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This study aims to explore the influence of perceived value, enjoyment and novelty of fast-food chains’ smart retailing technology (SRT) on Filipino consumers’ attitude and loyalty.

Purposive sampling was used in identifying the respondents (N = 343). The participants were composed of consumers of the leading fast-food chains in the Philippines, where SRT using self-service ordering kiosks is being implemented. The hypotheses were explored using partial least squares path modeling, and predictive-causal was the study’s research design.

The results reveal that, among the factors, perceived enjoyment substantially contributes to the formation of favorable consumers’ attitude toward SRT. Moreover, perceived value was found to have a moderate effect on attitude while perceived novelty showed small impact. In terms of consumers’ attitude and loyalty, the two variables were found to have large positive and significant relationship. The moderation analysis shows that consumers’ attitude toward SRT has medium indirect effect on the relationship between perceived enjoyment and loyalty, while there is small indirect influence on the links between perceived value and loyalty, and between perceived novelty and loyalty.

As more and more fast-food establishments are adopting the use of SRT via self-ordering kiosks, the present study is the only study in the Philippine context that explores how perceived value, enjoyment and novelty affect consumers’ attitude and loyalty.

This study investigates the role of supply chain knowledge management in enhancing pharmaceutical supply chain resilience.

This study focusses on the Middle East region, where semi-structured online interviews were conducted with 38 professionals from the pharmaceutical supply chain to collect empirical data.

The study reveals that supply chain knowledge management is a crucial value-adding practice that improves pharmaceutical supply chain resilience. Effective supply chain knowledge management enables organisations to develop agility, change, adaptability, problem-solving, response and innovation capabilities that support supply chain resilience. However, challenges related to supply chain management practices, people, processes and technology hinder the effective promotion of supply chain knowledge.

This study reminds managers that knowledge management is critical for building resilience in supply chains.

The study highlights the importance of a resilient pharmaceutical supply chain for organisations and society. The study advocates that effective supply chain knowledge management can help ensure a sustained supply of high-quality pharmaceutical products and services during crises.

The study offers novel insights by examining pharmaceutical supply chain resilience from a knowledge management perspective and highlighting the potential of knowledge capabilities to enable supply chains to recover from crises and adapt to the new normal. This study also highlights the key strategic considerations for managing knowledge effectively throughout the supply chain.

Multinational business deliver value via multiple sites with similar operational capacities. The age of the Fourth Industrial Revolution (4IR) delivers significant opportunities for the deployment of digital tools for business optimization. Therefore, this study aims to study the Industry 4.0 implementation for multinationals.

The key objective of this research is multi-site systems integration using a reproducible, modular and standardized “Cyber Physical System (CPS) as-a-Service”.

A best practice reference architecture is adopted to guide the design and delivery of a pioneering CPS multi-site deployment. The CPS deployed is a cloud-based platform adopted to enable all manufacturing areas within a multinational energy and petrochemical company. A methodology is developed to quantify the system environmental and sustainability benefits focusing on reduced carbon dioxide (CO₂) emissions and energy consumption. These results demonstrate the benefits of standardization, replication and digital enablement for multinational businesses.

The research illustrates the ability to design a single system, reproducible for multiple sites. This research also illustrates the beneficial impact of system reuse due to reduced environmental impact from lower CO₂ emissions and energy consumption. The paper assists organizations in deploying complex systems while addressing multinational systems implementation constraints and standardization.

Brief loving-kindness meditation (LKM) is introduced here as a valid social marketing intervention. LKM positively influences prosocial cognitions and affects. However, it remains unclear whether brief meditation interventions can influence prosocial behavior. This study aims to provide evidence of the effects of short LKM on prosocial behavior.

This study reports the results of three experiments examining the effects of brief LKM on donations to unknown others. The results are then integrated with the results of seven other studies testing the effects of brief LKM on prosocial behavior using a meta-analysis (n = 683).

LKM increased love more than the control group (focused breathing) in the three experiments; however, its effects on donations were mixed. The meta-analysis shows that LKM has a small-to-medium significant effect compared to active control groups (d = 0.303); moreover, age and type of prosocial measure used moderate the effects.

Results suggest that LKM can nurture prosocial emotions such as love and lead young individuals to donate. However, these emotions may not be sufficient to lead adult meditators to share their resources with unknown others. This study presents the first meta-analysis of brief LKM and provides insights into the use of meditation in social marketing programs.

Despite South Africa’s ailing electrical grid, substantial renewable energy (RE) integration is planned for the country. As grid-integrated RE affects all grids differently, this study aims to develop an adaptable grid code-guided renewable power plant (RPP) control real-time simulation testbed, tailored to South African grid code requirements to study grid-integrated RE’s behaviour concerning South Africa’s unique conditions.

The testbed is designed using MATLAB’s Simulink and live script environments, to create an adaptable model where grid, RPP and RPP guiding grid codes are tailorable. This model is integrated with OPAL-RT’s RT-LAB and brought to real-time simulation using OPAL-RT’s OP4510 simulator. Voltage, frequency and short-circuit event case studies are performed through which the testbed’s abilities and performance are assessed.

Case study results show the following. The testbed accurately represents grid code voltage and frequency requirements. RPP point of connection (POC) conditions are consistently recognized and tracked, according to which the testbed then operates simulated RPPs, validating its design. Short-circuit event simulations show the simulated wind farm supports POC conditions relative to short-circuit intensity by curtailing active power in favour of reactive power, in line with local grid code requirements.

To the best of the authors’ knowledge, this is the first design of an adaptable grid code-guided RPP control testbed, tailored to South African grid code requirements in line with which RPP behavioural and grid integration studies can be performed.

