Partner Selection Process Research Articles

Analysis of the Application the Promethee Method in Determining Work Partners at the Central Statistics Agency of Central Aceh Regency

The selection of partners at the Central Statistics Agency of Central Aceh Regency faces challenges because manual selection methods are considered inefficient and inaccurate. Therefore, this study aims to improve the accuracy and efficiency of the selection process by applying the Promethee (Preference Ranking Organization Method for Enrichment Evaluations) method. This method is used as a multi-criteria decision-making technique and is implemented using the Python programming language for automatic and real-time data processing. The data used comes from the 2024 partner recruitment process at the Central Statistics Agency of Central Aceh Regency, consisting of candidates who have met the administrative requirements. The validity of the promethee method is tested through the calculation of an error percentage that reaches 10%, demonstrating the method's ability to filter partners according to the established criteria. In conclusion, the application of the promethee method has been proven to improve the efficiency and accuracy of the partner selection process, where the Python-based system developed can reduce the time and effort required in decision-making while producing more valid and reliable partner recommendations.

Developing a Participatory Action Research Analytic Network to Advance a More Inclusive Process to Housing Research

Community residents have repeatedly organized and identified policy solutions to address rapidly increasing housing pressures within the greater Boston area. However, resident expertise is often dismissed as anecdotal. Since 2015, The Healthy Neighborhoods Research Consortium (HNRC) has used a participatory action research (PAR) approach to articulate research questions, design mixed methods instruments, collect and analyze data, and share findings to meet community-identified research priorities. We argue in favor of research processes that enable resident experiences and expertise to be used in conjunction with quantitative data analysis, and that support real-time action to address the harms of gentrification in their communities. The goals of this brief are to describe the HNRC’s process for developing a “PAR Analytic Network” — a program focused on building community residents’ power to create new academic partnerships for the purpose of answering their broader systems-level questions. Based on our experience we offer four recommendations: 1) Apply a PAR approach to identify research question(s) of mutual interest; 2) Community control over the academic partner selection process; 3) Academic Partners: Trust the PAR process; and 4) Community Residents: Identify the Silver Linings.

Process improvement analysis in toll corridor development with lean six sigma approach: case in PT Jasamarga Related Business

Toll Corridor Development (TCD) is one of the businesses conducted by PT Jasamarga Related Business as a follow-up to the issuance of Peraturan Menteri Pekerjaan Umum dan Perumahan Rakyat (PUPR) No. 28 of 2021. In the development of its first TCD project, Jasamarga Related Business (JMRB) encountered issues that resulted in the delay of the project's completion. The purpose of this research is to analyze and make improvements to the causes of delays in the Taman Mini TCD project. In this research, the lean six sigma approach is used to analyze process improvements that can be carried out so that these problems can be minimized in the further development of TCD. To identify activities that cause delays in the implementation of this project, the critical path method (CPM) was used based on the results of interviews with those directly involved in the development of TCD project. From the activities that cause the delay, a causal analysis is carried out using a fishbone diagram, and then an analysis of possible improvements is carried out using a lean concept approach. Based on the analysis results, three main issues are identified, namely inadequate planning process, ineffective partner or consultant selection process and delays in construction completion. From the cause-and-effect analysis, it can be concluded that potential improvements can be made by implementing the concept of pull planning, improving the business process by reducing waste and enhancing value-added activities, establishing effective stakeholder management, and maximizing the use of technology-based applications to aid project control.

International Trade Partner Selection Model and Its Influencing Factors Based on Machine Learning

Iinternational trade partner selection model and its influencing factors based on machine learning represents a significant advancement in global business strategies. By harnessing the capabilities of machine learning algorithms, this model analyzes a multitude of variables such as market trends, economic indicators, and partner attributes to identify optimal trade partners for businesses. Factors such as geographical proximity, market stability, and cultural compatibility are incorporated into the model to provide data-driven insights into partner selection decisions. This paper investigates the application of Stacked Random Field Machine Learning (SRF-ML) in the domain of international trade partner selection. The selection of suitable trade partners is a crucial aspect of global trade operations, influencing the efficiency and success of business ventures. Traditional approaches to partner selection often rely on subjective assessments or simplistic models, which may overlook important factors and lead to suboptimal decisions. In contrast, SRF-ML offers a powerful framework for analyzing complex datasets and making informed predictions about partner suitability. Through the integration of multiple layers of random field models, SRF-ML can effectively capture intricate relationships between various attributes and provide more accurate assessments of partner compatibility. In this paper explore the performance of SRF-ML models across different datasets and scenarios, considering factors such as market size, economic stability, and logistical capability. The results demonstrate the superior performance of SRF-ML compared to traditional machine learning approaches, highlighting its potential to revolutionize partner selection processes in the realm of international trade. The results demonstrate the superior performance of SRF-ML compared to traditional machine learning approaches, with accuracy improvements ranging from 5% to 10%. By leveraging advanced feature sets and model configurations, SRF-ML enables decision-makers to make more informed and strategic decisions, ultimately enhancing the efficiency and effectiveness of global trade operations.

