Subash Chandra Pattnaik and Narendra Panda
This paper aims to examine the relationship between supervisor support, work engagement and turnover intentions with work engagement playing the role of a mediator.
Abstract
Purpose
This paper aims to examine the relationship between supervisor support, work engagement and turnover intentions with work engagement playing the role of a mediator.
Design/methodology/approach
Data from 386 Indian call centre employees through questionnaire survey was collected. A variety of statistical tools such as confirmatory factor analysis, Sobel test and descriptive statistics were used for examining the relationship.
Findings
From this study, it was found that work engagement partially mediates the relationship between supervisor support and turnover intentions confirming well with the model hypothesized for the study.
Originality/value
Both employee turnover and disengagement levels in call centres keep on increasing, but very little research has been conducted so far on the linkage between supervisor support, work engagement and turnover intentions. Whatever little research has been conducted so far does not take supervisor support as a one-dimensional construct, thus obscuring its impact on work engagement and turnover intentions. That too, the findings about the relationship between work engagement and turnover intentions are mixed, thus calling for further studies. Moreover, the majority of the studies so far have come from Western contexts. The relationship is yet to be fully understood in the emerging Asian business context.
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Medha Kulkarni, Leena B. Dam and Bharat Pawar
After working through the case, the students should be able to understand Indian political economy and the brand building process of NaMo; identify the media mix strategies used…
Abstract
Learning outcomes
After working through the case, the students should be able to understand Indian political economy and the brand building process of NaMo; identify the media mix strategies used to build the brand NaMo in India; evaluate possible future growth strategies for brand NaMo; and compare and contrast brand NaMo with business brands.
Case overview/synopsis
Narendra Modi popularly called as NaMo was the current Prime Minister of India. He belonged to Bhartiya Janata Party (BJP) which won India’s general elections in two consecutive terms 2014 and 2019. NaMo was recognised worldwide for his prudence in leading the country to greater heights of achievement. NaMo started his political journey as the worker of BJP at a tender age. His rise in political career was akin to flagship brand overtaking the parent brand. All the steps taken in the past to position himself as a cult brand, will it fortify to NaMo’s victory in 2024 general elections? Business firms may follow NaMo’s strategies. What can the business brands emulate from NaMo to market and position themselves? Can political success be transpired to business success?
Complexity academic level
This case is designed for use in a graduate-/postgraduate-level marketing course in segments on brand management, brand expansion and the marketing strategies of a market leader. The case can also be used in a brand management course to discuss brand management models (e.g. Keller’s brand resonance pyramid and brand value chain). This case has particular application for classes that focus on brand equity, STP for any brand (segmentation, targeting and positioning) and brand value chain. The case looks in detail at the Indian political market and brand building process of NaMo and examines competitive moves since its inception. This case can be used in brand management, media management courses. The dilemma can be explained as part of a marketing course for postgraduate and executive programmes.
Supplementary materials
Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.
Subject code
CSS 8: Marketing.
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Ratree Kummong and Siriporn Supratid
An accurate long-term multi-step forecast provides crucial basic information for planning and reinforcing managerial decision-support. However, nonstationarity and nonlinearity…
Abstract
Purpose
An accurate long-term multi-step forecast provides crucial basic information for planning and reinforcing managerial decision-support. However, nonstationarity and nonlinearity, normally consisted of several types of managerial data can seriously ruin the forecasting computation. This paper aims to propose an effective long-term multi-step forecasting conjunction model, namely, wavelet–nonlinear autoregressive neural network (WNAR) conjunction model. The WNAR combines discrete wavelet transform (DWT) and nonlinear autoregressive neural network (NAR) to cope with such nonstationarity and nonlinearity within the managerial data; as a consequence, provides insight information that enhances accuracy and reliability of long-term multi-step perspective, leading to effective management decision-making.
Design/methodology/approach
Based on WNAR conjunction model, wavelet decomposition is executed for efficiently extracting hidden significant, temporal features contained in each of six benchmark nonstationary data sets from different managerial domains. Then, each extracted feature set at a particular resolution level is fed into NAR for the further forecast. Finally, NAR forecasting results are reconstructed. Forecasting performance measures throughout 1 to 30-time lags rely on mean absolute percentage error (MAPE), root mean square error (RMSE), Nash-Sutcliffe efficiency index or the coefficient of efficiency (Ef) and Diebold–Mariano (DM) test. An effect of data characteristic in terms of autocorrelation on forecasting performances of each data set are observed.
