Partner Selection Research Articles

Partnership in corporate social responsibility program: Indonesia case study

This current study is a qualitative single case study focusing on the implementation program of the CSR partnership between PT Prudential Life Assurance (PLA) and Institut Kemandirian Dompet Dhuafa Republika (IKDDR) from 2012–2016. Based on purposive sampling, the main respondents in this research are representatives from three institutions: the government, corporations, and Third Sector Organizations (Organisasi et al./OST), as well as beneficiaries from the society. The study finds six conclusions: (1) the partnership of these two institutions is affected by a lack of resources, efficiency pressure, and other innovative program opportunities; (2) partner selection relies on the alignment of the vision, mission, and values of the organization, reputation, experience, and competency of a potential partner; and (3) the main considerations in program formulation are innovation and cost efficiency; (4) the most important aspects in program monitoring and evaluation are performance and punctuality; (5) program impact analysis is obtained from field observation and interview with related institution and (6) decision of the program continuation is on the authority of funder organization.

Research on Partner Selection of PPP Project in Wastewater Treatment Based on Grey Nearness Incidence

The PPP financing model of wastewater treatment project can help local governments to solve the problem of capital shortage and bring advanced management experience. It is the key factor of the PPP project for appropriate social partners selection. The evaluation index system of partner selection was established. It covered four fields: corporate reputation, financial ability, operational ability and management ability. Some experts apply the Delphi method to score the qualitative indicators. The most appropriate partner was decided according to the comprehensive evaluate results of Grey nearness incidence. The results of the example application show that the decision model and the index system can easily and effectively determine the ordering of partners, and help government departments to make better decisions.

CLUSTERING OF SCIENTISTS' PUBLICATIONS, CONSIDERING FINDING SIMILARITIES IN ABSTRACTS AND TEXTS OF PUBLICATIONS BASED ON N-GRAM ANALYSIS AND IDENTIFYING POTENTIAL PROJECT GROUPS

The article describes the solution to the problem of clustering scientists' publications, taking into account the finding of similarities in the annotations and texts of these publications based on n-grams of analysis and cross-references, as well as the tasks of identifying potential project groups for the implementation of research and educational projects based on the results of clustering. The selection of scientific partners in the world practice is done without a comprehensive assessment of their activities. Most of the well-known indexes for evaluating the research activities of scientists need to consider information about citations fully. The methods developed in the study for evaluating the scientific activities of scientists and universities, as well as methods for selecting scientific partners for the implementation of educational and scientific projects on a scientific basis, allow us to organize the influential work of universities qualitatively. In the article, a probabilistic thematic model is constructed that allows the clustering of scientists' publications in scientific fields, considering the citation network, which is an important step in solving the problem of identifying subject scientific spaces. As a result of constructing the model, the problem of increasing instability of clustering of the citation graph due to a decrease in the number of clusters has been solved. The main objective of this work is to address the challenge of selecting suitable partners for collaboration in scientific and educational projects. To achieve this, a method for choosing project executors has been developed, which employs fuzzy logical inference to harmonize expert opinions regarding candidate requirements. This approach helps facilitate the multi-criteria selection of potential partners for scientific and educational projects. In addition to the method, various software modules have been created as part of this research. These modules are designed for the automated collection of information on the publications and citation records of scientists through international scientometric databases. They also encompass a visualization module and a user interface that aids in evaluating the scientific activities of university teaching staff. Choosing partners for grants or strategic collaborations, especially in the context of a globalized and highly mobile scientific community, remains a pertinent issue. The approach described in this research involves clustering the scientific publications of potential project partners. Furthermore, it incorporates conducting comparative citation analyses of these publications and establishing proximity based on n-gram annotation analysis. These methods provide a scientific basis for making informed choices when selecting partners, which is crucial for initiating and advancing research projects. Consequently, the selection of partners for forming research project teams is an immediate and pressing task.

