9 research outputs found

    The CSR-Firm Performance Missing Link: Complementarity Between Environmental, Social and Business Behavior Criteria?

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    This article analyses the complementarity between various dimensions of corporate social responsibility (CSR) and financial performance. We hypothesise that the absence of consensus in the empirical literature on the CSR-financial performance relationship may be explained by the existence of synergies (complementarity) and trade-offs (substitutability) between the different CSR components. We investigate such relationships using a sample of 595 firms from 15 European countries over the 2002-2007 period. The results suggest some kind of trade-offs between CSR components. Some CSR combinations appear as relative complements, human resources and business behaviour towards customers and suppliers, suggesting mutual benefits and less conflicts between those stakeholders. Conversely, environment and business behaviour towards customers and suppliers appear as relative substitutes, suggesting more conflict or over investment between such types of stakeholders

    Corporate social responsibility and Latin American firm performance

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    Purpose – The purpose of this paper is to analyse the impact of Corporate Social Responsibility (CSR) on firm performance in six Latin American economies. Firm performance comprises the following five distinct dimensions: firm turnover, labour productivity, innovativeness, product differentiation and technological transfer. The countries under scrutiny are Argentina, Bolivia, Chile, Colombia, Ecuador and Mexico. Design/methodology/approach – Propensity Score Matching techniques are employed to identify the causal effect of CSR on firm performance. To this end, the World Bank Enterprise Survey (2006 wave) is employed. This dataset collects relevant firm-level data Findings – CSR has a positive impact on the outcome variables analysed, suggesting that corporate goals are compatible with conscious business operations. The results also vary across countries. Research limitations/implications – The pattern that emerges from the analysis seems to suggest that the positive effects of CSR depend on a country’s stage of industrialisation. In particular, the less developed the economy, the wider the scope of CSR. Nonetheless, the relationship among conscious business operations, firm performance and countries’ levels of development is not directly tested in the present work. Practical implications – The main practical implication of the study is that Latin American firms should adopt CSR. This is because corporate responsible practices either improve firm performance or are not shown to have a detrimental effect. Social implications – The major policy implication is that emerging countries' governments as well as international organisations should provide meaningful incentives for CSR adoption. Originality/value – The paper makes three major original contributions. First, it furnishes new descriptive evidence on CSR practices in Latin America. Second, it employs a broader and novel definition of firm performance intended to capture business dynamics in developing countries, as well as to overcome data limitations. Finally, it reassesses and extends the empirical evidence on the impact of CSR on firm performance. Keywords - Corporate Social Responsibility, Firm Performance, Propensity Score Matching, Latin Americ

