Internet of Things enabling condition-based maintenance in elevators service

2019 ◽  
Vol 25 (4) ◽  
pp. 563-588 ◽  
Author(s):  
Chia Tai Angus Lai ◽  
Wei Jiang ◽  
Paul R. Jackson
Keyword(s):  
Internet Of Things ◽  
Real World ◽  
Theoretical Perspective ◽  
Condition Based Maintenance ◽  
Advanced Technology ◽  
Content Type ◽  
Safety And Reliability ◽  
Collection Data ◽  
Economic Perspectives

Purpose The purpose of this paper is to demonstrate how Internet of Things (IoT) technology can enable highly distributed elevator equipment servicing by using remote-monitoring technology to facilitate a shift from traditional corrective maintenance (CM) and time-based maintenance (TBM) to more predictive, condition-based maintenance (CBM) in order to achieve various benefits. Design/methodology/approach Literature review indicates that CBM has advantages over conventional CM and TBM from a theoretical perspective, but it depends on continuous monitoring enhancement via advanced IoT technology. An in-depth case study was carried out to provide practical evidence that IoT enables elevator firms to achieve CBM. Findings From a theoretical perspective, the CBM of elevators makes business sense. The challenges lie in data collection, data analysis and decision making in real-world business contexts. The main findings of this study suggest that CBM can be commercialized via IoT in the case of elevators and would improve the safety and reliability of equipment. It would, thus, make sense from technological, process and economic perspectives. Practical implications Our longitudinal real-world case study demonstrates a practical way of making the CBM of elevators widespread. Integrating IoT and other advanced technology would improve the safety and reliability of elevator equipment, prolong its useful life, minimize inconvenience and business interruptions due to equipment downtime and reduce or eliminate major repairs, thus greatly reducing maintenance costs. Originality/value The main contribution of this paper lies in the empirical demonstration of the benefits and challenges of CBM via IoT relative to conventional CM and TBM in the case of elevators. The authors believe that this study is timely and will be valuable to firms working on similar research or commercialization strategies.

Unlocking the value of HR to drive a change-ready culture

2017 ◽  
Vol 16 (4) ◽  
pp. 171-176
Author(s):  
Campbell Macpherson
Keyword(s):  
Real World ◽  
Culture Change ◽  
Design Methodology ◽  
Lessons Learned ◽  
World Culture ◽  
Content Type ◽  
Large Organization ◽  
The Real ◽  
Personal Experiences

Purpose This paper aims to present a case study focused on developing a change-ready culture within a large organization. Design/methodology/approach This paper is based on personal experiences gleaned while driving an organization-wide culture change program throughout a major financial advisory firm. Findings This paper details over a dozen key lessons learned while transforming the HR department from a fragmented, ineffective, reclusive and disrespected department into one that was competent, knowledgeable, enabling and a leader of change. Originality/value Drawing on the real-world culture change intervention detailed here, including results and lessons learned, other organizations can apply similar approaches in their own organizations – hopefully to similar effect.

Challenges to measuring social value creation through social impact assessments: the case of RVA Works

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Balashankar Mulloth ◽  
Stefano Rumi
Keyword(s):  
Value Creation ◽  
Real World ◽  
Social Enterprise ◽  
Social Impact ◽  
Social Value ◽  
Impact Measurement ◽  
Social Entrepreneurs ◽  
Content Type ◽  
Social Value Creation

PurposeDespite the prevalence of academic literature debating and proposing competing conceptions of social value creation through socially driven enterprises, there is a lack of empirical studies on established impact measurement methodologies in the context of real-world ventures. The purpose of this paper is to illustrate a structured process of conducting social impact assessments (SIAs) through the real-world case of Richmond, Virginia Works Enterprise Support (RVA Works), a social enterprise in Richmond, Virginia, that provides educational programming on small business ownership to minorities and lower-income individuals.Design/methodology/approachThis qualitative research study incorporates an in-depth case study methodology. Evidence was collected through interpretive/qualitative interviews and direct observations by the researchers.FindingsUsing the example of RVA Works, the authors show that there is a lack of standardization and guidance for social entrepreneurs in choosing methods to assess their organizational performance, and that leading conceptions of social impact continue to face key weaknesses in their methodologies.Practical implicationsBy incorporating a qualitative case study approach, the authors present a real-world study of a social enterprise – specifically a microenterprise development organization – that may serve as a valuable example to social entrepreneurs and not-for-profit leaders facing similar challenges of social value creation and impact measurement.Originality/valueIn studying the experience of conducting SIAs by social enterprises, the authors illustrate the real-world challenges faced by entrepreneurs in applying theoretical conceptions of social value to the outcomes of their ventures, thus illustrating a need for additional clarity and discussion around a more comprehensive, standardized and broadly applicable measurement approach.

