A survey on units ontologies: architecture, comparison and reuse

2017 ◽  
Vol 51 (2) ◽  
pp. 193-213 ◽  
Author(s):  
Xiaoming Zhang ◽  
Kai Li ◽  
Chongchong Zhao ◽  
Dongyu Pan
Keyword(s):  
Materials Science ◽  
Future Research ◽  
Design Features ◽  
Pattern Design ◽  
Content Type ◽  
Open Biomedical Ontologies ◽  
Science Domain ◽  
Comprehensive Survey ◽  
Comparison Criteria ◽  
Dimension Type

Purpose With the increasing spread of ontologies in various domains, units have gradually become an essential part of ontologies and units ontologies have been developed to offer a better expression ability for the practical usage. From the perspectives of architecture, comparison and reuse, the purpose of this paper is to provide a comprehensive survey on four mainstream units ontologies: quantity-unit-dimension-type, quantities, units, dimensions and values, ontology of units of measure and units ontology (UO) of the open biomedical ontologies, in order to address well the state of the art and the reuse strategies of the UO. Design/methodology/approach An architecture of units ontologies is presented, in which the relations between key factors (i.e. units of measure, quantity and dimension) are discussed. The criteria for comparing units ontologies are developed from the perspectives of organizational structure, pattern design and application scenario. Then, the authors compare four typical units ontologies based on the proposed comparison criteria. Furthermore, how to reuse these units ontologies is discussed in materials science domain by utilizing two reuse strategies of partial reference and complete reference. Findings Units ontologies have attracted high attention in the scientific domain. Based on the comparison of four popular units ontologies, this paper finds that different units ontologies have different design features from the perspectives of basis structure, units conversion and axioms design; a UO is better to be applied to the application areas that satisfy its design features; and many challenges remain to be done in the future research of the UO. Originality/value This paper makes an extensive review on units ontologies, by defining the comparison criteria and discussing the reuse strategies in the materials domain. Based on this investigation, guidelines are summarized for the selection and reuse of units ontologies.

A Survey and Taxonomy of Electronics Toolkits for Interactive and Ubiquitous Device Prototyping

2021 ◽  
Vol 5 (2) ◽  
pp. 1-24
Author(s):  
Mannu Lambrichts ◽  
Raf Ramakers ◽  
Steve Hodges ◽  
Sven Coppers ◽  
James Devine
Keyword(s):  
Online Survey ◽  
Electronic Devices ◽  
Target Audience ◽  
Future Research ◽  
User Needs ◽  
Design Features ◽  
Intended Application ◽  
The Past ◽  
Comprehensive Survey ◽  
Technical Specifications

Over the past two decades, many toolkits for prototyping interactive and ubiquitous electronic devices have been developed. Although their technical specifications are often easy to look up, they vary greatly in terms of design, features and target audience, resulting in very real strengths and weaknesses depending on the intended application. These less technical characteristics are often reported inconsistently, if at all. In this paper we provide a comprehensive survey of interactive and ubiquitous device prototyping toolkits, systematically analysing their characteristics within the framework of a new taxonomy that we present. In addition to the specific characteristics we cover, we introduce a way to evaluate toolkits more holistically, covering user needs such as 'ease of construction' and 'ease of moving from prototype to product' rather than features. We also present results from an online survey which offers new insights on how the surveyed users prioritize these characteristics during prototyping, and what techniques they use to move beyond prototyping. We hope our analysis will be valuable for others in the community who need to build and potentially scale out prototypes as part of their research. We end by identifying gaps that have not yet been addressed by existing offerings and discuss opportunities for future research into electronics prototyping toolkits.

scholarly journals A practitioner’s guide to the design of strategy map frameworks

2018 ◽  
Vol 30 (3) ◽  
pp. 334-351 ◽  
Author(s):  
Syrus Islam
Keyword(s):  
Balanced Scorecard ◽  
Future Research ◽  
Strategy Execution ◽  
Design Features ◽  
Content Type ◽  
Strategy Maps ◽  
Measurement Framework ◽  
Map Design ◽  
Prior Literature ◽  
Strategy Map

Purpose The purpose of this study is to synthesise the prior literature on strategy maps to develop a practitioner’s guide to the design of strategy map frameworks. Robert Kaplan and David Norton introduced the strategy map in their 2000 Harvard Business review article. A strategy map visually represents how the critical elements of an organisation’s strategies are linked together. In an organisation’s strategy execution process, a strategy map complements a performance measurement framework such as the balanced scorecard. Design/methodology/approach This is a technical paper, which primarily builds on the prior literature on the strategy map design. In particular, this study reviews 41 publications on strategy maps in the period 2000-2015, including observation of 333 strategy map frameworks. Findings This study develops 14 design principles across seven features of a strategy map framework. This study also identifies a significant lack of empirical research on strategy map design features and principles. Research limitations/implications Future research could examine whether and why various design features and principles could exert different or same effects (e.g. decision-relevance). Practical implications The developed design features and principles can be used by practitioners as guidance for developing customised strategy maps for their organisations. Originality/value This paper contributes to the literature by serving as a “one-stop shop” for both practitioners and researchers seeking a comprehensive understanding of the current state of the strategy map design features and principles.

