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1 – 10 of 352Andrew Green, John Tzilivakis, Douglas J. Warner and Kathleen Anne Lewis
The purpose of this paper is to examine the suitability of free carbon calculators aimed at the agricultural industry, for use in greenhouse gas (GHG) emission benchmarking, using…
Abstract
Purpose
The purpose of this paper is to examine the suitability of free carbon calculators aimed at the agricultural industry, for use in greenhouse gas (GHG) emission benchmarking, using the European dairy industry as an example.
Design/methodology/approach
Carbon calculators which were claimed to be applicable to European dairy farms were identified and tested using six production scenarios based on data from real European farms supplemented using published literature. The resulting GHG emission estimates, together with estimates apportioned using three functional units, were then compared to determine the robustness of the benchmarking results.
Findings
It was found that although there was a degree of agreement between the seven identified carbon calculators in terms of benchmarking total farm emissions, once a suitable functional unit was applied little agreement remained. Tools often ranked farms in different orders, thereby calling into question the robustness of benchmarking in the studied sector.
Research limitations/implications
The scenario-based approach taken has identified issues liable to result in a lack of benchmarking robustness within this sector; however, there remains considerable scope to evaluate these findings in the field, both within this sector and others in the agricultural industry.
Practical implications
The results suggest that there are significant hurdles to overcome if GHG emission benchmarking is to aid in driving forward the environmental performance of the dairy industry. In addition, eco-labelling foods based on GHG benchmarking may be of questionable value.
Originality/value
At a time when environmental benchmarking is of increasing importance, this paper seeks to evaluate its applicability to sectors in which there is considerable scope for variation in the results obtained.
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Douglas Warner, John Tzilivakis, Andrew Green and Kathleen Lewis
This paper aims to assess agri-environment (AE) scheme options on cultivated agricultural land in England for their impact on agricultural greenhouse gas (GHG) emissions. It…
Abstract
Purpose
This paper aims to assess agri-environment (AE) scheme options on cultivated agricultural land in England for their impact on agricultural greenhouse gas (GHG) emissions. It considers both absolute emissions reduction and reduction incorporating yield decrease and potential production displacement. Similarities with Ecological Focus Areas (EFAs) introduced in 2015 as part of the post-2014 Common Agricultural Policy reform, and their potential impact, are considered.
Design/methodology/approach
A life-cycle analysis approach derives GHG emissions for 18 key representative options. Meta-modelling is used to account for spatial environmental variables (annual precipitation, soil type and erosion risk), supplementing the Intergovernmental Panel on Climate Change methodology.
Findings
Most options achieve an absolute reduction in GHG emissions compared to an existing arable crop baseline but at the expense of removing land from production, risking production displacement. Soil and water protection options designed to reduce soil erosion and nitrate leaching decrease GHG emissions without loss of crop yield. Undersown spring cereals support decreased inputs and emissions per unit of crop yield. The most valuable AE options identified are included in the proposed EFAs, although lower priority is afforded to some.
Practical implications
Recommendations are made where applicable to modify option management prescriptions and to further reduce GHG emissions.
Originality/value
This research is relevant and of value to land managers and policy makers. A dichotomous key summarises AE option prioritisation and supports GHG mitigation on cultivated land in England. The results are also applicable to other European countries.
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John Tzilivakis, Kathleen Lewis, Andrew Green and Douglas Warner
In order to achieve reductions in greenhouse gas (GHG) emissions, it is essential that all industry sectors have the appropriate knowledge and tools to contribute. This includes…
Abstract
Purpose
In order to achieve reductions in greenhouse gas (GHG) emissions, it is essential that all industry sectors have the appropriate knowledge and tools to contribute. This includes agriculture, which is considered to contribute about a third of emissions globally. This paper reports on one such tool: IMPACCT: Integrated Management oPtions for Agricultural Climate Change miTigation. The paper aims to discuss these issues.