Evaluating Partners for Renewable Energy Trading: A Multidimensional Framework and Tool

The worsening climate crisis has increased the urgency of transitioning energy systems from fossil fuels to renewable sources. However, many industrialized countries are struggling to meet their growing demand for renewable energy (RE) through domestic production alone and, therefore, seek to import additional RE using carriers such as hydrogen, ammonia, or metals. The pressing question for RE importers is therefore how to select trading partners, i.e., RE exporting countries. Recent research has identified a plethora of different selection criteria, reflecting the complexity of energy systems and international cooperation. However, there is little guidance on how to reduce this complexity to more manageable levels as well as a lack of tools for effective partner evaluation. This article aims to fill these gaps. It proposes a new multidimensional framework for evaluating and comparing potential RE trading partners based on four dimensions: economy and technology, environment and development, regulation and governance, and innovation and cooperation. Focusing on Germany as an RE importer, an exploratory factor analysis is used to identify a consolidated set of composite selection criteria across these dimensions. The results suggest that Germany’s neighboring developed countries and current net energy exporters, such as Canada and Australia, are among the most attractive RE trading partners for Germany. A dashboard tool has been developed to provide the framework and composite criteria, including adjustable weights to reflect the varying preferences of decision-makers and stakeholders. The framework and the dashboard can provide helpful guidance and transparency for partner selection processes, facilitating the creation of RE trade networks that are essential for a successful energy transition.

Security screening metrics for information-sharing partnerships.

Recent history has shown both the benefits and risks of information sharing among firms. Information is shared to facilitate mutual business objectives. However, information sharing can also introduce security-related concerns that could expose the firm to a breach of privacy, with significant economic, reputational, and safety implications. It is imperative for organizations to leverage available information to evaluate security related to information sharing when evaluating current and potential information-sharing partnerships. The "fine print" or privacy policies of firms can provide a signal of security across a wide variety of firms being considered for new and continued information-sharing partnerships. In this article, we develop a methodology to gauge and benchmark information security policies in the partner-selection process that can help direct risk-based investments in information sharing security. We develop a methodology to collect and interpret firm privacy policies, evaluate characteristics of those policies by leveraging natural language processing metrics and developing benchmarking metrics, and understand how those characteristics relate to one another in information-sharing partnership situations. We demonstrate the methodology on 500 high-revenue firms. The methodology and managerial insights will be of interest to risk managers, information security professionals, and individuals forming information sharing agreements across industries.

MENGKAJI MODEL PENINGKATAN KINERJA ALIANSI STRATEGIS DAN KEUNGGULAN BERSAING UMKM

This research aims to test a model for improving alliance performance and competitive advantage in MSMEs in the Borobudur area. This research uses a survey-based quantitative approach to collect primary data. The sample in this research was 44 MSMEs located in the Borobudur area and already had alliances or partners. The sampling method uses snowball sampling. Data were analyzed using multiple linear regression by SPSS. The results show that the partner selection process and relational capital can improve alliance performance of MSMEs. Furthermore, alliance performance has an influence on the competitive advantage of MSMEs. These results support the resource-based view theory and resource-dependent theory. The results provide practical implications for MSME managers in the Borobudur area to be selective in choosing suitable partners and improve the quality of relationships with partners in order to improve alliance performance, thus it can increase the competitive advantage of MSMEs.

Process Improvement Analysis in Toll Corridor Development With Lean Six Sigma Approach

Toll Corridor Development (TCD) is one of the businesses conducted by PT Jasamarga Related Business as a follow-up to the issuance of Peraturan Menteri Pekerjaan Umum dan Perumahan Rakyat (PUPR) No. 28 of 2021. In the development of its first TCD project, Jasamarga Related Business (JMRB) encountered issues that resulted in the delay of the project's completion. The purpose of this research is to analyze and make improvements to the causes of delays in the Taman Mini Toll Corridor Development (TCD) project. In this research, the lean six sigma approach is used to analyze process improvements that can be carried out so that these problems can be minimized in the further development of TCD. To identify activities that cause delays in the implementation of this project, the Critical Path Method (CPM) concept was used and further analyzed based on the results of interviews with those directly involved in the development of TCD Taman Mini. From the activities that cause the delay, a causal analysis is carried out using a fishbone diagram, and then an analysis of possible improvements is carried out using a lean concept approach. Based on the analysis results, three main issues are identified, namely inadequate planning process, ineffective partner or consultant selection process and delays in construction completion. From the cause-and-effect analysis, it can be concluded that potential improvements can be made by implementing the concept of pull planning, improving the business process by reducing waste and enhancing value-added activities, establishing effective stakeholder management, and maximizing the use of technology-based applications to aid project control.

