States that the financial services industry application of mainstream strategy literature gives ample consideration to an organization’s task and technical environment. Points…
Abstract
States that the financial services industry application of mainstream strategy literature gives ample consideration to an organization’s task and technical environment. Points out, however, that this level of analysis does not deal explicitly with the larger “institutional” context, within which an organization is embedded. Using the Canadian banking industry as an exemplar of a highly institutionalized financial services industry, demonstrates the utility of institutional theory in understanding the origins, nature and dynamics of powerful institutional pressures of conformity. Calls this conformist strategy “mismanagement”.
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To provide a conceptual framework and case study of organizational conformity and contrarianism that will be of interest and utility to both corporate governance theorists and…
Abstract
Purpose
To provide a conceptual framework and case study of organizational conformity and contrarianism that will be of interest and utility to both corporate governance theorists and practitioners.
Design/methodology/approach
The paper presents a conceptual framework that examines the risk of risk management systems. The framework is rooted in the logics of economics and sociology, and describes the interplay of eco‐logics, socio‐logics and ideo‐logics in creating organizational conformity and contrarianism. Data from a comprehensive report by the Australian Prudential Regulation Authority presented in 2004 are used to illustrate how the framework might be applied to explain the breakdown in risk management systems within a large organization, the National Australia Bank.
Findings
The framework presented helps to explain the de‐coupling of technical rationality by examining and illustrating cognitive and normative mechanisms that build legitimacy and reduce uncertainty. This leads to an illusory sense of control that can threaten the survival of an organization.
Research limitations/implications
Illustrative data are principally drawn from a comprehensive analysis by an Australian Government bank regulator. A general descriptive conceptual framework is presented.
Practical implications
This conceptual framework and case study will be of particular interest and importance to risk managers/governors within large financial service organizations and academics. An awareness of the different logics facing risk governors and risk takers within a large organization is another step towards understanding and possibly avoiding financial service industry mismanagement.
Originality/value
The paper presents a unique synthesis of three logics within a financial services organization. It is original because it links a recent real world management meltdown with a conceptual framework that examines the social risk of risk management systems and the dialogue between organizational conformity and contrarianism. The illustrative data presented is also very rare, since the subject organization has exceptionally made a highly confidential document public.
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Daniel Totouom and Margaret Armstrong
We have developed a new family of Archimedean copula processes for modeling the dynamic dependence between default times in a large portfolio of names and for pricing synthetic…
Abstract
We have developed a new family of Archimedean copula processes for modeling the dynamic dependence between default times in a large portfolio of names and for pricing synthetic CDO tranches. After presenting a general procedure for constructing these processes, we focus on a specific one with lower tail dependence as in the Clayton copula. Using CDS data as on July 2005, we show that the base correlations given by this model at the standard detachment points are very similar to those quoted in the market for a maturity of 5 years.
Investigates the differences in protocols between arbitral tribunals and courts, with particular emphasis on US, Greek and English law. Gives examples of each country and its way…
Abstract
Investigates the differences in protocols between arbitral tribunals and courts, with particular emphasis on US, Greek and English law. Gives examples of each country and its way of using the law in specific circumstances, and shows the variations therein. Sums up that arbitration is much the better way to gok as it avoids delays and expenses, plus the vexation/frustration of normal litigation. Concludes that the US and Greek constitutions and common law tradition in England appear to allow involved parties to choose their own judge, who can thus be an arbitrator. Discusses e‐commerce and speculates on this for the future.
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Donald R. Fraser, John C. Groth and Steven S. Byers
This paper examines and updates an earlier study of the liquidity of an extensive array of common stocks traded on NYSE/ASE/NML‐NASDAQ. It reports apparent variances in liquidity…
Abstract
This paper examines and updates an earlier study of the liquidity of an extensive array of common stocks traded on NYSE/ASE/NML‐NASDAQ. It reports apparent variances in liquidity due to trading location and other variables. The paper suggests causes for these differences.
Tessa Withorn, Carolyn Caffrey, Joanna Messer Kimmitt, Jillian Eslami, Anthony Andora, Maggie Clarke, Nicole Patch, Karla Salinas Guajardo and Syann Lunsford
This paper aims to present recently published resources on library instruction and information literacy providing an introductory overview and a selected annotated bibliography of…
Abstract
Purpose
This paper aims to present recently published resources on library instruction and information literacy providing an introductory overview and a selected annotated bibliography of publications covering all library types.
Design/methodology/approach
This paper introduces and annotates English-language periodical articles, monographs, dissertations, reports and other materials on library instruction and information literacy published in 2018.
Findings
The paper provides a brief description of all 422 sources, and highlights sources that contain unique or significant scholarly contributions.
Originality/value
The information may be used by librarians and anyone interested as a quick reference to literature on library instruction and information literacy.
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Amiri Mdoe Amiri, Bijay Prasad Kushwaha and Rajkumar Singh
The purpose of this research is to undertake a bibliometric analysis of digital marketing research in small and medium enterprises (SMEs). The study examines papers over the last…
Abstract
Purpose
The purpose of this research is to undertake a bibliometric analysis of digital marketing research in small and medium enterprises (SMEs). The study examines papers over the last two decades and performed performance analysis, co-citation analysis, bibliographic coupling and scientific mapping.
Design/methodology/approach
The study examines 247 documents retrieved from the Scopus database using bibliometric analysis, performance analysis and thematic clustering. The study looked at the scientific productivity of papers, prolific authors, most influencing papers, institutions and nations, keyword co-occurrence, thematic mapping, co-citations and authorship and country collaborations. VOSviewer was employed as a tool in the research to conduct the performance analysis and thematic clustering.
