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Article
Publication date: 13 February 2017

Simon Moss, S. Ram Vemuri, Darren Hedley and Mirko Uljarevic

The purpose of this paper is to explore the possibility that several workplace initiatives could stem the biases of recruiters against people who disclose or demonstrate…

Abstract

Purpose

The purpose of this paper is to explore the possibility that several workplace initiatives could stem the biases of recruiters against people who disclose or demonstrate diagnosed mental disorders. Specifically, in many nations, the level of unemployment in people who experience mental disorders is rife. Arguably, employers exhibit various biases that disadvantage people who disclose or demonstrate mental disorders; for example, recruiters tend to orient attention to the limitations, instead of the strengths, of job candidates. Because of these various biases, employers may reject applicants who acknowledge or manifest a mental disorder, even if these candidates would have been suitable.

Design/methodology/approach

To substantiate these premises, the authors analyzed established taxonomies of cognitive biases to identify which of these biases are likely to deter the employment of people with mental disorders. In addition, the authors applied several theories, such as the future self-continuity hypothesis, to uncover a variety of initiatives that could redress these biases in the future.

Findings

The authors uncovered five constellations of biases in recruiters that could disadvantage individuals who disclose or demonstrate mental disorders. Fortunately, consistent with the meaning maintenance model and cognate theories, when the vision and strategy of organizations is stable and enduring, these biases diminish, and people who report mental disorders are more likely to be employed.

Originality/value

This paper shows that initiatives that promote equality and stability in organizations could diminish stigma against individuals who experience mental disorders.

Details

Equality, Diversity and Inclusion: An International Journal, vol. 36 no. 1
Type: Research Article
ISSN: 2040-7149

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Article
Publication date: 25 September 2019

Kussudyarsana Kussudyarsana, Soepatini Soepatini, Muhammad Halim Maimun and Ram Vemuri

The purpose of this study is to investigate factors that influence the application of governance mechanism in family small and medium-sized enterprises (SMEs) in Indonesia.

Abstract

Purpose

The purpose of this study is to investigate factors that influence the application of governance mechanism in family small and medium-sized enterprises (SMEs) in Indonesia.

Design/methodology/approach

This study used multiple regression analysis to examine the hypothesis. For data collection, questionnaires were distributed to 337 owners and managers of SMEs around 7 districts in Java Island in Indonesia.

Findings

The result indicates that uncertainty influences the application of formal governance in family SMEs in Indonesia. Meanwhile, asset specificity has impact on both formal and relational governance in the context of firms. Financial and non-financial objectives did not impact both formal and relational governance.

Research limitations/implications

Though this research was carried out in a particular cultural context, this study was not specifically designed to examine the interaction between cultural variables and family corporate governance variables. In the future, there is need for a study that examines how culture can influence the practice of formal and relational governance in family business.

Practical implications

The study will give guidance to owners or managers of family business in terms of governance mechanism when uncertainty increases. This evidence suggests that family firms need to adopt formal governance within family firms when uncertainty exists.

Social implications

The research finding indicated that uncertainty influenced the application of formal governance in family SMEs in Indonesia. This research finding suggests that family firms need to adopt formal governance when uncertainty exists. The adoption of formal governance, however, may implicate to some others organizational areas in family firms such as leadership, recruitment and selection and corporate culture.

Originality/value

This study is one of the few on family SMEs, which applied the transaction cost theory. Most of the studies use agency theory for investigating governance mechanism in the family business. This study is one of the few on family SMEs, which applied the transaction cost. This study provides an explanation about a factor that influences a family firm to choose formal and relational governance within the firm.

Details

Journal of Entrepreneurship in Emerging Economies, vol. 12 no. 2
Type: Research Article
ISSN: 2053-4604

Keywords

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Article
Publication date: 1 December 2004

Sanjay Rawat, V.P. Gulati and Arun K. Pujari

This paper discusses a new similarity measure for the anomaly‐based intrusion detection scheme using sequences of system calls. With the increasing frequency of new…

Abstract

This paper discusses a new similarity measure for the anomaly‐based intrusion detection scheme using sequences of system calls. With the increasing frequency of new attacks, it is getting difficult to update the signatures database for misuse‐based intrusion detection system (IDS). While anomaly‐based IDS has a very important role to play, the high rate of false positives remains a cause for concern. Defines a similarity measure that considers the number of similar system calls, frequencies of system calls and ordering‐of‐system calls made by the processes to calculate the similarity between the processes. Proposes the use of Kendall Tau distance to calculate the similarity in terms of ordering of system calls in the process. The k nearest neighbor (kNN) classifier is used to categorize a process as either normal or abnormal. The experimental results, performed on 1998 DARPA data, are very promising and show that the proposed scheme results in a high detection rate and low rate of false positives.

Details

Information Management & Computer Security, vol. 12 no. 5
Type: Research Article
ISSN: 0968-5227

Keywords

Open Access
Article
Publication date: 8 April 2021

Eva Karayianni, Elias Hadjielias and Loukas Glyptis

The purpose of this paper is to study the way in which family ties influence the entrepreneurial preparedness of the diaspora family business owner.