Understanding the preferences of males at different ages for plaid shirts

2019 ◽  
Vol 32 (1) ◽  
pp. 85-95
Author(s):  
Xiaoxi Zhou ◽  
Hang Xu
Keyword(s):  
Young Men ◽  
Design Features ◽  
Pattern Design ◽  
Content Type ◽  
Consumer Evaluation ◽  
Study Results ◽  
Different Ages ◽  
Appearance Design ◽  
The Aesthetic ◽  
Design Style

Purpose Except the physiological comfort, the design aesthetic of plaid shirts is the decisive factor affecting the purchase decision making of consumers. However, as there is subjectivity and indeterminacy in evaluation of the aesthetic, current research in the literature has little information about the appearance design of checks. The purpose of this paper is to extract the check design features, which influence consumer evaluation, and determine the preferences of men of different ages for the check designs, and the preference differences between them. Design/methodology/approach Through cluster and preference experiments, the perception and evaluation of the subjects were gained. By cluster analysis, typical classifications of check designs were fixed. With Multidimensional Scaling (MDS) algorithm, users’ perceptual space was revealed as to the plaid samples. In the PREFMAP analysis, results of the ideal vectors of men of different ages were drawn. Findings The study results revealed four typical classifications of check designs, identified three design dimensions that had effects on users’ evaluation, and built the relationship between design features of checks and consumer evaluation. Besides, in the study, the differences in preference for check designs between men of different ages were also explored. It was found that young men liked modern check designs, but disliked “small and complex” check patterns. Middle aged men preferred dark and cool colors, with dislike for “youthful vigor style.” While they cared more about check colors, young men attached more importance to the design style. Originality/value Currently, there is little information in the literature about the evaluation of pattern design. In this study, the use of MDS and PREFMAP analysis reveals visualized complex statistical results. The visualization approach is also applicable to design and positioning of other apparel, and can help designers better understand and position design styles and effects, given their consumer groups and design samples.

Past, present and future of contact centers: a literature review

2017 ◽  
Vol 23 (3) ◽  
pp. 574-597 ◽  
Author(s):  
Morteza Saberi ◽  
Omar Khadeer Hussain ◽  
Elizabeth Chang
Keyword(s):  
Public Relations ◽  
Information And Communication Technologies ◽  
Current Literature ◽  
Critical Evaluation ◽  
Customer Relationship ◽  
Future Research ◽  
Content Type ◽  
Comprehensive Survey ◽  
Information And Communication ◽  
Contact Centers

Purpose Contact centers (CCs) are one of the main touch points of customers in an organization. They form one of the inputs to customer relationship management (CRM) to enable an organization to efficiently resolve customer queries. CCs have an important impact on customer satisfaction and are a strategic asset for CRM systems. The purpose of this paper is to review the current literature on CCs and identify their shortcomings to be addressed in the current digital age. Design/methodology/approach The current literature on CCs can be classified into the analytical and the managerial aspects of CCs. In the former, data mining, text mining, and voice recognition techniques are discussed, and in the latter, staff training, CC performance, and outsourced CCs are discussed. Findings With the growth of information and communication technologies, the information that CCs must handle both in terms of type and volume, has changed. To deal with such changes, CCs need to evolve in terms of their operation and public relations. The authors present a state-of-the-art review of the challenges in identifying the gaps in order to have the next generation of CCs. Lack of an interactive CC and lack of data integrity for CCs are highlighted as important issues that need to be dealt with properly by CCs. Originality/value As far as the authors know, this is the first paper that reviews CCs’ literature by providing the comprehensive survey, critical evaluation, and future research.

