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The purpose of this study is to examine the politics, political economy, and fallout of hawkish regulatory policy on prescription drugs in Nigeria. Hawkish regulatory policy on prescription drug in Nigeria, such as opioid analgesics, is a very complex and multifaceted one, which usually involves the interplay of many factors and parties.

Policy manuals, official government gazettes (legislations, regulations, Acts and decrees), academic literature and a direct ethnographic observation of events surrounding the regulation of prescription drugs were reviewed and engaged.

The results revealed that Nigerian and global political economy and politics interface to define the direction of the new restrictive opioid policy, with resultant friction between prohibition and consumption. The reviews showed that the overarching “get-tough” and “repressive” policy are not necessarily founded on empirical evidence of an increase in prescription drug sales or use, but more as a product of the interplay of both internal and external politics and the prevailing socioeconomic order.

Instead of borrowing extensively from or being influenced by repressive Western drug laws and perspectives, Nigerian policymakers on prescription opioids should take control of the process by drawing up a home-grown policy that is less intrusive and punitive in nature for better outcomes. A mental sea change is required to understand the intrigues of Western power in Nigeria’s politics and political economy to avoid the continuous symptomatic failure of drug policy.

The politics and economic influence of the United Nations, USA and Western powers, as well as the axiom of moral panic of prescription drugs scares within the Nigerian environment, are particularly significant in the making of the emerging hawkish policy on prescription drugs in Nigeria.

This study aims to examine the effects of celebrity negative publicity on attitude towards brand, corporation, brand reputation and corporate reputation, both directly and through the moderating effects of social media involvement, brand commitment, identification and attribution (both types). Associative network theory has been used to explain these effects.

A quantitative survey of 550 respondents was carried out in London and surrounding areas. Structural equation modelling was used to analyse the data.

The findings suggest that celebrity negative publicity affects brand reputation and corporate reputation. Further, the moderating effects of social media involvement and brand commitment on attitude towards brand and corporation, identification on attitude towards brand, attribution types on attitude towards corporation were not found.

To the best of the authors’ knowledge, this is the first paper to examine the effects of celebrity negative publicity on attitudes towards brand, attitude towards corporation, brand reputation and corporation reputation, directly, and through the moderating effects of attribution (both types), identification, commitment and social media. Findings from this study will minimise the gap in the literature on the topic and will help managers and policymakers to understand the effects of celebrity negative publicity in detail.

E-commerce live streaming is a new influencer advertising method that allows influencers to interact directly with consumers on e-commerce platforms. Although evidence suggests that influencer live-streaming advertisements (ads) on social media can increase consumers’ buying impulses, little research examined how this similar but new advertising method on e-commerce platforms may influence consumers’ urge to buy impulsively. This study explores the role of influencer credibility, celebrity effect, perceived entertainment, trust and perceived usefulness on consumers’ attitudes toward influencer ads and their urge to buy impulsively.

A questionnaire containing seven constructs was developed and distributed to participants using a convenient sample and snowball sampling approach. The constructs were measured based on validated measurement items from the literature and adjusted according to this study’s focus. A total of 236 valid responses were obtained from the survey and used for data analysis. A partial least squares structural equation modeling approach was employed for parameter estimation and model testing.

The empirical results show that all constructs influenced consumers’ urge to buy impulsively via attitude toward influencer ads. The proposed research model explains 61.7% of the variance in attitude toward influencer ads and 19.4% of the urge to buy impulsively.

This is an early study investigating the relationship between influencer advertising and impulse buying. The results provide valuable insights into improving the design of influencer ads and marketing strategies.

1. I-eIB model tests the mechanism of influencer ads on consumers’ buying impulse.

2. Consumers’ attitude towards influencer ads affects their urge to buy impulsively.

3. Influencer credibility affects consumer attitude via celebrity effect as a mediator.

4. Trust affects consumer attitude via perceived usefulness as a mediator.

5. Entertaining ads help develop favorable consumer attitude.

I-eIB model tests the mechanism of influencer ads on consumers’ buying impulse.

Consumers’ attitude towards influencer ads affects their urge to buy impulsively.

Influencer credibility affects consumer attitude via celebrity effect as a mediator.

Trust affects consumer attitude via perceived usefulness as a mediator.

Entertaining ads help develop favorable consumer attitude.

The purpose of this paper is to examine the trends in research published by the TQM Journal since its indexing in the Scopus database in 2008. The paper intends to offer a bibliometric analysis of the TQM Journal by highlighting the contributions made by the journal through citations, prominent authors, most frequent keywords and publications across geographical regions.

The study involved the use of descriptive and visual methods to examine the quantitative and qualitative features of the bibliometric data. The authors made use of Biblioshiny using R-Studio and VoS viewer user interfaces to perform various types of bibliometric analysis on the bibliomteric data of the journal extracted from Scopus database (the largest inter-disciplinary database in social sciences).

