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This meta-analysis aims to examine and compare the pleasant ambient scent effects on consumers’ affective, cognitive and behavioural responses in the retail and hospitality sectors.

55 articles, including 102 effect sizes, are collected from electronic databases and search engines. The effect of pleasant ambient scents on consumer responses is examined using meta-regression analysis.

The results show a positive effect of pleasant ambient scent on all responses in both sectors, while the effects on cognitive and behavioural responses are stronger in hospitality than retailing. Moreover, the scent effects in hospitality research vary with method aspects, including sampling frame, research design, setting and location.

The findings provide theoretical insights on the sensory tangibilization of experience and methodological insights on designing scent research.

The stronger effect of pleasant ambient scents on cognitive and behavioural responses in a hospitality environment signals that contextual differences should not be neglected. Moreover, hospitality researchers need to stay vigilant to the methodological influence on the findings about scent effects. These findings enrich the sensory marketing literature, in which contextual comparison is scarce.

While scholars have researched the impact of specific total quality management (TQM) aspects on innovation performance (INP), empirical evidence on how the former, as a composite construct, influences the latter is rare. To add, empirical evidence on the mechanism through which TQM passes to affect innovative behaviour (INB) and, then, INP is limited. Essentially, scholars have requested that future research look at the boundary conditions that support the adoption of TQM activities in businesses. Although the banking sector has experienced a number of transformations, there is still a need to raise the standard of service provided to bank customers. This research sheds more light on this subject.

This research tests the hypotheses in Ahinful et al.’s (2023) conceptual model using responses from 260 top- and middle-level bank managers by applying Smart PLS. Organisational support and team member exchange were used as potential control variables for the mediator, while slack resources and bank size were applied to the target endogenous latent construct. Mediation and moderation effects were estimated using the variance accounted for (VAF) and product indicator approaches, respectively. Sig. level was set at 5%.

This study found that TQM and INP had a positive and significant connection (ß = 0.303, p = 0.000), and INB partially mediated this connection (VAF = 40.92%). However, government regulation (GOV; ß = 0.055, p = 0.365), market dynamism (MKD; ß = 0.063, p = 0.434), competitive intensity (CMP; ß = 0.069, p = 0.297) and technological turbulence (TUR; ß = 0.011, p = 0.865) all failed to moderate the TQM–INB connection, although the expected positive directions of these moderation relationships were established.

This research provides empirical evidence on the TQM–INP connection, how this connection may be mediated and how the TQM–INB connection may be activated. It also sheds light on novel ways in which service quality in the banking sector may be improved. Upcoming research may explore other control variables in their research. Since the moderating relationships were unsupported, this avenue is open for further research, particularly in other banking settings across the globe.

Practical lessons for bank consultants, regulators, customers, employees and managers are deliberated.

This research is novel. It is the first to test the hypotheses in Ahinful et al.’s (2023) conceptual model. This study advances the theoretical frameworks and existing knowledge within the TQM, innovation and performance management fields.

The purpose of this paper is to study triadic market relations between an international aid agency (IAA), local ventures and the poor communities where they are embedded in order to shift the poverty alleviation discussion to account for the perceptions held by each category of actor, especially those of poor communities. Poverty alleviation is a key commitment of the United Nations, and market-driven approaches are increasingly advocated as a means to reduce poverty, particularly among IAAs. One such strategy is to connect ventures in poor communities with international markets. However, research shows that such approaches have mixed success.

The authors conducted a comparative case study of three ventures embedded in urban and rural poor communities receiving support from an IAA. The authors then analyzed the data to determine the mechanisms that led to discrepancies in the perceptions of poverty alleviation held by each actor involved.

This study suggests three such mechanisms: ‘decoupling markets from poverty’, wherein aiding ventures may paradoxically lead to decoupling them from poor communities; ‘overburden stress’, in which ventures cannot fulfil a poverty alleviation role through their market activities because the expectation to do so overburdens the venture; and ‘value divergence’, in which the actors involved evaluate the impact of these approaches differently.

The authors propose that a key aspect of enabling effective poverty alleviation through market-driven approaches in terms of substantial, long-term contributions is to monitor and support the relations between the actors involved – including the poor communities themselves – and explore how each perceives the efficacy of the approach.

