Fereshte Shabani-Naeeni and R. Ghasemy Yaghin
In the data-driven era, the quality of the data exchanged between suppliers and buyer can enhance the buyer’s ability to appropriately cope with the risks and uncertainties…
Abstract
Purpose
In the data-driven era, the quality of the data exchanged between suppliers and buyer can enhance the buyer’s ability to appropriately cope with the risks and uncertainties associated with raw material purchasing. This paper aims to address the issue of supplier selection and purchasing planning considering the quality of data by benefiting from suppliers’ synergistic effects.
Design/methodology/approach
An approach is proposed to measure data visibility’s total value using a multi-stage algorithm. A multi-objective mathematical optimization model is then developed to determine the optimal integrated purchasing plan in a multi-product setting under risk. The model contemplates three essential objective functions, i.e. maximizing total data quality and quantity level, minimizing purchasing risks and minimizing total costs.
Findings
With emerging competitive areas, in the presence of industry 4.0, internet of things and big data, high data quality can improve the process of supply chain decision-making. This paper supports the managers for the procurement planning of modern organizations under risk and thus provides an in-depth understanding for the enterprises having the readiness for industry 4.0 transformation.
Originality/value
Various data quality attributes are comprehensively subjected to deeper analysis. An applicable procedure is proposed to determine the total value of data quality and quantity required for supplier selection. Besides, a novel multi-objective optimization model is developed to determine the purchasing plan under risk.
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Somayeh Roshanfekr, N.M. Tawil and N.A. Goh
This research work is an introduction to sustainable construction. A few significant indicators and many related subsets, which are crucial to green sustainable construction and…
Abstract
This research work is an introduction to sustainable construction. A few significant indicators and many related subsets, which are crucial to green sustainable construction and also to green buildings, are mentioned in this study. An ecocity is one that utilizes all the critical elements of the environment. Urban sustainable construction is a vital criterion in this context. Sustainable construction paves the way for the building industry to progress towards achieving realistic standards of performance, particularly in view of economic, environmental, and social concerns. Sustainability is a popular expression that has given rise to various activities throughout the world once people began to grasp the implications of sustainable construction. Sustainability, which is an important factor in reducing the negative environmental effects of construction, includes improving the control and efficiency in the use of raw materials, land and power consumption. The lifetime of a building is based on some factors that are prognostic regarding the manufacture, remodelling, support, utilization, and administration of the building, and finally, the sources of utilization and waste formation, annihilation and devastation. All of these give rise to a range of ecological issues in the life of a building. Generally, a sustainable building and construction involves a reduction in the utilization of energy and also wastage from the beginning of the construction process and throughout the lifecycle of the building. Moreover, the environment is faced with mounting devastation due to the exploitation of natural resources for building construction and the replacement of agronomic regions by residential areas.
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Some of the frequently asked questions about the what, why, when, how, where and who of statistical quality engineering are discussed. Questions answered include: “What would be an…
Abstract
Some of the frequently asked questions about the what, why, when, how, where and who of statistical quality engineering are discussed. Questions answered include: “What would be an active approach to the objectives of statistical quality engineering?” “How is statistical quality engineering related to Six Sigma?” The concepts, techniques and illustrations, explained in a non‐mathematical language, are useful to both management and technical personnel interested in strategies and tools for cost‐effective quality improvement.
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Control charts based on geometric distribution have shown to be useful when this is a better approximation of the underlying distribution than the Poisson distribution. The…
Abstract
Control charts based on geometric distribution have shown to be useful when this is a better approximation of the underlying distribution than the Poisson distribution. The traditional c‐chart, if used, will cause too many false alarms. It is noted that for geometric distribution, the control limits are based on k times standard deviation which has been used previously, will cause a frequent false alarm, and cannot derive any reasonable lower control limits. Studies the use of probability limits to resolve these problems. Also discusses the use of geometric distribution for process control of high‐yield processes.
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When objective decisions are to be made, statistical methods should be used based on any objective information in the form of data collected about a product or process…
Abstract
When objective decisions are to be made, statistical methods should be used based on any objective information in the form of data collected about a product or process. Statistical techniques such as control charts, process capability indices and design of experiments have been used in the manufacturing industry for many years. There are a number of practical and managerial issues related to the application of statistical techniques in studies aimed at improving process and product quality. This paper is a summary of the thoughts and discussions from a recent Internet conference on this issue. Statistical process control techniques and their role in process improvement are first discussed and some issues related to the interpretation and use of experimental design techniques are also summarised. The focus will be on continuous quality improvement using statistical techniques.
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Saroj Koul, Pranav Kashyap, Ashutosh Singh and Atul V.
This study's purpose is to collate data on the existing Green Public Procurement (GPP) legal policies, frameworks and initiatives at the global level and, second, to identify the…
Abstract
This study's purpose is to collate data on the existing Green Public Procurement (GPP) legal policies, frameworks and initiatives at the global level and, second, to identify the conditions required for implementing green procurement practices and programs in developing countries such as India. A structured literature review was conducted using the search terms ‘Green Public Procurement’, 'Policy’ and ‘India’. Reports, technical papers and articles in a language other than English were excluded from the search. Finally, 20 papers were shortlisted and reviewed. The study found that GPP has begun taking shape globally and necessitates capacity building at many levels, including knowledge sharing, sourcing resources, fiscal re-distribution and public awareness. National governments emerge as key players in facilitating sustainable procurement, while international bodies continue to develop prospective policy frameworks. However, GPP is at its nascency in India and will require significant pre-assessment and planning to standardize itself among big and medium enterprises. While GPP allows for environmental consciousness, its use in India also presents the potential for innovation and expanding the consumer market. Its establishment requires the government to implement a centralized body that directs GPP activity, incentivizes green technology and develops policies favouring multi-level collaboration. Further research can involve in-depth interviewing of key people in Public Procurement (PP) processes to gauge the preparedness and seriousness of the government to undertake green procurement and understand the inherent challenges in transitioning to more sustainable procurement modalities.
