Networks in the Implementation of Illegal Gold Mining Countermeasure Policy in Kuantan Singingi Regency

This study aims to determine the implementation of the Illegal Gold Mining (IGM) Countermeasure policy in the Kuantan Singingi Regency. This study uses a multi-sectoral multi-organizational network model consisting of a Contextual Assessment approach to understanding the environmental context and identifying stakeholders in policy implementation and joint visioning. This study critically examines the IGM in the regency in qualitative perspective from various related articles. A systematic literature review was used to analyze national and international journal articles from nine managed databases based on these concerns. From the literature review, 22 relevant research-based articles in the last 15 years from 2007 to 2020 were selected from Google Scholar, Taylor, Francis Outline, Springer Link, Emerald Insight, Science Direct, Sage Journal Online, and Oxford Cambridge. Three stages were carried out: preparation, screening and validation, and content review. The findings include 1) research showing that stakeholders involved from both government and community groups do not play an active and synergistic role in controlling IGM. 2) the implementation model of the IGM countermeasure, the government, the private sector, and the community must support each other in controlling and supervising IGM.

The effect of social capital on organizational repertoires of American Protestant missions

A religious organization’s choice of activities is shaped not only by theological goals but also the capital available to it. Prior research has shown how economic and religious capital influence Protestant missionary organizations’ repertoires of activism but has largely ignored the role of social capital. Using the most recent data on transnational American Protestant mission agencies, this study aims to fill this gap. Using a Bourdieuian field approach and multiple correspondence analysis, the study finds that linking and bonding social capital both shape whether an agency generalizes rather than specializes in specific ministry activities. Both bonding and bridging social capital, in turn, prompt a more other-worldly than this-worldly ministry orientation, but this is a pattern most characteristic of Evangelical agencies, suggesting an intersection between religious identity and organizational network size. The study concludes by discussing the implications of these findings for interorganizational collaboration and resource use.

Evaluation of critical success factor through HOT-FIT method for the implementation of e-KOlab (electronic consignation, franchise, organizational network) as a strategy to scale-up SMEs

The purpose of this study is to evaluate the Critical Success Factors for the implementation of e-KOlab using the HOT-Fit approach so that indicators can be obtained that have a significant effect on the net benefits of the application for SMEs in Bali under the guidance of IWAPI Bali. The research sample is MSME actors under the guidance of IWAPI Bali who uses the e-Kolab application. MSMEs are spread across 9 regencies/cities, namely: Buleleng, Klungkung, Tabanan, Karangasem, Denpasar, Bangli, Badung, Jembrana, and Gianyar. Therefore, the sampling used the Saturated Sampling method so that there were 145 people who had indeed participated in the e-Kolab application testing and its utilization. The data analysis technique used in this study is SEM with the Variance or Component-Based (VB-SEM) approach with the PLS technique. The results of the Critical Success Factor evaluation through the HOT-FIT Method on the Implementation of e-KOlab as a strategy for SMEs to Scale Up indicate that there is a need for improvement in System quality, system use, the role of the Office, and the role of the Service. That is, 4 of the 13 hypotheses in this study were rejected.

Implementation of inter-organizational network in controlling forest and land fires in Rokan Hilir Regency, Riau Province

This study aims to examine and analyze the implementation of inter-organizational networks in controlling forest and land fires in Rokan Hilir Regency. This research was carried out in Riau Province, especially in Rokan Hilir Regency, using a qualitative method. The results showed that forest and land fires that occurred in Rokan Hilir Regency were more common in company plantations and the rest from community plantations. The implementation of the inter-organizational network in controlling forest and land fires in Rokan Hilir Regency is in the form of standard and objectives, resources policy, inter-organizational communication, disposition (characteristic of the implementing agencies). The recommendation from this research is to control forest and land fires in Rokan Hilir Regency.

FRANCHISING AS BOTH A NETWORK PHENOMENON AND AN INSTRUMENT FOR THE DISSEMINATION OF KNOWLEDGE AND KNOW-HOW

This article aims to present the specifics of franchise networks, which are playing an increasingly important role in the Polish economy. We shall also look to characterize such networks as an instrument for the transfer and dissemination of knowledge and know-how among the participants of a given distribution system or client base. We shall also draw attention to the fact that although franchising is a network phenomenon, it also exhibits specific characteristics that distinguish it from the classical organizational network model. This applies in particular to the management of the transfer of the body of knowledge possessed by the network organizer under this type of system. Such knowledge management serves both to provide participants with an idea for their own business, and to possibly modify the ways of conducting or running it. This article shall endeavor to indicate that the growing popularity of franchising is determining the specific features of this form of economic cooperation among entrepreneurs.

PROUD-MAL: static analysis-based progressive framework for deep unsupervised malware classification of windows portable executable

Enterprises are striving to remain protected against malware-based cyber-attacks on their infrastructure, facilities, networks and systems. Static analysis is an effective approach to detect the malware, i.e., malicious Portable Executable (PE). It performs an in-depth analysis of PE files without executing, which is highly useful to minimize the risk of malicious PE contaminating the system. Yet, instant detection using static analysis has become very difficult due to the exponential rise in volume and variety of malware. The compelling need of early stage detection of malware-based attacks significantly motivates research inclination towards automated malware detection. The recent machine learning aided malware detection approaches using static analysis are mostly supervised. Supervised malware detection using static analysis requires manual labelling and human feedback; therefore, it is less effective in rapidly evolutionary and dynamic threat space. To this end, we propose a progressive deep unsupervised framework with feature attention block for static analysis-based malware detection (PROUD-MAL). The framework is based on cascading blocks of unsupervised clustering and features attention-based deep neural network. The proposed deep neural network embedded with feature attention block is trained on the pseudo labels. To evaluate the proposed unsupervised framework, we collected a real-time malware dataset by deploying low and high interaction honeypots on an enterprise organizational network. Moreover, endpoint security solution is also deployed on an enterprise organizational network to collect malware samples. After post processing and cleaning, the novel dataset consists of 15,457 PE samples comprising 8775 malicious and 6681 benign ones. The proposed PROUD-MAL framework achieved an accuracy of more than 98.09% with better quantitative performance in standard evaluation parameters on collected dataset and outperformed other conventional machine learning algorithms. The implementation and dataset are available at https://bit.ly/35Sne3a.

Voice as a Signal of Human and Social Capital in Team Assembly Decisions

Team membership in today’s open talent economy is more fluid and interchangeable than ever before. In light of these dynamics, we consider how team members’ signaling of human and social capital, in the form of challenging or supportive voice, informs our understanding of how individuals across an organizational network self-assemble into temporary work teams. We test our hypotheses in two separate multiwave studies and find support for our hypotheses above and beyond the effects of homophily. In Study 1, we find support for a human capital pathway in which challenging voice in a team fosters perceptions of quality work that enhance one’s personal reputation in the broader network. Personal reputation, in turn, predicts team assembly decisions. In Study 2, we consider a social capital pathway alongside the human capital pathway. We find that supportive voice in a team fosters friendship that enhances the extent to which one is trusted in the broader network, and trust subsequently influences team assembly decisions. Potential team members appear to prioritize the social capital signaled by supportive voice more so than the human capital signaled by challenging voice, although those who possess both human and social capital are also highly sought during team formation. We discuss the implications of these findings for the literatures on voice and team assembly.