Communication Decision Research Articles

Investigating Community Decisions in Online Medicines Purchasing

The use of the internet for buying and selling transactions is starting to be beneficial, including as an effort to support health services, because there is no need for physical interactions either with customers or prospective customers, causing the development of online medicines purchasing services This study aimed to examine the factors that influence people's intention to purchase medicines online The data in this study were collected through semi-structured in-depth interviews guided by the Theory of Planned Behavior to 18 respondents who bought medicines online through Halodoc at Viva Pharmacy in Denpasar City, then the data were analyzed using QSR Nvivo 12 Plus software This study found that the public's intention or interest in using the online drug-buying application through the Halodoc application is largely influenced by three factors, namely: Internal motivation formed from positive perceptions regarding online drug buying services on the Halodoc application, external motivation formed from the influence and perceptions of barriers to using online drug purchase services on the Halodoc application Positive perceptions of online drug buying services on the Halodoc application and strong influence from external parties form a strong intention for the public to use online drug buying services on the Halodoc application, on the contrary, the perception of increasing barriers will reduce people's intention to use drug buying services online on the Halodoc application

The Female Standard:

The year 2020 has made plain many injustices present in the systems and worldviews of American society. In a divisive election year, the factor of “electability” was of key importance in the effort to nominate a candidate to oppose the sitting President. In considering the question “Where do we go from here?”, we ought to wrestle with our communal decision that the female candidates vying for the Democratic nomination were categorically unelectable or less electable simply because of their femaleness. This paper seeks to explore how interpretation of our Scriptures has played a role in sustaining the societal structures which foster inequality. And, more importantly, how our Scriptures can fruitfully be interpreted to validate female leadership.
 Using the example of the story of Martha and Mary in the Gospel of Luke, this paper will problematize modern readings that have created a culture of devaluing female leadership. The history of interpretation of the story of Martha and Mary has evolved in many phases, the most relevant being that interpretation has narrowed from a story of discipleship for all Christians to a story that only has meaning for women. Reflecting on both Scripture and current gender studies commentary, this paper will call into question the unreasonable expectations of American women and consider where we ought to go from here.

DisBot: A Portuguese Disaster Support Dynamic Knowledge Chatbot

This paper presents DisBot, the first Portuguese speaking chatbot that uses social media retrieved knowledge to support citizens and first-responders in disaster scenarios, in order to improve community resilience and decision-making. It was developed and tested using Design Science Research Methodology (DSRM), being progressively matured with field specialists through several design and development iterations. DisBot uses a state-of-the-art Dual Intent Entity Transformer (DIET) architecture to classify user intents, and makes use of several dialogue policies for managing user conversations, as well as storing relevant information to be used in further dialogue turns. To generate responses, it uses real-world safety knowledge, and infers a dynamic knowledge graph that is dynamically updated in real-time by a disaster-related knowledge extraction tool, presented in previous works. Through its development iterations, DisBot has been validated by field specialists, who have considered it to be a valuable asset in disaster management.

Risk aversion, path dependency and financial economic decision-making in low-income communities: Experimental evidence from South Africa

Orientation: Poverty is deeply entrenched in South Africa, and various initiatives to reduce it have not been successful. Behavioural economics may help explain this by testing whether individuals exhibit path dependence when making decisions under uncertainty. Research purpose: The aim of this article was to test the presence of path dependence and the determinants of risk aversion. Motivation for the study: This study was conducted in Eastern Cape province of South Africa, which is largely rural, with a high level of poverty, where 36% of households depend on social security grants, and unemployment is higher than the national average. Research approach/design and method: An experimental design approach was applied, eliciting risk under different prospects. Descriptive statistics was used to determine path dependency, with random effects regression used to investigate the determinants of risk aversion. Main findings: The results show the existence of path dependence, with individuals who are more risk averse unwilling to change their choices even if they stand to win or lose more than in the previous period. Practical/managerial implications: Policymakers need to consider these behavioural characteristics in formulating policies to reduce poverty. Information and how that information is presented (framing) are central for impactful policy formulation. Contribution/value-add: The results here have policy implications on addressing triple challenges bedeviling South Africa and many developing countries.

STRATEGI PRODUK, HARGA, PROMOSI, DAN KEAMANAN TERHADAP PENGAMBILAN KEPUTUSAN MASYARAKAT DALAM MEMILIH BLIBLI.COM SEBAGAI PASAR ONLINE DI JAKARTA

This study aims to determine whether there is an influence of product strategy, price, promotion, and security on community decision making in choosing blibli.com as an online / e-commerce market in Jakarta. Research using primary data collected through google doc which contains questionnaires with the unit of analysis studied are people in the DKI Jakarta area. This study was tested using a survey method of research samples as many as 200 people who have accessed and shop at the shopping site Blibli.com. The test equipment used in this study is to use a prerequisite test which includes; normality test, construct validity and reliability test, confirmatory analysis and feasibility test of the overall goodness of fit index. Data analysis method used is Structural Equation Model (SEM) which is assisted with AMOS version 22.0 software. The results of this study indicate that product strategy variables have a positive and real effect on community decision-making in choosing blibli.com as an online / e-commerce market in Jakarta as indicated by the CR value of -2.085> 1.96 and a probability value of 0.037 1.96 and a probability value of 0.035 1.96 and a probability value of 0.016 0.05

Bench Reflections on Healing and Patient Care.

