Internet of Things technology applications in the workplace environment: a critical review

2020 ◽  
Vol 22 (1) ◽  
pp. 71-90
Author(s):  
Ingrid Nappi ◽  
Gisele de Campos Ribeiro
Keyword(s):  
Design Methodology ◽  
Wearable Devices ◽  
Physiological Data ◽  
Rfid Technology ◽  
Time Data ◽  
Workplace Environment ◽  
Content Type ◽  
Technology Applications ◽  
Internet Of Things Technology ◽  
Workplace Surveillance

Purpose The purpose of this study is to examine the use of IoT technology (RFID technology, sensor networks, wearable devices and other smart items) in office settings and its respective impact on the optimization of employees’ productivity and workspace effectiveness. Design/methodology/approach The paper reviews 41 relevant publications reporting IoT use in office settings to identify how this technology has been applied in office settings and what topics are mostly addressed in the literature; how IoT technology improves employees’ productivity; and what the benefits and risks associated with IoT use in the workplace environment are. Findings Two main areas of application of IoT technology in the workplace environment were identified. The first one concerns the influence of the physical characteristics of workplaces on aspects related to workspace effectiveness. The second one is employee-centered and concerns the use of IoT data to identify employees’ social behavior, physiological data and emotional estates associated with productivity. IoT technology provides real-time data with speedy information retrieval. However, its deployment in office settings is not exempt from risks. Employee workplace surveillance, re-individualization of the IoT data and employee refusal of IoT technology in office settings are the main risks associated with this technology. Originality/value This literature review categorizes IoT application in office settings according to two perspectives and highlights employees' attitudes, user-experience of IoT technology and the risks associated with this technology. These results will help researchers and workplace managers interested in the deployment of this technology in the workplace environment.

Large-cap vs small-cap portfolio performance: new empirical evidence from ETFs

2019 ◽  
Vol 18 (1) ◽  
pp. 71-94
Author(s):  
Gerasimos Rompotis
Keyword(s):  
Design Methodology ◽  
Portfolio Performance ◽  
Exchange Traded Funds ◽  
Investment Strategies ◽  
Time Data ◽  
Content Type ◽  
Risk Characteristics ◽  
The Usa ◽  
First Time ◽  
Practical Implications

PurposeA well-documented pattern in the literature concerns the outperformance of small-cap stocks relative to their larger-cap counterparts. This paper aims to address the “small-cap versus large-cap” issue using for the first time data from the exchange traded funds (ETFs) industry.Design/methodology/approachSeveral raw return and risk-adjusted return metrics are estimated over the period 2012-2016.FindingsResults are partially supportive of the “size effect”. In particular, small-cap ETFs outperform large-cap ETFs in overall raw return terms even though they fail the risk test. However, outperformance is not consistent on an annual basis. When risk-adjusted returns are taken into consideration, small-cap ETFs are inferior to their large-cap counterparts.Research limitations/implicationsThis research only covers the ETF market in the USA. However, given the tremendous growth of ETF markets worldwide, a similar examination of the “small vs large capitalization” issue could be conducted with data from other developed ETF markets in Europe and Asia. In such a case, useful comparisons could be made, so that we could conclude whether the findings of the current study are unique and US-specific or whether they could be generalized across the several international ETF markets.Practical implicationsA possible generalization of the findings would entail that profitable investment strategies could be based on the different performance and risk characteristics of small- and large-cap ETFs.Originality/valueThis is the first study to examine the performance of ETFs investing in large-cap stock indicesvis-à-visthe performance of ETFs tracking indices comprised of small-cap stocks.

scholarly journals Influence of Big Data in managing cyber assets

2019 ◽  
Vol 9 (4) ◽  
pp. 503-514
Author(s):  
Amit Mitra ◽  
Kamran Munir
Keyword(s):  
Big Data ◽  
Asset Management ◽  
Design Methodology ◽  
Insurance Industry ◽  
Manufacturing Industries ◽  
Time Data ◽  
Content Type ◽  
Innovative Leadership ◽  
Data Flows ◽  
Desk Research

