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This study employs Stein Rokkan's methodological approach to analyse state formation in the Greater Middle East. It develops a conceptual framework distinguishing colonial, populist and democratic pacts, suitable for analysis of state formation and nation-building through to the present period. The framework relies on historical institutionalism. The methodology, however, is Rokkan's. The initial conceptual analysis also specifies differences between European and the Middle Eastern state formation processes. It is followed by a brief and selective discussion of historical preconditions. Next, the method of plotting singular cases into conceptual-typological maps is applied to 20 cases in the Greater Middle East (including Afghanistan, Iran and Turkey). For reasons of space, the empirical analysis is limited to the colonial period (1870s to the end of World War 1). Three typologies are combined into one conceptual-typological map of this period. The vertical left-hand axis provides a composite typology that clarifies cultural-territorial preconditions. The horizontal axis specifies transformations of the region's agrarian class structures since the mid-19th century reforms. The right-hand vertical axis provides a four-layered typology of processes of external intervention. A final section presents selected comparative case reconstructions. To the authors' knowledge, this is the first time such a Rokkan-style conceptual-typological map has been constructed for a non-European region.

Drawing on expectancy violation theory, this study aims to assess the impact of corporate environmental irresponsibility (CEI) on workplace deviant behaviors (WDB) of Generation Z and Millennials through the mediation of moral outrage.

The data were collected from 328 nonmanagerial employees working in the refinery, petroleum and power distribution companies who have been convicted for committing environmental irresponsibility by a court of law. Multigroup analysis (MGA) was used to estimate the hypothesized relationships.

Results revealed that CEI affects WDBs positively. Moreover, the MGA results demonstrated that the deviant behavior of Generation Z in response to environmental irresponsibility is higher than of the Millennials.

Theoretically, the findings implicate that harming the environment will cost organizational performance through deviant behaviors.

This study provides a new lens for the executive management that eliminating social irresponsibility is more important than incurring sustainability initiatives, especially from the new generation’s perspective.

The originality of this study is that it confirmed the impact of CEI on employees’ deviant behaviors; and extended the scope of expectancy violation theory to the field of human resources.

This paper aims to study the role of self-concept in consumer relationships with anthropomorphised conversational artificially intelligent (AI) agents. First, the authors investigate how the self-congruence between consumer self-concept and AI and the integration of the conversational AI agent into consumer self-concept might influence such relationships. Second, the authors examine whether these links with self-concept have implications for mental well-being.

This study conducted in-depth interviews with 20 consumers who regularly use popular conversational AI agents for functional or emotional tasks. Based on a thematic analysis and an ideal-type analysis, this study derived a taxonomy of consumer–AI relationships, with self-congruence and self–AI integration as the two axes.

The findings unveil four different relationships that consumers forge with their conversational AI agents, which differ in self-congruence and self–AI integration. Both dimensions are prominent in replacement and committed relationships, where consumers rely on conversational AI agents for companionship and emotional tasks such as personal growth or as a means for overcoming past traumas. These two relationships carry well-being risks in terms of changing expectations that consumers seek to fulfil in human-to-human relationships. Conversely, in the functional relationship, the conversational AI agents are viewed as an important part of one’s professional performance; however, consumers maintain a low sense of self-congruence and distinguish themselves from the agent, also because of the fear of losing their sense of uniqueness and autonomy. Consumers in aspiring relationships rely on their agents for companionship to remedy social exclusion and loneliness, but feel this is prevented because of the agents’ technical limitations.

Although this study provides insights into the dynamics of consumer relationships with conversational AI agents, it comes with limitations. The sample of this study included users of conversational AI agents such as Siri, Google Assistant and Replika. However, future studies should also investigate other agents, such as ChatGPT. Moreover, the self-related processes studied here could be compared across public and private contexts. There is also a need to examine such complex relationships with longitudinal studies. Moreover, future research should explore how consumers’ self-concept could be negatively affected if the support provided by AI is withdrawn. Finally, this study reveals that in some cases, consumers are changing their expectations related to human-to-human relationships based on their interactions with conversational AI agents.

This study enables practitioners to identify specific anthropomorphic cues that can support the development of different types of consumer–AI relationships and to consider their consequences across a range of well-being aspects.

This research equips marketing scholars with a novel understanding of the role of self-concept in the relationships that consumers forge with popular conversational AI agents and the associated well-being implications.

The study showcases the social impact (online attention) of funded research compared to nonfunded for the BRICS nations. The key themes achieving online attention across the funded and nonfunded publications have also been identified.