Benches are a metaphor for a shared place of rest and reflection for patients and their loved ones as well as for physicians and other health care clinicians. The Healing Bench artwork thus represents the collective unity of communal decision making and reflections, as clinicians deliver compassionate patient care from bench to bedside.

WITHDRAWN: Triangular neutrosophic network with shortest path

Abstract In this article, we're concerned with symmetry with Triangular Neutrosophic Fuzzy Number. The acyclic network decides the shortest path. Because of more than one home, it's the best decision. Multi-attribute community decision making (MAGDM), in particular, allows the most appropriate set of items based on data collected by more than one decision-maker.

Factors influencing acceptance or rejection regarding being the host community for post-disaster resettlements in developing countries

Post-disaster relocations have both positive and negative impacts on host communities. Receiving the host community's willingness to host the new community is essential to ensure integration and the sustainability of the new resettlement. This “willingness” is influenced by a variety of factors which have not been adequately studied by researchers and policymakers. This study, therefore, investigates the latent variables influencing a host community's decision to accept or reject disaster-induced resettlements. The study employed a survey approach utilising a questionnaire that contained 70 factors influencing host communities' perspectives on resettlements. A randomly selected 250 respondents from host communities were asked to indicate the factors that influence their level of agreement to be the host for displaced parties based on a 1–5 Likert-scale. The responses were analysed using the factor analysis: principal component analysis (PCA) and exploratory factor analysis (EFA) respectively. The PCA extracted 16 components which influence a host community's decision to accept/reject displaced communities (which account for nearly 70% of the total variance). The three most significant components were the impact on livelihoods and access to resources (total variance of 13%), political power and human wellbeing (9%), access to public services and social security (7%). The EFA revealed 58 sub-latent variables consisting of a majority of rejection factors (90%) with very few influences to accept displaced communities. The study's findings can be used by authorities and policymakers who design and implement post-disaster relocation programmes in understanding a host community's viewpoints and their involvement in making the resettlements successful and sustainable.

Investment Decision of PTKIN Academic Community in Central Java and Yogyakarta in the Online Trading System

<p><em>This research aims to predict the effect of financial literacy, ease of entry into the capital market and the role of university to academic community’s investment decisions on the online trading system. This empirical research was carried out by taking academic community of State Islamic University (PTKIN) in Central Java and Yogyakarta as the subjects of the research. The novelty of this research is the formulation of indicators of ease of entry to the capital market and the role of university, which are formulated through not only literature review, but also field observations. Using Partial Least Square (PLS) as the analysis tools, this research finds that financial literacy and ease of entry are being able to predict the influence the academic community's investment decisions. Role of universities variable, although it is empirically proven that four PTKIN samples have been maximized, can not been able to influence the investment decisions of the academic community.</em></p>

Artificial Intelligence’s Role in Community Engagement within the Democratic Process

This invited essay to the special issue, Intersections of Artificial Intelligence and Community Well-being, discusses the potential of Artificial Intelligence (AI) for community decision-making with the aim to improve public debate leading to better outcomes in terms of community well-being. This AI-supported approach would also allow for greater citizen participation in community decision-making regarding the main decisions impacting well-being of communities by making fact-based public debate more accessible to the lay public.

How context and attention shape behaviors in online communities: a modified garbage can model

AbstractOnline communities have emerged as important organizational forms, but there are many gaps in our understanding. In particular, researchers have mainly focused on individual-level drivers of behaviors in communities, while downplaying (formal, informal) context at various levels. We theorize that different dimensions of context (i.e. omnibus and discrete context) influence decision-making in online communities through mechanisms involving community members’ attention. Specifically, context influences which problems members perceive and which solutions they retrieve and apply, thereby shaping the process of matching solutions and problems. We derive four hypotheses about contribution behaviors in online communities and how such behaviors are influenced by context. The empirical setting for our study is the open-source software community. We find support for our hypotheses in a unique dataset that captures the behavior of 24,057 community members who used the SourceForge.net online platform from 2000 to 2002.

