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All presidential and legislative candidates want to be the winner. However, they do not know the determinants of voters' reasons for making choices. This study aims to investigate the role of education level, political party brand reputation, religiosity brand personality and e-WOM on voters' decisions with implications for voters' loyalty.

The survey method was used to collect data from 1206 respondents who have the right to vote through offline and online using Google forms shared on social media platforms—data analysis using Structural Equation Modeling using the SmartPLS 4.0 program.

The results showed that Brand Reputation of Politics can encourage brand Religious Personality and e-WOM. Brand Religious Personality is a factor that causes the decision to vote. However, the level of education is not a determining factor for Brand Religious Personality and e-WOM. In addition, brand religious personality, e-WOM and Decision to vote can mediate Brand Reputation of Political loyalty.

The findings from this study can help political parties and candidates develop strategies tailored to voters' needs and increase their chances of winning elections.

The novelty in this study is the development of a model that has never been tested before that uses factor sources from marketing science literacy such as Brand, e-WOM and Loyalty. This study also used moderation variables namely choosing decisions, e-WOM, and religious brand personality. The object of this research was conducted in Indonesia, which is included in the list of developing countries but has never been done in any country. The analysis tool uses the new SEM-PLS version 4.0, so it has a level of novelty and implications that are important for political marketing.

To enhance the fit, comfort and overall satisfaction of lower body attire for online shoppers, this study introduces a reclassification method of the lower body profiles of young females in complex environments, which is used in the framework of remote clothing mass customization.

Frontal and lateral photographs were collected from 170 females prior, marked as size M. Employing a salient object detection algorithm suitable for complex backgrounds, precise segmentation of body profiles was achieved while refining the performance through transfer learning techniques. Subsequently, a skeletal detection algorithm was employed to delineate distinct human regions, from which 21 pivotal dimensional metrics were derived. These metrics underwent clustering procedures, thus establishing a systematic framework for categorizing the lower body shapes of young females. Building upon this foundation, a methodology for the body type combination across different body parts was proposed. This approach incorporated a frequency-based filtering mechanism to regulate the enumeration of body type combinations. The automated identification of body types was executed through a support vector machine (SVM) model, achieving an average accuracy exceeding 95% for each defined type.

Young females prior to being marked as the same lower garment size can be further subdivided based on their lower body types. Participants' torso types were classified into barrel-shaped, hip-convex and fat-accumulation types. Leg profile shapes were categorized into slender-elongated and short-stocky types. The frontal straightness of participants’ legs was classified as X-shaped, I-shaped and O-shaped types, while the leg side straightness was categorized based on the knee hyperextended degree. The number of combinations can be controlled based on the frequency of occurrence of combinations of different body types.

This methodological advancement serves as a robust cornerstone for optimizing clothing sizing and enabling remote clothing mass customization in E-commerce, providing assistance for body type database and clothing size database management as well as strategies for establishing a comprehensive remote customization supply chain and on-demand production model.

This study aims to examine the role of various Instagram contents on customer behavior. The studied case is associated with herbal teas sold on active Instagram pages.

A structured questionnaire is exploited to collect data from customers. The integration of two entropy weight methods and weighted sum method are used to evaluate the priority of contents. In addition, model development is illustrated through which Instagram broadcasting tools are prioritized benefiting from fuzzy cognitive map method.

The results illustrate that customer behavior is moderated by content types, which empirically enhances the profitability of the business. The results of this study reveal that educational live, show other ones experience at live as well as motivational lives are the most effective contents. This study is a pioneering one to practically assess the construct of social media engagement through the effects of content types on the Instagram platform.

The effects of various contents, including motivational content, other customers’ experiences, products, educational content and purchase bill, on customer behavior are studied.

A partnership model is necessary for palm oil plantations’ sustainability. The developed model does not identify the optimal technique for smallholder palm oil because it faces complex challenges. This study aims to determine a partnership model for sustainable palm oil plantation business in Indonesia.

Qualitative research methods were used, and data analysis was performed using NVivo 12 Plus software, which helps improve the accuracy of qualitative studies and provides implications for evidence-based studies. All respondents, whether through surveys, interviews or focus group discussions, understood their contributions to this research and provided consent.