A total of 1,507,931 articles published across the BRICS nations for a period of three (03) years were downloaded from the Clarivate Analytics' InCites database of Web of Science (WoS). “Funding Acknowledgement Analysis (FAA)” was used to identify the funded and nonfunded publications. The altmetric score of the top highly cited (1%) publications was gauged from the largest altmetric data provider, “Altmetric.com”, using the DOI of each publication. One-way ANOVA test was used to know the impact of funding on the mentions (altmetrics) across different data sources covered by Altmetric.com. The highly predominant keywords (hotspots) have been mapped using bibliometric software, “VOSviewer”.

The mentions across all the altmetric sources for funded research are higher compared to nonfunded research for all nations. It indicates the altmetric advantage for funded research, as funded publications are more discussed, tweeted, shared and have more readers and citations; thus, acquiring more social impact/online attention compared to nonfunded publications. The difference in means for funded and nonfunded publications varies across various altmetric sources and nations. Further, the authors’ keyword analysis reveals the prominence of the respective nation names in publications of the BRICS.

The study showcases the utility of indexing the funding information and whether research funding increases social impact return (online attention). It presents altmetrics as an important impact assessment and evaluation framework indicator, adding one more dimension to the research performance. The linking of funding information with the altmetric score can be used to assess the online attention and multi-flavoured impact of a particular funding programme and source/agency of a nation so that necessary strategies would be framed to improve the reach and impact of funded research. It identifies countries that achieve significant online attention for their funded publications compared to nonfunded ones, along with the key themes that can be utilised to frame research and investment plans.

The study represents the social impact of funded research compared to nonfunded across the BRICS nations.

In 2022, the International Network for Quality Assurance (QA) Agencies in Higher Education (INQAAHE) published the new guidelines by adding three QA modules in response to the changing higher education landscape. The paper aims to investigate the transformative focus of quality assurance in higher education globally as well as Asian response to three new QA modules according to the INQAAHE ISGs.

The research conducted a quantitative approach for data collection. An on-line survey was conducted to perceive QA practices, perceptions toward new emerging QA modules and challenges encountered. In total, there were 26 responses from 18 territories with 22 QA agencies. A total of 13 out of them have a national qualifications framework in place.

Three are three major findings in the study. First, national policy and criteria and standards in distance education have been developed in the majority of Asian nations. Second, non-signatories of the Tokyo Convention had a higher proportion of having related policies, regulations and criteria in CBHE and distance education. Third, national policies and regulations; and lack of professional staff are two common challenges implementing QA in new types of providers.

The findings are of value for policymakers, QA agencies and universities to advocate the new QA model as a systematic approach in response to changing higher education landscape in the post pandemic era.

This paper aims to study antiques enthusiasts’ perspectives on the recent stagnancy in the antiques market, along with their suggestions on how the antiques trade can forge a more secure path forward.

Using a qualitative analysis approach through netnography, this paper examines archived comments of antiques enthusiasts on a “r/antiques” subreddit.

This research studies connoisseurs’ insights into the reduction in antiques sales experienced by a wide cross-section of sellers, particularly independent and small business retailers. Specifically, the results of this paper’s discourse analysis show that technological advances on one hand and socioeconomic factors (e.g. income, family structure and lifestyle) on the other hand have had a significant negative impact on demand for antiques. In addition, specific attributes such as authenticity and sustainability emerged as potential key marketing elements for invigorating the broader public’s interest in purchasing antiques.

Despite their significant insights into the antiques market, antiques enthusiasts have not received the academic attention they deserve. Through discourse analysis of comments in an online antiques community, this paper draws attention to the vulnerabilities of antiques markets to a protracted climate of slow sales, while highlighting potential strategies on how to turn the tide for struggling antiques stores.

The purpose of this study is to investigate the impulsive purchase of Generation Z of Muslim women on TikTok Shop. The primary attention in this stimulation investigation drives the impulsive buying between the Generation Z of Muslim women customers in Indonesia. This study provides valuable concept to help a company or cosmetic brand grow the marketing strategy for stimulating impulsive behaviour of Generation Z customers on TikTok Shop.

An online survey of 256 Muslim women consumers of the Generation Z was used to collect the data. Covariance-based structural equation modelling was applied to assess the five hypotheses.

The results of this study indicate that micro-celebrities post authenticity has a positive and significant relationship with utilitarian browsing. However, micro-celebrities post authenticity did not have a positive and significant relationship with hedonic browsing. This study also concludes that utilitarian browsing was found to have a positive and significant relationship with hedonic browsing. Finally, hedonic browsing was found to have a positive and significant effect on reminiscence impulse purchase intention and designed impulse purchase intention.