Abstract

Purpose

The purpose of this paper is to study the way in which family ties influence the entrepreneurial preparedness of the diaspora family business owner.

Design/methodology/approach

In-depth interviews were carried out with 15 Cypriot family business owners hosted in various countries. The paper draws on social capital theory and uses an abductive analytical approach.

Findings

The findings of this paper illustrate that family ties coming from the family across borders play a significant role for diaspora family business owners’ entrepreneurial preparedness. Hidden values deriving from the interpersonal relationships within the family across borders drive the diaspora family business owners to learn upon self-reflection and become entrepreneurially prepared, led by both urgency and esteem.

Practical implications

This study provides practical implications for the entrepreneurial preparedness of diaspora family business owners and those who wish to become family business owners in a diaspora context.

Originality/value

This study contributes theoretically through the conceptualization of “family across borders social capital” and “diaspora entrepreneurial preparedness”. It also contributes empirically to the fields of diaspora family business, entrepreneurial learning and diaspora entrepreneurship through new knowledge regarding the role of family across borders social capital in the entrepreneurial preparedness of the diaspora family business owner.

Details

Journal of Enterprising Communities: People and Places in the Global Economy, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6204

Keywords

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Article
Publication date: 1 September 2002

Miklós Kuczmann and Amália Iványi

The classical Preisach model and its modifications are one of the most generally applied simulations to model the behavior of magnetic materials, to describe hysteresis…

Abstract

The classical Preisach model and its modifications are one of the most generally applied simulations to model the behavior of magnetic materials, to describe hysteresis phenomena and different properties, as noncongruent minor loops, frequency dependence, temperature dependence, accommodation, and so on. Artificial neural networks (NNs) are widely used in fields of research where the solution of problems with conventional methods on traditional computers is very difficult to work out, for example system identification, modeling and function approximation. NNs can be considered as universal approximation for functions based on the theorem of Kolmogorov‐Arnold. In this paper a new NN model of scalar hysteresis characteristics is introduced. The examined method is built on the function approximation and continuous interpolation capability of NNs. The anhysteretic magnetization curve and a set of the ascending and a set of the descending first order reversal branches can be stored in a system of three neural networks. Different properties of magnetic materials can be simulated by a simple knowledge‐based algorithm. Value of differential susceptibility can be expressed in analytical form. Finally hysteresis characteristics predicted by the introduced model are compared with the results of the Preisach simulation.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 21 no. 3
Type: Research Article
ISSN: 0332-1649

Keywords

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Article
Publication date: 17 June 2021

Pengyue Guo, Zhijing Zhang, Lingling Shi and Yujun Liu

The purpose of this study was to solve the problem of pose measurement of various parts for a precision assembly system.

Abstract

Purpose

The purpose of this study was to solve the problem of pose measurement of various parts for a precision assembly system.

Design/methodology/approach

A novel alignment method which can achieve high-precision pose measurement of microparts based on monocular microvision system was developed. To obtain the precise pose of parts, an area-based contour point set extraction algorithm and a point set registration algorithm were developed. First, the part positioning problem was transformed into a probability-based two-dimensional point set rigid registration problem. Then, a Gaussian mixture model was fitted to the template point set, and the contour point set is represented by hierarchical data. The maximum likelihood estimate and expectation-maximization algorithm were used to estimate the transformation parameters of the two point sets.

Findings

The method has been validated for accelerometer assembly on a customized assembly platform through experiments. The results reveal that the proposed method can complete letter-pedestal assembly and the swing piece-basal part assembly with a minimum gap of 10 µm. In addition, the experiments reveal that the proposed method has better robustness to noise and disturbance.

Originality/value

Owing to its good accuracy and robustness for the pose measurement of complex parts, this method can be easily deployed to assembly system.

Details

Assembly Automation, vol. 41 no. 3
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 11 February 2021

Shalini Menon and M. Suresh

The purpose of this paper is to explore and encapsulate the enablers that can facilitate education for sustainable development in higher education (HE). The study also…

Abstract

Purpose

The purpose of this paper is to explore and encapsulate the enablers that can facilitate education for sustainable development in higher education (HE). The study also aims to understand the interdependence between the enablers.

Design/methodology/approach

The study adopts the total interpretive structural modelling approach to comprehend the interaction and transitivity between the enablers. Cross-impact multiplication matrix analysis was applied to rank the enablers and classify them on the basis of the driving and dependence power into dependent, autonomous, independent and linkage enablers.

Findings

An extensive literature review and expert opinion helped in identifying 10 enablers that can promote sustainability in higher education. The structural model revealed government policies, media, accreditation/sustainability audit, sustainability leadership and institutional commitment as the crucial enablers that can drive sustainability and activate the enablers with high dependence and low driving power.

Practical implications

The results of this study will assist the policymakers and management of universities and colleges in understanding important factors that can facilitate sustainability in higher education. Universities and colleges to incorporate sustainability in their system need to transform not only the core higher education activities of learning and teaching, research and engagement, also the way the colleges operate its culture, governance, structure and how it supports the staff and students.

