Feasibility study of automatically performing the concrete delivery dispatching through machine learning techniques

2015 ◽  
Vol 22 (5) ◽  
pp. 573-590 ◽  
Author(s):  
Mojtaba Maghrebi ◽  
Claude Sammut ◽  
S. Travis Waller
Keyword(s):  
Machine Learning ◽  
Human Resources ◽  
Design Methodology ◽  
Machine Learning Techniques ◽  
Mixing Process ◽  
Content Type ◽  
Practical Solution ◽  
Learning Techniques ◽  
Ready Mixed Concrete ◽  
Practical Implications

Purpose – The purpose of this paper is to study the implementation of machine learning (ML) techniques in order to automatically measure the feasibility of performing ready mixed concrete (RMC) dispatching jobs. Design/methodology/approach – Six ML techniques were selected and tested on data that was extracted from a developed simulation model and answered by a human expert. Findings – The results show that the performance of most of selected algorithms were the same and achieved an accuracy of around 80 per cent in terms of accuracy for the examined cases. Practical implications – This approach can be applied in practice to match experts’ decisions. Originality/value – In this paper the feasibility of handling complex concrete delivery problems by ML techniques is studied. Currently, most of the concrete mixing process is done by machines. However, RMC dispatching still relies on human resources to complete many tasks. In this paper the authors are addressing to reconstruct experts’ decisions as only practical solution.

Image recognition of COVID-19 using DarkCovidNet architecture based on convolutional neural network

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pankaj Kumar ◽  
Bhavna Bajpai ◽  
Deepak Omprakash Gupta ◽  
Dinesh C. Jain ◽  
S. Vimal
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Computed Tomography ◽  
Convolutional Neural Network ◽  
Design Methodology ◽  
Machine Learning Techniques ◽  
Computed Tomography Scan ◽  
Content Type ◽  
Learning Techniques ◽  
Tomography Scan

Purpose The purpose of this study/paper To focus on finding COVID-19 with the help of DarkCovidNet architecture on patient images. Design/methodology/approach We used machine learning techniques with convolutional neural network. Findings Detecting COVID-19 symptoms from patient CT scan images. Originality/value This paper contains a new architecture for detecting COVID-19 symptoms from patient computed tomography scan images.

Configurational examination of successful human resources outsourcing

2017 ◽  
Vol 55 (8) ◽  
pp. 1681-1697
Author(s):  
Thuy Thi Thanh Nguyen ◽  
Man-Ling Chang
Keyword(s):  
Human Resources ◽  
Design Methodology ◽  
Qualitative Comparative Analysis ◽  
Task Interdependence ◽  
It Use ◽  
Research Attention ◽  
Content Type ◽  
Provider Quality ◽  
Core Condition ◽  
Practical Implications

Purpose The causal conditions leading to successful human resources outsourcing (HRO) have until now attracted only limited research attention. To address this shortcoming, the purpose of this paper is to investigate how a firm and a HR provider should work together to ensure successful HRO. Design/methodology/approach By applying a fuzzy-set qualitative comparative analysis, the authors demonstrate how combining in different ways provider quality, business understanding, trust, and closed HRO networks can lead to HRO success. In addition, this study compares the causal combinations between cases with differing levels of HR-task interdependence and IT use. Findings The results of this study reveal three common solutions that lead to successful HRO from both economic and relational viewpoints. The findings also indicate that, from an economic viewpoint, trust is a core condition for achieving HRO success. Moreover, HR-task interdependence and IT use alter the number of solutions and the conditions for attaining HRO success. Practical implications Based on the solutions proposed herein, firms can consider different ways to achieve HRO success under diverse conditions. Originality/value This work also contributes to building new theories regarding HRO, trust, knowledge sharing, and IT use.