El objetivo de nuestro estudio es integrar las percepciones de tres actores: los organismos internacionales, los emprendimientos en comunidades pobres y las propias comunidades pobres, con el fin de cambiar la discusión sobre la reducción de la pobreza hacia las percepciones de los diferentes actores involucrados en las relaciones de mercado, en particular las de las comunidades pobres. La reducción de la pobreza es un compromiso clave de las Naciones Unidas, y en la actualidad se promueven enfoques de mercado como un medio para reducir la pobreza, especialmente entre los organismos internacionales. Una estrategia consiste en conectar emprendimientos en comunidades pobres con mercados internacionales. Sin embargo, investigaciones previas muestran que estos enfoques de mercado tienen un éxito variado en ciertas ocasiones y en otras no.

Realizamos un estudio de casos comparativo de tres emprendimientos en comunidades pobres urbanas y rurales que reciben apoyo de un organismo internacional. Luego, analizamos nuestros datos para determinar qué mecanismos condujeron a discrepancias en las percepciones de cada actor involucrado con respecto a la reducción de la pobreza.

Nuestro estudio identifica tres mecanismos que explican las discrepancias en las percepciones de los actores involucrados con respecto a los enfoques de mercado para la reducción de la pobreza: ‘desvinculación de los mercados de la pobreza’, en donde el apoyo a los emprendimientos puede llevar paradójicamente a separarlos de las comunidades pobres; ‘estrés de sobrecarga’ que captura situaciones en las que los emprendimientos no pueden cumplir su función de reducción de la pobreza a través de sus actividades en el mercado debido a que la expectativa de hacerlo, aunque implícita, sobrecarga al emprendimiento; y ‘divergencia de valores’ que muestra que los actores involucrados a menudo evalúan de manera diferente el impacto de los enfoques de mercado en la pobreza.

Proponemos que un aspecto clave de la reducción efectiva de la pobreza a través de enfoques de mercado que hagan contribuciones sustanciales y a largo plazo es monitorear las relaciones y la eficacia percibida entre todos los actores involucrados en estos enfoques, incluyendo a las propias comunidades pobres.

El objetivo de nosso estudo é integrar as percepções de três atores: os organismos internacionais, os empreendimentos em comunidades pobres e as próprias comunidades pobres, com o objetivo de mudar a discussão sobre a redução da pobreza para as percepções dos diferentes atores envolvidos nas relações de mercado, particularmente as das comunidades pobres. A redução da pobreza é um compromisso chave das nações unidas, e atualmente abordagens de mercado são promovidas como um meio para reduzir a pobreza, especialmente entre os organismos internacionais. Uma estratégia consiste em conectar empreendimentos em comunidades pobres com mercados internacionais. No entanto, pesquisas anteriores mostram que essas abordagens de mercado têm sucesso variado em algumas ocasiões e em outras não.

Realizamos um estudo de casos comparativo de três empreendimentos em comunidades pobres urbanas e rurais que recebem apoio de um organismo internacional. Em seguida, analisamos nossos dados para determinar quais mecanismos levaram a discrepâncias nas percepções de cada ator envolvido em relação à redução da pobreza.

Nosso estudo identifica três mecanismos que explicam as discrepâncias nas percepções dos atores envolvidos em relação às abordagens de mercado para a redução da pobreza: ‘desvinculação dos mercados da pobreza’, onde o apoio aos empreendimentos pode paradoxalmente separá-los das comunidades pobres; ‘estresse de sobrecarga’ que captura situações em que os empreendimentos não podem cumprir sua função de redução da pobreza por meio de suas atividades no mercado devido à expectativa de fazê-lo, mesmo que implicitamente, sobrecarregando o empreendimento; e ‘divergência de valores’ que mostra que os atores envolvidos frequentemente avaliam de maneira diferente o impacto das abordagens de mercado na pobreza.

Propomos que um aspecto-chave da redução efetiva da pobreza por meio de abordagens de mercado que façam contribuições substanciais e a longo prazo é monitorar as relações e a eficácia percebida entre todos os atores envolvidos nessas abordagens, incluindo as próprias comunidades pobres.

The current study aims to propose and empirically investigate a conceptual model of the most relevant antecedents and consequences of Corporate Social Responsibility (CSR) attribution, thus providing a practical and concise model as well as examining brand attachment as a mediator explaining the relationship between CSR attribution and its consequences.