scholarly journals The drivers of omni-channel shopping intention: a case study for fashion retailing sector in Danang, Vietnam

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thi Hieu Hanh Truong
Keyword(s):  
Design Methodology ◽  
Recent Literature ◽  
Theoretical Perspective ◽  
Point Of View ◽  
Content Type ◽  
Customer Perception ◽  
Channel Strategy ◽  
Retail Setting ◽  
Managerial Perspective

PurposeThe purpose of this paper is to look into the mechanism in which customers involve themselves in omni-channel retail setting and use its advantages.Design/methodology/approachVia an empirical analysis through surveying customers, this paper assesses and confirms the drivers of omni-channel shopping intention within the context of fashion retailing sector in Danang.FindingsThe findings highlight the significance of customer perception of research shopping (including showrooming and webrooming) behaviours, compatibility and risk to their intention towards omni-channel shopping, implying profound understanding of designing effective omni-channel retailing strategy.Originality/valueFrom a theoretical perspective, comprehending customer perception of the omni-channel concept has emerged as an important theme in recent literature as well as in practitioners' reports. Hence, the meaningful contribution of this study is the involvement in the attractive steam of study. From a managerial perspective, this study could offer guidance to retailers or managers about developing a successful omni-channel strategy from a customer point of view.

scholarly journals Condition-based maintenance for major airport baggage systems

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Frank Koenig ◽  
Pauline Anne Found ◽  
Maneesh Kumar ◽  
Nicholas Rich
Keyword(s):  
Capital Investment ◽  
High Speed ◽  
Low Cost ◽  
Middle Eastern ◽  
Image Data ◽  
Condition Based Maintenance ◽  
Advanced Technology ◽  
Dynamic Monitoring ◽  
Content Type ◽  
Baggage Handling

PurposeThe aim of this paper is to develop a contribution to knowledge that adds to the empirical evidence of predictive condition-based maintenance by demonstrating how the availability and reliability of current assets can be improved without costly capital investment, resulting in overall system performance improvementsDesign/methodology/approachThe empirical, experimental approach, technical action research (TAR), was designed to study a major Middle Eastern airport baggage handling operation. A predictive condition-based maintenance prototype station was installed to monitor the condition of a highly complex system of static and moving assets.FindingsThe research provides evidence that the performance frontier for airport baggage handling systems can be improved using automated dynamic monitoring of the vibration and digital image data on baggage trays as they pass a service station. The introduction of low-end innovation, which combines advanced technology and low-cost hardware, reduced asset failures in this complex, high-speed operating environment.Originality/valueThe originality derives from the application of existing hardware with the combination of edge and cloud computing software through architectural innovation, resulting in adaptations to an existing baggage handling system within the context of a time-critical logistics system.

An areal openness model (AOM) for quantifying the “openness” of floor plans

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zoraya Roldán Rockow ◽  
Brandon E. Ross
Keyword(s):  
Real World ◽  
Design Methodology ◽  
Floor Plan ◽  
Existing Buildings ◽  
Content Type ◽  
Alternative Plan ◽  
Proposed Model ◽  
Reasonable Approach ◽  
Floor Plans