Scientists’ disciplinary characteristics and collaboration behaviour under the convergence paradigm: A multilevel network perspective

The convergence paradigm underlines the importance of integrating multiple disciplines through collaboration. However, the crucial question of how scientists' disciplinary characteristics influence scientific collaboration remains unresolved. Using an exponential random graph model for multilevel networks, this study provides insights into the impact of scientists' disciplinary characteristics on their collaborative behaviour based on data from the Materials Genome Initiative, a typical convergence field. These results show that: under the convergence paradigm, scientists with a greater number of affiliated disciplines or with greater disparities in knowledge systems among their affiliated disciplines are less active in collaboration, whereas scientists with more balanced competence across their affiliated disciplines are more active. Scientists are more likely to collaborate with people who have a similar ability to integrate multidisciplinary knowledge. Scientists with a focus on applied disciplines are more likely to collaborate than are those with a preference for basic disciplines. Scientists who focus more on peripheral and external disciplines are more active in collaboration than scientists who focus on core and internal disciplines. Scientists collaborate based on shared disciplines and utilise the unique disciplines of their collaborators to advance knowledge and thus expand their own research space. This study provides evidence for the selection of partners based on scientists' disciplinary characteristics and highlights its importance for interdisciplinary teams and project management.

A novel CE-PT-MABAC method for T-spherical uncertain linguistic multiple attribute group decision-making

A T-spherical uncertain linguistic set (TSULS) is not only an expanded form of the T-spherical fuzzy set and the uncertain linguistic set but can also integrate the quantitative judging ideas and qualitative assessing information of decision-makers. For the description of complex and uncertain assessment data, TSULS is a powerful tool for the precise description and reliable processing of information data. However, the existing multi-attribute border approximation area comparison (MABAC) method has not been studied in TSULS. Thus, the goal of this paper is to extend and improve the MABAC method to tackle group decision-making problems with completely unknown weight information in the TSUL context. First, the cross-entropy measure and the interactive operation laws for the TSUL numbers are defined, respectively. Then, the two interactive aggregation operators for TSUL numbers are developed, namely T-spherical uncertain linguistic interactive weighted averaging and T-spherical uncertain linguistic interactive weighted geometric operators. Their effective properties and some special cases are also investigated. Subsequently, a new TSULMAGDM model considering the DM’s behavioral preference and psychology is built by integrating the interactive aggregation operators, the cross-entropy measure, prospect theory, and the MABAC method. To explore the effectiveness and practicability of the proposed model, an illustrative example of Sustainable Waste Clothing Recycling Partner selection is presented, and the results show that the optimal solution is h3. Finally, the reliable, valid, and generalized nature of the method is further verified through sensitivity analysis and comparative studies with existing methods.

Qualitative Evaluation of Treatment Partners for People With HIV in Botswana: Current Healthcare Provider Practices and Recommendations for Improvement.

Botswana has an adult HIV prevalence of 20.8% and annual incidence of 0.2%. We aimed to evaluate current practices and advance recommendations for treatment partners (informal adherence supporters) for people with HIV in Botswana. In January-February 2020, we conducted seven focus groups with 36 healthcare providers at seven HIV clinics in Gaborone, Botswana. Providers perceived treatment partners to be critical for quality patient care. They shared that in the new era of universal antiretroviral therapy (ART) initiation immediately after diagnosis ("test-and-treat"), providers no longer require patients to select treatment partners at ART initiation. Providers suggested a renewed emphasis on treatment partners. They believed that standard guidance for providers around treatment partner selection would ensure that providers cover similar topics across patients and endorsed implementation of workshops to educate treatment partners on how to support patients. However, streamlined ART initiation policies require innovative strategies, including eHealth interventions, to engage treatment partners.

“Us Versus Them” : The impact of homophily and trust in partner selection and cooperation intensity in coopetitive agreements