The results indicate that the core–plasma partnership pattern implemented by companies needs to be considered a relevant model for partnerships in the Indonesian palm oil industry. Social networks play a role in implementing this partnership pattern, which is influenced by the diversity of the actors involved. However, complexity arises from the dynamics of power and position among these actors, which demands increased interaction and mutual trust. Therefore, various dimensions must be considered, including plantation management, product marketing, cultivation techniques and sustainable development.

The research results have limitations, particularly regarding access to information for company policymakers, because there remains complexity related to the position and dominance of power between actors, which influences the achievement of common goals. A more complex analysis is needed to produce complete research. Further studies are required to provide a more comprehensive explanation of the humanist approach in the context of palm plantations.

This study provides an important theoretical implementation: a more humane approach through a partnership model that adds value and is based on aspects of morality in implementing partnerships in the palm oil plantation sector. It also provides new and substantial insights regarding practical implementation for policymakers and practitioners who want to improve partnership practices in sustainable palm oil businesses by implementing value-added and morality-based partnership models in Indonesia as well as other developing countries.

This study aims to investigate the problems small-scale oil palm plantations in Indonesia’s forest areas face and the government policies addressing them.

Survey and data collection were used to determine the socioeconomic, environmental, legal and governance problems related to the development of smallholder plantations. Information was obtained from the respondents via a rapid rural appraisal approach.

The potential land for potential participants in the community oil palm rejuvenation programme is a forest area of 1,628,749.60 ha. Owing to its legal dimensions and unsustainable land management, the rejuvenation regulatory programme has not reached independent farmers.

The use of plantation space beyond its designation hinders the government’s goal of accelerating the rejuvenation programme. The problems regarding the accumulation of forest area result in low achievement of the annual rejuvenation target in Riau Province (21%–25%). The authors present solutions to resolve land ownership conflicts and implement strategic policies to ensure the sustainable development of such plantations.

The authors introduce a conflict–resolution model for small-scale smallholder oil palm plantations to resolve the problems of forest area claims unaddressed in the Indonesian Job Creation Law. Land conflict resolution is categorised into five typologies: oil palm plantations with business permits; those without a forestry permit and subject to administrative sanctions; business activities in forest areas without forestry permits; resolving non-conformities in the progress of land or management controlled and used in forest areas prior to their designation by removing land parcels through modifying the forest area boundaries; and the settlement for farmers without cultivation registration certificates but have established plantations and whose land tenure can be proven.

This study aims to investigate the effectiveness of the business incubator and its impact on commercialization strategies based on incubatees’ aspirations in three business incubators in Indonesia.

A qualitative approach was used, which involved conducting semi-structured in-depth interviews on 14 startup owners who are tenants in 3 incubators in Indonesia. The data obtained were analyzed using a thematic analysis assisted with NVivo 12.

Business incubator effectiveness was found to be heavily dependent on incubatees’ satisfaction in their interactions with the incubators. Moreover, some patterns were formed from thematic analysis and used to produce three propositions.

The study was conducted qualitatively using only 14 interviewees or incubatees from 3 business incubators in Indonesia. Moreover, a thematic analysis offers flexibility from basic to organizing and global themes, but, in this case, there may be a lack of deeper understanding, for example, in psychological viewpoints.

Business incubators in this study need to reevaluate their incubation process based on their incubatees’ aspirations. These have to be considered from the beginning of the process, particularly the innovation aspect. Meanwhile, policy implications were also discussed

Policymakers have realized the importance of business incubators in enhancing Indonesia’s innovation and competitiveness, and this has made them encourage the establishment of some new business incubators. It is, however, important to note that most of the existing ones are simply “rubber stamp” and to improve their operations and performances, some recommendations were made.

Despite the potential importance of incubation in enhancing technopreneurship and increasing a nation’s competitiveness, little research has been conducted on incubators in Indonesia’s ability to fulfill such high expectations. This specifically means there is no information on the present and past perceptions of tenants or startups on the incubators’ performances.