Inclusive leadership: new age leadership to foster organizational inclusion

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sunaina Chetan Kuknor ◽  
Shubhasheesh Bhattacharya
Keyword(s):  
Theoretical Model ◽  
Literature Review ◽  
Human Resources ◽  
Design Methodology ◽  
Human Resources Development ◽  
Inclusive Leadership ◽  
Content Type ◽  
Set Up ◽  
The Relationship ◽  
Practical Implications

Purpose This paper aims to investigate the relationship between inclusive leadership (IL) and organizational inclusion (OI) in literature and explores the contribution of IL and OI in human resources development (HRD). Design/methodology/approach The systematic literature review was undertaken from peer-reviewed journals. In total, 68 articles were critically analyzed to be included in the review highlighting the relationship between IL and OI. Findings The paper provides insights into leader behaviors that foster IL and how it differs from other styles of leadership. The paper also proposes a theoretical model to show the relationship between IL and OI. Practical implications The study will facilitate creating awareness in practitioners and academicians who think inclusion is mostly concerned with disabled learners, which is misleading. The paper will help the concerned stakeholders to formulate HRD practices to foster an inclusive culture at work. Originality/value The paper explores an area less researched and is among the few review papers investigating through the relationship between IL and OI and how they impact HRD practices in an organizational set-up.

scholarly journals Malicious web domain identification using online credibility and performance data by considering the class imbalance issue

2019 ◽  
Vol 119 (3) ◽  
pp. 676-696 ◽  
Author(s):  
Zhongyi Hu ◽  
Raymond Chiong ◽  
Ilung Pranata ◽  
Yukun Bao ◽  
Yuqing Lin
Keyword(s):  
Machine Learning ◽  
Class Imbalance ◽  
Performance Data ◽  
Machine Learning Techniques ◽  
Data Sets ◽  
Real World Data ◽  
Content Type ◽  
Domain Identification ◽  
Learning Techniques ◽  
And Performance

Purpose Malicious web domain identification is of significant importance to the security protection of internet users. With online credibility and performance data, the purpose of this paper to investigate the use of machine learning techniques for malicious web domain identification by considering the class imbalance issue (i.e. there are more benign web domains than malicious ones). Design/methodology/approach The authors propose an integrated resampling approach to handle class imbalance by combining the synthetic minority oversampling technique (SMOTE) and particle swarm optimisation (PSO), a population-based meta-heuristic algorithm. The authors use the SMOTE for oversampling and PSO for undersampling. Findings By applying eight well-known machine learning classifiers, the proposed integrated resampling approach is comprehensively examined using several imbalanced web domain data sets with different imbalance ratios. Compared to five other well-known resampling approaches, experimental results confirm that the proposed approach is highly effective. Practical implications This study not only inspires the practical use of online credibility and performance data for identifying malicious web domains but also provides an effective resampling approach for handling the class imbalance issue in the area of malicious web domain identification. Originality/value Online credibility and performance data are applied to build malicious web domain identification models using machine learning techniques. An integrated resampling approach is proposed to address the class imbalance issue. The performance of the proposed approach is confirmed based on real-world data sets with different imbalance ratios.

The state of opportunities: clarifying the transitions between opportunity types

2015 ◽  
Vol 53 (7) ◽  
pp. 1398-1411 ◽  
Author(s):  
Chris Welter ◽  
Sharon Alvarez
Keyword(s):  
Human Resources ◽  
Design Methodology ◽  
Theoretical Work ◽  
The Other ◽  
Theory Building ◽  
Content Type ◽  
Different Types ◽  
System States ◽  
The Relationship ◽  
Practical Implications

Purpose – The purpose of this paper is to describe how discovery and creation opportunities transition from one to the other and thereby clarify the relationship between opportunity types. This theoretical work will offer insight for studying opportunities and clarify the different practical implications of different opportunity types. Design/methodology/approach – To further the understanding of opportunity types, the paper employs Dubin’s (1978) theory building methodology focussing specifically on the concepts of system states. Approaching opportunity types as system states clarifies the relationship between discovery and creation opportunities. Findings – This research argues that opportunities transition from creation opportunities to discovery opportunities. Furthermore, understanding the opportunity state can clarify the practical implications for entrepreneurs. In particular, entrepreneurs in discovery states employ different processes regarding human resources, strategy, financing, planning, leadership, and potential competitive advantage than entrepreneurs pursuing creation states. Originality/value – This paper offers value to researchers by clarifying the differences between opportunity types. To date, there has been little to no investigation into how opportunity types change from one type to another. This research offers to clarify the debate about the existence of different opportunity types and move the discussion forward theoretically. Additionally, this manuscript offers practical insights for entrepreneurs pursuing different types of opportunities.