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The purpose of this paper is to discuss areas where there could be gaps between traditional quality management concepts and the reality, and point out the modern‐day paradigm…
Abstract
Purpose
The purpose of this paper is to discuss areas where there could be gaps between traditional quality management concepts and the reality, and point out the modern‐day paradigm shifts as thoughts and ideals of the past gradually give way to realistic assessments and concrete tools of the present.
Design/methodology/approach
The past practice of “Quality by will power” or “Quality by change in mindset” is contrasted with the down‐to‐earth approach typified in the Six Sigma framework. It is explained that excellence cannot be achieved simply because there is a management desire to see it happen.
Findings
Some customers have been disillusioned by slogans and public‐relations pronouncements; in fact, even some quality managers seem not to be aware of the conceptual pitfalls they have set from themselves. Fundamentally, only realistic tools based on statistical thinking can bring about real and sustainable quality improvement.
Practical implications
It is maintained that quality improvement efforts, especially in the service sectors, would become a delusion if the age‐old concept of “bottom up” or behavioral transformation becomes the mainstay of quality management. The sense of inadequacy as reflected by the title of this paper could not be resolved unless a fresh look is taken at what is really effective, as detailed in the paper.
Originality/value
It used to be politically correct to insist that quality is everybody's responsibility, and that improvements must take place in every sphere – “company‐wide continuous improvement”, as if the realm of Quality is a democracy and improvements are meant to take place simultaneously everywhere. This paper highlights the background of the hierarchical nature of quality improvement personnel and the value of prioritization efforts.
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Zhong Tang, Dion Hoe-Lian Goh, Chei Sian Lee and Yihao Yang
This paper aims to confront the rising threat of deepfake videos, focusing on the limited research on deepfake detection strategies among seniors. The study thus investigates…
Abstract
Purpose
This paper aims to confront the rising threat of deepfake videos, focusing on the limited research on deepfake detection strategies among seniors. The study thus investigates seniors’ video credibility conceptualizations and identifies their deepfake detection strategies.
Design/methodology/approach
This study employed semi-structured interviews with 20 seniors aged 55 to 70. Areas covered include their perceptions of video information credibility and identification strategies undertaken. Qualitative content analysis was conducted to interpret interview responses.
Findings
Seniors emphasized the importance of objectivity, trustworthiness, believability, reliability and truthfulness in terms of video credibility. Regarding strategies for assessing video credibility, seniors employed five categories: character appearance, non-human visuals, audio, personal knowledge and external sources.
Originality/value
This study contributes to the literature on human-oriented deepfake detection strategies by uncovering diverse methods employed by seniors. It enhances the understanding of how individuals assess video credibility in the context of deepfakes. Furthermore, this study offers practical and applicable strategies for real-world deepfake detection.
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The purpose of this paper is to address the gender digital divide through the adoption of information and communication technologies (ICTs) by reviewing existing knowledge within…
Abstract
Purpose
The purpose of this paper is to address the gender digital divide through the adoption of information and communication technologies (ICTs) by reviewing existing knowledge within the field. This paper explores the characteristics and factors contributing to the gender digital divide. To bridge the gender digital divide, it is important to understand the factors behind gender differences in ICT access and use.
Design/methodology/approach
In this study, the systematic literature review was conducted in accordance with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach. In total, 24 articles were selected and analysed with using PRISMA steps.
Findings
Despite a significant increase in usage of the internet and other ICTs around the world, women, especially in developing countries, tend to be on the wrong side of the digital divide. The results indicate that while there are still gender differences in access to ICT in developing countries, second-level digital divide issues are more of a concern in developed countries. In the literature, several important factors have been identified as being associated with the gender digital divide. The results highlight the importance of implementable policies to bridge the gender digital divide, as well as how sociocultural factors play an important role in explaining the gender digital divide phenomenon.
Originality/value
By identifying the gender digital divide studies’ characteristics and factors contributing to the gender digital divide, the authors provide an overview of the existing research, allowing us to discuss future research needs within the field. The authors argue that more research is needed to understand how to better address the sociocultural factors affecting the gender digital divide, to understand why equal access seems not to result in equal use and, to understand the consequences of the COVID-19 pandemic on the gender digital divide.
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Sandra E. Strasser, Ceyhun Ozgur and David L. Schroeder
According to the Chronicle of Higher Education (2001), 15 percent of entering freshmen believe that there is a good chance they will change their college major and 8 percent are…
Abstract
According to the Chronicle of Higher Education (2001), 15 percent of entering freshmen believe that there is a good chance they will change their college major and 8 percent are undecided. To gain insight into the criteria that students use to select a major, a model of the student decision making process was developed using the Analytic Hierarchy Process (AHP). This model predicted student’s first choice major with 88 percent accuracy for sophomores and seniors. An analysis of the criteria revealed judgement inconsistencies, particularly for accounting, finance, and decision science majors. Not surprisingly, sophomores were more inconsistent in their decision making than were seniors. It was also determined that students clustered the majors into two separate groups, viewing accounting, finance and decision science majors differently than marketing and management majors