Ethnicity-Related Partner Selection Experiences Among Young Adults from Christian Armenian Families: A Qualitative Study in Turkey

ABSTRACT In this qualitative study partner selection experiences of young Armenian adults were examined using Ecological Systems Theory and Filter Theory as a theoretical basis. The literature review of partner selection was reviewed in three subtitles as theoretical foundations of partner selection, partner selection studies in Turkey, and intermarriage and intramarriage in Armenians. The study was conducted with 10 participants and data analysis was undertaken through thematic analysis using MAXQDA. This approach emerged nine themes and eight subthemes across four levels. Individuals’ Filters and Preferences about Partner Selection Level themes were as follows: 1. Choosing an Armenian partner is a priority, 2. Importance of the Partner’s Ethnic Identity is Highlighted for Long-Term Relationships, 3. Implementing other selection filters than ethnic identity, 4. Advising Armenian Partner to Children without Rigid Restrictions. Impact of Immediate Social Environment level emerged as Theme 5: Community disapproves and judges out-group marriages, 6. Friends tend to select Armenian partners w/out isolating others, and 7. Families implement and contain partner restriction, Social Connection Level theme revealed: 8. Strength of ties to Armenian Culture/Community promote deeper interiorizing of ingroup partner selection, Attitudes and Ideologies of the Culture Level emerged as 9. Concerns about sustaining culture/population promote in group partner selection. Themes and Subthemes were elaborated upon and discussed in the results and discussion sections providing comprehensive insight into the partner selection experiences of young Armenian Adults. Thematic analysis of the interviews exhibited the interaction of the larger social systems during the partner selection process of Armenian young adults. Thus, this study introduced an extended framework illuminating partner selection experiences among ethnic minorities in the Turkish context

THE TASK OF CHOOSING PARTNERS FOR THE ORGANIZATION OF COOPERATION IN THE FRAMEWORK OF SCIENTIFIC AND EDUCATIONAL PROJECTS

The primary objective of this article is to establish a set of fundamental criteria for the selection of scientific partners for collaborative research efforts. Achieving this objective entails addressing the challenge of identifying criteria that are both objective and universally applicable, capable of encompassing various fields of scientific research, such as natural sciences, technical sciences, and economic sciences, among others. One such criterion, applicable to scientists, may involve assessing their publication activity within specific research areas that align with the objectives of the relevant scientific research or international projects. In the contemporary landscape of scientific research, there is a growing urgency to enhance the effectiveness of research endeavors and to foster efficient collaboration within scientific communities. This is particularly vital for organizations oriented towards project-based research. In the formation of research project teams, a conventional approach is to select partners from the pool of scientists possessing the requisite qualifications and experience in the execution of such projects. A widely accepted yardstick for evaluating the outcomes of scientists' research endeavors is the citation metrics associated with their publications. Typically, these metrics take the form of scalar values. While this approach offers several advantages, it is not without its limitations. One notable drawback is the potential loss of information when converting raw data into scalar metrics, and the existence of certain edge cases where the parameter remains unchanged despite variations in the number of citations and publications. Hence, it is pertinent to explore the development of new methodologies or modifications to existing ones that can effectively evaluate the results of scientists' research activities while mitigating these limitations.Начало формы The article describes the criteria for the search and selection of partners for joint scientific research. This will make it possible to effectively form teams for narrowly focused scientific research or international collaboration projects in interdisciplinary scientific projects such as the European Horizon Program or educational projects such as the Erasmus plus program. Also, the proposed solution will allow the formation of small teams for joint scientific publications. It is imperative to acknowledge that the process of partner selection is predominantly driven by a consideration of the knowledge, whether it be novel or foundational, possessed by prospective partners who are entrusted with the execution of a project. It becomes crucial to delineate the specific criteria governing partner selection which can vary contingent upon factors such as the typology of partners, the nature of project tasks, the depth of knowledge possessed, and related contextual variables. A vital underpinning for the formation of project consortia is the mathematical conundrum of choice which furnishes a formal rationale for the judicious selection of a particular partner.