Environmental design and awareness impact on organization image

2019 ◽  
Vol 26 (1) ◽  
pp. 29-45 ◽  
Author(s):  
Deepak Bangwal ◽  
Prakash Tiwari
Keyword(s):  
Structural Equation ◽  
Environmental Design ◽  
Green Building ◽  
Building Design ◽  
Equation Modeling ◽  
Future Research ◽  
Design Features ◽  
Content Type ◽  
Green Building Design ◽  
Modeling Methodology

Purpose The purpose of this paper is to examine how environmental design features of a green building contribute to the formation of employees’ organization image (OIM) through better environmental awareness (EAW) within employees. Design/methodology/approach Based on a comprehensive literature review on environmental design features of a building, a theoretical model was proposed for investigation. Three putative paths linking workspace (WSP) to EAW, departmental space (DSP) to EAW and EAW to OIM were then tested relying on a survey data of 362 employees collected from three Leadership in Energy and Environmental Design certified buildings by using structural equation modeling methodology as prescribed by Hair et al. Findings Significant evidence was found in support of all three purposed paths. Further, the study found that workspace and the DSP together explained around 46 percent of the variance in employee’s EAW, which then explained around 54 percent of the variance in the formation of the employees’ OIM. Research limitations/implications The study drew data only from green certified organizations. Future research should involve other green organizations or a larger sample of green buildings. The size and character of the sample were restricted by organizational constraints. Practical implications The organizations need to be extremely cautious of green concerns during the design phase in order to capitalize on the yields of better employees’ OIM. It also motivates the other organizational group toward the green building concept to increase the employees’ EAW and to enhance organizational values and image. Originality/value While the green concept has been a significant research topic for more than decades, barely any research has been conducted that focuses specifically on environmental design features of a green building on employees’ EAW and OIM. This study tries to make a link between green building design features with employees’ EAW and OIM. These links are rare in Indian perspective.

scholarly journals Advantages and potential challenges of data management in e-maintenance

2019 ◽  
Vol 25 (3) ◽  
pp. 378-396 ◽  
Author(s):  
Arian Razmi-Farooji ◽  
Hanna Kropsu-Vehkaperä ◽  
Janne Härkönen ◽  
Harri Haapasalo
Keyword(s):  
Data Management ◽  
Design Methodology ◽  
Management Practices ◽  
Future Research ◽  
Conceptual Approach ◽  
Content Type ◽  
Different Types ◽  
Maintenance Systems ◽  
Industry Leader ◽  
Practical Implications

Purpose The purpose of this paper is twofold: first, to understand data management challenges in e-maintenance systems from a holistically viewpoint through summarizing the earlier scattered research in the field, and second, to present a conceptual approach for addressing these challenges in practice. Design/methodology/approach The study is realized as a combination of a literature review and by the means of analyzing the practices on an industry leader in manufacturing and maintenance services. Findings This research provides a general understanding over data management challenges in e-maintenance and summarizes their associated proposed solutions. In addition, this paper lists and exemplifies different types and sources of data which can be collected in e-maintenance, across different organizational levels. Analyzing the data management practices of an e-maintenance industry leader provides a conceptual approach to address identified challenges in practice. Research limitations/implications Since this paper is based on studying the practices of a single company, it might be limited to generalize the results. Future research topics can focus on each of mentioned data management challenges and also validate the applicability of presented model in other companies and industries. Practical implications Understanding the e-maintenance-related challenges helps maintenance managers and other involved stakeholders in e-maintenance systems to better solve the challenges. Originality/value The so-far literature on e-maintenance has been studied with narrow focus to data and data management in e-maintenance appears as one of the less studied topics in the literature. This research paper contributes to e-maintenance by highlighting the deficiencies of the discussion surrounding the perspectives of data management in e-maintenance by studying all common data management challenges and listing different types of data which need to be acquired in e-maintenance systems.

Sustainable supply chain management: continuing evolution and future directions

2019 ◽  
Vol 50 (1) ◽  
pp. 122-146 ◽  
Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Theory Development ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Unit Of Analysis ◽  
Chain Management ◽  
Content Type ◽  
Empirical Validity ◽  
Sustainable Supply Chain Management

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.

A benchmarking study of Indian seaports

2019 ◽  
Vol 13 (1) ◽  
pp. 88-102
Author(s):  
Sajeev Abraham George ◽  
Anurag C. Tumma
Keyword(s):  
Financial Performance ◽  
Future Research ◽  
Data Envelopment ◽  
Operational Parameters ◽  
Two Stage ◽  
Content Type ◽  
The Public ◽  
Port Authorities ◽  
Financial Performance Measures ◽  
The Government

