This paper makes an assessment on the impact of co-creation strategy as part of digital transformation in Industry 4.0 on supply chain management. We argue that the concept of strategy has shifted from the competitive strategy into co-creation strategy based on collaboration value. In developing co-creation strategy, the input is derived from external factors associated with customer experience and internal factors related to distinctive capabilities and both focus on core competence development in supply chain management. We use telecommunication firms as our unit analysis with sample of 35 Indonesian Information and Communications Technologies (ICT) firms analysed using Partial Least Square (PLS). The findings show that the developing of co-creation strategy was supported by distinctive capabilities and customer experience. The findings also indicate that co-creation strategy emerges as a key in sustaining business of the firms to focus on developing customer experience and providing distinctive capabilities.

Zakat is the most powerful Islamic instrument to support impoverished people around the world. Zakat helps to reduce poverty by increasing the empowerment level of mustahiq economics. However, ways in which the Zakat supply chain can be promoted need to be investigated. The objective of this study, the first of its kind, is to examine the role of Zakat hashtags in promoting the Zakat supply chain and mustahiq economics. Additionally, this study examines the role of Zakat awareness and marketing politics. To achieve the objective of this study, primary data were collected from various employees of Zakat collection institutions in Indonesia. The data were analysed using partial least square structural equation modelling (PLS-SEM). The study found that Zakat hashtags play a major role in increasing Zakat awareness. It also plays an important role in increasing marketing politics. Zakat awareness and marketing politics increase the Zakat supply chain, a mechanism that ultimately increases the empowerment level of mustahiq economics.

This research aims to investigate the relationships between Big Data and Internet of Things (IoT) adoption and employee behavior in the chemical manufacturing industry, specifically focusing on the mediating role of organizational innovation. The research methodology employs a quantitative approach that involves employee surveys, statistical analysis, and mediation testing. The primary findings reveal that Big Data adoption significantly enhances Organizational Innovation, contributing positively to Organizational Citizenship Behavior (OCB) among employees. Conversely, IoT adoption has a significant positive impact on Organizational Innovation but does not directly influence OCB. The relationship between IoT adoption and OCB is mediated by Organizational Innovation, highlighting the pivotal role of innovation as an intermediary in influencing employee behavior. The practical implications of this research suggest that organizations in the chemical manufacturing industry should strategically integrate Big Data and IoT technologies to foster innovation and elevate OCB. Leadership support and employee training are crucial. Study limitations include industry specificity, self-reported data, and static analysis. Future research should diversify samples and use longitudinal methods. Recommendations: embrace tech with innovation focus, train leaders, and deepen understanding of tech, innovation, and behavior.

Significant changes have occurred in the business world, with one of the most notable being the transformation of technology into digitalization. An example of this digitalization in the logistics sector is the implementation of electronic delivery orders (E-DO), aimed at enhancing convenience and efficiency in logistics activities. The objective of this research was to analyze the extent of influence that electronic delivery orders, logistics digitalization, and logistics service quality exerted on import document activities at Semarang port. Additionally, this study aimed to examine the role of logistics service quality as a mediating variable in the relationship between E-DO and logistics digitalization concerning import document activities. The research employed quantitative research methods, with a sample of 173 individuals selected through random sampling techniques, primarily comprising employees working in the logistics operations division and the export and import documentation division of shipping companies located in Semarang port. Data were collected through a questionnaire utilizing a Likert scale ranging from 1 to 7. Subsequently, the data were analyzed using SmartPLS 4 software to determine the relationships between variables. The findings of this research revealed that Electronic Delivery Orders (E-DO) had a significant influence on the quality of logistics services, although E-DO did not significantly impact import document activities. Furthermore, logistics digitalization was found to significantly enhance the quality of logistics services but did not exert a noteworthy influence on import document activities. The quality of logistics services was identified as having a significant effect on import document activities. Additionally, logistics service quality was recognized as a mediating factor in the relationship between electronic delivery orders and logistics digitalization concerning import document activities, with a substantial influence.

With the digitization of historical databases and endowments, care must be taken when designing the framework for an information system on the web. Because conflicts arise frequently in reality, different data management requirements are necessary for the preservation of waqf property. For the purpose of creating and putting into place historical information systems and endowments for this inheritance, it is necessary to develop an acceptable management plan. An inheritance that is thought to be distinct from customary ones since it is governed by its own law is referred to as waqf, as an example. They typically comprise histories and endowments that need to be protected to ensure sustenance among the population and to ensure they live up to the standards of the community and country. This research was compiled and analyzed to support stakeholders in producing a more practical, focused, and value-delivery framework. The datasets were mapped based on relationships, graph databases, and semantic networks. Moreover, the framework was developed using several data representation models to ensure easier, faster, and more accurate methods of displaying the data. Relationships, graph databases, and semantic networks were used to map the datasets. The design was made available to users, administrators, and managers, with the latter group being in charge of maintaining data control over each entity. The case study was conducted using historical information and waqf from the Nadzir Pangeran Sumedang Indonesia Waqf Foundation (YNWPS) in the Kingdom of Sumedang Larang Indonesia (KSL).` The creation of a web-based information system to keep track of the data in each entity and ensure better preservation of historical genealogical databases and endowments was made simpler by the structured framework design.

