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Article
Publication date: 24 October 2022

Raja Sankaran and Shibashish Chakraborty

The objective of this study was to investigate the relationship between various drivers of consumer-based brand equity (CBBE) for m-payments and to demonstrate practical…

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Abstract

Purpose

The objective of this study was to investigate the relationship between various drivers of consumer-based brand equity (CBBE) for m-payments and to demonstrate practical relevance. The study examined the indirect relationship between m-payment drivers and satisfaction and their subsequent association with brand equity drivers in the context of m-payments.

Design/methodology/approach

A survey was administered to a total of 725 respondents. Structural equation modeling, SPSS AMOS and a multi-mediation model using process macros were used to analyze the primary data.

Findings

The results of this study corroborate the post-use driver (satisfaction) and trust mediates drivers of m-payments (perceived usefulness and perceived ease of use) with overall brand equity. Satisfaction and trust exert a positive influence on overall brand equity, and this research will help organizations devise strategies to retain consumers, offer loyalty schemes and brand effectively to bundle services.

Originality/value

Novelty was achieved in this study by extending the technology acceptance model to determine the association between m-payment drivers and satisfaction and their subsequent association with overall brand equity, thus providing practical implications.

Details

International Journal of Bank Marketing, vol. 41 no. 1
Type: Research Article
ISSN: 0265-2323

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Article
Publication date: 1 July 2020

Raja Sankaran and Shibashish Chakraborty

This study aims to explore the motivational factors (or value components) using a consumer-centric view to enable consumer make mobile payments (mPayments).

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Abstract

Purpose

This study aims to explore the motivational factors (or value components) using a consumer-centric view to enable consumer make mobile payments (mPayments).

Design/methodology/approach

Means-end chain (MEC) theory, an exploratory approach was employed to understand personally relevant reasons for consumer use mPayments in India. In addition, the MEC phenomenon was investigated by examining the relationships among the three layers Attribute-Consequence-Value (A-C-V).

Findings

The study revealed the most important attribute to be handling money, followed by ease of use (consequence) and convenience as value. There was a wider recognition and penetration for acceptance of mPayments in smaller amounts or micro-payments with vendors, specifically in urban cities.

Originality/value

This research is the first of its kind wherein the concept of MEC has been utilized to evaluate why consumers make mPayments and demonstrate a novel approach to explore consumer insight into this domain.

Details

Marketing Intelligence & Planning, vol. 39 no. 1
Type: Research Article
ISSN: 0263-4503

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Article
Publication date: 29 May 2020

Aastha Tripathi, Rajlaxmi Srivastava and Raja Sankaran

The purpose of this study is to examine the effect of learning culture (LC) and learning agility (LA) on employee’s turnover intention (TI) in connection to information technology…

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Abstract

Purpose

The purpose of this study is to examine the effect of learning culture (LC) and learning agility (LA) on employee’s turnover intention (TI) in connection to information technology (IT) industries in India.

Design/methodology/approach

This research study analysed 258 samples of entry-level and middle-level executives working in IT software companies constituted in Southern India. Data was collected both electronically and in hard-copy. The research model was tested by structural equation modeling technique with the aid of AMOS software.

Findings

The findings illustrate the indirect effect of LC on TI while a direct effect on LA and also a positive and significant effect of LA on TI.

Research limitations/implications

The first limitation is that this study does not cover top-level executives, therefore, it has limited implications and the second is that the respondents filled the questionnaire voluntarily by their beliefs.

Originality/value

This study contributes towards the development of LC, which will help in building LA in employees thereby reduce the employee’s TI.

Details

Industrial and Commercial Training, vol. 52 no. 2
Type: Research Article
ISSN: 0019-7858

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Article
Publication date: 19 June 2021

The motivation behind the research was the necessity to innovate. Today’s companies require “learning agile” employees who constantly update their skills. To stay competitive…

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Abstract

Purpose

The motivation behind the research was the necessity to innovate. Today’s companies require “learning agile” employees who constantly update their skills. To stay competitive, they have to retain the most capable individuals. For this reason, the authors wanted to investigate the link between LA, LC and TI of employees and they chose the dynamic Indian IT industry where turnover is a major issue for many companies.