A Critical Review of the Literature Regarding the Selection of Long-Term Romantic Partners

Research regarding how people choose their long-term romantic partners is extensive, but the understanding of the psychological processes behind these choices, and predicting who people choose, is elusive. This review attempts to examine potential reasons for this elusive nature by first outlining the current state of the literature and then highlighting issues within the current paradigm. First among these issues is a focus on singular perspectives and little attempt to integrate these perspectives with others. Second, many studies focus on increasingly complex designs to explore the predictive utility of trait preferences, attempts which have had only limited success. Third, novel findings appear to be unintegrated with established findings, leaving the potential combination of these ideas unrealized. Finally, long-term romantic partner selection is a complex psychological phenomenon, but current theory and research methodologies are not sufficiently addressing this complexity. This review concludes with suggestions for future research direction, including a focus on the psychology behind the partner selection process and the potential of qualitative enquiry to reveal novel pathways behind these psychological processes. There is a need for an integrative framework that permits the coexistence of established and novel ideas, and multiple perspectives, from both current and future research paradigms.

Tendencies Toward Supernormality/Subnormality in Generating Attractive and Unattractive Female and Male Avatars: Gender Differences.

In the present study, we investigated the differences in the experience of attractiveness and unattractiveness of human bodies. A total of 101 participants (55 females) were asked to create the most attractive and the most unattractive female and male figures using a computer animation. They performed this task by adjusting the size of six body parts: shoulders, breasts/chest, waist, hips, buttocks, and legs. Analyses indicated that attractive body parts were distributed normally with the peak shifted to moderately supernormal sizes, while unattractive body parts had mostly U-shaped or skewed distributions with extremes in super-supernormal and/or subnormal sizes. Generally, both male and female attractive bodies had prominent "sporty" look: supernormally wide shoulders and long legs. Gender differences showed that men prefer more supernomal masculine and feminine sizes, while women show an ambivalence toward both groups of traits. Principal components analysis revealed gender differences on the multitrait level: males focus on prominent masculine and feminine traits, while women focus on traits that make both male and female bodies more elongated and slender. Gender differences were in line with specific male and female positions in the partner selection process, while a certain tendency toward masculinization of the female body required the inclusion of social factors, such as the influence of the culture of a sporty and fit look.

Systematising partner selection processes for R&D business relationships

Innovations, opportunity identification, pursuit, exploitation as well as firm development can be addressed by organisations that develop formal relationship with others for the purposes of accessing essential resources, competencies, knowledge and legitimacy. To build a case in this area, we examine partner selection processes for research and development business relationship's success using multiple-case methodology. Drawing on the resource-based view-plus model (made up of the resources-based view of the firm, knowledge base view and trust theory), this study analyses how research and development can be enhanced by the selection of appropriate partners in strategic alliance. The findings provide best practices for managing partnership selection process in research and development knowledge area accentuated by trust, substantial capital, and financial stability as well as resource required for expansion. We introduce the box and scale model and how they can be administered during the partner selection process.

How to Find the Right Partner? Open Innovation Partner Selection Process

The aim of this paper is to gain an understanding of the partner selection process for open innovation. The inability to choose partners can lead to problems such as opportunistic behavior, the failure of open innovation, and a reluctance to collaborate. Therefore, partner selection is crucial in open innovation. Attention is directed to the determining factors that must be considered in the selection of a partner. The contents of the paper are mainly based on in-depth interviews with experts and practitioners who represent both organizations and individuals as actors in open innovation activities. The results show that complementarity, compatibility, and trust are important considerations in selecting the right partner. The implication of this research is that a managerial approach is needed that supports the company’s ability to find and evaluate external sources of knowledge to support innovation. The originality of this article is to provide an understanding that the existence of an organization in a network helps organizations access external knowledge resources. Involving external parties in the company’s innovation process accelerates innovation. In this case, getting the right partner is very important.

Multi-Stage Partner Selection for Firms’ Non-Core Offerings: A Study of The Telecom Sector of India

Partner selection is critical for organisational performance for both core and non-core offerings of a firm. Using a multiple-case study, we analyse the partner selection process related to the firm’s non-core offerings. The analysis suggests that partner selection is a multiple-stage process rather than a single-stage process. Partners are evaluated against the first set of criteria comprising value offering and technological complexity, generating possible decision sets through trade-off. Once the first stage decision is favourable, partners are assessed against another set of criteria at the next stage. For low technological complexity, the criteria are propensity to scale up and competitive advantage, whereas for high technological complexity, the criteria are organisational compatibility and technological sophistication. The decision sets from the final stage conclude partner selection and possible on boarding.

Do masks affect social interaction?