With 85% of cited documents having a total 12,079 citations, the TQM Journal is one of the most reputed and impactful journals in the field of performance, integrated management system total quality management and allied concepts. The publications in the TQM Journal have cited many top-rated journals relevant to the domain. Maximum contributions in TQM Journal are submitted by authors from Italy, India and UK. Major submissions made to TQM Journal have focused on the quality concepts relevant to production and manufacturing sector in particular. In this regard, the TQM Journal has a very bright scope in covering the diverse and latest trends across industries especially during pandemic and changes happening thereof. The contributions of the editorial team along with authors and reviewers are unmatchable in making the reputation of the TQM Journal.

To the best of knowledge of the authors, this is going to be first bibliometric study ever conducted on the TQM Journal on documents published in Scopus database. The work carried out is unique, as it is an attempt by authors to comprehend the legacy of the TQM Journal through bibliometric data and showcase the past trends and explore future directions for the TQM Journal.

This study explores match related factors and their impact on the batting strike rate in Twenty20 cricket – an aspect which can generate excitement and fan engagement in cricket matches.

Data was collected from www.cricinfo.com using a web scraping tool based on R programming from February 17, 2005, to October 25, 2022, numbering 4,221 men’s Twenty20 international innings featuring 41 national teams that had taken place in 85 venues across 11 countries of play. Hypothesis testing was conducted using one-way ANOVA.

The findings indicate that batters score faster in the first inning of a match, and mean strike rates also vary significantly based on the country of play. Further, the study analyses the top performing national sides, venues and country of play in terms of mean batting strike rate, thus providing insights to cricket boards, international regulating bodies of cricket, sponsors, media companies and coaching staff for better decision-making based on batting strike rate.

The originality of the study lies in its focus on using non-marketing strategies to increase fan engagement. Further, this study is the first one to examine different venues from the perspective of batting strike rate in men’s Twenty20 international matches.

COVID-19 has affected the economies adversely from all sides. The sudden halt in production has impacted both the supply and demand sides. It calls for analysis to quantify the impact of the reduction in economic activity on the economy-wide variables so that appropriate steps can be taken. This study aims to evaluate the sensitivity of various sectors of the Indian economy to this dual shock.

The eight-sector open economy general equilibrium Global Trade Analysis Project (GTAP) model has been simulated to evaluate the sector-specific effects of a fall in economic activity due to COVID-19. This model uses an economy-wide accounting framework to quantify the impact of a shock on the given equilibrium economy and report the post-simulation new equilibrium values.

The empirical results state that welfare for the Indian economy falls to the tune of 7.70% due to output shock. Because of demand–supply linkages, it also impacts the inter- and intra-industry flows, demand for factors of production and imports. There is a momentous fall in the demand for factor endowments from all sectors. Among those, the trade-hotel-transport and manufacturing sectors are in the first two positions from the top. The study recommends an immediate revival of the manufacturing and trade-hotel-transport sectors to get the Indian economy back on track.

The present study has modified the existing GTAP model accounting framework through unemployment and output closures to account for the impact of change in sectoral output due to COVID-19 on the level of employment and other macroeconomic variables.

The case on Moodcafe captures the journey of the start-up and its entrepreneurs from the beginning till the fund-raising stage. The case brings forth critical decisions that each entrepreneur or the team of co-founders have to address during their start-up journey. This short case gives opportunity to delve into two aspects mainly a) As a founder, which investor should one choose for seeking funds and what should be the terms and conditions of investment? and b) How can one review and assess the business model of a start-up?

This paper aims to focus on the issue of high employee turnover in the Indian tech industry. An integrative review is conducted to analyse the past and current state of literature, as well as prepare a research agenda for future studies.

A pool of 72 articles published between 2010 and 2022 is reviewed with a special focus on Indian tech employees. This study elucidates the extent and impact of employee retention strategies through content analysis.

Two broad perspectives have been established in the literature: the reasons for quitting and the explanations for staying. By means of a comprehensive review, this paper combines these two aspects of literature and suggests factors under organization’s control to retain competent tech employees.

The study is designed to integrate the two theoretical viewpoints of employee turnover literature by consolidating the reasons behind quitting behaviour and staying intention. Codes combining the two aspects are presented as a valuable resource to retain tech talent.

This study investigates the overall publications of The TQM Journal since its inception with an aim to identify the trending topics and emerging trends.

The quantitative bibliometric and social network analysis techniques composed of keywords, co-occurrence network and keyword cluster detection are employed to conduct the investigation. A total of 968 papers published in The TQM Journal till August 2022 were sourced from the SCOPUS database to conduct the analysis.

The research identifies five themes from the published articles namely, customer service experience and satisfaction; quality management and organizational performance; quality measurement tools and models; quality and sustainable development; and quality and competitive advantage. The study also identifies the most significant articles, authors and countries published in the journal and shows that Industry 4.0 is the trending topic and quality 4.0 the new emerging trend in the journal.

The analysis is carried out only for papers published in The TQM Journal till August 2022; those after this month are not included in the analysis. The outcome of this study is dynamic in nature and subject to change over time as more papers, citations and collaborations are added to the list.

This is the first article of its kind to explore The TQM Journal publications with an aim to identify trending and emerging topics and also the most valuable authors based on the number of publications and citations through the bibliometric analysis.