Design/methodology/approach
IMPACCT focuses on GHGs, carbon sequestration and associated mitigation options. However, it also attempts to include information on economic and other environmental impacts in order to provide a more holistic perspective. The model identifies mitigation options, likely economic impacts and any synergies and trade-offs with other environmental objectives. The model has been applied on 22 case study farms in seven Member States.
Findings
The tool presents some useful concepts for developing carbon calculators in the future. It has highlighted that calculators need to evolve from simply calculating emissions to identifying cost-effective and integrated emissions reduction options.
Practical implications
IMPACCT has potential to become an effective means of provided targeted guidance, as part of a broader knowledge transfer programme based on an integrated suite of guidance, tools and advice delivered via different media.
Originality/value
IMPACCT is a new model that demonstrates how to take a more integrated approach to mitigating GHGs on farms across Europe. It is a holistic carbon calculator that presents mitigation options in the context other environmental and economic objectives in the search for more sustainable methods of food production.
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Batkhuyag Ganbaatar, Khulan Myagmar and Evan J. Douglas
By examining the impact of product innovation on abnormal financial returns following the launch of new products, this study aims to test the explanatory power of a new compound…
Abstract
Purpose
By examining the impact of product innovation on abnormal financial returns following the launch of new products, this study aims to test the explanatory power of a new compound measure of product innovativeness (Ganbaatar and Douglas, 2019).
Design/methodology/approach
It is a longitudinal study in which the authors used the compound product innovativeness score (CPIS) for the first time to measure product innovativeness. The abnormal financial returns are estimated through the event study design, where four different models are used. Artificial neural network analysis is done to determine the impact of the CPIS on abnormal returns by utilising a hexic polynomial regression model.
Findings
The authors find effect sizes that substantially exceed practically significant levels and that the CPIS explain 65% of the variance in the firm’s abnormal returns in market valuation. Moreover, new-to-the-market novelty predicts 83% of the variation, while new-to-the-firm (catch-up) innovation insignificantly impacts firm value.
Research limitations/implications
This paper demonstrates how the CPIS, an objective and direct measure of product innovativeness, can be used to gain more insight into the innovation effect.
Practical implications
Implications for the business practice of this study include the necessity of relentless innovation by firms in contested differentiated markets, particularly where technological advance is ongoing. Larger and mature firms must practice corporate entrepreneurship to renew their products on a continuous basis to avoid slipping backwards in their markets. Innovation leadership, rather than following the leader, is also important to increase competitive advantage, given the result that innovation followship does not produce abnormal financial returns.
Originality/value
In this study, the authors focused on the effect of product innovativeness on firm performance. While the literature affirms a positive relationship between innovation and firm performance, the effect size of this relationship varies, due largely to the authors contend to simplistic measures of innovativeness. In this study, the authors adopt the relatively novel “compound” measure of product innovativeness (Ganbaatar and Douglas, 2019) to better encapsulate the nuances of both technical novelty and market novelty. This measure of product innovativeness is applicable to firms of all sizes but is more easily applied to entrepreneurial new ventures and SMEs, and it avoids the shortcomings of prior firm-level and subjective measures of innovativeness for both smaller and larger firms. Using a more effective analytical method (Artificial Neural Network), the authors investigated whether there is a “practically” significant effect size due to product innovation, which could be valuable for entrepreneurs in practice. The authors show that the CPIS measure can very effectively explain abnormalities in the stock market, exhibiting a moderate effect size and explaining 65% of the variation in abnormal returns.
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L. Melita Prati, Ceasar Douglas, Gerald R. Ferris, Anthony P. Ammeter and M. Ronald Buckley
Prati, Douglas, Ferris, Ammeter, and Buckley (2003) have proposed that emotional intelligence is a critical component in effective team leadership and team outcomes. John…
Abstract
Prati, Douglas, Ferris, Ammeter, and Buckley (2003) have proposed that emotional intelligence is a critical component in effective team leadership and team outcomes. John Antonakis (2003) questioned whether the first claim in this article, that emotional intelligence is critical for effective team leadership, is justified. He presents six questions that illuminate his reservations. In response, the present authors attempt to answer his reservations by clarifying and explicating the reasoning behind this claim.