The primary limitation is the research sample that only consists of Indonesian TikTok Shop customers. Next, the researchers could examine the research model in several countries to expand its generalisation. The second one, this research does not consider the origin country of a cosmetic product. The future study must investigate the local and foreign cosmetics to see the preference and the differences in the impulsive purchase, especially for Z women generation customer. Third, this study quantifies the intention to buy impulsively so that the following research must investigate the ownership of the cosmetics product that has been bought before. Finally, the research only involves a quantitative research method. The future study must investigate with another approach, such as a qualitative method or mixed-method, in the impulsive purchase intention context.

A cosmetic company or marketer could maximise the authenticity, relevancy and attractive information that is posted by micro media social celebrities or media social influencers. Cosmetic companies or marketers must provide comprehensive information to satisfy customers’ browsing actions. Finally, besides the information related to the limited cosmetics product stock, discount and promotion as the effective strategy to stimulate the impulsive buying, the cosmetics marketing can use gamification, increasing the picture quality and equipping product descriptions, and making educational content.

The existence of TikTok Shop is increasing the number of cosmetics products and competitors because of product’s excessive availability in the market. In the social benefit context, the Generation Z Muslim women can purchase and use various cosmetics product available on TikTok Shop, but customers must be on guard by knowing the cosmetics material to prevent the healthiness. In addition, the existence of TikTok Shop and the impulsive purchases by the Generation Z Muslim women are also increasing the retailer or local cosmetics producer income.

This study is a contribution to consumer behaviour literature by raising the Stimulus–Organism–Response framework used in determining the factors influencing browsing and impulsive consumption of cosmetic products on TikTok Shop.

This study aims to develop and validate two scales: quiet quitting (QQ), measuring individual-level work disengagement, low organisational commitment and not going above and beyond in work, and quiet firing (QF), measuring employee perceptions of the degree to which their managers devalue them and when organisations intentionally create a situation to make them quit.

The scale development process involved item generation through literature search, review and interviews with working executives. The scales were then tested online by 264 participants from India.

In the quantitative analysis, the QQ and QF scales have good psychometric properties when tested with factor analysis, reliability analysis and Cronbach’s alpha. Furthermore, the convergent, discriminant and predictive validity of outcome constructs also showed significance.

This study found that the QQ and QF scales are highly reliable and exhibit good psychometric properties. To the best of the authors’ knowledge, this is one of the first studies to empirically develop and test the QQ and QF constructs and offer implications for organisations and managers.

Digitalization is revolutionizing the retail sector as today's consumers prefer a seamlessly integrated, fluid and irritation-free shopping experience enhanced with artificial intelligence (AI)-powered technologies. Literature highlights gaps in the understanding of the shopping experience in an omnichannel context, involving aesthetic, cognitive and affective experience dimensions. This research highlights the direct effects and the mechanism triggered in the presence of such device.

A sample of 259 consumers was interviewed at the point of sale. Data have been collected after a shopping experience in two concept stores belonging to the same fashion brand: (1) not equipped with AI-powered technology and (2) equipped with these tools. The measurement scales were validated through ANCOVA analysis and causal relationship analysis with structural equation modeling.

The results show that the presence of an in-store AI-powered technologies in a connected store generates a higher aesthetic reaction when visiting the store, a higher absorption when shopping through the flow and a higher intent to purchase. The authors further investigate the underlying mechanism triggered by the presence of this technology, which enables the authors to outline their consequences regarding purchase intention.

The study, conducted within an actual connected store in France, explores the impact of AI technology in connected retail environments on consumer responses. It is an early research in this field, shedding light on a rarely explored area. The authors’ research addresses a significant gap, providing insights into AI-driven retail experiences.

The higher-level aim of this study is to investigate the impact of health information needs satisfaction on the fear of COVID-19 for the general population. The investigation is theoretically grounded on Wilsons’ model of information seeking in the context of inquesting the reasons for seeking health information as well as the information sources the general population deploy during the COVID-19 pandemic.

This cross-sectional survey examines the correlations between health information seeking behavior and the COVID-19 generated fear in the general population through the application of a specially designed structured questionnaire which was distributed online. The questionnaire comprised four main distinct research dimensions (i.e. information needs, information sources, obstacles when seeking information and COVID-19 generated fear) that present significant validity levels.

Individuals were motivated to seek COVID-related health information to cope with the pandemic generated uncertainty. Information needs satisfaction as well as digital health literacy levels is associated with the COVID-19 generated fear in the general population. Finally, a conceptual framework based on Wilsons’ macro-model for information seeking behavior was developed to illustrate information needs satisfaction during the pandemic period. These results indicate the need for incentives to enhance health information needs satisfaction appropriately.

The COVID-19 generated fear in the general population is studied through the information seeking behavior lenses. A well-studied theoretical model for information seeking behavior is adopted for health-related information seeking during pandemic. Finally, digital health information literacy levels are also associated with the fear of COVID-19 reported in the authors’ survey.