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Based on a multidimensional perspective of workplace spirituality, the authors examined a moderated mediation model, wherein workplace spirituality leads to life satisfaction through organizational commitment moderated by employees' religious affiliation.

Data were collected from South Korean employees, and hypotheses were tested using hierarchical regression analysis.

Three subdimensions of workplace spirituality – meaning at work, membership and inner life – were positively related to organizational commitment. In addition, organizational commitment mediated the relationships between the subdimensions and life satisfaction. Employees' religious affiliation moderated the relationship between the inner life and organizational commitment, which, in turn, also mediated the interactive effect on life satisfaction.

Based on the awareness of the importance of workplace spirituality, organizations need to endeavor to help employees find meaningfulness in their work, experience a climate of mutual understanding and feel a sense of trust and respect within organizations by providing opportunities or resources to fulfill their needs to spiritual self. In addition, organizations need to consider implementing policies to support employees to pursue their inner spirit not only within the workplace but also in the areas of personal life.

This study verifies the internal mechanisms behind the workplace spirituality – life satisfaction relationship and underlines how religious affiliation interacts with workplace spirituality to influence organizational commitment and life satisfaction.

This study aims to examine the relationships between three dimensions – vision, hope/faith and altruistic love – of spiritual leadership and employees' creativity and to verify the mediating role of affective commitment in such relationships.

Data were collected from 462 South Korean employees in diverse industries through self-reported questionnaires, and hypotheses were tested using hierarchical multiple regression analysis.

The authors found that vision, hope/faith and altruistic love were positively related to employees' creativity, while their affective commitment mediated such relationships. The authors also verified that the multidimensional structure of spiritual leadership was valid in the context of South Korea.

The findings suggest that leaders need to understand the importance of vision, hope/faith and altruistic love toward employees in formulating employees' affective commitment and stimulating creativity. Thus, organizations need to establish and operate leadership training programs for promoting leaders' behaviors that are based on spirituality.

This study contributes to broadening the variety of spiritual leadership's outcomes by providing an initial evidence of how spiritual leadership is associated with employees' creativity. Extending the verification of multidimensional structure of spiritual leadership so that it can be applied in South Korea has also been considered.

This study explores food delivery app users and technology acceptance model as a theoretical underpinning. This study thus investigated the determinants of usefulness, ease of use and intention to use for food delivery app service.

The variables of delivery time, diverse menu, quarantine, review quality and ease of use are employed as determinants of usefulness. The antecedents of ease of use are easy registration and easy payment. This study also examined the association between ease of use, usefulness and intention to use. This study collected data using Amazon Mechanical Turk, and the number of valid observations for statistical analysis was 484. A structural equation model was used to test the hypotheses.

Regarding the results, usefulness was positively affected by delivery time, quarantine, review quality and ease of use. Additionally, ease of use was positively impacted by easy registration and easy payment. Finally, this study showed that ease of use positively affects both usefulness and intention to use, and usefulness is positively associated with intention to use.

This study contributes to the literature by ensuring the explanatory power of technology acceptance model for food delivery app.

The urgency to address climate change and its devastating consequences has never been more pressing. As societies become increasingly aware of the detrimental impact of traditional housing on the planet, there is a growing demand for eco-friendly housing solutions that prioritize energy efficiency, resource conservation and reduced carbon emissions. Therefore, this study aims to investigate the factors that influence customers’ priority toward eco-friendly house purchasing intention.

This study collected 386 data using a quantitative research strategy and purposive sampling method. This study uses a hybrid analysis technique using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) approaches to identify the influencing factors.

The PLS-SEM analysis found that attitude toward the eco-friendly house, subjective norms, performance expectancy, environmental knowledge and environmental sensitivity have a positive influence on eco-friendly house purchasing intention. However, perceived behavioral control and willingness to pay were found to have insignificant effect on customers’ intention to purchase eco-friendly houses. The fsQCA results further revealed complex causal relationships between the influencing factors.

This research will not only contribute to academic knowledge but also provide practical guidance to real estate developers, policymakers and individuals looking to make environmentally responsible choices. By understanding the factors that influence consumers’ intentions to purchase eco-friendly houses, we can pave the way for a more sustainable and resilient future.

This study has used a hybrid analysis technique, combining PLS-SEM and fsQCA, to enhance the predictive accuracy of eco-friendly house purchase intentions among individuals residing in densely populated and highly polluted developing countries, such as Bangladesh.