Paul Harvey, James K. Summers and Mark J. Martinko
We review past research on the relationship between attributional perceptions, emotions, and workplace aggression and develop a conceptual model that extends this research in two…
Abstract
We review past research on the relationship between attributional perceptions, emotions, and workplace aggression and develop a conceptual model that extends this research in two ways. First, we consider the influence of controllability attributions on the type (otherdirected, self-directed, hostile, non-hostile) and likelihood of aggressive responses to negative workplace outcomes and situations. Second, we consider the extent to which discrete negative emotions might mediate these attribution-aggression relationships. Implications for anticipating and preventing workplace aggression based on this conceptual model are discussed.
The Management Committee meeting, due to be held on 18th December, has perforce had to be postponed until after the journal has gone to press, and will now take place early in…
Abstract
The Management Committee meeting, due to be held on 18th December, has perforce had to be postponed until after the journal has gone to press, and will now take place early in January. This is due to the sudden indisposition of Mr. Douglas Anderson, Vice‐Chairman of the Institute and Chairman of the Educational Sub‐Committee. Mr. Anderson is a key figure concerning the matters to be discussed at the meeting, particularly the Institute's Educational programme for 1980. Plans are now in hand so that if by any chance he is still unwell at the time the meeting is now due to be held, his views and all‐important advice on the major items of the agenda will be before Members at the appropriate time.
Since the first Volume of this Bibliography there has been an explosion of literature in all the main areas of business. The researcher and librarian have to be able to uncover…
Abstract
Since the first Volume of this Bibliography there has been an explosion of literature in all the main areas of business. The researcher and librarian have to be able to uncover specific articles devoted to certain topics. This Bibliography is designed to help. Volume III, in addition to the annotated list of articles as the two previous volumes, contains further features to help the reader. Each entry within has been indexed according to the Fifth Edition of the SCIMP/SCAMP Thesaurus and thus provides a full subject index to facilitate rapid information retrieval. Each article has its own unique number and this is used in both the subject and author index. The first Volume of the Bibliography covered seven journals published by MCB University Press. This Volume now indexes 25 journals, indicating the greater depth, coverage and expansion of the subject areas concerned.
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Douglas Russell and Racquel Warner
The concept of self-regulated learning (SRL) has become increasingly important in higher educational institutes seeking to provide students with a holistic education. It is…
Abstract
Purpose
The concept of self-regulated learning (SRL) has become increasingly important in higher educational institutes seeking to provide students with a holistic education. It is important for students entering, and faculty within higher education, to understand whether future time perspective (FTP) or self-efficacy is more predictive of self-regulation. The paper aims to discuss these issues.
Design/methodology/approach
Through the use convenience sampling, data were collected via an online survey from 130 undergraduate students attending universities in the United Arab Emirates (UAE). Data were analysed using regression analysis and inferential measures identifying themes in participants study habits in order to examine whether it is FTP or self-efficacy that more strongly predicts SRL behaviours.
Findings
Results suggest that self-efficacy is a much stronger predictor of SRL in undergraduate students than goal setting, as measured by FTP. Student’s most deficient SRL behaviours related to reading and comprehension of texts prescribed across modules.
Research limitations/implications
Due to the fact that only an adjusted 33 per cent of self-regulation was predicted by the two variables under consideration, researchers are encouraged to identify further variables that may predict students SRL.
Practical implications
This paper seeks to support both students and faculty in how to draw on SRL in order to optimize students’ success in higher education.
Originality/value
The current research supports the identification of learning behaviours specific to branch campuses in a Middle-Eastern context.
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In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of…
Abstract
In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.
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