As an increasing number of companies adopt coopetition strategies (simultaneous cooperation and competition), it is important to better understand how they select their coopetitor (partner-competitor) and how they set the intensity of their cooperation with these competitors. Because previous studies underestimated the social ties in which these coopetitive agreements occur, this research answers the following research question: How do homophily and trust impact partner selection and the intensity of cooperation in coopetitive agreements? We conduct a multiple-case study to investigate a network of coopetitive relationships between nine competing Cameroonian firms in the distribution of construction and civil engineering equipment in the Douala region (the economic capital of Cameroon) and use ethnic groups to measure the notion of homophily. Because all these firms have interethnic and intraethnic coopetitive agreements, we were able to address the importance of homophily in partner selection and in the intensity of cooperation in coopetitive agreements. Our findings show, first, that coopetitors prefer to cooperate with competitors that belong to the same group because they trust them more and anticipate less coopetitive tensions and opportunistic behaviors in the future. Second, we note that the intensity of cooperation between competitors is much higher in intragroup coopetitive agreements (i.e., within the same group) than in intergroup coopetitive agreements (i.e., between two companies whose managers are from two different groups). Third, we underline that peer pressure and the existence of credible sanctions reinforce the positive relationship between being a member of the same group and trust and thus the intensity of cooperation between coopetitors.

СТРАТЕГІЧНІ АЛЬЯНСИ ЯК ІНСТРУМЕНТ СИНЕРГІЇ МІЖНАРОДНОГО БІЗНЕСУ

The article investigates the role of strategic alliances in developing international business. This study aims to analyze the essence, forms, types, advantages, and disadvantages of strategic alliances, as well as to identify key success factors and potential risks associated with their formation. The research methodology includes a comprehensive literature review and a case study analysis of successful strategic alliances between leading international companies in various industries. The study results demonstrate that strategic alliances have become a powerful tool for achieving synergy and enhancing the competitiveness of companies in international markets. The article highlights the importance of careful planning, partner selection, clear goal setting, and continuous monitoring for the effective implementation of strategic alliances. The study also examines current trends in the development of strategic alliances in the context of globalization and digital transformation of business. The practical value of the study lies in providing insights and recommendations for companies considering the formation of strategic alliances to expand their global presence and achieve sustainable growth in the face of increasing competition and technological challenges. The article concludes by emphasizing the growing significance of strategic alliances as a key instrument for synergy and competitiveness in the international business environment and outlines potential directions for future research in this field. The study delves into the various motivations behind the formation of strategic alliances, such as access to new markets, sharing of risks and costs, acquisition of complementary resources and capabilities, and enhancement of innovation potential. The article also discusses the critical role of trust, communication, and cultural compatibility in the success of strategic alliances, highlighting the need for effective governance mechanisms and conflict-resolution strategies. The article also addresses the challenges and limitations of strategic alliances, such as the potential for opportunistic behaviour, loss of autonomy, and difficulties in integration and coordination, and suggests ways to mitigate these risks through proper due diligence, contractual safeguards, and ongoing relationship management.

Proteomic assessment of SKBR3/HER2+ breast cancer cellular response to Lapatinib and investigational Ipatasertib kinase inhibitors.

Modern cancer treatment strategies aim at achieving cancer remission by using targeted and personalized therapies, as well as harnessing the power of the immune system to recognize and eradicate the cancer cells. To overcome a relatively short-lived response due to resistance to the administered drugs, combination therapies have been pursued. The objective of this study was to use high-throughput data generation technologies such as mass spectrometry and proteomics to investigate the broader implications, and to expand the outlook, of such therapeutic approaches. Specifically, we investigated the systems-level response of a breast cancer cell line model to a mixture of kinase inhibitors that has not been adopted yet as a standard therapeutic regime. Two critical pathways that sustain the growth and survival of cancer cells, EGFR and PI3K/AKT, were inhibited in SKBR3/HER2+ breast cancer cells with Lapatinib (Tyr kinase inhibitor) and Ipatasertib (Ser/Thr kinase inhibitor), and the landscape of the affected biological processes was investigated with proteomic technologies. Over 800 proteins matched by three unique peptide sequences were affected by exposing the cells to the drugs. The work corroborated the anti-proliferative activity of Lapatinib and Ipatasertib and uncovered a range of impacted cancer-supportive hallmark processes, among which immune response, adhesion, and migration emerged as particularly relevant to the ability of drugs to effectively suppress the proliferation and dissemination of cancer cells. Changes in the expression of key cancer drivers such as oncogenes, tumor suppressors, EMT and angiogenesis regulators underscored the inhibitory effectiveness of drugs on cancer proliferation. The supplementation of Lapatinib with Ipatasertib further affected additional transcription factors and proteins involved in gene expression, trafficking, DNA repair, and development of multidrug resistance. Furthermore, over fifty of the impacted proteins represent approved or investigational targets in the DrugBank database, which through their protein-protein interaction networks can inform the selection of effective therapeutic partners. Altogether, the exposure of SKBR3/HER2+ cells to Lapatinib and Ipatasertib kinase inhibitors uncovered a broad plethora of yet untapped opportunities that can be further explored for enhancing the anti-cancer effects of each drug as well as of many other multi-drug therapies that target the EGFR/ERBB2 and PI3K/AKT pathways.