Design/methodology/approach

The authors selected 10 different software firms in India and used Google forms to design a questionnaire. They distributed it through LinkedIn, Messenger and email. From the 258 valid responses, 62.8pc were male and 46.8pc were aged between 20 and 30. Only 18pc of the responses came from employees aged over 40. The respondents were mainly programmers (47pc), but there were also senior software engineers (25.8pc), project managers (14pc) and business analysts (13.2pc).

Findings

The results showed no direct effect of learning culture on turnover intentions. But the responses indicated a strong impact of learning agility on turnover intentions. Meanwhile, there was a big influence of learning culture on learning agility.

Originality/value

In conclusion, the authors said the results highlighted how when employees have higher LA, they tend to have stronger involvement in their work, reducing their turnover intentions. The research also showed how learning culture is an important antecedent of learning agility.

Details

Human Resource Management International Digest , vol. 29 no. 5
Type: Research Article
ISSN: 0967-0734

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Book part
Publication date: 22 November 2024

Prisilla Jayanthi Gandam, Xi Chen, Muralikrishna Iyyanki, Utku Kose and Valentina Emilia Balas

Smart cities are where dreams are made true for the future. Abu Dhabi, UAE has been given the title of smartest city in the Middle East region in the “Smart City Index 2021.” UAE…

Abstract

Smart cities are where dreams are made true for the future. Abu Dhabi, UAE has been given the title of smartest city in the Middle East region in the “Smart City Index 2021.” UAE is known for its rich natural resources that established much business connectivity and developed the country economically and socially. It built an innovative infrastructure with equipment for healthcare and connected people through smartphones avoiding patient travel. This enhances the patient’s life expectancy and mortality rate. UAE’s net zero emission by 2050 will reduce the carbon footprint from its industries. UAE, on the other hand, is building sustainable, innovative, smart, and energy-efficient cities. It is the leading country in the world with digital transformation in the Arab world. In this study, the scope of Gulf countries moving toward smart cities are analyzed with air pollution. The slope of regression for PM10 from linear regression was Khadija (0.9442), CI 0.9237 to 0.9647 and Khalifa City (0.9745), CI 0.9591 to 0.9900. In 2022, the CO2 per capita emissions of UAE (25.8t) are higher over the world (4.7t). However, PM10 and AQI seem to be pretty good in a few cities, enhancing the living style, and climate change mitigation.

Details

The Emerald Handbook of Smart Cities in the Gulf Region: Innovation, Development, Transformation, and Prosperity for Vision 2040
Type: Book
ISBN: 978-1-83608-292-7

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Article
Publication date: 2 July 2018

Vishal Singh Patyal and Maddulety Koilakuntla

The purpose of this paper is to empirically examine the organizational culture (OC) of the competing values framework (CVF) on quality management (QM) practices. Specifically, it…

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Abstract

Purpose

The purpose of this paper is to empirically examine the organizational culture (OC) of the competing values framework (CVF) on quality management (QM) practices. Specifically, it tests OC on two views, QM practices, i.e. the infrastructure quality and core QM practices.

Design/methodology/approach

The proposed hypotheses were tested using empirical data drawn from 262 manufacturing organizations in India. The research model developed was analyzed using structural equation modeling technique.

Findings

The findings of this study revealed that the hierarchical and rational cultures are the dominant types of culture, and top management commitment and Six Sigma structure are the most important aspects of the infrastructure and core QM practices in Indian manufacturing organizations. Further, the results of the study showed that group culture and development culture are the most supportive culture types for both infrastructure and core QM practices. On the contrary, hierarchical and rational culture types are the least supportive for infrastructure and core QM practices. The study proposes the need for the mixed culture approach that facilitates the adoption of business strategies

Practical implications

Before implementing infrastructure and core QM practices, managers must understand the importance of cultural values in their organization to facilitate effective implementation of QM.

Originality/value

This paper contributes to the existing literature by providing empirical evidence leading to the relationship between OC and QM practices. This is the first study that empirically examined the Indian cultural context using CVF, thus contributing to the scarce body of literature particularly in the developing countries.