Purpose The purpose of this paper is to benchmark the operational and financial performances of the major Indian seaports to help derive useful insights to improve their performance. Design/methodology/approach A two-stage data envelopment analysis (DEA) methodology has been used with the help of data collected on the 13 major seaports of India. The first stage of the DEA captured the operational efficiencies, while the second stage the financial performance. Findings A window analysis over a period of three years revealed that no port was able to score an overall average efficiency of 100 per cent. The study identified the better performing units among their peers in both the stages. The contrasting results of the study with the traditional operational and financial performance measures used by the ports helped to derive useful insights. Research limitations/implications The data used in the study were majorly limited to the available sources in the public domain. Also, the study was limited to the major seaports which are under the Government of India and no comparisons were carried out with other local or international ports. Practical implications There is a need to prioritize investments and improvement efforts where they are most needed, instead of following a generalized approach. Once the benchmark ports are identified, the port authorities and other relevant stakeholders should work in detail on the factors causing inefficiencies, for possible improvements in performance. Originality/value This paper carried out a two-stage DEA that helped to derive useful insights on operational efficiency and financial performance of the India seaports. A combination of the financial and operational parameters, along with a comparison of the DEA results with the traditional measures, provided a different perspective on the Indian seaport performance. Considering the scarcity of research papers reported in the literature on DEA-based benchmarking studies of seaports in the Indian context, it has the potential to attract future research in this field.

A systematic literature review of healthcare supply chain and implications of future research

2019 ◽  
Vol 13 (4) ◽  
pp. 405-435 ◽  
Author(s):  
Anuj Dixit ◽  
Srikanta Routroy ◽  
Sunil Kumar Dubey
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Inventory Management ◽  
Cold Chain ◽  
Future Research ◽  
Research Papers ◽  
Content Type ◽  
Drug Manufacturing ◽  
Customer Training

Purpose This paper aims to review the healthcare supply chain (HSC) literature along various areas and to find out the gap in it. Design/methodology/approach In total, 143 research papers were reviewed during 1996-2017. A critical review was carried out in various dimensions such as research methodologies/data collection method (empirical, case study and literature review) and inquiry mode of research methodology (qualitative, quantitative and mixed), country-specific, targeted area, research aim and year of publication. Findings Supply chain (SC) operations, performance measurement, inventory management, lean and agile operation, and use of information technology were well studied and analyzed, however, employee and customer training, tracking and visibility of medicines, cold chain management, human resource practices, risk management and waste management are felt to be important areas but not much attention were made in this direction. Research limitations/implications Mainly drug and vaccine SC were considered in current study of HSC while SC along healthcare equipment and machine, hospitality and drug manufacturing related papers were excluded in this study. Practical implications This literature review has recognized and analyzed various issues relevant to HSC and shows the direction for future research to develop an efficient and effective HSC. Originality/value The insight of various aspects of HSC was explored in general for better and deeper understanding of it for designing of an efficient and competent HSC. The outcomes of the study may form a basis to decide direction of future research.

A Comprehensive Survey of Neural Architecture Search

2021 ◽  
Vol 54 (4) ◽  
pp. 1-34
Author(s):  
Pengzhen Ren ◽  
Yun Xiao ◽  
Xiaojun Chang ◽  
Po-yao Huang ◽  
Zhihui Li ◽  
...  
Keyword(s):  
Research Work ◽  
Search Space ◽  
Feature Representation ◽  
Future Research ◽  
Related Research ◽  
Neural Architecture ◽  
Comprehensive Survey ◽  
Future Research Directions ◽  
Intuitive Idea ◽  
New Perspective

Deep learning has made substantial breakthroughs in many fields due to its powerful automatic representation capabilities. It has been proven that neural architecture design is crucial to the feature representation of data and the final performance. However, the design of the neural architecture heavily relies on the researchers’ prior knowledge and experience. And due to the limitations of humans’ inherent knowledge, it is difficult for people to jump out of their original thinking paradigm and design an optimal model. Therefore, an intuitive idea would be to reduce human intervention as much as possible and let the algorithm automatically design the neural architecture. Neural Architecture Search ( NAS ) is just such a revolutionary algorithm, and the related research work is complicated and rich. Therefore, a comprehensive and systematic survey on the NAS is essential. Previously related surveys have begun to classify existing work mainly based on the key components of NAS: search space, search strategy, and evaluation strategy. While this classification method is more intuitive, it is difficult for readers to grasp the challenges and the landmark work involved. Therefore, in this survey, we provide a new perspective: beginning with an overview of the characteristics of the earliest NAS algorithms, summarizing the problems in these early NAS algorithms, and then providing solutions for subsequent related research work. In addition, we conduct a detailed and comprehensive analysis, comparison, and summary of these works. Finally, we provide some possible future research directions.

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