Selection of Collaborative Partners for Ambidextrous Technological Innovation: an Approach based on Community Detection

Selection of Collaborative Partners for Ambidextrous Technological Innovation: an Approach based on Community Detection

ЗАСТОСУВАННЯ СВІТОВОГО ДОСВІДУ У ФОРМУВАННЯ ЕКОНОМІЧНОЇ БЕЗПЕКИ ПІДПРИЄМСТВА

The key goal of any enterprise is to maximize its profit. Achieving this goal lies in the active use of economic security measures. Thus, the economic security of the enterprise is a continuous process that guarantees the stability and stability of the economic environment. It is natural that the current socio-economic and geopolitical instability in the world provokes a significant negative impact on the activities of enterprises. Therefore, for their effective functioning and further development in the conditions of destabilizing factors of the external environment, the necessary level of their economic security must be constantly maintained. The global nature of the negative impact of destabilizing factors on economic security makes it necessary to turn to the experience of foreign countries regarding the mechanisms of its provision. The article identifies a number of factors that exert the main influence on the economic security of the enterprise in recent years. The approaches of various scientists to the definition and content of the concept of economic security have been studied. The components of the economic security system of the enterprise are illustrated. The main goals of increasing the level of economic security of the enterprise have been systematized. The reaction of the European Union to threats to economic security in the region due to the consequences of the Russian-Ukrainian war is determined. Using the example of Japan, the impact of the war on the economic security of hundreds of enterprises that play an important role in the economy of this country is determined in detail. Research was conducted in terms of such components as revision of risk assessments of other regions, change of suppliers, increase in costs from sanctions, careful selection of business partners, suppliers and customers, suspension or closure of the enterprise, decrease in earnings. Measures implemented by Japanese companies to support economic security are analyzed. The experience of Germany and the USA in supporting the economic security of enterprises was studied, with the specification of the measures taken for this purpose. The parallel of the specified measures to support economic security with the functioning of domestic enterprises was carried out. Achievements and forecasts regarding the future level of their economic security are highlighted.

Discussion and Application Analysis of Supply Chain Partner Selection Method Based on AHP

Discussion and Application Analysis of Supply Chain Partner Selection Method Based on AHP

Investigating the Effectiveness of Developing a Pre-Marriage Educational Package Based on Film Using Sternberg's Theory on Attitudes About Romance and Mate Selection in Unmarried Girls

Purpose: This study aims to investigate the effectiveness of a pre-marriage educational package based on Sternberg's theory on attitudes about romance and mate selection in single girls. Specifically, it examines the efficacy of a pre-marriage education program for single girls, using Sternberg's theory on love stories. Methodology: This research is applied in purpose, quasi-experimental in method, and uses a pre-test-post-test control group design with a follow-up stage (one month). The statistical population comprised individuals who attended the Haft Sange Zendegi Educational Institute in Izeh city in 2023, selected through available sampling. Fifty single girls were selected and divided into two groups (experimental and control). Before the training classes, both groups were assessed using the Attitudes about Romance and Mate Selection Scale. The experimental group underwent a film therapy program based on Sternberg's concepts for 25 sessions of two hours each, while the control group received no intervention. Data analysis was performed using multivariate analysis of covariance and repeated measures analysis of variance with SPSS 27 software. Findings: The findings indicated that implementing the pre-marriage educational protocol based on Sternberg's theory through film led to a significant shift in the attitudes of single females (P<0.001). There was a notable difference between the control and experimental groups in both the post-test and follow-up periods (P<0.001). Conclusion: This research highlights the potential of premarital counseling centered on movies. The findings suggest that unmarried girls' viewpoints on love and partner selection improved following the program, emphasizing the benefits of such interventions before marriage. Various stakeholders, including parents, educators, and counselors, can employ these guidelines to address a range of concerns.

