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Article
Publication date: 15 May 2019

Som Sekhar Bhattacharyya and Srikant Nair

The world is witnessing the advent of a wide range of technologies like machine learning, big data analytics, artificial intelligence, blockchain technology, robotics, additive…

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Abstract

Purpose

The world is witnessing the advent of a wide range of technologies like machine learning, big data analytics, artificial intelligence, blockchain technology, robotics, additive manufacturing, augmented and virtual reality, cloud computing, Internet of Things and such others. Amidst this concoction of diverse technologies, the future of work is getting redefined. Thus, the purpose of this paper is to understand the future of work in the context of an emerging economy like India.

Design/methodology/approach

The authors undertook a qualitative research with a positivist approach. The authors undertook expert interviews with 26 respondents. The respondents were interviewed with a semi-structured open-ended questionnaire. The responses were content analyzed for themes. System dynamics was applied to explicate the phenomenon studied.

Findings

The authors found that the future of work has multiple facets. The authors found that in future, organizations would not only use automation for lower end routine manual jobs, but also for moderate knowledge-centric tasks. Future jobs would have significant data dependency, and employees would be expected to analyze and synthesize data for sense making. Another finding pointed out that in future, individuals would be constantly required for skills upgradation and thus learning would become a continuous lifelong process. In future, individuals would get short-term tasks rather than long-term secured jobs. Thus, job flexibility would be high as freelancing would be a dominant way of work. Organizations would reduce dedicated workspaces and would use co-working spaces to reduce office space investments. In future, jobs that are impregnated with novelty and creativity would remain. A finding of concern was that with the advent of automated technologies a larger portion of workforce would lose jobs and there could be widespread unemployment that might lead to social unrest. The provision of universal basic income has been advocated by some experts to handle social crisis.

Research limitations/implications

This research is based on an organization centric view that is anchored in the resource-based view and dynamic capabilities. The research contributes to the conversation of human resource co-existence with automated technologies for organizations of tomorrow. Thus, this work specifically contributes to strategic human resource with technology capabilities in organizations.

Practical implications

These research findings would help organizational design and development practitioners to comprehend what kind of interventions would be required to be future ready to both accommodate technology and human resources. For policy makers, the results of this study would help them design policy interventions that could keep the nation’s workforce job ready in the age of automated technologies through investments in automated technology education.

Originality/value

India is bestowed with one of the largest English-speaking, technically qualified young workforce working at lower salary levels than their developed county counterparts. The advent of automated technologies ushers in challenges and opportunities for this young qualified workforce to step into future. This is the first study from India that deliberates on the “future of work” in India.

Details

Journal of Management Development, vol. 38 no. 3
Type: Research Article
ISSN: 0262-1711

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Book part
Publication date: 21 July 2004

Abstract

Details

Advances in Management Accounting
Type: Book
ISBN: 978-0-76231-118-7

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Case study
Publication date: 8 August 2023

Jagandeep Singh

By analyzing and discussing the case, students should be able to identify macro environmental factors that impact business decision-making; apply Michael Porter’s five forces…

Abstract

Learning outcomes

By analyzing and discussing the case, students should be able to identify macro environmental factors that impact business decision-making; apply Michael Porter’s five forces framework; evaluate sources of synergy; understand the concept of disruptive innovation; choose sources of competitive advantage; apply the value proposition canvas; and apply tenets of Blue Ocean strategy.

Case overview/synopsis

The grocery retail market in India accounts for nearly 70% ($608bn) of the total retail market ($883bn). The brick-and-mortar multi-tiered distribution network for groceries encompasses a million wholesalers and distributors and 12 million retail outlets. These retail outlets serve as customer touch points where bulk of grocery shopping is done. The online grocery industry is a miniscule $5.5bn. High incomes, change in purchase behaviour, inclination towards speed and convenience on the demand side and alacrity on the supply side have paved the way for new format, quick commerce. Trends and forecasts suggest that quick commerce, a high cash burn business, will grow exponentially. Zomato has jumped onto the quick commerce bandwagon with the acquisition of loss-making Blinkit. The case analyses the quick commerce industry through the lens of Michael Porter’s five forces framework and the Blue Ocean strategy. It elaborates the profitability drivers of the industry and also examines the sources of synergy from the acquisition.

