The Usual Suspect: A History of Football Violence in the State of Israel

Rather than hooliganism per se, violence here is examined both in its totality and the extent to which the history of football violence in Israel has been subject to a fluctuating social, political and economic context. Initially, footballers were ‘the usual suspect’ as violence was often incited by the players on the pitch. For political reasons, the Israel Football Association (IFA) was practically helpless. Over time, violent incidents on the pitch decreased as a change in the pattern of violence took place. Due to an increasing commodification of Israeli football, players and spectators switched places. The crowd was now ‘the usual suspect’ and later, due to the Israeli–Palestinian conflict, ethnicity-nationality became the major trigger for violent actions in Israeli football.     

Agency,sociomateriality, and configuration work

Social informatics research offers insights into the relationship between information technologies and social contexts. However, the material roles of information technologies, and their interplay with the agentic work of social actors, have not been addressed. Drawing on a field study of 37 mobile knowledge workers, we examine the dual material roles (enabling and constraining) played by information technologies in their work practices. We also investigate how these workers exert agency by fashioning multiple information technologies into a functioning digital assemblage. Although information technologies provide consequential affordances that enable mobilization of work across spaces and times, they simultaneously present design-driven, local, organizational, and temporal technological constraints that require mobile knowledge workers to engage in “configuration work” to make information technologies function effectively. Building on a sociomaterial perspective, we further discuss the interplay of information technologies and work practices enacted by mobile knowledge workers, in which both human and technological agency are materialized.     

Prioritization of intellectual capital indicators in knowledge-based industries: Evidence from pharmaceutical industry

During the last decade, intellectual capital (IC) and intangible assets have been widely considered as critical tool to deliver successful business in an intensive-knowledge environment. Accordingly, the main goal of this paper is therefore to develop and prioritize the most important indicators of intellectual capital in knowledge-based industries. Based on an extensive literature review, a valid and reliable questionnaire was designed. In order to data gathering, it was sent out to participants from both academic and university who qualified well in pharmaceutical practice. In order to exact prioritization of indicators, fuzzy TOPSIS technique as a MADM model was used. The fuzzy TOPSIS results revealed participants remark high concerns especially about knowledge and skills of managers and employees regarding to human capital, high concerns particularly about positive climate, ratio of investment in R&D and numbers of R&D projects according to structural capital, while considering the relational capital, more attention was paid to customers and strategic cooperation such as alliances and licensing.     

FRP材料在桥梁工程中的应用前景展望

用以延长普通钢筋混凝土构件使用寿命的腐蚀控制措施不断失效,使人们对纤维增强聚合物(简称FRP)在既有结构的修补和修复,以及新建结构中的应用研究产生了极大兴趣.FRP材料的优点有抗电化学腐蚀性、高比强度、电绝缘性.现将对FRP材料在土木工程中的应用进程进行回顾,对FRP的应用前景作以前瞻,并将讨论FRP用于既有结构的修补.同时,还将介绍FRP应用于新建结构中,即作为原始承载构件、作为普通筋或者预应力筋用于混凝土构件中、作为混凝土的成型模板等几种应用型式.     

The aging psyche and the question of artistic change: An examination of one career

A long-time lover of music, I confess to having a bizarre penchant for trying to test my informally trained musical intelligence in situations which require quick recognition, be it a piece, a composer, a performer, or some such feature. In fact, this article originated with my failure to recognize a theretofore unfamiliar work and with the surprise I experienced upon learning it was Verdi's last opera,Falstaff, composed when he was nearly 80. For a listener familiar withLa Traviata orAida, it appeared quite strange and surprising. Moreover, as I found out later, the sense of puzzlement was not merely a matter of subjective impression but rather exemplified an overall stylistic departure in Verdi's late life work, its salient features being compression and urgency rather than spaciousness, flowing line, a pervasive use of biting irony compared to the straightforward lyricism of the earlier work, a retreat from psychological realism in favour of sketchy, abstract portrayals, an overall impatience with established operatic convention, and a symphonic rather than linear or melodic conception. Some of these characteristics have also been found in the late works of painters and sculptors (e.g., Arnheim, 1986; Clark, 1972; Munsterberg, 1983). Taken together these observations raised for me the issue of artistic change, an issue of considerable significance to the understanding of creative endeavour in general.     