Details

Benchmarking: An International Journal, vol. 25 no. 5
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 9 January 2025

P. Sandhya, K. Shreyaas, R. Jayaraj and Ganesh Raja Rajeswari

One of the major challenges faced by the world at present is management and treatment of waste. Especially, waste such as polyethylene (plastics) is non-degradable and is causing…

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Abstract

Purpose

One of the major challenges faced by the world at present is management and treatment of waste. Especially, waste such as polyethylene (plastics) is non-degradable and is causing great damage to our environment. Aquatic environment is one among them that is getting affected by these plastic wastes. Water pollution is a great issue faced in many countries and steps to reduce it are being taken on a wide scale. Unwanted aquatic plants grown in ponds and lakes create problems like totally covering up the surface of the lake that blocks the sunlight for aquatic species and also reducing their total storage. Identifying such unwanted plants and plastics is a very essential part in treating and management of waste. Detection and classification help us to achieve this. With the help of satellites, drone-shot images of many oceans are captured, and the amount of plastic content present is detected using artificial intelligence. In artificial intelligence, we have many algorithms and platforms that help us to achieve object detection. Tensorflow is one such framework that helps us to perform object detection with the help of pre-trained models present in it, and thus, it is used in this study. Object detection uses computer vision to detect objects from images. Convolutional neural networks are a subset of machine learning that is helpful in image processing – in other words, processing of pixel data. In this study, we used the ResNet-50 model involving transfer learning for classifying unwanted plants and plastics. Lakes and ponds are the major places among the other aquatic environments where these kinds of wastes are found, and therefore, this study concentrates on waste present in these aquatic bodies. The lakes and ponds present near residential areas act as a place for storing excess rainwater, which prevents flooding. Many cities, especially residential areas, face a lot of water stagnation problems during the rainy season. Ponds and lakes near these areas contain unwanted plants and plastics present, which makes it a problem to store the rainwater that comes during monsoon. Another problem is that they don’t provide sunlight to enter deep into water, making the aquatic species difficult to survive. Preserving and maintaining such lakes from getting filled with non-degradable plastics and unwanted plant growth becomes very important. Therefore, the lakes and ponds present in such residential areas would be useful to detect the unwanted waste.

Design/methodology/approach

In this study, the focus is on detection and classification of the plastics and unwanted plants. The dataset is very important for this study, which is an image dataset. There was not any readily available image data of unwanted plastics available online, and therefore, the images were captured from the lakes and ponds in Kanchipuram district. Images of duckweed, plastics, bulrush and leaves of sky lotus were taken. This dataset consisted a total of 200 images, with 50 images belonging to each category. Having this as the dataset, detection and classification were carried out.

Findings

The object detection took place for the plastic, duckweed, bulrush and leaves of sky lotus and the performance metrics such as precision and recall was evaluated to test the accuracy of the detections. Precision is used to calculate the number of correctly identified positive identifications. This is done by dividing the sum of true positives and false positives from the number of true positives. True positives are nothing but the number of correct predictions of positive identifications, and false positives are the number of false predictions of positive identifications. Similarly, recall is used to calculate the number of actual positives identified. We can calculate recall by dividing the sum of true positives and false negatives from the total number of true positives. Here false negatives are the number of false predictions of false identification. This performance metrics was evaluated for the trained model, and we obtained an average precision of 0.81 and an average recall of 0.86. The high precision and recall values of our model show that the model produces accurate results. Therefore, the model is producing good performance in detecting the unwanted plants and plastics from lakes and ponds. The evaluation results were visualized with the help of TensorBoard and are available in fig-4 and fig-5. The loss rate is visualized and is available in fig-6. We can see that the loss rate has reduced over the steps as we pass from 1,000 to 4000th step.

Originality/value

The work was originally carried out in the Kanchipuram district of Tamil Nadu.

Details

Management of Environmental Quality: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1477-7835

Keywords

Available. Open Access. Open Access
Article
Publication date: 2 August 2022

Sina Moradi and Kalle Kähkönen

The emergence of collaborative delivery models and working practices in construction industry has created a potential area for project success research. Previous studies have…

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Abstract

Purpose

The emergence of collaborative delivery models and working practices in construction industry has created a potential area for project success research. Previous studies have addressed success factors of various collaborative delivery models (e.g. alliance and partnering). However, there is currently very limited research-based knowledge concerning core success factors for different collaborative delivery models, exploring the commonalities. Thus, this study aims to conceptualize a success model for collaborative construction projects by identifying and structuring their core success factors through the lens of project delivery elements.

