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1 – 10 of 13In dynamic business environments, organizations must constantly adapt and learn. Nudging, a concept from behavioral economics, offers a novel approach to influence organizational…
Abstract
Purpose
In dynamic business environments, organizations must constantly adapt and learn. Nudging, a concept from behavioral economics, offers a novel approach to influence organizational behavior and learning. This article explores the integration of nudging within organizational learning, drawing from Thaler and Sunstein’s work and organizational learning theories. Also, To investigate nudging’s role in organizational learning and propose a practical nudging framework, while addressing ethical considerations.
Design/methodology/approach
The article combines theoretical insights from behavioral economics (Thaler and Sunstein; Kahneman) with organizational learning theories (Argyris and Schön). It discusses real-world nudging applications, like Google's health initiatives, and examines the ethical aspects of workplace nudging.
Findings
Nudging effectively influences organizational decisions and strategies by targeting rapid cognitive processes. It finds application in training, performance management, and decision-making, with a critical focus on ethical implications, especially regarding autonomy and non-manipulation.
Research limitations/implications
This study highlights the potential of behavioral economics in reshaping organizational learning, emphasizing the importance of ethical application in developing adaptive, learning-focused organizational cultures.
Originality/value
Nudging offers a promising method for enhancing organizational learning. Applied ethically, it can improve workforce engagement, performance, and adaptability. Future research should focus on nudging's long-term organizational impacts and ethical boundaries.
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Anand Hindolia, Jyoti Arya, Raghuvar Pathak and Azhar Kazmi
The study aims to explore the theoretical framework of Halal B2B marketing in the metaverse, develop a conceptual framework for future research, identify challenges and…
Abstract
Purpose
The study aims to explore the theoretical framework of Halal B2B marketing in the metaverse, develop a conceptual framework for future research, identify challenges and opportunities, including technological, cultural and compliance aspects, and provide insights for the effective integration of the metaverse into Halal B2B marketing practices.
Design/methodology/approach
The research employs a comprehensive literature review, examining works on halal marketing, Islamic business ethics and technology adoption in Islamic markets. The study also identifies key stakeholders in Halal B2B marketing within the metaverse, such as Halal businesses, Muslim buyers, technology developers, regulatory bodies and others, and discusses their unique challenges and contributions.
Findings
The study presents a conceptual framework depicting the interaction among various stakeholders in Halal B2B marketing within the metaverse. It identifies opportunities such as enhanced customer engagement, global market expansion and innovative branding, and discusses challenges including technological disparities, cultural sensitivities and Halal compliance.
Research limitations/implications
The conceptual framework delineated in this paper succinctly outlines the potential challenges confronted by diverse stakeholders in building the digital Halal market ecosystem within the metaverse. These frameworks augment the understanding of the metaverse as an evolving digital technology for brands operating within this digital space. This contributes to both theoretical and practical insights into the integration of the metaverse into business operations. While the metaverse holds promise for immersive and interconnected digital experiences, it also comes with several limitations and challenges that need to be taken into account.
Practical implications
The research introduces a framework that elucidates the professional relationships among key entities: Halal B2B brands aiming to enter the metaverse for brand promotion, buyers seeking business opportunities within the metaverse, and technology developers responsible for establishing the required infrastructure. This framework offers a succinct portrayal of the stakeholders' positions, delves into potential opportunities within the metaverse, and scrutinises the inherent challenges associated with these possibilities.
Social implications
The metaverse empowers Halal enterprises to provide tailor-made experiences that resonate with the preferences of Muslim consumers. It offers scope for personalised marketing, emphasising its potential as a pivotal element in the triumph of Halal B2B marketing within the metaverse. In the realm of Halal marketing, cultural and ethical alignment holds paramount importance. The metaverse provides opportunities for devising marketing approaches that are attuned to Islamic cultural and ethical values.
Originality/value
The study results in several recommendations that could help Halal B2B brands effectively leverage the metaverse's potential and cater to Muslim consumers' needs innovatively. These are: (a) Invest in Metaverse Infrastructure by partnering with technology developers or invest in virtual spaces tailored to Halal products; (b) Tailor Marketing Experiences through creating immersive experiences aligned with Muslim consumers' preferences; (c) Ensure Cultural and Ethical Alignment by consulting religious scholars to ensure marketing respects Islamic values; (d) Foster Business Opportunities by facilitating virtual trade shows and marketplaces for Halal products; (e) Educate Stakeholders by organising workshops to introduce the metaverse's potential benefits; (f) Address Challenges Proactively by tackling privacy, accessibility and regulatory issues head-on; (g) Collaborate with Industry Partners and work with other Halal brands and tech partners to drive innovation.
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Rajeev Verma, Anuj Sharma and Jyoti Verma
The learning outcome is that it will help to sustain your startups in the ever-changing business environment especially in the context of emerging markets.