The purpose of this study is to analyze the influence of coffee quality on brand preference and loyalty using Starbucks as a study subject. The determinants of coffee food healthiness are also investigated.

Food quality measures are composed of healthiness, taste, customization, price fairness and convenience. Hygiene and nutrition disclosure were examined as determinants of food healthiness. The highlighted food quality attributes were brand love and brand loyalty. Data were collected using Amazon Mechanical Turk. A total of 431 observations were used for data analysis. A structural equation model was conducted for hypotheses testing.

The results revealed that healthiness is positively associated with hygiene and nutrition disclosure. Brand love is also significantly influenced by healthiness, taste, customization and price fairness. Moreover, taste and price fairness appeared to be essential determinants of Starbucks brand loyalty.

This study scrutinized food quality in the domain of coffee business, and presented implications for the business. Data collected in this study contributed to the literature by revealing quality attributes of coffee and its determinants and also showing the significant relationship between coffee food quality, brand love and brand loyalty.

In view of the absence of police stress research in Greece, the purpose of this paper is to measure occupational stress among police officers and to investigate occupational stress risk factors.

A cross-sectional study with a convenience sample was conducted among 336 police officers in Athens, Greece. Data collection was performed during January to March 2018 and the response rate was 77.8 percent. Demographic characteristics, job characteristics, lifestyle factors and coping strategies were considered possible risk factors. The “Operational Police Stress Questionnaire” and the “Organizational Police Stress Questionnaire” were used to measure occupational stress, while the “Brief Cope” questionnaire was used to measure coping strategies.

Regarding service operation, the most stressor events were personal relationships outside work, tiredness, bureaucracy, injury risk and lack of leisure for family and friends. Regarding service organization, the most stressor events were lack of personnel, inappropriate equipment, lack of meritocracy, lack of sources and inappropriate distribution of responsibilities in work. According to multivariate analysis, increased use of avoidance-focused coping strategy, and decreased sleeping, physical exercise and family/friends support were associated with increased occupational stress. Moreover, police officers who work out of office experienced more occupational stress than police officers who work in office.

To the best of the authors’ knowledge, this is the first study in Greece addressing the risk factors for occupational stress among police officers. Modifiable occupational stress risk factors among police officers were found and should be carefully managed to decrease stress and improve mental health.

The purpose of this paper is to examine the characteristics of e‐shopping malls by using Kano's two‐dimensional quality model; also to determine the salient quality attributes, including those attributes that increase customer satisfaction and technological characteristics that are essential for the use of e‐shopping malls, to provide important strategic implications.

In this regard, the paper is divided into Study 1 and Study 2. Study 1 uses Kano's two‐dimensional quality model to determine the characteristics of e‐shopping malls, whereas Study 2 analyzes the relationship among e‐shopping malls' characteristics, customer satisfaction, flow experience, and trust.

According to the results of Study 1, communication quality and marketing activity reflected one‐dimensional quality attributes. In addition, brand recognition was an attractive quality attribute, whereas interface quality, system security, and information quality were must‐be quality attributes. According to the results of Study 2, communication‐related attributes of e‐shopping malls did not have significant effects on customer satisfaction, whereas other attributes such as brand recognition, marketing activity, interface quality, system security, and information quality directly influenced customer satisfaction.

The results also have important implications for researchers. First, the quality dimensions of e‐shopping malls can be identified through an empirical analysis based on Kano's model. This indicates that the quality attributes of e‐shopping malls can be better examined by using a two‐dimensional quality model than by using a one‐dimensional quality model. Second, the authors not only extracted the quality dimensions based on Kano's model but also examined customer satisfaction, flow experience and trust to verify their relationships, providing a better understanding of the effective quality management of e‐shopping malls.

Previous studies considering various types of e‐shopping malls have focused on the design and functions of e‐shopping mall web sites; the elements that vitalize e‐commerce and the key factors influencing the success of e‐commerce; and the factors influencing customer satisfaction and purchase intentions. Most of the literature on e‐shopping malls have typically approached this topic by using a one‐dimensional method relying on whether the physical/technological attributes of e‐shopping malls are fulfilled. This paper expands the horizon by incorporating a systematic approach to web service qualities using Kano model, which is a multi‐dimensional model.