Purpose Today, Big Data plays an imperative role in the creation, maintenance and loss of cyber assets of organisations. Research in connection to Big Data and cyber asset management is embryonic. Using evidence, the purpose of this paper is to argue that asset management in the context of Big Data is punctuated by a variety of vulnerabilities that can only be estimated when characteristics of such assets like being intangible are adequately accounted for. Design/methodology/approach Evidence for the study has been drawn from interviews of leaders of digital transformation projects in three organisations that are within the insurance industry, natural gas and oil, and manufacturing industries. Findings By examining the extant literature, the authors traced the type of influence that Big Data has over asset management within organisations. In a context defined by variability and volume of data, it is unlikely that the authors will be going back to restricting data flows. The focus now for asset managing organisations would be to improve semantic processors to deal with the vast array of data in variable formats. Research limitations/implications Data used as evidence for the study are based on interviews, as well as desk research. The use of real-time data along with the use of quantitative analysis could lead to insights that have hitherto eluded the research community. Originality/value There is a serious dearth of the research in the context of innovative leadership in dealing with a threatened asset management space. Interpreting creative initiatives to deal with a variety of risks to data assets has clear value for a variety of audiences.

Ease of product assembly through a time-based design methodology

2019 ◽  
Vol 39 (5) ◽  
pp. 881-903
Author(s):  
Anoop Desai
Keyword(s):  
Product Design ◽  
Design Methodology ◽  
Time Measurement ◽  
Process Time ◽  
Time Data ◽  
Direct Function ◽  
Content Type ◽  
Assembly Time ◽  
Standard Data ◽  
Design Attributes

Purpose This paper aims to present a design methodology to enable product design for ease of assembly. It is corroborated by means of a case study. The methodology is based on standard time data. This enables quick computation of assembly time as well as comparing different design options for ease of assembly. Design/methodology/approach Component design that is easy to assemble is likely to take less time and vice versa. Assembly time is a function of product design attributes such as geometric shape, weight, center of gravity, type of material, number of fasteners and types of fasteners. The methodology uses standard data to achieve its objective. Numeric scores are developed for each design feature based on the aforementioned design attributes. This enables not only computation of assembly time for a brand new product but also comparison of two or more alternative design configurations from the point of view of ease of assembly. Findings The value of the system is corroborated by means of case studies of actual product designs. It is demonstrated that changing any of the underlying design attributes (such as type of fastener used, number of fasteners used, material of the component and component shape) is likely to result in changing the amount of time taken to assemble the product. The scoring system facilitates the quick computation of assembly time Originality/value The amount of time to assemble a product before the product is ever designed is facilitated by this system. Assembly time is a direct function of product design attributes. Process time is calculated using standard data, specifically, the Methods Time Measurement (MTM) system. This is accomplished by converting design features into time measurement units (TMUs). Assembly cost can then be easily computed by using assembly time as the basis. The computation of assembly time and cost is important inasmuch as its role in influencing productivity. This is of obvious value not only to the designer but the company as a whole.

Utilising ontology for “heteregeneous data analysis in organizational goals”

2019 ◽  
Vol 15 (3) ◽  
pp. 310-323
Author(s):  
Tengku Adil Tengku Izhar ◽  
Bernady O. Apduhan ◽  
Torab Torabi
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Design Methodology ◽  
Decision Making Process ◽  
Time Data ◽  
Content Type ◽  
Organizational Goals ◽  
Dependency Relationship ◽  
Operational Level ◽  
The Relationship

Purpose The purpose of this paper is to assess the level of the organizational goal accomplishment by assessing the reliance relationship between organizational data and organizational goals. Design/methodology/approach The evaluation of the organizational goals is based on design and operational level, which can serve in ranking of the organizational goals achievement and hence assist the decision-making process in achieving the organizational goals. To achieve this aim, the authors propose an ontology to develop the relationship between organizational data and organizational goals. Findings Data goals dependency shows the dependency relationship between organizational data and organizational goals. At the same time, data goals dependency assists the process of identifying data attributes, where the authors suggest that these data attributes are relevant in relation to the organizational goals. Originality/value The contribution of this paper will serve as the first step to evaluate the relevance of organizational data to assist decision-making in relation to the organizational goals.