Findings
The most productive year was 2021 with 56 publications and the most impactful institute and countries are the University of Birmingham, UK, and the country is United Kingdom, respectively. Similarly, the most influential journal is “Industrial Marketing Management”, and the most productive journal is “International Journal of Internet Marketing and Advertising”. Furthermore, the most cited article is “Usage, barriers and measurement of social media marketing: An exploratory investigation of small and medium B2B brands”. The authors also identified five thematic clusters of digital marketing research in SMEs.
Research limitations/implications
It informs and directs researchers on the current state of study in the field of digital marketing literature in SMEs. It also outlines future research directions in this field.
Originality/value
This is the first study which provides the performance analysis and scientific mapping of the digital marketing literature in SMEs.
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P. Sandhya, K. Shreyaas, R. Jayaraj and Ganesh Raja Rajeswari
One of the major challenges faced by the world at present is management and treatment of waste. Especially, waste such as polyethylene (plastics) is non-degradable and is causing…
Abstract
Purpose
One of the major challenges faced by the world at present is management and treatment of waste. Especially, waste such as polyethylene (plastics) is non-degradable and is causing great damage to our environment. Aquatic environment is one among them that is getting affected by these plastic wastes. Water pollution is a great issue faced in many countries and steps to reduce it are being taken on a wide scale. Unwanted aquatic plants grown in ponds and lakes create problems like totally covering up the surface of the lake that blocks the sunlight for aquatic species and also reducing their total storage. Identifying such unwanted plants and plastics is a very essential part in treating and management of waste. Detection and classification help us to achieve this. With the help of satellites, drone-shot images of many oceans are captured, and the amount of plastic content present is detected using artificial intelligence. In artificial intelligence, we have many algorithms and platforms that help us to achieve object detection. Tensorflow is one such framework that helps us to perform object detection with the help of pre-trained models present in it, and thus, it is used in this study. Object detection uses computer vision to detect objects from images. Convolutional neural networks are a subset of machine learning that is helpful in image processing – in other words, processing of pixel data. In this study, we used the ResNet-50 model involving transfer learning for classifying unwanted plants and plastics. Lakes and ponds are the major places among the other aquatic environments where these kinds of wastes are found, and therefore, this study concentrates on waste present in these aquatic bodies. The lakes and ponds present near residential areas act as a place for storing excess rainwater, which prevents flooding. Many cities, especially residential areas, face a lot of water stagnation problems during the rainy season. Ponds and lakes near these areas contain unwanted plants and plastics present, which makes it a problem to store the rainwater that comes during monsoon. Another problem is that they don’t provide sunlight to enter deep into water, making the aquatic species difficult to survive. Preserving and maintaining such lakes from getting filled with non-degradable plastics and unwanted plant growth becomes very important. Therefore, the lakes and ponds present in such residential areas would be useful to detect the unwanted waste.
Design/methodology/approach
In this study, the focus is on detection and classification of the plastics and unwanted plants. The dataset is very important for this study, which is an image dataset. There was not any readily available image data of unwanted plastics available online, and therefore, the images were captured from the lakes and ponds in Kanchipuram district. Images of duckweed, plastics, bulrush and leaves of sky lotus were taken. This dataset consisted a total of 200 images, with 50 images belonging to each category. Having this as the dataset, detection and classification were carried out.
Findings
The object detection took place for the plastic, duckweed, bulrush and leaves of sky lotus and the performance metrics such as precision and recall was evaluated to test the accuracy of the detections. Precision is used to calculate the number of correctly identified positive identifications. This is done by dividing the sum of true positives and false positives from the number of true positives. True positives are nothing but the number of correct predictions of positive identifications, and false positives are the number of false predictions of positive identifications. Similarly, recall is used to calculate the number of actual positives identified. We can calculate recall by dividing the sum of true positives and false negatives from the total number of true positives. Here false negatives are the number of false predictions of false identification. This performance metrics was evaluated for the trained model, and we obtained an average precision of 0.81 and an average recall of 0.86. The high precision and recall values of our model show that the model produces accurate results. Therefore, the model is producing good performance in detecting the unwanted plants and plastics from lakes and ponds. The evaluation results were visualized with the help of TensorBoard and are available in fig-4 and fig-5. The loss rate is visualized and is available in fig-6. We can see that the loss rate has reduced over the steps as we pass from 1,000 to 4000th step.
Originality/value
The work was originally carried out in the Kanchipuram district of Tamil Nadu.
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Raghavendra Rao N.S. and Chitra A.
The purpose of this study is to propose an extended reliability method for an industrial motor drive by integrating the physics of failure (PoF).
Abstract
Purpose
The purpose of this study is to propose an extended reliability method for an industrial motor drive by integrating the physics of failure (PoF).
Design/methodology/approach
Industrial motor drive systems (IMDS) are currently expected to perform beyond the desired operating conditions to meet the demand. The PoF of the subsystem affects its reliability under such harsh operating circumstances. It is crucial to estimate reliability by integrating PoF, which helps in understanding its impact and to develop a fault-tolerant design, particularly in such an integrated drive system. An integrated PoF extended reliability method for industrial drive system is proposed to address this issue. In research, the numerical failure rate of each component of industrial drive is obtained first with the help of the MIL-HDBK-217 military handbook. Furthermore, the mathematically deduced proposed approach is modeled in the GoldSim Monte Carlo reliability workbench.
Findings
From the results, for a 15% rise in integrated PoF, the reliability and availability of the entire IMDS dropped by 23%, resulting in an impact on mean time to failure (MTTF).
Originality/value
The integrated PoF of the motor and motor controller affects industrial drive reliability, which falls to 0.18 with the least MTTF (2.27 years); whose overall reliability of industrial drive drops to 0.06 if it is additionally integrated with communication protocol.