Abstract
Learning outcomes
The learning outcome is that it will help to sustain your startups in the ever-changing business environment especially in the context of emerging markets.
Case overview/synopsis
The present case is about Dilkhush Kumar from village Bangaon, India who developed a cab booking platform “AryaGo”, an innovative platform completely dedicated for rural road transport connectivity. AryaGo is the service line of Aryan Cabs and Rural Trans-solution Pvt. Ltd., a Startup founded in the year 2016 under Startup Bihar, a seed capital support scheme of State Government. The idea was to provide comfort, convenience, safety and affordability to all the commuters travelling from or within far-off villages. The biggest challenge during implementation in villages includes availability of updated geo-mapped images for app development and vehicle tracking. Company was foremost in providing the kiosk-based booking facility for its customers. It took the decision based on the profiling of customers and their preferred booking methods. When a customer booked a cab using IVR, they did not had access to app-based customer panel and hence they could not avail services such as, location tracking, SoS, real time tracking of vehicle. However, heavy invest in IT has put the company in financial stress and Kumar is wondering whether to expand fast or penetrate in the given target market. Should he re-design his business model so as it can really make a difference in terms of service delivery?
Complexity academic level
Post Graduate/ MBA.
Supplementary materials
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Subject code
CSS 8: Marketing
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Jyoti Mishra, Mahendra Tiwari, Bhavna Bajpai, Swati Atre and Amandeep Kaur
The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image.
Abstract
Purpose
The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image.
Design/methodology/approach
This study proposed convolutional neural network (CNN) approach to predict COVID-19.
Findings
Prediction of COVID-19 using CNN.
Originality/value
The work has implemented multiple CNN models to classify chest X-ray of affected patients by using their chest scans. According to three models, the ResNet-50 is advantageous because of its high service reliability.
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Michael Yao Ping Peng, Meng-Hsiu Lee and Ya-Hui Huang
The purpose of this study is to examine the relationship between positive emotion, self-efficacy, job satisfaction and turnover intention in the context of resource building…
Abstract
Purpose
The purpose of this study is to examine the relationship between positive emotion, self-efficacy, job satisfaction and turnover intention in the context of resource building during the socialization process of new faculty members, particularly in the context of the coronavirus disease 2019 (COVID-19) pandemic.
Design/methodology/approach
The study utilizes a quantitative research design and employs purposive sampling to obtain 554 valid questionnaires. The study analyzes the relationship between positive emotion, self-efficacy, job satisfaction and turnover intention and examines the influence of strategic human resource management (SHRM) on these variables.
Findings
The results of the study reveal that SHRM positively influences positive emotion and self-efficacy, which, in turn, positively impact job satisfaction. However, positive emotion is negatively related to turnover intention.
Originality/value
This study contributes to the existing literature on human resource management (HRM) by examining the impact of strategic HRM on the socialization process of new faculty members. The findings of the study have significant practical implications for the implementation of HRM in research-oriented universities.
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Jyoti Lata Pandey and M.K. Banerjee
Concrete forms a major component of the national infrastructure. Corrosion of reinforced steels embedded in concrete has recently received wide attention in R&D programmes…
Abstract
Concrete forms a major component of the national infrastructure. Corrosion of reinforced steels embedded in concrete has recently received wide attention in R&D programmes. Different cases have been reported showing failures of concrete structures which means huge loss. An attempt has been made to identify the different factors affecting the corrosion of embedded steel. Comparative evaluation of different protective schemes use of additives in concrete admixtures and the application of the cathodic protection technique has been discussed.
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Bahjat Fatima, Huma Ramzan and Sohail Asghar
The purpose of this paper is to critically analyze the state-of-the-art session identification techniques used in web usage mining (WUM) process in terms of their limitations…
Abstract
Purpose
The purpose of this paper is to critically analyze the state-of-the-art session identification techniques used in web usage mining (WUM) process in terms of their limitations, features, and methodologies.
Design/methodology/approach
In this research, systematic literature review has been conducted using review protocol approach. The methodology consisted of a comprehensive search for relevant literature over the period of 2005-2015, using four online database repositories (i.e. IEEE, Springer, ACM Digital Library, and ScienceDirect).
Findings
The findings revealed that this research area is still immature and existing literature lacks the critical review of recent session identification techniques used in WUM process.
Originality/value
The contribution of this study is to provide a structured overview of the research developments, to critically review the existing session identification techniques, highlight their limitations and associated challenges and identify areas where further improvements are required so as to complement the performance of existing techniques.
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Sachin Kashyap, Sanjeev Gupta and Tarun Chugh
The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast…
Abstract
Purpose
The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast customer satisfaction from the identified dimensions of service quality in India, a developing country.