This study aims to examine the relationship between the personality dimensions of consumers and celebrities; the effect of celebrity personality on attitude towards the celebrity; and the effect of attitude towards the celebrity on purchase intention.

Data were gathered from 400 respondents in the North of England to explore the connections between five consumer personality dimensions (agreeableness, extroversion, openness, conscientiousness and neuroticism) and nine celebrity personality dimensions (neuroticism, extroversion, openness, agreeableness, conscientiousness, sincerity, excitement, stylishness and positivity) and were analysed using structural equation modelling.

The findings suggested that some dimensions of consumer personality, i.e. conscientiousness, extroversion and openness, were significantly related to all the celebrity personality dimensions. Moreover, all the celebrity personality dimensions had a significant effect on consumers’ attitude towards the celebrity; however, only neuroticism, extroversion, openness, sincerity and positivity significantly affected purchase intention. Finally, attitude towards the celebrity had a significant effect on purchase intention.

The study introduces a celebrity personality scale and explores a topic that has not previously been researched.

The purpose of this study is to provide information that reflects the true state of affairs and to develop a conceptual model that examines the moderating effect of uncertainty on relative brand trust–love.

Extant empirical studies, conceptual literature and related theories were identified and integrated to develop the conceptual model.

Findings of the study suggest that relative brand trust–love arises because of different components of uncertainty. Relative brand trust–love exhibited by the customer is moderated by uncertainty at the individual level, brand level and technology level. These uncertainties represent the situation that considers if relative brand trust–love can be enhanced. A few propositions have been suggested for such situations to enhance relative brand trust–love.

This paper proposes a conceptual model and also makes research propositions that need to be validated and confirmed empirically. It adds value to theoretical advancements in strengthening the customer–brand relationship. Furthermore, results suggest that relative brand trust–love can be improved over time if these components can be supported by increasing information at different levels. The conclusions will be informative to practitioners and brand managers in strengthening a brand into the market more effectively. Moreover, it can transform the brand into a global brand and help build sustainable long-term relationships. Findings can be useful and interesting information for the researchers who are interested in finding strategic ways for effective decision-making related to brand trust and brand love.

The conceptual model, and the propositions related to different levels of uncertainty, and its effect on relative brand trust–love, is a new approach in enhancing relative brand trust–love and hence helpful in strengthening the quality of customer–brand relationships.

Organizations sustain competitiveness by improving product or service quality, performing efficiently or innovating. This paper aims to investigate the relationship between knowledge management (KM) and sustainable competitive advantage (SCA) in business organizations in the Kingdom of Bahrain. The KM initiatives are categorized into knowledge creation, knowledge storage, knowledge transfer and knowledge application. Employees’ attitudes toward workplace knowledge resources are derived from their perceptions of their importance, usefulness and ease of use.

This paper adopts a cross-sectional survey design. Data is collected via an electronic questionnaire developed using Google Forms. Purposive sampling used a list of 122 business organizations. Ninety responses were received and taken into consideration for data analysis.

Spearman correlation analysis and partial least square structural equation modeling revealed a positive association between KM and SCA. This study reflected a positive association between employees’ attitudes toward knowledge resources and sustaining organizations’ competitive advantages.

In Bahrain, empirical studies still need to be developed to explore KM in business organizations and investigate its association with SCA. This study aims to fill this gap by examining the relationship between KM and the sustainability of quality, efficiency and innovation-based competitive advantages in business organizations in an emerging economy context.

A woman's nutritional status significantly determines her overall well-being. The authors critically examine the trends — including socioeconomic disparities — in undernutrition among Muslim women in India, a notably socio-economically disadvantaged group. The authors also investigate trends and variations across the dimensions of caste, place of residence (rural/urban), education, economic status and geographic regions.

The analysis leverages the nationally representative National Family Health Surveys (NFHS) of India conducted between 1998 and 2021. The authors examined poor–rich ratios, concentration indices, disparity ratios and predicted probabilities of being underweight (captured using Body Mass Index).

From 1998 to 2021, there has been a decline in undernutrition prevalence among Muslim women. However, stark socioeconomic variations persist. While the prevalence has decreased over time across all socioeconomic groups, disparities — both within and between groups — remain significant and, in many cases, have expanded. For certain socioeconomic subgroups (e.g. Muslim women with no formal education or those in the Central and Northeast regions), the disparity doubled between 1998 and 2021. In regions like the South, where undernutrition prevalence is low or has reduced, disparities remain significant and generally have increased.

To the authors’ knowledge, the study is the first to provide a comprehensive examination of the prevalence, trends and socioeconomic disparities in undernutrition among Muslim women in India over the past two decades.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0320

The provision of fair and remunerative prices to farmers through government intervention is one of the key debates to address the farmers' distress in India. This article identifies how different marketing channels are responsible for higher price realization over the officially announced minimum support price (MSP).

The study uses the NSSO-SAS, 2012–13 and NSSO-SAS, 2018–19 for Aggregate level data and Unit Level Data on the Situation Assessment Survey of Farmers' households. It uses logit regression to determine the factors responsible for better price realization.

Our major findings indicate that two factors importantly determine better price realization than MSP. Firstly, government agencies provide better prices for crops covered by MSP, such as paddy, wheat and cotton. However, the probability of receiving higher prices increases for some crops if the farmers belong to the upper land size classes and upper social category. Secondly, jowar, bajra, maize and ragi, other important crops that don't benefit from government agencies, may require higher levels of procurement at the state level.

The present study only analyzes selected major crops. Distance is an important factor in choosing a marketing channel that is not incorporated due to unavailability in NSS Data.

The study is based on the latest original empirical evidence and sheds light on the variation in price realization in different agricultural marketing channels in India.