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The purpose of the study is to confirm the influence of each dimension of visitor's sense of place (place identity, place attachment and place dependence) on each dimension of conservation behavioral intention (general behavioral intention and specific behavioral intention) in the context of urban heritage.

This study uses a quantitative methods. Research respondent is individual visitor who meet the research criteria. The strength influence of sense of place dimension (independent variable) on dimension of conservation behavioral intention (dependent variable) was measured by Somers' D correlation. Primary data were analyzed using descriptive statistical techniques.

All correlation coefficient values were below +0.59. It shows that the sense of place dimensions have a weak influence on each dimension of conservation behavioral intention. Weak correlation occurs because of the setting profile (tourism approaches which tends to be material-based) and the type of visitor (casual cultural tourism and sightseeing tourist) which interprets heritage only as an object of relaxation.

Due to the statistical approach used (nonparametric statistical techniques), the results of the study cannot be generalized. Therefore, further studies with different approaches are needed.

This study demonstrates the need for tourism policy in Semarang Old Town (SOT) as a form of value-driven heritage conservation practice to encourage visitors to appreciate the cultural significance of the area.

In the context of urban heritage area, the literature on research topics is still limited. However, the results of this study were different from previous studies. The weak relationship is explained through an approach that considers contextual factors, namely profile settings and visitor profiles.

This research attempted to establish the underlying dimensions of supply chain management practices, blockchain technology and supply chain performance in the Indian dairy industry. Additionally, the study proposes a conceptual model that shows the mediating effects of blockchain technology in the relationship between supply chain management practices and supply chain performance.

Structural equation modelling (SEM) is incorporated to examine the proposed model using SPSS and AMOS version 24. The study population includes 119 registered Indian dairy processing units operating in Uttar Pradesh and New Delhi (source: Dairy – India). Individual registered dairy processing unit's top four executives, that is Head of the Dairy Processing Plant, Supply Chain head and Marketing Head, and IT head are chosen as the respondents of the study, which renders the sample size of 476. Judgmental sampling based on the organisation's market position and plant production capacity (i.e. one lakh litre per day) has been set as the benchmark for selecting the dairy processing units. The executives are selected as respondents as they are well-versed in the phenomenon of supply chain management practices, blockchain technology and supply chain performance compared to other staff working in the dairy industry. The data was collected from December 2021 to March 2022 through judgmental sampling. The target sample size was 476, but only 286 questionnaires were received in a completed state and were further used for analysis.

Manufacturing practices, information sharing, distribution management, inventory management and blockchain technology have a significant and positive impact on supply chain performance in the Indian dairy industry. Furthermore, the research demonstrates that blockchain technology partially mediates the relationship between supply chain management practices and supply chain performance in the context of the Indian dairy industry.

This research is focused on the Indian dairy industry operating in only two states, namely New Delhi and Uttar Pradesh. More research is needed to determine whether SCM practices and the prospects for blockchain technology among channel members are universally applicable to merchants in non-dairy products. Similar investigations should be carried out on dairy industry operating in various formats and in numerous geographic locations. Further, case studies can be conducted by future researchers to learn how supply chain management methods are deployed, what precisely these practices entail and what costs and time demands are required by these practices in context of small independent retailers across different germane expanse.

While the available literature on the research area is spread out, the influence of blockchain technology in the Indian dairy industry has not yet been sufficiently analysed. Therefore, the research article focused on exploring underlying dimensions of the constructs of supply chain management practices, blockchain technology adoption and supply chain performance in the context of the Indian dairy industry.

The tourism industry has a huge potential, and the return to its state prior to the COVID-19 pandemic is a large stake for any economy. Tourism e-WOM is an important contributor towards attracting visitors and choosing tourism destinations. Drawing from the value and personality theories, the aim of this study is to investigate the factors determining e-WOM intentions in tourism.

Based on a sample of 469 responses collected online from a random sample of Romanians and using partial least squares structural equation modelling, the authors hereby analyze the influence of economic, emotional, social and altruistic values on e-WOM intentions, and the moderating effects of the big five personality traits (openness, conscientiousness, extraversion, agreeableness and neuroticism) on this relationship.

The results of the study revealed that except economic value, all the exogenous (emotional, social and altruistic) values have a positive influence on the e-WOM intentions. However, the study further suggested that the big five personality traits do not moderate the relationship between the value factors and e-WOM intentions.

The influence of perceived value will be useful for building a stout marketing strategy and to describe e-WOM behaviour among Romanians.

Tourism service providers can promote their services by stressing the various types of value bestowed by their offers.

Although inspired by existing research, the current study is original in that the model used has not yet been proposed before, all the more so for the particular case of the tourism industry.

This study examines factors that affect customer lifetime value (CLV) in fast-food restaurants (FFRs) in Jordan. These factors are relational benefits, brand experiences, service quality (SQ), satisfaction, trust and commitment.

An online survey was collected from a sample of 503 respondents. The authors used SPSS to test the constructs' relationships and analyse the data. SmartPLS was used to test the hypotheses.

In contrast to previous studies, not all dimensions of brand experiences and relational benefits had a significant and positive influence on relationship marketing outcomes (satisfaction, trust and commitment). On the other hand, results demonstrated that SQ had a significant and positive influence on relationship marketing outcomes. Furthermore, research reveals that satisfaction, trust and commitment significantly and positively influenced CLV.

Those FFRs that seek to enhance CLV should build solid and sustainable bonds with their customers. This paper concludes by stating its implications, its limitations and the opportunities available for future research.

This study, which is unique in the Middle East, includes essential strategies for managing customer relationship that can be universally applied to improve customer benefits and maximise the performance of businesses.