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Service providers and consumers alike are increasingly adopting artificial intelligence service agents (AISA) for service. Yet, no service quality scale exists that can fully capture the key factors influencing AISA service quality. This study aims to address this shortcoming by developing a scale for measuring AISA service quality (AISAQUAL).

Based on extant service quality research and established scale development techniques, the study constructs, refines and validates a multidimensional AISAQUAL scale through a series of pilot and validation studies.

AISAQUAL contains 26 items across six dimensions: efficiency, security, availability, enjoyment, contact and anthropomorphism. The new scale demonstrates good psychometric properties and can be used to evaluate service quality across AISA, providing a means of examining the relationships between AISA service quality and satisfaction, perceived value as well as loyalty.

Future research should validate AISAQUAL with other AISA types, as they diffuse throughout the service sector. Moderating factors related to services, the customer and the AISA can be investigated to uncover the boundary conditions under which AISAQUAL is likely to influence service outcomes. Longitudinal studies can be carried out to assess how ongoing use of AISA can change service outcomes.

Service managers can use AISAQUAL to effectively monitor, diagnose and improve services provided by AISA while enhancing their understanding of how AISA can deliver better service quality and customer loyalty outcomes.

Anthropomorphism is identified as a new service quality dimension. AISAQUAL facilitates theory development by providing a reliable scale to improve the current understanding of consumers’ perspectives concerning AISA services.

The study aims to examine the impact of an artificial intelligent service agent (AISA) on customer services to the rural population provided by KAYA, Kotak Life's AI-enabled insurance chatbot avatar that offers quality insurance services.

Multi-stage cluster sampling method was adopted to collect the responses from the 707 customers across the rural population of southern states of India. SPSS V.2 and Smart PLS 4 were used to apply simple percentage analysis, multiple linear regression analysis, and structural equation modeling (SEM) to validate the hypothesis. The dependent variables are economic performance and market performance based on the independent variables: efficiency, security, availability, enjoyment and contact.

The study revealed that efficiency and security are the highest predictors and the most influencing variables in predicting the economic and market performance of the insurance companies in determining the quality of service when rendered through AISA among the customers. Efficiency, security, availability, contact and enjoyment are the critical dimensions of AISA. It has a more significant impact on quality service (claim processing) to the rural population. It improves the economic and market performance among the insurance companies and the rural population.

Customers need convenience when making claims. Even little challenges might lead to stress and unhappiness, depending on the situation. Restrictions on where customers can file claims may not be the most outstanding service insurance firms can offer, given rising travel and commuting costs and widening geographical borders. Customers value proactive communication from service providers about the status of their insurance claims.

This paper aims to provide an understanding of how brands acquire meanings in a historical context. It examines the politico-economic environment that led to emergence of khadi in India.

The paper uses historical data to examine political economy of khadi. The author uses both written text and visuals for data collection and analysis.

It elucidates how the significance of khadi changed from being a mere cloth to a product of self-sufficiency and national importance in India’s freedom movement. This work is based on the analysis of Gandhian activities, especially consumption of khadi and usage of spinning wheel, during Indian freedom movement. The work analyzes the evolution of khadi in its historical, social and political context in colonial India. This paper reveals how and why brands acquire certain historical meanings.

The paper is developed in colonial India.

This paper examines the role of institutions, social and political movements in the creation, development and nurturing of a brand and its meanings.

The purpose of this paper is to develop and describe a pixel‐based airborne hyperspectral remote sensing system approach for searching for missing and lost RMAF aircraft, especially the NURI helicopter that crashed in Genting‐Sempah, Malaysia on Friday 13 July 2007, ten minutes after leaving the RMAF 10th Squadron based in Sg. Besi Camp, Selangor, Malaysia. It was reported found crashed with all six air force crew onboard killed, four days later on 17 July 2007 at 13.25 hours 5 km North‐west of Genting‐Sempah‐Karak‐Highway.

The objective is achieved by exploring the use of a very high 1 m² spatial resolution (pixel‐based) airborne hyperspectral imaging system near real‐time data processing within two hours after landing. The UPM‐Aeroscan's AISA is a state‐of‐the‐art aircraft mounted commercial hyperspectral sensor operated for SAR development application by Forest Geospatial Information and Survey Lab (FGISL)/Aeroscan Precision (M) Sdn Bhd. in Block C3, UPM‐MTDC Tech Centre, Lebuh Silikon, Universiti Putra Malaysia. It is designed to provide a near real time, frequent, repetitive, accurate and reliable pushbroom instrument that acquires images in hundreds of registered, contiguous narrow spectral band passes such that for each element it is possible to derive a complete reflectance spectrum between the tree crowns, a damaged or slashed tree canopy and an anomaly especially metal like foreign object that penetrates into the tree crowns of a dense forest. Using an advanced Spectral Angle Mapper (SAM) digital analysis and two archives spectral signatures of flying and “parked” NURI helicopters, in addition to ground supporting data from the civilian eye‐witnesses, spectral matching of images is applied to identify and map the missing helicopter.