Using human resource activities to implement sustainability in SMEs

2016 ◽  
Vol 23 (3) ◽  
pp. 652-670 ◽  
Author(s):  
Christina Langwell ◽  
Dennis Heaton
Keyword(s):  
Qualitative Research ◽  
Human Resources ◽  
Human Resource ◽  
Empirical Research ◽  
Design Methodology ◽  
Research Study ◽  
Structured Interviews ◽  
Content Type ◽  
Qualitative Research Study ◽  
Practical Implications

Purpose – The purpose of this paper is to examine how small- and medium-sized organisations that were already participating in recognised sustainability programmes in Iowa, USA, in how they were utilising activities normally associated with human resources (HRs) to implement sustainability – activities included communication, engagement, incentives and recruitment and retention. Design/methodology/approach – The authors were interested in how small- and medium-sized enterprises (SMEs) were utilising HR functions to implement sustainability. This was an exploratory, qualitative research study utilised semi-structured interviews to obtain data. Findings – Based on the findings, some of the functions are being utilised more than others, with some activities not being implemented at all. Research limitations/implications – This research offers empirical research on how sustainability is achieved in SMEs. Practical implications – This paper outlines some practical methods that any SME could utilise to help implement sustainability within an organisation. Originality/value – This paper adds empirical research on how SMEs are implementing sustainable practices into their operations by using activities normally associated with the HR department.

An application of the instrumental-symbolic framework in Maritime industry

2019 ◽  
Vol 43 (3) ◽  
pp. 270-292
Author(s):  
Alka Rai
Keyword(s):  
Data Analysis ◽  
Human Resources ◽  
Human Resource ◽  
Design Methodology ◽  
Research Literature ◽  
Maritime Industry ◽  
Employer Branding ◽  
Content Type ◽  
The Subject ◽  
Practical Implications

Purpose To deal with the agenda of extensive research to establish employer branding as a valuable Human Resource (HR) practice, this study aims to examine perception of seafarer to explore the attributes related with employer branding in maritime industry. This study intends to explore the applicability of instrumental-symbolic framework of employer branding in maritime industry to understand the dimensions related with attractiveness of seafarers’ jobs. Design/methodology/approach Sample of the study is Indian seafarers include only officers from both deck and engine. Total 276 usable responses were considered at the end for data analysis. Findings Both, the instrumental and symbolic attributes explained significant variance in predicting attractiveness of seafarers’ occupation, thus supporting hypotheses 1 and 2. In particular, among instrumental dimensions, social/team activities, structure, advancement, travel opportunities and pay and benefits positively predicted seafarers’ attraction towards their job. As symbolic dimension, sincerity, competence and prestige was positively related, and ruggedness was negatively related to attractiveness of the present job among seafarers. Practical implications Overall, the present findings ascertain the utility of the framework as a conceptualization of employer brands and support the applicability of instrumental-symbolic framework for understanding the dimensions of occupational attractiveness in different context and culture, i.e. Indian Seafarers. Originality/value Although the popularity of employer branding is growing amongst human resources practitioners, but still, there is dearth of academic (mainly empirical research) literature on the subject, `appeals to management researchers (Cable and Turban, 2001; Backhaus and Tikoo, 2004, Edwards, 2009; alniacik and alniacik, 2012; Kucherov and Zavyalova, 2012). With this in consideration and to deal with the agenda of extensive research to establish employer branding as a valuable HR practice, the present study examines perception of seafarer to explore the attributes related with employer branding in maritime industry.

Mindfulness: performance, wellness or fad?