Research on digital literacy, knowledge management and process innovation variables has not been widely carried out in Indonesia, therefore more studies need to be carried out immediately since small and medium enterprises (SMEs) play an important role in economic activities. The purpose of this research is to investigate the effect of digital literacy on knowledge management, digital literacy on process innovation and financial management on process innovation. The research method is quantitative using partial least square structural equation modeling (SEM) analysis with data analysis tools using SmartPLS 3.0 software. The study involved 489 respondents who owned SMEs and it was determined using simple random sampling. The type of variable scale used is the ordinal scale. The rating scale for each statement uses a rating scale technique with a Likert scale type. Online questionnaires are distributed through online media, the data analysis stage is the outer model test, namely the validity and reliability test and the inner model test, namely the hypothesis test or significance test. The independent variable of this research is digital literacy, the mediating variable is knowledge management, and the dependent variable is process innovation variable. Based on the results of research data analysis it was found that digital literacy had a positive and significant relationship on knowledge management, digital literacy had a positive and significant relationship on process innovation, knowledge management had a positive and significant relationship on process innovation. Knowledge management played as full mediators in the relationship between digital leisure variables and process innovation.

This research investigates the interplay between public administration, educational socialization on social media, population literacy awareness, and public satisfaction in the context of population services. The primary objective is understanding how these variables are interconnected and their collective impact on public satisfaction. The study employs a quantitative approach, collecting data through structured questionnaires from a randomly selected sample. Data analysis involves various statistical techniques using Smart PLS, including regression and mediation analysis. The findings reveal that public administration significantly influences population literacy awareness, underscoring the role of government agencies in shaping citizen understanding of demographic policies. While it was anticipated that population literacy awareness would mediate the relationship between public administration and educational socialization on social media for public satisfaction, this mediating effect needed to be supported. However, social media use was found to influence population literacy awareness, indirectly affecting public satisfaction directly. It highlights the potential of digital platforms to enhance citizen understanding and engagement. The implications are substantial. Governments should recognize the importance of effective communication and digital engagement in fostering an informed and satisfied citizenry. Additionally, tailored communication and education initiatives are crucial for promoting public understanding and engagement, ultimately contributing to higher levels of public satisfaction. The research's novelty lies in its exploration of the complex dynamics among these variables and its focus on the role of digital platforms in enhancing population literacy awareness. However, some limitations include the potential for context-specific findings and the need for further research in diverse settings.

Social media has proven to be quite effective in raising awareness and anti-corruption movements in society. This research aimed to analyze the use of social media Twitter as a means of the Corruption Eradication Commission (KPK) in conducting anti-corruption campaigns in Indonesia. The research employed a qualitative content analysis on the KPK's official Twitter account. The data were processed using the NVIVO 12 Plus software to answer research questions. This research revealed that the KPK's Twitter account is quite active in carrying out anti-corruption campaign activities, although in general it is not optimal. It can be seen from the low intensity of communication and limited communication network so that it is considered as less collaborative. Improving the problems is needed by KPK as it must also show good performance so that public trust continues in high condition. However, this research has limitations in looking at all anti-corruption campaigns carried out by the KPK because it only used Twitter as the reference. Therefore, further research is suggested to analyze all KPK social media such as Youtube and Instagram.

Unequal development is a major factor in measuring Indonesia's poverty problem, resulting in areas that are left behind. It is a primary concern of the government and stakeholders since it is unresolved and will lead to more problems in the community. Therefore, the government and stakeholders conduct various village developments to prosper the community. One is Batik village in Kemang, Bogor Regency, Indonesia. The Pakuan University of Bogor initiated the village development program. The collaboration forms a communication network and communication patterns to facilitate the delivery of messages. This study aims to identify and analyze the communication network pattern of stakeholders in the development of Kampung Batik in Kemang, Bogor Regency, Indonesia. This study is designed using a qualitative approach through interviews with relevant stakeholders. The communication network was analyzed using Sociometric Analysis through UCINET VI. The result indicates that the relationship between actors in the development of Kampung Batik is 75.5 percent and categorized as quite strong. Also, the communication pattern formed is an all-channel pattern with five actors who act as the star, bridge, opinion leader, liaison, cosmopolite, and isolate. This model supports the smart economy's potential to develop a smart village.

Digitization technology has developed in the preservation of cultural heritage, especially ancient manuscripts. In this context, image retrieval methods allow for efficient access to the information contained in ancient manuscripts. Optimization techniques play a role in building an effective image retrieval method. This paper presents a systematic literature review that focuses on the role of optimization in digital image retrieval methods for preserving ancient manuscripts as part of cultural heritage preservation. This paper is organized based on the following research questions: (1) What are the research objectives regarding optimization in digital image retrieval of ancient manuscripts?; (2) What is the role of optimization in image retrieval methods for the preservation of ancient manuscripts?; and (3) How have existing studies determined the formulation of novel and new research? This study involved searching articles through Scopus, Dimensions, Science Direct, and Google Scholar databases and using bibliometric analysis to visualize research themes and trends. The results of the literature review show that research related to the role of optimization in the digital image retrieval method of ancient manuscripts is still open and this paper can be used as a reference for further research on this topic.