Design/methodology/approach

A systematic literature review was conducted, and thematic as well as content analysis of the relevant studies led to the identification of mentioned success factors in the literature for different collaborative delivery models. Then, those common success factors were structured in a model based on factors' relation to project delivery elements.

Findings

The obtained results present eight core success factors (e.g. equality, mutual trust and commitment to win–win philosophy) for collaborative construction projects, structured in a model based on their contribution toward project organization, contractual relationships, and operational system in construction project delivery. Moreover, the differences between success factors for traditional and collaborative construction projects are discussed.

Originality/value

This study's findings provide insightful theoretical contributions on collaborative construction project success and providing a departure point for future studies based on the discussed differences between success factors of collaborative and traditional construction projects. The findings can be also practically insightful for the project professionals in collaborative construction projects to succeed in managing project organization, contractual relationships, and operational system.

Details

Built Environment Project and Asset Management, vol. 12 no. 6
Type: Research Article
ISSN: 2044-124X

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Article
Publication date: 14 May 2018

Shu-hsien Liao, Chih-chiang Chen and Da-chian Hu

This paper aims to empirically test individual, team and multi-level relationships among knowledge sharing (KS), leader–member exchange (LMX), employee creativity (EC) and team…

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Abstract

Purpose

This paper aims to empirically test individual, team and multi-level relationships among knowledge sharing (KS), leader–member exchange (LMX), employee creativity (EC) and team innovation (TI). The study tests how KS affects EC via LMX at lower and multi levels. At a higher level, how creativity affects TI is also tested.

Design/methodology/approach

Questionnaires were sent to 43 team leaders and 215 team members from the largest theme park in Taiwan, E-DA, who are engaged in offering creative and innovative customer services. Multilevel analysis was conducted based on the questionnaires received.

Findings

Major findings agree the contention that KS can improve EC via LMX at both employee and multi-level. The results also indicate that KS affects team creativity (TC) at the team level; however, TC and TI do not have a significant positive relationship.

Originality/value

The study examined how to enhance employees’ creativity from the individual and team levels in a theme park, an area with rare literature. The authors found that LMX is an important mediator between KS and EC. The mediated effect of KS on EC through LMX is higher in a cross level than individual level. In addition, a team’s KS has more effect on EC than the individual level.

Details

International Journal of Contemporary Hospitality Management, vol. 30 no. 5
Type: Research Article
ISSN: 0959-6119

Keywords

Available. Open Access. Open Access
Article
Publication date: 10 May 2022

Tiago Hennemann Hilario da Silva and Simone Sehnem

The proposal is to answer the following question: based on previous studies, which are the new paths and challenges related to the circular economy (CE) and Industry 4.0 (I4.0)…

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Abstract

Purpose

The proposal is to answer the following question: based on previous studies, which are the new paths and challenges related to the circular economy (CE) and Industry 4.0 (I4.0)? To answer this question, the research objective is to analyze studies approaching the interface between CE and I4.0.

Design/methodology/approach

A systematic literature review (SLR) was conducted on previously published studies pertaining to Scopus and Web of Science bases, and 63 articles were found.

Findings

The authors present five new paths and challenges amid the relationship between CE and I4.0: applying those technologies to clean production, using blockchain and big data in the circular supply chain, raising additive manufacturing impact on the CE, seek for a better understanding on how I4.0 technologies can properly support the CE in the stakeholders' view and discerning the factors for implementing those theoretical fields onto supply chains.

Research limitations/implications

Previous studies' sample basis is still recent, lacking research depth. Search strings might have minimized the number of selected studies: there could be a bigger sample.

Practical implications

Practical contributions of this study lay on the applicability of the raised propositions into several sectors' industries.

Social implications

The authors suggest a transition agenda towards CE, using I4.0 technologies for operational, tactical and strategic personnel within organizations, as well as potential utilization strategies in specific study fields, like supply chain management and product manufacturing per se.

Originality/value

The study presents new paths and challenges amid technologies pertaining to I4.0 and its interfaces with the CE. In the result presentation and analysis, the existing interfaces are described.

Details

Revista de Gestão, vol. 29 no. 3
Type: Research Article
ISSN: 1809-2276

Keywords

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