Complexity academic level

This case is suitable for a class on strategy in postgraduate-level courses. It can be used in a session on entrepreneurship and innovation.

Supplementary materials

Teaching notes are available for educators only.

Subject code

CSS 11: Strategy.

Details

Emerald Emerging Markets Case Studies, vol. 13 no. 2
Type: Case Study
ISSN: 2045-0621

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Article
Publication date: 25 February 2020

Wolfram Höpken, Marcel Müller, Matthias Fuchs and Maria Lexhagen

The purpose of this study is to analyse the suitability of photo-sharing platforms, such as Flickr, to extract relevant knowledge on tourists’ spatial movement and point of…

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Abstract

Purpose

The purpose of this study is to analyse the suitability of photo-sharing platforms, such as Flickr, to extract relevant knowledge on tourists’ spatial movement and point of interest (POI) visitation behaviour and compare the most prominent clustering approaches to identify POIs in various application scenarios.

Design/methodology/approach

The study, first, extracts photo metadata from Flickr, such as upload time, location and user. Then, photo uploads are assigned to latent POIs by density-based spatial clustering of applications with noise (DBSCAN) and k-means clustering algorithms. Finally, association rule analysis (FP-growth algorithm) and sequential pattern mining (generalised sequential pattern algorithm) are used to identify tourists’ behavioural patterns.

Findings

The approach has been demonstrated for the city of Munich, extracting 13,545 photos for the year 2015. POIs, identified by DBSCAN and k-means clustering, could be meaningfully assigned to well-known POIs. By doing so, both techniques show specific advantages for different usage scenarios. Association rule analysis revealed strong rules (support: 1.0-4.6 per cent; lift: 1.4-32.1 per cent), and sequential pattern mining identified relevant frequent visitation sequences (support: 0.6-1.7 per cent).

Research limitations/implications

As a theoretic contribution, this study comparatively analyses the suitability of different clustering techniques to appropriately identify POIs based on photo upload data as an input to association rule analysis and sequential pattern mining as an alternative but also complementary techniques to analyse tourists’ spatial behaviour.

Practical implications

From a practical perspective, the study highlights that big data sources, such as Flickr, show the potential to effectively substitute traditional data sources for analysing tourists’ spatial behaviour and movement patterns within a destination. Especially, the approach offers the advantage of being fully automatic and executable in a real-time environment.

Originality/value

The study presents an approach to identify POIs by clustering photo uploads on social media platforms and to analyse tourists’ spatial behaviour by association rule analysis and sequential pattern mining. The study gains novel insights into the suitability of different clustering techniques to identify POIs in different application scenarios.

摘要 研究目的

本论文旨在分析图片分享平台Flickr对截取游客空间动线信息和景点(POI)游览行为的适用性, 并且对比最知名的几种聚类分析手段, 以确定不同情况下的POI。

研究设计/方法/途径

本论文首先从Flickr上摘录下图片大数据, 比如上传时间、地点、用户等。其次, 本论文使用DBSCAN和k-means聚类分析参数来将上传图片分配给POI隐性变量。最后, 本论文采用关联规则挖掘分析(FP-growth参数)和序列样式勘探分析(GSP参数)以确认游客行为模式。

研究结果

本论文以慕尼黑城市为样本, 截取2015年13,545张图片。POIs由DBSCAN和k-means聚类分析将其分配到有名的POIs。由此, 本论文证明了两种技术对不同用法的各自优势。关联规则挖掘分析显示了显著联系(support:1%−4.6%;lift:1.4%−32.1%), 序列样式勘探分析确立了相关频率游览次序(support:0.6%−1.7%。

研究理论限制/意义

本论文的理论贡献在于, 根据图片数据, 通过对比分析不同聚类分析技术对确立POIs, 并且证明关联规则挖掘分析和序列样式勘探分析各有千秋又互相补充的分析技术以确立游客空间行为。