A between-subjects experimental design was employed. The study included two experimental conditions; intrinsic and extrinsic CSR attribution and a control condition. An online self-administered survey was utilised for data collection. The sample was a convenience sample of 336 university students. Both one-way between-groups ANOVA and Partial Least Squares-Structural Equation Modelling (PLS-SEM) were utilised for hypotheses testing.

The most significant antecedents of CSR attribution in order of importance are the firm's approach to CSR communication, past corporate social performance, CSR type and the firm's call for customers' participation in its CSR. CSR attribution exerted a significant direct positive impact on brand attachment and trust. Three significant indirect consequences of CSR attribution were PWOM intention, purchase intention and brand loyalty intention. Whereas trust played a significant mediating role between CSR attribution and its three indirect consequences, brand attachment exerted significant mediation only between CSR attribution and brand loyalty intention. Brand attachment might mediate the relationship between CSR attribution and purchase intention. However, brand attachment failed to play a mediating role between CSR attribution and PWOM intention.

Several studies marginally investigated CSR attribution. Despite the vital role of CSR attribution in how consumers receive firms' CSR engagement, the availability of CSR attribution-centric studies is limited. By introducing a model of the most relevant antecedents and consequences of CSR attribution, this study aids in understanding the psychological mechanism underlying consumers' CSR attribution and provides valuable implications.

This study examines the mediating roles of the three dimensions of business intelligence (sensing capability, transforming capability and driving capability) in the relationship between the three dimensions of big data analytics capability (big data analytics management, technology and talent capabilities), and radical innovation among Chinese manufacturing enterprises.

A theoretical framework was developed using the resource-based view. The hypothesis was tested using empirical survey data from 326 Chinese manufacturing enterprises.

Empirical results show that, in the Chinese manufacturing context, business intelligence sensing capability, business intelligence transforming capability and business intelligence driving capability positively mediate the impact of big data analytics capability on radical innovation.

The results offer managerial guidance for leaders to properly use big data analytics capability, business intelligence and radical innovation as well as offering theoretical insight for future research in the manufacturing industry’s radical innovation.

This is among the first studies to examine three dimensions of big data analytics capability on the manufacturing industry’s radical innovation by considering the mediating role of three dimensions of business intelligence.

Applying the stimulus-organism-response (S-O-R) theory in a wine museum context, this paper aims to examine how and why experience design characteristics influence visitor satisfaction, particularly investigating the role of epistemic (learning) and hedonic (having fun) values as the underlying mechanisms of this relationship.

The authors collected field survey data from 652 visitors at a world-leading wine museum. The authors tested the research model on ten modules of the museum using path analysis and a bootstrap approach; the authors further conducted mediation analyses to test how the design of the museum’s modules influenced perceived value and satisfaction.

Content comprehensibility and surprise, as well as interactivity and ease of use, are core design characteristics that drive visitor satisfaction. More significantly, hedonic and epistemic values play a significant mediating role in influencing the relationship between design characteristics and visitor satisfaction.

The authors provide clear and actionable recommendations to help managers design museums that provide educational, entertaining and satisfying visitor experiences.

To the best of the authors’ knowledge, this is the first study to apply the S-O-R theory in a wine museum context. The significance of this study lies in demonstrating how and why experience design characteristics support the creation of an edutainment visitor experience that drives visitor satisfaction.

This paper employs bibliometric analysis to explore transformative trends and emerging research patterns in the intersection of digital technology and tourism. The goal is to provide insights into the evolving landscape, identify key themes, influential authors and prominent journals, contributing to a nuanced understanding of this dynamic field.

This study rigorously employs bibliometric analysis from 2002 to 2023, using Scopus and Web of Science databases, yielding 2,040 Scopus and 1,389 Web of Science documents. After meticulous data selection, 575 articles were refined. Utilising VOSviewer and Biblioshiny, the analyses focus on publication trends, citations, authorship, collaborations and thematic clusters, addressing four research questions.

This bibliometric analysis reveals a significant growth in annual scientific production on digital technology and tourism, peaking at 100 articles in 2023. Key contributors include LAW R., CHUNG N. and KOO C. China leads in research output, and influential journals include “Current Issues in Tourism” and “Information Technology and Tourism.” Noteworthy trends emphasise the centrality of “smart tourism” and the interconnectedness of technology, hospitality and management in shaping future research directions.