2017 ◽  
Vol 16 (1) ◽  
pp. 24-31 ◽  
Author(s):  
Chris Altizer
Keyword(s):  
Human Resources ◽  
Design Methodology ◽  
Voluntary Participation ◽  
Business Leadership ◽  
Content Type ◽  
Mindfulness Practices ◽  
Potential Risks ◽  
And Performance ◽  
Practical Implications

Purpose The purpose of this paper is to focus on “mindfulness” as an emerging wellness, performance, and leadership solution in business, and the role of human resources (HR) in effectively leveraging the potential value while minimizing the potential risks. Design/methodology/approach This paper reviews current research and current discussion of mindfulness in business, leadership, health, and management media, and provides recommendations for effective adoption. Findings Benefits of mindfulness practices include improved overall health and improved stress management for individuals and correlated benefits in productivity and performance of individuals, teams, and leaders. The potential risks of mindfulness include disengagement of non-participants and wasted investment if not integrated with company practices and culture. Practical implications This paper highlights the importance of aligning introduction of mindfulness with company practices and culture, ensuring voluntary participation, providing effective communication, and maintaining a secular nature of implementation. Originality/value This paper helps HR leaders leverage mindfulness for performance and wellness of individuals, teams and leaders.

Toward understanding the topical structure of hospitality literature

2018 ◽  
Vol 30 (11) ◽  
pp. 3386-3411 ◽  
Author(s):  
Eunhye (Olivia) Park ◽  
Bongsug Chae ◽  
Junehee Kwon
Keyword(s):  
Machine Learning ◽  
Topic Modeling ◽  
Research Field ◽  
Intellectual Structure ◽  
Machine Learning Techniques ◽  
Research Topics ◽  
Evolutionary Patterns ◽  
Content Type ◽  
Learning Techniques ◽  
Academic Publications

Purpose This paper aims to identify the intellectual structure of four leading hospitality journals over 40 years by applying mixed-method approach, using both machine learning and traditional statistical analyses. Design/methodology/approach Abstracts from all 4,139 articles published in four top hospitality journals were analyzed using the structured topic modeling and inferential statistics. Topic correlation and community detection were applied to identify strengths of correlations and sub-groups of topics. Trend visualization and regression analysis were used to quantify the effects of the metadata (i.e. year of publication and journal) on topic proportions. Findings The authors found 50 topics and eight subgroups in the hospitality journals. Different evolutionary patterns in topic popularity were demonstrated, thereby providing the insights for popular research topics over time. The significant differences in topical proportions were found across the four leading hospitality journals, suggesting different foci in research topics in each journal. Research limitations/implications Combining machine learning techniques with traditional statistics demonstrated potential for discovering valuable insights from big text data in hospitality and tourism research contexts. The findings of this study may serve as a guide to understand the trends in the research field as well as the progress of specific areas or subfields. Originality/value It is the first attempt to apply topic modeling to academic publications and explore the effects of article metadata with the hospitality literature.

“Diversity,” immigration, and the new American multi-racial hierarchy

2014 ◽  
Vol 29 (3) ◽  
pp. 285-303 ◽  
Author(s):  
Myrtle P. Bell ◽  
Dennis Marquardt ◽  
Daphne P. Berry
Keyword(s):  
Human Resources ◽  
Design Methodology ◽  
Differential Treatment ◽  
Organizational Diversity ◽  
Content Type ◽  
Racial Hierarchy ◽  
The Usa ◽  
History Of ◽  
Government Data ◽  
Practical Implications

Purpose – This paper aims to analyze the new multi-racial hierarchy in the USA. The authors propose that despite increasing diversity, a multi-racial hierarchy of privilege and disadvantage continues to exist. Due to the history of anti-Black discrimination and stereotyping in the USA, employers prefer native and immigrant non-Blacks to native and immigrant Blacks, and use non-Blacks to claim organizational diversity success. Design/methodology/approach – The authors propose that a multi-racial hierarchy, ordered as Whites, Non-White Non-Blacks, and Collective Blacks now exists, and use history, relevant theory, existing research, and government data to support their ideas. Findings – Evidence suggests that despite increased diversity, Whites remain most privileged, Blacks least privileged, and Asians and Hispanics tend to comprise the middle of the hierarchy. Even in organizations that are “diverse,” a multi-racial hierarchy results in different compensation, promotion, and layoff rates and differential treatment across groups. Research limitations/implications – Diversity within and across different racial and ethnic groups should be investigated. Employers' apparent diversity success may obscure the continued dominance of Whites, disadvantage of Blacks, and a color-based multi-racial hierarchy. Practical implications – Analyses of human resources data could help organizations identify and avoid discrimination and inequality even in “diverse” organizations. Originality/value – This paper focuses on the meaning of a new multi-racial hierarchy in ways that have not been previously considered.

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