550838, DEB 0733029, DBI 1062335, 1461364]; National Institutes of HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [1R01DA025197]; Deutsche ForschungsgemeinschaftGerman Research Foundation (DFG) [Qu 141/5-1, Qu 141/6-1, GR 3526/7-1, GR 3526/8-1]; Natural Sciences and Engineering Research Council of CanadaNatural Sciences and Engineering Research Council of Canada ; The 1KP initiative was funded by the Alberta Ministry of Advanced Education and Alberta Innovates AITF/iCORE Strategic Chair (RES0010334) to G.K.-S.W., Musea Ventures, The National Key Research and Development Program of China (2016YFE0122000), The Ministry of Science and Technology of the People's Republic of China (2015BAD04B01/2015BAD04B03), the State Key Laboratory of Agricultural Genomics (2011DQ782025) and the Guangdong Provincial Key Laboratory of core collection of crop genetic resources research and application (2011A091000047). Sequencing activities at BGI were also supported by the Shenzhen Municipal Government of China (CXZZ20140421112021913/JCYJ20150529150409546/JCYJ20150529150505656). Computation support was provided by the China National GeneBank (CNGB), the Texas Advanced Computing Center (TACC), WestGrid and Compute Canada; considerable support, including personnel, computational resources and data hosting, was also provided by the iPlant Collaborative (CyVerse) funded by the National Science Foundation (DBI-1265383), National Science Foundation grants IOS 0922742 (to C.W.d., P.S.S., D.E.S. and J.H.L.-M.), IOS-1339156 (to M.S.B.), DEB 0830009 (to J.H.L.-M., C.W.d., S.W.G. and D.W.S.), EF-0629817 (to S.W.G. and D.W.S.), EF-1550838 (to M.S.B.), DEB 0733029 (to T.W. and J.H.L.-M.), and DBI 1062335 and 1461364 (to T.W.), a National Institutes of Health Grant 1R01DA025197 (to T.M.K., C.W.d. and J.H.L.-M.), Deutsche Forschungsgemeinschaft grants Qu 141/5-1, Qu 141/6-1, GR 3526/7-1, GR 3526/8-1 (to M.Q. and I.G.) and a Natural Sciences and Engineering Research Council of Canada Discovery grant (to S.W.G.). We thank all national, state, provincial and regional resource management authorities, including those of province Nord and province Sud of New Caledonia, for permitting collections of material for this research. ; Public domain authored by a U.S. government employee