Stakeholders should focus on integrating emerging technologies in tourism, emphasising areas with high research activity. Professionals must stay updated on evolving trends, adopt innovative digital solutions and collaborate to navigate the dynamic landscape.

This study pioneers the first bibliometric analysis on digital technology in the tourism industry, providing a unique and comprehensive exploration of the scholarly landscape from 1998 to 2023, shedding light on key contributors, influential journals and emerging trends.

This study aims to investigate contextual factors affecting the deployment of strategy-driven manufacturing accounting techniques (SMAT), as well as the impact of SMAT usage on organisational competitiveness. Seven major SMAT were investigated, namely, benchmarking, integrated performance measurement, environmental management accounting, strategic costing, strategic pricing, strategic investment and life cycle costing.

By using multi-informant strategy, structured questionnaire was used to gather survey data from 129 senior accounting, finance and production personnel of publicly quoted manufacturing companies in Nigeria. Data was analysed using structural equation modelling and propensity score matching.

Result shows that the usage rate of the SMAT is generally moderate. Market orientation and deliberate strategy formulation are notable determinants of SMAT usage. The inability of competition intensity and perceived environmental uncertainty to notably affect SMAT usage suggests that external environmental pressure to use SMAT is weak.

Although the impact of SMAT usage on organisational competitiveness is positive and statistically significant, it is conceivable that the impact of SMAT could have been more assuming SMAT recorded extensive usage. Thus, the lack of competitiveness of manufacturing companies in Nigeria may not be unconnected to the superficial usage of SMAT.

The study contributes to knowledge in three ways. First, it extends studies on the contingency theory that contextual factors influence the adoption of management accounting innovations. Second, it exposes the contextual factors affecting the adoption of SMAT in a developing country. Third, it provides evidence on the value relevance of management accounting innovation in enhancing organisational competitiveness.

The purpose of this paper is to develop and test an integrated model to examine the relationship between work engagement and three facets of perceived job performance (PJP). The authors argue that work engagement might not optimally improve PJP unless it is channelized through information and communication technology orientation.

Data for the present research were collected from higher educational institutes in the northern region of India by using a convenient sampling technique. Results of structural equation modeling (SEM) through AMOS 20 revealed that work engagement facilitates all three facets i.e. task performance, contextual performance and adaptive performance of teaching professionals. Furthermore, SEM results established the partial mediating effect of information and communication technology orientation between work engagement, task performance, contextual performance and adaptive performance.

Findings from present research contribute theoretically as well as practically to job performance and work engagement literature by giving insights to administrators and practitioners on how to improve the overall job performance of teaching professionals by enhancing their engagement and addressing their need for digital know-how.

To the best of the authors’ knowledge, this study is one of the first to study the impact of work engagement and information and communication technology on the three facets of PJP using a diverse sample of 1030 teachers from universities in North India.

The purpose of this study is to examine the determinants impacting consumer behaviour in organic food consumption in Bangladesh. This study aims to identify the key factors facilitating organic food consumption and establish a framework by analysing their contextual relationships.

The study used interpretive structural modelling (ISM), relying on expert perspectives from experienced academicians and marketing professionals. A Matrice d'Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) analysis was performed to assess the driving forces and interdependencies among these determinants.

The MICMAC analysis grouped determinants influencing organic food purchases into four categories. The dependent factors, like attitude and food safety, showed moderate driving forces and high dependence. Linkage determinants, such as environmental concern and price, exerted considerable influence with moderate dependence. Independent variables, especially knowledge about organic food, had a strong impact with relatively low dependence.

This study’s insights offer valuable guidance for managers in the organic food industry, providing strategies to address consumer behaviour. Prioritising education on environmental benefits, transparent pricing, collaborating on policies, ensuring food safety and understanding determinants impacting purchase intent can aid in designing effective marketing strategies and product offerings aligned with consumer needs, ultimately promoting sustainability.

To the best of the authors’ knowledge, this study is the first to investigate the interconnections and relative significance of determinants influencing organic food purchases, using the ISM approach and MICMAC analysis. It delves into the previously unexplored territory of understanding the relationships and hierarchical significance of these determinants in shaping consumer behaviour towards organic food purchases.