Enhancing resilient community decision-making using building performance simulation

It is widely acknowledged that faced with diverse future impacts (including extreme weather events, economic instability, energy supply vulnerabilities and pandemics) buildings and communities’ worldwide need to become increasingly resilient. The work presented in this paper investigates how Community Design and Decision Making (CDDM) processes can be enhanced using smart decision making techniques involving Building Performance Simulation (BPS). This work presents action research based on findings from a real-world case study project involving the design of a mixed-use zero carbon community centre, planned for the Findhorn Eco-Community, in Scotland, UK.Throughout the conceptual and early design stages the community played a crucial part in the decision-making process. BPS results coupled with the use of sensitivity analysis (SA) techniques incorporating resilience as a performance criterion contributed to establishing a multi-criteria evidence base from which to inform the CDDM process.Although not yet fully implemented in commercial simulation tools, the approaches used (e.g. uncertainty analysis, using resilience as a performance objective) proved to be invaluable in informing and facilitating the CDDM process. Overall an integrated two-way communication process (using BPS and uncertainty analysis for decision support) enabled the community to play an informed role in the design decision-making process.

Analytical capacity of financial statements against the backdrop of the COVID-19 pandemic

Subject. The paper explores the analytical capabilities of information disclosed in financial statements in the context of the COVID-19 pandemic. Objectives. The purpose is to identify the impact of the pandemic on financial statements and their analytical capabilities for investment decision-making. Methods. The study draws on methods of logical, statistical, comparative, and linguistic analysis. We analyze financial statements of Russian and foreign companies, paying special attention to the completeness of disclosed information on the impact of the pandemic on business and financial performance. We review annual financial statements for 2019, and interim reports for 2020. Results. We unveil the areas of disclosures that are most critical for the investment community and investment decision making, and vital for the analysis of financial performance and cash flows, given the unprecedented impact of the COVID-19 pandemic. The findings may be applicable to financial reporting preparation by economic entities in terms of disclosure on various forms of transformation and adaptation of businesses to the new crisis conditions; modernization of accounting rules at the level of external and internal standards in the direction of coordinating financial and non-financial reporting information; enhancement of analytical capacity of disclosures. Conclusions. The study confirms the scientific hypothesis that investors require detailed disclosure in all areas of the pandemic impact. To evaluate the going concern assumption and to forecast cash flows, users need disclosures on business strategy, the business model and its adaptability to the conditions of the new normality, sources of cash flow generation, and their use areas.

Climate change adaptation policy and practice: The role of agents, institutions and systems

Surrey, British Columbia, stands out in its efforts to go beyond the provincial mandate on climate change mitigation and incorporate adaptation into strategic planning. The community is not currently overwhelmed by climate change impacts, and has local agents and institutions in place to facilitate anticipatory climate adaptation planning. However, as seen with many other coastal communities, implementation of adaptation action is lagging in practice. Framed through the lens of resilience theory, this research investigates climate change threats and the dynamic relationship between local scale adaptation policy development, integration and implementation in practice. With Surrey as a case study, this research examines key actor narratives and strategic planning documents in order to understand how the community acts on climate change adaptation while being mandated to address mitigation. Findings suggests that while resilience building agents (e.g. senior management, elected officials) can spearhead and organize climate action, their ability to implement goals and policies in practice is largely determined by the robustness of institutions (e.g. strategic plans, policies) and systems (e.g. infrastructure, ecosystems). This case may provide decision-makers in other communities coping with similar climate threats with insight into the factors that can enable and challenge local adaptation planning processes.

Engagement and social acceptance in genome editing for human benefit: Reflections on research and practice in a global context.

While there are both practical and ethical reasons for public engagement in science and innovation, real-world detailed examples of engagement practice and the lessons to come from these are still hard to find. This paper showcases three contextually diverse case studies of engagement practice. Case 1 recounts the experiences of a government-funded initiative to involve scientists and policy makers as science communicators for the purpose of engaging the Argentine public on gene editing. Case 2 describes the research methodologies used to elicit diverse stakeholder views in the face of political uncertainty and institutional distrust in India. Finally, case 3 unpacks the tensions and gaps with existing international guidelines for ensuring local voices are respected in community decision-making in Burkina Faso. Each case shares its own compelling rationale for selecting the engagement method chosen and details the challenges encountered along the way. Each case shares its vision for creating legitimate opportunities for broader societal involvement in the planning, conduct and delivery of responsible science. These cases demonstrate the nuances, sensitivities and challenges of engaging with publics and broader stakeholders in discussions about genome editing for human benefit.