Wearing face masks to prevent the spread of COVID‐19 has proved controversial in many countries; conducting new research on the use of masks would be colored by this controversy. In 2012 (pre‐COVID), we conducted an experiment on the effects of masks on social interaction. College students (N = 250) were assigned to find a previously unknown student in a lecture hall, converse, and evaluate the interaction. Half were assigned to wear a surgical mask, sunglasses, and a hat (all provided); half wore no extra gear. Mask wearing had no effect on the ease, authenticity, friendliness of the conversation, mood, discomfort, or interestingness of the interaction. There were no discernable consequences of political ideology on the partner selection process or the evaluation of the interaction. Mask‐wearing did not disable successful social interaction in this setting.

Influential Criteria Towards Partner Selection for Strategic Alliances of Start-ups in Bandung City

Despite an already promising growth ecosystem, Indonesian start-ups have always struggled with limitations in capital and human resources. Forming an alliance is one of the compatible solutions to suffice the limited resources by utilizing external resources that are not available for one's party. Partner selection process is critical before forming a strategic alliance with the appropriate partner. Previous study of Wu, Shih, and Chan (2009) towards TFT-LCD industry, developed criteria for partner selection that includes characteristics of the partner, marketing knowledge capabilities, intangible assets, complementary capabilities, and degree of fitness. By incorporating literature studies relevant to the topic, it is hoped to attain knowledge of prominent partner selection criteria to increase likelihood in forming strategic alliances with start-ups. This study applies the quantitative method and distributes questionnaires to top management personnel working at start-ups in Bandung. The data collected will be measured using Principal Component Analysis to generate factor loadings that will determine whether listed items of questions align with the categorization of partner selection criteria based on the study of Wu, Shih, and Chan (2009).

A Qualitative Analysis of Partnership Formation – Matching Theory Perspective

Existing studies on EFT formation look at the partner selection process only from the founder’s perspective. This raises several questions. Founders may prefer teaming up with specific individuals but are these collaborations equally attractive to these individuals? Therefore, at the core of this study is the idea that ‘matching models’ are more relevant to answer the specific question of “How is the partnership formed between the founder and the co-founder?” To answer this, we collect primary data from the founder and co-founders of 13 entrepreneurial firms from four incubation centers in India for a period of there years. We establish that a successful partnership involves considering both micro-founder attributes and micro co-founder attributes. We also establish that the partnership formation depends not only on the founder’s ability to identify human capital within their networks, but a successful partnership is predominantly restricted by the ‘macro labour market attribute’ the ‘constraint of unmatched preparedness’ and the ‘culturally induced attributes’. We have discussed these in detail in the paper.

“Let’s have a chat!”: a field study on relational governance in the evolution of new venture-accelerator relationships

ABSTRACT Cooperative behavior can facilitate successful relationships between new ventures and investors after investment but also during partner selection. This view may apply especially to accelerators, which differ from other investors by investments at the earliest venture-development stages, significant collaboration between new ventures and investors, and fast decision-making. However, prior research is insufficient to describe the role of relational governance between new ventures and accelerators. We conduct ethnographic research and twenty interviews to determine how relational governance is built into and influences how the new venture-accelerator relationship emerges. Our findings reveal that process-based trust and relational norms are developed earlier in this relationship than research from other investment contexts suggests. We derive a framework that indicates that actors include in their partner-selection processes elements that allow them to build these relational governance mechanisms, such as interacting (e.g., having a chat) and aligning future behavior, early on. We theorize that they do so because they cannot rely on ventures’ track records and seek partners with whom transactions can be defined in the short term and with whom significant collaboration is possible. Our work contributes to relational governance theory in new venture-investor relationships and recent efforts to understand accelerators.

Are you of value to me? A partner selection reference method for software ecosystem orchestrators

• Software ecosystem partner selection. • Software ecosystem partner selection method development. • Software ecosystem partner selection criteria. • Software ecosystem orchestration. • Software ecosystem health. Software ecosystem orchestrators have insufficient insight and lack academic guidance in the partner selection criteria and methods available to aid them in their partner selection process. Therefore, orchestrators fail to vet, select, and engage suitable partners for their software ecosystem. Through six case studies with software orchestrators, we extract six industry methods for partner selection. Using situational method engineering, we create PALERMO: the PArtner seLEction Reference MethOd, which is subsequently evaluated by three different experts in the context of three more case studies. The method is composed and described using method engineering, and a list of partner selection criteria. Together, the method and list of criteria aid orchestrators in organizing and optimizing the partner selection process. The evaluation of the method in three extensive case studies, shows that the method is complete, effective, useful, and easy to use.