Design/methodology/approach
The qualitative study is conducted with Internet banking users to understand e-banking clients' perceptions. The data is collected with the help of a questionnaire from randomly selected 208 customers in India. Firstly, factor analysis was performed to determine the influential factors of customer satisfaction, and four factors i.e. efficiency, reliability, security and privacy, and issue and problem handling were extracted accordingly. The neural network model is then applied to the factor scores to validate the key elements. Lastly, the comparative analysis of the actual ANN and the regression predicted result is done.
Findings
The success ability of the linear regression model is challenged when approximated to nonlinear problems such as customer satisfaction. It is concluded that the ANN model is a better fit than the linear regression model, and it can recognise the complex connections between the exogenous and endogenous variables. The results also show that reliability, security and privacy are the most influencing factors; however, problem handling and efficiency have the slightest effect on bank client satisfaction.
Research limitations/implications
This research is conducted in India, and the sample is chosen from the urban area. The limitation of the purposeful sampling technique and the cross-sectional nature of the data may hamper the generalisation of the results.
Originality/value
The conclusions from the study will be helpful for policymakers, bankers and academicians. To our knowledge, few studies used ANN modelling to predict customer satisfaction in the service sector
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Rajwinder Kaur, Sameer Pingle and Anand Kumar Jaiswal
This research aims to investigate the relationship between employer branding and its antecedent organisational culture within the context of the private banking sector. The study…
Abstract
Purpose
This research aims to investigate the relationship between employer branding and its antecedent organisational culture within the context of the private banking sector. The study also investigates the relationship between employer branding and employee brand equity as a consequential construct. Additionally, the mediating role of trust and the moderating role of gender in the relationship between employer branding and employee brand equity has been examined.
Design/methodology/approach
The present study’s findings result from data analysis collected from a sample of 454 employees working in private banks in India. The data analysis was conducted utilising the structural equation modelling technique with the assistance of analysis of moment structures (AMOS) software.
Findings
The study’s findings indicate that supportive and bureaucratic (formal) culture in private banks exhibit a significant relationship with employer branding. However, the relationship between innovative culture and employer branding was found to be insignificant. The research also reveals a significant positive association between employer branding and employee brand equity variables: brand consistent behaviour, brand endorsement and brand allegiance. Further, the study highlights the mediating role of employee trust in management in the relationship between employer branding and employee brand equity. Examining demographic variables suggests that gender moderates the relationship between employer branding and employee brand equity.
Originality/value
The originality of this study lies in its exploration of the critical role of organisational culture variables in shaping employer branding within the context of private banks. The findings highlight that cultivating supportive and bureaucratic cultures can effectively enhance the employer branding of private banks. The study emphasises the outcomes of employer branding initiatives, signifying that they contribute to developing brand equity among employees. This leads to long-term employee commitment and advocacy towards the organisation, as employees become brand advocates for the bank with which they are affiliated. The study contributes to a better understanding of the relationship between organisational culture, employer branding and employee brand equity, providing valuable implications for the private banking sector aiming to reinforce their employer brand and increase employee engagement.
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Gulsan Ara Parvin, Nina Takashino, Md. Shahidul Islam, Md. Habibur Rahman, Md. Anwarul Abedin and Mrittika Basu
This study aims to explore whether socio-economic factors determine the level of menstrual knowledge and perceptions of schoolgirls in Bangladesh. The aim of this study is to…
Abstract
Purpose
This study aims to explore whether socio-economic factors determine the level of menstrual knowledge and perceptions of schoolgirls in Bangladesh. The aim of this study is to understand how knowledge and perceptions vary with variations in the different socio-economic factors in a schoolgirl’s life such as place of residence, religion, age, grade, parents’ education, parents’ occupation, family income and even family size.
Design/methodology/approach
Data were collected from four schools (two in urban areas and two in rural areas). A total of 450 schoolgirls from grades V–X were interviewed to examine how knowledge and perceptions varied with different socio-economic aspects. Multiple logistic regression models were used to measure the associations between various socio-economic variables and perceptions of and knowledge about menstruation.
Findings
Respondents from urban areas were 4.75 times more likely and those 14–16 years old were two times more likely to report higher levels of knowledge about menstruation compared to their counterparts. Based on the father’s occupation, respondents whose father was engaged in a professional occupation were 1.983 times more likely to have a higher level of knowledge on menstruation compared to those whose fathers were in an unskilled profession. Similarly, the odds of positive perceptions on menstruation were 1.456 and 1.987 times higher, respectively, among respondents living in urban areas and those 14–16 years old, compared to their counterparts.
Originality/value
This study provides evidence that different socio-economic and even demographic factors are important in the development of menstrual knowledge and perceptions. Policy formulation and development actions related to adolescent girls’ physical and reproductive health development need to consider these factors in Bangladesh and in other developing countries, where poor knowledge and perception related to menstruation are hindering girls’ mental and physical development. This is expected that better knowledge and perception will facilitate girls’ right to have better health and social lives.
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