Originality/value

So far, research on sustainability in higher education has looked into each factor in isolation. This research provides a comprehensive view of the factors and has attempted to establish a multidirectional interplay between factors facilitating sustainability in higher education (SHE).

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

Keywords

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Book part
Publication date: 1 January 2004

Ian D. Wilson, Antonia J. Jones, David H. Jenkins and J.A. Ware

In this paper we show, by means of an example of its application to the problem of house price forecasting, an approach to attribute selection and dependence modelling…

Abstract

In this paper we show, by means of an example of its application to the problem of house price forecasting, an approach to attribute selection and dependence modelling utilising the Gamma Test (GT), a non-linear analysis algorithm that is described. The GT is employed in a two-stage process: first the GT drives a Genetic Algorithm (GA) to select a useful subset of features from a large dataset that we develop from eight economic statistical series of historical measures that may impact upon house price movement. Next we generate a predictive model utilising an Artificial Neural Network (ANN) trained to the Mean Squared Error (MSE) estimated by the GT, which accurately forecasts changes in the House Price Index (HPI). We present a background to the problem domain and demonstrate, based on results of this methodology, that the GT was of great utility in facilitating a GA based approach to extracting a sound predictive model from a large number of inputs in a data-point sparse real-world application.

Details

Applications of Artificial Intelligence in Finance and Economics
Type: Book
ISBN: 978-1-84950-303-7

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Article
Publication date: 4 December 2019

Maria Elo and Leo-Paul Dana

The purpose of this paper is to explore how entrepreneurship traditions evolve in diaspora.

Abstract

Purpose

The purpose of this paper is to explore how entrepreneurship traditions evolve in diaspora.

Design/methodology/approach

A qualitative multiple case study examining the role of diaspora embeddedness, extended family, ethno-religious-, cultural- and social ties and relevant structures shaping diaspora entrepreneurship.

Findings

The authors found that social ties and diaspora embeddedness create dynamism fostering entrepreneurial identity as a part of the Bukharian culture, and as a preferred career option in the context of Bukharian Jews in diaspora. Diasporic family businesses are products of culture and tradition that migrate to new locations with families and communities, not as disconnected business entities.

Research limitations/implications

The ways in which families nurture a highly entrepreneurial culture that transfers across generations and contexts are context-specific and not per se generalizable to other diasporas.

Practical implications

Diasporans often continue their traditions and become again entrepreneurs after their settlement, or they may generate hybrid, circular solutions that allow them to employ their competences in the new contexts or connecting various contexts. This calls for transnational entrepreneurship-policymaking.

Social implications

Time changes diasporas. A long-term commitment to the business environment evolves and reduces the mobility of the individual diasporan; typically the children of these migrants become more integrated and develop divergent career paths. Hence, their plans are not necessarily including family entrepreneurship creating a challenge for continuation of the original culture of entrepreneurship.

Originality/value

Despite a notable tradition in Jewish studies, there is limited research on Jewish entrepreneurial diaspora and its contemporary entrepreneurial identity and tradition. Furthermore, the population of Bukharian Jews is an unknown and under-explored highly entrepreneurial group that may offer instrumental views to larger diasporic audiences being concerned about maintaining notions of ethnic heritage and identity.

Details

Journal of Family Business Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2043-6238

Keywords

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Article
Publication date: 8 April 2020

Jiangnan Qiu, Liwei Xu, Min Zuo, Jingxian Wang and Weadon Helen

Online knowledge integration has been an important concern of the online knowledge community as it can lead to various positive outcomes of online knowledge coproduction…

Abstract

Purpose

Online knowledge integration has been an important concern of the online knowledge community as it can lead to various positive outcomes of online knowledge coproduction. This paper identifies online knowledge integration factors by considering group heterogeneity and group interaction process.

Design/methodology/approach

Based on the categorization-elaboration model (CEM) and interactive team cognition (ITC) theory, a research model that reflects the antecedent's factors and mediating factors of online knowledge integration was developed and empirically examined based on data collected from 2,339,836 data extracted from Wikipedia.

Findings

Group interaction process plays an essential mediator role in online knowledge integration. Group knowledge heterogeneity negatively influences online knowledge integration and group experience heterogeneity positively, and they both positively promote online knowledge integration through group interaction process with different paths.

Research limitations

Our research concerns the OKC context in one setting (Wikipedia). We expect that the results will generalize to other OKC platforms.

Practical implications

The findings of the study could assist the online knowledge community's organizers to understand the motivational mechanisms of online knowledge integration. Group interaction process could be regarded as the key role to promote group wisdom and maintain group independence.

Social implications

We advance the understanding of the online knowledge integration and gain a richer understanding of the importance of group interaction independence for online knowledge integration based on the agreement of group wisdom. It suggested keeping group interaction independence is an important aspect for highly online knowledge integration among heterogeneity groups.

Originality/value

This study extends CEM and ITC theory to the domain of knowledge integration context and finds the mechanism between group heterogeneity and online knowledge integration by introducing the group interaction process.

Details

Information Technology & People, vol. 34 no. 1
Type: Research Article
ISSN: 0959-3845

Keywords

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