Despite the bad weather hampering the search and air surveillance‐to‐ground verifications, the NURI helicopter was reported found crashed with all six air force crew onboard killed, four days later based on the GPS suspected locations analysed and mapped from the UPM‐APSB's AISA airborne hyperspectral sensor data. The GPS locations given by the image were, however, not accurate for ground verifications since an old military topographical map were used. The GPS locations from the airborne image was transferred on to a Google Earth image in the Operations Room but, for ground verifications, a different set of reference topographical maps were used. However, the suspected search target sites were not that far away from the actual sighted RMAF NURI helicopter wreckage.

The value and contribution of this research are the successful application of operating a pixel‐based airborne hyperspectral sensor to locate missing military helicopters in SAR. It is expected that the UPM‐APSB's AISA airborne hyperspectral sensor can be of further use in future SAR for missing civilian helicopters or commercial aircraft.

The purpose of this paper is to assess the effect of two promotional methods, namely, celebrity endorsed advertisement and selfie promotion, on customers’ decision-making processes using the AISAS model.

A within-subject experimental design was used to observe how young adults in Malaysia would respond to two promotional methods about a new seafood restaurant. A total of 180 responses were collected using a structured questionnaire. Data were assessed and analysed using partial least squares structural equation modelling.

The results show that while celebrity endorsed advertisement remains relevant to customer’s decision-making processes, the effect of selfie promotion is comparable to celebrity endorsement. The sequential mediation for both models is found to be significant, but the AISAS model with selfie promotion produces better in-sample prediction (model selection criteria) and out-of-sample prediction (PLSpredict) compared to celebrity endorsed advertisement, thus suggesting its better representation to reality.

Despite being limited to young adults in Malaysia and a particular product, the study is essential to understanding the effect of celebrity endorsed advertisement and selfie promotion on decision-making processes.

The study provides insights into how business organisations could exploit the advancement of communication technology to encourage selfie behaviour to promote their products in an innovative and competitive manner.

The assessment of the effect of celebrity endorsed advertisement and selfie promotion on decision-making processes using PLSpredict and model selection criteria articulates the relevance of selfie as a promotional tool. It also provides an alternative technique for conducting model comparison research.

The aim of this paper is to present the latest advances in real‐time airborne hyperspectral sensing applications in identifying and mapping the likely spots to be zeroed in for the SAR operations.

A Sabah Air GAF Nomad N22B low altitude fixed wing aircraft equipped with an AISA airborne hyperspectral imaging system flew over the steep gradient carved by very narrow valleys, ridges, precipitous escarpments and ravines, extensively covered by thick virgin forest of the highlands. The study was carried out by an AISA sensor, which is a complete system that consists of a compact hyperspectral sensor head, miniature GPS/INS sensor for precise positioning, data acquisition unit and Caligeo post‐processing software.

These UPM‐APSB's AISA flights demonstrated that quality real‐time hyperspectral images could be pre‐processed on‐board the aircraft and become accessible to the SAR committee members for quick ground SAR within two hours after the flight. The combined geospatial information technologies were a major breakthrough in the Malaysian SAR real‐time imaging technique.

It is expected that future precise locations of the suspected targets can be transmitted via very high frequency radio communications and become accessible to the SAR ground members such as the commandos VAT 69. Real‐time airborne hyperspectral imaging will benefit strategic SAR and help reduce the loss of lives in future helicopter crashes in the Bario‐Ba'Kelalan areas.

Leadership development is an essential yet complex process that manifests over a long period of time. Owusu et al. assert that in African researchers’ graduate programs, the learners receive theory, research methods and grant writing instruction without significant attention to leadership development. So, how do researchers, academics, administrators, and think-tanks plan and carry out leadership–followership development within organizational and transitional justice fields? The research capacity building of young African scholars in the knowledge production community has the potential to lead to the development and articulation of norms and values that will seek to address fundamental issues of transformation, direct, structural, and cultural violence, and assist in addressing a wide range of problems associated with violence of social injustice. We draw lessons from the Africa Young Graduate Scholars (AYGS) 2017 conference and writing retreat, which drew 22 young scholars (with 10 females and 12 males) who had completed original research and five facilitators (two females and three males) from universities in Botswana, Cameroon, Democratic Republic of Congo (DRC), Kenya, South Africa, Swaziland, and Zimbabwe for developing research leader–follower insights.