Reduction of Insolvency Risk and Total Costs in Banking Sector using Partners Selection Approach with Genetic Algorithm and Multilayer Perceptron Neural Network

Reduction of Insolvency Risk and Total Costs in Banking Sector using Partners Selection Approach with Genetic Algorithm and Multilayer Perceptron Neural Network

ԵՐԻՏԱՍԱՐԴՆԵՐԻ ԱՄՈՒՍՆԱԿԱՆ ԶՈՒԳԸՆԿԵՐՈՋ ԸՆՏՐՈՒԹՅԱՆ ՀՈԳԵԲԱՆԱԿԱՆ ԱՌԱՆՁՆԱՀԱՏԿՈՒԹՅՈՒՆՆԵՐԸ ՀԱՄԱՑԱՆՑԱՅԻՆ ՏԻՐՈՒՅԹՈՒՄ / PSYCHOLOGICAL CHARACTERISTICS OF YOUNG PEOPLE'S PARTNER SELECTION IN THE INTERNET DOMAIN

In the modern world, the virtualization of the communication process has created opportunities for people to communicate across time and space. Communication with people, transmission of various information, searches for any information, etc., which take place through the Internet, give a person the opportunity not only to be informed about various changes and events taking place in the world, but also to share one's experience, one or another event in life, as well as gain recognition. The proliferation of virtual dating platforms in the Internet space has increased the possibilities of forming romantic relationships. The purpose of our work is to reveal the trends of youth in choosing a marriage partner through the Internet. To explore both young people's attitudes and subjective perceptions of the Internet domain as a partner selection platform. We used psychological tests for research and subjected the obtained results to quantitative and qualitative analysis. It can be concluded that the online space is perceived as a unique environment for forming personal relationships by young people, where finding new friends and interlocutors, as well as establishing romantic relationships and finding life partners becomes easy and effective, important and useful, pleasant and attractive.

Pre and Post–Merger Financial Performance Analysis of Commercial Banks in Nepal

Purpose: This study attempts to examine the effect of merger on the financial performance of Nepalese commercial banks.
 Methodology: This paper employs a descriptive and causal comparative research design to examine the financial performance of commercial banks involved in six merger deals as of mid-July 2022, with a sample of four merger deals completed before mid-July 2018. Mean, standard deviation, paired sample t-test, Pearson correlation, regression analysis, and the VIF test, are utilized for data analysis. Financial performance is evaluated using nine key ratios (EPS, NWPS, P/E ratio, CD ratio, CAR, NPL ratio, ROA, ROE, and NPM). Secondary data covering six years (2010 to 2019), excluding the specific merging year, are analyzed.
 Findings: The analysis of pre- and post-merger financial performance in the sample commercial banks revealed statistically significant differences in EPS, NWPS, ROA, and NPM. Positive correlations were observed between the pre- and post-merger periods for EPS, NWPS, CD ratio, CAR, NPL ratio, ROA, ROE, and NPM, excluding the P/E ratio. The merger proved beneficial for Nepalese commercial banks, leading to improved profitability in terms of EPS, ROA, and NPM in the post-merger phase. However, factors like CD ratio, CAR, and NPL ratio, regulated by the NRB, showed no significant changes post-merger. Although banks experienced increased P/E ratio and ROE, the impact was deemed insignificant. Notably, CAR had the most significant impact on both pre- and post-merger ROA.
 Implication: The results derived from the study are relevant to managers for future merger decisions and can be used for the selection of a suitable partner for future merger activities.
 Value: It contributes to a better understanding of the overall merger scenario in Nepalese banking sector, as well as the relationship between certain restrictions and merger.