Linear-constant log-map,a fast accurate algorithm for map decoding

This paper proposes a new approximation to be used for the correction function in the turbo decoding algorithm, called Linear-Constant-log Map. Max-log Map, Linear-log Map and Constant-log Map are the well known simplified versions of Jacobi-log Map (Maximum a Posteriori) algorithm already in use but they cannot meet a proper performance in term of output BER and clock consumption of the CPU decoding encoded bits. The proposed algorithm first breaks the correction function domain of the Jacobi logarithm to three subsections by determining the border points between these sections and then uses a linear function and two constant values as an approximation of this function. Using an AWGN channel model, simulation results show that the new algorithm is almost more than six times faster than Jacobi-log Map algorithm with a Bit Error Rate (BER) very close to it.     

Triggering effects of mobile video marketing in nature tourism: Media richness perspective

The aim of this study was to investigate videos as potential triggers of behavior. Therefore, we applied the theories of triggers and media richness to learn about the triggering efficiency of mobile marketing videos on participants’ behavioral intentions. The experiment involved three distinct test groups, each comprising 41 student participants. From the perspective of media richness theory, we observed that the different kinds of videos had quite similar effects in terms of triggering behavioral changes. However, the mechanisms explaining why triggers were present differed for each video. Further, the results reveal that the consumer's position in the information search process was the most significant reason for the triggering of any kind of effect. In addition, the instructionally designed videos were able to exert an affective triggering effect: the more participants liked the video, the more it affected their participation intention and recall scores. This study extends the media richness research by demonstrating that the effects of media richness can vary within technically similar videos, as they form different logical connections among non-verbal visual cues related to a video's storyline.     

Analysing intellectual capital management and growth based on dynamic modelling

The management of intellectual capital (IC) resources increases organizational value creation capacities. The aim of this study is to present an algorithm for analysing IC management with an emphasis on the recognition and modelling of growth mechanisms for strategic resources. Intensive interactions among different tangible and intangible assets turn organizations into complex systems of highly interrelated resources; therefore, a systems approach is adopted, and a causal loop diagram is used to model resource interaction feedback structures. The development and analysis of the resource interactions model is explained through a practical algorithm that reveals different dimensions of resource deployment, including the potential value of resources, utilization of resources in key business processes, and mechanisms responsible for the sustained growth of strategic resources. The proposed algorithm was used to examine a telecommunication company. We show that there are no growth mechanisms for certain strategic resources. To activate the growth of such strategic resources, several feedback loops are recognized and related initiatives are proposed.     

Extracting Latent Moral Information from Text Narratives: Relevance,Challenges, and Solutions

ABSTRACT

Moral Foundations Theory (MFT) and the Model of Intuitive Morality and Exemplars (MIME) contend that moral judgments are built on a universal set of basic moral intuitions. A large body of research has supported many of MFT’s and the MIME’s central hypotheses. Yet, an important prerequisite of this research—the ability to extract latent moral content represented in media stimuli with a reliable procedure—has not been systematically studied. In this article, we subject different extraction procedures to rigorous tests, underscore challenges by identifying a range of reliabilities, develop new reliability test and coding procedures employing computational methods, and provide solutions that maximize the reliability and validity of moral intuition extraction. In six content analytical studies, including a large crowd-based study, we demonstrate that: (1) traditional content analytical approaches lead to rather low reliabilities; (2) variation in coding reliabilities can be predicted by both text features and characteristics of the human coders; and (3) reliability is largely unaffected by the detail of coder training. We show that a coding task with simplified training and a coding technique that treats moral foundations as fast, spontaneous intuitions leads to acceptable inter-rater agreement, and potentially to more valid moral intuition extractions. While this study was motivated by issues related to MFT and MIME research, the methods and findings in this study have implications for extracting latent content from text narratives that go beyond moral information. Accordingly, we provide a tool for researchers interested in applying this new approach in their own work.