    The Physiology and Bioenergetics of Ultraendurance Mountain Bike Racing

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    Ultraendurance mountain bike racing is a relatively new sport and has received scant research attention. The practical difficulty of field-testing during competition has played a role in this dearth of knowledge. The purpose of this thesis was to investigate the physiology and bioenergetics of cross-country marathon (XCM) and 24 hour team relay (24XCT) mountain bike racing. Study One analysed the physiological characteristics of XCM competitors and compared them to data from studies in the literature for Olympic-distance cross-country (XCO) mountain bike competitors. The XCM participants had lower mean peak aerobic capacity (58.4 ± 6.3 mL•kg-1•min-1), greater body mass (72.8 ± 6.7 kg) and estimated percentage body fat (10.4 ± 2.4%) compared to values reported for XCO competitors in the literature. Stature (1.77 ± 6.0 m) and normalised peak power output (5.5 ± 0.7 W•kg-1) were comparable. These data suggest that specific physiological characteristics of XCM competitors differ from those of XCO competitors. Study Two quantified and described the exercise intensity during a XCM race by monitoring heart rate responses. The mean heart rate (150 ± 10 beats•min-1) for the duration of the race equated to 82 percent of maximum heart rate and did not differ significantly throughout the race (p = 0.33). The data indicated that the XCM race was of a high aerobic intensity. Prior to the competition the relationship between heart rate and O2peak for each participant was established during an incremental laboratory test. Energy expenditure was estimated by assigning 20.2 kJ to each litre of oxygen consumed. The mean rate of energy expenditure during the race was estimated to be 59.9 kJ•min-1. Furthermore, no anthropometric or physiological measures were correlated to race speed, indicating that other factors contribute to race performance. The third study was a laboratory-based investigation to determine whether physiological factors relevant to 24XCT racing change with time of day. On separate days participants cycled on an ergometer for 20 min at 82 percent of maximum heart rate at 06:00, 12:00, 18:00, and 00:00 h. Significant differences (p < 0.05) were observed for several physiological responses (heart rate, oxygen uptake, salivary cortisol concentrations and intra-aural temperature) but not for performance variables (power output and self-selected cadence). It was concluded that the laboratory protocol lacked ecological validity and that it was necessary to test within a race using authentic 24XCT competitors. In order to measure in-race performance, Study Four examined the agreement between a bottom-bracket ambulatory ergometer (Ergomo®Pro) and the criterion SRM power meter in a field-based setting. Analysis of absolute limits of agreement found that the Ergomo®Pro had a systematic bias (± random error) of 4.9 W (± 6.12). Based on tolerances recommended in the literature the unit was considered fit for purpose for measuring power output during 24XCT racing. Study Five was a multiple case-study design that examined the physiological and performance parameters of a team during a 24XCT race. It was reported that mean work-shift speed (18.3 ± 2.6 km•h-1), power output (219 ± 50.9 W) and cadence (64.1 ± 9.3 rpm) were variable between participants and between work-shifts. A commonality amongst the participants was an increase in speed during the final work-shift compared to the penultimate one. A decline in work-shift heart rate was observed throughout the race. For the majority of participants an increase in gross efficiency (1.7 ± 1.4 %) was reported from the penultimate to the final work-shift. It was concluded that pacing strategies were employed and that the improved efficiency was caused, in part, by an increased familiarity with the course during the race. Study Six examined the nutritional practices and energy expenditure of the same team during the same 24XCT race. Energy expenditure during the work-shifts was estimated in accordance with Study Two. Resting energy expenditure during the recovery periods was estimated using the Harris and Benedict formula (1919). Food and fluid consumption were determined via food diaries and hydration status was assessed by measuring the refractive index of urine. Energy consumption (17.3 ± 2.2 MJ) was considerably less than energy expenditure (30.4 ± 6.1 MJ) with the former accounting for only 57 percent of the latter. The energy cost during the work-shifts was estimated to be 74.5 kJ•min-1. Mean fluid intake (6.3 ± 0.9 L) for the 24 h was sufficient to maintain hydration status. Based on these studies an integrated model of the factors that influence ultraendurance mountain bike performance was developed. The domains that influence race speed are physiological factors, technical and tactical factors, and nutritional strategies. The sub domain that influences these is environmental factors. Collectively this information is of practical importance to sport scientists, coaches and athletes involved with designing nutritional and tactical preparation strategies and training programmes for this sport

    Trusted execution: applications and verification

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    Useful security properties arise from sealing data to specific units of code. Modern processors featuring Intel’s TXT and AMD’s SVM achieve this by a process of measured and trusted execution. Only code which has the correct measurement can access the data, and this code runs in an environment trusted from observation and interference. We discuss the history of attempts to provide security for hardware platforms, and review the literature in the field. We propose some applications which would benefit from use of trusted execution, and discuss functionality enabled by trusted execution. We present in more detail a novel variation on Diffie-Hellman key exchange which removes some reliance on random number generation. We present a modelling language with primitives for trusted execution, along with its semantics. We characterise an attacker who has access to all the capabilities of the hardware. In order to achieve automatic analysis of systems using trusted execution without attempting to search a potentially infinite state space, we define transformations that reduce the number of times the attacker needs to use trusted execution to a pre-determined bound. Given reasonable assumptions we prove the soundness of the transformation: no secrecy attacks are lost by applying it. We then describe using the StatVerif extensions to ProVerif to model the bounded invocations of trusted execution. We show the analysis of realistic systems, for which we provide case studies

    Portland Daily Press: February 7, 1901

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    https://digitalmaine.com/pdp_1901/1031/thumbnail.jp

    Supply Chain Management Sales Using XCSR

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    The Trading Agent Competition in its category Supply Chain Management (TAC SCM) is an international forum where teams construct agents that control a computer assembly company in a simulated environment. TAC SCM involves the following problems: to determine when to send offers, to determine final sales prices of offered goods and to plan factory and delivery schedules. The main goal of this work was to develop an agent called TicTACtoe, using Wilson’s XCSR classifier system to decide the final sales prices. We develop an adaptation to the classifier system, that we called blocking classifiers technique, which allows the use of XCSR in an environment with parallel learning. Our results show that XCSR learning allows generating a set of rules that solves the TAC SCM sales problem in a satisfactory way. Moreover, we found that the blocking mechanism improves the performance of the XCSR learning in an environment with parallel learning
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