Conventionally, consumers perceive luxury products as a means of displaying their wealth and prosperity. Consumption of luxury products has usually been considered the prerogative of the Western world. Although there are a number of studies capturing the pre-purchase and purchase behaviour of consumers, there is a dearth of quality studies that have been conducted in this field to understand the post-purchase behaviour of consumers towards luxury brands, especially in the context of young shoppers in an emerging market context. Studying the post-purchase behaviour of shoppers is important to understand their experience with the brand. A negative experience could lead to a post-purchase dissonance, which in turn could lead to an unbalanced or distorted attitude towards the brand and other marketing stimuli. Keeping this in consideration, the purpose of this study is to explore the experiences and attitudes of young shoppers in India towards luxury consumption.

The study captured responses from young shoppers of Chandigarh and its satellite cities located in the relatively prosperous northwest region of India. The data were collected from 200 participants through a structured questionnaire that was based on an adapted “Attitude towards the concept of luxury” scale by Dubois and Laurent (1994) and “Brand Experience” Scale by Brakus et al. (2009). The structural equation modeling technique was applied to test the proposed model.

The empirical results indicate that sensory, intellectual, behavioural and affective experience play a significant role in building the attitude of consumers towards luxury brands.

The study selected university students from Chandigarh (India) Tricity region as target respondents, which may limit the generalisability of the results to other target respondents in different regions of India or other countries.

The study is useful for researchers, academicians, marketers and retailers of luxury brands, as it gives fresh insights into understanding the consumer behaviour of a young segment towards the consumption of luxury brands in the post-purchase scenario, especially in the context of an emerging market.

The uniqueness of the study lies in the fact that it examines the post-purchase behaviour of a segment consisting of young, educated and aspirational individuals in one of the world’s fastest-growing major economies.

Although there is a growing body of literature on how celebrity involvement impacts the effectiveness of destination marketing, the underlying mechanisms of that relationship are still underexplored. Based on the affect transfer and meaning transfer theories, this study aims to examine the impact of celebrity attachment on customer delight toward K-culture and K-culture attachment, affective and cognitive images of Korea, and the intention to visit Korea.

Online survey data were collected from 2,614 US residents, representing various demographic characteristics. For the data analysis, the partial least squares-structural equation modeling was conducted to evaluate the structural model and test the hypotheses.

The results showed that celebrity attachment is positively related to customer delight toward K-culture and K-culture attachment, which, in turn, positively influences affective and cognitive images of Korea. Additionally, K-culture attachment positively influences cognitive and affective images of Korea, which are positively related to the intention to visit Korea.

By using the affect transfer theory and meaning transfer theory, this study provides valuable insights into how consumer’s attachment to celebrities has spillover effects on the decision-making process. This study also adds a new concept, customer delight connected to cultural experience, in the context of destination marketing.

By understanding the importance and influence of people’s intimacy with media characters, practitioners can apply parasocial relationship theory, affect transfer theory and meaning transfer theory to their marketing strategies.

As one of the few empirical studies that examines the impact of celebrity attachment on consumers’ perceptions and behaviors, this study can make significant contributions to the destination marketing literature.

This paper aims to focus on lane detection of unmanned mobile robots. For the mobile robot, it is undesirable to spend lots of time detecting the lane. So quickly detecting the lane in a complex environment such as poor illumination and shadows becomes a challenge.

A new learning framework based on an integration of extreme learning machine (ELM) and an inception structure named multiscale ELM is proposed, making full use of the advantages that ELM has faster convergence and convolutional neural network could extract local features in different scales. The proposed architecture is divided into two main components: self-taught feature extraction by ELM with the convolution layer and bottom-up information classification based on the feature constraint. To overcome the disadvantages of poor performance under complex conditions such as shadows and illumination, this paper mainly solves four problems: local features learning: replaced the fully connected layer, the convolutional layer is used to extract local features; feature extraction in different scales: the integration of ELM and inception structure improves the parameters learning speed, but it also achieves spatial interactivity in different scales; and the validity of the training database: a method how to find a training data set is proposed.

Experimental results on various data sets reveal that the proposed algorithm effectively improves performance under complex conditions. In the actual environment, experimental results tested by the robot platform named BIT-NAZA show that the proposed algorithm achieves better performance and reliability.

This research can provide a theoretical and engineering basis for lane detection on unmanned robots.