Building research leadership–followership capacity in knowledge production communities in the context of conflict prevention is crucial for establishing sustainable peace. It is recommended that: (1) the AYGS be replicated on other parts of the continent and throughout the diaspora; (2) publications from emerging leaders and followers in the research/knowledge production community begin to increase; and (3) establishment and expansion of leadership development programs for research leaders and followers in African graduate programs.

This study aims to investigate the effect of the Diamond Justice model on self-efficiency with the mediating role of job stress among the staff of Qazvin hospitals affiliated with Qazvin University of Medical Sciences. This study is a cross-sectional descriptive-analytical study conducted among the staff of Qazvin hospitals affiliated with Qazvin University of Medical Sciences in 2020.

Sampling was performed using the structural equation method. Data collection tools included three sections: demographic information, justice and self-efficiency questionnaire and job stress questionnaire. Data were finally analyzed using SPSS software version 26 and AMOS version 23 at a significance level of 0.05.

The structural equation model’s standard estimation coefficients show that all existing paths are at a significant level. Finally, the regression analysis showed that justice is inversely related to stress level (ß = −0.185, p = 0.015). Justice is directly related with self-efficiency (ß = 0.282, p < 0.001).

Justice, stress and self-efficacy have been measured in various studies among health workers. However, a fitting model showing these three variables’ interaction was necessary. Therefore, this study tries to conceptualize the multifaceted relationships of the components of these concepts by presenting a model.

In the time of the COVID-19 crisis, many physical, psychological and spiritual difficulties are imposed on the front line staff and overshadow their rights, resilience and retention. In addition, the loss of this important organizational resource imposes huge costs on the system. The purpose of this study is systemic review of the influential factors, policies and strategies applied to defend the rights of health-care staff and improve the resilience and retention of health system human resources in the COVID-19 crisis.

This systematic review was conducted in 2021. Data were collected by keyword search in Google Scholar, PubMed, Scopus, Web of Science, Science Direct, Magiran, SID and Irandoc databases until December 2021. In addition, the quality of the studies was evaluated by three experts using the Strobe checklist. The analysis used in this study to categorize the results was thematic analysis.

Factors that cause tension and injustice to employees and also strategies to overcome it and increase their resilience were classified into general categories according to their nature. Factors included factors related to safety, economic and financial, staff characteristics, crisis management characteristics, organizational climate and working conditions. Existing strategies also fall into four categories of physical, psychological and spiritual health promotion strategies; organizational climate and work environment; education and empowerment and economic and financial.

This study is a systematic review of the factors that affect the health workforce rights and resilience of health-care personnel during the COVID-19 crisis. On the other hand, the policies and strategies used in different countries to overcome the difficulties and increase the resilience and retention of health workers have been summarized and can be used in other crises.

It can be said that the most important function of the health system is to provide health-care services. This directly affects society’s health and justice. To the best of the authors’ knowledge, this study is the first study that has meta-analyzed the percentage of health services utilization among Iranians to answer this question “How much is the percentage of health-care services utilization in Iran?”

This study is a systematic review and meta-analysis conducted in 2020. The literature review was done by searching the databases of Google Scholar, Scopus, PubMed, Web of Science, Science Direct, SID, Magiran and Irandoc from January 2010 to August 2020. Pooled utilization percentage (UP) was estimated by STATA 15 through random-effects meta-analysis with 95% confidence interval. The I² statistic was used to investigate the possibility of heterogeneity of articles (I² ≥ 50% indicate heterogeneity). A forest plot was applied to report the results. A funnel plot exploited due to publication bias assessment.

Approximately 22% of the reviewed articles have been done at the national level of Iran. Most studies have examined the utilization of outpatient and inpatient services. Based on the random effects method, the pooled value of UP was obtained at 47.82%, (95% CI: 39.33–56.31). Also, the pooled percentage of utilization was statistically significant (Test of UP = 0, Z = 456.44, p = 0.000).

Policymakers can improve the level of utilization from health services by expanding universal coverage, expanding insurance coverage and removing direct and indirect barriers.

To the best of the authors’ knowledge, this is the first systematic review and meta-analysis on health services utilization in Iran that completely considers the utilization rate in all health services and states the practical solutions to cope with utilization deficiencies and barriers.