Planning to teach difficult history through historical inquiry: The case of school desegregation

This exploratory study investigates the ways in which secondary U.S. history teachers who attended two iterations of a teacher professional development workshop, focusing on the history of school desegregation in Virginia, planned to teach the history of school desegregation through historical inquiry. Conceptualizing the history of school desegregation as difficult history, the authors conducted the content analysis of 23 written lesson plans generated by workshop participants. The historiography of school desegregation, and research on four dimensions of historical inquiry such as Change and Continuity, Causation, Multiple Perspectives and Historical Sources, guided the data analysis. The findings suggest that teachers in this study were most likely to design their inquiry around Causation, framing the history of school desegregation within the classical timeline of the Civil Rights Movement, which begins with the Brown v. Board of Education decision (1954) and ends with the Civil Rights Act of 1968. What was often absent in these inquiries was Massive Resistance, the backlash against the Brown v. Board of Education decision, collective and political actions of African American communities to implement the Brown decision, and varying perspectives within African American communities as well as Whites who opposed the Brown decision. Implications for theory and practice are discussed.

STATISTICAL ANALYSIS OF THE ECONOMETRIC INDICATORS IN THE FIELD OF TAX ADMINISTRATION IN SEVEN STATES OF EUROPEAN UNION

The mathematical analysis presented in this study identifies models of the dynamics of total tax collections and social contributions per inhabitant according to the gross domestic product per inhabitant from 2009 to 2018 for seven states in Eastern Europe by linear regression equations. The models are statistically confirmed as viable models because the required conditions for formulating this assessment are met. This study has the value and usefulness of preventive information for the correction and substantiation of individual governmental and community decisions, in order to homogenize both from the point of view of the fiscal behavior of each state and the point of view of economic development, in correlation with a financial and budgetary policy to maintain macroeconomic balances and economic stability.

Impacts of community forestry on forest condition: Evidence from Sri Lanka's intermediate zone.

Sri Lanka's community forestry (CF) program emerged in the early 1980s following a global trend to conserve forest resources and provide benefits to the local community. However, very little is known about the effect of CF on forest resources. We assess the impacts of CF on forest conditions of semi-mixed evergreen forest in the intermediate zone of Sri Lanka using the before-after control-impact method. The study examines tree density, regeneration, woody species diversity, and evidence of disturbance as parameters to analyze the impact of the CF program. Data are analyzed using the difference in differences approach. The results show that the CF program has increased seedling and sapling density to a significant degree and reduced human disturbances. A major contribution of the CF program is that it was found to reduce invasive species and forest fires. The program reduced the amount of invasive species up to six times less than previous. The findings revealed that the impact of CF on forests may vary depending on pre-existing forest conditions, length of period to implement, perception, and decisions by local people. Community understanding and decision-making, in tandem with government policy, will weigh heavily on its future effectiveness.

ANALYZING SEVERAL FACTORS THAT INFLUENCE PEOPLE TO MAKE LOANS ONLINE

The purpose of this study was to determine the influence of cultural factors and psychological factors on people's decisions to apply for online loans (fintech) with religious factors as an intervening variable. The population in this study were the people of West Sumatra. The research sampling method was 100 people using quota sampling. Data processing with SmartPLS 3.0. The results of this study are Cultural Factors mediated by Religious Factors on Community Decisions to Apply for Online Loans (Fintech) and Psychological Factors mediated by Religious Factors on Community Decisions to Apply for Online Loans (Fintech).

Stakeholder Contradictions and Win-Win Strategies for Tourism Along the Ancient Tea Horse Road in the South of Yunnan Based on Game Analysis

With the emergence of the concept of cultural routes, researchers have increasingly turned their attention to the sustainable development of tourism along cultural routes. The needs for community participation and the ongoing provision of benefits of stakeholders are characteristics of cultural routes. Therefore, the importance of cooperative relations and systematic development among stakeholders in tourism activities along cultural routes has become a subject of interest. This paper selects local government, tourism enterprises and local community residents, all of which play a key role in the Ancient Tea Horse Road cultural route in the south of Yunnan, as the main stakeholders. We use game theory to construct a model to trace interactions between local government and tourism enterprises, between tourism enterprises and community residents, and between local government and community residents. The paper then analyzes the different interests of the three parties and key factors that influence them in the game process. This provided a certain scientific basis for the win-win decisions regarding tourism development made by the three parties. Our results show that the final decision choices of the three parties depend on the initial payoff matrix of the game, and the influence of key parameters. When making decisions about tourism, the government should respect the wishes of local residents, strengthen protections of local traditions, manage the unreasonable behavior of tourism enterprises as they develop tourism, and develop appropriate penalties for violations of regulations. When tourism enterprises carry out tourism development, they should let community residents take the initiative and fully participate in tourism activities, and be sure that income from tourism is fed back to local residents, to ensure that tourism is mutually beneficial. The study shows that conflicts among the three parties originated mainly from differences in interests, but that the three parties also shared common interests. With a goal of coordinating interests, we can establish relevant mechanisms, follow the principle of interest realization, attach importance to supervision and management, strengthen community participation and decision-making, and realize win-win results for the three parties.