PurposeThis paper aims to describe and demonstrate a quantitative areal openness model (AOM) for measuring the openness of floor plans. Creation of the model was motivated by the widely reported but rarely quantified link between openness and adaptability.Design/methodology/approachThe model calculates values for three indicators: openness score (OS), weighted OS (WOS) and openness potential (OP). OS measures the absence of obstructions (walls, chases, columns) that separate areas in a floor plan. WOS measures the number of obstructions while also accounting for the difficulty of removing them. OP measures the potential of a floor plan to become more open. Indicators were calculated for three demolished case study buildings and for three adapted buildings. The case study buildings were selected because openness – or lack thereof – contributed to the owners' decisions to demolish or adapt.FindingsOpenness indicators were consistent with the real-world outcomes (adaptation or demolition) of the case study buildings. This encouraging result suggests that the proposed model is a reasonable approach for comparing the openness of floor plans and evaluating them for possible adaptation or demolition.Originality/valueThe AOM is presented as a tool for facility managers to evaluate inventories of existing buildings, designers to compare alternative plan layouts and researchers to measure openness of case studies. It is intended to be sufficiently complex as to produce meaningful results, relatively simple to apply and readily modifiable to suit different situations. The model is the first to calculate floor plan openness within the context of adaptability.

How the Internet of Things can help knowledge management: a case study from the automotive domain

2017 ◽  
Vol 21 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Lorna Uden ◽  
Wu He
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Internet Of Things ◽  
Current Knowledge ◽  
Time Data ◽  
Content Type ◽  
Useful Knowledge ◽  
Iot Devices ◽  
The Internet Of Things

Purpose Current knowledge management (KM) systems cannot be used effectively for decision-making because of the lack of real-time data. This study aims to discuss how KM can benefit by embedding Internet of Things (IoT). Design/methodology/approach The paper discusses how IoT can help KM to capture data and convert data into knowledge to improve the parking service in transportation using a case study. Findings This case study related to intelligent parking service supported by IoT devices of vehicles shows that KM can play a role in turning the incoming big data collected from IoT devices into useful knowledge more quickly and effectively. Originality/value The literature review shows that there are few papers discussing how KM can benefit by embedding IoT and processing incoming big data collected from IoT devices. The case study developed in this study provides evidence to explain how IoT can help KM to capture big data and convert big data into knowledge to improve the parking service in transportation.

Big data and Internet of Things (IoT) technologies in Omani banks: a case study

foresight ◽  
2017 ◽  
Vol 19 (4) ◽  
pp. 409-420 ◽  
Author(s):  
Stuti Saxena ◽  
Tariq Ali Said Mansour Al-Tamimi
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Banking Sector ◽  
Big Data Analytics ◽  
It Infrastructure ◽  
Major Step ◽  
Content Type ◽  
External Data ◽  
Security Infrastructure

Purpose The purpose of this paper is to underline the significance of invoking Big Data and Internet of Things (IoT) technologies in Omani Banks. Opportunities and challenges are also being discussed in the case study. Design/methodology/approach Four Omani banks representative of local, international, Islamic and specialized banks are being studied in terms of their social networking presence on Facebook and their e-banking facilities. Also, impetus is laid upon the aggregation of internal data and vast amounts of semi-structured external data from public sources, including social media. Findings The case study shows that Big Data analytics and IoT technologies may be utilized by the Omani banks for facilitating them in “forecasting” and “nowcasting”. Besides, customers may be better managed with better and efficient services. However, there are challenges in tapping these technologies such as security, infrastructure, regulatory norms, etc. Practical implications Banks in Oman need to appreciate the utility of Big Data and IoT technologies, and for this, a robust IT infrastructure should be institutionalized. Originality/value The case study is a major step in integrating Big Data and IoT technologies in Omani banks across four variants of national, international, Islamic and specialized banks. This is the first study where such integration has been emphasized in the Omani banking sector.

A cross-level model of legitimacy-driven institutional change

2020 ◽  
Vol 14 (3) ◽  
pp. 751-767
Author(s):  
Yan Guo ◽  
Liran Chen ◽  
Shih-Chieh Fang ◽  
Chen-Wei Yang
Keyword(s):  
Institutional Change ◽  
Negative Impact ◽  
Theoretical Perspective ◽  
Organizational Level ◽  
Market Forces ◽  
Historical Inquiry ◽  
Content Type ◽  
Field Level ◽  
Level Model