研究现实意义

本论文的现实意义在于, 强调了大数据的来源, 比如Flickr,证明了其对于有效代替传统数据的潜力, 以分析在游客在一个旅游目的地的空间行为和动线模式。特别是这种方法实现了实时自动可操作性等优势。

研究原创性/价值

本论文展示了一种方法, 这种方法通过聚类分析社交媒体上的上传图片以确立POIs, 以及通过关联规则挖掘分析和序列样式勘探分析来分析游客空间行为。本论文对于不同聚类分析以确立不同适用情况下的POIs的确立提出了独到见解。

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Article
Publication date: 18 August 2023

Filipe Ferreira, Pedro Briga, Sérgio Ramos Teixeira and Fernando Almeida

This study aims to present an innovative sandbox platform that implements a decision support system (DSS) to assess the sustainable development goals (SDGs) addressed at the…

68

Abstract

Purpose

This study aims to present an innovative sandbox platform that implements a decision support system (DSS) to assess the sustainable development goals (SDGs) addressed at the municipal level. It intends to determine the relative importance of each SDG in municipalities and explore the synergies that can be discovered among them.

Design/methodology/approach

Participatory action research is used to develop a DSS and an algorithm designated as discrete heavy fuzzy was also developed, which extends the Apriori algorithm to include discrete quantitative assessments of the level of SDG compliance by each project. A scenario consisting of three municipalities in Portugal (i.e. Porto, Loulé and Castelo de Vide) was chosen to demonstrate the implementation of the sandbox platform and to interpret the observed results.

Findings

The results reveal significant differences in the typology of SDGs addressed by each municipality. It was found that municipal sustainable projects are strongly influenced by the contextual factors of each municipality. Porto has projects that address the first five SDGs. Loulé appears projects that promote innovation, the fight against climate change and the development of sustainable cities. Castelo de Vida has initiatives related to innovation and infrastructure and decent work and economic growth.

Research limitations/implications

This study provides knowledge about the relative importance of the SDGs in Portuguese municipalities and explores the synergies among them. The proposed sandbox platform fills the gaps of the ODSlocal Webtool by proposing a dynamic and interactive approach for the exploration of quantitative indicators regarding the implementation status of the SDGs established in the 2030 Agenda.

Originality/value

This study provides knowledge about the relative importance of the SDGs and the various synergies that exist between them considering the Portuguese municipalities. The sandbox platform presented and developed within this study allows filling the gaps of the ODSlocal Webtool that gathers essentially qualitative information about each project and offers a dynamic and interactive exploration with quantitative indicators of the implementation status of the SDGs established in the 2030 Agenda.

Details

Journal of Engineering, Design and Technology , vol. 23 no. 2
Type: Research Article
ISSN: 1726-0531

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Article
Publication date: 3 August 2015

Sanjaykumar R. Gangurde and Milind M. Akarte

The purpose of this paper is to present a systematic methodology for segmenting customers based on the preferred product features, its cost and worth, so as to facilitate the…

1981

Abstract

Purpose

The purpose of this paper is to present a systematic methodology for segmenting customers based on the preferred product features, its cost and worth, so as to facilitate the designer to develop a product that will simultaneously minimize product cost and maximize customer satisfaction.

Design/methodology/approach

Post hoc – non-overlapping – non-hierarchical approach has been used for segmentation based on preferred product features by the customers. Allocation of product features to a particular segment is carried out by considering feature cost and customer worth for that feature. Automobile car has been selected as an example to demonstrate the methodology, where features data were collected from dealers and customer worth data were obtained by random generation method.

Findings

Methodology facilitates creation of n number of homogeneous segments from a heterogeneous customer group based on the cost and worth of product features. Total product cost decreases though product variety increased due to segmentation.

Originality/value

The proposed approach will help designers in segmenting (grouping) heterogeneous customers based on the preferred product features so that a most compatible (matching) product configuration for each segment, especially during product consolidation stage (beginning of the maturity phase of product lifecycle) can be developed to achieve maximum customer satisfaction.