Findings
Long-term multi-step forecasting results show the best accuracy and high-reliability performance of the proposed WNAR conjunction model over some other efficient forecasting models including a single NAR model. This is confirmed by DM test, especially for the short-forecasting horizon. In addition, rather steady, effective long-term multi-step forecasting performances are yielded with slight effect from time lag changes especially for the data sets having particular high autocorrelation, relative against 95 per cent degree of confidence normal distribution bounds.
Research limitations/implications
The WNAR, which combines DWT with NAR can be accounted as a bridge for the gap between machine learning, engineering signal processing and management decision-support systems. Thus, WNAR is referred to as a forecasting tool that provides insight long-term information for managerial practices. However, in practice, suitable exogenous input forecast factors are required on the managerial domain-by-domain basis to correctly foresee and effectively prepare necessary reasonable management activities.
Originality/value
Few works have been implemented to handle the nonstationarity, consisted of nonlinear managerial data to attain high-accurate long-term multi-step forecast. Combining DWT and NAR capabilities would comprehensively and specifically deal with the nonstationarity and nonlinearity difficulties at once. In addition, it is found that the proposed WNAR yields rather steady, effective long-term multi-step forecasting performance throughout specific long time lags regarding the data, having certainly high autocorrelation levels across such long time lags.
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Chong Guan, Ding Ding, Jiancang Guo and Yun Teng
This paper reviews the extant research on Web3.0 published between 2003 and 2022.
Abstract
Purpose
This paper reviews the extant research on Web3.0 published between 2003 and 2022.
Design/methodology/approach
This study uses a topic modeling procedure latent Dirichlet allocation to uncover the research themes and the key phrases associated with each theme.
Findings
This study uncovers seven research themes that have been featured in the existing research. In particular, the study highlights the interaction among the research themes that contribute to the understanding of a number of solutions, applications and use cases, such as metaverse and non-fungible tokens.
Research limitations/implications
Despite the relatively small data size of the study, the results remain significant as they contribute to a more profound comprehension of the relevant field and offer guidance for future research directions. The previous analysis revealed that the current Web3.0 technology is still encountering several challenges. Building upon the pioneering research in the field of blockchain, decentralized networks, smart contracts and algorithms, the study proposes an exploratory agenda for future research from an ecosystem approach, targeting to enhance the current state of affairs.
Originality/value
Although topics around Web3.0 have been discussed intensively among the crypto community and technological enthusiasts, there is limited research that provides a comprehensive description of all the related issues and an in-depth analysis of their real-world implications from an ecosystem perspective.
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Christopher Pich and Guja Armannsdottir
Brand image remains a “nebulous” construct with very few frameworks dedicated to understanding the process of uncovering brand image. This is supported by explicit calls for…
Abstract
Purpose
Brand image remains a “nebulous” construct with very few frameworks dedicated to understanding the process of uncovering brand image. This is supported by explicit calls for greater clarity on how to examine brand image, particularly in different settings. Political branding is one setting that has received some attention, however, research has focused on “party” political brands and neglected “non-party” brands (independent candidates). Therefore, this study aims to examine how young citizens interpret independent non-party brands through the theoretical lens of brand image in the context of Guernsey and develop a systematic brand image framework that provides greater clarity to this topic area.
Design/methodology/approach
A qualitative interpretivist approach using focus group discussions was adopted to investigate the phenomenon from the perspective of young voters 18–24 years of age. Focus group discussions ceased upon reaching theoretical saturation and a six-staged thematic analytical strategy was adopted to analyse the findings.
Findings
This study revealed deep insight into the political brand image of non-party brands from the perspective of young voters in an under-explored context. More specifically, this study uncovered that Guernsey’s political brands were seen as “accessible”; however, there was little differentiation, identification and connection between young voters and politicians. Further, this study uncovered a series of opportunities for strategists such as the desire for a younger generational view and younger representation in the Guernsey Parliament and greater clarity, distinction and authenticity related to political brand image.
Originality/value
This study addresses explicit calls for further research on brand image with a distinct focus on non-party political brands. Further, this study concludes by presenting the “consumer brand image schema”; a systematic framework which can be used to uncover brand image within and beyond the setting of politics. Further, the framework operationalises the complex concept of brand image and provides a three-stage process to examine and develop brand image. This will enable strategists to develop targeted strategies and adopt appropriate tactics to manage brand image to ensure brands are differentiated and interpreted as authentic, relatable, engaging, accessible and identifiable.