Purpose The purpose of this study is to develop a cross-level model of legitimacy-driven institutional change in a Chinese management context; in other words, changes that start out as legitimacy gaining processes by green enterprises but result in a shift in field-level market logic. Design/methodology/approach A case study using a historical inquiry approach and in-depth interviews has been used to qualitatively analyze the authors’ case in the Chinese photovoltaic industry. Findings The study proposes a cross-level explanation of institutional change by demonstrating how institutional change can create market forces at a field level that seemingly originate from an increase in the number of legitimated enterprises. This may negatively influence enterprises’ ongoing legitimacy gaining process for their survival at the organizational level in an institutional environment. Research limitations/implications The theoretical perspective helps improve descriptions of institutional change and develop a much-needed multi-level understanding of green enterprises in the highly institutionalized green industry. However, this case study may raise the concern of generalizability; thus, an additional survey is necessary. Practical implications As organizational field-level market forces are endorsed and transformed in the legitimacy gaining activities of green enterprises, a green enterprise manager should be aware of its negative impact on their legitimacy gaining process and ultimate survival. Originality/value The authors’ model proposes a cross-level explanation of institutional change by demonstrating how institutional change can create market forces at a field level that seemingly originate from an increase in the number of legitimated enterprises. Consequently, this may negatively influence the enterprises’ legitimacy gaining process.

Stock keeping unit rationalization: a cross-functional, cross-firm perspective

2019 ◽  
Vol 30 (4) ◽  
pp. 994-1015
Author(s):  
Matias G. Enz ◽  
Matthew A. Schwieterman ◽  
Douglas M. Lambert
Keyword(s):  
Single Case ◽  
Theoretical Perspective ◽  
Product Variety ◽  
Success Factor ◽  
Supplier Relationships ◽  
Content Type ◽  
Critical Success ◽  
Functional Involvement ◽  
The Impact

Purpose Although managers have struggled with SKU proliferation for decades, research has provided inconsistent guidance, and the cross-functional and cross-firm aspects of the problem were not considered. The purpose of this paper is to explore the factors that favor successful and sustainable SKU rationalization. Design/methodology/approach A single case study was used to investigate the implementation of an SKU rationalization project by a national restaurant chain in collaboration with its food distributor. Qualitative data analysis techniques were used to understand managers’ perceptions about the SKU rationalization problem and the financial results that were achieved. Findings The findings include seven propositions that begin to formalize theory for SKU rationalization. Cross-functional involvement was both a challenge and a critical success factor, and the supplier was an important resource for managing product variety and complexity. Research limitations/implications Seven propositions are provided that increase the likelihood of successfully dealing with SKU proliferation. Practical implications SKU proliferation increases supply chain complexity and leads to higher costs. The research reports on an SKU rationalization project that saved a company and its supplier $6.7m. Originality/value A previously unexplored theoretical perspective on SKU rationalization was employed that emphasizes cross-functional alignment, buyer–supplier relationships and the impact on financial performance of a firm.

scholarly journals A multi-objective evolutionary algorithm-based soft computing model for educational data mining

2017 ◽  
Vol 12 (1) ◽  
pp. 106-123
Author(s):  
Choo Jun Tan ◽  
Ting Yee Lim ◽  
Chin Wei Bong ◽  
Teik Kooi Liew
Keyword(s):  
Student Achievement ◽  
Evolutionary Algorithm ◽  
Soft Computing ◽  
Real World ◽  
Classification Accuracy ◽  
Content Type ◽  
Computing Model ◽  
Model Based ◽  
Proposed Model

Purpose The purpose of this paper is to propose a soft computing model based on multi-objective evolutionary algorithm (MOEA), namely, modified micro genetic algorithm (MmGA) coupled with a decision tree (DT)-based classifier, in classifying and optimising the students’ online interaction activities as classifier of student achievement. Subsequently, the results are transformed into useful information that may help educator in designing better learning instructions geared towards higher student achievement. Design/methodology/approach A soft computing model based on MOEA is proposed. It is tested on benchmark data pertaining to student activities and achievement obtained from the University of California at Irvine machine learning repository. Additional, a real-world case study in a distance learning institution, namely, Wawasan Open University in Malaysia has been conducted. The case study involves a total of 46 courses collected over 24 consecutive weeks with students across the entire regions in Malaysia and worldwide. Findings The proposed model obtains high classification accuracy rates at reduced number of features used. These results are transformed into useful information for the educational institution in our case study in an effort to improve student achievement. Whether benchmark or real-world case study, the proposed model successfully reduced the number features used by at least 48 per cent while achieving higher classification accuracy. Originality/value A soft computing model based on MOEA, namely, MmGA coupled with a DT-based classifier, in handling educational data is proposed.

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