Making use of elephants: lived experience and organisations

2015 ◽  
Vol 19 (3) ◽  
pp. 148-154
Author(s):  
Sarah Paynter ◽  
Christine Rivers
Keyword(s):  
Mental Health ◽  
Lived Experience ◽  
Design Methodology ◽  
Added Value ◽  
Personal Perspective ◽  
Workplace Environment ◽  
Content Type

Purpose – The purpose of this paper is to examine the surrounding attitudes, culture and workplace environment in which Oxleas NHS Foundation trust developed a network for staff with lived experience of mental ill health. Design/methodology/approach – Sarah Paynter completed an interview talking about her experiences with a peer, which was recorded, then the authors picked out relevant themes from this which are grounded in lived experience. The paper examines the theme of lived experience in the workplace in more depth, from a personal perspective (Sarah) and from an organisational perspective (Christine). Findings – There is a lack of dialogue about staff lived experience of mental ill health within the workplace. There are compelling reasons from both the perspective of the organisation and staff with lived experience for setting up a lived experience staff network. The authors note that increased dialogue and visibility has added value on both sides. Originality/value – This is a relatively new initiative in the NHS, and particularly in mental health trusts. The authors speak from their experiences in Oxleas NHS Foundation Trust. This is of value to organisations looking to start dialogue and therefore improve the experiences of staff and the quality of the organisation.

Wearable surveillance – a step too far?

2015 ◽  
Vol 14 (6) ◽  
pp. 214-219 ◽  
Author(s):  
Mike Weston
Keyword(s):  
Design Methodology ◽  
Wearable Sensors ◽  
Wearable Devices ◽  
Third Party ◽  
Security And Privacy ◽  
Technological Innovations ◽  
Content Type ◽  
Ethical Debate ◽  
Increase Productivity ◽  
The Impact

Purpose – This paper aims to look at the benefits, risks and ethics behind introducing wearable sensors into the workplace. There are expected to be more than three billion wearable sensors worldwide by 2025 (Hayward and Chansin, 2015). The emergence of technology that has the capability to closely monitor employees has provoked widespread ethical debate (Joseph et al., 2015, p. 244). Design/methodology/approach – The author undertook a review of the current wearable devices on the market, the impact of previous technological innovations on workplaces and the possible impact of wearable devices on organisations. Findings – Wearable technology has the potential to increase productivity. Businesses that embrace these devices are likely to become leaders in their industries (Li, 2015, p. 4). However, any move to use wearable devices in the workplace must be undertaken with sensitivity, and it is recommended that employee participation in wearables programmes is initially voluntary. Businesses must also ensure employees understand how the data collected will be used, who has access to the data and how it is stored. Use of a third party to collect and analyse the information is recommended as an extra security and privacy measure. Originality/value – The work contained in this paper has not been replicated elsewhere.

scholarly journals An experience sampling approach to the workplace environment survey

Facilities ◽  
2019 ◽  
Vol 38 (1/2) ◽  
pp. 72-85
Author(s):  
Michael Roskams ◽  
Barry Haynes
Keyword(s):  
Design Methodology ◽  
Experience Sampling ◽  
Well Being ◽  
Workplace Environment ◽  
Content Type ◽  
Open Plan ◽  
Survey Responses ◽  
Test Retest Reliability ◽  
Practical Implications ◽  
Sampling Approach

Purpose The purpose of this study is to pilot test the effectiveness of the experience sampling approach for measuring employee satisfaction with the workplace environment. Additionally, the authors also aimed to explore, which aspects of environmental comfort have the strongest impact on momentary well-being and productivity. Design/methodology/approach In total, 15 knowledge workers in an open-plan office environment were sent a brief survey (measuring environmental comfort, momentary well-being and perceived productivity) each day over an 11-day study period and provided 78 individual survey responses in total. Findings All but one of the measures on the survey had low test-retest reliability, indicating that employees’ experiences of environmental comfort varied significantly each time they completed the survey. Additionally, higher environmental comfort was associated with improved well-being and productivity. Practical implications The results suggest that an experience sampling approach to the workplace occupant survey is justified to better capture the temporal variability in experiences of environmental comfort. The results also suggest that improving environmental comfort, particularly by reducing the level of distractions, will enable employees to work more productively. Originality/value To the best of the authors’ knowledge, this is the first field study which has attempted to directly address limitations in traditional occupant surveys by using an experience sampling approach rather than a one-time-only questionnaire.