Details

Benchmarking: An International Journal, vol. 22 no. 6
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 13 May 2024

Anand S. Patel and Kaushik M. Patel

India liberalized its economy in 1991, which resulted in intense global competition, quality-conscious and demanding customers. Additionally, significant technological…

245

Abstract

Purpose

India liberalized its economy in 1991, which resulted in intense global competition, quality-conscious and demanding customers. Additionally, significant technological advancements lead to enhancements in products and processes. These forced Indian organizations to adopt innovative business strategies in the past 30 years. Meanwhile, the Lean Six Sigma methodology has significantly grown with vast applicability during the past 30 years. Thus, the purpose of this study is to develop the learning on Lean Six Sigma methodology in the Indian context through investigation of literature.

Design/methodology/approach

A three-stage systematic literature review approach was adopted to investigate the literature during the present study. In total, 187 articles published in 62 journals/conference proceedings from 2005 to 2022 (18 years) were shortlisted. The first part of the article summarizes the significant milestones towards the quality journey in the Indian context, along with the evolution of the Lean Six Sigma methodology. The second part examines the shortlisted papers on Lean Six Sigma frameworks, their applicability in industrial sectors, performance metrics, outcomes realized, publication trends, authorship patterns and leading researchers from the Indian perspective.

Findings

Lean Six Sigma has emerged as a highly acclaimed and structured business improvement strategy worldwide. The Indian economy has seen remarkable growth in the past decade and is one of the fastest-growing economies in the 21st century. Lean Six Sigma implementation in India has significantly increased from 2014 onward. The study revealed that researchers have proposed several different frameworks for Lean Six Sigma implementation, the majority of which are conceptual. Furthermore, the balanced applicability of Lean Six Sigma in manufacturing and service sectors was observed with the highest implementation in the health-care sector. Additionally, the widely adopted tools, techniques along with performance metrics exploring case studies were reported along with a summary of eminent and leading researchers in the Indian context.

Research limitations/implications

This study is confined to reviewed papers as per the research criteria with a significant focus on the Indian context and might have missed some papers due to the adopted papers selection strategy.

Originality/value

The present study is one of the initial attempts to investigate the literature published on Lean Six Sigma in the Indian context, including perspective on the Indian quality movement. Therefore, the present study will provide an understanding of Lean Six Sigma methodology in the Indian context to graduating students in engineering and management and entry-level executives. The analysis and findings on Lean Six Sigma frameworks, research approach, publications details, etc., will be helpful to potential research scholars and academia. Additionally, analysis of case studies on Lean Six Sigma implementation by Indian industries will assist the managers and professionals in decision making.

Details

International Journal of Lean Six Sigma, vol. 15 no. 7
Type: Research Article
ISSN: 2040-4166

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Article
Publication date: 3 August 2021

P. Pranav, E. Sneha and S. Rani

This paper aims to provide a detailed review of various cutting fluids (CFs).

363

Abstract

Purpose

This paper aims to provide a detailed review of various cutting fluids (CFs).

Design/methodology/approach

Friction and wear are inevitable in machine parts in motion. The industrial sector uses various kinds of lubricants, which include engine oils, CFs, hydraulic fluids, greases, etc. to control friction and wear. The main purpose of using CF is to remove heat produced during machining and to reduce cutting forces, tool wear and energy associated with it. Thus, it increases the productivity and quality of the manufacturing process. But more than 80% of the CFs used in the industries now are mineral oil-based. These mineral oils and additives are highly undesirable because of their toxicity, nonbiodegradability, pollution and ecological problems. Hence, these petroleum-based oils in the lubrication system can be substituted with alternatives such as vegetable-based CF. Several studies are being conducted in the field of eco-friendly CFs. Because of the variance in fatty acid profile and availability, the selection of vegetable oils (VOs) is another problem faced nowadays. The present study is focused on bio-based oils and many eco-friendly additives. Various machining processes and comparisons relating to the same have also been made. The aim is to minimize the use of mineral oil and thereby introduce sustainability in production.

Findings

In this present study, bio-based oils, additives and various characteristic behavior of them in machining are being discussed. The VOs are found to be a potential base oil for industrial CFs.

Originality/value

This paper describes the importance of sustainable CFs.

Details

Industrial Lubrication and Tribology, vol. 73 no. 9
Type: Research Article
ISSN: 0036-8792

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