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Samaya Pillai, Manik Kadam, Madhavi Damle and Pankaj Pathak
Healthcare is indispensable for any civilisation to attain a good quality of life and well-being on both mental and physical levels. The healthcare domain primarily falls under…
Abstract
Healthcare is indispensable for any civilisation to attain a good quality of life and well-being on both mental and physical levels. The healthcare domain primarily falls under pharma, medical, biotechnology, and nursing. Also, other fields may be aligned with these primary fields. Healthcare amasses the contemporary trends and knowledge of upcoming techniques to improve healthcare processes. The practitioners are primarily doctors, nurses, specialists and health professionals, hospital administrators, and health insurance.
It is a fundamental attribute needed for any society to attain good quality of life and well-being in mental and physical health. It is a fundamental right of people to receive good healthcare where drug treatment and hospitalization are available at a nominal cost, as a requirement of today’s modern era. There appears to be a significant disparity in the availability of good healthcare in rural areas compared to urban in India. Even though we enter the digital era with the facilities offered in Industry 4.0 and other advanced technologies brings about a significant change of overall processing within healthcare systems. During the pandemic of COVID-19, there has been digital transformation with success globally. Healthcare cooperatives are a new norm to support the healthcare systems globally. The chapter discusses Gampaha healthcare cooperative and reviews Ayushman Sahakar scheme in India. The reforms require time to evolve.
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Dillip K. Swain and K.C. Panda
The purpose of this paper is to assess and evaluate quantitative and qualitative use of electronic resources in the academic ambience of business schools in Orissa (India) with a…
Abstract
Purpose
The purpose of this paper is to assess and evaluate quantitative and qualitative use of electronic resources in the academic ambience of business schools in Orissa (India) with a view to examining the level of electronic information services (EIS) offered to the faculty members of the state with an opinion pool of the faculty members of the respective business schools. Moreover, the study aims to highlight some of the problems and constraints faced by the target users with some constructive suggestions and recommendations for the improvement of the status of electronic information services in the business schools of the state in days to come.
Design/methodology/approach
The paper investigates the use of e‐resources by the faculty members of business schools of the state through a survey based on responses of the target users from structured questionnaires. The SPSS package is used for data analysis.
Findings
Faculty members pay high preference to the use of e‐articles while the least preference goes towards the use of electronic theses and dissertations (ETDs). Further it is found that a selected few online databases like Emerald Management Xtra (EMX), EBSCO, and PROQUEST are fairly in use while the use of other online databases is not up to expectations. In tandem, the majority of faculty members are in favor of commercial e‐services.
Practical implications
The paper restricts the study exclusively to e‐resources as the type of material and faculty members of major business schools of Orissa (India) as the respondents in its scope of discussion.
Originality/value
The study focuses on the use of e‐resources by faculty members in business schools of Orissa with some constructive outcomes for effective generalization.
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Umair Ahmed, Muhammad Saeed and Shah Jamal Alam
This paper aims to explore the use and impact of social media, specifically Twitter (now X), in political mobilization in Pakistan. It focuses on the events followed by the…
Abstract
Purpose
This paper aims to explore the use and impact of social media, specifically Twitter (now X), in political mobilization in Pakistan. It focuses on the events followed by the no-confidence motion against Imran Khan as Pakistan’s prime minister in April 2022 and the protest campaign that ensued, facilitated through the strategic use of the Urdu hashtag #امپورٹڈ_حکومت_نامنظور (translated as “imported-government unacceptable”) on Twitter, both within and outside Pakistan.
Design/methodology/approach
Using Web scraping, data from Twitter was extracted and analyzed between 2022 and 2023. By probing into user account profiles and interactions with this hashtag, this paper investigates the claims surrounding the hashtag’s popularity, by identifying suspicious accounts and their contributions in the trending of the hashtag.
Findings
Findings suggest that the claim of the hashtag's unprecedented success was overhyped, further suggesting that the popularity and impact of the social media campaign were exaggerated. Despite high engagement rates, the study indicates a discrepancy between perceived influence and actual impact on public sentiment and political mobilization.
Originality/value
This paper contributes to the literature on social media’s role in political mobilization and agenda-setting in the Pakistani context. More generally, understanding hashtag dynamics and their impact on shaping public opinion, may be beneficial to academics and practitioners in better understanding the role of digital platforms in the politics.