Enterprise Architecture Development to Strengthen Sustainability in the Supply Chain

In contemporary international business, the significance of sustainability in supply chain operations has emerged as a prominent area of interest. The present study investigates the significant impact that Enterprise Architecture has on enhancing the sustainability of enterprise supply chains. By integrating Enterprise Architecture concepts in their entirety, this study presents a framework that empowers organizations to formulate sustainable sustainability strategies. Enterprise Architecture is utilized to identify, manage, and integrate supply chain critical elements that impact sustainability, such as waste management, energy efficiency, resource utilization, and the selection of sustainable business partners. This research demonstrates how progressive Enterprise Architecture implementation can contribute to the sustainability of supply chains, assist organizations in addressing environmental and social challenges, and generate long-term value for businesses and their business ecosystems by delineating an all-encompassing architecture. This study examines in depth how the application of Enterprise Architecture can catalyze achieving supply chain sustainability and provides companies with guidance on how to design and implement sustainable, structured sustainability strategies.

DIFFERENCE BETWEEN OPENHPC AND HTCONDOR CLUSTER SYSTEMS: IN-DEPTH ANALYSIS

The rapidly developing field of high-performance computing (HPC) requires efficient and scalable solutions to manage extensive computing loads. Although they use different approaches and architectures, OpenHPC and HTCondor are well-known platforms that meet these needs. This article thoroughly analyzes OpenHPC and HTCondor to identify their fundamental differences and work paradigms. OpenHPC is a comprehensive modular structure designed to facilitate the deployment, management, and maintenance of HPC clusters, offering a rich set of pre-integrated HPC software components. Conversely, HTCondor specializes in efficiently planning and managing resource-intensive tasks, using a unique partner selection system for dynamic resource allocation based on job requirements and resource availability. By examining aspects such as system architecture, resource management efficiency, scalability, flexibility, and the user ecosystem, this analysis sheds light on the strengths and weaknesses of each structure. The research aims to provide stakeholders in high-performance computing with the knowledge necessary to make informed decisions regarding the selection and implementation of high-performance computing management systems, ultimately aimed at optimizing the use of computing resources and optimizing research and development workflows.

Uloga faktora rizika, kompatibilnosti partnera, organizacijske kreativnosti i vrijednosti zajedničkog stvaranja na uspješnost tvrtke: primjer malih i srednjih poduzeća u Vijetnamu

This research aims to analyze how risk and compatibility between partners affect organizational creativity, co-creation value, and firm performance in a developing economy. The PLS-SEM method was utilized to process and evaluate a dataset of 454 valid cases from property owners, chief executives, vice presidents, broad assistants, and department managers of SMEs in Vietnam. The results validated the connections between risk variables, partner compatibility, organizational creativity, co-creation value, and firm performance. This study further enhances the current knowledge base in the realm of partner selection and provides valuable insights that can be applied in managerial contexts. Companies must consider external factors like risk and partner compatibility to improve organizational creativity, co-creation value, and firm performance. While risk factors, partner compatibility, organizational creativity, co-creation value, and business performance have garnered significant attention in academic circles globally, there is a shortage of studies exploring the interrelationships among these five phenomena together. This research is one of the initial studies that presents a complete model elucidating the interconnections between different categories.

STRATEGI PEMBELAJARAN MELALUI MAGANG PROGRAM MERDEKA BELAJAR KAMPUS MERDEKA PADA PROGRAM STUDI PERBANKAN SYARIAH DI ERA PANDEMI

The development of Islamic banking in Indonesia increases the need for competent practitioners from Islamic Banking Study Program graduates. These graduates can reduce the need for basic training, thereby increasing the efficiency of Islamic banks. The government supports this through policies such as the Indonesian National Qualifications Framework (KKNI) and Merdeka Belajar Kampus Merdeka (MBKM), which aim to create a link and match between higher education and industry. Internships are a form of MBKM learning that can strengthen student competencies. The Analytic Network Process (ANP) method identifies and analyzes problems supporting MBKM in the Islamic Banking Study Program. The research shows two main issues: the duration of internships that the industry considers too long and the difficulty of ensuring learning outcomes (LLOs) by academics. The recommended strategies to overcome these problems include: Establishing good relationships with partners, Improving systems and procedures, Conducting partner selection, Increasing the number of partners. Implementing these strategies is expected to improve the effectiveness and efficiency of the learning process through internships.