Visualization concept for maintenance information using wearable devices

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peter Dannenmann
Keyword(s):  
Information Visualization ◽  
Design Methodology ◽  
Wearable Computing ◽  
Wearable Devices ◽  
Aircraft Maintenance ◽  
Content Type ◽  
Current State ◽  
Visualization Techniques ◽  
Maintenance Personnel ◽  
Practical Implications

Purpose The purpose of this paper is to show the current state of methods for information visualization on wearable devices and demonstrate how these devices and methods can be used to support the work of aircraft maintenance engineers. This paper develops a path to make aircraft maintenance tasks more efficient and safe by providing relevant and important information to maintenance personnel matching the task they are currently working on. Design/methodology/approach The current researchers elaborate prerequisites that wearable computing devices have to meet to use them in aircraft maintenance. Based on these prerequisites the researchers evaluate such existing devices and visualization techniques with regard to how they can be used to visualize information in aircraft maintenance processes. Findings This paper elaborates a roadmap how wearable devices can be applied in future aircraft maintenance scenarios. It also shows that augmented reality (AR) is a technology that shows great potential to support aircraft maintenance staff. The current researchers develop a scenario, how AR applications on wearable devices support such tasks. Practical implications The implementation of the maintenance scenario that is developed in this paper will vastly reduce the possibilities of mistakes by maintenance personnel. This leads to more efficient maintenance processes and further increases the safety of aviation in general. Originality/value Although AR today already is used in fields of application like gaming, an application of this technology in a safety-critical environment is not known to the author. This paper provides a step towards extending the application domains of this technology to aircraft maintenance.

Feasibility of smart wearables for driver drowsiness detection and its potential among different age groups

2020 ◽  
Vol 16 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Thomas Kundinger ◽  
Phani Krishna Yalavarthi ◽  
Andreas Riener ◽  
Philipp Wintersberger ◽  
Clemens Schartmüller
Keyword(s):  
Heart Rate ◽  
Driving Simulator ◽  
Age Groups ◽  
Wearable Devices ◽  
Physiological Data ◽  
Age Group ◽  
Data Set ◽  
Content Type ◽  
Drowsiness Detection ◽  
Driver Drowsiness

Purpose Drowsiness is a common cause of severe road accidents. Therefore, numerous drowsiness detection methods were developed and explored in recent years, especially concepts using physiological measurements achieved promising results. Nevertheless, existing systems have some limitations that hinder their use in vehicles. To overcome these limitations, this paper aims to investigate the development of a low-cost, non-invasive drowsiness detection system, using physiological signals obtained from conventional wearable devices. Design/methodology/approach Two simulator studies, the first study in a low-level driving simulator (N = 10) to check feasibility and efficiency, and the second study in a high-fidelity driving simulator (N = 30) including two age groups, were conducted. An algorithm was developed to extract features from the heart rate signals and a data set was created by labelling these features according to the identified driver state in the simulator study. Using this data set, binary classifiers were trained and tested using various machine learning algorithms. Findings The trained classifiers reached a classification accuracy of 99.9%, which is similar to the results obtained by the studies which used intrusive electrodes to detect ECG. The results revealed that heart rate patterns are sensitive to the drivers’ age, i.e. models trained with data from one age group are not efficient in detecting drowsiness for another age group, suggesting to develop universal driver models with data from different age groups combined with individual driver models. Originality/value This work investigated the feasibility of driver drowsiness detection by solely using physiological data from wrist-worn wearable devices, such as smartwatches or fitness trackers that are readily available in the consumer market. It was found that such devices are reliable in drowsiness detection.

On being a good library supervisor

2014 ◽  
Vol 27 (1) ◽  
pp. 14-16
Author(s):  
Gary Fitsimmons
Keyword(s):  
Design Methodology ◽  
Social Implications ◽  
Complex Nature ◽  
Workplace Environment ◽  
Content Type ◽  
Practical Implications

Purpose – This article’s purpose is to discuss what is necessary to being a good library supervisor. Design/methodology/approach – The article defines the meaning of being a good supervisor and then expands on that definition, including what it takes to get there. Findings – The article finds that being a good library supervisor requires much more than knowledge of the profession. Practical implications – The person aspiring to being a good supervisor must know what is required and be willing to take the steps to get there. Social implications – Being a good supervisor involves managing the complex interrelationships between the supervisor, his or her supervisor, the supervisees, the clients and anyone else involved in the workplace environment. Originality/value – The value of the article is in forming a picture of the complex nature of good supervision.

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